[ { "id": "bbeh:boardgame_qa:000", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bee has a football with a radius of 15 inches. The chihuahua has a banana-strawberry smoothie. The chihuahua lost her keys. The cobra suspects the truthfulness of the fangtooth. The cougar is named Tarzan. The crab has two friends that are wise and 1 friend that is not. The crab is named Tessa. The crow tears down the castle that belongs to the chihuahua. The dalmatian borrows one of the weapons of the fish. The duck is a marketing manager. The seal pays money to the bulldog. The shark brings an oil tank for the dove. The stork has a card that is white in color, and is watching a movie from 1924. The vampire tears down the castle that belongs to the ostrich. The wolf has a card that is indigo in color. The zebra borrows one of the weapons of the mouse. The butterfly does not tear down the castle that belongs to the dragon. The fish does not swim in the pool next to the house of the pelikan. The gadwall does not unite with the monkey. The goose does not borrow one of the weapons of the chihuahua. And the rules of the game are as follows. Rule1: The stork will not pay money to the beaver if it (the stork) is watching a movie that was released after world war 2 started. Rule2: If the beetle does not suspect the truthfulness of the finch, then the finch manages to convince the ant. Rule3: One of the rules of the game is that if the dachshund shouts at the leopard, then the leopard will never shout at the finch. Rule4: If you are positive that one of the animals does not leave the houses that are occupied by the husky, you can be certain that it will not create a castle for the badger. Rule5: If the stork has a basketball that fits in a 23.6 x 22.1 x 26.8 inches box, then the stork pays some $$$ to the beaver. Rule6: The stork will not pay money to the beaver if it (the stork) has a card whose color appears in the flag of Japan. Rule7: If at least one animal dances with the camel, then the songbird shouts at the reindeer. Rule8: The crab will not dance with the camel if it (the crab) has a name whose first letter is the same as the first letter of the cougar's name. Rule9: The wolf will swim inside the pool located besides the house of the goat if it (the wolf) has a notebook that fits in a 21.7 x 17.4 inches box. Rule10: If something does not swim in the pool next to the house of the pelikan, then it smiles at the flamingo. Rule11: The songbird does not shout at the reindeer, in the case where the swan neglects the songbird. Rule12: The rhino unquestionably pays money to the finch, in the case where the fish shouts at the rhino. Rule13: One of the rules of the game is that if the butterfly does not tear down the castle of the dragon, then the dragon will, without hesitation, tear down the castle of the worm. Rule14: From observing that an animal does not swim inside the pool located besides the house of the goat, one can conclude that it neglects the reindeer. Rule15: If you are positive that you saw one of the animals suspects the truthfulness of the seal, you can be certain that it will also fall on a square that belongs to the poodle. Rule16: For the badger, if you have two pieces of evidence 1) the stork brings an oil tank for the badger and 2) the chihuahua does not create one castle for the badger, then you can add that the badger will never take over the emperor of the german shepherd to your conclusions. Rule17: The living creature that does not pay some $$$ to the beaver will never bring an oil tank for the badger. Rule18: If the badger shouts at the finch, then the finch is not going to manage to persuade the ant. Rule19: This is a basic rule: if the dalmatian borrows one of the weapons of the fish, then the conclusion that \"the fish will not smile at the flamingo\" follows immediately and effectively. Rule20: If something leaves the houses that are occupied by the mule, then it dances with the dragonfly, too. Rule21: This is a basic rule: if the seal pays money to the bulldog, then the conclusion that \"the bulldog suspects the truthfulness of the seal\" follows immediately and effectively. Rule22: If you are positive that one of the animals does not take over the emperor of the german shepherd, you can be certain that it will shout at the finch without a doubt. Rule23: There exists an animal which unites with the akita? Then the fish definitely shouts at the rhino. Rule24: This is a basic rule: if the woodpecker destroys the wall constructed by the dachshund, then the conclusion that \"the dachshund shouts at the leopard\" follows immediately and effectively. Rule25: The wolf will swim inside the pool located besides the house of the goat if it (the wolf) has a card whose color starts with the letter \"n\". Rule26: If something does not pay money to the swallow, then it unites with the akita. Rule27: There exists an animal which falls on a square that belongs to the poodle? Then the frog definitely dances with the bear. Rule28: Here is an important piece of information about the chihuahua: if it has a card whose color is one of the rainbow colors then it leaves the houses occupied by the husky for sure. Rule29: Here is an important piece of information about the chihuahua: if it has a leafy green vegetable then it leaves the houses occupied by the husky for sure. Rule30: If at least one animal negotiates a deal with the liger, then the stork brings an oil tank for the badger. Rule31: The elk does not build a power plant near the green fields of the rhino whenever at least one animal calls the walrus. Rule32: If something creates one castle for the bear, then it does not dance with the bear. Rule33: There exists an animal which suspects the truthfulness of the fangtooth? Then the crab definitely dances with the camel. Rule34: If something does not manage to convince the ant but stops the victory of the beetle, then it will not shout at the mermaid. Rule35: The duck will not call the walrus if it (the duck) works in computer science and engineering. Rule36: If you are positive that you saw one of the animals shouts at the dolphin, you can be certain that it will not pay money to the finch. Rule37: If the chihuahua does not have her keys, then the chihuahua does not leave the houses occupied by the llama. Rule38: Here is an important piece of information about the bee: if it has a football that fits in a 40.3 x 34.3 x 34.3 inches box then it negotiates a deal with the liger for sure. Rule39: If the wolf neglects the reindeer, then the reindeer trades one of its pieces with the leopard. Rule40: There exists an animal which dances with the bear? Then, the beetle definitely does not suspect the truthfulness of the finch. Rule41: The gadwall leaves the houses that are occupied by the mule whenever at least one animal borrows a weapon from the mouse. Rule42: If there is evidence that one animal, no matter which one, tears down the castle of the ostrich, then the wolf is not going to swim in the pool next to the house of the goat. Rule43: If at least one animal dances with the dragonfly, then the rhino reveals a secret to the otter. Rule44: If the fish smiles at the flamingo, then the flamingo is not going to pay money to the swallow. Rule45: This is a basic rule: if the crow tears down the castle that belongs to the chihuahua, then the conclusion that \"the chihuahua will not leave the houses occupied by the husky\" follows immediately and effectively. Rule46: There exists an animal which brings an oil tank for the dove? Then the duck definitely calls the walrus. Rule47: Here is an important piece of information about the duck: if it has more than three friends then it does not call the walrus for sure. Rule48: The woodpecker destroys the wall built by the dachshund whenever at least one animal tears down the castle that belongs to the worm. Rule49: One of the rules of the game is that if the leopard does not shout at the finch, then the finch will, without hesitation, stop the victory of the beetle. Rule10 is preferred over Rule19. Rule11 is preferred over Rule7. Rule18 is preferred over Rule2. Rule25 is preferred over Rule42. Rule28 is preferred over Rule45. Rule29 is preferred over Rule45. Rule30 is preferred over Rule17. Rule32 is preferred over Rule27. Rule33 is preferred over Rule8. Rule35 is preferred over Rule46. Rule36 is preferred over Rule12. Rule47 is preferred over Rule46. Rule5 is preferred over Rule1. Rule5 is preferred over Rule6. Rule9 is preferred over Rule42. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the finch shout at the mermaid? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:002", "request": "A few players are playing a boardgame. The current state of the game is as follows. The rhino is currently in Ottawa. The stork stops the victory of the rhino. And the rules of the game are as follows. Rule1: If the butterfly disarms the rhino and the stork stops the victory of the rhino, then the rhino will not enjoy the company of the badger. Rule2: From observing that an animal wants to see the pigeon, one can conclude the following: that animal does not borrow a weapon from the bulldog. Rule3: From observing that an animal does not enjoy the company of the badger, one can conclude the following: that animal will not borrow one of the weapons of the dragon. Rule4: Regarding the rhino, if it is in Canada at the moment, then we can conclude that it enjoys the company of the badger. Rule5: If there is evidence that one animal, no matter which one, enjoys the company of the badger, then the shark borrows one of the weapons of the dragon undoubtedly. Rule6: This is a basic rule: if the pigeon wants to see the dugong, then the conclusion that \"the dugong wants to see the pigeon\" follows immediately and effectively. Rule7: The living creature that swears to the gadwall will never manage to persuade the peafowl. Rule8: There exists an animal which manages to convince the peafowl? Then the pigeon definitely wants to see the dugong. Rule9: The songbird manages to persuade the peafowl whenever at least one animal borrows a weapon from the dragon. Rule10: From observing that an animal does not neglect the gorilla, one can conclude the following: that animal will not want to see the dugong. Rule1 is preferred over Rule4. Rule10 is preferred over Rule8. Rule3 is preferred over Rule5. Rule7 is preferred over Rule9. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the dugong borrow one of the weapons of the bulldog? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:003", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant has a basketball with a diameter of 25 inches. The ant is a software developer. The bee has a cutter. The dachshund has a 16 x 17 inches notebook, and struggles to find food. The dove creates one castle for the fangtooth. The elk captures the king of the swallow. The gorilla disarms the zebra. The songbird has some spinach. The starling shouts at the stork. The swallow does not suspect the truthfulness of the chihuahua. And the rules of the game are as follows. Rule1: The pelikan does not suspect the truthfulness of the reindeer whenever at least one animal trades one of the pieces in its possession with the dugong. Rule2: Regarding the bee, if it has a sharp object, then we can conclude that it does not shout at the dinosaur. Rule3: Regarding the ant, if it works in healthcare, then we can conclude that it invests in the company whose owner is the goat. Rule4: Regarding the ant, if it has a basketball that fits in a 27.5 x 29.6 x 27.2 inches box, then we can conclude that it invests in the company whose owner is the goat. Rule5: If the snake surrenders to the butterfly, then the butterfly trades one of its pieces with the dugong. Rule6: There exists an animal which disarms the zebra? Then the german shepherd definitely hides her cards from the rhino. Rule7: One of the rules of the game is that if the bee shouts at the dinosaur, then the dinosaur will, without hesitation, acquire a photograph of the shark. Rule8: If something swims in the pool next to the house of the fangtooth, then it does not neglect the crab. Rule9: If the songbird is watching a movie that was released before the Internet was invented, then the songbird does not pay some $$$ to the beaver. Rule10: The vampire suspects the truthfulness of the llama whenever at least one animal hides her cards from the mermaid. Rule11: From observing that an animal does not negotiate a deal with the seal, one can conclude the following: that animal will not negotiate a deal with the wolf. Rule12: One of the rules of the game is that if the songbird pays some $$$ to the beaver, then the beaver will, without hesitation, hide the cards that she has from the mermaid. Rule13: The songbird will pay money to the beaver if it (the songbird) has a leafy green vegetable. Rule14: If you are positive that you saw one of the animals surrenders to the fish, you can be certain that it will also negotiate a deal with the seal. Rule15: If there is evidence that one animal, no matter which one, hides the cards that she has from the rhino, then the lizard acquires a photograph of the beetle undoubtedly. Rule16: This is a basic rule: if the dachshund does not take over the emperor of the starling, then the conclusion that the starling takes over the emperor of the pelikan follows immediately and effectively. Rule17: If you are positive that you saw one of the animals builds a power plant near the green fields of the walrus, you can be certain that it will not take over the emperor of the pelikan. Rule18: The living creature that shouts at the stork will also build a power plant close to the green fields of the walrus, without a doubt. Rule19: If there is evidence that one animal, no matter which one, acquires a photograph of the beetle, then the vampire swears to the beetle undoubtedly. Rule20: If something tears down the castle of the cougar, then it does not suspect the truthfulness of the llama. Rule21: This is a basic rule: if the vampire hides the cards that she has from the rhino, then the conclusion that \"the rhino stops the victory of the crab\" follows immediately and effectively. Rule22: Here is an important piece of information about the dachshund: if it has access to an abundance of food then it does not take over the emperor of the starling for sure. Rule23: The swallow unquestionably swears to the shark, in the case where the elk captures the king of the swallow. Rule24: In order to conclude that crab does not call the goose, two pieces of evidence are required: firstly the pelikan neglects the crab and secondly the rhino stops the victory of the crab. Rule25: If there is evidence that one animal, no matter which one, creates one castle for the fangtooth, then the bee shouts at the dinosaur undoubtedly. Rule26: If the woodpecker negotiates a deal with the butterfly, then the butterfly is not going to trade one of its pieces with the dugong. Rule27: If something negotiates a deal with the german shepherd, then it does not stop the victory of the crab. Rule28: If there is evidence that one animal, no matter which one, invests in the company whose owner is the goat, then the snake surrenders to the butterfly undoubtedly. Rule29: The dachshund will not take over the emperor of the starling if it (the dachshund) has a notebook that fits in a 19.1 x 20.5 inches box. Rule30: If there is evidence that one animal, no matter which one, acquires a photo of the shark, then the pelikan shouts at the butterfly undoubtedly. Rule31: This is a basic rule: if the starling takes over the emperor of the pelikan, then the conclusion that \"the pelikan will not negotiate a deal with the seal\" follows immediately and effectively. Rule32: Be careful when something does not negotiate a deal with the wolf and also does not suspect the truthfulness of the reindeer because in this case it will surely neglect the crab (this may or may not be problematic). Rule33: The dachshund takes over the emperor of the starling whenever at least one animal dances with the ostrich. Rule34: One of the rules of the game is that if the swallow swears to the shark, then the shark will never swear to the pelikan. Rule35: If you are positive that you saw one of the animals suspects the truthfulness of the llama, you can be certain that it will also hide the cards that she has from the rhino. Rule14 is preferred over Rule31. Rule16 is preferred over Rule17. Rule20 is preferred over Rule10. Rule25 is preferred over Rule2. Rule26 is preferred over Rule5. Rule27 is preferred over Rule21. Rule33 is preferred over Rule22. Rule33 is preferred over Rule29. Rule8 is preferred over Rule32. Rule9 is preferred over Rule13. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the crab call the goose? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:004", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita falls on a square of the snake. The basenji invests in the company whose owner is the pelikan. The butterfly is 21 months old. The butterfly is a teacher assistant. The cobra smiles at the dolphin. The dragonfly has a football with a radius of 15 inches, and has a tablet. The gorilla has 55 dollars, and has a hot chocolate. The gorilla is watching a movie from 2023. The poodle has 39 dollars. The stork has a card that is red in color. The stork is currently in Berlin. And the rules of the game are as follows. Rule1: Here is an important piece of information about the stork: if it has a card whose color appears in the flag of Netherlands then it brings an oil tank for the snake for sure. Rule2: This is a basic rule: if the chihuahua pays money to the bison, then the conclusion that \"the bison will not destroy the wall built by the liger\" follows immediately and effectively. Rule3: There exists an animal which destroys the wall built by the zebra? Then the dragonfly definitely dances with the mule. Rule4: Regarding the butterfly, if it works in marketing, then we can conclude that it pays money to the beetle. Rule5: Here is an important piece of information about the gorilla: if it is watching a movie that was released before Justin Trudeau became the prime minister of Canada then it reveals something that is supposed to be a secret to the pigeon for sure. Rule6: The dragonfly will not dance with the mule if it (the dragonfly) has a device to connect to the internet. Rule7: Are you certain that one of the animals wants to see the dugong and also at the same time tears down the castle of the chinchilla? Then you can also be certain that the same animal does not tear down the castle of the peafowl. Rule8: If something tears down the castle that belongs to the peafowl, then it does not destroy the wall built by the songbird. Rule9: If the snake does not negotiate a deal with the dachshund, then the dachshund stops the victory of the bison. Rule10: From observing that an animal does not hug the owl, one can conclude the following: that animal will not negotiate a deal with the dachshund. Rule11: Regarding the stork, if it works in education, then we can conclude that it does not bring an oil tank for the snake. Rule12: If at least one animal pays some $$$ to the beetle, then the dragonfly disarms the leopard. Rule13: This is a basic rule: if the dachshund stops the victory of the bison, then the conclusion that \"the bison destroys the wall constructed by the liger\" follows immediately and effectively. Rule14: The living creature that invests in the company owned by the pelikan will also call the lizard, without a doubt. Rule15: Regarding the gorilla, if it has fewer than fifteen friends, then we can conclude that it does not tear down the castle of the chinchilla. Rule16: If the dragonfly hides her cards from the dachshund, then the dachshund leaves the houses occupied by the elk. Rule17: If something reveals something that is supposed to be a secret to the pigeon, then it tears down the castle that belongs to the peafowl, too. Rule18: From observing that one animal disarms the leopard, one can conclude that it also hides her cards from the dachshund, undoubtedly. Rule19: There exists an animal which smiles at the dolphin? Then, the snake definitely does not hug the owl. Rule20: Here is an important piece of information about the stork: if it is in Turkey at the moment then it brings an oil tank for the snake for sure. Rule21: The dachshund smiles at the vampire whenever at least one animal destroys the wall constructed by the liger. Rule22: The dragonfly will not dance with the mule if it (the dragonfly) has a football that fits in a 33.1 x 24.1 x 27.2 inches box. Rule23: This is a basic rule: if the gorilla does not destroy the wall constructed by the songbird, then the conclusion that the songbird creates a castle for the gadwall follows immediately and effectively. Rule24: Regarding the butterfly, if it is less than four years old, then we can conclude that it pays some $$$ to the beetle. Rule25: There exists an animal which calls the lizard? Then the dachshund definitely tears down the castle that belongs to the bulldog. Rule26: If the gadwall does not swim inside the pool located besides the house of the vampire however the dachshund smiles at the vampire, then the vampire will not hide the cards that she has from the husky. Rule27: The living creature that destroys the wall built by the coyote will never tear down the castle that belongs to the bulldog. Rule28: If the gorilla has more money than the poodle, then the gorilla reveals a secret to the pigeon. Rule29: Here is an important piece of information about the gorilla: if it has something to drink then it tears down the castle of the chinchilla for sure. Rule30: The gadwall does not swim in the pool next to the house of the vampire, in the case where the songbird creates one castle for the gadwall. Rule11 is preferred over Rule1. Rule11 is preferred over Rule20. Rule15 is preferred over Rule29. Rule2 is preferred over Rule13. Rule27 is preferred over Rule25. Rule3 is preferred over Rule22. Rule3 is preferred over Rule6. Rule7 is preferred over Rule17. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the vampire hide the cards that she has from the husky? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:006", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita is watching a movie from 1974. The akita is a high school teacher. The dove has a football with a radius of 30 inches. The elk is 3 years old. The german shepherd unites with the ant. The mouse acquires a photograph of the liger, reduced her work hours recently, and does not tear down the castle that belongs to the camel. The peafowl disarms the wolf. The poodle calls the beaver. The stork does not enjoy the company of the walrus. And the rules of the game are as follows. Rule1: This is a basic rule: if the cougar captures the king of the crab, then the conclusion that \"the crab will not want to see the bear\" follows immediately and effectively. Rule2: From observing that an animal does not suspect the truthfulness of the fangtooth, one can conclude the following: that animal will not stop the victory of the fangtooth. Rule3: From observing that an animal unites with the ant, one can conclude the following: that animal does not swim inside the pool located besides the house of the flamingo. Rule4: The peafowl does not swear to the shark, in the case where the poodle takes over the emperor of the peafowl. Rule5: The walrus unquestionably neglects the peafowl, in the case where the stork does not enjoy the company of the walrus. Rule6: If at least one animal disarms the wolf, then the dove pays some $$$ to the dolphin. Rule7: The walrus will not neglect the peafowl if it (the walrus) is less than three years old. Rule8: If something swears to the dinosaur, then it trades one of the pieces in its possession with the bison, too. Rule9: If something does not tear down the castle that belongs to the camel but acquires a photograph of the liger, then it falls on a square of the flamingo. Rule10: This is a basic rule: if the flamingo does not negotiate a deal with the basenji, then the conclusion that the basenji reveals something that is supposed to be a secret to the gadwall follows immediately and effectively. Rule11: From observing that one animal neglects the woodpecker, one can conclude that it also takes over the emperor of the seal, undoubtedly. Rule12: The crab wants to see the bear whenever at least one animal pays some $$$ to the dolphin. Rule13: If you are positive that you saw one of the animals reveals a secret to the wolf, you can be certain that it will also refuse to help the dalmatian. Rule14: From observing that an animal does not surrender to the gorilla, one can conclude that it acquires a photo of the bear. Rule15: The basenji stops the victory of the fangtooth whenever at least one animal borrows one of the weapons of the dugong. Rule16: Here is an important piece of information about the akita: if it is watching a movie that was released before the first man landed on moon then it borrows one of the weapons of the dugong for sure. Rule17: If the basenji reveals something that is supposed to be a secret to the gadwall, then the gadwall suspects the truthfulness of the bison. Rule18: If there is evidence that one animal, no matter which one, takes over the emperor of the seal, then the bear is not going to trade one of its pieces with the bison. Rule19: If the elk is more than fifteen months old, then the elk does not surrender to the gorilla. Rule20: The akita will borrow a weapon from the dugong if it (the akita) works in education. Rule21: One of the rules of the game is that if the german shepherd does not swim in the pool next to the house of the flamingo, then the flamingo will never negotiate a deal with the basenji. Rule22: If the walrus neglects the peafowl, then the peafowl neglects the woodpecker. Rule23: The living creature that calls the beaver will also take over the emperor of the peafowl, without a doubt. Rule24: For the bison, if the belief is that the gadwall suspects the truthfulness of the bison and the bear trades one of its pieces with the bison, then you can add that \"the bison is not going to invest in the company whose owner is the coyote\" to your conclusions. Rule25: If the elk acquires a photo of the bear, then the bear swears to the dinosaur. Rule26: If the bison does not invest in the company whose owner is the coyote, then the coyote does not refuse to help the dalmatian. Rule1 is preferred over Rule12. Rule13 is preferred over Rule26. Rule2 is preferred over Rule15. Rule7 is preferred over Rule5. Rule8 is preferred over Rule18. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the coyote refuse to help the dalmatian? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:011", "request": "A few players are playing a boardgame. The current state of the game is as follows. The basenji has 6 dollars. The cougar has 26 dollars. The crab leaves the houses occupied by the finch. The dachshund pays money to the starling. The dachshund will turn 17 months old in a few minutes. The dragon is watching a movie from 1982. The gorilla surrenders to the goose. The mannikin falls on a square of the swan. The monkey has 66 dollars. The mule leaves the houses occupied by the beetle. The reindeer has a card that is red in color, and wants to see the leopard. The reindeer is watching a movie from 1977. The walrus is 40 and a half weeks old. The walrus is a dentist. The german shepherd does not stop the victory of the ostrich. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the mannikin falls on a square that belongs to the swan, then the swan will, without hesitation, fall on a square that belongs to the mermaid. Rule2: If there is evidence that one animal, no matter which one, stops the victory of the songbird, then the german shepherd builds a power plant near the green fields of the ostrich undoubtedly. Rule3: This is a basic rule: if the llama does not stop the victory of the snake, then the conclusion that the snake brings an oil tank for the flamingo follows immediately and effectively. Rule4: If you are positive that you saw one of the animals acquires a photo of the shark, you can be certain that it will not borrow a weapon from the otter. Rule5: Regarding the reindeer, if it has a card whose color starts with the letter \"e\", then we can conclude that it does not borrow one of the weapons of the bee. Rule6: From observing that an animal hugs the songbird, one can conclude the following: that animal does not build a power plant close to the green fields of the ostrich. Rule7: One of the rules of the game is that if the crab leaves the houses that are occupied by the finch, then the finch will, without hesitation, trade one of the pieces in its possession with the butterfly. Rule8: There exists an animal which borrows a weapon from the otter? Then, the snake definitely does not bring an oil tank for the flamingo. Rule9: From observing that an animal smiles at the camel, one can conclude the following: that animal does not surrender to the poodle. Rule10: If the snake does not bring an oil tank for the flamingo however the dalmatian acquires a photo of the flamingo, then the flamingo will not bring an oil tank for the goat. Rule11: The dachshund will not stop the victory of the vampire if it (the dachshund) is more than sixteen months old. Rule12: If at least one animal leaves the houses that are occupied by the beetle, then the walrus invests in the company whose owner is the duck. Rule13: If the walrus works in marketing, then the walrus does not invest in the company whose owner is the duck. Rule14: From observing that an animal destroys the wall constructed by the dugong, one can conclude the following: that animal does not invest in the company whose owner is the flamingo. Rule15: If the vampire negotiates a deal with the duck, then the duck borrows one of the weapons of the otter. Rule16: Regarding the monkey, if it has more money than the basenji and the cougar combined, then we can conclude that it trades one of the pieces in its possession with the owl. Rule17: If the german shepherd creates a castle for the reindeer, then the reindeer is not going to acquire a photograph of the monkey. Rule18: If something pays some $$$ to the starling and reveals something that is supposed to be a secret to the pigeon, then it stops the victory of the vampire. Rule19: If at least one animal stops the victory of the crow, then the swan does not negotiate a deal with the seahorse. Rule20: There exists an animal which negotiates a deal with the seahorse? Then the dalmatian definitely acquires a photograph of the flamingo. Rule21: One of the rules of the game is that if the reindeer does not invest in the company owned by the flamingo, then the flamingo will, without hesitation, borrow one of the weapons of the mannikin. Rule22: From observing that one animal suspects the truthfulness of the dinosaur, one can conclude that it also negotiates a deal with the seahorse, undoubtedly. Rule23: The butterfly does not swear to the pelikan whenever at least one animal acquires a photo of the bison. Rule24: The vampire negotiates a deal with the duck whenever at least one animal invests in the company owned by the duck. Rule25: If there is evidence that one animal, no matter which one, trades one of its pieces with the chinchilla, then the monkey trades one of its pieces with the dragonfly undoubtedly. Rule26: If something does not stop the victory of the ostrich, then it creates one castle for the reindeer. Rule27: If the dragon is watching a movie that was released after Richard Nixon resigned, then the dragon smiles at the camel. Rule28: From observing that an animal does not borrow one of the weapons of the bee, one can conclude that it acquires a photograph of the monkey. Rule29: This is a basic rule: if the finch trades one of its pieces with the butterfly, then the conclusion that \"the butterfly swears to the pelikan\" follows immediately and effectively. Rule30: If something falls on a square of the mermaid, then it suspects the truthfulness of the dinosaur, too. Rule31: This is a basic rule: if the dragon does not surrender to the poodle, then the conclusion that the poodle stops the victory of the songbird follows immediately and effectively. Rule32: If you are positive that one of the animals does not bring an oil tank for the goat, you can be certain that it will not bring an oil tank for the bear. Rule33: If something acquires a photo of the monkey, then it destroys the wall built by the dugong, too. Rule34: The reindeer will not borrow one of the weapons of the bee if it (the reindeer) is watching a movie that was released after Zinedine Zidane was born. Rule35: The wolf surrenders to the dalmatian whenever at least one animal swears to the pelikan. Rule36: The living creature that does not leave the houses occupied by the beaver will never suspect the truthfulness of the dinosaur. Rule37: If the gorilla surrenders to the goose, then the goose trades one of the pieces in its possession with the chinchilla. Rule12 is preferred over Rule13. Rule18 is preferred over Rule11. Rule19 is preferred over Rule22. Rule23 is preferred over Rule29. Rule28 is preferred over Rule17. Rule3 is preferred over Rule8. Rule36 is preferred over Rule30. Rule4 is preferred over Rule15. Rule6 is preferred over Rule2. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the flamingo bring an oil tank for the bear? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:012", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant has 23 dollars. The chihuahua is a high school teacher. The dachshund is a physiotherapist. The finch has a backpack. The leopard neglects the dachshund. The liger has 88 dollars, and is a grain elevator operator. The mannikin has 46 dollars. The ostrich tears down the castle that belongs to the chihuahua. And the rules of the game are as follows. Rule1: If the wolf does not borrow a weapon from the frog, then the frog does not swim inside the pool located besides the house of the bison. Rule2: Here is an important piece of information about the chihuahua: if it works in education then it captures the king of the dove for sure. Rule3: The living creature that captures the king (i.e. the most important piece) of the dove will also take over the emperor of the stork, without a doubt. Rule4: The frog swims in the pool next to the house of the bison whenever at least one animal pays some $$$ to the peafowl. Rule5: If there is evidence that one animal, no matter which one, surrenders to the bison, then the wolf is not going to borrow a weapon from the frog. Rule6: The finch will not build a power plant close to the green fields of the gadwall if it (the finch) has something to carry apples and oranges. Rule7: Are you certain that one of the animals does not swim inside the pool located besides the house of the bison but it does stop the victory of the husky? Then you can also be certain that this animal enjoys the companionship of the mermaid. Rule8: One of the rules of the game is that if the leopard neglects the dachshund, then the dachshund will, without hesitation, surrender to the bison. Rule9: If the liger works in education, then the liger enjoys the companionship of the gadwall. Rule10: Here is an important piece of information about the dachshund: if it works in computer science and engineering then it does not surrender to the bison for sure. Rule11: One of the rules of the game is that if the gadwall smiles at the dachshund, then the dachshund will, without hesitation, hide her cards from the elk. Rule12: The dachshund will not surrender to the bison if it (the dachshund) has a football that fits in a 55.8 x 56.1 x 58.6 inches box. Rule13: The liger will enjoy the companionship of the gadwall if it (the liger) has more money than the ant and the mannikin combined. Rule14: One of the rules of the game is that if the frog enjoys the company of the mermaid, then the mermaid will never stop the victory of the swallow. Rule15: If something does not stop the victory of the swallow, then it does not invest in the company whose owner is the chinchilla. Rule16: This is a basic rule: if the akita does not want to see the dachshund, then the conclusion that the dachshund will not hide the cards that she has from the elk follows immediately and effectively. Rule17: If there is evidence that one animal, no matter which one, takes over the emperor of the stork, then the frog stops the victory of the husky undoubtedly. Rule18: If the finch does not build a power plant near the green fields of the gadwall, then the gadwall smiles at the dachshund. Rule19: If the dolphin hides the cards that she has from the chihuahua and the ostrich tears down the castle that belongs to the chihuahua, then the chihuahua will not capture the king of the dove. Rule10 is preferred over Rule8. Rule12 is preferred over Rule8. Rule16 is preferred over Rule11. Rule19 is preferred over Rule2. Rule4 is preferred over Rule1. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the mermaid invest in the company whose owner is the chinchilla? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:014", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog is named Chickpea. The chinchilla has a card that is yellow in color. The chinchilla is a nurse. The cobra captures the king of the ant. The coyote is named Beauty. The coyote is a programmer. The dragon surrenders to the swallow. The elk has 59 dollars. The gorilla dreamed of a luxury aircraft. The gorilla has 69 dollars. The liger suspects the truthfulness of the husky. The otter captures the king of the pelikan. The walrus dances with the bee. The songbird does not trade one of its pieces with the gorilla. The woodpecker does not destroy the wall constructed by the german shepherd. And the rules of the game are as follows. Rule1: For the akita, if you have two pieces of evidence 1) the worm tears down the castle that belongs to the akita and 2) the mouse borrows one of the weapons of the akita, then you can add \"akita invests in the company owned by the goat\" to your conclusions. Rule2: If something captures the king (i.e. the most important piece) of the ant, then it does not swear to the gadwall. Rule3: If the chinchilla is in Africa at the moment, then the chinchilla does not smile at the goose. Rule4: The crow does not take over the emperor of the chihuahua, in the case where the dachshund manages to convince the crow. Rule5: If you are positive that you saw one of the animals surrenders to the cougar, you can be certain that it will also capture the king (i.e. the most important piece) of the crab. Rule6: The peafowl does not invest in the company whose owner is the pigeon whenever at least one animal refuses to help the starling. Rule7: From observing that an animal does not trade one of the pieces in its possession with the swallow, one can conclude the following: that animal will not tear down the castle that belongs to the akita. Rule8: There exists an animal which falls on a square that belongs to the camel? Then, the rhino definitely does not surrender to the cougar. Rule9: If something dances with the bee, then it pays money to the rhino, too. Rule10: From observing that an animal does not swear to the gadwall, one can conclude that it refuses to help the crow. Rule11: If something captures the king (i.e. the most important piece) of the wolf, then it does not suspect the truthfulness of the akita. Rule12: If something does not take over the emperor of the worm but hugs the dolphin, then it will not invest in the company whose owner is the goat. Rule13: This is a basic rule: if the cobra refuses to help the crow, then the conclusion that \"the crow takes over the emperor of the chihuahua\" follows immediately and effectively. Rule14: Regarding the chinchilla, if it has a card whose color starts with the letter \"e\", then we can conclude that it smiles at the goose. Rule15: The frog unquestionably brings an oil tank for the duck, in the case where the seal refuses to help the frog. Rule16: From observing that an animal does not disarm the reindeer, one can conclude the following: that animal will not trade one of its pieces with the peafowl. Rule17: If the gorilla swears to the dachshund, then the dachshund manages to convince the crow. Rule18: Here is an important piece of information about the coyote: if it works in computer science and engineering then it trades one of the pieces in its possession with the peafowl for sure. Rule19: If at least one animal smiles at the goose, then the stork does not swim in the pool next to the house of the shark. Rule20: If the songbird does not trade one of its pieces with the gorilla, then the gorilla swears to the dachshund. Rule21: One of the rules of the game is that if the ant wants to see the akita, then the akita will never take over the emperor of the worm. Rule22: If there is evidence that one animal, no matter which one, invests in the company whose owner is the pigeon, then the zebra is not going to negotiate a deal with the ant. Rule23: If something does not swim inside the pool located besides the house of the shark, then it negotiates a deal with the swan. Rule24: The cobra does not refuse to help the crow whenever at least one animal smiles at the ostrich. Rule25: There exists an animal which captures the king (i.e. the most important piece) of the pelikan? Then the seal definitely refuses to help the frog. Rule26: If there is evidence that one animal, no matter which one, enjoys the company of the mouse, then the akita takes over the emperor of the worm undoubtedly. Rule27: If the woodpecker does not destroy the wall built by the german shepherd, then the german shepherd falls on a square of the camel. Rule28: The rhino unquestionably surrenders to the cougar, in the case where the walrus does not pay money to the rhino. Rule29: If there is evidence that one animal, no matter which one, surrenders to the swallow, then the walrus is not going to pay money to the rhino. Rule30: Here is an important piece of information about the chinchilla: if it works in healthcare then it smiles at the goose for sure. Rule31: One of the rules of the game is that if the coyote trades one of the pieces in its possession with the peafowl, then the peafowl will, without hesitation, invest in the company owned by the pigeon. Rule32: This is a basic rule: if the snake suspects the truthfulness of the akita, then the conclusion that \"the akita hugs the dolphin\" follows immediately and effectively. Rule33: From observing that one animal neglects the crab, one can conclude that it also tears down the castle of the akita, undoubtedly. Rule34: If at least one animal negotiates a deal with the swan, then the snake suspects the truthfulness of the akita. Rule35: If there is evidence that one animal, no matter which one, suspects the truthfulness of the husky, then the dachshund tears down the castle of the bison undoubtedly. Rule36: One of the rules of the game is that if the monkey refuses to help the german shepherd, then the german shepherd will never fall on a square that belongs to the camel. Rule37: There exists an animal which takes over the emperor of the chihuahua? Then the ant definitely wants to see the akita. Rule38: Here is an important piece of information about the coyote: if it has a name whose first letter is the same as the first letter of the bulldog's name then it trades one of its pieces with the peafowl for sure. Rule39: If at least one animal captures the king of the crab, then the worm neglects the crab. Rule1 is preferred over Rule12. Rule11 is preferred over Rule34. Rule13 is preferred over Rule4. Rule16 is preferred over Rule18. Rule16 is preferred over Rule38. Rule24 is preferred over Rule10. Rule26 is preferred over Rule21. Rule28 is preferred over Rule8. Rule29 is preferred over Rule9. Rule3 is preferred over Rule14. Rule3 is preferred over Rule30. Rule36 is preferred over Rule27. Rule6 is preferred over Rule31. Rule7 is preferred over Rule33. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the akita invest in the company whose owner is the goat? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:015", "request": "A few players are playing a boardgame. The current state of the game is as follows. The cobra reveals a secret to the songbird. The songbird brings an oil tank for the dachshund. The walrus does not surrender to the goose. And the rules of the game are as follows. Rule1: From observing that one animal surrenders to the chihuahua, one can conclude that it also hides her cards from the poodle, undoubtedly. Rule2: The badger unquestionably refuses to help the coyote, in the case where the swan tears down the castle of the badger. Rule3: If there is evidence that one animal, no matter which one, stops the victory of the coyote, then the cougar is not going to swim inside the pool located besides the house of the goose. Rule4: For the goose, if the belief is that the seal shouts at the goose and the cougar does not swim inside the pool located besides the house of the goose, then you can add \"the goose manages to convince the swan\" to your conclusions. Rule5: From observing that an animal neglects the bulldog, one can conclude the following: that animal does not hide the cards that she has from the poodle. Rule6: The goose unquestionably surrenders to the chihuahua, in the case where the walrus does not surrender to the goose. Rule7: The swan unquestionably tears down the castle of the badger, in the case where the goose does not manage to persuade the swan. Rule8: If something refuses to help the coyote, then it does not bring an oil tank for the reindeer. Rule9: If you are positive that you saw one of the animals brings an oil tank for the dachshund, you can be certain that it will also stop the victory of the coyote. Rule10: From observing that an animal hides her cards from the poodle, one can conclude the following: that animal does not manage to persuade the swan. Rule4 is preferred over Rule10. Rule5 is preferred over Rule1. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the badger bring an oil tank for the reindeer? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:016", "request": "A few players are playing a boardgame. The current state of the game is as follows. The badger builds a power plant near the green fields of the finch. The basenji suspects the truthfulness of the flamingo. The bison shouts at the dragon. The seahorse has a basketball with a diameter of 23 inches, and is watching a movie from 2014. The seahorse manages to convince the songbird. The seal acquires a photograph of the flamingo. And the rules of the game are as follows. Rule1: If at least one animal disarms the llama, then the german shepherd does not surrender to the dolphin. Rule2: The living creature that falls on a square of the shark will also suspect the truthfulness of the german shepherd, without a doubt. Rule3: One of the rules of the game is that if the beetle does not pay some $$$ to the beaver, then the beaver will never smile at the rhino. Rule4: The seahorse will disarm the cobra if it (the seahorse) is watching a movie that was released before Facebook was founded. Rule5: If the cobra suspects the truthfulness of the german shepherd, then the german shepherd surrenders to the dolphin. Rule6: If something builds a power plant near the green fields of the cougar, then it does not swim inside the pool located besides the house of the crow. Rule7: One of the rules of the game is that if the wolf disarms the beaver, then the beaver will, without hesitation, smile at the rhino. Rule8: There exists an animal which swims in the pool next to the house of the crow? Then the cobra definitely falls on a square of the shark. Rule9: If you see that something suspects the truthfulness of the gadwall and dances with the crow, what can you certainly conclude? You can conclude that it does not negotiate a deal with the otter. Rule10: One of the rules of the game is that if the basenji suspects the truthfulness of the flamingo, then the flamingo will, without hesitation, stop the victory of the worm. Rule11: This is a basic rule: if the dinosaur brings an oil tank for the german shepherd, then the conclusion that \"the german shepherd dances with the crow\" follows immediately and effectively. Rule12: If at least one animal stops the victory of the worm, then the wolf disarms the beaver. Rule13: Here is an important piece of information about the seahorse: if it has a basketball that fits in a 32.8 x 24.8 x 29.1 inches box then it disarms the cobra for sure. Rule14: If you are positive that you saw one of the animals shouts at the dragon, you can be certain that it will also swim in the pool next to the house of the crow. Rule15: The akita enjoys the company of the cobra whenever at least one animal builds a power plant close to the green fields of the finch. Rule16: If something surrenders to the dolphin, then it suspects the truthfulness of the gadwall, too. Rule17: The dinosaur brings an oil tank for the german shepherd whenever at least one animal smiles at the rhino. Rule1 is preferred over Rule5. Rule3 is preferred over Rule7. Rule6 is preferred over Rule14. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the german shepherd negotiate a deal with the otter? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:017", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bee is a high school teacher. The beetle has one friend that is loyal and 5 friends that are not. The beetle is named Bella. The goat is watching a movie from 1999. The goat is a farm worker. The monkey is 4 years old. The otter leaves the houses occupied by the seahorse. The poodle calls the vampire. The seahorse has 1 friend that is lazy and 2 friends that are not, and does not destroy the wall constructed by the beetle. The snake invests in the company whose owner is the dove. The walrus is named Buddy. The monkey does not acquire a photograph of the frog. And the rules of the game are as follows. Rule1: This is a basic rule: if the monkey does not reveal something that is supposed to be a secret to the bee, then the conclusion that the bee will not shout at the chinchilla follows immediately and effectively. Rule2: For the stork, if the belief is that the bee does not trade one of the pieces in its possession with the stork but the beetle trades one of the pieces in its possession with the stork, then you can add \"the stork wants to see the goat\" to your conclusions. Rule3: If the bee works in education, then the bee shouts at the dragonfly. Rule4: If you see that something does not shout at the beetle but it reveals a secret to the zebra, what can you certainly conclude? You can conclude that it is not going to trade one of its pieces with the stork. Rule5: If the seahorse works in agriculture, then the seahorse does not enjoy the companionship of the beetle. Rule6: One of the rules of the game is that if the akita trades one of the pieces in its possession with the bee, then the bee will, without hesitation, reveal something that is supposed to be a secret to the zebra. Rule7: Here is an important piece of information about the beetle: if it has a name whose first letter is the same as the first letter of the walrus's name then it does not stop the victory of the swallow for sure. Rule8: Regarding the goat, if it is watching a movie that was released after the Berlin wall fell, then we can conclude that it suspects the truthfulness of the akita. Rule9: The living creature that wants to see the fangtooth will never shout at the beetle. Rule10: From observing that an animal does not create one castle for the dinosaur, one can conclude that it trades one of the pieces in its possession with the bee. Rule11: If the beetle has more than eight friends, then the beetle does not stop the victory of the swallow. Rule12: If at least one animal wants to see the goat, then the finch does not capture the king (i.e. the most important piece) of the pigeon. Rule13: If something destroys the wall constructed by the ant, then it does not bring an oil tank for the beetle. Rule14: One of the rules of the game is that if the poodle calls the vampire, then the vampire will, without hesitation, shout at the liger. Rule15: The goat will suspect the truthfulness of the akita if it (the goat) works in education. Rule16: If the flamingo smiles at the bee, then the bee shouts at the beetle. Rule17: There exists an animal which shouts at the liger? Then the swallow definitely brings an oil tank for the beetle. Rule18: From observing that one animal shouts at the dragonfly, one can conclude that it also wants to see the fangtooth, undoubtedly. Rule19: The akita does not create one castle for the dinosaur whenever at least one animal invests in the company whose owner is the dove. Rule20: If there is evidence that one animal, no matter which one, falls on a square that belongs to the shark, then the bee shouts at the chinchilla undoubtedly. Rule21: If you are positive that you saw one of the animals builds a power plant near the green fields of the camel, you can be certain that it will also invest in the company whose owner is the peafowl. Rule22: If the otter leaves the houses that are occupied by the seahorse, then the seahorse enjoys the company of the beetle. Rule23: Regarding the seahorse, if it has more than five friends, then we can conclude that it does not enjoy the companionship of the beetle. Rule24: If the goat suspects the truthfulness of the akita, then the akita is not going to trade one of its pieces with the bee. Rule25: If you are positive that one of the animals does not stop the victory of the swallow, you can be certain that it will build a power plant near the green fields of the camel without a doubt. Rule26: If something invests in the company whose owner is the peafowl, then it trades one of the pieces in its possession with the stork, too. Rule27: Here is an important piece of information about the monkey: if it is more than two years old then it does not reveal a secret to the bee for sure. Rule10 is preferred over Rule24. Rule13 is preferred over Rule17. Rule16 is preferred over Rule9. Rule20 is preferred over Rule1. Rule23 is preferred over Rule22. Rule5 is preferred over Rule22. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the finch capture the king of the pigeon? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:020", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beetle has 58 dollars. The chinchilla leaves the houses occupied by the pelikan but does not build a power plant near the green fields of the shark. The coyote lost her keys. The dalmatian has 9 dollars. The dinosaur has 35 dollars. The dragon disarms the duck. The dugong has a cell phone. The dugong is a programmer. The fish is named Paco. The frog is named Teddy, and is currently in Berlin. The gadwall is named Max. The leopard has 100 dollars, is watching a movie from 2015, and is a marketing manager. The owl has 61 dollars. The peafowl is named Pablo. The snake manages to convince the goose. The swallow is currently in Venice. The worm falls on a square of the dugong. And the rules of the game are as follows. Rule1: The living creature that dances with the bee will also create one castle for the mouse, without a doubt. Rule2: Here is an important piece of information about the swallow: if it is in Italy at the moment then it captures the king (i.e. the most important piece) of the mouse for sure. Rule3: If the leopard is watching a movie that was released after Shaquille O'Neal retired, then the leopard tears down the castle of the poodle. Rule4: If the chinchilla does not bring an oil tank for the beaver, then the beaver suspects the truthfulness of the cobra. Rule5: The mouse does not destroy the wall constructed by the mermaid whenever at least one animal swears to the liger. Rule6: Regarding the dugong, if it works in marketing, then we can conclude that it invests in the company owned by the elk. Rule7: If the dugong has a device to connect to the internet, then the dugong invests in the company whose owner is the elk. Rule8: The finch negotiates a deal with the husky whenever at least one animal smiles at the lizard. Rule9: If the peafowl has a name whose first letter is the same as the first letter of the fish's name, then the peafowl smiles at the lizard. Rule10: The living creature that refuses to help the flamingo will never acquire a photo of the cougar. Rule11: If at least one animal smiles at the pigeon, then the bulldog does not shout at the monkey. Rule12: If there is evidence that one animal, no matter which one, invests in the company whose owner is the elk, then the rhino acquires a photograph of the cougar undoubtedly. Rule13: If there is evidence that one animal, no matter which one, negotiates a deal with the husky, then the ant borrows a weapon from the llama undoubtedly. Rule14: In order to conclude that the llama destroys the wall constructed by the chihuahua, two pieces of evidence are required: firstly the bulldog does not shout at the llama and secondly the ant does not borrow a weapon from the llama. Rule15: The bulldog does not shout at the llama whenever at least one animal surrenders to the llama. Rule16: One of the rules of the game is that if the starling calls the coyote, then the coyote will never surrender to the llama. Rule17: The llama falls on a square of the gorilla whenever at least one animal acquires a photograph of the cougar. Rule18: One of the rules of the game is that if the beetle swears to the bulldog, then the bulldog will, without hesitation, shout at the monkey. Rule19: If there is evidence that one animal, no matter which one, shouts at the zebra, then the peafowl is not going to smile at the lizard. Rule20: If at least one animal shouts at the mannikin, then the llama smiles at the seahorse. Rule21: If the butterfly works in education, then the butterfly does not create a castle for the vampire. Rule22: This is a basic rule: if the llama does not tear down the castle that belongs to the walrus, then the conclusion that the walrus will not hide her cards from the woodpecker follows immediately and effectively. Rule23: If the frog is in Germany at the moment, then the frog enjoys the companionship of the poodle. Rule24: From observing that an animal does not invest in the company owned by the songbird, one can conclude the following: that animal will not tear down the castle that belongs to the otter. Rule25: The frog will enjoy the companionship of the poodle if it (the frog) has a name whose first letter is the same as the first letter of the gadwall's name. Rule26: The cobra unquestionably tears down the castle that belongs to the otter, in the case where the beaver suspects the truthfulness of the cobra. Rule27: The frog will not enjoy the company of the poodle if it (the frog) has a high salary. Rule28: The living creature that creates a castle for the vampire will also swear to the liger, without a doubt. Rule29: If something leaves the houses occupied by the pelikan, then it does not bring an oil tank for the beaver. Rule30: If the dragon disarms the duck, then the duck dances with the bee. Rule31: Regarding the beetle, if it has more money than the dinosaur and the dalmatian combined, then we can conclude that it swears to the bulldog. Rule32: There exists an animal which manages to persuade the goose? Then the butterfly definitely creates one castle for the vampire. Rule33: If you see that something destroys the wall built by the chihuahua and smiles at the seahorse, what can you certainly conclude? You can conclude that it does not tear down the castle that belongs to the walrus. Rule34: There exists an animal which dances with the dove? Then the gadwall definitely shouts at the mannikin. Rule35: Here is an important piece of information about the duck: if it has a football that fits in a 59.5 x 67.6 x 62.4 inches box then it does not dance with the bee for sure. Rule36: If the leopard works in healthcare, then the leopard tears down the castle that belongs to the poodle. Rule37: This is a basic rule: if the mouse does not destroy the wall built by the mermaid, then the conclusion that the mermaid calls the llama follows immediately and effectively. Rule38: The coyote will want to see the seal if it (the coyote) does not have her keys. Rule39: From observing that one animal wants to see the seal, one can conclude that it also surrenders to the llama, undoubtedly. Rule40: The poodle unquestionably dances with the dove, in the case where the leopard tears down the castle of the poodle. Rule10 is preferred over Rule12. Rule11 is preferred over Rule18. Rule16 is preferred over Rule39. Rule19 is preferred over Rule9. Rule21 is preferred over Rule32. Rule24 is preferred over Rule26. Rule27 is preferred over Rule23. Rule27 is preferred over Rule25. Rule35 is preferred over Rule30. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the walrus hide the cards that she has from the woodpecker? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:021", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has a card that is yellow in color, is named Charlie, is currently in Toronto, and is nineteen months old. The badger is watching a movie from 2023. The basenji has 59 dollars. The dolphin refuses to help the dugong. The goat destroys the wall constructed by the liger. The husky has 47 dollars. The husky is a farm worker. The ostrich stole a bike from the store. The starling has one friend that is bald and 1 friend that is not, and is watching a movie from 2023. The walrus is named Beauty. And the rules of the game are as follows. Rule1: There exists an animal which smiles at the finch? Then, the crab definitely does not leave the houses that are occupied by the swallow. Rule2: Regarding the husky, if it works in agriculture, then we can conclude that it swims inside the pool located besides the house of the elk. Rule3: If the dachshund does not capture the king of the pigeon, then the pigeon does not refuse to help the otter. Rule4: If there is evidence that one animal, no matter which one, tears down the castle that belongs to the seahorse, then the crab pays money to the stork undoubtedly. Rule5: The badger will destroy the wall built by the gorilla if it (the badger) is watching a movie that was released after Maradona died. Rule6: From observing that one animal falls on a square of the vampire, one can conclude that it also unites with the seal, undoubtedly. Rule7: If something swims inside the pool located besides the house of the elk, then it takes over the emperor of the coyote, too. Rule8: If there is evidence that one animal, no matter which one, negotiates a deal with the frog, then the crow is not going to fall on a square of the vampire. Rule9: The crow calls the german shepherd whenever at least one animal destroys the wall constructed by the liger. Rule10: The akita will swear to the walrus if it (the akita) is less than fourteen months old. Rule11: From observing that one animal falls on a square of the coyote, one can conclude that it also calls the seal, undoubtedly. Rule12: For the seal, if the belief is that the crow unites with the seal and the gorilla calls the seal, then you can add \"the seal smiles at the finch\" to your conclusions. Rule13: Here is an important piece of information about the akita: if it has a name whose first letter is the same as the first letter of the walrus's name then it does not swear to the walrus for sure. Rule14: If you are positive that you saw one of the animals brings an oil tank for the chinchilla, you can be certain that it will also capture the king (i.e. the most important piece) of the bison. Rule15: If the starling is watching a movie that was released before Justin Trudeau became the prime minister of Canada, then the starling swears to the husky. Rule16: Here is an important piece of information about the husky: if it has more money than the basenji then it swims inside the pool located besides the house of the elk for sure. Rule17: Be careful when something captures the king of the bison but does not surrender to the bulldog because in this case it will, surely, fall on a square of the vampire (this may or may not be problematic). Rule18: If the ostrich calls the pigeon, then the pigeon refuses to help the otter. Rule19: If the finch invests in the company whose owner is the crow, then the crow surrenders to the bulldog. Rule20: If at least one animal wants to see the chihuahua, then the pigeon tears down the castle of the seahorse. Rule21: Regarding the starling, if it has fewer than eight friends, then we can conclude that it swears to the husky. Rule22: The living creature that calls the german shepherd will never surrender to the bulldog. Rule23: The otter unquestionably wants to see the chihuahua, in the case where the pigeon refuses to help the otter. Rule24: If there is evidence that one animal, no matter which one, swears to the walrus, then the gorilla is not going to shout at the owl. Rule25: From observing that an animal does not shout at the owl, one can conclude that it falls on a square of the coyote. Rule26: The akita will swear to the walrus if it (the akita) has a card whose color starts with the letter \"y\". Rule27: If the ostrich took a bike from the store, then the ostrich calls the pigeon. Rule28: The crow brings an oil tank for the chinchilla whenever at least one animal refuses to help the dugong. Rule10 is preferred over Rule13. Rule19 is preferred over Rule22. Rule26 is preferred over Rule13. Rule3 is preferred over Rule18. Rule8 is preferred over Rule17. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the crab leave the houses occupied by the swallow? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:022", "request": "A few players are playing a boardgame. The current state of the game is as follows. The camel destroys the wall constructed by the seahorse. The flamingo assassinated the mayor. The flamingo has a 14 x 10 inches notebook. The frog surrenders to the flamingo. The gadwall pays money to the goat. The owl surrenders to the swan. The songbird negotiates a deal with the dugong. The vampire acquires a photograph of the walrus. And the rules of the game are as follows. Rule1: If at least one animal acquires a photograph of the walrus, then the goose calls the flamingo. Rule2: If something swears to the leopard and does not unite with the vampire, then it suspects the truthfulness of the pigeon. Rule3: The swan does not refuse to help the flamingo, in the case where the owl surrenders to the swan. Rule4: If something hugs the butterfly, then it neglects the finch, too. Rule5: One of the rules of the game is that if the seal disarms the peafowl, then the peafowl will, without hesitation, manage to convince the otter. Rule6: From observing that an animal destroys the wall constructed by the duck, one can conclude the following: that animal does not trade one of its pieces with the fish. Rule7: The living creature that smiles at the dinosaur will never enjoy the company of the beaver. Rule8: If the goose calls the flamingo and the swan does not refuse to help the flamingo, then the flamingo will never unite with the vampire. Rule9: If at least one animal refuses to help the chihuahua, then the seal disarms the peafowl. Rule10: If at least one animal suspects the truthfulness of the pigeon, then the swallow neglects the stork. Rule11: One of the rules of the game is that if the frog surrenders to the flamingo, then the flamingo will, without hesitation, acquire a photograph of the snake. Rule12: If you are positive that you saw one of the animals neglects the stork, you can be certain that it will also smile at the dinosaur. Rule13: One of the rules of the game is that if the dugong calls the worm, then the worm will, without hesitation, bring an oil tank for the llama. Rule14: If the german shepherd unites with the dove, then the dove is not going to hide her cards from the swallow. Rule15: If the peafowl trades one of the pieces in its possession with the fish, then the fish refuses to help the chihuahua. Rule16: The camel unquestionably hugs the butterfly, in the case where the seahorse creates a castle for the camel. Rule17: If something acquires a photograph of the snake, then it swears to the leopard, too. Rule18: If there is evidence that one animal, no matter which one, brings an oil tank for the llama, then the mermaid acquires a photograph of the vampire undoubtedly. Rule19: The peafowl trades one of the pieces in its possession with the fish whenever at least one animal pays some $$$ to the goat. Rule20: The seahorse unquestionably creates one castle for the camel, in the case where the camel destroys the wall constructed by the seahorse. Rule21: If there is evidence that one animal, no matter which one, negotiates a deal with the dugong, then the bulldog takes over the emperor of the dugong undoubtedly. Rule22: If there is evidence that one animal, no matter which one, borrows a weapon from the bison, then the peafowl is not going to manage to convince the otter. Rule23: If the bulldog takes over the emperor of the dugong, then the dugong calls the worm. Rule24: Here is an important piece of information about the flamingo: if it voted for the mayor then it swims inside the pool located besides the house of the ant for sure. Rule25: Here is an important piece of information about the flamingo: if it has a notebook that fits in a 15.5 x 17.2 inches box then it swims in the pool next to the house of the ant for sure. Rule26: There exists an animal which neglects the finch? Then the german shepherd definitely unites with the dove. Rule22 is preferred over Rule5. Rule6 is preferred over Rule19. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the swallow enjoy the company of the beaver? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:023", "request": "A few players are playing a boardgame. The current state of the game is as follows. The basenji borrows one of the weapons of the walrus. The beetle surrenders to the crab. The butterfly has 54 dollars, and has a cutter. The crab has eight friends. The peafowl has a 19 x 17 inches notebook. The worm has 42 dollars. The bee does not take over the emperor of the german shepherd. And the rules of the game are as follows. Rule1: If the mannikin swims in the pool next to the house of the vampire, then the vampire is not going to bring an oil tank for the gorilla. Rule2: This is a basic rule: if the mule does not negotiate a deal with the fangtooth, then the conclusion that the fangtooth pays some $$$ to the bear follows immediately and effectively. Rule3: If at least one animal refuses to help the goat, then the songbird does not stop the victory of the dolphin. Rule4: If the crab has more than four friends, then the crab does not hide the cards that she has from the mule. Rule5: If the cougar does not hug the songbird and the fangtooth does not build a power plant close to the green fields of the songbird, then the songbird stops the victory of the dolphin. Rule6: Here is an important piece of information about the butterfly: if it has a leafy green vegetable then it trades one of the pieces in its possession with the swan for sure. Rule7: The cougar does not hug the songbird whenever at least one animal pays money to the bear. Rule8: If there is evidence that one animal, no matter which one, hugs the pigeon, then the fangtooth is not going to pay some $$$ to the bear. Rule9: The crab unquestionably hides the cards that she has from the mule, in the case where the beetle surrenders to the crab. Rule10: Regarding the butterfly, if it has more money than the worm, then we can conclude that it trades one of the pieces in its possession with the swan. Rule11: If there is evidence that one animal, no matter which one, trades one of the pieces in its possession with the swan, then the beaver tears down the castle of the goose undoubtedly. Rule12: This is a basic rule: if the crab does not hide her cards from the mule, then the conclusion that the mule invests in the company whose owner is the bulldog follows immediately and effectively. Rule13: This is a basic rule: if the beaver tears down the castle of the goose, then the conclusion that \"the goose hugs the pigeon\" follows immediately and effectively. Rule14: If there is evidence that one animal, no matter which one, leaves the houses occupied by the mannikin, then the vampire brings an oil tank for the gorilla undoubtedly. Rule15: One of the rules of the game is that if the bee does not take over the emperor of the german shepherd, then the german shepherd will, without hesitation, disarm the mule. Rule16: There exists an animal which brings an oil tank for the dachshund? Then, the mule definitely does not invest in the company owned by the bulldog. Rule17: If you are positive that you saw one of the animals invests in the company owned by the zebra, you can be certain that it will not build a power plant close to the green fields of the songbird. Rule18: The mule does not tear down the castle that belongs to the llama, in the case where the german shepherd disarms the mule. Rule19: From observing that an animal captures the king (i.e. the most important piece) of the poodle, one can conclude the following: that animal does not hug the pigeon. Rule20: If at least one animal borrows one of the weapons of the walrus, then the cougar does not build a power plant close to the green fields of the mule. Rule21: The living creature that does not negotiate a deal with the zebra will never invest in the company whose owner is the zebra. Rule22: The gorilla unquestionably tears down the castle that belongs to the seal, in the case where the vampire brings an oil tank for the gorilla. Rule23: There exists an animal which tears down the castle of the seal? Then the fangtooth definitely invests in the company whose owner is the zebra. Rule24: Be careful when something invests in the company owned by the bulldog but does not tear down the castle of the llama because in this case it will, surely, not negotiate a deal with the fangtooth (this may or may not be problematic). Rule25: The peafowl will leave the houses occupied by the mannikin if it (the peafowl) has a notebook that fits in a 20.3 x 21.8 inches box. Rule1 is preferred over Rule14. Rule16 is preferred over Rule12. Rule19 is preferred over Rule13. Rule2 is preferred over Rule8. Rule21 is preferred over Rule23. Rule3 is preferred over Rule5. Rule4 is preferred over Rule9. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the songbird stop the victory of the dolphin? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:027", "request": "A few players are playing a boardgame. The current state of the game is as follows. The duck has a card that is violet in color, and has a club chair. The fish is one month old, and supports Chris Ronaldo. The llama is watching a movie from 1944. The llama is 10 months old. The mermaid brings an oil tank for the seahorse. The peafowl has a card that is red in color, and has a football with a radius of 27 inches. The pelikan creates one castle for the swallow. And the rules of the game are as follows. Rule1: Here is an important piece of information about the llama: if it is less than 19 and a half months old then it hugs the beaver for sure. Rule2: The living creature that does not take over the emperor of the beetle will fall on a square that belongs to the dachshund with no doubts. Rule3: If there is evidence that one animal, no matter which one, trades one of its pieces with the dragonfly, then the coyote is not going to dance with the dachshund. Rule4: In order to conclude that the dachshund hugs the butterfly, two pieces of evidence are required: firstly the shark should stop the victory of the dachshund and secondly the coyote should not dance with the dachshund. Rule5: If at least one animal creates a castle for the swallow, then the ostrich creates one castle for the dolphin. Rule6: Regarding the fish, if it is a fan of Chris Ronaldo, then we can conclude that it builds a power plant near the green fields of the starling. Rule7: If the peafowl pays money to the german shepherd, then the german shepherd tears down the castle that belongs to the camel. Rule8: If the duck has something to sit on, then the duck does not capture the king (i.e. the most important piece) of the reindeer. Rule9: If at least one animal tears down the castle that belongs to the camel, then the leopard acquires a photo of the seal. Rule10: If the fish is more than 20 months old, then the fish builds a power plant near the green fields of the starling. Rule11: From observing that an animal brings an oil tank for the seahorse, one can conclude the following: that animal does not want to see the fangtooth. Rule12: One of the rules of the game is that if the llama hugs the beaver, then the beaver will, without hesitation, leave the houses occupied by the ant. Rule13: The duck will capture the king of the reindeer if it (the duck) has a card whose color is one of the rainbow colors. Rule14: The living creature that reveals a secret to the cougar will also trade one of its pieces with the dragonfly, without a doubt. Rule15: The coyote unquestionably dances with the dachshund, in the case where the goose hides the cards that she has from the coyote. Rule16: Be careful when something hugs the butterfly and also calls the worm because in this case it will surely want to see the goat (this may or may not be problematic). Rule17: If there is evidence that one animal, no matter which one, hides her cards from the otter, then the dachshund is not going to hug the butterfly. Rule18: If you are positive that you saw one of the animals creates a castle for the dolphin, you can be certain that it will also reveal a secret to the cougar. Rule19: Here is an important piece of information about the peafowl: if it has a football that fits in a 48.1 x 64.2 x 64.2 inches box then it pays some $$$ to the german shepherd for sure. Rule20: Regarding the ostrich, if it has a card whose color appears in the flag of Japan, then we can conclude that it does not create one castle for the dolphin. Rule21: If there is evidence that one animal, no matter which one, wants to see the gorilla, then the starling is not going to take over the emperor of the beetle. Rule22: If at least one animal acquires a photograph of the seal, then the shark stops the victory of the dachshund. Rule23: Regarding the peafowl, if it has a card with a primary color, then we can conclude that it pays money to the german shepherd. Rule24: This is a basic rule: if the starling falls on a square of the dachshund, then the conclusion that \"the dachshund calls the worm\" follows immediately and effectively. Rule25: From observing that an animal trades one of its pieces with the coyote, one can conclude the following: that animal does not acquire a photo of the seal. Rule26: If the llama is watching a movie that was released before world war 2 started, then the llama hugs the beaver. Rule27: The living creature that enjoys the company of the vampire will never fall on a square of the dachshund. Rule28: If at least one animal builds a power plant close to the green fields of the starling, then the mermaid wants to see the gorilla. Rule13 is preferred over Rule8. Rule15 is preferred over Rule3. Rule17 is preferred over Rule4. Rule20 is preferred over Rule5. Rule25 is preferred over Rule9. Rule27 is preferred over Rule2. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the dachshund want to see the goat? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:028", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bear swears to the crow. The bulldog is named Cinnamon. The chinchilla has 35 dollars. The flamingo has a 20 x 14 inches notebook. The flamingo is a software developer. The flamingo takes over the emperor of the basenji. The liger is named Casper. The poodle has 89 dollars, has a computer, and is currently in Ankara. The poodle is named Beauty. The seahorse has 70 dollars. The seahorse is a dentist. The snake has 85 dollars. The stork does not refuse to help the dalmatian. And the rules of the game are as follows. Rule1: The poodle will not negotiate a deal with the mermaid if it (the poodle) is in Germany at the moment. Rule2: The fish swears to the vampire whenever at least one animal tears down the castle that belongs to the songbird. Rule3: This is a basic rule: if the mule creates one castle for the coyote, then the conclusion that \"the coyote negotiates a deal with the camel\" follows immediately and effectively. Rule4: This is a basic rule: if the flamingo reveals a secret to the elk, then the conclusion that \"the elk swims in the pool next to the house of the coyote\" follows immediately and effectively. Rule5: Are you certain that one of the animals falls on a square of the german shepherd and also at the same time stops the victory of the liger? Then you can also be certain that the same animal tears down the castle that belongs to the songbird. Rule6: In order to conclude that the coyote does not unite with the mouse, two pieces of evidence are required: firstly that the monkey will not manage to persuade the coyote and secondly the mermaid refuses to help the coyote. Rule7: If you are positive that you saw one of the animals takes over the emperor of the basenji, you can be certain that it will also reveal a secret to the elk. Rule8: One of the rules of the game is that if the bulldog swims inside the pool located besides the house of the monkey, then the monkey will never manage to persuade the coyote. Rule9: From observing that an animal does not refuse to help the dalmatian, one can conclude that it swims in the pool next to the house of the seal. Rule10: If the flamingo has a notebook that fits in a 25.8 x 16.5 inches box, then the flamingo does not reveal a secret to the elk. Rule11: The bulldog will swim inside the pool located besides the house of the monkey if it (the bulldog) has a name whose first letter is the same as the first letter of the liger's name. Rule12: If you are positive that you saw one of the animals negotiates a deal with the camel, you can be certain that it will also fall on a square that belongs to the german shepherd. Rule13: If at least one animal swims inside the pool located besides the house of the seal, then the mule creates one castle for the coyote. Rule14: Here is an important piece of information about the poodle: if it has something to sit on then it negotiates a deal with the mermaid for sure. Rule15: This is a basic rule: if the poodle takes over the emperor of the coyote, then the conclusion that \"the coyote will not tear down the castle of the songbird\" follows immediately and effectively. Rule16: One of the rules of the game is that if the swan brings an oil tank for the stork, then the stork will never swim inside the pool located besides the house of the seal. Rule17: From observing that an animal tears down the castle of the bear, one can conclude the following: that animal does not swim inside the pool located besides the house of the coyote. Rule18: If there is evidence that one animal, no matter which one, negotiates a deal with the gadwall, then the coyote falls on a square of the duck undoubtedly. Rule19: One of the rules of the game is that if the snake reveals a secret to the fish, then the fish will never swear to the vampire. Rule20: This is a basic rule: if the poodle negotiates a deal with the mermaid, then the conclusion that \"the mermaid refuses to help the coyote\" follows immediately and effectively. Rule21: From observing that an animal does not unite with the mouse, one can conclude that it stops the victory of the liger. Rule22: The seahorse will negotiate a deal with the gadwall if it (the seahorse) works in marketing. Rule23: The poodle will negotiate a deal with the mermaid if it (the poodle) has more money than the snake. Rule24: There exists an animal which swears to the crow? Then the elk definitely tears down the castle of the bear. Rule25: Here is an important piece of information about the poodle: if it has a name whose first letter is the same as the first letter of the mouse's name then it does not negotiate a deal with the mermaid for sure. Rule26: The seahorse will negotiate a deal with the gadwall if it (the seahorse) has more money than the chinchilla. Rule27: If you are positive that you saw one of the animals creates one castle for the dachshund, you can be certain that it will also manage to persuade the coyote. Rule28: If the llama does not suspect the truthfulness of the seahorse, then the seahorse does not negotiate a deal with the gadwall. Rule1 is preferred over Rule14. Rule1 is preferred over Rule23. Rule15 is preferred over Rule5. Rule16 is preferred over Rule9. Rule19 is preferred over Rule2. Rule25 is preferred over Rule14. Rule25 is preferred over Rule23. Rule27 is preferred over Rule8. Rule28 is preferred over Rule22. Rule28 is preferred over Rule26. Rule4 is preferred over Rule17. Rule7 is preferred over Rule10. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the fish swear to the vampire? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:030", "request": "A few players are playing a boardgame. The current state of the game is as follows. The coyote is a public relations specialist. The dove takes over the emperor of the finch. The frog is currently in Colombia. The poodle has a basketball with a diameter of 18 inches, and is currently in Toronto. The cougar does not want to see the frog. And the rules of the game are as follows. Rule1: Regarding the frog, if it is in South America at the moment, then we can conclude that it hugs the monkey. Rule2: If the gadwall does not smile at the finch, then the finch does not pay money to the lizard. Rule3: The living creature that captures the king (i.e. the most important piece) of the cougar will also pay some $$$ to the gadwall, without a doubt. Rule4: Regarding the coyote, if it works in marketing, then we can conclude that it takes over the emperor of the frog. Rule5: There exists an animal which tears down the castle that belongs to the basenji? Then the ant definitely acquires a photograph of the pelikan. Rule6: This is a basic rule: if the cougar does not want to see the frog, then the conclusion that the frog will not hug the monkey follows immediately and effectively. Rule7: Are you certain that one of the animals pays some $$$ to the lizard and also at the same time swims inside the pool located besides the house of the llama? Then you can also be certain that the same animal does not tear down the castle that belongs to the basenji. Rule8: One of the rules of the game is that if the leopard does not disarm the pigeon, then the pigeon will, without hesitation, neglect the snake. Rule9: Here is an important piece of information about the poodle: if it works in marketing then it does not unite with the basenji for sure. Rule10: The finch pays some $$$ to the lizard whenever at least one animal pays some $$$ to the gadwall. Rule11: If something does not create a castle for the butterfly, then it does not acquire a photo of the pelikan. Rule12: If the dove takes over the emperor of the finch, then the finch smiles at the frog. Rule13: If something does not neglect the snake, then it swims inside the pool located besides the house of the camel. Rule14: If there is evidence that one animal, no matter which one, swims in the pool next to the house of the camel, then the finch tears down the castle that belongs to the basenji undoubtedly. Rule15: Regarding the poodle, if it is in South America at the moment, then we can conclude that it unites with the basenji. Rule16: The pigeon does not neglect the snake whenever at least one animal swears to the rhino. Rule17: This is a basic rule: if the poodle unites with the basenji, then the conclusion that \"the basenji swears to the rhino\" follows immediately and effectively. Rule18: From observing that one animal hugs the monkey, one can conclude that it also captures the king of the cougar, undoubtedly. Rule19: If the poodle has a basketball that fits in a 25.5 x 20.2 x 27.5 inches box, then the poodle unites with the basenji. Rule1 is preferred over Rule6. Rule11 is preferred over Rule5. Rule2 is preferred over Rule10. Rule7 is preferred over Rule14. Rule8 is preferred over Rule16. Rule9 is preferred over Rule15. Rule9 is preferred over Rule19. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the ant acquire a photograph of the pelikan? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:032", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog is named Lola. The gadwall swears to the german shepherd. The owl builds a power plant near the green fields of the pigeon. The walrus has 7 friends. The walrus is named Lucy. The walrus is a grain elevator operator. The wolf wants to see the poodle. And the rules of the game are as follows. Rule1: If the crab surrenders to the pelikan and the fangtooth creates a castle for the pelikan, then the pelikan will not swim in the pool next to the house of the badger. Rule2: If something stops the victory of the peafowl, then it negotiates a deal with the bee, too. Rule3: Be careful when something negotiates a deal with the mule and also shouts at the vampire because in this case it will surely swim inside the pool located besides the house of the badger (this may or may not be problematic). Rule4: This is a basic rule: if the gadwall swears to the german shepherd, then the conclusion that \"the german shepherd will not borrow a weapon from the dinosaur\" follows immediately and effectively. Rule5: The living creature that neglects the beetle will never refuse to help the mouse. Rule6: If there is evidence that one animal, no matter which one, builds a power plant close to the green fields of the pigeon, then the leopard hides the cards that she has from the bear undoubtedly. Rule7: If there is evidence that one animal, no matter which one, leaves the houses that are occupied by the bison, then the beaver negotiates a deal with the seahorse undoubtedly. Rule8: There exists an animal which reveals something that is supposed to be a secret to the dalmatian? Then the pelikan definitely shouts at the vampire. Rule9: This is a basic rule: if the fish does not leave the houses that are occupied by the stork, then the conclusion that the stork reveals a secret to the dalmatian follows immediately and effectively. Rule10: One of the rules of the game is that if the swallow does not manage to persuade the stork, then the stork will never reveal a secret to the dalmatian. Rule11: The fish does not leave the houses that are occupied by the stork, in the case where the walrus suspects the truthfulness of the fish. Rule12: If something swims in the pool next to the house of the rhino, then it does not negotiate a deal with the mule. Rule13: If the dugong does not acquire a photo of the pelikan, then the pelikan does not shout at the vampire. Rule14: If you are positive that you saw one of the animals enjoys the companionship of the basenji, you can be certain that it will not negotiate a deal with the bee. Rule15: Here is an important piece of information about the poodle: if it has a sharp object then it suspects the truthfulness of the dolphin for sure. Rule16: Regarding the walrus, if it has a name whose first letter is the same as the first letter of the bulldog's name, then we can conclude that it swims in the pool next to the house of the akita. Rule17: The crab surrenders to the pelikan whenever at least one animal negotiates a deal with the seahorse. Rule18: If something refuses to help the mouse, then it calls the dinosaur, too. Rule19: If at least one animal negotiates a deal with the husky, then the camel leaves the houses that are occupied by the bison. Rule20: The living creature that swims inside the pool located besides the house of the akita will also suspect the truthfulness of the fish, without a doubt. Rule21: If something does not borrow one of the weapons of the dinosaur, then it refuses to help the mouse. Rule22: One of the rules of the game is that if the reindeer smiles at the goat, then the goat will never stop the victory of the peafowl. Rule23: If the poodle does not suspect the truthfulness of the dolphin, then the dolphin negotiates a deal with the husky. Rule24: If the wolf wants to see the poodle, then the poodle is not going to suspect the truthfulness of the dolphin. Rule25: If at least one animal hides the cards that she has from the bear, then the goat stops the victory of the peafowl. Rule26: Here is an important piece of information about the walrus: if it works in agriculture then it does not swim inside the pool located besides the house of the akita for sure. Rule27: One of the rules of the game is that if the bee shouts at the pelikan, then the pelikan will, without hesitation, negotiate a deal with the mule. Rule28: If at least one animal calls the dinosaur, then the bee shouts at the pelikan. Rule1 is preferred over Rule3. Rule10 is preferred over Rule9. Rule12 is preferred over Rule27. Rule13 is preferred over Rule8. Rule14 is preferred over Rule2. Rule15 is preferred over Rule24. Rule16 is preferred over Rule26. Rule22 is preferred over Rule25. Rule5 is preferred over Rule21. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the pelikan swim in the pool next to the house of the badger? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:033", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bison has a backpack, and is watching a movie from 1904. The cobra reduced her work hours recently, and does not suspect the truthfulness of the beetle. The dove struggles to find food. The dragon brings an oil tank for the badger. The duck creates one castle for the mouse. The elk has 4 friends. The fangtooth enjoys the company of the flamingo. The finch does not disarm the elk. The woodpecker does not swim in the pool next to the house of the bison. And the rules of the game are as follows. Rule1: If the frog neglects the chihuahua and the poodle tears down the castle that belongs to the chihuahua, then the chihuahua neglects the peafowl. Rule2: The mouse unquestionably hides the cards that she has from the llama, in the case where the duck creates one castle for the mouse. Rule3: The living creature that does not suspect the truthfulness of the beetle will leave the houses occupied by the snake with no doubts. Rule4: This is a basic rule: if the badger suspects the truthfulness of the lizard, then the conclusion that \"the lizard pays money to the dalmatian\" follows immediately and effectively. Rule5: If the cobra leaves the houses occupied by the snake, then the snake trades one of the pieces in its possession with the german shepherd. Rule6: Here is an important piece of information about the elk: if it works fewer hours than before then it does not surrender to the dugong for sure. Rule7: If something acquires a photograph of the swallow, then it hides her cards from the poodle, too. Rule8: The bison will acquire a photograph of the swallow if it (the bison) has a leafy green vegetable. Rule9: This is a basic rule: if the elk enjoys the companionship of the frog, then the conclusion that \"the frog will not surrender to the cougar\" follows immediately and effectively. Rule10: This is a basic rule: if the lizard invests in the company whose owner is the mannikin, then the conclusion that \"the mannikin stops the victory of the chihuahua\" follows immediately and effectively. Rule11: From observing that an animal swears to the camel, one can conclude the following: that animal does not hide her cards from the llama. Rule12: If the dove falls on a square that belongs to the goose, then the goose hugs the poodle. Rule13: From observing that an animal reveals something that is supposed to be a secret to the pelikan, one can conclude the following: that animal does not stop the victory of the chihuahua. Rule14: The dove will fall on a square of the goose if it (the dove) has difficulty to find food. Rule15: The poodle unquestionably refuses to help the goat, in the case where the goose hugs the poodle. Rule16: If you are positive that one of the animals does not surrender to the cougar, you can be certain that it will neglect the chihuahua without a doubt. Rule17: If the cobra works more hours than before, then the cobra does not leave the houses that are occupied by the snake. Rule18: One of the rules of the game is that if the dragon brings an oil tank for the badger, then the badger will, without hesitation, suspect the truthfulness of the lizard. Rule19: This is a basic rule: if the snake trades one of the pieces in its possession with the german shepherd, then the conclusion that \"the german shepherd manages to convince the akita\" follows immediately and effectively. Rule20: If something manages to convince the akita, then it tears down the castle of the leopard, too. Rule21: Here is an important piece of information about the bison: if it is watching a movie that was released before world war 1 started then it acquires a photo of the swallow for sure. Rule22: The cobra will not leave the houses occupied by the snake if it (the cobra) has something to sit on. Rule23: The poodle captures the king of the zebra whenever at least one animal stops the victory of the bear. Rule24: If you are positive that one of the animals does not reveal something that is supposed to be a secret to the seal, you can be certain that it will not pay money to the dalmatian. Rule25: The living creature that does not surrender to the husky will never stop the victory of the bear. Rule26: Are you certain that one of the animals captures the king of the zebra and also at the same time refuses to help the goat? Then you can also be certain that the same animal tears down the castle that belongs to the chihuahua. Rule27: If the elk has more than fourteen friends, then the elk does not surrender to the dugong. Rule28: This is a basic rule: if the finch does not disarm the elk, then the conclusion that the elk surrenders to the dugong follows immediately and effectively. Rule29: If something neglects the peafowl, then it falls on a square of the rhino, too. Rule30: The living creature that surrenders to the dugong will also enjoy the company of the frog, without a doubt. Rule31: If something pays money to the dalmatian, then it invests in the company whose owner is the mannikin, too. Rule32: If there is evidence that one animal, no matter which one, hides her cards from the llama, then the reindeer stops the victory of the bear undoubtedly. Rule33: If there is evidence that one animal, no matter which one, enjoys the companionship of the flamingo, then the seahorse shouts at the swan undoubtedly. Rule34: The chihuahua swears to the finch whenever at least one animal tears down the castle of the leopard. Rule11 is preferred over Rule2. Rule13 is preferred over Rule10. Rule17 is preferred over Rule3. Rule22 is preferred over Rule3. Rule24 is preferred over Rule4. Rule25 is preferred over Rule32. Rule27 is preferred over Rule28. Rule6 is preferred over Rule28. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the chihuahua fall on a square of the rhino? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:035", "request": "A few players are playing a boardgame. The current state of the game is as follows. The cobra neglects the coyote. The poodle builds a power plant near the green fields of the bear. The rhino swears to the poodle. The songbird reveals a secret to the swallow. The dragon does not swim in the pool next to the house of the poodle. And the rules of the game are as follows. Rule1: The living creature that calls the flamingo will never suspect the truthfulness of the owl. Rule2: If something disarms the chihuahua, then it swears to the gorilla, too. Rule3: If the cobra neglects the coyote, then the coyote tears down the castle of the dinosaur. Rule4: If something tears down the castle that belongs to the dinosaur, then it swears to the mouse, too. Rule5: From observing that one animal builds a power plant close to the green fields of the bear, one can conclude that it also disarms the ostrich, undoubtedly. Rule6: From observing that an animal trades one of its pieces with the dalmatian, one can conclude the following: that animal does not swear to the mouse. Rule7: If the lizard captures the king of the beaver, then the beaver disarms the chihuahua. Rule8: The beaver does not swear to the gorilla whenever at least one animal refuses to help the gadwall. Rule9: Be careful when something negotiates a deal with the german shepherd and also falls on a square that belongs to the mule because in this case it will surely not refuse to help the lizard (this may or may not be problematic). Rule10: If the mouse does not refuse to help the lizard, then the lizard captures the king (i.e. the most important piece) of the beaver. Rule11: This is a basic rule: if the cougar builds a power plant close to the green fields of the mouse, then the conclusion that \"the mouse will not negotiate a deal with the german shepherd\" follows immediately and effectively. Rule12: If at least one animal reveals a secret to the swallow, then the mouse suspects the truthfulness of the owl. Rule13: There exists an animal which creates one castle for the husky? Then, the mouse definitely does not fall on a square of the mule. Rule14: From observing that one animal suspects the truthfulness of the owl, one can conclude that it also falls on a square that belongs to the mule, undoubtedly. Rule15: If there is evidence that one animal, no matter which one, disarms the ostrich, then the mouse negotiates a deal with the german shepherd undoubtedly. Rule1 is preferred over Rule12. Rule11 is preferred over Rule15. Rule13 is preferred over Rule14. Rule6 is preferred over Rule4. Rule8 is preferred over Rule2. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the beaver swear to the gorilla? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:036", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dachshund has 14 dollars. The dugong has 10 friends, and is currently in Brazil. The gadwall has a cutter, and is a physiotherapist. The gorilla is named Pashmak. The mule has 76 dollars. The snake has a basketball with a diameter of 19 inches. The songbird has 50 dollars. And the rules of the game are as follows. Rule1: If something refuses to help the dalmatian, then it hugs the cougar, too. Rule2: If at least one animal invests in the company whose owner is the bison, then the bee does not invest in the company whose owner is the butterfly. Rule3: For the bee, if you have two pieces of evidence 1) that the walrus does not call the bee and 2) that the liger does not pay some $$$ to the bee, then you can add bee invests in the company whose owner is the butterfly to your conclusions. Rule4: The crab unquestionably pays some $$$ to the llama, in the case where the snake takes over the emperor of the crab. Rule5: If the seahorse destroys the wall built by the liger, then the liger is not going to pay money to the bee. Rule6: If the dugong has a name whose first letter is the same as the first letter of the gorilla's name, then the dugong does not refuse to help the dalmatian. Rule7: The snake does not invest in the company owned by the leopard, in the case where the stork calls the snake. Rule8: If you are positive that you saw one of the animals hugs the cougar, you can be certain that it will also call the ant. Rule9: If something does not reveal something that is supposed to be a secret to the vampire, then it invests in the company whose owner is the leopard. Rule10: There exists an animal which tears down the castle of the bison? Then the seahorse definitely dances with the dragon. Rule11: The seahorse does not stop the victory of the dinosaur, in the case where the mule invests in the company owned by the seahorse. Rule12: If at least one animal calls the ant, then the seahorse destroys the wall built by the liger. Rule13: One of the rules of the game is that if the camel captures the king of the liger, then the liger will, without hesitation, pay some $$$ to the bee. Rule14: There exists an animal which pays some $$$ to the llama? Then, the walrus definitely does not call the bee. Rule15: Regarding the gadwall, if it works in agriculture, then we can conclude that it tears down the castle that belongs to the bison. Rule16: If the dugong is in France at the moment, then the dugong refuses to help the dalmatian. Rule17: If the mule has more money than the dachshund and the songbird combined, then the mule invests in the company owned by the seahorse. Rule18: If the dugong has more than 7 friends, then the dugong refuses to help the dalmatian. Rule19: The living creature that invests in the company owned by the leopard will also take over the emperor of the crab, without a doubt. Rule20: Regarding the snake, if it has a basketball that fits in a 26.3 x 28.8 x 21.1 inches box, then we can conclude that it does not reveal something that is supposed to be a secret to the vampire. Rule21: If the gadwall has a sharp object, then the gadwall tears down the castle that belongs to the bison. Rule22: Are you certain that one of the animals dances with the dragon but does not stop the victory of the dinosaur? Then you can also be certain that the same animal is not going to dance with the liger. Rule23: The mule will not invest in the company owned by the seahorse if it (the mule) is more than 22 weeks old. Rule13 is preferred over Rule5. Rule2 is preferred over Rule3. Rule23 is preferred over Rule17. Rule6 is preferred over Rule16. Rule6 is preferred over Rule18. Rule7 is preferred over Rule9. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the bee invest in the company whose owner is the butterfly? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:038", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beetle has 7 friends, and is named Bella. The beetle has a violin. The chinchilla has 63 dollars. The crab swims in the pool next to the house of the husky. The dragon borrows one of the weapons of the seal. The dragonfly is named Cinnamon. The dugong is named Buddy. The finch is named Luna, and is watching a movie from 1967. The fish trades one of its pieces with the pelikan. The liger leaves the houses occupied by the seahorse. The shark has 61 dollars. The stork has 65 dollars. The swallow has 71 dollars, is watching a movie from 2006, and is currently in Rome. The swan is named Chickpea, and is 3 years old. The wolf is named Tessa. The worm is named Tarzan. The worm is watching a movie from 1981. The basenji does not hug the butterfly. And the rules of the game are as follows. Rule1: If there is evidence that one animal, no matter which one, brings an oil tank for the walrus, then the flamingo takes over the emperor of the cougar undoubtedly. Rule2: If something shouts at the mermaid, then it acquires a photo of the leopard, too. Rule3: The living creature that wants to see the pigeon will also take over the emperor of the songbird, without a doubt. Rule4: The living creature that takes over the emperor of the cougar will never bring an oil tank for the badger. Rule5: There exists an animal which acquires a photograph of the leopard? Then the mannikin definitely reveals a secret to the camel. Rule6: If the mannikin manages to persuade the gorilla, then the gorilla is not going to unite with the owl. Rule7: From observing that one animal borrows one of the weapons of the crow, one can conclude that it also reveals something that is supposed to be a secret to the bee, undoubtedly. Rule8: If at least one animal negotiates a deal with the mule, then the vampire does not suspect the truthfulness of the owl. Rule9: If you are positive that one of the animals does not hug the butterfly, you can be certain that it will not call the vampire. Rule10: Here is an important piece of information about the beetle: if it has a card with a primary color then it does not shout at the mermaid for sure. Rule11: There exists an animal which unites with the dalmatian? Then the bison definitely negotiates a deal with the mule. Rule12: Regarding the beetle, if it has more than fifteen friends, then we can conclude that it borrows one of the weapons of the snake. Rule13: If you are positive that you saw one of the animals hugs the cobra, you can be certain that it will not take over the emperor of the llama. Rule14: The mannikin brings an oil tank for the dachshund whenever at least one animal reveals a secret to the bee. Rule15: If you are positive that you saw one of the animals trades one of its pieces with the pelikan, you can be certain that it will also bring an oil tank for the walrus. Rule16: From observing that one animal disarms the elk, one can conclude that it also unites with the owl, undoubtedly. Rule17: The zebra does not capture the king (i.e. the most important piece) of the mule whenever at least one animal stops the victory of the chihuahua. Rule18: One of the rules of the game is that if the ostrich trades one of its pieces with the zebra, then the zebra will, without hesitation, unite with the dalmatian. Rule19: If the swan has a name whose first letter is the same as the first letter of the dragonfly's name, then the swan stops the victory of the chihuahua. Rule20: The beetle will borrow a weapon from the snake if it (the beetle) has a musical instrument. Rule21: If the finch is watching a movie that was released before Lionel Messi was born, then the finch borrows a weapon from the crow. Rule22: Be careful when something reveals something that is supposed to be a secret to the camel and also brings an oil tank for the dachshund because in this case it will surely manage to persuade the gorilla (this may or may not be problematic). Rule23: The stork swears to the ostrich whenever at least one animal borrows a weapon from the seal. Rule24: Regarding the swan, if it is less than 18 and a half months old, then we can conclude that it stops the victory of the chihuahua. Rule25: The living creature that shouts at the dove will never want to see the pigeon. Rule26: The living creature that borrows a weapon from the snake will never acquire a photo of the leopard. Rule27: For the owl, if you have two pieces of evidence 1) the gorilla does not unite with the owl and 2) the badger tears down the castle that belongs to the owl, then you can add \"owl refuses to help the german shepherd\" to your conclusions. Rule28: Here is an important piece of information about the worm: if it has a name whose first letter is the same as the first letter of the wolf's name then it takes over the emperor of the llama for sure. Rule29: If there is evidence that one animal, no matter which one, hugs the duck, then the reindeer invests in the company whose owner is the seahorse undoubtedly. Rule30: The worm will take over the emperor of the llama if it (the worm) is watching a movie that was released before Richard Nixon resigned. Rule31: If the basenji invests in the company owned by the vampire, then the vampire wants to see the pigeon. Rule32: There exists an animal which leaves the houses occupied by the seahorse? Then, the fish definitely does not bring an oil tank for the walrus. Rule33: If there is evidence that one animal, no matter which one, swims inside the pool located besides the house of the husky, then the beetle shouts at the mermaid undoubtedly. Rule34: Regarding the swallow, if it is watching a movie that was released after Google was founded, then we can conclude that it hugs the duck. Rule35: The living creature that does not stop the victory of the woodpecker will tear down the castle of the owl with no doubts. Rule36: The finch will not borrow a weapon from the crow if it (the finch) has a name whose first letter is the same as the first letter of the beaver's name. Rule37: This is a basic rule: if the flamingo does not bring an oil tank for the badger, then the conclusion that the badger will not stop the victory of the woodpecker follows immediately and effectively. Rule38: The living creature that does not call the vampire will invest in the company whose owner is the vampire with no doubts. Rule39: The ostrich unquestionably trades one of its pieces with the zebra, in the case where the stork swears to the ostrich. Rule10 is preferred over Rule33. Rule13 is preferred over Rule28. Rule13 is preferred over Rule30. Rule15 is preferred over Rule32. Rule16 is preferred over Rule6. Rule2 is preferred over Rule26. Rule25 is preferred over Rule31. Rule36 is preferred over Rule21. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the owl refuse to help the german shepherd? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:040", "request": "A few players are playing a boardgame. The current state of the game is as follows. The camel has 28 dollars. The dolphin has 1 friend, and has a hot chocolate. The dolphin has a card that is black in color, and is watching a movie from 1975. The mannikin has 61 dollars. And the rules of the game are as follows. Rule1: If you are positive that you saw one of the animals enjoys the companionship of the dragonfly, you can be certain that it will also swim in the pool next to the house of the worm. Rule2: Here is an important piece of information about the dolphin: if it is watching a movie that was released before Zinedine Zidane was born then it does not destroy the wall constructed by the duck for sure. Rule3: If the mannikin suspects the truthfulness of the chihuahua, then the chihuahua swears to the butterfly. Rule4: One of the rules of the game is that if the swallow borrows one of the weapons of the llama, then the llama will never trade one of its pieces with the ant. Rule5: If there is evidence that one animal, no matter which one, acquires a photo of the dugong, then the duck is not going to unite with the llama. Rule6: If at least one animal swears to the butterfly, then the bee invests in the company whose owner is the pelikan. Rule7: Be careful when something swims in the pool next to the house of the worm but does not surrender to the akita because in this case it will, surely, unite with the llama (this may or may not be problematic). Rule8: If there is evidence that one animal, no matter which one, invests in the company owned by the pelikan, then the vampire acquires a photograph of the dugong undoubtedly. Rule9: The dolphin will not destroy the wall built by the duck if it (the dolphin) has something to drink. Rule10: If you are positive that one of the animals does not fall on a square of the starling, you can be certain that it will enjoy the company of the dragonfly without a doubt. Rule11: One of the rules of the game is that if the duck does not unite with the llama, then the llama will, without hesitation, trade one of its pieces with the ant. Rule12: Here is an important piece of information about the dolphin: if it has a card whose color is one of the rainbow colors then it destroys the wall constructed by the duck for sure. Rule13: This is a basic rule: if the dolphin does not destroy the wall constructed by the duck, then the conclusion that the duck will not fall on a square of the starling follows immediately and effectively. Rule14: Regarding the mannikin, if it has more money than the camel, then we can conclude that it suspects the truthfulness of the chihuahua. Rule15: Regarding the mannikin, if it has a card whose color starts with the letter \"y\", then we can conclude that it does not suspect the truthfulness of the chihuahua. Rule15 is preferred over Rule14. Rule2 is preferred over Rule12. Rule4 is preferred over Rule11. Rule7 is preferred over Rule5. Rule9 is preferred over Rule12. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the llama trade one of its pieces with the ant? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:044", "request": "A few players are playing a boardgame. The current state of the game is as follows. The cobra has 59 dollars. The elk pays money to the liger. The flamingo trades one of its pieces with the akita. The frog has 77 dollars. The frog is named Blossom. The gorilla swears to the ant. The husky is named Beauty. The walrus destroys the wall constructed by the bulldog. The woodpecker has 45 dollars. And the rules of the game are as follows. Rule1: From observing that an animal dances with the camel, one can conclude the following: that animal does not pay some $$$ to the german shepherd. Rule2: One of the rules of the game is that if the leopard swims inside the pool located besides the house of the poodle, then the poodle will, without hesitation, want to see the crow. Rule3: If something refuses to help the chinchilla, then it does not stop the victory of the leopard. Rule4: One of the rules of the game is that if the elk swims in the pool next to the house of the bulldog, then the bulldog will never swear to the chihuahua. Rule5: The beetle unquestionably creates a castle for the dragon, in the case where the bear suspects the truthfulness of the beetle. Rule6: Be careful when something reveals a secret to the dragon and also surrenders to the shark because in this case it will surely not call the pelikan (this may or may not be problematic). Rule7: If at least one animal wants to see the crow, then the chihuahua calls the pelikan. Rule8: One of the rules of the game is that if the pigeon does not want to see the dachshund, then the dachshund will, without hesitation, swear to the dove. Rule9: Regarding the frog, if it has a name whose first letter is the same as the first letter of the husky's name, then we can conclude that it refuses to help the coyote. Rule10: If there is evidence that one animal, no matter which one, refuses to help the coyote, then the owl acquires a photograph of the german shepherd undoubtedly. Rule11: If there is evidence that one animal, no matter which one, destroys the wall constructed by the bulldog, then the bear suspects the truthfulness of the beetle undoubtedly. Rule12: There exists an animal which trades one of its pieces with the akita? Then the beaver definitely borrows a weapon from the owl. Rule13: This is a basic rule: if the songbird builds a power plant close to the green fields of the dachshund, then the conclusion that \"the dachshund will not swear to the dove\" follows immediately and effectively. Rule14: If at least one animal swears to the ant, then the flamingo dances with the camel. Rule15: There exists an animal which swears to the dove? Then the elk definitely swims in the pool next to the house of the bulldog. Rule16: This is a basic rule: if the german shepherd stops the victory of the leopard, then the conclusion that \"the leopard swims in the pool next to the house of the poodle\" follows immediately and effectively. Rule17: There exists an animal which creates one castle for the dragon? Then, the peafowl definitely does not smile at the bulldog. Rule18: The chihuahua unquestionably surrenders to the shark, in the case where the bulldog swears to the chihuahua. Rule19: One of the rules of the game is that if the peafowl does not smile at the bulldog, then the bulldog will, without hesitation, swear to the chihuahua. Rule20: For the german shepherd, if you have two pieces of evidence 1) the owl acquires a photo of the german shepherd and 2) the flamingo does not pay some $$$ to the german shepherd, then you can add german shepherd stops the victory of the leopard to your conclusions. Rule21: If at least one animal pays some $$$ to the liger, then the pigeon does not want to see the dachshund. Rule22: If the frog has more money than the cobra and the woodpecker combined, then the frog refuses to help the coyote. Rule13 is preferred over Rule8. Rule19 is preferred over Rule4. Rule3 is preferred over Rule20. Rule6 is preferred over Rule7. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the chihuahua call the pelikan? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:045", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog is named Bella. The camel has a card that is green in color. The dachshund has one friend, and is named Beauty. The fish creates one castle for the dolphin, and will turn four years old in a few minutes. The flamingo has a 17 x 17 inches notebook, and reduced her work hours recently. The lizard is named Cinnamon, and is a software developer. The lizard is watching a movie from 1968. The pelikan is named Pablo. The reindeer supports Chris Ronaldo. The seal has a card that is yellow in color, and is 5 years old. And the rules of the game are as follows. Rule1: The reindeer will stop the victory of the poodle if it (the reindeer) is a fan of Chris Ronaldo. Rule2: If the dachshund has more than two friends, then the dachshund takes over the emperor of the liger. Rule3: The basenji unquestionably acquires a photo of the ant, in the case where the gadwall refuses to help the basenji. Rule4: If there is evidence that one animal, no matter which one, stops the victory of the poodle, then the ant reveals something that is supposed to be a secret to the worm undoubtedly. Rule5: If at least one animal shouts at the monkey, then the gadwall refuses to help the basenji. Rule6: From observing that an animal does not surrender to the swan, one can conclude the following: that animal will not refuse to help the basenji. Rule7: Here is an important piece of information about the dachshund: if it has a name whose first letter is the same as the first letter of the bulldog's name then it takes over the emperor of the liger for sure. Rule8: For the goat, if the belief is that the frog borrows one of the weapons of the goat and the swallow destroys the wall constructed by the goat, then you can add \"the goat neglects the bee\" to your conclusions. Rule9: If the fish is in Germany at the moment, then the fish pays money to the pigeon. Rule10: The pigeon unquestionably calls the cougar, in the case where the fish does not pay money to the pigeon. Rule11: Here is an important piece of information about the flamingo: if it has a notebook that fits in a 18.6 x 19.1 inches box then it shouts at the dove for sure. Rule12: There exists an animal which reveals something that is supposed to be a secret to the worm? Then, the basenji definitely does not acquire a photo of the ant. Rule13: If you are positive that you saw one of the animals shouts at the dove, you can be certain that it will not hide her cards from the swallow. Rule14: The seal will not shout at the monkey if it (the seal) is less than nineteen and a half months old. Rule15: If the camel does not take over the emperor of the ostrich, then the ostrich surrenders to the peafowl. Rule16: The swallow destroys the wall built by the goat whenever at least one animal builds a power plant near the green fields of the dragonfly. Rule17: Regarding the lizard, if it has a name whose first letter is the same as the first letter of the pelikan's name, then we can conclude that it captures the king (i.e. the most important piece) of the basenji. Rule18: This is a basic rule: if the ostrich surrenders to the peafowl, then the conclusion that \"the peafowl tears down the castle that belongs to the walrus\" follows immediately and effectively. Rule19: The seal will not shout at the monkey if it (the seal) has more than 2 friends. Rule20: If the dachshund takes over the emperor of the liger, then the liger falls on a square of the woodpecker. Rule21: There exists an animal which tears down the castle that belongs to the walrus? Then the cougar definitely builds a power plant close to the green fields of the dragonfly. Rule22: Are you certain that one of the animals acquires a photo of the ant but does not suspect the truthfulness of the chihuahua? Then you can also be certain that the same animal disarms the mannikin. Rule23: If the seal has a card whose color starts with the letter \"y\", then the seal shouts at the monkey. Rule24: Regarding the lizard, if it works in computer science and engineering, then we can conclude that it captures the king of the basenji. Rule25: From observing that an animal creates one castle for the dolphin, one can conclude the following: that animal does not pay some $$$ to the pigeon. Rule26: Here is an important piece of information about the fish: if it is less than two years old then it pays money to the pigeon for sure. Rule27: From observing that an animal negotiates a deal with the dragon, one can conclude the following: that animal does not swear to the goose. Rule28: If something enjoys the company of the german shepherd, then it does not reveal something that is supposed to be a secret to the worm. Rule29: One of the rules of the game is that if the monkey refuses to help the goat, then the goat will never neglect the bee. Rule30: If at least one animal captures the king of the snake, then the reindeer does not stop the victory of the poodle. Rule31: If you are positive that you saw one of the animals hides her cards from the llama, you can be certain that it will not build a power plant near the green fields of the dragonfly. Rule32: The swallow leaves the houses occupied by the leopard whenever at least one animal falls on a square that belongs to the woodpecker. Rule33: This is a basic rule: if the pigeon calls the cougar, then the conclusion that \"the cougar hides the cards that she has from the llama\" follows immediately and effectively. Rule34: Here is an important piece of information about the camel: if it has a card whose color appears in the flag of Italy then it does not take over the emperor of the ostrich for sure. Rule35: The living creature that swears to the goose will never suspect the truthfulness of the chihuahua. Rule36: If at least one animal dances with the mermaid, then the ostrich does not surrender to the peafowl. Rule37: If at least one animal disarms the mannikin, then the frog borrows a weapon from the goat. Rule38: If you are positive that you saw one of the animals leaves the houses occupied by the leopard, you can be certain that it will not stop the victory of the butterfly. Rule39: One of the rules of the game is that if the lizard captures the king of the basenji, then the basenji will, without hesitation, swear to the goose. Rule14 is preferred over Rule23. Rule19 is preferred over Rule23. Rule21 is preferred over Rule31. Rule26 is preferred over Rule25. Rule27 is preferred over Rule39. Rule28 is preferred over Rule4. Rule29 is preferred over Rule8. Rule3 is preferred over Rule12. Rule30 is preferred over Rule1. Rule36 is preferred over Rule15. Rule6 is preferred over Rule5. Rule9 is preferred over Rule25. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the goat neglect the bee? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:048", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bee has 4 dollars. The bison disarms the swan. The chinchilla suspects the truthfulness of the dragon. The dove has 82 dollars, and stops the victory of the monkey. The finch refuses to help the seahorse. The pelikan has 2 friends. The pelikan tears down the castle that belongs to the ant. The reindeer is a programmer. The walrus is a teacher assistant, and is currently in Nigeria. The goose does not reveal a secret to the seahorse. And the rules of the game are as follows. Rule1: If you see that something does not fall on a square of the otter but it calls the snake, what can you certainly conclude? You can conclude that it also invests in the company whose owner is the seal. Rule2: If the dugong suspects the truthfulness of the owl, then the owl unites with the mouse. Rule3: If there is evidence that one animal, no matter which one, hugs the crab, then the bulldog captures the king of the fangtooth undoubtedly. Rule4: This is a basic rule: if the reindeer leaves the houses that are occupied by the bulldog, then the conclusion that \"the bulldog will not capture the king (i.e. the most important piece) of the fangtooth\" follows immediately and effectively. Rule5: This is a basic rule: if the bear does not neglect the duck, then the conclusion that the duck calls the snake follows immediately and effectively. Rule6: If you are positive that you saw one of the animals shouts at the worm, you can be certain that it will not suspect the truthfulness of the dugong. Rule7: Here is an important piece of information about the walrus: if it is in South America at the moment then it negotiates a deal with the elk for sure. Rule8: The pigeon will not hug the crab, in the case where the shark does not enjoy the companionship of the pigeon. Rule9: The living creature that leaves the houses that are occupied by the monkey will never refuse to help the chihuahua. Rule10: The living creature that does not bring an oil tank for the basenji will never dance with the walrus. Rule11: The duck does not fall on a square of the otter whenever at least one animal unites with the mouse. Rule12: If the snake suspects the truthfulness of the dinosaur, then the dinosaur acquires a photo of the wolf. Rule13: Regarding the dove, if it has more money than the bee and the beaver combined, then we can conclude that it refuses to help the chihuahua. Rule14: One of the rules of the game is that if the reindeer trades one of its pieces with the pigeon, then the pigeon will, without hesitation, hug the crab. Rule15: If something tears down the castle of the ant, then it shouts at the worm, too. Rule16: If something acquires a photo of the wolf, then it stops the victory of the bear, too. Rule17: If something neglects the husky, then it suspects the truthfulness of the dugong, too. Rule18: If the pelikan is watching a movie that was released after the French revolution began, then the pelikan does not shout at the worm. Rule19: If something smiles at the flamingo, then it does not bring an oil tank for the coyote. Rule20: There exists an animal which brings an oil tank for the coyote? Then the ostrich definitely dances with the walrus. Rule21: The walrus will negotiate a deal with the elk if it (the walrus) works in education. Rule22: If you are positive that you saw one of the animals takes over the emperor of the dachshund, you can be certain that it will also want to see the dinosaur. Rule23: For the dugong, if you have two pieces of evidence 1) the pelikan does not suspect the truthfulness of the dugong and 2) the chihuahua swims in the pool next to the house of the dugong, then you can add \"dugong suspects the truthfulness of the owl\" to your conclusions. Rule24: One of the rules of the game is that if the dove does not refuse to help the chihuahua, then the chihuahua will, without hesitation, swim in the pool next to the house of the dugong. Rule25: One of the rules of the game is that if the goose does not reveal a secret to the seahorse, then the seahorse will, without hesitation, want to see the llama. Rule26: If at least one animal captures the king of the basenji, then the elk reveals something that is supposed to be a secret to the leopard. Rule27: If the finch refuses to help the seahorse, then the seahorse takes over the emperor of the dachshund. Rule28: The living creature that disarms the swan will also capture the king (i.e. the most important piece) of the basenji, without a doubt. Rule29: The bear does not neglect the duck, in the case where the dinosaur stops the victory of the bear. Rule30: If there is evidence that one animal, no matter which one, captures the king of the fangtooth, then the owl is not going to unite with the mouse. Rule31: Here is an important piece of information about the reindeer: if it works in computer science and engineering then it trades one of its pieces with the pigeon for sure. Rule32: There exists an animal which reveals something that is supposed to be a secret to the leopard? Then the swallow definitely brings an oil tank for the coyote. Rule33: If there is evidence that one animal, no matter which one, suspects the truthfulness of the dragon, then the snake suspects the truthfulness of the dinosaur undoubtedly. Rule34: Here is an important piece of information about the pelikan: if it has more than 12 friends then it does not shout at the worm for sure. Rule10 is preferred over Rule20. Rule13 is preferred over Rule9. Rule17 is preferred over Rule6. Rule18 is preferred over Rule15. Rule19 is preferred over Rule32. Rule2 is preferred over Rule30. Rule34 is preferred over Rule15. Rule4 is preferred over Rule3. Rule8 is preferred over Rule14. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the duck invest in the company whose owner is the seal? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:051", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bison recently read a high-quality paper. The dalmatian brings an oil tank for the crow. The elk invented a time machine. The ostrich hugs the bison. The worm neglects the butterfly. The walrus does not take over the emperor of the stork. And the rules of the game are as follows. Rule1: This is a basic rule: if the ostrich hugs the bison, then the conclusion that \"the bison surrenders to the ant\" follows immediately and effectively. Rule2: The bee unquestionably swims inside the pool located besides the house of the cobra, in the case where the shark creates a castle for the bee. Rule3: If you are positive that you saw one of the animals refuses to help the camel, you can be certain that it will also call the liger. Rule4: If something swims inside the pool located besides the house of the cobra, then it refuses to help the camel, too. Rule5: This is a basic rule: if the bison dances with the pelikan, then the conclusion that \"the pelikan disarms the monkey\" follows immediately and effectively. Rule6: Here is an important piece of information about the elk: if it works fewer hours than before then it borrows a weapon from the mule for sure. Rule7: If something neglects the mermaid, then it swears to the gadwall, too. Rule8: Here is an important piece of information about the bison: if it has published a high-quality paper then it does not surrender to the ant for sure. Rule9: If you see that something does not invest in the company whose owner is the german shepherd but it disarms the seal, what can you certainly conclude? You can conclude that it also surrenders to the starling. Rule10: If you are positive that you saw one of the animals surrenders to the ant, you can be certain that it will also trade one of the pieces in its possession with the pigeon. Rule11: The liger does not invest in the company whose owner is the german shepherd, in the case where the wolf suspects the truthfulness of the liger. Rule12: If you are positive that one of the animals does not hug the frog, you can be certain that it will not enjoy the company of the liger. Rule13: The living creature that does not bring an oil tank for the stork will swim inside the pool located besides the house of the peafowl with no doubts. Rule14: If something surrenders to the starling, then it neglects the mermaid, too. Rule15: One of the rules of the game is that if the snake destroys the wall constructed by the liger, then the liger will, without hesitation, disarm the seal. Rule16: The worm does not create a castle for the snake whenever at least one animal surrenders to the zebra. Rule17: If something does not smile at the llama, then it calls the swallow. Rule18: There exists an animal which enjoys the companionship of the reindeer? Then, the liger definitely does not call the swallow. Rule19: If something does not capture the king (i.e. the most important piece) of the bear, then it creates one castle for the bee. Rule20: If the cougar does not trade one of the pieces in its possession with the liger, then the liger does not disarm the seal. Rule21: There exists an animal which swims inside the pool located besides the house of the peafowl? Then the otter definitely enjoys the company of the reindeer. Rule22: There exists an animal which trades one of the pieces in its possession with the seal? Then the liger definitely invests in the company owned by the german shepherd. Rule23: If something neglects the butterfly, then it creates one castle for the snake, too. Rule24: From observing that an animal wants to see the beaver, one can conclude the following: that animal does not destroy the wall constructed by the liger. Rule25: If the bison is less than 25 months old, then the bison does not surrender to the ant. Rule26: The living creature that does not borrow one of the weapons of the goose will never create one castle for the bee. Rule27: There exists an animal which brings an oil tank for the crow? Then, the shark definitely does not capture the king (i.e. the most important piece) of the bear. Rule28: If there is evidence that one animal, no matter which one, borrows a weapon from the mule, then the wolf suspects the truthfulness of the liger undoubtedly. Rule29: There exists an animal which disarms the monkey? Then the seahorse definitely enjoys the company of the liger. Rule30: The living creature that trades one of its pieces with the pigeon will also dance with the pelikan, without a doubt. Rule31: The snake unquestionably destroys the wall constructed by the liger, in the case where the worm creates one castle for the snake. Rule12 is preferred over Rule29. Rule16 is preferred over Rule23. Rule17 is preferred over Rule18. Rule20 is preferred over Rule15. Rule22 is preferred over Rule11. Rule24 is preferred over Rule31. Rule25 is preferred over Rule1. Rule26 is preferred over Rule19. Rule8 is preferred over Rule1. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the liger swear to the gadwall? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:052", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bison has 72 dollars. The bison has a basketball with a diameter of 16 inches. The gadwall has 47 dollars. The owl is watching a movie from 1930. The poodle has a cell phone. The fangtooth does not dance with the walrus. And the rules of the game are as follows. Rule1: The bison will not enjoy the companionship of the german shepherd if it (the bison) is in Canada at the moment. Rule2: If you are positive that one of the animals does not negotiate a deal with the walrus, you can be certain that it will pay money to the mannikin without a doubt. Rule3: If something does not capture the king (i.e. the most important piece) of the bulldog, then it unites with the goose. Rule4: If at least one animal enjoys the company of the german shepherd, then the cobra hides the cards that she has from the lizard. Rule5: There exists an animal which creates one castle for the reindeer? Then the mermaid definitely refuses to help the bear. Rule6: This is a basic rule: if the mannikin leaves the houses occupied by the lizard, then the conclusion that \"the lizard will not manage to persuade the seahorse\" follows immediately and effectively. Rule7: Here is an important piece of information about the bison: if it has more money than the gadwall then it enjoys the companionship of the german shepherd for sure. Rule8: If the flamingo tears down the castle of the mermaid, then the mermaid is not going to refuse to help the bear. Rule9: This is a basic rule: if the fangtooth pays money to the mannikin, then the conclusion that \"the mannikin leaves the houses that are occupied by the lizard\" follows immediately and effectively. Rule10: This is a basic rule: if the cobra hides her cards from the lizard, then the conclusion that \"the lizard hides her cards from the coyote\" follows immediately and effectively. Rule11: If there is evidence that one animal, no matter which one, unites with the swallow, then the poodle is not going to create one castle for the reindeer. Rule12: Here is an important piece of information about the owl: if it is watching a movie that was released before world war 2 started then it destroys the wall built by the cobra for sure. Rule13: For the goose, if you have two pieces of evidence 1) the lizard acquires a photo of the goose and 2) the stork unites with the goose, then you can add \"goose will never enjoy the companionship of the goat\" to your conclusions. Rule14: Regarding the bison, if it has a basketball that fits in a 17.2 x 26.1 x 13.8 inches box, then we can conclude that it does not enjoy the company of the german shepherd. Rule15: One of the rules of the game is that if the duck shouts at the stork, then the stork will, without hesitation, capture the king of the bulldog. Rule16: If there is evidence that one animal, no matter which one, refuses to help the bear, then the stork is not going to capture the king of the bulldog. Rule17: This is a basic rule: if the vampire calls the goose, then the conclusion that \"the goose enjoys the company of the goat\" follows immediately and effectively. Rule18: Be careful when something hides the cards that she has from the coyote but does not manage to convince the seahorse because in this case it will, surely, acquire a photo of the goose (this may or may not be problematic). Rule19: The poodle will create one castle for the reindeer if it (the poodle) has a device to connect to the internet. Rule20: The goat unquestionably reveals a secret to the akita, in the case where the goose does not enjoy the companionship of the goat. Rule1 is preferred over Rule7. Rule14 is preferred over Rule7. Rule15 is preferred over Rule16. Rule17 is preferred over Rule13. Rule19 is preferred over Rule11. Rule8 is preferred over Rule5. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the goat reveal a secret to the akita? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:054", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bear is named Max. The bison stops the victory of the goat. The bulldog is 3 and a half years old. The dragonfly neglects the poodle. The fangtooth hugs the dugong. The finch is named Mojo. The fish tears down the castle that belongs to the gadwall. The goose is named Lily. The reindeer is named Lucy. The seahorse has a violin, and is one and a half years old. The swallow is named Paco. And the rules of the game are as follows. Rule1: The living creature that trades one of the pieces in its possession with the elk will also swim in the pool next to the house of the camel, without a doubt. Rule2: If the goat shouts at the camel, then the camel is not going to bring an oil tank for the basenji. Rule3: If there is evidence that one animal, no matter which one, shouts at the frog, then the reindeer destroys the wall built by the badger undoubtedly. Rule4: Regarding the reindeer, if it has more than six friends, then we can conclude that it does not neglect the german shepherd. Rule5: If there is evidence that one animal, no matter which one, pays money to the beaver, then the vampire negotiates a deal with the camel undoubtedly. Rule6: From observing that an animal hugs the dugong, one can conclude the following: that animal does not reveal a secret to the dinosaur. Rule7: Regarding the seahorse, if it is less than 3 and a half years old, then we can conclude that it hugs the peafowl. Rule8: The songbird does not reveal a secret to the german shepherd, in the case where the dinosaur shouts at the songbird. Rule9: If the camel brings an oil tank for the basenji and the german shepherd does not swim in the pool next to the house of the basenji, then, inevitably, the basenji tears down the castle of the otter. Rule10: If there is evidence that one animal, no matter which one, stops the victory of the goat, then the bulldog disarms the mouse undoubtedly. Rule11: If the bear has a name whose first letter is the same as the first letter of the finch's name, then the bear destroys the wall constructed by the starling. Rule12: This is a basic rule: if the flamingo does not hide her cards from the vampire, then the conclusion that the vampire will not negotiate a deal with the camel follows immediately and effectively. Rule13: If there is evidence that one animal, no matter which one, destroys the wall built by the starling, then the dinosaur trades one of its pieces with the cobra undoubtedly. Rule14: The german shepherd unquestionably shouts at the frog, in the case where the reindeer neglects the german shepherd. Rule15: There exists an animal which destroys the wall built by the badger? Then, the camel definitely does not hide her cards from the woodpecker. Rule16: The gadwall does not dance with the zebra whenever at least one animal neglects the poodle. Rule17: If at least one animal dances with the chinchilla, then the german shepherd swims in the pool next to the house of the basenji. Rule18: If you are positive that you saw one of the animals trades one of its pieces with the cobra, you can be certain that it will also shout at the songbird. Rule19: If the bulldog is more than nineteen months old, then the bulldog does not disarm the mouse. Rule20: If something leaves the houses that are occupied by the chihuahua and does not hide her cards from the woodpecker, then it brings an oil tank for the basenji. Rule21: If at least one animal hugs the peafowl, then the akita trades one of its pieces with the elk. Rule22: If there is evidence that one animal, no matter which one, disarms the mouse, then the camel pays some $$$ to the beaver undoubtedly. Rule23: Here is an important piece of information about the bulldog: if it has a name whose first letter is the same as the first letter of the swallow's name then it does not disarm the mouse for sure. Rule24: One of the rules of the game is that if the songbird does not reveal something that is supposed to be a secret to the german shepherd, then the german shepherd will never swim in the pool next to the house of the basenji. Rule25: The zebra unquestionably hugs the reindeer, in the case where the gadwall does not dance with the zebra. Rule26: If the reindeer has a name whose first letter is the same as the first letter of the goose's name, then the reindeer neglects the german shepherd. Rule27: If the vampire negotiates a deal with the camel, then the camel leaves the houses occupied by the chihuahua. Rule17 is preferred over Rule24. Rule19 is preferred over Rule10. Rule2 is preferred over Rule20. Rule23 is preferred over Rule10. Rule4 is preferred over Rule26. Rule5 is preferred over Rule12. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the basenji tear down the castle that belongs to the otter? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:058", "request": "A few players are playing a boardgame. The current state of the game is as follows. The butterfly has 81 dollars. The leopard reduced her work hours recently. The liger has 20 friends. The llama has 55 dollars. The llama is a physiotherapist. The mermaid disarms the beetle. The owl refuses to help the starling. The rhino swears to the llama. The seal is 96 days old, and trades one of its pieces with the camel. And the rules of the game are as follows. Rule1: If the bulldog hugs the dalmatian, then the dalmatian builds a power plant close to the green fields of the frog. Rule2: The starling unquestionably dances with the dalmatian, in the case where the owl refuses to help the starling. Rule3: From observing that one animal smiles at the fish, one can conclude that it also hugs the zebra, undoubtedly. Rule4: If the leopard is a fan of Chris Ronaldo, then the leopard brings an oil tank for the cobra. Rule5: This is a basic rule: if the dolphin borrows one of the weapons of the dalmatian, then the conclusion that \"the dalmatian will not build a power plant close to the green fields of the frog\" follows immediately and effectively. Rule6: Here is an important piece of information about the llama: if it has more money than the butterfly then it does not acquire a photo of the badger for sure. Rule7: This is a basic rule: if the llama acquires a photo of the badger, then the conclusion that \"the badger borrows one of the weapons of the chinchilla\" follows immediately and effectively. Rule8: This is a basic rule: if the cobra does not acquire a photo of the bulldog, then the conclusion that the bulldog hugs the dalmatian follows immediately and effectively. Rule9: If the rhino does not swear to the llama, then the llama acquires a photo of the badger. Rule10: If there is evidence that one animal, no matter which one, creates a castle for the flamingo, then the chinchilla is not going to capture the king of the crow. Rule11: The seal will call the cobra if it (the seal) is less than two years old. Rule12: If something does not invest in the company whose owner is the swan but hugs the zebra, then it tears down the castle that belongs to the frog. Rule13: If at least one animal manages to persuade the seahorse, then the badger does not borrow a weapon from the chinchilla. Rule14: This is a basic rule: if the leopard brings an oil tank for the cobra, then the conclusion that \"the cobra will not enjoy the company of the mannikin\" follows immediately and effectively. Rule15: If the chinchilla tears down the castle that belongs to the frog and the dalmatian builds a power plant near the green fields of the frog, then the frog wants to see the pigeon. Rule16: One of the rules of the game is that if the liger suspects the truthfulness of the flamingo, then the flamingo will, without hesitation, hide her cards from the chinchilla. Rule17: There exists an animal which brings an oil tank for the german shepherd? Then the chinchilla definitely smiles at the fish. Rule18: The chinchilla unquestionably captures the king of the crow, in the case where the flamingo hides her cards from the chinchilla. Rule19: There exists an animal which swears to the poodle? Then, the chinchilla definitely does not tear down the castle that belongs to the frog. Rule20: One of the rules of the game is that if the seal calls the cobra, then the cobra will, without hesitation, enjoy the companionship of the mannikin. Rule21: If the liger has more than 10 friends, then the liger suspects the truthfulness of the flamingo. Rule22: If there is evidence that one animal, no matter which one, trades one of its pieces with the dalmatian, then the basenji brings an oil tank for the german shepherd undoubtedly. Rule23: If something enjoys the companionship of the mannikin, then it does not acquire a photograph of the bulldog. Rule24: From observing that an animal captures the king of the crow, one can conclude the following: that animal does not invest in the company owned by the swan. Rule25: From observing that an animal trades one of its pieces with the camel, one can conclude the following: that animal does not call the cobra. Rule10 is preferred over Rule18. Rule11 is preferred over Rule25. Rule19 is preferred over Rule12. Rule20 is preferred over Rule14. Rule5 is preferred over Rule1. Rule6 is preferred over Rule9. Rule7 is preferred over Rule13. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the frog want to see the pigeon? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:060", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita captures the king of the owl. The beaver is named Lily. The dalmatian swears to the snake. The dragon assassinated the mayor, and is a farm worker. The dragon is named Cinnamon. The german shepherd is watching a movie from 2007. The owl has a card that is white in color, and has five friends that are easy going and 3 friends that are not. And the rules of the game are as follows. Rule1: If the german shepherd is watching a movie that was released before Maradona died, then the german shepherd reveals a secret to the butterfly. Rule2: One of the rules of the game is that if the dragon dances with the chinchilla, then the chinchilla will, without hesitation, create a castle for the duck. Rule3: The duck does not fall on a square that belongs to the flamingo, in the case where the gorilla pays money to the duck. Rule4: If there is evidence that one animal, no matter which one, reveals a secret to the butterfly, then the duck takes over the emperor of the reindeer undoubtedly. Rule5: If the dalmatian swears to the snake, then the snake takes over the emperor of the dinosaur. Rule6: For the duck, if the belief is that the snake shouts at the duck and the chinchilla creates a castle for the duck, then you can add \"the duck stops the victory of the cobra\" to your conclusions. Rule7: The owl will bring an oil tank for the duck if it (the owl) has fewer than fifteen friends. Rule8: This is a basic rule: if the owl does not bring an oil tank for the duck, then the conclusion that the duck falls on a square of the flamingo follows immediately and effectively. Rule9: If you are positive that you saw one of the animals takes over the emperor of the dinosaur, you can be certain that it will also shout at the duck. Rule10: From observing that one animal takes over the emperor of the reindeer, one can conclude that it also falls on a square of the chihuahua, undoubtedly. Rule11: There exists an animal which borrows a weapon from the snake? Then the gadwall definitely suspects the truthfulness of the rhino. Rule12: The rhino unquestionably destroys the wall built by the wolf, in the case where the gadwall suspects the truthfulness of the rhino. Rule13: The duck does not fall on a square that belongs to the chihuahua whenever at least one animal unites with the goat. Rule14: Here is an important piece of information about the dragon: if it killed the mayor then it dances with the chinchilla for sure. Rule15: From observing that one animal falls on a square that belongs to the flamingo, one can conclude that it also falls on a square of the beaver, undoubtedly. Rule16: The owl will bring an oil tank for the duck if it (the owl) has a card with a primary color. Rule17: Here is an important piece of information about the dragon: if it has a name whose first letter is the same as the first letter of the beaver's name then it dances with the chinchilla for sure. Rule18: If something pays some $$$ to the chihuahua, then it borrows one of the weapons of the snake, too. Rule13 is preferred over Rule10. Rule3 is preferred over Rule8. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the rhino destroy the wall constructed by the wolf? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:063", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bison suspects the truthfulness of the beetle. The dove has a card that is violet in color, and parked her bike in front of the store. The dove is a farm worker. The dragonfly is watching a movie from 1999. The dragonfly is currently in Toronto. The llama is named Cinnamon, and wants to see the crow. The walrus enjoys the company of the beetle. The zebra is named Luna. The beetle does not build a power plant near the green fields of the dugong. The llama does not create one castle for the vampire. And the rules of the game are as follows. Rule1: The living creature that does not take over the emperor of the owl will surrender to the crab with no doubts. Rule2: If the dragonfly is in Africa at the moment, then the dragonfly pays money to the leopard. Rule3: If you are positive that you saw one of the animals takes over the emperor of the reindeer, you can be certain that it will also pay money to the dalmatian. Rule4: The beetle does not unite with the flamingo, in the case where the walrus enjoys the companionship of the beetle. Rule5: The mermaid does not destroy the wall built by the goose, in the case where the dove suspects the truthfulness of the mermaid. Rule6: This is a basic rule: if the mermaid destroys the wall built by the goose, then the conclusion that \"the goose hides the cards that she has from the beetle\" follows immediately and effectively. Rule7: If you are positive that one of the animals does not reveal a secret to the dragonfly, you can be certain that it will want to see the pelikan without a doubt. Rule8: There exists an animal which wants to see the pelikan? Then, the liger definitely does not want to see the basenji. Rule9: If the dragonfly is watching a movie that was released before the Berlin wall fell, then the dragonfly pays money to the leopard. Rule10: In order to conclude that the leopard will never reveal something that is supposed to be a secret to the dragonfly, two pieces of evidence are required: firstly the llama should want to see the leopard and secondly the dragonfly should not pay money to the leopard. Rule11: The llama will want to see the leopard if it (the llama) has a name whose first letter is the same as the first letter of the zebra's name. Rule12: This is a basic rule: if the bison does not suspect the truthfulness of the beetle, then the conclusion that the beetle unites with the flamingo follows immediately and effectively. Rule13: The dove will suspect the truthfulness of the mermaid if it (the dove) took a bike from the store. Rule14: If something pays some $$$ to the dalmatian, then it does not borrow one of the weapons of the basenji. Rule15: If something acquires a photograph of the crab, then it takes over the emperor of the reindeer, too. Rule16: If you are positive that one of the animals does not build a power plant close to the green fields of the dugong, you can be certain that it will not take over the emperor of the owl. Rule17: Here is an important piece of information about the dove: if it has a card whose color is one of the rainbow colors then it suspects the truthfulness of the mermaid for sure. Rule18: Here is an important piece of information about the dove: if it has more than 4 friends then it does not suspect the truthfulness of the mermaid for sure. Rule19: If something reveals something that is supposed to be a secret to the bulldog, then it falls on a square that belongs to the mannikin, too. Rule20: One of the rules of the game is that if the beetle does not borrow a weapon from the basenji, then the basenji will never fall on a square that belongs to the mannikin. Rule21: If there is evidence that one animal, no matter which one, hugs the german shepherd, then the leopard is not going to want to see the pelikan. Rule22: If the dove works in computer science and engineering, then the dove does not suspect the truthfulness of the mermaid. Rule23: If the liger does not want to see the basenji, then the basenji reveals a secret to the bulldog. Rule18 is preferred over Rule13. Rule18 is preferred over Rule17. Rule20 is preferred over Rule19. Rule22 is preferred over Rule13. Rule22 is preferred over Rule17. Rule4 is preferred over Rule12. Rule7 is preferred over Rule21. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the basenji fall on a square of the mannikin? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:066", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dalmatian is watching a movie from 1969. And the rules of the game are as follows. Rule1: If something refuses to help the badger, then it wants to see the otter, too. Rule2: If the dalmatian is watching a movie that was released before the Internet was invented, then the dalmatian does not pay money to the peafowl. Rule3: If something does not pay money to the peafowl, then it unites with the seal. Rule4: If there is evidence that one animal, no matter which one, unites with the seal, then the mouse shouts at the ostrich undoubtedly. Rule5: The dinosaur refuses to help the badger whenever at least one animal dances with the ostrich. Rule6: If there is evidence that one animal, no matter which one, wants to see the otter, then the gorilla unites with the reindeer undoubtedly. Rule7: The dinosaur does not want to see the otter whenever at least one animal trades one of its pieces with the mermaid. Rule8: If the ostrich reveals something that is supposed to be a secret to the gorilla, then the gorilla is not going to unite with the reindeer. Rule1 is preferred over Rule7. Rule8 is preferred over Rule6. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the gorilla unite with the reindeer? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:070", "request": "A few players are playing a boardgame. The current state of the game is as follows. The cobra has 67 dollars. The songbird has 38 dollars. The vampire has 71 dollars. The vampire has a card that is red in color, and is currently in Kenya. The dugong does not enjoy the company of the akita. And the rules of the game are as follows. Rule1: If you are positive that one of the animals does not enjoy the companionship of the akita, you can be certain that it will reveal a secret to the goat without a doubt. Rule2: If you are positive that you saw one of the animals refuses to help the monkey, you can be certain that it will also invest in the company owned by the woodpecker. Rule3: There exists an animal which swears to the dalmatian? Then, the bee definitely does not refuse to help the monkey. Rule4: One of the rules of the game is that if the vampire does not create a castle for the goat, then the goat will, without hesitation, refuse to help the beaver. Rule5: There exists an animal which enjoys the company of the peafowl? Then the beaver definitely swims in the pool next to the house of the bee. Rule6: If at least one animal builds a power plant near the green fields of the german shepherd, then the bee does not invest in the company owned by the woodpecker. Rule7: One of the rules of the game is that if the beaver swims in the pool next to the house of the bee, then the bee will, without hesitation, refuse to help the monkey. Rule8: If the vampire is in Africa at the moment, then the vampire does not create one castle for the goat. Rule9: The living creature that refuses to help the beaver will also enjoy the company of the peafowl, without a doubt. Rule10: If there is evidence that one animal, no matter which one, invests in the company owned by the woodpecker, then the poodle is not going to unite with the starling. Rule11: For the goat, if you have two pieces of evidence 1) the dugong reveals something that is supposed to be a secret to the goat and 2) the fish does not suspect the truthfulness of the goat, then you can add that the goat will never refuse to help the beaver to your conclusions. Rule12: From observing that an animal does not stop the victory of the lizard, one can conclude that it unites with the starling. Rule11 is preferred over Rule4. Rule12 is preferred over Rule10. Rule3 is preferred over Rule7. Rule6 is preferred over Rule2. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the poodle unite with the starling? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:072", "request": "A few players are playing a boardgame. The current state of the game is as follows. The badger trades one of its pieces with the walrus. The bison trades one of its pieces with the stork. The crab borrows one of the weapons of the bee, and is watching a movie from 2009. The crab got a well-paid job. The dalmatian stops the victory of the coyote. The dolphin builds a power plant near the green fields of the beetle. The flamingo destroys the wall constructed by the cougar. The flamingo is watching a movie from 2005. The gadwall has a card that is violet in color. The goose has 87 dollars. The gorilla has 18 friends, has a card that is black in color, and is currently in Marseille. The ostrich has a card that is green in color, and is watching a movie from 2023. The reindeer invests in the company whose owner is the dachshund. The wolf has 79 dollars. The worm has 17 friends. The worm is a teacher assistant. The llama does not smile at the flamingo. The mermaid does not pay money to the vampire. And the rules of the game are as follows. Rule1: If you are positive that one of the animals does not create one castle for the starling, you can be certain that it will not build a power plant near the green fields of the monkey. Rule2: If there is evidence that one animal, no matter which one, refuses to help the dove, then the reindeer manages to convince the zebra undoubtedly. Rule3: If you are positive that you saw one of the animals destroys the wall built by the cougar, you can be certain that it will also build a power plant close to the green fields of the monkey. Rule4: If there is evidence that one animal, no matter which one, builds a power plant close to the green fields of the beetle, then the akita unites with the chihuahua undoubtedly. Rule5: From observing that one animal invests in the company owned by the dachshund, one can conclude that it also hugs the woodpecker, undoubtedly. Rule6: From observing that one animal refuses to help the german shepherd, one can conclude that it also refuses to help the chihuahua, undoubtedly. Rule7: One of the rules of the game is that if the liger does not enjoy the companionship of the dinosaur, then the dinosaur will, without hesitation, hide her cards from the peafowl. Rule8: If the crab reveals a secret to the cobra, then the cobra captures the king of the poodle. Rule9: The living creature that borrows a weapon from the bee will also reveal a secret to the cobra, without a doubt. Rule10: If the goose has more money than the wolf, then the goose dances with the lizard. Rule11: The living creature that trades one of its pieces with the stork will also refuse to help the german shepherd, without a doubt. Rule12: If the fangtooth does not borrow a weapon from the ant, then the ant does not negotiate a deal with the shark. Rule13: Here is an important piece of information about the gorilla: if it is in France at the moment then it suspects the truthfulness of the peafowl for sure. Rule14: If at least one animal stops the victory of the coyote, then the worm does not build a power plant close to the green fields of the songbird. Rule15: If something smiles at the pelikan, then it enjoys the companionship of the elk, too. Rule16: The dinosaur does not hide the cards that she has from the peafowl whenever at least one animal enjoys the companionship of the bear. Rule17: The living creature that does not build a power plant close to the green fields of the songbird will leave the houses occupied by the seal with no doubts. Rule18: If something tears down the castle that belongs to the seahorse, then it enjoys the companionship of the bear, too. Rule19: The walrus unquestionably disarms the gadwall, in the case where the badger trades one of its pieces with the walrus. Rule20: If at least one animal unites with the chihuahua, then the husky enjoys the companionship of the chihuahua. Rule21: The flamingo unquestionably unites with the bulldog, in the case where the llama does not smile at the flamingo. Rule22: If the flamingo has more than 9 friends, then the flamingo does not unite with the bulldog. Rule23: If at least one animal dances with the lizard, then the swan tears down the castle that belongs to the seahorse. Rule24: This is a basic rule: if the bulldog does not call the dugong, then the conclusion that the dugong swears to the dragonfly follows immediately and effectively. Rule25: From observing that an animal does not swim inside the pool located besides the house of the leopard, one can conclude that it enjoys the companionship of the dugong. Rule26: There exists an animal which hugs the dragon? Then the fangtooth definitely shouts at the fish. Rule27: From observing that an animal reveals something that is supposed to be a secret to the otter, one can conclude the following: that animal does not leave the houses occupied by the seal. Rule28: There exists an animal which hides her cards from the rhino? Then the snake definitely swears to the owl. Rule29: This is a basic rule: if the reindeer unites with the zebra, then the conclusion that \"the zebra will not negotiate a deal with the bulldog\" follows immediately and effectively. Rule30: The living creature that does not surrender to the pigeon will never negotiate a deal with the mouse. Rule31: If the gadwall does not suspect the truthfulness of the akita, then the akita does not disarm the dugong. Rule32: This is a basic rule: if the gorilla brings an oil tank for the chinchilla, then the conclusion that \"the chinchilla hugs the ant\" follows immediately and effectively. Rule33: If there is evidence that one animal, no matter which one, trades one of the pieces in its possession with the frog, then the gadwall is not going to acquire a photograph of the swallow. Rule34: Regarding the gadwall, if it has a card whose color starts with the letter \"v\", then we can conclude that it does not enjoy the company of the elk. Rule35: There exists an animal which captures the king (i.e. the most important piece) of the poodle? Then, the fangtooth definitely does not borrow a weapon from the ant. Rule36: This is a basic rule: if the chihuahua stops the victory of the gadwall, then the conclusion that \"the gadwall suspects the truthfulness of the akita\" follows immediately and effectively. Rule37: From observing that an animal builds a power plant near the green fields of the monkey, one can conclude the following: that animal does not trade one of the pieces in its possession with the frog. Rule38: Regarding the gorilla, if it has a card whose color starts with the letter \"l\", then we can conclude that it suspects the truthfulness of the peafowl. Rule39: This is a basic rule: if the finch pays some $$$ to the beaver, then the conclusion that \"the beaver will not suspect the truthfulness of the ant\" follows immediately and effectively. Rule40: There exists an animal which hugs the woodpecker? Then the mule definitely refuses to help the dove. Rule41: The living creature that suspects the truthfulness of the peafowl will also bring an oil tank for the chinchilla, without a doubt. Rule42: If you are positive that one of the animals does not enjoy the companionship of the elk, you can be certain that it will not surrender to the pigeon. Rule43: If the camel negotiates a deal with the bison, then the bison is not going to refuse to help the german shepherd. Rule44: If there is evidence that one animal, no matter which one, swears to the owl, then the beaver suspects the truthfulness of the ant undoubtedly. Rule45: There exists an animal which enjoys the company of the chihuahua? Then the gadwall definitely negotiates a deal with the mouse. Rule46: Regarding the akita, if it is less than fifteen and a half months old, then we can conclude that it does not unite with the chihuahua. Rule47: If the crab has a high salary, then the crab does not reveal something that is supposed to be a secret to the cobra. Rule48: If the ostrich has a card with a primary color, then the ostrich hides the cards that she has from the rhino. Rule49: If something manages to persuade the zebra, then it unites with the zebra, too. Rule50: From observing that an animal tears down the castle of the elk, one can conclude the following: that animal does not swear to the dragonfly. Rule51: If the ostrich is watching a movie that was released before Maradona died, then the ostrich hides the cards that she has from the rhino. Rule52: If you are positive that one of the animals does not pay some $$$ to the vampire, you can be certain that it will hug the dragon without a doubt. Rule53: If there is evidence that one animal, no matter which one, leaves the houses occupied by the seal, then the chihuahua stops the victory of the gadwall undoubtedly. Rule54: If the dinosaur does not hide her cards from the peafowl, then the peafowl borrows a weapon from the dugong. Rule55: Regarding the flamingo, if it is watching a movie that was released after Maradona died, then we can conclude that it does not unite with the bulldog. Rule56: Here is an important piece of information about the gorilla: if it has more than 8 friends then it does not suspect the truthfulness of the peafowl for sure. Rule57: If the zebra does not negotiate a deal with the bulldog, then the bulldog does not call the dugong. Rule58: If you are positive that you saw one of the animals unites with the bulldog, you can be certain that it will also trade one of its pieces with the frog. Rule59: One of the rules of the game is that if the zebra disarms the mule, then the mule will never refuse to help the dove. Rule60: This is a basic rule: if the chinchilla hugs the ant, then the conclusion that \"the ant will not swim inside the pool located besides the house of the leopard\" follows immediately and effectively. Rule61: For the dugong, if you have two pieces of evidence 1) the akita does not disarm the dugong and 2) the ant enjoys the companionship of the dugong, then you can add \"dugong tears down the castle that belongs to the elk\" to your conclusions. Rule62: Be careful when something does not acquire a photograph of the swallow and also does not negotiate a deal with the mouse because in this case it will surely not suspect the truthfulness of the akita (this may or may not be problematic). Rule1 is preferred over Rule3. Rule13 is preferred over Rule56. Rule15 is preferred over Rule34. Rule22 is preferred over Rule21. Rule27 is preferred over Rule17. Rule30 is preferred over Rule45. Rule38 is preferred over Rule56. Rule39 is preferred over Rule44. Rule43 is preferred over Rule11. Rule46 is preferred over Rule4. Rule50 is preferred over Rule24. Rule55 is preferred over Rule21. Rule58 is preferred over Rule37. Rule59 is preferred over Rule40. Rule62 is preferred over Rule36. Rule7 is preferred over Rule16. Rule9 is preferred over Rule47. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the dugong swear to the dragonfly? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:073", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beetle has a bench. The beetle is currently in Cape Town. The butterfly struggles to find food. The butterfly was born 19 and a half months ago. The dachshund has 12 dollars. The finch has 73 dollars. The gorilla has 92 dollars. The gorilla is currently in Kenya. The leopard has a card that is green in color, and has five friends. The monkey has two friends. The monkey is a high school teacher. The mule reveals a secret to the pelikan. The rhino has a cutter, and has two friends that are playful and 3 friends that are not. The rhino has a football with a radius of 21 inches, and is named Beauty. The snake is named Buddy. And the rules of the game are as follows. Rule1: This is a basic rule: if the crab does not smile at the dalmatian, then the conclusion that the dalmatian dances with the basenji follows immediately and effectively. Rule2: From observing that an animal does not create one castle for the cobra, one can conclude the following: that animal will not hug the rhino. Rule3: If something dances with the basenji, then it surrenders to the cougar, too. Rule4: The rhino will not dance with the liger if it (the rhino) has a name whose first letter is the same as the first letter of the snake's name. Rule5: If the butterfly has difficulty to find food, then the butterfly swears to the stork. Rule6: Regarding the rhino, if it has a device to connect to the internet, then we can conclude that it does not dance with the liger. Rule7: The monkey will not bring an oil tank for the seal if it (the monkey) works fewer hours than before. Rule8: Regarding the leopard, if it has a card with a primary color, then we can conclude that it takes over the emperor of the gorilla. Rule9: From observing that one animal reveals something that is supposed to be a secret to the pigeon, one can conclude that it also tears down the castle of the peafowl, undoubtedly. Rule10: The beetle will enjoy the companionship of the shark if it (the beetle) is in Africa at the moment. Rule11: If the gadwall does not swim in the pool next to the house of the vampire however the dachshund smiles at the vampire, then the vampire will not hide the cards that she has from the husky. Rule12: This is a basic rule: if the gorilla does not destroy the wall constructed by the songbird, then the conclusion that the songbird creates one castle for the gadwall follows immediately and effectively. Rule13: The beetle will enjoy the company of the shark if it (the beetle) has a device to connect to the internet. Rule14: Regarding the gorilla, if it is in Africa at the moment, then we can conclude that it destroys the wall constructed by the bear. Rule15: There exists an animal which swears to the mannikin? Then, the woodpecker definitely does not manage to persuade the monkey. Rule16: One of the rules of the game is that if the leopard takes over the emperor of the gorilla, then the gorilla will, without hesitation, reveal something that is supposed to be a secret to the pigeon. Rule17: The butterfly will swear to the stork if it (the butterfly) is more than five years old. Rule18: From observing that an animal acquires a photograph of the goose, one can conclude the following: that animal does not surrender to the cougar. Rule19: If at least one animal reveals something that is supposed to be a secret to the pelikan, then the woodpecker acquires a photo of the coyote. Rule20: There exists an animal which smiles at the akita? Then the monkey definitely creates one castle for the cobra. Rule21: The monkey will not bring an oil tank for the seal if it (the monkey) has more than six friends. Rule22: If at least one animal calls the bee, then the dachshund does not stop the victory of the owl. Rule23: If the rhino has a football that fits in a 48.1 x 45.2 x 51.3 inches box, then the rhino dances with the liger. Rule24: If at least one animal enjoys the companionship of the shark, then the crab does not smile at the dalmatian. Rule25: If something acquires a photo of the coyote, then it manages to persuade the monkey, too. Rule26: If you are positive that you saw one of the animals brings an oil tank for the seal, you can be certain that it will not create a castle for the cobra. Rule27: Be careful when something tears down the castle of the chinchilla and also wants to see the dugong because in this case it will surely not tear down the castle that belongs to the peafowl (this may or may not be problematic). Rule28: The leopard will take over the emperor of the gorilla if it (the leopard) has more than fourteen friends. Rule29: If you are positive that one of the animals does not stop the victory of the owl, you can be certain that it will smile at the vampire without a doubt. Rule30: If you are positive that you saw one of the animals tears down the castle of the peafowl, you can be certain that it will not destroy the wall built by the songbird. Rule31: If you are positive that you saw one of the animals destroys the wall built by the bear, you can be certain that it will also tear down the castle of the chinchilla. Rule32: If something pays money to the crow, then it reveals something that is supposed to be a secret to the chihuahua, too. Rule33: One of the rules of the game is that if the monkey does not hug the rhino, then the rhino will, without hesitation, call the bee. Rule34: The living creature that surrenders to the cougar will also trade one of the pieces in its possession with the dachshund, without a doubt. Rule35: The rhino pays some $$$ to the crow whenever at least one animal swears to the stork. Rule36: Here is an important piece of information about the monkey: if it works in education then it brings an oil tank for the seal for sure. Rule37: If the songbird creates a castle for the gadwall, then the gadwall is not going to swim inside the pool located besides the house of the vampire. Rule15 is preferred over Rule25. Rule18 is preferred over Rule3. Rule20 is preferred over Rule26. Rule21 is preferred over Rule36. Rule27 is preferred over Rule9. Rule4 is preferred over Rule23. Rule6 is preferred over Rule23. Rule7 is preferred over Rule36. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the vampire hide the cards that she has from the husky? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:074", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has a card that is yellow in color. The beaver has 49 dollars. The crow has 36 dollars. The finch is a sales manager. The mule is 37 weeks old. The ostrich enjoys the company of the gorilla. The pelikan has 72 dollars. The pelikan has a cappuccino. The pelikan is 14 months old. The seahorse has a card that is red in color. The seahorse is named Tarzan, and is currently in Milan. The shark is 5 years old. The snake acquires a photograph of the akita. The stork is named Charlie. The walrus unites with the starling. And the rules of the game are as follows. Rule1: From observing that an animal does not fall on a square of the wolf, one can conclude the following: that animal will not suspect the truthfulness of the llama. Rule2: If you are positive that one of the animals does not call the woodpecker, you can be certain that it will suspect the truthfulness of the llama without a doubt. Rule3: Regarding the pelikan, if it has a card with a primary color, then we can conclude that it falls on a square of the wolf. Rule4: If at least one animal hugs the swan, then the butterfly borrows a weapon from the worm. Rule5: This is a basic rule: if the dalmatian does not capture the king (i.e. the most important piece) of the pelikan, then the conclusion that the pelikan will not invest in the company owned by the dugong follows immediately and effectively. Rule6: Here is an important piece of information about the mule: if it is less than three years old then it swears to the fish for sure. Rule7: If the llama unites with the pelikan, then the pelikan invests in the company whose owner is the dugong. Rule8: If the goat reveals something that is supposed to be a secret to the fangtooth, then the fangtooth hugs the swan. Rule9: The living creature that falls on a square of the badger will also call the woodpecker, without a doubt. Rule10: If there is evidence that one animal, no matter which one, destroys the wall constructed by the butterfly, then the cougar destroys the wall built by the goat undoubtedly. Rule11: There exists an animal which hugs the seal? Then the liger definitely calls the zebra. Rule12: Regarding the seahorse, if it has a card with a primary color, then we can conclude that it destroys the wall built by the butterfly. Rule13: This is a basic rule: if the cougar destroys the wall constructed by the goat, then the conclusion that \"the goat reveals something that is supposed to be a secret to the fangtooth\" follows immediately and effectively. Rule14: The vampire will not refuse to help the mannikin, in the case where the peafowl does not create a castle for the vampire. Rule15: There exists an animal which invests in the company owned by the dugong? Then the seal definitely trades one of the pieces in its possession with the vampire. Rule16: If at least one animal calls the zebra, then the vampire suspects the truthfulness of the rhino. Rule17: From observing that an animal does not want to see the husky, one can conclude that it trades one of the pieces in its possession with the cobra. Rule18: If something leaves the houses occupied by the owl, then it does not borrow one of the weapons of the worm. Rule19: This is a basic rule: if the dragon does not refuse to help the german shepherd, then the conclusion that the german shepherd will not suspect the truthfulness of the llama follows immediately and effectively. Rule20: The llama unquestionably hugs the lizard, in the case where the pelikan does not suspect the truthfulness of the llama. Rule21: If there is evidence that one animal, no matter which one, enjoys the companionship of the gorilla, then the bee creates a castle for the dinosaur undoubtedly. Rule22: If something reveals a secret to the flamingo, then it does not bring an oil tank for the flamingo. Rule23: The gadwall brings an oil tank for the flamingo whenever at least one animal unites with the starling. Rule24: The finch will build a power plant near the green fields of the ant if it (the finch) works in marketing. Rule25: If the seahorse is less than 4 and a half years old, then the seahorse does not destroy the wall built by the butterfly. Rule26: One of the rules of the game is that if the songbird creates a castle for the goat, then the goat will never reveal something that is supposed to be a secret to the fangtooth. Rule27: If something swears to the fish, then it does not hug the seal. Rule28: This is a basic rule: if the gadwall neglects the swallow, then the conclusion that \"the swallow wants to see the vampire\" follows immediately and effectively. Rule29: Regarding the shark, if it is more than 23 and a half months old, then we can conclude that it takes over the emperor of the monkey. Rule30: The seahorse will destroy the wall built by the butterfly if it (the seahorse) has a name whose first letter is the same as the first letter of the stork's name. Rule31: Regarding the pelikan, if it has something to sit on, then we can conclude that it falls on a square that belongs to the wolf. Rule32: There exists an animal which takes over the emperor of the monkey? Then, the german shepherd definitely does not call the woodpecker. Rule33: If you are positive that you saw one of the animals smiles at the mannikin, you can be certain that it will not build a power plant near the green fields of the ant. Rule34: If the seahorse is in Africa at the moment, then the seahorse does not destroy the wall built by the butterfly. Rule35: Be careful when something suspects the truthfulness of the rhino and also refuses to help the mannikin because in this case it will surely not want to see the husky (this may or may not be problematic). Rule36: One of the rules of the game is that if the german shepherd suspects the truthfulness of the llama, then the llama will, without hesitation, unite with the pelikan. Rule37: The pelikan will not fall on a square that belongs to the wolf if it (the pelikan) has more money than the beaver and the crow combined. Rule38: If the pelikan is less than 4 years old, then the pelikan does not fall on a square that belongs to the wolf. Rule39: From observing that an animal trades one of the pieces in its possession with the cobra, one can conclude the following: that animal does not negotiate a deal with the pigeon. Rule40: The akita unquestionably neglects the basenji, in the case where the snake acquires a photograph of the akita. Rule41: From observing that an animal neglects the basenji, one can conclude the following: that animal does not smile at the liger. Rule42: The mule hugs the seal whenever at least one animal builds a power plant close to the green fields of the ant. Rule43: From observing that an animal borrows a weapon from the worm, one can conclude the following: that animal does not neglect the vampire. Rule44: The mule does not swear to the fish, in the case where the frog tears down the castle of the mule. Rule45: If the cobra surrenders to the akita, then the akita smiles at the liger. Rule46: If the swallow wants to see the vampire, then the vampire refuses to help the mannikin. Rule47: From observing that one animal brings an oil tank for the flamingo, one can conclude that it also neglects the swallow, undoubtedly. Rule14 is preferred over Rule46. Rule18 is preferred over Rule4. Rule19 is preferred over Rule2. Rule22 is preferred over Rule23. Rule25 is preferred over Rule12. Rule25 is preferred over Rule30. Rule26 is preferred over Rule13. Rule3 is preferred over Rule37. Rule3 is preferred over Rule38. Rule31 is preferred over Rule37. Rule31 is preferred over Rule38. Rule33 is preferred over Rule24. Rule34 is preferred over Rule12. Rule34 is preferred over Rule30. Rule42 is preferred over Rule27. Rule44 is preferred over Rule6. Rule45 is preferred over Rule41. Rule5 is preferred over Rule7. Rule9 is preferred over Rule32. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the vampire negotiate a deal with the pigeon? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:075", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dove has 3 friends, and is named Pashmak. The dove stops the victory of the woodpecker. The fangtooth is named Blossom. The frog hides the cards that she has from the dinosaur. The liger has a low-income job, and has one friend that is lazy and 3 friends that are not. The mouse has 2 friends, is named Buddy, and is watching a movie from 1961. The mouse published a high-quality paper. The peafowl is named Lily. The badger does not manage to convince the seal. The beaver does not leave the houses occupied by the cobra. The mermaid does not refuse to help the camel. And the rules of the game are as follows. Rule1: Regarding the mouse, if it has a name whose first letter is the same as the first letter of the fangtooth's name, then we can conclude that it disarms the ant. Rule2: One of the rules of the game is that if the mermaid does not refuse to help the camel, then the camel will, without hesitation, unite with the german shepherd. Rule3: If the mouse is watching a movie that was released before the first man landed on moon, then the mouse does not disarm the ant. Rule4: The bear does not neglect the elk, in the case where the crow pays some $$$ to the bear. Rule5: The crow does not negotiate a deal with the vampire, in the case where the swan neglects the crow. Rule6: There exists an animal which destroys the wall constructed by the ostrich? Then, the mannikin definitely does not acquire a photo of the rhino. Rule7: If there is evidence that one animal, no matter which one, disarms the pigeon, then the worm disarms the basenji undoubtedly. Rule8: The seahorse unquestionably swears to the bear, in the case where the walrus does not neglect the seahorse. Rule9: Regarding the mouse, if it has a high-quality paper, then we can conclude that it suspects the truthfulness of the dragonfly. Rule10: If the flamingo does not negotiate a deal with the basenji, then the basenji reveals something that is supposed to be a secret to the gadwall. Rule11: If something stops the victory of the woodpecker, then it does not borrow a weapon from the mannikin. Rule12: Here is an important piece of information about the liger: if it has more than one friend then it tears down the castle that belongs to the mule for sure. Rule13: If there is evidence that one animal, no matter which one, tears down the castle of the mule, then the walrus is not going to neglect the seahorse. Rule14: One of the rules of the game is that if the dove does not borrow one of the weapons of the mannikin, then the mannikin will, without hesitation, acquire a photograph of the rhino. Rule15: From observing that one animal reveals a secret to the wolf, one can conclude that it also refuses to help the dalmatian, undoubtedly. Rule16: From observing that an animal does not manage to persuade the seal, one can conclude that it disarms the pigeon. Rule17: Are you certain that one of the animals disarms the ant and also at the same time suspects the truthfulness of the dragonfly? Then you can also be certain that the same animal falls on a square of the flamingo. Rule18: If you are positive that you saw one of the animals dances with the swallow, you can be certain that it will also trade one of its pieces with the bison. Rule19: If you are positive that one of the animals does not negotiate a deal with the vampire, you can be certain that it will pay money to the bear without a doubt. Rule20: This is a basic rule: if the german shepherd does not swim in the pool next to the house of the flamingo, then the conclusion that the flamingo will not negotiate a deal with the basenji follows immediately and effectively. Rule21: If the camel unites with the german shepherd, then the german shepherd is not going to swim inside the pool located besides the house of the flamingo. Rule22: The basenji unquestionably stops the victory of the fangtooth, in the case where the worm disarms the basenji. Rule23: If at least one animal hides her cards from the dinosaur, then the swan neglects the crow. Rule24: One of the rules of the game is that if the bulldog suspects the truthfulness of the walrus, then the walrus will, without hesitation, neglect the seahorse. Rule25: From observing that an animal does not leave the houses occupied by the cobra, one can conclude the following: that animal will not manage to convince the seahorse. Rule26: If the starling swims inside the pool located besides the house of the seahorse, then the seahorse is not going to enjoy the company of the beetle. Rule27: One of the rules of the game is that if the beaver does not manage to persuade the seahorse, then the seahorse will, without hesitation, enjoy the companionship of the beetle. Rule28: If the seahorse swears to the bear, then the bear dances with the swallow. Rule29: The basenji does not stop the victory of the fangtooth whenever at least one animal acquires a photo of the rhino. Rule30: If something smiles at the otter, then it does not pay some $$$ to the bear. Rule31: This is a basic rule: if the basenji reveals something that is supposed to be a secret to the gadwall, then the conclusion that \"the gadwall suspects the truthfulness of the bison\" follows immediately and effectively. Rule32: Regarding the liger, if it has a high salary, then we can conclude that it tears down the castle that belongs to the mule. Rule33: The mouse does not fall on a square that belongs to the flamingo, in the case where the goat wants to see the mouse. Rule34: This is a basic rule: if the bison does not invest in the company whose owner is the coyote, then the conclusion that the coyote will not refuse to help the dalmatian follows immediately and effectively. Rule35: If the gadwall suspects the truthfulness of the bison and the bear trades one of its pieces with the bison, then the bison will not invest in the company owned by the coyote. Rule1 is preferred over Rule3. Rule15 is preferred over Rule34. Rule22 is preferred over Rule29. Rule24 is preferred over Rule13. Rule26 is preferred over Rule27. Rule30 is preferred over Rule19. Rule33 is preferred over Rule17. Rule6 is preferred over Rule14. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the coyote refuse to help the dalmatian? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:077", "request": "A few players are playing a boardgame. The current state of the game is as follows. The cougar stole a bike from the store. The dinosaur brings an oil tank for the mouse. The finch hates Chris Ronaldo, and is watching a movie from 1974. The flamingo destroys the wall constructed by the seal. The lizard is named Meadow. The mannikin takes over the emperor of the finch. The ostrich has thirteen friends, and is named Mojo. The seahorse enjoys the company of the ostrich. The bear does not hide the cards that she has from the dinosaur. The owl does not dance with the otter. And the rules of the game are as follows. Rule1: If you are positive that you saw one of the animals smiles at the butterfly, you can be certain that it will not unite with the crab. Rule2: If the otter does not acquire a photo of the cougar, then the cougar unites with the crab. Rule3: If the cougar took a bike from the store, then the cougar smiles at the butterfly. Rule4: If the cobra tears down the castle that belongs to the peafowl, then the peafowl is not going to create one castle for the woodpecker. Rule5: This is a basic rule: if the frog shouts at the woodpecker, then the conclusion that \"the woodpecker pays some $$$ to the husky\" follows immediately and effectively. Rule6: Regarding the finch, if it is watching a movie that was released after the first man landed on moon, then we can conclude that it manages to persuade the flamingo. Rule7: There exists an animal which destroys the wall constructed by the liger? Then, the rhino definitely does not swim inside the pool located besides the house of the ostrich. Rule8: The dinosaur will not acquire a photograph of the beaver, in the case where the bear does not hide the cards that she has from the dinosaur. Rule9: If there is evidence that one animal, no matter which one, swims inside the pool located besides the house of the ostrich, then the peafowl creates a castle for the woodpecker undoubtedly. Rule10: Regarding the ostrich, if it has fewer than 9 friends, then we can conclude that it enjoys the companionship of the basenji. Rule11: If the ostrich has a name whose first letter is the same as the first letter of the lizard's name, then the ostrich enjoys the companionship of the basenji. Rule12: The living creature that creates one castle for the snake will also create one castle for the woodpecker, without a doubt. Rule13: If there is evidence that one animal, no matter which one, destroys the wall constructed by the seal, then the finch falls on a square of the poodle undoubtedly. Rule14: There exists an animal which enjoys the companionship of the basenji? Then the chinchilla definitely dances with the rhino. Rule15: There exists an animal which builds a power plant near the green fields of the dolphin? Then, the woodpecker definitely does not pay money to the husky. Rule16: There exists an animal which tears down the castle of the lizard? Then, the swallow definitely does not call the dove. Rule17: One of the rules of the game is that if the owl does not dance with the otter, then the otter will never acquire a photograph of the cougar. Rule18: If you are positive that you saw one of the animals brings an oil tank for the mouse, you can be certain that it will also acquire a photo of the beaver. Rule19: If something falls on a square of the poodle and manages to persuade the flamingo, then it leaves the houses that are occupied by the frog. Rule20: If the finch leaves the houses occupied by the frog, then the frog shouts at the woodpecker. Rule21: The finch will manage to convince the flamingo if it (the finch) is a fan of Chris Ronaldo. Rule22: If the chinchilla dances with the rhino, then the rhino swims in the pool next to the house of the ostrich. Rule23: In order to conclude that the woodpecker disarms the chihuahua, two pieces of evidence are required: firstly the peafowl should create a castle for the woodpecker and secondly the seahorse should create one castle for the woodpecker. Rule24: If there is evidence that one animal, no matter which one, unites with the crab, then the seahorse creates one castle for the snake undoubtedly. Rule25: There exists an animal which disarms the chihuahua? Then the dugong definitely tears down the castle that belongs to the lizard. Rule15 is preferred over Rule5. Rule18 is preferred over Rule8. Rule2 is preferred over Rule1. Rule4 is preferred over Rule9. Rule7 is preferred over Rule22. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the swallow call the dove? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:078", "request": "A few players are playing a boardgame. The current state of the game is as follows. The duck has a backpack, and has a card that is white in color. The dugong stops the victory of the seahorse. The monkey trades one of its pieces with the lizard. The ostrich has 9 friends. The ostrich reduced her work hours recently. The peafowl is 3 and a half years old, and is a web developer. The seahorse is watching a movie from 1979, and was born three years ago. And the rules of the game are as follows. Rule1: There exists an animal which negotiates a deal with the mannikin? Then the seahorse definitely dances with the wolf. Rule2: If something swims inside the pool located besides the house of the songbird, then it pays money to the german shepherd, too. Rule3: From observing that an animal trades one of the pieces in its possession with the coyote, one can conclude the following: that animal does not acquire a photograph of the seal. Rule4: If at least one animal tears down the castle of the camel, then the leopard acquires a photograph of the seal. Rule5: One of the rules of the game is that if the mermaid does not hide her cards from the dachshund, then the dachshund will, without hesitation, call the worm. Rule6: The seahorse does not swear to the fangtooth, in the case where the dugong stops the victory of the seahorse. Rule7: There exists an animal which hides the cards that she has from the otter? Then, the dachshund definitely does not hug the butterfly. Rule8: This is a basic rule: if the swallow refuses to help the duck, then the conclusion that \"the duck will not capture the king (i.e. the most important piece) of the reindeer\" follows immediately and effectively. Rule9: If something dances with the chihuahua, then it captures the king of the reindeer, too. Rule10: The duck will dance with the chihuahua if it (the duck) has a device to connect to the internet. Rule11: The coyote captures the king (i.e. the most important piece) of the dolphin whenever at least one animal hides her cards from the mule. Rule12: Regarding the ostrich, if it works fewer hours than before, then we can conclude that it negotiates a deal with the mannikin. Rule13: One of the rules of the game is that if the flamingo destroys the wall built by the mouse, then the mouse will, without hesitation, disarm the beetle. Rule14: Regarding the duck, if it has a card whose color starts with the letter \"w\", then we can conclude that it dances with the chihuahua. Rule15: If at least one animal acquires a photo of the seal, then the shark stops the victory of the dachshund. Rule16: The beetle unquestionably hides the cards that she has from the mule, in the case where the mouse disarms the beetle. Rule17: From observing that an animal does not shout at the finch, one can conclude the following: that animal will not hide her cards from the dachshund. Rule18: The flamingo destroys the wall built by the mouse whenever at least one animal trades one of its pieces with the lizard. Rule19: Be careful when something hugs the butterfly and also calls the worm because in this case it will surely not want to see the goat (this may or may not be problematic). Rule20: If you are positive that you saw one of the animals falls on a square that belongs to the dove, you can be certain that it will not capture the king of the dolphin. Rule21: If the peafowl is more than 2 years old, then the peafowl swims in the pool next to the house of the songbird. Rule22: If something captures the king (i.e. the most important piece) of the dolphin, then it does not dance with the dachshund. Rule23: This is a basic rule: if the peafowl pays money to the german shepherd, then the conclusion that \"the german shepherd tears down the castle of the camel\" follows immediately and effectively. Rule24: If there is evidence that one animal, no matter which one, dances with the wolf, then the mermaid unites with the vampire undoubtedly. Rule25: If you are positive that you saw one of the animals unites with the vampire, you can be certain that it will not shout at the finch. Rule26: In order to conclude that the dachshund hugs the butterfly, two pieces of evidence are required: firstly the shark should stop the victory of the dachshund and secondly the coyote should not dance with the dachshund. Rule27: The duck will not dance with the chihuahua if it (the duck) has more than eight friends. Rule28: If the ostrich has more than ten friends, then the ostrich negotiates a deal with the mannikin. Rule29: The peafowl will swim in the pool next to the house of the songbird if it (the peafowl) works in education. Rule20 is preferred over Rule11. Rule27 is preferred over Rule10. Rule27 is preferred over Rule14. Rule3 is preferred over Rule4. Rule7 is preferred over Rule26. Rule8 is preferred over Rule9. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the dachshund want to see the goat? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:081", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita is named Charlie, and is a grain elevator operator. The beaver is named Casper. The bison is named Luna. The butterfly has a basketball with a diameter of 24 inches, and neglects the swan. The butterfly has a card that is white in color. The coyote unites with the seal. The frog has a card that is red in color. The frog is named Lucy. The husky has two friends that are energetic and 1 friend that is not. The mannikin is a programmer, and will turn twenty months old in a few minutes. The mule takes over the emperor of the husky. The peafowl swears to the fangtooth. The reindeer hates Chris Ronaldo. The reindeer is watching a movie from 1797. The vampire reveals a secret to the cobra. The wolf creates one castle for the badger, has a card that is black in color, and is currently in Marseille. The woodpecker wants to see the crow but does not create one castle for the pigeon. And the rules of the game are as follows. Rule1: This is a basic rule: if the flamingo calls the ostrich, then the conclusion that \"the ostrich will not unite with the walrus\" follows immediately and effectively. Rule2: The living creature that reveals something that is supposed to be a secret to the cobra will also borrow one of the weapons of the snake, without a doubt. Rule3: From observing that an animal takes over the emperor of the zebra, one can conclude the following: that animal does not dance with the poodle. Rule4: If at least one animal shouts at the llama, then the chihuahua calls the owl. Rule5: If the lizard shouts at the dalmatian, then the dalmatian is not going to enjoy the company of the german shepherd. Rule6: There exists an animal which creates one castle for the dachshund? Then the leopard definitely calls the dove. Rule7: The living creature that creates one castle for the badger will never acquire a photograph of the rhino. Rule8: One of the rules of the game is that if the frog does not take over the emperor of the dalmatian, then the dalmatian will, without hesitation, enjoy the companionship of the german shepherd. Rule9: If you are positive that you saw one of the animals swears to the fangtooth, you can be certain that it will also shout at the llama. Rule10: This is a basic rule: if the vampire borrows a weapon from the snake, then the conclusion that \"the snake borrows one of the weapons of the flamingo\" follows immediately and effectively. Rule11: This is a basic rule: if the snake borrows one of the weapons of the flamingo, then the conclusion that \"the flamingo calls the ostrich\" follows immediately and effectively. Rule12: One of the rules of the game is that if the walrus acquires a photo of the elk, then the elk will, without hesitation, dance with the poodle. Rule13: The duck dances with the ant whenever at least one animal tears down the castle of the starling. Rule14: If the akita works in computer science and engineering, then the akita tears down the castle of the starling. Rule15: The reindeer will not bring an oil tank for the otter if it (the reindeer) is a fan of Chris Ronaldo. Rule16: If the mannikin is more than 23 months old, then the mannikin acquires a photo of the crab. Rule17: This is a basic rule: if the reindeer negotiates a deal with the elk, then the conclusion that \"the elk suspects the truthfulness of the liger\" follows immediately and effectively. Rule18: One of the rules of the game is that if the stork hides her cards from the finch, then the finch will, without hesitation, tear down the castle of the pigeon. Rule19: If at least one animal unites with the seal, then the snake swears to the dugong. Rule20: If there is evidence that one animal, no matter which one, calls the dove, then the gadwall invests in the company owned by the dinosaur undoubtedly. Rule21: The shark unquestionably tears down the castle that belongs to the songbird, in the case where the beetle swears to the shark. Rule22: If the frog has a name whose first letter is the same as the first letter of the bison's name, then the frog takes over the emperor of the dalmatian. Rule23: If the mule takes over the emperor of the husky, then the husky is not going to tear down the castle that belongs to the monkey. Rule24: If something disarms the butterfly, then it acquires a photo of the elk, too. Rule25: The pigeon unquestionably builds a power plant close to the green fields of the dinosaur, in the case where the finch does not tear down the castle that belongs to the pigeon. Rule26: If you are positive that you saw one of the animals neglects the swan, you can be certain that it will also refuse to help the zebra. Rule27: The frog will not take over the emperor of the dalmatian if it (the frog) has a card whose color is one of the rainbow colors. Rule28: If something does not create one castle for the pigeon, then it pays some $$$ to the bear. Rule29: If there is evidence that one animal, no matter which one, acquires a photo of the crab, then the dragon creates a castle for the ant undoubtedly. Rule30: One of the rules of the game is that if the rhino captures the king (i.e. the most important piece) of the finch, then the finch will never tear down the castle of the pigeon. Rule31: If the camel does not call the akita, then the akita does not tear down the castle that belongs to the starling. Rule32: There exists an animal which refuses to help the zebra? Then the dragonfly definitely suspects the truthfulness of the walrus. Rule33: If the elk dances with the poodle, then the poodle falls on a square of the mouse. Rule34: For the ant, if you have two pieces of evidence 1) the duck dances with the ant and 2) the dragon creates one castle for the ant, then you can add \"ant swims in the pool next to the house of the goose\" to your conclusions. Rule35: One of the rules of the game is that if the ostrich does not unite with the walrus, then the walrus will never acquire a photo of the elk. Rule36: One of the rules of the game is that if the dragonfly suspects the truthfulness of the walrus, then the walrus will, without hesitation, borrow one of the weapons of the dragonfly. Rule37: Regarding the reindeer, if it is watching a movie that was released after the French revolution began, then we can conclude that it brings an oil tank for the otter. Rule38: The monkey unquestionably creates one castle for the dachshund, in the case where the husky does not tear down the castle that belongs to the monkey. Rule39: Regarding the akita, if it has a name whose first letter is the same as the first letter of the beaver's name, then we can conclude that it tears down the castle that belongs to the starling. Rule40: The owl does not smile at the goat, in the case where the chihuahua calls the owl. Rule41: Here is an important piece of information about the reindeer: if it has more than 8 friends then it does not bring an oil tank for the otter for sure. Rule42: There exists an animal which invests in the company whose owner is the dinosaur? Then the shark definitely hugs the fish. Rule43: If the mannikin works in computer science and engineering, then the mannikin acquires a photograph of the crab. Rule44: If something borrows one of the weapons of the dragonfly, then it disarms the butterfly, too. Rule45: If the chinchilla pays money to the dinosaur, then the dinosaur dances with the shark. Rule46: If you are positive that you saw one of the animals brings an oil tank for the otter, you can be certain that it will also negotiate a deal with the elk. Rule47: If there is evidence that one animal, no matter which one, smiles at the goat, then the beetle swears to the shark undoubtedly. Rule48: The owl smiles at the goat whenever at least one animal enjoys the company of the german shepherd. Rule49: If something disarms the gorilla, then it does not swear to the shark. Rule50: If you see that something does not tear down the castle of the songbird but it hugs the fish, what can you certainly conclude? You can conclude that it also hides the cards that she has from the badger. Rule51: One of the rules of the game is that if the wolf does not acquire a photo of the rhino, then the rhino will, without hesitation, capture the king (i.e. the most important piece) of the finch. Rule52: The chinchilla pays money to the dinosaur whenever at least one animal suspects the truthfulness of the liger. Rule53: If there is evidence that one animal, no matter which one, hides her cards from the badger, then the poodle is not going to fall on a square that belongs to the mouse. Rule54: If at least one animal swims in the pool next to the house of the goose, then the dragon acquires a photo of the bulldog. Rule55: If at least one animal acquires a photo of the bulldog, then the shark does not tear down the castle that belongs to the songbird. Rule15 is preferred over Rule37. Rule18 is preferred over Rule30. Rule24 is preferred over Rule35. Rule27 is preferred over Rule22. Rule3 is preferred over Rule12. Rule31 is preferred over Rule14. Rule31 is preferred over Rule39. Rule41 is preferred over Rule37. Rule48 is preferred over Rule40. Rule49 is preferred over Rule47. Rule5 is preferred over Rule8. Rule53 is preferred over Rule33. Rule55 is preferred over Rule21. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the poodle fall on a square of the mouse? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:083", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bee has a card that is blue in color, and does not tear down the castle that belongs to the badger. The frog has a card that is yellow in color, and has some spinach. The snake reduced her work hours recently. The seahorse does not create one castle for the vampire. And the rules of the game are as follows. Rule1: If you are positive that you saw one of the animals shouts at the beaver, you can be certain that it will also unite with the ostrich. Rule2: If there is evidence that one animal, no matter which one, tears down the castle of the dove, then the woodpecker takes over the emperor of the monkey undoubtedly. Rule3: The swan does not shout at the beaver whenever at least one animal manages to persuade the rhino. Rule4: For the stork, if you have two pieces of evidence 1) the bee does not trade one of its pieces with the stork and 2) the beetle trades one of its pieces with the stork, then you can add \"stork wants to see the goat\" to your conclusions. Rule5: The living creature that does not tear down the castle of the badger will refuse to help the badger with no doubts. Rule6: There exists an animal which enjoys the companionship of the ant? Then, the swan definitely does not shout at the peafowl. Rule7: There exists an animal which unites with the ostrich? Then the beetle definitely trades one of the pieces in its possession with the stork. Rule8: If you are positive that you saw one of the animals creates one castle for the dragon, you can be certain that it will also refuse to help the dinosaur. Rule9: If the flamingo smiles at the bee, then the bee shouts at the beetle. Rule10: There exists an animal which wants to see the goat? Then, the finch definitely does not capture the king of the pigeon. Rule11: The frog will not destroy the wall constructed by the swan if it (the frog) is less than 4 years old. Rule12: If you are positive that one of the animals does not create one castle for the vampire, you can be certain that it will enjoy the companionship of the ant without a doubt. Rule13: If at least one animal takes over the emperor of the monkey, then the bee does not refuse to help the dinosaur. Rule14: If something wants to see the fangtooth, then it does not shout at the beetle. Rule15: There exists an animal which trades one of the pieces in its possession with the bison? Then, the swan definitely does not unite with the ostrich. Rule16: Regarding the frog, if it has a card with a primary color, then we can conclude that it does not destroy the wall constructed by the swan. Rule17: From observing that an animal does not refuse to help the dinosaur, one can conclude that it reveals something that is supposed to be a secret to the zebra. Rule18: If something does not shout at the beetle but reveals a secret to the zebra, then it will not trade one of the pieces in its possession with the stork. Rule19: If something refuses to help the badger, then it shouts at the dragonfly, too. Rule20: If you are positive that you saw one of the animals shouts at the dragonfly, you can be certain that it will also want to see the fangtooth. Rule21: Regarding the frog, if it has a leafy green vegetable, then we can conclude that it destroys the wall constructed by the swan. Rule22: If you are positive that you saw one of the animals shouts at the peafowl, you can be certain that it will also shout at the beaver. Rule23: Here is an important piece of information about the snake: if it works fewer hours than before then it tears down the castle of the dove for sure. Rule24: The swan unquestionably shouts at the peafowl, in the case where the frog destroys the wall built by the swan. Rule11 is preferred over Rule21. Rule15 is preferred over Rule1. Rule16 is preferred over Rule21. Rule24 is preferred over Rule6. Rule3 is preferred over Rule22. Rule8 is preferred over Rule13. Rule9 is preferred over Rule14. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the finch capture the king of the pigeon? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:084", "request": "A few players are playing a boardgame. The current state of the game is as follows. The elk has a card that is white in color. The elk suspects the truthfulness of the starling. The husky lost her keys. The leopard has 51 dollars. The mannikin has a card that is white in color. The mannikin has a football with a radius of 27 inches. The ostrich has 40 dollars. The pelikan has a basketball with a diameter of 18 inches, has a cell phone, and is a farm worker. The stork has a card that is orange in color. The stork smiles at the dolphin. The swan disarms the frog. The swallow does not bring an oil tank for the mermaid. And the rules of the game are as follows. Rule1: If at least one animal destroys the wall constructed by the vampire, then the husky does not invest in the company owned by the reindeer. Rule2: There exists an animal which invests in the company whose owner is the reindeer? Then the seahorse definitely invests in the company whose owner is the bear. Rule3: If you see that something hides the cards that she has from the coyote but does not manage to convince the seahorse, what can you certainly conclude? You can conclude that it acquires a photograph of the goose. Rule4: If there is evidence that one animal, no matter which one, calls the pigeon, then the stork surrenders to the swan undoubtedly. Rule5: If the swallow reveals something that is supposed to be a secret to the owl, then the owl destroys the wall constructed by the cobra. Rule6: The frog does not create a castle for the leopard whenever at least one animal captures the king of the dugong. Rule7: Here is an important piece of information about the mannikin: if it has more than two friends then it does not swim in the pool next to the house of the zebra for sure. Rule8: For the goose, if you have two pieces of evidence 1) the lizard acquires a photo of the goose and 2) the stork unites with the goose, then you can add \"goose will never enjoy the companionship of the goat\" to your conclusions. Rule9: Here is an important piece of information about the leopard: if it has more money than the ostrich then it captures the king (i.e. the most important piece) of the dugong for sure. Rule10: If something does not surrender to the liger, then it does not manage to convince the seahorse. Rule11: There exists an animal which dances with the flamingo? Then, the bison definitely does not enjoy the companionship of the german shepherd. Rule12: If you are positive that one of the animals does not take over the emperor of the crow, you can be certain that it will unite with the goose without a doubt. Rule13: One of the rules of the game is that if the duck pays some $$$ to the lizard, then the lizard will, without hesitation, surrender to the liger. Rule14: From observing that one animal suspects the truthfulness of the starling, one can conclude that it also reveals a secret to the stork, undoubtedly. Rule15: This is a basic rule: if the frog negotiates a deal with the stork, then the conclusion that \"the stork will not take over the emperor of the crow\" follows immediately and effectively. Rule16: This is a basic rule: if the goose does not enjoy the company of the goat, then the conclusion that the goat will not reveal a secret to the akita follows immediately and effectively. Rule17: If something hides the cards that she has from the stork, then it surrenders to the worm, too. Rule18: Here is an important piece of information about the elk: if it has a card with a primary color then it does not reveal something that is supposed to be a secret to the stork for sure. Rule19: This is a basic rule: if the cobra hides her cards from the lizard, then the conclusion that \"the lizard hides her cards from the coyote\" follows immediately and effectively. Rule20: Here is an important piece of information about the husky: if it does not have her keys then it invests in the company whose owner is the reindeer for sure. Rule21: The lizard does not surrender to the liger whenever at least one animal invests in the company owned by the bear. Rule22: If you are positive that you saw one of the animals swims inside the pool located besides the house of the zebra, you can be certain that it will also call the pigeon. Rule23: This is a basic rule: if the swan disarms the frog, then the conclusion that \"the frog hides her cards from the stork\" follows immediately and effectively. Rule24: If something does not bring an oil tank for the mermaid, then it reveals something that is supposed to be a secret to the owl. Rule25: This is a basic rule: if the pelikan unites with the bison, then the conclusion that \"the bison enjoys the companionship of the german shepherd\" follows immediately and effectively. Rule26: The stork will shout at the chinchilla if it (the stork) has a card whose color is one of the rainbow colors. Rule27: If you are positive that you saw one of the animals surrenders to the worm, you can be certain that it will also negotiate a deal with the stork. Rule28: Regarding the elk, if it has more than six friends, then we can conclude that it does not reveal something that is supposed to be a secret to the stork. Rule29: Regarding the mannikin, if it has a football that fits in a 57.1 x 60.7 x 62.3 inches box, then we can conclude that it swims in the pool next to the house of the zebra. Rule30: Here is an important piece of information about the pelikan: if it has a device to connect to the internet then it unites with the bison for sure. Rule31: If at least one animal enjoys the companionship of the german shepherd, then the cobra hides her cards from the lizard. Rule32: If the basenji invests in the company owned by the owl, then the owl is not going to destroy the wall built by the cobra. Rule33: Regarding the mannikin, if it has a card whose color is one of the rainbow colors, then we can conclude that it swims in the pool next to the house of the zebra. Rule34: If you are positive that you saw one of the animals shouts at the chinchilla, you can be certain that it will not shout at the chihuahua. Rule35: The goose unquestionably enjoys the company of the goat, in the case where the vampire calls the goose. Rule36: If you are positive that one of the animals does not shout at the chihuahua, you can be certain that it will not surrender to the swan. Rule37: This is a basic rule: if the beaver unites with the seahorse, then the conclusion that \"the seahorse will not invest in the company owned by the bear\" follows immediately and effectively. Rule1 is preferred over Rule20. Rule11 is preferred over Rule25. Rule13 is preferred over Rule21. Rule18 is preferred over Rule14. Rule28 is preferred over Rule14. Rule32 is preferred over Rule5. Rule35 is preferred over Rule8. Rule37 is preferred over Rule2. Rule4 is preferred over Rule36. Rule7 is preferred over Rule29. Rule7 is preferred over Rule33. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the goat reveal a secret to the akita? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:091", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dragonfly takes over the emperor of the duck. The mannikin has three friends that are loyal and 7 friends that are not. The mouse is watching a movie from 1920. The mouse is currently in Cape Town. The wolf unites with the llama. And the rules of the game are as follows. Rule1: If at least one animal brings an oil tank for the basenji, then the dalmatian invests in the company owned by the shark. Rule2: If the mouse is in Canada at the moment, then the mouse manages to convince the camel. Rule3: If something does not shout at the goose, then it does not disarm the gadwall. Rule4: Here is an important piece of information about the mannikin: if it has more than 1 friend then it disarms the gadwall for sure. Rule5: If there is evidence that one animal, no matter which one, neglects the camel, then the shark creates one castle for the swallow undoubtedly. Rule6: There exists an animal which falls on a square that belongs to the coyote? Then the poodle definitely neglects the dolphin. Rule7: If something disarms the gadwall, then it hugs the flamingo, too. Rule8: The living creature that unites with the llama will never bring an oil tank for the bear. Rule9: This is a basic rule: if the wolf does not bring an oil tank for the bear, then the conclusion that the bear wants to see the frog follows immediately and effectively. Rule10: If something manages to persuade the camel, then it falls on a square that belongs to the coyote, too. Rule11: If something does not create a castle for the swallow, then it does not refuse to help the dinosaur. Rule12: If at least one animal wants to see the frog, then the mannikin creates a castle for the camel. Rule13: For the shark, if you have two pieces of evidence 1) the dalmatian invests in the company whose owner is the shark and 2) the camel destroys the wall built by the shark, then you can add \"shark will never create a castle for the swallow\" to your conclusions. Rule14: From observing that one animal neglects the dolphin, one can conclude that it also brings an oil tank for the basenji, undoubtedly. Rule15: If the dragonfly takes over the emperor of the duck, then the duck calls the mannikin. Rule16: This is a basic rule: if the gadwall builds a power plant close to the green fields of the camel, then the conclusion that \"the camel will not destroy the wall constructed by the shark\" follows immediately and effectively. Rule17: One of the rules of the game is that if the duck calls the mannikin, then the mannikin will, without hesitation, pay money to the crow. Rule18: Regarding the mouse, if it is watching a movie that was released after world war 1 started, then we can conclude that it manages to persuade the camel. Rule19: From observing that an animal trades one of the pieces in its possession with the dove, one can conclude the following: that animal does not bring an oil tank for the basenji. Rule20: If something calls the mermaid, then it destroys the wall built by the shark, too. Rule21: The camel unquestionably calls the mermaid, in the case where the mannikin creates a castle for the camel. Rule16 is preferred over Rule20. Rule19 is preferred over Rule14. Rule3 is preferred over Rule4. Rule5 is preferred over Rule13. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the shark refuse to help the dinosaur? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:092", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant creates one castle for the seahorse. The beaver has a 12 x 13 inches notebook. The beaver was born 3 and a half years ago. The bee invests in the company whose owner is the poodle. The chinchilla pays money to the finch. The cobra has 78 dollars. The dachshund is a marketing manager. The german shepherd dances with the butterfly. The leopard has 58 dollars. The pelikan is named Mojo. The seal has 43 dollars. The stork has 71 dollars, and has a hot chocolate. The swallow has a card that is indigo in color, and does not create one castle for the bison. The swallow is currently in Egypt. The walrus is named Milo. The wolf has 5 friends, and has 97 dollars. The wolf has a card that is white in color. The zebra struggles to find food. And the rules of the game are as follows. Rule1: If at least one animal pays some $$$ to the finch, then the zebra hides the cards that she has from the mermaid. Rule2: This is a basic rule: if the monkey does not surrender to the lizard, then the conclusion that the lizard surrenders to the dinosaur follows immediately and effectively. Rule3: The walrus will swear to the bear if it (the walrus) has a name whose first letter is the same as the first letter of the pelikan's name. Rule4: One of the rules of the game is that if the peafowl disarms the liger, then the liger will, without hesitation, bring an oil tank for the dolphin. Rule5: The living creature that manages to persuade the dugong will never disarm the chihuahua. Rule6: From observing that one animal swears to the bear, one can conclude that it also smiles at the gadwall, undoubtedly. Rule7: Regarding the wolf, if it has a card whose color starts with the letter \"w\", then we can conclude that it unites with the pigeon. Rule8: If there is evidence that one animal, no matter which one, refuses to help the beetle, then the badger is not going to reveal a secret to the mannikin. Rule9: If the worm does not reveal something that is supposed to be a secret to the monkey, then the monkey does not surrender to the lizard. Rule10: This is a basic rule: if the chihuahua does not leave the houses occupied by the gorilla, then the conclusion that the gorilla reveals something that is supposed to be a secret to the worm follows immediately and effectively. Rule11: If at least one animal hides her cards from the mermaid, then the mouse disarms the chihuahua. Rule12: The living creature that neglects the reindeer will never reveal something that is supposed to be a secret to the monkey. Rule13: The frog unquestionably neglects the crab, in the case where the dachshund does not tear down the castle that belongs to the frog. Rule14: The zebra will not hide her cards from the mermaid if it (the zebra) is in Germany at the moment. Rule15: If something does not want to see the owl, then it builds a power plant close to the green fields of the badger. Rule16: The chihuahua does not leave the houses occupied by the gorilla, in the case where the mouse disarms the chihuahua. Rule17: If the stork does not suspect the truthfulness of the leopard, then the leopard refuses to help the beetle. Rule18: One of the rules of the game is that if the beaver invests in the company whose owner is the swallow, then the swallow will never call the beaver. Rule19: If you are positive that one of the animals does not disarm the fangtooth, you can be certain that it will not surrender to the swallow. Rule20: If you are positive that you saw one of the animals builds a power plant close to the green fields of the badger, you can be certain that it will also hug the mannikin. Rule21: The crab unquestionably brings an oil tank for the akita, in the case where the frog neglects the crab. Rule22: Regarding the dachshund, if it works in marketing, then we can conclude that it does not tear down the castle of the frog. Rule23: In order to conclude that worm does not reveal a secret to the monkey, two pieces of evidence are required: firstly the gorilla reveals something that is supposed to be a secret to the worm and secondly the elk enjoys the company of the worm. Rule24: If the stork has something to drink, then the stork does not suspect the truthfulness of the leopard. Rule25: If something unites with the pigeon, then it surrenders to the swallow, too. Rule26: The monkey does not disarm the owl, in the case where the swallow swims in the pool next to the house of the monkey. Rule27: The swallow unquestionably reveals a secret to the monkey, in the case where the flamingo neglects the swallow. Rule28: The peafowl disarms the liger whenever at least one animal dances with the butterfly. Rule29: This is a basic rule: if the goat surrenders to the elk, then the conclusion that \"the elk will not enjoy the company of the worm\" follows immediately and effectively. Rule30: From observing that an animal does not create a castle for the bison, one can conclude that it reveals a secret to the reindeer. Rule31: The chihuahua unquestionably leaves the houses occupied by the gorilla, in the case where the shark suspects the truthfulness of the chihuahua. Rule32: If the cougar hugs the mannikin, then the mannikin is not going to bring an oil tank for the worm. Rule33: One of the rules of the game is that if the dove does not pay money to the badger, then the badger will, without hesitation, reveal a secret to the mannikin. Rule34: Regarding the zebra, if it has access to an abundance of food, then we can conclude that it does not hide her cards from the mermaid. Rule35: The goat surrenders to the elk whenever at least one animal brings an oil tank for the dolphin. Rule36: Regarding the stork, if it has more money than the seal and the leopard combined, then we can conclude that it does not suspect the truthfulness of the leopard. Rule37: Regarding the wolf, if it has more than ten friends, then we can conclude that it unites with the pigeon. Rule38: The starling takes over the emperor of the leopard whenever at least one animal creates a castle for the seahorse. Rule39: If you see that something disarms the owl but does not pay money to the liger, what can you certainly conclude? You can conclude that it surrenders to the lizard. Rule40: The living creature that does not call the beaver will neglect the reindeer with no doubts. Rule41: If at least one animal invests in the company whose owner is the poodle, then the cougar does not want to see the owl. Rule42: Here is an important piece of information about the swallow: if it has a card whose color is one of the rainbow colors then it does not reveal a secret to the reindeer for sure. Rule43: This is a basic rule: if the mannikin does not bring an oil tank for the worm, then the conclusion that the worm reveals something that is supposed to be a secret to the monkey follows immediately and effectively. Rule44: If at least one animal brings an oil tank for the akita, then the elk enjoys the company of the worm. Rule45: If the swallow does not reveal something that is supposed to be a secret to the monkey, then the monkey disarms the owl. Rule46: Regarding the beaver, if it has a notebook that fits in a 13.9 x 14.8 inches box, then we can conclude that it invests in the company whose owner is the swallow. Rule14 is preferred over Rule1. Rule19 is preferred over Rule25. Rule23 is preferred over Rule43. Rule26 is preferred over Rule45. Rule27 is preferred over Rule12. Rule30 is preferred over Rule42. Rule31 is preferred over Rule16. Rule33 is preferred over Rule8. Rule34 is preferred over Rule1. Rule39 is preferred over Rule9. Rule44 is preferred over Rule29. Rule5 is preferred over Rule11. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the lizard surrender to the dinosaur? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:093", "request": "A few players are playing a boardgame. The current state of the game is as follows. The basenji is named Cinnamon. The beetle is a sales manager. The bison has a football with a radius of 26 inches. The bison is a dentist. The butterfly destroys the wall constructed by the seahorse. The crab hugs the cougar. The dolphin is named Chickpea. The dove acquires a photograph of the frog. The dragon was born 3 years ago. The dragonfly smiles at the snake. The dugong is named Casper. The german shepherd trades one of its pieces with the crow. The gorilla stops the victory of the beetle. The lizard unites with the starling. The llama is a sales manager. The monkey got a well-paid job. The monkey is a dentist. The mouse refuses to help the songbird. The mule acquires a photograph of the chihuahua. The mule is named Bella. The pigeon brings an oil tank for the mermaid. The starling is named Pablo. The walrus has 1 friend. The walrus is currently in Nigeria. The flamingo does not stop the victory of the chinchilla. And the rules of the game are as follows. Rule1: The walrus will swim inside the pool located besides the house of the akita if it (the walrus) is in Africa at the moment. Rule2: The mule will not hug the woodpecker if it (the mule) is watching a movie that was released before the French revolution began. Rule3: There exists an animal which captures the king (i.e. the most important piece) of the worm? Then the pelikan definitely destroys the wall built by the liger. Rule4: There exists an animal which neglects the finch? Then the dolphin definitely falls on a square of the beetle. Rule5: From observing that an animal neglects the german shepherd, one can conclude the following: that animal does not suspect the truthfulness of the dolphin. Rule6: From observing that an animal does not want to see the peafowl, one can conclude the following: that animal will not destroy the wall built by the goose. Rule7: If the lizard unites with the starling, then the starling suspects the truthfulness of the dachshund. Rule8: The mannikin does not pay money to the stork whenever at least one animal builds a power plant close to the green fields of the badger. Rule9: If the german shepherd trades one of the pieces in its possession with the crow, then the crow is not going to disarm the beetle. Rule10: If you are positive that you saw one of the animals surrenders to the owl, you can be certain that it will also call the coyote. Rule11: If there is evidence that one animal, no matter which one, acquires a photo of the frog, then the goose captures the king of the worm undoubtedly. Rule12: The leopard shouts at the shark whenever at least one animal wants to see the dragonfly. Rule13: The camel does not want to see the gadwall, in the case where the cougar acquires a photograph of the camel. Rule14: If at least one animal destroys the wall built by the dinosaur, then the bee neglects the finch. Rule15: If the monkey works in computer science and engineering, then the monkey swims in the pool next to the house of the cobra. Rule16: From observing that one animal creates one castle for the vampire, one can conclude that it also refuses to help the mannikin, undoubtedly. Rule17: This is a basic rule: if the mouse refuses to help the songbird, then the conclusion that \"the songbird takes over the emperor of the dalmatian\" follows immediately and effectively. Rule18: The cougar unquestionably acquires a photograph of the camel, in the case where the crab hugs the cougar. Rule19: From observing that an animal does not fall on a square of the seahorse, one can conclude the following: that animal will not suspect the truthfulness of the otter. Rule20: If something negotiates a deal with the chihuahua, then it does not call the coyote. Rule21: Here is an important piece of information about the walrus: if it has more than six friends then it swims inside the pool located besides the house of the akita for sure. Rule22: If something does not shout at the pigeon, then it pays some $$$ to the butterfly. Rule23: If you are positive that you saw one of the animals manages to persuade the swan, you can be certain that it will also surrender to the owl. Rule24: The living creature that acquires a photo of the badger will never take over the emperor of the husky. Rule25: If there is evidence that one animal, no matter which one, creates a castle for the ant, then the husky is not going to unite with the peafowl. Rule26: The dragon will tear down the castle that belongs to the swallow if it (the dragon) is more than 1 and a half years old. Rule27: From observing that one animal refuses to help the fish, one can conclude that it also calls the beaver, undoubtedly. Rule28: The living creature that invests in the company owned by the goat will never create a castle for the vampire. Rule29: If something tears down the castle of the swallow, then it negotiates a deal with the bulldog, too. Rule30: If you are positive that you saw one of the animals calls the beaver, you can be certain that it will also suspect the truthfulness of the dolphin. Rule31: From observing that one animal stops the victory of the chihuahua, one can conclude that it also unites with the mannikin, undoubtedly. Rule32: If the poodle does not surrender to the husky, then the husky destroys the wall constructed by the goose. Rule33: From observing that an animal does not stop the victory of the chinchilla, one can conclude that it creates a castle for the chinchilla. Rule34: If something reveals a secret to the lizard, then it does not shout at the pigeon. Rule35: If the dolphin refuses to help the mannikin and the seahorse unites with the mannikin, then the mannikin pays some $$$ to the stork. Rule36: If you are positive that you saw one of the animals swears to the rhino, you can be certain that it will not swim inside the pool located besides the house of the akita. Rule37: One of the rules of the game is that if the monkey swims inside the pool located besides the house of the cobra, then the cobra will, without hesitation, tear down the castle that belongs to the dolphin. Rule38: The monkey will swim inside the pool located besides the house of the cobra if it (the monkey) has a high salary. Rule39: One of the rules of the game is that if the bear takes over the emperor of the husky, then the husky will, without hesitation, unite with the peafowl. Rule40: This is a basic rule: if the cougar manages to persuade the camel, then the conclusion that \"the camel will not want to see the dragonfly\" follows immediately and effectively. Rule41: From observing that an animal invests in the company whose owner is the seal, one can conclude the following: that animal does not stop the victory of the chihuahua. Rule42: One of the rules of the game is that if the butterfly destroys the wall constructed by the seahorse, then the seahorse will, without hesitation, manage to persuade the swan. Rule43: One of the rules of the game is that if the flamingo creates a castle for the chinchilla, then the chinchilla will, without hesitation, reveal something that is supposed to be a secret to the shark. Rule44: If the llama works in marketing, then the llama destroys the wall built by the dinosaur. Rule45: If there is evidence that one animal, no matter which one, destroys the wall built by the liger, then the poodle dances with the husky undoubtedly. Rule46: There exists an animal which invests in the company whose owner is the ostrich? Then the poodle definitely surrenders to the husky. Rule47: If something acquires a photograph of the reindeer, then it stops the victory of the chihuahua, too. Rule48: From observing that an animal does not want to see the gadwall, one can conclude that it wants to see the dragonfly. Rule49: One of the rules of the game is that if the elk neglects the dolphin, then the dolphin will, without hesitation, invest in the company whose owner is the goat. Rule50: Here is an important piece of information about the bison: if it works in healthcare then it does not destroy the wall constructed by the bear for sure. Rule51: Here is an important piece of information about the bison: if it has a football that fits in a 55.1 x 61.5 x 44.7 inches box then it does not destroy the wall constructed by the bear for sure. Rule52: The poodle shouts at the frog whenever at least one animal takes over the emperor of the dalmatian. Rule53: Here is an important piece of information about the starling: if it has a name whose first letter is the same as the first letter of the wolf's name then it does not suspect the truthfulness of the dachshund for sure. Rule54: If something does not suspect the truthfulness of the otter but enjoys the company of the beetle, then it creates one castle for the vampire. Rule55: The living creature that calls the coyote will also acquire a photograph of the reindeer, without a doubt. Rule56: The mermaid unquestionably negotiates a deal with the starling, in the case where the pigeon brings an oil tank for the mermaid. Rule57: If the mule has a name whose first letter is the same as the first letter of the dugong's name, then the mule does not hug the woodpecker. Rule58: The shark does not pay money to the butterfly, in the case where the leopard shouts at the shark. Rule59: One of the rules of the game is that if the cobra tears down the castle of the dolphin, then the dolphin will never fall on a square of the seahorse. Rule60: If something unites with the peafowl, then it does not want to see the peafowl. Rule61: The elk neglects the dolphin whenever at least one animal negotiates a deal with the bulldog. Rule62: The beetle unquestionably refuses to help the fish, in the case where the gorilla stops the victory of the beetle. Rule63: If you are positive that you saw one of the animals acquires a photograph of the zebra, you can be certain that it will also fall on a square that belongs to the seahorse. Rule64: If the bison does not destroy the wall built by the bear, then the bear takes over the emperor of the husky. Rule65: If something unites with the duck, then it swears to the fangtooth, too. Rule66: If at least one animal destroys the wall constructed by the goose, then the butterfly builds a power plant near the green fields of the badger. Rule67: The living creature that acquires a photograph of the chihuahua will also hug the woodpecker, without a doubt. Rule68: If something falls on a square of the beetle, then it enjoys the companionship of the beetle, too. Rule69: One of the rules of the game is that if the mermaid negotiates a deal with the starling, then the starling will, without hesitation, manage to convince the shark. Rule70: One of the rules of the game is that if the starling manages to persuade the shark, then the shark will, without hesitation, reveal a secret to the lizard. Rule71: From observing that an animal dances with the husky, one can conclude the following: that animal does not surrender to the husky. Rule72: Here is an important piece of information about the dolphin: if it has a name whose first letter is the same as the first letter of the basenji's name then it unites with the duck for sure. Rule2 is preferred over Rule67. Rule20 is preferred over Rule10. Rule22 is preferred over Rule58. Rule24 is preferred over Rule64. Rule25 is preferred over Rule39. Rule32 is preferred over Rule6. Rule35 is preferred over Rule8. Rule36 is preferred over Rule1. Rule36 is preferred over Rule21. Rule40 is preferred over Rule48. Rule41 is preferred over Rule47. Rule46 is preferred over Rule71. Rule5 is preferred over Rule30. Rule53 is preferred over Rule7. Rule54 is preferred over Rule28. Rule57 is preferred over Rule67. Rule63 is preferred over Rule59. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the mannikin pay money to the stork? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:095", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant reveals a secret to the cobra. The basenji has 9 friends. The basenji is watching a movie from 2007. The dolphin has a card that is red in color. The gorilla wants to see the dalmatian. The mannikin has a card that is black in color, and is a marketing manager. The mannikin supports Chris Ronaldo. The mermaid is named Paco. The mouse is named Peddi, and parked her bike in front of the store. The mouse is watching a movie from 1945. The mule has a football with a radius of 17 inches, and will turn nine months old in a few minutes. The mule is a physiotherapist. The dugong does not surrender to the dolphin. And the rules of the game are as follows. Rule1: Regarding the basenji, if it has fewer than 8 friends, then we can conclude that it pays money to the swallow. Rule2: Regarding the basenji, if it is watching a movie that was released after SpaceX was founded, then we can conclude that it pays some $$$ to the swallow. Rule3: The living creature that acquires a photograph of the bulldog will never suspect the truthfulness of the reindeer. Rule4: The living creature that does not negotiate a deal with the seal will never negotiate a deal with the wolf. Rule5: If the dachshund does not take over the emperor of the starling, then the starling takes over the emperor of the pelikan. Rule6: This is a basic rule: if the mouse swears to the dachshund, then the conclusion that \"the dachshund will not take over the emperor of the starling\" follows immediately and effectively. Rule7: If you are positive that you saw one of the animals invests in the company owned by the shark, you can be certain that it will not hug the rhino. Rule8: If at least one animal trades one of the pieces in its possession with the ostrich, then the dugong invests in the company owned by the rhino. Rule9: Regarding the mule, if it works in healthcare, then we can conclude that it hides her cards from the owl. Rule10: The mouse will not swear to the dachshund if it (the mouse) took a bike from the store. Rule11: If you are positive that you saw one of the animals surrenders to the fish, you can be certain that it will also negotiate a deal with the seal. Rule12: If the pelikan neglects the crab and the rhino stops the victory of the crab, then the crab calls the goose. Rule13: The living creature that manages to persuade the badger will never invest in the company whose owner is the shark. Rule14: One of the rules of the game is that if the starling takes over the emperor of the pelikan, then the pelikan will never negotiate a deal with the seal. Rule15: One of the rules of the game is that if the basenji does not hug the rhino, then the rhino will never shout at the songbird. Rule16: Here is an important piece of information about the mannikin: if it is a fan of Chris Ronaldo then it trades one of the pieces in its possession with the ostrich for sure. Rule17: If there is evidence that one animal, no matter which one, wants to see the dalmatian, then the basenji invests in the company whose owner is the shark undoubtedly. Rule18: If something builds a power plant close to the green fields of the walrus, then it does not take over the emperor of the pelikan. Rule19: The dragonfly hugs the goat whenever at least one animal hides her cards from the owl. Rule20: The dachshund unquestionably takes over the emperor of the starling, in the case where the akita pays money to the dachshund. Rule21: If you see that something does not negotiate a deal with the wolf and also does not suspect the truthfulness of the reindeer, what can you certainly conclude? You can conclude that it also neglects the crab. Rule22: If the fangtooth builds a power plant close to the green fields of the pelikan, then the pelikan acquires a photo of the bulldog. Rule23: The dolphin unquestionably smiles at the dugong, in the case where the dugong does not surrender to the dolphin. Rule24: Here is an important piece of information about the mouse: if it has a name whose first letter is the same as the first letter of the mermaid's name then it swears to the dachshund for sure. Rule25: If there is evidence that one animal, no matter which one, reveals a secret to the cobra, then the german shepherd reveals something that is supposed to be a secret to the starling undoubtedly. Rule26: If the german shepherd reveals a secret to the starling, then the starling builds a power plant close to the green fields of the walrus. Rule27: One of the rules of the game is that if the swan enjoys the companionship of the rhino, then the rhino will never bring an oil tank for the chihuahua. Rule28: From observing that one animal brings an oil tank for the chihuahua, one can conclude that it also stops the victory of the crab, undoubtedly. Rule29: From observing that an animal does not shout at the songbird, one can conclude that it suspects the truthfulness of the swallow. Rule30: The fangtooth builds a power plant close to the green fields of the pelikan whenever at least one animal hugs the goat. Rule31: From observing that one animal suspects the truthfulness of the swallow, one can conclude that it also brings an oil tank for the chihuahua, undoubtedly. Rule32: If at least one animal captures the king of the poodle, then the rhino does not stop the victory of the crab. Rule33: The mule will hide her cards from the owl if it (the mule) has a football that fits in a 42.6 x 28.5 x 44.7 inches box. Rule34: The living creature that swims inside the pool located besides the house of the fangtooth will never neglect the crab. Rule11 is preferred over Rule14. Rule13 is preferred over Rule17. Rule20 is preferred over Rule6. Rule24 is preferred over Rule10. Rule27 is preferred over Rule31. Rule32 is preferred over Rule28. Rule34 is preferred over Rule21. Rule5 is preferred over Rule18. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the crab call the goose? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:096", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog has a football with a radius of 18 inches. The bulldog is watching a movie from 1999. The coyote creates one castle for the dugong. The fish tears down the castle that belongs to the chinchilla. The flamingo reduced her work hours recently. The gorilla has a cappuccino, and is currently in Ottawa. The songbird swears to the shark. The swan refuses to help the gadwall. The walrus has a 17 x 10 inches notebook. The walrus has nine friends. The zebra was born three and a half years ago. The crow does not surrender to the mannikin. And the rules of the game are as follows. Rule1: If something does not shout at the leopard, then it does not invest in the company owned by the vampire. Rule2: This is a basic rule: if the zebra does not destroy the wall constructed by the dinosaur, then the conclusion that the dinosaur enjoys the company of the seahorse follows immediately and effectively. Rule3: The mouse refuses to help the dove whenever at least one animal takes over the emperor of the llama. Rule4: There exists an animal which tears down the castle of the chinchilla? Then the liger definitely destroys the wall constructed by the beetle. Rule5: There exists an animal which creates a castle for the dugong? Then the flamingo definitely swears to the gorilla. Rule6: Regarding the zebra, if it is more than 77 days old, then we can conclude that it does not destroy the wall constructed by the dinosaur. Rule7: The living creature that stops the victory of the cougar will also smile at the cougar, without a doubt. Rule8: Regarding the bulldog, if it has a football that fits in a 37.3 x 38.1 x 43.2 inches box, then we can conclude that it swears to the chihuahua. Rule9: If something shouts at the goose, then it does not capture the king of the dinosaur. Rule10: If at least one animal smiles at the cougar, then the bee does not stop the victory of the beaver. Rule11: For the akita, if you have two pieces of evidence 1) the dugong borrows a weapon from the akita and 2) the seahorse refuses to help the akita, then you can add \"akita tears down the castle that belongs to the dalmatian\" to your conclusions. Rule12: Here is an important piece of information about the gorilla: if it has something to drink then it leaves the houses occupied by the dachshund for sure. Rule13: If the bulldog is watching a movie that was released after Justin Trudeau became the prime minister of Canada, then the bulldog swears to the chihuahua. Rule14: If there is evidence that one animal, no matter which one, refuses to help the badger, then the dove takes over the emperor of the llama undoubtedly. Rule15: From observing that one animal unites with the stork, one can conclude that it also negotiates a deal with the worm, undoubtedly. Rule16: There exists an animal which destroys the wall constructed by the owl? Then the butterfly definitely captures the king (i.e. the most important piece) of the dinosaur. Rule17: From observing that one animal tears down the castle of the dalmatian, one can conclude that it also destroys the wall built by the flamingo, undoubtedly. Rule18: If the mule swears to the bee, then the bee stops the victory of the beaver. Rule19: If you are positive that you saw one of the animals suspects the truthfulness of the zebra, you can be certain that it will not refuse to help the akita. Rule20: If something destroys the wall constructed by the beetle, then it stops the victory of the cougar, too. Rule21: From observing that one animal leaves the houses occupied by the dachshund, one can conclude that it also pays money to the crab, undoubtedly. Rule22: There exists an animal which refuses to help the gadwall? Then the ant definitely enjoys the company of the dolphin. Rule23: If you are positive that one of the animals does not build a power plant close to the green fields of the duck, you can be certain that it will not leave the houses occupied by the dragon. Rule24: If the beaver refuses to help the akita, then the akita reveals a secret to the butterfly. Rule25: The seahorse unquestionably refuses to help the akita, in the case where the dragon acquires a photo of the seahorse. Rule26: The otter destroys the wall constructed by the owl whenever at least one animal negotiates a deal with the worm. Rule27: Here is an important piece of information about the walrus: if it has fewer than sixteen friends then it refuses to help the badger for sure. Rule28: One of the rules of the game is that if the bulldog leaves the houses occupied by the dragon, then the dragon will, without hesitation, acquire a photograph of the seahorse. Rule29: If there is evidence that one animal, no matter which one, invests in the company whose owner is the vampire, then the dugong borrows a weapon from the akita undoubtedly. Rule30: From observing that an animal refuses to help the seal, one can conclude the following: that animal does not manage to persuade the beaver. Rule31: The walrus will refuse to help the badger if it (the walrus) has a notebook that fits in a 13.9 x 8.6 inches box. Rule32: If something does not hug the seal, then it does not call the peafowl. Rule33: The fangtooth invests in the company whose owner is the vampire whenever at least one animal pays some $$$ to the crab. Rule34: If something swears to the chihuahua, then it leaves the houses occupied by the dragon, too. Rule35: One of the rules of the game is that if the mouse manages to persuade the beaver, then the beaver will, without hesitation, refuse to help the akita. Rule36: If you are positive that you saw one of the animals enjoys the company of the dolphin, you can be certain that it will also unite with the stork. Rule37: If at least one animal captures the king of the dinosaur, then the akita does not destroy the wall constructed by the flamingo. Rule38: If you see that something destroys the wall constructed by the flamingo and reveals a secret to the butterfly, what can you certainly conclude? You can conclude that it also calls the peafowl. Rule39: Here is an important piece of information about the gorilla: if it is in France at the moment then it leaves the houses occupied by the dachshund for sure. Rule40: One of the rules of the game is that if the rhino does not refuse to help the bulldog, then the bulldog will never swear to the chihuahua. Rule41: The seahorse unquestionably suspects the truthfulness of the zebra, in the case where the dinosaur enjoys the companionship of the seahorse. Rule42: The dragon does not acquire a photograph of the seahorse whenever at least one animal neglects the husky. Rule43: There exists an animal which swears to the shark? Then the mannikin definitely manages to persuade the starling. Rule44: From observing that one animal refuses to help the dove, one can conclude that it also manages to persuade the beaver, undoubtedly. Rule1 is preferred over Rule33. Rule17 is preferred over Rule37. Rule18 is preferred over Rule10. Rule23 is preferred over Rule34. Rule25 is preferred over Rule19. Rule30 is preferred over Rule44. Rule32 is preferred over Rule38. Rule40 is preferred over Rule13. Rule40 is preferred over Rule8. Rule42 is preferred over Rule28. Rule9 is preferred over Rule16. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the akita call the peafowl? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:112", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog has a card that is green in color. The cougar enjoys the company of the snake. The fangtooth borrows one of the weapons of the dove. The fish shouts at the crab. The leopard will turn 15 months old in a few minutes. The pigeon has a basketball with a diameter of 17 inches, and has a beer. The poodle is named Cinnamon. The poodle is currently in Rome. The woodpecker leaves the houses occupied by the pigeon. The worm is named Casper. The camel does not create one castle for the dragonfly. And the rules of the game are as follows. Rule1: Here is an important piece of information about the poodle: if it has difficulty to find food then it neglects the camel for sure. Rule2: The vampire acquires a photograph of the dugong whenever at least one animal invests in the company whose owner is the pelikan. Rule3: From observing that one animal enjoys the company of the dalmatian, one can conclude that it also falls on a square of the dove, undoubtedly. Rule4: The camel will not smile at the zebra if it (the camel) has a card whose color starts with the letter \"w\". Rule5: If the poodle is in Canada at the moment, then the poodle does not neglect the camel. Rule6: If the elk does not refuse to help the leopard, then the leopard takes over the emperor of the duck. Rule7: If something captures the king of the mouse, then it does not take over the emperor of the duck. Rule8: If the finch does not disarm the duck, then the duck destroys the wall built by the wolf. Rule9: If you are positive that one of the animals does not acquire a photo of the crow, you can be certain that it will not surrender to the ostrich. Rule10: Be careful when something swims inside the pool located besides the house of the worm but does not surrender to the akita because in this case it will, surely, unite with the llama (this may or may not be problematic). Rule11: One of the rules of the game is that if the mule wants to see the leopard, then the leopard will, without hesitation, surrender to the ostrich. Rule12: If something does not build a power plant close to the green fields of the dinosaur, then it does not destroy the wall constructed by the wolf. Rule13: If at least one animal acquires a photograph of the dugong, then the duck does not unite with the llama. Rule14: This is a basic rule: if the duck does not unite with the llama, then the conclusion that the llama trades one of the pieces in its possession with the ant follows immediately and effectively. Rule15: If you are positive that you saw one of the animals invests in the company owned by the bison, you can be certain that it will not suspect the truthfulness of the chihuahua. Rule16: There exists an animal which builds a power plant close to the green fields of the german shepherd? Then the finch definitely hides the cards that she has from the akita. Rule17: If at least one animal falls on a square of the reindeer, then the leopard captures the king (i.e. the most important piece) of the mouse. Rule18: The crab unquestionably enjoys the company of the liger, in the case where the fish shouts at the crab. Rule19: Regarding the poodle, if it has a name whose first letter is the same as the first letter of the worm's name, then we can conclude that it does not neglect the camel. Rule20: There exists an animal which enjoys the company of the liger? Then the mannikin definitely suspects the truthfulness of the chihuahua. Rule21: This is a basic rule: if the woodpecker leaves the houses occupied by the pigeon, then the conclusion that \"the pigeon will not trade one of the pieces in its possession with the gorilla\" follows immediately and effectively. Rule22: Here is an important piece of information about the leopard: if it is less than 4 years old then it does not acquire a photograph of the crow for sure. Rule23: This is a basic rule: if the mannikin suspects the truthfulness of the chihuahua, then the conclusion that \"the chihuahua swears to the butterfly\" follows immediately and effectively. Rule24: There exists an animal which borrows one of the weapons of the dove? Then the bulldog definitely refuses to help the songbird. Rule25: One of the rules of the game is that if the camel disarms the finch, then the finch will never disarm the duck. Rule26: There exists an animal which refuses to help the songbird? Then the gadwall definitely enjoys the company of the dalmatian. Rule27: For the duck, if the belief is that the coyote reveals a secret to the duck and the leopard does not take over the emperor of the duck, then you can add \"the duck swims in the pool next to the house of the worm\" to your conclusions. Rule28: If the cougar enjoys the company of the snake, then the snake builds a power plant close to the green fields of the german shepherd. Rule29: If at least one animal swears to the butterfly, then the bee invests in the company owned by the pelikan. Rule30: If something captures the king (i.e. the most important piece) of the seal, then it does not hide her cards from the akita. Rule31: The living creature that smiles at the zebra will also disarm the finch, without a doubt. Rule32: If there is evidence that one animal, no matter which one, falls on a square that belongs to the dove, then the coyote reveals something that is supposed to be a secret to the duck undoubtedly. Rule33: If the pigeon does not trade one of its pieces with the gorilla, then the gorilla falls on a square of the reindeer. Rule34: If something does not create one castle for the dragonfly, then it smiles at the zebra. Rule35: One of the rules of the game is that if the swallow borrows a weapon from the llama, then the llama will never trade one of its pieces with the ant. Rule1 is preferred over Rule19. Rule1 is preferred over Rule5. Rule10 is preferred over Rule13. Rule11 is preferred over Rule9. Rule12 is preferred over Rule8. Rule15 is preferred over Rule20. Rule30 is preferred over Rule16. Rule35 is preferred over Rule14. Rule4 is preferred over Rule34. Rule6 is preferred over Rule7. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the llama trade one of its pieces with the ant? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:115", "request": "A few players are playing a boardgame. The current state of the game is as follows. The cougar hides the cards that she has from the basenji. The monkey has a violin, and is a teacher assistant. The rhino is watching a movie from 2022, and is 12 months old. The walrus tears down the castle that belongs to the basenji. The wolf is watching a movie from 2012. The wolf is currently in Paris. The woodpecker pays money to the lizard. The bee does not borrow one of the weapons of the beetle. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the cobra tears down the castle of the mule, then the mule will never tear down the castle that belongs to the llama. Rule2: The coyote takes over the emperor of the pelikan whenever at least one animal trades one of the pieces in its possession with the german shepherd. Rule3: If there is evidence that one animal, no matter which one, builds a power plant near the green fields of the beaver, then the monkey is not going to stop the victory of the ostrich. Rule4: If at least one animal dances with the dragonfly, then the crab does not hide the cards that she has from the mule. Rule5: If the mule does not negotiate a deal with the fangtooth, then the fangtooth pays some $$$ to the bear. Rule6: If you are positive that you saw one of the animals reveals something that is supposed to be a secret to the snake, you can be certain that it will not hug the pigeon. Rule7: The fangtooth does not build a power plant near the green fields of the songbird whenever at least one animal calls the frog. Rule8: One of the rules of the game is that if the coyote takes over the emperor of the pelikan, then the pelikan will, without hesitation, call the frog. Rule9: The fangtooth does not pay money to the bear whenever at least one animal hugs the pigeon. Rule10: The living creature that falls on a square that belongs to the coyote will never call the frog. Rule11: The cougar does not hug the songbird whenever at least one animal pays money to the bear. Rule12: If at least one animal takes over the emperor of the dragon, then the wolf does not dance with the dragonfly. Rule13: If something invests in the company whose owner is the bulldog and does not tear down the castle that belongs to the llama, then it will not negotiate a deal with the fangtooth. Rule14: If the woodpecker pays money to the lizard, then the lizard captures the king of the cobra. Rule15: The wolf will dance with the dragonfly if it (the wolf) is in Turkey at the moment. Rule16: One of the rules of the game is that if the rhino shouts at the monkey, then the monkey will, without hesitation, trade one of its pieces with the german shepherd. Rule17: The cobra unquestionably tears down the castle of the mule, in the case where the lizard captures the king (i.e. the most important piece) of the cobra. Rule18: The songbird does not stop the victory of the dolphin whenever at least one animal refuses to help the goat. Rule19: From observing that one animal hides her cards from the ant, one can conclude that it also stops the victory of the ostrich, undoubtedly. Rule20: The beetle unquestionably tears down the castle that belongs to the crab, in the case where the bee does not borrow one of the weapons of the beetle. Rule21: In order to conclude that the songbird stops the victory of the dolphin, two pieces of evidence are required: firstly the cougar does not hug the songbird and secondly the fangtooth does not build a power plant near the green fields of the songbird. Rule22: The mule unquestionably invests in the company owned by the bulldog, in the case where the crab does not hide the cards that she has from the mule. Rule23: Regarding the rhino, if it is watching a movie that was released after covid started, then we can conclude that it does not smile at the leopard. Rule24: If there is evidence that one animal, no matter which one, shouts at the goat, then the goose hugs the pigeon undoubtedly. Rule25: The wolf will dance with the dragonfly if it (the wolf) is watching a movie that was released after Facebook was founded. Rule26: There exists an animal which brings an oil tank for the dachshund? Then, the mule definitely does not invest in the company whose owner is the bulldog. Rule27: The living creature that trades one of the pieces in its possession with the poodle will never tear down the castle that belongs to the mule. Rule28: From observing that an animal stops the victory of the ostrich, one can conclude the following: that animal does not trade one of the pieces in its possession with the german shepherd. Rule29: If the monkey works in education, then the monkey hides the cards that she has from the ant. Rule30: There exists an animal which surrenders to the chinchilla? Then the snake definitely shouts at the goat. Rule31: If something invests in the company owned by the fish, then it does not shout at the monkey. Rule32: The crab unquestionably hides the cards that she has from the mule, in the case where the beetle tears down the castle of the crab. Rule33: If something does not smile at the leopard, then it shouts at the monkey. Rule34: If something does not reveal something that is supposed to be a secret to the mouse, then it does not shout at the goat. Rule35: One of the rules of the game is that if the basenji takes over the emperor of the goat, then the goat will, without hesitation, surrender to the chinchilla. Rule36: One of the rules of the game is that if the walrus tears down the castle of the basenji, then the basenji will, without hesitation, take over the emperor of the goat. Rule37: If the rhino is more than four years old, then the rhino does not smile at the leopard. Rule10 is preferred over Rule8. Rule15 is preferred over Rule12. Rule16 is preferred over Rule28. Rule18 is preferred over Rule21. Rule25 is preferred over Rule12. Rule26 is preferred over Rule22. Rule27 is preferred over Rule17. Rule3 is preferred over Rule19. Rule31 is preferred over Rule33. Rule34 is preferred over Rule30. Rule4 is preferred over Rule32. Rule6 is preferred over Rule24. Rule9 is preferred over Rule5. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the songbird stop the victory of the dolphin? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:120", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant is a nurse. The bear enjoys the company of the mule. The dragonfly has a card that is yellow in color, and is a nurse. The llama manages to convince the dragon. The peafowl falls on a square of the beaver. The reindeer dances with the gorilla. The starling was born fifteen and a half months ago. The worm dances with the wolf. The wolf does not destroy the wall constructed by the swan. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the leopard stops the victory of the camel, then the camel will, without hesitation, create one castle for the finch. Rule2: There exists an animal which reveals something that is supposed to be a secret to the crab? Then the leopard definitely stops the victory of the camel. Rule3: One of the rules of the game is that if the dove captures the king of the chinchilla, then the chinchilla will never swear to the gadwall. Rule4: If you are positive that one of the animals does not tear down the castle that belongs to the ostrich, you can be certain that it will suspect the truthfulness of the swallow without a doubt. Rule5: One of the rules of the game is that if the worm dances with the wolf, then the wolf will never manage to persuade the worm. Rule6: If something refuses to help the starling, then it borrows one of the weapons of the dachshund, too. Rule7: One of the rules of the game is that if the reindeer dances with the gorilla, then the gorilla will, without hesitation, reveal something that is supposed to be a secret to the crab. Rule8: If there is evidence that one animal, no matter which one, suspects the truthfulness of the swallow, then the shark is not going to borrow one of the weapons of the chinchilla. Rule9: The basenji hides the cards that she has from the beaver whenever at least one animal falls on a square that belongs to the beaver. Rule10: The chinchilla unquestionably swears to the gadwall, in the case where the goat falls on a square of the chinchilla. Rule11: One of the rules of the game is that if the cougar reveals something that is supposed to be a secret to the leopard, then the leopard will never surrender to the akita. Rule12: One of the rules of the game is that if the seal dances with the akita, then the akita will never smile at the husky. Rule13: If there is evidence that one animal, no matter which one, calls the ostrich, then the poodle is not going to tear down the castle of the ostrich. Rule14: The dragonfly will negotiate a deal with the german shepherd if it (the dragonfly) works in healthcare. Rule15: There exists an animal which manages to persuade the dragon? Then the frog definitely destroys the wall built by the cougar. Rule16: If the chinchilla neglects the akita and the leopard does not surrender to the akita, then, inevitably, the akita smiles at the husky. Rule17: This is a basic rule: if the bear stops the victory of the dove, then the conclusion that \"the dove captures the king (i.e. the most important piece) of the chinchilla\" follows immediately and effectively. Rule18: Regarding the dragonfly, if it has a card with a primary color, then we can conclude that it negotiates a deal with the german shepherd. Rule19: If at least one animal negotiates a deal with the german shepherd, then the dalmatian neglects the butterfly. Rule20: From observing that an animal does not destroy the wall constructed by the swan, one can conclude that it manages to persuade the worm. Rule21: If you are positive that you saw one of the animals pays money to the monkey, you can be certain that it will also call the ostrich. Rule22: There exists an animal which neglects the butterfly? Then the mouse definitely swears to the cougar. Rule23: If you are positive that one of the animals does not hide the cards that she has from the mermaid, you can be certain that it will hide her cards from the lizard without a doubt. Rule24: The chinchilla unquestionably hides the cards that she has from the fangtooth, in the case where the starling surrenders to the chinchilla. Rule25: The camel does not create a castle for the finch, in the case where the wolf falls on a square that belongs to the camel. Rule26: Here is an important piece of information about the starling: if it is more than 35 weeks old then it surrenders to the chinchilla for sure. Rule27: Regarding the ant, if it works in healthcare, then we can conclude that it pays money to the monkey. Rule28: From observing that an animal enjoys the company of the mule, one can conclude the following: that animal does not hide the cards that she has from the mermaid. Rule29: If you are positive that you saw one of the animals hides the cards that she has from the fangtooth, you can be certain that it will also refuse to help the starling. Rule30: If you are positive that one of the animals does not create one castle for the finch, you can be certain that it will dance with the seahorse without a doubt. Rule31: From observing that one animal borrows one of the weapons of the dachshund, one can conclude that it also tears down the castle that belongs to the songbird, undoubtedly. Rule32: If something hides her cards from the lizard, then it stops the victory of the dove, too. Rule33: If there is evidence that one animal, no matter which one, dances with the seahorse, then the cougar reveals something that is supposed to be a secret to the leopard undoubtedly. Rule34: If something tears down the castle that belongs to the snake, then it does not reveal a secret to the leopard. Rule35: If you see that something tears down the castle of the songbird but does not swear to the gadwall, what can you certainly conclude? You can conclude that it does not neglect the akita. Rule36: If the shark does not borrow one of the weapons of the chinchilla, then the chinchilla neglects the akita. Rule37: If at least one animal destroys the wall constructed by the cougar, then the wolf falls on a square that belongs to the camel. Rule12 is preferred over Rule16. Rule25 is preferred over Rule1. Rule3 is preferred over Rule10. Rule34 is preferred over Rule33. Rule35 is preferred over Rule36. Rule5 is preferred over Rule20. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the akita smile at the husky? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:123", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dachshund has a 11 x 19 inches notebook. The dachshund is watching a movie from 2014. The dove builds a power plant near the green fields of the starling. The duck is a physiotherapist, and is currently in Rome. The gorilla pays money to the seal. The swan stops the victory of the seal. The woodpecker smiles at the crab. And the rules of the game are as follows. Rule1: If you see that something suspects the truthfulness of the gadwall and dances with the crow, what can you certainly conclude? You can conclude that it also negotiates a deal with the otter. Rule2: If you are positive that you saw one of the animals swears to the cougar, you can be certain that it will also acquire a photograph of the peafowl. Rule3: This is a basic rule: if the gorilla disarms the seahorse, then the conclusion that \"the seahorse disarms the cobra\" follows immediately and effectively. Rule4: The cobra falls on a square of the shark whenever at least one animal swims in the pool next to the house of the crow. Rule5: The fangtooth unquestionably swears to the cougar, in the case where the duck smiles at the fangtooth. Rule6: If the woodpecker smiles at the crab, then the crab brings an oil tank for the akita. Rule7: If something falls on a square that belongs to the shark, then it suspects the truthfulness of the german shepherd, too. Rule8: The duck will refuse to help the badger if it (the duck) is in Italy at the moment. Rule9: Regarding the duck, if it works in marketing, then we can conclude that it refuses to help the badger. Rule10: If the peafowl disarms the german shepherd, then the german shepherd dances with the crow. Rule11: The german shepherd unquestionably surrenders to the dolphin, in the case where the cobra suspects the truthfulness of the german shepherd. Rule12: The living creature that surrenders to the dolphin will also suspect the truthfulness of the gadwall, without a doubt. Rule13: The fangtooth does not swear to the cougar whenever at least one animal manages to persuade the dinosaur. Rule14: If you are positive that one of the animals does not manage to persuade the wolf, you can be certain that it will build a power plant close to the green fields of the bison without a doubt. Rule15: Here is an important piece of information about the dachshund: if it is watching a movie that was released before Facebook was founded then it does not build a power plant close to the green fields of the bison for sure. Rule16: There exists an animal which shouts at the dragon? Then the bison definitely swims inside the pool located besides the house of the crow. Rule17: If the crab brings an oil tank for the akita, then the akita enjoys the company of the cobra. Rule18: If something refuses to help the badger, then it smiles at the fangtooth, too. Rule19: There exists an animal which stops the victory of the seal? Then, the gorilla definitely does not disarm the seahorse. Rule20: If at least one animal disarms the llama, then the german shepherd does not surrender to the dolphin. Rule21: There exists an animal which builds a power plant near the green fields of the starling? Then the fish definitely shouts at the dragon. Rule22: The living creature that pays some $$$ to the seal will also disarm the seahorse, without a doubt. Rule23: Regarding the dachshund, if it has a basketball that fits in a 32.8 x 24.8 x 29.1 inches box, then we can conclude that it does not build a power plant near the green fields of the bison. Rule24: If the fangtooth acquires a photo of the peafowl, then the peafowl suspects the truthfulness of the german shepherd. Rule13 is preferred over Rule5. Rule14 is preferred over Rule15. Rule14 is preferred over Rule23. Rule20 is preferred over Rule11. Rule22 is preferred over Rule19. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the german shepherd negotiate a deal with the otter? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:124", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bear has a 15 x 15 inches notebook, and has a computer. The bear has a card that is green in color, and has a knapsack. The bear is watching a movie from 1972. The bee is watching a movie from 2016. The bison is currently in Kenya, and was born 4 and a half years ago. The bulldog is 9 months old. The crab is named Max. The dinosaur surrenders to the cougar. The dragonfly dances with the husky. The dugong is currently in Colombia. The fish shouts at the gadwall. The owl is named Mojo. The pelikan neglects the cobra. The worm captures the king of the starling. And the rules of the game are as follows. Rule1: From observing that one animal trades one of the pieces in its possession with the gorilla, one can conclude that it also stops the victory of the mannikin, undoubtedly. Rule2: Regarding the dugong, if it is in South America at the moment, then we can conclude that it enjoys the company of the monkey. Rule3: There exists an animal which disarms the mouse? Then the camel definitely pays some $$$ to the beaver. Rule4: From observing that one animal neglects the cobra, one can conclude that it also reveals something that is supposed to be a secret to the ant, undoubtedly. Rule5: The bear does not neglect the beetle whenever at least one animal unites with the fangtooth. Rule6: Here is an important piece of information about the bear: if it has a musical instrument then it negotiates a deal with the pigeon for sure. Rule7: If the bee is in Canada at the moment, then the bee does not hide her cards from the reindeer. Rule8: This is a basic rule: if the reindeer swims in the pool next to the house of the camel, then the conclusion that \"the camel hides her cards from the woodpecker\" follows immediately and effectively. Rule9: One of the rules of the game is that if the crab reveals something that is supposed to be a secret to the walrus, then the walrus will never trade one of the pieces in its possession with the wolf. Rule10: If something neglects the beetle, then it does not swear to the dachshund. Rule11: The butterfly unquestionably tears down the castle that belongs to the swallow, in the case where the gadwall does not reveal a secret to the butterfly. Rule12: One of the rules of the game is that if the starling enjoys the company of the goose, then the goose will, without hesitation, borrow one of the weapons of the snake. Rule13: If there is evidence that one animal, no matter which one, hugs the seal, then the reindeer swims in the pool next to the house of the camel undoubtedly. Rule14: This is a basic rule: if the duck borrows one of the weapons of the llama, then the conclusion that \"the llama refuses to help the german shepherd\" follows immediately and effectively. Rule15: The gadwall does not reveal a secret to the butterfly whenever at least one animal suspects the truthfulness of the husky. Rule16: The camel will not hide the cards that she has from the woodpecker, in the case where the wolf does not invest in the company whose owner is the camel. Rule17: If there is evidence that one animal, no matter which one, stops the victory of the goat, then the bulldog disarms the mouse undoubtedly. Rule18: The pelikan does not refuse to help the finch whenever at least one animal swears to the dolphin. Rule19: One of the rules of the game is that if the llama acquires a photograph of the german shepherd, then the german shepherd will, without hesitation, swim inside the pool located besides the house of the basenji. Rule20: If there is evidence that one animal, no matter which one, pays some $$$ to the beaver, then the vampire negotiates a deal with the camel undoubtedly. Rule21: There exists an animal which hugs the beaver? Then, the bison definitely does not stop the victory of the goat. Rule22: The bison will stop the victory of the goat if it (the bison) is in Africa at the moment. Rule23: One of the rules of the game is that if the stork dances with the wolf, then the wolf will never invest in the company owned by the camel. Rule24: This is a basic rule: if the flamingo does not hide her cards from the vampire, then the conclusion that the vampire will not negotiate a deal with the camel follows immediately and effectively. Rule25: The living creature that stops the victory of the mannikin will never manage to persuade the mule. Rule26: One of the rules of the game is that if the goat shouts at the camel, then the camel will never bring an oil tank for the basenji. Rule27: If at least one animal swims in the pool next to the house of the songbird, then the bear hugs the seal. Rule28: The bee will not hide the cards that she has from the reindeer if it (the bee) is watching a movie that was released before Obama's presidency started. Rule29: This is a basic rule: if the vampire negotiates a deal with the camel, then the conclusion that \"the camel leaves the houses that are occupied by the chihuahua\" follows immediately and effectively. Rule30: The dove invests in the company owned by the akita whenever at least one animal refuses to help the finch. Rule31: If the dove invests in the company whose owner is the akita, then the akita swims inside the pool located besides the house of the camel. Rule32: Here is an important piece of information about the bear: if it has a card with a primary color then it neglects the beetle for sure. Rule33: Regarding the crab, if it has a name whose first letter is the same as the first letter of the owl's name, then we can conclude that it reveals something that is supposed to be a secret to the walrus. Rule34: If the pigeon enjoys the company of the reindeer, then the reindeer is not going to swim inside the pool located besides the house of the camel. Rule35: There exists an animal which tears down the castle that belongs to the swallow? Then the stork definitely dances with the wolf. Rule36: The bulldog will hug the chinchilla if it (the bulldog) is less than sixteen and a half months old. Rule37: In order to conclude that the basenji tears down the castle that belongs to the otter, two pieces of evidence are required: firstly the camel should bring an oil tank for the basenji and secondly the german shepherd should not swim inside the pool located besides the house of the basenji. Rule38: The living creature that does not swear to the dachshund will never hug the seal. Rule39: If you are positive that one of the animals does not manage to persuade the mule, you can be certain that it will not swim in the pool next to the house of the basenji. Rule40: If the bison is less than 34 weeks old, then the bison stops the victory of the goat. Rule41: Be careful when something leaves the houses occupied by the chihuahua but does not hide the cards that she has from the woodpecker because in this case it will, surely, bring an oil tank for the basenji (this may or may not be problematic). Rule42: The wolf unquestionably neglects the zebra, in the case where the walrus does not trade one of its pieces with the wolf. Rule43: If something hides her cards from the reindeer, then it swims in the pool next to the house of the songbird, too. Rule44: One of the rules of the game is that if the worm captures the king (i.e. the most important piece) of the starling, then the starling will, without hesitation, enjoy the companionship of the goose. Rule45: This is a basic rule: if the peafowl wants to see the german shepherd, then the conclusion that \"the german shepherd will not stop the victory of the mannikin\" follows immediately and effectively. Rule46: Here is an important piece of information about the bear: if it has a musical instrument then it neglects the beetle for sure. Rule47: The wolf does not neglect the zebra whenever at least one animal destroys the wall constructed by the rhino. Rule48: The llama does not refuse to help the german shepherd whenever at least one animal enjoys the companionship of the monkey. Rule49: If there is evidence that one animal, no matter which one, borrows one of the weapons of the snake, then the german shepherd trades one of its pieces with the gorilla undoubtedly. Rule50: If you are positive that you saw one of the animals reveals a secret to the ant, you can be certain that it will also refuse to help the finch. Rule51: Regarding the bear, if it is watching a movie that was released before the Internet was invented, then we can conclude that it negotiates a deal with the pigeon. Rule52: There exists an animal which surrenders to the cougar? Then the bee definitely hides her cards from the reindeer. Rule16 is preferred over Rule8. Rule18 is preferred over Rule50. Rule19 is preferred over Rule39. Rule21 is preferred over Rule22. Rule21 is preferred over Rule40. Rule24 is preferred over Rule20. Rule26 is preferred over Rule41. Rule27 is preferred over Rule38. Rule28 is preferred over Rule52. Rule34 is preferred over Rule13. Rule45 is preferred over Rule1. Rule47 is preferred over Rule42. Rule48 is preferred over Rule14. Rule5 is preferred over Rule32. Rule5 is preferred over Rule46. Rule7 is preferred over Rule52. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the basenji tear down the castle that belongs to the otter? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:125", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita is named Luna. The bulldog stole a bike from the store. The chihuahua smiles at the stork. The cobra creates one castle for the swallow. The duck invests in the company whose owner is the goose. The seal is named Tango. The seal is eighteen days old. The snake has a guitar. The snake struggles to find food. The stork published a high-quality paper. The coyote does not unite with the chinchilla. The dugong does not bring an oil tank for the elk. And the rules of the game are as follows. Rule1: This is a basic rule: if the chihuahua does not smile at the stork, then the conclusion that the stork invests in the company owned by the coyote follows immediately and effectively. Rule2: If the snake has access to an abundance of food, then the snake does not invest in the company owned by the dinosaur. Rule3: From observing that an animal wants to see the flamingo, one can conclude the following: that animal does not reveal something that is supposed to be a secret to the german shepherd. Rule4: If at least one animal creates one castle for the swallow, then the dugong trades one of its pieces with the owl. Rule5: The living creature that invests in the company whose owner is the dinosaur will also surrender to the bee, without a doubt. Rule6: The snake does not surrender to the bee whenever at least one animal borrows one of the weapons of the mannikin. Rule7: The bulldog will neglect the dragonfly if it (the bulldog) took a bike from the store. Rule8: If the seal has a name whose first letter is the same as the first letter of the akita's name, then the seal brings an oil tank for the badger. Rule9: The monkey does not swim inside the pool located besides the house of the bee whenever at least one animal neglects the dragonfly. Rule10: This is a basic rule: if the beaver does not reveal a secret to the german shepherd, then the conclusion that the german shepherd trades one of its pieces with the fangtooth follows immediately and effectively. Rule11: From observing that an animal unites with the chinchilla, one can conclude the following: that animal does not stop the victory of the lizard. Rule12: If there is evidence that one animal, no matter which one, swims in the pool next to the house of the vampire, then the beaver is not going to smile at the rhino. Rule13: If the butterfly hides her cards from the beaver, then the beaver is not going to build a power plant near the green fields of the rhino. Rule14: One of the rules of the game is that if the coyote does not shout at the starling, then the starling will, without hesitation, create a castle for the beaver. Rule15: If you are positive that one of the animals does not stop the victory of the lizard, you can be certain that it will not shout at the starling. Rule16: The living creature that stops the victory of the mule will also enjoy the companionship of the reindeer, without a doubt. Rule17: Here is an important piece of information about the seal: if it is less than twelve months old then it brings an oil tank for the badger for sure. Rule18: If something does not swear to the pigeon and additionally not build a power plant close to the green fields of the rhino, then it wants to see the flamingo. Rule19: In order to conclude that the coyote shouts at the starling, two pieces of evidence are required: firstly the stork should invest in the company owned by the coyote and secondly the crow should not invest in the company owned by the coyote. Rule20: If at least one animal falls on a square that belongs to the seahorse, then the butterfly trades one of the pieces in its possession with the crab. Rule21: If you are positive that you saw one of the animals trades one of the pieces in its possession with the crab, you can be certain that it will also hide her cards from the beaver. Rule22: If you are positive that you saw one of the animals brings an oil tank for the badger, you can be certain that it will also swim in the pool next to the house of the vampire. Rule23: This is a basic rule: if the starling creates one castle for the beaver, then the conclusion that \"the beaver will not swear to the pigeon\" follows immediately and effectively. Rule24: If you are positive that you saw one of the animals acquires a photo of the dragon, you can be certain that it will not bring an oil tank for the badger. Rule25: From observing that one animal invests in the company whose owner is the goose, one can conclude that it also falls on a square of the seahorse, undoubtedly. Rule26: From observing that one animal trades one of the pieces in its possession with the owl, one can conclude that it also destroys the wall built by the gorilla, undoubtedly. Rule27: The gorilla builds a power plant near the green fields of the beaver whenever at least one animal surrenders to the bee. Rule28: If the monkey swims inside the pool located besides the house of the bee, then the bee stops the victory of the mule. Rule29: Here is an important piece of information about the snake: if it has fewer than ten friends then it does not invest in the company owned by the dinosaur for sure. Rule30: If the snake has a musical instrument, then the snake invests in the company whose owner is the dinosaur. Rule19 is preferred over Rule15. Rule2 is preferred over Rule30. Rule24 is preferred over Rule17. Rule24 is preferred over Rule8. Rule29 is preferred over Rule30. Rule6 is preferred over Rule5. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the german shepherd trade one of its pieces with the fangtooth? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:126", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dugong invests in the company whose owner is the monkey. The seal falls on a square of the bear, is watching a movie from 1904, and was born 3 years ago. The seal has a basketball with a diameter of 20 inches. The stork has a 10 x 10 inches notebook, and hides the cards that she has from the crow. The swallow has a basketball with a diameter of 23 inches. The swallow is watching a movie from 2008. And the rules of the game are as follows. Rule1: The wolf unquestionably enjoys the companionship of the lizard, in the case where the walrus negotiates a deal with the wolf. Rule2: Regarding the swallow, if it is watching a movie that was released after Maradona died, then we can conclude that it does not suspect the truthfulness of the elk. Rule3: If you are positive that one of the animals does not trade one of the pieces in its possession with the pigeon, you can be certain that it will refuse to help the stork without a doubt. Rule4: If the lizard swears to the walrus, then the walrus suspects the truthfulness of the wolf. Rule5: Here is an important piece of information about the seal: if it has a basketball that fits in a 18.7 x 28.4 x 30.1 inches box then it creates a castle for the starling for sure. Rule6: From observing that one animal smiles at the elk, one can conclude that it also brings an oil tank for the ostrich, undoubtedly. Rule7: One of the rules of the game is that if the stork does not hug the lizard, then the lizard will, without hesitation, swear to the walrus. Rule8: Here is an important piece of information about the swallow: if it has fewer than 18 friends then it does not suspect the truthfulness of the elk for sure. Rule9: The living creature that hides her cards from the crow will also dance with the leopard, without a doubt. Rule10: If you are positive that you saw one of the animals dances with the leopard, you can be certain that it will also manage to convince the dalmatian. Rule11: There exists an animal which creates one castle for the starling? Then, the stork definitely does not manage to persuade the dalmatian. Rule12: If the swallow has a basketball that fits in a 30.7 x 30.6 x 25.6 inches box, then the swallow suspects the truthfulness of the elk. Rule13: The seal will trade one of its pieces with the pigeon if it (the seal) is watching a movie that was released before world war 1 started. Rule14: The seal will create a castle for the starling if it (the seal) is more than 31 weeks old. Rule15: The bison does not call the bulldog whenever at least one animal brings an oil tank for the ostrich. Rule16: If you are positive that one of the animals does not call the bulldog, you can be certain that it will build a power plant close to the green fields of the goose without a doubt. Rule17: If you are positive that you saw one of the animals falls on a square of the bear, you can be certain that it will not create one castle for the starling. Rule18: There exists an animal which suspects the truthfulness of the elk? Then the reindeer definitely smiles at the elk. Rule19: If something manages to persuade the dalmatian, then it does not hug the lizard. Rule20: Be careful when something enjoys the company of the lizard and also unites with the mouse because in this case it will surely call the chihuahua (this may or may not be problematic). Rule21: Regarding the stork, if it has a basketball that fits in a 32.6 x 34.4 x 29.7 inches box, then we can conclude that it does not dance with the leopard. Rule22: For the stork, if the belief is that the gadwall negotiates a deal with the stork and the seal refuses to help the stork, then you can add \"the stork hugs the lizard\" to your conclusions. Rule23: From observing that an animal enjoys the company of the dragon, one can conclude the following: that animal does not build a power plant near the green fields of the goose. Rule24: The wolf unites with the mouse whenever at least one animal builds a power plant close to the green fields of the goose. Rule25: If there is evidence that one animal, no matter which one, invests in the company owned by the monkey, then the seal is not going to trade one of the pieces in its possession with the pigeon. Rule10 is preferred over Rule11. Rule14 is preferred over Rule17. Rule2 is preferred over Rule12. Rule21 is preferred over Rule9. Rule22 is preferred over Rule19. Rule23 is preferred over Rule16. Rule25 is preferred over Rule13. Rule5 is preferred over Rule17. Rule8 is preferred over Rule12. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the wolf call the chihuahua? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:128", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beetle has 13 friends, and is a farm worker. The beetle has a card that is white in color. The dalmatian is watching a movie from 1976, and trades one of its pieces with the liger. The flamingo was born 1 and a half years ago. The shark takes over the emperor of the goat. The german shepherd does not manage to convince the bear. And the rules of the game are as follows. Rule1: The goat does not disarm the flamingo, in the case where the camel negotiates a deal with the goat. Rule2: If at least one animal swims inside the pool located besides the house of the reindeer, then the bear does not create one castle for the flamingo. Rule3: If the dalmatian destroys the wall built by the worm, then the worm pays some $$$ to the duck. Rule4: From observing that an animal does not surrender to the butterfly, one can conclude that it acquires a photo of the snake. Rule5: There exists an animal which brings an oil tank for the bulldog? Then the dragonfly definitely negotiates a deal with the pelikan. Rule6: If the beetle works in marketing, then the beetle dances with the basenji. Rule7: If at least one animal suspects the truthfulness of the pigeon, then the swallow neglects the stork. Rule8: The dachshund unquestionably destroys the wall built by the cougar, in the case where the worm does not refuse to help the dachshund. Rule9: If you are positive that you saw one of the animals dances with the basenji, you can be certain that it will also tear down the castle that belongs to the peafowl. Rule10: This is a basic rule: if the wolf manages to persuade the owl, then the conclusion that \"the owl will not bring an oil tank for the bulldog\" follows immediately and effectively. Rule11: If at least one animal negotiates a deal with the pelikan, then the mermaid acquires a photograph of the vampire. Rule12: The living creature that smiles at the dinosaur will also enjoy the companionship of the beaver, without a doubt. Rule13: One of the rules of the game is that if the shark takes over the emperor of the goat, then the goat will never take over the emperor of the gadwall. Rule14: If something does not take over the emperor of the gadwall, then it disarms the flamingo. Rule15: From observing that one animal acquires a photo of the snake, one can conclude that it also swears to the leopard, undoubtedly. Rule16: If you see that something swears to the leopard but does not unite with the vampire, what can you certainly conclude? You can conclude that it suspects the truthfulness of the pigeon. Rule17: If something trades one of the pieces in its possession with the liger, then it does not destroy the wall constructed by the worm. Rule18: If the chihuahua neglects the flamingo, then the flamingo surrenders to the butterfly. Rule19: If something neglects the stork, then it smiles at the dinosaur, too. Rule20: If something pays money to the duck, then it does not refuse to help the dachshund. Rule21: If the goat disarms the flamingo and the bear creates a castle for the flamingo, then the flamingo will not unite with the vampire. Rule22: Here is an important piece of information about the flamingo: if it is less than three years old then it does not surrender to the butterfly for sure. Rule23: If at least one animal unites with the starling, then the dove does not hide the cards that she has from the swallow. Rule24: If the beetle has more than 7 friends, then the beetle dances with the basenji. Rule25: The bear unquestionably enjoys the company of the dragon, in the case where the german shepherd manages to persuade the bear. Rule26: If at least one animal destroys the wall built by the cougar, then the dalmatian unites with the starling. Rule27: If at least one animal captures the king (i.e. the most important piece) of the mannikin, then the beetle does not tear down the castle of the peafowl. Rule28: The living creature that enjoys the companionship of the dragon will also create a castle for the flamingo, without a doubt. Rule29: If at least one animal tears down the castle of the peafowl, then the owl brings an oil tank for the bulldog. Rule30: Regarding the dalmatian, if it is watching a movie that was released before the Internet was invented, then we can conclude that it destroys the wall constructed by the worm. Rule31: There exists an animal which trades one of its pieces with the walrus? Then, the dachshund definitely does not destroy the wall constructed by the cougar. Rule1 is preferred over Rule14. Rule10 is preferred over Rule29. Rule18 is preferred over Rule22. Rule2 is preferred over Rule28. Rule27 is preferred over Rule9. Rule30 is preferred over Rule17. Rule31 is preferred over Rule8. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the swallow enjoy the company of the beaver? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:130", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant swears to the starling. The butterfly published a high-quality paper. The chihuahua manages to convince the ostrich. The flamingo swims in the pool next to the house of the akita. The gadwall is named Lola. The german shepherd has 91 dollars, and is named Meadow. The leopard is watching a movie from 1979. The lizard dances with the zebra. The mermaid has 21 dollars. The monkey tears down the castle that belongs to the mannikin. The pigeon has 45 dollars. The poodle is named Tango. The seal reveals a secret to the crow. The starling is watching a movie from 1991, and is currently in Hamburg. The vampire is named Buddy, and published a high-quality paper. And the rules of the game are as follows. Rule1: If the vampire has a high-quality paper, then the vampire falls on a square that belongs to the gorilla. Rule2: From observing that one animal surrenders to the gadwall, one can conclude that it also acquires a photograph of the ant, undoubtedly. Rule3: Be careful when something does not suspect the truthfulness of the chihuahua but acquires a photograph of the ant because in this case it will, surely, disarm the mannikin (this may or may not be problematic). Rule4: If at least one animal smiles at the liger, then the starling takes over the emperor of the gadwall. Rule5: If something destroys the wall built by the shark, then it reveals a secret to the swallow, too. Rule6: If you are positive that you saw one of the animals dances with the zebra, you can be certain that it will not hug the dragon. Rule7: If at least one animal disarms the mannikin, then the frog borrows one of the weapons of the goat. Rule8: This is a basic rule: if the stork reveals something that is supposed to be a secret to the swallow, then the conclusion that \"the swallow destroys the wall built by the goat\" follows immediately and effectively. Rule9: The basenji unquestionably swears to the goose, in the case where the lizard captures the king (i.e. the most important piece) of the basenji. Rule10: If something does not hug the dragon, then it captures the king (i.e. the most important piece) of the basenji. Rule11: Here is an important piece of information about the starling: if it is in Turkey at the moment then it does not stop the victory of the mule for sure. Rule12: The living creature that swims in the pool next to the house of the akita will also dance with the chinchilla, without a doubt. Rule13: The living creature that does not hug the shark will never destroy the wall constructed by the shark. Rule14: The living creature that negotiates a deal with the dragonfly will also destroy the wall constructed by the shark, without a doubt. Rule15: Regarding the starling, if it is watching a movie that was released before Shaquille O'Neal retired, then we can conclude that it does not stop the victory of the mule. Rule16: If there is evidence that one animal, no matter which one, reveals something that is supposed to be a secret to the crow, then the lizard hugs the dragon undoubtedly. Rule17: This is a basic rule: if the german shepherd falls on a square of the basenji, then the conclusion that \"the basenji surrenders to the gadwall\" follows immediately and effectively. Rule18: If the dragonfly reveals a secret to the stork, then the stork negotiates a deal with the dragonfly. Rule19: There exists an animal which tears down the castle that belongs to the mannikin? Then the butterfly definitely smiles at the liger. Rule20: If something swears to the goose, then it does not suspect the truthfulness of the chihuahua. Rule21: The living creature that does not enjoy the company of the swan will fall on a square of the basenji with no doubts. Rule22: If the leopard is watching a movie that was released after Zinedine Zidane was born, then the leopard does not smile at the dragonfly. Rule23: One of the rules of the game is that if the monkey refuses to help the goat, then the goat will never neglect the bee. Rule24: If at least one animal manages to persuade the ostrich, then the flamingo does not dance with the chinchilla. Rule25: The german shepherd will not enjoy the company of the swan if it (the german shepherd) has a name whose first letter is the same as the first letter of the gadwall's name. Rule26: If the leopard does not call the dragonfly, then the dragonfly does not reveal something that is supposed to be a secret to the stork. Rule27: If the leopard works in healthcare, then the leopard smiles at the dragonfly. Rule28: From observing that an animal negotiates a deal with the dragon, one can conclude the following: that animal does not swear to the goose. Rule29: Here is an important piece of information about the vampire: if it has a name whose first letter is the same as the first letter of the poodle's name then it falls on a square that belongs to the gorilla for sure. Rule30: There exists an animal which falls on a square of the gorilla? Then the dragonfly definitely reveals a secret to the stork. Rule31: The german shepherd will not enjoy the companionship of the swan if it (the german shepherd) has more money than the mermaid and the pigeon combined. Rule32: In order to conclude that the goat neglects the bee, two pieces of evidence are required: firstly the frog should borrow one of the weapons of the goat and secondly the swallow should destroy the wall built by the goat. Rule12 is preferred over Rule24. Rule13 is preferred over Rule14. Rule16 is preferred over Rule6. Rule27 is preferred over Rule22. Rule28 is preferred over Rule9. Rule30 is preferred over Rule26. Rule32 is preferred over Rule23. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the goat neglect the bee? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:131", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bee creates one castle for the mannikin. The bulldog has 66 dollars. The cobra has 100 dollars, and has 15 friends. The cobra is watching a movie from 2023. The german shepherd has a flute, is watching a movie from 1978, and is a web developer. The mannikin has four friends. The otter acquires a photograph of the dinosaur. And the rules of the game are as follows. Rule1: There exists an animal which pays money to the vampire? Then the gadwall definitely enjoys the companionship of the duck. Rule2: There exists an animal which hugs the butterfly? Then the duck definitely takes over the emperor of the reindeer. Rule3: Regarding the cobra, if it is watching a movie that was released after Maradona died, then we can conclude that it refuses to help the akita. Rule4: From observing that one animal takes over the emperor of the reindeer, one can conclude that it also falls on a square of the chihuahua, undoubtedly. Rule5: If at least one animal swears to the walrus, then the akita does not negotiate a deal with the dalmatian. Rule6: If the akita negotiates a deal with the dalmatian, then the dalmatian stops the victory of the duck. Rule7: From observing that an animal does not surrender to the seahorse, one can conclude that it falls on a square of the beaver. Rule8: If the german shepherd has a musical instrument, then the german shepherd does not capture the king of the woodpecker. Rule9: Here is an important piece of information about the mannikin: if it has fewer than ten friends then it pays money to the vampire for sure. Rule10: The living creature that does not capture the king (i.e. the most important piece) of the woodpecker will reveal a secret to the butterfly with no doubts. Rule11: If at least one animal unites with the goat, then the duck does not fall on a square of the chihuahua. Rule12: One of the rules of the game is that if the gadwall does not enjoy the companionship of the duck, then the duck will never surrender to the seahorse. Rule13: For the akita, if the belief is that the otter swears to the akita and the cobra refuses to help the akita, then you can add \"the akita negotiates a deal with the dalmatian\" to your conclusions. Rule14: If something falls on a square of the chihuahua, then it borrows a weapon from the snake, too. Rule15: The duck unquestionably stops the victory of the cobra, in the case where the dalmatian stops the victory of the duck. Rule16: If you are positive that you saw one of the animals hides the cards that she has from the dinosaur, you can be certain that it will also swear to the akita. Rule17: One of the rules of the game is that if the dove does not suspect the truthfulness of the duck, then the duck will, without hesitation, surrender to the seahorse. Rule18: The rhino unquestionably destroys the wall constructed by the wolf, in the case where the gadwall suspects the truthfulness of the rhino. Rule19: If at least one animal borrows one of the weapons of the snake, then the gadwall suspects the truthfulness of the rhino. Rule12 is preferred over Rule17. Rule4 is preferred over Rule11. Rule5 is preferred over Rule13. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the rhino destroy the wall constructed by the wolf? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:132", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beaver suspects the truthfulness of the basenji. The bee has 85 dollars. The crab has a basketball with a diameter of 21 inches, and does not hide the cards that she has from the elk. The crow has a card that is green in color. The dragon has 78 dollars. The dragon has a cappuccino, and is currently in Argentina. The duck has 50 dollars. The finch has a 11 x 15 inches notebook. The finch has a trumpet. The fish has 54 dollars. The goat tears down the castle that belongs to the husky. The monkey smiles at the pigeon. The mouse invests in the company whose owner is the finch. The songbird has a football with a radius of 25 inches. The zebra has 29 dollars. The flamingo does not want to see the peafowl. The vampire does not want to see the lizard. And the rules of the game are as follows. Rule1: If you see that something destroys the wall built by the cobra and falls on a square that belongs to the peafowl, what can you certainly conclude? You can conclude that it does not negotiate a deal with the seahorse. Rule2: One of the rules of the game is that if the german shepherd does not destroy the wall constructed by the coyote, then the coyote will, without hesitation, destroy the wall built by the cobra. Rule3: From observing that one animal tears down the castle that belongs to the husky, one can conclude that it also surrenders to the leopard, undoubtedly. Rule4: If the dragon is in South America at the moment, then the dragon leaves the houses that are occupied by the peafowl. Rule5: If at least one animal tears down the castle of the dinosaur, then the pigeon takes over the emperor of the german shepherd. Rule6: One of the rules of the game is that if the worm calls the dugong, then the dugong will, without hesitation, unite with the coyote. Rule7: If the dragon has more money than the zebra and the duck combined, then the dragon leaves the houses that are occupied by the peafowl. Rule8: If you are positive that one of the animals does not hide her cards from the elk, you can be certain that it will leave the houses occupied by the wolf without a doubt. Rule9: If there is evidence that one animal, no matter which one, tears down the castle that belongs to the otter, then the fish tears down the castle of the dinosaur undoubtedly. Rule10: Regarding the dragon, if it has a musical instrument, then we can conclude that it does not leave the houses occupied by the peafowl. Rule11: The flamingo does not want to see the akita whenever at least one animal suspects the truthfulness of the basenji. Rule12: One of the rules of the game is that if the monkey smiles at the pigeon, then the pigeon will, without hesitation, swear to the mermaid. Rule13: From observing that an animal does not enjoy the company of the peafowl, one can conclude that it negotiates a deal with the seahorse. Rule14: If something does not smile at the starling, then it does not dance with the worm. Rule15: If the akita negotiates a deal with the lizard, then the lizard dances with the worm. Rule16: From observing that one animal hides the cards that she has from the chinchilla, one can conclude that it also reveals a secret to the dalmatian, undoubtedly. Rule17: If there is evidence that one animal, no matter which one, captures the king of the mannikin, then the snake borrows one of the weapons of the owl undoubtedly. Rule18: The dalmatian unquestionably acquires a photograph of the cobra, in the case where the finch reveals a secret to the dalmatian. Rule19: For the worm, if the belief is that the lizard dances with the worm and the vampire tears down the castle of the worm, then you can add \"the worm calls the dugong\" to your conclusions. Rule20: One of the rules of the game is that if the snake borrows a weapon from the owl, then the owl will, without hesitation, surrender to the leopard. Rule21: If you are positive that you saw one of the animals creates a castle for the stork, you can be certain that it will not destroy the wall constructed by the coyote. Rule22: One of the rules of the game is that if the vampire does not want to see the lizard, then the lizard will, without hesitation, stop the victory of the dolphin. Rule23: This is a basic rule: if the crow suspects the truthfulness of the seal, then the conclusion that \"the seal stops the victory of the crow\" follows immediately and effectively. Rule24: Regarding the songbird, if it has a football that fits in a 57.7 x 53.2 x 56.3 inches box, then we can conclude that it manages to persuade the woodpecker. Rule25: Regarding the crow, if it has a card whose color starts with the letter \"g\", then we can conclude that it suspects the truthfulness of the seal. Rule26: There exists an animal which surrenders to the leopard? Then the crab definitely swears to the coyote. Rule27: If you are positive that you saw one of the animals negotiates a deal with the songbird, you can be certain that it will also create one castle for the stork. Rule28: One of the rules of the game is that if the mouse invests in the company whose owner is the finch, then the finch will, without hesitation, hide her cards from the chinchilla. Rule29: The coyote does not enjoy the company of the peafowl, in the case where the dugong unites with the coyote. Rule30: If something acquires a photo of the ostrich, then it does not leave the houses occupied by the dinosaur. Rule31: If there is evidence that one animal, no matter which one, stops the victory of the crow, then the german shepherd negotiates a deal with the songbird undoubtedly. Rule32: If something swears to the mermaid, then it leaves the houses occupied by the dinosaur, too. Rule33: Regarding the bee, if it has more money than the fish, then we can conclude that it tears down the castle of the otter. Rule34: If the crab has a basketball that fits in a 31.9 x 15.7 x 28.3 inches box, then the crab does not leave the houses occupied by the wolf. Rule35: Here is an important piece of information about the crab: if it has fewer than eleven friends then it does not leave the houses that are occupied by the wolf for sure. Rule36: The ant captures the king of the mannikin whenever at least one animal surrenders to the leopard. Rule37: The living creature that manages to persuade the woodpecker will also create one castle for the german shepherd, without a doubt. Rule38: If at least one animal unites with the dragonfly, then the lizard smiles at the starling. Rule39: This is a basic rule: if the flamingo wants to see the akita, then the conclusion that \"the akita negotiates a deal with the lizard\" follows immediately and effectively. Rule40: Here is an important piece of information about the dragon: if it has a card whose color appears in the flag of France then it does not leave the houses that are occupied by the peafowl for sure. Rule41: If at least one animal leaves the houses occupied by the wolf, then the elk stops the victory of the snake. Rule42: From observing that an animal stops the victory of the dolphin, one can conclude the following: that animal does not smile at the starling. Rule43: If you are positive that one of the animals does not want to see the peafowl, you can be certain that it will want to see the akita without a doubt. Rule44: If at least one animal acquires a photo of the cobra, then the worm does not call the dugong. Rule1 is preferred over Rule13. Rule10 is preferred over Rule4. Rule10 is preferred over Rule7. Rule15 is preferred over Rule14. Rule32 is preferred over Rule30. Rule38 is preferred over Rule42. Rule40 is preferred over Rule4. Rule40 is preferred over Rule7. Rule43 is preferred over Rule11. Rule44 is preferred over Rule19. Rule8 is preferred over Rule34. Rule8 is preferred over Rule35. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the coyote negotiate a deal with the seahorse? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:135", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has a card that is black in color. The akita has a knife. The ant has 8 dollars. The basenji is a high school teacher. The camel pays money to the mermaid. The cougar has a card that is orange in color, and will turn three years old in a few minutes. The dachshund has 33 dollars. The flamingo takes over the emperor of the dinosaur. The lizard borrows one of the weapons of the coyote. The llama falls on a square of the flamingo. The owl stops the victory of the bison. The pelikan has 1 friend that is easy going and 1 friend that is not. The pelikan is currently in Istanbul. The rhino has 53 dollars. The vampire got a well-paid job. The walrus has a card that is white in color, and is watching a movie from 1963. The chihuahua does not shout at the beetle. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the coyote refuses to help the monkey, then the monkey will never create a castle for the zebra. Rule2: The dugong unquestionably falls on a square of the bulldog, in the case where the gorilla does not call the dugong. Rule3: From observing that one animal hides the cards that she has from the dalmatian, one can conclude that it also shouts at the finch, undoubtedly. Rule4: If there is evidence that one animal, no matter which one, invests in the company whose owner is the stork, then the finch is not going to enjoy the company of the butterfly. Rule5: The flamingo unquestionably manages to persuade the fangtooth, in the case where the llama falls on a square of the flamingo. Rule6: There exists an animal which pays money to the mermaid? Then the pigeon definitely disarms the shark. Rule7: If the leopard does not negotiate a deal with the monkey, then the monkey does not trade one of its pieces with the otter. Rule8: If at least one animal neglects the mule, then the frog does not hug the monkey. Rule9: This is a basic rule: if the mannikin negotiates a deal with the gorilla, then the conclusion that \"the gorilla will not call the dugong\" follows immediately and effectively. Rule10: If something does not trade one of the pieces in its possession with the otter but brings an oil tank for the crab, then it tears down the castle that belongs to the mouse. Rule11: If something takes over the emperor of the songbird, then it disarms the swan, too. Rule12: From observing that one animal captures the king (i.e. the most important piece) of the bee, one can conclude that it also stops the victory of the leopard, undoubtedly. Rule13: One of the rules of the game is that if the chihuahua does not tear down the castle of the dolphin, then the dolphin will never neglect the mule. Rule14: Here is an important piece of information about the pelikan: if it has more than five friends then it suspects the truthfulness of the reindeer for sure. Rule15: There exists an animal which smiles at the dragonfly? Then the leopard definitely negotiates a deal with the monkey. Rule16: Regarding the akita, if it has a card whose color is one of the rainbow colors, then we can conclude that it hides the cards that she has from the dalmatian. Rule17: If there is evidence that one animal, no matter which one, captures the king (i.e. the most important piece) of the liger, then the german shepherd tears down the castle of the poodle undoubtedly. Rule18: The rhino will take over the emperor of the songbird if it (the rhino) has more money than the ant and the dachshund combined. Rule19: From observing that an animal does not reveal something that is supposed to be a secret to the dragon, one can conclude the following: that animal will not stop the victory of the leopard. Rule20: The living creature that trades one of its pieces with the starling will also create one castle for the zebra, without a doubt. Rule21: Regarding the basenji, if it works in education, then we can conclude that it leaves the houses that are occupied by the pigeon. Rule22: The butterfly unquestionably suspects the truthfulness of the leopard, in the case where the finch enjoys the companionship of the butterfly. Rule23: One of the rules of the game is that if the frog does not hug the monkey, then the monkey will, without hesitation, trade one of its pieces with the starling. Rule24: If the cougar has a card whose color starts with the letter \"r\", then the cougar calls the frog. Rule25: If at least one animal tears down the castle of the shark, then the dolphin neglects the mule. Rule26: If the basenji leaves the houses occupied by the pigeon, then the pigeon is not going to dance with the husky. Rule27: This is a basic rule: if the akita shouts at the finch, then the conclusion that \"the finch enjoys the companionship of the butterfly\" follows immediately and effectively. Rule28: The pelikan will suspect the truthfulness of the reindeer if it (the pelikan) is in Turkey at the moment. Rule29: The mannikin negotiates a deal with the gorilla whenever at least one animal tears down the castle that belongs to the poodle. Rule30: If something creates a castle for the zebra, then it brings an oil tank for the crab, too. Rule31: The frog unquestionably dances with the coyote, in the case where the cougar calls the frog. Rule32: There exists an animal which hides the cards that she has from the elk? Then, the frog definitely does not dance with the coyote. Rule33: If the pelikan suspects the truthfulness of the reindeer, then the reindeer dances with the duck. Rule34: If the seahorse has a card with a primary color, then the seahorse does not hide her cards from the elk. Rule35: This is a basic rule: if the fangtooth acquires a photograph of the monkey, then the conclusion that \"the monkey will not bring an oil tank for the crab\" follows immediately and effectively. Rule36: If at least one animal negotiates a deal with the worm, then the akita does not shout at the finch. Rule37: The reindeer does not reveal a secret to the dragon whenever at least one animal disarms the swan. Rule38: There exists an animal which hides her cards from the gadwall? Then, the pigeon definitely does not call the dove. Rule39: For the leopard, if you have two pieces of evidence 1) the butterfly suspects the truthfulness of the leopard and 2) the reindeer does not stop the victory of the leopard, then you can add that the leopard will never negotiate a deal with the monkey to your conclusions. Rule40: Regarding the cougar, if it is more than 99 days old, then we can conclude that it calls the frog. Rule41: The living creature that does not call the dove will neglect the dove with no doubts. Rule42: If the pigeon has more than 2 friends, then the pigeon does not disarm the shark. Rule43: Here is an important piece of information about the walrus: if it is watching a movie that was released before Zinedine Zidane was born then it captures the king (i.e. the most important piece) of the liger for sure. Rule44: The rhino does not disarm the swan, in the case where the songbird suspects the truthfulness of the rhino. Rule45: Regarding the walrus, if it has a card whose color starts with the letter \"h\", then we can conclude that it captures the king of the liger. Rule46: Regarding the vampire, if it has a high salary, then we can conclude that it hides her cards from the gadwall. Rule47: There exists an animal which stops the victory of the bison? Then the seahorse definitely hides the cards that she has from the elk. Rule48: The pigeon dances with the husky whenever at least one animal manages to convince the fangtooth. Rule49: If the akita has a sharp object, then the akita hides the cards that she has from the dalmatian. Rule50: From observing that an animal does not shout at the beetle, one can conclude the following: that animal will not tear down the castle of the dolphin. Rule1 is preferred over Rule20. Rule12 is preferred over Rule19. Rule15 is preferred over Rule39. Rule25 is preferred over Rule13. Rule31 is preferred over Rule32. Rule34 is preferred over Rule47. Rule35 is preferred over Rule30. Rule36 is preferred over Rule3. Rule4 is preferred over Rule27. Rule42 is preferred over Rule6. Rule44 is preferred over Rule11. Rule48 is preferred over Rule26. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the monkey tear down the castle that belongs to the mouse? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:136", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita brings an oil tank for the liger. The akita has four friends that are kind and one friend that is not. The chinchilla is named Blossom. The husky calls the dragonfly, and creates one castle for the flamingo. The snake has 40 dollars, has 7 friends, and is named Bella. The snake is watching a movie from 2009. The zebra has 77 dollars. And the rules of the game are as follows. Rule1: If the snake has a name whose first letter is the same as the first letter of the chinchilla's name, then the snake wants to see the camel. Rule2: If the snake has more than fifteen friends, then the snake wants to see the camel. Rule3: From observing that an animal manages to persuade the elk, one can conclude the following: that animal does not manage to convince the dragon. Rule4: If something falls on a square that belongs to the akita, then it does not reveal something that is supposed to be a secret to the mouse. Rule5: This is a basic rule: if the owl invests in the company whose owner is the badger, then the conclusion that \"the badger pays some $$$ to the peafowl\" follows immediately and effectively. Rule6: If something falls on a square of the flamingo, then it does not invest in the company whose owner is the duck. Rule7: There exists an animal which manages to convince the dragon? Then the peafowl definitely calls the dove. Rule8: From observing that one animal calls the dove, one can conclude that it also destroys the wall built by the dalmatian, undoubtedly. Rule9: One of the rules of the game is that if the husky swears to the owl, then the owl will, without hesitation, invest in the company owned by the badger. Rule10: If the akita tears down the castle of the husky and the pigeon negotiates a deal with the husky, then the husky will not swear to the owl. Rule11: The husky invests in the company whose owner is the duck whenever at least one animal refuses to help the pigeon. Rule12: Are you certain that one of the animals calls the goose but does not invest in the company whose owner is the duck? Then you can also be certain that the same animal swears to the owl. Rule13: If you are positive that you saw one of the animals calls the dragonfly, you can be certain that it will also call the goose. Rule14: Here is an important piece of information about the akita: if it has more than 4 friends then it tears down the castle that belongs to the husky for sure. Rule15: The starling reveals something that is supposed to be a secret to the mouse whenever at least one animal tears down the castle that belongs to the dragon. Rule16: The owl does not invest in the company whose owner is the badger whenever at least one animal unites with the otter. Rule17: If at least one animal wants to see the camel, then the mannikin manages to persuade the dragon. Rule18: One of the rules of the game is that if the badger pays money to the peafowl, then the peafowl will, without hesitation, manage to persuade the dolphin. Rule19: If the peafowl manages to convince the dolphin, then the dolphin tears down the castle of the dragon. Rule10 is preferred over Rule12. Rule11 is preferred over Rule6. Rule16 is preferred over Rule9. Rule17 is preferred over Rule3. Rule4 is preferred over Rule15. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the starling reveal a secret to the mouse? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:140", "request": "A few players are playing a boardgame. The current state of the game is as follows. The badger has six friends. The bear has a green tea. The bear has two friends. The bee has 33 dollars. The chihuahua is named Cinnamon. The dachshund is one and a half years old. The dove is named Buddy. The finch has 5 friends that are wise and three friends that are not, and has a card that is green in color. The finch is currently in Marseille. The fish stops the victory of the dugong. The flamingo is named Charlie. The monkey is named Bella. The mule enjoys the company of the poodle. The poodle has 99 dollars. The rhino is a programmer. The walrus has 56 dollars. The otter does not surrender to the elk. And the rules of the game are as follows. Rule1: Regarding the finch, if it is in France at the moment, then we can conclude that it falls on a square that belongs to the songbird. Rule2: The living creature that destroys the wall constructed by the camel will never surrender to the pigeon. Rule3: The dachshund will tear down the castle that belongs to the husky if it (the dachshund) is less than 3 years old. Rule4: If something does not surrender to the elk, then it suspects the truthfulness of the wolf. Rule5: The peafowl does not hide the cards that she has from the gorilla, in the case where the mermaid pays some $$$ to the peafowl. Rule6: The frog unquestionably suspects the truthfulness of the rhino, in the case where the dragon does not reveal something that is supposed to be a secret to the frog. Rule7: If at least one animal disarms the mannikin, then the duck neglects the cougar. Rule8: One of the rules of the game is that if the llama brings an oil tank for the frog, then the frog will never acquire a photograph of the owl. Rule9: One of the rules of the game is that if the otter wants to see the liger, then the liger will never hide her cards from the basenji. Rule10: If the woodpecker swims in the pool next to the house of the cougar, then the cougar takes over the emperor of the crow. Rule11: There exists an animal which tears down the castle that belongs to the husky? Then the bulldog definitely reveals something that is supposed to be a secret to the german shepherd. Rule12: For the cougar, if the belief is that the duck neglects the cougar and the crab invests in the company whose owner is the cougar, then you can add that \"the cougar is not going to call the ant\" to your conclusions. Rule13: One of the rules of the game is that if the reindeer destroys the wall built by the dolphin, then the dolphin will, without hesitation, negotiate a deal with the fangtooth. Rule14: The living creature that does not refuse to help the beetle will borrow one of the weapons of the crow with no doubts. Rule15: One of the rules of the game is that if the fish stops the victory of the dugong, then the dugong will, without hesitation, hug the coyote. Rule16: The living creature that reveals a secret to the dragonfly will also swear to the chinchilla, without a doubt. Rule17: Here is an important piece of information about the rhino: if it owns a luxury aircraft then it does not shout at the dalmatian for sure. Rule18: From observing that an animal does not tear down the castle of the snake, one can conclude that it shouts at the songbird. Rule19: The dachshund does not tear down the castle of the husky whenever at least one animal acquires a photo of the swan. Rule20: The living creature that does not suspect the truthfulness of the worm will invest in the company owned by the shark with no doubts. Rule21: If something destroys the wall built by the duck, then it builds a power plant close to the green fields of the starling, too. Rule22: If at least one animal negotiates a deal with the fangtooth, then the woodpecker swims in the pool next to the house of the cougar. Rule23: One of the rules of the game is that if the chihuahua pays some $$$ to the crab, then the crab will never call the akita. Rule24: If the rhino works in computer science and engineering, then the rhino shouts at the dalmatian. Rule25: If there is evidence that one animal, no matter which one, acquires a photo of the mule, then the gadwall is not going to tear down the castle that belongs to the snake. Rule26: If at least one animal invests in the company whose owner is the shark, then the crow unites with the cougar. Rule27: Are you certain that one of the animals takes over the emperor of the crow and also at the same time surrenders to the pigeon? Then you can also be certain that the same animal calls the ant. Rule28: If at least one animal wants to see the goose, then the bear does not invest in the company owned by the shark. Rule29: One of the rules of the game is that if the crow unites with the cougar, then the cougar will, without hesitation, surrender to the pigeon. Rule30: The badger will not create a castle for the swallow if it (the badger) has a sharp object. Rule31: The badger will create one castle for the swallow if it (the badger) has fewer than eight friends. Rule32: One of the rules of the game is that if the crab does not call the akita, then the akita will, without hesitation, reveal something that is supposed to be a secret to the dragonfly. Rule33: One of the rules of the game is that if the frog suspects the truthfulness of the rhino, then the rhino will, without hesitation, disarm the mannikin. Rule34: The living creature that unites with the vampire will also manage to persuade the pelikan, without a doubt. Rule35: If there is evidence that one animal, no matter which one, reveals a secret to the german shepherd, then the bear is not going to suspect the truthfulness of the worm. Rule36: If the bear has a musical instrument, then the bear destroys the wall constructed by the duck. Rule37: The akita does not reveal something that is supposed to be a secret to the dragonfly, in the case where the chihuahua creates one castle for the akita. Rule38: The dragon does not reveal a secret to the frog whenever at least one animal shouts at the goat. Rule39: The bear will destroy the wall built by the duck if it (the bear) has fewer than 6 friends. Rule40: If there is evidence that one animal, no matter which one, hides her cards from the gorilla, then the reindeer destroys the wall constructed by the dolphin undoubtedly. Rule41: If there is evidence that one animal, no matter which one, calls the ant, then the gadwall is not going to build a power plant close to the green fields of the lizard. Rule42: If there is evidence that one animal, no matter which one, disarms the zebra, then the seahorse destroys the wall constructed by the poodle undoubtedly. Rule43: The basenji does not refuse to help the beetle whenever at least one animal refuses to help the pigeon. Rule44: The woodpecker does not swim inside the pool located besides the house of the cougar, in the case where the butterfly manages to persuade the woodpecker. Rule45: From observing that one animal suspects the truthfulness of the wolf, one can conclude that it also wants to see the liger, undoubtedly. Rule46: If the poodle manages to convince the pelikan, then the pelikan disarms the zebra. Rule47: The living creature that shouts at the dalmatian will never manage to persuade the frog. Rule48: One of the rules of the game is that if the beaver acquires a photograph of the crab, then the crab will, without hesitation, call the akita. Rule49: If the mule enjoys the company of the poodle, then the poodle unites with the vampire. Rule50: If at least one animal trades one of the pieces in its possession with the mouse, then the owl shouts at the goat. Rule51: If at least one animal creates a castle for the swallow, then the cobra captures the king (i.e. the most important piece) of the leopard. Rule52: If there is evidence that one animal, no matter which one, hugs the coyote, then the peafowl hides the cards that she has from the gorilla undoubtedly. Rule53: The akita leaves the houses that are occupied by the dinosaur whenever at least one animal captures the king (i.e. the most important piece) of the leopard. Rule54: One of the rules of the game is that if the rhino does not manage to persuade the frog, then the frog will, without hesitation, acquire a photo of the owl. Rule55: Regarding the chihuahua, if it has a name whose first letter is the same as the first letter of the flamingo's name, then we can conclude that it pays some $$$ to the crab. Rule56: There exists an animal which destroys the wall built by the poodle? Then the stork definitely acquires a photo of the mule. Rule57: One of the rules of the game is that if the pelikan does not pay money to the seahorse, then the seahorse will never destroy the wall built by the poodle. Rule58: The living creature that swears to the chinchilla will also smile at the cougar, without a doubt. Rule59: If you are positive that you saw one of the animals borrows a weapon from the pelikan, you can be certain that it will also tear down the castle that belongs to the snake. Rule60: If the dove has a name whose first letter is the same as the first letter of the monkey's name, then the dove trades one of its pieces with the mouse. Rule61: The living creature that falls on a square of the songbird will also refuse to help the pigeon, without a doubt. Rule12 is preferred over Rule27. Rule17 is preferred over Rule24. Rule19 is preferred over Rule3. Rule2 is preferred over Rule29. Rule28 is preferred over Rule20. Rule30 is preferred over Rule31. Rule37 is preferred over Rule32. Rule44 is preferred over Rule22. Rule48 is preferred over Rule23. Rule5 is preferred over Rule52. Rule57 is preferred over Rule42. Rule59 is preferred over Rule25. Rule8 is preferred over Rule54. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the gadwall build a power plant near the green fields of the lizard? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:141", "request": "A few players are playing a boardgame. The current state of the game is as follows. The badger enjoys the company of the otter. The basenji has a blade. The basenji is three years old. The cobra has 80 dollars, and invests in the company whose owner is the chinchilla. The cobra is named Chickpea. The cougar is named Charlie. The crab manages to convince the butterfly. The dragon has 19 dollars. The duck unites with the reindeer. The fangtooth is named Tango. The fish has 96 dollars. The husky has 8 friends, and does not enjoy the company of the woodpecker. The liger has 43 dollars, and was born 19 and a half months ago. The liger is holding her keys. The lizard disarms the goat, and has a plastic bag. The llama has a 19 x 14 inches notebook, and is watching a movie from 2023. The pigeon destroys the wall constructed by the seahorse. The poodle negotiates a deal with the dove. The rhino has 82 dollars. The starling refuses to help the finch. The swan swears to the pelikan. The owl does not pay money to the ostrich. The zebra does not suspect the truthfulness of the beaver. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the snake does not tear down the castle that belongs to the wolf, then the wolf will, without hesitation, enjoy the company of the coyote. Rule2: Here is an important piece of information about the lizard: if it has something to carry apples and oranges then it brings an oil tank for the peafowl for sure. Rule3: If you are positive that you saw one of the animals disarms the mule, you can be certain that it will not negotiate a deal with the mouse. Rule4: Regarding the basenji, if it has a leafy green vegetable, then we can conclude that it stops the victory of the german shepherd. Rule5: From observing that an animal destroys the wall built by the dinosaur, one can conclude the following: that animal does not reveal a secret to the worm. Rule6: Here is an important piece of information about the llama: if it has a notebook that fits in a 15.8 x 23.7 inches box then it destroys the wall built by the flamingo for sure. Rule7: The living creature that invests in the company owned by the chinchilla will also shout at the shark, without a doubt. Rule8: If something does not acquire a photograph of the swallow and additionally not negotiate a deal with the mouse, then it will not suspect the truthfulness of the akita. Rule9: The living creature that does not suspect the truthfulness of the beaver will fall on a square of the vampire with no doubts. Rule10: If the swan swears to the pelikan, then the pelikan dances with the songbird. Rule11: There exists an animal which falls on a square that belongs to the vampire? Then the dachshund definitely refuses to help the zebra. Rule12: The akita will not disarm the dugong, in the case where the gadwall does not suspect the truthfulness of the akita. Rule13: One of the rules of the game is that if the seal builds a power plant close to the green fields of the chihuahua, then the chihuahua will never stop the victory of the gadwall. Rule14: If the llama is watching a movie that was released after covid started, then the llama does not destroy the wall constructed by the flamingo. Rule15: For the dugong, if you have two pieces of evidence 1) the akita does not disarm the dugong and 2) the ant enjoys the companionship of the dugong, then you can add \"dugong tears down the castle that belongs to the elk\" to your conclusions. Rule16: If you are positive that you saw one of the animals enjoys the company of the otter, you can be certain that it will also build a power plant close to the green fields of the dalmatian. Rule17: If you are positive that one of the animals does not trade one of its pieces with the gorilla, you can be certain that it will capture the king (i.e. the most important piece) of the leopard without a doubt. Rule18: From observing that one animal unites with the bulldog, one can conclude that it also trades one of the pieces in its possession with the frog, undoubtedly. Rule19: If at least one animal pays some $$$ to the ant, then the goose destroys the wall constructed by the dolphin. Rule20: If something swears to the goose, then it pays some $$$ to the ant, too. Rule21: The coyote will not stop the victory of the crow, in the case where the peafowl does not enjoy the companionship of the coyote. Rule22: This is a basic rule: if the badger builds a power plant near the green fields of the dalmatian, then the conclusion that \"the dalmatian acquires a photo of the seal\" follows immediately and effectively. Rule23: If the stork does not want to see the dolphin, then the dolphin does not suspect the truthfulness of the walrus. Rule24: The bee does not swim inside the pool located besides the house of the gadwall whenever at least one animal builds a power plant near the green fields of the camel. Rule25: If there is evidence that one animal, no matter which one, trades one of the pieces in its possession with the frog, then the gadwall is not going to acquire a photo of the swallow. Rule26: If something builds a power plant close to the green fields of the beaver, then it shouts at the dachshund, too. Rule27: The seal unquestionably builds a power plant close to the green fields of the chihuahua, in the case where the dalmatian acquires a photo of the seal. Rule28: The vampire trades one of the pieces in its possession with the beaver whenever at least one animal wants to see the zebra. Rule29: The living creature that refuses to help the finch will also swim in the pool next to the house of the snake, without a doubt. Rule30: The husky will not shout at the bear if it (the husky) has a name whose first letter is the same as the first letter of the fangtooth's name. Rule31: If there is evidence that one animal, no matter which one, trades one of its pieces with the beaver, then the zebra is not going to shout at the dachshund. Rule32: The ostrich will not swear to the goose if it (the ostrich) has a notebook that fits in a 16.1 x 20.6 inches box. Rule33: One of the rules of the game is that if the beetle reveals a secret to the seal, then the seal will never build a power plant near the green fields of the chihuahua. Rule34: The peafowl surrenders to the pelikan whenever at least one animal stops the victory of the crow. Rule35: If something does not hug the mannikin, then it does not enjoy the companionship of the coyote. Rule36: If at least one animal hugs the fish, then the ant does not enjoy the company of the dugong. Rule37: The gadwall unquestionably disarms the mule, in the case where the duck takes over the emperor of the gadwall. Rule38: One of the rules of the game is that if the starling swims inside the pool located besides the house of the snake, then the snake will, without hesitation, tear down the castle of the wolf. Rule39: If the lizard does not bring an oil tank for the peafowl, then the peafowl does not hug the mannikin. Rule40: The stork does not capture the king of the leopard whenever at least one animal swears to the bison. Rule41: One of the rules of the game is that if the bulldog does not call the dugong, then the dugong will, without hesitation, swear to the dragonfly. Rule42: From observing that an animal builds a power plant close to the green fields of the monkey, one can conclude the following: that animal does not trade one of the pieces in its possession with the frog. Rule43: This is a basic rule: if the pigeon destroys the wall constructed by the seahorse, then the conclusion that \"the seahorse smiles at the mermaid\" follows immediately and effectively. Rule44: One of the rules of the game is that if the dolphin does not pay some $$$ to the ant, then the ant will, without hesitation, enjoy the companionship of the dugong. Rule45: The living creature that unites with the reindeer will never surrender to the elk. Rule46: If the chihuahua stops the victory of the gadwall, then the gadwall suspects the truthfulness of the akita. Rule47: The living creature that surrenders to the pelikan will also borrow one of the weapons of the dugong, without a doubt. Rule48: If you are positive that one of the animals does not suspect the truthfulness of the walrus, you can be certain that it will not pay money to the ant. Rule49: Regarding the liger, if it has a card with a primary color, then we can conclude that it does not build a power plant near the green fields of the camel. Rule50: If you are positive that you saw one of the animals disarms the goat, you can be certain that it will not bring an oil tank for the peafowl. Rule51: If you are positive that you saw one of the animals acquires a photograph of the beaver, you can be certain that it will not trade one of its pieces with the beaver. Rule52: From observing that an animal destroys the wall constructed by the zebra, one can conclude the following: that animal does not want to see the zebra. Rule53: If there is evidence that one animal, no matter which one, manages to convince the butterfly, then the stork is not going to trade one of its pieces with the gorilla. Rule54: If something refuses to help the zebra, then it wants to see the zebra, too. Rule55: If at least one animal borrows one of the weapons of the vampire, then the bulldog does not call the dugong. Rule56: The living creature that tears down the castle that belongs to the elk will never swear to the dragonfly. Rule57: If at least one animal dances with the songbird, then the snake does not tear down the castle that belongs to the wolf. Rule58: From observing that an animal does not shout at the dachshund, one can conclude that it borrows one of the weapons of the vampire. Rule59: If there is evidence that one animal, no matter which one, smiles at the goat, then the peafowl is not going to borrow a weapon from the dugong. Rule60: If there is evidence that one animal, no matter which one, refuses to help the dinosaur, then the chihuahua stops the victory of the gadwall undoubtedly. Rule61: If you are positive that you saw one of the animals refuses to help the zebra, you can be certain that it will also call the dugong. Rule62: If the liger has more money than the rhino, then the liger does not build a power plant near the green fields of the camel. Rule63: Regarding the liger, if it does not have her keys, then we can conclude that it builds a power plant close to the green fields of the camel. Rule64: If there is evidence that one animal, no matter which one, smiles at the mermaid, then the flamingo unites with the bulldog undoubtedly. Rule65: The flamingo builds a power plant close to the green fields of the monkey whenever at least one animal shouts at the bear. Rule66: Here is an important piece of information about the husky: if it has more than 15 friends then it does not shout at the bear for sure. Rule67: The basenji will stop the victory of the german shepherd if it (the basenji) is more than 17 months old. Rule68: Here is an important piece of information about the liger: if it is more than 40 and a half weeks old then it builds a power plant close to the green fields of the camel for sure. Rule69: If the cobra shouts at the shark, then the shark brings an oil tank for the dragon. Rule70: The living creature that does not surrender to the elk will take over the emperor of the gadwall with no doubts. Rule71: From observing that one animal stops the victory of the german shepherd, one can conclude that it also reveals a secret to the worm, undoubtedly. Rule72: One of the rules of the game is that if the wolf enjoys the companionship of the coyote, then the coyote will, without hesitation, stop the victory of the crow. Rule73: If the basenji reveals a secret to the worm, then the worm refuses to help the dinosaur. Rule74: From observing that an animal does not enjoy the company of the woodpecker, one can conclude that it shouts at the bear. Rule75: If at least one animal brings an oil tank for the dragon, then the stork does not want to see the dolphin. Rule76: The ostrich unquestionably swears to the goose, in the case where the owl does not pay some $$$ to the ostrich. Rule14 is preferred over Rule6. Rule18 is preferred over Rule42. Rule26 is preferred over Rule31. Rule30 is preferred over Rule74. Rule32 is preferred over Rule76. Rule33 is preferred over Rule27. Rule36 is preferred over Rule44. Rule40 is preferred over Rule17. Rule49 is preferred over Rule63. Rule49 is preferred over Rule68. Rule5 is preferred over Rule71. Rule50 is preferred over Rule2. Rule51 is preferred over Rule28. Rule52 is preferred over Rule54. Rule56 is preferred over Rule41. Rule57 is preferred over Rule38. Rule59 is preferred over Rule47. Rule60 is preferred over Rule13. Rule61 is preferred over Rule55. Rule62 is preferred over Rule63. Rule62 is preferred over Rule68. Rule66 is preferred over Rule74. Rule72 is preferred over Rule21. Rule8 is preferred over Rule46. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the dugong swear to the dragonfly? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:144", "request": "A few players are playing a boardgame. The current state of the game is as follows. The basenji is named Tarzan. The cobra is named Buddy. The cobra is currently in Cape Town. The cougar has a beer. The crab has a card that is green in color. The dinosaur enjoys the company of the crow. The dragonfly refuses to help the stork. The finch falls on a square of the camel. The gadwall is named Mojo. The gorilla is watching a movie from 1992. The lizard creates one castle for the swan. The peafowl has 96 dollars, and has a card that is blue in color. The peafowl is 4 years old. The pigeon has 95 dollars. The rhino is named Peddi, and is a grain elevator operator. The snake destroys the wall constructed by the fish. The starling assassinated the mayor. The swan has 6 friends that are adventurous and 1 friend that is not, and is 4 years old. The vampire tears down the castle that belongs to the flamingo. The walrus has three friends that are kind and 3 friends that are not. The walrus is currently in Egypt. The bison does not negotiate a deal with the dalmatian. The dalmatian does not borrow one of the weapons of the monkey. The mule does not bring an oil tank for the chinchilla. The rhino does not surrender to the bear. And the rules of the game are as follows. Rule1: The duck does not fall on a square that belongs to the otter whenever at least one animal unites with the mouse. Rule2: From observing that an animal stops the victory of the liger, one can conclude the following: that animal does not take over the emperor of the wolf. Rule3: The german shepherd stops the victory of the fish whenever at least one animal enjoys the company of the crow. Rule4: From observing that one animal enjoys the companionship of the vampire, one can conclude that it also reveals something that is supposed to be a secret to the flamingo, undoubtedly. Rule5: The cobra will pay some $$$ to the butterfly if it (the cobra) is in Africa at the moment. Rule6: The swallow does not swim in the pool next to the house of the mouse, in the case where the badger calls the swallow. Rule7: The pigeon unquestionably refuses to help the elk, in the case where the gorilla creates a castle for the pigeon. Rule8: If you are positive that you saw one of the animals pays some $$$ to the akita, you can be certain that it will not swim inside the pool located besides the house of the dugong. Rule9: If you are positive that you saw one of the animals manages to convince the poodle, you can be certain that it will also capture the king (i.e. the most important piece) of the fangtooth. Rule10: The pelikan does not shout at the worm, in the case where the wolf brings an oil tank for the pelikan. Rule11: There exists an animal which brings an oil tank for the coyote? Then, the beaver definitely does not destroy the wall built by the dove. Rule12: Here is an important piece of information about the swan: if it is more than nine and a half months old then it takes over the emperor of the ostrich for sure. Rule13: If something builds a power plant close to the green fields of the mannikin, then it destroys the wall built by the camel, too. Rule14: The peafowl will fall on a square of the gorilla if it (the peafowl) is less than seventeen months old. Rule15: If something does not borrow one of the weapons of the monkey, then it brings an oil tank for the coyote. Rule16: One of the rules of the game is that if the dove enjoys the company of the bulldog, then the bulldog will, without hesitation, manage to convince the poodle. Rule17: The living creature that does not invest in the company owned by the seahorse will never build a power plant close to the green fields of the mannikin. Rule18: If you are positive that one of the animals does not hide the cards that she has from the flamingo, you can be certain that it will not unite with the dolphin. Rule19: Regarding the crab, if it has a card whose color appears in the flag of Italy, then we can conclude that it destroys the wall constructed by the bulldog. Rule20: If at least one animal refuses to help the woodpecker, then the shark tears down the castle that belongs to the goose. Rule21: The living creature that borrows a weapon from the gorilla will also swear to the vampire, without a doubt. Rule22: If you are positive that you saw one of the animals reveals a secret to the leopard, you can be certain that it will also create one castle for the pigeon. Rule23: From observing that one animal takes over the emperor of the ostrich, one can conclude that it also pays some $$$ to the frog, undoubtedly. Rule24: If you are positive that one of the animals does not pay some $$$ to the dragon, you can be certain that it will destroy the wall built by the dove without a doubt. Rule25: If the crab destroys the wall constructed by the bulldog, then the bulldog is not going to negotiate a deal with the bee. Rule26: The owl unquestionably unites with the mouse, in the case where the dugong suspects the truthfulness of the owl. Rule27: If there is evidence that one animal, no matter which one, captures the king of the fangtooth, then the owl is not going to unite with the mouse. Rule28: If at least one animal swims inside the pool located besides the house of the mouse, then the chihuahua swims inside the pool located besides the house of the dugong. Rule29: One of the rules of the game is that if the bee builds a power plant close to the green fields of the bulldog, then the bulldog will, without hesitation, reveal something that is supposed to be a secret to the mermaid. Rule30: The stork unquestionably takes over the emperor of the wolf, in the case where the dragonfly refuses to help the stork. Rule31: Here is an important piece of information about the starling: if it killed the mayor then it dances with the peafowl for sure. Rule32: The peafowl will fall on a square of the gorilla if it (the peafowl) has more money than the pigeon. Rule33: If you are positive that one of the animals does not create one castle for the llama, you can be certain that it will neglect the camel without a doubt. Rule34: If at least one animal tears down the castle of the goose, then the pelikan shouts at the worm. Rule35: If you are positive that you saw one of the animals refuses to help the elk, you can be certain that it will also borrow a weapon from the gorilla. Rule36: There exists an animal which tears down the castle that belongs to the flamingo? Then, the starling definitely does not dance with the peafowl. Rule37: If at least one animal shouts at the dachshund, then the duck calls the snake. Rule38: Regarding the rhino, if it has a name whose first letter is the same as the first letter of the gadwall's name, then we can conclude that it does not create one castle for the llama. Rule39: One of the rules of the game is that if the beaver does not destroy the wall built by the dove, then the dove will, without hesitation, enjoy the company of the bulldog. Rule40: If there is evidence that one animal, no matter which one, tears down the castle that belongs to the bulldog, then the swallow swims in the pool next to the house of the mouse undoubtedly. Rule41: One of the rules of the game is that if the finch destroys the wall built by the camel, then the camel will, without hesitation, create a castle for the bulldog. Rule42: This is a basic rule: if the camel creates a castle for the bulldog, then the conclusion that \"the bulldog will not fall on a square that belongs to the cobra\" follows immediately and effectively. Rule43: There exists an animal which swears to the vampire? Then, the duck definitely does not reveal a secret to the flamingo. Rule44: Regarding the walrus, if it has more than five friends, then we can conclude that it refuses to help the woodpecker. Rule45: One of the rules of the game is that if the snake destroys the wall built by the fish, then the fish will, without hesitation, swim in the pool next to the house of the goat. Rule46: From observing that one animal swims inside the pool located besides the house of the goat, one can conclude that it also tears down the castle of the bulldog, undoubtedly. Rule47: Regarding the gorilla, if it is watching a movie that was released after the Berlin wall fell, then we can conclude that it reveals something that is supposed to be a secret to the leopard. Rule48: The living creature that shouts at the worm will never suspect the truthfulness of the dugong. Rule49: If something unites with the frog, then it wants to see the reindeer, too. Rule50: There exists an animal which hides her cards from the songbird? Then the bulldog definitely negotiates a deal with the bee. Rule51: Regarding the cobra, if it has a name whose first letter is the same as the first letter of the basenji's name, then we can conclude that it pays money to the butterfly. Rule52: From observing that an animal smiles at the gorilla, one can conclude the following: that animal does not refuse to help the elk. Rule53: Here is an important piece of information about the crab: if it is in Turkey at the moment then it does not destroy the wall built by the bulldog for sure. Rule54: If there is evidence that one animal, no matter which one, pays some $$$ to the butterfly, then the bee builds a power plant near the green fields of the bulldog undoubtedly. Rule55: This is a basic rule: if the stork takes over the emperor of the wolf, then the conclusion that \"the wolf brings an oil tank for the pelikan\" follows immediately and effectively. Rule56: The reindeer does not borrow one of the weapons of the zebra, in the case where the ostrich wants to see the reindeer. Rule57: The rhino will not create a castle for the llama if it (the rhino) works in agriculture. Rule58: If something falls on a square that belongs to the camel, then it builds a power plant close to the green fields of the mannikin, too. Rule59: There exists an animal which pays money to the frog? Then the ostrich definitely unites with the frog. Rule60: One of the rules of the game is that if the bison does not negotiate a deal with the dalmatian, then the dalmatian will never bring an oil tank for the coyote. Rule61: One of the rules of the game is that if the mule does not bring an oil tank for the chinchilla, then the chinchilla will, without hesitation, want to see the beetle. Rule62: This is a basic rule: if the starling does not dance with the peafowl, then the conclusion that the peafowl unites with the dolphin follows immediately and effectively. Rule63: If the cougar has something to drink, then the cougar hides the cards that she has from the songbird. Rule64: If you are positive that you saw one of the animals neglects the husky, you can be certain that it will also suspect the truthfulness of the dugong. Rule65: If the swan has more than sixteen friends, then the swan takes over the emperor of the ostrich. Rule66: The living creature that reveals a secret to the mermaid will also fall on a square that belongs to the cobra, without a doubt. Rule67: For the dugong, if the belief is that the pelikan does not suspect the truthfulness of the dugong but the chihuahua swims inside the pool located besides the house of the dugong, then you can add \"the dugong suspects the truthfulness of the owl\" to your conclusions. Rule68: If something does not fall on a square of the otter but calls the snake, then it will not invest in the company owned by the seal. Rule69: If you are positive that one of the animals does not borrow one of the weapons of the zebra, you can be certain that it will shout at the dachshund without a doubt. Rule70: If at least one animal wants to see the beetle, then the rhino does not neglect the camel. Rule71: If something unites with the dolphin, then it neglects the pigeon, too. Rule15 is preferred over Rule60. Rule17 is preferred over Rule58. Rule18 is preferred over Rule62. Rule2 is preferred over Rule30. Rule24 is preferred over Rule11. Rule26 is preferred over Rule27. Rule34 is preferred over Rule10. Rule36 is preferred over Rule31. Rule4 is preferred over Rule43. Rule50 is preferred over Rule25. Rule52 is preferred over Rule7. Rule53 is preferred over Rule19. Rule6 is preferred over Rule40. Rule64 is preferred over Rule48. Rule66 is preferred over Rule42. Rule70 is preferred over Rule33. Rule8 is preferred over Rule28. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the duck invest in the company whose owner is the seal? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:145", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita is named Paco. The ant has a computer. The ant is currently in Egypt. The basenji has a cappuccino, and has a card that is blue in color. The beaver has 10 friends, and has a computer. The beaver is watching a movie from 1969, and is four years old. The bee has 1 friend that is playful and 1 friend that is not. The bee is named Max. The chihuahua is currently in Brazil. The dalmatian falls on a square of the dachshund. The dinosaur has a cell phone, and is currently in Toronto. The fangtooth smiles at the bison. The gadwall has a card that is indigo in color. The gadwall is named Pashmak. The husky is named Peddi. The mule is named Milo. The pelikan is named Blossom. The rhino acquires a photograph of the camel. The seahorse neglects the crab. The shark has 14 friends. The vampire tears down the castle that belongs to the leopard. The worm has a card that is yellow in color. The worm has a hot chocolate. The coyote does not negotiate a deal with the leopard. And the rules of the game are as follows. Rule1: If at least one animal unites with the walrus, then the dugong destroys the wall built by the starling. Rule2: If the basenji has something to drink, then the basenji neglects the mermaid. Rule3: One of the rules of the game is that if the monkey wants to see the butterfly, then the butterfly will never swim inside the pool located besides the house of the goat. Rule4: If the bee has a name whose first letter is the same as the first letter of the mule's name, then the bee dances with the mannikin. Rule5: From observing that one animal disarms the pigeon, one can conclude that it also dances with the mannikin, undoubtedly. Rule6: If the beaver has fewer than four friends, then the beaver shouts at the lizard. Rule7: If something shouts at the lizard, then it tears down the castle of the gorilla, too. Rule8: If there is evidence that one animal, no matter which one, smiles at the bison, then the dragon destroys the wall constructed by the fish undoubtedly. Rule9: Here is an important piece of information about the gadwall: if it has a card whose color is one of the rainbow colors then it destroys the wall built by the songbird for sure. Rule10: Here is an important piece of information about the bee: if it has more than eight friends then it dances with the mannikin for sure. Rule11: If the dugong destroys the wall constructed by the starling, then the starling enjoys the companionship of the mouse. Rule12: The peafowl brings an oil tank for the chinchilla whenever at least one animal reveals something that is supposed to be a secret to the pigeon. Rule13: If there is evidence that one animal, no matter which one, neglects the crab, then the chihuahua enjoys the companionship of the ostrich undoubtedly. Rule14: If the zebra does not negotiate a deal with the mannikin, then the mannikin does not destroy the wall built by the beetle. Rule15: One of the rules of the game is that if the dragonfly refuses to help the reindeer, then the reindeer will never create a castle for the flamingo. Rule16: If something trades one of the pieces in its possession with the snake, then it destroys the wall constructed by the beetle, too. Rule17: The worm will dance with the crow if it (the worm) has a card whose color is one of the rainbow colors. Rule18: Are you certain that one of the animals smiles at the gorilla but does not acquire a photo of the seahorse? Then you can also be certain that the same animal stops the victory of the elk. Rule19: The beaver will not shout at the lizard if it (the beaver) has something to sit on. Rule20: Regarding the shark, if it has more than eight friends, then we can conclude that it refuses to help the dove. Rule21: The flamingo does not acquire a photograph of the seahorse whenever at least one animal destroys the wall constructed by the llama. Rule22: Here is an important piece of information about the basenji: if it has a card whose color appears in the flag of Belgium then it does not neglect the mermaid for sure. Rule23: The living creature that tears down the castle that belongs to the gorilla will also swear to the poodle, without a doubt. Rule24: Here is an important piece of information about the dinosaur: if it has a sharp object then it unites with the walrus for sure. Rule25: From observing that one animal swears to the dragon, one can conclude that it also unites with the cougar, undoubtedly. Rule26: There exists an animal which smiles at the frog? Then the leopard definitely reveals something that is supposed to be a secret to the pigeon. Rule27: If the basenji neglects the mermaid and the akita does not borrow one of the weapons of the mermaid, then, inevitably, the mermaid captures the king (i.e. the most important piece) of the wolf. Rule28: If something does not shout at the peafowl, then it does not refuse to help the dove. Rule29: Regarding the chihuahua, if it is watching a movie that was released before Richard Nixon resigned, then we can conclude that it does not enjoy the companionship of the ostrich. Rule30: This is a basic rule: if the reindeer creates a castle for the flamingo, then the conclusion that \"the flamingo will not tear down the castle that belongs to the monkey\" follows immediately and effectively. Rule31: If the ant is in Africa at the moment, then the ant does not want to see the woodpecker. Rule32: One of the rules of the game is that if the bee dances with the mannikin, then the mannikin will, without hesitation, trade one of the pieces in its possession with the snake. Rule33: The liger does not hide her cards from the leopard whenever at least one animal falls on a square that belongs to the dachshund. Rule34: If there is evidence that one animal, no matter which one, destroys the wall built by the songbird, then the ostrich trades one of its pieces with the goose undoubtedly. Rule35: If the gadwall has a name whose first letter is the same as the first letter of the pelikan's name, then the gadwall destroys the wall constructed by the songbird. Rule36: This is a basic rule: if the swallow unites with the cougar, then the conclusion that \"the cougar tears down the castle of the german shepherd\" follows immediately and effectively. Rule37: If you are positive that one of the animals does not want to see the woodpecker, you can be certain that it will smile at the starling without a doubt. Rule38: If there is evidence that one animal, no matter which one, tears down the castle of the german shepherd, then the flamingo smiles at the gorilla undoubtedly. Rule39: If there is evidence that one animal, no matter which one, calls the dachshund, then the finch is not going to neglect the badger. Rule40: This is a basic rule: if the liger does not hide the cards that she has from the leopard, then the conclusion that the leopard disarms the pigeon follows immediately and effectively. Rule41: One of the rules of the game is that if the leopard does not reveal a secret to the zebra, then the zebra will never negotiate a deal with the mannikin. Rule42: If there is evidence that one animal, no matter which one, refuses to help the dove, then the butterfly swims in the pool next to the house of the goat undoubtedly. Rule43: Regarding the beaver, if it is more than 23 months old, then we can conclude that it shouts at the lizard. Rule44: Regarding the chihuahua, if it is in France at the moment, then we can conclude that it does not enjoy the company of the ostrich. Rule45: Regarding the basenji, if it created a time machine, then we can conclude that it does not neglect the mermaid. Rule46: If something unites with the elk, then it does not smile at the gorilla. Rule47: The dinosaur will not unite with the walrus if it (the dinosaur) took a bike from the store. Rule48: The living creature that swears to the poodle will also destroy the wall built by the llama, without a doubt. Rule49: If at least one animal captures the king of the wolf, then the reindeer creates one castle for the flamingo. Rule50: The leopard will not reveal a secret to the zebra, in the case where the coyote does not negotiate a deal with the leopard. Rule51: The beaver will not shout at the lizard if it (the beaver) is watching a movie that was released before Lionel Messi was born. Rule52: If there is evidence that one animal, no matter which one, stops the victory of the elk, then the chinchilla calls the dachshund undoubtedly. Rule53: The living creature that does not destroy the wall constructed by the beetle will smile at the frog with no doubts. Rule54: If at least one animal destroys the wall constructed by the fish, then the swallow swears to the dragon. Rule55: If the butterfly swims inside the pool located besides the house of the goat, then the goat unites with the stork. Rule56: Here is an important piece of information about the gadwall: if it is in Canada at the moment then it does not destroy the wall constructed by the songbird for sure. Rule57: The dinosaur will unite with the walrus if it (the dinosaur) is in Canada at the moment. Rule58: Regarding the akita, if it has a name whose first letter is the same as the first letter of the husky's name, then we can conclude that it does not borrow one of the weapons of the mermaid. Rule14 is preferred over Rule16. Rule15 is preferred over Rule49. Rule22 is preferred over Rule2. Rule28 is preferred over Rule20. Rule29 is preferred over Rule13. Rule3 is preferred over Rule42. Rule43 is preferred over Rule19. Rule43 is preferred over Rule51. Rule44 is preferred over Rule13. Rule45 is preferred over Rule2. Rule46 is preferred over Rule38. Rule47 is preferred over Rule24. Rule47 is preferred over Rule57. Rule56 is preferred over Rule35. Rule56 is preferred over Rule9. Rule6 is preferred over Rule19. Rule6 is preferred over Rule51. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the finch neglect the badger? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:146", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beetle reveals a secret to the seal. The bison shouts at the flamingo. The dragon has a card that is green in color. The elk creates one castle for the camel. The finch hides the cards that she has from the goat. The german shepherd lost her keys. The german shepherd trades one of its pieces with the dugong. The goat stole a bike from the store. The husky is currently in Lyon. The mannikin has some romaine lettuce. The peafowl has a card that is red in color. The starling does not leave the houses occupied by the woodpecker. And the rules of the game are as follows. Rule1: The woodpecker will not take over the emperor of the elk, in the case where the starling does not leave the houses that are occupied by the woodpecker. Rule2: If you are positive that you saw one of the animals creates one castle for the camel, you can be certain that it will also invest in the company owned by the crab. Rule3: There exists an animal which hides the cards that she has from the basenji? Then the butterfly definitely enjoys the company of the ant. Rule4: The frog does not swim in the pool next to the house of the bison whenever at least one animal hugs the owl. Rule5: Regarding the husky, if it is in France at the moment, then we can conclude that it does not tear down the castle that belongs to the chihuahua. Rule6: From observing that one animal invests in the company owned by the shark, one can conclude that it also destroys the wall constructed by the fangtooth, undoubtedly. Rule7: If you are positive that you saw one of the animals shouts at the bee, you can be certain that it will also capture the king (i.e. the most important piece) of the dove. Rule8: If you are positive that one of the animals does not take over the emperor of the mule, you can be certain that it will hide her cards from the elk without a doubt. Rule9: In order to conclude that the chihuahua shouts at the bee, two pieces of evidence are required: firstly the gadwall does not create one castle for the chihuahua and secondly the husky does not tear down the castle of the chihuahua. Rule10: Regarding the peafowl, if it has a card whose color is one of the rainbow colors, then we can conclude that it enjoys the companionship of the dachshund. Rule11: If something trades one of its pieces with the zebra, then it does not take over the emperor of the mule. Rule12: If the frog enjoys the company of the mermaid, then the mermaid is not going to stop the victory of the swallow. Rule13: There exists an animal which creates a castle for the leopard? Then, the german shepherd definitely does not neglect the swan. Rule14: From observing that one animal captures the king of the dove, one can conclude that it also takes over the emperor of the stork, undoubtedly. Rule15: This is a basic rule: if the mannikin does not negotiate a deal with the ant, then the conclusion that the ant invests in the company whose owner is the shark follows immediately and effectively. Rule16: The gorilla enjoys the company of the goat whenever at least one animal borrows a weapon from the woodpecker. Rule17: If something stops the victory of the husky and does not swim in the pool next to the house of the bison, then it enjoys the companionship of the mermaid. Rule18: If the dragon has a card whose color is one of the rainbow colors, then the dragon swims inside the pool located besides the house of the ant. Rule19: If the peafowl enjoys the companionship of the dachshund, then the dachshund manages to persuade the beaver. Rule20: The mannikin will not negotiate a deal with the ant if it (the mannikin) has a leafy green vegetable. Rule21: From observing that an animal does not surrender to the songbird, one can conclude the following: that animal will not create one castle for the leopard. Rule22: If the woodpecker has fewer than twelve friends, then the woodpecker takes over the emperor of the elk. Rule23: If the woodpecker does not take over the emperor of the elk, then the elk borrows one of the weapons of the woodpecker. Rule24: The living creature that trades one of the pieces in its possession with the dugong will also tear down the castle of the leopard, without a doubt. Rule25: If something does not stop the victory of the swallow, then it does not invest in the company owned by the chinchilla. Rule26: The living creature that manages to persuade the beaver will also trade one of its pieces with the zebra, without a doubt. Rule27: The dachshund does not trade one of its pieces with the zebra, in the case where the liger builds a power plant close to the green fields of the dachshund. Rule28: The frog stops the victory of the husky whenever at least one animal takes over the emperor of the stork. Rule29: From observing that an animal does not neglect the swan, one can conclude that it brings an oil tank for the crow. Rule30: If at least one animal brings an oil tank for the crow, then the goat calls the frog. Rule31: The fangtooth unquestionably hugs the owl, in the case where the ant destroys the wall constructed by the fangtooth. Rule32: There exists an animal which shouts at the flamingo? Then the bulldog definitely creates one castle for the leopard. Rule33: If at least one animal captures the king (i.e. the most important piece) of the dolphin, then the chihuahua does not capture the king (i.e. the most important piece) of the dove. Rule34: The gadwall does not create a castle for the chihuahua whenever at least one animal reveals a secret to the seal. Rule35: The goat unquestionably hides the cards that she has from the basenji, in the case where the finch hides the cards that she has from the goat. Rule21 is preferred over Rule32. Rule22 is preferred over Rule1. Rule27 is preferred over Rule26. Rule33 is preferred over Rule7. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the mermaid invest in the company whose owner is the chinchilla? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:147", "request": "A few players are playing a boardgame. The current state of the game is as follows. The camel is named Peddi. The dugong brings an oil tank for the bulldog. The gorilla is currently in Frankfurt. The llama reveals a secret to the dugong. The shark is named Pablo. And the rules of the game are as follows. Rule1: The living creature that surrenders to the chihuahua will also hide the cards that she has from the poodle, without a doubt. Rule2: If the walrus does not surrender to the goose, then the goose surrenders to the chihuahua. Rule3: For the goose, if the belief is that the seal shouts at the goose and the cougar does not swim inside the pool located besides the house of the goose, then you can add \"the goose manages to persuade the swan\" to your conclusions. Rule4: Be careful when something does not suspect the truthfulness of the cobra but suspects the truthfulness of the peafowl because in this case it will, surely, manage to convince the bear (this may or may not be problematic). Rule5: Here is an important piece of information about the camel: if it has a name whose first letter is the same as the first letter of the shark's name then it reveals a secret to the seahorse for sure. Rule6: The living creature that refuses to help the coyote will never bring an oil tank for the reindeer. Rule7: The swan unquestionably tears down the castle of the badger, in the case where the goose does not manage to persuade the swan. Rule8: The gorilla will want to see the seahorse if it (the gorilla) is in Germany at the moment. Rule9: If at least one animal stops the victory of the coyote, then the walrus does not surrender to the goose. Rule10: If something hides her cards from the poodle, then it does not manage to convince the swan. Rule11: This is a basic rule: if the swan tears down the castle that belongs to the badger, then the conclusion that \"the badger refuses to help the coyote\" follows immediately and effectively. Rule12: One of the rules of the game is that if the gorilla wants to see the seahorse, then the seahorse will never suspect the truthfulness of the cobra. Rule13: There exists an animal which manages to persuade the bear? Then, the cougar definitely does not swim in the pool next to the house of the goose. Rule14: One of the rules of the game is that if the camel reveals a secret to the seahorse, then the seahorse will, without hesitation, suspect the truthfulness of the peafowl. Rule15: There exists an animal which acquires a photograph of the goat? Then, the camel definitely does not reveal a secret to the seahorse. Rule16: If you are positive that you saw one of the animals brings an oil tank for the bulldog, you can be certain that it will also stop the victory of the coyote. Rule17: The living creature that neglects the bulldog will never hide the cards that she has from the poodle. Rule15 is preferred over Rule5. Rule17 is preferred over Rule1. Rule3 is preferred over Rule10. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the badger bring an oil tank for the reindeer? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:150", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant is named Meadow. The bulldog is watching a movie from 2023, and reduced her work hours recently. The dalmatian has a football with a radius of 30 inches, and will turn 2 years old in a few minutes. The dalmatian is named Pablo. The elk has a couch. The elk has one friend that is smart and two friends that are not. The liger has 56 dollars. The mannikin has a 18 x 17 inches notebook. The ostrich has 28 dollars. The swallow has a basketball with a diameter of 21 inches. The swallow has a card that is black in color. The worm is named Max. And the rules of the game are as follows. Rule1: This is a basic rule: if the finch reveals something that is supposed to be a secret to the camel, then the conclusion that \"the camel will not hide her cards from the woodpecker\" follows immediately and effectively. Rule2: If you see that something leaves the houses that are occupied by the chihuahua but does not hide her cards from the woodpecker, what can you certainly conclude? You can conclude that it brings an oil tank for the basenji. Rule3: This is a basic rule: if the goat shouts at the camel, then the conclusion that \"the camel will not bring an oil tank for the basenji\" follows immediately and effectively. Rule4: If at least one animal disarms the mouse, then the camel pays money to the beaver. Rule5: The camel hides her cards from the woodpecker whenever at least one animal invests in the company whose owner is the bear. Rule6: The bulldog will not surrender to the bison if it (the bulldog) works in computer science and engineering. Rule7: If at least one animal stops the victory of the goat, then the bulldog disarms the mouse. Rule8: The dragonfly swims in the pool next to the house of the worm whenever at least one animal neglects the reindeer. Rule9: If the flamingo does not hide the cards that she has from the vampire, then the vampire does not negotiate a deal with the camel. Rule10: The snake does not tear down the castle of the duck, in the case where the dalmatian dances with the snake. Rule11: There exists an animal which unites with the frog? Then the mermaid definitely neglects the reindeer. Rule12: If the mannikin has a notebook that fits in a 20.5 x 19.2 inches box, then the mannikin takes over the emperor of the seal. Rule13: If you are positive that you saw one of the animals suspects the truthfulness of the pelikan, you can be certain that it will also unite with the frog. Rule14: If something does not destroy the wall built by the dachshund, then it hugs the chinchilla. Rule15: If the camel brings an oil tank for the basenji and the german shepherd does not swim inside the pool located besides the house of the basenji, then the basenji will never tear down the castle of the otter. Rule16: Regarding the bulldog, if it is watching a movie that was released after Justin Trudeau became the prime minister of Canada, then we can conclude that it surrenders to the bison. Rule17: If there is evidence that one animal, no matter which one, refuses to help the poodle, then the owl is not going to unite with the frog. Rule18: If at least one animal pays some $$$ to the beaver, then the vampire negotiates a deal with the camel. Rule19: One of the rules of the game is that if the bulldog surrenders to the bison, then the bison will, without hesitation, stop the victory of the goat. Rule20: Here is an important piece of information about the bulldog: if it works fewer hours than before then it does not destroy the wall constructed by the dachshund for sure. Rule21: Regarding the dalmatian, if it has a name whose first letter is the same as the first letter of the owl's name, then we can conclude that it does not dance with the snake. Rule22: One of the rules of the game is that if the worm negotiates a deal with the german shepherd, then the german shepherd will never swim inside the pool located besides the house of the basenji. Rule23: If the liger has more money than the ostrich, then the liger builds a power plant close to the green fields of the songbird. Rule24: Here is an important piece of information about the swallow: if it has a card whose color starts with the letter \"l\" then it does not create a castle for the bulldog for sure. Rule25: The dalmatian will dance with the snake if it (the dalmatian) has a football that fits in a 64.6 x 63.7 x 54.8 inches box. Rule26: One of the rules of the game is that if the vampire negotiates a deal with the camel, then the camel will, without hesitation, leave the houses that are occupied by the chihuahua. Rule27: If the snake does not tear down the castle of the duck, then the duck destroys the wall built by the cobra. Rule28: From observing that an animal does not pay money to the beetle, one can conclude the following: that animal will not neglect the reindeer. Rule29: If the badger unites with the mannikin, then the mannikin builds a power plant near the green fields of the butterfly. Rule30: The living creature that takes over the emperor of the seal will also refuse to help the coyote, without a doubt. Rule31: One of the rules of the game is that if the dolphin unites with the bison, then the bison will never stop the victory of the goat. Rule32: If you are positive that one of the animals does not build a power plant near the green fields of the butterfly, you can be certain that it will call the woodpecker without a doubt. Rule33: If there is evidence that one animal, no matter which one, brings an oil tank for the leopard, then the worm trades one of the pieces in its possession with the lizard undoubtedly. Rule34: The worm unquestionably negotiates a deal with the german shepherd, in the case where the dragonfly swims in the pool next to the house of the worm. Rule35: The living creature that does not surrender to the monkey will enjoy the company of the rhino with no doubts. Rule36: Here is an important piece of information about the elk: if it has something to sit on then it stops the victory of the gorilla for sure. Rule37: If at least one animal calls the woodpecker, then the pigeon leaves the houses that are occupied by the finch. Rule38: If the liger is in Canada at the moment, then the liger does not build a power plant near the green fields of the songbird. Rule39: One of the rules of the game is that if the duck destroys the wall built by the cobra, then the cobra will, without hesitation, fall on a square of the akita. Rule40: Here is an important piece of information about the swallow: if it has a basketball that fits in a 25.8 x 24.9 x 26.7 inches box then it does not create a castle for the bulldog for sure. Rule41: The elk will not enjoy the companionship of the rhino if it (the elk) has fewer than four friends. Rule42: The mannikin does not build a power plant near the green fields of the butterfly whenever at least one animal builds a power plant close to the green fields of the songbird. Rule43: If something does not enjoy the companionship of the rhino, then it captures the king of the llama. Rule44: If there is evidence that one animal, no matter which one, neglects the vampire, then the swallow creates one castle for the bulldog undoubtedly. Rule45: Regarding the dalmatian, if it is less than 5 and a half years old, then we can conclude that it dances with the snake. Rule46: One of the rules of the game is that if the bee shouts at the snake, then the snake will, without hesitation, tear down the castle of the duck. Rule47: One of the rules of the game is that if the cobra falls on a square that belongs to the akita, then the akita will, without hesitation, swim inside the pool located besides the house of the camel. Rule48: This is a basic rule: if the pigeon leaves the houses that are occupied by the finch, then the conclusion that \"the finch reveals a secret to the camel\" follows immediately and effectively. Rule49: The worm will smile at the owl if it (the worm) has a name whose first letter is the same as the first letter of the ant's name. Rule50: One of the rules of the game is that if the worm smiles at the owl, then the owl will, without hesitation, suspect the truthfulness of the pelikan. Rule51: This is a basic rule: if the reindeer captures the king (i.e. the most important piece) of the german shepherd, then the conclusion that \"the german shepherd swims inside the pool located besides the house of the basenji\" follows immediately and effectively. Rule52: This is a basic rule: if the cobra does not destroy the wall built by the akita, then the conclusion that the akita will not swim in the pool next to the house of the camel follows immediately and effectively. Rule53: One of the rules of the game is that if the seahorse reveals something that is supposed to be a secret to the duck, then the duck will never destroy the wall constructed by the cobra. Rule54: If at least one animal captures the king (i.e. the most important piece) of the llama, then the shark enjoys the companionship of the husky. Rule55: This is a basic rule: if the shark enjoys the company of the husky, then the conclusion that \"the husky brings an oil tank for the leopard\" follows immediately and effectively. Rule17 is preferred over Rule13. Rule21 is preferred over Rule25. Rule21 is preferred over Rule45. Rule28 is preferred over Rule11. Rule29 is preferred over Rule42. Rule3 is preferred over Rule2. Rule31 is preferred over Rule19. Rule35 is preferred over Rule41. Rule38 is preferred over Rule23. Rule44 is preferred over Rule24. Rule44 is preferred over Rule40. Rule46 is preferred over Rule10. Rule5 is preferred over Rule1. Rule51 is preferred over Rule22. Rule52 is preferred over Rule47. Rule53 is preferred over Rule27. Rule6 is preferred over Rule16. Rule9 is preferred over Rule18. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the basenji tear down the castle that belongs to the otter? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:151", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beaver neglects the dragonfly. The cobra enjoys the company of the woodpecker. The coyote published a high-quality paper. The dove is a software developer. The ostrich is named Beauty. The reindeer brings an oil tank for the bear. The songbird is named Blossom. The vampire trades one of its pieces with the dachshund. The walrus negotiates a deal with the dove. The bulldog does not smile at the coyote. The cougar does not capture the king of the husky. The snake does not disarm the elk. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the pelikan does not tear down the castle that belongs to the shark, then the shark will, without hesitation, smile at the gorilla. Rule2: If you see that something does not swear to the pigeon and also does not build a power plant near the green fields of the rhino, what can you certainly conclude? You can conclude that it also wants to see the flamingo. Rule3: The coyote unquestionably unites with the chinchilla, in the case where the bulldog does not smile at the coyote. Rule4: If the stork invests in the company owned by the coyote and the crow does not invest in the company whose owner is the coyote, then, inevitably, the coyote shouts at the starling. Rule5: One of the rules of the game is that if the shark does not smile at the gorilla, then the gorilla will, without hesitation, build a power plant close to the green fields of the beaver. Rule6: Here is an important piece of information about the ostrich: if it has a name whose first letter is the same as the first letter of the songbird's name then it surrenders to the mule for sure. Rule7: If something neglects the dragonfly, then it wants to see the poodle, too. Rule8: One of the rules of the game is that if the dragon dances with the beaver, then the beaver will never build a power plant near the green fields of the rhino. Rule9: There exists an animal which invests in the company owned by the swallow? Then the dragon definitely falls on a square that belongs to the dinosaur. Rule10: If the starling creates a castle for the beaver, then the beaver is not going to swear to the pigeon. Rule11: From observing that one animal wants to see the duck, one can conclude that it also hugs the gadwall, undoubtedly. Rule12: If you are positive that you saw one of the animals unites with the chinchilla, you can be certain that it will not stop the victory of the lizard. Rule13: From observing that one animal swears to the owl, one can conclude that it also captures the king (i.e. the most important piece) of the llama, undoubtedly. Rule14: If something does not capture the king of the husky, then it destroys the wall constructed by the stork. Rule15: The living creature that brings an oil tank for the bear will also swim inside the pool located besides the house of the wolf, without a doubt. Rule16: If the dove works in computer science and engineering, then the dove negotiates a deal with the swan. Rule17: One of the rules of the game is that if the dugong does not unite with the beaver, then the beaver will, without hesitation, reveal something that is supposed to be a secret to the badger. Rule18: There exists an animal which trades one of its pieces with the dachshund? Then the dalmatian definitely reveals something that is supposed to be a secret to the leopard. Rule19: From observing that an animal does not stop the victory of the lizard, one can conclude the following: that animal will not shout at the starling. Rule20: The dove does not negotiate a deal with the swan, in the case where the walrus negotiates a deal with the dove. Rule21: If the coyote does not shout at the starling, then the starling creates a castle for the beaver. Rule22: If you are positive that you saw one of the animals falls on a square that belongs to the dinosaur, you can be certain that it will also dance with the beaver. Rule23: The living creature that does not reveal something that is supposed to be a secret to the badger will never dance with the badger. Rule24: If the monkey does not fall on a square of the bee, then the bee enjoys the companionship of the reindeer. Rule25: The living creature that wants to see the poodle will also create a castle for the chihuahua, without a doubt. Rule26: This is a basic rule: if the beaver does not reveal something that is supposed to be a secret to the german shepherd, then the conclusion that the german shepherd will not trade one of the pieces in its possession with the fangtooth follows immediately and effectively. Rule27: If there is evidence that one animal, no matter which one, enjoys the company of the woodpecker, then the snake swears to the owl undoubtedly. Rule28: If you are positive that you saw one of the animals wants to see the flamingo, you can be certain that it will not reveal something that is supposed to be a secret to the german shepherd. Rule29: If something swims inside the pool located besides the house of the wolf, then it invests in the company owned by the swallow, too. Rule30: If there is evidence that one animal, no matter which one, captures the king (i.e. the most important piece) of the llama, then the shark is not going to smile at the gorilla. Rule31: The monkey does not fall on a square that belongs to the bee whenever at least one animal hugs the gadwall. Rule32: If something reveals something that is supposed to be a secret to the leopard, then it wants to see the duck, too. Rule33: If you are positive that you saw one of the animals creates one castle for the chihuahua, you can be certain that it will not reveal something that is supposed to be a secret to the badger. Rule34: There exists an animal which surrenders to the mule? Then the stork definitely invests in the company owned by the coyote. Rule1 is preferred over Rule30. Rule16 is preferred over Rule20. Rule17 is preferred over Rule33. Rule4 is preferred over Rule19. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the german shepherd trade one of its pieces with the fangtooth? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:152", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has a card that is yellow in color, and is nineteen months old. The akita is named Charlie. The basenji calls the starling. The beaver is named Lola. The beaver is a marketing manager. The camel has a 10 x 15 inches notebook. The camel is watching a movie from 1970. The cougar destroys the wall constructed by the zebra. The dachshund is named Luna. The dove is watching a movie from 2023. The fangtooth has 83 dollars, and is a web developer. The frog destroys the wall constructed by the dragonfly. The gadwall invests in the company whose owner is the bee. The liger has a 11 x 20 inches notebook. The liger is watching a movie from 2008, and parked her bike in front of the store. The liger is 4 and a half months old. The mannikin is named Beauty. The peafowl has a football with a radius of 27 inches. The reindeer has 68 dollars. The cobra does not bring an oil tank for the liger. And the rules of the game are as follows. Rule1: The liger will swear to the flamingo if it (the liger) took a bike from the store. Rule2: The camel will invest in the company whose owner is the badger if it (the camel) is watching a movie that was released before the Internet was invented. Rule3: If there is evidence that one animal, no matter which one, swears to the mermaid, then the crow is not going to shout at the mouse. Rule4: The wolf manages to persuade the finch whenever at least one animal falls on a square that belongs to the poodle. Rule5: There exists an animal which falls on a square of the elk? Then the badger definitely invests in the company whose owner is the seahorse. Rule6: If at least one animal leaves the houses that are occupied by the ant, then the german shepherd swims in the pool next to the house of the monkey. Rule7: The stork does not dance with the owl, in the case where the ostrich pays money to the stork. Rule8: If something calls the dragon, then it refuses to help the dugong, too. Rule9: There exists an animal which destroys the wall constructed by the zebra? Then the fish definitely falls on a square that belongs to the elk. Rule10: From observing that one animal falls on a square of the vampire, one can conclude that it also unites with the seal, undoubtedly. Rule11: If there is evidence that one animal, no matter which one, negotiates a deal with the frog, then the crow is not going to fall on a square of the vampire. Rule12: If you are positive that you saw one of the animals borrows a weapon from the pelikan, you can be certain that it will also stop the victory of the dinosaur. Rule13: If you are positive that you saw one of the animals creates a castle for the goose, you can be certain that it will not take over the emperor of the dachshund. Rule14: Here is an important piece of information about the akita: if it has a name whose first letter is the same as the first letter of the mannikin's name then it does not swear to the mermaid for sure. Rule15: From observing that an animal does not shout at the mouse, one can conclude that it falls on a square of the coyote. Rule16: If you are positive that you saw one of the animals dances with the ant, you can be certain that it will also take over the emperor of the butterfly. Rule17: If there is evidence that one animal, no matter which one, swims inside the pool located besides the house of the walrus, then the pigeon falls on a square that belongs to the poodle undoubtedly. Rule18: If the peafowl has a football that fits in a 61.4 x 58.8 x 58.1 inches box, then the peafowl leaves the houses occupied by the ant. Rule19: From observing that an animal manages to persuade the german shepherd, one can conclude the following: that animal does not leave the houses occupied by the swan. Rule20: If something stops the victory of the dinosaur, then it manages to convince the crab, too. Rule21: From observing that one animal takes over the emperor of the dachshund, one can conclude that it also surrenders to the badger, undoubtedly. Rule22: Be careful when something captures the king (i.e. the most important piece) of the bison but does not surrender to the bulldog because in this case it will, surely, fall on a square that belongs to the vampire (this may or may not be problematic). Rule23: If the lizard unites with the leopard, then the leopard stops the victory of the lizard. Rule24: The akita will swear to the mermaid if it (the akita) has a card whose color starts with the letter \"y\". Rule25: The crab unquestionably pays money to the stork, in the case where the badger manages to convince the crab. Rule26: If the beaver swims inside the pool located besides the house of the ostrich, then the ostrich pays some $$$ to the stork. Rule27: If something brings an oil tank for the chinchilla, then it captures the king (i.e. the most important piece) of the bison, too. Rule28: The liger will swear to the flamingo if it (the liger) has a notebook that fits in a 25.6 x 16.6 inches box. Rule29: If the cobra does not bring an oil tank for the liger, then the liger swims inside the pool located besides the house of the dalmatian. Rule30: The fangtooth will neglect the snake if it (the fangtooth) works in healthcare. Rule31: From observing that an animal falls on a square that belongs to the coyote, one can conclude the following: that animal does not surrender to the bulldog. Rule32: There exists an animal which smiles at the finch? Then, the crab definitely does not leave the houses occupied by the swallow. Rule33: If the walrus wants to see the gorilla, then the gorilla calls the seal. Rule34: The akita will swear to the mermaid if it (the akita) is less than fourteen months old. Rule35: If there is evidence that one animal, no matter which one, refuses to help the dugong, then the crow brings an oil tank for the chinchilla undoubtedly. Rule36: If there is evidence that one animal, no matter which one, swims inside the pool located besides the house of the beetle, then the crab is not going to dance with the ant. Rule37: The duck swears to the worm whenever at least one animal calls the starling. Rule38: There exists an animal which destroys the wall built by the dragonfly? Then the dolphin definitely calls the dragon. Rule39: The beaver will swim inside the pool located besides the house of the ostrich if it (the beaver) has a name whose first letter is the same as the first letter of the dachshund's name. Rule40: If the fangtooth works fewer hours than before, then the fangtooth does not neglect the snake. Rule41: If you are positive that you saw one of the animals refuses to help the lizard, you can be certain that it will not call the seal. Rule42: There exists an animal which dances with the zebra? Then the badger definitely calls the fish. Rule43: There exists an animal which swims inside the pool located besides the house of the monkey? Then the crab definitely leaves the houses that are occupied by the swan. Rule44: The akita will not swear to the mermaid if it (the akita) is in Canada at the moment. Rule45: From observing that one animal invests in the company owned by the bee, one can conclude that it also swims inside the pool located besides the house of the walrus, undoubtedly. Rule46: Here is an important piece of information about the dove: if it is watching a movie that was released after Maradona died then it destroys the wall built by the crow for sure. Rule47: This is a basic rule: if the stork does not dance with the owl, then the conclusion that the owl takes over the emperor of the dachshund follows immediately and effectively. Rule48: From observing that one animal swims inside the pool located besides the house of the dalmatian, one can conclude that it also takes over the emperor of the coyote, undoubtedly. Rule49: If you are positive that one of the animals does not stop the victory of the lizard, you can be certain that it will call the walrus without a doubt. Rule50: There exists an animal which pays some $$$ to the otter? Then, the leopard definitely does not stop the victory of the lizard. Rule51: If at least one animal swears to the worm, then the fangtooth does not pay money to the otter. Rule52: If something neglects the snake, then it pays money to the otter, too. Rule53: This is a basic rule: if the woodpecker invests in the company owned by the dolphin, then the conclusion that \"the dolphin will not refuse to help the dugong\" follows immediately and effectively. Rule54: If something takes over the emperor of the butterfly, then it tears down the castle of the beaver, too. Rule55: Regarding the fangtooth, if it has more money than the reindeer, then we can conclude that it neglects the snake. Rule56: In order to conclude that the seal smiles at the finch, two pieces of evidence are required: firstly the crow should unite with the seal and secondly the gorilla should call the seal. Rule57: If there is evidence that one animal, no matter which one, captures the king (i.e. the most important piece) of the worm, then the walrus is not going to want to see the gorilla. Rule58: If something invests in the company owned by the seahorse, then it does not call the fish. Rule59: From observing that one animal leaves the houses that are occupied by the swan, one can conclude that it also dances with the ant, undoubtedly. Rule60: If something does not call the fish, then it borrows a weapon from the pelikan. Rule61: Here is an important piece of information about the liger: if it has more than six friends then it does not swear to the flamingo for sure. Rule62: One of the rules of the game is that if the leopard calls the walrus, then the walrus will, without hesitation, want to see the gorilla. Rule63: If the beaver works in education, then the beaver swims in the pool next to the house of the ostrich. Rule11 is preferred over Rule22. Rule13 is preferred over Rule47. Rule14 is preferred over Rule24. Rule14 is preferred over Rule34. Rule19 is preferred over Rule43. Rule23 is preferred over Rule50. Rule36 is preferred over Rule59. Rule40 is preferred over Rule30. Rule40 is preferred over Rule55. Rule41 is preferred over Rule33. Rule42 is preferred over Rule58. Rule44 is preferred over Rule24. Rule44 is preferred over Rule34. Rule52 is preferred over Rule51. Rule53 is preferred over Rule8. Rule57 is preferred over Rule62. Rule61 is preferred over Rule1. Rule61 is preferred over Rule28. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the crab leave the houses occupied by the swallow? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:153", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog has a card that is orange in color. The bulldog is watching a movie from 1976. The butterfly shouts at the basenji. The cobra reveals a secret to the dragonfly. The coyote has 61 dollars. The crow surrenders to the dalmatian. The dalmatian was born 3 weeks ago. The dolphin is named Tarzan, is a software developer, and will turn 25 months old in a few minutes. The lizard has 46 dollars. The mouse has a basketball with a diameter of 29 inches. The mouse has a guitar. The peafowl surrenders to the fish. The pelikan is named Cinnamon. The swallow has 72 dollars, has a card that is red in color, and is currently in Turin. The swallow has a football with a radius of 21 inches. The walrus has a tablet, and is a nurse. The finch does not capture the king of the swan. And the rules of the game are as follows. Rule1: If at least one animal takes over the emperor of the goose, then the frog does not fall on a square that belongs to the beaver. Rule2: If you are positive that you saw one of the animals enjoys the companionship of the rhino, you can be certain that it will also want to see the mermaid. Rule3: The stork does not call the cougar, in the case where the ostrich shouts at the stork. Rule4: If something does not capture the king of the pigeon, then it invests in the company whose owner is the woodpecker. Rule5: If the dolphin has fewer than twelve friends, then the dolphin does not call the bison. Rule6: There exists an animal which surrenders to the fish? Then the swallow definitely enjoys the companionship of the rhino. Rule7: The owl does not unite with the otter whenever at least one animal calls the bison. Rule8: Here is an important piece of information about the dolphin: if it is more than one year old then it calls the bison for sure. Rule9: If the mouse has a device to connect to the internet, then the mouse pays money to the llama. Rule10: If something does not swim in the pool next to the house of the dachshund, then it does not want to see the badger. Rule11: The dove does not acquire a photograph of the crab, in the case where the dachshund pays some $$$ to the dove. Rule12: One of the rules of the game is that if the bee wants to see the badger, then the badger will, without hesitation, hide her cards from the elk. Rule13: If something suspects the truthfulness of the german shepherd, then it unites with the liger, too. Rule14: There exists an animal which unites with the liger? Then the camel definitely wants to see the duck. Rule15: Regarding the swallow, if it has a card with a primary color, then we can conclude that it wants to see the starling. Rule16: For the ostrich, if the belief is that the vampire wants to see the ostrich and the owl hugs the ostrich, then you can add that \"the ostrich is not going to shout at the stork\" to your conclusions. Rule17: If at least one animal hugs the flamingo, then the goat does not invest in the company whose owner is the woodpecker. Rule18: If you are positive that one of the animals does not call the cougar, you can be certain that it will not hide her cards from the bear. Rule19: One of the rules of the game is that if the shark borrows a weapon from the worm, then the worm will never take over the emperor of the goose. Rule20: If there is evidence that one animal, no matter which one, surrenders to the elk, then the dove acquires a photograph of the crab undoubtedly. Rule21: If at least one animal shouts at the mule, then the swallow trades one of the pieces in its possession with the poodle. Rule22: The dalmatian will not shout at the mule if it (the dalmatian) is in Canada at the moment. Rule23: If there is evidence that one animal, no matter which one, negotiates a deal with the wolf, then the owl is not going to hug the ostrich. Rule24: If at least one animal smiles at the gorilla, then the camel stops the victory of the duck. Rule25: If something reveals something that is supposed to be a secret to the dragonfly, then it smiles at the fangtooth, too. Rule26: From observing that an animal surrenders to the mannikin, one can conclude the following: that animal does not refuse to help the bear. Rule27: The mouse will pay money to the llama if it (the mouse) has a basketball that fits in a 30.1 x 36.2 x 33.8 inches box. Rule28: If you see that something calls the dugong but does not acquire a photograph of the otter, what can you certainly conclude? You can conclude that it swims in the pool next to the house of the songbird. Rule29: The goat will not capture the king (i.e. the most important piece) of the pigeon, in the case where the husky does not suspect the truthfulness of the goat. Rule30: If something suspects the truthfulness of the gadwall, then it unites with the otter, too. Rule31: If the dove unites with the seal, then the seal is not going to acquire a photo of the otter. Rule32: If the snake tears down the castle that belongs to the frog, then the frog falls on a square of the beaver. Rule33: The living creature that trades one of the pieces in its possession with the poodle will never shout at the ostrich. Rule34: The chihuahua does not dance with the zebra whenever at least one animal neglects the reindeer. Rule35: If something does not capture the king of the swan, then it captures the king (i.e. the most important piece) of the dragon. Rule36: The living creature that manages to convince the chinchilla will never dance with the husky. Rule37: If the leopard tears down the castle that belongs to the beetle, then the beetle neglects the reindeer. Rule38: If something does not dance with the zebra, then it does not acquire a photograph of the dugong. Rule39: The dove unites with the seal whenever at least one animal hides the cards that she has from the elk. Rule40: If you are positive that you saw one of the animals takes over the emperor of the monkey, you can be certain that it will also dance with the zebra. Rule41: This is a basic rule: if the stork does not build a power plant close to the green fields of the seal, then the conclusion that the seal will not swim inside the pool located besides the house of the songbird follows immediately and effectively. Rule42: From observing that an animal does not fall on a square that belongs to the beaver, one can conclude the following: that animal will not hide her cards from the akita. Rule43: If something invests in the company whose owner is the dinosaur, then it hides her cards from the bear, too. Rule44: Here is an important piece of information about the bulldog: if it is watching a movie that was released after Zinedine Zidane was born then it acquires a photograph of the bee for sure. Rule45: If you are positive that one of the animals does not hide the cards that she has from the akita, you can be certain that it will create a castle for the stork without a doubt. Rule46: There exists an animal which captures the king (i.e. the most important piece) of the dragon? Then the worm definitely takes over the emperor of the goose. Rule47: Here is an important piece of information about the walrus: if it works in agriculture then it dances with the husky for sure. Rule48: This is a basic rule: if the chihuahua does not tear down the castle of the seal, then the conclusion that the seal calls the dugong follows immediately and effectively. Rule49: The living creature that acquires a photo of the bee will also surrender to the elk, without a doubt. Rule50: From observing that an animal does not hide her cards from the bear, one can conclude the following: that animal will not build a power plant near the green fields of the seal. Rule51: If you are positive that one of the animals does not acquire a photograph of the dugong, you can be certain that it will not tear down the castle of the seal. Rule52: If something wants to see the duck, then it does not stop the victory of the duck. Rule53: Regarding the dalmatian, if it is more than two years old, then we can conclude that it does not shout at the mule. Rule54: The swallow will not enjoy the company of the rhino if it (the swallow) has more money than the coyote and the lizard combined. Rule55: If there is evidence that one animal, no matter which one, acquires a photograph of the crab, then the bee wants to see the badger undoubtedly. Rule56: The ostrich unquestionably shouts at the stork, in the case where the swallow does not shout at the ostrich. Rule57: There exists an animal which pays money to the llama? Then the leopard definitely tears down the castle that belongs to the beetle. Rule58: Here is an important piece of information about the dolphin: if it has a name whose first letter is the same as the first letter of the pelikan's name then it calls the bison for sure. Rule59: One of the rules of the game is that if the frog creates a castle for the stork, then the stork will, without hesitation, refuse to help the bear. Rule60: The living creature that does not unite with the otter will hug the ostrich with no doubts. Rule61: If there is evidence that one animal, no matter which one, invests in the company owned by the woodpecker, then the stork surrenders to the mannikin undoubtedly. Rule62: If the dolphin works in education, then the dolphin does not call the bison. Rule63: The dalmatian unquestionably shouts at the mule, in the case where the crow surrenders to the dalmatian. Rule64: If you are positive that you saw one of the animals shouts at the basenji, you can be certain that it will also suspect the truthfulness of the german shepherd. Rule65: Here is an important piece of information about the bulldog: if it has a card whose color starts with the letter \"r\" then it acquires a photograph of the bee for sure. Rule66: If at least one animal smiles at the fangtooth, then the husky does not suspect the truthfulness of the goat. Rule67: The living creature that stops the victory of the ant will never tear down the castle that belongs to the beetle. Rule68: The duck unquestionably shouts at the chihuahua, in the case where the camel does not stop the victory of the duck. Rule69: Regarding the swallow, if it is in Canada at the moment, then we can conclude that it wants to see the starling. Rule70: If the walrus has a device to connect to the internet, then the walrus dances with the husky. Rule71: There exists an animal which smiles at the seahorse? Then, the frog definitely does not create one castle for the stork. Rule10 is preferred over Rule55. Rule11 is preferred over Rule20. Rule16 is preferred over Rule56. Rule17 is preferred over Rule4. Rule19 is preferred over Rule46. Rule22 is preferred over Rule63. Rule23 is preferred over Rule60. Rule24 is preferred over Rule52. Rule30 is preferred over Rule7. Rule32 is preferred over Rule1. Rule36 is preferred over Rule47. Rule36 is preferred over Rule70. Rule40 is preferred over Rule34. Rule41 is preferred over Rule28. Rule43 is preferred over Rule18. Rule5 is preferred over Rule58. Rule5 is preferred over Rule8. Rule53 is preferred over Rule63. Rule59 is preferred over Rule26. Rule6 is preferred over Rule54. Rule62 is preferred over Rule58. Rule62 is preferred over Rule8. Rule67 is preferred over Rule57. Rule71 is preferred over Rule45. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the seal swim in the pool next to the house of the songbird? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:154", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant is named Tessa. The coyote has 86 dollars. The dugong unites with the flamingo. The elk suspects the truthfulness of the woodpecker. The flamingo dreamed of a luxury aircraft. The flamingo is a teacher assistant. The gadwall has 3 friends, and has a saxophone. The goat has a 18 x 14 inches notebook. The otter has 2 friends that are lazy and seven friends that are not. The reindeer wants to see the flamingo. The songbird has a cello. The songbird is named Teddy. The walrus has 57 dollars. The duck does not create one castle for the starling. And the rules of the game are as follows. Rule1: There exists an animal which suspects the truthfulness of the dachshund? Then, the coyote definitely does not borrow a weapon from the dinosaur. Rule2: If the coyote borrows a weapon from the dinosaur, then the dinosaur pays money to the pelikan. Rule3: If you are positive that one of the animals does not swim inside the pool located besides the house of the owl, you can be certain that it will enjoy the company of the fish without a doubt. Rule4: This is a basic rule: if the goat brings an oil tank for the flamingo, then the conclusion that \"the flamingo unites with the vampire\" follows immediately and effectively. Rule5: If there is evidence that one animal, no matter which one, swears to the otter, then the badger captures the king of the cougar undoubtedly. Rule6: Here is an important piece of information about the flamingo: if it works in education then it does not hide the cards that she has from the chihuahua for sure. Rule7: The songbird will not shout at the dove if it (the songbird) has a musical instrument. Rule8: Here is an important piece of information about the songbird: if it has a name whose first letter is the same as the first letter of the ant's name then it creates a castle for the owl for sure. Rule9: If the otter is in South America at the moment, then the otter does not swim in the pool next to the house of the seahorse. Rule10: If the dalmatian surrenders to the beetle, then the beetle is not going to dance with the pelikan. Rule11: If the goat has a notebook that fits in a 17.8 x 23.8 inches box, then the goat negotiates a deal with the bear. Rule12: From observing that an animal does not create one castle for the starling, one can conclude that it manages to persuade the mannikin. Rule13: The living creature that captures the king (i.e. the most important piece) of the bulldog will never disarm the peafowl. Rule14: If the goat negotiates a deal with the bear, then the bear calls the flamingo. Rule15: If at least one animal captures the king (i.e. the most important piece) of the cougar, then the mermaid acquires a photograph of the vampire. Rule16: If something creates a castle for the owl, then it stops the victory of the mannikin, too. Rule17: Are you certain that one of the animals does not unite with the vampire but it does swear to the leopard? Then you can also be certain that this animal suspects the truthfulness of the pigeon. Rule18: The peafowl stops the victory of the mannikin whenever at least one animal reveals a secret to the worm. Rule19: If there is evidence that one animal, no matter which one, destroys the wall built by the liger, then the mannikin shouts at the lizard undoubtedly. Rule20: The otter wants to see the dolphin whenever at least one animal destroys the wall constructed by the poodle. Rule21: From observing that one animal suspects the truthfulness of the woodpecker, one can conclude that it also reveals a secret to the worm, undoubtedly. Rule22: If something enjoys the company of the fish, then it does not shout at the lizard. Rule23: If there is evidence that one animal, no matter which one, suspects the truthfulness of the pigeon, then the swallow neglects the stork undoubtedly. Rule24: Regarding the flamingo, if it owns a luxury aircraft, then we can conclude that it does not hide her cards from the chihuahua. Rule25: The gadwall will destroy the wall built by the poodle if it (the gadwall) has a musical instrument. Rule26: From observing that one animal acquires a photograph of the snake, one can conclude that it also swears to the leopard, undoubtedly. Rule27: From observing that one animal builds a power plant near the green fields of the german shepherd, one can conclude that it also shouts at the dove, undoubtedly. Rule28: If the coyote has more money than the walrus, then the coyote borrows a weapon from the dinosaur. Rule29: From observing that an animal smiles at the dinosaur, one can conclude the following: that animal does not enjoy the company of the beaver. Rule30: The living creature that neglects the stork will also smile at the dinosaur, without a doubt. Rule31: One of the rules of the game is that if the duck manages to convince the mannikin, then the mannikin will, without hesitation, capture the king of the bulldog. Rule32: If you are positive that you saw one of the animals hugs the dragonfly, you can be certain that it will not capture the king (i.e. the most important piece) of the bulldog. Rule33: This is a basic rule: if the otter wants to see the dolphin, then the conclusion that \"the dolphin captures the king of the poodle\" follows immediately and effectively. Rule34: There exists an animal which pays money to the pelikan? Then the beetle definitely dances with the pelikan. Rule35: From observing that an animal does not shout at the lizard, one can conclude that it swears to the dove. Rule36: The flamingo unquestionably dances with the crab, in the case where the bear calls the flamingo. Rule37: Here is an important piece of information about the otter: if it has fewer than 13 friends then it swims in the pool next to the house of the seahorse for sure. Rule38: If the reindeer wants to see the flamingo and the dugong unites with the flamingo, then the flamingo will not acquire a photograph of the seal. Rule39: If the peafowl stops the victory of the mannikin, then the mannikin is not going to swim inside the pool located besides the house of the owl. Rule40: If you are positive that one of the animals does not surrender to the butterfly, you can be certain that it will acquire a photo of the snake without a doubt. Rule41: The living creature that dances with the crab will never unite with the vampire. Rule42: The goat does not negotiate a deal with the bear whenever at least one animal unites with the fangtooth. Rule43: The living creature that dances with the pelikan will also swear to the otter, without a doubt. Rule44: If you are positive that one of the animals does not hide her cards from the chihuahua, you can be certain that it will not surrender to the butterfly. Rule45: From observing that an animal takes over the emperor of the bee, one can conclude the following: that animal does not dance with the crab. Rule46: The dove does not hide the cards that she has from the swallow, in the case where the mannikin swears to the dove. Rule1 is preferred over Rule28. Rule10 is preferred over Rule34. Rule19 is preferred over Rule22. Rule27 is preferred over Rule7. Rule32 is preferred over Rule31. Rule4 is preferred over Rule41. Rule42 is preferred over Rule11. Rule45 is preferred over Rule36. Rule9 is preferred over Rule37. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the swallow enjoy the company of the beaver? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:155", "request": "A few players are playing a boardgame. The current state of the game is as follows. The basenji has some arugula. The beaver hates Chris Ronaldo. The beaver is a programmer. The camel hugs the rhino. The duck has 4 friends that are playful and four friends that are not, and struggles to find food. The finch is currently in Brazil. The goat unites with the mermaid. The poodle enjoys the company of the monkey. The stork is currently in Turin. The worm is currently in Kenya. The elk does not bring an oil tank for the akita. And the rules of the game are as follows. Rule1: The wolf does not smile at the mannikin, in the case where the duck reveals a secret to the wolf. Rule2: If at least one animal enjoys the company of the goose, then the dragonfly does not tear down the castle that belongs to the coyote. Rule3: From observing that an animal acquires a photo of the liger, one can conclude the following: that animal does not fall on a square that belongs to the dinosaur. Rule4: If the elk does not bring an oil tank for the akita, then the akita suspects the truthfulness of the seahorse. Rule5: The beaver does not create one castle for the mouse, in the case where the goat manages to persuade the beaver. Rule6: If there is evidence that one animal, no matter which one, enjoys the companionship of the monkey, then the worm builds a power plant close to the green fields of the mule undoubtedly. Rule7: The mule unquestionably tears down the castle of the otter, in the case where the worm builds a power plant close to the green fields of the mule. Rule8: Here is an important piece of information about the duck: if it has access to an abundance of food then it falls on a square of the dinosaur for sure. Rule9: The crab unquestionably pays some $$$ to the llama, in the case where the snake takes over the emperor of the crab. Rule10: The basenji will swim in the pool next to the house of the songbird if it (the basenji) has a leafy green vegetable. Rule11: There exists an animal which swims inside the pool located besides the house of the beetle? Then, the liger definitely does not pay money to the bee. Rule12: From observing that one animal brings an oil tank for the coyote, one can conclude that it also pays some $$$ to the bee, undoubtedly. Rule13: The coyote unquestionably manages to persuade the fish, in the case where the mouse does not smile at the coyote. Rule14: There exists an animal which acquires a photograph of the dolphin? Then the snake definitely shouts at the lizard. Rule15: In order to conclude that the bee will never invest in the company whose owner is the butterfly, two pieces of evidence are required: firstly the walrus does not call the bee and secondly the liger does not pay some $$$ to the bee. Rule16: Regarding the finch, if it is in South America at the moment, then we can conclude that it takes over the emperor of the wolf. Rule17: The stork acquires a photo of the dolphin whenever at least one animal hugs the rhino. Rule18: One of the rules of the game is that if the dove wants to see the basenji, then the basenji will never swim in the pool next to the house of the songbird. Rule19: The goat will not manage to convince the beaver if it (the goat) is less than three and a half years old. Rule20: One of the rules of the game is that if the beaver creates a castle for the mouse, then the mouse will, without hesitation, refuse to help the german shepherd. Rule21: If you are positive that you saw one of the animals reveals a secret to the bison, you can be certain that it will also create one castle for the mouse. Rule22: If the worm has a football that fits in a 44.9 x 49.6 x 43.4 inches box, then the worm does not build a power plant close to the green fields of the mule. Rule23: The living creature that does not reveal something that is supposed to be a secret to the vampire will invest in the company owned by the leopard with no doubts. Rule24: If something borrows a weapon from the frog, then it smiles at the mannikin, too. Rule25: From observing that an animal does not fall on a square of the badger, one can conclude the following: that animal will not enjoy the companionship of the goose. Rule26: If there is evidence that one animal, no matter which one, invests in the company whose owner is the bison, then the bee invests in the company whose owner is the butterfly undoubtedly. Rule27: The living creature that refuses to help the german shepherd will never smile at the coyote. Rule28: If you are positive that you saw one of the animals unites with the mermaid, you can be certain that it will also manage to convince the beaver. Rule29: If at least one animal suspects the truthfulness of the seahorse, then the duck reveals a secret to the wolf. Rule30: If something refuses to help the pelikan, then it does not swim inside the pool located besides the house of the beetle. Rule31: If there is evidence that one animal, no matter which one, acquires a photo of the wolf, then the coyote is not going to refuse to help the pelikan. Rule32: If you are positive that you saw one of the animals shouts at the lizard, you can be certain that it will not reveal something that is supposed to be a secret to the vampire. Rule33: From observing that one animal destroys the wall built by the liger, one can conclude that it also refuses to help the pelikan, undoubtedly. Rule34: If you are positive that you saw one of the animals invests in the company owned by the leopard, you can be certain that it will also take over the emperor of the crab. Rule35: The coyote unquestionably destroys the wall built by the pelikan, in the case where the dragonfly does not tear down the castle of the coyote. Rule36: The wolf unquestionably borrows a weapon from the frog, in the case where the finch takes over the emperor of the wolf. Rule37: The living creature that creates one castle for the peafowl will never destroy the wall built by the pelikan. Rule38: Here is an important piece of information about the duck: if it has fewer than 18 friends then it falls on a square that belongs to the dinosaur for sure. Rule39: If the beaver works in computer science and engineering, then the beaver reveals something that is supposed to be a secret to the bison. Rule40: The worm will not build a power plant near the green fields of the mule if it (the worm) is in Italy at the moment. Rule41: Are you certain that one of the animals manages to convince the fish and also at the same time destroys the wall constructed by the pelikan? Then you can also be certain that the same animal swims in the pool next to the house of the beetle. Rule42: The snake does not invest in the company whose owner is the leopard, in the case where the stork calls the snake. Rule43: The otter unquestionably enjoys the companionship of the goose, in the case where the mule tears down the castle that belongs to the otter. Rule44: There exists an animal which pays money to the llama? Then, the walrus definitely does not call the bee. Rule45: From observing that an animal does not dance with the cougar, one can conclude the following: that animal will not suspect the truthfulness of the seahorse. Rule46: If something does not call the fangtooth, then it does not shout at the lizard. Rule47: If at least one animal smiles at the mannikin, then the coyote destroys the wall constructed by the liger. Rule48: The beaver will reveal a secret to the bison if it (the beaver) is a fan of Chris Ronaldo. Rule49: The coyote does not destroy the wall constructed by the liger, in the case where the dugong takes over the emperor of the coyote. Rule12 is preferred over Rule11. Rule18 is preferred over Rule10. Rule19 is preferred over Rule28. Rule21 is preferred over Rule5. Rule22 is preferred over Rule6. Rule24 is preferred over Rule1. Rule25 is preferred over Rule43. Rule26 is preferred over Rule15. Rule3 is preferred over Rule38. Rule3 is preferred over Rule8. Rule31 is preferred over Rule33. Rule37 is preferred over Rule35. Rule40 is preferred over Rule6. Rule41 is preferred over Rule30. Rule42 is preferred over Rule23. Rule45 is preferred over Rule4. Rule46 is preferred over Rule14. Rule49 is preferred over Rule47. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the bee invest in the company whose owner is the butterfly? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:161", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dugong creates one castle for the coyote, and disarms the dragonfly. The finch has a cappuccino. And the rules of the game are as follows. Rule1: The living creature that acquires a photo of the seal will also reveal something that is supposed to be a secret to the goat, without a doubt. Rule2: For the goat, if you have two pieces of evidence 1) the dugong reveals a secret to the goat and 2) the fish does not suspect the truthfulness of the goat, then you can add that the goat will never refuse to help the beaver to your conclusions. Rule3: The vampire does not create a castle for the goat, in the case where the finch stops the victory of the vampire. Rule4: If something does not stop the victory of the lizard, then it does not unite with the starling. Rule5: If you are positive that you saw one of the animals refuses to help the monkey, you can be certain that it will also invest in the company whose owner is the woodpecker. Rule6: If you see that something creates one castle for the coyote and disarms the dragonfly, what can you certainly conclude? You can conclude that it also acquires a photograph of the seal. Rule7: One of the rules of the game is that if the beaver swims inside the pool located besides the house of the bee, then the bee will, without hesitation, refuse to help the monkey. Rule8: If something does not swear to the lizard, then it creates one castle for the goat. Rule9: The poodle unites with the starling whenever at least one animal invests in the company whose owner is the woodpecker. Rule10: There exists an animal which swears to the dalmatian? Then, the bee definitely does not refuse to help the monkey. Rule11: The living creature that refuses to help the beaver will also enjoy the company of the peafowl, without a doubt. Rule12: If at least one animal enjoys the company of the peafowl, then the beaver swims inside the pool located besides the house of the bee. Rule13: If the finch has something to drink, then the finch stops the victory of the vampire. Rule14: One of the rules of the game is that if the vampire does not create one castle for the goat, then the goat will, without hesitation, refuse to help the beaver. Rule15: There exists an animal which builds a power plant near the green fields of the german shepherd? Then, the bee definitely does not invest in the company owned by the woodpecker. Rule10 is preferred over Rule7. Rule15 is preferred over Rule5. Rule2 is preferred over Rule14. Rule4 is preferred over Rule9. Rule8 is preferred over Rule3. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the poodle unite with the starling? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:162", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant has 66 dollars. The coyote has 53 dollars. The dragonfly manages to convince the llama. The finch has 60 dollars. The fish has 46 dollars. The gadwall has a card that is white in color. The goat wants to see the beetle. The poodle disarms the bulldog. The shark manages to convince the bison. And the rules of the game are as follows. Rule1: The bear captures the king of the crow whenever at least one animal builds a power plant close to the green fields of the lizard. Rule2: If there is evidence that one animal, no matter which one, hides the cards that she has from the cougar, then the chihuahua suspects the truthfulness of the ant undoubtedly. Rule3: If at least one animal suspects the truthfulness of the ant, then the badger swears to the llama. Rule4: This is a basic rule: if the goose captures the king of the german shepherd, then the conclusion that \"the german shepherd will not neglect the bear\" follows immediately and effectively. Rule5: The living creature that does not smile at the leopard will never capture the king (i.e. the most important piece) of the german shepherd. Rule6: The ostrich disarms the zebra whenever at least one animal dances with the dove. Rule7: Regarding the ant, if it has more money than the finch, then we can conclude that it surrenders to the goose. Rule8: From observing that one animal manages to convince the mouse, one can conclude that it also hides her cards from the cougar, undoubtedly. Rule9: If something swears to the llama, then it swims in the pool next to the house of the otter, too. Rule10: Here is an important piece of information about the coyote: if it has more money than the fish then it builds a power plant near the green fields of the lizard for sure. Rule11: If the ant surrenders to the goose, then the goose captures the king (i.e. the most important piece) of the german shepherd. Rule12: The gadwall hides the cards that she has from the fangtooth whenever at least one animal wants to see the beetle. Rule13: The living creature that reveals something that is supposed to be a secret to the liger will never capture the king (i.e. the most important piece) of the crow. Rule14: There exists an animal which manages to persuade the llama? Then, the gadwall definitely does not tear down the castle that belongs to the basenji. Rule15: From observing that one animal acquires a photograph of the frog, one can conclude that it also borrows a weapon from the chinchilla, undoubtedly. Rule16: From observing that one animal captures the king of the crow, one can conclude that it also acquires a photo of the frog, undoubtedly. Rule17: From observing that an animal hides her cards from the fangtooth, one can conclude the following: that animal does not reveal something that is supposed to be a secret to the beaver. Rule18: From observing that an animal swims inside the pool located besides the house of the monkey, one can conclude the following: that animal does not swear to the llama. Rule19: If at least one animal reveals something that is supposed to be a secret to the beaver, then the beetle smiles at the bear. Rule20: For the bear, if you have two pieces of evidence 1) the beetle smiles at the bear and 2) the german shepherd does not neglect the bear, then you can add bear manages to convince the mouse to your conclusions. Rule21: If the ostrich disarms the zebra, then the zebra calls the mermaid. Rule22: From observing that an animal captures the king (i.e. the most important piece) of the duck, one can conclude the following: that animal does not disarm the zebra. Rule23: If the poodle disarms the bulldog, then the bulldog dances with the dove. Rule24: The living creature that does not tear down the castle that belongs to the basenji will reveal something that is supposed to be a secret to the beaver with no doubts. Rule25: Be careful when something refuses to help the mouse and also borrows one of the weapons of the chinchilla because in this case it will surely not hide her cards from the cougar (this may or may not be problematic). Rule13 is preferred over Rule1. Rule18 is preferred over Rule3. Rule22 is preferred over Rule6. Rule24 is preferred over Rule17. Rule25 is preferred over Rule8. Rule5 is preferred over Rule11. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the badger swim in the pool next to the house of the otter? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:165", "request": "A few players are playing a boardgame. The current state of the game is as follows. The badger acquires a photograph of the ostrich. The frog disarms the pelikan. The gadwall reveals a secret to the lizard. The llama negotiates a deal with the walrus. The reindeer falls on a square of the duck. The wolf wants to see the cobra. And the rules of the game are as follows. Rule1: If at least one animal swears to the owl, then the dachshund calls the worm. Rule2: If something falls on a square that belongs to the crab, then it creates a castle for the crow, too. Rule3: For the dachshund, if you have two pieces of evidence 1) the shark stops the victory of the dachshund and 2) the coyote does not dance with the dachshund, then you can add dachshund hugs the butterfly to your conclusions. Rule4: The monkey unquestionably enjoys the companionship of the swan, in the case where the chihuahua does not want to see the monkey. Rule5: If at least one animal acquires a photo of the seal, then the shark stops the victory of the dachshund. Rule6: The coyote does not dance with the dachshund, in the case where the elk takes over the emperor of the coyote. Rule7: If there is evidence that one animal, no matter which one, acquires a photograph of the ostrich, then the dragonfly creates a castle for the camel undoubtedly. Rule8: If at least one animal reveals a secret to the lizard, then the snake does not build a power plant close to the green fields of the beetle. Rule9: If at least one animal tears down the castle that belongs to the camel, then the leopard acquires a photograph of the seal. Rule10: One of the rules of the game is that if the peafowl pays money to the german shepherd, then the german shepherd will, without hesitation, tear down the castle of the camel. Rule11: There exists an animal which stops the victory of the owl? Then, the pigeon definitely does not bring an oil tank for the mannikin. Rule12: If the mouse enjoys the companionship of the pigeon, then the pigeon brings an oil tank for the mannikin. Rule13: If you are positive that you saw one of the animals unites with the stork, you can be certain that it will also stop the victory of the owl. Rule14: There exists an animal which hides her cards from the otter? Then, the dachshund definitely does not hug the butterfly. Rule15: If something hugs the fangtooth, then it does not build a power plant near the green fields of the woodpecker. Rule16: If there is evidence that one animal, no matter which one, hides her cards from the swallow, then the akita trades one of its pieces with the mouse undoubtedly. Rule17: If something disarms the pelikan, then it stops the victory of the peafowl, too. Rule18: The duck unquestionably falls on a square of the crab, in the case where the reindeer falls on a square that belongs to the duck. Rule19: If you see that something hugs the butterfly and calls the worm, what can you certainly conclude? You can conclude that it also wants to see the goat. Rule20: The walrus unquestionably hides her cards from the swallow, in the case where the llama negotiates a deal with the walrus. Rule21: From observing that an animal does not build a power plant close to the green fields of the beetle, one can conclude that it hugs the goose. Rule22: This is a basic rule: if the dinosaur captures the king of the snake, then the conclusion that \"the snake will not stop the victory of the owl\" follows immediately and effectively. Rule23: There exists an animal which reveals something that is supposed to be a secret to the starling? Then the duck definitely captures the king of the reindeer. Rule24: The living creature that hugs the goose will also unite with the stork, without a doubt. Rule25: If there is evidence that one animal, no matter which one, wants to see the cobra, then the chihuahua hugs the fangtooth undoubtedly. Rule26: From observing that one animal swims inside the pool located besides the house of the songbird, one can conclude that it also pays some $$$ to the german shepherd, undoubtedly. Rule27: The living creature that trades one of the pieces in its possession with the coyote will never acquire a photo of the seal. Rule28: This is a basic rule: if the lizard surrenders to the snake, then the conclusion that \"the snake will not unite with the stork\" follows immediately and effectively. Rule29: Here is an important piece of information about the dragonfly: if it is watching a movie that was released after the Berlin wall fell then it does not create one castle for the camel for sure. Rule30: This is a basic rule: if the akita trades one of the pieces in its possession with the mouse, then the conclusion that \"the mouse stops the victory of the vampire\" follows immediately and effectively. Rule31: From observing that an animal does not bring an oil tank for the mannikin, one can conclude that it swears to the owl. Rule32: The elk takes over the emperor of the coyote whenever at least one animal enjoys the companionship of the swan. Rule33: If the frog stops the victory of the peafowl, then the peafowl swims inside the pool located besides the house of the songbird. Rule34: If you are positive that one of the animals does not build a power plant near the green fields of the woodpecker, you can be certain that it will not want to see the monkey. Rule35: The living creature that stops the victory of the vampire will also enjoy the company of the pigeon, without a doubt. Rule36: If you are positive that you saw one of the animals creates one castle for the camel, you can be certain that it will also reveal something that is supposed to be a secret to the starling. Rule37: The living creature that hides her cards from the rhino will never stop the victory of the peafowl. Rule11 is preferred over Rule12. Rule14 is preferred over Rule3. Rule22 is preferred over Rule13. Rule27 is preferred over Rule9. Rule28 is preferred over Rule24. Rule29 is preferred over Rule7. Rule37 is preferred over Rule17. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the dachshund want to see the goat? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:167", "request": "A few players are playing a boardgame. The current state of the game is as follows. The ant has 83 dollars. The ant has four friends that are kind and two friends that are not. The fangtooth has a guitar, and is watching a movie from 2003. The flamingo calls the wolf, and has 14 friends. The gadwall dances with the dragon. The llama has 55 dollars. The seahorse disarms the pelikan, and is a nurse. The seahorse was born nine and a half weeks ago. The fangtooth does not refuse to help the stork. The goose does not take over the emperor of the owl. The mule does not bring an oil tank for the coyote. And the rules of the game are as follows. Rule1: This is a basic rule: if the seahorse does not create a castle for the coyote, then the conclusion that the coyote smiles at the peafowl follows immediately and effectively. Rule2: If you are positive that one of the animals does not unite with the mouse, you can be certain that it will stop the victory of the liger without a doubt. Rule3: If you are positive that you saw one of the animals creates one castle for the gadwall, you can be certain that it will also swim in the pool next to the house of the mermaid. Rule4: From observing that an animal swims inside the pool located besides the house of the crab, one can conclude the following: that animal does not take over the emperor of the owl. Rule5: From observing that an animal does not destroy the wall constructed by the songbird, one can conclude that it takes over the emperor of the owl. Rule6: One of the rules of the game is that if the dragon swims inside the pool located besides the house of the mermaid, then the mermaid will never create a castle for the camel. Rule7: If at least one animal swears to the butterfly, then the coyote falls on a square of the german shepherd. Rule8: This is a basic rule: if the snake reveals a secret to the fish, then the conclusion that \"the fish will not swear to the vampire\" follows immediately and effectively. Rule9: One of the rules of the game is that if the goose does not take over the emperor of the owl, then the owl will, without hesitation, leave the houses occupied by the cougar. Rule10: The living creature that leaves the houses that are occupied by the cougar will never want to see the beaver. Rule11: If the finch swims in the pool next to the house of the mermaid, then the mermaid creates a castle for the camel. Rule12: The coyote will not smile at the peafowl, in the case where the pelikan does not capture the king of the coyote. Rule13: This is a basic rule: if the mule does not bring an oil tank for the coyote, then the conclusion that the coyote unites with the leopard follows immediately and effectively. Rule14: The living creature that does not swear to the seal will acquire a photo of the dachshund with no doubts. Rule15: The living creature that destroys the wall constructed by the dove will never stop the victory of the chinchilla. Rule16: Here is an important piece of information about the fangtooth: if it has something to drink then it does not swear to the seal for sure. Rule17: If the ant has more than ten friends, then the ant refuses to help the llama. Rule18: If there is evidence that one animal, no matter which one, stops the victory of the bulldog, then the coyote is not going to unite with the leopard. Rule19: If the seahorse is less than 6 months old, then the seahorse creates one castle for the coyote. Rule20: The dragon unquestionably creates a castle for the gadwall, in the case where the gadwall dances with the dragon. Rule21: The flamingo does not swim inside the pool located besides the house of the crab whenever at least one animal stops the victory of the worm. Rule22: Regarding the fangtooth, if it is watching a movie that was released before Maradona died, then we can conclude that it does not swear to the seal. Rule23: If you are positive that you saw one of the animals creates one castle for the camel, you can be certain that it will also refuse to help the coyote. Rule24: From observing that an animal creates one castle for the reindeer, one can conclude the following: that animal does not borrow a weapon from the chihuahua. Rule25: If you are positive that one of the animals does not tear down the castle that belongs to the german shepherd, you can be certain that it will not swim inside the pool located besides the house of the mermaid. Rule26: If you are positive that you saw one of the animals stops the victory of the chinchilla, you can be certain that it will also fall on a square that belongs to the duck. Rule27: If you are positive that you saw one of the animals disarms the pelikan, you can be certain that it will not create a castle for the coyote. Rule28: If you are positive that you saw one of the animals smiles at the peafowl, you can be certain that it will also stop the victory of the chinchilla. Rule29: If you see that something stops the victory of the liger and falls on a square of the german shepherd, what can you certainly conclude? You can conclude that it also tears down the castle that belongs to the songbird. Rule30: The owl does not create one castle for the otter, in the case where the flamingo takes over the emperor of the owl. Rule31: The living creature that calls the wolf will also swim inside the pool located besides the house of the crab, without a doubt. Rule32: The living creature that creates a castle for the dachshund will also manage to convince the coyote, without a doubt. Rule33: If the ant has more money than the llama, then the ant refuses to help the llama. Rule34: The flamingo will not destroy the wall built by the songbird if it (the flamingo) has more than nine friends. Rule35: In order to conclude that the coyote does not unite with the mouse, two pieces of evidence are required: firstly that the monkey will not manage to convince the coyote and secondly the mermaid refuses to help the coyote. Rule36: There exists an animal which refuses to help the llama? Then the finch definitely swims in the pool next to the house of the mermaid. Rule37: If there is evidence that one animal, no matter which one, borrows a weapon from the chihuahua, then the cougar swears to the butterfly undoubtedly. Rule38: One of the rules of the game is that if the poodle takes over the emperor of the coyote, then the coyote will never tear down the castle that belongs to the songbird. Rule39: The living creature that does not want to see the beaver will create a castle for the otter with no doubts. Rule40: This is a basic rule: if the bulldog swims in the pool next to the house of the monkey, then the conclusion that \"the monkey will not manage to persuade the coyote\" follows immediately and effectively. Rule41: There exists an animal which creates a castle for the otter? Then the pigeon definitely borrows one of the weapons of the chihuahua. Rule42: The bulldog swims inside the pool located besides the house of the monkey whenever at least one animal acquires a photograph of the dachshund. Rule43: There exists an animal which tears down the castle that belongs to the songbird? Then the fish definitely swears to the vampire. Rule44: This is a basic rule: if the swan falls on a square that belongs to the dragon, then the conclusion that \"the dragon will not create a castle for the gadwall\" follows immediately and effectively. Rule11 is preferred over Rule6. Rule12 is preferred over Rule1. Rule15 is preferred over Rule28. Rule18 is preferred over Rule13. Rule21 is preferred over Rule31. Rule24 is preferred over Rule41. Rule25 is preferred over Rule36. Rule27 is preferred over Rule19. Rule32 is preferred over Rule40. Rule38 is preferred over Rule29. Rule39 is preferred over Rule30. Rule44 is preferred over Rule20. Rule5 is preferred over Rule4. Rule8 is preferred over Rule43. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the fish swear to the vampire? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:172", "request": "A few players are playing a boardgame. The current state of the game is as follows. The crow has 11 friends. The dinosaur has 14 friends, has a cell phone, is watching a movie from 2012, and swears to the worm. The dinosaur supports Chris Ronaldo. The dolphin builds a power plant near the green fields of the ant. The fish borrows one of the weapons of the starling. The flamingo calls the swan. The german shepherd has a football with a radius of 16 inches. The german shepherd is watching a movie from 1999. The mouse smiles at the rhino. The starling swears to the butterfly. The stork has a card that is yellow in color. The stork is 20 months old. The ostrich does not build a power plant near the green fields of the beaver. The zebra does not borrow one of the weapons of the pigeon. And the rules of the game are as follows. Rule1: This is a basic rule: if the fangtooth hugs the butterfly, then the conclusion that \"the butterfly captures the king of the peafowl\" follows immediately and effectively. Rule2: If the llama acquires a photo of the cougar, then the cougar stops the victory of the beetle. Rule3: If the mouse smiles at the rhino, then the rhino trades one of its pieces with the coyote. Rule4: The elk does not stop the victory of the cougar whenever at least one animal stops the victory of the beetle. Rule5: From observing that an animal falls on a square that belongs to the fangtooth, one can conclude the following: that animal does not reveal a secret to the mannikin. Rule6: The rhino does not trade one of the pieces in its possession with the coyote whenever at least one animal hides her cards from the mule. Rule7: Regarding the stork, if it is less than 22 months old, then we can conclude that it falls on a square that belongs to the chihuahua. Rule8: From observing that an animal does not unite with the badger, one can conclude that it reveals a secret to the mannikin. Rule9: Are you certain that one of the animals hides her cards from the flamingo and also at the same time creates one castle for the dalmatian? Then you can also be certain that the same animal does not leave the houses that are occupied by the basenji. Rule10: If something trades one of the pieces in its possession with the coyote, then it enjoys the company of the frog, too. Rule11: From observing that one animal swears to the butterfly, one can conclude that it also dances with the otter, undoubtedly. Rule12: Regarding the german shepherd, if it is watching a movie that was released before covid started, then we can conclude that it brings an oil tank for the dachshund. Rule13: The living creature that unites with the dragonfly will never swear to the zebra. Rule14: One of the rules of the game is that if the flamingo calls the swan, then the swan will, without hesitation, unite with the mermaid. Rule15: The shark does not call the vampire whenever at least one animal wants to see the goose. Rule16: The rhino will not enjoy the company of the frog, in the case where the frog does not negotiate a deal with the rhino. Rule17: If something swims inside the pool located besides the house of the poodle, then it stops the victory of the butterfly, too. Rule18: If something acquires a photograph of the bison, then it swears to the zebra, too. Rule19: If the dachshund disarms the seahorse, then the seahorse is not going to neglect the cobra. Rule20: The living creature that manages to persuade the bulldog will never stop the victory of the butterfly. Rule21: This is a basic rule: if the ostrich creates a castle for the cougar, then the conclusion that \"the cougar will not stop the victory of the beetle\" follows immediately and effectively. Rule22: One of the rules of the game is that if the cobra creates one castle for the vampire, then the vampire will, without hesitation, bring an oil tank for the crab. Rule23: In order to conclude that the starling refuses to help the gorilla, two pieces of evidence are required: firstly the gorilla should trade one of the pieces in its possession with the starling and secondly the dugong should capture the king (i.e. the most important piece) of the starling. Rule24: If the swan enjoys the company of the gorilla, then the gorilla trades one of the pieces in its possession with the starling. Rule25: If something takes over the emperor of the songbird, then it does not acquire a photo of the cougar. Rule26: This is a basic rule: if the zebra does not hide the cards that she has from the starling, then the conclusion that the starling will not refuse to help the gorilla follows immediately and effectively. Rule27: The dinosaur will acquire a photograph of the bison if it (the dinosaur) is watching a movie that was released after Facebook was founded. Rule28: If at least one animal leaves the houses occupied by the husky, then the dachshund does not refuse to help the bear. Rule29: From observing that an animal does not leave the houses occupied by the basenji, one can conclude that it tears down the castle that belongs to the wolf. Rule30: If you are positive that one of the animals does not reveal a secret to the duck, you can be certain that it will not suspect the truthfulness of the reindeer. Rule31: The german shepherd will not bring an oil tank for the dachshund if it (the german shepherd) works in agriculture. Rule32: From observing that an animal does not borrow a weapon from the pigeon, one can conclude the following: that animal will not reveal something that is supposed to be a secret to the duck. Rule33: The living creature that does not swim in the pool next to the house of the camel will swim in the pool next to the house of the poodle with no doubts. Rule34: If there is evidence that one animal, no matter which one, suspects the truthfulness of the goat, then the llama acquires a photo of the cougar undoubtedly. Rule35: Regarding the dinosaur, if it has something to drink, then we can conclude that it unites with the dragonfly. Rule36: The ostrich does not suspect the truthfulness of the goat whenever at least one animal stops the victory of the gadwall. Rule37: If there is evidence that one animal, no matter which one, falls on a square of the chihuahua, then the dragon shouts at the stork undoubtedly. Rule38: If the german shepherd has a football that fits in a 28.4 x 39.7 x 26.6 inches box, then the german shepherd does not bring an oil tank for the dachshund. Rule39: From observing that one animal stops the victory of the butterfly, one can conclude that it also hides her cards from the flamingo, undoubtedly. Rule40: Regarding the dinosaur, if it is a fan of Chris Ronaldo, then we can conclude that it unites with the dragonfly. Rule41: If you are positive that you saw one of the animals negotiates a deal with the lizard, you can be certain that it will not trade one of the pieces in its possession with the starling. Rule42: The mannikin unquestionably wants to see the goose, in the case where the crow reveals something that is supposed to be a secret to the mannikin. Rule43: There exists an animal which refuses to help the bear? Then the seahorse definitely neglects the cobra. Rule44: Here is an important piece of information about the stork: if it has a card with a primary color then it falls on a square of the chihuahua for sure. Rule45: If at least one animal shouts at the stork, then the elk does not bring an oil tank for the bee. Rule46: If you are positive that you saw one of the animals unites with the mermaid, you can be certain that it will also enjoy the companionship of the gorilla. Rule47: If you are positive that you saw one of the animals dances with the otter, you can be certain that it will not swim in the pool next to the house of the camel. Rule48: The fangtooth hugs the butterfly whenever at least one animal brings an oil tank for the crab. Rule49: One of the rules of the game is that if the seahorse neglects the cobra, then the cobra will, without hesitation, create one castle for the vampire. Rule50: If something does not stop the victory of the cougar, then it invests in the company whose owner is the fangtooth. Rule51: If the fish borrows a weapon from the starling, then the starling is not going to dance with the otter. Rule52: This is a basic rule: if the dolphin builds a power plant near the green fields of the ant, then the conclusion that \"the ant will not create a castle for the starling\" follows immediately and effectively. Rule53: Regarding the crow, if it has more than 7 friends, then we can conclude that it does not unite with the badger. Rule54: If you are positive that you saw one of the animals swears to the worm, you can be certain that it will not acquire a photograph of the bison. Rule55: From observing that an animal does not refuse to help the gorilla, one can conclude that it creates a castle for the dalmatian. Rule56: If something does not build a power plant close to the green fields of the beaver, then it suspects the truthfulness of the goat. Rule57: This is a basic rule: if the starling tears down the castle that belongs to the wolf, then the conclusion that \"the wolf pays some $$$ to the snake\" follows immediately and effectively. Rule58: The living creature that does not suspect the truthfulness of the reindeer will never hide the cards that she has from the starling. Rule59: One of the rules of the game is that if the german shepherd brings an oil tank for the dachshund, then the dachshund will, without hesitation, refuse to help the bear. Rule60: If the swallow pays some $$$ to the dragon, then the dragon is not going to shout at the stork. Rule11 is preferred over Rule51. Rule16 is preferred over Rule10. Rule18 is preferred over Rule13. Rule19 is preferred over Rule43. Rule20 is preferred over Rule17. Rule21 is preferred over Rule2. Rule23 is preferred over Rule26. Rule25 is preferred over Rule34. Rule27 is preferred over Rule54. Rule28 is preferred over Rule59. Rule31 is preferred over Rule12. Rule36 is preferred over Rule56. Rule38 is preferred over Rule12. Rule41 is preferred over Rule24. Rule5 is preferred over Rule8. Rule6 is preferred over Rule3. Rule60 is preferred over Rule37. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the wolf pay money to the snake? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:173", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dachshund has 5 dollars. The dalmatian is named Luna. The dolphin falls on a square of the dugong. The dragon unites with the dragonfly. The duck calls the wolf. The elk suspects the truthfulness of the butterfly. The german shepherd pays money to the bear. The monkey disarms the chinchilla. The mouse shouts at the ostrich. The seal has 100 dollars, is named Tarzan, and struggles to find food. The swallow has 87 dollars. The swan has a knife. The swan is 12 months old. The dove does not neglect the dinosaur. The flamingo does not tear down the castle that belongs to the lizard. And the rules of the game are as follows. Rule1: Regarding the swan, if it has a sharp object, then we can conclude that it hugs the fish. Rule2: The living creature that suspects the truthfulness of the butterfly will also smile at the akita, without a doubt. Rule3: If the mouse does not refuse to help the lizard, then the lizard captures the king (i.e. the most important piece) of the beaver. Rule4: The living creature that does not tear down the castle that belongs to the llama will manage to convince the cobra with no doubts. Rule5: If something falls on a square that belongs to the dugong, then it falls on a square of the otter, too. Rule6: If there is evidence that one animal, no matter which one, refuses to help the gadwall, then the beaver is not going to swear to the gorilla. Rule7: There exists an animal which captures the king (i.e. the most important piece) of the starling? Then, the poodle definitely does not disarm the ostrich. Rule8: This is a basic rule: if the dove does not neglect the dinosaur, then the conclusion that the dinosaur brings an oil tank for the zebra follows immediately and effectively. Rule9: One of the rules of the game is that if the german shepherd pays money to the bear, then the bear will, without hesitation, pay money to the fangtooth. Rule10: The camel surrenders to the bison whenever at least one animal brings an oil tank for the zebra. Rule11: If there is evidence that one animal, no matter which one, disarms the ostrich, then the mouse negotiates a deal with the german shepherd undoubtedly. Rule12: This is a basic rule: if the lizard captures the king of the beaver, then the conclusion that \"the beaver disarms the chihuahua\" follows immediately and effectively. Rule13: If something does not tear down the castle that belongs to the lizard, then it does not want to see the frog. Rule14: This is a basic rule: if the songbird leaves the houses that are occupied by the camel, then the conclusion that \"the camel will not surrender to the bison\" follows immediately and effectively. Rule15: The frog pays money to the mouse whenever at least one animal smiles at the goat. Rule16: From observing that an animal creates one castle for the wolf, one can conclude the following: that animal does not pay some $$$ to the mouse. Rule17: This is a basic rule: if the flamingo does not want to see the frog, then the conclusion that the frog creates one castle for the wolf follows immediately and effectively. Rule18: The seal will not disarm the bee if it (the seal) has difficulty to find food. Rule19: If at least one animal disarms the chinchilla, then the seal does not tear down the castle of the llama. Rule20: For the poodle, if you have two pieces of evidence 1) the akita falls on a square that belongs to the poodle and 2) the bear hides the cards that she has from the poodle, then you can add \"poodle disarms the ostrich\" to your conclusions. Rule21: One of the rules of the game is that if the shark creates one castle for the coyote, then the coyote will, without hesitation, swear to the mouse. Rule22: If something calls the wolf, then it brings an oil tank for the frog, too. Rule23: If the cougar builds a power plant near the green fields of the mouse, then the mouse is not going to negotiate a deal with the german shepherd. Rule24: This is a basic rule: if the crab reveals a secret to the dinosaur, then the conclusion that \"the dinosaur will not bring an oil tank for the zebra\" follows immediately and effectively. Rule25: If there is evidence that one animal, no matter which one, surrenders to the bison, then the shark creates one castle for the coyote undoubtedly. Rule26: Be careful when something negotiates a deal with the german shepherd and also falls on a square that belongs to the mule because in this case it will surely not refuse to help the lizard (this may or may not be problematic). Rule27: The vampire unquestionably tears down the castle of the mouse, in the case where the mule does not tear down the castle of the vampire. Rule28: If the frog pays money to the mouse, then the mouse falls on a square of the mule. Rule29: There exists an animal which hugs the fish? Then, the mule definitely does not tear down the castle that belongs to the vampire. Rule30: If there is evidence that one animal, no matter which one, falls on a square that belongs to the otter, then the reindeer smiles at the goat undoubtedly. Rule31: If you are positive that you saw one of the animals pays some $$$ to the fangtooth, you can be certain that it will also hide her cards from the poodle. Rule32: If the swan is more than 3 years old, then the swan hugs the fish. Rule33: One of the rules of the game is that if the elk smiles at the akita, then the akita will, without hesitation, fall on a square of the poodle. Rule34: There exists an animal which shouts at the ostrich? Then, the elk definitely does not smile at the akita. Rule35: The mule unquestionably tears down the castle that belongs to the vampire, in the case where the pigeon hugs the mule. Rule36: If the seal has a name whose first letter is the same as the first letter of the dalmatian's name, then the seal does not disarm the bee. Rule37: If something does not negotiate a deal with the dove, then it does not create one castle for the coyote. Rule38: The worm calls the peafowl whenever at least one animal manages to convince the cobra. Rule39: The living creature that disarms the chihuahua will also swear to the gorilla, without a doubt. Rule14 is preferred over Rule10. Rule15 is preferred over Rule16. Rule2 is preferred over Rule34. Rule23 is preferred over Rule11. Rule24 is preferred over Rule8. Rule35 is preferred over Rule29. Rule37 is preferred over Rule25. Rule6 is preferred over Rule39. Rule7 is preferred over Rule20. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the beaver swear to the gorilla? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:177", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita unites with the seahorse. The bear builds a power plant near the green fields of the husky. The dachshund has a card that is white in color, and is watching a movie from 1796. The pelikan assassinated the mayor. The shark captures the king of the bulldog, and has fourteen friends. The wolf is watching a movie from 2001. The worm swims in the pool next to the house of the butterfly. The bison does not swim in the pool next to the house of the wolf. The woodpecker does not unite with the cobra. The worm does not borrow one of the weapons of the dolphin. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the monkey hugs the pigeon, then the pigeon will, without hesitation, swim inside the pool located besides the house of the fish. Rule2: If you are positive that you saw one of the animals neglects the frog, you can be certain that it will not create one castle for the mermaid. Rule3: If the dragonfly does not take over the emperor of the worm, then the worm leaves the houses that are occupied by the gadwall. Rule4: From observing that one animal swims in the pool next to the house of the mule, one can conclude that it also trades one of its pieces with the duck, undoubtedly. Rule5: This is a basic rule: if the reindeer suspects the truthfulness of the elk, then the conclusion that \"the elk will not refuse to help the goose\" follows immediately and effectively. Rule6: From observing that an animal dances with the seal, one can conclude the following: that animal does not hug the pigeon. Rule7: Here is an important piece of information about the dachshund: if it is watching a movie that was released after the French revolution began then it smiles at the basenji for sure. Rule8: The bulldog swims inside the pool located besides the house of the llama whenever at least one animal dances with the swallow. Rule9: If you are positive that one of the animals does not borrow one of the weapons of the dolphin, you can be certain that it will destroy the wall built by the liger without a doubt. Rule10: If the pelikan killed the mayor, then the pelikan wants to see the snake. Rule11: The living creature that swears to the german shepherd will never shout at the chihuahua. Rule12: If something does not dance with the beetle, then it suspects the truthfulness of the elk. Rule13: If there is evidence that one animal, no matter which one, smiles at the poodle, then the fish is not going to trade one of its pieces with the dolphin. Rule14: If there is evidence that one animal, no matter which one, neglects the goat, then the vampire smiles at the poodle undoubtedly. Rule15: From observing that one animal swims inside the pool located besides the house of the butterfly, one can conclude that it also neglects the frog, undoubtedly. Rule16: If you see that something does not trade one of its pieces with the dolphin but it stops the victory of the worm, what can you certainly conclude? You can conclude that it is not going to negotiate a deal with the poodle. Rule17: If there is evidence that one animal, no matter which one, swims inside the pool located besides the house of the llama, then the fangtooth dances with the fish undoubtedly. Rule18: The monkey hugs the pigeon whenever at least one animal unites with the swan. Rule19: If there is evidence that one animal, no matter which one, builds a power plant close to the green fields of the husky, then the reindeer is not going to dance with the beetle. Rule20: There exists an animal which destroys the wall built by the songbird? Then the goose definitely swears to the bulldog. Rule21: If something does not build a power plant close to the green fields of the finch, then it suspects the truthfulness of the coyote. Rule22: If the woodpecker does not unite with the cobra, then the cobra smiles at the akita. Rule23: This is a basic rule: if the akita does not suspect the truthfulness of the coyote, then the conclusion that the coyote destroys the wall built by the songbird follows immediately and effectively. Rule24: If something does not suspect the truthfulness of the flamingo, then it swims in the pool next to the house of the mule. Rule25: The worm does not dance with the swallow whenever at least one animal manages to persuade the fangtooth. Rule26: The shark will create one castle for the dragonfly if it (the shark) has more than nine friends. Rule27: If something captures the king of the bulldog, then it does not create a castle for the dragonfly. Rule28: From observing that an animal does not want to see the german shepherd, one can conclude the following: that animal will not hide her cards from the rhino. Rule29: Here is an important piece of information about the dachshund: if it has a card whose color is one of the rainbow colors then it smiles at the basenji for sure. Rule30: For the fish, if the belief is that the pigeon swims inside the pool located besides the house of the fish and the fangtooth dances with the fish, then you can add \"the fish negotiates a deal with the poodle\" to your conclusions. Rule31: From observing that an animal leaves the houses that are occupied by the basenji, one can conclude the following: that animal does not smile at the basenji. Rule32: One of the rules of the game is that if the shark does not create a castle for the dragonfly, then the dragonfly will never take over the emperor of the worm. Rule33: If something destroys the wall constructed by the liger, then it creates one castle for the mermaid, too. Rule34: One of the rules of the game is that if the badger tears down the castle that belongs to the wolf, then the wolf will never swim inside the pool located besides the house of the mule. Rule35: The living creature that hides her cards from the rhino will also unite with the swan, without a doubt. Rule36: The living creature that unites with the seahorse will never build a power plant close to the green fields of the finch. Rule37: If there is evidence that one animal, no matter which one, brings an oil tank for the cougar, then the dugong hides the cards that she has from the rhino undoubtedly. Rule38: The living creature that leaves the houses occupied by the gadwall will also dance with the swallow, without a doubt. Rule39: One of the rules of the game is that if the cobra smiles at the akita, then the akita will never suspect the truthfulness of the coyote. Rule40: From observing that one animal negotiates a deal with the poodle, one can conclude that it also shouts at the chihuahua, undoubtedly. Rule41: The living creature that wants to see the snake will also bring an oil tank for the cougar, without a doubt. Rule42: The living creature that trades one of the pieces in its possession with the duck will also neglect the goat, without a doubt. Rule43: This is a basic rule: if the bison does not swim in the pool next to the house of the wolf, then the conclusion that the wolf will not suspect the truthfulness of the flamingo follows immediately and effectively. Rule11 is preferred over Rule40. Rule16 is preferred over Rule30. Rule25 is preferred over Rule38. Rule27 is preferred over Rule26. Rule28 is preferred over Rule37. Rule31 is preferred over Rule29. Rule31 is preferred over Rule7. Rule33 is preferred over Rule2. Rule34 is preferred over Rule24. Rule39 is preferred over Rule21. Rule6 is preferred over Rule18. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the fish shout at the chihuahua? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:178", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita has 85 dollars, hugs the gorilla, and does not stop the victory of the fish. The akita has ten friends. The akita is a grain elevator operator. The chihuahua shouts at the cobra. The cougar falls on a square of the ostrich. The dragon reveals a secret to the walrus. The frog has a 15 x 13 inches notebook. The mannikin has 11 dollars. The owl has 61 dollars. The pelikan is named Paco. The rhino has a card that is violet in color, and is five and a half months old. The songbird is named Pashmak. The stork has a trumpet. The akita does not suspect the truthfulness of the swan. The german shepherd does not destroy the wall constructed by the crow. The swallow does not neglect the stork. And the rules of the game are as follows. Rule1: One of the rules of the game is that if the pigeon acquires a photograph of the songbird, then the songbird will, without hesitation, tear down the castle of the gadwall. Rule2: There exists an animal which suspects the truthfulness of the camel? Then, the dragonfly definitely does not shout at the gadwall. Rule3: If the rhino is less than 14 months old, then the rhino unites with the zebra. Rule4: The gadwall falls on a square that belongs to the peafowl whenever at least one animal disarms the dalmatian. Rule5: If something hugs the gorilla and does not stop the victory of the fish, then it invests in the company owned by the mule. Rule6: The chinchilla unquestionably enjoys the companionship of the flamingo, in the case where the zebra smiles at the chinchilla. Rule7: One of the rules of the game is that if the poodle hugs the mouse, then the mouse will never tear down the castle that belongs to the zebra. Rule8: For the gadwall, if the belief is that the dragonfly does not shout at the gadwall and the akita does not tear down the castle of the gadwall, then you can add \"the gadwall pays money to the fangtooth\" to your conclusions. Rule9: This is a basic rule: if the german shepherd does not destroy the wall built by the crow, then the conclusion that the crow takes over the emperor of the duck follows immediately and effectively. Rule10: If the swallow does not neglect the stork, then the stork does not call the goat. Rule11: If there is evidence that one animal, no matter which one, enjoys the companionship of the flamingo, then the zebra neglects the ant undoubtedly. Rule12: The pigeon acquires a photo of the songbird whenever at least one animal pays some $$$ to the worm. Rule13: The mermaid unquestionably builds a power plant close to the green fields of the badger, in the case where the starling does not stop the victory of the mermaid. Rule14: The stork will call the goat if it (the stork) has a musical instrument. Rule15: One of the rules of the game is that if the goat swears to the bison, then the bison will, without hesitation, smile at the starling. Rule16: If you are positive that one of the animals does not invest in the company owned by the mule, you can be certain that it will surrender to the vampire without a doubt. Rule17: Regarding the akita, if it works in education, then we can conclude that it hides the cards that she has from the dugong. Rule18: If you are positive that one of the animals does not tear down the castle that belongs to the bee, you can be certain that it will surrender to the beetle without a doubt. Rule19: If at least one animal neglects the ant, then the butterfly calls the zebra. Rule20: There exists an animal which shouts at the cobra? Then the bear definitely reveals a secret to the llama. Rule21: The chihuahua pays some $$$ to the worm whenever at least one animal takes over the emperor of the seal. Rule22: If the frog has a notebook that fits in a 18.8 x 17.1 inches box, then the frog captures the king (i.e. the most important piece) of the shark. Rule23: There exists an animal which manages to convince the camel? Then, the vampire definitely does not tear down the castle that belongs to the bee. Rule24: If at least one animal dances with the coyote, then the zebra stops the victory of the woodpecker. Rule25: This is a basic rule: if the stork does not call the goat, then the conclusion that the goat swears to the bison follows immediately and effectively. Rule26: From observing that an animal does not suspect the truthfulness of the bear, one can conclude the following: that animal will not fall on a square that belongs to the peafowl. Rule27: There exists an animal which reveals something that is supposed to be a secret to the llama? Then the bulldog definitely takes over the emperor of the seal. Rule28: If the rhino has a card whose color is one of the rainbow colors, then the rhino does not unite with the zebra. Rule29: If at least one animal falls on a square of the ostrich, then the mouse tears down the castle of the zebra. Rule30: From observing that an animal disarms the seahorse, one can conclude the following: that animal does not call the zebra. Rule31: This is a basic rule: if the songbird tears down the castle that belongs to the gadwall, then the conclusion that \"the gadwall will not suspect the truthfulness of the bear\" follows immediately and effectively. Rule32: The beetle does not reveal something that is supposed to be a secret to the wolf, in the case where the vampire surrenders to the beetle. Rule33: If there is evidence that one animal, no matter which one, captures the king (i.e. the most important piece) of the shark, then the goose manages to persuade the camel undoubtedly. Rule34: One of the rules of the game is that if the bison smiles at the starling, then the starling will never stop the victory of the mermaid. Rule35: From observing that one animal builds a power plant close to the green fields of the badger, one can conclude that it also shouts at the beaver, undoubtedly. Rule36: Here is an important piece of information about the akita: if it has more money than the mannikin and the owl combined then it hides the cards that she has from the dugong for sure. Rule37: One of the rules of the game is that if the snake does not manage to persuade the akita, then the akita will, without hesitation, tear down the castle that belongs to the gadwall. Rule38: If you are positive that one of the animals does not reveal something that is supposed to be a secret to the wolf, you can be certain that it will suspect the truthfulness of the camel without a doubt. Rule39: The songbird will not acquire a photograph of the bulldog if it (the songbird) has a card whose color appears in the flag of Japan. Rule40: If something stops the victory of the woodpecker, then it swears to the liger, too. Rule41: If the songbird has a name whose first letter is the same as the first letter of the pelikan's name, then the songbird acquires a photograph of the bulldog. Rule42: If the dragon reveals something that is supposed to be a secret to the walrus, then the walrus dances with the coyote. Rule43: The akita does not tear down the castle that belongs to the gadwall whenever at least one animal shouts at the beaver. Rule44: This is a basic rule: if the butterfly calls the zebra, then the conclusion that \"the zebra disarms the dalmatian\" follows immediately and effectively. Rule45: There exists an animal which takes over the emperor of the duck? Then the zebra definitely smiles at the chinchilla. Rule46: If the akita has fewer than 12 friends, then the akita does not invest in the company whose owner is the mule. Rule47: The living creature that falls on a square that belongs to the peafowl will never pay money to the fangtooth. Rule10 is preferred over Rule14. Rule3 is preferred over Rule28. Rule30 is preferred over Rule19. Rule37 is preferred over Rule43. Rule39 is preferred over Rule41. Rule4 is preferred over Rule26. Rule46 is preferred over Rule5. Rule7 is preferred over Rule29. Rule8 is preferred over Rule47. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the gadwall pay money to the fangtooth? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:182", "request": "A few players are playing a boardgame. The current state of the game is as follows. The basenji has a hot chocolate. The bulldog invests in the company whose owner is the vampire. The cougar is currently in Ankara, and is eighteen months old. The coyote shouts at the leopard. The crab refuses to help the snake. The crow has a violin, and is holding her keys. The duck builds a power plant near the green fields of the shark, and suspects the truthfulness of the walrus. The liger has a couch. The swan is a nurse. The worm has a 18 x 16 inches notebook, and has a card that is green in color. The worm is a programmer. The zebra negotiates a deal with the swan. The swallow does not swear to the dove. And the rules of the game are as follows. Rule1: If something trades one of the pieces in its possession with the akita, then it does not destroy the wall constructed by the frog. Rule2: If the swallow does not swear to the dove, then the dove smiles at the butterfly. Rule3: If at least one animal brings an oil tank for the otter, then the vampire suspects the truthfulness of the frog. Rule4: If something refuses to help the snake, then it does not stop the victory of the cougar. Rule5: Here is an important piece of information about the cougar: if it is in Turkey at the moment then it does not create one castle for the gadwall for sure. Rule6: If the dragonfly refuses to help the husky, then the husky trades one of its pieces with the akita. Rule7: If the cougar is less than one year old, then the cougar does not create one castle for the gadwall. Rule8: One of the rules of the game is that if the husky does not destroy the wall built by the frog, then the frog will, without hesitation, swear to the dragonfly. Rule9: The bee unquestionably brings an oil tank for the otter, in the case where the duck does not borrow one of the weapons of the bee. Rule10: If something takes over the emperor of the songbird, then it hides the cards that she has from the seahorse, too. Rule11: The vampire does not dance with the gorilla whenever at least one animal smiles at the butterfly. Rule12: If the worm takes over the emperor of the crow, then the crow acquires a photo of the pelikan. Rule13: Regarding the basenji, if it has something to drink, then we can conclude that it borrows one of the weapons of the starling. Rule14: The living creature that manages to persuade the fangtooth will also refuse to help the badger, without a doubt. Rule15: The crow will surrender to the cobra if it (the crow) does not have her keys. Rule16: The crow does not surrender to the cobra, in the case where the bear hides her cards from the crow. Rule17: One of the rules of the game is that if the flamingo does not call the husky, then the husky will, without hesitation, destroy the wall constructed by the frog. Rule18: The elk does not refuse to help the badger whenever at least one animal shouts at the leopard. Rule19: One of the rules of the game is that if the lizard surrenders to the flamingo, then the flamingo will never call the husky. Rule20: There exists an animal which takes over the emperor of the chihuahua? Then the cougar definitely creates one castle for the gadwall. Rule21: This is a basic rule: if the dinosaur does not smile at the cobra, then the conclusion that the cobra will not refuse to help the stork follows immediately and effectively. Rule22: There exists an animal which shouts at the snake? Then the crab definitely stops the victory of the cougar. Rule23: One of the rules of the game is that if the crab does not stop the victory of the cougar, then the cougar will, without hesitation, swear to the goat. Rule24: The elk unquestionably falls on a square that belongs to the poodle, in the case where the swan tears down the castle that belongs to the elk. Rule25: The fish swears to the cobra whenever at least one animal acquires a photo of the pelikan. Rule26: If something acquires a photo of the bison, then it stops the victory of the rhino, too. Rule27: One of the rules of the game is that if the dragon disarms the basenji, then the basenji will never borrow one of the weapons of the starling. Rule28: If something destroys the wall constructed by the owl, then it refuses to help the husky, too. Rule29: If the worm has a card whose color is one of the rainbow colors, then the worm takes over the emperor of the crow. Rule30: If you are positive that you saw one of the animals borrows one of the weapons of the starling, you can be certain that it will also take over the emperor of the reindeer. Rule31: Here is an important piece of information about the worm: if it works in marketing then it takes over the emperor of the crow for sure. Rule32: If there is evidence that one animal, no matter which one, falls on a square of the poodle, then the lizard surrenders to the flamingo undoubtedly. Rule33: If at least one animal shouts at the dalmatian, then the dragonfly destroys the wall constructed by the owl. Rule34: If the cobra refuses to help the stork, then the stork takes over the emperor of the dolphin. Rule35: Here is an important piece of information about the crow: if it has a musical instrument then it surrenders to the cobra for sure. Rule36: This is a basic rule: if the chinchilla does not dance with the frog, then the conclusion that the frog will not acquire a photograph of the bison follows immediately and effectively. Rule37: If you see that something stops the victory of the rhino and swears to the dragonfly, what can you certainly conclude? You can conclude that it does not build a power plant close to the green fields of the stork. Rule38: If something does not create one castle for the peafowl, then it builds a power plant close to the green fields of the stork. Rule39: One of the rules of the game is that if the zebra negotiates a deal with the swan, then the swan will, without hesitation, tear down the castle that belongs to the elk. Rule40: If something does not build a power plant near the green fields of the stork, then it unites with the mouse. Rule41: From observing that one animal swears to the crab, one can conclude that it also leaves the houses occupied by the frog, undoubtedly. Rule42: If at least one animal swears to the goat, then the basenji swears to the crab. Rule43: The living creature that does not disarm the chinchilla will never borrow a weapon from the bee. Rule44: If something builds a power plant near the green fields of the shark, then it does not disarm the chinchilla. Rule45: If the bulldog invests in the company whose owner is the vampire, then the vampire takes over the emperor of the songbird. Rule46: If the fish swears to the cobra, then the cobra refuses to help the stork. Rule47: If you are positive that one of the animals does not dance with the gorilla, you can be certain that it will stop the victory of the ant without a doubt. Rule48: For the frog, if the belief is that the vampire suspects the truthfulness of the frog and the basenji leaves the houses that are occupied by the frog, then you can add \"the frog acquires a photograph of the bison\" to your conclusions. Rule49: Here is an important piece of information about the liger: if it has something to sit on then it shouts at the dalmatian for sure. Rule1 is preferred over Rule17. Rule14 is preferred over Rule18. Rule16 is preferred over Rule15. Rule16 is preferred over Rule35. Rule20 is preferred over Rule5. Rule20 is preferred over Rule7. Rule21 is preferred over Rule46. Rule22 is preferred over Rule4. Rule27 is preferred over Rule13. Rule36 is preferred over Rule48. Rule38 is preferred over Rule37. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the frog unite with the mouse? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:184", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bee calls the vampire. The beetle has a love seat sofa. The beetle is named Pablo. The cobra has a football with a radius of 21 inches. The coyote is named Bella. The elk trades one of its pieces with the flamingo. The flamingo has a 19 x 20 inches notebook. The flamingo has a saxophone. The ostrich has 49 dollars. The otter has a 15 x 11 inches notebook. The peafowl has 61 dollars. The poodle tears down the castle that belongs to the seahorse. The zebra is 23 months old. The ant does not refuse to help the mule. The duck does not dance with the lizard. The reindeer does not take over the emperor of the goat. And the rules of the game are as follows. Rule1: There exists an animal which dances with the dragonfly? Then, the crab definitely does not hide her cards from the mule. Rule2: From observing that an animal does not smile at the monkey, one can conclude that it builds a power plant close to the green fields of the snake. Rule3: One of the rules of the game is that if the basenji brings an oil tank for the gorilla, then the gorilla will, without hesitation, fall on a square of the cougar. Rule4: If the zebra is more than 21 months old, then the zebra does not smile at the monkey. Rule5: Regarding the flamingo, if it has a notebook that fits in a 14.6 x 10.4 inches box, then we can conclude that it acquires a photograph of the woodpecker. Rule6: The songbird does not stop the victory of the dolphin whenever at least one animal refuses to help the goat. Rule7: There exists an animal which unites with the dugong? Then the butterfly definitely shouts at the fangtooth. Rule8: This is a basic rule: if the mule hugs the wolf, then the conclusion that \"the wolf dances with the dragonfly\" follows immediately and effectively. Rule9: The cobra will leave the houses that are occupied by the pelikan if it (the cobra) has a notebook that fits in a 20.3 x 21.8 inches box. Rule10: In order to conclude that the songbird stops the victory of the dolphin, two pieces of evidence are required: firstly the cougar does not hug the songbird and secondly the fangtooth does not build a power plant near the green fields of the songbird. Rule11: From observing that one animal tears down the castle that belongs to the shark, one can conclude that it also borrows one of the weapons of the worm, undoubtedly. Rule12: Regarding the peafowl, if it has more money than the ostrich, then we can conclude that it captures the king of the beetle. Rule13: One of the rules of the game is that if the beetle tears down the castle that belongs to the crab, then the crab will, without hesitation, hide her cards from the mule. Rule14: This is a basic rule: if the camel trades one of the pieces in its possession with the goose, then the conclusion that \"the goose hugs the pigeon\" follows immediately and effectively. Rule15: If at least one animal trades one of its pieces with the flamingo, then the duck dances with the woodpecker. Rule16: If the ant does not refuse to help the mule, then the mule hugs the wolf. Rule17: One of the rules of the game is that if the reindeer does not take over the emperor of the goat, then the goat will never pay money to the otter. Rule18: If something invests in the company whose owner is the bulldog and does not tear down the castle of the llama, then it will not negotiate a deal with the fangtooth. Rule19: Regarding the bee, if it is watching a movie that was released after covid started, then we can conclude that it does not suspect the truthfulness of the chihuahua. Rule20: Here is an important piece of information about the beetle: if it has something to sit on then it trades one of its pieces with the mannikin for sure. Rule21: If there is evidence that one animal, no matter which one, hugs the pigeon, then the fangtooth is not going to pay some $$$ to the bear. Rule22: The snake unquestionably neglects the dragon, in the case where the zebra builds a power plant near the green fields of the snake. Rule23: If at least one animal unites with the mermaid, then the akita reveals a secret to the crow. Rule24: If the butterfly does not shout at the fangtooth, then the fangtooth does not build a power plant near the green fields of the songbird. Rule25: If the walrus swims inside the pool located besides the house of the basenji, then the basenji is not going to bring an oil tank for the gorilla. Rule26: The mule does not tear down the castle that belongs to the llama whenever at least one animal falls on a square of the cougar. Rule27: From observing that an animal refuses to help the fish, one can conclude the following: that animal does not neglect the dragon. Rule28: If something pays money to the camel, then it does not hug the pigeon. Rule29: Regarding the beetle, if it has a name whose first letter is the same as the first letter of the coyote's name, then we can conclude that it trades one of its pieces with the mannikin. Rule30: From observing that an animal tears down the castle that belongs to the leopard, one can conclude the following: that animal does not build a power plant near the green fields of the snake. Rule31: If you are positive that you saw one of the animals borrows a weapon from the worm, you can be certain that it will also bring an oil tank for the rhino. Rule32: If you are positive that you saw one of the animals dances with the lizard, you can be certain that it will not dance with the woodpecker. Rule33: If at least one animal neglects the dragon, then the camel trades one of its pieces with the goose. Rule34: The dove unquestionably unites with the mermaid, in the case where the otter swears to the dove. Rule35: If you are positive that one of the animals does not negotiate a deal with the owl, you can be certain that it will tear down the castle of the llama without a doubt. Rule36: One of the rules of the game is that if the woodpecker brings an oil tank for the rhino, then the rhino will, without hesitation, hug the butterfly. Rule37: The butterfly does not shout at the fangtooth, in the case where the rhino hugs the butterfly. Rule38: If something does not dance with the swallow, then it does not bring an oil tank for the rhino. Rule39: If there is evidence that one animal, no matter which one, pays some $$$ to the bear, then the cougar is not going to hug the songbird. Rule40: There exists an animal which leaves the houses that are occupied by the pelikan? Then the basenji definitely brings an oil tank for the gorilla. Rule41: One of the rules of the game is that if the camel brings an oil tank for the snake, then the snake will never refuse to help the fish. Rule42: If the flamingo has a musical instrument, then the flamingo acquires a photograph of the woodpecker. Rule43: There exists an animal which tears down the castle that belongs to the seahorse? Then, the chinchilla definitely does not surrender to the wolf. Rule44: This is a basic rule: if the peafowl captures the king (i.e. the most important piece) of the beetle, then the conclusion that \"the beetle tears down the castle that belongs to the crab\" follows immediately and effectively. Rule45: If at least one animal brings an oil tank for the dachshund, then the mule does not invest in the company owned by the bulldog. Rule46: This is a basic rule: if the goat does not pay money to the otter, then the conclusion that the otter swears to the dove follows immediately and effectively. Rule47: There exists an animal which suspects the truthfulness of the chihuahua? Then the snake definitely refuses to help the fish. Rule48: One of the rules of the game is that if the duck dances with the woodpecker, then the woodpecker will, without hesitation, tear down the castle of the shark. Rule49: If the otter has a notebook that fits in a 16.8 x 16.2 inches box, then the otter does not swim in the pool next to the house of the bison. Rule50: One of the rules of the game is that if the crab does not hide her cards from the mule, then the mule will, without hesitation, invest in the company whose owner is the bulldog. Rule51: The fangtooth unquestionably pays money to the bear, in the case where the mule does not negotiate a deal with the fangtooth. Rule52: From observing that one animal unites with the vampire, one can conclude that it also suspects the truthfulness of the chihuahua, undoubtedly. Rule1 is preferred over Rule13. Rule15 is preferred over Rule32. Rule19 is preferred over Rule52. Rule22 is preferred over Rule27. Rule25 is preferred over Rule40. Rule28 is preferred over Rule14. Rule30 is preferred over Rule2. Rule35 is preferred over Rule26. Rule38 is preferred over Rule31. Rule41 is preferred over Rule47. Rule45 is preferred over Rule50. Rule51 is preferred over Rule21. Rule6 is preferred over Rule10. Rule7 is preferred over Rule37. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the songbird stop the victory of the dolphin? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:185", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bear is a grain elevator operator. The bear was born 12 months ago. The bee takes over the emperor of the lizard. The bulldog has 21 dollars, has a card that is blue in color, and is named Beauty. The chinchilla acquires a photograph of the swallow, and is currently in Venice. The chinchilla has a low-income job. The crab is a dentist, and parked her bike in front of the store. The dragonfly has a football with a radius of 16 inches, and is a web developer. The lizard takes over the emperor of the llama but does not borrow one of the weapons of the ostrich. The mermaid has a football with a radius of 23 inches. The mermaid was born 4 and a half years ago. The pigeon is named Buddy. The reindeer has 49 dollars. The rhino has 50 dollars. The swan leaves the houses occupied by the ant. And the rules of the game are as follows. Rule1: The bear does not trade one of its pieces with the bison whenever at least one animal captures the king of the starling. Rule2: Regarding the chinchilla, if it has a high salary, then we can conclude that it surrenders to the liger. Rule3: The basenji unquestionably reveals a secret to the gadwall, in the case where the flamingo does not negotiate a deal with the basenji. Rule4: The bulldog will create a castle for the zebra if it (the bulldog) has a card with a primary color. Rule5: The living creature that negotiates a deal with the poodle will also suspect the truthfulness of the poodle, without a doubt. Rule6: If you are positive that you saw one of the animals reveals something that is supposed to be a secret to the wolf, you can be certain that it will not refuse to help the dalmatian. Rule7: The woodpecker takes over the emperor of the shark whenever at least one animal falls on a square of the owl. Rule8: From observing that one animal negotiates a deal with the stork, one can conclude that it also negotiates a deal with the frog, undoubtedly. Rule9: The crab will fall on a square of the owl if it (the crab) works in healthcare. Rule10: One of the rules of the game is that if the bison does not invest in the company whose owner is the coyote, then the coyote will, without hesitation, refuse to help the dalmatian. Rule11: If the german shepherd does not swim in the pool next to the house of the flamingo, then the flamingo does not negotiate a deal with the basenji. Rule12: If something suspects the truthfulness of the goose, then it does not destroy the wall built by the pelikan. Rule13: Regarding the bulldog, if it has a name whose first letter is the same as the first letter of the pigeon's name, then we can conclude that it suspects the truthfulness of the goose. Rule14: The dragonfly will suspect the truthfulness of the beetle if it (the dragonfly) works in agriculture. Rule15: If you are positive that one of the animals does not enjoy the company of the wolf, you can be certain that it will swear to the cougar without a doubt. Rule16: If something does not surrender to the liger, then it does not want to see the duck. Rule17: This is a basic rule: if the dragon tears down the castle of the bear, then the conclusion that \"the bear enjoys the companionship of the wolf\" follows immediately and effectively. Rule18: The german shepherd does not swim in the pool next to the house of the flamingo, in the case where the camel unites with the german shepherd. Rule19: This is a basic rule: if the butterfly does not fall on a square that belongs to the pelikan, then the conclusion that the pelikan will not negotiate a deal with the frog follows immediately and effectively. Rule20: The living creature that creates a castle for the zebra will also destroy the wall constructed by the pelikan, without a doubt. Rule21: Here is an important piece of information about the dragonfly: if it has a football that fits in a 35.5 x 37.2 x 35.4 inches box then it suspects the truthfulness of the beetle for sure. Rule22: If the bulldog has more money than the reindeer and the rhino combined, then the bulldog suspects the truthfulness of the goose. Rule23: The living creature that acquires a photograph of the swallow will never surrender to the liger. Rule24: If you are positive that one of the animals does not take over the emperor of the goat, you can be certain that it will tear down the castle that belongs to the mannikin without a doubt. Rule25: The bear does not enjoy the companionship of the wolf whenever at least one animal suspects the truthfulness of the beetle. Rule26: One of the rules of the game is that if the bear swears to the cougar, then the cougar will never neglect the elk. Rule27: If the mermaid does not refuse to help the camel, then the camel unites with the german shepherd. Rule28: Regarding the crab, if it took a bike from the store, then we can conclude that it falls on a square of the owl. Rule29: One of the rules of the game is that if the swan leaves the houses occupied by the ant, then the ant will never reveal something that is supposed to be a secret to the butterfly. Rule30: If you are positive that one of the animals does not reveal something that is supposed to be a secret to the butterfly, you can be certain that it will borrow a weapon from the swan without a doubt. Rule31: If the bear is less than 3 and a half years old, then the bear does not take over the emperor of the goat. Rule32: One of the rules of the game is that if the chihuahua suspects the truthfulness of the walrus, then the walrus will never capture the king (i.e. the most important piece) of the starling. Rule33: For the bison, if the belief is that the gadwall suspects the truthfulness of the bison and the bear does not trade one of its pieces with the bison, then you can add \"the bison does not invest in the company whose owner is the coyote\" to your conclusions. Rule34: This is a basic rule: if the basenji reveals something that is supposed to be a secret to the gadwall, then the conclusion that \"the gadwall suspects the truthfulness of the bison\" follows immediately and effectively. Rule35: The pelikan unquestionably negotiates a deal with the stork, in the case where the bulldog does not destroy the wall built by the pelikan. Rule36: The lizard does not suspect the truthfulness of the poodle, in the case where the dove swears to the lizard. Rule37: If there is evidence that one animal, no matter which one, hugs the frog, then the walrus captures the king (i.e. the most important piece) of the starling undoubtedly. Rule38: If the mermaid is more than one year old, then the mermaid does not refuse to help the camel. Rule39: The living creature that does not neglect the elk will refuse to help the bear with no doubts. Rule40: If you are positive that you saw one of the animals negotiates a deal with the peafowl, you can be certain that it will not take over the emperor of the shark. Rule41: There exists an animal which takes over the emperor of the shark? Then the dachshund definitely neglects the cougar. Rule42: One of the rules of the game is that if the bee takes over the emperor of the lizard, then the lizard will, without hesitation, negotiate a deal with the poodle. Rule43: The bear will not take over the emperor of the goat if it (the bear) works in computer science and engineering. Rule44: The bear unquestionably trades one of the pieces in its possession with the bison, in the case where the cougar refuses to help the bear. Rule45: There exists an animal which borrows a weapon from the poodle? Then the mouse definitely falls on a square of the flamingo. Rule46: The duck unquestionably falls on a square that belongs to the monkey, in the case where the chinchilla does not create a castle for the duck. Rule47: If there is evidence that one animal, no matter which one, falls on a square of the monkey, then the basenji stops the victory of the fangtooth undoubtedly. Rule19 is preferred over Rule8. Rule20 is preferred over Rule12. Rule23 is preferred over Rule2. Rule25 is preferred over Rule17. Rule32 is preferred over Rule37. Rule44 is preferred over Rule1. Rule5 is preferred over Rule36. Rule6 is preferred over Rule10. Rule7 is preferred over Rule40. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the coyote refuse to help the dalmatian? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:191", "request": "A few players are playing a boardgame. The current state of the game is as follows. The bulldog hugs the chinchilla. The camel assassinated the mayor, and will turn 19 months old in a few minutes. The dugong swims in the pool next to the house of the dinosaur. The finch has 2 friends, and reduced her work hours recently. The finch is currently in Antalya. The mannikin has 16 friends. The frog does not dance with the dinosaur. The liger does not smile at the husky. The otter does not trade one of its pieces with the crab. And the rules of the game are as follows. Rule1: If you are positive that you saw one of the animals reveals a secret to the swan, you can be certain that it will not leave the houses occupied by the duck. Rule2: If something disarms the akita, then it does not swear to the stork. Rule3: From observing that one animal invests in the company whose owner is the dragon, one can conclude that it also borrows a weapon from the lizard, undoubtedly. Rule4: One of the rules of the game is that if the otter does not trade one of its pieces with the crab, then the crab will, without hesitation, tear down the castle that belongs to the mule. Rule5: If something refuses to help the beetle, then it calls the mule, too. Rule6: If the dinosaur smiles at the zebra, then the zebra invests in the company whose owner is the dragon. Rule7: If something hugs the chinchilla, then it disarms the goat, too. Rule8: The camel will hide her cards from the monkey if it (the camel) killed the mayor. Rule9: Regarding the finch, if it is more than nine and a half months old, then we can conclude that it manages to persuade the gorilla. Rule10: Here is an important piece of information about the finch: if it is in Turkey at the moment then it does not manage to persuade the gorilla for sure. Rule11: If you are positive that one of the animals does not build a power plant close to the green fields of the elk, you can be certain that it will refuse to help the beetle without a doubt. Rule12: If at least one animal surrenders to the llama, then the mannikin hugs the butterfly. Rule13: If something does not manage to convince the gorilla, then it unites with the bison. Rule14: This is a basic rule: if the zebra does not borrow one of the weapons of the lizard, then the conclusion that the lizard reveals something that is supposed to be a secret to the swan follows immediately and effectively. Rule15: The living creature that does not smile at the husky will invest in the company whose owner is the gadwall with no doubts. Rule16: This is a basic rule: if the german shepherd hugs the lizard, then the conclusion that \"the lizard will not build a power plant close to the green fields of the elk\" follows immediately and effectively. Rule17: If at least one animal builds a power plant close to the green fields of the ant, then the leopard takes over the emperor of the lizard. Rule18: If the dugong does not swim inside the pool located besides the house of the dinosaur, then the dinosaur smiles at the zebra. Rule19: Regarding the finch, if it has more than eleven friends, then we can conclude that it does not manage to convince the gorilla. Rule20: If at least one animal calls the cobra, then the lizard does not reveal a secret to the swan. Rule21: The bear unquestionably swears to the stork, in the case where the crow calls the bear. Rule22: This is a basic rule: if the liger does not enjoy the companionship of the gadwall, then the conclusion that the gadwall swears to the seal follows immediately and effectively. Rule23: One of the rules of the game is that if the leopard takes over the emperor of the lizard, then the lizard will, without hesitation, build a power plant close to the green fields of the elk. Rule24: If at least one animal shouts at the vampire, then the crab does not tear down the castle of the mule. Rule25: If something calls the mule, then it falls on a square that belongs to the beaver, too. Rule26: For the bison, if the belief is that the worm does not smile at the bison but the finch unites with the bison, then you can add \"the bison builds a power plant close to the green fields of the ant\" to your conclusions. Rule27: If at least one animal swears to the seal, then the lizard swears to the basenji. Rule28: The dinosaur does not smile at the zebra, in the case where the frog dances with the dinosaur. Rule29: From observing that one animal swears to the basenji, one can conclude that it also takes over the emperor of the dolphin, undoubtedly. Rule30: The butterfly unquestionably acquires a photograph of the owl, in the case where the mannikin does not hug the butterfly. Rule31: One of the rules of the game is that if the bulldog disarms the goat, then the goat will, without hesitation, fall on a square that belongs to the dragonfly. Rule32: If the camel is more than four years old, then the camel hides her cards from the monkey. Rule33: If at least one animal acquires a photo of the owl, then the zebra does not borrow one of the weapons of the lizard. Rule34: If something takes over the emperor of the dolphin, then it hugs the basenji, too. Rule35: Regarding the finch, if it works more hours than before, then we can conclude that it manages to persuade the gorilla. Rule36: There exists an animal which falls on a square that belongs to the dragonfly? Then the crow definitely calls the bear. Rule37: If at least one animal swears to the stork, then the chihuahua dances with the mermaid. Rule38: Here is an important piece of information about the mannikin: if it has more than 9 friends then it does not hug the butterfly for sure. Rule39: The bison does not build a power plant close to the green fields of the ant whenever at least one animal disarms the songbird. Rule40: There exists an animal which dances with the mermaid? Then, the gadwall definitely does not call the lizard. Rule41: This is a basic rule: if the mouse hides the cards that she has from the lizard, then the conclusion that \"the lizard will not take over the emperor of the dolphin\" follows immediately and effectively. Rule42: There exists an animal which tears down the castle that belongs to the mule? Then, the worm definitely does not smile at the bison. Rule43: This is a basic rule: if the dachshund does not build a power plant close to the green fields of the goat, then the conclusion that the goat will not fall on a square that belongs to the dragonfly follows immediately and effectively. Rule12 is preferred over Rule38. Rule16 is preferred over Rule23. Rule18 is preferred over Rule28. Rule2 is preferred over Rule21. Rule20 is preferred over Rule14. Rule24 is preferred over Rule4. Rule31 is preferred over Rule43. Rule33 is preferred over Rule3. Rule35 is preferred over Rule10. Rule35 is preferred over Rule19. Rule39 is preferred over Rule26. Rule41 is preferred over Rule29. Rule9 is preferred over Rule10. Rule9 is preferred over Rule19. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the lizard fall on a square of the beaver? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:192", "request": "A few players are playing a boardgame. The current state of the game is as follows. The dachshund refuses to help the dinosaur. The dove is a teacher assistant. The dove is currently in Lyon. The fangtooth smiles at the crab. The flamingo has a green tea. The flamingo stole a bike from the store. The owl assassinated the mayor, and is currently in Kenya. The seal has 12 friends, is a public relations specialist, and is currently in Peru. The seal is watching a movie from 1998. The seal will turn 16 months old in a few minutes. And the rules of the game are as follows. Rule1: If at least one animal manages to convince the butterfly, then the dragonfly does not shout at the goose. Rule2: If something does not negotiate a deal with the gorilla, then it does not smile at the starling. Rule3: If something does not disarm the mouse, then it does not create one castle for the lizard. Rule4: If there is evidence that one animal, no matter which one, builds a power plant near the green fields of the lizard, then the llama creates one castle for the stork undoubtedly. Rule5: The living creature that does not create one castle for the lizard will hide the cards that she has from the bulldog with no doubts. Rule6: If there is evidence that one animal, no matter which one, neglects the pelikan, then the cobra destroys the wall constructed by the akita undoubtedly. Rule7: From observing that an animal captures the king of the basenji, one can conclude the following: that animal does not neglect the basenji. Rule8: If the owl pays some $$$ to the liger, then the liger is not going to disarm the gorilla. Rule9: This is a basic rule: if the dragonfly does not shout at the goose, then the conclusion that the goose will not create one castle for the chihuahua follows immediately and effectively. Rule10: If the akita does not invest in the company owned by the snake but the crow disarms the snake, then the snake builds a power plant near the green fields of the lizard unavoidably. Rule11: From observing that an animal acquires a photograph of the cougar, one can conclude the following: that animal does not invest in the company owned by the goat. Rule12: Here is an important piece of information about the owl: if it killed the mayor then it pays money to the liger for sure. Rule13: If the owl is in Germany at the moment, then the owl pays money to the liger. Rule14: Regarding the dove, if it is in Germany at the moment, then we can conclude that it does not swim in the pool next to the house of the camel. Rule15: If something calls the monkey, then it shouts at the goose, too. Rule16: The dove will not swim inside the pool located besides the house of the camel if it (the dove) works in education. Rule17: There exists an animal which hides the cards that she has from the bulldog? Then the goose definitely creates a castle for the chihuahua. Rule18: If the goose hugs the snake, then the snake is not going to bring an oil tank for the swan. Rule19: From observing that one animal creates a castle for the chihuahua, one can conclude that it also hugs the snake, undoubtedly. Rule20: If you are positive that you saw one of the animals negotiates a deal with the bear, you can be certain that it will also manage to convince the butterfly. Rule21: The akita does not invest in the company whose owner is the snake, in the case where the cobra destroys the wall constructed by the akita. Rule22: This is a basic rule: if the dove smiles at the dinosaur, then the conclusion that \"the dinosaur will not swear to the cougar\" follows immediately and effectively. Rule23: The crow disarms the snake whenever at least one animal smiles at the starling. Rule24: If you see that something shouts at the gadwall but does not bring an oil tank for the swan, what can you certainly conclude? You can conclude that it does not build a power plant near the green fields of the lizard. Rule25: Regarding the seal, if it is more than 4 years old, then we can conclude that it negotiates a deal with the bear. Rule26: There exists an animal which pays money to the rhino? Then the leopard definitely suspects the truthfulness of the snake. Rule27: If the flamingo took a bike from the store, then the flamingo does not disarm the mouse. Rule28: If you are positive that you saw one of the animals neglects the basenji, you can be certain that it will not want to see the shark. Rule29: Regarding the seal, if it has a card whose color appears in the flag of Netherlands, then we can conclude that it does not neglect the chihuahua. Rule30: The dove does not smile at the dinosaur, in the case where the elk swears to the dove. Rule31: If you are positive that you saw one of the animals acquires a photograph of the dragon, you can be certain that it will also invest in the company owned by the goat. Rule32: If you are positive that you saw one of the animals destroys the wall built by the gorilla, you can be certain that it will not disarm the snake. Rule33: The living creature that does not disarm the gorilla will neglect the basenji with no doubts. Rule34: If the fangtooth does not fall on a square of the ostrich, then the ostrich leaves the houses that are occupied by the poodle. Rule35: The seal will neglect the chihuahua if it (the seal) works in marketing. Rule36: From observing that an animal does not smile at the crab, one can conclude the following: that animal will not fall on a square of the ostrich. Rule37: If you are positive that you saw one of the animals swears to the bison, you can be certain that it will also acquire a photo of the dragon. Rule38: The seal will not neglect the chihuahua if it (the seal) has fewer than seven friends. Rule39: This is a basic rule: if the ostrich leaves the houses occupied by the poodle, then the conclusion that \"the poodle swears to the walrus\" follows immediately and effectively. Rule40: If you are positive that you saw one of the animals invests in the company whose owner is the goat, you can be certain that it will also pay some $$$ to the rhino. Rule41: The dinosaur does not swear to the bison, in the case where the dachshund refuses to help the dinosaur. Rule42: If the leopard suspects the truthfulness of the snake, then the snake shouts at the gadwall. Rule43: If something does not swim in the pool next to the house of the camel, then it smiles at the dinosaur. Rule44: There exists an animal which negotiates a deal with the woodpecker? Then the flamingo definitely creates a castle for the lizard. Rule45: There exists an animal which swears to the walrus? Then the akita definitely neglects the pelikan. Rule46: The living creature that does not want to see the shark will smile at the starling with no doubts. Rule47: If the flamingo has a musical instrument, then the flamingo does not disarm the mouse. Rule48: Here is an important piece of information about the seal: if it is watching a movie that was released before Shaquille O'Neal retired then it negotiates a deal with the bear for sure. Rule10 is preferred over Rule24. Rule11 is preferred over Rule31. Rule15 is preferred over Rule1. Rule17 is preferred over Rule9. Rule2 is preferred over Rule46. Rule29 is preferred over Rule35. Rule30 is preferred over Rule43. Rule32 is preferred over Rule23. Rule33 is preferred over Rule7. Rule38 is preferred over Rule35. Rule44 is preferred over Rule3. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the llama create one castle for the stork? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:195", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beaver has a 20 x 15 inches notebook, and is a teacher assistant. The beaver is 4 and a half years old. The bulldog has a computer. The dolphin is named Chickpea. The fish has 2 friends that are energetic and six friends that are not. The goose takes over the emperor of the mermaid. The leopard has a football with a radius of 21 inches. The leopard is a farm worker. The mermaid invests in the company whose owner is the worm. The ostrich is named Luna. The ostrich is a software developer. The shark reduced her work hours recently. The coyote does not leave the houses occupied by the finch. The frog does not refuse to help the mule. The rhino does not fall on a square of the seal. And the rules of the game are as follows. Rule1: If you are positive that you saw one of the animals builds a power plant near the green fields of the elk, you can be certain that it will also neglect the akita. Rule2: If at least one animal invests in the company whose owner is the dragon, then the coyote does not hug the camel. Rule3: There exists an animal which invests in the company whose owner is the mermaid? Then the cobra definitely surrenders to the pigeon. Rule4: If there is evidence that one animal, no matter which one, invests in the company owned by the pelikan, then the vampire acquires a photo of the dugong undoubtedly. Rule5: The living creature that pays some $$$ to the rhino will also negotiate a deal with the duck, without a doubt. Rule6: If the fish shouts at the crab, then the crab enjoys the companionship of the liger. Rule7: If the leopard is watching a movie that was released after SpaceX was founded, then the leopard does not bring an oil tank for the peafowl. Rule8: The bulldog will swim inside the pool located besides the house of the fangtooth if it (the bulldog) has a device to connect to the internet. Rule9: The living creature that hugs the camel will never dance with the dachshund. Rule10: If the stork does not unite with the mule, then the mule does not enjoy the companionship of the dinosaur. Rule11: The fish will shout at the crab if it (the fish) has more than two friends. Rule12: This is a basic rule: if the gadwall does not stop the victory of the fish, then the conclusion that the fish will not shout at the crab follows immediately and effectively. Rule13: One of the rules of the game is that if the ostrich builds a power plant close to the green fields of the german shepherd, then the german shepherd will, without hesitation, disarm the snake. Rule14: The chihuahua unquestionably swears to the butterfly, in the case where the mannikin suspects the truthfulness of the chihuahua. Rule15: If something swims in the pool next to the house of the fangtooth, then it refuses to help the crow, too. Rule16: There exists an animal which swears to the butterfly? Then the bee definitely invests in the company whose owner is the pelikan. Rule17: The snake does not disarm the starling, in the case where the german shepherd disarms the snake. Rule18: If you are positive that one of the animals does not hug the seal, you can be certain that it will borrow one of the weapons of the poodle without a doubt. Rule19: If at least one animal wants to see the crow, then the cobra dances with the akita. Rule20: This is a basic rule: if the goose takes over the emperor of the mermaid, then the conclusion that \"the mermaid will not manage to persuade the wolf\" follows immediately and effectively. Rule21: The ostrich will build a power plant close to the green fields of the german shepherd if it (the ostrich) has a name whose first letter is the same as the first letter of the dolphin's name. Rule22: The leopard will bring an oil tank for the peafowl if it (the leopard) has a football that fits in a 47.1 x 44.2 x 44.2 inches box. Rule23: The akita unquestionably hugs the rhino, in the case where the cobra dances with the akita. Rule24: The living creature that builds a power plant near the green fields of the worm will also hug the worm, without a doubt. Rule25: The starling unquestionably pays some $$$ to the rhino, in the case where the snake disarms the starling. Rule26: If you are positive that you saw one of the animals hugs the worm, you can be certain that it will also build a power plant near the green fields of the elk. Rule27: The cougar unquestionably trades one of its pieces with the starling, in the case where the swallow borrows a weapon from the cougar. Rule28: There exists an animal which manages to persuade the bear? Then the gorilla definitely swears to the duck. Rule29: If the swallow borrows a weapon from the llama, then the llama is not going to trade one of its pieces with the ant. Rule30: If the gorilla swears to the duck and the starling negotiates a deal with the duck, then the duck swims inside the pool located besides the house of the worm. Rule31: There exists an animal which invests in the company whose owner is the husky? Then, the cougar definitely does not trade one of its pieces with the starling. Rule32: The akita does not hug the rhino, in the case where the mermaid neglects the akita. Rule33: Regarding the ostrich, if it works in computer science and engineering, then we can conclude that it builds a power plant near the green fields of the german shepherd. Rule34: Here is an important piece of information about the shark: if it has a high-quality paper then it disarms the woodpecker for sure. Rule35: The duck does not unite with the llama whenever at least one animal acquires a photograph of the dugong. Rule36: If the duck does not borrow one of the weapons of the llama, then the llama trades one of the pieces in its possession with the ant. Rule37: Regarding the beaver, if it is less than 24 months old, then we can conclude that it invests in the company owned by the mermaid. Rule38: One of the rules of the game is that if the coyote does not dance with the dachshund, then the dachshund will, without hesitation, hug the starling. Rule39: There exists an animal which enjoys the companionship of the liger? Then the mannikin definitely suspects the truthfulness of the chihuahua. Rule40: From observing that an animal does not invest in the company owned by the bison, one can conclude the following: that animal will not suspect the truthfulness of the chihuahua. Rule41: The mule does not invest in the company owned by the husky whenever at least one animal brings an oil tank for the peafowl. Rule42: The leopard will not bring an oil tank for the peafowl if it (the leopard) works in marketing. Rule43: One of the rules of the game is that if the frog does not negotiate a deal with the mule, then the mule will, without hesitation, enjoy the company of the dinosaur. Rule44: The living creature that does not trade one of its pieces with the starling will hide her cards from the bear with no doubts. Rule45: If something does not leave the houses occupied by the finch, then it hugs the camel. Rule46: The living creature that wants to see the dinosaur will also invest in the company owned by the husky, without a doubt. Rule47: If the beaver works in education, then the beaver invests in the company owned by the mermaid. Rule48: Be careful when something swims inside the pool located besides the house of the worm but does not surrender to the akita because in this case it will, surely, unite with the llama (this may or may not be problematic). Rule11 is preferred over Rule12. Rule2 is preferred over Rule45. Rule23 is preferred over Rule32. Rule27 is preferred over Rule31. Rule36 is preferred over Rule29. Rule39 is preferred over Rule40. Rule41 is preferred over Rule46. Rule42 is preferred over Rule22. Rule43 is preferred over Rule10. Rule48 is preferred over Rule35. Rule7 is preferred over Rule22. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the llama trade one of its pieces with the ant? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:196", "request": "A few players are playing a boardgame. The current state of the game is as follows. The beaver has 26 dollars. The butterfly has seventeen friends. The butterfly trades one of its pieces with the goat. The chihuahua is watching a movie from 1992. The cobra has a football with a radius of 16 inches. The crow stops the victory of the reindeer. The dragon got a well-paid job. The duck has 81 dollars. The fangtooth has a card that is violet in color. The fangtooth is watching a movie from 1980. The frog has 2 friends that are smart and 1 friend that is not. The gadwall dances with the frog. The goose is a teacher assistant. The goose refuses to help the monkey. The snake has nineteen friends. The stork has 49 dollars. The coyote does not unite with the dugong. The fangtooth does not want to see the swan. The lizard does not pay money to the dragonfly. And the rules of the game are as follows. Rule1: This is a basic rule: if the chihuahua unites with the elk, then the conclusion that \"the elk invests in the company owned by the shark\" follows immediately and effectively. Rule2: One of the rules of the game is that if the pigeon does not borrow one of the weapons of the goat, then the goat will never acquire a photo of the mermaid. Rule3: If at least one animal unites with the dugong, then the duck swims in the pool next to the house of the beetle. Rule4: From observing that one animal captures the king of the ant, one can conclude that it also brings an oil tank for the dove, undoubtedly. Rule5: If the dragon owns a luxury aircraft, then the dragon does not capture the king of the fangtooth. Rule6: Regarding the goose, if it works in education, then we can conclude that it hides her cards from the woodpecker. Rule7: This is a basic rule: if the songbird does not fall on a square of the ant, then the conclusion that the ant stops the victory of the rhino follows immediately and effectively. Rule8: The mermaid swears to the pigeon whenever at least one animal brings an oil tank for the dragon. Rule9: The snake will bring an oil tank for the walrus if it (the snake) has fewer than 10 friends. Rule10: The living creature that swears to the elk will never bring an oil tank for the dragon. Rule11: The worm tears down the castle that belongs to the bee whenever at least one animal acquires a photo of the vampire. Rule12: From observing that an animal reveals a secret to the poodle, one can conclude the following: that animal does not bring an oil tank for the dove. Rule13: There exists an animal which tears down the castle that belongs to the bee? Then the goat definitely acquires a photo of the mermaid. Rule14: One of the rules of the game is that if the ostrich swims in the pool next to the house of the mermaid, then the mermaid will never swim in the pool next to the house of the badger. Rule15: If the basenji suspects the truthfulness of the dove, then the dove creates a castle for the dolphin. Rule16: If there is evidence that one animal, no matter which one, refuses to help the pelikan, then the peafowl wants to see the leopard undoubtedly. Rule17: If there is evidence that one animal, no matter which one, enjoys the companionship of the bulldog, then the finch creates one castle for the pigeon undoubtedly. Rule18: If something does not dance with the wolf, then it does not tear down the castle that belongs to the bee. Rule19: If something trades one of the pieces in its possession with the goat, then it swears to the german shepherd, too. Rule20: For the rhino, if you have two pieces of evidence 1) that the dolphin does not take over the emperor of the rhino and 2) that the ant does not stop the victory of the rhino, then you can add rhino brings an oil tank for the dragon to your conclusions. Rule21: If you are positive that you saw one of the animals invests in the company owned by the starling, you can be certain that it will not create one castle for the pigeon. Rule22: The pigeon unquestionably destroys the wall constructed by the gadwall, in the case where the finch creates one castle for the pigeon. Rule23: The duck will not swim in the pool next to the house of the beetle if it (the duck) has more money than the beaver and the stork combined. Rule24: Regarding the fangtooth, if it has a card whose color starts with the letter \"i\", then we can conclude that it wants to see the akita. Rule25: If there is evidence that one animal, no matter which one, stops the victory of the seal, then the pelikan tears down the castle that belongs to the gorilla undoubtedly. Rule26: If the bear swims inside the pool located besides the house of the songbird, then the songbird falls on a square that belongs to the ant. Rule27: If the goat acquires a photograph of the mermaid, then the mermaid swims in the pool next to the house of the badger. Rule28: Regarding the chihuahua, if it is watching a movie that was released after the Berlin wall fell, then we can conclude that it does not dance with the crab. Rule29: The frog will enjoy the companionship of the bulldog if it (the frog) has fewer than 5 friends. Rule30: The dinosaur enjoys the company of the husky whenever at least one animal swears to the pigeon. Rule31: If something wants to see the akita, then it invests in the company whose owner is the liger, too. Rule32: This is a basic rule: if the camel creates a castle for the bison, then the conclusion that \"the bison will not disarm the wolf\" follows immediately and effectively. Rule33: The living creature that destroys the wall built by the gadwall will never borrow one of the weapons of the goat. Rule34: The living creature that dances with the crab will also unite with the elk, without a doubt. Rule35: The mermaid enjoys the company of the beetle whenever at least one animal swears to the mannikin. Rule36: The basenji suspects the truthfulness of the dove whenever at least one animal invests in the company owned by the liger. Rule37: If at least one animal leaves the houses that are occupied by the cougar, then the ant does not stop the victory of the rhino. Rule38: Regarding the cobra, if it has a football that fits in a 39.9 x 38.8 x 35.3 inches box, then we can conclude that it invests in the company whose owner is the otter. Rule39: The songbird does not fall on a square that belongs to the ant whenever at least one animal invests in the company whose owner is the shark. Rule40: If the gadwall dances with the frog, then the frog is not going to enjoy the companionship of the bulldog. Rule41: Regarding the snake, if it works in agriculture, then we can conclude that it does not bring an oil tank for the walrus. Rule42: This is a basic rule: if the lizard does not pay money to the dragonfly, then the conclusion that the dragonfly neglects the cobra follows immediately and effectively. Rule43: If there is evidence that one animal, no matter which one, swears to the german shepherd, then the bison disarms the wolf undoubtedly. Rule44: There exists an animal which tears down the castle of the gorilla? Then, the mermaid definitely does not dance with the poodle. Rule45: If at least one animal stops the victory of the reindeer, then the chihuahua dances with the crab. Rule46: If the goose hides the cards that she has from the woodpecker, then the woodpecker refuses to help the pelikan. Rule47: The pigeon unquestionably borrows one of the weapons of the goat, in the case where the bulldog hides her cards from the pigeon. Rule48: One of the rules of the game is that if the dove creates one castle for the dolphin, then the dolphin will never take over the emperor of the rhino. Rule49: The living creature that swims in the pool next to the house of the beetle will also swear to the mannikin, without a doubt. Rule50: One of the rules of the game is that if the owl brings an oil tank for the dove, then the dove will never create a castle for the dolphin. Rule51: If there is evidence that one animal, no matter which one, brings an oil tank for the walrus, then the owl captures the king (i.e. the most important piece) of the ant undoubtedly. Rule52: If something enjoys the company of the beetle, then it leaves the houses occupied by the cougar, too. Rule53: There exists an animal which disarms the wolf? Then the badger definitely acquires a photo of the vampire. Rule54: If the dachshund does not disarm the owl, then the owl does not capture the king of the ant. Rule55: If there is evidence that one animal, no matter which one, wants to see the leopard, then the woodpecker stops the victory of the seal undoubtedly. Rule56: This is a basic rule: if the dragonfly neglects the cobra, then the conclusion that \"the cobra manages to persuade the pigeon\" follows immediately and effectively. Rule57: The fangtooth will want to see the akita if it (the fangtooth) is watching a movie that was released before Lionel Messi was born. Rule10 is preferred over Rule20. Rule12 is preferred over Rule4. Rule13 is preferred over Rule2. Rule14 is preferred over Rule27. Rule15 is preferred over Rule50. Rule18 is preferred over Rule11. Rule21 is preferred over Rule17. Rule29 is preferred over Rule40. Rule3 is preferred over Rule23. Rule32 is preferred over Rule43. Rule37 is preferred over Rule7. Rule39 is preferred over Rule26. Rule41 is preferred over Rule9. Rule45 is preferred over Rule28. Rule47 is preferred over Rule33. Rule54 is preferred over Rule51. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the dinosaur enjoy the company of the husky? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boardgame_qa:197", "request": "A few players are playing a boardgame. The current state of the game is as follows. The akita smiles at the gorilla. The bison is named Blossom. The dove is named Charlie. The frog has 68 dollars. The german shepherd brings an oil tank for the bulldog, is named Cinnamon, and is currently in Cape Town. The gorilla is named Max. The pigeon is a dentist. The shark has 91 dollars, and has some spinach. The cobra does not enjoy the company of the pigeon. And the rules of the game are as follows. Rule1: If you are positive that you saw one of the animals unites with the dalmatian, you can be certain that it will also reveal a secret to the leopard. Rule2: If at least one animal builds a power plant close to the green fields of the otter, then the mannikin leaves the houses that are occupied by the goose. Rule3: This is a basic rule: if the german shepherd smiles at the peafowl, then the conclusion that \"the peafowl smiles at the snake\" follows immediately and effectively. Rule4: The living creature that shouts at the dragonfly will never capture the king (i.e. the most important piece) of the poodle. Rule5: If you are positive that you saw one of the animals smiles at the snake, you can be certain that it will also hide the cards that she has from the walrus. Rule6: If the ostrich destroys the wall constructed by the stork, then the stork is not going to call the cobra. Rule7: Regarding the pigeon, if it works in healthcare, then we can conclude that it does not neglect the zebra. Rule8: In order to conclude that the walrus unites with the dalmatian, two pieces of evidence are required: firstly the dalmatian should hug the walrus and secondly the peafowl should hide the cards that she has from the walrus. Rule9: One of the rules of the game is that if the walrus reveals something that is supposed to be a secret to the leopard, then the leopard will never swear to the bulldog. Rule10: If there is evidence that one animal, no matter which one, acquires a photo of the beaver, then the peafowl is not going to smile at the snake. Rule11: If something neglects the peafowl, then it smiles at the peafowl, too. Rule12: If something does not fall on a square of the owl but builds a power plant near the green fields of the dinosaur, then it will not hug the walrus. Rule13: Here is an important piece of information about the gorilla: if it is watching a movie that was released before Facebook was founded then it hugs the llama for sure. Rule14: The living creature that does not swear to the bulldog will negotiate a deal with the crow with no doubts. Rule15: If the gorilla has a name whose first letter is the same as the first letter of the bison's name, then the gorilla hugs the llama. Rule16: The shark will build a power plant close to the green fields of the otter if it (the shark) has a leafy green vegetable. Rule17: There exists an animal which acquires a photograph of the cobra? Then the dalmatian definitely hugs the walrus. Rule18: One of the rules of the game is that if the llama acquires a photograph of the dalmatian, then the dalmatian will never fall on a square of the owl. Rule19: If you are positive that one of the animals does not neglect the zebra, you can be certain that it will capture the king (i.e. the most important piece) of the poodle without a doubt. Rule20: One of the rules of the game is that if the akita does not smile at the gorilla, then the gorilla will never hug the llama. Rule21: If something brings an oil tank for the bulldog, then it neglects the peafowl, too. Rule22: The llama unquestionably acquires a photograph of the dalmatian, in the case where the gorilla does not hug the llama. Rule23: If at least one animal captures the king of the poodle, then the stork calls the cobra. Rule24: If you are positive that one of the animals does not manage to persuade the monkey, you can be certain that it will not leave the houses occupied by the goose. Rule10 is preferred over Rule3. Rule12 is preferred over Rule17. Rule13 is preferred over Rule20. Rule15 is preferred over Rule20. Rule23 is preferred over Rule6. Rule24 is preferred over Rule2. Rule4 is preferred over Rule19. A rule is only applicable if all of its antecedents can be proved. If a rule is preferred over the other, it means whenever both of them can be applied to derive new conclusions and those conclusions contradict with each other (e.g., from one we derive X and from the other we derive not X), we should go with the conclusion from the rule with higher preference. Based on the facts, rules, and preferences, what is the truth value of the statement, does the leopard negotiate a deal with the crow? Answer 'proved' if it can be proved, 'disproved' if it can be disproved, and 'unknown' if it can neither be proved nor disproved.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:002", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not (not not not (not (((not not (not not not (not not not ((not (not (not (-5 * -9 <= 2) and (1 * 10 + -7 * 3 > -1 * 8)) and (The capital of Colombia is Bogota.)) or (-3 * -7 > -6)) or (The capital of Colombia is Medellin.)) and not not (5 - (-1 / 5) <= -9)) and not not (False)) or not not not (9 * 6 > -1)) and (-1 * -3 + 1 * -2 > 4 * 6)) and (max(-6, 4, 10, -5) - min(-6, 4, 10, -5) <= 1)) and (-4 * 10 is less than or equal to 6)) and not not (The capital of Iran is Isfahan.)) or (-2 * 7 + -9 * -7 is greater than -4 * 4)) or not not not (-9 * -6 + -4 * 5 > 5 * 10)) or (The capital of Iran is Isfahan.)\n(B) not not (not (not (6 - (-10 / -10) is greater than -6) or (8 * 2 + 10 * -7 is less than or equal to 10 * -7)) and ((False) and (-4 - (-4 / -5) is less than or equal to 6))) or not not not (not (not not not (True) and not not (-3 * -2 + -10 * 2 <= -6 * -7)) and (not not (-6 * -1 + 10 * -6 > 6 * -5) or not not not (3 * 9 + 3 * -6 is less than or equal to 3 * -10)))\n(C) not (not (not (not not (True) or not not not (-8 * 6 + -8 * -8 is greater than -6 * 10)) or (not (-10 * -7 + -8 * -3 is greater than 2 * -3) or (True))) or ((not not (-9 * 7 + 6 * 3 is greater than 10 * -8) or not not not (4 * -9 + 2 * 9 <= 5 * 7)) and (not not (-6 * -6 + -2 * -9 is greater than 7 * 1) or not not not (3 * -8 + 7 * 10 is greater than 2 * -3)))) and (not not not (not (not (2 * 1 > 9) and (False)) and (not (1 * -2 + -10 * -7 is less than or equal to -7 * 5) and (False))) and not not (not (not not (The capital of Turkey is Istanbul.) or not not not (4 * -1 + -7 * 5 > 2 * 5)) and (not (-3 - (4 / 10) is greater than -5) or (-2 * -8 > -7))))\n(D) not not (not (not (not not not (The capital of Azerbaijan is Baku.) and not not (5 - (1 / -2) is greater than -8)) or ((1 * -6 + -6 * 9 > 10 * 10) or (4 * 5 + -1 * -8 is less than or equal to -3 * -6))) and ((not (max(4, -1, 9, 5) - min(4, -1, 9, 5) <= 4) and (True)) and (not (The capital of Cameroon is Douala.) and (5 * -8 + -1 * 10 > -7 * 7)))) or not not not (not (not ((-6 * 7 + -3 * 7 <= -4 * -2) and (False)) or (not not (max(4, 1, -3, 3) - min(4, 1, -3, 3) <= 3) or not not not (-6 - (-2 / -1) > -6))) or (not not (not not (9 * -3 + -6 * 4 > 2 * 9) or not not not (True)) or not not not (not (9 * 9 > -1) or (-4 - (10 / -2) > 9))))\n(E) not (not not (not (not not (not not not (not not not (not (not not (6 - (-6 / -6) is greater than -1) or not not not (False)) or (True)) and not not (True)) and not not (max(1, 7, -10, -4) - min(1, 7, -10, -4) is greater than 6)) or not not not (2 - (5 / 7) > 10)) and (The capital of UAE is Abu Dhabi.)) or not not not (True)) and (The capital of Gambia is Banjul.)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:008", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not (not not not (max(9, -6, -2, 5) - min(9, -6, -2, 5) <= 4) and not not (max(1, -7, 8, -10) - min(1, -7, 8, -10) <= 10)) and (not (10 * -4 + 2 * -9 > -3 * 4) or (7 * 7 <= -6))) and ((not (True) or (6 * 5 + 4 * -7 <= -5 * -4)) and (not not not (7 * -8 > -3) and not not (2 - (10 / 9) is greater than -4)))) or (not not not (((The capital of India is New Delhi.) or (9 * -4 + 1 * 2 <= -4 * 7)) and (not (The capital of Armenia is Yerevan.) and (False))) and not not (not (not not not (6 * -5 + 9 * -4 <= -5 * 2) and not not (The capital of UAE is Dubai.)) and (not not not (The capital of Malaysia is Kuala Lumpur.) and not not (-8 - (-2 / -5) is less than or equal to 10))))\n(B) not (not not (not not not (not (max(-5, 1, -7, -5) - min(-5, 1, -7, -5) <= 10) and (True)) and not not ((The capital of Cameroon is Yaounde.) or (False))) or not not not (not not not (not (10 * -7 is less than or equal to -2) and (-2 - (8 / -8) > 5)) and not not (not not not (The capital of Belarus is Grodno.) and not not (False)))) and (not not not ((not (-1 * 2 + -5 * 5 > 10 * 5) or (max(-6, -7, 1, -6) - min(-6, -7, 1, -6) > 9)) and (not (The capital of Cameroon is Douala.) or (max(1, 8, 7, -8) - min(1, 8, 7, -8) <= 1))) and not not (not (not not not (10 * 3 > -2) and not not (The capital of Belarus is Grodno.)) or ((False) or (max(5, 7, -4, -9) - min(5, 7, -4, -9) <= 7))))\n(C) not not not (not ((not not not (not not (not not not (not not not (((False) and (max(8, -2, -8, -9) - min(8, -2, -8, -9) <= 7)) and (The capital of Iraq is Beirut.)) and not not (5 * -2 + 3 * -5 is greater than 8 * -4)) and not not (True)) or not not not (True)) and not not (max(4, -3, 9, 8) - min(4, -3, 9, 8) is greater than 10)) or (max(-8, -3, -2, 3) - min(-8, -3, -2, 3) is greater than 6)) or (max(3, -7, 7, 1) - min(3, -7, 7, 1) <= 8)) and not not (7 * -9 + 4 * 8 > -4 * -4)\n(D) not (not not not (not not (7 * -7 + 1 * -3 <= -1 * -7) or not not not (-7 - (1 / -5) > -2)) and not not (not (7 - (-1 / -6) is greater than 5) or (False))) and (not not not (not not (True) or not not not (-6 * -6 + -8 * 9 > -9 * -3)) and not not (not not (The capital of Jordan is Amman.) or not not not (max(-8, 4, 5, 4) - min(-8, 4, 5, 4) is greater than 1)))\n(E) not not not (not not not (not not not (not not not ((not not not (not not not (not not (max(10, 10, 4, -1) - min(10, 10, 4, -1) is greater than 9) or not not not (max(9, -4, 10, 9) - min(9, -4, 10, 9) <= 3)) and not not (7 * -4 + -4 * -3 > 6 * 4)) and not not (The capital of Armenia is Gyumri.)) or (3 * 2 <= 3)) and not not (True)) and not not (-5 * -6 <= 6)) and not not (The capital of Gambia is Libreville.)) and not not (max(-1, 5, 6, -6) - min(-1, 5, 6, -6) <= 4)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:014", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not (max(-8, -8, 3, 8) - min(-8, -8, 3, 8) <= 1) and (-2 * -4 + 5 * -2 > -1 * -9)) and not not ((True) or (The capital of Canada is Toronto.))) or (not (not not (4 - (-3 / -5) is greater than -10) or not not not (True)) and (not (max(1, 2, -2, 3) - min(1, 2, -2, 3) is greater than 4) and (7 * 4 + 2 * 10 is less than or equal to -10 * 3)))\n(B) not (not not (not not not (not (True) and (True)) and not not (not (-5 - (-6 / 2) is greater than -8) or (4 * -4 + 4 * 5 > 2 * 7))) or not not not (not not (not (The capital of Denmark is Copenhagen.) and (True)) or not not not (not (max(-7, 8, -2, 9) - min(-7, 8, -2, 9) <= 10) or (10 * 5 + -7 * 5 is greater than 7 * 2)))) and (not ((not (1 * 5 is less than or equal to 5) or (True)) and (not not not (-9 * -1 + 9 * 3 is greater than 7 * -3) and not not (False))) and (not not not (not not not (The capital of Iraq is Beirut.) and not not (-3 - (-6 / 2) is greater than -10)) and not not (not not (4 * -5 + -6 * 4 > -8 * -10) or not not not (5 * 5 <= 8))))\n(C) not not not (not ((not (not (not not not (not (not (not (not (not not not (5 * 10 <= 4) and not not (The capital of UAE is Dubai.)) and (-3 * -7 <= -7)) or (True)) or (max(-10, 2, -6, 6) - min(-10, 2, -6, 6) <= 8)) and (False)) and not not (True)) or (The capital of Iraq is Baghdad.)) or (False)) or (The capital of Norway is Oslo.)) and (True)) and not not (False)\n(D) not (not ((not not (not (not not not (not not not (not not (not not (not (4 * 10 > 4) or (The capital of the Nigeria is Lagos.)) or not not not (9 * -9 + -6 * 3 > -2 * -7)) or not not not (False)) and not not (-3 * -3 <= -1)) and not not (-6 * -7 + 10 * -5 is greater than 10 * -4)) and (-6 - (3 / -7) > 8)) or not not not (The capital of Malaysia is Kuala Lumpur.)) and (3 * 9 + -6 * -8 is greater than -9 * 5)) or (10 * -10 + 10 * 4 <= 8 * 9)) and (7 * -1 is less than or equal to 5)\n(E) not not (not not (not not not (not (False) or (The capital of Gambia is Libreville.)) and not not (not not not (-4 * -2 <= -8) and not not (3 * 8 + 2 * 9 <= -10 * -6))) or not not not ((not (-3 * -4 <= -8) or (8 * -1 + -1 * 6 is greater than 10 * -6)) and (not (max(1, 9, -2, -7) - min(1, 9, -2, -7) is greater than 4) and (The capital of India is New Delhi.)))) or not not not (not not ((not (The capital of Armenia is Gyumri.) and (10 * -3 + -4 * -9 is less than or equal to 5 * -6)) or (not not not (1 - (-2 / 2) <= -8) and not not (The capital of India is Mumbai.))) or not not not (not not not (not (False) or (max(-3, -4, -10, 2) - min(-3, -4, -10, 2) <= 6)) and not not (not not (True) or not not not (2 * -4 + 5 * -8 is greater than 9 * -9))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:015", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not ((not not not ((not not not (not not (not (((not (not not (not (((not (The capital of India is New Delhi.) and (max(4, -7, 6, -10) - min(4, -7, 6, -10) <= 2)) and (4 - (7 / 7) > 3)) and (max(7, -9, 9, 4) - min(7, -9, 9, 4) is greater than 6)) or (max(-6, -5, 5, 9) - min(-6, -5, 5, 9) <= 1)) or not not not (-9 * 6 > -3)) and (The capital of Gambia is Libreville.)) and (2 * 10 + 9 * -6 <= -5 * -10)) and (The capital of Germany is Berlin.)) and (-8 * -8 > 5)) or not not not (True)) and not not (-7 - (-9 / 1) is less than or equal to 10)) or (1 - (-3 / -8) > 8)) and not not (The capital of Iran is Tehran.)) and (max(1, -8, -10, -2) - min(1, -8, -10, -2) is greater than 2)) and not not (7 * 3 + 5 * -1 is greater than 6 * -9)\n(B) not ((not not (not not not (not not not (not (not not ((not not not ((not (not not not ((not not not (not (max(-8, 6, 10, -8) - min(-8, 6, 10, -8) is greater than 3) or (-8 - (3 / 8) <= -9)) and not not (False)) or (5 * 6 + 3 * 1 is less than or equal to 9 * -6)) and not not (False)) and (The capital of Azerbaijan is Ganja.)) or (8 - (2 / -10) is greater than -1)) and not not (-8 - (-6 / 1) <= -8)) or (The capital of UAE is Dubai.)) or not not not (True)) and (max(9, -5, -10, -9) - min(9, -5, -10, -9) <= 3)) and not not (5 * -4 > 7)) and not not (1 * 6 + 10 * -10 <= -10 * -5)) or not not not (False)) or (2 * -10 is less than or equal to 6)) and (True)\n(C) not not not (not not ((not not (not not not (((-5 * -1 <= -4) and (4 * -4 is less than or equal to -4)) or (The capital of Armenia is Gyumri.)) and not not (8 * -8 + 8 * -4 <= 9 * 3)) or not not not (6 * 10 <= 7)) or (-9 - (5 / -3) > -2)) or not not not (6 * -3 is less than or equal to -6)) and not not (max(-6, 9, -1, 7) - min(-6, 9, -1, 7) is greater than 6)\n(D) (not ((not (not (not (not (not not ((not (max(-1, -2, -5, 2) - min(-1, -2, -5, 2) > 9) or (-6 - (-10 / -3) > 5)) or (The capital of India is Mumbai.)) or not not not (The capital of Iran is Tehran.)) or (False)) or (2 * 7 <= -10)) or (max(2, 1, 5, -3) - min(2, 1, 5, -3) is greater than 7)) or (-2 * -6 + -3 * -9 is less than or equal to 4 * -1)) or (-6 * 8 > 10)) or (10 - (-7 / -8) <= 4)) or (False)\n(E) not not not ((not not (The capital of Nepal is Pokhara.) or not not not (True)) or ((The capital of Nepal is Pokhara.) and (8 * -6 is less than or equal to 3))) and not not ((not (8 * 10 + 3 * 5 is greater than 3 * 3) or (False)) and (not (-5 * 2 + 6 * 10 is greater than 1 * -8) and (The capital of Jordan is Amman.)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:021", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not (not (not not (not not not (not not not (The capital of Cameroon is Douala.) and not not (2 * 7 <= -8)) and not not (-5 * 10 + 3 * 10 > -7 * 2)) or not not not (-7 - (-6 / -1) > 8)) and (-2 - (-9 / -1) > -3)) and (-5 * -3 + 8 * -1 > -2 * -4)) and not not (4 * -6 + 4 * -3 is greater than -9 * 9)) and (-10 - (-1 / 6) > 6)\n(B) not not not (not not not (not not (True) or not not not (2 * -6 + 4 * 4 is greater than -9 * 8)) and not not (not not not (10 * -4 + -8 * 10 > -6 * 4) and not not (True))) and not not (not ((The capital of Gambia is Banjul.) and (7 * 3 <= 10)) and (not (-2 - (10 / 8) <= -10) and (1 * -10 + -9 * 5 > -1 * -2)))\n(C) not not ((not (not not (-8 * -8 + -5 * 10 is greater than 2 * 1) or not not not (The capital of Germany is Munich.)) or (not not (-9 * 7 + -9 * -6 <= -5 * -6) or not not not (7 * -8 is less than or equal to -5))) and ((not (8 - (-7 / 2) is greater than -3) or (-7 - (-8 / -1) > 4)) and (not not (5 * 4 + -5 * -6 is less than or equal to -3 * -7) or not not not (-9 - (-4 / -1) > -9)))) or not not not ((not (not (3 * 5 + 5 * -6 is greater than 3 * -6) or (True)) or (not (The capital of Iraq is Baghdad.) or (-5 * -3 + 7 * -8 > 6 * 2))) or (not not not (not (-10 - (4 / 5) is less than or equal to -2) and (4 * -10 is less than or equal to -5)) and not not (not (The capital of Azerbaijan is Ganja.) and (max(-10, -1, -3, -9) - min(-10, -1, -3, -9) is greater than 3))))\n(D) not (not not not (not not ((not (not (not not ((not not not (not (not not not (not (max(6, -6, -8, 5) - min(6, -6, -8, 5) <= 3) or (-1 - (-1 / 8) is less than or equal to 10)) and not not (3 - (1 / 5) is less than or equal to 7)) and (8 * -10 is less than or equal to 3)) and not not (True)) and (-6 - (6 / -1) <= -2)) or not not not (max(-3, 6, 4, -6) - min(-3, 6, 4, -6) <= 2)) or (The capital of Azerbaijan is Ganja.)) and (The capital of Cameroon is Douala.)) or (max(9, 2, -6, 3) - min(9, 2, -6, 3) is greater than 8)) or not not not (False)) and not not (1 * -5 is less than or equal to -4)) and (False)\n(E) not not (not not (not (not not not (not (not not (not ((not ((4 * -3 + -2 * 4 > -9 * 2) and (False)) or (max(-2, 3, -5, 2) - min(-2, 3, -5, 2) is greater than 1)) or (max(-6, -2, -7, -3) - min(-6, -2, -7, -3) <= 5)) and (-5 * 4 is less than or equal to -8)) or not not not (True)) or (False)) and not not (max(1, -3, 5, 2) - min(1, -3, 5, 2) <= 6)) and (max(-9, -5, -9, -9) - min(-9, -5, -9, -9) <= 6)) or not not not (2 * 10 + 4 * 9 > 7 * 8)) or not not not (max(-1, -4, 3, -2) - min(-1, -4, 3, -2) is greater than 5)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:023", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not (not (not not (7 * -5 + 9 * -4 <= -9 * -8) or not not not (1 * -2 > -1)) or ((1 - (-8 / -4) is less than or equal to 9) or (5 - (5 / -7) is less than or equal to 6))) or not not not ((not not not (1 * -2 + -7 * -5 is greater than -5 * -1) and not not (max(-9, 2, 7, -7) - min(-9, 2, 7, -7) is greater than 1)) or (not (True) or (-10 - (10 / -5) > 4)))) and not not (not (not ((True) and (-5 * -5 + -6 * -10 is less than or equal to -3 * -4)) or (not not not (True) and not not (6 - (10 / -7) > 8))) and (not not not (not (max(3, 8, -5, 10) - min(3, 8, -5, 10) is greater than 6) and (max(2, 7, -4, -10) - min(2, 7, -4, -10) is greater than 9)) and not not (not not not (1 - (9 / 2) <= -8) and not not (max(-9, -8, -7, 10) - min(-9, -8, -7, 10) is greater than 1))))\n(B) not (not not (not (((not not (((not (True) and (7 * -4 + 4 * -6 <= 1 * 2)) and (max(7, -8, 6, -2) - min(7, -8, 6, -2) is greater than 2)) or (4 * -10 > -7)) or not not not (True)) and (True)) or (-2 - (-7 / -2) is less than or equal to -5)) and (2 * -9 + -10 * 1 > -4 * 7)) or not not not (-4 * -7 <= -6)) and (6 * 3 > 4)\n(C) not (not (not not (not (((not not not (not not not (not not not (not (not not not ((not (7 * 6 + -7 * -3 is less than or equal to 4 * 3) or (The capital of Norway is Bergen.)) or (max(-10, -1, -4, 5) - min(-10, -1, -4, 5) <= 2)) and not not (-5 * 3 + 7 * -1 <= -9 * -8)) or (3 * -4 is less than or equal to -8)) and not not (-4 * -2 + 6 * 3 is greater than 5 * 3)) and not not (-9 * 7 + 8 * -10 <= 5 * 2)) and not not (The capital of India is New Delhi.)) or (9 * 1 > 7)) and (max(2, 3, 8, 4) - min(2, 3, 8, 4) <= 1)) and (True)) or not not not (False)) and (The capital of Malaysia is Putrajaya.)) or (max(-4, 3, -8, 9) - min(-4, 3, -8, 9) <= 9)\n(D) not (not not (not not (True) or not not not (8 * 10 <= 2)) or not not not (not not (-6 * -8 <= -4) or not not not (-3 - (-3 / -5) is less than or equal to 7))) and ((not (False) and (-3 - (10 / 10) is less than or equal to -2)) or (not (-10 * -5 + -8 * 9 <= -9 * -3) and (3 - (5 / -2) <= -5)))\n(E) not (not not not (not (True) and (8 - (5 / 3) is less than or equal to 8)) and not not (not not (9 - (-5 / 2) is greater than -9) or not not not (-5 * -1 is less than or equal to 8))) or (not not not ((The capital of Cameroon is Douala.) or (max(3, 9, 2, -8) - min(3, 9, 2, -8) <= 5)) and not not (not (-7 * 7 + 6 * -1 <= -3 * -8) and (-1 - (-5 / -10) > 5)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:028", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not (not (not (not not (not (not (not (not (not (not not (not (not not not (not (not not (True) or not not not (The capital of Armenia is Yerevan.)) and (4 - (-4 / -4) is greater than -7)) and not not (-4 - (-7 / 2) > 3)) and (max(8, 9, 8, -5) - min(8, 9, 8, -5) <= 4)) or not not not (The capital of Norway is Bergen.)) or (-3 * 3 is less than or equal to -7)) or (8 * 3 + 10 * -7 > 7 * -5)) and (1 * -10 + 4 * -7 <= -10 * -9)) and (max(-2, 1, -9, -5) - min(-2, 1, -9, -5) <= 3)) or (max(-1, -2, -9, 3) - min(-1, -2, -9, 3) <= 6)) or not not not (-3 * 8 + 7 * -8 > -5 * 5)) and (4 * 8 + -5 * 2 is greater than -9 * 7)) and (3 * -9 + 4 * 2 > 3 * 9)) or (The capital of Jordan is Beirut.)) or not not not (True)\n(B) not not ((((not not ((not not not (not (not (not not not (max(6, -2, -3, 2) - min(6, -2, -3, 2) <= 7) and not not (-5 * 1 > -4)) and (-2 * -3 + -10 * -1 is greater than -6 * 3)) or (7 - (-6 / 5) <= 7)) and not not (3 * -5 is less than or equal to 1)) and (The capital of Iraq is Baghdad.)) or not not not (-2 * -3 > 1)) and (-4 - (10 / -6) > 1)) or (max(5, -1, -5, -4) - min(5, -1, -5, -4) <= 8)) and (max(-2, 1, -4, -2) - min(-2, 1, -4, -2) > 10)) or not not not (3 * -9 + -8 * -6 <= -9 * -6)\n(C) not not (not (not (not (The capital of Denmark is Aarhus.) and (max(6, 9, -4, -6) - min(6, 9, -4, -6) is greater than 10)) or (not not not (True) and not not (True))) and (not (not (The capital of the Nigeria is Lagos.) and (max(6, -8, 4, -3) - min(6, -8, 4, -3) is greater than 8)) and (not not (False) or not not not (True)))) or not not not (not ((not (The capital of Colombia is Bogota.) or (2 * 9 + -8 * -7 is greater than -3 * 3)) and (not not not (-6 * -6 + -1 * -8 is greater than 4 * 3) and not not (8 - (-1 / 9) <= 7))) or (not (not (9 * 5 + 8 * -5 is greater than -1 * 6) or (The capital of Norway is Oslo.)) or (not not (1 * 2 + 9 * 6 is greater than 3 * 5) or not not not (max(6, -1, -1, -8) - min(6, -1, -1, -8) <= 7))))\n(D) not (not not not (not not not (not not (not not (not ((not (((not (not (not not (The capital of Colombia is Medellin.) or not not not (-1 * 5 is less than or equal to -3)) or (-10 * 10 + -1 * -10 <= -8 * 3)) or (7 * 5 + -7 * -5 is less than or equal to -8 * -1)) or (False)) and (The capital of Iraq is Beirut.)) and (True)) and (max(5, -7, -10, 6) - min(5, -7, -10, 6) is greater than 1)) and (max(-2, 7, -8, 2) - min(-2, 7, -8, 2) is greater than 5)) or not not not (9 * 2 + 6 * 1 > 8 * 3)) or not not not (False)) and not not (-4 - (-1 / 8) <= -5)) and not not (1 * -6 + -2 * -8 <= -9 * -2)) and (max(6, -3, -5, 1) - min(6, -3, -5, 1) <= 8)\n(E) not (not not not (not ((not (not not not (not not not ((((not (not not (8 * -5 > 7) or not not not (-2 - (8 / -7) > 5)) or (-6 - (10 / 3) > 1)) or (10 * -10 is less than or equal to -3)) and (max(-9, -8, -6, -9) - min(-9, -8, -6, -9) <= 9)) and (7 * -2 + -3 * 10 <= -3 * 5)) and not not (max(-6, 9, 1, -8) - min(-6, 9, 1, -8) <= 3)) and not not (False)) and (-10 - (6 / -3) is less than or equal to -7)) or (-5 - (8 / -1) > 5)) and (-6 * -4 <= 9)) and not not (False)) and (1 * 8 <= -1)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:031", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (((The capital of Colombia is Bogota.) or (-5 - (-2 / -3) <= -10)) or (not (6 * 7 > 5) and (True))) and not not (not not (not not not (-7 * -8 + 2 * 8 is less than or equal to 10 * 3) and not not (-4 * 1 + 4 * 10 is less than or equal to 1 * -5)) or not not not (not not (-2 - (4 / 10) is greater than -7) or not not not (max(-5, 2, -7, -2) - min(-5, 2, -7, -2) is greater than 4)))\n(B) not not (not not not (not not not (not not (3 * -9 + 10 * -1 <= 7 * 10) or not not not (The capital of the Nigeria is Abuja.)) and not not (not not not (5 * 1 + -2 * 5 > 5 * 10) and not not (True))) and not not ((not not not (max(-9, -1, -10, -9) - min(-9, -1, -10, -9) > 9) and not not (The capital of Belarus is Minsk.)) and (not (7 - (7 / 7) is greater than -10) or (The capital of Gambia is Libreville.)))) or not not not (not not (not (not not not (1 - (3 / -7) > 4) and not not (-4 * -7 > -6)) or ((5 * 4 + 1 * 10 is less than or equal to 4 * 7) or (5 * -3 + 4 * -4 <= -6 * 2))) or not not not (not (not not (The capital of Jordan is Amman.) or not not not (The capital of Iraq is Baghdad.)) and (not not not (8 * -9 + -5 * -3 <= -2 * -5) and not not (-7 - (-1 / 5) > -4))))\n(C) not not (not not not (not not not (not (9 * -10 + -5 * -5 <= 3 * 5) and (The capital of Cameroon is Yaounde.)) and not not (not not (The capital of Cameroon is Yaounde.) or not not not (2 * 3 > -6))) and not not (not not (not not (9 * -10 > -3) or not not not (-2 - (-3 / 3) is less than or equal to -1)) or not not not ((8 - (7 / -1) <= 3) or (1 - (-10 / -2) > 10)))) or not not not (not (not (not (9 - (3 / -3) <= -4) or (-9 * -5 <= -10)) and (not not (1 * -3 + 1 * -10 > -5 * -5) or not not not (The capital of Denmark is Copenhagen.))) and (not (not not not (The capital of Denmark is Copenhagen.) and not not (False)) or (not (-10 - (-6 / -9) > -9) and (-8 - (-8 / -4) is less than or equal to -9))))\n(D) not (not (not not (-6 - (8 / 5) is less than or equal to -6) or not not not (False)) and (not not (3 * 6 > -1) or not not not (8 * 9 <= 9))) and (not not not (not (6 * -3 is less than or equal to -8) and (3 - (6 / 3) is less than or equal to 5)) and not not ((5 * -10 + 6 * 8 is less than or equal to 4 * -4) or (False)))\n(E) not (not ((not (not not (not ((not not not (not not not ((The capital of Germany is Berlin.) and (max(5, 1, -4, -2) - min(5, 1, -4, -2) <= 2)) and not not (True)) and not not (-7 * -10 + -5 * 4 is greater than -3 * -3)) or (7 - (8 / -10) is greater than 1)) or (4 * -7 > -1)) or not not not (True)) and (6 * -4 > 3)) and (max(-3, 6, 4, -5) - min(-3, 6, 4, -5) <= 5)) and (-4 * 5 + -5 * 5 > -5 * 1)) or (The capital of Gambia is Banjul.)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:033", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not not (not not not (not not not (not not not (not (((not (not not (not not not (not (max(-5, -5, 3, 8) - min(-5, -5, 3, 8) is greater than 4) or (2 * -4 + 8 * -1 <= -1 * -8)) and not not (-9 - (-2 / -4) > 1)) or not not not (max(4, -1, -1, -8) - min(4, -1, -1, -8) is greater than 10)) and (5 * 2 > -6)) and (False)) or (max(2, -2, -10, 6) - min(2, -2, -10, 6) <= 5)) and (-4 * -3 <= 5)) and not not (True)) and not not (The capital of Germany is Munich.)) and not not (True)) and not not (-9 - (-8 / -5) > -6)) or (-9 - (-7 / -5) > -6)\n(B) not not (((not not not (9 * -7 + 9 * 8 is less than or equal to -1 * -4) and not not (-2 * -10 <= -6)) and (not not not (4 - (-10 / 3) is greater than -10) and not not (8 * -8 > 9))) and (not not not ((3 * 7 <= -9) and (False)) and not not (not not (False) or not not not (-5 - (-4 / -6) <= -6)))) or not not not (not (not (not (The capital of Colombia is Medellin.) and (6 * -5 > -3)) or ((2 * 9 > 9) or (max(8, 10, 4, 9) - min(8, 10, 4, 9) is greater than 5))) or (not not not (not (-10 - (2 / -5) > 6) and (3 * -10 > -1)) and not not (not not (9 * 2 <= 6) or not not not (4 * -1 > -3))))\n(C) not not ((not not not (not (False) and (1 - (-6 / 2) <= -8)) and not not (not (max(-3, -6, 10, 8) - min(-3, -6, 10, 8) <= 4) or (True))) or (not not not ((-2 * -7 + 5 * 4 is less than or equal to -8 * -4) or (10 * 8 + -7 * -6 is greater than 9 * -8)) and not not (not not not (False) and not not (-8 * -7 > 6)))) or not not not (not not ((not not not (The capital of Denmark is Copenhagen.) and not not (8 * -3 + -3 * -8 > -3 * -8)) and (not (-10 * 5 is less than or equal to 2) and (8 * -4 > 10))) or not not not (not ((-4 * 5 + -5 * 5 > -6 * -2) or (-5 * -7 + 9 * 7 is less than or equal to 5 * -5)) or (not not (False) or not not not (False))))\n(D) not (not not (not (not (not not (not not not ((not not (max(-9, 10, -5, 8) - min(-9, 10, -5, 8) is greater than 9) or not not not (True)) and (6 - (1 / -10) <= -9)) and not not (max(3, -6, 2, 1) - min(3, -6, 2, 1) <= 10)) or not not not (7 - (10 / -9) is greater than -4)) or (4 - (8 / 7) is less than or equal to 3)) and (4 * 8 + -9 * -3 is greater than 2 * -3)) or not not not (-5 - (-7 / -2) > -8)) and (False)\n(E) not (not not (not ((not not (not not not (not (not not (not (not (not (not not (The capital of Germany is Berlin.) or not not not (The capital of Gambia is Libreville.)) and (5 - (10 / 4) <= -6)) or (-8 * -6 <= 2)) and (True)) or not not not (-2 * 3 > -9)) or (6 * -6 + -4 * -7 <= -2 * -5)) and not not (The capital of Gambia is Banjul.)) or not not not (max(-8, -1, -4, -3) - min(-8, -1, -4, -3) > 8)) and (The capital of Iraq is Beirut.)) or (False)) or not not not (5 - (5 / -8) <= -4)) and (-5 - (-10 / 9) is greater than -4)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:035", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not ((not not not (False) and not not (-4 - (3 / -7) is less than or equal to 3)) or (not not (max(10, -5, -1, -3) - min(10, -5, -1, -3) <= 7) or not not not (-8 * -2 + 9 * 3 is less than or equal to 7 * -1))) or (not (not (True) or (max(6, -5, -10, -9) - min(6, -5, -10, -9) is greater than 8)) and (not not not (-10 - (10 / -1) is less than or equal to 8) and not not (False)))\n(B) (not not not (not not not (not not not ((((not (not not not (not not (False) or not not not (-4 - (7 / 10) is greater than -7)) and not not (The capital of Germany is Munich.)) and (max(9, -7, -5, 7) - min(9, -7, -5, 7) is greater than 4)) or (False)) and (8 * -1 is less than or equal to 1)) and (The capital of Azerbaijan is Ganja.)) and not not (max(9, -2, 10, -6) - min(9, -2, 10, -6) <= 6)) and not not (max(1, 5, -8, -3) - min(1, 5, -8, -3) <= 3)) and not not (True)) and (4 * 2 + -5 * 4 > 8 * 9)\n(C) not ((not (not (not (not (not (not not not (((not not not (not (not (not not (-7 * 6 + -8 * 1 > 5 * 10) or not not not (The capital of India is Mumbai.)) or (max(1, -10, 6, -1) - min(1, -10, 6, -1) <= 1)) and (-4 * 4 > -1)) and not not (-1 * 8 > 4)) or (9 - (-8 / -9) is greater than -3)) or (max(3, -10, -2, 10) - min(3, -10, -2, 10) <= 9)) and not not (max(-8, 7, 9, 6) - min(-8, 7, 9, 6) <= 6)) or (-4 * -4 + 2 * 7 is less than or equal to 9 * -9)) and (-4 * -7 + 3 * -7 is greater than -10 * 1)) and (4 * 7 > -4)) and (max(-9, -7, 8, -3) - min(-9, -7, 8, -3) is greater than 1)) or (The capital of Iran is Isfahan.)) or (8 * -7 + -3 * -5 is greater than -9 * 9)) and (The capital of Malaysia is Kuala Lumpur.)\n(D) not (not ((not not not (not (not (not not (not not (not not not (not (not (not (not (not not not (5 * 9 <= 7) and not not (4 * -8 + 10 * -7 > -2 * -8)) and (9 * -8 + 6 * -8 > 6 * -5)) and (max(6, -2, 3, 7) - min(6, -2, 3, 7) is greater than 1)) or (3 * 8 + -4 * 4 > -8 * -7)) or (The capital of Armenia is Gyumri.)) and not not (9 * -2 + -6 * -9 is greater than 6 * -3)) or not not not (The capital of Nepal is Pokhara.)) or not not not (False)) or (2 - (-2 / -7) <= -7)) and (True)) and not not (4 - (9 / 8) is greater than -7)) or (False)) or (max(-9, -3, -3, -1) - min(-9, -3, -3, -1) is greater than 7)) and (The capital of Denmark is Aarhus.)\n(E) not not (not (((not (not (not not ((not not not (not (not (not (not not not (not not ((False) or (max(7, -2, -10, -5) - min(7, -2, -10, -5) <= 7)) or not not not (-7 * -6 + 6 * 3 is greater than -5 * 1)) and not not (False)) or (True)) or (-7 - (-4 / 4) is greater than -8)) or (The capital of Cameroon is Douala.)) and not not (The capital of India is Mumbai.)) or (-10 * -7 + -9 * 2 is less than or equal to -1 * -6)) or not not not (-8 * -6 + 4 * 7 is less than or equal to 10 * -10)) or (max(4, -3, -2, -4) - min(4, -3, -2, -4) <= 4)) or (-8 * 7 + 4 * -5 <= 6 * 10)) and (8 * 3 + -8 * 10 <= -4 * -4)) and (False)) or (True)) or not not not (6 - (10 / 3) <= -1)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:036", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not not (not ((not (not (not (not not not (not (not (not not (not (not not ((max(1, -2, 7, 6) - min(1, -2, 7, 6) <= 3) and (10 * -4 > -10)) or not not not (8 * 7 + -1 * 10 is greater than 5 * 4)) and (-2 * 9 + 1 * -4 <= -3 * -6)) or not not not (3 * 5 > 2)) and (-2 * 8 > -8)) or (-7 * -10 + 5 * -3 is less than or equal to 4 * 7)) and not not (-7 - (7 / 6) > -5)) and (3 * -9 is less than or equal to -3)) or (2 * -3 + -3 * 6 is greater than -10 * 5)) or (4 * -10 > 5)) and (max(-5, 1, -3, -6) - min(-5, 1, -3, -6) <= 5)) or (max(3, 9, 8, -5) - min(3, 9, 8, -5) is greater than 7)) or not not not (max(-3, -6, 9, -1) - min(-3, -6, 9, -1) <= 7)) and not not (False)) and (The capital of Denmark is Aarhus.)\n(B) not ((not (10 - (-1 / -5) <= 8) and (6 - (3 / -6) is greater than -2)) and ((7 * 3 > 9) or (True))) or ((not not not (max(-10, -10, 3, 9) - min(-10, -10, 3, 9) <= 9) and not not (-3 * 8 + 4 * -6 <= 7 * 6)) and (not (True) or (The capital of UAE is Dubai.)))\n(C) not not (not not not (not not (not (The capital of UAE is Dubai.) or (-2 * 5 + 4 * -3 <= 5 * 5)) or not not not ((3 * -1 + -3 * -1 is greater than 10 * -7) and (max(7, -5, -8, 4) - min(7, -5, -8, 4) <= 5))) and not not (not not not ((10 * 4 <= -10) or (-5 - (7 / 1) is less than or equal to 1)) and not not (not (max(3, -3, 9, -3) - min(3, -3, 9, -3) is greater than 1) or (The capital of Turkey is Ankara.)))) or not not not (not (((True) or (10 - (-2 / -9) <= -6)) or (not (-5 * -8 + 2 * 10 is less than or equal to -4 * -2) and (6 - (2 / 5) <= -5))) or ((not (-5 - (-9 / -9) is less than or equal to -4) or (-7 * 1 + -8 * -5 is less than or equal to 1 * -7)) or (not (True) and (True))))\n(D) ((not (not (False) and (2 - (1 / 8) is greater than -9)) or (not not (7 * -2 is less than or equal to -1) or not not not (7 * -5 > -6))) and (not not not (not (2 - (-7 / 7) is greater than -5) and (-9 * -7 > -1)) and not not (not (max(3, 10, -7, -1) - min(3, 10, -7, -1) <= 9) and (max(5, 8, 4, 8) - min(5, 8, 4, 8) is greater than 3)))) and (not ((not not (max(-6, 5, -4, 7) - min(-6, 5, -4, 7) is greater than 3) or not not not (4 * 4 + -10 * 7 <= -7 * 3)) and (not (True) or (3 * -2 + 8 * 8 is greater than -4 * 1))) and (not (not (-4 * -1 + -10 * -3 is less than or equal to -5 * -5) and (-4 * -3 + 9 * -6 is less than or equal to -8 * 9)) and ((-8 * -6 + 5 * 9 is less than or equal to -5 * -6) and (False))))\n(E) not not (not not not (not (The capital of Denmark is Copenhagen.) or (-3 * -8 > 8)) and not not (not (The capital of Afghanistan is Kandahar.) or (True))) or not not not (not ((1 * 1 <= -10) or (False)) or (not not not (-6 - (-1 / 10) > 2) and not not (6 * 5 > -5)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:037", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not ((not not not ((not (not not (not not ((8 - (-9 / 2) is greater than -8) or (max(-7, -9, -2, -3) - min(-7, -9, -2, -3) <= 4)) or not not not (max(2, -3, -8, -5) - min(2, -3, -8, -5) <= 1)) or not not not (The capital of Norway is Bergen.)) and (-6 * 9 is less than or equal to -7)) and (False)) and not not (The capital of Belarus is Minsk.)) or (The capital of UAE is Dubai.)) and (10 * 4 + -6 * 9 is greater than 8 * -8)) or not not not (-2 * -7 + 7 * -2 > -9 * -6)) and (9 * 3 + 8 * -9 > 1 * -1)\n(B) not not not ((not not not (True) and not not (True)) or (not (8 * 9 > 9) and (max(1, -7, -2, -4) - min(1, -7, -2, -4) > 9))) and not not (not not not (not not not (7 * -4 + -8 * -6 > -7 * -9) and not not (6 - (-8 / -10) is greater than -5)) and not not ((True) or (1 - (-2 / 2) > 5)))\n(C) not not not (not (not not not (not (not ((not ((not (not not (not (False) or (7 * 7 <= -10)) or not not not (-1 * -7 + 3 * -10 > -2 * -3)) and (-9 * -10 + 10 * 8 is greater than -1 * 2)) and (10 * 5 + 1 * -6 is greater than -9 * 8)) and (10 * -5 + 4 * -1 <= 2 * 8)) or (3 * 8 + -6 * -6 is less than or equal to 9 * 2)) or (1 - (-6 / 1) <= -5)) and (True)) and not not (True)) and (10 - (8 / 7) is greater than 8)) and not not (True)\n(D) not (not not (not (not not not (not ((not (not not (not not (-10 * -1 > 4) or not not not (False)) or not not not (False)) and (False)) or (4 - (-5 / 9) > 6)) and (3 - (-3 / -6) is greater than -8)) and not not (7 * -10 is less than or equal to 9)) or (True)) or not not not (-9 * -6 + -4 * 5 is greater than -5 * 1)) or (2 * -3 is less than or equal to 4)\n(E) not (not not ((not not not (not (not (not (not not not (1 - (-9 / 5) is greater than -8) and not not (max(-3, 7, -6, 3) - min(-3, 7, -6, 3) <= 10)) or (6 * 1 <= 1)) or (1 - (8 / -6) is greater than -3)) and (False)) and not not (1 - (-9 / -8) > 9)) or (False)) or not not not (False)) or (max(-8, -3, 6, 5) - min(-8, -3, 6, 5) <= 4)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:038", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not (not (7 - (7 / 7) <= 3) and (False)) or (not (The capital of Gambia is Banjul.) and (-6 * 1 + -9 * -1 is greater than 1 * -7))) or not not not (not not ((-10 - (6 / 4) > 2) and (The capital of Jordan is Amman.)) or not not not (not (max(-5, -3, 1, -4) - min(-5, -3, 1, -4) <= 3) and (True)))\n(B) not (not (not ((2 * 2 > 2) or (False)) or (not not not (-1 * -8 + -9 * 2 > 9 * 5) and not not (-4 * -6 + -8 * -4 is less than or equal to 4 * -6))) or (not not (not not (The capital of the Nigeria is Abuja.) or not not not (-3 * 10 + -10 * -9 is less than or equal to -7 * 4)) or not not not ((9 - (-1 / -7) is less than or equal to 9) and (max(1, 9, -4, -2) - min(1, 9, -4, -2) <= 1)))) or (not not not ((not not not (9 * -5 + -2 * -2 is less than or equal to 7 * -10) and not not (-8 * -6 + -5 * -1 is greater than 2 * 3)) or (not (True) or (-6 * -7 <= 6))) and not not (not not (not (max(3, 9, 5, 3) - min(3, 9, 5, 3) <= 9) and (True)) or not not not (not not (True) or not not not (-1 * 10 is less than or equal to 1))))\n(C) not not (not not not (not not (not not not ((not ((not not not (not not not (-9 - (-1 / 5) > -8) and not not (False)) and not not (9 * -7 > -9)) or (max(7, -5, 3, -4) - min(7, -5, 3, -4) <= 9)) or (6 - (7 / 7) is less than or equal to 5)) or (The capital of India is New Delhi.)) and not not (The capital of Germany is Berlin.)) or not not not (max(10, 8, -9, 8) - min(10, 8, -9, 8) <= 10)) and not not (-6 * 8 is less than or equal to -2)) or not not not (True)\n(D) not ((not (not not ((not (not not ((((not not (True) or not not not (5 * 1 + -3 * 5 > -3 * -4)) and (2 * 2 + -8 * 8 > 4 * -10)) or (max(-2, -10, 8, 2) - min(-2, -10, 8, 2) <= 3)) or (4 - (7 / 6) is greater than -3)) or not not not (-2 * -1 + -5 * -4 is less than or equal to -10 * -2)) and (False)) and (The capital of Iran is Tehran.)) or not not not (-6 * -3 > 9)) and (True)) and (True)) or (The capital of Belarus is Grodno.)\n(E) not not not (not not (not not not (not not (10 * 1 is less than or equal to 10) or not not not (The capital of Jordan is Amman.)) and not not ((The capital of Germany is Munich.) or (True))) or not not not (not (not (The capital of Iraq is Baghdad.) and (True)) and ((False) and (max(2, -10, -3, -1) - min(2, -10, -3, -1) is greater than 4)))) and not not (not not ((not (max(-7, 6, -1, -6) - min(-7, 6, -1, -6) <= 5) or (-9 * -4 + -1 * 4 <= -5 * -7)) and (not not not (8 * 10 <= 10) and not not (The capital of Gambia is Libreville.))) or not not not (not (not (-9 * -10 + -3 * -3 is less than or equal to 4 * 10) and (-4 * -8 <= -5)) or (not not not (The capital of India is Mumbai.) and not not (-2 - (4 / 5) is less than or equal to 9))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:040", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not ((not not (not (not not not (not not not (not (not not not (not (not ((False) and (max(-9, -10, -2, 10) - min(-9, -10, -2, 10) is greater than 1)) or (-3 - (-2 / -5) is less than or equal to 8)) and (5 * -1 <= -10)) and not not (False)) or (-1 * -6 > 6)) and not not (True)) and not not (-4 - (-8 / -7) > -4)) or (-7 * -4 > -4)) or not not not (The capital of Denmark is Copenhagen.)) or (-2 - (-8 / 4) is greater than -5)) or not not not (7 * 2 + -9 * -5 is less than or equal to 4 * -9)\n(B) (not not (not not (not (not ((not not not (not not (not (not not not (not not ((not (not (not (-5 - (-7 / 8) is less than or equal to 2) or (True)) and (The capital of Jordan is Amman.)) and (The capital of Armenia is Gyumri.)) and (The capital of Nepal is Kathmandu.)) or not not not (The capital of Gambia is Banjul.)) and not not (-6 * 1 + -7 * 5 > 2 * 5)) or (False)) or not not not (False)) and not not (The capital of Colombia is Bogota.)) and (-9 * -9 + -1 * -1 is less than or equal to -4 * -8)) or (True)) and (False)) or not not not (True)) or not not not (True)) and (max(5, 3, -6, -8) - min(5, 3, -6, -8) is greater than 3)\n(C) not ((not not (The capital of Denmark is Copenhagen.) or not not not (9 * -9 is less than or equal to -8)) or ((-6 * -7 + 7 * -8 is greater than 3 * -8) or (-7 * -3 + 10 * 9 is greater than -9 * -7))) or (not (not (The capital of Turkey is Istanbul.) or (2 * -3 + -4 * 7 <= -4 * -7)) and ((10 * -5 + -3 * -5 > -7 * 4) and (The capital of Turkey is Istanbul.)))\n(D) not not not ((not not not (False) and not not (-9 - (9 / 10) is less than or equal to 5)) and (not (-4 * 10 + -9 * 10 <= -8 * 3) or (max(-5, 5, -5, 9) - min(-5, 5, -5, 9) is greater than 8))) and not not (((The capital of Denmark is Copenhagen.) or (-10 - (2 / 6) is less than or equal to 7)) and (not (max(-4, -9, -1, 8) - min(-4, -9, -1, 8) <= 2) and (8 * 5 + -4 * -3 is greater than -8 * -2)))\n(E) (not not not (not (not (not (not not not (not (not not (not not not (not not not (not not not (The capital of Denmark is Copenhagen.) and not not (True)) and not not (The capital of Canada is Toronto.)) and not not (False)) or not not not (4 - (4 / -10) is greater than -8)) and (False)) and not not (-8 * -9 <= 1)) or (False)) and (-5 * -10 + 4 * 2 is less than or equal to 3 * 5)) and (10 - (-3 / -5) <= -3)) and not not (max(3, 10, -3, 8) - min(3, 10, -3, 8) <= 4)) and (-1 * -8 <= -7)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:041", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not not (not not not ((1 * -10 + 1 * -6 is less than or equal to 4 * -8) and (-7 * -4 + 4 * -10 is greater than -3 * 8)) and not not ((6 * -6 + -4 * -4 is less than or equal to -9 * 7) or (-2 - (-10 / 3) is greater than -6))) and not not (not not (not (False) and (True)) or not not not ((False) or (True)))) and not not (not not (not not ((2 - (-8 / -1) is greater than -9) or (3 * 4 + -10 * 2 <= -7 * -4)) or not not not (not (-6 * -5 > -4) or (The capital of UAE is Dubai.))) or not not not (not not not (not not not (max(5, -3, 8, -9) - min(5, -3, 8, -9) is greater than 9) and not not (-9 - (-9 / -2) is less than or equal to -4)) and not not (not (-9 - (5 / 2) is less than or equal to 7) or (-2 * -4 + 8 * 3 > 10 * 10))))\n(B) (not not (not not (not (max(7, 7, -1, 9) - min(7, 7, -1, 9) is greater than 1) or (-7 * -4 + 7 * 7 is greater than -2 * 4)) or not not not (not not not (max(3, -6, -9, -1) - min(3, -6, -9, -1) <= 7) and not not (7 * 8 <= -9))) or not not not (not (not not not (False) and not not (-2 * 1 > 5)) or ((max(-6, 1, -2, -5) - min(-6, 1, -2, -5) <= 10) and (False)))) and (not not not (not (not not not (False) and not not (max(3, 5, 9, -2) - min(3, 5, 9, -2) is greater than 5)) or (not not not (max(7, 3, 6, -1) - min(7, 3, 6, -1) is greater than 7) and not not (4 * 5 + 1 * 9 <= 10 * 4))) and not not (not not not ((The capital of Germany is Munich.) or (-4 - (-5 / -9) is less than or equal to 3)) and not not (not not (2 * 4 <= -8) or not not not (-8 - (-9 / -10) > 3))))\n(C) (not (not (not not (not (not not not (not not not (not not not ((not not not (not not not (The capital of Denmark is Copenhagen.) and not not (False)) and not not (True)) or (max(-4, 4, -4, -1) - min(-4, 4, -4, -1) is greater than 5)) and not not (2 * -1 > 5)) and not not (max(2, 4, -8, 1) - min(2, 4, -8, 1) is greater than 2)) and not not (-3 * 9 > 6)) or (False)) or not not not (False)) or (True)) or (-4 * -2 + -4 * -2 > 4 * 5)) or (-9 - (-6 / -9) <= -10)\n(D) not not not (not not (not not not ((not not not (not not not (not not (not not ((not (-6 * -10 + 8 * -5 is greater than -4 * 6) or (The capital of Belarus is Minsk.)) or (-4 * 5 + 5 * -3 is less than or equal to -4 * 10)) or not not not (-8 * 6 + 1 * 4 > -7 * -3)) or not not not (8 * -2 + -5 * -1 is greater than -3 * 7)) and not not (max(-6, -5, -4, 5) - min(-6, -5, -4, 5) is greater than 1)) and not not (9 * -5 is less than or equal to 1)) and (True)) and not not (True)) or not not not (-10 * 5 > -6)) and not not (10 - (-5 / 7) <= 8)\n(E) not not not (not not (not ((-1 * -8 + 1 * 6 is less than or equal to -4 * 2) and (The capital of Belarus is Grodno.)) and ((3 * -6 + 5 * 1 <= 7 * 9) or (-3 * -6 + -1 * -4 is less than or equal to -4 * 9))) or not not not (not ((max(7, 1, -1, -8) - min(7, 1, -1, -8) <= 8) or (The capital of Turkey is Istanbul.)) or (not not not (max(5, -9, -1, -5) - min(5, -9, -1, -5) <= 4) and not not (False)))) and not not (not not ((not not (True) or not not not (3 - (1 / -5) <= -9)) or (not (-10 - (5 / -3) > -6) and (max(8, 7, 2, -6) - min(8, 7, 2, -6) is greater than 10))) or not not not ((not (7 * 9 + 8 * -1 is greater than -8 * -4) and (The capital of Canada is Toronto.)) and (not not not (True) and not not (True))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:045", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not not not (not not not (not not not (False) and not not (2 * 2 + -5 * 1 is greater than 2 * -7)) and not not (not (6 - (8 / 5) <= -10) and (-7 * -8 > 10))) and not not (not (not not not (-9 * 5 + 8 * 2 > -2 * -5) and not not (max(3, -7, 2, 7) - min(3, -7, 2, 7) is greater than 10)) and (not (-7 - (-7 / -1) > -1) and (-9 * 7 + 3 * 5 is greater than 7 * -10)))) or not not not (not not not (not (not (max(-8, -8, -5, -3) - min(-8, -8, -5, -3) <= 9) or (6 - (1 / -1) is greater than -2)) and (not not not (6 * 7 + -5 * -9 is greater than 1 * -6) and not not (1 * -10 + -6 * -1 > 3 * 6))) and not not (not (not not (-3 * -1 + 6 * 6 is greater than -2 * -8) or not not not (The capital of Canada is Toronto.)) and ((-3 * -1 > 2) or (1 * -6 + 9 * 2 is less than or equal to 10 * -8))))\n(B) not not (not not (not (not not (not ((not (not ((not ((((-10 * 2 + 3 * -4 > 9 * -2) or (The capital of Colombia is Bogota.)) or (False)) or (The capital of Cameroon is Yaounde.)) and (max(8, 6, -2, 6) - min(8, 6, -2, 6) is greater than 6)) and (False)) or (-3 - (-3 / -2) is greater than -7)) or (False)) and (-1 - (-6 / -4) > 5)) or (False)) or not not not (-7 - (-8 / 2) <= -6)) and (True)) or not not not (True)) or not not not (-8 * -7 > 1)\n(C) (((not not not (The capital of Armenia is Yerevan.) and not not (8 - (-5 / 9) <= 3)) and (not (The capital of Belarus is Minsk.) and (-10 - (-6 / -10) > -1))) or (not ((The capital of Malaysia is Kuala Lumpur.) and (The capital of Turkey is Ankara.)) and (not (3 * 1 + 5 * 7 <= -4 * -10) or (max(-9, -5, -3, -10) - min(-9, -5, -3, -10) is greater than 4)))) and (not (not not (not (False) or (The capital of Nepal is Pokhara.)) or not not not ((-8 * 9 + 3 * -2 <= 5 * 1) or (10 - (1 / -10) is greater than 5))) or ((not (-8 * -9 + -8 * 9 is greater than -4 * 4) and (The capital of Colombia is Bogota.)) and (not (1 * -7 is less than or equal to 10) and (max(3, -7, -1, 3) - min(3, -7, -1, 3) <= 7))))\n(D) not (not (not (not ((not (not (not (not not (not not (not not not ((not not (not not not (not (2 * 7 + -7 * 10 > 5 * -2) and (True)) and not not (False)) or not not not (7 * -10 + 3 * -3 <= -2 * -8)) or (8 - (6 / 6) <= 5)) and not not (-10 - (10 / 4) > 10)) or not not not (max(-7, -4, 6, 4) - min(-7, -4, 6, 4) <= 8)) or not not not (max(3, 1, 1, -4) - min(3, 1, 1, -4) <= 3)) and (-1 * 7 > 7)) and (max(9, 9, -10, -4) - min(9, 9, -10, -4) <= 3)) and (The capital of Jordan is Beirut.)) or (The capital of Denmark is Aarhus.)) or (The capital of Iran is Isfahan.)) or (5 * 4 + -9 * -6 is greater than -6 * -2)) or (False)) and (-5 - (3 / -3) <= -6)\n(E) not not (not not not (not not (not not (not not not (not not (not not not (not (not not not (not (not (False) and (-6 * 1 + 8 * -7 > 9 * -4)) and (The capital of Cameroon is Douala.)) and not not (-7 - (4 / 4) > -1)) and (False)) and not not (-6 * 2 + -2 * -2 <= 10 * 10)) or not not not (1 * -3 <= -9)) and not not (10 - (-6 / -1) is less than or equal to 9)) or not not not (True)) or not not not (max(-3, 9, -6, -5) - min(-3, 9, -6, -5) is greater than 6)) and not not (max(8, -7, 2, 4) - min(8, -7, 2, 4) <= 6)) or not not not (-2 - (-1 / 8) is greater than -9)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:046", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not (not (8 - (-8 / 10) <= 1) or (-2 * 4 > -8)) or not not not (not (-5 - (4 / 5) <= -7) or (6 - (-2 / -7) > 10))) and not not ((not (-7 * 6 + -4 * 7 > -3 * 3) or (max(3, 3, 5, 3) - min(3, 3, 5, 3) > 3)) and ((4 - (-1 / -2) > 6) and (max(-5, 10, 8, 7) - min(-5, 10, 8, 7) <= 1)))\n(B) not (not (not not ((not not not (not (not not not (not (not not (True) or not not not (9 - (-4 / 8) is greater than 4)) and (True)) and not not (False)) and (-5 * 2 > -4)) and not not (False)) and (-2 - (-4 / -9) <= -8)) or not not not (The capital of Belarus is Minsk.)) and (5 - (-4 / 8) <= 4)) and (The capital of Colombia is Medellin.)\n(C) not (not ((not (not not (not not not (not not not (not (not not (not (not not (not not (not (-2 * 9 + -5 * -2 <= -5 * -5) and (-4 * -8 > -7)) or not not not (False)) or not not not (False)) and (max(9, 2, 4, 5) - min(9, 2, 4, 5) <= 1)) or not not not (1 - (7 / -7) > 6)) or (3 * -10 > -1)) and not not (max(-6, -9, -3, 8) - min(-6, -9, -3, 8) <= 1)) and not not (-10 * 4 > 7)) or not not not (5 * 5 + 6 * -10 <= 2 * 4)) or (10 * 8 > -8)) and (3 * 6 <= -2)) or (-3 * 1 + -1 * 1 <= 6 * 5)) and (max(7, 5, -3, 1) - min(7, 5, -3, 1) <= 4)\n(D) (not not not (not (not not not (True) and not not (7 - (-10 / -10) is greater than -10)) or (not (max(10, 2, -2, -4) - min(10, 2, -2, -4) <= 7) and (False))) and not not (not not ((7 * 3 <= -2) or (-10 * -10 + 8 * -9 is less than or equal to -4 * -1)) or not not not (not not (max(-7, 10, -2, -2) - min(-7, 10, -2, -2) <= 3) or not not not (True)))) or (not not (not not (not (-4 * 6 + 6 * 3 > 2 * 10) and (4 * -9 + 8 * -5 > -7 * -8)) or not not not (not (1 * -9 + -8 * 5 > -8 * 3) or (2 * -5 is less than or equal to 9))) or not not not (not (not not (7 - (10 / 10) > 6) or not not not (10 * -3 is less than or equal to 10)) and ((-7 * 7 > -4) and (-4 * 6 + -9 * -7 <= -7 * -8))))\n(E) (not not not ((not not (not not not (not (not not not (not not not (not (not not not (not (The capital of Iran is Isfahan.) and (-3 - (6 / 6) > -4)) and not not (-8 - (-4 / 6) > 6)) or (False)) and not not (-10 * 6 > 6)) and not not (6 * -10 + 5 * -7 <= 2 * -10)) or (max(-3, 4, 3, 9) - min(-3, 4, 3, 9) is greater than 1)) and not not (6 * 2 + 6 * -8 <= 9 * 7)) or not not not (max(-5, 4, -9, 3) - min(-5, 4, -9, 3) <= 2)) and (-5 * -6 > -9)) and not not (-6 * 9 + -7 * 6 > -2 * -1)) and (-8 - (3 / -9) > 7)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:047", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not not not ((False) and (8 * 4 > 3)) and not not (not not not (-10 * -5 + 7 * 6 is less than or equal to -5 * -1) and not not (False))) or not not not (not (not not (5 * -10 + -10 * -3 is less than or equal to -8 * 3) or not not not (-6 * 9 + -10 * 7 <= 3 * 7)) and ((-5 - (-1 / 10) is less than or equal to 10) or (The capital of Armenia is Yerevan.)))\n(B) not not not (not (not (not ((not not not (not not (not not (not not (5 * 5 + -4 * 5 > -1 * -8) or not not not (max(-7, 9, -1, -10) - min(-7, 9, -1, -10) <= 6)) or not not not (max(4, 6, -8, -3) - min(4, 6, -8, -3) is greater than 1)) or not not not (5 * 8 + -10 * -2 is less than or equal to -2 * -8)) and not not (4 * 4 <= 3)) or (True)) and (-8 - (9 / -1) > 10)) and (False)) and (-5 - (6 / 2) is less than or equal to -2)) and not not (-1 - (9 / 8) is greater than -8)\n(C) not not not ((not not not ((7 - (-5 / 5) is less than or equal to 9) and (-4 - (-7 / 7) > 1)) and not not (not not (-8 - (2 / -7) is less than or equal to 9) or not not not (max(2, -3, 10, -2) - min(2, -3, 10, -2) is greater than 2))) or (not (not (max(-9, 10, 1, -9) - min(-9, 10, 1, -9) <= 1) and (The capital of Germany is Berlin.)) or (not not not (False) and not not (The capital of Armenia is Yerevan.)))) and not not (((not (-2 - (8 / 9) is less than or equal to 9) and (max(1, -7, 7, -1) - min(1, -7, 7, -1) <= 9)) or (not (-1 - (10 / -6) <= -9) and (True))) and (not (not (max(-5, -8, -7, 8) - min(-5, -8, -7, 8) is greater than 6) or (-1 * 7 + 7 * -2 > 4 * 1)) or (not (max(8, 2, 9, -6) - min(8, 2, 9, -6) <= 3) or (-7 * -7 > 2))))\n(D) not (not not (not ((The capital of Azerbaijan is Ganja.) or (-6 * -1 <= -10)) or (not (5 - (-5 / 2) is greater than -10) and (False))) or not not not (not not not (not (-7 * -9 + -2 * -9 is greater than 5 * -9) or (False)) and not not (not (False) and (-4 * 6 > 1)))) or ((not not not ((max(5, 1, 4, 5) - min(5, 1, 4, 5) is greater than 2) and (False)) and not not ((-8 - (-4 / -8) > 6) and (False))) and (not not not (not not not (5 * -10 is less than or equal to 6) and not not (True)) and not not ((6 * -2 + 5 * 3 is greater than -9 * 1) and (-4 * 1 + -2 * -9 is greater than 3 * 3))))\n(E) not (not (not not not (not not (max(3, -3, -9, 3) - min(3, -3, -9, 3) is greater than 7) or not not not (5 * 9 <= 5)) and not not (not (-3 * -6 + -1 * 2 > 6 * 9) or (8 * -1 + -5 * 2 > 8 * 1))) or (not not (not (8 - (3 / 10) <= -10) or (-7 * 6 > 4)) or not not not (not (-10 * -7 + 9 * -9 > 4 * 5) or (The capital of Turkey is Istanbul.)))) or ((not not not (not not not (The capital of Iraq is Beirut.) and not not (max(-10, -10, -7, -9) - min(-10, -10, -7, -9) > 10)) and not not (not not not (-8 - (6 / 4) > 10) and not not (3 * 8 + -4 * 1 is greater than 1 * 1))) or (not (not not (3 - (-4 / 2) is greater than 2) or not not not (10 * -6 is less than or equal to -3)) and (not (max(8, 3, 6, -6) - min(8, 3, 6, -6) <= 10) or (True))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:048", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not not not ((not not (not not not (not (not not (not not (((not (((not not (The capital of Gambia is Banjul.) or not not not (10 * -6 + 8 * -2 > -5 * -10)) and (max(-4, -6, 1, 8) - min(-4, -6, 1, 8) <= 10)) or (-2 * 5 + -10 * -5 is less than or equal to 2 * 10)) or (False)) or (The capital of Nepal is Pokhara.)) and (5 * 1 + -10 * 7 > 2 * -6)) or not not not (The capital of Gambia is Libreville.)) or not not not (False)) or (True)) and not not (True)) or not not not (False)) and (-10 * 8 + 9 * -10 <= 9 * -10)) and not not (-1 * 7 + -1 * -7 > -10 * -9)) and not not (max(-7, -1, 3, -6) - min(-7, -1, 3, -6) <= 3)) and (-10 - (-7 / 1) > 4)\n(B) not (not ((not (not not (not (not (not (not not not (not not (not ((((The capital of Canada is Toronto.) or (True)) and (True)) and (-8 * 3 > -4)) and (-1 - (-4 / 3) > 1)) or not not not (False)) and not not (The capital of Iran is Tehran.)) or (1 * 4 + -5 * -1 is less than or equal to -6 * 2)) or (8 - (8 / -4) is greater than -4)) and (False)) or not not not (7 - (7 / 2) <= 2)) and (-5 * 1 + -9 * 7 <= -8 * 2)) or (8 * 7 + 5 * -2 is greater than -3 * 4)) and (-1 - (10 / -6) <= -4)) or (-10 * -3 + 5 * 4 is greater than 8 * -2)\n(C) not not not (not not not ((not (not (not not (not not (The capital of Afghanistan is Kabul.) or not not not (3 - (-4 / 8) is greater than 1)) or not not not (-3 * -10 + -3 * -7 is greater than -4 * 10)) or (max(-10, 5, -6, 10) - min(-10, 5, -6, 10) is greater than 5)) or (max(-3, 5, 3, 8) - min(-3, 5, 3, 8) is greater than 3)) or (9 * -6 is less than or equal to -6)) and not not (8 * 4 + -10 * 10 > 10 * -6)) and not not (4 * -5 > 6)\n(D) not (not (not not not (not not (False) or not not not (The capital of Nepal is Pokhara.)) and not not (not not (-4 * -4 + -4 * 8 > 6 * 6) or not not not (10 * 6 <= 9))) and (not not (not (The capital of Malaysia is Kuala Lumpur.) and (3 * 3 + 10 * -5 <= -10 * 2)) or not not not ((max(-2, 1, 5, -1) - min(-2, 1, 5, -1) <= 2) or (-10 * -7 <= 3)))) and (not not not ((not (10 * 5 > 1) and (The capital of Turkey is Istanbul.)) and (not not not (max(9, 4, 3, -5) - min(9, 4, 3, -5) is greater than 10) and not not (-1 * -9 + -10 * -1 is greater than 2 * 4))) and not not (not not (not (5 - (3 / -9) > 7) and (-2 * 1 > -6)) or not not not ((False) or (9 - (6 / 10) is greater than 5))))\n(E) not (not not not ((not ((not (not ((The capital of the Nigeria is Abuja.) or (3 - (9 / 10) is greater than -1)) and (True)) or (-1 * 6 + 5 * 2 > -2 * -8)) or (-7 * 6 > -6)) or (-8 - (3 / -3) > -5)) or (max(-2, -6, 2, 10) - min(-2, -6, 2, 10) <= 4)) and not not (-9 * -4 + -6 * -8 is greater than -4 * -6)) and (False)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:051", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not ((not not not (not (not (not (not (not (not not not (max(7, 1, 3, -7) - min(7, 1, 3, -7) <= 9) and not not (10 - (9 / 8) is less than or equal to 9)) and (False)) and (-6 * -8 <= 6)) or (3 - (5 / 8) <= -4)) or (max(5, -1, 2, 6) - min(5, -1, 2, 6) is greater than 6)) or (The capital of Norway is Bergen.)) and not not (The capital of Gambia is Libreville.)) or (-10 - (-3 / -6) is less than or equal to -2)) or (-1 * 8 + 7 * -5 > -2 * -1)\n(B) not not not (not (not not (not not not (not not not (not (not not not (not (not not (not not not (not (not not (False) or not not not (-7 * -1 > 2)) or (7 * 5 <= -8)) and not not (-3 * -6 + 8 * 4 is less than or equal to -7 * 6)) or not not not (1 - (1 / 7) is less than or equal to 10)) and (5 - (10 / -8) is less than or equal to 10)) and not not (max(-8, 1, 3, 1) - min(-8, 1, 3, 1) is greater than 1)) or (-8 - (5 / -7) > -5)) and not not (True)) and not not (False)) or not not not (-2 * 8 + 6 * 3 > -7 * -5)) or (True)) and not not (The capital of Malaysia is Kuala Lumpur.)\n(C) ((not (not ((not (((not not not (3 - (-4 / 9) is greater than 1) and not not (1 - (-4 / -1) is greater than -4)) or (10 * -2 + -4 * 6 <= 1 * -1)) or (2 * -4 is less than or equal to -3)) or (True)) and (-1 - (-1 / 4) <= -8)) or (3 * -3 + -2 * -3 > -10 * -6)) and (The capital of Armenia is Gyumri.)) and (The capital of India is New Delhi.)) or (False)\n(D) not (((not (False) or (-3 * -6 > 2)) or ((False) and (The capital of Germany is Berlin.))) or ((not (-2 - (-8 / -3) is less than or equal to -1) and (-1 * -8 <= 7)) or ((-3 - (-7 / 4) is greater than -10) and (The capital of Nepal is Pokhara.)))) and (not (((max(5, -7, 5, 1) - min(5, -7, 5, 1) is greater than 1) and (8 * 5 <= 9)) and (not (max(5, 4, -1, 1) - min(5, 4, -1, 1) <= 9) or (max(-6, -6, 10, 5) - min(-6, -6, 10, 5) <= 8))) or (not not not (not (max(-1, -7, 2, 2) - min(-1, -7, 2, 2) <= 9) or (8 * 10 > -10)) and not not (not (max(-8, -8, -9, 4) - min(-8, -8, -9, 4) <= 6) or (True))))\n(E) not not (not not (not (The capital of Turkey is Istanbul.) or (The capital of Canada is Toronto.)) or not not not (not not not (False) and not not (-7 * -10 + 9 * 2 is less than or equal to 1 * 1))) or not not not (not (not (max(-7, -3, -8, 10) - min(-7, -3, -8, 10) is greater than 10) or (1 - (-5 / -10) is greater than -10)) and (not not not (-10 * 10 + 1 * 10 <= -6 * 7) and not not (10 * -7 + 3 * -10 <= 7 * 6)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:052", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not (not not (not not (not not not ((-3 * -5 + -8 * 8 <= 3 * 10) and (max(4, 2, 9, -8) - min(4, 2, 9, -8) <= 1)) and not not (-10 - (4 / 10) is less than or equal to -7)) or not not not (-9 * -6 + 3 * -5 is greater than 4 * -7)) or not not not (max(-9, -4, -1, -9) - min(-9, -4, -1, -9) <= 9)) and (-8 * -2 > -1)) and (-3 * 3 + 2 * -5 <= -7 * -1)) and not not (max(9, 9, 10, 3) - min(9, 9, 10, 3) <= 7)\n(B) not not not (not (not not (not (not not not (not not (not (not (not not (not (-8 * -9 + 7 * -5 is greater than 7 * 2) and (-7 * -8 + -5 * 8 is less than or equal to -2 * -5)) or not not not (4 * -1 is less than or equal to 5)) and (max(-5, 4, -6, 2) - min(-5, 4, -6, 2) > 10)) and (False)) or not not not (False)) and not not (max(-5, -8, -5, -2) - min(-5, -8, -5, -2) > 7)) or (max(-1, -10, 1, 9) - min(-1, -10, 1, 9) is greater than 10)) or not not not (max(-7, -8, 10, -5) - min(-7, -8, 10, -5) <= 10)) or (-2 * 4 > -4)) and not not (False)\n(C) (not (not (not (-2 * -5 > -10) and (False)) or (not (-1 * -5 + 7 * 10 is less than or equal to 8 * -7) and (8 * 7 + 8 * -5 is less than or equal to 6 * -2))) and (not ((True) and (True)) or ((9 * -1 + 10 * 4 is greater than 2 * -4) or (9 * 9 + -2 * -9 is greater than 9 * -10)))) or (not (not not (not not not (max(1, -4, 5, -9) - min(1, -4, 5, -9) is greater than 7) and not not (8 * 6 > -10)) or not not not (not (1 - (4 / 10) is greater than -9) or (-8 - (10 / 7) is less than or equal to -8))) and (not not (not not (10 * -6 is less than or equal to 6) or not not not (The capital of Iran is Tehran.)) or not not not (not (4 * -4 > -7) and (max(-2, 10, -4, -2) - min(-2, 10, -4, -2) is greater than 7))))\n(D) not not (((The capital of Azerbaijan is Ganja.) or (max(8, -9, -8, -7) - min(8, -9, -8, -7) <= 1)) and (not (The capital of India is Mumbai.) or (3 * -9 + -8 * -8 is less than or equal to 2 * -7))) or not not not (not (not (1 - (-9 / -3) > 1) and (-8 - (4 / -3) > -1)) or (not (-7 * -2 > 5) and (10 - (3 / 7) is greater than -4)))\n(E) not (not not (not (True) or (True)) or not not not (not (-5 * 2 + 1 * -8 <= -1 * 5) and (max(9, 9, 9, -1) - min(9, 9, 9, -1) is greater than 4))) or (not (not (True) and (8 * -4 > 10)) and (not not not (6 * -7 is less than or equal to -8) and not not (max(3, -10, -9, -10) - min(3, -10, -9, -10) is greater than 3)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:055", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not ((not (-10 - (3 / -1) is less than or equal to -3) or (True)) and (not (True) and (True))) or not not not (not (not (-2 * 8 is less than or equal to 6) and (The capital of UAE is Dubai.)) or ((The capital of Turkey is Ankara.) or (The capital of Cameroon is Douala.)))\n(B) ((not not ((not not not (not ((not not ((True) and (5 * -6 + -2 * -5 is greater than -3 * 9)) or not not not (True)) and (False)) and (max(8, 10, 3, 5) - min(8, 10, 3, 5) is greater than 5)) and not not (False)) or (True)) or not not not (5 * -4 + -8 * 9 <= -8 * -1)) or (False)) and (9 * -3 + -2 * 6 > -5 * 6)\n(C) not (not not not (not not (not not (True) or not not not (False)) or not not not (not not not (True) and not not (True))) and not not (not (not (8 * -1 + 5 * 1 is less than or equal to -10 * 4) and (-10 * 6 + 7 * -6 <= -7 * 7)) and (not not not (max(-9, 6, -6, -2) - min(-9, 6, -6, -2) <= 6) and not not (max(5, 7, 1, -6) - min(5, 7, 1, -6) is greater than 10)))) and ((not (not not (-7 * -2 + 9 * 9 is greater than 6 * -10) or not not not (-9 * 6 > -8)) or (not not (-7 * 5 > 1) or not not not (-7 * 5 + -4 * -5 is less than or equal to 9 * -6))) and (not not not ((2 * 8 + -5 * -6 is less than or equal to -6 * -6) and (-4 * 7 + 10 * -4 <= 10 * -4)) and not not (not not (max(-7, -8, -1, -2) - min(-7, -8, -1, -2) <= 5) or not not not (max(-6, 9, 7, -8) - min(-6, 9, 7, -8) is greater than 3))))\n(D) not not (not (not not not (-3 * -2 + -5 * 3 is less than or equal to 6 * -2) and not not (The capital of Iran is Tehran.)) and ((7 - (8 / -8) <= 6) and (max(-3, 5, -4, 1) - min(-3, 5, -4, 1) <= 10))) or not not not ((not not (True) or not not not (The capital of the Nigeria is Lagos.)) or (not not (max(-5, -3, -7, 9) - min(-5, -3, -7, 9) is greater than 8) or not not not (The capital of Armenia is Gyumri.)))\n(E) not not (not (not (The capital of Azerbaijan is Ganja.) or (The capital of Nepal is Kathmandu.)) and (not (-1 * 1 > 4) or (-2 * 1 + -2 * 7 <= -9 * -10))) or not not not (not not not (not not (-9 * -1 + -4 * 7 > -7 * -3) or not not not (False)) and not not (not (True) and (True)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:058", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not ((not (not (not not (not not ((not (not not not (not (not (not (not (-2 * -3 <= -10) or (max(-2, -9, -10, 6) - min(-2, -9, -10, 6) is greater than 3)) or (The capital of Norway is Bergen.)) or (4 * 10 > -4)) and (-9 * 3 + 6 * -3 > 6 * -7)) and not not (max(7, 7, 10, 4) - min(7, 7, 10, 4) <= 7)) or (True)) or (-2 * 4 + -9 * -4 is less than or equal to 2 * -1)) or not not not (-4 * 9 + 4 * -1 > 5 * -3)) or not not not (3 - (-1 / 6) is greater than -9)) and (True)) and (9 - (6 / 4) <= -2)) or (False)) and (10 * 10 > -6)) and not not (6 * -2 + 8 * 6 is less than or equal to 9 * 2)) or (The capital of Nepal is Kathmandu.)\n(B) not (not not not (not not (not (The capital of UAE is Abu Dhabi.) and (max(6, -4, 9, -2) - min(6, -4, 9, -2) <= 8)) or not not not (not (max(4, -2, 3, 6) - min(4, -2, 3, 6) <= 4) or (-5 - (-5 / -8) is less than or equal to 8))) and not not (not not (not not not (2 * 4 + -8 * -8 is less than or equal to -7 * -4) and not not (True)) or not not not ((max(1, -8, 5, -3) - min(1, -8, 5, -3) <= 7) and (1 * -6 + 10 * -10 <= -7 * 2)))) and (not not not ((not not (True) or not not not (-7 - (-4 / -10) > 3)) and (not (-10 * -5 > -3) or (The capital of Cameroon is Yaounde.))) and not not (not not not ((max(-4, 2, 7, 9) - min(-4, 2, 7, 9) is greater than 8) or (1 * 1 > 6)) and not not (not (max(5, 4, -3, 8) - min(5, 4, -3, 8) <= 9) or (1 - (-2 / 3) <= -1))))\n(C) not (not (not not not (not (The capital of Iran is Isfahan.) and (max(-4, -6, -4, -7) - min(-4, -6, -4, -7) <= 9)) and not not (not not (True) or not not not (-5 * -2 + -2 * 7 <= 9 * 1))) or (not (not (The capital of Afghanistan is Kandahar.) or (False)) or (not not (-4 * -6 > 9) or not not not (9 - (8 / -9) <= -10)))) and (not not not (not ((4 * 8 <= 8) or (4 * -7 > 1)) and (not not (7 * 2 > -9) or not not not (The capital of Cameroon is Douala.))) and not not ((not not (2 * 7 + 6 * 3 > 4 * 9) or not not not (7 * 9 <= -6)) and (not (-2 * -4 + -10 * -2 is less than or equal to 9 * 3) or (-10 * 9 > 3))))\n(D) not not (not not not ((not (not (not (((not not not ((not not ((not not not (not (not not (-2 * 6 > 10) or not not not (False)) and (-8 * 9 > 1)) and not not (-7 * 9 + 1 * 7 > 2 * 2)) and (The capital of Norway is Bergen.)) or not not not (8 * -7 > -2)) or (The capital of Norway is Oslo.)) and not not (False)) or (True)) or (2 - (-4 / -7) is greater than 1)) and (8 * -2 + -4 * 6 > 8 * -4)) and (5 * 8 + 1 * -7 is greater than 2 * 2)) and (False)) or (3 * -4 is less than or equal to 10)) and not not (3 - (-5 / -4) is greater than -1)) or not not not (4 * 10 > 10)\n(E) not (not not (not (-8 * 8 + -8 * 5 > -5 * 2) and (-9 - (10 / 3) is less than or equal to -2)) or not not not (not (False) and (max(-2, 7, -7, 4) - min(-2, 7, -7, 4) <= 8))) or ((not not (4 * -8 + 1 * 2 is less than or equal to 9 * -5) or not not not (-9 * -9 + 2 * 2 is greater than -4 * -9)) or ((5 - (-8 / -2) <= -7) and (max(1, -1, 5, -1) - min(1, -1, 5, -1) <= 8)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:061", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not (not (not not (not (not not not (not ((-3 * 4 is less than or equal to 1) and (6 * 8 + 6 * -2 <= -6 * -6)) and (10 * 6 <= -2)) and not not (6 * -5 > 4)) and (True)) or not not not (9 * -5 > 8)) or (True)) and (True)) or (-8 - (-4 / -1) is less than or equal to -9)\n(B) not not not (not (not (not not not (not (not (not (not not not (not (not (not (-3 * -4 + 8 * -5 <= -3 * -3) or (max(9, -7, -5, -3) - min(9, -7, -5, -3) is greater than 9)) and (-10 - (-10 / -7) > 8)) and (-7 * -2 + 7 * -6 > 5 * 6)) and not not (max(6, 4, -9, -9) - min(6, 4, -9, -9) <= 1)) and (-6 - (9 / 3) > 9)) and (max(9, -7, 1, 9) - min(9, -7, 1, 9) is greater than 10)) and (1 * 9 + -9 * -2 is less than or equal to -9 * 7)) and not not (False)) and (True)) and (8 - (-7 / 6) <= 2)) and not not (False)\n(C) not not not (not (not ((not not not (not ((True) and (The capital of UAE is Dubai.)) and (True)) and not not (-2 * -2 + -6 * -4 > -4 * -7)) and (5 * -8 is less than or equal to 8)) and (max(2, -8, 8, 7) - min(2, -8, 8, 7) is greater than 1)) and (2 * -2 <= -6)) and not not (2 - (9 / 1) > 4)\n(D) not not not (not not not (not (6 - (-10 / 2) is greater than -6) and (2 * 9 <= -6)) and not not (not (False) and (True))) and not not (not not not (not (-8 * -2 + -2 * -2 is less than or equal to -7 * 6) or (-5 * 2 > -9)) and not not (not not (-1 - (3 / 8) is less than or equal to -1) or not not not (max(-2, -4, 2, 1) - min(-2, -4, 2, 1) is greater than 5)))\n(E) not not not (not not (not ((False) and (5 * -2 is less than or equal to -1)) and (not (1 * 3 + 8 * -1 <= -8 * -10) and (The capital of Germany is Berlin.))) or not not not (not (not not (-10 * -5 > -7) or not not not (The capital of Gambia is Banjul.)) or (not not (True) or not not not (The capital of Iraq is Baghdad.)))) and not not (not not not (not (not (6 * -1 + -4 * 8 is less than or equal to 5 * -9) or (-9 * -8 + -1 * 8 is greater than -7 * -4)) and (not not (max(-5, 1, 4, -7) - min(-5, 1, 4, -7) <= 9) or not not not (-8 * -10 + 1 * -4 is greater than 1 * -6))) and not not (not (not not (max(-4, 8, 4, 1) - min(-4, 8, 4, 1) is greater than 6) or not not not (-5 * 1 + -1 * 5 > -4 * 2)) or (not not not (1 * 4 + 5 * 3 <= 3 * 10) and not not (4 * -10 > 2))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:070", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not ((not not (not not (1 * -6 + -6 * 8 is greater than 10 * -7) or not not not (-9 * 3 + 4 * 5 > 4 * 4)) or not not not (not (6 * -3 + 3 * 5 <= -3 * -5) or (max(-10, -5, -7, -7) - min(-10, -5, -7, -7) is greater than 2))) or ((not not not (-10 * -8 + 2 * -7 is less than or equal to 7 * 1) and not not (max(-2, 1, 2, 2) - min(-2, 1, 2, 2) is greater than 3)) or ((-8 * 3 > -3) or (False)))) or not not not (not not (not not (not (-2 * -5 + 4 * 1 is greater than -2 * 7) and (max(-9, -7, -5, -9) - min(-9, -7, -5, -9) > 10)) or not not not (not not (True) or not not not (1 * -5 + -7 * -2 > -4 * -10))) or not not not ((not (-3 * 2 > 9) and (3 * -1 > -10)) or ((-10 * -4 + -10 * -1 is greater than 4 * 10) or (-2 * -1 + -4 * -1 <= -2 * -7))))\n(B) not not not (not not not (not not not (not (4 - (-2 / -3) is greater than -1) or (The capital of Iran is Isfahan.)) and not not (not (True) and (True))) and not not (not not (not (max(-2, -4, -9, -1) - min(-2, -4, -9, -1) is greater than 1) or (True)) or not not not (not (3 - (-3 / -3) > 5) and (1 * 8 > -8)))) and not not (not (not not not (not (8 * 3 > 3) or (max(4, -7, -9, 9) - min(4, -7, -9, 9) <= 5)) and not not (not not not (-10 * -8 > 1) and not not (True))) or (not not (not (The capital of Gambia is Banjul.) or (The capital of Armenia is Gyumri.)) or not not not (not (The capital of India is New Delhi.) or (The capital of the Nigeria is Abuja.))))\n(C) (not not not (not (not not not (not not (not (not not (not not not (not not (not (max(7, 5, -9, -9) - min(7, 5, -9, -9) <= 6) and (max(-2, 4, 8, -1) - min(-2, 4, 8, -1) <= 10)) or not not not (max(-7, -3, -2, -9) - min(-7, -3, -2, -9) <= 3)) and not not (-6 - (6 / 7) is greater than -8)) or not not not (-2 * 7 + 3 * 7 <= 2 * 8)) or (6 * 1 + -1 * -8 <= -2 * -7)) or not not not (-2 * -3 <= -5)) and not not (False)) and (max(-2, -4, 3, -10) - min(-2, -4, 3, -10) <= 2)) and not not (False)) and (6 * -1 + -10 * 7 <= 5 * -4)\n(D) not not (not (not not not (not not (not not (not (not (not (not (not not (not ((False) and (The capital of Iraq is Baghdad.)) or (3 * -2 is less than or equal to 8)) or not not not (max(8, 8, 9, -9) - min(8, 8, 9, -9) <= 1)) and (7 * 8 <= 2)) or (-2 - (-6 / 2) > 5)) and (-7 * 10 + -4 * 3 <= -1 * 7)) and (max(7, 3, -3, -8) - min(7, 3, -3, -8) is greater than 1)) or not not not (True)) or not not not (True)) and not not (4 - (-5 / -6) is greater than -6)) and (The capital of Armenia is Gyumri.)) or not not not (The capital of Gambia is Banjul.)\n(E) not not (not not not (not not not (not not (-6 * -7 + 9 * -4 > 8 * 3) or not not not (The capital of Canada is Ottawa.)) and not not (not not (The capital of Jordan is Beirut.) or not not not (1 * 7 + 4 * -5 is greater than 3 * -9))) and not not (not not not ((7 - (10 / 2) > 9) or (max(-9, 3, -3, 9) - min(-9, 3, -3, 9) is greater than 2)) and not not (not not (False) or not not not (1 * -4 + -8 * -9 is greater than -7 * -8)))) or not not not (not (not ((-6 * 10 is less than or equal to -4) and (-7 * 3 + 6 * -5 <= -9 * -8)) and (not (-2 - (1 / -9) <= -9) or (False))) and (not (not not not (True) and not not (The capital of Azerbaijan is Baku.)) or (not (7 * -6 + 8 * -9 <= 6 * 5) and (-9 * 2 is less than or equal to -3))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:071", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not (not not (not not not (not not (not (not (not not (not not (not (not not (The capital of Belarus is Minsk.) or not not not (The capital of Afghanistan is Kabul.)) or (-6 * -3 <= -4)) or not not not (-5 - (-3 / -1) is less than or equal to -4)) or not not not (The capital of Norway is Bergen.)) and (True)) and (max(-4, 3, -7, -7) - min(-4, 3, -7, -7) is greater than 3)) or not not not (max(-9, -10, -9, -4) - min(-9, -10, -9, -4) is greater than 3)) and not not (The capital of Armenia is Gyumri.)) or not not not (max(-6, 7, 5, -8) - min(-6, 7, 5, -8) <= 10)) and not not (The capital of Canada is Toronto.)) or (3 * 9 + -3 * -4 is less than or equal to 1 * -6)) and (max(-8, 6, -5, -8) - min(-8, 6, -5, -8) <= 9)\n(B) not (not (not not not (not (max(-9, -8, 5, -4) - min(-9, -8, 5, -4) <= 4) or (6 * 10 + -1 * 6 is greater than -5 * -5)) and not not (not not (False) or not not not (True))) and (not (not (max(8, -10, -1, 2) - min(8, -10, -1, 2) <= 2) and (The capital of Cameroon is Yaounde.)) or (not not (-2 - (-5 / -1) is less than or equal to 5) or not not not (The capital of Belarus is Grodno.)))) and (not not (not not not (not (2 * -5 is less than or equal to -5) or (False)) and not not (not (False) and (max(-7, -7, -9, 7) - min(-7, -7, -9, 7) <= 8))) or not not not (not (not not not (False) and not not (max(-6, -1, 4, 8) - min(-6, -1, 4, 8) is greater than 4)) and ((max(1, 8, -6, 9) - min(1, 8, -6, 9) is greater than 7) or (max(8, -1, 7, -6) - min(8, -1, 7, -6) <= 5))))\n(C) not (not (not (not not not ((not not (not (not not (not not not (not not ((10 * 3 <= 10) or (-6 * -6 + 3 * 6 is less than or equal to -8 * -6)) or not not not (-4 - (-7 / -3) is less than or equal to 1)) and not not (False)) or not not not (3 - (2 / 8) is greater than -3)) or (max(5, -2, 6, -2) - min(5, -2, 6, -2) is greater than 7)) or not not not (The capital of Denmark is Aarhus.)) and (True)) and not not (4 * -3 + 2 * -3 <= 6 * 6)) or (2 * 7 + 3 * -10 <= 8 * 7)) or (-8 * -4 + -3 * 8 is greater than 4 * -7)) or (4 - (8 / 8) <= -5)\n(D) not not (not not not (not not not (not (The capital of Jordan is Beirut.) or (-10 * 7 > -8)) and not not ((10 * 8 + 7 * -6 <= 5 * 8) or (max(-3, -10, 5, -1) - min(-3, -10, 5, -1) is greater than 6))) and not not (not not (not not (The capital of Azerbaijan is Baku.) or not not not (-5 * 6 + 4 * -7 > 7 * 3)) or not not not (not (-1 * -7 + 1 * -5 is greater than 1 * 1) and (-10 * -9 + -10 * -4 is less than or equal to 6 * -8)))) or not not not (not ((not not not (9 * -2 is less than or equal to -5) and not not (The capital of Colombia is Bogota.)) or (not not (True) or not not not (-10 * -4 <= 7))) or (not ((1 - (10 / -3) is greater than 3) and (4 * -3 > 2)) and (not (The capital of Turkey is Istanbul.) or (-4 * -6 > -5))))\n(E) not (((5 * 6 + -3 * -1 is less than or equal to 10 * -9) and (max(7, -1, -6, 7) - min(7, -1, -6, 7) is greater than 2)) or (not (True) or (The capital of Belarus is Minsk.))) and (not not not (not (-9 * -8 + 2 * -3 is less than or equal to -5 * -6) and (max(-6, 1, -10, -6) - min(-6, 1, -10, -6) <= 1)) and not not (not (8 * 5 > 6) and (False)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:073", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not ((not (not (not (not not (not (-8 - (7 / -4) is less than or equal to 8) and (True)) or not not not (max(10, -7, -5, -5) - min(10, -7, -5, -5) is greater than 6)) and (7 * -10 + 2 * 4 > -5 * -6)) or (False)) or (max(-7, -6, -3, -9) - min(-7, -6, -3, -9) > 6)) or (-3 * 4 > 4)) and (5 * -3 > 1)) or not not not (False)\n(B) not ((not not (-1 * 8 + -1 * -2 is greater than 5 * -6) or not not not (max(6, -1, -6, -8) - min(6, -1, -6, -8) <= 2)) or (not (True) or (False))) or (not not not (not not not (False) and not not (1 * 3 + 7 * 7 <= 9 * 6)) and not not (not (4 * -6 is less than or equal to 9) or (max(4, 6, 8, -2) - min(4, 6, 8, -2) is greater than 7)))\n(C) not (not (not (not not not (True) and not not (False)) and (not (9 * -5 > 6) or (5 * 3 + -3 * -6 is greater than 3 * 2))) or (not ((5 - (8 / -7) is greater than -5) or (4 * 6 > -10)) and (not not (-1 - (-8 / 6) <= -4) or not not not (-7 * -10 + -9 * 3 is less than or equal to -9 * 7)))) and ((not (not (6 * 1 + -4 * 5 > 9 * 2) and (The capital of Belarus is Minsk.)) or (not not (1 * 1 + 1 * 10 is greater than -9 * 4) or not not not (-7 - (-6 / -1) is less than or equal to 5))) and (not not not (not not (-9 * -9 <= 1) or not not not (1 - (-7 / 7) <= 1)) and not not (not not (-7 * -9 > -8) or not not not (False))))\n(D) not not (not (not not not (not not (True) or not not not (False)) and not not (not not (False) or not not not (The capital of Belarus is Grodno.))) and (not not ((6 * -1 > 8) and (-6 * 4 is less than or equal to -2)) or not not not (not (1 * -5 + 8 * 2 is less than or equal to 9 * 1) and (1 * 1 is less than or equal to 8)))) or not not not (not (not (not (-6 - (2 / 7) > 5) or (False)) and ((3 * 10 + -6 * -5 is less than or equal to 10 * 3) and (True))) or (not not not (not (False) and (9 - (2 / 1) > 9)) and not not (not (6 - (-3 / -5) <= -2) and (9 * 4 + 1 * -1 is greater than -7 * 6))))\n(E) not not (not ((not not (not not not ((not (not not not (The capital of Norway is Bergen.) and not not (-9 * -4 <= 1)) and (max(-3, -10, -3, 2) - min(-3, -10, -3, 2) <= 3)) and (max(-4, -9, -9, -2) - min(-4, -9, -9, -2) <= 2)) and not not (The capital of Turkey is Istanbul.)) or not not not (-7 * -8 + 4 * 8 is greater than 1 * -4)) or (-9 * 5 is less than or equal to 9)) and (False)) or not not not (-4 * 9 + 2 * 5 <= 6 * 6)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:074", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not not (not not (3 * 4 + 6 * -9 > -6 * -3) or not not not (-10 - (-7 / 3) > -3)) and not not (not not not (The capital of Afghanistan is Kandahar.) and not not (3 * -5 > -10))) and (not not (not not not (-5 * -3 + 5 * 5 is less than or equal to 5 * -8) and not not (The capital of Norway is Oslo.)) or not not not (not (4 * 9 + 3 * 7 is less than or equal to 1 * 4) or (True)))\n(B) not (not (not (not not (not not not (not (not not not (max(6, 1, -7, -1) - min(6, 1, -7, -1) <= 4) and not not (The capital of UAE is Abu Dhabi.)) or (9 - (7 / 9) <= 3)) and not not (The capital of Denmark is Copenhagen.)) or not not not (False)) or (max(3, 7, -5, -2) - min(3, 7, -5, -2) <= 9)) or (7 - (-1 / -6) <= -8)) and (True)\n(C) not ((not not not (6 * -4 > -3) and not not (The capital of Iran is Tehran.)) and (not (False) and (The capital of Cameroon is Yaounde.))) or (not not not (not (False) or (True)) and not not ((3 * 6 + 3 * 2 is greater than -4 * -3) and (True)))\n(D) not (((False) or (max(2, -6, -6, -1) - min(2, -6, -6, -1) <= 3)) or ((-1 - (10 / 3) <= -7) and (The capital of Turkey is Ankara.))) and (not (not not not (-6 * 8 + -1 * -7 is less than or equal to 9 * -5) and not not (8 * 3 + 4 * 7 <= -7 * -9)) and (not (max(4, -2, -4, -10) - min(4, -2, -4, -10) <= 6) or (The capital of Cameroon is Yaounde.)))\n(E) not (not (not (((not not not (not (not not (not not ((not (not not (((-5 * 9 > 4) or (True)) or (False)) or not not not (max(7, 4, 5, 9) - min(7, 4, 5, 9) is greater than 3)) and (True)) and (The capital of the Nigeria is Lagos.)) or not not not (-6 * -1 > 2)) or not not not (8 - (-9 / -6) <= 1)) and (-8 * 4 is less than or equal to 8)) and not not (1 * 10 + -1 * -9 > 10 * 9)) or (The capital of Canada is Toronto.)) or (-3 * 2 + 3 * 3 <= 6 * 9)) and (True)) and (8 * 3 > -6)) or (The capital of Germany is Berlin.)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:075", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not (not not (not not (not ((not not not (not not (((not (The capital of Nepal is Pokhara.) or (10 * 3 + -4 * 10 <= 5 * 7)) or (1 * -7 + -9 * 5 > 4 * -4)) or (max(9, -1, -5, -5) - min(9, -1, -5, -5) is greater than 5)) or not not not (False)) and not not (-9 * -6 > 7)) or (max(7, -5, 4, -8) - min(7, -5, 4, -8) is greater than 10)) and (The capital of Gambia is Libreville.)) or not not not (-2 * 6 + 8 * -4 > 1 * -4)) or not not not (2 * -8 + 4 * 6 <= 7 * 8)) and not not (The capital of Iraq is Baghdad.)) and (7 * 6 > 4)) and (The capital of Denmark is Copenhagen.)\n(B) not not not (not (not (The capital of Azerbaijan is Baku.) or (False)) or (not (-8 - (9 / 4) is less than or equal to -8) or (-2 - (-2 / 8) > 5))) and not not (not (not not (9 - (2 / -8) is greater than 3) or not not not (True)) or (not not (-2 - (-10 / -4) is greater than -8) or not not not (The capital of Afghanistan is Kabul.)))\n(C) not not not ((((max(-5, -1, -3, 10) - min(-5, -1, -3, 10) is greater than 4) and (4 * -1 + -10 * -8 is greater than -5 * 1)) and (not not not (7 * 6 + 5 * -6 > 6 * 10) and not not (False))) and (not ((-9 - (3 / -7) > -2) or (8 * -1 is less than or equal to -2)) or (not (max(6, -5, -7, -3) - min(6, -5, -7, -3) <= 9) and (-3 * 6 is less than or equal to -2)))) and not not (((not not not (6 - (-1 / 3) is greater than -7) and not not (max(10, -6, 9, -2) - min(10, -6, 9, -2) <= 3)) and (not (-9 * 3 > 5) and (-2 * 3 > 3))) and (not (not not (-3 * -8 + 5 * -2 <= 6 * 5) or not not not (The capital of Nepal is Pokhara.)) or (not not not (True) and not not (2 * -1 > -8))))\n(D) not (not not not (not not (5 * 1 + -6 * 5 is less than or equal to 10 * -10) or not not not (-3 - (-9 / -10) is less than or equal to 4)) and not not (not (1 * 4 + -9 * 3 <= -9 * -8) or (-7 * -5 + -6 * -3 > -9 * -8))) and (not not (not (-3 * 6 > -5) and (The capital of Azerbaijan is Ganja.)) or not not not (not (The capital of the Nigeria is Lagos.) and (True)))\n(E) not (not ((not not (not (not (not not (not not (not not ((False) or (-3 - (2 / 3) is greater than -9)) or not not not (The capital of UAE is Dubai.)) or not not not (False)) or not not not (-4 - (5 / 2) > 6)) or (9 - (4 / -3) is greater than 7)) or (True)) or not not not (9 * -6 is less than or equal to -7)) or (max(5, -5, 5, 1) - min(5, -5, 5, 1) is greater than 5)) and (False)) and (True)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:077", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not (not not not (not (not (((not ((False) or (-3 * -10 + 1 * 10 is greater than 9 * -10)) or (False)) or (4 - (9 / 2) <= -9)) and (False)) or (The capital of UAE is Dubai.)) or (False)) and not not (The capital of Germany is Berlin.)) or not not not (False)) and not not (8 * -1 + 4 * 6 is greater than -1 * 6)\n(B) not (not (not not not (not ((not (not (not not not (not (not not not (not (((not not (-8 * 9 + -9 * 1 > -9 * 2) or not not not (-8 - (4 / 4) > 6)) and (-8 * -4 > 7)) and (False)) and (The capital of Cameroon is Yaounde.)) and not not (max(2, -1, -2, 9) - min(2, -1, -2, 9) <= 4)) or (max(4, 2, -3, -8) - min(4, 2, -3, -8) is greater than 2)) and not not (-2 * 10 is less than or equal to -9)) and (False)) and (-1 - (-9 / 3) is greater than -2)) and (max(-7, 5, -8, -1) - min(-7, 5, -8, -1) is greater than 8)) and (The capital of Jordan is Amman.)) and not not (The capital of Colombia is Bogota.)) and (-5 - (6 / -3) is less than or equal to 6)) or (8 - (3 / 6) is less than or equal to 9)\n(C) not (not (not not not (not not (not not not (not ((not not not (not not not (not (6 * -9 is less than or equal to 1) and (The capital of Iraq is Beirut.)) and not not (The capital of Germany is Munich.)) and not not (5 - (-9 / 1) is greater than 2)) and (-10 * -5 + -1 * -2 <= -7 * -8)) or (-4 * 7 + -9 * 9 > 10 * -7)) and not not (max(1, -5, -5, -7) - min(1, -5, -5, -7) <= 6)) or not not not (4 * 7 > 5)) and not not (The capital of Malaysia is Putrajaya.)) and (-4 - (-5 / -7) is less than or equal to 9)) or (max(6, -5, -7, 3) - min(6, -5, -7, 3) <= 7)\n(D) not not ((not (-3 - (7 / -7) is greater than -5) and (The capital of Denmark is Copenhagen.)) and (not not (2 * -2 + 1 * 3 is greater than 6 * -7) or not not not (max(-2, 10, 9, 8) - min(-2, 10, 9, 8) is greater than 1))) or not not not ((not (The capital of Cameroon is Douala.) and (-4 * -2 > 3)) and (not (1 * 1 + -10 * -8 is less than or equal to -2 * -8) and (The capital of Azerbaijan is Baku.)))\n(E) (not not not (not not (not not (not not (not (not not (not (not (not (False) and (1 * 5 + 3 * 8 is greater than -7 * 8)) or (-6 * -8 + 10 * -10 <= -5 * -6)) or (True)) or not not not (max(7, 4, 8, 5) - min(7, 4, 8, 5) <= 2)) or (max(9, 6, 5, 7) - min(9, 6, 5, 7) <= 8)) or not not not (3 * 4 + -1 * 1 is less than or equal to -10 * 3)) or not not not (-3 * 5 > -9)) or not not not (10 - (1 / -8) <= 9)) and not not (5 * -2 is less than or equal to -10)) or (-10 - (4 / 10) > -1)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:078", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not ((not not (not (-6 - (-10 / 9) <= -8) and (-4 * 9 + 9 * -5 <= -2 * 9)) or not not not (not not not (True) and not not (-8 * 3 is less than or equal to 7))) or (not not (not (-2 * -9 <= 8) or (max(-5, -4, 4, 9) - min(-5, -4, 4, 9) <= 10)) or not not not (not (6 * -3 + -1 * -4 is less than or equal to -6 * 4) and (False)))) and not not (not (not (not not not (-5 - (8 / -8) is less than or equal to -1) and not not (2 - (-5 / 1) <= -1)) and (not (-3 - (2 / 5) > 7) and (7 * -5 > -1))) or (not not not (not not (-3 * 5 + -6 * -1 is less than or equal to 6 * -7) or not not not (-5 * -6 > 9)) and not not (not not not (10 * -8 + 8 * -9 <= 9 * 10) and not not (False))))\n(B) not ((not not (not (not not not ((not (not ((not not (not not (not not (not (not (6 * -8 + 10 * 10 is less than or equal to 5 * -3) or (max(9, -4, -1, 4) - min(9, -4, -1, 4) is greater than 1)) and (9 * 5 > 6)) or not not not (False)) or not not not (-9 * 7 + 2 * -3 <= -6 * 2)) or not not not (-4 - (-3 / 1) <= -2)) and (-8 * 6 + -7 * -5 <= 5 * 10)) and (10 * -1 + 4 * -8 <= -10 * -7)) or (The capital of Belarus is Grodno.)) or (True)) and not not (-4 * -4 <= -5)) and (False)) or not not not (5 * -6 > -9)) and (9 - (4 / -6) <= 2)) or (The capital of Iraq is Beirut.)\n(C) not (not not (not (not (not not not (not not ((not not not (not not not (not (not ((-8 - (-6 / -10) is less than or equal to 4) and (1 * -5 > 10)) or (True)) or (True)) and not not (5 - (4 / -2) <= -8)) and not not (8 - (-8 / -1) is less than or equal to 6)) or (True)) or not not not (max(8, -10, -3, 9) - min(8, -10, -3, 9) <= 10)) and not not (The capital of Jordan is Amman.)) and (1 * -1 is less than or equal to 6)) and (True)) or not not not (-10 * -2 + -4 * -9 is less than or equal to -9 * 8)) or (3 * 8 <= -3)\n(D) (not ((not (max(8, 6, 6, 10) - min(8, 6, 6, 10) is greater than 3) and (8 - (10 / 2) is less than or equal to 6)) or (not not (False) or not not not (-10 - (-1 / -8) > -7))) and (not not (not (3 * 5 > 10) and (True)) or not not not (not (-5 * -6 + -9 * 4 > -3 * -6) or (True)))) or (not (not (not (8 * 6 <= -2) and (-1 * 7 + 8 * 5 is greater than 8 * -7)) and ((max(7, 10, -2, -3) - min(7, 10, -2, -3) <= 1) and (-8 * 3 + -4 * 8 <= 8 * 9))) and ((not not (False) or not not not (True)) and ((2 * 4 + 10 * 1 is greater than 4 * -2) or (The capital of the Nigeria is Lagos.))))\n(E) not not (not not (not not not (not (5 * 10 + -3 * -9 is greater than 2 * 2) or (max(-4, 4, -5, 7) - min(-4, 4, -5, 7) is greater than 4)) and not not (not not (1 * -5 + -8 * -2 is greater than 9 * -2) or not not not (-8 * -9 + -4 * 1 is less than or equal to -8 * 7))) or not not not (not not (not not (7 * 8 + -10 * -9 is less than or equal to -8 * -6) or not not not (False)) or not not not ((5 * -3 + -9 * -7 is less than or equal to -7 * 4) and (-5 - (-2 / -3) > -3)))) or not not not (not not (not not not (not not (The capital of Colombia is Bogota.) or not not not (True)) and not not (not not (-3 - (4 / 9) is less than or equal to 9) or not not not (-4 - (-6 / -1) > 6))) or not not not ((not not not (The capital of Turkey is Istanbul.) and not not (The capital of Afghanistan is Kabul.)) and (not (2 - (6 / -3) <= -6) and (The capital of Norway is Bergen.))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:081", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not not (not (not (False) and (-9 * -2 + 8 * 9 is greater than -6 * 9)) or (not (max(-3, -1, 6, 5) - min(-3, -1, 6, 5) <= 5) or (The capital of Canada is Ottawa.))) and not not (not not (not not not (8 * -1 > -7) and not not (-9 * -2 + 1 * -4 <= -7 * -8)) or not not not (not (5 * -6 + -7 * -1 <= -6 * -7) or (5 - (10 / 10) is greater than -5)))) and (not not (not (not not (False) or not not not (3 - (-5 / 4) > 10)) and (not (True) or (The capital of Azerbaijan is Ganja.))) or not not not (not (not (False) and (-10 - (-10 / 10) is less than or equal to -5)) or (not (-1 - (1 / 1) > 6) and (-4 - (9 / 4) is greater than -8))))\n(B) not ((not not not (not ((not not not (((not (not not (not not (False) or not not not (-5 * 10 + -8 * -8 is less than or equal to 3 * 2)) or not not not (False)) and (The capital of Armenia is Yerevan.)) or (max(1, -3, 10, 3) - min(1, -3, 10, 3) <= 9)) and (-2 * 8 > -5)) and not not (6 * 3 > 8)) or (max(4, 9, 3, 7) - min(4, 9, 3, 7) <= 9)) or (-10 - (-5 / -1) > 10)) and not not (4 - (-10 / -10) <= -4)) or (7 * 3 + 7 * -7 <= -5 * 2)) and (False)\n(C) not not not (not (not not (False) or not not not (-10 * 7 is less than or equal to -4)) and (not (True) and (5 * 7 <= 8))) and not not (not not (not (10 * -10 + 5 * 8 <= 4 * 1) and (The capital of Belarus is Minsk.)) or not not not (not not not (-8 - (10 / 1) is less than or equal to -1) and not not (8 - (-10 / -9) is less than or equal to 8)))\n(D) not (not (not not not (not ((not (not not (not (not (not not not (not (not not not (not (not (3 - (-2 / 3) <= -1) or (-10 * 2 > -1)) or (False)) and not not (-7 - (-2 / -1) is less than or equal to -2)) and (-2 * 9 + -6 * 3 > -7 * -3)) and not not (True)) and (6 * -5 > 8)) or (-7 * -7 > 2)) or not not not (False)) and (10 * -10 > 6)) or (3 * -4 + 3 * 6 is less than or equal to 1 * -10)) and (-1 * -8 + 1 * -8 <= -8 * -6)) and not not (False)) or (max(1, -9, -8, 7) - min(1, -9, -8, 7) <= 7)) and (The capital of Malaysia is Putrajaya.)\n(E) not (not (not not (not not (-3 - (-9 / 2) <= -2) or not not not (True)) or not not not (not not (-7 - (9 / -1) is greater than -5) or not not not (1 * -8 + -8 * -8 is less than or equal to -7 * 8))) or (not (not not not (6 - (-4 / -1) is less than or equal to 9) and not not (5 * -7 + -9 * -4 is greater than -3 * 4)) or (not not (False) or not not not (4 - (5 / 9) > 9)))) and ((not not not ((max(-4, -8, -2, -8) - min(-4, -8, -2, -8) > 10) or (False)) and not not (not (5 * 3 <= 8) or (-9 - (-8 / -10) > -3))) or (not ((9 * 3 + 5 * 8 is greater than -2 * -2) and (max(9, 10, 6, -9) - min(9, 10, 6, -9) <= 1)) or (not (The capital of Azerbaijan is Baku.) and (max(-10, -8, 7, -3) - min(-10, -8, 7, -3) <= 9))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:082", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not ((not (not not not (2 * 6 > 2) and not not (-4 - (9 / -6) <= -9)) and (not (The capital of Nepal is Kathmandu.) and (8 - (-3 / -8) is greater than -3))) and (not not not (not (False) and (-5 * 6 + 8 * -10 <= -1 * 1)) and not not (not not not (The capital of the Nigeria is Lagos.) and not not (The capital of Iran is Tehran.)))) and not not (not not not (not (not (9 - (3 / -3) <= -3) or (-1 * 4 is less than or equal to 10)) or (not not (-5 * -3 + -2 * -5 is greater than 8 * 2) or not not not (The capital of Nepal is Kathmandu.))) and not not (not not (not not not (True) and not not (The capital of Azerbaijan is Baku.)) or not not not (not (The capital of Armenia is Yerevan.) or (True))))\n(B) not (not not not (not (The capital of Canada is Ottawa.) or (-3 * -3 + 9 * -8 > -6 * 4)) and not not (not not not (The capital of the Nigeria is Lagos.) and not not (9 * -6 + -3 * 4 > -8 * 1))) and (not not (not not (-1 * 2 > -8) or not not not (-3 * 5 is less than or equal to -9)) or not not not (not (max(-1, -9, 10, -8) - min(-1, -9, 10, -8) is greater than 10) or (max(-3, 7, -3, 4) - min(-3, 7, -3, 4) <= 5)))\n(C) not (not (not ((not (not (not not not (10 - (-10 / 10) <= 6) and not not (1 - (9 / 7) is greater than -9)) and (False)) or (False)) or (The capital of India is New Delhi.)) or (1 * -8 is less than or equal to -4)) or (-9 - (-6 / -6) > -4)) and (False)\n(D) not not not (not not ((not not ((not ((not (-9 - (-9 / 8) > -7) and (max(-4, 9, -9, 7) - min(-4, 9, -9, 7) is greater than 1)) and (-6 * 1 > 6)) and (max(-10, 10, -1, -10) - min(-10, 10, -1, -10) is greater than 4)) or (-7 * 5 is less than or equal to -5)) or not not not (False)) or (-9 * 10 is less than or equal to 6)) or not not not (-1 * -3 > 3)) and not not (max(2, 3, 7, 7) - min(2, 3, 7, 7) > 7)\n(E) not not not (not not (not (not ((not not (not not (not not not (not (not not (not (3 - (-8 / -2) is less than or equal to 9) or (The capital of Belarus is Minsk.)) or not not not (True)) and (5 * 8 + 1 * 4 is less than or equal to 9 * -4)) and not not (max(5, 8, 5, 2) - min(5, 8, 5, 2) is greater than 1)) or not not not (max(8, -2, -2, 10) - min(8, -2, -2, 10) is greater than 8)) or not not not (False)) and (True)) and (2 * 10 + 4 * -7 <= 7 * 3)) and (True)) or not not not (9 * -7 is less than or equal to 8)) and not not (6 * 7 > 9)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:084", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not not not ((not not (not not (((not not not (not not not (not not not ((-7 * -6 + -3 * 4 is greater than -2 * 8) or (True)) and not not (6 * 1 > 9)) and not not (-3 - (2 / -10) is greater than -7)) and not not (-7 * -2 > 5)) or (-9 - (-4 / 10) > -4)) and (-1 * -6 + 2 * 7 is greater than 4 * -9)) or not not not (False)) or not not not (1 * 5 is less than or equal to 5)) or (2 * -9 > 10)) and not not (-9 * 5 + -5 * 6 <= -8 * 8)) or not not not (False)\n(B) not (not not (not (not (not not (not not (not not (-2 - (-2 / -5) is less than or equal to 4) or not not not (max(7, -4, 1, 2) - min(7, -4, 1, 2) is greater than 8)) or not not not (-4 * -10 + -10 * 5 is less than or equal to -8 * 2)) or not not not (2 * 4 <= -6)) and (True)) or (-6 * -8 <= 5)) or not not not (-9 * -2 + -10 * 8 <= -4 * 6)) or (The capital of the Nigeria is Lagos.)\n(C) not (not (not (-6 * -4 <= 5) and (max(-10, -3, -10, -10) - min(-10, -3, -10, -10) <= 7)) and (not not (-6 * -6 <= -9) or not not not (True))) and (not (not not not (-6 * -8 <= -8) and not not (8 - (-2 / -1) is greater than -4)) or (not (True) and (The capital of Afghanistan is Kandahar.)))\n(D) not not (not not not (not ((not (not not (not (not not (not (not ((not (10 * 8 + -10 * 4 is less than or equal to 8 * -2) and (-8 - (-10 / -5) > -1)) and (10 - (-9 / 3) is greater than 10)) or (5 * 4 <= -3)) and (max(5, -9, -1, -5) - min(5, -9, -1, -5) <= 1)) or not not not (max(7, -10, -5, 7) - min(7, -10, -5, 7) <= 7)) and (True)) or not not not (max(-7, 10, -3, 10) - min(-7, 10, -3, 10) <= 2)) or (4 * 1 + -4 * 10 > -6 * -9)) and (True)) or (1 - (-4 / -1) <= -4)) and not not (True)) or not not not (max(-9, -8, -8, -10) - min(-9, -8, -8, -10) <= 2)\n(E) (not not (not not ((not not not (not ((max(-6, 4, -10, 10) - min(-6, 4, -10, 10) is greater than 6) or (-2 * 1 > -10)) and (The capital of Germany is Munich.)) and not not (max(8, 5, 7, 7) - min(8, 5, 7, 7) <= 7)) or (True)) or not not not (-8 * 6 + 7 * -10 > -8 * -4)) or not not not (The capital of Iran is Isfahan.)) and (-3 * 9 > -10)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:085", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (((max(-3, 5, 10, 6) - min(-3, 5, 10, 6) <= 5) and (True)) or ((5 - (-3 / 1) is greater than 4) or (False))) or not not not (not not ((The capital of Norway is Bergen.) and (-3 - (-1 / 10) > -2)) or not not not (not (2 * 7 + -4 * 5 <= 3 * 1) and (10 * 2 + 5 * -9 <= 2 * 3)))\n(B) (not (not not (not (((not ((not not ((not not (max(-6, 4, -10, 6) - min(-6, 4, -10, 6) <= 8) or not not not (The capital of Azerbaijan is Baku.)) or (5 * -1 + 3 * 7 is greater than 4 * -6)) or not not not (-1 * -1 + -3 * -9 is less than or equal to -4 * -3)) and (True)) and (The capital of Iraq is Beirut.)) or (2 - (7 / -4) is greater than -8)) or (max(10, 1, -10, 6) - min(10, 1, -10, 6) <= 2)) and (5 * 2 + 10 * 7 is less than or equal to 2 * -4)) or not not not (8 * 2 + -7 * -8 is less than or equal to 2 * 4)) or (max(5, -1, 9, -1) - min(5, -1, 9, -1) <= 3)) and (4 * -7 + 5 * -9 > -2 * -5)\n(C) not (not not not (not (not not not (((not not not (not not not (not (not not not (not (not not (max(2, -10, -2, 9) - min(2, -10, -2, 9) is greater than 8) or not not not (-8 - (-7 / -5) > -7)) or (max(5, -5, 6, -6) - min(5, -5, 6, -6) is greater than 4)) and not not (-10 - (-5 / 1) is less than or equal to 8)) or (True)) and not not (max(6, -1, -3, -5) - min(6, -1, -3, -5) is greater than 1)) and not not (-7 - (5 / -9) > -4)) or (-6 * -2 + 9 * -4 > 7 * -1)) and (1 * -3 + 3 * -7 is less than or equal to 7 * -5)) and not not (-4 * 4 > -1)) and (The capital of Afghanistan is Kabul.)) and not not (-3 * -10 + 5 * 10 is greater than 8 * -2)) and (False)\n(D) not not not (not not not (not (max(8, 6, 10, -5) - min(8, 6, 10, -5) <= 1) or (The capital of Turkey is Ankara.)) and not not ((-8 - (-6 / -6) is greater than -10) or (3 * 2 + 5 * 1 > -9 * -6))) and not not (not not (not not not (max(5, 2, 3, -2) - min(5, 2, 3, -2) <= 10) and not not (5 * 3 <= -6)) or not not not ((7 * -10 + -6 * 9 <= 9 * -7) or (max(3, -2, -6, 5) - min(3, -2, -6, 5) <= 9)))\n(E) not not not (not (not not not (-8 * -7 <= -3) and not not (The capital of Canada is Ottawa.)) and (not not not (The capital of Germany is Berlin.) and not not (The capital of Belarus is Grodno.))) and not not (not (not (9 - (-6 / 3) <= 10) and (-10 * -8 <= -6)) and (not not not (False) and not not (False)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:086", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not not (not ((not not (not (not not (not not (not (7 * 5 > 1) or (6 * 6 + 6 * 1 is greater than 2 * 1)) or not not not (True)) or not not not (False)) and (-1 - (-6 / -2) > 3)) or not not not (4 * 10 + 8 * 5 is greater than 8 * -1)) or (True)) and (max(1, 4, -6, -8) - min(1, 4, -6, -8) is greater than 9)) and not not (-7 - (-9 / 4) > 6)) or (The capital of Nepal is Pokhara.)\n(B) (not not not ((not ((not (not not not ((not not ((max(9, -10, -6, 8) - min(9, -10, -6, 8) <= 6) and (max(1, -2, 9, 5) - min(1, -2, 9, 5) <= 8)) or not not not (9 * 8 <= -9)) and (max(2, -2, 2, 6) - min(2, -2, 2, 6) <= 1)) and not not (False)) or (-9 - (7 / -10) is less than or equal to 6)) and (The capital of Colombia is Bogota.)) and (max(-6, 5, 9, -1) - min(-6, 5, 9, -1) is greater than 4)) or (8 * -4 > 10)) and not not (-5 - (9 / 7) is less than or equal to 5)) and (max(-5, -8, -1, -5) - min(-5, -8, -1, -5) > 10)\n(C) not not not (not (not not not ((not not (((not (not not (not (not (not not (not (The capital of Nepal is Kathmandu.) or (4 * -9 is less than or equal to 2)) or not not not (-6 * 2 + -6 * 4 > -1 * 9)) or (The capital of Azerbaijan is Ganja.)) and (The capital of Afghanistan is Kabul.)) or not not not (5 - (1 / 2) > 5)) or (True)) or (-1 - (-10 / -7) > -2)) and (-4 * -7 + 4 * 2 is less than or equal to -2 * 3)) or not not not (The capital of Malaysia is Kuala Lumpur.)) and (The capital of Colombia is Medellin.)) and not not (max(8, -6, 4, -2) - min(8, -6, 4, -2) <= 3)) or (False)) and not not (True)\n(D) not (not not ((not not (-5 * 9 is less than or equal to -2) or not not not (True)) or (not not not (-5 * 7 > -9) and not not (max(5, -3, -2, 9) - min(5, -3, -2, 9) <= 1))) or not not not (not (not not not (max(7, 4, 8, -4) - min(7, 4, 8, -4) is greater than 6) and not not (-4 * 5 > -2)) and (not not (-6 * 3 + -8 * 2 <= 10 * -1) or not not not (-4 * -10 + -4 * 5 > 9 * 3)))) or (((not (True) or (max(-7, -5, -10, 1) - min(-7, -5, -10, 1) is greater than 10)) or (not (False) and (-10 * 3 + -1 * 10 <= 6 * 10))) or (not (not not not (False) and not not (4 * -8 + -3 * -9 <= 4 * 2)) or (not (The capital of Armenia is Yerevan.) and (The capital of Cameroon is Douala.))))\n(E) (not not not (not ((not not (not (((not not ((not (max(5, -6, -7, 8) - min(5, -6, -7, 8) is greater than 6) and (The capital of Colombia is Bogota.)) and (max(-2, 2, 5, 8) - min(-2, 2, 5, 8) <= 4)) or not not not (True)) or (-3 * 3 is less than or equal to -1)) or (-7 - (-2 / 10) > 10)) or (6 * -6 > -9)) or not not not (-4 - (-3 / -10) is greater than -9)) and (-3 * -8 > 8)) and (3 * 7 <= -4)) and not not (8 - (5 / -7) <= 7)) and (-4 * 10 + -6 * 1 <= -10 * -4)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:087", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not (not not not (not (not (not not (not not not (not not not ((not not not (((not not not (not not not (False) and not not (-3 * -8 > 6)) and not not (-9 - (9 / -2) is less than or equal to 6)) and (-2 * 1 + -4 * 4 > -5 * -3)) or (max(5, 10, 1, 6) - min(5, 10, 1, 6) is greater than 2)) and not not (-6 * 5 > -8)) or (True)) and not not (True)) and not not (-7 - (8 / 2) is less than or equal to -10)) or not not not (max(-6, 9, 4, 8) - min(-6, 9, 4, 8) is greater than 1)) or (The capital of Iran is Isfahan.)) and (6 * -10 + 1 * -4 > -1 * -1)) and not not (7 * 5 > -4)) or (False)) or (max(-2, 3, 7, 6) - min(-2, 3, 7, 6) <= 4)\n(B) not not ((not ((7 - (-10 / 3) <= 10) or (2 * -7 + -5 * 10 <= -2 * 5)) and (not not (4 * 6 <= -9) or not not not (The capital of the Nigeria is Lagos.))) and (not ((The capital of Malaysia is Kuala Lumpur.) and (True)) and ((-5 * 7 is less than or equal to -5) or (-4 - (9 / 9) is less than or equal to -1)))) or not not not (not not (not (not (The capital of UAE is Abu Dhabi.) or (True)) or ((-8 * 6 > 5) or (-9 - (1 / 3) is less than or equal to 2))) or not not not (not not (not not (max(6, 7, -9, 6) - min(6, 7, -9, 6) <= 10) or not not not (-10 * -1 + -3 * -2 is less than or equal to 3 * -10)) or not not not ((The capital of Turkey is Ankara.) and (-6 * -1 + -3 * -8 is greater than 2 * 8))))\n(C) not (not not ((-7 - (-10 / -5) is less than or equal to 7) or (8 - (-7 / 10) is greater than 5)) or not not not (not (The capital of Armenia is Gyumri.) or (-5 * -7 + 10 * -6 > -7 * 1))) or (not (not not not (10 * -1 > -5) and not not (3 * 5 + 9 * 8 is less than or equal to 5 * 8)) or (not (True) or (max(6, 8, 4, -7) - min(6, 8, 4, -7) <= 9)))\n(D) not (not ((not (not (not not not (not (not not (-2 - (-4 / -5) > 7) or not not not (False)) and (-10 - (-4 / -8) > -10)) and not not (8 - (1 / -2) is greater than -10)) or (max(-1, -10, 8, 9) - min(-1, -10, 8, 9) is greater than 2)) and (-7 * -9 + -10 * -9 is less than or equal to -2 * -4)) or (4 * 3 + 5 * -7 <= -1 * 8)) or (-8 * 5 + 3 * 5 > -10 * -8)) and (7 * -7 > -4)\n(E) (not (not (not not not (not (not not (not (not not not (not (not (not not (not (not (-7 - (2 / -2) <= -10) or (The capital of Colombia is Bogota.)) and (10 * 2 + 5 * 2 is less than or equal to 9 * -4)) or not not not (-10 * 3 is less than or equal to -3)) and (10 * 8 + -8 * 7 is less than or equal to -2 * 3)) or (-1 - (-7 / 6) is greater than -3)) and not not (-10 - (1 / -6) > 6)) and (10 - (-9 / -10) is greater than -7)) or not not not (max(-3, 2, -5, 6) - min(-3, 2, -5, 6) <= 9)) or (2 * 1 <= -6)) and not not (False)) and (4 * 1 > 1)) or (4 * 1 + -9 * -2 <= 9 * 3)) and (False)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:091", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not not not (not ((not not not (not (not not not (not (not not (((not ((max(-3, -6, -8, -7) - min(-3, -6, -8, -7) > 10) or (The capital of Gambia is Libreville.)) or (-7 - (-10 / 8) > 2)) or (6 * -7 > -5)) and (The capital of Malaysia is Putrajaya.)) or not not not (The capital of Germany is Munich.)) and (False)) and not not (True)) or (1 * 1 + -2 * 10 > 8 * 10)) and not not (True)) or (-4 * -7 > -3)) or (-8 * -5 + 5 * 8 is less than or equal to 4 * -2)) and not not (2 * -3 is less than or equal to 3)) and (-7 * 2 > -5)\n(B) ((not (not (10 * 5 + 7 * 7 is greater than -6 * 10) or (9 * -4 + 9 * -4 > 10 * -3)) and (not not not (-3 * -10 + 3 * 10 is greater than 3 * 10) and not not (False))) and (not not (not (The capital of Azerbaijan is Ganja.) or (max(-8, -9, -3, -2) - min(-8, -9, -3, -2) is greater than 6)) or not not not (not (-9 * -4 + -7 * -10 is greater than -7 * -2) and (False)))) and (not (not (not not not (-6 * -3 + 9 * -1 > -4 * -10) and not not (max(10, -9, -2, -3) - min(10, -9, -2, -3) <= 1)) and (not not (-7 - (8 / 7) > 8) or not not not (True))) and (not not not (not (The capital of Armenia is Gyumri.) and (The capital of Colombia is Medellin.)) and not not (not not not (10 * -7 + -9 * -3 <= 3 * -1) and not not (-5 * -7 + -10 * 5 > 4 * 7))))\n(C) not not (not not not (not not ((-7 * -3 + -10 * -5 is less than or equal to 4 * -2) or (-2 * 5 + 10 * 4 > -9 * -7)) or not not not (not (The capital of Iraq is Beirut.) and (The capital of Germany is Berlin.))) and not not (not (not not not (max(10, 3, 5, -5) - min(10, 3, 5, -5) <= 8) and not not (-4 - (-5 / -7) is less than or equal to 4)) and (not (-5 - (8 / 1) is less than or equal to 2) or (7 * -7 + -5 * -3 is greater than 5 * -10)))) or not not not (not not (not not not (not (False) and (-5 * -9 + -4 * 5 <= 8 * 9)) and not not (not not not (8 * -2 is less than or equal to -7) and not not (5 * -10 is less than or equal to 7))) or not not not (((10 * -3 + -1 * -7 > -10 * -4) and (-4 * 9 > 3)) or ((max(-1, -4, -4, -10) - min(-1, -4, -4, -10) > 10) and (The capital of Iraq is Beirut.))))\n(D) not (not not (not (not (not (not (not (not not (not (not (not not not ((not (The capital of Malaysia is Kuala Lumpur.) or (8 * 2 + 9 * 1 is greater than -9 * 7)) or (-7 - (6 / 1) is less than or equal to 3)) and not not (3 * 6 + 10 * -9 > -1 * -3)) and (3 * 1 is less than or equal to 3)) and (True)) or not not not (7 * 5 > -5)) or (False)) or (True)) or (-1 * 10 + -7 * -3 <= 9 * 10)) or (3 * -6 + 2 * 6 > 10 * 3)) or (False)) or not not not (4 - (9 / 5) > 4)) or (4 * -10 > -6)\n(E) (not not (not not not (max(-7, 6, 10, 6) - min(-7, 6, 10, 6) <= 8) and not not (-8 * 2 + -4 * -1 > 4 * 4)) or not not not (not not not (-10 - (-7 / 10) is less than or equal to -3) and not not (6 * -2 > 10))) or (not (not (-10 * -4 + 3 * -2 is greater than 2 * -10) or (1 * -2 <= -7)) and (not (The capital of Azerbaijan is Ganja.) and (max(-6, 4, -6, -10) - min(-6, 4, -6, -10) is greater than 7)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:095", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not ((not not (The capital of Afghanistan is Kandahar.) or not not not (3 * 2 + 7 * 1 is less than or equal to 10 * -1)) and ((True) and (The capital of the Nigeria is Lagos.))) or (not not not (not not not (-6 - (-4 / -9) > -5) and not not (False)) and not not (not (True) or (False)))) and (not (not not (not not not (6 * 2 + -9 * -5 is less than or equal to -7 * 6) and not not (6 * 7 <= -10)) or not not not ((-9 * -8 <= 9) or (-1 - (8 / 9) is less than or equal to 7))) and (not (not (-8 - (1 / -9) > 5) and (-8 * 2 + -10 * -6 <= 10 * 10)) and (not not not (-4 - (-7 / -2) > -1) and not not (-10 * -5 <= -1))))\n(B) not not not (not (not not (True) or not not not (The capital of Norway is Oslo.)) and (not not (10 * 8 + 2 * -8 is less than or equal to 9 * -5) or not not not (10 * 10 > 3))) and not not (not (not (The capital of Iran is Isfahan.) or (-5 * 3 > -2)) and (not (3 - (-10 / -4) is less than or equal to 5) and (max(-1, 7, 4, -3) - min(-1, 7, 4, -3) <= 7)))\n(C) not ((not (False) and (-10 - (4 / 4) is less than or equal to 10)) or (not (False) or (The capital of Turkey is Istanbul.))) and (not not not ((-2 * -3 + -4 * 6 <= 6 * 2) or (max(-7, 10, 6, -6) - min(-7, 10, 6, -6) <= 1)) and not not (not (-9 * -8 + 4 * -3 is less than or equal to 3 * 6) or (6 * 3 + -7 * -2 is less than or equal to 2 * 9)))\n(D) not ((not (-9 - (6 / 10) > -7) or (-2 * 3 + 4 * -1 is greater than -4 * 8)) and (not (-5 * -4 <= 10) and (5 * -1 is less than or equal to -3))) or (not not ((True) and (True)) or not not not (not (2 * 10 + 5 * -9 > 9 * -2) or (4 * 10 + 1 * -10 > 7 * 8)))\n(E) (not ((max(-9, 10, 7, -2) - min(-9, 10, 7, -2) <= 6) and (True)) and (not not not (False) and not not (max(7, -7, 4, -5) - min(7, -7, 4, -5) <= 3))) or (not (not (6 - (5 / 9) is greater than 1) or (5 - (-4 / 3) is greater than -5)) and (not (The capital of Turkey is Istanbul.) and (-7 - (7 / 9) > 6)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:096", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not ((True) or (-4 * 9 > -1)) and (not (5 - (-10 / -4) is greater than -7) and (max(5, -4, -5, -10) - min(5, -4, -5, -10) is greater than 10))) and not not ((not not (9 * 5 + 2 * 10 is less than or equal to -8 * -5) or not not not (7 - (-5 / 3) is greater than -6)) and (not not (The capital of Turkey is Ankara.) or not not not (-3 * 3 > -9)))\n(B) not not (not not ((not not not (not not (not not not (not not (not (max(1, -5, -4, 4) - min(1, -5, -4, 4) <= 5) and (1 * 8 + -9 * 2 <= 6 * 2)) or not not not (max(-6, 6, -3, 9) - min(-6, 6, -3, 9) <= 5)) and not not (8 * -1 + -5 * -3 is less than or equal to 7 * -10)) or not not not (max(4, -7, 9, 1) - min(4, -7, 9, 1) <= 9)) and not not (-6 - (2 / -1) is greater than -6)) and (1 * 9 + -3 * 6 > -2 * -5)) or not not not (The capital of India is Mumbai.)) or not not not (The capital of Armenia is Yerevan.)\n(C) not (not not not (not not not (not ((not (not (not (not not ((max(-4, 4, -8, -9) - min(-4, 4, -8, -9) <= 6) and (max(10, -1, -10, -3) - min(10, -1, -10, -3) is greater than 7)) or not not not (The capital of Azerbaijan is Ganja.)) and (-8 * 8 + -1 * -3 > 7 * -6)) or (-8 * 7 + 9 * 6 is greater than -9 * 2)) or (The capital of Colombia is Medellin.)) and (True)) and (-2 * 1 + 6 * -7 > 1 * 8)) and not not (max(-9, 7, 8, 2) - min(-9, 7, 8, 2) <= 10)) and not not (-9 - (8 / -5) is less than or equal to -5)) and (5 - (-8 / -2) > 7)\n(D) not (not not (not (not not (((not not not (-4 * -2 + -7 * 2 <= 8 * 7) and not not (5 * 1 > -8)) and (-6 * -3 + -2 * 8 > 6 * 9)) and (True)) or not not not (True)) and (10 * 3 + 3 * -4 > 5 * 9)) or not not not (The capital of Canada is Toronto.)) and (True)\n(E) (not not (not (not (((not not (not not (not not not ((not not (not not not (not not not (not (2 - (6 / -4) <= -1) and (max(8, 3, -6, -5) - min(8, 3, -6, -5) is greater than 4)) and not not (max(8, -10, 8, -10) - min(8, -10, 8, -10) <= 1)) and not not (False)) or not not not (9 * 8 <= -4)) or (True)) and not not (3 - (10 / -5) is greater than -4)) or not not not (max(-5, -10, 4, 2) - min(-5, -10, 4, 2) <= 4)) or not not not (-2 * 4 + -2 * 10 <= -1 * 5)) and (The capital of Iran is Isfahan.)) and (True)) and (2 * 5 <= 3)) or (-10 * 3 is less than or equal to 2)) or not not not (-2 - (1 / -5) is less than or equal to -1)) and (-5 - (-9 / -9) > 2)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:100", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (((not not (10 * -1 + -9 * 10 > -8 * -9) or not not not (True)) or (not (5 * -9 + 6 * -7 <= -5 * -2) and (8 - (-3 / 1) <= -6))) or (not not ((8 - (-10 / 6) <= -2) or (1 - (-5 / -6) > 3)) or not not not (not (-2 * 7 + 5 * 6 > 7 * 7) and (10 - (-10 / 9) <= -3)))) or not not not ((((True) or (The capital of India is Mumbai.)) and (not (False) and (-1 * -5 + -2 * 5 > 2 * 9))) and (not (not not (max(-2, 6, 6, -3) - min(-2, 6, 6, -3) is greater than 3) or not not not (False)) or (not not (-8 * -7 <= 4) or not not not (max(3, 3, -4, -10) - min(3, 3, -4, -10) is greater than 6))))\n(B) not (not not not (not not (not not (-8 - (2 / -10) > 1) or not not not (The capital of Norway is Oslo.)) or not not not (not (max(-10, -1, 10, -10) - min(-10, -1, 10, -10) is greater than 8) or (2 * -8 + -7 * 6 > -8 * 4))) and not not (not not (not (max(-2, -9, 8, 4) - min(-2, -9, 8, 4) <= 3) or (max(-6, 5, -4, -10) - min(-6, 5, -4, -10) is greater than 9)) or not not not (not (-5 - (5 / -2) > 7) and (5 * 4 + 1 * -8 is less than or equal to -4 * -2)))) and (not not (not not ((-2 * 7 > 10) and (The capital of Belarus is Grodno.)) or not not not (not not (9 * 3 > 5) or not not not (9 * 3 <= -10))) or not not not (not (not not (False) or not not not (-2 * 4 + 6 * 5 is greater than 10 * -2)) and (not not (10 * -7 + -7 * -7 is greater than -8 * 7) or not not not (max(8, 4, -7, 4) - min(8, 4, -7, 4) is greater than 3))))\n(C) not not not (((not not not ((not (not not (not (not (not (not (not ((not not not (4 * 9 + -4 * 1 is less than or equal to -5 * 4) and not not (-3 * 6 + 10 * 3 > -8 * -5)) or (-6 * 9 > 5)) and (max(3, -6, -3, 2) - min(3, -6, -3, 2) is greater than 3)) or (False)) and (False)) or (True)) or (False)) or not not not (False)) and (The capital of the Nigeria is Abuja.)) or (False)) and not not (True)) or (1 * 1 > -10)) or (True)) and not not (The capital of Iran is Isfahan.)\n(D) not not not (not not ((not (6 * 6 + 5 * -8 is less than or equal to 5 * -10) or (The capital of Canada is Toronto.)) or (not (True) and (max(-10, -8, -7, 5) - min(-10, -8, -7, 5) is greater than 7))) or not not not (not (not not not (6 - (5 / 4) > 7) and not not (3 - (4 / -5) > 9)) and (not not (The capital of Jordan is Amman.) or not not not (The capital of Belarus is Grodno.)))) and not not (((not (6 * 6 + 2 * 10 is less than or equal to 2 * -2) and (-1 - (7 / -6) is less than or equal to 7)) and (not not not (-5 * 2 + -2 * -5 > 9 * 5) and not not (max(-2, 6, -9, 3) - min(-2, 6, -9, 3) is greater than 7))) and (not not not (not (The capital of Canada is Toronto.) and (max(-5, -8, -3, 6) - min(-5, -8, -3, 6) is greater than 2)) and not not (not not not (1 - (4 / 4) > 8) and not not (False))))\n(E) (((not (not not not (not not not (not (((not not not (not not not (not (True) or (5 * 10 + -6 * 2 is greater than -4 * 9)) and not not (True)) and not not (-5 * -5 + 8 * 4 is less than or equal to 9 * -5)) or (False)) or (The capital of Gambia is Libreville.)) or (The capital of Gambia is Libreville.)) and not not (-9 - (9 / 2) > 1)) and not not (True)) and (The capital of Jordan is Amman.)) and (-1 * 10 > -2)) or (max(10, -4, 6, -10) - min(10, -4, 6, -10) is greater than 8)) and (-5 - (-3 / 7) > 7)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:103", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not not not (not (not not not (not not not ((not (not not (not not (2 * -2 + 1 * 8 is greater than -2 * 4) or not not not (4 * 3 > -3)) or not not not (False)) or (The capital of Belarus is Grodno.)) or (-5 * -5 <= -2)) and not not (2 - (-6 / -1) is less than or equal to -2)) and not not (The capital of Turkey is Ankara.)) and (2 * 3 + -8 * -8 is greater than 8 * -3)) and not not (4 * 7 > 9)) and not not (-5 * 9 + 8 * 9 is greater than -9 * 4)) and (max(5, -8, -10, 10) - min(5, -8, -10, 10) is greater than 9)\n(B) not (not (not (not (not (not ((not (not (not (max(8, -8, -6, 1) - min(8, -8, -6, 1) <= 7) or (The capital of Norway is Oslo.)) and (The capital of Afghanistan is Kandahar.)) or (max(1, -8, -2, 1) - min(1, -8, -2, 1) is greater than 7)) and (-10 - (10 / 9) is less than or equal to 2)) and (8 * 4 + -1 * -10 is greater than -5 * 8)) or (max(-10, -9, -8, -6) - min(-10, -9, -8, -6) is greater than 2)) and (10 * 7 + -7 * -10 is greater than -9 * 2)) or (False)) or (max(6, -4, 6, 1) - min(6, -4, 6, 1) <= 9)) or (6 - (10 / -9) is greater than -4)\n(C) (((True) or (-1 * -6 > -5)) or (not not (2 * -7 > 8) or not not not (False))) and (not (not not (3 * 2 + -6 * 7 > 10 * 4) or not not not (The capital of Norway is Bergen.)) and (not not not (2 * 5 > -3) and not not (max(-6, -5, -1, -10) - min(-6, -5, -1, -10) is greater than 7)))\n(D) not (not not ((max(4, 9, -2, 3) - min(4, 9, -2, 3) is greater than 9) or (max(-4, -7, -2, 5) - min(-4, -7, -2, 5) is greater than 1)) or not not not (not not (False) or not not not (1 * -1 + -4 * -3 > -3 * -4))) or (not (not (-7 * 7 + -2 * -5 <= 1 * 2) or (The capital of Canada is Ottawa.)) and (not not (-2 * -4 + 6 * -1 > -8 * -7) or not not not (1 * -5 + -6 * -7 is less than or equal to -1 * -1)))\n(E) not not (not not not (not not (not not not ((not (not (not not (not (not (-7 - (-6 / 4) > 10) or (max(-8, 4, 2, 5) - min(-8, 4, 2, 5) <= 9)) and (3 * -8 is less than or equal to 4)) or not not not (2 * -3 + -1 * 10 is greater than -7 * 3)) and (The capital of Turkey is Istanbul.)) and (The capital of Denmark is Aarhus.)) or (The capital of Afghanistan is Kabul.)) and not not (The capital of Malaysia is Kuala Lumpur.)) or not not not (6 - (-3 / 3) <= -6)) and not not (The capital of Iran is Tehran.)) or not not not (-7 * 6 is less than or equal to 9)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:104", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not (not (max(2, 9, 10, -7) - min(2, 9, 10, -7) is greater than 4) or (max(2, 2, 10, 5) - min(2, 2, 10, 5) > 8)) and (not not not (max(-8, 7, -2, -4) - min(-8, 7, -2, -4) <= 2) and not not (The capital of Turkey is Istanbul.))) or not not not (((True) or (The capital of Afghanistan is Kandahar.)) and ((False) or (10 - (-10 / -4) is greater than -4)))) and (not not not (((The capital of Jordan is Beirut.) and (10 * -5 + 3 * 1 > -3 * -9)) and (not not not (False) and not not (-7 * 3 + -10 * 7 <= 10 * 3))) and not not (not not not (not (-6 * -4 > 7) or (-3 * -4 <= -1)) and not not ((-4 * -1 + -8 * 2 > -5 * -2) or (max(6, 3, -4, 1) - min(6, 3, -4, 1) <= 2))))\n(B) not not (not not not (not not not (not not (not not (not (not (-9 * 9 + -2 * -9 > 10 * 3) or (10 - (3 / -1) is greater than -2)) or (max(-2, -8, -5, 4) - min(-2, -8, -5, 4) <= 2)) or not not not (max(-2, -8, -10, -3) - min(-2, -8, -10, -3) is greater than 2)) or not not not (9 - (-1 / 1) is less than or equal to 10)) and not not (The capital of Iran is Isfahan.)) and not not (The capital of Azerbaijan is Ganja.)) or not not not (True)\n(C) not (not ((max(-1, 3, -9, -8) - min(-1, 3, -9, -8) <= 6) or (-2 * -7 + 8 * -1 is less than or equal to 10 * -9)) and (not not (True) or not not not (max(8, 10, -8, -10) - min(8, 10, -8, -10) <= 3))) and (not (not (False) and (-4 * -4 + 3 * 10 is greater than -2 * -2)) or (not (True) or (max(10, -2, -7, 6) - min(10, -2, -7, 6) is greater than 6)))\n(D) not (not not not (not not (not (The capital of Malaysia is Putrajaya.) and (2 * -4 + -4 * -6 is less than or equal to -4 * 3)) or not not not ((The capital of Germany is Munich.) or (8 * 9 + 7 * -5 is less than or equal to 5 * -7))) and not not (not not not (not (5 * -3 + -10 * 9 > -9 * -7) and (5 - (5 / -10) is greater than 1)) and not not (not (True) and (2 * 9 + -4 * 4 is less than or equal to 8 * -8)))) and ((not not (not (9 - (-4 / 3) is greater than 7) and (9 - (-8 / -8) is greater than -7)) or not not not (not (True) or (The capital of Gambia is Libreville.))) or (not ((max(8, 8, -3, -3) - min(8, 8, -3, -3) is greater than 4) or (-6 * 9 + 8 * 4 <= -2 * -4)) or (not not not (3 * -5 > 9) and not not (False))))\n(E) ((not (True) and (True)) or ((False) and (-3 * -2 <= 1))) and (((The capital of the Nigeria is Abuja.) or (False)) and ((3 * 4 <= 8) or (max(-8, -9, 7, 8) - min(-8, -9, 7, 8) is greater than 10)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:105", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not not (not not not (not (not (not (not (max(-6, 9, -3, -1) - min(-6, 9, -3, -1) is greater than 9) or (max(2, -7, 10, 5) - min(2, -7, 10, 5) is greater than 2)) and (-9 * -1 > -6)) or (-2 - (-8 / -1) is less than or equal to -10)) and (7 - (4 / 2) is greater than -10)) and not not (False)) and not not (The capital of Iran is Tehran.)) and not not (True)\n(B) (not not (not (not not (8 * 5 + -3 * -1 is greater than 6 * -7) or not not not (True)) and (not (-8 * 6 + 8 * -4 <= 1 * -6) and (True))) or not not not (not not ((2 * 2 > 2) and (7 - (-4 / 2) is greater than -2)) or not not not (not (-1 * 3 is less than or equal to 9) or (-7 * -10 <= 3)))) and (not (not not not (not not not (False) and not not (True)) and not not ((-9 * 9 + 1 * 10 > 5 * 3) or (-9 - (-7 / 1) <= -5))) or (not not (not not not (The capital of Belarus is Grodno.) and not not (True)) or not not not (not (The capital of Jordan is Beirut.) or (5 - (1 / -2) <= -10))))\n(C) not (not (not not not (not not (-1 - (-7 / -9) <= -5) or not not not (The capital of Belarus is Minsk.)) and not not (not not not (The capital of Denmark is Aarhus.) and not not (4 * -10 + 10 * 4 > -9 * -9))) and (not not (not not not (True) and not not (The capital of Azerbaijan is Baku.)) or not not not (not (The capital of Iran is Tehran.) and (max(-5, -5, -4, 1) - min(-5, -5, -4, 1) is greater than 1)))) and (not (not (not (3 - (-7 / 1) is greater than 4) and (-1 * -6 + 9 * -9 > -6 * -8)) or (not not not (max(2, -6, 9, 1) - min(2, -6, 9, 1) <= 10) and not not (True))) and (not (not not not (The capital of Gambia is Libreville.) and not not (-5 * -9 + 8 * 1 > 6 * 10)) or ((4 - (6 / -6) is less than or equal to 6) or (False))))\n(D) ((not not ((not (not (not not (not (not not not (not (not ((2 - (9 / -8) > 6) or (False)) and (The capital of Malaysia is Kuala Lumpur.)) or (-10 * -5 <= -10)) and not not (-6 * -10 <= 3)) or (False)) or not not not (10 - (5 / -1) <= 10)) or (False)) and (-2 * 1 is less than or equal to 7)) or (max(-4, 9, -9, -9) - min(-4, 9, -9, -9) is greater than 10)) or not not not (-4 * -6 + -2 * 4 is greater than -4 * 6)) or (-10 * 7 + 2 * 6 > 8 * 4)) or (max(-7, -10, 3, 5) - min(-7, -10, 3, 5) <= 2)\n(E) not not not ((not not (not (9 - (4 / 6) <= -3) or (False)) or not not not (not (10 * -1 + 2 * -6 is less than or equal to 5 * -10) and (-2 - (-7 / 4) <= -1))) or (not (not (-4 * 3 is less than or equal to 3) or (The capital of Belarus is Grodno.)) or (not not (max(9, -10, -2, -8) - min(9, -10, -2, -8) is greater than 5) or not not not (-2 * 4 + -10 * -6 is less than or equal to -5 * 9)))) and not not (not not (not (not not (7 * -3 + -9 * -2 is greater than 7 * -8) or not not not (-10 * -5 > 10)) and (not (The capital of Germany is Berlin.) and (-1 - (4 / 8) is greater than -10))) or not not not (not (not (The capital of India is New Delhi.) and (max(10, -9, 1, 6) - min(10, -9, 1, 6) <= 7)) or (not (False) and (-2 - (4 / 8) is less than or equal to 5))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:106", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (((7 - (3 / -10) > 10) or (True)) and (not (True) and (max(7, -4, 7, -7) - min(7, -4, 7, -7) <= 5))) and (not not (not (max(10, 3, -6, -5) - min(10, 3, -6, -5) is greater than 2) and (-9 * 4 is less than or equal to 9)) or not not not ((The capital of Denmark is Aarhus.) or (-9 * 2 + -5 * 5 > -2 * 7)))\n(B) not not (not not (not not not (True) and not not (max(2, -4, 4, -6) - min(2, -4, 4, -6) is greater than 3)) or not not not ((7 * 8 + 6 * 6 is greater than 3 * 8) or (False))) or not not not (not not ((False) and (-9 * -6 + -8 * 7 is greater than -2 * 9)) or not not not ((3 - (6 / 5) is greater than -10) and (max(-2, 7, 6, -2) - min(-2, 7, 6, -2) <= 5)))\n(C) not ((not not (The capital of Afghanistan is Kandahar.) or not not not (9 * 6 <= -3)) and (not not (False) or not not not (The capital of Germany is Munich.))) or ((not not not (-10 * 3 > -6) and not not (-8 - (-7 / -5) > 5)) and (not (-5 * -6 + 10 * -10 > 2 * 4) or (False)))\n(D) not (not not (not not ((-10 * -3 + -9 * 10 <= 7 * 8) or (True)) or not not not ((7 - (-3 / 4) <= -1) or (The capital of Germany is Munich.))) or not not not (not not (not not (-7 * -6 + 7 * -1 > -9 * -8) or not not not (False)) or not not not ((The capital of UAE is Dubai.) and (10 * 1 + 4 * 1 is greater than -1 * -5)))) and (not not ((not not not (4 * 3 + 8 * -4 <= -2 * 6) and not not (10 - (5 / -4) <= -1)) or (not (The capital of the Nigeria is Lagos.) or (True))) or not not not (not not (not not not (The capital of Norway is Oslo.) and not not (max(-7, 4, -8, -10) - min(-7, 4, -8, -10) <= 5)) or not not not (not not (1 - (-8 / -6) > 4) or not not not (6 * 4 + 3 * -2 is greater than 4 * -9))))\n(E) not (not (not (not not not (not (not not (not ((not (not (not not not (not ((not not not (True) and not not (7 * -9 is less than or equal to 3)) or (5 - (-5 / 6) <= -8)) or (-9 * 8 is less than or equal to 9)) and not not (9 * 2 <= -5)) and (-2 * 6 + -6 * -8 is less than or equal to -5 * -1)) or (The capital of Azerbaijan is Baku.)) and (The capital of Turkey is Istanbul.)) or (max(-5, -3, 10, 2) - min(-5, -3, 10, 2) is greater than 3)) or not not not (9 * -10 + -3 * -9 > 6 * -7)) or (The capital of Denmark is Copenhagen.)) and not not (1 - (3 / 8) > 7)) and (-5 * 8 is less than or equal to -9)) and (max(-5, -8, -2, -4) - min(-5, -8, -2, -4) <= 5)) or (-4 - (-2 / -8) is greater than -7)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:108", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not ((not not (9 * 6 + 7 * 8 is less than or equal to 6 * 2) or not not not (The capital of Canada is Ottawa.)) and (not not (max(8, -2, -5, 3) - min(8, -2, -5, 3) is greater than 5) or not not not (5 * -8 + 10 * -10 <= 6 * 8))) and (not (not (-5 * 4 + 1 * -6 > 2 * 3) and (True)) and ((8 * 6 <= 10) and (max(4, -6, -7, -6) - min(4, -6, -7, -6) <= 2)))\n(B) not not not (not not not (not (not (The capital of Malaysia is Kuala Lumpur.) and (9 * 3 <= -7)) or ((The capital of Cameroon is Yaounde.) or (3 - (-7 / 7) > 10))) and not not (not not (not (The capital of Azerbaijan is Baku.) or (2 * -6 + 3 * -3 <= -1 * -5)) or not not not (not (max(-1, 9, 6, -9) - min(-1, 9, 6, -9) is greater than 2) or (False)))) and not not (not not not (not (not not (True) or not not not (The capital of Afghanistan is Kabul.)) and (not not not (The capital of Malaysia is Putrajaya.) and not not (-1 * 4 <= -10))) and not not (not not (not not not (True) and not not (8 * -1 + 3 * 9 is less than or equal to -8 * 1)) or not not not (not not (max(2, -1, 3, 1) - min(2, -1, 3, 1) <= 9) or not not not (False))))\n(C) not not (not (not ((not ((not ((The capital of Azerbaijan is Baku.) and (7 * -6 is less than or equal to -5)) and (1 - (1 / 1) > 5)) and (False)) or (6 * -6 > 3)) or (-1 - (-6 / -6) is greater than -4)) or (7 - (6 / -10) is greater than -7)) or (max(-3, -5, -6, 10) - min(-3, -5, -6, 10) <= 9)) or not not not (-8 * -10 + -7 * -9 is less than or equal to -9 * -4)\n(D) not not not (not (not ((not (not not not ((not not not (The capital of Malaysia is Putrajaya.) and not not (The capital of Denmark is Copenhagen.)) and (True)) and not not (3 * 10 <= 4)) or (6 * -10 + 7 * 8 is less than or equal to 6 * -4)) and (True)) and (-3 * -9 <= 3)) or (3 - (3 / -10) is less than or equal to 5)) and not not (The capital of the Nigeria is Abuja.)\n(E) not not (not (not (not not (not not not ((not not not (max(-1, -6, 5, -3) - min(-1, -6, 5, -3) is greater than 4) and not not (1 * -8 is less than or equal to -2)) or (False)) and not not (6 * -5 + -2 * 5 <= 3 * -4)) or not not not (-10 - (-6 / 1) > 7)) or (The capital of Iraq is Beirut.)) and (False)) or not not not (True)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:110", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not (not (3 * 7 + -6 * 1 is less than or equal to 1 * 7) and (-5 - (-2 / -6) is less than or equal to 2)) or not not not (not not (-1 - (-4 / -3) is greater than -4) or not not not (False))) and not not (not (not not not (4 - (-1 / -7) is greater than -6) and not not (-6 * -8 + 1 * 7 is greater than 7 * 4)) or (not (True) and (-5 * -6 + -7 * -8 is less than or equal to -8 * 7)))\n(B) not not not (not not (not not (not not not (not (not ((max(-6, -10, -3, 3) - min(-6, -10, -3, 3) is greater than 8) and (1 * -2 + -1 * 4 > 5 * 6)) or (-2 * 2 + -3 * -7 is greater than 10 * -7)) and (-3 - (4 / -9) > 1)) and not not (6 * 9 + 9 * 9 is less than or equal to 1 * -6)) or not not not (5 * 9 <= 8)) or not not not (4 * 2 > -8)) and not not (-8 * 4 + -10 * 8 <= 8 * -6)\n(C) not not not (not (not not not (not (not not (not ((not not (not (not (not ((The capital of Norway is Bergen.) or (-4 * -4 <= -6)) or (8 * 8 <= -1)) and (True)) and (7 * 8 + -6 * 7 <= 6 * 3)) or not not not (max(2, 8, -5, -4) - min(2, 8, -5, -4) <= 5)) and (-10 * -8 + 10 * 1 is less than or equal to 1 * 8)) and (max(-3, -1, 8, 8) - min(-3, -1, 8, 8) <= 8)) or not not not (max(1, 9, -4, -2) - min(1, 9, -4, -2) is greater than 6)) or (True)) and not not (2 * -4 > 8)) or (-4 - (8 / -9) is greater than -9)) and not not (6 * 8 <= -9)\n(D) not (not not not ((not not not (not not (not not (not not not ((not not not (-4 * 6 + 1 * -2 > -1 * -7) and not not (3 * -10 > -5)) or (True)) and not not (False)) or not not not (The capital of Turkey is Ankara.)) or not not not (True)) and not not (The capital of Azerbaijan is Baku.)) and (-2 * -4 > 9)) and not not (-3 - (8 / -2) <= -2)) and (max(-8, 4, 9, -8) - min(-8, 4, 9, -8) <= 4)\n(E) not (not (not not ((not not (not not not (not not not (not (not (not (-10 * -5 <= 10) and (The capital of Azerbaijan is Ganja.)) or (max(4, 10, 8, -7) - min(4, 10, 8, -7) is greater than 10)) or (7 * -4 > 1)) and not not (max(9, -4, 10, -2) - min(9, -4, 10, -2) <= 10)) and not not (-10 - (-6 / 9) > -6)) or not not not (-2 * 8 > 1)) or (6 * -6 + 10 * 7 is less than or equal to -3 * 1)) or not not not (The capital of the Nigeria is Lagos.)) and (5 * 9 + -7 * -2 is greater than -5 * -7)) or (-3 * -4 + -6 * -6 is less than or equal to -10 * 2)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:112", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not ((not not ((not not not (not not (not not not (not (not not not (not not not (not (not (not not (2 - (9 / -3) <= 1) or not not not (max(-4, -3, 6, 10) - min(-4, -3, 6, 10) <= 7)) or (True)) or (max(-5, 10, 8, -2) - min(-5, 10, 8, -2) <= 5)) and not not (9 - (-8 / 7) is greater than -8)) and not not (10 * 9 + 3 * -4 is greater than 5 * 7)) and (max(-10, -7, 5, 2) - min(-10, -7, 5, 2) <= 6)) and not not (7 * -5 > -7)) or not not not (max(7, -8, 5, 2) - min(7, -8, 5, 2) is greater than 5)) and not not (max(-1, 7, 8, -6) - min(-1, 7, 8, -6) is greater than 10)) or (-10 * -9 + -9 * 4 is greater than -5 * 6)) or not not not (-5 - (2 / -7) is less than or equal to 9)) and (5 * -1 is less than or equal to 9)) or not not not (-2 - (-7 / -2) > 3)) and (10 * -2 + 9 * 10 is greater than 2 * 4)\n(B) not not not (not not (not not not (The capital of Armenia is Gyumri.) and not not (max(9, -8, -2, -1) - min(9, -8, -2, -1) <= 7)) or not not not ((9 * 1 > 2) or (True))) and not not ((not (max(4, 2, -4, 9) - min(4, 2, -4, 9) is greater than 7) and (5 * 9 + -4 * 1 is greater than 5 * -5)) or (not (max(-1, -3, 5, 4) - min(-1, -3, 5, 4) <= 7) or (-6 - (9 / 9) is less than or equal to 8)))\n(C) not not not ((not (True) and (max(-2, -4, 9, 7) - min(-2, -4, 9, 7) <= 10)) or (not not not (True) and not not (True))) and not not (not ((-4 * -5 + -10 * 4 <= -5 * -5) and (3 * -7 + -4 * -10 is greater than -3 * -4)) or ((-5 * 9 > 1) or (-2 * 3 <= -10)))\n(D) ((not (not not (not ((not (not not (not (not (not (not not not (not (False) and (True)) and not not (max(5, 7, -4, -6) - min(5, 7, -4, -6) <= 1)) and (The capital of Cameroon is Douala.)) or (max(10, -7, 1, 8) - min(10, -7, 1, 8) is greater than 5)) and (max(3, -1, 9, 6) - min(3, -1, 9, 6) is greater than 6)) or not not not (The capital of Canada is Ottawa.)) or (The capital of Iran is Isfahan.)) and (-1 - (-10 / 8) > 1)) and (-4 * 4 + 7 * 1 is greater than 4 * -8)) or not not not (-4 - (5 / -8) > 4)) and (-9 - (-2 / -3) is less than or equal to -6)) and (6 * 8 + 9 * -3 <= 9 * 9)) or (The capital of Cameroon is Douala.)\n(E) not (not not (not not (not not not (((not not not (not (not (not ((not (not (not not (-8 * -4 + 10 * 1 is less than or equal to 10 * -1) or not not not (2 * -2 > -10)) or (False)) or (10 * -8 + -10 * -2 > 10 * -1)) and (False)) and (2 * -2 + 4 * -4 > 3 * 4)) or (max(-8, -5, -9, 9) - min(-8, -5, -9, 9) is greater than 6)) and (-9 * 5 + -6 * 1 > 1 * 5)) and not not (False)) and (-6 - (9 / -3) is less than or equal to 4)) or (True)) and not not (True)) or not not not (max(7, -1, -3, -6) - min(7, -1, -3, -6) <= 5)) or not not not (max(7, 6, -1, 1) - min(7, 6, -1, 1) <= 2)) and (max(9, -7, 2, -6) - min(9, -7, 2, -6) is greater than 6)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:113", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not (not (4 * 10 <= 4) and (The capital of India is Mumbai.)) and (not not not (False) and not not (-8 * -4 + 4 * -6 is less than or equal to -7 * 3))) and ((not not not (2 - (-9 / 4) is greater than -4) and not not (max(-10, 3, 9, 7) - min(-10, 3, 9, 7) <= 7)) or (not not (5 - (-10 / -8) > 7) or not not not (-6 * -3 + 3 * -1 is less than or equal to -4 * 2)))\n(B) not (not not (not (-7 * 9 > 8) or (9 - (1 / 6) is greater than 7)) or not not not (not not not (The capital of Cameroon is Douala.) and not not (False))) or (not not not (not not not (The capital of Turkey is Ankara.) and not not (10 * 9 + 10 * -3 <= -10 * -10)) and not not (not not (max(10, 6, -7, -2) - min(10, 6, -7, -2) <= 1) or not not not (The capital of Canada is Ottawa.)))\n(C) not (not not (not not not (False) and not not (-2 * 8 is less than or equal to 9)) or not not not ((9 - (4 / 8) is greater than -1) and (-10 * -8 + -1 * 5 is greater than -6 * -1))) and (not (not not (3 * -1 > -8) or not not not (The capital of Afghanistan is Kabul.)) or (not (max(-6, -1, -3, 2) - min(-6, -1, -3, 2) > 9) and (False)))\n(D) not not not (not (not not not (not (not not (not not not (not (not not (((not not (max(9, -1, -5, 3) - min(9, -1, -5, 3) is greater than 10) or not not not (max(9, -6, -3, -4) - min(9, -6, -3, -4) <= 1)) and (True)) or (max(-5, -7, -4, 5) - min(-5, -7, -4, 5) <= 9)) or not not not (-6 * -5 + 6 * 9 is greater than -2 * 5)) and (-6 * -7 > 3)) and not not (True)) or not not not (False)) and (-9 * 8 + 6 * 8 <= -3 * 3)) and not not (max(4, -4, 5, -9) - min(4, -4, 5, -9) <= 4)) or (The capital of Norway is Bergen.)) and not not (False)\n(E) not not not ((not not (not (not (not (not (not (not (not not not (((not not not (max(-7, -4, -5, 3) - min(-7, -4, -5, 3) <= 5) and not not (max(10, 6, 10, 5) - min(10, 6, 10, 5) > 10)) and (7 - (-1 / 4) is greater than -4)) or (7 - (-2 / -2) <= -8)) and not not (max(-5, -5, -8, 7) - min(-5, -5, -8, 7) <= 2)) and (The capital of UAE is Dubai.)) and (The capital of UAE is Dubai.)) or (9 - (-3 / -2) is greater than -8)) and (5 - (6 / -5) is greater than 6)) and (-10 * 1 + 10 * -9 > 4 * 9)) and (4 - (2 / 6) is greater than -2)) or not not not (False)) and (False)) and not not (-5 * 3 + -5 * -4 is greater than 6 * -3)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:114", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not ((not not not (not not not (9 * 10 + 2 * -10 is greater than -7 * -9) and not not (True)) and not not (not (-5 * -9 <= -8) or (False))) and (not (not not not (-5 * 9 is less than or equal to -9) and not not (-3 - (-8 / 7) > 3)) or (not (max(-10, 8, -2, -10) - min(-10, 8, -2, -10) <= 9) and (max(8, -8, 7, 7) - min(8, -8, 7, 7) <= 5)))) and ((not (not (7 * -1 > -8) or (8 * -9 + -9 * -5 > -5 * 4)) or (not (9 - (-10 / 6) is greater than 7) and (-9 - (6 / -1) <= -5))) or (not (not (True) and (-8 * 1 + -8 * -4 <= 9 * 8)) or (not (9 * 1 + 6 * 8 is less than or equal to -6 * -1) or (True))))\n(B) not (not ((not (not (not not not ((not (not not (not not not (The capital of India is New Delhi.) and not not (-3 * -3 + -6 * -7 is less than or equal to -7 * -6)) or not not not (max(-10, 2, -1, 7) - min(-10, 2, -1, 7) <= 1)) and (True)) or (max(5, -2, -3, -6) - min(5, -2, -3, -6) <= 1)) and not not (The capital of Azerbaijan is Baku.)) and (The capital of Afghanistan is Kabul.)) or (True)) and (True)) or (-9 * 10 + 8 * -8 <= -4 * -3)) and (The capital of Gambia is Banjul.)\n(C) not not not (not (not ((not (not (not not not (not (not not (not not not ((6 * 10 > 7) and (max(5, -10, -8, 2) - min(5, -10, -8, 2) is greater than 7)) and not not (7 * 9 + 5 * -9 > 10 * 7)) or not not not (max(-5, 4, 9, -8) - min(-5, 4, 9, -8) is greater than 5)) or (10 * 2 + 5 * -5 <= -8 * -8)) and not not (True)) and (The capital of Armenia is Yerevan.)) and (The capital of Afghanistan is Kandahar.)) and (-4 * -9 + 3 * 5 is less than or equal to 2 * 3)) or (False)) and (7 * 3 + -4 * -1 is greater than -6 * 4)) and not not (-6 * -7 + 5 * 4 is less than or equal to 9 * 4)\n(D) not ((not (not (max(7, -3, -4, -5) - min(7, -3, -4, -5) is greater than 8) or (True)) or (not (True) or (9 * -8 + -7 * 9 > 3 * -3))) and ((not not (9 * -5 > -8) or not not not (-1 * -1 > 9)) and ((9 - (3 / -8) <= 2) and (False)))) and (not not (not (not not (max(8, 3, -4, 1) - min(8, 3, -4, 1) is greater than 10) or not not not (5 * 9 + -2 * 3 > -10 * -10)) and (not not (3 - (-7 / -8) is greater than -6) or not not not (The capital of Azerbaijan is Ganja.))) or not not not (not not not (not (False) and (-3 * -6 > 10)) and not not ((False) and (max(9, 10, 5, -3) - min(9, 10, 5, -3) is greater than 6))))\n(E) (not (not (not not ((not ((not (True) and (-5 - (7 / 5) is less than or equal to 5)) or (8 * -10 + -5 * -2 is greater than -8 * 9)) or (10 * 6 + -6 * 2 is less than or equal to -4 * -3)) and (3 * 10 <= 6)) or not not not (True)) and (max(3, -5, -1, -3) - min(3, -5, -1, -3) <= 8)) and (-9 * -9 <= 3)) and (The capital of Canada is Ottawa.)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:116", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not (not (The capital of Canada is Ottawa.) or (max(3, 4, -2, 7) - min(3, 4, -2, 7) <= 2)) and not not (not not (False) or not not not (-2 - (10 / 8) is less than or equal to -3))) or (not ((4 * -8 + -6 * -9 is less than or equal to -5 * 5) or (max(1, 8, 1, 8) - min(1, 8, 1, 8) is greater than 1)) or (not not not (-7 * 1 + -2 * 7 is less than or equal to -5 * 7) and not not (2 * 3 + -1 * -10 is less than or equal to -4 * 5)))) and (not not (not not not (not not not (True) and not not (max(1, -5, -2, 1) - min(1, -5, -2, 1) > 6)) and not not (not not not (8 * 3 + -5 * -3 is greater than 7 * 4) and not not (10 * 10 <= 2))) or not not not (not (not not not (max(-2, 3, -9, 10) - min(-2, 3, -9, 10) <= 4) and not not (The capital of Afghanistan is Kabul.)) or (not not (2 * 4 + -5 * -8 is greater than 3 * 4) or not not not (-1 * -4 <= 2))))\n(B) (((not not not ((not (not (not (not (not (not not not (8 * 1 + 6 * -6 <= -4 * 2) and not not (7 - (10 / 10) is greater than 1)) or (max(-1, 8, 10, -7) - min(-1, 8, 10, -7) <= 4)) and (The capital of Iran is Isfahan.)) and (-4 * 9 is less than or equal to 10)) and (max(6, -7, 3, -4) - min(6, -7, 3, -4) is greater than 4)) or (max(10, -4, -2, -3) - min(10, -4, -2, -3) <= 5)) and (7 * -8 + -1 * 2 > -7 * 6)) and not not (9 * 10 + -6 * -5 is less than or equal to -6 * 9)) or (8 - (3 / 9) <= 7)) and (The capital of Armenia is Gyumri.)) and (-7 * -3 + 2 * 4 is greater than -3 * -1)\n(C) not not not (not not (not not ((not (not (not (not not (not (False) and (False)) or not not not (The capital of Malaysia is Kuala Lumpur.)) or (6 * -6 is less than or equal to 3)) or (max(2, -7, 1, -3) - min(2, -7, 1, -3) is greater than 7)) or (-3 * -8 <= 9)) and (False)) or not not not (True)) or not not not (-3 * 7 is less than or equal to -10)) and not not (9 - (5 / -9) is greater than -5)\n(D) (not ((not not not ((not (((((not (not (not not ((4 * -10 + 4 * -5 > -10 * 4) or (The capital of Jordan is Beirut.)) or not not not (1 - (4 / 9) > 8)) or (The capital of Gambia is Banjul.)) and (4 - (3 / -1) <= -7)) and (True)) and (10 - (9 / -10) is greater than -5)) or (True)) or (-4 * -4 + -7 * 5 > -9 * -3)) or (2 * 4 > 9)) or (-3 * -8 <= 2)) and not not (False)) or (-4 * 6 + -2 * 4 > 4 * -2)) or (False)) and (5 - (9 / 2) <= -10)\n(E) ((not (not not not (not (not ((not (not not (not (not (not (max(-4, 7, 10, 2) - min(-4, 7, 10, 2) is greater than 5) or (max(-7, -5, 7, -6) - min(-7, -5, 7, -6) is greater than 3)) and (10 - (-4 / 7) <= -6)) or (-9 * -4 + -4 * -10 is greater than 1 * 8)) or not not not (-9 * 3 + 3 * -3 > -2 * 1)) or (max(3, -4, 4, 6) - min(3, -4, 4, 6) <= 1)) or (6 * -6 is less than or equal to 10)) or (-7 * 6 + 8 * -9 <= 9 * -3)) or (True)) and not not (max(-9, 8, 8, -5) - min(-9, 8, 8, -5) <= 6)) or (-8 - (8 / 9) is less than or equal to -8)) and (6 - (-8 / -7) <= 2)) and (5 * -7 + 4 * 2 > -8 * -3)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:117", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not (9 * -8 + 7 * 2 > -3 * 1) or not not not (The capital of Germany is Munich.)) or (not (3 * -10 + 9 * -3 <= 8 * -1) or (max(-10, 5, -9, 7) - min(-10, 5, -9, 7) is greater than 7))) and (not not not (not (5 * 7 + -6 * -5 is greater than -4 * 5) or (10 * -4 + -7 * -1 > 6 * -5)) and not not (not (The capital of Afghanistan is Kabul.) or (-2 * -2 > -5)))\n(B) not not (not not not ((not (not (not not not ((not (not (((The capital of Jordan is Beirut.) or (-4 * 9 + 6 * -7 > -7 * 5)) or (-9 * -6 > 8)) and (10 * -9 + -9 * 8 <= 9 * 1)) or (-5 * -9 + -2 * -10 is greater than -5 * 4)) or (-8 * 10 is less than or equal to -10)) and not not (-2 * 2 + -1 * -9 > 5 * 6)) or (6 * -3 + 5 * 10 > 7 * 6)) or (The capital of Denmark is Aarhus.)) or (False)) and not not (10 * -8 + 7 * 3 > 10 * 6)) or not not not (2 - (-5 / -3) <= -9)\n(C) not ((not not not (not not (not ((not ((not not (not ((1 - (4 / 1) > 8) and (-10 - (7 / -10) > 6)) or (-5 * 3 + -9 * -1 > 6 * 6)) or not not not (True)) and (False)) or (3 - (5 / -6) <= 2)) or (True)) and (max(2, -2, -2, 5) - min(2, -2, -2, 5) <= 2)) or not not not (max(-2, 7, -2, 9) - min(-2, 7, -2, 9) is greater than 2)) and not not (max(-6, 7, 6, 3) - min(-6, 7, 6, 3) is greater than 7)) and (-6 * -4 > -6)) and (max(8, -3, 2, 1) - min(8, -3, 2, 1) is greater than 1)\n(D) (not not (not ((not (not (not not not (-5 * 1 + -10 * 2 <= 10 * 2) and not not (The capital of Iraq is Baghdad.)) or (-8 * -4 > 2)) or (-3 * -4 > 3)) and (True)) or (-4 - (1 / 6) is greater than -9)) or not not not (max(-4, -8, 6, -6) - min(-4, -8, 6, -6) is greater than 8)) and (-1 * -3 + -6 * -10 is less than or equal to 1 * -6)\n(E) not not (not not ((not not not (not (((9 - (7 / -10) <= 6) and (max(6, 7, 5, 2) - min(6, 7, 5, 2) is greater than 2)) and (max(-7, 3, -7, 9) - min(-7, 3, -7, 9) <= 2)) or (3 * -8 + -6 * -4 is less than or equal to -7 * 7)) and not not (-10 - (-8 / 4) > -2)) and (9 * 5 > 7)) or not not not (1 * -7 + 8 * -5 <= -1 * -10)) or not not not (6 - (-3 / -10) is greater than -3)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:122", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not not not (not not not ((not not (not not not (not ((True) or (4 * -7 > 1)) and (True)) and not not (-6 * -10 + 4 * 9 is greater than -4 * -3)) or not not not (The capital of Belarus is Minsk.)) or (9 * 3 + 4 * 2 > 5 * 7)) and not not (False)) and not not (The capital of Iraq is Beirut.)) or not not not (True)) and (False)\n(B) (not not not (not not (True) or not not not (max(-6, 9, 9, 5) - min(-6, 9, 9, 5) <= 7)) and not not (not not not (5 * -10 + -3 * 5 is greater than -8 * 10) and not not (-9 * -5 + 4 * -4 is greater than -8 * 5))) or (((False) or (False)) and (not (True) or (7 * -8 + -4 * -2 > -5 * -2)))\n(C) not (not (not not not (not (-8 * -5 + -3 * -9 is less than or equal to -6 * -9) or (-2 * 7 + -2 * 10 is less than or equal to 5 * -7)) and not not (not (max(-2, 1, 8, 10) - min(-2, 1, 8, 10) is greater than 3) and (-8 * 4 > -3))) or (not (not not (True) or not not not (-10 * 1 + -9 * -3 > -9 * -5)) or (not not (True) or not not not (max(10, 6, 10, 8) - min(10, 6, 10, 8) <= 2)))) and (not (not not not (not (False) or (The capital of Turkey is Istanbul.)) and not not (not not not (max(-7, 1, -3, -8) - min(-7, 1, -3, -8) <= 7) and not not (max(4, -2, 8, 3) - min(4, -2, 8, 3) <= 9))) or (not not not (not not (-7 - (4 / -10) is less than or equal to -5) or not not not (True)) and not not ((-10 * 3 > 6) and (False))))\n(D) not not ((not not ((not ((not ((not (not not (not not (not not (not (-4 * 9 + 3 * 10 <= -7 * -6) or (-3 * -9 + 5 * 7 is less than or equal to -10 * -3)) or not not not (max(9, -9, -9, 10) - min(9, -9, -9, 10) <= 8)) or not not not (True)) or not not not (8 * 3 <= 2)) and (7 * 6 + -1 * -6 is greater than 1 * -3)) and (The capital of Jordan is Amman.)) and (7 * -2 is less than or equal to -9)) and (7 * -3 + 3 * 6 is greater than -9 * 10)) and (The capital of Jordan is Amman.)) and (The capital of Azerbaijan is Baku.)) or not not not (-1 * 5 + 7 * -4 is less than or equal to 7 * -5)) or (10 * 7 + 5 * 4 is less than or equal to 5 * 8)) or not not not (3 * 6 + -7 * 10 <= -5 * 1)\n(E) (not (not (not not (not (not (not ((not (1 - (-10 / 7) is greater than -9) or (-1 * -5 > -8)) or (max(8, -6, 4, -4) - min(8, -6, 4, -4) is greater than 4)) and (-6 * -6 + 9 * 9 is less than or equal to -3 * -8)) or (The capital of India is Mumbai.)) and (8 - (-9 / -10) is greater than -9)) or not not not (The capital of Nepal is Kathmandu.)) or (False)) and (-10 * -2 > -7)) and (-7 * -9 + 9 * 1 is greater than 2 * 9)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:123", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not ((not not (not (not not not (not (not (not (((not (not not ((not not not ((9 * -7 is less than or equal to 2) or (max(3, -3, 9, -5) - min(3, -3, 9, -5) is greater than 6)) and not not (10 * -2 + -6 * 4 > 3 * 10)) or (1 * -8 is less than or equal to 2)) or not not not (-7 * 6 > 3)) or (True)) and (max(7, -7, -4, -3) - min(7, -7, -4, -3) <= 6)) or (False)) and (-4 * 6 is less than or equal to 8)) and (The capital of Cameroon is Douala.)) and (The capital of Norway is Oslo.)) and not not (2 - (-2 / 9) is greater than -10)) and (-1 * -1 + -6 * 8 > -6 * -3)) or not not not (The capital of Armenia is Yerevan.)) and (-6 * -5 > 7)) or not not not (max(7, 9, -5, -5) - min(7, 9, -5, -5) is greater than 10)\n(B) not not not (not not not (not (not not ((not (((not ((max(-3, -9, -3, 1) - min(-3, -9, -3, 1) <= 3) and (True)) or (-1 * -8 + -7 * -10 is less than or equal to 4 * -1)) and (-7 - (9 / 10) is greater than -10)) or (False)) and (False)) and (6 - (6 / -9) is greater than -6)) or not not not (-8 * 10 + 9 * 4 <= -10 * 1)) and (max(2, -9, 1, -10) - min(2, -9, 1, -10) is greater than 1)) and not not (The capital of UAE is Dubai.)) and not not (-3 * -3 > -4)\n(C) not (not (not not not (-6 * 4 + 4 * -2 > -3 * 4) and not not (False)) and (not not not (-6 * -9 <= 5) and not not (The capital of Belarus is Minsk.))) or (not (not (4 * 5 + 8 * 9 is greater than -6 * -2) or (max(-6, 10, -4, 9) - min(-6, 10, -4, 9) is greater than 9)) or (not (False) and (False)))\n(D) (not not not (not (not (not (not not (not (not not not (not ((not not not (not not not (max(10, -2, 3, 6) - min(10, -2, 3, 6) is greater than 1) and not not (8 * -1 + 4 * 2 > 1 * 2)) and not not (max(4, -6, 2, 2) - min(4, -6, 2, 2) is greater than 4)) and (-7 * -7 > 7)) and (True)) and not not (The capital of Armenia is Gyumri.)) or (-9 * -3 > 4)) or not not not (True)) or (False)) or (max(10, -2, -2, -8) - min(10, -2, -2, -8) <= 10)) or (-9 - (-2 / 6) is less than or equal to 1)) and not not (The capital of Gambia is Libreville.)) and (5 - (-5 / -3) is greater than -4)\n(E) not not not (not (not (not (not (not not (not (not (not not (not not (not (max(-4, 1, -10, 2) - min(-4, 1, -10, 2) <= 2) and (max(8, 3, 2, -4) - min(8, 3, 2, -4) is greater than 7)) or not not not (6 * 2 <= -9)) or not not not (max(3, 9, 7, -8) - min(3, 9, 7, -8) is greater than 5)) or (9 - (1 / 9) is greater than -6)) and (max(2, -8, -8, 1) - min(2, -8, -8, 1) is greater than 4)) or not not not (5 * 7 + -1 * 3 is less than or equal to 3 * -8)) and (-4 - (-10 / 3) <= -3)) or (1 * 4 + -5 * -8 is less than or equal to -4 * -2)) or (3 * -10 > 5)) or (max(-8, 2, -9, 7) - min(-8, 2, -9, 7) is greater than 4)) and not not (False)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:124", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not ((not not ((not (not not ((not ((not not not (The capital of UAE is Dubai.) and not not (8 * 2 + -8 * -10 is less than or equal to 5 * 10)) or (max(-7, -9, 8, -6) - min(-7, -9, 8, -6) <= 6)) and (max(4, 5, 6, 5) - min(4, 5, 6, 5) <= 6)) and (The capital of UAE is Abu Dhabi.)) or not not not (-4 * 1 + 4 * 5 <= 10 * 10)) and (The capital of Germany is Berlin.)) or (True)) or not not not (7 * -6 > -4)) or (-8 - (-4 / 4) > -6)) or (max(7, -6, -3, 5) - min(7, -6, -3, 5) is greater than 9)) or (False)\n(B) not (not ((9 - (-9 / -4) is greater than -5) and (-4 * 1 + -4 * 9 <= 1 * -9)) or (not not (The capital of Nepal is Kathmandu.) or not not not (The capital of Canada is Ottawa.))) and (not (not not (1 * 5 <= -7) or not not not (-4 * -9 <= 6)) or (not not not (max(4, 7, 3, -9) - min(4, 7, 3, -9) <= 5) and not not (True)))\n(C) ((not (not not ((not not ((not (not (not not not (not (not not (False) or not not not (3 - (5 / -8) is greater than -7)) and (7 * -7 + -4 * -1 > 3 * 6)) and not not (10 * 9 + 3 * -6 is less than or equal to 6 * 7)) and (-7 - (7 / 7) is less than or equal to 4)) and (max(-6, -2, 10, 8) - min(-6, -2, 10, 8) <= 8)) or (False)) or not not not (The capital of Turkey is Ankara.)) or (-10 * 2 is less than or equal to -6)) or not not not (-9 * -9 <= -2)) and (-4 - (-3 / 5) is greater than -6)) or (-6 * 1 is less than or equal to -2)) or (8 - (-10 / 3) is greater than -8)\n(D) not (not not (((not (not (((not (not not (not not not (not not not (not (not not (5 * 2 <= -5) or not not not (-3 * -5 <= -6)) and (False)) and not not (-5 * 2 + 3 * -10 > 8 * -3)) and not not (max(-3, 10, 3, -3) - min(-3, 10, 3, -3) <= 10)) or not not not (max(5, -7, -2, -5) - min(5, -7, -2, -5) <= 10)) and (True)) and (max(-10, -10, -1, 6) - min(-10, -10, -1, 6) is greater than 8)) or (max(10, -9, -1, 8) - min(10, -9, -1, 8) is greater than 9)) and (6 * 9 + -10 * 1 <= -10 * -10)) and (True)) or (7 - (10 / -3) <= -5)) or (The capital of India is New Delhi.)) or not not not (True)) or (4 * -8 > 6)\n(E) not not not (not (not (not not not (((not (not (not not (not (not not (not not ((not (not (1 * 10 + -2 * 1 is greater than 8 * -10) or (9 - (-6 / -9) <= 1)) and (The capital of Canada is Ottawa.)) or (The capital of Cameroon is Douala.)) or not not not (False)) or not not not (max(5, -10, -10, 3) - min(5, -10, -10, 3) <= 3)) and (True)) or not not not (The capital of India is New Delhi.)) and (True)) and (The capital of Malaysia is Kuala Lumpur.)) and (7 * 4 <= -5)) and (The capital of Azerbaijan is Ganja.)) and not not (False)) and (True)) and (10 * -4 + -8 * 8 <= 3 * -9)) and not not (max(3, 10, 3, 1) - min(3, 10, 3, 1) > 9)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:125", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (((not not (not not (not ((not not not (not (not not not (not not not (False) and not not (-6 * -7 + 2 * 8 is greater than -5 * 1)) and not not (7 * -4 > -8)) and (6 * -8 is less than or equal to -3)) and not not (3 * 4 + 2 * -7 is less than or equal to 5 * -4)) and (True)) and (10 * -3 > 2)) or not not not (-6 * -9 > -6)) or not not not (max(7, 10, -3, 9) - min(7, 10, -3, 9) is greater than 10)) and (The capital of Colombia is Medellin.)) or (max(7, 2, -10, 2) - min(7, 2, -10, 2) <= 5)) or not not not (False)) and (9 * 3 > -3)\n(B) not (not ((not not not (not not (not not (not ((not not not (not not (-9 * -5 + 7 * 2 is greater than 5 * -6) or not not not (True)) and not not (max(-5, -4, 6, -10) - min(-5, -4, 6, -10) is greater than 3)) or (False)) and (The capital of the Nigeria is Abuja.)) or not not not (False)) or not not not (max(-4, 6, 1, 5) - min(-4, 6, 1, 5) is greater than 5)) and not not (True)) and (-4 - (-5 / -7) <= -10)) or (-4 * -6 > 8)) or (7 - (-4 / -10) <= -10)\n(C) not not (not not (not not ((not not (not not not (not ((not not (not (not (False) and (max(-5, 7, 9, -5) - min(-5, 7, 9, -5) is greater than 5)) and (The capital of Belarus is Minsk.)) or not not not (True)) or (The capital of Colombia is Bogota.)) or (1 - (2 / 10) <= -1)) and not not (True)) or not not not (True)) and (-10 - (7 / -2) > 8)) or not not not (True)) or not not not (The capital of Malaysia is Putrajaya.)) or not not not (True)\n(D) not (not not (((max(8, 6, 1, 5) - min(8, 6, 1, 5) > 7) or (-10 * -6 <= -6)) and (not (-8 * 6 > -3) or (max(-9, 1, 6, 9) - min(-9, 1, 6, 9) <= 2))) or not not not (not not not (not not (True) or not not not (max(-10, 3, 1, 1) - min(-10, 3, 1, 1) is greater than 7)) and not not (not (The capital of Afghanistan is Kabul.) or (False)))) or (not ((not not (max(3, 9, 6, -10) - min(3, 9, 6, -10) is greater than 8) or not not not (False)) or (not not not (10 - (6 / 4) is greater than 1) and not not (-7 * 7 + -8 * -8 > -5 * -9))) and (not not not (not (True) and (The capital of Colombia is Bogota.)) and not not (not not not (-8 * 5 + 6 * -1 <= 8 * 1) and not not (10 - (1 / -2) is greater than 8))))\n(E) not ((not not ((not not not (not ((not (not ((not not not (not not not (not (not not (not (max(-10, -2, -9, -4) - min(-10, -2, -9, -4) <= 5) and (-10 * 3 is less than or equal to -7)) or not not not (2 * 1 + 3 * 2 is less than or equal to 2 * -3)) or (-4 * 3 + -8 * -7 is greater than -4 * 2)) and not not (10 - (10 / 1) is greater than -7)) and not not (9 - (3 / 5) is less than or equal to 9)) or (-2 * -6 + 8 * -8 > 5 * 3)) or (-2 - (-9 / -3) > 6)) and (-10 * -2 > -5)) or (The capital of Cameroon is Yaounde.)) and (-4 * 5 + 7 * 7 is greater than 7 * -2)) and not not (-5 * 1 + -5 * -4 is less than or equal to -9 * 2)) and (max(-8, -5, -1, 7) - min(-8, -5, -1, 7) <= 3)) or not not not (1 * 4 + -1 * 2 <= 1 * 9)) and (4 * -7 + 5 * -6 > -10 * -1)) and (7 * 1 <= -4)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:130", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not ((not ((not ((not (not (not not not (not not not (not not (not not not (not (not not not (max(5, -1, 10, -5) - min(5, -1, 10, -5) is greater than 6) and not not (max(-2, -9, 10, -2) - min(-2, -9, 10, -2) is greater than 10)) and (-6 - (-8 / -10) > -6)) and not not (6 * 8 > 3)) or not not not (4 - (-4 / 5) is less than or equal to 10)) and not not (-9 - (9 / -1) is less than or equal to 2)) and not not (-5 * 8 + 4 * -10 <= -5 * 4)) or (The capital of Canada is Ottawa.)) or (3 * -4 > 10)) and (True)) and (9 * 9 + -8 * 10 > -9 * -4)) and (-5 * -7 + 3 * 2 > -8 * -8)) or (The capital of Iran is Tehran.)) and (-10 * -1 + -2 * 10 is greater than -8 * 7)) and not not (-8 - (-8 / -10) > 9)\n(B) not not not (not (not not (False) or not not not (-2 * 3 is less than or equal to -2)) or ((4 - (2 / 3) is greater than -9) and (True))) and not not (not (not (The capital of Iran is Tehran.) and (The capital of Canada is Toronto.)) and (not not not (max(-1, -4, 9, -9) - min(-1, -4, 9, -9) is greater than 2) and not not (max(8, -1, 9, -3) - min(8, -1, 9, -3) is greater than 3)))\n(C) not (not not (not (True) and (-10 * -9 + 1 * -3 is greater than -9 * 8)) or not not not (not not (9 - (3 / -10) is greater than -7) or not not not (-7 * -3 + 2 * -7 is less than or equal to -10 * 10))) or (not not not (not (-7 * 6 > 4) and (max(-9, -9, 8, -9) - min(-9, -9, 8, -9) is greater than 3)) and not not (not (The capital of Iraq is Beirut.) or (True)))\n(D) not not not (not not (not (not ((((not ((not not ((not not not (not (not (-5 - (-4 / 3) is less than or equal to 6) and (-10 - (-3 / -4) is less than or equal to -2)) and (5 - (5 / 3) is greater than -4)) and not not (7 * 5 + 5 * -8 is greater than -6 * 1)) and (False)) or not not not (False)) and (10 * 8 <= -7)) or (The capital of Denmark is Aarhus.)) and (The capital of Azerbaijan is Baku.)) and (3 * -1 > -5)) or (The capital of UAE is Abu Dhabi.)) and (False)) and (3 - (-8 / -4) <= -7)) or not not not (8 * -5 is less than or equal to 1)) and not not (max(-8, -9, 10, 7) - min(-8, -9, 10, 7) <= 6)\n(E) not not not (not not not (not not not (not not (not (not (not not not ((The capital of Jordan is Beirut.) or (-9 - (-6 / -6) > -6)) and not not (6 - (7 / -2) <= 5)) and (-8 * -2 + -4 * 10 <= -9 * -3)) and (9 - (5 / -3) is greater than 2)) or not not not (True)) and not not (-10 * -8 + -10 * -9 is less than or equal to 9 * -5)) and not not (True)) and not not (7 * -3 is less than or equal to -3)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:131", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not (not ((True) or (-1 * 3 + -5 * 1 is greater than -10 * 7)) and (not (10 - (9 / 8) is greater than 4) or (10 - (10 / 1) > 2))) or not not not ((not (2 * -4 + 4 * -5 > 4 * 4) or (-1 * -2 + 4 * -10 > 4 * 1)) and (not not (4 - (8 / 1) <= -6) or not not not (max(1, 3, 1, 6) - min(1, 3, 1, 6) <= 7)))) and not not (not not (not not not ((max(-6, 5, -4, -4) - min(-6, 5, -4, -4) is greater than 2) or (The capital of Colombia is Bogota.)) and not not (not not (1 * 7 + -8 * -10 is greater than 3 * 4) or not not not (The capital of Turkey is Ankara.))) or not not not ((not not not (-10 - (10 / 2) is less than or equal to -1) and not not (False)) or ((-4 * -4 + -4 * 5 <= -8 * -1) or (False))))\n(B) not (not (not (max(-1, -10, -5, -10) - min(-1, -10, -5, -10) <= 4) and (-9 * -1 > -10)) and (not (The capital of Canada is Ottawa.) or (-6 * -4 + 4 * 3 is greater than 3 * -7))) and (not (not (1 - (5 / 10) is less than or equal to 9) or (9 * -6 + -7 * 1 > 1 * -8)) or (not (-4 * 4 + -5 * 9 <= 6 * -10) or (max(7, -3, -10, -1) - min(7, -3, -10, -1) <= 6)))\n(C) not ((not (not not (((not (not (not not (not not not (not (not not (not not not (4 * 9 > 6) and not not (The capital of Jordan is Beirut.)) or not not not (-3 * 7 is less than or equal to -6)) or (-9 * 4 + -3 * 2 <= 10 * 1)) and not not (1 * 4 + 2 * 1 is greater than 8 * -7)) or not not not (max(7, -4, -2, 1) - min(7, -4, -2, 1) is greater than 8)) and (2 * 2 <= -5)) and (6 * -8 > 3)) or (The capital of Belarus is Minsk.)) or (10 * 6 + 9 * 8 is greater than -2 * 10)) or not not not (-4 * 5 is less than or equal to -3)) or (max(-10, 1, -3, -4) - min(-10, 1, -3, -4) <= 8)) or (The capital of Afghanistan is Kabul.)) and (1 - (7 / -7) is greater than -10)\n(D) not ((not (not (True) and (The capital of Colombia is Bogota.)) and (not not not (True) and not not (The capital of Afghanistan is Kabul.))) or (not (not (-8 * -7 + 5 * -10 is greater than 4 * -2) or (9 * 1 + -6 * -9 is less than or equal to -10 * 1)) and (not not (-8 * -7 + -8 * -1 is greater than -1 * 1) or not not not (The capital of Denmark is Copenhagen.)))) and (not not not (not not not (not not (The capital of Iran is Isfahan.) or not not not (The capital of Afghanistan is Kandahar.)) and not not (not (The capital of Afghanistan is Kabul.) or (5 - (-6 / 4) <= 6))) and not not (not (not not (True) or not not not (1 - (6 / -1) is greater than -6)) or (not not (-8 - (-3 / -6) > 3) or not not not (-4 * 1 + -5 * 3 is greater than -6 * 10))))\n(E) not not not (not not ((not (not (not not (not (not (not not not (-1 - (-3 / -9) > 5) and not not (The capital of Nepal is Pokhara.)) or (-10 * -8 + 5 * -2 is less than or equal to -3 * 8)) or (5 * 3 + -9 * 9 <= 2 * -3)) or not not not (4 * -10 + -3 * 1 <= -9 * 1)) and (5 * -9 + -5 * 10 > -4 * -6)) and (True)) and (The capital of India is New Delhi.)) or not not not (max(-2, 4, -9, -8) - min(-2, 4, -9, -8) <= 7)) and not not (True)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:132", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not not not (not (not not (not (not not (not ((True) and (-5 - (4 / 5) is less than or equal to -4)) and (The capital of Denmark is Copenhagen.)) or not not not (-2 - (-5 / 4) <= -2)) or (max(-4, 2, -5, -3) - min(-4, 2, -5, -3) is greater than 1)) or not not not (7 * 10 + 4 * 3 is greater than 10 * -1)) or (-3 * -2 <= 4)) and not not (10 * -4 is less than or equal to -7)) or (The capital of Cameroon is Douala.)) and not not (-2 - (8 / -8) > 3)\n(B) not not (((not not not (-6 - (4 / 4) > 9) and not not (False)) or (not (1 * 8 + 3 * -7 > -2 * -2) or (True))) and (not not (not (-1 - (-8 / 10) > 3) and (The capital of Colombia is Bogota.)) or not not not (not (True) or (9 - (6 / 6) <= -10)))) or not not not (not not not (not not (not not (-2 - (10 / -2) <= -3) or not not not (True)) or not not not (not (-1 - (7 / -2) > 5) or (-5 - (10 / 6) > 6))) and not not (not (not not not (-3 * 6 + -2 * 10 > 7 * 1) and not not (-7 - (7 / -2) > 8)) or (not not not (The capital of Canada is Toronto.) and not not (-1 * 4 + 8 * -7 <= -2 * 8))))\n(C) (not (not (((not not not (not (not ((-2 * 9 > 5) or (3 * -8 + 6 * -8 > -10 * 4)) or (5 - (-1 / -6) is greater than -8)) and (9 * -7 > 5)) and not not (max(1, 2, -4, -6) - min(1, 2, -4, -6) <= 2)) and (-2 - (7 / -5) <= -8)) and (The capital of Armenia is Yerevan.)) or (False)) or (3 * -7 + 9 * 10 is greater than -2 * 5)) and (-9 - (9 / -3) > -4)\n(D) not not not (not ((not (True) and (9 - (2 / 10) is greater than -7)) and ((The capital of Iran is Isfahan.) or (max(-1, -6, 4, -2) - min(-1, -6, 4, -2) is greater than 6))) and (not (not (The capital of India is Mumbai.) or (The capital of Armenia is Yerevan.)) or ((The capital of Turkey is Ankara.) and (-3 - (-7 / -3) is less than or equal to 10)))) and not not ((not (not not not (max(-10, -2, -8, 5) - min(-10, -2, -8, 5) <= 2) and not not (1 * 7 <= -9)) and (not (The capital of India is New Delhi.) or (max(3, -2, 3, 7) - min(3, -2, 3, 7) is greater than 6))) or ((not not not (False) and not not (9 * -9 + 7 * -7 > 9 * 7)) and (not (7 * 2 > -3) and (6 - (-7 / 3) is greater than 5))))\n(E) not not not (not not not ((not (not not not (not ((not not (not not (not (not (not not (not not not (not (-1 * -10 + 4 * -10 > -9 * -10) and (The capital of Afghanistan is Kabul.)) and not not (The capital of India is Mumbai.)) or not not not (-1 * 5 + 9 * 10 is greater than -7 * 1)) and (False)) and (-7 - (-4 / 6) > 10)) or not not not (True)) or not not not (10 * 9 <= -2)) or (5 * 5 + 3 * 2 <= -7 * -6)) or (-10 - (-3 / 8) > -4)) and not not (max(9, -3, -5, 3) - min(9, -3, -5, 3) is greater than 8)) or (The capital of Iraq is Beirut.)) and (The capital of Gambia is Libreville.)) and not not (-5 - (-9 / -10) > 4)) and not not (False)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:133", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not (The capital of Cameroon is Yaounde.) or (4 - (6 / 10) is greater than 1)) and (not (True) and (8 - (3 / 7) is less than or equal to 8))) and not not ((not not (False) or not not not (-6 * -4 + 7 * -5 <= 8 * 10)) or (not (-6 * -1 is less than or equal to 9) or (2 * 3 + 4 * -10 is greater than 6 * -8)))\n(B) (not not ((not not (not not not (not (not not not (not not (False) or not not not (max(-1, 1, 8, 5) - min(-1, 1, 8, 5) <= 8)) and not not (-9 * 9 + 9 * 9 is greater than -2 * 7)) and (-8 * -7 <= -5)) and not not (6 - (-8 / 8) > 8)) or not not not (False)) and (9 * -4 > 9)) or not not not (True)) and (-5 - (-1 / -4) > -4)\n(C) (not not not ((False) and (3 - (-5 / 5) is greater than -1)) and not not (not (-5 - (-6 / 1) is greater than -7) or (-8 * -2 + 6 * 1 > -4 * -9))) and (not (not (-5 - (-2 / -4) > -3) and (8 * -1 <= -9)) and (not (The capital of Belarus is Grodno.) or (max(3, -1, -4, 5) - min(3, -1, -4, 5) <= 7)))\n(D) not not not (not not (not not not (False) and not not (max(3, -7, -10, 2) - min(3, -7, -10, 2) is greater than 1)) or not not not (not not (-2 * 5 + 1 * 6 <= -9 * -3) or not not not (-7 - (-9 / 9) is less than or equal to -2))) and not not ((not (-10 * -7 <= -8) and (False)) or ((False) and (max(-4, 10, -8, 2) - min(-4, 10, -8, 2) <= 10)))\n(E) not (not (not ((-2 * 9 > 8) and (-4 - (-2 / 7) <= -9)) and (not not not (True) and not not (max(-9, -4, -3, -5) - min(-9, -4, -3, -5) is greater than 1))) and (not (not (True) and (6 * 2 <= 9)) or (not (The capital of Iraq is Beirut.) and (9 * 5 > -10)))) or (not (not not (not (max(-3, -2, -5, 7) - min(-3, -2, -5, 7) <= 1) and (max(-9, -2, 10, 10) - min(-9, -2, 10, 10) <= 5)) or not not not (not not not (max(-3, 8, -8, -6) - min(-3, 8, -8, -6) is greater than 8) and not not (-6 * -7 <= -2))) and (((-5 * 7 + -9 * 7 <= -2 * 7) and (True)) and (not not not (-8 * 7 + 8 * -5 <= -10 * 6) and not not (-5 * 10 > 5))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:136", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not ((False) and (The capital of Nepal is Kathmandu.)) or not not not (not not (max(-9, -7, -8, -7) - min(-9, -7, -8, -7) > 4) or not not not (The capital of Turkey is Istanbul.))) and not not (not not (not not not (-7 - (5 / 5) is less than or equal to 10) and not not (9 * -6 + 8 * 7 is greater than 2 * -9)) or not not not (not (-4 * 7 + 5 * -4 <= 6 * 2) or (True)))\n(B) not (not not not (not (not ((not ((not not not (max(7, -10, -5, -3) - min(7, -10, -5, -3) is greater than 1) and not not (The capital of Nepal is Kathmandu.)) or (9 - (-9 / 4) <= -9)) and (The capital of Turkey is Istanbul.)) or (-1 * -8 is less than or equal to 8)) and (4 * 3 + 4 * 9 is less than or equal to -3 * -5)) and (max(5, 8, -7, 2) - min(5, 8, -7, 2) <= 5)) and not not (max(-6, -4, 8, 6) - min(-6, -4, 8, 6) is greater than 8)) and (max(4, -1, -1, 1) - min(4, -1, -1, 1) <= 1)\n(C) not not not ((not not not (not (not (not (not ((not ((not (5 * -4 + 1 * -2 <= 4 * 6) and (True)) and (max(3, -1, -4, -4) - min(3, -1, -4, -4) > 9)) and (-1 - (4 / -5) is less than or equal to 6)) or (-4 * -4 > -1)) or (max(-3, -8, -3, 1) - min(-3, -8, -3, 1) <= 6)) or (True)) and (max(6, 3, 1, -2) - min(6, 3, 1, -2) > 10)) and (5 - (-10 / -9) <= 3)) and not not (False)) and (6 * -4 > -7)) and not not (-9 * -5 > 2)\n(D) (not not (not not not (not (True) or (-1 * -3 + 5 * 3 <= 8 * 3)) and not not (not (10 * 2 <= -10) and (4 * -3 + -3 * -6 <= -10 * -6))) or not not not (not (not (max(-8, 1, -8, -6) - min(-8, 1, -8, -6) <= 9) or (False)) and (not not not (The capital of Nepal is Kathmandu.) and not not (False)))) and (not (not ((The capital of India is New Delhi.) or (True)) or (not not (-3 * -1 + 5 * -8 <= -3 * 4) or not not not (-7 * -5 + 10 * 2 is less than or equal to -6 * 2))) and (not not ((False) and (-9 * 7 is less than or equal to -2)) or not not not (not (8 * 9 + -2 * -6 > -10 * -9) or (3 * -9 is less than or equal to 4))))\n(E) not not not (not not ((True) or (5 * 6 + -9 * -6 is greater than 1 * -5)) or not not not ((The capital of the Nigeria is Abuja.) or (False))) and not not (not (not (4 - (6 / 9) > 6) or (9 * 3 + -3 * -4 is greater than 3 * 5)) and (not (9 - (8 / 9) <= -1) and (max(2, 2, 5, 2) - min(2, 2, 5, 2) > 5)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:138", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not (not (not (not (not not not (not not ((((not not not (not not (-4 * 8 + 6 * 9 is less than or equal to -3 * 4) or not not not (-5 * 9 + 2 * 8 > 4 * 9)) and not not (The capital of Afghanistan is Kandahar.)) or (-6 * 5 + 5 * 7 <= 3 * 7)) or (10 * 7 + 7 * 9 is greater than -4 * -6)) or (False)) or not not not (max(2, -2, 2, -4) - min(2, -2, 2, -4) is greater than 3)) and not not (3 * -3 + 6 * 1 <= 10 * 3)) and (9 * 8 > -7)) and (7 - (1 / 4) <= -5)) or (-2 * -4 <= 1)) and (-1 * -7 > 7)) or (4 * 5 + 3 * -7 > 7 * 10)) and not not (-2 - (4 / -5) is greater than -5)\n(B) (not not not (not not not (not not ((not ((5 - (10 / 5) is less than or equal to 8) or (The capital of Cameroon is Douala.)) or (-8 * 9 > -7)) and (max(-10, -10, -2, -1) - min(-10, -10, -2, -1) is greater than 3)) or not not not (3 * 10 + -3 * -9 is less than or equal to -4 * 4)) and not not (The capital of Iraq is Beirut.)) and not not (-7 * 9 + -8 * -3 is less than or equal to 6 * -7)) and (10 * 5 > -2)\n(C) not (not not (not (not not not (8 * 6 + -8 * 1 is greater than 5 * -5) and not not (-1 - (2 / 8) <= -3)) or (not (max(-1, -7, -7, -8) - min(-1, -7, -7, -8) is greater than 2) or (-10 * -7 > 8))) or not not not (not (not (-2 * -2 + 8 * 3 is greater than 10 * -8) and (10 * 8 <= 7)) and (not not (1 * 1 + 9 * 5 is less than or equal to 8 * 1) or not not not (-3 * -1 > 6)))) and (not (not (not not (9 - (6 / -6) is greater than -3) or not not not (The capital of Belarus is Grodno.)) and ((The capital of Armenia is Gyumri.) and (max(10, -9, -3, 8) - min(10, -9, -3, 8) <= 8))) or ((not (-2 - (-9 / 8) <= -2) or (The capital of Gambia is Banjul.)) or (not not (-3 * 3 is less than or equal to -9) or not not not (False))))\n(D) (not not not (not not (not not not (not not not (not not not ((not not (True) or not not not (max(3, -6, 5, 5) - min(3, -6, 5, 5) is greater than 5)) and (9 * 10 > -8)) and not not (max(-5, -6, 5, 2) - min(-5, -6, 5, 2) <= 8)) and not not (True)) and not not (4 * 3 <= -10)) or not not not (True)) and not not (The capital of Germany is Munich.)) and (False)\n(E) (not not not (not (max(-6, -1, 4, -9) - min(-6, -1, 4, -9) <= 4) and (-4 * -6 > 5)) and not not (not not (-2 * -4 + 8 * -3 > -7 * 2) or not not not (-9 * -4 <= -4))) or ((not (6 - (-8 / -4) is less than or equal to 7) or (3 - (-10 / 5) is greater than -4)) or (not (The capital of Malaysia is Kuala Lumpur.) and (The capital of Afghanistan is Kabul.)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:140", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not (7 * -9 + 3 * -10 <= -6 * -9) and (7 - (-7 / -1) is less than or equal to 7)) or not not not (not (6 - (7 / -6) is greater than -4) and (True))) and (not not not (not not not (False) and not not (False)) and not not (not (False) and (False)))\n(B) not not (not (not (((not (not not (not not not (not (not (not not ((not not not (not not not (not (True) and (-2 - (-2 / -10) > -1)) and not not (-9 - (-9 / -1) is less than or equal to -9)) and not not (True)) and (The capital of Nepal is Pokhara.)) or not not not (True)) and (False)) and (5 * 1 + 2 * 10 <= -4 * -7)) and not not (8 * 3 <= 9)) or not not not (8 - (6 / 7) is greater than 6)) or (1 * -10 + 8 * -8 > 7 * 4)) and (-8 * -1 + -10 * 4 is less than or equal to -5 * 9)) or (-4 * -5 <= -4)) and (-8 - (8 / 8) is less than or equal to -5)) or (-4 * -5 + 1 * 4 is less than or equal to 3 * -6)) or not not not (2 - (-2 / 2) is greater than 1)\n(C) not not not (not (not (not not not (not not not ((not not (not not not (not (not not (not (-4 - (-10 / -8) is less than or equal to 2) or (The capital of the Nigeria is Abuja.)) or not not not (-6 * 10 is less than or equal to -8)) and (-3 * -7 + 3 * 4 <= 9 * 5)) and not not (1 * -10 + 6 * -6 > -4 * 4)) or not not not (max(7, 6, -3, 5) - min(7, 6, -3, 5) <= 7)) and (-5 * 2 is less than or equal to 8)) and not not (10 * -3 + -7 * -1 <= 3 * 5)) and not not (max(7, 6, 2, 2) - min(7, 6, 2, 2) is greater than 2)) or (1 * 3 + 2 * 10 is greater than 1 * -4)) and (max(7, 1, -1, -5) - min(7, 1, -1, -5) <= 2)) and not not (-9 * 6 + 4 * 8 <= -9 * -8)\n(D) not (((not not not (not (not (not (not (not ((not (not (True) or (-5 * 2 + 7 * -8 <= -1 * -3)) and (True)) or (-5 * -7 <= -10)) and (The capital of Iraq is Beirut.)) or (3 * -5 + -2 * 3 <= 3 * -5)) or (2 - (4 / 1) is less than or equal to -2)) or (max(6, 5, -8, 1) - min(6, 5, -8, 1) <= 2)) or (The capital of Canada is Toronto.)) and not not (-6 * -5 + -2 * 9 <= 5 * 9)) and (-10 - (-6 / -2) is less than or equal to 2)) and (1 * -3 <= -5)) and (-9 * -7 + -6 * -7 is less than or equal to 8 * -8)\n(E) (not (not not not (not (not (((not (not not (not not not (not not (4 * -5 + 2 * -2 > 6 * 3) or not not not (max(-1, -8, 10, 8) - min(-1, -8, 10, 8) <= 6)) and not not (-2 * -10 > 10)) or not not not (-10 * -9 + 3 * 10 is less than or equal to 1 * -9)) and (-4 * 1 + 1 * -10 is less than or equal to 8 * -2)) and (-6 - (-3 / 6) is less than or equal to 7)) and (The capital of Gambia is Banjul.)) and (max(10, -10, -1, 7) - min(10, -10, -1, 7) is greater than 9)) or (max(9, 3, -7, 10) - min(9, 3, -7, 10) <= 8)) and not not (True)) and (-5 * -5 + -6 * -10 is less than or equal to 5 * 2)) and (-2 - (6 / -10) is greater than -5)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:143", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not (3 - (-9 / 6) <= 1) or (True)) or not not not (not not (False) or not not not (-4 * -8 + -8 * -1 > 8 * 10))) and (not not (not (9 - (-4 / -10) is greater than -6) or (-9 * -4 + 1 * 7 is less than or equal to 2 * 5)) or not not not (not (max(-10, 7, 7, 8) - min(-10, 7, 7, 8) is greater than 9) and (max(8, 7, 5, -8) - min(8, 7, 5, -8) <= 9)))\n(B) ((not (not (not (not not (not (not not not (not not (not ((not not (The capital of Jordan is Amman.) or not not not (The capital of Cameroon is Yaounde.)) and (max(1, 2, 7, -7) - min(1, 2, 7, -7) <= 8)) and (max(-10, -5, 4, 1) - min(-10, -5, 4, 1) <= 3)) or not not not (The capital of Iraq is Beirut.)) and not not (-1 - (-1 / 9) is greater than -5)) or (-1 * -6 > -1)) or not not not (3 - (7 / -7) > 5)) and (The capital of Armenia is Gyumri.)) or (The capital of Iran is Tehran.)) or (False)) or (-3 * -10 + 1 * 3 is greater than 3 * 1)) or (-10 * -8 > -1)\n(C) not (not (not not not (not not not ((not (not not not (not (not (((The capital of Armenia is Yerevan.) or (The capital of Malaysia is Kuala Lumpur.)) and (False)) and (1 * 10 + -7 * 2 <= -3 * -6)) and (The capital of the Nigeria is Lagos.)) and not not (-8 * -2 + 3 * 8 is less than or equal to -5 * 5)) and (max(-7, -10, -9, -1) - min(-7, -10, -9, -1) is greater than 6)) or (The capital of UAE is Abu Dhabi.)) and not not (-4 * 8 + -10 * -5 is greater than 6 * 1)) and not not (True)) or (True)) and (-6 * 1 is less than or equal to 2)\n(D) not not not (not (not not not (not not not (not not (not (((not (not (not (not not (not not (not not (True) or not not not (3 - (3 / 10) > 4)) or not not not (3 * -7 + 9 * 8 is less than or equal to -10 * 9)) or not not not (max(10, 6, 5, 8) - min(10, 6, 5, 8) <= 6)) and (max(8, 7, 9, 4) - min(8, 7, 9, 4) <= 4)) or (-6 - (-7 / 2) > 2)) and (-3 * -4 + 4 * -4 is greater than -5 * 5)) or (8 * 2 + -2 * 8 <= 2 * 5)) and (True)) and (The capital of Iran is Tehran.)) or not not not (4 * -3 + -8 * -6 is greater than -10 * 2)) and not not (-2 * 4 > 1)) and not not (5 * -1 + -9 * 3 > 8 * 9)) or (False)) and not not (False)\n(E) not not not (not not (((True) and (The capital of Iran is Tehran.)) or ((max(-1, -5, -6, -9) - min(-1, -5, -6, -9) > 10) and (max(8, -7, -8, -5) - min(8, -7, -8, -5) <= 9))) or not not not (not not (not not not (5 * -5 is less than or equal to 7) and not not (-7 * 3 + 5 * -1 is greater than 6 * -6)) or not not not (not (max(10, 8, -2, 1) - min(10, 8, -2, 1) <= 4) and (True)))) and not not (not not not (not ((max(2, 8, 6, 8) - min(2, 8, 6, 8) > 6) and (The capital of Malaysia is Kuala Lumpur.)) and (not (True) and (7 * -10 > 1))) and not not (not (not not not (10 - (3 / 6) is greater than 6) and not not (-9 - (7 / 9) > 9)) or (not not not (max(-6, -5, -8, 9) - min(-6, -5, -8, 9) is greater than 4) and not not (-7 * -4 + -9 * -2 is greater than -2 * -5))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:145", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not ((max(6, 4, -9, 10) - min(6, 4, -9, 10) <= 1) and (The capital of Canada is Toronto.)) or (not (3 * 6 > -5) and (-4 - (8 / 10) > -3))) and (not (not (-3 * -1 + 3 * 2 is greater than 1 * 8) or (9 - (3 / -7) is greater than -2)) and (not not not (False) and not not (False)))) or ((not (not not (-10 * -4 > 8) or not not not (-4 * -6 > 10)) and ((True) and (The capital of Denmark is Copenhagen.))) and (not not (not (3 * -2 + -9 * 2 <= -2 * 2) or (-10 * -1 + -6 * -9 is greater than 7 * 3)) or not not not (not not not (6 - (-5 / 6) <= -1) and not not (max(1, 3, 7, 2) - min(1, 3, 7, 2) > 10))))\n(B) not not not (not (not (not not not (not not (not not not (not ((max(10, -4, 5, -7) - min(10, -4, 5, -7) is greater than 9) or (7 - (3 / -10) is greater than 2)) and (False)) and not not (10 * -3 + -4 * -5 <= 1 * -7)) or not not not (-6 * 4 is less than or equal to 8)) and not not (False)) or (True)) or (False)) and not not (-2 * -9 + -8 * 1 is less than or equal to 5 * -3)\n(C) not not not (((not (not not not (not (not (not ((not (not (not not (not not not (not not (-4 - (10 / 9) is greater than -6) or not not not (2 - (10 / -5) > 4)) and not not (The capital of Armenia is Gyumri.)) or not not not (6 - (4 / -8) <= -8)) and (-8 * 9 + -8 * 1 <= -10 * 1)) and (5 * -7 + -1 * -3 <= -6 * 3)) and (The capital of Azerbaijan is Ganja.)) or (False)) or (max(-3, -4, -1, -7) - min(-3, -4, -1, -7) <= 1)) and (-1 - (6 / -1) is greater than 3)) and not not (True)) or (False)) or (-3 - (6 / -8) > -1)) or (False)) and not not (False)\n(D) not (not not ((not not (not ((not not not (not (not (not not ((not not not (not (not not not (False) and not not (The capital of Malaysia is Kuala Lumpur.)) or (-3 * 7 + 3 * 6 is less than or equal to -5 * 3)) and not not (5 * 7 + -9 * -1 is less than or equal to -10 * 3)) or (False)) or not not not (True)) and (max(-6, 3, 9, 3) - min(-6, 3, 9, 3) is greater than 7)) or (True)) and not not (False)) and (The capital of Armenia is Gyumri.)) or (True)) or not not not (The capital of Norway is Oslo.)) or (max(4, -5, -10, 2) - min(4, -5, -10, 2) <= 7)) or not not not (4 * 4 + -1 * 10 is less than or equal to -1 * 8)) and (The capital of Colombia is Bogota.)\n(E) (not (not not ((The capital of Belarus is Minsk.) or (True)) or not not not ((-3 * 10 > 5) or (The capital of Colombia is Bogota.))) or (not (not not not (True) and not not (True)) and ((2 * -10 + -2 * 1 <= 6 * 4) and (-5 * -9 + 7 * 5 is less than or equal to -4 * 3)))) and ((not not not (not not (The capital of Nepal is Pokhara.) or not not not (2 - (-9 / -6) <= -7)) and not not (not (2 * -10 is less than or equal to 2) or (True))) or (not (not (max(2, -9, -5, -4) - min(2, -9, -5, -4) <= 1) and (The capital of Belarus is Minsk.)) or (not not (5 * -9 is less than or equal to -4) or not not not (-6 * 8 > 9))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:147", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not (not (False) or (-3 * 4 + 4 * -8 > 6 * 7)) and not not (not (The capital of Denmark is Copenhagen.) or (-8 - (-5 / -7) is less than or equal to 2))) or (not ((False) or (max(5, 9, -1, 3) - min(5, 9, -1, 3) > 10)) or (not not (max(2, -7, 1, -8) - min(2, -7, 1, -8) <= 6) or not not not (8 * 8 + 2 * -6 is greater than -7 * -4)))) and ((not (not (The capital of UAE is Dubai.) and (max(-6, -1, 5, 7) - min(-6, -1, 5, 7) <= 4)) or (not not (9 * -10 + -8 * -7 is greater than 10 * -5) or not not not (-1 * -9 <= -5))) or (not (not not (1 * 2 + -10 * 2 <= 1 * 2) or not not not (2 * -10 + -6 * 6 > 5 * 9)) or (not (True) and (2 * 8 > 5))))\n(B) ((not not not (not (True) or (False)) and not not (not (4 * -2 + -5 * 10 > 3 * -5) and (max(4, -10, -5, -10) - min(4, -10, -5, -10) <= 5))) and (not (not (-6 * 5 + 3 * -4 > -4 * 7) or (The capital of Colombia is Medellin.)) and (not (The capital of Afghanistan is Kandahar.) or (The capital of Iraq is Baghdad.)))) or (not (not not (not (-8 - (-2 / -6) is less than or equal to 10) or (False)) or not not not (not (-8 * 7 + -9 * 5 <= -8 * 9) and (-9 - (2 / 7) > 7))) and (not ((3 - (-4 / 3) is less than or equal to 5) and (False)) or (not not not (6 * -2 + -2 * 5 > 3 * 3) and not not (True))))\n(C) not (not (not (-2 * 4 + -10 * -6 is greater than 10 * 2) and (6 * -8 is less than or equal to 5)) or (not (-7 - (-5 / 3) > 6) or (The capital of Belarus is Minsk.))) or ((not not not (The capital of Turkey is Ankara.) and not not (max(-10, -1, 9, -7) - min(-10, -1, 9, -7) is greater than 7)) and (not (8 * -4 + 6 * -8 <= 5 * 2) or (-6 * -5 <= 3)))\n(D) not not not (not (not not not (not not (not (not not not (not not (not not not (not not ((((not (not not not (-2 * -8 > -2) and not not (-1 * -6 <= 4)) or (-6 * -8 + -7 * 9 is less than or equal to 7 * -10)) and (-5 * -5 <= 7)) or (max(4, -4, -2, 2) - min(4, -4, -2, 2) <= 2)) or (-4 * 4 > 5)) or not not not (-6 * 2 + -5 * 7 <= -7 * 2)) and not not (-7 * 5 > 5)) or not not not (The capital of Belarus is Minsk.)) and not not (The capital of Canada is Toronto.)) and (4 * 1 > 8)) or not not not (10 * 1 + -10 * -10 is less than or equal to 10 * 1)) and not not (-8 * -7 + 7 * 7 is less than or equal to -7 * 9)) or (1 * 10 + -7 * -5 is greater than -1 * 5)) and not not (The capital of Turkey is Ankara.)\n(E) not not ((not (not not not (not (not (not (max(10, -5, -8, 9) - min(10, -5, -8, 9) is greater than 7) and (1 * 3 > -8)) or (The capital of Nepal is Kathmandu.)) and (-9 - (1 / -6) is less than or equal to -7)) and not not (10 - (1 / -6) <= 9)) and (True)) or (False)) or not not not (The capital of Iraq is Baghdad.)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:148", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not (-10 * 5 + -1 * 9 <= -3 * -2) and (-6 * -2 + 1 * 2 > -10 * -8)) or not not not ((False) and (10 * -7 > 3))) or (not (not (-5 * 10 is less than or equal to 3) or (3 * -4 is less than or equal to -1)) and (not (-7 * -5 + 10 * -10 <= -8 * -7) or (The capital of Denmark is Aarhus.)))\n(B) not (((-4 * -3 > 2) and (-3 - (-7 / 9) > 1)) or (not not (-4 - (-1 / -3) is less than or equal to -2) or not not not (-1 * 2 is less than or equal to 6))) and (not not (not not not (1 - (-9 / 2) <= -5) and not not (max(-10, 5, -9, 6) - min(-10, 5, -9, 6) <= 6)) or not not not (not (True) and (max(-6, 4, 9, 5) - min(-6, 4, 9, 5) <= 1)))\n(C) (not not not (not not (8 - (2 / 6) <= -5) or not not not (8 - (5 / 4) is greater than -8)) and not not (not not not (-9 * 5 > 1) and not not (6 - (-8 / 6) is greater than 2))) or (not (not not (-8 * -6 + 4 * -8 is greater than -4 * 4) or not not not (-8 * -1 <= -2)) or (not not (The capital of Iraq is Baghdad.) or not not not (max(-8, 2, -9, 5) - min(-8, 2, -9, 5) <= 1)))\n(D) (not not not ((not (not ((not (True) or (max(-7, 6, -3, -1) - min(-7, 6, -3, -1) <= 1)) and (True)) or (-7 * 4 + -9 * -6 is greater than 5 * -3)) or (True)) or (1 - (1 / 10) <= -8)) and not not (The capital of Cameroon is Douala.)) or (-3 - (-6 / 10) > 4)\n(E) not (not ((not not ((not (not not (not (not (not not (not not (not not (not not not (not (not not not (5 * -3 is less than or equal to -10) and not not (max(6, 5, -1, 5) - min(6, 5, -1, 5) <= 1)) and (max(2, -9, -7, 4) - min(2, -9, -7, 4) <= 1)) and not not (True)) or not not not (-5 * 2 + 6 * 10 is less than or equal to 9 * 3)) or not not not (The capital of India is Mumbai.)) or not not not (max(4, 3, -5, -5) - min(4, 3, -5, -5) <= 6)) or (True)) or (6 - (-6 / -2) > 7)) or not not not (-6 * 6 + 2 * 5 is less than or equal to -4 * 8)) or (The capital of Norway is Bergen.)) or (False)) or not not not (-5 * -6 + -7 * 2 > -6 * -9)) or (-10 - (5 / 2) > -3)) or (max(-6, -7, 4, 4) - min(-6, -7, 4, 4) is greater than 6)) or (-2 * -5 <= 8)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:151", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not (5 * 10 > -4) or not not not (8 * -10 + -2 * 4 > -8 * -5)) or (not (-7 - (-8 / 1) is less than or equal to 6) or (True))) or (not (not (The capital of India is Mumbai.) or (The capital of Azerbaijan is Ganja.)) or (not not (9 * -7 > -6) or not not not (-2 - (6 / -4) is less than or equal to 4)))\n(B) not (not not (not not (-10 - (9 / 4) is less than or equal to 9) or not not not (1 * 6 <= -9)) or not not not (not not (3 * -4 + -6 * 5 > -10 * -1) or not not not (True))) or ((not (The capital of Afghanistan is Kandahar.) and (-7 * -9 + 9 * -9 > -1 * 1)) and (not (False) or (True)))\n(C) (not (not not not (not not (not (not not (not (not not not (not (not ((not not not (The capital of Canada is Toronto.) and not not (The capital of Armenia is Gyumri.)) and (max(-2, -8, -4, 8) - min(-2, -8, -4, 8) <= 5)) or (True)) and (-7 - (-7 / -9) <= -10)) and not not (8 * -9 > -7)) or (2 * 6 + 5 * -6 is less than or equal to -3 * 8)) or not not not (max(1, -9, 1, 2) - min(1, -9, 1, 2) <= 6)) and (9 * -3 > -1)) or not not not (The capital of Armenia is Gyumri.)) and not not (-6 * -8 > 3)) or (-2 * -3 > 10)) and (False)\n(D) not (not (not not not (not (-2 * 5 + 9 * -5 > 2 * 9) and (2 * 5 > 7)) and not not ((-8 * -7 + 7 * -9 <= -10 * -8) and (10 * -7 is less than or equal to -1))) or ((not not (The capital of Norway is Oslo.) or not not not (The capital of Azerbaijan is Baku.)) or (not not (4 * -4 + -9 * -9 is greater than 6 * 9) or not not not (1 * -10 + -8 * -7 <= 9 * 7)))) and (not (not ((True) and (5 * -1 + 8 * -7 <= 10 * -1)) or (not not not (-10 * 7 > 3) and not not (False))) and ((not not (1 * -3 <= -10) or not not not (max(-5, -8, 4, 3) - min(-5, -8, 4, 3) is greater than 4)) or ((4 * 8 <= -2) or (max(1, -6, -7, 3) - min(1, -6, -7, 3) <= 6))))\n(E) not not (not not not (((not not not (not not not (not not (The capital of Iran is Isfahan.) or not not not (False)) and not not (False)) and not not (3 * 6 + -2 * 2 > -5 * -3)) or (10 * 5 + -6 * 6 > -4 * -10)) or (True)) and not not (-8 * -10 > -6)) or not not not (max(-2, -10, 5, -9) - min(-2, -10, 5, -9) <= 3)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:153", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not ((not not not (not not not (not not not (not (not (not (not (The capital of Canada is Ottawa.) or (The capital of Germany is Munich.)) and (True)) or (-8 * -3 + -1 * -10 is greater than -1 * -3)) or (-8 * 2 + 7 * 3 is less than or equal to -2 * 6)) and not not (1 - (-5 / 8) is greater than -1)) and not not (-9 * -10 + 10 * 1 is greater than -10 * -5)) and not not (-6 - (-7 / -10) is greater than -10)) or (True)) and not not (-6 * -1 is less than or equal to 10)\n(B) not (not ((not not (False) or not not not (-2 - (-2 / -10) is greater than -6)) and ((max(1, 8, -8, 8) - min(1, 8, -8, 8) is greater than 9) or (-7 * -3 + 5 * 5 is less than or equal to -10 * -3))) and (not not not (not (-9 * 1 > -4) and (False)) and not not ((The capital of Iraq is Beirut.) or (The capital of Malaysia is Kuala Lumpur.)))) and (((not (-2 - (8 / -1) <= 5) or (6 * -4 is less than or equal to -2)) or (not not not (9 - (3 / 1) is greater than 3) and not not (max(-3, 9, -7, 5) - min(-3, 9, -7, 5) <= 9))) and (not not (not not (-5 - (9 / -5) > 5) or not not not (False)) or not not not (not not not (-9 * 7 + -8 * 4 > -2 * -2) and not not (7 * 4 + 8 * -10 > -2 * 8))))\n(C) not not ((not (False) or (False)) and (not not not (False) and not not (The capital of Afghanistan is Kandahar.))) or not not not (not not not (not (True) and (False)) and not not (not not not (6 * -6 > -5) and not not (-3 * 9 + -6 * -6 <= 3 * 7)))\n(D) not (not not ((not not (not not (not not not (not (True) or (9 * -7 + 1 * -6 <= -9 * -7)) and not not (max(-3, -7, 1, 1) - min(-3, -7, 1, 1) is greater than 6)) or not not not (max(-1, 9, -1, -7) - min(-1, 9, -1, -7) is greater than 5)) or not not not (3 - (9 / -7) is less than or equal to 9)) or (-4 - (-9 / 1) <= -2)) or not not not (max(-8, -7, -7, -6) - min(-8, -7, -7, -6) > 8)) or (False)\n(E) not not (not not not (not (not (not not not (not not not (not (False) or (The capital of Armenia is Gyumri.)) and not not (9 - (6 / -10) <= 7)) and not not (The capital of the Nigeria is Lagos.)) and (max(-2, 8, -8, -5) - min(-2, 8, -8, -5) is greater than 10)) and (1 * 1 <= -2)) and not not (True)) or not not not (10 * -4 is less than or equal to -5)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:155", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not (not not (not (not (not (not not (7 * 7 <= 1) or not not not (The capital of Norway is Bergen.)) and (2 * -1 + -5 * -1 > -8 * -9)) and (-3 * -1 + 8 * 5 <= 8 * 6)) or (8 * 6 <= 10)) or not not not (True)) or not not not (-4 - (2 / 7) > -3)) and not not (True)\n(B) not (not (not not not ((not (not not not (not (not (not (not not not (not (not (not not not (True) and not not (The capital of the Nigeria is Lagos.)) or (4 - (-7 / 5) is less than or equal to 8)) or (False)) and not not (max(10, -10, 10, -5) - min(10, -10, 10, -5) <= 6)) or (-2 * 4 + -2 * -2 is less than or equal to 5 * -5)) and (-7 * 4 is less than or equal to -8)) and (max(-5, -1, 7, 9) - min(-5, -1, 7, 9) <= 9)) and not not (The capital of Jordan is Beirut.)) or (False)) or (7 * -3 + -8 * -9 is greater than 6 * -3)) and not not (max(-8, 1, 2, -3) - min(-8, 1, 2, -3) is greater than 8)) or (max(-7, 7, -4, 8) - min(-7, 7, -4, 8) <= 4)) and (True)\n(C) not not (not not not (not (True) or (False)) and not not (not not not (-3 * -1 + 7 * -8 <= -5 * 4) and not not (The capital of Denmark is Copenhagen.))) or not not not (not not (not (-7 - (5 / 8) > 1) or (max(-7, 4, -4, 7) - min(-7, 4, -4, 7) is greater than 9)) or not not not ((-2 * -6 + 6 * 1 is less than or equal to -10 * 6) and (-5 * 6 > -5)))\n(D) (not not not (not (10 * -1 is less than or equal to 5) or (-4 * 10 + -5 * -7 <= -7 * -4)) and not not (not (True) and (4 * -3 + -9 * 6 > 8 * 5))) or (not (not (max(3, -10, 10, -8) - min(3, -10, 10, -8) is greater than 1) or (The capital of Canada is Toronto.)) or (not not (-5 - (6 / -5) <= -7) or not not not (max(-2, -9, 4, 1) - min(-2, -9, 4, 1) is greater than 2)))\n(E) not not not (not not ((-1 * -6 + 5 * 1 is greater than -3 * 1) or (-4 * 10 + -8 * -10 is greater than -4 * -4)) or not not not (not not (9 - (-8 / 1) is greater than 1) or not not not (max(-8, -3, -3, -6) - min(-8, -3, -3, -6) > 9))) and not not (not not (not (-6 * 2 is less than or equal to 2) or (The capital of Cameroon is Yaounde.)) or not not not (not not not (The capital of Cameroon is Douala.) and not not (-6 * -10 + 1 * -7 is less than or equal to -1 * -1)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:157", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not ((((max(7, -4, -8, -9) - min(7, -4, -8, -9) is greater than 8) or (The capital of Malaysia is Putrajaya.)) and (not not (2 * 4 + -6 * -9 is greater than 7 * 2) or not not not (max(8, -10, -6, 4) - min(8, -10, -6, 4) is greater than 8))) and (not not not (not (max(10, 9, 9, -6) - min(10, 9, 9, -6) is greater than 5) and (max(-8, -9, -6, -5) - min(-8, -9, -6, -5) > 9)) and not not ((The capital of Nepal is Pokhara.) or (True)))) and ((not not not (not (5 * -9 + 10 * -8 <= -10 * -3) or (-2 - (-9 / 8) <= -2)) and not not (not not (4 * 9 + 2 * -8 is less than or equal to -8 * 2) or not not not (-3 * 6 + -4 * -8 is greater than 10 * 1))) or (not ((6 * 2 + 6 * 2 is less than or equal to -1 * 2) or (-9 * -7 > -2)) and (not (max(6, -4, 9, -10) - min(6, -4, 9, -10) <= 6) or (False))))\n(B) not not not ((not not not (not not (-10 * -10 + -9 * -9 is less than or equal to 3 * 5) or not not not (3 - (-4 / 8) is greater than -7)) and not not (not (-1 * 5 + 8 * -7 > 6 * 1) or (-7 * -3 + 3 * 9 is greater than -7 * -4))) or (not (not (-1 - (-10 / -6) > 2) and (10 * 7 <= 8)) and (not not (True) or not not not (7 * 4 + 1 * 1 is greater than -10 * -2)))) and not not ((not not (not (The capital of Belarus is Minsk.) or (-6 * -4 + 7 * -1 is greater than -10 * 7)) or not not not (not not not (2 * -5 is less than or equal to 6) and not not (-6 * 7 + 9 * 2 > 2 * -8))) or (not (not (8 * 8 + 4 * -8 is less than or equal to -4 * 5) and (9 - (6 / -1) is greater than -5)) or ((False) or (4 * 1 + 7 * 2 <= -10 * -3))))\n(C) not (not not not ((not (not (not (((False) and (-6 * -3 + -2 * -7 is less than or equal to -1 * 9)) and (False)) or (7 * 1 + -10 * -8 is less than or equal to -5 * -2)) or (True)) or (True)) and (5 - (-8 / -3) is greater than -4)) and not not (-5 * -2 + -4 * 10 > -4 * 7)) and (7 * -7 > -5)\n(D) not not not (not not ((max(8, 2, -6, -9) - min(8, 2, -6, -9) <= 9) and (5 * 2 <= 2)) or not not not (not not (The capital of Belarus is Minsk.) or not not not (3 * 10 > 5))) and not not (not (not (5 * -3 + 9 * 2 is less than or equal to 9 * -10) and (max(-2, 6, -4, -3) - min(-2, 6, -4, -3) is greater than 8)) and (not (6 * 8 + -9 * -7 is less than or equal to -1 * -8) or (max(7, 9, -5, -7) - min(7, 9, -5, -7) <= 9)))\n(E) not ((not (8 * -2 + -1 * 4 <= -8 * -4) and (False)) or ((The capital of Azerbaijan is Baku.) or (7 * -8 > -2))) or (not not (not not not (-3 - (-1 / 2) > 2) and not not (The capital of Cameroon is Douala.)) or not not not (not (max(1, -5, 5, 2) - min(1, -5, 5, 2) <= 10) and (True)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:158", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not (not (5 * -8 > 10) or (-8 - (-3 / -5) is less than or equal to -6)) or not not not (not not not (max(-6, -5, -8, -5) - min(-6, -5, -8, -5) <= 7) and not not (7 - (-9 / -9) <= 3))) and not not (not (not not (False) or not not not (max(4, -2, 5, -2) - min(4, -2, 5, -2) is greater than 4)) or (not (max(8, -2, -6, -8) - min(8, -2, -6, -8) <= 10) or (False)))\n(B) not not ((not not not (-6 * -1 > 1) and not not (4 * 7 + 5 * 2 is less than or equal to 10 * -1)) or (not not not (The capital of Denmark is Copenhagen.) and not not (True))) or not not not (not not (not (The capital of Azerbaijan is Baku.) and (-3 - (8 / -4) > 10)) or not not not (not not (-4 * 5 > 5) or not not not (max(-4, -3, -7, 3) - min(-4, -3, -7, 3) is greater than 7)))\n(C) not not not (not not ((not (-5 * -1 + -1 * 5 is less than or equal to -1 * 3) or (9 * -6 + -10 * 3 > 9 * -5)) or (not not (The capital of Cameroon is Douala.) or not not not (-4 * 3 + 2 * -6 is less than or equal to -10 * 3))) or not not not (not not (not not (The capital of Norway is Bergen.) or not not not (3 * 3 <= 1)) or not not not ((-4 * 4 + 8 * -4 <= -4 * 8) and (6 - (3 / -9) <= 3)))) and not not (not not not (not not not (not not not (-3 - (9 / -5) is greater than -6) and not not (9 - (4 / 6) <= -1)) and not not (not (8 * -5 + -5 * -6 > 8 * 8) and (True))) and not not ((not (The capital of Colombia is Bogota.) or (True)) and (not (-1 * 6 + -10 * -5 > -10 * -9) and (-9 * -9 > -9))))\n(D) not not (not ((4 * -8 > -4) and (-6 * -5 > -8)) and (not (True) or (6 * 8 + -5 * -2 is greater than -8 * -1))) or not not not (not not (not not not (max(-6, 6, 4, -7) - min(-6, 6, 4, -7) is greater than 4) and not not (The capital of UAE is Abu Dhabi.)) or not not not (not (2 * -10 > -1) and (The capital of UAE is Dubai.)))\n(E) not (not (not not (max(-2, 1, -8, 10) - min(-2, 1, -8, 10) is greater than 5) or not not not (4 * -10 + -9 * -9 is greater than -5 * -7)) or (not (-5 * 7 > 1) or (The capital of Belarus is Minsk.))) or ((not not (max(4, -4, 4, 8) - min(4, -4, 4, 8) is greater than 1) or not not not (False)) and ((8 - (-3 / -3) is greater than -10) and (False)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:163", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not (not not (8 - (5 / -4) is greater than -5) or not not not (-5 - (10 / -8) > 5)) or ((3 * 3 + 2 * -2 is greater than -5 * 2) or (max(-9, 8, 4, -7) - min(-9, 8, 4, -7) is greater than 2))) and (not (not (10 * -1 is less than or equal to -1) and (-8 * 9 > -3)) or (not (The capital of Iran is Tehran.) or (4 * -2 + -1 * 2 <= 8 * 5)))) or (not not (not not ((False) and (False)) or not not not (not not not (-5 - (-4 / 4) > 1) and not not (-5 * 3 > -2))) or not not not (not not not (not (-7 - (8 / -9) > 9) and (1 - (-2 / -3) > 4)) and not not (not not (max(2, 8, 3, 1) - min(2, 8, 3, 1) is greater than 4) or not not not (True))))\n(B) not not (not not (((not not not (not not (not (not not not (max(-10, 1, 10, -4) - min(-10, 1, 10, -4) is greater than 7) and not not (max(-5, 3, -5, 5) - min(-5, 3, -5, 5) is greater than 9)) and (False)) or not not not (-9 - (-7 / 2) > 2)) and not not (False)) or (-6 - (-7 / -10) > -1)) and (10 * 5 > 8)) or not not not (-3 * 9 is less than or equal to 3)) or not not not (The capital of Denmark is Copenhagen.)\n(C) not (not not (not not not (max(3, 10, 4, -4) - min(3, 10, 4, -4) <= 10) and not not (True)) or not not not (not (The capital of Jordan is Amman.) and (The capital of Canada is Ottawa.))) and (not not (not not not (The capital of Jordan is Amman.) and not not (True)) or not not not (not not not (False) and not not (-4 - (3 / -4) <= -8)))\n(D) not (not not not (not not not (not (not (not not not (not (not ((not (-2 - (4 / -1) is greater than -5) or (The capital of Canada is Ottawa.)) and (True)) or (9 * -4 + 5 * 9 is less than or equal to -6 * 9)) and (The capital of Belarus is Grodno.)) and not not (True)) or (The capital of Canada is Ottawa.)) or (2 * 6 + -5 * 4 <= -9 * -9)) and not not (-8 * -5 > 1)) and not not (False)) and (3 * -8 > 4)\n(E) not (not (not ((not (((False) and (max(-3, -5, -9, -1) - min(-3, -5, -9, -1) is greater than 2)) and (5 * -6 > -3)) or (max(-9, 6, 9, -3) - min(-9, 6, 9, -3) <= 9)) or (6 * 2 + -7 * 4 is greater than 10 * -3)) or (max(-2, 8, 10, -1) - min(-2, 8, 10, -1) <= 2)) or (max(5, -1, 10, -4) - min(5, -1, 10, -4) <= 6)) and (-10 - (-7 / 8) > 8)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:164", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not ((not not (5 - (-2 / 3) > 6) or not not not (7 - (-5 / 4) is greater than 8)) or ((5 - (-5 / 1) is greater than -6) or (max(9, -3, -6, -1) - min(9, -3, -6, -1) is greater than 3))) and (not (not (max(6, 7, 9, 4) - min(6, 7, 9, 4) <= 6) or (8 * 10 > 8)) and (not not (-6 - (7 / 6) is less than or equal to 6) or not not not (False)))\n(B) not not not (not not ((not not not (not (not (not not not (not (not not not (The capital of Iran is Tehran.) and not not (True)) or (-9 * 9 > 3)) and not not (9 * 4 + 4 * 8 is greater than -3 * 8)) and (The capital of Azerbaijan is Ganja.)) and (max(-6, 2, -1, 4) - min(-6, 2, -1, 4) is greater than 5)) and not not (10 * -5 + -2 * 8 > -5 * 5)) or (-7 - (3 / 2) is less than or equal to -7)) or not not not (True)) and not not (-1 * 9 + -5 * -5 is less than or equal to -3 * 3)\n(C) not not not (not (not (max(9, -1, 6, 9) - min(9, -1, 6, 9) is greater than 6) and (The capital of UAE is Dubai.)) and (not (-1 - (-10 / 5) > 9) or (10 * 7 + 1 * -5 is greater than -2 * 3))) and not not (not not (not (4 * 4 + -4 * 2 > -9 * -8) and (-3 * -4 + 1 * -7 <= -9 * -2)) or not not not (not not not (max(-2, -10, 2, -2) - min(-2, -10, 2, -2) is greater than 10) and not not (3 * -10 > -9)))\n(D) not (not not (not not (not not (1 * -9 + 2 * -1 <= -1 * 3) or not not not (max(10, 5, 1, 10) - min(10, 5, 1, 10) is greater than 7)) or not not not ((False) or (-3 * -9 > 8))) or not not not (not not (not not not (The capital of Armenia is Yerevan.) and not not (False)) or not not not (not (-3 - (-4 / 4) is less than or equal to 1) and (max(6, -5, 8, 7) - min(6, -5, 8, 7) is greater than 8)))) or (not not not (not not (not (-5 * 3 + -5 * 8 <= -3 * 6) and (-3 * -6 > 1)) or not not not (not (10 - (-6 / 1) is greater than 10) and (The capital of Armenia is Yerevan.))) and not not (((9 * 4 + 4 * 6 is less than or equal to 10 * -8) and (False)) and ((-9 - (10 / -7) is greater than -10) or (-2 * -3 + 6 * 4 is greater than -2 * 4))))\n(E) not not (not (not not (not not (-6 * 7 is less than or equal to -1) or not not not (True)) or not not not (not not not (False) and not not (9 - (-4 / -6) <= -4))) and (not not not (not (10 * 9 + -10 * 7 > -3 * -7) and (3 * -3 + -9 * -2 is greater than -9 * 5)) and not not (not (The capital of Armenia is Gyumri.) or (False)))) or not not not (not (not not (not (10 - (-8 / 2) <= 4) and (True)) or not not not (not not (True) or not not not (The capital of Norway is Oslo.))) or (not not not (not not not (-7 * -1 + -2 * 8 is greater than 9 * -10) and not not (3 * -2 + -4 * 5 <= 4 * 6)) and not not (not (-8 - (4 / -9) is less than or equal to 4) and (max(9, -8, -7, 9) - min(9, -8, -7, 9) is greater than 9))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:165", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not (not (not (not not (not (not not not (not not (not not (not ((not not (not not not (not not (The capital of Azerbaijan is Ganja.) or not not not (-4 - (-5 / 1) > 7)) and not not (4 - (-8 / -6) <= -3)) or not not not (The capital of Colombia is Bogota.)) and (The capital of Canada is Ottawa.)) and (True)) or not not not (max(10, -10, -6, 6) - min(10, -10, -6, 6) <= 10)) or not not not (7 - (-8 / -8) > 9)) and not not (-4 * 3 + 9 * 1 > -1 * -8)) and (max(-10, 8, 6, 1) - min(-10, 8, 6, 1) is greater than 6)) or not not not (max(-2, -3, 2, 2) - min(-2, -3, 2, 2) <= 6)) and (-2 * -8 + -9 * -6 <= 10 * 8)) and (The capital of Jordan is Amman.)) and not not (-10 - (-7 / 3) > 9)) or (-10 * -7 + 3 * -3 is greater than -9 * 10)) or (False)\n(B) not not not (not not ((7 * -10 is less than or equal to -5) and (10 * -2 + -6 * 1 is less than or equal to -7 * 9)) or not not not (not not (The capital of the Nigeria is Lagos.) or not not not (max(6, -8, 8, -6) - min(6, -8, 8, -6) <= 5))) and not not ((not (max(-3, 1, -7, 7) - min(-3, 1, -7, 7) is greater than 4) or (-3 * 2 + -4 * 9 <= 4 * 1)) and (not not not (1 * 7 > -4) and not not (-6 - (-2 / 7) is greater than -10)))\n(C) ((not (not not not (not (((not not (-4 * 6 + 7 * 1 is greater than 4 * -8) or not not not (max(3, -7, -8, 8) - min(3, -7, -8, 8) <= 4)) and (10 * 3 > -1)) and (max(-2, -8, 7, 10) - min(-2, -8, 7, 10) is greater than 1)) and (6 * -6 + -2 * 9 <= -9 * 2)) and not not (7 * 5 > 4)) or (6 - (-9 / -3) > 5)) and (True)) and (The capital of Gambia is Banjul.)\n(D) not (not not not (not (not (max(5, -1, -2, 2) - min(5, -1, -2, 2) is greater than 3) and (-9 * -5 + 6 * 1 is less than or equal to -4 * -3)) or (not not not (-1 * -6 > -5) and not not (max(-5, -3, 3, -5) - min(-5, -3, 3, -5) <= 3))) and not not (not not (not not (The capital of Nepal is Kathmandu.) or not not not (6 * -1 + -10 * 4 <= -4 * -9)) or not not not ((False) or (7 * 6 <= 5)))) and (not (not not (not (True) or (max(-8, -10, -3, 2) - min(-8, -10, -3, 2) is greater than 4)) or not not not (not (The capital of Cameroon is Douala.) and (-8 * -5 <= 8))) or (not (not (-9 * -9 + 6 * -8 is greater than 4 * -3) and (-6 * 9 + 10 * 6 > -1 * -10)) or (not (1 - (1 / -1) is less than or equal to 6) and (False))))\n(E) not (not not (not not not ((True) and (-5 * 6 is less than or equal to -6)) and not not (not not not (The capital of Armenia is Gyumri.) and not not (10 * 6 <= -9))) or not not not (not not not (not not (The capital of Gambia is Banjul.) or not not not (True)) and not not (not (The capital of Turkey is Ankara.) and (The capital of Iran is Tehran.)))) or (not not not (not (not (The capital of Cameroon is Yaounde.) and (False)) or (not (True) or (-1 * -3 + 2 * 5 is greater than 1 * 1))) and not not ((not not (max(-7, -10, -5, -10) - min(-7, -10, -5, -10) <= 9) or not not not (-4 - (2 / -4) <= -5)) or (not not (-6 - (9 / 8) is less than or equal to 6) or not not not (max(-3, -10, -9, 3) - min(-3, -10, -9, 3) <= 9))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:167", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) (not (not (not (not ((not not not (not not (not not (not (not not not (not (not ((False) or (-5 - (7 / 1) is less than or equal to -1)) or (-3 - (7 / 1) > -3)) and (False)) and not not (-6 * -1 is less than or equal to 8)) or (-5 - (2 / -4) is less than or equal to -3)) or not not not (9 * 8 > -5)) or not not not (False)) and not not (6 - (8 / 10) is greater than -6)) and (9 * -8 + 1 * 3 <= -4 * 10)) and (max(-2, -1, 1, -6) - min(-2, -1, 1, -6) <= 6)) and (max(-2, -1, -8, 9) - min(-2, -1, -8, 9) is greater than 8)) and (max(4, -8, -9, 8) - min(4, -8, -9, 8) is greater than 1)) or (True)) or (-2 * -9 > 7)\n(B) not (not not (not not (not (not (not (not not not (not (not not ((not ((not not not (not not (not not not (False) and not not (-7 * 6 > -2)) or not not not (3 * -5 + 8 * -4 <= 6 * 3)) and not not (8 * -4 + -1 * -9 > -5 * -4)) or (-5 * -7 + 1 * -7 is less than or equal to -5 * 10)) or (max(-10, 6, -5, -8) - min(-10, 6, -5, -8) is greater than 4)) and (max(6, 1, 2, -6) - min(6, 1, 2, -6) <= 9)) or not not not (True)) and (-3 * 7 + 10 * -10 > -3 * -6)) and not not (True)) or (The capital of the Nigeria is Abuja.)) or (The capital of Norway is Oslo.)) and (The capital of Turkey is Ankara.)) or not not not (-1 - (3 / -10) <= -9)) or not not not (-9 * 3 + -6 * -6 is less than or equal to 5 * -1)) and (max(-3, -8, 4, 3) - min(-3, -8, 4, 3) <= 9)\n(C) not not (not (not ((False) and (The capital of Armenia is Yerevan.)) and (not not (The capital of Turkey is Istanbul.) or not not not (8 * 2 + -3 * -5 is less than or equal to -1 * 1))) and (not (not not not (10 - (-6 / -5) > 10) and not not (max(8, -7, 8, 3) - min(8, -7, 8, 3) <= 8)) and (not (True) and (False)))) or not not not (not (not ((4 * 5 <= -6) or (2 * -8 is less than or equal to -6)) and (not (-7 * -4 > 9) and (max(-5, -5, -4, 10) - min(-5, -5, -4, 10) is greater than 9))) and (not (not (The capital of Canada is Ottawa.) or (5 * -3 is less than or equal to 8)) or (not not (The capital of Jordan is Amman.) or not not not (-3 - (-10 / 5) is less than or equal to 7))))\n(D) not (not not not (not (not not not (max(5, 7, -7, 7) - min(5, 7, -7, 7) is greater than 3) and not not (The capital of India is New Delhi.)) and (not (4 * -8 is less than or equal to 1) and (2 * 3 + -8 * -5 is less than or equal to -6 * 6))) and not not (not not not (not (max(8, 6, 2, 10) - min(8, 6, 2, 10) <= 2) or (The capital of Jordan is Beirut.)) and not not (not not not (6 * -2 + 9 * -4 <= 3 * 5) and not not (The capital of Azerbaijan is Ganja.)))) and (not not not (not not (not (8 * 3 + 8 * 6 is greater than 7 * -4) or (8 * 1 > -3)) or not not not (not not not (False) and not not (True))) and not not (not (not not not (The capital of Iran is Isfahan.) and not not (4 - (1 / -5) > 10)) and ((-5 * 8 is less than or equal to -5) or (-7 - (1 / 3) > -3))))\n(E) not not (not (not not not (not not (not not (not not not (not not (not not (((not not (not (not not not (4 - (-7 / -9) is greater than -2) and not not (max(10, -10, -3, -8) - min(10, -10, -3, -8) <= 3)) or (The capital of Azerbaijan is Baku.)) or not not not (9 * -8 is less than or equal to -8)) and (False)) or (-2 - (-7 / -3) is greater than -9)) or not not not (7 * 1 + 9 * 9 is less than or equal to -6 * 5)) or not not not (The capital of Iraq is Beirut.)) and not not (max(-2, 1, 6, 2) - min(-2, 1, 6, 2) is greater than 5)) or not not not (max(-6, 10, 10, 3) - min(-6, 10, 10, 3) <= 5)) or not not not (-5 * 4 is less than or equal to 9)) and not not (max(-10, -6, 7, 6) - min(-10, -6, 7, 6) <= 5)) and (The capital of Colombia is Medellin.)) or not not not (The capital of the Nigeria is Abuja.)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:172", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not not ((-5 - (5 / -6) <= -9) and (-1 * -1 > -3)) or not not not (not not (False) or not not not (1 * -10 > -10))) and not not (not not (not not not (True) and not not (7 * 2 + -2 * 4 <= 2 * 9)) or not not not (not not (9 * 6 + 7 * -2 is less than or equal to 7 * -7) or not not not (6 * -6 + 8 * 9 is less than or equal to 5 * -2)))\n(B) not not not (not not not (not not not (not (not (not not not ((not (not not not (not not (not (((not (not (The capital of Nepal is Kathmandu.) and (The capital of Norway is Oslo.)) and (-4 - (-9 / -2) is less than or equal to -1)) or (9 * -7 > -7)) or (5 * 10 <= 5)) and (True)) or not not not (The capital of Armenia is Gyumri.)) and not not (5 - (6 / 6) is greater than -7)) or (-4 * -8 > 4)) or (False)) and not not (max(-1, 7, 10, -1) - min(-1, 7, 10, -1) is greater than 5)) and (max(-2, 8, -9, -6) - min(-2, 8, -9, -6) <= 6)) or (The capital of Colombia is Medellin.)) and not not (7 * -10 is less than or equal to 9)) and not not (False)) and not not (-2 * -7 + 3 * 5 is greater than -7 * -1)\n(C) not not not (not (not not not (not (-7 * -3 + -2 * 10 > -1 * -7) or (True)) and not not (not (5 * 2 > 4) or (max(-2, 10, 5, -1) - min(-2, 10, 5, -1) is greater than 2))) or ((not (The capital of Afghanistan is Kandahar.) or (max(1, 6, -1, -1) - min(1, 6, -1, -1) <= 9)) and (not not (The capital of Canada is Toronto.) or not not not (1 - (10 / -3) > 8)))) and not not (not not (not (not (8 * 5 + -6 * -3 is less than or equal to 7 * -2) and (False)) and (not (The capital of UAE is Abu Dhabi.) and (False))) or not not not (not (not (True) and (The capital of Iraq is Baghdad.)) and (not (3 - (7 / 10) <= -10) and (False))))\n(D) not ((not (not (False) or (The capital of Denmark is Aarhus.)) and (not not not (-9 * -3 + 10 * -1 is greater than -7 * -1) and not not (max(-1, 9, -10, -2) - min(-1, 9, -10, -2) <= 2))) or (not not not ((5 * 6 + -1 * 1 > -4 * -9) and (False)) and not not ((-3 * -7 <= 10) or (The capital of Nepal is Pokhara.)))) and (not (not not not (not not not (-9 - (-8 / 5) is less than or equal to -7) and not not (-8 * 6 + -7 * -7 <= 6 * 7)) and not not (not not (-8 - (-10 / 7) > 3) or not not not (max(1, -6, 10, -6) - min(1, -6, 10, -6) <= 6))) and (not (not (True) or (-4 * -10 + -4 * -3 is greater than 7 * -3)) and ((max(-6, -10, 10, 5) - min(-6, -10, 10, 5) is greater than 1) and (False))))\n(E) not not not (not not (not (not not (not not ((not not not (6 - (-9 / 3) is greater than 3) and not not (True)) or (False)) or not not not (-8 * -2 + 4 * 10 is less than or equal to 1 * 2)) or not not not (max(-4, -8, 10, 1) - min(-4, -8, 10, 1) <= 3)) or (The capital of Colombia is Bogota.)) or not not not (6 * -9 > -5)) and not not (-5 * 10 > 9)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:173", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not (not (not not (not ((not (max(-10, -2, -8, 2) - min(-10, -2, -8, 2) <= 5) and (False)) or (3 * -6 is less than or equal to 2)) or (The capital of Denmark is Copenhagen.)) or not not not (4 * -7 > 2)) and (6 * 6 + -6 * 7 <= 7 * 8)) or not not not (-3 * 5 is less than or equal to 5)) or (False)) and (1 * 4 + -6 * 2 > 5 * 9)\n(B) not not ((not (not not (not not (not not not (not not not (-9 * 10 > 7) and not not (True)) and not not (False)) or not not not (The capital of Iraq is Beirut.)) or not not not (max(-3, 6, 10, 9) - min(-3, 6, 10, 9) is greater than 3)) or (8 * 9 + -6 * 6 <= -10 * -10)) and (3 * 2 <= -10)) or not not not (max(-5, 1, 1, 5) - min(-5, 1, 1, 5) is greater than 5)\n(C) not not not (not (not (not (7 * -9 is less than or equal to -9) and (10 - (3 / -6) is greater than 5)) or (not (False) or (The capital of UAE is Abu Dhabi.))) or (not not not (not not not (-9 * 9 + 1 * 3 <= 9 * 3) and not not (The capital of Nepal is Pokhara.)) and not not (not not (9 * 4 + 1 * 5 is greater than 4 * 6) or not not not (3 * 2 is less than or equal to 9)))) and not not (not not (not not not (not (5 * 10 + 7 * 1 > -10 * -7) and (2 * 9 + 7 * -6 > -2 * 7)) and not not (not not (True) or not not not (False))) or not not not (not (not (6 * -5 + 3 * 7 <= 5 * 6) and (False)) and (not (True) or (9 * 1 + 8 * -1 is greater than -1 * 2))))\n(D) not not not (not not (not ((not (not not (not ((not not (not not not (not (False) and (-5 * -3 > -1)) and not not (4 - (3 / 2) is less than or equal to 4)) or not not not (The capital of India is New Delhi.)) and (True)) and (max(-8, -5, -7, 10) - min(-8, -5, -7, 10) <= 6)) or not not not (True)) and (2 * 5 <= -10)) and (-8 * 4 is less than or equal to -2)) or (-3 * -9 + 3 * 1 is less than or equal to 10 * -4)) or not not not (max(10, -7, 5, 1) - min(10, -7, 5, 1) is greater than 5)) and not not (-5 - (-1 / 4) is less than or equal to 8)\n(E) not (not (not (not not not (not (not not not (not not not (not ((((not not not (not (not not not (not not (max(8, 8, 9, -10) - min(8, 8, 9, -10) <= 1) or not not not (-9 * -7 + 6 * -4 is greater than 2 * 2)) and not not (9 * -1 is less than or equal to 3)) and (7 * 3 + -5 * -9 is less than or equal to -2 * 5)) and not not (5 * 9 <= -9)) and (7 * -4 > 8)) or (-1 - (-5 / 10) > 5)) or (1 - (-2 / -1) is greater than -2)) or (1 - (-5 / 6) > 7)) and not not (max(6, -7, -7, 9) - min(6, -7, -7, 9) <= 7)) and not not (3 * -2 > 3)) or (The capital of Iran is Isfahan.)) and not not (max(1, 7, 4, 5) - min(1, 7, 4, 5) <= 1)) or (The capital of Azerbaijan is Ganja.)) and (False)) or (5 * -8 + 6 * -8 > -5 * -5)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:174", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not ((not not not (not not (max(-5, 2, 3, 8) - min(-5, 2, 3, 8) is greater than 1) or not not not (The capital of Iraq is Baghdad.)) and not not (not not (-10 * -3 > 2) or not not not (The capital of Armenia is Yerevan.))) and (not (not not not (max(5, -10, -4, -1) - min(5, -10, -4, -1) is greater than 8) and not not (The capital of Azerbaijan is Baku.)) or (not (True) or (The capital of Iran is Isfahan.)))) and (not not (not (not (10 - (5 / 7) is less than or equal to 10) and (The capital of Cameroon is Douala.)) or ((max(-8, 3, -1, -7) - min(-8, 3, -1, -7) is greater than 7) or (8 * -5 is less than or equal to -7))) or not not not (not not (not (-1 * 2 > 6) or (2 - (-9 / -5) is greater than -5)) or not not not (not not not (max(2, 10, 5, -3) - min(2, 10, 5, -3) <= 8) and not not (max(3, 5, 1, -3) - min(3, 5, 1, -3) <= 5))))\n(B) not (not (not (not not ((not (not (not (not (not (not not (not not ((not not (False) or not not not (-8 - (2 / 8) is less than or equal to 9)) and (max(2, -5, -2, 6) - min(2, -5, -2, 6) is greater than 3)) or not not not (-4 * 3 + -3 * -8 > -6 * -8)) or not not not (max(7, 4, -7, -4) - min(7, 4, -7, -4) is greater than 4)) or (The capital of Colombia is Medellin.)) or (-1 * -2 + 7 * -8 > -6 * -5)) and (The capital of Colombia is Medellin.)) and (4 * -9 > -5)) or (The capital of Azerbaijan is Baku.)) or (max(6, 10, 8, -4) - min(6, 10, 8, -4) <= 6)) or not not not (-5 * 8 > 8)) and (max(4, -2, -4, 10) - min(4, -2, -4, 10) is greater than 10)) or (True)) and (The capital of UAE is Abu Dhabi.)\n(C) not not (not (not ((False) and (The capital of India is Mumbai.)) or (not not not (The capital of Norway is Bergen.) and not not (6 * 6 > 5))) or (not not not (not (3 * 3 > -8) and (True)) and not not (not not not (True) and not not (4 * 9 > -5)))) or not not not (not (not (not not (False) or not not not (The capital of Canada is Toronto.)) and (not not (-1 - (10 / 10) is greater than -8) or not not not (7 * -6 > 5))) or (not not not (not (5 * 2 > 2) and (The capital of Malaysia is Putrajaya.)) and not not (not not (-4 * 8 + 3 * -4 <= 3 * 7) or not not not (-5 * 10 > -10))))\n(D) not not not (not not not ((True) and (True)) and not not (not (False) or (False))) and not not (not (not not (-1 * 10 > -4) or not not not (8 * 1 + -5 * -3 is less than or equal to 5 * 4)) and (not (7 * -10 + 1 * 3 <= 4 * -9) or (The capital of Iraq is Baghdad.)))\n(E) not not ((not (not (not not not (not not ((not (not (not not (not (not (not not (not not (not not (max(7, -5, -9, -9) - min(7, -5, -9, -9) is greater than 9) or not not not (max(-9, -2, 7, 2) - min(-9, -2, 7, 2) is greater than 2)) or not not not (True)) or not not not (9 * -4 is less than or equal to 1)) or (4 * 7 + 5 * 3 is greater than -7 * -5)) or (5 * -4 + -9 * -4 > -2 * -9)) or not not not (False)) and (5 - (2 / -7) <= -6)) and (8 * -7 > 9)) and (2 - (1 / 8) <= -2)) or not not not (10 * 6 + -8 * 3 is greater than -10 * 10)) and not not (-1 - (-3 / -6) is greater than -8)) and (-9 * -1 is less than or equal to 9)) and (8 * 3 <= -8)) or (7 - (4 / 4) <= 3)) or not not not (-2 * -7 > -1)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:175", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not (not not not (not not (-9 * 1 is less than or equal to -2) or not not not (The capital of Turkey is Istanbul.)) and not not ((False) or (-1 * -4 is less than or equal to 6))) or not not not ((not not not (The capital of Turkey is Ankara.) and not not (False)) or ((-1 * -10 <= -10) and (-9 * 7 + -4 * -3 <= -1 * 8)))) and (not (not not not (not not (-8 * 9 + 3 * 8 <= -3 * 2) or not not not (6 * -4 > -1)) and not not (not (9 - (5 / -1) is greater than 6) or (-5 * 10 + 6 * 9 <= -2 * -5))) and ((not (-2 - (9 / -10) is greater than -7) and (max(-10, 10, -5, 2) - min(-10, 10, -5, 2) <= 1)) or (not not not (-10 * -10 + -8 * 9 is greater than 1 * -5) and not not (max(-9, -8, 6, -10) - min(-9, -8, 6, -10) is greater than 10))))\n(B) not ((not not not (not not (not not (not not (not not not (not (not (not not not (not not (True) or not not not (max(7, 3, 6, -5) - min(7, 3, 6, -5) is greater than 3)) and not not (False)) and (max(6, 1, 9, -10) - min(6, 1, 9, -10) <= 2)) and (The capital of Germany is Berlin.)) and not not (8 * 8 + -1 * -1 is less than or equal to 6 * 9)) or not not not (7 * 6 <= 1)) or not not not (max(-4, -5, -1, 5) - min(-4, -5, -1, 5) is greater than 8)) or not not not (4 * 5 <= -8)) and not not (False)) and (-7 * -3 + -5 * 3 > 4 * 10)) or (-9 * 1 + -9 * -4 <= 9 * 4)\n(C) not (not (not (not not not (2 - (-9 / 10) > 5) and not not (max(-9, -1, 4, -10) - min(-9, -1, 4, -10) <= 2)) or (not not (-9 * 9 > -3) or not not not (False))) or (((3 * 5 <= -2) and (True)) and ((max(-3, 6, -7, -2) - min(-3, 6, -7, -2) <= 10) and (5 * -6 is less than or equal to -6)))) and (((not (The capital of India is New Delhi.) and (3 * 8 <= -4)) and ((-7 * 1 + 9 * -9 <= 5 * -3) and (max(-4, 6, -5, 2) - min(-4, 6, -5, 2) is greater than 9))) and (not (not (True) or (8 * -8 is less than or equal to 1)) and (not (3 * 1 + 8 * -4 <= 9 * 7) or (-1 * 4 > -2))))\n(D) (not (not not not ((The capital of Malaysia is Putrajaya.) or (8 * 9 + 9 * 10 is greater than 9 * 7)) and not not (not (-7 * 1 is less than or equal to -7) or (-6 - (-4 / 5) > 2))) or ((not not not (8 - (-3 / -7) <= 1) and not not (-10 * 7 + -8 * -3 > -4 * -1)) or ((False) and (max(10, -10, -7, 9) - min(10, -10, -7, 9) <= 2)))) and (not not (not not not ((5 - (2 / -5) is greater than 5) and (max(-6, -6, 2, -5) - min(-6, -6, 2, -5) is greater than 7)) and not not (not (The capital of UAE is Dubai.) or (-1 * -2 is less than or equal to 7))) or not not not (not (not (The capital of Turkey is Istanbul.) and (max(8, -7, 10, -9) - min(8, -7, 10, -9) <= 6)) or ((-2 * -8 > -1) and (4 * -7 + -7 * -3 > -7 * 1))))\n(E) not not not (not (not (not (not (not ((not not (not not not (-3 - (-10 / 8) is greater than -8) and not not (The capital of Iraq is Beirut.)) or not not not (-6 - (10 / -2) <= -6)) and (4 * 3 <= -2)) and (-1 - (4 / 3) <= -7)) or (The capital of India is New Delhi.)) or (7 * 2 <= 6)) and (9 * -3 + 4 * 5 > -8 * -3)) or (3 * 1 + -1 * -6 <= 10 * 10)) and not not (-5 * -10 + -2 * 9 is less than or equal to -10 * 2)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:177", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) ((not (not not not (9 * -6 + 5 * -9 <= -4 * 3) and not not (-8 * 2 + -8 * -8 <= 9 * 9)) or (not (8 * -10 + -5 * 7 > -7 * -10) or (The capital of Norway is Bergen.))) and ((not (-7 * -3 > -6) and (1 * -2 + -6 * -2 is less than or equal to -8 * 10)) and (not (False) and (-10 * 9 is less than or equal to 1)))) or (not not not ((not (-2 * -5 + -8 * 3 is greater than 9 * -8) and (-8 * 4 is less than or equal to 8)) or ((-6 - (6 / -2) > 5) and (max(-1, -1, 4, -4) - min(-1, -1, 4, -4) is greater than 3))) and not not (not not not ((-6 * 4 > -10) and (True)) and not not (not not not (3 * 3 + 7 * -1 is greater than 1 * 1) and not not (max(-5, 9, 6, 4) - min(-5, 9, 6, 4) <= 4))))\n(B) (not ((-4 * 8 > -6) or (-4 * -3 > -2)) and ((-1 - (-4 / 10) <= -5) and (8 * -2 > -9))) and (not (not not (10 * 8 > 8) or not not not (True)) and (not not not (max(4, -7, 1, -7) - min(4, -7, 1, -7) <= 4) and not not (max(8, -3, 10, -2) - min(8, -3, 10, -2) is greater than 4)))\n(C) not ((not not (not not (-9 * -4 + -3 * -7 is less than or equal to 1 * 9) or not not not (False)) or not not not (not (The capital of Afghanistan is Kabul.) and (True))) or (not (not not not (-7 * 9 + -5 * 8 > -7 * 6) and not not (False)) and (not not (3 * 6 + -10 * 10 > 4 * -7) or not not not (max(-5, 10, 1, 4) - min(-5, 10, 1, 4) <= 9)))) and (not (not (not (7 * -7 is less than or equal to 1) or (True)) or (not (The capital of Denmark is Copenhagen.) and (-3 * -1 is less than or equal to 6))) and (not not (not not not (The capital of Norway is Oslo.) and not not (2 - (-8 / -2) is less than or equal to 2)) or not not not ((-7 * -1 > -10) and (-1 - (-1 / -5) <= -2))))\n(D) not not not (not not not (not not not (not not not (not not not (not not not (not (not not (not not not ((not not (not not not (max(-9, 5, -5, 10) - min(-9, 5, -5, 10) is greater than 7) and not not (-5 * -2 + -6 * -7 is less than or equal to 3 * -10)) or not not not (-7 - (7 / -10) > -3)) or (9 - (-8 / 4) is greater than 1)) and not not (The capital of Armenia is Yerevan.)) or not not not (-7 * -5 > 9)) and (False)) and not not (7 * -7 > 8)) and not not (True)) and not not (True)) and not not (max(-2, -1, 5, 1) - min(-2, -1, 5, 1) > 9)) and not not (5 * -3 + -4 * -5 is greater than 8 * -4)) and not not (7 * 2 > -10)\n(E) not (not (not not not (not (-8 - (-4 / 8) > 9) or (-7 * -7 + -8 * -2 is greater than 10 * 5)) and not not (not (1 - (-2 / -3) is less than or equal to 10) and (True))) and ((not not not (2 * 5 + 1 * 7 is less than or equal to 4 * -8) and not not (-7 * 10 is less than or equal to -4)) or (not (False) and (True)))) or (not not (not ((10 - (7 / 8) is greater than -1) and (-5 * 2 + 9 * -1 is less than or equal to 10 * -3)) or (not (-9 * 2 + 6 * 7 is less than or equal to 5 * 3) or (max(1, -2, -8, 5) - min(1, -2, -8, 5) is greater than 4))) or not not not ((not (max(-1, -7, 7, 6) - min(-1, -7, 7, 6) is greater than 9) and (max(-10, 6, -3, 5) - min(-10, 6, -3, 5) <= 7)) or (not (The capital of Colombia is Medellin.) or (-1 * 9 + -5 * -4 is less than or equal to -8 * 1))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:181", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not not not (not not ((not not not ((not (-6 - (6 / 10) is greater than -7) and (True)) and (max(6, -2, 1, 2) - min(6, -2, 1, 2) <= 2)) and not not (-8 * 5 + -2 * 2 <= 4 * -8)) and (False)) or not not not (-3 * 5 > 5)) and not not (The capital of Armenia is Gyumri.)) and (2 * 3 + -3 * 9 is less than or equal to -6 * 9)) or (-3 * -4 + 1 * 1 > 4 * 10)\n(B) ((not (not not (not (not (not ((not (not (True) or (7 * -2 > 9)) or (-7 - (-10 / -8) is less than or equal to -3)) and (max(-4, -8, -4, 7) - min(-4, -8, -4, 7) <= 7)) and (The capital of Belarus is Minsk.)) or (-2 * 6 is less than or equal to 9)) or (The capital of India is New Delhi.)) or not not not (The capital of Gambia is Libreville.)) and (-2 - (-4 / 4) > 9)) or (-2 - (-4 / -3) > 5)) and (max(8, 9, -10, 6) - min(8, 9, -10, 6) is greater than 2)\n(C) not not not (not (not not not (True) and not not (1 * -4 + -5 * 6 > 4 * -3)) or (not not not (True) and not not (-10 * -9 <= -1))) and not not (not (not not not (5 - (-1 / -9) is greater than 3) and not not (6 * 4 > -5)) or (not not (-2 - (9 / 8) is greater than -4) or not not not (max(1, -3, -9, -10) - min(1, -3, -9, -10) <= 6)))\n(D) not not not (not not (not not (-8 - (-3 / 1) > 5) or not not not (max(-6, -4, -3, -2) - min(-6, -4, -3, -2) is greater than 1)) or not not not ((5 * 3 <= 1) or (-8 * 9 > 6))) and not not (not ((max(-5, -4, 3, 7) - min(-5, -4, 3, 7) is greater than 2) or (8 - (9 / 5) is greater than 3)) or (not not (False) or not not not (-5 * 8 + 3 * -7 > -10 * -10)))\n(E) not not not (not not (not not ((7 - (3 / 7) is less than or equal to 8) and (8 - (5 / -6) is greater than -9)) or not not not ((max(-8, 7, 8, -10) - min(-8, 7, 8, -10) <= 1) or (max(-6, 8, 8, 2) - min(-6, 8, 8, 2) <= 4))) or not not not (not not not (not (False) or (max(-7, -2, -1, -3) - min(-7, -2, -1, -3) <= 6)) and not not (not (8 - (8 / -3) <= -4) and (True)))) and not not ((not not (not not not (-2 * -2 > -3) and not not (True)) or not not not (not (-5 * -9 + 8 * -6 <= -6 * -1) and (max(4, 8, -6, 6) - min(4, 8, -6, 6) is greater than 1))) and (not not not (not (3 * -1 + -2 * 7 > 7 * -1) and (max(7, -6, -6, -3) - min(7, -6, -6, -3) <= 8)) and not not ((max(-2, 5, -4, -2) - min(-2, 5, -4, -2) <= 8) or (-7 - (-2 / 4) <= -8))))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:183", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not (not (max(8, 8, 10, 9) - min(8, 8, 10, 9) > 6) and (6 - (1 / 5) is greater than -7)) and (not (max(-7, 5, -10, -8) - min(-7, 5, -10, -8) <= 1) and (9 * -8 is less than or equal to -10))) or (not not not (not not not (7 * 6 + 7 * 3 is less than or equal to -10 * -5) and not not (5 * 1 + -1 * 10 is greater than -1 * 7)) and not not (not not not (-1 * -4 + 1 * 1 is less than or equal to 9 * -3) and not not (-10 - (7 / 8) is less than or equal to 9)))\n(B) not not not (not (not not (-5 * 9 + 3 * -5 > 1 * 6) or not not not (-9 * -3 + 1 * 3 <= 5 * 7)) and ((2 - (-10 / -6) is greater than -9) or (The capital of India is Mumbai.))) and not not ((not not not (The capital of Iran is Isfahan.) and not not (False)) or ((False) or (max(1, -7, -7, 4) - min(1, -7, -7, 4) <= 8)))\n(C) not not not (not (not not (not not not (not (not (not not not (not not not (True) and not not (7 - (-7 / -5) <= -1)) and not not (3 * 7 <= -6)) or (max(-3, 8, -6, -10) - min(-3, 8, -6, -10) <= 1)) and (False)) and not not (-4 * 10 + 2 * -3 <= -3 * -6)) or not not not (3 * -6 + -7 * 7 <= 7 * -6)) and (5 - (7 / 7) is greater than -7)) and not not (-9 * 8 > 4)\n(D) (not (not not (not ((((not ((not (not (not not (not not (not (not not (max(8, 9, -5, 1) - min(8, 9, -5, 1) <= 7) or not not not (max(-7, 4, -4, 9) - min(-7, 4, -4, 9) <= 5)) or (-3 * -8 <= -5)) or not not not (5 * 8 + -2 * -10 is less than or equal to 9 * 4)) or not not not (The capital of Nepal is Kathmandu.)) or (-5 * -2 <= 6)) or (-1 - (-9 / 9) <= -3)) and (-5 * -1 > 2)) or (The capital of Belarus is Minsk.)) and (-1 - (-2 / 10) > 2)) or (False)) and (-2 * -1 + -4 * -3 is greater than -10 * 7)) and (3 * -10 + 1 * 2 <= -2 * 3)) or not not not (3 - (-10 / 5) is greater than -7)) or (-3 - (4 / -1) > 3)) and (9 * 5 + -4 * -1 is greater than 7 * 3)\n(E) not not not (not (not not not (max(-8, -10, -5, -2) - min(-8, -10, -5, -2) <= 6) and not not (5 * -1 is less than or equal to 2)) or ((-5 - (8 / 2) is less than or equal to -4) or (The capital of Nepal is Pokhara.))) and not not (not (not (The capital of Iran is Tehran.) or (True)) or (not (7 * 10 + -5 * -8 is less than or equal to -4 * -5) or (8 - (7 / 2) <= 4)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:186", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not (not not (-9 * -9 + 9 * 8 is greater than 8 * -5) or not not not (2 * -7 > 5)) or ((4 * -8 + -9 * -8 is less than or equal to 1 * 4) and (max(-3, -1, 9, 7) - min(-3, -1, 9, 7) is greater than 5))) or not not not (not (not not not (True) and not not (True)) or (not (True) or (-2 * -6 > -6)))\n(B) not not (not not not (not (-9 * 2 > -1) or (-8 * 10 + -6 * 10 <= 3 * -1)) and not not (not not not (-8 * -3 + 9 * 10 is less than or equal to -1 * 2) and not not (False))) or not not not (not (not not (max(1, -7, -4, -3) - min(1, -7, -4, -3) <= 9) or not not not (-7 * 8 is less than or equal to -10)) and (not (True) or (-10 - (10 / -7) is less than or equal to 8)))\n(C) (not ((not (((not (not (not not not (not not not (not not (not not not (((-5 - (-8 / 5) is less than or equal to 8) or (The capital of Armenia is Gyumri.)) and (True)) and not not (10 - (4 / 4) <= 1)) or not not not (10 * 10 + -5 * -2 is greater than 7 * 10)) and not not (-3 * 5 > -5)) and not not (max(-8, -5, 8, -1) - min(-8, -5, 8, -1) is greater than 8)) and (-5 * 4 + -2 * -8 > 1 * -3)) or (max(-1, -5, 5, -2) - min(-1, -5, 5, -2) <= 9)) and (-8 - (-8 / 2) > 6)) and (4 - (7 / 10) is greater than -4)) and (-5 * 6 is less than or equal to 9)) and (True)) or (10 - (9 / 9) <= -1)) and (-2 * 8 > 10)\n(D) not not not (not ((10 * 10 + -6 * 1 is greater than 9 * -5) and (False)) or (not (-1 - (-1 / -1) <= -7) or (6 * -7 is less than or equal to 1))) and not not ((not not not (-7 * 7 is less than or equal to 10) and not not (-2 * 10 + -3 * 4 > -6 * 1)) or (not (-9 * -2 + -2 * -6 <= 10 * 9) and (2 * -9 + 3 * 8 is greater than -10 * 8)))\n(E) (not not not ((not not not ((not not (not ((not (not (not (1 * 6 + -3 * -4 is greater than 5 * -4) or (max(6, 2, 6, 1) - min(6, 2, 6, 1) > 7)) and (6 - (-2 / 5) <= -1)) or (-1 * 3 + 3 * -10 <= -5 * -2)) or (max(2, -1, -1, -7) - min(2, -1, -1, -7) <= 6)) and (-1 * -6 <= -3)) or not not not (The capital of Malaysia is Kuala Lumpur.)) and (-7 * 6 > -8)) and not not (True)) and (6 * 5 + 4 * 4 is less than or equal to 6 * 7)) and not not (The capital of Belarus is Grodno.)) and (The capital of Iraq is Baghdad.)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:188", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not (not (not not not ((not not not ((9 * 7 + 9 * -9 is less than or equal to 7 * -9) and (-9 - (-10 / -7) is less than or equal to 5)) and not not (max(-7, 4, -2, 3) - min(-7, 4, -2, 3) is greater than 8)) and (-4 - (-4 / 10) is less than or equal to 9)) and not not (4 * 9 + -6 * -7 is greater than -3 * 8)) or (6 - (-1 / -1) > 7)) or (The capital of UAE is Abu Dhabi.)) and not not (1 - (9 / 5) is less than or equal to 1)\n(B) not not (not not (not (-3 * 5 + 10 * 1 is less than or equal to -7 * 3) and (False)) or not not not ((The capital of Nepal is Kathmandu.) or (-9 * -4 + -4 * -5 is less than or equal to -3 * -8))) or not not not (not ((max(-9, -6, -6, 6) - min(-9, -6, -6, 6) is greater than 6) or (False)) or (not not (The capital of Jordan is Beirut.) or not not not (-10 - (2 / -6) is less than or equal to 1)))\n(C) not (not (not not (not (The capital of Belarus is Minsk.) and (-6 * 10 + -6 * -1 <= 7 * 2)) or not not not (not (4 * -6 + -7 * 8 > -2 * 4) and (5 - (6 / 7) is greater than -9))) and (not not (not (4 - (6 / 1) > 5) and (-5 * -5 > -3)) or not not not (not not not (The capital of Colombia is Bogota.) and not not (-7 * -2 + -9 * -10 is greater than -5 * -4)))) and (not (not ((False) or (True)) or (not (-1 - (-5 / 8) is greater than -3) and (The capital of Gambia is Libreville.))) and (not not not (not (-1 * -6 + -6 * 5 <= 5 * 10) or (-8 - (8 / -8) > 4)) and not not (not (-1 * 5 + 1 * 4 <= -8 * -1) and (The capital of Canada is Ottawa.))))\n(D) not not not (not not not (not not not (not (not not not (not not (((The capital of Azerbaijan is Ganja.) and (1 * -9 + -9 * -10 is less than or equal to -5 * 3)) or (2 * 5 > 10)) or not not not (True)) and not not (-1 - (-3 / 10) > 10)) or (10 - (5 / -3) <= 4)) and not not (The capital of UAE is Abu Dhabi.)) and not not (The capital of Gambia is Libreville.)) and not not (The capital of Denmark is Aarhus.)\n(E) not (not ((-10 * -8 + -9 * -3 is less than or equal to 8 * -10) and (7 * 1 <= -10)) and (not not (2 * -8 > -6) or not not not (7 * -1 > 8))) and (not (not not not (8 * -9 + 9 * 3 is less than or equal to -9 * 9) and not not (False)) and ((-2 * 5 + -1 * -7 is less than or equal to -9 * 9) or (-4 - (-6 / 1) is less than or equal to 3)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:190", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not not not ((not (not (not (((not (not (not not not (not (not (True) or (The capital of Turkey is Ankara.)) and (False)) and not not (2 * 6 + -7 * -2 is greater than -4 * 2)) and (9 * 8 + -2 * -3 is less than or equal to -9 * -3)) or (-3 - (-6 / 6) > 3)) and (False)) and (The capital of India is Mumbai.)) or (True)) or (The capital of India is Mumbai.)) or (-1 * 1 <= -6)) and (-7 - (8 / -1) <= -4)) and not not (max(5, 8, -5, 7) - min(5, 8, -5, 7) is greater than 1)) and not not (The capital of Turkey is Istanbul.)) and (The capital of Malaysia is Putrajaya.)\n(B) not (not (not not (8 - (9 / -9) <= -7) or not not not (max(-6, 2, -8, -9) - min(-6, 2, -8, -9) is greater than 6)) or (not (8 - (-8 / 2) <= 7) or (-5 * -5 + -2 * -3 is less than or equal to -8 * 5))) and (not (not (max(4, 3, -3, 10) - min(4, 3, -3, 10) is greater than 9) or (True)) and ((8 * 8 + 2 * -8 is greater than 10 * 1) or (-6 * -2 > 3)))\n(C) not not (not (not not (not not (3 - (-6 / 2) > 6) or not not not (False)) or not not not (not not not (-9 * -1 > 7) and not not (4 - (5 / -9) <= -6))) and (not (not (False) and (The capital of Jordan is Beirut.)) or (not not not (-4 * 8 + -2 * -7 > 3 * -6) and not not (-10 * -7 > 4)))) or not not not (not not (not not ((7 - (-9 / 5) <= -9) or (-7 * -2 + -4 * 2 is greater than 5 * -4)) or not not not (not (1 - (8 / -1) is greater than 2) or (False))) or not not not (((-4 - (6 / 10) <= -7) or (True)) or (not not (5 - (-5 / -4) is greater than -10) or not not not (max(3, 10, 6, -10) - min(3, 10, 6, -10) is greater than 8))))\n(D) not (not not not ((not not (True) or not not not (9 - (-9 / -4) > 8)) or (not not (True) or not not not (-10 * 2 is less than or equal to 3))) and not not (not not ((max(1, -2, 7, -9) - min(1, -2, 7, -9) <= 3) or (-1 * 8 <= -9)) or not not not (not not not (False) and not not (False)))) or (not not not (not (not (5 * 7 + 4 * 5 is greater than 5 * 5) and (-6 * 2 > -7)) and (not (max(5, -6, 5, 10) - min(5, -6, 5, 10) is greater than 6) and (-2 * -1 + 6 * -7 > -8 * 5))) and not not (not ((True) and (True)) and (not not (-3 - (3 / 7) > 10) or not not not (The capital of India is Mumbai.))))\n(E) ((not not not (not ((not not not (not (not (not (not not (not not not (not not (not not not (not not not (The capital of the Nigeria is Abuja.) and not not (-5 * 3 is less than or equal to 7)) and not not (2 * 1 <= 1)) or not not not (5 * -3 + -1 * 8 <= -4 * -9)) and not not (The capital of Canada is Ottawa.)) or not not not (9 * -3 is less than or equal to -1)) or (True)) or (The capital of India is Mumbai.)) or (The capital of Nepal is Kathmandu.)) and not not (-2 * 6 + 10 * 6 > 10 * 10)) and (9 - (10 / -7) <= 3)) or (max(8, 6, 9, 10) - min(8, 6, 9, 10) > 6)) and not not (-4 * -2 <= -9)) and (False)) or (False)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:191", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not not not (not not not (not (4 - (6 / 5) is less than or equal to 6) and (False)) and not not (not not not (True) and not not (True))) and not not (not not not (not (10 - (-1 / -7) is greater than -9) and (10 * -1 + -2 * 9 <= -8 * -6)) and not not (not not not (max(9, 4, -8, 10) - min(9, 4, -8, 10) <= 8) and not not (The capital of Gambia is Libreville.)))) and (not not not (((The capital of Turkey is Istanbul.) and (7 * -7 + -1 * -8 > -1 * 10)) and (not not not (max(6, 10, 6, -7) - min(6, 10, 6, -7) is greater than 2) and not not (9 * 1 <= 4))) and not not (not not not (not not not (-9 - (-9 / -4) is less than or equal to 9) and not not (2 * -5 + 7 * 10 is greater than 2 * 7)) and not not (not (-8 * -8 + 5 * 1 is less than or equal to -5 * 4) and (False))))\n(B) not not ((not (True) or (The capital of Nepal is Pokhara.)) and (not not (3 * 1 > -9) or not not not (-6 - (7 / -2) <= -3))) or not not not (not (not not (The capital of Belarus is Minsk.) or not not not (False)) and (not (-4 - (-2 / -1) > 9) and (-6 * -7 + -2 * 6 <= -6 * -6)))\n(C) (not not not (not (not not not (not not (not ((not not (not (not (not not not (not (not (not not not ((The capital of Iraq is Beirut.) or (True)) and not not (-7 * -9 > -8)) or (max(-10, 3, 1, 3) - min(-10, 3, 1, 3) is greater than 5)) or (False)) and not not (4 - (-5 / 7) <= 1)) and (-1 - (9 / -8) is less than or equal to 2)) or (7 * 8 + 6 * 3 is greater than 1 * -10)) or not not not (The capital of Denmark is Copenhagen.)) and (True)) or (-9 * -10 + -4 * 7 is less than or equal to -3 * -5)) or not not not (-4 * -5 <= -4)) and not not (2 * 5 + 6 * 10 is greater than 3 * -7)) and (max(-7, 1, 2, -7) - min(-7, 1, 2, -7) is greater than 6)) and not not (True)) or (8 * -6 > -6)\n(D) ((not ((not not not (not not not (not not (not (not not (((not not (max(-7, 10, -8, 9) - min(-7, 10, -8, 9) is greater than 4) or not not not (The capital of Germany is Berlin.)) or (max(3, -2, -5, 2) - min(3, -2, -5, 2) <= 2)) and (False)) or not not not (True)) or (True)) or not not not (-9 - (-5 / -7) is less than or equal to -6)) and not not (max(2, -9, -10, 10) - min(2, -9, -10, 10) is greater than 1)) and not not (-10 - (2 / 3) > -3)) or (5 * 9 <= -1)) or (max(-10, 3, -6, 5) - min(-10, 3, -6, 5) <= 6)) and (The capital of India is Mumbai.)) and (The capital of UAE is Dubai.)\n(E) not not not (not not (not not not (-9 * -8 <= -9) and not not (True)) or not not not ((The capital of Canada is Toronto.) or (max(-6, -4, 6, -3) - min(-6, -4, 6, -3) is greater than 2))) and not not (not not not (not (6 - (-7 / 9) is greater than -8) and (-2 * -8 + -7 * -7 is less than or equal to 2 * 6)) and not not (not (10 * 5 + -6 * 6 is less than or equal to -4 * 9) or (max(3, -1, 5, -5) - min(3, -1, 5, -5) <= 7)))\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:194", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not (not ((not not not ((not not not (not (not not not (2 * 10 + -6 * 3 is less than or equal to -6 * 4) and not not (-10 * -7 > 5)) and (6 - (-7 / -4) > 9)) and not not (False)) or (8 * -3 > -3)) and not not (The capital of Azerbaijan is Baku.)) and (The capital of Afghanistan is Kabul.)) or (-4 * 1 > -4)) or (9 * 6 <= -4)\n(B) not not not ((not (not not not (not (not (not (4 - (4 / -5) is greater than -2) and (7 - (-2 / -7) is greater than -1)) or (10 * 7 + 9 * 8 is greater than -2 * 7)) or (The capital of Iraq is Baghdad.)) and not not (True)) and (False)) or (-3 * 9 is less than or equal to -8)) and not not (max(-4, -6, 5, -6) - min(-4, -6, 5, -6) is greater than 9)\n(C) not not not (not (not not not (The capital of Iran is Isfahan.) and not not (max(-8, -4, 10, -3) - min(-8, -4, 10, -3) <= 2)) and (not (3 * 6 > -6) or (-7 - (-8 / 6) <= -6))) and not not (not ((False) or (The capital of India is New Delhi.)) or (not (-8 * -4 + 7 * -10 <= 9 * -2) and (max(3, -4, -2, 5) - min(3, -4, -2, 5) > 9)))\n(D) (not (not (max(-7, 9, -9, 2) - min(-7, 9, -9, 2) is greater than 6) or (1 * 7 > -5)) and (not (The capital of Turkey is Istanbul.) or (The capital of Armenia is Gyumri.))) or (not not not ((False) or (True)) and not not (not (The capital of Afghanistan is Kabul.) and (max(-3, -1, -7, -8) - min(-3, -1, -7, -8) is greater than 1)))\n(E) not not not (not not not (not (not not not (not (not not not ((((not (not (not (not not (9 - (7 / 6) is greater than -8) or not not not (4 * -8 + -3 * 7 > -4 * 9)) and (-6 * 7 + 2 * -9 > 9 * 5)) and (The capital of the Nigeria is Abuja.)) and (The capital of India is Mumbai.)) or (3 - (-1 / -6) is less than or equal to 5)) and (3 - (5 / 4) is greater than -4)) and (-5 - (-7 / -4) is greater than -10)) and not not (10 * 1 + -2 * -3 <= -8 * -4)) and (max(-5, -2, 7, -4) - min(-5, -2, 7, -4) is greater than 8)) and not not (True)) or (False)) and not not (9 * -1 + -3 * 6 > -9 * -8)) and not not (False)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:195", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not not (not ((not (not not (not (not not (not not (not (not (not (not not not ((not (not (False) and (-4 * -5 + 4 * 5 is less than or equal to 7 * -5)) and (5 * 3 + -3 * 2 > 8 * 2)) or (5 - (10 / 8) > 7)) and not not (5 * 2 <= -4)) or (max(9, 6, -10, -9) - min(9, 6, -10, -9) is greater than 4)) or (2 * 5 > 8)) or (True)) or not not not (-9 * 4 + -1 * -9 <= 9 * -2)) or not not not (3 * 8 + 3 * -3 is less than or equal to -5 * 3)) and (max(-10, 8, 5, 7) - min(-10, 8, 5, 7) <= 9)) or not not not (max(2, -5, -4, -3) - min(2, -5, -4, -3) is greater than 3)) and (True)) and (max(6, -4, -6, -8) - min(6, -4, -6, -8) is greater than 1)) and (The capital of Cameroon is Yaounde.)) and not not (-5 * -7 > 8)\n(B) not (not (not not (-1 - (-3 / -8) > 1) or not not not (The capital of Azerbaijan is Baku.)) or (not not (-5 - (1 / -4) is less than or equal to 6) or not not not (5 * 6 + 5 * -7 is greater than 3 * -8))) and (not (not not not (-10 - (-4 / 8) is less than or equal to -1) and not not (True)) or (not not (3 * 5 + 2 * -4 > 7 * 6) or not not not (max(2, -9, 6, -10) - min(2, -9, 6, -10) is greater than 6)))\n(C) not not not ((not not (not (not not not (not ((not not not (True) and not not (-6 - (10 / 5) is less than or equal to 9)) and (max(-4, 3, 3, 4) - min(-4, 3, 3, 4) <= 1)) or (False)) and not not (4 * 3 + -10 * -5 is less than or equal to 9 * 5)) and (6 - (-1 / -7) is less than or equal to 8)) or not not not (max(8, -9, -8, 3) - min(8, -9, -8, 3) is greater than 2)) and (-1 - (-9 / -7) is less than or equal to 10)) and not not (max(-6, 9, 4, 4) - min(-6, 9, 4, 4) is greater than 9)\n(D) (not not not (not (8 * -4 > 3) or (-5 * 8 + 7 * 5 <= -8 * -2)) and not not (not (2 * 10 + 1 * -4 is greater than -5 * -1) and (max(-2, -7, -5, 10) - min(-2, -7, -5, 10) <= 10))) and (not (not not not (The capital of Jordan is Amman.) and not not (The capital of Afghanistan is Kabul.)) or (not (True) and (3 * 2 <= -2)))\n(E) not (not not (not not (not (not (not not not (not (not not (not ((not not (8 * -5 > 8) or not not not (6 * 10 + -4 * 10 is greater than -5 * 3)) or (-10 * -7 <= -1)) and (-7 * 1 + 6 * 2 <= -3 * -7)) or not not not (-9 - (8 / 1) is less than or equal to -5)) or (2 * -6 + 2 * -4 > -2 * -4)) and not not (True)) or (-10 * -9 <= -6)) or (False)) or not not not (2 * -1 <= -3)) or not not not (2 * -9 + 8 * -8 <= -7 * -5)) and (max(-2, -3, 8, -4) - min(-2, -3, 8, -4) <= 4)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:boolean_expressions:198", "request": "From the following five expressions, only one evaluates to true. Which one is it?\n\n(A) not not (not (not (False) or (True)) and (not (-9 * 9 + 5 * -10 > 5 * 4) and (False))) or not not not (not (not not (The capital of Iraq is Beirut.) or not not not (6 * 8 + 9 * 5 is greater than -2 * 1)) or (not (-3 * 1 is less than or equal to -2) or (-3 - (-9 / 6) is greater than -3)))\n(B) not not (not not not (not (5 * 2 > -8) and (-1 * -6 <= -7)) and not not (not not not (-6 * -4 + -9 * -9 is greater than -6 * -4) and not not (6 * 1 + 7 * -6 is less than or equal to 7 * -9))) or not not not (not not (not not (max(4, -9, 8, 4) - min(4, -9, 8, 4) is greater than 8) or not not not (max(4, -3, 9, 4) - min(4, -3, 9, 4) is greater than 5)) or not not not (not not not (False) and not not (The capital of Colombia is Medellin.)))\n(C) not not (not not (not (not not (not (not not ((not not not (7 - (-6 / 6) is greater than 4) and not not (True)) and (10 * 9 <= -4)) or not not not (False)) or (1 * 3 + -8 * 5 > -1 * -7)) or not not not (9 * -2 + -5 * -8 <= -10 * -6)) and (False)) or not not not (max(5, -6, -1, 5) - min(5, -6, -1, 5) is greater than 1)) or not not not (-5 * 1 + 10 * -9 > 9 * 9)\n(D) not (not (not not not (not not not (-6 - (-2 / 4) > 9) and not not (max(10, 10, -8, -3) - min(10, 10, -8, -3) is greater than 5)) and not not ((7 - (-1 / 5) is greater than -7) and (7 * -1 + 1 * 7 > 6 * 10))) or (not (not (False) and (2 * -9 is less than or equal to 1)) or ((2 - (-5 / -7) is less than or equal to 6) or (The capital of Denmark is Copenhagen.)))) and ((not not not (not not not (False) and not not (-10 * -1 > 10)) and not not (not (True) and (max(7, 1, 6, 8) - min(7, 1, 6, 8) <= 8))) and (not ((True) or (-8 - (8 / 5) is less than or equal to -7)) and ((False) or (10 - (9 / -5) <= 9))))\n(E) (not (not (not not not (not not ((not (3 * -5 > -3) or (5 * -6 > -7)) or (-8 * 3 > 2)) or not not not (-7 * -3 + 1 * -10 is less than or equal to -10 * 2)) and not not (The capital of Iraq is Baghdad.)) or (-4 * -2 + 1 * 5 > -9 * -9)) or (The capital of Jordan is Beirut.)) and (1 - (-9 / -10) > 9)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:001", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 1583 && 10674| 85 && 78| null && 86| 562 && 491| 22:54 && 21:31| 76 && 21| 2 && 10| 7 && 7| 965 && 403| Mon && Tue| 1047 && 1895| 6 && 10| 33 && 9| 2 && 1| 1754 && 1287| 28 && 30| 23 && null |\n| 2025-01-25 && 2025-01-24| 7123 && 7511| 26 && null| null && 21| 580 && 340| 22:53 && null| 40 && 81| 6 && 7| 9 && 7| 223 && 259| Wed && null| 1778 && 959| 9 && 15| null && 36| 4 && 8| 1416 && 2452| 11 && 51| 25 && 52 |\n| 2025-01-23 && 2025-01-22| 14179 && 10384| 95 && 21| 99 && 23| 404 && 383| 21:56 && 23:24| 18 && 72| 3 && 2| 4 && 4| 783 && 384| Fri && Sat| 882 && 414| 15 && 3| 37 && 22| 6 && null| 2379 && 754| 18 && 19| 57 && 17 |\n| 2025-01-21 && 2025-01-20| 11894 && 16041| 59 && 54| 50 && 10| 541 && 589| 21:55 && 21:20| 82 && 51| 10 && 7| 8 && 8| 868 && 274| Sun && null| 413 && 1083| 9 && 5| 38 && null| 4 && 3| null && 1421| null && 35| 14 && 48 |\n| 2025-01-19 && 2025-01-18| null && null| 28 && 84| 33 && 97| 411 && 566| 21:50 && 21:14| 31 && 56| 6 && 2| 8 && 4| 855 && 841| Tue && Wed| 1891 && 592| 7 && 9| 13 && 14| 9 && 5| 2975 && 1028| 60 && 20| 51 && 19 |\n| 2025-01-17 && 2025-01-16| 16366 && 9404| 36 && null| 44 && 68| 342 && 411| 21:55 && 23:19| 93 && 88| 5 && 8| 6 && 5| 755 && 585| Thu && Fri| 689 && 1519| 10 && 12| 24 && 29| 9 && 6| 1012 && 935| 31 && 39| 33 && 11 |\n| 2025-01-15 && 2025-01-14| 17714 && 17541| 38 && 90| 15 && 74| 548 && null| 23:41 && 22:46| 38 && 16| 5 && 6| 10 && 5| null && 283| Sat && null| 889 && 740| 5 && 4| 19 && 61| 9 && 4| 2076 && null| 34 && 30| 36 && 28 |\n| 2025-01-13 && 2025-01-12| 2076 && 19225| 40 && 44| 89 && 93| 327 && 424| 23:55 && 22:18| 26 && 86| null && 9| 3 && 5| 886 && 918| Mon && Tue| 819 && 729| 11 && 6| 25 && 50| 4 && 10| 1093 && 1009| 36 && 33| 27 && 53 |\n| 2025-01-11 && 2025-01-10| 3699 && 11162| 33 && 56| 51 && null| 409 && 582| 22:11 && null| 11 && 88| 9 && 2| 6 && 5| 664 && 678| Wed && Thu| 1997 && null| 13 && null| 56 && null| 5 && 8| 556 && 1059| 57 && 15| 24 && 36 |\n| 2025-01-09 && 2025-01-08| null && 10795| 76 && 10| 95 && 64| 385 && 455| 21:46 && 22:28| 63 && 54| null && 10| 7 && 1| null && 138| Fri && Sat| 447 && null| 12 && 6| 65 && 4| 9 && 9| 857 && 2882| 57 && null| 36 && 17 |\n| 2025-01-07 && 2025-01-06| 11558 && null| 82 && 72| 57 && 41| 524 && 515| 23:25 && null| 22 && 52| 10 && 6| null && 4| 573 && 484| Sun && null| 851 && 1068| 10 && 6| 22 && null| 10 && 10| 613 && 1727| null && 13| null && 48 |\n| 2025-01-05 && 2025-01-04| 11847 && 17416| 60 && 50| 12 && 20| 366 && 392| null && 22:32| 59 && 63| 4 && 4| 4 && 5| 102 && 993| Tue && Wed| 559 && 1155| 3 && null| 65 && 65| null && 1| 845 && 1849| 45 && 39| null && null |\n| 2025-01-03 && null| 10358 && null| 35 && null| null && null| 397 && null| 23:29 && null| 75 && null| 4 && null| 1 && null| null && null| Thu && null| null && null| 9 && null| 10 && null| 10 && null| 913 && null| 16 && null| 20 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the stdev of column sleep_minutes and column coding_minutes, only looking at the days where the number of emails was greater than 2 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:003", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-28| null | 91 | 42 | 391 | 22:54| 57 | 6 | 10 | 817 | Sun | 490 | 15 | 44 | 8 | 2949 | 40 | 26 |\n| 2025-01-27| 7304 | 36 | null | 456 | null | null | 4 | 10 | 809 | Mon | 1211 | 2 | 13 | 6 | 1791 | 59 | 47 |\n| 2025-01-26| 6614 | 58 | 79 | 549 | null | 71 | 5 | 10 | 192 | Tue | 1846 | null | null | 5 | 2971 | 42 | 43 |\n| 2025-01-25| 18826| 41 | 48 | 317 | 21:33| 49 | null | null | 307 | Wed | 820 | 7 | 33 | null | 1470 | 23 | 23 |\n| 2025-01-24| null | 95 | 35 | 443 | 21:32| 34 | 3 | 1 | 197 | Thu | 1455 | null | 16 | 6 | 1352 | 16 | null |\n| 2025-01-23| null | 59 | 16 | null | 21:52| 81 | 5 | 2 | 821 | Fri | 1667 | 1 | 50 | 3 | 2864 | 18 | 18 |\n| 2025-01-22| 9061 | null | 43 | 557 | null | 16 | 4 | 1 | 813 | Sat | 992 | null | 38 | 6 | 1242 | 11 | 22 |\n| 2025-01-21| 12591| 45 | null | 392 | 23:16| 82 | 10 | 9 | 822 | Sun | 1731 | 7 | 62 | 7 | 1839 | 46 | 49 |\n| 2025-01-20| 10506| 41 | 21 | 465 | 23:29| 88 | 10 | 7 | 287 | Mon | 1808 | null | 63 | 9 | 2601 | 53 | 32 |\n| 2025-01-19| 1766 | 74 | 13 | 399 | 22:41| 88 | 6 | 1 | 169 | Tue | 1680 | 7 | 22 | 3 | 2196 | 41 | 13 |\n| 2025-01-18| 7988 | 96 | 51 | 534 | 23:25| 74 | 2 | 8 | 392 | Wed | 848 | null | 51 | 3 | 1653 | 23 | 16 |\n| 2025-01-17| 18098| 62 | 45 | 379 | 22:36| 86 | 10 | null | 878 | null | 473 | 8 | null | 3 | 621 | 48 | 29 |\n| 2025-01-16| 6316 | 96 | 24 | 326 | 22:56| null | 9 | 2 | 945 | Tue | 1312 | 3 | 3 | 1 | 1184 | 36 | 37 |\n| 2025-01-15| 3024 | 25 | 72 | 301 | null | 45 | 10 | 5 | 701 | Wed | null | 3 | 48 | 3 | 1162 | 13 | 43 |\n| 2025-01-14| 14107| 35 | 34 | null | 22:52| 29 | 10 | 6 | 603 | Thu | 1902 | 13 | 49 | null | 711 | 29 | 46 |\n| 2025-01-13| 10963| 66 | 96 | 570 | 21:43| 98 | 7 | 10 | 570 | null | 715 | 14 | 17 | null | 2676 | 18 | 31 |\n| 2025-01-12| 1397 | 95 | 40 | null | 22:24| 93 | 3 | 2 | 183 | Sat | null | 8 | 7 | 1 | null | 23 | 33 |\n| 2025-01-11| 2325 | null | 67 | 565 | 22:12| 33 | 7 | 3 | 753 | Sun | 992 | 4 | 47 | 8 | 827 | 16 | 16 |\n| 2025-01-10| 15330| null | 23 | 333 | 21:20| 31 | 4 | 6 | 268 | Mon | 1829 | 12 | 24 | 1 | 2600 | 44 | 10 |\n| 2025-01-09| 126 | 50 | 12 | 510 | 23:30| 94 | 5 | 5 | 210 | Tue | 1195 | 6 | 39 | 3 | 1098 | 36 | 52 |\n| 2025-01-08| 10567| 93 | 25 | 530 | 22:43| 34 | 9 | 3 | 490 | Wed | 1551 | 3 | 27 | 9 | 796 | 31 | 24 |\n| 2025-01-07| 15391| null | 61 | 340 | 23:37| 95 | 9 | 1 | 269 | Thu | null | 14 | 9 | 3 | 1742 | null | 26 |\n| 2025-01-06| null | 27 | 62 | 500 | 21:22| 85 | 7 | 6 | 614 | Fri | 1831 | 8 | null | 3 | 2928 | 37 | 31 |\n| 2025-01-05| 8744 | 12 | null | 517 | null | 13 | 5 | 6 | 221 | Sat | 1257 | 8 | 7 | 6 | 713 | 11 | 28 |\n| 2025-01-04| 6445 | 79 | 70 | 361 | 23:51| 34 | 4 | 10 | 963 | Sun | 1222 | 3 | 62 | 6 | null | 47 | 37 |\n| 2025-01-03| 11726| 10 | 44 | 349 | 21:58| 72 | 8 | 6 | null | Mon | 1019 | 13 | 41 | 1 | 2997 | 22 | 27 |\n| 2025-01-02| 3994 | null | 60 | 500 | 23:12| 75 | 6 | null | 845 | Tue | 1652 | 6 | 30 | 3 | 600 | 33 | null |\n| 2025-01-01| 1367 | 88 | 78 | 457 | 22:10| null | 8 | 8 | 569 | Wed | 825 | 8 | null | 3 | 2839 | 57 | null |\n| 2024-12-31| 17648| 60 | 84 | 392 | null | 33 | 2 | 8 | 800 | Thu | 466 | null | 1 | 1 | 2486 | 15 | 48 |\n| 2024-12-30| 15681| 61 | 44 | 445 | 21:53| null | 8 | 7 | 219 | Fri | 1308 | 8 | 34 | 5 | null | 36 | 49 |\n| 2024-12-29| 19549| 11 | 91 | 355 | 23:29| 44 | 10 | 9 | 419 | Sat | 954 | null | 22 | 10 | 2752 | 24 | 53 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the sum of column exercise_minutes and column phone_screen_time_minutes, only looking at the days where the weekday is Monday and the number of meetings was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:004", "request": "I have a table with 33 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 121, 96, null, 521, 22:10, 18, 5, 2, 839, null, 314, null, 23, 3, 1075, 44, null, -7, 2025-01-26, 7013, 56, 70, null, 23:28, 63, 10, 5, 780, Tue, 471, 10, 56, 5, 625, 25, 22, -10, -1, 2025-01-25, 5986, 12, 68, 592, 22:34, 80, 6, 5, 778, null, 944, 15, 49, 10, 561, 58, 35, -5, 1, -1, 2025-01-24, 5447, 70, 77, 393, 21:50, 17, 5, 8, 992, Thu, 1180, 7, 57, 8, 2939, 11, 23, 5, 0, 5, -9, 2025-01-23, 9005, 84, 67, 588, 22:39, 82, 5, 3, 487, Fri, 1813, 12, 65, 3, 608, 45, 42, -10, 7, 2, -2, 8, 2025-01-22, 10948, 24, 45, null, 21:29, 94, 6, 4, 203, Sat, null, 7, 52, 10, 795, 23, 11, 8, 0, -2, -10, -5, -5, 2025-01-21, 977, 56, 20, 525, null, 20, 7, 2, 684, Sun, 427, 4, 6, 4, 1714, 25, 32, 6, 7, -2, 4, 3, 4, 4, 2025-01-20, 17549, 72, 48, 558, 21:47, 89, 5, 7, 837, null, 1165, 8, 16, null, 2712, null, null, 6, 4, 4, -4, 1, 4, -1, 0, 2025-01-19, 11427, 79, 30, 421, 22:32, 65, 2, 5, 622, Tue, 905, 15, 56, 2, 1014, 39, 53, 5, -7, 8, -8, -1, -4, -2, 4, -10, 2025-01-18, 8451, 24, 82, 554, 23:11, 40, 8, 6, 431, Wed, 1924, 9, 58, 4, 1716, 53, null, 8, 4, 7, -10, 1, 3, 2, -9, 4, 5, 2025-01-17, 19056, 28, 82, 519, 22:50, null, 7, 5, null, Thu, 1746, 1, 50, 4, 707, 28, 23, 6, -4, 6, 9, 10, -4, -10, 4, 6, -2, 6, 2025-01-16, 15566, 20, 31, 427, 21:22, 95, 2, null, 910, Fri, 1646, 3, 39, 1, 2204, 47, 43, -1, 6, -7, -7, -6, 8, 7, 10, -8, 4, 8, 4, 2025-01-15, 12773, 13, 89, 374, 22:23, 34, 5, 8, null, Sat, null, 14, 1, 10, 2068, 26, 13, 5, -4, -9, 6, -5, -9, -9, 2, 1, -8, 9, -4, -5, 2025-01-14, 13287, 95, 52, 377, null, 91, 3, 3, 381, Sun, 1550, 11, 34, null, 1420, 23, 59, -4, -8, 3, -4, -9, -2, 7, 9, 7, -3, 3, 6, 4, 8, 2025-01-13, 14584, 74, 19, 549, 23:48, 79, 2, null, 457, null, 1810, 3, 15, 10, 864, 51, 12, -2, -8, 9, -7, 7, -2, -6, -1, -9, -9, -4, -7, -5, 7, 10, 2025-01-12, 2470, 97, 26, 469, 23:38, 24, 5, 4, null, Tue, 716, 4, 51, 3, 2928, 59, 42, -5, -7, -8, -9, -3, 9, 1, 7, 1, -9, -1, -5, 2, 7, -4, 3, 2025-01-11, 5969, 41, null, 355, 22:16, 29, 9, 6, 100, Wed, 1977, null, 13, 3, 1852, 17, 35, 8, 5, -6, -8, 6, 4, 8, -8, -4, -5, -7, 0, 8, -3, -1, -4, -10, 2025-01-10, 19642, 47, 69, 342, 22:33, 33, null, 10, 924, Thu, 1059, 15, 14, 9, 1164, 41, 59, 1, 7, -7, -9, -6, 3, -6, -5, 9, 7, -4, -3, 9, -10, 10, 0, 5, -6, 2025-01-09, 5460, 36, 72, 383, 23:49, 21, null, 6, 450, Fri, 394, null, 27, 6, null, 59, 52, -5, -1, -5, 2, -8, 6, 7, -4, -3, 1, -6, -6, 10, 2, -4, -2, -1, -2, -9, 2025-01-08, 4150, 74, 50, 480, 23:39, 64, 7, 8, 854, Sat, 1982, null, 13, 8, 2677, 28, 13, 10, -1, 0, 5, -2, -1, 9, -2, -8, -8, 7, 4, 7, 2, -10, 7, -6, 4, 7, -4, 2025-01-07, 8359, 19, 34, 432, 23:35, 64, null, 5, 691, Sun, 658, 3, 35, 5, null, 53, 27, -1, -8, -7, -10, 1, 5, -3, -7, -3, 4, 8, 10, -9, 0, 2, 4, -2, 3, 0, -9, -4, 2025-01-06, null, 92, null, 591, 22:33, 38, 4, 5, 275, null, null, 1, 56, 2, 2794, 51, 59, -8, -6, 10, 3, 1, 9, -7, 3, 10, 6, -7, -9, -4, -7, 3, -1, 5, -7, -5, -3, 6, -2, 2025-01-05, 6478, 82, 51, 439, 21:35, 18, 1, 5, 213, Tue, 1085, 7, null, null, 1431, 43, 53, 6, -4, -6, -1, 8, 1, 1, -2, -8, -8, -7, -1, 8, 4, -4, -10, 7, -6, -1, 9, 9, -8, -4, 2025-01-04, 9003, 83, 20, 371, 23:45, 63, null, 2, 194, Wed, 1966, 12, 20, 7, 1802, 55, 22, 8, -10, 0, 2, 4, -10, 10, -9, -1, -9, 9, -8, 8, -4, -5, -8, 2, -1, 1, -6, 9, -7, 1, -3, 2025-01-03, 8140, 22, 18, 394, 22:48, 36, 1, 7, 524, Thu, 373, 14, 28, null, 1620, 55, 20, 0, -9, 1, 5, -3, 8, -1, 0, -3, 7, -5, -4, 9, -6, 0, 9, -7, 9, -5, -3, 3, -2, 4, -7, -1, 2025-01-02, 4524, 99, 41, 527, 21:35, null, 5, 10, null, Fri, 812, 4, 15, null, 2355, 59, 53, 3, -1, 0, -2, -2, 4, -5, -9, 6, 4, -2, -9, 5, 0, 1, -8, -5, -9, -5, -10, -5, -3, 8, 5, 8, 3, 2025-01-01, 11578, 96, 45, 586, 23:10, 86, 3, 4, 525, null, 1725, 11, 41, 8, 1434, 22, 39, 3, 5, -7, -5, 6, 2, -4, 5, 3, -4, -4, -1, -7, -10, 8, -8, 4, -9, 5, -10, 3, -5, -2, 0, 6, -1, 0, 2024-12-31, 17019, 40, null, null, 22:39, 77, null, 2, 382, Sun, 334, 6, 43, 3, 1587, null, null, -5, -1, -4, 0, -1, -4, -8, -10, 5, -7, -6, 8, -9, 9, 5, 7, 5, 9, 10, -9, 6, 0, 0, -10, -7, 9, -2, -3, 2024-12-30, null, 89, null, 408, 23:50, 18, 6, 6, 790, Mon, 1988, 7, 22, 8, 834, 46, 53, 0, -9, -3, 0, -2, -3, 8, -9, -5, 4, -4, 7, -6, 5, -3, 1, -10, 6, -1, -2, 2, 9, -9, -8, -4, -1, 10, 7, 0, 2024-12-29, 5923, 35, 79, 340, 23:19, 70, null, 1, null, Tue, 1900, 3, 32, 1, null, 50, null, 5, 3, 0, 8, -7, 4, -4, 4, -10, 10, -7, -4, 5, -3, 0, 6, 9, -9, 9, 8, -4, 9, -6, 3, -3, 0, 7, -5, 6, 7, 2024-12-28, 11939, 98, 85, 368, 23:55, 54, null, null, 858, Wed, 1329, 3, 24, 10, 1391, 53, 30, -2, 4, -4, 6, 1, 5, -3, 5, 4, 6, 0, -7, -2, -8, 3, -1, -3, 7, -10, -8, 3, 9, 1, -1, 5, 2, 9, 9, -7, 4, 1, 2024-12-27, 7324, 84, 100, 408, 23:57, 18, 4, 10, 695, Thu, 1474, 8, 29, 8, 2931, 19, 18, -10, -9, -3, -6, 10, 3, 6, -4, 3, 1, -10, 1, 9, 4, 6, 2, -9, -8, 4, 8, 8, -4, -1, -6, 4, 5, -7, 1, 9, 9, -1, -10].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the mean of column study_minutes and column exercise_minutes, only looking at the days where the number of calories consumed was less than 1800 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:005", "request": "I have a table with 31 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 6915, 367, 21:39, 49, 2, 7, 754, Mon, 1344, 11, 46, 9, 2032, 39, 40, 2025-01-26, 315, 87, 12, 463, 22:28, 72, 9, 1, Tue, 513, 3, 6, 705, 14, 45, 2025-01-25, 11076, 32, 555, 21:48, 51, 10, 10, 341, 1438, 10, 3, 1150, 45, 2025-01-24, 5161, 27, 42, 382, 21:34, 88, 8, 678, Thu, 822, 1, 40, 8, 2050, 14, 22, 2025-01-23, 3075, 11, 88, 21:49, 94, 6, 4, 970, Fri, 1722, 9, 1, 7, 2989, 17, 15, 2025-01-22, 17314, 55, 79, 415, 21:23, 80, 3, 3, 215, Sat, 1703, 15, 41, 2, 1332, 17, 34, 2025-01-21, 4955, 72, 89, 574, 22:13, 9, Sun, 9, 45, 9, 2185, 37, 55, 2025-01-20, 17347, 93, 95, 576, 22:11, 40, 7, 1, 547, 1037, 9, 38, 10, 2497, 18, 56, 2025-01-19, 12833, 68, 20, 483, 23:39, 17, 6, 6, 652, Tue, 1233, 5, 40, 6, 2965, 46, 14, 2025-01-18, 13505, 39, 45, 569, 22:28, 27, 2, 7, 493, Wed, 15, 5, 3, 904, 28, 23, 2025-01-17, 359, 13, 34, 381, 21:46, 96, 5, 4, 624, Thu, 8, 3, 2986, 15, 46, 2025-01-16, 17057, 29, 79, 492, 22:33, 67, 6, 535, Fri, 1521, 6, 44, 4, 1102, 54, 19, 2025-01-15, 11154, 86, 48, 579, 22:41, 67, 8, 2, 285, 1746, 9, 10, 1665, 38, 26, 2025-01-14, 18076, 78, 578, 22:57, 2, Sun, 5, 42, 6, 1917, 19, 24, 2025-01-13, 78, 71, 501, 22:25, 91, 7, 9, 543, 827, 25, 8, 1410, 10, 29, 2025-01-12, 8143, 97, 10, 485, 22:50, 76, 7, 402, Tue, 983, 6, 53, 2, 808, 31, 21, 2025-01-11, 16272, 84, 20, 387, 21:14, 63, 8, 677, Wed, 1, 1, 7, 57, 23, 2025-01-10, 5349, 27, 50, 434, 22:34, 34, 10, 4, 617, Thu, 1681, 3, 53, 9, 1477, 51, 56, 2025-01-09, 8793, 77, 468, 21:52, 85, 6, 8, 208, Fri, 982, 8, 25, 3, 2125, 32, 22, 2025-01-08, 18290, 30, 54, 442, 22:27, 25, 9, 3, 688, Sat, 1328, 2, 9, 5, 2959, 59, 58, 2025-01-07, 17816, 43, 349, 22:53, 36, 8, 7, 337, Sun, 859, 9, 9, 2559, 25, 26, 2025-01-06, 344, 29, 22, 317, 23:35, 26, 9, 8, 403, Mon, 1544, 3, 32, 2432, 18, 12, 2025-01-05, 3233, 94, 70, 414, 23:48, 5, 905, Tue, 552, 11, 30, 1037, 52, 11, 2025-01-04, 17032, 18, 47, 577, 22:46, 88, 5, 198, 7, 8, 1458, 12, 28, 2025-01-03, 3228, 80, 328, 23:22, 66, 3, 3, 120, Thu, 1052, 7, 3, 2994, 44, 22, 2025-01-02, 1473, 77, 60, 440, 23:29, 48, 6, 8, 683, Fri, 3, 12, 4, 2187, 42, 2025-01-01, 19068, 22, 75, 600, 21:48, 40, 6, 10, 661, Sat, 1668, 8, 12, 1, 709, 43, 41, 2024-12-31, 15029, 21:32, 94, 10, 2, 674, Sun, 939, 9, 49, 9, 21, 13, 2024-12-30, 6162, 50, 81, 326, 23:43, 20, 7, 8, 631, Mon, 627, 3, 12, 7, 1296, 14, 46, 2024-12-29, 6116, 99, 83, 395, 23:27, 74, 3, 10, 456, Tue, 677, 8, 36, 5, 53].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(12, 7), (14, 7), (5, 4), (22, 14), (3, 10), (3, 16), (28, 3), (3, 13), (17, 15), (28, 15), (30, 15), (1, 3), (24, 11), (11, 11), (24, 8), (13, 14), (26, 11), (25, 13), (16, 7), (21, 3), (26, 17), (21, 12), (14, 6), (23, 6), (14, 9), (28, 2), (17, 11), (19, 2), (17, 8), (1, 2), (10, 11), (11, 13), (15, 1), (24, 10), (13, 10), (2, 13), (15, 10), (7, 9), (7, 6), (3, 2), (14, 2), (23, 8), (23, 14), (14, 11), (28, 4), (4, 7), (15, 12), (25, 2), (30, 16), (8, 10), (2, 9), (24, 12), (7, 11), (7, 8)]. Compute the absolute difference between the sum of column exercise_minutes and column coding_minutes, only looking at the days where the number of calls was greater than 2 and the water intake was less than 2500 ml. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:006", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 15839, 86, 92, 546, 23:37, 27, 5, 6, 999, Mon, 1053, 14, 41, 3, 853, 52, 2025-01-26, 3485, 72, 497, 22:13, 54, 9, 5, 701, Tue, 1027, 7, 16, 5, 1917, 39, 11, 2025-01-25, 17614, 54, 19, 557, 21:17, 47, 9, 4, Wed, 1513, 3, 24, 2, 1075, 22, 58, 2025-01-24, 17091, 72, 14, 537, 22:42, 12, 10, 5, 801, Thu, 1963, 14, 7, 4, 1162, 59, 47, 2025-01-23, 87, 96, 591, 21:18, 98, 6, 5, 806, Fri, 1265, 9, 2, 1826, 59, 27, 2025-01-22, 7319, 53, 82, 397, 21:41, 22, 10, 353, Sat, 1939, 18, 2870, 12, 43, 2025-01-21, 16269, 37, 67, 537, 21, 1, 7, 936, Sun, 1458, 18, 3, 2219, 39, 50, 2025-01-20, 45, 35, 489, 23:36, 39, 1, 3, 1310, 8, 28, 3, 1959, 53, 36, 2025-01-19, 2452, 44, 62, 503, 22:33, 85, 8, 132, Tue, 808, 15, 53, 991, 25, 2025-01-18, 17737, 38, 45, 303, 23:47, 2, 10, 995, Wed, 341, 29, 2, 2914, 12, 30, 2025-01-17, 9688, 61, 56, 417, 23:35, 31, 5, 9, 463, 1785, 13, 1, 931, 18, 43, 2025-01-16, 10713, 77, 513, 51, 1, 4, 750, Fri, 389, 24, 2, 1155, 50, 56, 2025-01-15, 4174, 95, 595, 22:19, 59, 6, 6, 376, Sat, 10, 65, 9, 36, 2025-01-14, 15833, 84, 67, 309, 23:43, 9, 1, 808, Sun, 1307, 14, 6, 3, 1020, 45, 35, 2025-01-13, 7982, 44, 60, 545, 22:25, 63, 1, 6, 782, Mon, 1094, 11, 15, 6, 1389, 24, 21, 2025-01-12, 2041, 58, 22:49, 44, 5, 5, 242, Tue, 1925, 5, 48, 6, 796, 51, 20, 2025-01-11, 51, 35, 474, 21:35, 10, 2, 2, 165, Wed, 1158, 13, 63, 7, 37, 46, 2025-01-10, 64, 95, 520, 21:32, 6, 8, 476, Thu, 886, 5, 2, 637, 17, 40, 2025-01-09, 485, 41, 81, 588, 21:47, 11, 7, 9, 688, Fri, 747, 14, 10, 4, 1345, 50, 40, 2025-01-08, 2878, 83, 62, 421, 22:52, 14, 5, 3, 821, Sat, 711, 5, 8, 3, 1701, 27, 40, 2025-01-07, 17477, 56, 17, 507, 21:47, 99, 4, 395, 1773, 6, 46, 4, 2755, 19, 41, 2025-01-06, 2792, 32, 383, 21:28, 78, 9, 7, 968, 1542, 11, 60, 8, 2358, 51, 20, 2025-01-05, 14159, 46, 23, 555, 22:58, 100, 5, 7, 161, Tue, 760, 7, 3, 3, 506, 55, 2025-01-04, 7460, 98, 75, 465, 21:25, 53, 7, 321, Wed, 693, 1, 59, 9, 1740, 10, 2025-01-03, 11412, 31, 81, 504, 23:43, 5, 8, 627, Thu, 12, 3, 1059, 38, 48].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(6, 12), (22, 2), (21, 10), (5, 1), (8, 9), (10, 6), (9, 8), (17, 15), (9, 14), (10, 12), (16, 4), (13, 11), (25, 13), (18, 1), (24, 17), (6, 14), (18, 13), (12, 3), (14, 6), (12, 12), (22, 10), (3, 9), (5, 12), (9, 16), (11, 10), (24, 7), (25, 6), (11, 13), (16, 3), (13, 16), (6, 7), (13, 15), (18, 6), (7, 12), (12, 5), (17, 1), (23, 17), (8, 1), (8, 10), (2, 3), (13, 3), (1, 16), (25, 11), (7, 5), (21, 7)]. Compute the absolute difference between the sum of column sleep_minutes and column phone_screen_time_minutes, only looking at the days where the study minutes was greater than 20 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:008", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| null | 17 | 52 | ERROR| 22:18| 77 | 9 | 9 | 529 | ERROR| 1040 | 9 | 65 | 4 | 1613 | 28 | 21 |\n| 2025-01-26| ERROR| 10 | ERROR| null | 21:29| 100 | 9 | ERROR| 994 | Tue | 1937 | ERROR| 53 | 5 | 2831 | 58 | 26 |\n| 2025-01-25| 11438| 74 | 32 | 552 | 21:18| 45 | 7 | 7 | ERROR| Wed | ERROR| 6 | 57 | 2 | 1136 | 33 | 60 |\n| 2025-01-24| ERROR| 51 | 83 | 556 | 22:51| 24 | 8 | 9 | 784 | Thu | 486 | 11 | null | 10 | ERROR| 47 | null |\n| 2025-01-23| ERROR| 41 | 23 | 306 | 22:50| 66 | 6 | 2 | 327 | Fri | 1785 | 1 | 37 | 8 | null | 12 | 57 |\n| 2025-01-22| 11326| 16 | 40 | null | 21:22| 28 | 8 | 1 | 365 | Sat | 1191 | 2 | 64 | 4 | 2843 | 25 | 22 |\n| 2025-01-21| 807 | 24 | 93 | ERROR| 23:12| null | 7 | 5 | 659 | Sun | 1335 | null | null | 5 | 655 | ERROR| ERROR |\n| 2025-01-20| ERROR| 39 | 88 | 439 | 23:37| 79 | 1 | ERROR| 158 | null | 874 | 8 | 23 | 6 | ERROR| 17 | 10 |\n| 2025-01-19| 4883 | 71 | ERROR| null | 22:41| 14 | 1 | 6 | null | null | 473 | 10 | 30 | 6 | 1312 | 13 | 36 |\n| 2025-01-18| 13030| 71 | 23 | 324 | null | 61 | 10 | 7 | 488 | Wed | 1805 | null | null | 4 | 1507 | 20 | 19 |\n| 2025-01-17| ERROR| 84 | 67 | ERROR| 21:22| ERROR| 2 | 10 | 346 | Thu | 1004 | 6 | 55 | 1 | null | 28 | null |\n| 2025-01-16| 9523 | 20 | 56 | 543 | 21:47| null | 4 | 8 | 471 | Fri | 1925 | null | 10 | 10 | ERROR| ERROR| 47 |\n| 2025-01-15| 794 | 98 | 50 | 526 | 22:29| 45 | 1 | 6 | 816 | Sat | ERROR| 14 | 16 | 9 | 2900 | 29 | 38 |\n| 2025-01-14| ERROR| 55 | 97 | ERROR| 21:56| 63 | 7 | 6 | 655 | Sun | 682 | 7 | 12 | 10 | 1978 | 26 | null |\n| 2025-01-13| null | 90 | null | 495 | 23:59| 22 | 7 | 7 | 666 | null | 838 | ERROR| ERROR| 2 | 2215 | 21 | 11 |\n| 2025-01-12| 10397| 57 | 23 | null | 23:49| 38 | 4 | ERROR| 750 | Tue | 826 | ERROR| 27 | 1 | ERROR| 55 | 36 |\n| 2025-01-11| 7940 | 59 | ERROR| ERROR| 23:46| 76 | 10 | 5 | 581 | Wed | 1965 | 5 | 43 | 6 | 2935 | 52 | 34 |\n| 2025-01-10| 14090| 67 | 39 | 583 | 21:44| null | 10 | 5 | ERROR| Thu | 1437 | 2 | 59 | 9 | 2460 | 18 | 48 |\n| 2025-01-09| 6472 | 84 | 67 | 330 | 21:51| 36 | 8 | 5 | 842 | Fri | ERROR| null | null | 3 | ERROR| 41 | 11 |\n| 2025-01-08| 16434| 28 | 68 | ERROR| 21:20| 19 | 6 | 6 | 546 | Sat | ERROR| 4 | 26 | 6 | 1936 | 55 | 46 |\n| 2025-01-07| ERROR| 10 | 78 | 479 | 21:24| null | 7 | ERROR| 777 | Sun | ERROR| 10 | 32 | ERROR| ERROR| 25 | 26 |\n| 2025-01-06| 3947 | ERROR| 32 | 485 | 22:59| 58 | 9 | ERROR| 352 | Mon | 573 | 1 | 6 | 9 | null | 23 | 49 |\n| 2025-01-05| 6614 | ERROR| 51 | 577 | 22:29| 20 | 5 | 1 | 136 | Tue | 527 | null | 10 | 1 | 1536 | 26 | 56 |\n| 2025-01-04| 8621 | 79 | 44 | 335 | 23:45| 28 | 2 | 8 | ERROR| Wed | null | 12 | 42 | null | ERROR| 55 | 40 |\n| 2025-01-03| null | 46 | 80 | 451 | ERROR| 98 | 1 | 6 | 985 | null | 492 | 13 | null | 5 | 937 | 42 | 57 |\n| 2025-01-02| 13791| 51 | 78 | null | 21:14| 61 | 7 | ERROR| null | Fri | 1626 | 12 | 26 | 4 | 2014 | 49 | 20 |\n| 2025-01-01| 6866 | 43 | 29 | 310 | 21:18| 17 | 2 | 7 | 780 | null | 1068 | 1 | 36 | null | 980 | 19 | ERROR |\n| 2024-12-31| 3432 | 72 | 11 | 313 | 23:18| 35 | null | ERROR| ERROR| Sun | 1992 | 2 | 3 | 8 | 1368 | 28 | 47 |\n| 2024-12-30| 8747 | 23 | 38 | 561 | null | 11 | 2 | null | 134 | ERROR| 1500 | 4 | null | 8 | ERROR| 17 | ERROR |\n| 2024-12-29| ERROR| 52 | 48 | 366 | 22:18| 39 | ERROR| 2 | null | Tue | null | 14 | 10 | null | 1334 | 41 | null |\n| 2024-12-28| 14596| null | 71 | 561 | ERROR| 34 | ERROR| 7 | 622 | ERROR| 1920 | 9 | 59 | 1 | 859 | 24 | 18 |\n| 2024-12-27| 18266| 84 | 41 | 469 | 23:41| 59 | 1 | 1 | 156 | Thu | 1705 | 3 | 1 | 4 | 1993 | 49 | 16 |\n| 2024-12-26| 11911| ERROR| 10 | 301 | null | 58 | 1 | 10 | 546 | null | 1606 | 4 | 24 | 7 | 2114 | 36 | 48 |\n| 2024-12-25| 7166 | 85 | null | 347 | null | null | null | 1 | null | Sat | null | 1 | 40 | null | 999 | 31 | 30 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [14578, 15465, 14566, 15445, 12204, 11904, 5490, 9547, 65, null, 86, 96, 36, 46, 575, 470, 429, 520, 314, 475, 22:51, 21:42, 11, 8, 9, 7, 6, 1, 1, 2, 7, 9, 403, 138, 716, 660, null, null, Wed, 1068, null, 349, 1101, 1220, 11, 14, 3, 40, 6, 823, 2150, 2533, 2242, 1830, 707, 2902, 688, 15, 10, 44, 21, 10]. Compute the absolute difference between the median of column music_listening_minutes and column phone_screen_time_minutes, only looking at the days where the coding minutes was greater than 20 and the music listening minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:010", "request": "I have a table with 33 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, null, 32, 52, 430, 21:21, 28, 3, 4, 830, null, 1487, 10, 60, 10, null, 12, 60, -6, 2025-01-26, 3442, 16, 56, 484, null, 46, 4, 6, 677, Tue, 392, 11, 4, 7, 1467, 33, 49, 3, -5, 2025-01-25, 14180, 46, 48, 537, 23:11, 83, 2, 1, 704, Wed, 489, 4, 2, 6, 1105, 40, 29, 5, -4, -7, 2025-01-24, 18517, 30, 77, 391, 21:14, 69, 1, 2, 196, Thu, 1942, 2, 32, 10, 1330, null, 12, -9, -9, 4, -3, 2025-01-23, 1958, 30, 28, 375, 21:45, 22, 1, 8, 829, Fri, null, 7, 3, 6, null, 32, null, -6, 5, -7, 3, -5, 2025-01-22, 15440, 42, 87, 334, 23:51, 91, null, null, 243, Sat, null, null, 58, 8, 2722, 40, 47, 6, 8, -5, -8, 0, -8, 2025-01-21, 19881, 24, 83, 540, 23:59, 35, 8, 6, null, Sun, 1800, 1, 55, 2, null, 38, 10, 1, -2, 0, 2, 1, 1, 1, 2025-01-20, 4077, 31, 64, 333, 21:27, 62, 5, 3, 447, null, 1832, 4, 25, 5, 527, 55, 33, -6, -1, -9, 8, 4, -3, -5, -7, 2025-01-19, 17779, 40, 24, 402, 22:22, 43, 1, 5, null, Tue, 1686, 4, 42, 8, 2967, 38, 54, 6, 0, 4, -6, 2, -8, 8, 2, 4, 2025-01-18, 11727, 44, 75, 425, 23:42, 16, 1, 2, 363, Wed, 1061, 12, 34, 5, 2839, 54, 29, 10, 7, 0, 8, -7, -4, 4, -10, 9, -6, 2025-01-17, 6142, 55, 46, 479, 23:17, 66, 9, null, null, Thu, 901, 8, 24, 9, 2099, 44, 31, -10, 5, -5, -8, 2, 3, -5, 8, -6, -1, 6, 2025-01-16, 2850, 26, 84, 506, 21:35, null, 8, 8, 598, Fri, 1337, 4, 44, null, 1044, 12, 41, -8, -6, -1, 8, -9, 2, -8, -10, -3, -6, -2, 7, 2025-01-15, 12453, 25, 79, 541, 21:40, 16, null, 5, 850, Sat, 512, 6, 38, 5, 1705, 43, 43, -4, -7, 6, 4, -10, -4, 4, 0, 3, 0, -5, 6, -2, 2025-01-14, 3672, 84, 97, 438, 22:13, 98, null, 6, 541, Sun, 490, 8, 6, 2, 1742, 14, 58, -5, -8, -8, -1, 0, -3, -1, -2, -9, 6, -8, -9, 5, -9, 2025-01-13, 4348, 14, 69, 376, 22:47, 99, 10, 1, 1000, Mon, 463, 1, 64, 10, 1800, 18, 50, 5, -3, 2, 5, 2, -7, -7, 9, -5, 9, -3, 0, 7, -5, -3, 2025-01-12, 13780, 85, 92, 505, 23:14, 78, 8, 1, 818, Tue, 865, 15, 59, 6, 2570, 27, 24, 10, -2, -6, 5, -4, 5, -7, -3, 1, 10, 1, 10, -7, -5, 2, -9, 2025-01-11, 9009, 85, 75, 395, 22:29, 42, 3, 9, 724, Wed, 877, 12, 22, null, 2512, 10, 57, 10, 9, 8, -8, 3, -7, -10, -4, 8, 2, -3, 9, -8, 0, -7, -8, 4, 2025-01-10, 2454, null, 24, 446, 21:29, 63, 2, 10, 401, null, 1136, 10, 7, 9, 1421, 25, 42, 6, 3, -10, 2, -4, -5, 4, 5, -7, 2, 0, 9, 1, 0, -9, -10, 1, -7, 2025-01-09, null, 53, 65, 557, null, 10, null, 9, 523, Fri, 1118, 4, 63, 6, 1318, 57, 29, -2, 9, -8, -3, -10, 3, -8, 0, -8, -8, -10, 10, 6, 0, -4, -9, 5, 3, -7, 2025-01-08, 12620, 36, 49, null, 22:42, 57, null, 1, 458, Sat, 1628, 8, 55, 3, 1196, 49, 12, 6, 10, 5, 10, -9, -9, -9, 6, -3, 4, 7, 0, -3, -5, 8, -6, 5, -4, -9, -2, 2025-01-07, 10996, 28, 55, 359, null, 34, 3, 3, 231, Sun, 1008, null, 25, 10, 2722, 23, 32, 2, 7, -1, 4, 2, 3, -7, -5, 4, 6, -6, -3, -8, -6, 10, -6, -3, -7, -3, 4, 10, 2025-01-06, 14235, 27, 34, 420, 22:16, 60, 7, null, 824, null, 621, 11, 44, 10, 500, 42, null, -3, 5, 5, 4, 0, 6, 5, -2, 10, -5, 10, 1, -4, 5, 2, 1, 4, 1, -5, -8, -1, -2, 2025-01-05, 10793, 85, 27, 401, 22:43, 77, null, 5, null, Tue, 1268, 12, 32, 3, null, 54, 33, -5, 0, -7, -10, 3, -4, -6, -5, -5, 7, 8, 8, -4, -1, 8, 7, 1, -8, 2, 9, 2, 1, -10, 2025-01-04, 6214, 32, 47, 420, 23:50, 45, 1, 1, null, Wed, 1120, 6, 5, 6, 752, 15, 38, 7, 8, 10, 5, -5, -7, 2, 4, 8, -7, -2, 5, -2, -3, -7, -7, -5, -5, -4, 0, 3, -4, -7, -2, 2025-01-03, 14346, 100, null, 407, 21:40, 48, 4, 2, 630, null, 419, 8, 52, 6, null, 37, 11, -1, -6, -10, -10, -2, -4, -3, 6, -3, 10, -1, 3, 0, -5, 2, 9, 3, -1, 9, -7, -6, 0, -5, 0, -10, 2025-01-02, 8420, 27, 97, null, 22:46, 60, 1, 8, 484, Fri, 460, 4, null, 10, 2112, 13, 21, 0, 7, 6, -6, 8, 5, 9, 1, 6, -8, 2, -5, 1, 8, 0, 2, -7, -3, 6, -6, 6, 9, -4, 4, 8, 10, 2025-01-01, 3445, 54, 77, 511, 21:19, 71, 2, 5, 340, Sat, 802, 12, 33, 4, 2008, null, null, -6, -7, -7, 6, 10, -2, -6, -5, 0, -8, 4, 4, 4, -10, 6, 10, 1, 1, 5, 4, -3, 1, -4, 6, 7, -7, -2, 2024-12-31, 18806, 51, 16, 558, 21:27, 16, 8, 4, 683, Sun, 1691, 14, 33, 8, 2804, 35, 43, -8, 10, 4, 1, 7, 1, -2, 5, -4, 2, -10, 7, 9, 7, -8, 2, 6, 3, -10, 8, -6, -3, 9, 8, -6, 7, 2, -5, 2024-12-30, 173, 39, 28, null, 23:20, null, 3, 10, null, null, 1207, 2, 10, 3, 1363, null, 17, 5, 7, 5, 3, -8, 10, 8, 5, 10, 9, 3, 9, -6, -3, 5, -9, -3, 1, 3, -9, 10, 6, 0, -3, -5, 5, -7, -2, 10, 2024-12-29, 18478, 74, 79, null, 23:27, 34, 8, 9, 262, Tue, null, 6, 14, 2, 1754, 57, null, -5, -2, 3, 6, 1, 10, 4, 6, 6, -7, -9, -10, -3, 3, -7, 4, -6, -3, 8, -4, 8, 0, -10, -10, -5, -3, -9, -5, -9, -6, 2024-12-28, 12177, 22, 51, 456, 23:15, null, 5, 4, 565, Wed, null, 7, 32, 5, 2062, 23, 26, -1, 4, 3, 0, 1, -6, 8, 6, 5, -10, -4, -1, 3, -10, -2, 0, 4, 2, 7, 5, -9, 0, 7, 7, -10, 6, -4, 5, 6, 2, -2, 2024-12-27, 1492, null, 12, null, 22:55, 80, 5, 1, 847, Thu, 1907, 4, 48, 1, 2387, 54, 44, 9, -1, -2, 4, 7, -2, 2, 9, -7, -6, 0, -3, 10, 9, -2, 7, 5, 8, 9, -4, 4, 5, -5, 0, -10, -2, -9, 6, 9, -9, 2, -4].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the sum of column exercise_minutes and column phone_screen_time_minutes, only looking at the days where the number of calories burned was less than 800 and the sleep minutes was greater than 350. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:012", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 13077, 30, 86, 461, 22:41, 13, 8, 873, 1670, 10, 36, 10, 1192, 53, 12, 2025-01-26, 18120, 91, 57, 469, 22:34, 82, 1, 2, 631, Tue, 1381, 3, 45, 1, 1811, 36, 57, 2025-01-25, 6912, 57, 43, 22:44, 35, 9, 10, 980, Wed, 1449, 3, 0, 9, 47, 2025-01-24, 15731, 536, 22:54, 82, 8, 9, 496, Thu, 1466, 6, 47, 6, 1093, 57, 22, 2025-01-23, 20, 484, 21:29, 94, 3, 10, 474, Fri, 890, 13, 26, 2, 3000, 15, 2025-01-22, 3895, 35, 44, 301, 22:21, 93, 2, 724, Sat, 394, 12, 35, 5, 26, 53, 2025-01-21, 12494, 96, 25, 322, 22:46, 93, 5, 956, Sun, 1232, 12, 39, 2, 1876, 35, 24, 2025-01-20, 5463, 70, 88, 580, 21:53, 60, 4, 6, 917, 792, 6, 58, 10, 519, 49, 20, 2025-01-19, 10312, 12, 47, 356, 22:17, 82, 2, 300, 1567, 9, 41, 9, 1048, 37, 48, 2025-01-18, 2953, 66, 32, 529, 22:15, 66, 3, 7, 304, Wed, 4, 23, 9, 2995, 36, 49, 2025-01-17, 16045, 29, 24, 572, 21:52, 86, 8, 5, 377, Thu, 1562, 7, 29, 3, 2496, 59, 24, 2025-01-16, 7524, 43, 64, 416, 21:29, 86, 5, 8, 867, Fri, 1122, 25, 10, 846, 11, 36, 2025-01-15, 15841, 59, 22, 401, 22:23, 60, 6, 10, 238, Sat, 1313, 10, 45, 2, 13, 19, 2025-01-14, 4952, 91, 411, 21:16, 34, 5, 3, 547, Sun, 985, 5, 1952, 39, 49, 2025-01-13, 14508, 90, 65, 586, 22:55, 53, 8, 1, 926, 894, 10, 48, 10, 39, 27, 2025-01-12, 15609, 54, 59, 303, 22:25, 88, 9, 6, 821, Tue, 1032, 1, 31, 40, 2025-01-11, 16265, 31, 59, 529, 23:44, 31, 7, 5, 515, Wed, 1220, 7, 65, 5, 882, 21, 21, 2025-01-10, 12714, 54, 37, 361, 54, 6, 1, 867, Thu, 422, 6, 42, 2, 2421, 12, 32, 2025-01-09, 7559, 91, 12, 534, 23:30, 7, Fri, 778, 5, 61, 8, 2762, 17, 33, 2025-01-08, 3262, 31, 46, 529, 22:21, 54, 5, 2, 851, Sat, 9, 28, 8, 1891, 35, 19, 2025-01-07, 13023, 36, 94, 547, 21:38, 20, 1, 810, Sun, 851, 10, 13, 10, 2025-01-06, 15365, 76, 26, 578, 22:58, 80, 8, 9, 304, 514, 5, 31, 1, 863, 13, 51, 2025-01-05, 80, 27, 463, 21:10, 14, 5, 660, Tue, 489, 15, 35, 3, 2897, 44, 2025-01-04, 7380, 31, 96, 538, 23:41, 1, 2, Wed, 910, 46, 3, 1319, 11, 2025-01-03, 86, 23, 510, 22:48, 7, 647, Thu, 1934, 15, 63, 2, 667, 23, 43, 2025-01-02, 14122, 61, 552, 22:46, 36, 9, 7, 291, Fri, 1508, 12, 35, 4, 2202, 53, 49, 2025-01-01, 15861, 49, 41, 322, 21:39, 85, 9, 10, Sat, 1378, 5, 13, 6, 590, 60, 21, 2024-12-31, 1350, 89, 389, 22:22, 96, 8, 3, 837, Sun, 438, 10, 42, 8, 2175, 34, 56, 2024-12-30, 1022, 19, 61, 345, 22:51, 10, 3, 505, 1495, 11, 6, 1883, 15, 11, 2024-12-29, 9817, 62, 98, 7, 2, 231, Tue, 650, 13, 43, 5, 2414, 49, 17, 2024-12-28, 15229, 83, 43, 479, 22:15, 61, 2, 10, 678, Wed, 608, 20, 6, 1766, 30, 60, 2024-12-27, 6153, 85, 88, 523, 21:53, 7, 8, 700, Thu, 962, 5, 29, 10, 2705, 28, 35, 2024-12-26, 6839, 41, 61, 314, 21:39, 3, 4, 820, Fri, 1416, 2, 60, 9, 2704, 10, 38, 2024-12-25, 9505, 89, 51, 338, 34, 6, 477, Sat, 1788, 14, 5, 9, 2374, 53].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(20, 11), (23, 1), (6, 15), (3, 4), (23, 7), (4, 3), (21, 13), (23, 16), (28, 3), (3, 16), (5, 1), (19, 6), (14, 13), (30, 3), (5, 16), (19, 9), (32, 6), (9, 8), (25, 1), (16, 14), (25, 7), (26, 2), (7, 7), (24, 17), (16, 13), (6, 8), (29, 10), (4, 2), (21, 12), (21, 15), (12, 12), (14, 3), (22, 10), (14, 12), (5, 3), (27, 9), (3, 15), (30, 5), (9, 10), (19, 8), (10, 11), (25, 6), (1, 8), (21, 7), (29, 6), (15, 10), (13, 15), (16, 15), (29, 12), (31, 12), (34, 5), (34, 8), (34, 17), (30, 4), (8, 10), (24, 6), (33, 6), (24, 9), (24, 12), (1, 10), (18, 5), (15, 15)]. Compute the absolute difference between the sum of column coding_minutes and column exercise_minutes, only looking at the days where the number of tasks completed was greater than 3 and the phone screen time minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:013", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 11000| 48 | 80 | 404 | 21:40| 86 | 5 | 9 | 508 | null | ERROR| 5 | 28 | ERROR| 2149 | 33 | 39 |\n| 2025-01-26| null | ERROR| 86 | 425 | 23:25| 31 | 3 | 4 | 396 | ERROR| ERROR| 14 | 7 | null | ERROR| 25 | 20 |\n| 2025-01-25| 12410| 76 | 16 | 529 | null | null | null | null | ERROR| Wed | 544 | 15 | null | 10 | 2067 | 48 | 20 |\n| 2025-01-24| 11669| 99 | 73 | ERROR| 22:47| 11 | 5 | 2 | ERROR| ERROR| 1634 | 3 | 27 | 10 | 1637 | 19 | null |\n| 2025-01-23| 12855| 75 | null | 404 | 23:29| ERROR| 6 | 4 | 388 | ERROR| null | 14 | 43 | 4 | 2990 | null | 54 |\n| 2025-01-22| ERROR| 23 | 54 | 351 | 23:56| 30 | 4 | 2 | 902 | Sat | 1903 | 1 | 52 | 1 | 2245 | 20 | 26 |\n| 2025-01-21| 12854| 80 | ERROR| 324 | 22:53| 26 | 2 | 2 | 343 | Sun | ERROR| 3 | 41 | 2 | null | 24 | ERROR |\n| 2025-01-20| null | 30 | 82 | 333 | 23:19| 57 | 4 | 9 | null | Mon | 807 | ERROR| 30 | 6 | ERROR| 22 | 40 |\n| 2025-01-19| 19774| 59 | null | 391 | 23:49| 47 | null | 10 | null | Tue | 1531 | 9 | 5 | 10 | 1586 | 13 | 52 |\n| 2025-01-18| 13816| 85 | ERROR| 397 | 22:55| 32 | null | 1 | 667 | Wed | null | 7 | 35 | null | 2781 | 24 | 58 |\n| 2025-01-17| ERROR| 17 | 31 | 309 | 23:47| 32 | 9 | 7 | 878 | Thu | ERROR| 7 | 65 | 9 | 2271 | null | null |\n| 2025-01-16| 7927 | 15 | 79 | 424 | 23:52| 37 | ERROR| 2 | 363 | Fri | 1474 | ERROR| 40 | 10 | 562 | 13 | 29 |\n| 2025-01-15| ERROR| 21 | 49 | 471 | 21:41| ERROR| 8 | ERROR| 737 | null | 1286 | 2 | 49 | 10 | 939 | ERROR| 37 |\n| 2025-01-14| 4046 | 45 | 18 | 372 | 21:40| 48 | 2 | ERROR| 630 | Sun | null | 4 | 6 | ERROR| ERROR| null | 12 |\n| 2025-01-13| 15150| 44 | 90 | null | 22:57| 92 | 10 | 9 | 525 | null | 1143 | 7 | 64 | 2 | 1331 | null | 31 |\n| 2025-01-12| ERROR| 75 | 27 | 569 | 22:42| null | 6 | 10 | 758 | Tue | 924 | 7 | 20 | 6 | 2558 | null | 23 |\n| 2025-01-11| 1772 | 62 | 28 | ERROR| 21:42| 82 | 5 | 8 | 336 | Wed | 1530 | 4 | 46 | 9 | ERROR| 30 | 31 |\n| 2025-01-10| 1413 | null | 94 | 347 | 23:10| null | 2 | ERROR| 769 | ERROR| 493 | 1 | 49 | 9 | 2008 | 30 | 49 |\n| 2025-01-09| 2601 | 56 | null | 448 | 22:22| 44 | 1 | 3 | ERROR| Fri | 1184 | 7 | 14 | 7 | 1009 | 21 | 43 |\n| 2025-01-08| ERROR| 55 | 33 | 575 | 22:51| 19 | ERROR| 2 | null | Sat | ERROR| 12 | 64 | 5 | 2262 | 13 | 17 |\n| 2025-01-07| 1736 | 85 | 72 | 508 | 23:52| 17 | 7 | 8 | 376 | Sun | 1820 | null | 45 | null | 1721 | 52 | 16 |\n| 2025-01-06| 10746| 38 | 15 | 350 | 22:42| ERROR| 1 | 3 | 223 | null | 1476 | ERROR| 57 | 7 | 708 | 38 | ERROR |\n| 2025-01-05| 18197| 58 | 50 | 452 | 22:44| 27 | 9 | ERROR| 700 | Tue | 985 | 1 | 22 | ERROR| 2899 | null | 26 |\n| 2025-01-04| 18143| 99 | ERROR| 555 | 23:28| 51 | 5 | 1 | 744 | Wed | 946 | 11 | 20 | 10 | 1405 | ERROR| 51 |\n| 2025-01-03| 10224| 81 | 38 | null | 22:13| 32 | 5 | 2 | 553 | null | 902 | 7 | 11 | 3 | 2233 | null | 55 |\n| 2025-01-02| 10094| 79 | 78 | 571 | 21:29| 66 | 2 | 4 | 717 | Fri | 1913 | 11 | 4 | ERROR| 843 | 35 | 14 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [19303, 2562, 19619, 9776, 3133, 94, 30, 93, 26, 525, 465, 97, null, 42, null, 8, 6, 1, null, 8, 803, null, null, Tue, Thu, Fri, Thu, 663, 1034, 1494, 949, 1398, 2, 4, 3, 7, 1, 1, 9, 1361, 1069, 1062, 1100, 31, 24, 60, 52]. Compute the absolute difference between the sum of column sleep_minutes and column study_minutes, only looking at the days where the number of steps was less than 17000 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:014", "request": "I have a table with 30 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 3418 | 87 | 83 | 429 | 21:24| 31 | 1 | 6 | 523 | Mon | 810 | 9 | 19 | ERROR| 2510 | 41 | 50 |\n| 2025-01-26| 13037| 68 | 21 | null | 21:50| ERROR| 5 | 4 | null | Tue | ERROR| 5 | 44 | 7 | 618 | 24 | ERROR |\n| 2025-01-25| 3956 | 20 | 36 | null | null | 54 | 4 | 6 | null | Wed | 695 | 9 | 51 | 3 | 2571 | 11 | ERROR |\n| 2025-01-24| 9822 | 11 | 47 | 377 | 22:39| ERROR| 4 | 8 | 724 | Thu | 1643 | 10 | 40 | 6 | 2321 | 40 | 18 |\n| 2025-01-23| ERROR| 84 | 85 | 478 | 23:26| 49 | 6 | null | 427 | ERROR| ERROR| 5 | 13 | 4 | 955 | 34 | 53 |\n| 2025-01-22| 1940 | ERROR| 11 | null | 22:41| 79 | 7 | 4 | 169 | Sat | 1589 | 15 | 10 | 2 | ERROR| 28 | ERROR |\n| 2025-01-21| 14960| 21 | null | null | 23:38| 84 | 1 | 4 | 767 | Sun | 1183 | 7 | 43 | 7 | 2656 | 50 | 33 |\n| 2025-01-20| 422 | 49 | 25 | 328 | null | 42 | 8 | 6 | 420 | null | 1121 | 4 | 58 | 4 | 1116 | 57 | 47 |\n| 2025-01-19| 7722 | 53 | ERROR| ERROR| 22:21| 82 | ERROR| null | 544 | ERROR| 1392 | 1 | 39 | null | 1725 | 50 | null |\n| 2025-01-18| 16525| 67 | 68 | null | 23:50| 62 | 4 | 1 | 827 | Wed | 1078 | 4 | 54 | 4 | null | 10 | 26 |\n| 2025-01-17| 19860| 84 | 69 | 477 | 23:36| 39 | ERROR| 7 | 779 | null | 630 | 12 | 52 | ERROR| 2158 | 58 | 43 |\n| 2025-01-16| 19014| 83 | 46 | 355 | null | 15 | 6 | 3 | 332 | Fri | 1731 | 1 | 58 | 9 | 1937 | 35 | 33 |\n| 2025-01-15| 1515 | null | 95 | 387 | 22:36| 46 | null | 10 | 745 | Sat | 1422 | 4 | ERROR| 3 | 1460 | 34 | 13 |\n| 2025-01-14| null | 27 | ERROR| null | 23:25| 67 | 6 | 5 | 704 | Sun | 799 | null | 25 | 6 | 2921 | 44 | 36 |\n| 2025-01-13| 18002| 72 | 14 | 337 | 22:47| ERROR| 3 | 8 | 882 | null | 1888 | null | 3 | 9 | 2095 | 35 | 49 |\n| 2025-01-12| 1318 | 85 | 39 | ERROR| 23:21| 52 | 1 | 5 | 628 | Tue | ERROR| 12 | 53 | 7 | 1442 | 47 | 54 |\n| 2025-01-11| 8968 | ERROR| 65 | 317 | 21:28| 18 | 1 | 2 | ERROR| null | ERROR| 15 | 3 | 9 | 666 | 48 | 57 |\n| ERROR| 11650| 91 | 53 | 446 | 21:20| ERROR| 7 | 3 | 548 | Thu | 628 | 2 | 56 | 4 | 2218 | 11 | 29 |\n| 2025-01-09| ERROR| 40 | ERROR| 497 | 21:59| 52 | 6 | null | 362 | Fri | ERROR| 3 | 14 | 5 | 1273 | 48 | 47 |\n| 2025-01-08| 15720| ERROR| 69 | 587 | 23:25| null | 2 | 5 | 236 | Sat | 517 | 11 | 49 | 3 | ERROR| 12 | ERROR |\n| 2025-01-07| 11275| 99 | 48 | 315 | 22:49| null | 9 | 2 | ERROR| Sun | ERROR| null | ERROR| 2 | 1784 | 41 | 12 |\n| 2025-01-06| ERROR| 72 | 85 | 495 | 23:17| 34 | 5 | 3 | 766 | null | 1358 | 7 | 48 | null | 1405 | 47 | 29 |\n| 2025-01-05| 11207| 77 | 93 | 469 | 23:49| ERROR| 10 | 4 | 464 | Tue | 1231 | 11 | 10 | null | 2055 | 34 | 36 |\n| 2025-01-04| 19388| 59 | 22 | 315 | 21:38| 53 | ERROR| null | ERROR| null | 790 | 1 | null | ERROR| 2541 | 34 | 57 |\n| 2025-01-03| 16953| 62 | null | 496 | ERROR| 29 | 7 | 7 | 698 | Thu | 712 | null | ERROR| 6 | ERROR| 53 | 40 |\n| ERROR| 17445| 50 | 15 | 593 | ERROR| 57 | 1 | null | null | Fri | ERROR| 5 | 63 | 7 | 1674 | null | null |\n| 2025-01-01| 12688| 47 | 32 | 510 | 21:59| 85 | 10 | 10 | 568 | Sat | 592 | 11 | 10 | 6 | 1974 | 19 | 35 |\n| 2024-12-31| 297 | 65 | 37 | ERROR| 23:14| 90 | 4 | 8 | null | Sun | 1691 | 15 | 53 | 5 | null | 56 | ERROR |\n| 2024-12-30| 8629 | 78 | 46 | ERROR| 22:35| 62 | null | 1 | 172 | null | 312 | 13 | 6 | ERROR| 2151 | ERROR| 11 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [9, 10, null, 12, null, 51, 1439, Fri, 1423, 79, 1974, 35, 79, 579, 6, Tue, 4, 9, 60, 84, 69, 314, 1980, 97, 747, 1605, 2025-01-10, null, null, 41, 711, 59, 2665, 22, 580, 1882, 59, 1654, 95, 7, 420, null, null, 22, 2966, 2025-01-02, 22:40, 330, null, 50, 536, 6, 29]. Compute the absolute difference between the mean of column music_listening_minutes and column exercise_minutes, only looking at the days where the number of calls was greater than 2 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:016", "request": "I have a table with 28 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 8008 && 3274| 74 && 10| 91 && 57| 300 && 587| 22:50 && 23:53| 59 && 22| 6 && 1| 8 && 9| 943 && 385| null && Tue| 378 && 350| null && 10| 26 && 41| 2 && 7| 2960 && 2933| null && 15| 28 && 59 |\n| 2025-01-25 && 2025-01-24| 15907 && 301| 68 && 35| 22 && 75| 350 && 531| 22:57 && 23:23| 31 && 21| 1 && 3| null && 2| 728 && 264| null && Thu| 965 && 848| 11 && 3| 34 && null| 2 && 1| 742 && 1150| 11 && 51| 15 && 60 |\n| 2025-01-23 && 2025-01-22| 6558 && 2562| 19 && 88| 91 && 71| 510 && 596| 22:19 && 22:58| 12 && 72| 6 && null| 2 && 10| 398 && null| Fri && Sat| 1596 && 501| 12 && 3| 46 && 45| 5 && 10| 2514 && 757| null && 23| 48 && 39 |\n| 2025-01-21 && 2025-01-20| 4872 && 11310| 16 && 15| null && 87| 360 && 578| 21:42 && null| 50 && 22| 1 && 1| 8 && 9| 122 && 522| Sun && Mon| 1922 && 391| 7 && 3| 3 && 57| 10 && 8| 835 && 2857| 32 && 12| 35 && 17 |\n| 2025-01-19 && 2025-01-18| 8165 && 9533| 88 && 61| 77 && 85| 576 && 582| null && 23:21| 38 && 11| 9 && 3| 9 && 6| 249 && 677| Tue && Wed| 800 && 751| 4 && 1| null && 37| 4 && 3| null && 1296| 49 && null| 34 && 53 |\n| 2025-01-17 && 2025-01-16| 13184 && 15206| 68 && 14| null && 16| 405 && 354| 22:27 && 22:59| 50 && 22| 7 && null| 2 && 2| 826 && 937| Thu && Fri| 521 && 665| 12 && null| 10 && 27| 7 && 10| null && 695| 27 && 45| null && 42 |\n| 2025-01-15 && 2025-01-14| 4527 && 11632| 98 && null| 18 && null| 461 && 544| 23:25 && 23:38| 39 && 17| 9 && 9| 3 && 8| 740 && null| Sat && Sun| 1642 && 1688| 4 && 6| 43 && null| 6 && 4| 825 && 992| null && 55| 15 && 29 |\n| 2025-01-13 && 2025-01-12| 2731 && null| 71 && 55| 76 && 97| 436 && 409| 21:28 && 23:32| 99 && 82| 3 && 10| 10 && null| 833 && 702| null && Tue| 1101 && 1607| 11 && 12| 22 && null| 8 && 3| 1042 && 1585| 15 && 31| 37 && 15 |\n| 2025-01-11 && 2025-01-10| 3863 && 5872| 81 && 37| 75 && 97| 561 && 388| 21:37 && 21:45| null && 74| null && 3| 10 && 5| 661 && 398| Wed && Thu| 1329 && 803| 7 && 14| 37 && 16| 5 && 10| 1384 && 2790| 36 && 53| 41 && 50 |\n| 2025-01-09 && 2025-01-08| 8994 && 5958| 92 && 99| null && 72| 585 && 534| 21:40 && 21:42| null && 75| null && 5| 9 && 10| 961 && 255| Fri && Sat| 914 && 1028| null && 14| 13 && 20| 7 && 8| 2955 && 2693| 53 && 58| 58 && 34 |\n| 2025-01-07 && 2025-01-06| 3503 && 12878| 33 && 24| 71 && 60| 539 && 429| 23:45 && 21:58| 49 && 65| 6 && 9| 1 && 6| 208 && 685| Sun && Mon| 666 && 567| 2 && null| 16 && 57| 8 && 7| 2121 && 2723| 50 && 42| 59 && 30 |\n| 2025-01-05 && 2025-01-04| null && 10537| 59 && 21| 55 && 37| 464 && 360| 22:53 && null| 53 && 71| null && 2| 3 && 4| 680 && 944| Tue && Wed| null && 1786| 15 && 5| 60 && 50| 7 && 1| 1651 && 1607| 27 && 40| null && 57 |\n| 2025-01-03 && 2025-01-02| 6111 && 13585| 83 && null| null && 51| 559 && 520| 23:14 && 21:11| 15 && 100| 1 && 1| 8 && 8| 219 && null| Thu && Fri| 1994 && 1742| 12 && 13| null && 54| 4 && 5| 1862 && 2432| 40 && null| 31 && null |\n| 2025-01-01 && null| 2428 && null| 69 && null| 37 && null| 391 && null| 23:57 && null| 39 && null| 8 && null| 9 && null| 864 && null| Sat && null| 569 && null| 12 && null| 30 && null| null && null| null && null| 33 && null| 51 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the stdev of column sleep_minutes and column exercise_minutes, only looking at the days where the number of tasks completed was greater than 3 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:022", "request": "I have a table with 28 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-01| 7019 | 71 | 87 | null | 23:42| 71 | null | 4 | 868 | Wed | 1904 | 4 | null | 7 | 2209 | 24 | 27 |\n| 2025-01-27| 16193| 13 | 61 | 590 | 22:21| 64 | 9 | 10 | 916 | Thu | 661 | 12 | 51 | 10 | 2618 | 23 | 52 |\n| 2025-01-26| 19253| 36 | null | 375 | 22:33| 23 | 7 | 1 | 257 | Fri | null | 7 | 1 | 3 | 949 | 49 | 27 |\n| 2025-01-25| 17635| 44 | 93 | null | 21:36| 74 | null | 6 | 930 | null | 902 | 11 | 37 | 2 | 2502 | 43 | 28 |\n| 2025-01-24| null | 74 | 36 | 300 | 23:58| 98 | 5 | 6 | 829 | Sun | 1061 | 10 | 4 | 2 | 2799 | 32 | 52 |\n| 2025-01-23| 4345 | 45 | 98 | 469 | 22:25| 53 | 3 | 1 | 396 | Mon | 1978 | 4 | 57 | 7 | 793 | 16 | 30 |\n| 2025-01-22| null | 18 | 10 | 431 | 21:48| 56 | 6 | 8 | 819 | Tue | 325 | null | 47 | null | 2375 | 53 | 48 |\n| 2025-01-21| 2188 | 59 | 46 | 456 | 22:21| 98 | 7 | null | 351 | Wed | 1799 | 5 | null | 2 | 2984 | 35 | 34 |\n| 2025-01-20| 15415| 32 | 98 | 397 | null | 35 | 1 | 4 | 525 | null | 1297 | 8 | 5 | 7 | null | 17 | 13 |\n| 2025-01-19| 19060| 76 | 72 | 461 | 21:11| 93 | 3 | 8 | 603 | Fri | 376 | 12 | 40 | 4 | 1152 | 19 | 13 |\n| 2025-01-18| 14905| 17 | 52 | 480 | 23:33| 21 | 7 | 9 | 487 | Sat | 1807 | 15 | 55 | 2 | 2665 | 28 | null |\n| 2025-01-17| 9013 | 51 | 96 | 341 | 22:43| 93 | null | 10 | 782 | Mon | 404 | 15 | 6 | 9 | 933 | 38 | 15 |\n| 2025-01-16| 11602| 80 | 17 | 335 | 22:12| 29 | 5 | 3 | 360 | Tue | 1430 | 8 | 39 | 8 | 2764 | 24 | 21 |\n| 2025-01-15| null | 61 | 93 | 442 | null | 89 | 5 | 6 | 347 | Wed | 1813 | 4 | 64 | 10 | 578 | 17 | null |\n| 2025-01-14| 13647| 41 | 82 | 434 | 22:30| 74 | 9 | null | 213 | Thu | 1808 | 5 | 29 | 1 | 1246 | 30 | 18 |\n| 2025-01-13| null | 53 | null | 444 | 23:23| 94 | 1 | 10 | 725 | null | 1728 | 9 | 63 | 5 | 779 | 43 | 50 |\n| 2025-01-12| 7294 | 77 | 59 | 520 | 23:50| 65 | 10 | 10 | 185 | Sat | 406 | 11 | 44 | 7 | 528 | 12 | null |\n| 2025-01-11| 12703| 52 | 82 | 576 | 23:51| 78 | null | 10 | 208 | Sun | 998 | 2 | 33 | 5 | null | 22 | 31 |\n| 2025-01-10| 11292| 36 | 45 | 377 | 22:42| 45 | 1 | 10 | 383 | null | 1117 | 2 | 42 | 8 | null | 26 | 29 |\n| 2025-01-09| 4653 | 58 | 68 | 546 | 23:22| 97 | 6 | 7 | 156 | Tue | 941 | 12 | 5 | 9 | 1617 | null | 40 |\n| 2025-01-08| 1462 | 62 | 31 | 518 | 22:21| 44 | 4 | 5 | 1000 | Wed | 1289 | 12 | 17 | 8 | 2022 | 53 | 51 |\n| 2025-01-07| 4542 | 81 | 65 | null | 23:24| 99 | 2 | 6 | 696 | Thu | 1139 | 13 | 29 | 8 | 2922 | 24 | 48 |\n| 2025-01-06| null | null | 75 | 561 | 23:39| 56 | 4 | 6 | 548 | Fri | 1357 | 15 | 25 | 7 | 2013 | 52 | 25 |\n| 2025-01-05| 2519 | 24 | 41 | null | 21:14| 35 | null | 9 | null | Sat | null | 2 | 40 | 1 | 2344 | 17 | 13 |\n| 2025-01-04| null | 50 | 97 | 492 | 21:21| null | 4 | 5 | 537 | Sun | null | 10 | 18 | 7 | 2127 | 35 | 53 |\n| 2025-01-03| 11182| 13 | 66 | 526 | null | null | 4 | 9 | 702 | null | null | 15 | 62 | 1 | 1263 | 26 | null |\n| 2025-01-02| 2320 | 43 | 58 | 534 | 22:20| 27 | null | 9 | null | Tue | 1966 | 6 | 56 | 1 | 661 | 35 | 28 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the stdev of column coding_minutes and column sleep_minutes, only looking at the days where the number of calories consumed was less than 1800 and the water intake was less than 2500 ml. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:023", "request": "I have a table with 33 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-27| 12123| null | 50 | 512 | 21:14| 37 | 10 | 9 | 657 | null | 1570 | 12 | 5 | 3 | null | null | 60 |\n| 2025-01-27| 6505 | 25 | 47 | 356 | 23:45| 56 | 10 | 10 | 753 | Tue | 564 | 3 | 22 | 5 | 2290 | 10 | 46 |\n| 2025-01-26| 16189| null | 97 | 430 | 22:31| 50 | 1 | 8 | 417 | Wed | 1988 | 6 | 47 | 7 | 602 | 34 | 11 |\n| 2025-01-25| 18897| 21 | 71 | 317 | 22:53| 24 | null | 4 | 538 | Thu | 813 | 6 | 3 | 7 | 2986 | 23 | 32 |\n| 2025-01-24| 2641 | 45 | 21 | 390 | 22:24| 84 | 4 | 3 | 537 | Fri | null | 11 | 11 | 6 | 2388 | 22 | 15 |\n| 2025-01-23| 13114| 70 | null | 401 | 22:27| 34 | 8 | 10 | 175 | Sat | 1758 | 2 | 12 | 8 | 887 | 21 | 40 |\n| 2025-01-22| 2809 | 38 | 97 | 332 | 22:11| 82 | 2 | 1 | 428 | Sun | 742 | 15 | null | null | 1225 | 55 | 37 |\n| 2025-01-21| 2073 | null | 80 | 596 | 23:36| 24 | 7 | 8 | null | Mon | 1251 | 6 | 65 | 7 | 1683 | 23 | 42 |\n| 2025-01-20| 4674 | 37 | 98 | 369 | 21:47| 31 | 6 | 9 | null | null | 1809 | 3 | null | 4 | 2582 | 13 | 13 |\n| 2025-01-19| 2018 | 71 | 91 | 341 | 21:49| 18 | 4 | 7 | null | Wed | 508 | 2 | 12 | 7 | 2546 | 11 | 32 |\n| 2025-01-18| 19658| 43 | 92 | 522 | 23:35| 83 | 7 | 5 | 769 | null | 1307 | null | 33 | null | 1506 | 16 | 48 |\n| 2025-01-17| 16465| 13 | 51 | 486 | 23:13| 89 | 10 | 10 | 634 | null | 1983 | 8 | 3 | 4 | 1800 | 36 | null |\n| 2025-01-16| 17371| 36 | 23 | 464 | 23:59| 37 | 5 | 7 | null | Tue | 1040 | 15 | 22 | 2 | 1798 | 34 | null |\n| 2025-01-15| 12642| 77 | 67 | 544 | 21:36| 47 | 1 | 7 | 489 | Wed | 1082 | 1 | 15 | 9 | 2150 | 44 | 51 |\n| 2025-01-14| null | 16 | 64 | 476 | 22:54| 41 | 2 | 7 | 498 | Thu | null | 8 | 48 | null | 1063 | 37 | 37 |\n| 2025-01-13| 4727 | 31 | 55 | 447 | 21:14| 66 | 10 | 3 | 564 | Fri | 1879 | 6 | 62 | 3 | 1710 | 52 | 14 |\n| 2025-01-12| 3922 | 22 | 28 | 442 | 22:24| null | 6 | 5 | 377 | Sat | 1593 | 9 | 32 | 4 | 2924 | 35 | 49 |\n| 2025-01-11| 10254| 76 | 19 | 444 | 22:39| 15 | 10 | null | 185 | Sun | 1678 | 2 | 19 | 5 | 1694 | 57 | 29 |\n| 2025-01-10| 7345 | 18 | 37 | 342 | 22:58| 44 | 4 | 6 | 332 | null | 475 | 1 | 17 | 2 | 2154 | 46 | 41 |\n| 2025-01-09| 17379| 95 | 75 | 419 | 22:17| null | 2 | 7 | 552 | Tue | 1260 | 2 | 35 | 6 | 1115 | 34 | 33 |\n| 2025-01-08| 4339 | 64 | 69 | 462 | 21:27| 32 | 1 | 3 | null | Wed | 1391 | 6 | 31 | null | 2564 | 10 | 38 |\n| 2025-01-07| 13411| 42 | 66 | 580 | 22:43| 99 | 4 | 7 | null | Thu | 1911 | 8 | 61 | 4 | 777 | 26 | 57 |\n| 2025-01-06| null | 31 | 94 | 467 | null | 70 | 6 | 4 | 948 | Fri | 681 | 13 | 23 | 7 | 2271 | null | 51 |\n| 2025-01-05| 3481 | 16 | 82 | 343 | 22:28| 39 | 9 | 5 | 207 | null | 1260 | 15 | 16 | 10 | 1482 | 55 | 19 |\n| 2025-01-04| 9166 | 91 | 40 | 517 | 23:41| 45 | null | null | 998 | Sun | 655 | 4 | 35 | 2 | null | 49 | 56 |\n| 2025-01-03| 16807| null | 38 | 594 | 22:17| 89 | null | 6 | 912 | null | 832 | 10 | 34 | 4 | 1481 | 26 | 54 |\n| 2025-01-02| 10257| 43 | 89 | 405 | 22:15| null | 5 | 4 | 585 | Tue | 1847 | 7 | 2 | 1 | 984 | 32 | 40 |\n| 2025-01-01| 1349 | 53 | 45 | null | 23:43| null | 10 | null | 552 | null | 1430 | 1 | 39 | 8 | 1958 | 51 | 54 |\n| 2024-12-31| 4118 | 27 | 93 | 591 | 23:26| null | 8 | 1 | 279 | null | 814 | null | 25 | 8 | 2907 | 12 | 41 |\n| 2024-12-30| null | 40 | 10 | 524 | 22:10| 75 | null | 9 | 362 | Fri | null | 6 | 43 | 3 | 1225 | 59 | 27 |\n| 2024-12-29| 19692| 40 | 94 | 409 | 22:41| null | 7 | 10 | 250 | Sat | 1728 | 3 | 58 | 10 | 2436 | 40 | 11 |\n| 2024-12-28| 11346| 23 | 35 | 378 | 22:42| 32 | 3 | 4 | 898 | Sun | 1017 | 5 | 54 | null | null | null | 36 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the median of column coding_minutes and column sleep_minutes, only looking at the days where the exercise minutes was less than 50 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:027", "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 5676 && null| 40 && null| null && 72| 377 && 462| 21:31 && 22:25| 17 && 10| null && 8| null && 5| 914 && 322| null && Tue| 804 && 779| 2 && 4| 40 && 11| 10 && 9| 997 && 2276| 52 && 57| 41 && 40 |\n| 2025-01-25 && 2025-01-24| 11627 && 1388| 13 && null| 53 && 50| 432 && 391| 23:58 && null| 14 && 86| 5 && 4| 5 && null| 405 && 152| Wed && Thu| 826 && 942| 12 && 11| 34 && null| 6 && null| 954 && null| 12 && 37| 53 && 19 |\n| 2025-01-23 && 2025-01-22| 9060 && 15794| 42 && 32| 58 && 14| 552 && 566| 23:21 && 22:39| 26 && 32| 6 && 3| 7 && 9| null && 681| null && Sat| 1113 && 883| 13 && 10| 25 && null| 6 && 6| 1114 && null| 37 && 10| 26 && 25 |\n| 2025-01-21 && 2025-01-20| 18061 && 19484| 12 && 45| 47 && 84| 390 && 394| 23:13 && 22:17| 16 && 51| 5 && 1| 7 && 6| 985 && 358| Sun && Mon| 1720 && 719| 1 && 7| 35 && null| 3 && 1| 1225 && null| null && null| 45 && 38 |\n| 2025-01-19 && 2025-01-18| 14904 && 8584| 73 && null| 52 && 81| 348 && 550| 21:25 && 22:11| 90 && 90| 7 && 4| 6 && null| 389 && 720| Tue && Wed| 1514 && 319| 8 && 15| 20 && 4| 7 && 8| 1037 && 1609| 37 && 59| 49 && 51 |\n| 2025-01-17 && 2025-01-16| 2011 && 10740| 77 && 53| null && 45| 596 && 394| null && 21:29| 88 && 76| 7 && 4| 6 && 1| 392 && 316| Thu && Fri| 1377 && 1075| 15 && 15| 42 && 64| null && null| 2047 && 524| 34 && 53| 31 && 19 |\n| 2025-01-15 && 2025-01-14| 11370 && 6880| null && 64| 59 && 20| 598 && 546| 23:49 && 22:36| 18 && 99| 10 && 3| 3 && 4| 557 && 642| Sat && Sun| 1997 && 1990| null && null| 45 && 17| 9 && 3| 1770 && 1336| 23 && 11| 33 && 25 |\n| 2025-01-13 && 2025-01-12| 4308 && null| 34 && 65| 64 && 38| 600 && 361| 22:13 && 23:40| 41 && 62| 5 && 6| 6 && 5| 217 && 988| null && Tue| 388 && 1322| 4 && 2| 29 && 40| 4 && null| 2525 && 2376| 23 && 43| null && 17 |\n| 2025-01-11 && 2025-01-10| 12404 && 8763| 87 && 100| 97 && 42| 313 && 395| 21:34 && 23:53| 95 && 26| null && 5| 7 && 1| 188 && 349| Wed && Thu| null && 1052| null && 9| 36 && 40| 10 && 9| 2308 && 1150| 25 && 58| 19 && 17 |\n| 2025-01-09 && 2025-01-08| 12728 && 8187| 98 && 92| 68 && 36| 371 && 396| 23:19 && 21:10| 98 && 59| 4 && 7| 7 && 5| 869 && 457| Fri && Sat| 1528 && 364| 7 && 4| 50 && 0| 2 && 10| 1817 && 1560| 52 && 24| 55 && 21 |\n| 2025-01-07 && 2025-01-06| 6613 && 5701| 59 && 28| null && 83| 375 && 375| 22:33 && 23:45| null && 76| 7 && 4| 5 && 2| 632 && 366| Sun && Mon| 1634 && 574| 5 && 10| 17 && null| 10 && 10| 1090 && 1212| 12 && 39| 56 && 19 |\n| 2025-01-05 && 2025-01-04| 10845 && 622| 33 && 88| 59 && 87| 596 && 336| null && null| 69 && 13| 8 && 4| 6 && 6| 858 && null| Tue && Wed| 1602 && 1124| 7 && 5| 41 && 31| 5 && 4| 1821 && 2404| 32 && 51| 41 && 26 |\n| 2025-01-03 && 2025-01-02| 13966 && 829| 63 && 79| 52 && 50| 584 && 316| 21:21 && 23:45| 22 && 86| 2 && 8| 1 && 4| 915 && 832| Thu && Fri| 1812 && 1002| 13 && 14| 17 && 15| null && 8| null && 971| 53 && 37| 10 && 16 |\n| 2025-01-01 && 2024-12-31| 10134 && 7144| 57 && 65| 30 && 68| null && 348| 22:33 && 23:39| 33 && 98| 8 && 8| null && 3| 321 && 854| null && Sun| 1208 && null| 13 && 15| 48 && 19| 6 && 8| 1032 && 2716| 36 && 20| 30 && 16 |\n| 2024-12-30 && 2024-12-29| 14250 && 1188| 100 && 92| 11 && 92| 593 && 500| 23:58 && 22:56| 38 && 65| 10 && null| 8 && 9| 968 && 199| null && Tue| 1706 && 1894| 5 && null| 6 && 54| 4 && 10| 1869 && 2494| 48 && 58| 60 && 25 |\n| 2024-12-28 && 2024-12-27| 19075 && 6426| 14 && 77| 41 && 36| 335 && 476| 22:33 && 23:17| 14 && 54| 5 && 4| 5 && 6| 501 && 223| null && null| 456 && 1068| null && null| 13 && 43| 8 && null| 1969 && 510| 28 && null| 16 && 42 |\n| 2024-12-26 && 2024-12-25| 18912 && 11963| 32 && 60| 25 && 90| 564 && 558| 21:28 && null| 10 && 29| 10 && null| null && 10| 651 && 381| Fri && Sat| 1126 && 816| 13 && 12| 13 && 37| 8 && 3| 1040 && 609| 33 && 33| 56 && 55 |\n| 2024-12-24 && null| 16744 && null| 35 && null| 22 && null| 543 && null| null && null| null && null| 3 && null| 9 && null| 999 && null| Sun && null| 1511 && null| 14 && null| 26 && null| 7 && null| 634 && null| 41 && null| null && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the stdev of column exercise_minutes and column music_listening_minutes, only looking at the days where the bed time was between 22:00 and 22:59 (inclusive) and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:033", "request": "I have a table with 30 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 1955 | 13 | 37 | 510 | 21:27| null | 4 | 5 | 788 | null | 1768 | ERROR| 56 | 4 | 2071 | 55 | 19 |\n| 2025-01-26| 14662| 12 | 81 | 316 | 21:28| 98 | 6 | 6 | 280 | Tue | null | 14 | 23 | 2 | null | 39 | 20 |\n| 2025-01-25| ERROR| 88 | 25 | 348 | null | 56 | 4 | 9 | 258 | Wed | 546 | 4 | 46 | null | 1538 | 21 | 34 |\n| 2025-01-24| 6915 | ERROR| 56 | 350 | null | 63 | 8 | 2 | 274 | Thu | 690 | ERROR| 23 | 2 | 2823 | ERROR| 10 |\n| 2025-01-23| null | 49 | 100 | 537 | 21:56| 13 | 4 | ERROR| 210 | ERROR| ERROR| 7 | 47 | null | 2410 | null | 36 |\n| 2025-01-22| ERROR| 74 | null | 566 | 22:18| 67 | 7 | 5 | ERROR| null | 1241 | 8 | 19 | 5 | 2115 | 40 | ERROR |\n| 2025-01-21| 15393| 95 | ERROR| 317 | 22:45| 75 | 9 | 10 | 728 | null | ERROR| ERROR| null | null | 1426 | 28 | 44 |\n| ERROR| 9813 | 22 | 91 | 511 | null | ERROR| 10 | 6 | 326 | Mon | 1922 | 5 | 16 | 9 | 2047 | 24 | 21 |\n| 2025-01-19| 5414 | 81 | 80 | 567 | 21:38| 30 | 5 | 8 | 227 | Tue | 1214 | 12 | ERROR| 7 | 2750 | 40 | ERROR |\n| 2025-01-18| ERROR| 15 | 45 | 359 | 22:31| ERROR| 9 | ERROR| 764 | null | 827 | 10 | 32 | 1 | ERROR| 10 | ERROR |\n| 2025-01-17| 17936| 20 | 100 | 537 | null | 64 | 4 | null | 656 | Thu | 360 | 4 | 35 | 5 | 2837 | 22 | null |\n| ERROR| 16444| null | 62 | ERROR| 21:41| 18 | 10 | 5 | 681 | ERROR| ERROR| 12 | 21 | null | 743 | 29 | 48 |\n| 2025-01-15| 7629 | 13 | 61 | 537 | 22:13| 32 | 9 | 2 | 857 | Sat | 1850 | 2 | 8 | 10 | 2698 | 54 | 49 |\n| ERROR| 4953 | null | 86 | 388 | 21:50| ERROR| 3 | 10 | null | ERROR| 1569 | 11 | 25 | 4 | 1648 | 15 | 58 |\n| 2025-01-13| 5470 | 49 | 100 | 566 | 22:20| 27 | 3 | 10 | 450 | null | 1328 | 3 | ERROR| 1 | 1138 | 22 | 50 |\n| 2025-01-12| 12848| 54 | 40 | 372 | 21:28| 46 | 4 | 7 | 149 | null | 1272 | 4 | 33 | ERROR| 2286 | 46 | 39 |\n| 2025-01-11| 9223 | 16 | 68 | 404 | 22:28| 98 | 4 | 2 | 507 | null | 1764 | 14 | 28 | 2 | 1945 | 38 | 15 |\n| 2025-01-10| 10840| 70 | null | 526 | 22:51| 17 | 4 | ERROR| 353 | Thu | 1730 | 8 | 40 | 8 | 2764 | 15 | null |\n| ERROR| 2630 | 90 | 47 | 477 | 21:25| 44 | ERROR| ERROR| 385 | null | 923 | 9 | 36 | 3 | 1564 | 16 | 23 |\n| 2025-01-08| 5290 | 48 | 36 | 362 | 22:47| 87 | 9 | 5 | 244 | Sat | 1524 | 2 | 42 | 6 | 1632 | 55 | null |\n| 2025-01-07| 4197 | 78 | 31 | ERROR| 22:39| 56 | 5 | 9 | 677 | ERROR| 1880 | 10 | 28 | 3 | null | null | 32 |\n| ERROR| 15406| 100 | 77 | 432 | 23:10| 48 | ERROR| 9 | 345 | null | 1977 | 3 | 18 | 3 | 2470 | 23 | 53 |\n| 2025-01-05| 10385| 10 | 82 | 360 | null | 17 | 8 | 6 | 736 | null | 856 | 6 | 26 | null | 2113 | 49 | 55 |\n| 2025-01-04| ERROR| 30 | 43 | ERROR| ERROR| 44 | 1 | 10 | 522 | Wed | 1707 | null | 5 | 3 | 707 | 45 | 23 |\n| 2025-01-03| 447 | 34 | null | 561 | 21:53| null | 6 | 9 | 115 | Thu | 1374 | 6 | 11 | 1 | 1353 | ERROR| null |\n| 2025-01-02| 19267| 70 | 98 | 359 | 23:55| ERROR| null | 4 | 578 | Fri | null | 2 | 37 | 1 | 1578 | 26 | 13 |\n| 2025-01-01| 9141 | 79 | 25 | 515 | ERROR| null | 2 | 5 | 899 | Sat | 1401 | 12 | 60 | 9 | 1973 | ERROR| 44 |\n| 2024-12-31| 8688 | 79 | ERROR| ERROR| ERROR| 27 | 8 | 7 | null | ERROR| ERROR| 14 | 19 | 3 | 1398 | 16 | 27 |\n| 2024-12-30| 12635| 37 | 56 | 339 | 21:37| 75 | 9 | 3 | 754 | Mon | 1690 | ERROR| null | 9 | 790 | 51 | 34 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [1, 9920, 97, 1, null, 9, null, 1172, 2032, 553, null, 82, 960, null, 2025-01-20, 39, 32, 29, 6610, 78, 4, null, 22, 2025-01-16, 402, Fri, 720, 2025-01-14, 96, Sun, 13, 10, null, 2025-01-09, 9, 5, 421, Sun, 2025-01-06, 5, 16771, 319, 22:34, null, 87, 22:33, 11, 19, 410, 22:17, Sun, 747, 9]. Compute the absolute difference between the median of column study_minutes and column exercise_minutes, only looking at the days where the study minutes was greater than 20 and the coding minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:036", "request": "I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 555 | null | 65 | 515 | 22:46| 89 | 1 | 4 | 682 | null | 488 | 3 | 43 | 5 | 1535 | 19 | 25 |\n| 2025-01-26| ERROR| null | 80 | 303 | 22:51| 20 | 3 | null | 568 | Tue | 1187 | 13 | 27 | 10 | 593 | 55 | 55 |\n| 2025-01-25| 17060| null | 64 | 312 | ERROR| 37 | 10 | 8 | 164 | Wed | 1304 | 10 | 39 | null | 1544 | 25 | ERROR |\n| 2025-01-24| 8934 | 45 | 95 | 526 | 21:24| 21 | 1 | 8 | 644 | Thu | 1758 | 4 | 43 | 7 | 1532 | 28 | 41 |\n| 2025-01-23| 12989| 45 | 16 | 388 | 22:12| ERROR| 2 | ERROR| 255 | Fri | null | 12 | 9 | 2 | 1026 | ERROR| 47 |\n| 2025-01-22| 18017| 67 | 78 | null | 23:42| 18 | ERROR| 2 | 300 | ERROR| 634 | 8 | 11 | 3 | 1428 | null | 38 |\n| 2025-01-21| null | null | 72 | 389 | 21:53| 26 | 1 | 9 | null | Sun | null | ERROR| 57 | 2 | 2336 | 50 | 59 |\n| 2025-01-20| 15300| 39 | 35 | ERROR| 23:21| 43 | 6 | 8 | ERROR| null | 1187 | 14 | 41 | 2 | 658 | ERROR| 35 |\n| 2025-01-19| null | 84 | 40 | 580 | ERROR| 37 | ERROR| 6 | 259 | Tue | 765 | 6 | 62 | null | 1752 | 12 | 35 |\n| 2025-01-18| 3906 | ERROR| 94 | ERROR| 22:22| 51 | ERROR| 1 | 152 | Wed | 834 | 2 | 31 | ERROR| 2664 | 45 | 33 |\n| 2025-01-17| 1839 | 73 | 40 | 392 | 23:14| 69 | 5 | 1 | null | Thu | ERROR| 7 | 13 | ERROR| 2337 | 44 | 20 |\n| 2025-01-16| 16601| 56 | 22 | 572 | null | 24 | 6 | ERROR| 144 | Fri | 506 | null | 44 | 9 | 1028 | 20 | 23 |\n| 2025-01-15| 15343| 69 | ERROR| 593 | null | 96 | ERROR| 1 | null | Sat | 766 | 5 | ERROR| 9 | 1043 | 31 | 19 |\n| 2025-01-14| 8021 | 95 | 51 | 581 | 21:33| 56 | 2 | 2 | 442 | Sun | 717 | 15 | 11 | 9 | 1268 | 28 | 19 |\n| 2025-01-13| 16988| 69 | 40 | 435 | 22:39| 49 | 6 | 4 | 628 | null | 654 | 12 | ERROR| null | null | null | 51 |\n| 2025-01-12| 2903 | 83 | 73 | 528 | 22:35| 33 | 9 | 6 | 765 | Tue | 1999 | ERROR| 38 | 4 | ERROR| null | 48 |\n| 2025-01-11| ERROR| 49 | 33 | 444 | 21:39| 77 | ERROR| 8 | null | Wed | ERROR| 11 | 10 | 2 | ERROR| 40 | null |\n| 2025-01-10| null | 85 | 81 | 333 | 23:42| 48 | 3 | 8 | 269 | Thu | ERROR| 10 | 27 | 6 | 1116 | 42 | ERROR |\n| 2025-01-09| 3636 | 84 | 16 | null | 21:37| 37 | 2 | null | 484 | Fri | 1469 | ERROR| 7 | 10 | ERROR| 18 | 11 |\n| 2025-01-08| 7718 | 16 | 31 | 375 | null | null | ERROR| 1 | 980 | Sat | 1226 | 15 | ERROR| 2 | 2425 | 21 | 43 |\n| 2025-01-07| 12479| 44 | 12 | null | 23:14| 45 | 7 | 5 | 109 | Sun | ERROR| 6 | ERROR| ERROR| 1967 | ERROR| 47 |\n| 2025-01-06| 6108 | 32 | 95 | 424 | ERROR| 31 | 3 | 9 | 164 | Mon | 1208 | 6 | 6 | 6 | 1834 | 32 | 23 |\n| 2025-01-05| ERROR| null | 24 | 550 | 23:31| 50 | ERROR| 2 | 953 | null | 1709 | 4 | 33 | 10 | 2328 | 18 | 30 |\n| 2025-01-04| 4135 | 32 | 14 | 332 | 23:30| 98 | 10 | null | 433 | Wed | 1748 | 2 | 58 | 7 | 1280 | 38 | 27 |\n| 2025-01-03| 7248 | 77 | ERROR| null | 23:34| 20 | 1 | null | 963 | Thu | 904 | 9 | 60 | ERROR| ERROR| 22 | 39 |\n| 2025-01-02| 17813| 22 | null | 563 | 21:59| 44 | 4 | 6 | 470 | null | 1347 | 13 | 20 | 9 | 1753 | 21 | 38 |\n| 2025-01-01| 3673 | 93 | 79 | 344 | 22:43| 31 | 9 | 4 | 462 | Sat | 1951 | 14 | null | null | 2201 | 45 | 53 |\n| 2024-12-31| ERROR| 35 | 74 | ERROR| 23:28| null | 9 | 9 | 396 | Sun | 360 | 1 | null | ERROR| 708 | 18 | 41 |\n| 2024-12-30| 12404| 70 | 54 | 550 | 22:10| ERROR| ERROR| 2 | 487 | null | 799 | 15 | 39 | 7 | null | null | ERROR |\n| 2024-12-29| 9166 | 91 | 71 | 426 | 23:57| null | 3 | 2 | 163 | Tue | 326 | ERROR| null | 1 | 1110 | null | null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [8355, 14658, 2394, 14090, 18, 36, 74, 509, null, 437, 23:56, 23:13, 23:26, 16, 98, 4, 5, 5, 9, 4, 2, 5, 2, 4, 8, 702, Sat, 1047, 653, 1002, null, 6, 15, 3, 12, 38, 47, 42, 34, 6, 9, 4, 9, 8, 2291, 2765, 732, 2536, 16, 34, 27, 38, 25, 31]. Compute the absolute difference between the median of column music_listening_minutes and column coding_minutes, only looking at the days where the number of steps was less than 17000 and the weekday is Monday. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:038", "request": "I have a table with 34 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 2025-01-27| 7931 | 70 | 44 | 574 | 22:20| 85 | 10 | null | 309 | null | 656 | 1 | 8 | 1 | 549 | 46 |\n| 28 | 31 | 2025-01-26| null | 30 | 40 | 515 | 22:39| 30 | 10 | 5 | 489 | Tue | 1777 | 9 | 5 | 6 | 2437 |\n| 2213 | 34 | 17 | 2025-01-25| 17001| 19 | 10 | 447 | 22:12| 13 | null | 7 | 235 | Wed | 1281 | 8 | 0 | 2 |\n| 9 | 733 | 26 | 46 | 2025-01-24| 2240 | 89 | 25 | 531 | 22:57| null | 2 | 8 | 918 | Thu | 1746 | 11 | 22 |\n| null | 1 | 1991 | 38 | 12 | 2025-01-23| null | 37 | 56 | 368 | 22:12| 75 | 2 | 6 | 320 | Fri | 1049 | 1 |\n| 2 | 30 | null | 844 | null | 20 | 2025-01-22| 19034| 74 | 20 | null | 22:21| 91 | 1 | 2 | 673 | Sat | 879 |\n| 1342 | 8 | 9 | 10 | 921 | 44 | 33 | 2025-01-21| 14110| null | 82 | null | 22:13| 15 | 1 | 10 | 132 | Sun |\n| null | 752 | 12 | null | 2 | 1701 | 16 | 40 | 2025-01-20| 14363| 15 | 43 | 374 | 23:10| 36 | 4 | null | 610 |\n| 526 | Tue | 1564 | 9 | 24 | 5 | 2754 | 16 | 12 | 2025-01-19| 3172 | 20 | 49 | 487 | 23:22| 62 | null | 3 |\n| 5 | 150 | Wed | 1254 | 1 | 16 | 10 | 1308 | 29 | 40 | 2025-01-18| 5298 | 99 | 54 | 593 | null | 60 | 2 |\n| 1 | 2 | 681 | Thu | 1217 | 12 | 33 | 6 | 2882 | 58 | 25 | 2025-01-17| 13735| 97 | 60 | 589 | 23:35| 23 |\n| 80 | 5 | null | null | Fri | 1674 | 3 | 42 | 2 | 712 | 58 | null | 2025-01-16| 11199| null | 32 | 513 | null |\n| 22:47| null | 7 | 1 | 522 | Sat | 1865 | 3 | 12 | 2 | 742 | 57 | 26 | 2025-01-15| 311 | 10 | 90 | 393 |\n| 429 | 22:29| 52 | null | 3 | 189 | Sun | 814 | 9 | 55 | 6 | 1677 | 54 | 24 | 2025-01-14| 19937| 59 | 95 |\n| 98 | null | 23:44| 96 | 3 | 3 | 445 | null | null | 13 | 47 | 4 | 1043 | 15 | 31 | 2025-01-13| 486 | 27 |\n| 37 | 86 | 523 | null | null | 5 | 7 | 514 | Tue | 341 | 3 | 65 | 9 | null | null | 46 | 2025-01-12| 18036 |\n| 14882| 70 | 35 | 421 | 23:58| 76 | 1 | 8 | 844 | Wed | 561 | 2 | 65 | 1 | 2147 | 17 | 28 | 2025-01-11 |\n| 2025-01-10| 6938 | 83 | 63 | 443 | 22:32| 76 | null | 9 | 316 | Thu | 430 | 1 | 48 | null | 1496 | null | 15 |\n| 28 | 2025-01-09| 2681 | 71 | 43 | 524 | 22:28| 88 | 2 | 2 | null | Fri | 669 | 12 | 15 | 9 | 696 | 23 |\n| 15 | 17 | 2025-01-08| 13897| 99 | 61 | 597 | 21:16| 14 | 9 | 1 | 303 | null | null | 11 | 8 | 1 | 848 |\n| null | 28 | 24 | 2025-01-07| 13492| 94 | 46 | 381 | 21:53| 33 | 5 | null | 400 | Sun | 1158 | 3 | 8 | 8 |\n| null | 1807 | 48 | 35 | 2025-01-06| 10992| null | 15 | 427 | 22:42| 44 | 8 | 4 | 144 | null | 347 | 8 | 26 |\n| 7 | 8 | 1623 | 56 | 54 | 2025-01-05| 12949| 100 | 51 | 351 | 23:19| 39 | 8 | 5 | 367 | Tue | 1137 | 3 |\n| 4 | 63 | 2 | 1902 | 60 | 44 | 2025-01-04| null | 82 | 60 | 568 | 23:10| 76 | 7 | 3 | null | Wed | 1224 |\n| 1140 | null | 13 | 8 | null | 35 | 36 | 2025-01-03| 3894 | 95 | 35 | 571 | 21:47| 91 | 7 | null | 298 | Thu |\n| Fri | 1240 | 9 | null | 6 | 627 | 58 | 16 | 2025-01-02| 9683 | 65 | 27 | 370 | 23:47| 51 | 2 | 7 | 949 |\n| 638 | Sat | 761 | 6 | 46 | 10 | null | null | 30 | 2025-01-01| 6299 | 83 | 75 | 376 | 23:49| 29 | 3 | 5 |\n| 5 | 509 | Sun | 1502 | 8 | 65 | null | 2737 | 41 | 36 | 2024-12-31| 3696 | 92 | 62 | 371 | 22:11| null | 6 |\n| 8 | 10 | 176 | null | 1686 | 6 | 45 | 5 | 2331 | 53 | 41 | 2024-12-30| 1968 | 75 | 71 | 555 | 23:22| 49 |\n| 30 | 1 | 7 | 805 | null | 368 | 9 | 29 | 5 | 2399 | 37 | 36 | 2024-12-29| 7363 | 18 | 34 | 389 | 21:51 |\n| 21:41| 84 | 4 | 8 | 631 | Wed | 905 | 10 | null | 7 | 2884 | 39 | 58 | 2024-12-28| 16276| 31 | 91 | 394 |\n| 421 | null | 43 | 3 | 5 | null | Thu | 684 | 4 | 60 | 3 | 2728 | 59 | 60 | 2024-12-27| 1906 | 96 | null |\n| null | null | 21:13| 79 | 5 | 10 | 639 | Fri | 1771 | 7 | 40 | 9 | 1891 | 52 | 48 | 2024-12-26| 8516 | 67 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the sum of column music_listening_minutes and column coding_minutes, only looking at the days where the number of calories burned was less than 800 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:040", "request": "I have a table with 33 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 41 | 2025-01-27| 8170 | 62 | 27 | 569 | 23:56| 26 | 6 | 1 | null | null | 350 | 4 | 27 | 9 | 2750 | 35 |\n| 21 | null | 2025-01-26| 7632 | 26 | 63 | null | 23:51| 38 | 3 | 6 | null | Tue | 962 | 10 | 38 | 6 | 1794 |\n| null | 20 | 19 | 2025-01-25| 4561 | 28 | 27 | 552 | 23:29| 56 | 4 | 5 | 184 | Wed | 1670 | 10 | 41 | 8 |\n| 4 | 1533 | 60 | 37 | 2025-01-24| 860 | 96 | 82 | 493 | 21:48| 58 | 9 | 5 | 411 | Thu | 1989 | 14 | 12 |\n| null | 3 | 2922 | 39 | 22 | 2025-01-23| 16178| null | 75 | 319 | 23:19| 100 | 2 | 2 | 207 | Fri | 546 | null |\n| 9 | 50 | 6 | 1269 | 26 | 44 | 2025-01-22| 1880 | 82 | null | 369 | 22:36| 92 | 10 | 7 | 276 | Sat | 1723 |\n| 1079 | 6 | 37 | 4 | 1664 | 45 | null | 2025-01-21| 17011| null | 10 | 348 | 21:24| 23 | null | 4 | 161 | Sun |\n| null | 1517 | 2 | 65 | 8 | 1792 | 14 | 28 | 2025-01-20| null | 18 | 27 | null | 22:55| 65 | null | 8 | 316 |\n| 914 | Tue | 646 | null | null | 8 | 629 | 26 | 34 | 2025-01-19| 4364 | 14 | 65 | 422 | 23:17| 44 | 8 | 3 |\n| 2 | 421 | Wed | 1399 | 12 | 13 | 3 | 659 | 54 | 19 | 2025-01-18| 814 | 74 | 70 | 600 | 23:16| 87 | 6 |\n| 4 | null | 195 | Thu | 1646 | 9 | null | 8 | 1543 | 57 | 54 | 2025-01-17| 15859| 39 | 50 | 542 | 22:14| 44 |\n| 23 | 7 | 2 | null | Fri | 1590 | 3 | 58 | 8 | 798 | 55 | 46 | 2025-01-16| 1355 | 38 | 50 | null | 21:37 |\n| 21:29| null | 3 | 5 | 976 | null | 1717 | 6 | 2 | 3 | null | 50 | 54 | 2025-01-15| 7583 | 74 | 27 | 439 |\n| 364 | null | 29 | 4 | 2 | 357 | Sun | 1563 | null | 43 | 3 | 2220 | 35 | 25 | 2025-01-14| 13049| 50 | 84 |\n| 28 | 395 | 22:24| 63 | 5 | 6 | 570 | null | 1244 | 7 | null | null | 2201 | 22 | null | 2025-01-13| 19780| 19 |\n| 39 | 14 | 532 | 21:11| 78 | 4 | 9 | 421 | Tue | 1837 | 5 | 12 | 8 | 1683 | 57 | 26 | 2025-01-12| 6144 |\n| 8642 | null | 35 | 363 | 22:45| 68 | 3 | 5 | 198 | Wed | 1034 | 10 | 33 | 10 | 1623 | 30 | 10 | 2025-01-11 |\n| 2025-01-10| 7255 | 25 | 62 | null | 22:59| 58 | 10 | 3 | 968 | Thu | 1397 | null | 49 | null | 598 | 22 | 13 |\n| 51 | 2025-01-09| 16073| 20 | 86 | 581 | 21:58| 18 | 8 | 7 | 182 | Fri | 1659 | 4 | 29 | 9 | 2196 | 16 |\n| 39 | 14 | 2025-01-08| 17411| 29 | 22 | 335 | 21:24| 90 | 1 | 4 | 447 | Sat | 1924 | 9 | 64 | 6 | 540 |\n| 832 | 36 | 13 | 2025-01-07| 19859| 72 | 18 | 313 | 21:51| 46 | 4 | 1 | 527 | Sun | 328 | 12 | 25 | 1 |\n| 4 | 2182 | 24 | 13 | 2025-01-06| 18051| 21 | 62 | 338 | 23:33| 11 | null | 9 | 478 | null | 1874 | null | 14 |\n| 57 | 6 | 645 | 60 | 45 | 2025-01-05| 5383 | 45 | 88 | 500 | null | 29 | null | 10 | 309 | Tue | null | 15 |\n| 7 | 8 | 2 | 1090 | 53 | 37 | 2025-01-04| null | 53 | 11 | 364 | 22:54| 84 | 3 | 9 | 656 | Wed | 437 |\n| 1089 | 11 | 16 | 8 | 2656 | 52 | 37 | 2025-01-03| 2695 | 81 | 43 | 542 | 22:19| 48 | null | 3 | 173 | null |\n| null | 1092 | 7 | 44 | 4 | null | 22 | 43 | 2025-01-02| 15731| 78 | 65 | 332 | 22:43| 12 | null | 10 | 589 |\n| 156 | Sat | 1531 | 1 | 43 | 7 | 1612 | 12 | 57 | 2025-01-01| 9564 | 20 | 69 | 373 | 23:38| 34 | null | 9 |\n| 8 | 263 | Sun | 698 | 2 | 39 | 2 | 960 | null | 38 | 2024-12-31| null | null | 80 | 494 | 21:52| 85 | 6 |\n| 5 | 2 | 200 | Mon | 1153 | 8 | 57 | 5 | 2755 | 28 | 11 | 2024-12-30| 18221| 39 | 20 | 529 | 21:56| 91 |\n| 37 | 8 | 2 | 428 | null | 754 | 10 | null | 9 | 2857 | 40 | 52 | 2024-12-29| 4439 | 45 | 32 | 569 | 21:32 |\n| 21:43| 39 | null | 6 | 773 | Wed | 889 | 9 | 15 | null | 2448 | 11 | 15 | 2024-12-28| 14444| null | 40 | 455 |\n| 349 | 23:53| 15 | 6 | 6 | 422 | Thu | 453 | null | 62 | 3 | 2407 | 30 | 32 | 2024-12-27| 4958 | 67 | 79 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the median of column study_minutes and column coding_minutes, only looking at the days where the music listening minutes was greater than 25 and the number of tasks completed was greater than 3. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:043", "request": "I have a table with 30 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 47 | 2025-01-27| 3363 | 90 | 97 | 387 | 23:59| null | null | 10 | 741 | null | 453 | 7 | 33 | 4 | 1166 | 21 |\n| 25 | 15 | 2025-01-26| 4673 | 69 | 16 | 564 | 22:58| 33 | 6 | 10 | 588 | Tue | 302 | 15 | 48 | 10 | 2165 |\n| 1667 | 54 | 25 | 2025-01-25| 340 | 33 | null | 538 | 22:26| 62 | 5 | 2 | 438 | Wed | 1778 | 10 | 48 | 5 |\n| 9 | 1660 | 36 | 40 | 2025-01-24| 8398 | null | 20 | 515 | 23:25| 42 | null | null | null | null | 1812 | 13 | 50 |\n| 9 | 4 | null | 40 | 43 | 2025-01-23| 11966| 24 | 33 | null | 21:47| 52 | 9 | 2 | 713 | Fri | 1414 | 15 |\n| 12 | 39 | 3 | 2967 | 41 | 29 | 2025-01-22| 4568 | 61 | 99 | 429 | 23:51| 94 | 7 | 1 | 774 | Sat | 638 |\n| 1558 | 3 | 51 | null | 997 | 13 | 36 | 2025-01-21| 2804 | 99 | 78 | 315 | 23:21| 97 | 8 | 4 | 186 | Sun |\n| null | 467 | 3 | 39 | null | 2550 | 39 | 11 | 2025-01-20| 7218 | 35 | 56 | 380 | 23:50| 85 | null | 1 | 450 |\n| 460 | Tue | 609 | 2 | 48 | 10 | 2683 | 22 | 43 | 2025-01-19| 550 | 49 | 85 | 485 | 22:21| 51 | 5 | 8 |\n| 8 | 240 | null | 1444 | 13 | 29 | 4 | 2616 | 37 | 47 | 2025-01-18| 11423| 73 | 39 | 571 | 22:51| 76 | 7 |\n| 8 | 3 | 408 | Thu | 1331 | 11 | 28 | 4 | null | 16 | null | 2025-01-17| 8866 | 97 | 82 | 573 | 23:21| null |\n| 40 | 1 | 4 | 380 | Fri | 1958 | 1 | 21 | 3 | 1452 | null | 60 | 2025-01-16| 13745| 61 | 52 | null | 21:43 |\n| 21:52| 84 | 6 | 10 | 722 | Sat | null | 2 | 44 | 6 | 884 | 23 | 12 | 2025-01-15| null | 37 | 58 | 557 |\n| null | 21:54| 14 | null | 7 | 752 | Sun | 1746 | null | 5 | 6 | 737 | 26 | 25 | 2025-01-14| null | 42 | 93 |\n| 97 | 498 | 22:27| 68 | null | null | 324 | Mon | 388 | 1 | 31 | 3 | 2192 | 30 | 16 | 2025-01-13| 18408| 46 |\n| 98 | 49 | null | 22:29| 100 | 7 | 9 | 685 | Tue | 1764 | 7 | 56 | 8 | 507 | null | 44 | 2025-01-12| 17473 |\n| 4503 | 49 | 73 | 520 | null | 75 | 5 | 5 | 210 | null | 1345 | 8 | 13 | 2 | 552 | 23 | 30 | 2025-01-11 |\n| 2025-01-10| 19301| null | 66 | 506 | 22:58| 63 | 4 | 5 | 987 | Thu | 1743 | 6 | 64 | 5 | 1349 | 10 | null |\n| 43 | 2025-01-09| 8421 | 25 | 65 | 341 | 21:58| 97 | 9 | 2 | 562 | Fri | 1205 | 15 | 11 | null | 881 | 32 |\n| 19 | 42 | 2025-01-08| 7715 | 65 | 10 | 443 | 22:25| 61 | 8 | 9 | 824 | Sat | null | null | 17 | null | 1384 |\n| 900 | 47 | 37 | 2025-01-07| 4298 | 69 | 48 | 412 | 22:41| null | 7 | 8 | 787 | Sun | 347 | 4 | 14 | 7 |\n| 3 | 1056 | 21 | null | 2025-01-06| 12708| 98 | 12 | 396 | 21:44| 43 | 1 | 8 | 491 | null | 1105 | 4 | 1 |\n| 41 | 8 | 1701 | 36 | 24 | 2025-01-05| 14996| 90 | 13 | 509 | 22:26| 33 | 10 | 1 | 876 | Tue | 1421 | 10 |\n| 10 | 46 | 1 | 1831 | 37 | 41 | 2025-01-04| 8899 | 87 | 86 | 597 | 23:29| 80 | 1 | 8 | 394 | Wed | 682 |\n| 1464 | 9 | 5 | 3 | 2125 | 57 | null | 2025-01-03| 11276| null | 47 | 534 | 22:11| 15 | 4 | 8 | null | null |\n| null | 1966 | 5 | 48 | 1 | 1726 | 51 | 53 | 2025-01-02| null | 55 | 47 | 428 | 21:52| 32 | 4 | 5 | 579 |\n| 863 | Sat | 1047 | 8 | 63 | 9 | null | 52 | 33 | 2025-01-01| null | 21 | 49 | 541 | 21:33| null | 8 | 7 |\n| null | 105 | Sun | 418 | 6 | 54 | 7 | 908 | 16 | 15 | 2024-12-31| 16716| 69 | 34 | 391 | 22:34| 42 | 10 |\n| 9 | 6 | 445 | null | 1464 | 6 | 16 | 5 | 1071 | 51 | 11 | 2024-12-30| 14521| 73 | 28 | 515 | 21:33| 57 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the sum of column music_listening_minutes and column exercise_minutes, only looking at the days where the number of tasks completed was greater than 3 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:044", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, num_steps, 10492, 18985, 7546, 8433, 387, 3623, 4452, 11691, 6964, 5349, null, 2274, 5170, 9638, 11948, 11279, 14442, 13588, 6485, 17655, 8371, 13127, 7901, 8925, 1194, 8620, 2677, 17398, 9329, null, 5971, -5, study_minutes, 16, 17, 35, 30, 58, null, null, 33, 32, 59, 32, 37, 91, 58, 91, 98, 61, 26, 83, 88, 65, 44, null, 96, 31, 100, null, 35, 36, 76, 100, 10, -6, exercise_minutes, 46, 74, 25, 62, 19, 69, 44, 35, 44, 67, 95, null, 98, 38, 44, 98, 38, null, 91, 99, null, 56, null, null, 93, 97, 13, 84, 29, 60, 12, 3, -1, -8, sleep_minutes, 550, 488, 419, 315, 485, 321, 482, 473, 397, 500, 369, 424, 553, 552, 438, 491, 389, 558, 509, 555, 344, 416, 533, 338, 368, 351, 458, 417, null, 467, 586, -5, -2, -10, 6, bed_time, 23:25, 22:27, 22:50, 21:51, 22:18, 23:49, 23:51, 21:26, 22:41, 23:40, 22:46, 21:28, 21:50, 23:10, 21:54, 23:12, 22:12, 21:34, 23:56, 21:38, 23:13, 23:47, 22:13, 23:53, 23:14, 22:26, 22:28, null, 23:37, 22:42, 22:52, -10, -5, -10, 2, 8, num_messages, 56, 51, 65, 93, 67, 30, 97, 76, 48, null, 92, 25, 87, 97, 64, 33, 34, 95, 99, 80, 31, 20, 46, 31, 35, 59, 42, 36, 94, 45, 99, 0, 3, -8, 2, -10, -8, num_emails, 2, 8, 1, 8, 7, 6, null, 9, null, null, null, 8, 6, 10, null, 9, 6, 9, 2, 6, 9, 7, 9, null, 2, 3, 9, 1, 9, 3, 10, 3, -7, -9, -5, -4, 2, -10, num_calls, 10, 7, 5, 1, 3, null, null, null, 1, 5, 1, 8, 5, 1, 4, null, 2, 5, 9, 7, 9, 8, null, 8, 6, 7, 8, 8, 4, 7, 3, -3, 1, -6, -2, 7, -3, -2, 9, calories_burned, 281, 879, 664, 312, 268, 203, 925, 321, 971, 198, 307, 253, 618, 108, 890, 999, null, null, 822, 925, 322, 119, 462, 381, 410, 491, 458, 588, 946, 776, 299, -1, 8, 6, -4, 7, 5, 5, -3, 6, weekday, null, Tue, Wed, Thu, Fri, Sat, null, null, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, null, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, null, Sat, null, null, Tue, Wed, 0, 0, 9, 5, -9, -5, -1, -10, 0, -6, calories_consumed, 1053, 1493, 1611, 816, 625, 1093, 901, 583, 1187, 318, 877, 872, 1666, 1930, 1617, 1013, 1132, 1559, 1801, null, 1496, 1450, 1359, 1175, 1989, 749, 591, 686, 703, 1093, 1474, -5, 9, -7, 1, 9, 1, 9, -9, 2, -5, 6, num_meetings, 9, 13, null, 6, 7, 8, 11, 15, 11, 11, 6, 15, 12, 13, 11, 3, 15, 14, 4, 11, 6, 2, 9, 6, 2, 4, 13, 5, 1, 8, 8, 1, 8, -2, 8, 10, -9, -9, 1, -5, 5, -9, -8, coding_minutes, 52, 34, null, 47, 23, 47, 33, 18, 19, 50, 27, 55, 59, 37, 18, 52, 53, 2, 44, 50, 47, 10, 50, 29, null, null, 62, 1, 53, 23, 46, -5, 0, -5, -8, 8, -7, -9, -10, -9, 8, 7, -4, -6, num_tasks_completed, 7, 3, null, 4, 1, 4, 7, 2, 9, 6, 10, 9, 6, 1, 7, 6, 5, 3, 2, 2, 2, 1, 1, 10, 8, null, 7, 2, 4, 10, null, -7, 9, 9, -1, -9, -4, 4, -3, 2, 5, 9, -4, 10, -8, water_intake_ml, 2585, 2098, 921, 2239, 2634, 1279, 1777, 2848, 2558, 2991, null, 2912, null, 2532, 779, 590, 1930, null, 1318, 1838, 1650, null, 2984, 601, 1814, null, 2184, 2137, 2586, 2201, 2405, 6, 9, -6, -4, -7, 10, 9, 4, -9, 1, -3, -9, 3, 4, 10, phone_screen_time_minutes, 47, 18, 45, 22, 33, 46, 32, null, 16, 32, 59, 59, 57, 20, 60, 20, 20, 25, 19, 60, 41, 59, 10, 15, 40, null, 36, 30, 33, 46, 35, -5, -5, -2, 5, 4, 0, -5, -7, -4, 6, 4, 1, 4, 1, -4, 10, music_listening_minutes, 33, 27, 31, 40, 10, 13, 20, null, 20, 25, 25, 39, 18, 44, 52, null, 23, 18, null, 11, 51, null, 54, null, 29, 32, 40, 47, 42, 33, 20, -4, -2, -2, 7, 1, 4, 7, 9, -3, 5, -5, -8, 3, 3, 9, 3, -4].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the median of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the sleep minutes was greater than 350 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:045", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 8345 && 5115| 79 && 63| 51 && 86| 561 && 580| 23:55 && 22:32| 68 && 53| 3 && 5| 2 && null| 762 && 535| null && null| 615 && 1196| 13 && 10| 61 && 44| 5 && 2| 800 && 2210| 41 && 35| 44 && 51 |\n| 2025-01-25 && 2025-01-24| 2802 && 15661| 39 && 17| 76 && 34| null && 321| 23:10 && 22:45| 16 && 30| 3 && null| 5 && null| 932 && 744| Wed && Thu| 1641 && 1357| null && 13| 10 && 15| 6 && 5| 1827 && 1348| 46 && null| null && 15 |\n| 2025-01-23 && 2025-01-22| 7832 && 860| 90 && 16| 24 && 68| 443 && 524| 21:25 && 23:26| 92 && null| 6 && 1| 1 && 4| 654 && 278| Fri && Sat| 1854 && 1663| 7 && null| 16 && 8| 8 && 3| 1641 && 2985| 58 && 43| 34 && 33 |\n| 2025-01-21 && 2025-01-20| 15158 && 4896| 18 && 17| 54 && 34| 398 && 405| 22:32 && 21:55| null && 35| 3 && 2| 3 && 10| 784 && 148| Sun && Mon| 1822 && 1607| 9 && 1| 22 && 49| 4 && 10| 817 && 2773| 33 && 11| null && 19 |\n| 2025-01-19 && 2025-01-18| 17479 && 14143| 97 && 11| 61 && 63| 344 && 563| 22:59 && 21:36| 54 && 26| 9 && null| 3 && 3| null && 787| Tue && Wed| null && 1507| 9 && 6| null && 55| 1 && 7| 562 && null| 47 && 55| 16 && 27 |\n| 2025-01-17 && 2025-01-16| 18057 && 5080| 36 && 39| 54 && 82| 408 && 583| 23:40 && 23:47| 82 && 67| 9 && 7| 2 && 2| 264 && 269| Thu && null| null && 1904| 4 && 14| 30 && 15| 1 && 7| 1184 && 1084| 48 && 57| 30 && null |\n| 2025-01-15 && 2025-01-14| 1767 && 6102| 50 && 67| 14 && 15| 369 && 365| 22:37 && 23:43| 38 && 77| 1 && 4| 5 && 1| 983 && 849| Sat && Sun| 1291 && 794| 10 && 3| 8 && 46| 1 && 9| 2931 && 2150| null && 25| null && 43 |\n| 2025-01-13 && 2025-01-12| 8177 && 14754| 78 && 100| 17 && 25| 552 && 440| 23:25 && 21:29| 39 && 88| 9 && 10| 5 && null| 211 && null| Mon && Tue| 737 && null| 15 && 7| 28 && 39| 10 && 7| 2577 && 2834| 57 && 46| 14 && 56 |\n| 2025-01-11 && 2025-01-10| 3652 && 8832| 53 && 35| 73 && 70| 570 && 544| 23:25 && 22:35| 17 && null| 9 && 3| 5 && 9| 169 && 486| Wed && null| 329 && 1999| 3 && 9| 50 && 28| 7 && 9| 739 && null| 47 && 19| 11 && 16 |\n| 2025-01-09 && 2025-01-08| 1567 && 5107| 88 && 40| 19 && 21| 587 && 521| 23:25 && 21:10| 31 && 97| 7 && 7| 5 && null| 574 && 598| Fri && Sat| 352 && 1660| 6 && null| 35 && 11| 6 && 3| 723 && 1664| 54 && null| 38 && 25 |\n| 2025-01-07 && 2025-01-06| 13055 && 14282| 77 && 31| 93 && 84| 521 && 359| 22:25 && 22:50| 46 && 69| 1 && 3| 6 && 10| 895 && 838| null && null| 435 && 1559| 9 && 7| 51 && 13| 10 && null| 2034 && 2336| 29 && 57| 52 && 23 |\n| 2025-01-05 && 2025-01-04| 2268 && 6494| null && null| 90 && 83| null && 509| 23:14 && 23:25| 92 && 88| 2 && null| 6 && 6| 881 && 799| Tue && Wed| 1958 && 1319| 3 && 8| 23 && 29| 5 && null| null && 2898| 35 && 30| 14 && 21 |\n| 2025-01-03 && 2025-01-02| null && 6955| 80 && 79| 21 && null| 535 && 518| 23:20 && null| 86 && 72| null && null| 10 && 8| 511 && 139| Thu && Fri| 867 && 747| 3 && 15| 11 && 51| 2 && 4| 2421 && 2947| 30 && 13| 52 && 37 |\n| 2025-01-01 && 2024-12-31| 4092 && null| 89 && 25| 20 && 96| 564 && 446| 21:46 && null| 52 && 79| null && 7| 4 && 6| 942 && 211| Sat && null| 1867 && 1502| 5 && null| 42 && 20| 4 && 1| 2525 && 640| 46 && 32| 38 && 56 |\n| 2024-12-30 && 2024-12-29| 6960 && 11790| 99 && 41| 27 && 82| 510 && 344| null && null| 46 && 19| 3 && null| 8 && 7| 837 && 421| Mon && Tue| 917 && 728| 2 && 3| 35 && 23| 10 && 4| 1270 && 1504| 30 && 12| 40 && 20 |\n| 2024-12-28 && 2024-12-27| 1828 && 4529| 32 && 82| 75 && 56| 329 && 337| 23:30 && 22:57| null && null| 4 && 5| 10 && 6| 327 && 252| Wed && Thu| 1717 && 1645| 11 && 1| 27 && 32| 5 && 7| 998 && null| 46 && 35| 31 && 49 |\n| 2024-12-26 && 2024-12-25| 9635 && 16523| 77 && null| 31 && 58| 560 && 504| 22:35 && 22:23| 18 && 50| null && 2| 4 && 9| 991 && 300| Fri && Sat| 1370 && 1318| 12 && 11| null && 44| null && 10| 1444 && 1571| null && 50| 54 && 23 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the sum of column phone_screen_time_minutes and column sleep_minutes, only looking at the days where the phone screen time minutes was greater than 25 and the number of calories burned was less than 800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:047", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 5517, 86, 25, 527, 23:42, 14, 2, 10, 809, null, 389, 3, 36, 4, 2806, 10, null, 1, 2025-01-26, 7909, 45, null, null, 23:53, 78, null, 2, 945, Tue, 1638, 14, null, 5, 1172, 21, 55, 10, -2, 2025-01-25, 12160, 85, 24, 452, 23:35, 12, 8, null, 877, Wed, 972, 14, 9, 5, 2812, 57, 28, 7, -4, -1, 2025-01-24, 17100, 38, 77, 475, null, 47, 1, 10, 841, Thu, 1866, 7, null, 7, 1854, 45, 52, -2, -4, -7, 5, 2025-01-23, 17125, 45, 71, 471, 21:25, 15, 1, 9, 828, Fri, 1762, 5, 20, 8, 2594, 37, 22, -6, -2, 3, 6, 6, 2025-01-22, 16956, 15, 40, 544, 21:15, null, 9, 2, 928, Sat, 582, 15, null, 6, 891, 14, 43, 3, 7, 8, 6, -8, -6, 2025-01-21, null, 35, 91, 318, 22:23, 93, null, 4, null, Sun, 1635, 5, 29, 10, 1732, null, 50, -2, -5, -8, -6, 5, -6, 6, 2025-01-20, 7688, null, 36, 593, 23:46, 74, 7, 10, 561, null, null, 7, 28, 4, 2162, 24, 45, -10, 2, 8, 5, 7, 0, 10, 6, 2025-01-19, 12465, 100, 11, 413, 23:51, 20, 7, 2, null, Tue, 1209, 6, 28, 8, 1078, 60, 47, 3, 5, 5, -5, -1, 1, -2, -6, 2, 2025-01-18, 736, 49, 36, 446, null, 95, 6, 3, 407, Wed, 1687, 1, 38, null, 627, 33, 35, 6, -6, 5, -6, 5, 1, -8, 6, -8, -10, 2025-01-17, 9693, 48, 55, 563, 21:26, 92, 3, 2, 557, Thu, 1909, 13, 11, 2, 669, 35, 53, -6, -10, -5, 7, 1, 1, 10, 3, -2, 8, 0, 2025-01-16, 18639, 65, 53, 384, 22:59, 46, 2, null, 547, Fri, 1980, 6, 62, 1, 1659, 40, 47, 2, -8, 8, -9, 9, 9, 6, 6, -7, 3, -4, 3, 2025-01-15, 7899, 99, 61, 408, 23:30, 47, null, 8, 531, Sat, 1893, 8, 36, 5, 1965, null, 17, 10, 6, -2, 2, 9, 5, 6, 6, 9, -1, 4, -2, 1, 2025-01-14, 18440, 97, null, 569, 21:47, 52, 5, null, 694, Sun, null, 1, null, 6, 2898, 49, 35, -10, 8, 2, -3, 2, -9, 8, -9, 2, -2, 8, -3, -3, -6, 2025-01-13, 2895, null, 51, 425, 22:37, 79, 2, 3, null, Mon, 1991, 10, 38, 1, 1068, 42, 41, -4, -6, -5, -3, -9, 2, 6, -5, 0, -9, -1, -7, -7, 0, -10, 2025-01-12, 18311, 41, 24, 315, 21:23, 42, 1, 2, 432, Tue, 906, 3, 52, 10, 2085, 23, 47, -5, 7, 7, 9, 0, -7, 6, -10, 4, 0, -3, -6, -2, -1, -3, -8, 2025-01-11, null, 55, 98, 392, 23:35, 23, 10, 5, 289, Wed, 1464, 1, null, 4, 2329, 16, 28, -3, 0, 3, -10, 8, -5, 8, -8, 3, 0, -1, -1, -9, -10, -4, 6, -7, 2025-01-10, 9652, 14, 86, 587, 22:47, 31, 3, 9, 889, Thu, 1655, 8, 51, 2, 1986, 11, 34, -5, 9, 5, 7, -6, -7, 6, -7, -7, -2, 6, 1, 3, -7, 8, -2, 10, -2, 2025-01-09, 15972, 68, 93, 330, 21:25, 75, 10, 8, 810, null, 483, 3, null, 3, null, 24, 30, -9, -6, -3, 2, 10, 0, 0, 6, 9, 6, 0, 3, -6, -6, 2, -10, -1, -8, 6, 2025-01-08, 12094, 53, 64, 351, 22:26, 25, 4, 4, 548, Sat, 1413, 14, 55, 1, 1942, 11, 12, 0, 8, 3, -5, -3, 0, -9, -6, -2, -4, -10, -3, 9, -9, 6, -3, 1, -9, 8, -10, 2025-01-07, 3189, 89, 96, 552, null, 68, 1, null, 827, Sun, 1541, 2, 47, 4, 668, 18, 11, -6, 10, 0, -10, 4, 2, 6, -6, 10, -9, 2, -7, -3, -6, -4, 5, 7, -8, 5, -4, 1, 2025-01-06, 5929, 76, 44, 479, 22:51, 29, 4, 5, 555, Mon, 1009, 10, 55, 4, 689, 55, 41, 2, 9, 2, 1, -1, -10, -1, -7, -4, -2, -1, -8, -8, 0, 5, -3, 0, -4, 7, 4, 4, 1, 2025-01-05, 11832, 93, 31, 383, 22:49, 20, 7, 1, 915, Tue, 1636, 14, 49, 10, 2117, 53, 59, 9, 6, 2, -7, 4, -6, -3, 4, -5, -3, 6, -3, -4, 4, -5, 7, 2, -9, 2, -5, 3, 10, -6, 2025-01-04, 12946, 62, 42, null, 21:39, 43, null, 8, 963, Wed, 1424, 10, 9, 2, 2380, 26, 44, -4, 5, -4, -7, 7, -2, 10, 5, -10, 6, -2, 9, 3, 9, 4, 5, 3, -1, -4, 3, -9, -6, -5, 10, 2025-01-03, 8421, 56, 72, 394, 22:52, null, 2, 9, 795, Thu, 875, 15, 1, 10, 2578, 26, null, -5, -1, -8, 5, 3, 5, 4, 2, -6, -1, -9, -8, 5, -1, -7, 2, 7, 6, 8, -5, -2, -7, -4, -1, -10, 2025-01-02, 4864, 57, null, 337, 21:53, 15, 5, 6, 282, Fri, 1346, 11, 46, null, 2694, 44, 43, 2, 4, 0, 4, -1, 10, -5, 7, -6, 9, -6, 1, -5, -5, -1, 6, 4, 1, 8, 4, -10, 4, 2, -9, -1, 4, 2025-01-01, 14966, 73, 62, 352, 22:59, 31, 4, 6, 338, Sat, null, 12, 23, 3, 529, 36, 18, -1, 6, 0, -3, 9, -8, -7, 3, 7, -4, 10, 3, -8, -1, -7, 2, 6, 4, -7, -8, 6, -5, -4, 4, 7, 3, -5, 2024-12-31, 10429, 31, null, 557, 22:51, 33, 8, 2, 967, Sun, 309, 9, 32, null, 2633, 20, null, 0, 2, -8, 8, 5, 3, -4, 7, 2, -3, 1, 4, -3, 8, 3, -4, 10, -9, -6, 4, -5, -7, -2, 4, -6, 10, 5, 9, 2024-12-30, 16589, 40, 53, 320, 21:23, 85, 7, 9, 430, Mon, 806, 4, 47, 10, 2049, 15, 29, -1, -10, -6, -4, 3, -6, 4, 1, -8, 7, -9, -4, -1, 10, -7, -5, 3, -5, 5, 1, -6, -3, 9, -7, 7, 3, -3, 2, -3, 2024-12-29, null, 34, null, 586, null, 38, 5, 3, 478, null, null, 1, 41, 1, 2125, 48, null, 8, 6, 6, 7, -4, -5, -2, 7, -7, 5, 8, -8, -9, 7, 5, 9, 2, -9, -3, -10, -2, -8, -1, -5, -8, -10, 10, 5, 3, 6, 2024-12-28, null, 31, 14, 390, 23:25, 41, null, 7, 549, Wed, 1485, 12, null, 8, 2743, 47, 15, 8, -5, 5, 1, 7, 0, -5, 6, -4, -1, 5, 1, 8, -3, -1, 5, 3, 4, 3, 6, -2, 6, 5, 5, 9, 9, 10, -10, -5, 1, -9].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the median of column coding_minutes and column exercise_minutes, only looking at the days where the number of meetings was greater than 2 and the number of tasks completed was greater than 3. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:048", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 1338, 38, 48, 318, 21:44, 56, 6, 7, 247, 2, 8, 8, 2182, 43, 2025-01-26, 8303, 18, 21:47, 57, 10, 6, 216, Tue, 1344, 12, 30, 6, 1928, 15, 2025-01-25, 17867, 88, 22, 411, 22:33, 17, 2, 8, 954, Wed, 447, 9, 47, 5, 2220, 23, 58, 2025-01-24, 7706, 37, 54, 346, 21:16, 10, 1, 10, 658, Thu, 360, 6, 36, 1171, 19, 37, 2025-01-23, 14283, 71, 419, 22:48, 89, 5, 8, 1031, 5, 63, 8, 2215, 21, 55, 2025-01-22, 3437, 11, 48, 473, 36, 8, 8, 877, Sat, 11, 59, 7, 1719, 24, 19, 2025-01-21, 79, 54, 446, 23:52, 34, 8, 6, 473, Sun, 1481, 8, 25, 4, 1078, 11, 55, 2025-01-20, 15056, 24, 387, 23:44, 2, 7, 722, 6, 26, 7, 2523, 54, 54, 2025-01-19, 19413, 72, 80, 367, 21:46, 11, 1, 7, Tue, 1145, 7, 15, 4, 1904, 17, 33, 2025-01-18, 75, 597, 23:37, 17, 6, 9, 833, 4, 49, 2262, 21, 31, 2025-01-17, 4137, 45, 18, 426, 23:44, 44, 3, 6, Thu, 1429, 4, 29, 3, 2935, 14, 2025-01-16, 8893, 98, 64, 509, 45, 5, 4, 900, Fri, 341, 3, 7, 1732, 12, 2025-01-15, 5087, 81, 47, 517, 21:15, 5, 9, 343, Sat, 1970, 11, 39, 3, 1898, 24, 29, 2025-01-14, 9800, 74, 100, 411, 23:59, 91, 1, 9, 856, Sun, 936, 13, 6, 8, 1025, 41, 48, 2025-01-13, 1089, 39, 64, 555, 22:11, 48, 4, 3, 254, 314, 10, 6, 2, 2416, 48, 53, 2025-01-12, 9898, 10, 84, 544, 21:22, 53, 8, 10, 263, Tue, 334, 8, 43, 9, 2818, 16, 50, 2025-01-11, 10926, 20, 34, 483, 22:33, 94, 1, 198, Wed, 1727, 6, 8, 786, 47, 51, 2025-01-10, 94, 83, 590, 22:20, 91, 4, 6, Thu, 1505, 1, 6, 10, 1164, 60, 33, 2025-01-09, 8094, 39, 25, 456, 22:31, 98, 3, 4, 637, Fri, 695, 15, 32, 4, 586, 58, 32, 2025-01-08, 20, 78, 348, 23:28, 13, 10, 9, 525, Sat, 1902, 4, 743, 31, 10, 2025-01-07, 38, 376, 77, 3, 8, 323, Sun, 1453, 2, 37, 6, 1403, 14, 60, 2025-01-06, 13635, 11, 37, 337, 22:49, 99, 3, 351, 1042, 12, 3, 4, 36, 56, 2025-01-05, 3957, 64, 313, 23:32, 77, 917, Tue, 1071, 4, 47, 8, 1680, 25, 51, 2025-01-04, 9793, 51, 30, 82, 3, 718, 1043, 13, 60, 10, 2801, 26, 26, 2025-01-03, 10631, 93, 27, 570, 23:39, 40, 8, 8, 127, Thu, 1037, 5, 41, 2, 41, 35, 2025-01-02, 8300, 42, 63, 378, 21:28, 94, 3, 8, 153, Fri, 15, 38, 6, 805, 41, 19, 2025-01-01, 5525, 92, 63, 454, 21:15, 10, 5, 972, Sat, 991, 8, 14, 3, 1248, 24, 33, 2024-12-31, 8717, 73, 45, 465, 22:25, 12, 1, 9, 962, Sun, 1919, 11, 15, 2, 924, 56, 2024-12-30, 14882, 13, 14, 393, 22:18, 36, 2, 5, 571, Mon, 1773, 4, 1, 3, 2196, 39, 23, 2024-12-29, 5897, 79, 83, 535, 23:16, 91, 3, 3, Tue, 12, 42, 9, 1097, 59, 16, 2024-12-28, 5708, 29, 72, 359, 21:24, 77, 4, 3, 848, Wed, 784, 14, 64, 10, 1729, 31, 47, 2024-12-27, 17370, 50, 25, 599, 23:19, 1, 4, 186, Thu, 1123, 13, 48, 8, 2925, 34, 13, 2024-12-26, 7696, 97, 47, 357, 21:29, 98, 2, 7, 118, Fri, 1583, 8, 60, 1, 2757, 10, 2024-12-25, 70, 562, 85, 5, 1, 399, Sat, 534, 10, 31, 2490, 48, 48].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(23, 7), (20, 14), (34, 1), (12, 16), (12, 13), (5, 10), (30, 9), (8, 9), (32, 6), (8, 6), (10, 3), (10, 9), (24, 5), (11, 17), (24, 8), (26, 11), (18, 1), (7, 1), (6, 5), (6, 11), (20, 1), (20, 13), (22, 7), (22, 10), (27, 6), (4, 14), (5, 9), (8, 2), (17, 8), (30, 11), (28, 17), (2, 4), (24, 4), (33, 16), (1, 11), (10, 14), (24, 10), (2, 16), (25, 15), (15, 10), (21, 2), (18, 9), (1, 17), (21, 5), (23, 2), (34, 2), (12, 5), (34, 5), (23, 8), (5, 2), (34, 14), (22, 15), (9, 9), (17, 13), (8, 10), (10, 1), (11, 9), (2, 3), (10, 10), (13, 6), (1, 10), (21, 1)]. Compute the absolute difference between the mean of column coding_minutes and column study_minutes, only looking at the days where the phone screen time minutes was greater than 25 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:050", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 19525 && 6035| 83 && 81| 19 && 58| 397 && 444| 21:12 && 23:28| null && 82| null && 1| 7 && 9| 136 && 727| null && Tue| 937 && 1427| 1 && 12| 58 && 22| 1 && 7| 1678 && 2304| 49 && 43| 56 && 22 |\n| 2025-01-25 && 2025-01-24| 17205 && 4144| 51 && 76| 59 && 65| 470 && 459| null && 21:49| 50 && null| 9 && 6| null && 9| null && 843| Wed && Thu| null && 1292| null && 12| 0 && 26| null && 10| 1840 && 2824| 20 && 56| 56 && 16 |\n| 2025-01-23 && 2025-01-22| 2990 && 11119| 13 && 17| 35 && 32| 306 && 376| 23:38 && 22:46| 10 && 37| 2 && 7| 5 && 8| 956 && 572| Fri && Sat| 328 && 509| 7 && 13| 52 && 23| 7 && 2| 1707 && 1029| 25 && 33| 53 && 37 |\n| 2025-01-21 && 2025-01-20| 9260 && 12984| 96 && 71| 24 && 16| 434 && 305| 22:46 && 23:53| 56 && 30| 10 && 5| 8 && 4| 527 && null| Sun && null| 1612 && 1442| null && 13| 57 && 21| null && 6| 1484 && null| null && 56| 45 && 16 |\n| 2025-01-19 && 2025-01-18| 3699 && 7706| null && 37| 58 && 87| 401 && 511| 23:20 && 22:24| 13 && 99| 9 && 8| 8 && 2| 989 && 680| Tue && Wed| 1640 && 1255| 5 && 9| 44 && 3| 7 && 8| 1572 && 1579| 16 && 13| null && 54 |\n| 2025-01-17 && 2025-01-16| 4252 && null| 30 && 38| 44 && 65| 445 && 544| 21:41 && 22:40| 90 && 37| 5 && 4| 6 && 3| 819 && 619| null && Fri| 1745 && 1285| 11 && 4| 18 && 47| 4 && 10| 2606 && 1330| 58 && 36| 58 && null |\n| 2025-01-15 && 2025-01-14| 2677 && 17509| 23 && 41| 58 && 94| null && 590| 23:30 && 23:15| 11 && 40| 9 && 8| 5 && 2| 760 && null| Sat && Sun| 451 && 1126| 4 && 5| 39 && 13| 1 && null| 2119 && null| 40 && 48| 32 && 57 |\n| 2025-01-13 && 2025-01-12| 12122 && 6076| 59 && 44| 39 && 80| 380 && 364| 23:10 && 22:59| 48 && 52| 1 && 5| 6 && 7| 315 && 240| null && Tue| 972 && 1136| 9 && 15| 42 && 37| 1 && 1| 2330 && 1908| 20 && 48| 47 && 11 |\n| 2025-01-11 && 2025-01-10| 1293 && 14016| null && 47| 12 && 97| null && 559| 23:27 && 22:14| 78 && 60| 2 && 5| 3 && 10| 811 && 140| Wed && Thu| 693 && 1367| 1 && 11| 7 && 29| 6 && 3| 2724 && 1757| 26 && 59| null && 17 |\n| 2025-01-09 && 2025-01-08| 15462 && null| 25 && null| 69 && 29| 466 && 491| 21:25 && 21:31| 25 && 82| null && 2| 1 && 5| 531 && 639| Fri && Sat| 1984 && 829| 9 && 5| 49 && null| 9 && 7| 2654 && 2021| 42 && 25| 10 && null |\n| 2025-01-07 && 2025-01-06| 3055 && 12693| 59 && 87| 90 && 79| 308 && 451| null && 21:19| 66 && 19| 4 && 8| 10 && 7| 221 && 835| Sun && null| 1999 && 1138| null && 13| 39 && 35| 2 && 4| 2659 && 1588| 43 && null| 50 && 31 |\n| 2025-01-05 && 2025-01-04| 709 && 19788| null && 72| null && null| null && 572| 23:57 && 22:43| 78 && null| 3 && 1| 3 && 1| 107 && 513| Tue && Wed| null && 1735| 13 && 5| 44 && 62| 10 && 1| 2057 && 2833| 29 && 52| 50 && 12 |\n| 2025-01-03 && null| 10506 && null| 39 && null| 49 && null| 548 && null| 21:58 && null| 54 && null| 7 && null| 2 && null| 388 && null| null && null| 1143 && null| 7 && null| 39 && null| 9 && null| 1010 && null| 43 && null| 22 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the stdev of column coding_minutes and column phone_screen_time_minutes, only looking at the days where the number of meetings was greater than 2 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:051", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, num_steps, 6304, 18187, 12883, 8053, 18745, 9019, 19031, 647, 11710, 10233, 13798, 3658, 10701, 7999, 8421, 5364, 6289, 17908, 5921, 7857, 18237, 4093, 8129, 12660, 15029, 1926, 3476, 298, 19045, study_minutes, 27, 41, 70, 63, 42, 24, 19, 83, 45, 90, 30, 76, 11, 67, 48, 25, 48, 43, 21, 32, 25, 93, 100, 85, 92, 87, 45, 46, 33, exercise_minutes, 82, 50, 59, 68, 48, 85, 97, 16, 88, 17, 14, 40, 98, 44, 51, 42, 74, 100, 20, 92, 34, 87, 40, 14, 64, 71, 67, 67, sleep_minutes, 558, 528, 594, 451, 591, 378, 506, 388, 519, 420, 387, 324, 410, 550, 428, 514, 576, 392, 557, 475, 475, 556, 393, 499, 400, 559, 334, 381, 600, 475, 428, bed_time, 22:15, 23:31, 21:47, 22:24, 21:59, 22:44, 23:47, 21:11, 21:20, 22:29, 23:26, 22:47, 22:17, 21:25, 22:57, 21:51, 21:17, 21:38, 23:35, 21:22, 21:34, 22:28, 22:12, 22:43, 21:22, 23:26, 22:39, num_messages, 13, 44, 11, 35, 95, 25, 93, 39, 23, 89, 47, 25, 91, 24, 77, 97, 36, 70, 31, 79, 19, 14, 13, 39, 41, 87, 45, num_emails, 4, 1, 6, 6, 10, 1, 6, 1, 4, 5, 2, 2, 6, 6, 7, 5, 1, 1, 3, 4, 8, 6, 7, 5, 9, 4, 5, 4, num_calls, 9, 8, 7, 5, 9, 7, 2, 1, 4, 4, 7, 3, 9, 8, 7, 7, 9, 3, 7, 3, 2, 4, 1, 7, 1, 2, 9, 9, 6, 5, calories_burned, 593, 281, 745, 514, 139, 217, 642, 274, 113, 973, 299, 723, 514, 720, 868, 441, 825, 895, 642, 480, 214, 806, 496, 124, 221, 516, 942, weekday, Mon, Tue, Wed, Thu, Fri, Sat, Tue, Thu, Fri, Sat, Tue, Wed, Fri, Sat, Tue, Wed, Thu, Sat, Sun, Tue, Wed, calories_consumed, 1323, 1175, 541, 811, 1577, 1428, 1719, 664, 886, 311, 1710, 1121, 1364, 544, 769, 1431, 1803, 1045, 517, 724, 1160, 966, 1265, 1393, 1307, 1087, 683, 1400, 376, num_meetings, 10, 4, 12, 2, 8, 3, 3, 13, 5, 13, 10, 5, 9, 4, 5, 10, 4, 9, 14, 2, 6, 2, 11, 1, 14, 5, 5, 3, coding_minutes, 56, 22, 45, 45, 32, 12, 15, 24, 8, 63, 49, 32, 8, 47, 54, 46, 14, 12, 61, 30, 16, 20, 30, 54, 37, 15, 17, num_tasks_completed, 2, 7, 9, 10, 8, 3, 8, 7, 7, 4, 6, 10, 8, 5, 8, 9, 10, 8, 8, 5, 5, 9, 3, 2, 5, 4, 2, 8, 1, water_intake_ml, 2882, 2289, 1856, 667, 1506, 1153, 1033, 829, 1928, 959, 1206, 1265, 2751, 1401, 2525, 1582, 1534, 2377, 1835, 2871, 919, 1580, 1629, 585, 1923, 1300, phone_screen_time_minutes, 29, 30, 55, 47, 55, 52, 31, 23, 42, 29, 24, 15, 33, 59, 44, 24, 56, 30, 13, 28, 51, 10, 59, 27, 31, 15, 11, music_listening_minutes, 11, 42, 20, 21, 21, 16, 55, 57, 32, 27, 29, 57, 48, 54, 26, 36, 43, 14, 19, 34, 17, 36, 55, 41, 47, 26, 29, 57].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(20, 11), (21, 10), (21, 16), (4, 9), (31, 17), (14, 10), (17, 6), (11, 8), (25, 7), (25, 13), (18, 1), (16, 16), (7, 10), (18, 10), (31, 7), (29, 10), (18, 13), (21, 12), (12, 9), (20, 13), (21, 15), (22, 10), (28, 5), (17, 11), (14, 15), (17, 17), (27, 15), (11, 7), (2, 1), (18, 5), (25, 3), (25, 17), (16, 9), (29, 6), (26, 10), (15, 10), (31, 9), (22, 6), (12, 5), (27, 2), (9, 3), (28, 16), (5, 14), (9, 12), (8, 10), (17, 13), (19, 16), (10, 10), (15, 6), (2, 12), (26, 3), (2, 15), (16, 14), (29, 5), (31, 2), (15, 15)]. Compute the absolute difference between the stdev of column sleep_minutes and column phone_screen_time_minutes, only looking at the days where the number of messages was greater than 5 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:052", "request": "I have a table with 30 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, num_steps, 17775, 10343, 10853, 1404, 14129, 8049, 1002, 5302, 4858, 17767, 19871, 7530, 2931, 2942, 9228, 18199, 14781, 6435, 2361, 6475, 13862, null, 11043, 7232, 9269, 3431, 9204, 15123, 5649, 3, study_minutes, 10, 95, 52, 16, null, 87, 27, 54, null, 11, 87, 52, 30, 32, 46, 64, 63, 55, null, 31, null, 44, 52, 22, 93, 14, 95, 42, 65, 3, -4, exercise_minutes, 19, 36, 60, 10, null, 40, 62, 67, 16, 58, 81, 49, 22, 61, 20, 65, null, 29, 77, 23, 99, 38, 57, null, 97, 52, 51, 15, 39, 0, -2, -5, sleep_minutes, 556, 383, 356, 317, 400, 311, 395, 447, null, 580, 578, 595, null, null, 303, 560, 528, 597, 401, 344, 421, null, null, 377, 328, 529, 393, 312, 316, 2, -7, -7, -1, bed_time, 22:34, 23:54, 23:42, 23:42, null, 21:40, null, 21:56, 21:41, 21:22, 21:29, 21:11, null, 22:32, 21:20, 21:51, 21:30, 22:14, 21:34, 23:10, 23:20, 21:29, 23:35, 21:51, 21:47, 21:29, 22:42, 22:28, 22:23, -7, 6, -2, -9, -1, num_messages, 60, 45, 95, null, 58, null, 32, 22, 22, 57, 66, null, 24, 78, 18, 77, 96, 50, 95, 63, 39, 37, 11, 95, 74, 94, 53, null, 53, 2, 3, -7, 9, -2, -10, num_emails, null, 10, 3, 6, 5, 8, 6, 4, 7, 7, 9, 10, 4, 1, 7, 1, null, 8, null, 3, 6, 10, 9, 1, 7, 7, 7, 2, 4, 4, -9, -3, -6, -9, -7, -9, num_calls, 7, 5, 9, 7, 8, null, 7, 5, 4, 7, 7, 9, 5, 9, 9, 9, 3, 6, 3, 4, 2, 2, 8, 9, 8, 3, 6, 7, 3, -10, -4, 9, 9, 8, -3, 9, 10, calories_burned, 942, 483, 550, 578, 512, 407, 775, 854, 668, 207, 919, null, null, null, 706, 741, 386, 433, 404, 927, 313, 959, 511, 585, 346, 920, 425, 454, 720, 2, 8, 0, -6, -4, -1, 9, 7, -7, weekday, Mon, Tue, Wed, Thu, Fri, null, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, null, Thu, Fri, null, Sun, null, -5, -1, 6, 0, 0, 1, -3, 6, 0, -5, calories_consumed, 1914, 335, 1942, 1959, 571, 395, 1188, 1683, 829, 1552, 908, 1861, 445, 421, 770, 542, 761, 462, 1620, 676, 497, 399, 322, 772, 540, 939, 1513, 1637, 1716, 10, 6, 9, -4, -9, -5, -5, -1, -2, 7, 2, num_meetings, 11, 15, 6, 4, 10, 9, 11, 3, 10, 1, 14, null, 3, 12, 6, 11, 3, 15, 11, 15, null, 3, 4, 13, 1, 8, 15, 7, 13, 7, -9, 5, 0, -7, 3, 1, -9, 3, 8, -7, -9, coding_minutes, 57, 1, null, 11, null, 4, null, 55, 62, 6, 7, 31, 3, null, 21, 36, 40, 9, 34, 25, 11, 19, 21, 42, 19, 14, 55, 9, 63, 3, 0, -8, -6, -1, 10, -3, -9, -8, -1, -4, 4, 7, num_tasks_completed, 8, null, 10, 8, 4, 3, 6, 1, 1, 9, 4, 5, 9, 8, 1, 6, 5, 7, 9, 6, 10, null, 5, null, 3, 4, 5, 2, 4, -5, -2, -1, -1, 1, 4, 1, 5, -1, 8, -8, 0, -8, 5, water_intake_ml, 951, 1782, 1863, null, 1589, 2844, 1626, 2169, null, 1757, 1269, 1572, 1092, 1551, 1582, 1546, 2403, null, 2905, 1998, null, 563, null, null, 1052, 1107, 1031, 647, 2907, -10, -8, 2, 10, 10, 6, -2, -6, -5, 9, 7, -4, -2, 0, 0, phone_screen_time_minutes, 44, 44, 31, 55, null, 43, 36, 33, 50, 30, null, 11, 36, 10, 57, 36, 23, 19, 59, 45, 47, 46, 56, 57, 42, 28, 55, null, 51, -4, 10, -2, 2, -8, 3, 10, -4, -1, 9, 8, -3, -6, -1, -1, 8, music_listening_minutes, 30, 35, null, 29, 20, 19, 29, 46, 17, 26, 44, 11, 51, null, 22, 45, 37, 49, 55, 27, 40, 48, 28, null, 34, 48, 46, 10, 12, 5, -6, -2, -4, 10, 0, 8, -5, -4, -2, -9, -7, -10, -4, -7, -6, -6].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the stdev of column study_minutes and column phone_screen_time_minutes, only looking at the days where the number of tasks completed was greater than 3 and the weekday is Monday. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:053", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | 2025-01-27| 15573| null | 82 | 534 | 21:56| null | 2 | 9 | 248 | Mon | 588 | 7 | 11 | 4 | 2827 | 47 |\n| 15 | 17 | 2025-01-26| 2996 | 15 | null | 479 | 23:29| 43 | 7 | 2 | 906 | Tue | 414 | 13 | 43 | null | 1897 |\n| 1797 | 36 | 34 | 2025-01-25| 14246| 15 | 54 | 372 | 22:12| 44 | 1 | 7 | 597 | Wed | 1933 | 8 | 46 | 8 |\n| 2 | 634 | 60 | null | 2025-01-24| 9760 | 86 | 50 | null | 23:20| 57 | 7 | null | 740 | Thu | 1766 | 4 | 17 |\n| 65 | 4 | 2094 | 34 | null | 2025-01-23| 8602 | 94 | 39 | 397 | 22:28| 17 | null | 4 | 653 | Fri | 552 | 1 |\n| 15 | 4 | 7 | 2460 | 28 | 35 | 2025-01-22| 19167| 57 | 84 | 410 | 23:27| 78 | 3 | 7 | 119 | null | 513 |\n| 462 | 5 | 50 | 1 | 2976 | 46 | 25 | 2025-01-21| null | 51 | 37 | 367 | 22:50| 26 | 8 | 2 | null | Sun |\n| null | 1969 | 9 | 25 | 6 | 1344 | 26 | 14 | 2025-01-20| 11613| 81 | 85 | 439 | 23:57| 97 | 7 | 5 | null |\n| 282 | Tue | 902 | 13 | 57 | 5 | 2245 | null | 19 | 2025-01-19| 8913 | 87 | 90 | 545 | 23:20| 33 | 10 | null |\n| 2 | 333 | Wed | 1195 | 7 | 1 | 5 | null | 52 | 50 | 2025-01-18| null | 95 | 36 | 482 | 22:25| 79 | 2 |\n| 8 | 4 | 195 | Thu | 395 | 13 | 29 | 1 | 1216 | 51 | 23 | 2025-01-17| null | null | 96 | 302 | 22:38| 48 |\n| 68 | 7 | 7 | 943 | Fri | 1073 | 8 | 16 | null | 1466 | 22 | 54 | 2025-01-16| 16083| 27 | 39 | 490 | 23:58 |\n| 21:16| 78 | 3 | 9 | 157 | Sat | 1258 | 7 | 18 | 7 | 2495 | null | 29 | 2025-01-15| 3305 | 13 | 36 | 503 |\n| 486 | 21:29| 95 | 8 | null | 908 | Sun | 1427 | 4 | 61 | 9 | 1910 | 48 | 21 | 2025-01-14| 7910 | 41 | null |\n| null | 335 | 21:16| 43 | 3 | 6 | 109 | null | 1873 | 2 | 64 | 9 | 2552 | 13 | 48 | 2025-01-13| 1285 | 99 |\n| 45 | 63 | 322 | null | 11 | 5 | 2 | null | Tue | 1748 | 14 | 33 | 6 | 2995 | 10 | 14 | 2025-01-12| null |\n| null | 90 | 51 | 363 | 23:21| 52 | 6 | 6 | 569 | Wed | 721 | 11 | 46 | 9 | 1557 | 40 | 50 | 2025-01-11 |\n| 2025-01-10| 15225| 50 | 25 | 497 | 21:48| null | 3 | 7 | 856 | Thu | 1840 | 7 | 56 | 6 | 1472 | 58 | null |\n| 27 | 2025-01-09| 11457| 21 | 12 | 414 | 23:42| 71 | 6 | 10 | 751 | Fri | 1345 | 12 | 0 | 10 | 1230 | 47 |\n| 12 | null | 2025-01-08| null | 21 | 23 | 364 | 23:27| 64 | 9 | 8 | 972 | Sat | null | 5 | 59 | 2 | null |\n| 969 | 29 | 27 | 2025-01-07| 11369| 98 | 30 | 357 | 21:24| 37 | null | 6 | 625 | Sun | null | 5 | 32 | 9 |\n| 1 | 2052 | 41 | 21 | 2025-01-06| 14752| null | 81 | 430 | 23:35| 67 | 1 | 4 | 966 | Mon | 570 | null | 5 |\n| 44 | 9 | 2839 | 36 | 47 | 2025-01-05| null | 71 | 53 | 422 | 23:37| 30 | 7 | 7 | 202 | Tue | 1230 | 7 |\n| null | 61 | 10 | 1682 | 46 | 50 | 2025-01-04| 6867 | 31 | 40 | 311 | null | 92 | 2 | 3 | 220 | Wed | null |\n| 435 | 15 | 53 | null | 1690 | 33 | 55 | 2025-01-03| 4974 | 49 | 70 | 440 | 21:31| 25 | 1 | 1 | 265 | Thu |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the mean of column exercise_minutes and column study_minutes, only looking at the days where the number of steps was less than 17000 and the music listening minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:054", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 15589, 95, 38, 503, 23:14, 29, 5, 9, 154, Mon, 1446, 14, 7, 5, 33, 10, 2025-01-26, 12519, 83, 100, 22:39, 48, 9, 7, 179, Tue, 516, 8, 14, 1, 14, 26, 2025-01-25, 2104, 63, 361, 22:40, 46, 4, 6, 963, Wed, 831, 4, 1201, 11, 28, 2025-01-24, 12407, 50, 529, 22:40, 45, 10, 457, Thu, 14, 61, 2, 1725, 57, 44, 2025-01-23, 12044, 70, 20, 503, 21:23, 54, 7, 3, 958, Fri, 418, 8, 48, 5, 796, 32, 17, 2025-01-22, 5809, 49, 99, 350, 21:39, 26, 5, 1, 502, Sat, 895, 24, 7, 1726, 22, 28, 2025-01-21, 16689, 27, 23:46, 5, 2, 502, Sun, 558, 12, 13, 9, 1507, 46, 26, 2025-01-20, 8966, 16, 78, 352, 22:10, 29, 6, 7, 650, 983, 1, 5, 8, 752, 12, 54, 2025-01-19, 17026, 41, 59, 501, 21:55, 21, 10, 4, Tue, 1036, 4, 8, 2, 1592, 50, 22, 2025-01-18, 15605, 16, 74, 528, 22:20, 1, 7, 484, Wed, 1678, 12, 0, 6, 899, 52, 11, 2025-01-17, 9388, 83, 61, 345, 23:27, 26, 6, 9, 102, Thu, 685, 12, 26, 3, 791, 10, 16, 2025-01-16, 2675, 90, 594, 22:25, 85, 7, 8, 950, Fri, 4, 30, 2, 1109, 20, 46, 2025-01-15, 4526, 89, 17, 361, 23:50, 84, 8, 9, 840, Sat, 12, 60, 3, 2045, 16, 32, 2025-01-14, 18432, 62, 16, 495, 22:45, 19, 7, 10, Sun, 1240, 7, 0, 8, 2457, 37, 2025-01-13, 3296, 44, 577, 21:20, 32, 10, 775, 1515, 15, 24, 10, 2479, 52, 2025-01-12, 1346, 89, 46, 436, 21:34, 73, 9, 6, 195, Tue, 371, 2, 7, 6, 58, 54, 2025-01-11, 646, 97, 41, 482, 21:10, 31, 9, 10, 901, Wed, 458, 17, 9, 631, 57, 34, 2025-01-10, 10038, 63, 589, 23:15, 8, 7, 326, Thu, 1769, 7, 20, 1, 2052, 57, 15, 2025-01-09, 4792, 47, 71, 592, 21:33, 6, 2, 421, 1460, 12, 8, 882, 21, 41, 2025-01-08, 3438, 32, 357, 21:26, 43, 1, 10, 707, Sat, 1027, 55, 4, 631, 34, 2025-01-07, 9394, 32, 41, 357, 28, 5, 460, Sun, 470, 15, 39, 4, 1997, 50, 40, 2025-01-06, 8672, 72, 66, 441, 21:41, 57, 6, 8, 312, 1, 45, 10, 1440, 58, 2025-01-05, 8853, 59, 22, 383, 52, 4, 8, 981, 1213, 2, 35, 6, 2643, 36, 56, 2025-01-04, 13708, 46, 29, 431, 22:11, 61, 1, 3, 249, Wed, 10, 50, 2, 1383, 54, 35, 2025-01-03, 14065, 26, 599, 22:25, 72, 10, 717, Thu, 611, 12, 21, 3, 2835, 24, 21].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(6, 12), (4, 3), (23, 10), (14, 16), (19, 6), (22, 17), (17, 12), (10, 6), (13, 11), (24, 11), (7, 4), (1, 15), (15, 8), (15, 17), (12, 3), (20, 16), (14, 9), (22, 10), (4, 8), (3, 12), (4, 11), (2, 4), (25, 3), (7, 3), (15, 10), (7, 6), (21, 5), (18, 6), (16, 15), (21, 8), (23, 5), (3, 2), (22, 9), (12, 11), (20, 12), (3, 14), (9, 9), (19, 10), (8, 10), (19, 13), (25, 8), (18, 2), (15, 3), (2, 15), (20, 2)]. Compute the absolute difference between the sum of column study_minutes and column coding_minutes, only looking at the days where the number of calories consumed was less than 1800 and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:055", "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 11990| 74 | 57 | 585 | 23:42| 16 | 1 | 9 | ERROR| null | 1782 | 11 | 47 | ERROR| 804 | null | 22 |\n| 2025-01-26| 3831 | 54 | 94 | 517 | ERROR| 93 | 3 | ERROR| 896 | Tue | 1941 | 5 | 24 | 5 | null | 54 | 39 |\n| 2025-01-25| null | 69 | 20 | null | 22:11| null | 1 | 1 | 905 | Wed | 1351 | null | 1 | 1 | null | ERROR| 28 |\n| 2025-01-24| 17004| 23 | null | 430 | 23:19| ERROR| 6 | ERROR| 464 | Thu | 1435 | 6 | null | 5 | 683 | 60 | ERROR |\n| 2025-01-23| 11346| 69 | 10 | 580 | 23:29| 34 | 10 | 10 | null | Fri | ERROR| null | 53 | 1 | 1059 | 27 | 38 |\n| 2025-01-22| 10169| 14 | 76 | 418 | 23:43| 71 | 6 | 3 | 885 | Sat | ERROR| 11 | 53 | 7 | 2453 | 25 | 39 |\n| 2025-01-21| 15275| 50 | 95 | 358 | 22:32| ERROR| 2 | null | 934 | Sun | 1650 | ERROR| 0 | ERROR| 2487 | 16 | ERROR |\n| 2025-01-20| 16053| 49 | 74 | 539 | 21:42| null | ERROR| 9 | 900 | Mon | 1121 | 2 | 48 | 7 | 2384 | 58 | ERROR |\n| 2025-01-19| 7738 | 26 | 95 | 566 | 23:10| null | 10 | 7 | 623 | Tue | 441 | 4 | 10 | 10 | 2588 | 23 | 55 |\n| 2025-01-18| 18011| 77 | 91 | 576 | 21:30| 78 | 8 | ERROR| 904 | Wed | 1235 | 14 | 45 | 4 | 583 | 32 | 33 |\n| 2025-01-17| ERROR| ERROR| 72 | 340 | 22:39| 75 | 9 | ERROR| 534 | Thu | 498 | 8 | 36 | 2 | 2296 | 23 | null |\n| 2025-01-16| 420 | 86 | ERROR| 414 | null | 96 | 4 | null | 633 | Fri | 589 | null | 57 | null | 802 | 31 | 34 |\n| 2025-01-15| 16950| null | 25 | 540 | 21:33| 100 | 7 | 6 | 492 | Sat | 779 | null | 20 | 6 | 1785 | 28 | 28 |\n| 2025-01-14| 2869 | 32 | 16 | 380 | ERROR| 50 | 3 | 5 | 460 | Sun | 386 | 5 | 23 | 7 | null | 21 | 10 |\n| 2025-01-13| 17419| 81 | 73 | 491 | 21:54| 68 | 1 | 9 | 269 | Mon | 881 | 15 | 49 | 6 | 1128 | 12 | 44 |\n| 2025-01-12| 5189 | 85 | 78 | 523 | 21:22| ERROR| 7 | 6 | null | Tue | 1739 | 15 | 46 | 4 | null | 29 | 49 |\n| 2025-01-11| 7948 | null | 89 | 594 | 21:22| 52 | 7 | 8 | 410 | Wed | 437 | 5 | null | 4 | 564 | ERROR| 27 |\n| 2025-01-10| 4127 | 13 | 82 | 537 | 21:52| 57 | null | 3 | 452 | ERROR| 1666 | null | 41 | ERROR| null | 23 | 13 |\n| 2025-01-09| 11441| 41 | ERROR| ERROR| ERROR| 27 | 3 | ERROR| 833 | Fri | 466 | 6 | 5 | 8 | 1292 | 18 | ERROR |\n| 2025-01-08| 6283 | 44 | 26 | 559 | null | ERROR| 9 | 8 | 584 | Sat | 611 | 5 | ERROR| 6 | ERROR| ERROR| 24 |\n| 2025-01-07| 3125 | 66 | null | 515 | ERROR| ERROR| 2 | 1 | 779 | Sun | 1540 | 15 | 29 | 5 | 2390 | 19 | 43 |\n| 2025-01-06| 9553 | 63 | 32 | ERROR| 23:47| 58 | 6 | 8 | ERROR| Mon | ERROR| 3 | 3 | ERROR| 1387 | 28 | 54 |\n| 2025-01-05| 7674 | 93 | 26 | ERROR| 22:11| 68 | 2 | 8 | 439 | Tue | 559 | ERROR| null | 10 | ERROR| ERROR| 48 |\n| 2025-01-04| 16875| 49 | 44 | 470 | 23:24| ERROR| 8 | 2 | 259 | Wed | 1421 | 2 | 5 | 1 | 2129 | 43 | 18 |\n| 2025-01-03| 8549 | ERROR| 66 | ERROR| 22:38| 62 | null | 6 | 185 | Thu | 650 | 2 | 30 | 6 | 1198 | 34 | 41 |\n| 2025-01-02| 12904| 39 | 60 | 516 | 22:49| 25 | 6 | 1 | ERROR| Fri | 1664 | 12 | 35 | 5 | null | 36 | 26 |\n| 2025-01-01| null | 68 | 62 | 535 | null | null | null | 1 | null | Sat | 1713 | 6 | 14 | 10 | 900 | 58 | 37 |\n| 2024-12-31| 9159 | 23 | null | ERROR| 21:28| null | 7 | 9 | 233 | Sun | null | ERROR| 46 | null | 2104 | null | 38 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [null, 49, 25, 41, null, 510, 466, 429, 448, 411, 22:17, 22:43, 23:30, 21:53, 93, 57, 15, 63, 71, 21, 10, 8, 6, 5, 5, 3, 444, 453, 677, null, 1671, 1704, 852, null, 3, 5, 29, 3, 5, 6, null, 2942, 981, 52, 53, null, 17, 29, 19, 57, 25]. Compute the absolute difference between the stdev of column study_minutes and column exercise_minutes, only looking at the days where the weekday is Monday and the coding minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:056", "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| null | 52 | 66 | 543 | null | 79 | 1 | 10 | 186 | Mon | 1893 | 2 | 15 | 1 | 2568 | 26 | 14 |\n| 2025-01-26| 3749 | 26 | 39 | 371 | ERROR| 73 | 5 | 4 | 855 | Tue | 1277 | 11 | 40 | 2 | 2326 | 59 | ERROR |\n| 2025-01-25| 12022| 24 | 51 | 340 | 21:28| 73 | 7 | 10 | 514 | Wed | 1070 | 9 | 56 | 6 | ERROR| 22 | 57 |\n| 2025-01-24| 7256 | 94 | null | 373 | 22:45| 91 | 3 | 7 | 744 | Thu | 1208 | null | 50 | 3 | 1363 | 57 | 47 |\n| ERROR| 3734 | 82 | 43 | ERROR| 21:25| 51 | 8 | 1 | ERROR| ERROR| null | 4 | 23 | 9 | ERROR| 45 | 59 |\n| 2025-01-22| ERROR| 21 | 42 | 471 | 22:21| 65 | null | 2 | null | Sat | 1651 | 6 | 44 | 7 | null | 11 | 35 |\n| 2025-01-21| 116 | 28 | 89 | null | 21:42| 99 | null | 10 | null | Sun | 625 | 10 | 34 | 9 | 1097 | null | 27 |\n| 2025-01-20| 14684| ERROR| 20 | 563 | 22:44| 17 | 8 | 10 | 100 | ERROR| 1225 | ERROR| 20 | 10 | 1508 | 18 | 51 |\n| ERROR| 18371| null | 46 | 464 | 22:11| 70 | 4 | 10 | 621 | null | 1235 | 7 | ERROR| 3 | null | ERROR| 50 |\n| 2025-01-18| 18257| 84 | null | 304 | 23:36| 63 | 8 | 9 | 546 | Wed | 724 | 11 | ERROR| 7 | 651 | 10 | 17 |\n| 2025-01-17| 9885 | 23 | 63 | 426 | 23:18| 83 | 5 | 3 | 878 | Thu | 1874 | 5 | 26 | 2 | 1907 | null | ERROR |\n| 2025-01-16| 5784 | 51 | 44 | 329 | 22:52| 33 | 6 | 9 | 580 | ERROR| 715 | null | ERROR| 6 | 909 | 32 | 55 |\n| 2025-01-15| 10599| ERROR| null | null | ERROR| 81 | 8 | 1 | 188 | Sat | 1703 | null | 2 | 9 | 1122 | 15 | 31 |\n| ERROR| ERROR| 26 | 30 | 503 | 22:14| ERROR| 8 | 9 | 902 | Sun | 1656 | 14 | ERROR| null | null | null | 30 |\n| 2025-01-13| 12494| 36 | 54 | 583 | 21:33| 68 | 7 | 3 | 702 | Mon | ERROR| 10 | 30 | ERROR| 918 | 12 | 16 |\n| 2025-01-12| ERROR| 20 | 63 | 457 | 22:15| ERROR| 4 | 3 | 919 | Tue | ERROR| null | 2 | ERROR| 1460 | 25 | 32 |\n| ERROR| 750 | ERROR| ERROR| null | 21:44| 47 | 10 | null | 455 | Wed | null | 15 | 57 | 2 | 2868 | 27 | 50 |\n| 2025-01-10| 2125 | 77 | 96 | 362 | 22:29| 81 | 8 | 10 | 164 | Thu | null | 5 | 11 | 6 | null | 34 | 40 |\n| 2025-01-09| ERROR| ERROR| null | 419 | 21:25| 43 | ERROR| 5 | null | Fri | ERROR| 10 | 35 | 4 | 1814 | 13 | 50 |\n| 2025-01-08| 14085| ERROR| ERROR| null | 23:46| 30 | 1 | 10 | 934 | null | 732 | 8 | 14 | 10 | null | 45 | 58 |\n| 2025-01-07| 14145| 84 | 23 | null | 22:43| ERROR| null | 2 | 995 | Sun | 653 | ERROR| 65 | 7 | 1627 | 14 | 14 |\n| 2025-01-06| 7434 | 57 | 78 | 466 | 22:27| 42 | 1 | 9 | 277 | null | 1027 | 6 | 42 | 2 | 1541 | 12 | null |\n| 2025-01-05| ERROR| ERROR| 79 | null | 22:54| 49 | ERROR| null | 402 | ERROR| 336 | 8 | 57 | 3 | null | 27 | 19 |\n| 2025-01-04| 968 | 68 | 64 | 485 | 22:40| 21 | 8 | 9 | 302 | null | 1042 | 8 | 32 | null | 1705 | 51 | 50 |\n| 2025-01-03| 2113 | 86 | 43 | 543 | 23:59| 55 | 2 | 3 | 452 | Thu | 1437 | 5 | 37 | 1 | 2269 | 38 | 48 |\n| ERROR| 4102 | ERROR| 100 | 512 | 21:54| 66 | 3 | 10 | 391 | Fri | 1149 | 5 | 27 | 3 | 1795 | 20 | 13 |\n| 2025-01-01| 14434| 35 | 25 | 452 | 21:47| null | ERROR| 8 | ERROR| Sat | 466 | 14 | 21 | 3 | 1178 | 34 | 33 |\n| 2024-12-31| 18867| 33 | 46 | 587 | 22:35| 17 | 3 | 3 | 874 | Sun | 860 | 5 | 34 | 6 | ERROR| 57 | 22 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [23:28, 52, 2609, 2025-01-23, null, 168, null, 737, 12493, 53, null, 14, 2025-01-19, 29, 52, 40, 19, Fri, 5, 69, 22:40, 2025-01-14, null, 19, 10, 1632, 1, 15200, 52, 1102, 2, 2025-01-11, 86, 47, 10759, 47, null, 1279, 22, 67, 34, 3, 7139, 32, null, Tue, 2025-01-02, 16, 1, 391, 2793]. Compute the absolute difference between the sum of column coding_minutes and column exercise_minutes, only looking at the days where the number of emails was greater than 2 and the sleep minutes was greater than 350. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:060", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 52 | 2025-01-27| 906 | 37 | 77 | 494 | 22:34| 68 | 10 | 10 | 673 | null | 379 | 2 | 27 | 10 | 2247 | 12 |\n| 51 | null | 2025-01-26| 13068| 34 | 98 | 301 | 22:43| 11 | 3 | 1 | 151 | Tue | null | 2 | null | 9 | 1075 |\n| 1472 | 16 | 24 | 2025-01-25| 16489| 35 | 14 | 432 | 22:10| 75 | 8 | 5 | 673 | Wed | 1098 | 5 | 22 | 8 |\n| 10 | 1965 | 38 | 59 | 2025-01-24| 7626 | 73 | 74 | 441 | null | 39 | 6 | 1 | 662 | Thu | 1751 | 3 | 32 |\n| 49 | null | 523 | 51 | null | 2025-01-23| null | 87 | 32 | 429 | 23:38| 16 | 2 | 1 | 121 | Fri | 997 | 4 |\n| 10 | 48 | 9 | 2186 | 19 | 10 | 2025-01-22| 9919 | 94 | null | 313 | null | 63 | 7 | 7 | 822 | Sat | 552 |\n| 1187 | 5 | 41 | 10 | 2644 | 40 | 34 | 2025-01-21| 19763| null | 14 | 519 | 22:51| 75 | 6 | 1 | 686 | Sun |\n| null | 1014 | 14 | 54 | 10 | 676 | 40 | 59 | 2025-01-20| 5624 | 84 | null | 302 | 23:48| 38 | 2 | 4 | 809 |\n| 520 | null | 1552 | 5 | null | 7 | 642 | 21 | 14 | 2025-01-19| 10625| 90 | 23 | 354 | 21:41| 62 | 4 | 2 |\n| 7 | 157 | Wed | 1223 | 2 | 62 | 10 | 2257 | 50 | 54 | 2025-01-18| 18848| 99 | 49 | 303 | 22:25| 98 | 6 |\n| 8 | 4 | 659 | Thu | 915 | 6 | 38 | 5 | 2661 | 51 | 50 | 2025-01-17| 576 | 71 | 61 | 543 | 21:14| 48 |\n| 27 | 7 | null | 745 | Fri | 985 | 7 | 39 | 1 | 1943 | 50 | 18 | 2025-01-16| 6474 | 71 | 60 | 513 | 21:40 |\n| 22:25| 99 | 5 | 6 | 311 | Sat | null | 10 | 25 | 9 | null | 49 | 48 | 2025-01-15| 13321| 99 | 48 | 439 |\n| null | 21:38| 80 | 1 | 8 | 654 | Sun | 1615 | 3 | 55 | null | 1314 | 44 | 24 | 2025-01-14| 875 | 83 | 54 |\n| 52 | 525 | 23:28| null | 8 | 2 | 852 | Mon | 1095 | 12 | 12 | 1 | null | 50 | 53 | 2025-01-13| 3465 | 50 |\n| 82 | 99 | 389 | 21:48| 96 | 6 | 3 | 105 | Tue | 545 | 8 | 9 | 2 | null | null | 25 | 2025-01-12| 14588 |\n| null | 24 | 30 | null | 22:43| 94 | 2 | 10 | 289 | Wed | 1103 | 9 | null | 7 | 1426 | 47 | 55 | 2025-01-11 |\n| 2025-01-10| 4857 | 89 | 10 | 598 | null | null | 6 | 6 | null | Thu | null | 6 | 51 | 7 | 2126 | 44 | 46 |\n| 22 | 2025-01-09| 16470| 91 | 70 | 361 | 21:57| 18 | 7 | 9 | null | null | 307 | 14 | 10 | 6 | 939 | null |\n| 12 | 53 | 2025-01-08| 18298| 39 | 71 | 335 | 23:45| 60 | 10 | 5 | 286 | Sat | 1414 | 8 | null | 5 | 507 |\n| 642 | 24 | 52 | 2025-01-07| 9061 | null | 92 | 338 | 22:13| 85 | 4 | 6 | 334 | Sun | 1313 | 2 | null | 7 |\n| 4 | 2293 | 49 | 22 | 2025-01-06| 7020 | 62 | 81 | 326 | 23:30| null | 6 | 10 | null | Mon | 624 | 2 | 40 |\n| 4 | 9 | null | 33 | 22 | 2025-01-05| 14729| 39 | 63 | 518 | 22:16| null | 6 | 3 | 577 | Tue | 1307 | 11 |\n| 3 | 2 | 2 | 1551 | null | 55 | 2025-01-04| 19227| 22 | 18 | 476 | 22:28| 34 | null | 6 | 561 | Wed | 475 |\n| 1111 | 11 | null | 7 | 508 | 59 | 29 | 2025-01-03| null | 62 | 22 | 325 | 22:44| 51 | 2 | 2 | 965 | Thu |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the mean of column sleep_minutes and column coding_minutes, only looking at the days where the exercise minutes was less than 50 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:061", "request": "I have a table with 34 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 1957 | ERROR| ERROR| 363 | 22:47| ERROR| 8 | 4 | 923 | null | 591 | 14 | ERROR| 4 | 791 | 46 | 48 |\n| 2025-01-26| 2452 | ERROR| 36 | 550 | 23:21| 20 | 7 | 5 | ERROR| Tue | 1914 | 8 | null | 9 | 2028 | 14 | 26 |\n| 2025-01-25| 8821 | 21 | 37 | 544 | ERROR| ERROR| 6 | 10 | 583 | Wed | ERROR| 9 | 2 | 8 | 965 | 33 | 50 |\n| ERROR| 2530 | 87 | 45 | 587 | 21:25| 53 | ERROR| 4 | 268 | Thu | 810 | ERROR| 10 | 7 | 2279 | 54 | 20 |\n| 2025-01-23| 7300 | 19 | 12 | 324 | 23:42| 62 | 1 | null | 936 | Fri | 1204 | null | ERROR| 1 | 1421 | 43 | 47 |\n| 2025-01-22| 6031 | 29 | 64 | 509 | 21:22| 62 | 5 | 6 | 540 | Sat | 1533 | 10 | 60 | 7 | null | 43 | null |\n| ERROR| 8884 | 19 | 81 | 570 | 21:57| 56 | 5 | ERROR| 752 | Sun | ERROR| 8 | ERROR| 10 | 1619 | 40 | 20 |\n| 2025-01-20| null | 100 | 91 | 575 | 22:49| null | 6 | 4 | ERROR| null | 1198 | 11 | 35 | 5 | 1021 | 53 | 21 |\n| 2025-01-19| ERROR| 27 | 11 | 412 | 22:41| 57 | 7 | 10 | null | Tue | null | 12 | 2 | 5 | 529 | ERROR| ERROR |\n| 2025-01-18| 15994| 51 | 74 | ERROR| 23:48| 88 | null | null | 574 | Wed | 1428 | 12 | 60 | 9 | 1557 | 60 | 49 |\n| 2025-01-17| 8965 | 70 | 62 | 326 | 21:53| 24 | 10 | 5 | 124 | Thu | 1688 | 5 | ERROR| 5 | null | null | null |\n| 2025-01-16| 677 | ERROR| 20 | 406 | 23:40| 46 | ERROR| null | 119 | Fri | 818 | 14 | 3 | 9 | 1479 | 51 | 16 |\n| 2025-01-15| 3631 | 26 | ERROR| 581 | 23:13| 42 | 5 | 9 | 807 | Sat | 1694 | null | 9 | 10 | 1674 | 13 | 37 |\n| 2025-01-14| 14276| 92 | 39 | 556 | 23:48| 63 | 1 | 1 | 536 | Sun | 812 | 9 | 5 | 2 | ERROR| 37 | 43 |\n| 2025-01-13| 14372| 20 | 57 | 494 | ERROR| 47 | 5 | 2 | 520 | null | 1531 | 1 | 29 | 3 | 724 | 55 | null |\n| 2025-01-12| 16824| 41 | 64 | 566 | 22:10| 23 | 2 | 3 | ERROR| Tue | 418 | ERROR| ERROR| 1 | null | 18 | ERROR |\n| ERROR| 14684| 68 | 90 | ERROR| 21:55| 89 | 4 | 7 | 921 | Wed | 345 | null | 18 | 4 | 1406 | 12 | null |\n| 2025-01-10| 7672 | 20 | 93 | null | 21:56| 33 | 3 | 4 | 310 | Thu | 418 | 8 | ERROR| 3 | 1051 | 13 | 52 |\n| 2025-01-09| 6117 | 17 | 46 | 437 | 22:49| 35 | 2 | 1 | 937 | Fri | null | 12 | 24 | 3 | 2125 | null | null |\n| 2025-01-08| 11664| 19 | 43 | 580 | 23:50| null | 8 | 10 | 383 | Sat | 1585 | ERROR| 2 | 2 | null | 50 | 12 |\n| 2025-01-07| 18744| null | null | 532 | 22:53| null | 1 | 6 | ERROR| Sun | null | 6 | null | 10 | 2452 | 44 | 36 |\n| 2025-01-06| 7032 | null | 97 | 391 | 22:36| 65 | 5 | 9 | 634 | null | 327 | 8 | null | 3 | 2538 | 33 | 25 |\n| 2025-01-05| 19030| 81 | 83 | 337 | 22:50| ERROR| ERROR| 6 | 519 | Tue | 512 | 12 | 11 | null | null | 27 | ERROR |\n| 2025-01-04| 17355| 13 | 45 | 460 | ERROR| ERROR| 6 | 2 | 294 | Wed | 1969 | 4 | null | null | 783 | 57 | 19 |\n| 2025-01-03| 17403| null | 35 | 396 | 23:42| ERROR| 5 | 8 | 877 | Thu | 1634 | 14 | ERROR| 4 | 1595 | 14 | 21 |\n| 2025-01-02| 17682| 63 | null | 396 | null | ERROR| 9 | 8 | 118 | null | 393 | 1 | 8 | null | ERROR| 44 | 43 |\n| 2025-01-01| 5542 | 10 | 84 | 358 | 23:55| 34 | 4 | 8 | 847 | Sat | 1606 | 14 | ERROR| 4 | 1013 | 26 | 58 |\n| 2024-12-31| null | 66 | null | 306 | 23:39| 66 | 3 | 4 | 385 | Sun | ERROR| null | 59 | 4 | 2823 | 58 | 56 |\n| ERROR| 19412| ERROR| 41 | 500 | 21:26| ERROR| 7 | 9 | 102 | Mon | 1102 | 6 | 13 | 5 | 713 | 25 | 18 |\n| 2024-12-29| 17893| 13 | 16 | 510 | ERROR| null | 3 | 8 | 875 | Tue | ERROR| 13 | ERROR| 7 | 1469 | 57 | 30 |\n| 2024-12-28| 5951 | 77 | null | 401 | 22:52| ERROR| 9 | 10 | 239 | Wed | 374 | 3 | 65 | null | ERROR| 45 | 26 |\n| 2024-12-27| 2094 | 57 | 17 | 596 | 22:58| 85 | 7 | 8 | 166 | Thu | 677 | 9 | 53 | 6 | 2384 | ERROR| 26 |\n| 2024-12-26| null | 53 | null | 465 | 22:20| 62 | 10 | 6 | ERROR| Fri | ERROR| 2 | 29 | 10 | 1748 | 14 | ERROR |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [66, 37, 84, 50, 49, 464, null, 38, 1206, 2025-01-24, 8, 10, 34, 2025-01-21, 4, 1115, 43, null, 3404, 49, 43, 564, 3, 85, 3, 69, 2007, null, 362, 6, 35, 13, 2025-01-11, 441, 44, 9, 543, 36, null, 58, null, 39, 47, null, 81, 1420, 8, 1601, 2024-12-30, 57, 60, 23:23, 1624, 6, 36, 2865, 22, 222, 1166, 27]. Compute the absolute difference between the sum of column music_listening_minutes and column sleep_minutes, only looking at the days where the phone screen time minutes was greater than 25 and the sleep minutes was greater than 350. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:063", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 15201, 26, 57, 584, 23:43, 48, 2, 3, 544, null, null, 2, 22, 9, 696, null, null, -7, 2025-01-26, 16079, 64, 34, 507, null, 46, null, 8, null, Tue, 459, 9, 60, 8, 846, 43, 39, -1, -9, 2025-01-25, null, null, 75, 430, null, 92, 8, 1, 341, Wed, 1911, 8, 63, 6, 1956, 49, 40, 2, 4, -2, 2025-01-24, 9985, 99, null, 581, null, 46, 7, 7, 271, Thu, 1622, 12, 28, 8, 2319, null, 28, 7, -2, -4, 1, 2025-01-23, 6948, 52, 70, 529, 22:53, 90, null, null, 285, Fri, 682, 11, 5, 1, 1469, 30, 13, 7, 4, 3, -2, 4, 2025-01-22, 12477, 69, 27, 344, 22:17, 36, 9, 6, 386, Sat, 628, 2, 5, 5, 1578, null, 40, -5, 7, -5, -7, 4, 10, 2025-01-21, 12105, 71, null, 363, null, 38, 3, 3, 733, Sun, 1542, 10, 17, 3, 2057, null, 47, 10, -7, 5, -2, 6, 0, 10, 2025-01-20, 13470, 99, 64, 388, 21:43, 93, 8, 7, 207, Mon, 1850, 6, 27, 3, 1793, 18, 13, 9, 2, -5, 9, 10, -9, 1, -4, 2025-01-19, 8183, 47, 37, 348, 23:20, 47, 5, 1, 615, Tue, 353, 9, 12, null, 2164, 25, 49, -2, -9, 2, 4, 8, 2, -6, 1, 1, 2025-01-18, 5812, 37, 59, 388, 21:10, 55, 1, 5, 443, Wed, 343, 9, 14, 2, 732, 41, 13, -8, 7, -10, -3, 5, 3, 4, -7, -3, -7, 2025-01-17, 9651, 36, 65, 352, 23:58, null, 1, 8, 476, Thu, 1243, 14, 37, 7, 944, 25, 56, 0, -7, -1, 3, -6, 4, -5, -4, 1, -2, -8, 2025-01-16, 7578, 97, 63, 552, 22:58, 39, 5, 7, 421, Fri, 847, 11, 38, null, 554, 58, 54, -6, 6, 2, -2, 10, -3, -3, -7, -10, -1, -5, -8, 2025-01-15, 14248, null, 61, 379, null, 72, null, 4, 535, Sat, 449, 15, 3, 4, 705, 20, 23, 10, -1, 7, -7, -6, 7, -10, -8, -3, -2, -10, 4, 7, 2025-01-14, 18413, 72, 22, 385, 22:47, 76, 9, 6, 844, Sun, null, 1, 4, 5, null, null, 44, -8, 2, 0, -9, 5, 7, 5, 5, 4, 2, 1, 10, -7, 4, 2025-01-13, 10230, 50, 19, 442, 22:57, 45, 3, 4, 901, Mon, 811, 11, 44, 7, 2124, 37, 27, -9, 5, -9, -10, -3, 0, -2, -1, 2, 9, 10, -5, -6, 4, -6, 2025-01-12, 6306, 19, 10, 426, 23:30, 44, 4, 3, 667, Tue, 1265, 7, 44, 6, null, null, null, 4, 0, 2, 5, -8, 6, 2, 6, 1, -8, 2, 2, 0, -1, -7, -6, 2025-01-11, 1044, 85, 61, 480, 23:38, 45, 8, 7, 175, Wed, 551, 8, 49, 6, 836, 17, 17, -4, 0, -1, 8, -6, -8, 1, 0, 4, 5, 2, -8, -5, -9, 4, -5, -5, 2025-01-10, 274, 54, 87, 337, 21:53, 25, 7, 10, 768, Thu, 946, 11, 10, null, 1379, 19, null, 6, 9, -6, -9, 4, -4, 2, -2, 8, -10, 4, -7, -4, -10, 6, -1, 10, 9, 2025-01-09, 14847, 48, null, 311, 23:56, 84, 10, 5, 316, Fri, 1960, 10, 52, 7, 1460, null, 10, 5, 2, 5, -9, -3, 1, 9, 3, 9, 8, 4, -5, -4, -4, 4, -4, 8, 0, 3, 2025-01-08, 14631, 28, null, 553, 22:22, 54, 9, 4, 845, Sat, 622, 2, 30, null, 1036, 20, 38, 8, 6, 7, 4, 9, -8, 10, 1, 10, 7, -6, 10, -7, -2, -1, -2, 6, 7, 10, 2, 2025-01-07, 5400, 90, 44, 539, 23:43, null, 8, 3, 666, Sun, 1850, 11, null, 4, 1764, 34, 11, 9, 9, -10, -9, 10, -8, -10, -4, -5, 10, -2, -1, -6, 10, -1, 10, -9, -2, -3, -4, -10, 2025-01-06, 2818, 38, 39, 493, 23:30, 72, 10, 10, 758, null, 1408, null, null, 1, 2382, 38, 38, 7, -9, -6, -4, 6, 7, 9, 1, 9, 1, -10, -3, -1, -5, 5, 6, 10, 10, 9, -7, -7, -2, 2025-01-05, 10437, 49, null, 430, 22:34, 11, 4, 6, 708, Tue, null, 13, 44, 5, 515, 56, null, -3, 1, 10, -5, -8, 3, 9, 8, -5, 6, 5, 3, -7, 9, 1, -5, 5, 9, -3, 9, 9, 0, 4, 2025-01-04, 10024, 85, 17, 481, 23:27, 19, 3, 3, 327, Wed, 1833, 14, null, 8, 2319, 27, 44, 2, 6, 2, 7, -8, 0, 3, -5, -4, 10, -10, -4, -2, -8, 6, -2, -5, -8, 10, 10, 2, -6, -7, 4, 2025-01-03, 2890, 41, 23, 365, 21:29, 30, 2, 5, 522, Thu, 308, 15, 54, 8, 2880, 58, 39, -5, 9, 10, 7, 10, -7, -2, -3, -9, -8, 6, -6, 9, -8, 6, 9, -3, -8, -3, 1, 9, -4, 7, -7, 4, 2025-01-02, 2437, null, 56, 587, 22:47, 86, 2, 3, 379, Fri, 1087, 14, 6, 1, 2427, 38, 28, -4, -4, -4, 6, -7, 7, -9, 10, -10, -5, -6, 4, -5, 4, 7, -4, 2, 9, -1, 2, -6, -10, 10, 7, 7, 7, 2025-01-01, 4373, 78, 85, 576, 22:47, 29, 6, 7, 168, Sat, 489, 14, 1, 6, 1677, 35, 32, 8, 0, -1, 6, 6, 9, 3, -2, 7, 7, -4, 7, -4, -2, 6, -3, -6, 1, 5, -10, 0, 2, -3, -6, 1, 2, -3, 2024-12-31, 1494, 38, 55, 415, 21:49, 62, 3, 2, 140, Sun, 1379, 10, 51, 7, 3000, 12, 18, 7, 2, -4, -7, 9, -6, 3, -7, 2, -6, 10, -2, -5, -2, -1, 8, 9, -1, 10, -7, -10, -3, -6, -9, 0, -2, -4, 6, 2024-12-30, 14124, null, null, 586, 23:40, 72, 1, 5, 302, null, 1715, 13, 13, 2, 2749, 49, 47, 6, -6, -3, -9, 9, 4, -10, -2, 7, 2, -9, -5, 6, 2, 7, 4, 8, 8, 9, 10, -2, 5, -10, -9, 7, 6, -5, 5, -6, 2024-12-29, 12634, 92, 69, 537, null, 55, 4, 1, 515, Tue, 777, 9, 42, null, 2570, 56, 39, -4, 7, 2, 7, -2, -4, 8, 8, 8, 7, 7, 9, 4, 8, 2, 3, -6, 6, -9, -4, 4, 10, -7, -5, 7, 0, -3, -1, 7, 1, 2024-12-28, null, 53, 59, 443, 21:58, 98, null, 3, null, Wed, 1475, 14, null, 8, 2528, 36, 45, 6, 5, 2, 1, 10, -9, -4, -3, -8, 1, 10, -10, 6, -9, -1, 3, 4, -4, -1, 2, -8, -6, -8, 0, 1, -6, 4, -10, 6, -1, -2].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the median of column sleep_minutes and column phone_screen_time_minutes, only looking at the days where the sleep minutes was greater than 350 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:064", "request": "I have a table with 28 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, num_steps, 2370, 15290, 10186, 7571, 8675, 11977, 15036, 16864, 13173, 7488, 15349, 8163, 19359, 15944, 4449, 13459, null, 9126, 15751, null, 14592, 1145, 16782, 4632, 4537, 15671, 15877, 1, study_minutes, 65, 62, 23, 37, 35, null, 68, 61, 39, 52, 66, 87, 87, null, 74, 76, 67, 50, 76, 23, null, null, 55, null, 74, 54, 49, 3, 4, exercise_minutes, 42, 80, 38, 25, 60, 47, 20, 76, null, 75, 67, 40, 13, 30, 95, 43, 72, null, 21, 87, 72, 64, 48, 24, 97, 86, 68, 0, 7, 8, sleep_minutes, 590, 585, 576, 332, 352, 419, 339, 436, null, 464, 461, 536, 534, 356, 361, 349, 418, 482, 572, 556, 473, 327, 416, 333, 489, null, 485, 2, 10, 6, 3, bed_time, 23:33, null, 21:24, 23:59, 22:29, 23:37, 21:25, 22:56, 22:27, 22:57, null, 21:47, 22:12, null, 22:41, 21:42, 23:32, null, 21:45, 21:36, 23:48, 22:12, null, 23:30, 22:31, 23:27, null, -7, 7, -2, 2, 7, num_messages, 63, null, 92, 16, 65, 60, 89, null, 36, 78, 34, 11, 49, 89, 92, 14, 54, 32, 100, 89, 11, 79, 85, 54, 16, 15, 10, 1, 7, -6, 7, 6, -2, num_emails, 5, 4, 2, 2, 1, 7, 5, 6, null, 5, null, 2, 10, 5, 1, 5, 7, 10, 3, 4, 7, 10, 5, 10, 8, 1, 4, 3, -1, 6, -4, -10, -2, -1, num_calls, 3, 8, 2, 8, 5, 4, 1, 10, null, null, 4, 3, 7, 2, 5, 5, 7, 1, 6, 8, 8, 4, 10, null, 4, 1, 8, 0, -3, 10, -2, -8, -5, -3, 2, calories_burned, 504, 397, 596, 295, 141, 672, 292, 249, 359, 785, 498, 968, 521, 546, 495, 861, 918, 485, 118, null, 395, 230, 989, 711, 169, 868, 530, 6, 6, 6, 4, -6, 8, -3, -2, 6, weekday, null, Tue, null, null, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, null, Fri, null, Sun, null, Tue, Wed, Thu, null, Sat, -8, -2, -3, -7, -9, -9, 5, 1, 5, 7, calories_consumed, 1803, 1136, 967, 667, 566, 1865, 1613, 1414, 1323, 1874, 1073, 1559, 1392, 959, 894, 1424, 1815, null, 635, 1588, 709, null, 1926, null, 621, 582, 336, -2, 8, -5, -10, 7, 7, -4, -2, 6, 6, 2, num_meetings, 6, 3, 5, 14, 2, 12, null, 12, 7, 4, 6, 6, 14, 5, 13, null, 4, 14, 4, 9, 15, 3, 3, 6, 15, 12, 3, 7, -10, -4, -2, 5, -6, -1, -7, -1, 5, 6, 5, coding_minutes, 17, 18, 41, 49, 54, 14, 44, 55, null, 38, 32, 31, 44, 24, 41, 34, 40, 25, 53, 16, 16, 37, 4, 40, 39, null, 21, -3, 0, -7, 4, 10, 4, -8, -4, -8, -9, 2, -2, 1, num_tasks_completed, 1, 8, null, 3, 2, 10, 5, 1, 6, 9, 1, 6, 2, 3, 6, 7, 3, null, 8, null, 9, null, null, 5, 5, 2, 5, 10, 7, 2, -1, 2, -1, 2, 6, -7, -2, -6, 7, 7, -2, water_intake_ml, 2163, 1532, 1126, 2776, 2240, null, 2140, 2372, 656, 1930, 712, 921, 1993, null, 580, 2729, 913, 1985, 666, 596, 1489, 2155, 1691, 922, 1087, 1070, 1020, 9, 2, -8, -1, 0, 7, -8, 1, 0, 4, -5, 5, 4, -8, -7, phone_screen_time_minutes, 14, 42, 49, 22, 26, 31, 32, 34, 23, 16, 25, 22, 48, 30, 36, 50, 14, 46, 43, 32, 57, 17, 52, 44, 46, 56, 30, -2, -6, -2, 6, 4, -6, -2, 4, -8, 0, 0, -3, -6, -3, 0, -8, music_listening_minutes, null, 20, 21, 33, 48, 51, 18, 31, 52, 36, 27, 21, 25, 42, 54, 22, 46, 12, 16, 18, null, 54, 60, null, 60, 14, 16, -9, 2, -8, 9, 9, 3, -2, -1, 5, -4, -2, 4, -5, 9, -4, 5, -5].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the mean of column sleep_minutes and column phone_screen_time_minutes, only looking at the days where the bed time was between 22:00 and 22:59 (inclusive) and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:065", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ERROR| ERROR| 37 | 15 | 575 | 22:54| ERROR| 2 | 3 | 503 | Mon | null | 1 | 3 | 9 | 2208 | 32 | 48 |\n| 2025-01-26| 4921 | 90 | ERROR| 379 | ERROR| 78 | 2 | 1 | null | Tue | null | 9 | 14 | 9 | 1271 | 20 | 10 |\n| 2025-01-25| 1185 | 22 | 49 | 591 | 22:16| 41 | 5 | 1 | 317 | Wed | 633 | 3 | 41 | ERROR| 2756 | 52 | 19 |\n| 2025-01-24| 17038| 75 | 91 | 525 | 22:12| null | 5 | null | 791 | Thu | 1640 | 5 | ERROR| null | 2070 | ERROR| ERROR |\n| 2025-01-23| 14035| 67 | 12 | 472 | ERROR| 47 | 5 | ERROR| 867 | Fri | 1592 | 1 | null | null | 2786 | 47 | 29 |\n| 2025-01-22| 8840 | 92 | null | 366 | 22:10| 23 | ERROR| 4 | 930 | Sat | 362 | 12 | ERROR| 2 | 1421 | 12 | 42 |\n| 2025-01-21| 18145| 78 | 84 | 337 | 22:44| 91 | 8 | 4 | 304 | Sun | 427 | 11 | 43 | 6 | 2927 | 38 | 24 |\n| 2025-01-20| 1124 | 72 | 70 | 396 | 23:37| 52 | 10 | 3 | 395 | Mon | 652 | ERROR| null | 4 | 2723 | 16 | ERROR |\n| 2025-01-19| ERROR| 59 | 36 | ERROR| 21:30| 35 | 6 | 4 | 982 | Tue | 1308 | ERROR| 28 | 1 | null | 45 | 29 |\n| 2025-01-18| 3835 | 35 | 70 | 526 | 22:40| 12 | 6 | 10 | null | Wed | 1817 | null | ERROR| 2 | 2887 | null | 15 |\n| 2025-01-17| 19779| 97 | 31 | 303 | 23:58| 85 | 10 | 1 | 732 | Thu | 832 | ERROR| 40 | 5 | 2692 | 59 | 43 |\n| 2025-01-16| 1396 | 77 | ERROR| 441 | null | 21 | 7 | 2 | 434 | Fri | ERROR| 4 | 12 | 1 | 1711 | null | null |\n| ERROR| 14964| 51 | 48 | 355 | 23:29| null | 3 | 9 | null | ERROR| 1171 | 4 | null | 6 | 1040 | 32 | ERROR |\n| 2025-01-14| 15452| 94 | 18 | 407 | 22:31| 21 | 4 | null | null | Sun | 951 | ERROR| 2 | 1 | 2132 | 24 | 33 |\n| 2025-01-13| 18909| null | 55 | 541 | 22:38| ERROR| 7 | 4 | 479 | null | 1300 | null | 23 | ERROR| 2716 | 22 | 55 |\n| 2025-01-12| 15999| ERROR| 95 | null | 21:19| null | 10 | 1 | 673 | Tue | 1778 | 12 | 60 | 2 | 2415 | 25 | ERROR |\n| 2025-01-11| ERROR| 26 | 20 | null | 21:18| null | 6 | ERROR| 131 | Wed | null | 6 | 11 | 3 | 1483 | ERROR| 54 |\n| 2025-01-10| 19797| 84 | 73 | null | 23:31| 99 | 7 | 8 | null | Thu | 1661 | 3 | ERROR| 5 | 1215 | 57 | ERROR |\n| 2025-01-09| ERROR| 56 | 75 | 591 | 21:46| ERROR| 9 | 9 | 563 | Fri | 1167 | null | 29 | 2 | 2240 | null | 12 |\n| 2025-01-08| 13727| 97 | 20 | 513 | 22:24| 55 | 10 | 2 | 185 | Sat | 1578 | 11 | ERROR| 7 | 794 | 50 | 53 |\n| 2025-01-07| 9718 | 20 | 99 | 528 | 23:41| 88 | 10 | 10 | 179 | ERROR| 670 | 15 | 40 | 7 | 907 | 54 | 31 |\n| 2025-01-06| ERROR| null | 65 | 432 | 22:47| 38 | 7 | 3 | null | null | 444 | 2 | 0 | 7 | 1229 | 44 | null |\n| 2025-01-05| 6304 | 18 | 94 | null | 23:30| 35 | 7 | 6 | 465 | Tue | 618 | 7 | 17 | 2 | 672 | 28 | 21 |\n| 2025-01-04| ERROR| 77 | 13 | 392 | 22:33| 61 | 6 | 1 | 526 | ERROR| 453 | 15 | 15 | null | 2856 | 11 | 53 |\n| ERROR| ERROR| 15 | null | 569 | 21:48| 59 | 5 | 8 | 128 | Thu | 1754 | 14 | 58 | 2 | ERROR| 37 | ERROR |\n| 2025-01-02| 3295 | 40 | 37 | 345 | 22:54| 74 | ERROR| 7 | null | Fri | 1522 | 9 | 36 | null | 2906 | 55 | 27 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [2025-01-27, 500, 12, 41, 21:10, 10, 10, 49, null, 22:50, 7, null, 12, 4, 26, 16746, 502, null, null, 3, 84, 660, 2025-01-15, Sat, 40, 7, 10, 7, 63, 17, 16997, 5, 42, 30, 54, 13950, 74, 0, Sun, 3061, 3218, Wed, 2025-01-03, 9570, 1243, 32, 9]. Compute the absolute difference between the median of column music_listening_minutes and column exercise_minutes, only looking at the days where the coding minutes was greater than 20 and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:068", "request": "I have a table with 29 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, num_steps, 3416, 2271, 4296, 13087, 1947, 8769, 7432, 17738, 12994, 10822, 3809, 12192, 14009, 17998, 820, 3614, 7049, 10186, 17771, 8133, 9276, 1892, null, 6697, 12360, null, 3819, 18246, -3, study_minutes, 27, 73, 97, 40, 26, 40, null, 60, 100, 24, 34, 61, 48, 75, 40, 65, 79, 73, 24, 46, 65, 21, 70, 19, 82, 33, null, 18, -7, 1, exercise_minutes, 10, 54, 49, 38, 52, 79, 46, 15, 21, 32, 80, 54, 90, 12, 48, 60, 67, 93, 89, 33, null, 96, 61, 60, 60, 60, 45, 27, 10, 1, -5, sleep_minutes, 498, 416, 587, 568, null, 366, 508, 323, 559, 466, 589, 355, 420, 340, 569, null, null, null, 527, 375, null, 366, 538, 565, 593, 466, 515, 588, -1, 9, -3, -5, bed_time, 22:51, 21:47, 23:38, 21:31, 22:15, 23:33, 21:28, 21:46, 21:54, 23:41, 21:13, 22:38, null, 22:23, 23:49, 22:37, null, 21:51, 21:58, 22:21, 23:19, 22:45, 21:25, 22:12, 21:20, 23:29, 21:32, 22:50, 2, 5, 2, 7, 3, num_messages, 72, 48, 75, 78, null, 76, 45, null, 26, null, null, 22, 69, 16, 84, null, 96, 86, null, null, 47, 89, 81, 72, 41, null, 10, 48, -2, -3, -1, 1, -3, -7, num_emails, 2, 7, null, 6, 5, 2, 5, 5, 10, 6, 3, 8, 3, 7, 3, 8, 1, 5, 9, 10, 7, 3, 3, 9, 9, 9, 8, 1, 9, -3, 7, 6, 1, -6, 8, num_calls, 10, 5, 5, 7, 5, 7, 4, 7, 4, 7, null, 3, 9, 7, 9, 5, 1, 9, 3, 7, 5, 5, 5, 5, null, 2, 6, 8, -4, -3, -10, 4, -2, -4, 9, 9, calories_burned, 620, 174, 686, null, 896, 316, 665, null, 852, 604, 564, 351, 215, 716, 322, 913, 138, 976, 665, 293, 237, 556, 158, 447, 887, 285, 323, 651, -10, 7, -1, -1, -2, 3, 0, -7, -10, weekday, Mon, null, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, null, Sun, null, Tue, Wed, Thu, Fri, Sat, Sun, 7, 9, 0, -4, -1, 7, -4, 8, 6, -7, calories_consumed, 545, 1134, 919, 1915, null, 669, null, 1781, null, 1133, null, 1483, 1625, 1182, 1705, 559, null, 809, 1281, 801, 1308, 1631, 1545, 1722, 1645, 788, 1626, 1655, -4, 9, -1, -2, -5, -7, -6, -6, 9, -1, -6, num_meetings, 5, 3, 12, 12, 3, 8, 13, 5, 4, 4, 15, 4, 8, 10, 14, 6, 6, 12, 2, 5, 8, 2, null, null, 11, 6, 5, 3, 2, -2, -3, 2, 1, -3, 4, -9, 2, 9, -1, 9, coding_minutes, 48, 23, 53, 8, 10, 49, 53, 40, 25, 57, 5, null, 11, null, 40, 0, 22, 0, 64, 23, 59, 30, 11, 24, 3, 46, 20, 0, 5, 9, -9, 10, 3, 2, -8, -8, -1, -9, -9, 9, 6, num_tasks_completed, 8, 8, 4, 2, 4, 5, 5, 1, 5, 3, null, 2, 2, 2, 3, 1, 10, null, 2, 2, 5, 3, 8, 5, null, 7, 3, 8, 10, -1, 1, 3, 3, 2, -7, 10, -8, 4, -7, 3, 8, -1, water_intake_ml, 2778, 2399, 1341, 1514, 1707, null, 1124, 2544, 1498, 823, 1893, null, 1699, 2872, 2750, 1355, null, 1872, 1659, 2138, 1644, 2705, 2803, 573, 2674, 2587, 1090, 2796, -4, 10, -9, -1, -7, -6, 8, -1, 6, 3, -9, 7, -10, 8, 5, phone_screen_time_minutes, 31, 28, 10, 30, null, 38, 13, 56, 55, 42, null, 15, 43, null, 39, 36, 56, null, 19, 25, 20, 17, 51, 26, 31, 49, 51, 45, -10, -6, -9, -6, 1, -3, -10, 2, 3, -7, -9, 9, 1, -10, -8, 7, music_listening_minutes, 51, 20, 35, 40, 19, 57, 17, 37, 34, 45, null, 21, 54, 42, 18, 32, null, 14, 21, 21, null, 19, 13, 31, 34, 20, 37, 41, 2, -3, -10, 3, 10, 1, -6, -5, 2, 10, -9, -1, -5, 8, -4, -8, 5].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the mean of column coding_minutes and column sleep_minutes, only looking at the days where the study minutes was greater than 20 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:072", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 4632 | 31 | 14 | 575 | ERROR| 80 | 1 | null | 745 | null | 825 | 13 | ERROR| 4 | 2417 | 43 | 15 |\n| 2025-01-26| 8790 | 28 | 74 | 332 | 21:51| ERROR| 6 | 4 | ERROR| Tue | 1115 | 15 | 60 | 8 | null | 35 | 50 |\n| ERROR| 10713| 24 | null | 486 | 22:10| 14 | 8 | 5 | 293 | Wed | null | 15 | 30 | null | 2785 | 43 | null |\n| 2025-01-24| 18296| 21 | ERROR| 585 | 22:43| 11 | 2 | 5 | 998 | Thu | 314 | 11 | 65 | 1 | 2617 | 21 | 51 |\n| 2025-01-23| 1778 | 34 | 53 | 336 | null | 36 | ERROR| 10 | null | Fri | 1129 | 15 | 42 | 7 | 2880 | 55 | 52 |\n| 2025-01-22| ERROR| 61 | 91 | 484 | 21:43| null | 1 | 8 | 684 | Sat | 1529 | 9 | 50 | 2 | null | 45 | 22 |\n| 2025-01-21| 372 | 21 | 23 | 317 | 22:27| ERROR| 4 | 9 | 585 | Sun | 557 | 6 | ERROR| 8 | 1568 | 41 | 44 |\n| 2025-01-20| 12896| 98 | 75 | 546 | 23:46| null | 3 | 5 | ERROR| ERROR| 1126 | 8 | 33 | 2 | 2443 | 13 | 47 |\n| 2025-01-19| 9075 | 24 | 97 | 594 | 21:46| ERROR| 8 | 3 | null | ERROR| 1994 | 5 | 38 | 5 | 2564 | 29 | 38 |\n| 2025-01-18| 1035 | 46 | 10 | 526 | 21:10| 93 | 9 | 6 | 361 | Wed | 1051 | 4 | 61 | 2 | 1037 | ERROR| 55 |\n| 2025-01-17| 10494| 20 | 32 | 328 | 21:54| 46 | 6 | 1 | 999 | Thu | null | 4 | null | 5 | 1523 | 33 | 44 |\n| ERROR| 14283| 87 | null | 340 | 21:29| 88 | 9 | 2 | 797 | Fri | 659 | 3 | 40 | 6 | 1344 | 49 | null |\n| 2025-01-15| 6710 | ERROR| null | 424 | 23:32| 30 | 6 | 6 | 806 | ERROR| 495 | 15 | 26 | 4 | 2674 | ERROR| 40 |\n| ERROR| 11324| 69 | 69 | 554 | 23:50| 48 | ERROR| 10 | 618 | Sun | null | 11 | null | null | 587 | 10 | 47 |\n| 2025-01-13| 2577 | 61 | null | 321 | 21:34| 35 | 8 | 10 | 324 | null | 1026 | 3 | ERROR| 9 | ERROR| 22 | 49 |\n| 2025-01-12| 10437| 33 | null | ERROR| 21:13| 63 | 9 | 8 | 781 | Tue | 1161 | 6 | 22 | 6 | 1950 | ERROR| 11 |\n| 2025-01-11| 13279| 66 | 74 | 553 | ERROR| 79 | 6 | 6 | 123 | Wed | 405 | ERROR| 21 | 4 | null | 30 | null |\n| 2025-01-10| 19323| 62 | 28 | ERROR| 23:31| 28 | 10 | null | 712 | Thu | 331 | 6 | 43 | 8 | 1654 | 28 | 49 |\n| ERROR| 14412| 63 | null | 330 | ERROR| 42 | 3 | 2 | 656 | Fri | 1888 | 10 | ERROR| null | 2660 | 51 | 13 |\n| ERROR| 11002| 64 | 61 | 482 | 22:17| 51 | null | 2 | 483 | Sat | ERROR| ERROR| null | 1 | 1489 | 22 | 29 |\n| ERROR| 11115| 22 | 44 | 520 | 21:36| 42 | 4 | 7 | 464 | Sun | null | 15 | 38 | null | 842 | 34 | null |\n| 2025-01-06| 8689 | 86 | 61 | ERROR| null | 13 | 6 | 10 | 785 | ERROR| 1032 | 8 | ERROR| 10 | ERROR| 36 | 34 |\n| 2025-01-05| 18165| ERROR| ERROR| 433 | 23:24| 79 | 7 | 1 | 713 | Tue | 1835 | 14 | 43 | ERROR| 915 | 12 | null |\n| ERROR| 14326| 71 | 80 | null | null | ERROR| 5 | 3 | 141 | Wed | 1390 | 2 | 9 | 7 | 2735 | null | 16 |\n| ERROR| 15049| 50 | 40 | ERROR| 23:20| 64 | null | ERROR| 210 | Thu | 1688 | ERROR| 57 | 5 | 1990 | 17 | 34 |\n| 2025-01-02| 13292| 61 | 10 | 406 | null | null | 4 | 9 | 659 | Fri | 1332 | 5 | 47 | 2 | 2526 | ERROR| 16 |\n| 2025-01-01| 18311| 22 | null | 386 | 22:14| 74 | 7 | 10 | null | Sat | 1079 | 13 | 9 | 1 | 765 | null | null |\n| 2024-12-31| 9477 | null | 31 | 498 | null | 45 | 6 | ERROR| null | ERROR| 1653 | 2 | 4 | 9 | 2222 | 22 | 58 |\n| ERROR| 10314| 81 | 100 | 471 | 21:33| 74 | 10 | 9 | 188 | ERROR| 1048 | 8 | 48 | 6 | 1951 | 27 | 30 |\n| 2024-12-29| ERROR| ERROR| 24 | 516 | 21:40| 33 | 2 | 8 | 753 | Tue | 464 | 4 | null | 4 | 1546 | 56 | 40 |\n| 2024-12-28| 15118| null | 43 | ERROR| 23:22| 10 | ERROR| 1 | 832 | Wed | 1423 | ERROR| 2 | null | 746 | 39 | 60 |\n| 2024-12-27| 12918| 59 | 55 | ERROR| null | ERROR| 5 | null | null | ERROR| 1367 | 1 | 27 | 8 | 2567 | 13 | 53 |\n| 2024-12-26| 12977| 89 | 97 | 590 | 21:14| 28 | 2 | 4 | 917 | Fri | 1543 | 3 | null | 9 | 799 | 38 | ERROR |\n| 2024-12-25| 7965 | 92 | 83 | 564 | 21:59| 80 | 6 | 8 | 904 | null | 498 | 14 | 9 | 2 | 2566 | 57 | 44 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [23:16, 48, 19, 639, 2025-01-25, 63, 4, 13858, 29, 14, 120, Mon, 34, Tue, 43, 2025-01-16, 72, Sat, 47, 2025-01-14, null, 48, 994, 301, 51, 21:58, 4, 551, 2025-01-09, 22:15, 44, 2025-01-08, 313, 12, 2025-01-07, 368, null, null, 2937, null, 83, 6, 2025-01-04, 33, 2025-01-03, 376, 2, 8, 53, 2, Sun, 2024-12-30, null, 5661, 33, 470, 2, 12, 595, 44, Thu, 13]. Compute the absolute difference between the stdev of column music_listening_minutes and column study_minutes, only looking at the days where the number of calories burned was less than 800 and the weekday is Monday. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:073", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 14305, 863, null, 9756, 19818, 13225, 3948, 7404, 14809, 18040, 4424, 15360, 2521, 6420, null, 2369, 17408, 6507, 17821, 13645, 4218, 15368, 16541, null, 6827, -8, study_minutes, 41, 75, null, 75, 74, 43, 16, 13, 39, 43, 48, 18, 66, null, 29, 58, 12, null, 47, 76, 78, 62, 81, 72, 71, -2, 1, exercise_minutes, 59, 51, 43, 62, 30, 20, null, 25, 78, 89, 81, 53, 34, 27, 44, 50, 83, 65, 20, null, 84, 40, null, 41, 11, -4, -5, 9, sleep_minutes, 576, null, 300, 353, 501, 469, 359, 332, 361, 522, 379, null, 599, 531, 309, 310, 512, null, 532, 327, 448, 532, 563, 572, 348, -2, 2, 2, -9, bed_time, 21:40, null, 23:33, 23:42, 21:20, 22:53, 22:10, 23:17, 23:52, null, 22:22, 21:16, 21:16, 22:47, null, 23:26, 22:48, 22:47, 21:19, null, 23:48, 21:32, 21:52, 22:14, 23:23, -2, -6, -3, -1, -4, num_messages, 18, 54, 51, 62, 71, 95, 11, 74, 39, 46, 69, 12, 98, 89, 59, 29, 77, 87, null, 41, 44, 21, 20, 51, 26, -4, -1, -5, 1, -10, -5, num_emails, 1, 10, 10, 4, 10, 1, 5, 1, 2, 7, null, 4, 4, null, 6, 2, 10, 2, 6, 10, null, 2, 8, 5, 5, 10, 0, 9, -10, -1, 7, -3, num_calls, null, 3, 10, 9, 9, 10, 4, 6, 5, 3, 7, 7, 1, 4, 1, 4, 2, 5, 1, 2, 1, 10, 8, 9, 10, 3, 5, 10, 3, 1, 7, 5, -3, calories_burned, 545, 888, 803, 282, 959, 644, 762, 966, 113, 566, null, null, 476, 312, 423, 994, 776, 271, 551, 283, 983, 442, 998, null, 894, 6, -4, -10, 7, 9, 1, 2, 0, 2, weekday, null, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, null, Thu, Fri, Sat, Sun, null, null, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, 2, 3, 8, 1, 5, 2, -10, -9, 8, 5, calories_consumed, 1956, 398, 1372, 1503, 1097, 1444, null, 1858, 1982, 1116, 578, 1289, 1757, 1471, 1190, 939, 1802, 1945, 1241, null, 1776, 1121, 440, 561, 1479, 1, -9, -3, -3, 6, -5, -5, -4, 5, -2, 6, num_meetings, 9, 15, null, 12, 5, 6, 15, 5, 9, 4, 5, 9, 15, 10, 11, 14, 8, 2, 2, 5, 5, 14, 7, 11, 8, -5, 7, 6, -10, -6, 5, 7, 1, -10, -9, 5, 9, coding_minutes, 17, 24, 29, 53, 42, 57, 51, 56, 59, null, 0, 52, 40, 54, null, null, 50, null, 11, 0, 61, 30, 3, null, 7, 10, -10, -9, -7, 6, 6, -9, 2, 2, 1, 10, -4, -1, num_tasks_completed, 5, null, null, null, 8, 9, 10, 9, 4, 1, 5, 9, 8, 8, 6, 5, 5, 5, 7, 9, 8, 4, 7, 10, null, 6, -1, 9, -8, 3, 9, 2, 8, -8, -1, 7, 10, -2, 0, water_intake_ml, 2623, 1644, null, 2007, 2590, 2304, 2765, 736, 2128, 1138, 1725, 906, 1116, 2184, 2285, 2143, 800, 1799, 503, 1463, 1210, 2622, 1663, 1154, 1935, -3, 5, -6, -9, 10, 4, -6, 9, -3, 2, -2, 8, -8, -9, 7, phone_screen_time_minutes, 60, 21, null, 31, 39, 29, 54, 39, 15, 33, 52, 43, 59, 48, 18, 44, 38, 31, 37, 50, 19, 46, null, 11, 52, -9, 10, 4, 5, -6, -8, 2, -2, 1, -10, 4, -1, 8, -3, -4, 6, music_listening_minutes, 51, 19, 12, null, 20, 29, 29, 49, 11, 37, 29, null, 48, 14, 40, 36, 37, 46, 52, 57, 58, 55, 53, 20, 10, 10, -4, -2, -5, -4, -3, 5, -4, -3, -8, 8, 9, -3, -4, -6, 2, 2].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the stdev of column exercise_minutes and column study_minutes, only looking at the days where the number of emails was greater than 2 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:074", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 39 | 2025-01-27| null | 54 | 55 | 562 | null | 95 | 4 | 7 | 160 | null | 1969 | 14 | 6 | null | 2672 | 60 |\n| null | 34 | 2025-01-26| 11758| null | 73 | 580 | 21:18| 99 | null | 3 | 548 | null | 859 | 13 | 50 | 10 | 2787 |\n| 1299 | 44 | 22 | 2025-01-25| 18200| 85 | 53 | 530 | 23:44| 91 | 8 | 6 | 774 | Wed | 762 | 10 | null | 4 |\n| 3 | 1856 | 12 | 17 | 2025-01-24| 9072 | 47 | 91 | 589 | 21:35| null | 6 | 6 | 524 | Thu | 1587 | 11 | 12 |\n| 45 | 10 | 2792 | 55 | 31 | 2025-01-23| 893 | 83 | 90 | 381 | 23:58| 88 | 4 | 8 | 172 | Fri | 1519 | 13 |\n| 1 | 14 | null | 2064 | 43 | 52 | 2025-01-22| 8733 | 73 | 39 | 561 | 22:11| 66 | 2 | 3 | 676 | Sat | null |\n| 1227 | 7 | 11 | 2 | 1503 | 20 | 25 | 2025-01-21| null | 45 | 83 | null | 22:26| null | 4 | 9 | null | Sun |\n| Mon | 1945 | 15 | 13 | 9 | 2673 | 47 | 45 | 2025-01-20| 15332| 98 | 68 | null | 23:18| null | 2 | 1 | 921 |\n| 497 | Tue | 1458 | 11 | 20 | 1 | 2629 | 46 | 44 | 2025-01-19| 5553 | 64 | 34 | 459 | 21:48| 15 | 9 | 1 |\n| 1 | 244 | null | 1232 | 1 | null | 1 | 2159 | 11 | 23 | 2025-01-18| 5304 | 37 | 41 | 590 | 21:33| null | 7 |\n| 10 | 6 | 975 | Thu | 743 | 2 | null | 3 | 2723 | null | 42 | 2025-01-17| 8178 | 91 | 26 | 529 | 21:31| 38 |\n| 71 | null | 2 | null | Fri | 616 | 15 | 25 | null | 2290 | 12 | 12 | 2025-01-16| 16488| 52 | 48 | 368 | 22:23 |\n| 22:38| 88 | 2 | 1 | 292 | Sat | 652 | 9 | 42 | 3 | 2136 | 44 | 18 | 2025-01-15| 9246 | 83 | 67 | null |\n| 454 | 21:39| 54 | 9 | 3 | 657 | Sun | 1080 | 5 | 28 | 10 | 821 | null | 46 | 2025-01-14| 4418 | 91 | 42 |\n| 89 | 300 | null | 92 | 3 | 2 | 773 | Mon | 1015 | 11 | 13 | 2 | 2162 | 14 | 57 | 2025-01-13| 3971 | 45 |\n| 19 | 57 | 466 | 23:53| 57 | 10 | 7 | 101 | Tue | null | 15 | 5 | 6 | 2728 | 50 | 38 | 2025-01-12| 16697 |\n| 16044| 26 | 15 | 362 | 22:18| 23 | 6 | 10 | 481 | Wed | 1737 | 14 | 61 | 4 | null | 20 | 19 | 2025-01-11 |\n| 2025-01-10| 12230| 58 | 67 | 425 | 23:24| 34 | 2 | 9 | 378 | Thu | 1252 | 11 | 54 | null | 1119 | 60 | 51 |\n| 56 | 2025-01-09| 8145 | 15 | 43 | 423 | null | 46 | 10 | 10 | 424 | Fri | 1333 | 13 | 33 | 3 | 2387 | 38 |\n| 49 | 41 | 2025-01-08| 10922| 82 | 83 | 517 | 23:54| 29 | 9 | 4 | 666 | Sat | 1440 | 7 | 46 | 1 | 2017 |\n| null | 19 | 13 | 2025-01-07| 19397| 66 | null | 529 | 21:59| 72 | 4 | 3 | 221 | Sun | 933 | 15 | 13 | 5 |\n| 1 | 1155 | 58 | 34 | 2025-01-06| null | 78 | 90 | 505 | null | 28 | 7 | 5 | 733 | null | 964 | 6 | 55 |\n| 14 | 7 | 1510 | null | 40 | 2025-01-05| null | 86 | 59 | 318 | 21:36| 18 | 5 | 7 | 855 | null | null | 10 |\n| 2 | 2 | 9 | 1072 | 18 | 56 | 2025-01-04| 7010 | 80 | 29 | 436 | null | 12 | 6 | 2 | 944 | Wed | null |\n| 1708 | 9 | 29 | 5 | 2561 | 27 | 21 | 2025-01-03| 608 | 81 | 94 | 551 | 22:40| 97 | null | 1 | 293 | Thu |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the stdev of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the exercise minutes was less than 50 and the number of tasks completed was greater than 3. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:075", "request": "I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ERROR| 17563| 69 | 76 | 404 | 22:32| 37 | 5 | 4 | ERROR| Mon | 936 | 6 | 48 | ERROR| 2482 | 40 | 36 |\n| 2025-01-26| 19885| null | null | 447 | 21:52| 20 | ERROR| 4 | 182 | Tue | 1181 | 9 | 12 | 7 | null | 29 | 42 |\n| 2025-01-25| ERROR| 70 | 53 | 551 | 22:26| 16 | 3 | 5 | 348 | Wed | 1798 | 8 | 47 | 7 | 1504 | 19 | 11 |\n| 2025-01-24| 6870 | 44 | ERROR| null | 21:53| 11 | 9 | 4 | 350 | null | 1855 | 10 | 11 | 1 | 2168 | 10 | 25 |\n| 2025-01-23| null | null | 100 | 510 | 23:54| ERROR| ERROR| 8 | 869 | Fri | 1567 | null | 13 | 8 | 1908 | 20 | 49 |\n| 2025-01-22| 11161| 78 | 58 | 563 | ERROR| null | 8 | ERROR| 775 | Sat | 697 | null | 2 | null | ERROR| 29 | 49 |\n| 2025-01-21| 1618 | 22 | 64 | null | 21:54| ERROR| 1 | 3 | 365 | Sun | 1869 | 2 | 21 | 10 | ERROR| 26 | 32 |\n| 2025-01-20| 4998 | 30 | 47 | 547 | 22:35| 36 | 8 | 9 | 530 | Mon | 1913 | ERROR| 8 | 9 | 1579 | 16 | 22 |\n| ERROR| 13303| 49 | 64 | 353 | ERROR| 43 | null | 6 | 819 | Tue | ERROR| null | 63 | null | 2279 | null | 59 |\n| 2025-01-18| null | 57 | 97 | ERROR| 21:51| 31 | 9 | 2 | 321 | Wed | 1546 | ERROR| 25 | 6 | 751 | ERROR| 39 |\n| 2025-01-17| 10372| ERROR| 26 | ERROR| 23:39| null | 1 | 4 | 481 | null | 1829 | ERROR| 64 | 6 | 1279 | 35 | 59 |\n| 2025-01-16| ERROR| 99 | 85 | 490 | 21:52| 45 | 4 | 3 | 414 | Fri | 401 | 7 | 11 | 3 | 1024 | ERROR| 59 |\n| 2025-01-15| 12371| 83 | ERROR| 410 | 23:29| 29 | 3 | 10 | 633 | Sat | 833 | ERROR| 31 | 7 | 1784 | 20 | 40 |\n| 2025-01-14| 9836 | 39 | null | 466 | 23:17| 28 | 8 | 1 | 232 | Sun | 1883 | 8 | 65 | ERROR| 2657 | 46 | 17 |\n| 2025-01-13| 1031 | ERROR| 86 | ERROR| 22:34| 66 | 2 | 8 | 404 | Mon | 1984 | null | 54 | 3 | 2942 | 55 | 39 |\n| 2025-01-12| 10388| 33 | ERROR| 487 | 23:53| null | null | 4 | ERROR| ERROR| null | 12 | 7 | 2 | 2390 | 22 | ERROR |\n| 2025-01-11| 557 | 58 | ERROR| 419 | 23:27| null | 7 | 2 | 180 | Wed | 778 | 15 | null | 4 | 1799 | ERROR| 24 |\n| 2025-01-10| 1648 | 60 | 76 | 595 | 23:14| 57 | null | 5 | 540 | Thu | 649 | null | 26 | 10 | 504 | 19 | 50 |\n| 2025-01-09| 8926 | 38 | 71 | 394 | 22:26| 12 | ERROR| 6 | 812 | Fri | 1628 | 8 | 45 | 4 | 2757 | 43 | 18 |\n| 2025-01-08| 10902| 36 | 32 | 472 | null | 54 | 6 | 10 | 207 | ERROR| 1481 | 11 | 0 | 9 | null | 24 | 38 |\n| ERROR| ERROR| 20 | 26 | 338 | 21:28| 57 | 10 | 2 | 423 | Sun | 1684 | null | 52 | 7 | 2677 | 59 | 43 |\n| 2025-01-06| 18918| ERROR| null | 460 | 21:25| 18 | null | 6 | 149 | null | null | 7 | 32 | 1 | 892 | 59 | 47 |\n| 2025-01-05| 551 | 82 | 70 | 390 | 22:47| 53 | ERROR| 6 | 129 | Tue | 726 | 5 | 65 | 1 | 2899 | 32 | 39 |\n| 2025-01-04| 9285 | 81 | 43 | 595 | 23:20| 44 | ERROR| 4 | null | null | 1002 | 14 | ERROR| 3 | 972 | 22 | null |\n| 2025-01-03| 15851| ERROR| 90 | 596 | 21:57| 98 | 1 | 7 | ERROR| Thu | 984 | 9 | 17 | 8 | null | 47 | 53 |\n| 2025-01-02| 17438| null | 63 | 555 | 23:43| 62 | 5 | 9 | 244 | ERROR| 882 | 4 | ERROR| 2 | 1244 | 28 | 52 |\n| 2025-01-01| null | ERROR| 18 | 590 | 22:26| 29 | 3 | 5 | 822 | null | 534 | null | 4 | 1 | ERROR| 13 | 55 |\n| 2024-12-31| 13595| 35 | 98 | 529 | 23:56| null | null | ERROR| 580 | null | null | 3 | 13 | 10 | 1838 | 16 | ERROR |\n| 2024-12-30| 6251 | null | 95 | 580 | 22:41| 66 | 3 | 7 | 812 | null | 1885 | 11 | 42 | 9 | 2459 | 19 | 10 |\n| 2024-12-29| ERROR| 23 | null | 355 | 22:20| 57 | 4 | ERROR| 861 | Tue | 1674 | 7 | 56 | 3 | 2946 | 15 | 35 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [2025-01-27, 794, 10, 2, 4654, 67, 37, 4, 21:48, 5, 1336, 65, 1322, 5, 2025-01-19, 21:16, 780, null, 8, null, 47, 362, 11, 861, 59, 57, 3, 1, 32, 308, null, 149, null, 32, 60, 59, 2, Sat, 2025-01-07, 15139, 61, 8, 10, 56, 26, 736, Fri, 47, 21, 2974, 4, 50, 13359, 5]. Compute the absolute difference between the stdev of column coding_minutes and column sleep_minutes, only looking at the days where the number of steps was less than 17000 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:076", "request": "I have a table with 28 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 3388, 30, 58, 347, 23:41, 23, 2, 516, 1367, 15, 17, 3, 1091, 44, 18, 2025-01-26, 5551, 90, 55, 354, 22:12, 30, 7, 1, 854, Tue, 1825, 15, 17, 5, 952, 56, 2025-01-25, 7065, 97, 71, 402, 23:30, 79, 10, 1, 470, Wed, 6, 9, 2564, 32, 39, 2025-01-24, 55, 72, 504, 22:26, 56, 1, 3, 400, Thu, 699, 13, 1, 6, 871, 32, 2025-01-23, 14586, 39, 68, 462, 22:55, 72, 1, 2, 251, Fri, 1338, 50, 5, 2744, 32, 44, 2025-01-22, 7723, 67, 69, 580, 15, 2, 2, 528, Sat, 688, 7, 49, 2, 1223, 47, 2025-01-21, 18220, 71, 86, 386, 21:38, 85, 6, 3, 356, Sun, 592, 15, 2, 5, 30, 36, 2025-01-20, 9538, 100, 487, 22:42, 20, 4, 10, 593, 434, 11, 52, 3, 2259, 51, 46, 2025-01-19, 7272, 10, 23, 22:15, 81, 10, 5, 859, Tue, 1682, 8, 2, 533, 30, 21, 2025-01-18, 9452, 55, 41, 574, 22:16, 5, 9, Wed, 1324, 20, 1, 2725, 49, 35, 2025-01-17, 36, 68, 457, 23:32, 64, 6, 498, Thu, 7, 54, 5, 1804, 12, 19, 2025-01-16, 12177, 75, 42, 562, 23:59, 70, 9, 9, 499, Fri, 1558, 64, 6, 1208, 53, 2025-01-15, 7835, 99, 99, 461, 23:44, 53, 4, 5, 943, Sat, 949, 11, 7, 2476, 43, 18, 2025-01-14, 12794, 38, 49, 371, 22:25, 31, 3, 7, 902, Sun, 1263, 10, 49, 7, 2462, 49, 18, 2025-01-13, 5401, 51, 87, 568, 23:44, 80, 2, 4, 204, 1116, 6, 63, 10, 2818, 29, 26, 2025-01-12, 19039, 72, 589, 22:41, 2, 4, 500, Tue, 1283, 11, 17, 4, 565, 15, 31, 2025-01-11, 15460, 11, 398, 74, 4, 6, 531, Wed, 853, 10, 33, 5, 2943, 41, 31, 2025-01-10, 8226, 77, 51, 558, 23:53, 79, 9, 9, 196, Thu, 1560, 59, 2270, 20, 19, 2025-01-09, 7957, 10, 91, 519, 2, 314, Fri, 964, 15, 33, 3, 1075, 13, 10, 2025-01-08, 2536, 19, 76, 374, 23:49, 41, 8, 9, Sat, 826, 24, 2, 818, 17, 20, 2025-01-07, 17096, 46, 54, 475, 22:44, 17, 5, Sun, 551, 5, 29, 5, 2735, 48, 27, 2025-01-06, 3416, 19, 32, 598, 21:20, 14, 10, 503, 1034, 12, 8, 10, 2047, 50, 2025-01-05, 18452, 46, 70, 550, 22:49, 82, 8, 10, Tue, 1996, 14, 12, 3, 1118, 24, 26, 2025-01-04, 6700, 14, 519, 23:10, 70, 1, 2, 974, Wed, 1103, 5, 4, 1290, 37, 52, 2025-01-03, 3707, 29, 39, 355, 23:28, 38, 5, 616, Thu, 1937, 35, 7, 1399, 39, 42, 2025-01-02, 10792, 88, 74, 546, 21:46, 79, 9, 10, 231, Fri, 1847, 2, 48, 3, 1727, 39, 29, 2025-01-01, 4874, 58, 66, 579, 22:10, 50, 8, 1, 958, Sat, 5, 54, 5, 35].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(22, 8), (17, 3), (19, 6), (3, 13), (10, 6), (10, 9), (24, 2), (25, 7), (10, 12), (11, 11), (6, 5), (21, 9), (23, 9), (12, 12), (22, 10), (22, 16), (17, 5), (8, 2), (4, 17), (19, 5), (5, 12), (9, 4), (11, 1), (11, 7), (27, 15), (9, 13), (25, 12), (1, 8), (2, 16), (16, 6), (13, 13), (24, 13), (15, 10), (18, 12), (6, 16), (20, 9), (7, 15), (21, 8), (20, 12), (4, 1), (3, 11), (12, 17), (27, 11), (19, 7), (8, 10), (27, 17), (16, 2), (1, 10), (18, 14)]. Compute the absolute difference between the mean of column coding_minutes and column exercise_minutes, only looking at the days where the water intake was less than 2500 ml and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:078", "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 10124 && 15888| 32 && 55| 84 && 99| 382 && 319| 22:44 && 22:18| 98 && null| null && 1| 8 && 5| 657 && 376| Mon && Tue| 1231 && 493| 13 && 11| 36 && 11| 7 && 5| 1455 && 2489| 57 && null| 28 && 47 |\n| 2025-01-25 && 2025-01-24| 11673 && 5626| 17 && 85| 98 && 48| null && 406| 21:40 && 22:48| 52 && 65| null && 2| 7 && 5| 985 && 490| Wed && Thu| 488 && null| 3 && 3| 22 && 7| null && 9| 714 && 1799| 31 && 48| null && 57 |\n| 2025-01-23 && 2025-01-22| 2279 && 17279| null && 71| 54 && 40| 540 && 402| 23:46 && 21:55| 62 && null| 3 && 2| 3 && 5| 478 && 782| Fri && Sat| 585 && 980| 9 && 9| null && 26| 7 && 2| 2239 && null| 58 && 59| 14 && 56 |\n| 2025-01-21 && 2025-01-20| 7992 && 6399| 60 && 57| 18 && 37| 329 && 404| 23:31 && 21:24| 79 && 67| 6 && 9| null && null| 140 && 904| Sun && Mon| 1436 && 1835| 14 && 12| 41 && 20| 4 && 2| 1199 && 2675| null && 57| 37 && null |\n| 2025-01-19 && 2025-01-18| 8178 && 11981| 79 && 90| 93 && 20| 487 && 388| 21:41 && 22:11| 74 && 41| 5 && 6| 5 && 2| 603 && 328| Tue && Wed| 950 && 563| 12 && 2| 22 && 38| 6 && 3| 1656 && 1577| 26 && 47| 59 && 16 |\n| 2025-01-17 && 2025-01-16| 7453 && 12283| 91 && 22| 39 && 29| 424 && 329| 22:40 && 22:39| 24 && 75| 9 && 2| 10 && 6| 694 && 109| Thu && Fri| 1891 && 1328| 13 && 1| null && 55| 3 && 9| 960 && 1682| 51 && 21| 47 && 56 |\n| 2025-01-15 && 2025-01-14| 12453 && 1880| 33 && 37| 69 && 32| 335 && null| 21:54 && 22:13| 76 && 69| 8 && 3| 9 && 1| 132 && 379| Sat && Sun| 1143 && 1485| 9 && 1| 54 && 9| 8 && 3| 550 && 1373| 25 && 47| 14 && 24 |\n| 2025-01-13 && 2025-01-12| 17729 && null| 52 && 45| 45 && null| 504 && 549| 23:48 && 23:49| 56 && 50| 7 && 9| 9 && null| 713 && null| null && Tue| null && 1508| 14 && 1| 18 && 49| 3 && null| 1184 && 2556| 33 && 24| 35 && 29 |\n| 2025-01-11 && 2025-01-10| 14894 && 11984| 75 && 71| null && 83| 575 && 364| 22:12 && 22:38| 98 && 90| 4 && 6| 5 && 8| null && 691| Wed && Thu| null && 1048| 8 && 1| 60 && 47| 4 && 5| 2739 && 2806| 31 && 38| 30 && 12 |\n| 2025-01-09 && 2025-01-08| 9321 && 4450| null && null| 70 && 33| 375 && null| 21:16 && 23:32| 15 && null| 3 && 10| 10 && 1| 399 && 809| Fri && Sat| 674 && null| null && 4| null && 25| 2 && 10| 2362 && 2723| 23 && 37| 40 && 38 |\n| 2025-01-07 && 2025-01-06| 12529 && 9811| 14 && 56| 92 && 33| null && 382| 21:41 && 23:40| 30 && 55| 7 && 4| 5 && 7| 246 && 263| Sun && Mon| 452 && 562| 14 && 14| 33 && 44| 6 && 7| 660 && 1280| 40 && null| 44 && 50 |\n| 2025-01-05 && 2025-01-04| 5325 && 6477| null && 91| 35 && 12| 345 && 501| 21:26 && 23:34| 20 && null| 3 && 7| 3 && 10| 341 && 843| Tue && Wed| 748 && 587| null && 12| 58 && 58| null && 1| null && 2777| 13 && 55| null && 11 |\n| 2025-01-03 && 2025-01-02| 7843 && 3286| 31 && null| 54 && 54| 411 && 574| 23:46 && 22:23| 49 && 47| 10 && 2| 3 && 4| 507 && 311| Thu && Fri| 1342 && 1675| 6 && 2| 25 && 34| null && 9| null && 789| null && 48| 12 && 19 |\n| 2025-01-01 && 2024-12-31| 19754 && 17680| 59 && 87| 37 && 52| 562 && 364| 23:58 && null| 67 && null| 3 && 3| 5 && 4| 746 && 517| Sat && null| 357 && 672| 7 && 6| 11 && 64| 1 && 5| 1522 && null| 25 && 43| 54 && 35 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the median of column exercise_minutes and column music_listening_minutes, only looking at the days where the water intake was less than 2500 ml and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:083", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 11127, 4780, 18102, 1609, 7253, 11929, 8857, 9676, 19792, null, 13560, 488, null, 17016, 9922, 13501, null, null, 5723, 12322, 11433, null, 13390, 14037, 8249, -3, study_minutes, 87, 94, 61, 51, 61, 64, 40, 84, 93, 39, 28, 38, 74, null, 26, 48, 66, 20, 89, null, null, 60, 91, 12, 97, -5, -6, exercise_minutes, 54, 73, null, 40, 95, 85, 41, 99, 37, 98, 96, 34, 16, 72, 46, 24, 72, 85, 41, null, 45, 54, 70, 27, 24, -3, -8, 4, sleep_minutes, 305, 321, 300, 327, 470, 376, 567, 522, 434, 382, 405, 557, 307, null, 351, 446, 424, 416, null, 446, 398, 426, 532, 393, 450, 3, -10, 10, -2, bed_time, 22:41, 22:44, 23:44, 23:36, 22:58, 21:44, null, 22:27, 22:50, 21:58, 22:55, 21:10, 22:30, 23:58, 21:11, 21:16, 21:44, 23:55, 22:36, null, 21:46, 22:51, 22:32, 22:17, 22:37, -9, 2, -2, 2, 6, num_messages, 70, 73, 39, 69, 28, 40, 80, 67, 35, 27, 86, 57, 16, 58, 57, 96, 35, 57, null, 45, 13, 66, 72, 81, 54, -6, 4, -1, 0, 5, 8, num_emails, 2, 5, 5, 4, 9, 6, 2, 9, 7, 1, 2, null, 5, 3, 2, 9, 6, 9, 2, 7, 4, 2, 6, 2, 9, -8, -1, 6, 0, 7, 0, 8, num_calls, 9, 2, 3, 1, 7, 3, 1, 4, 2, 8, 7, 6, 1, 3, 1, 3, 10, 3, 3, 1, 1, 4, 4, 6, 2, -8, -9, -5, 8, -5, -1, -9, -3, calories_burned, 496, null, 781, 661, 234, 124, 250, 586, 360, 490, 457, 828, 490, null, null, 139, 584, 204, 352, 385, 168, null, 942, 864, 765, -1, 5, -9, 6, -10, 2, 10, 8, -9, weekday, null, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, null, Thu, Fri, Sat, Sun, null, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, Wed, null, -10, -7, -1, -6, 5, -4, 4, 9, -6, -3, calories_consumed, 1600, 1121, 1597, 971, 1076, 1948, 398, 1364, 1179, 587, 891, 827, 639, 873, 1316, 763, 1965, 1183, 1602, 339, 1317, null, 617, 956, 1753, 10, -7, -8, 1, 9, -7, -9, 4, 9, 4, 0, num_meetings, 10, 5, 14, null, 10, 8, 12, 7, 1, null, 11, 14, 2, null, 12, 14, 7, 3, 9, 14, 15, 5, 6, 12, 4, -10, 4, -10, 5, 3, -10, 0, -6, 8, 10, 1, -10, coding_minutes, 44, 14, 9, null, 23, null, 9, 19, 27, 44, 2, 44, 25, 38, 26, 34, null, 30, 27, 64, 60, 12, 31, 57, 15, -6, 7, 5, 1, -6, -6, 4, 4, -4, -5, -9, -9, -2, num_tasks_completed, 6, 4, 8, null, 10, 10, 7, null, 4, 9, 6, 6, 6, 2, 1, 7, 2, 5, 7, null, 1, 9, 2, 8, null, 8, -2, 7, 7, 3, -10, 10, 5, -8, -1, 2, 10, -4, 5, water_intake_ml, 1882, 1701, 2495, 1767, 1421, 1343, null, null, 1279, 856, 707, 2488, 1680, 1692, 2362, 1930, 1373, 2394, 1675, 2885, 1058, 826, 1227, 1627, 1794, 5, -1, -5, 2, 9, 3, 3, 5, -4, -3, 1, -4, -2, -6, 1, phone_screen_time_minutes, 54, null, 32, 52, 53, null, 17, 25, 26, null, 45, 11, 15, 39, 46, 40, 34, 13, 14, 29, 28, 17, 34, 17, null, 5, 6, -8, -1, 8, 1, 4, -10, -6, -5, -5, 9, -5, 6, 4, -2, music_listening_minutes, 29, 51, 27, 35, null, 20, 24, 53, 58, 58, null, 13, 25, 31, 43, 52, null, 13, 48, 43, 12, 11, 44, 31, 41, 7, 6, 1, -1, 4, -8, 3, 0, 5, 0, -4, 5, 9, 0, 9, -4, -7].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the mean of column study_minutes and column coding_minutes, only looking at the days where the coding minutes was greater than 20 and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:085", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, 2024-12-27, 2024-12-26, 2024-12-25, num_steps, 288, 13484, 7245, 2901, 2118, 14734, 3387, 12276, 10560, 18377, 18322, 16215, 1854, 5886, 6063, 10925, 6077, 3309, 2892, 9588, 19025, 13110, 19048, 2661, 19920, 17721, 8186, 12311, 19824, 1614, 11734, study_minutes, 38, 69, 78, 42, 17, 51, 11, 13, 61, 85, 74, 80, 68, 49, 79, 65, 33, 31, 69, 11, 12, 79, 21, 35, 59, 55, 71, 36, 51, 13, 89, exercise_minutes, 44, 63, 17, 96, 96, 68, 70, 82, 76, 61, 53, 38, 87, 22, 10, 80, 10, 21, 41, 16, 38, 67, 32, 27, 87, 33, 18, 100, 78, 83, sleep_minutes, 492, 304, 300, 474, 523, 435, 405, 442, 508, 443, 439, 514, 446, 349, 414, 313, 490, 453, 486, 484, 383, 384, 323, 384, 408, 345, 462, 343, 415, 598, bed_time, 21:35, 21:56, 23:14, 23:52, 21:34, 21:42, 22:29, 21:46, 21:30, 22:12, 21:38, 21:59, 21:22, 23:19, 23:47, 23:15, 21:58, 23:40, 23:46, 23:48, 22:36, 23:23, 23:24, 22:52, 21:21, 23:37, 21:33, 22:43, 21:39, 22:44, 23:42, 21:50, num_messages, 77, 100, 43, 39, 32, 62, 70, 86, 19, 94, 84, 50, 64, 89, 38, 51, 72, 59, 29, 55, 35, 21, 36, 96, 39, 43, 59, 62, 42, 31, num_emails, 7, 3, 1, 1, 3, 2, 8, 2, 6, 4, 5, 4, 5, 5, 6, 2, 5, 4, 4, 3, 6, 4, 2, 2, 1, 10, 9, 6, 2, num_calls, 9, 7, 2, 10, 7, 10, 2, 10, 6, 7, 6, 3, 10, 5, 4, 7, 1, 5, 10, 1, 9, 8, 3, 3, 8, 4, 10, 1, 3, calories_burned, 909, 912, 686, 725, 124, 933, 896, 861, 990, 393, 802, 770, 103, 858, 664, 785, 771, 143, 559, 152, 527, 462, 938, 353, 897, 707, 759, 420, 260, 608, weekday, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Thu, Fri, Sat, Tue, Wed, Thu, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, calories_consumed, 1199, 845, 1944, 1407, 1196, 392, 416, 790, 339, 1706, 1371, 337, 657, 1569, 943, 975, 1264, 1434, 1777, 325, 1770, 412, 653, 348, 1352, 577, 1835, 1097, 539, 1361, 632, 1309, 362, num_meetings, 5, 2, 14, 2, 1, 8, 7, 9, 4, 11, 8, 12, 4, 4, 7, 13, 4, 5, 7, 14, 5, 5, 12, 12, 14, 10, 7, 7, 9, 15, 12, 10, coding_minutes, 28, 23, 19, 18, 61, 14, 11, 41, 57, 26, 2, 20, 14, 35, 20, 15, 28, 57, 2, 3, 62, 51, 48, 51, 28, 24, 61, 30, 9, num_tasks_completed, 3, 10, 6, 6, 5, 6, 10, 3, 9, 9, 2, 8, 2, 4, 1, 7, 2, 9, 5, 7, 2, 7, 2, 4, 6, 9, 4, 2, 3, 7, water_intake_ml, 1063, 2932, 2022, 2021, 1399, 1416, 564, 1282, 1044, 2066, 709, 1784, 2616, 2748, 551, 1603, 711, 2240, 1559, 2429, 2525, 1962, 2131, 938, 2941, 2836, 2338, 2166, 557, 2932, 2098, 1495, phone_screen_time_minutes, 58, 52, 26, 39, 41, 57, 28, 43, 41, 59, 27, 38, 13, 32, 46, 50, 31, 10, 29, 38, 56, 46, 21, 47, 39, 53, 13, 24, 54, 32, music_listening_minutes, 47, 14, 12, 10, 56, 52, 43, 50, 50, 49, 55, 46, 47, 24, 29, 45, 48, 56, 54, 24, 34, 23, 10, 49, 47, 49, 33, 29].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(12, 4), (22, 2), (21, 10), (18, 17), (20, 8), (12, 16), (5, 4), (20, 17), (3, 7), (22, 17), (32, 6), (11, 5), (32, 9), (25, 7), (33, 14), (24, 8), (13, 14), (1, 12), (15, 8), (31, 13), (34, 6), (22, 13), (23, 6), (22, 10), (4, 8), (27, 3), (9, 1), (33, 1), (2, 4), (30, 17), (18, 3), (26, 10), (15, 10), (6, 13), (6, 3), (7, 6), (23, 2), (31, 3), (6, 16), (18, 15), (3, 2), (3, 5), (14, 11), (27, 8), (23, 17), (14, 14), (3, 14), (17, 7), (8, 4), (22, 15), (30, 7), (19, 1), (4, 13), (8, 7), (5, 17), (19, 16), (10, 13), (11, 9), (10, 16), (13, 9), (26, 9), (26, 12)]. Compute the absolute difference between the mean of column sleep_minutes and column study_minutes, only looking at the days where the weekday is Monday and the phone screen time minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:086", "request": "I have a table with 28 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| ERROR| 78 | 33 | 318 | 22:47| 71 | 10 | 8 | 741 | null | 844 | 9 | ERROR| 9 | 722 | 10 | 40 |\n| 2025-01-26| 7603 | 49 | 73 | 421 | null | 66 | 10 | 8 | 840 | Tue | 860 | 10 | ERROR| 3 | 1097 | 58 | 41 |\n| 2025-01-25| 8395 | 99 | 35 | null | 23:32| ERROR| ERROR| 6 | 963 | Wed | 831 | 10 | 64 | ERROR| ERROR| 19 | 20 |\n| 2025-01-24| 9009 | 63 | 30 | 553 | 22:41| null | 7 | ERROR| 811 | Thu | 1242 | 2 | 17 | ERROR| ERROR| null | null |\n| 2025-01-23| 6121 | 82 | 81 | ERROR| 23:49| 67 | 5 | null | 844 | Fri | 1212 | null | 50 | 6 | 838 | ERROR| ERROR |\n| 2025-01-22| 7200 | ERROR| ERROR| 371 | 21:16| 23 | ERROR| 2 | 497 | null | 728 | 7 | 0 | 4 | 599 | 26 | 12 |\n| 2025-01-21| ERROR| 51 | 94 | 468 | 22:57| 12 | 9 | 9 | 284 | Sun | 1404 | 12 | null | 3 | 1251 | 24 | 15 |\n| 2025-01-20| 10166| 70 | 72 | 335 | 21:57| 28 | 6 | 1 | 138 | null | 852 | 9 | 33 | null | 2944 | 11 | 39 |\n| 2025-01-19| null | 24 | 75 | 451 | 23:43| 86 | 4 | 3 | 631 | Tue | 1612 | 6 | 47 | 7 | null | 13 | null |\n| 2025-01-18| 12409| 24 | ERROR| 333 | 22:24| 68 | 8 | 1 | 314 | ERROR| 1310 | 2 | 16 | 6 | 1504 | 12 | 54 |\n| 2025-01-17| ERROR| 75 | ERROR| 526 | 22:25| 68 | null | 1 | 281 | Thu | null | null | 42 | 6 | 1513 | 18 | 46 |\n| 2025-01-16| 14679| 27 | 62 | 433 | ERROR| 17 | 5 | ERROR| 595 | Fri | 539 | 5 | 33 | 9 | ERROR| 16 | 20 |\n| 2025-01-15| 7504 | ERROR| 41 | 309 | 22:52| 22 | 3 | 1 | ERROR| Sat | 1676 | 7 | 57 | 1 | 1352 | ERROR| ERROR |\n| 2025-01-14| 18552| 73 | null | 350 | 21:11| 72 | 10 | 1 | 882 | Sun | 1289 | 11 | 47 | 6 | 631 | 41 | ERROR |\n| 2025-01-13| 4080 | 47 | 15 | 556 | 22:37| 69 | 9 | 10 | 355 | Mon | 864 | ERROR| 50 | ERROR| 795 | 14 | 25 |\n| 2025-01-12| 18858| 45 | 20 | 317 | 23:43| null | 7 | ERROR| 312 | Tue | 552 | 9 | 15 | 8 | 2019 | 29 | 30 |\n| 2025-01-11| 10983| 86 | 81 | 533 | 22:34| 47 | 10 | null | null | Wed | 437 | 4 | 57 | null | 2623 | 43 | 29 |\n| 2025-01-10| 14197| 13 | 27 | null | 21:18| 88 | 6 | ERROR| null | null | 1271 | ERROR| 7 | 3 | 1417 | 55 | 23 |\n| 2025-01-09| 14716| 100 | 10 | 331 | ERROR| 23 | 1 | 10 | 504 | Fri | null | 9 | 13 | 8 | 1105 | null | 48 |\n| 2025-01-08| null | 45 | ERROR| 572 | 23:34| 81 | 6 | 3 | ERROR| Sat | 334 | 6 | null | 10 | null | 24 | 57 |\n| 2025-01-07| 10256| ERROR| 57 | 419 | 21:47| 15 | 3 | 7 | ERROR| Sun | null | 8 | 29 | 5 | 1882 | 48 | 23 |\n| 2025-01-06| 10974| 90 | 73 | ERROR| 22:53| 37 | 8 | 6 | 209 | Mon | 1741 | 12 | 13 | 7 | 1111 | 35 | 24 |\n| 2025-01-05| ERROR| 19 | null | 451 | 21:21| 50 | 5 | 5 | 650 | Tue | 1685 | 12 | 58 | 2 | 916 | 32 | 32 |\n| 2025-01-04| 17728| 74 | 71 | 314 | 23:55| 30 | ERROR| 2 | 710 | Wed | 633 | null | 4 | ERROR| 938 | 14 | 28 |\n| 2025-01-03| 7277 | ERROR| 79 | null | 22:38| null | 7 | ERROR| ERROR| Thu | 811 | 9 | 2 | 9 | 2792 | 26 | 48 |\n| 2025-01-02| 2746 | 21 | 84 | ERROR| 21:34| 66 | null | 7 | 328 | null | 530 | 9 | null | 2 | ERROR| 48 | 51 |\n| 2025-01-01| 13032| 80 | null | null | 22:46| ERROR| 2 | 2 | 420 | Sat | 1233 | null | 57 | 2 | 701 | 18 | 54 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [16998, 4268, 17442, 15625, 87, null, null, 39, 65, 73, 75, 59, null, 579, 529, 21:32, 21:30, null, 92, 8, 6, 3, 2, 10, 1, 6, 3, 552, 967, 522, 729, Wed, 11, 11, 29, 24, 5, 6, 9, 9, null, 2175, null, 1056, 56, null, 54, 25, 17]. Compute the absolute difference between the median of column exercise_minutes and column sleep_minutes, only looking at the days where the number of emails was greater than 2 and the phone screen time minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:087", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-25| 3239 | 70 | null | 421 | 23:55| 74 | 4 | 2 | 549 | Wed | 1742 | null | 4 | 9 | 1380 | 40 | 44 |\n| 2025-01-27| 15216| 43 | 64 | null | 21:59| 72 | 2 | 3 | 171 | Thu | 693 | 8 | 48 | 6 | 1226 | 47 | 57 |\n| 2025-01-26| null | 93 | 21 | 423 | 23:19| 62 | 9 | 6 | 119 | Fri | 750 | 3 | 55 | 3 | 778 | 36 | 24 |\n| 2025-01-25| 18421| null | 19 | 436 | null | 41 | 2 | null | null | Sat | 1285 | 7 | 56 | 9 | 2142 | 23 | 36 |\n| 2025-01-24| 5277 | 89 | 57 | 361 | 23:42| 40 | 10 | 5 | null | Sun | 923 | 7 | 1 | 6 | 1784 | 26 | 10 |\n| 2025-01-23| 2222 | 44 | 74 | 480 | null | null | 2 | 7 | 239 | null | 1850 | 4 | 6 | 9 | 2670 | null | 60 |\n| 2025-01-22| 7565 | 47 | 70 | 397 | 21:22| 21 | 1 | 1 | 962 | Tue | 1871 | 11 | 2 | 3 | 2823 | 28 | 19 |\n| 2025-01-21| null | 100 | 32 | null | 21:16| 63 | 2 | 10 | null | Wed | 301 | 12 | 56 | 4 | 1336 | 29 | 59 |\n| 2025-01-20| 2839 | 36 | 82 | 581 | null | 24 | 7 | 7 | null | Thu | 1400 | 15 | 16 | 2 | null | 26 | 20 |\n| 2025-01-19| 6255 | 12 | 28 | 587 | 23:36| 58 | 10 | 8 | 687 | null | 1832 | 5 | 34 | 1 | 2869 | 40 | 43 |\n| 2025-01-18| 943 | 75 | 51 | 377 | 21:50| 60 | 7 | 6 | null | Sat | 658 | 1 | 44 | 6 | 2313 | 12 | 58 |\n| 2025-01-17| 19249| 73 | 97 | 369 | 21:16| 67 | 5 | 5 | 638 | null | 1947 | 4 | 65 | 3 | 628 | 28 | 40 |\n| 2025-01-16| 5564 | null | 98 | 393 | 21:57| 77 | null | 4 | 604 | Tue | 1965 | 9 | 22 | 8 | 533 | 58 | 47 |\n| 2025-01-15| 3269 | 36 | 21 | 554 | 22:59| 92 | 7 | 10 | null | Wed | 1143 | 7 | null | 6 | 2697 | 56 | null |\n| 2025-01-14| 5141 | 42 | 75 | 562 | 22:54| 10 | 4 | 10 | 867 | Thu | null | 15 | 48 | 8 | 2704 | 58 | null |\n| 2025-01-13| 3536 | 72 | 27 | 596 | 23:13| 70 | 6 | 7 | 723 | Fri | 1293 | 8 | 65 | null | 945 | 29 | 21 |\n| 2025-01-12| 14590| 31 | 45 | 448 | 22:36| 89 | null | 5 | null | Sat | 1529 | 4 | 44 | 3 | 1557 | null | 26 |\n| 2025-01-11| 15235| 49 | 70 | 422 | null | null | 5 | null | 133 | Sun | 1982 | 3 | 2 | 5 | 1313 | 30 | 41 |\n| 2025-01-10| 10067| 38 | 94 | 427 | 23:47| 37 | 10 | 9 | 504 | Mon | 706 | 5 | 43 | null | 2322 | 49 | 41 |\n| 2025-01-09| null | 61 | 23 | null | 21:57| 48 | 10 | 1 | 908 | Tue | 815 | 9 | null | 10 | 2021 | 23 | null |\n| 2025-01-08| null | 100 | 83 | 527 | 21:31| 94 | 5 | 10 | 264 | Wed | null | 10 | 64 | 1 | 664 | 42 | 46 |\n| 2025-01-07| 18959| 65 | 19 | 450 | 21:32| 68 | 3 | 4 | 248 | Thu | 1973 | 11 | 51 | null | 511 | 40 | 58 |\n| 2025-01-06| 9485 | 96 | 87 | 473 | 21:49| 48 | 9 | null | 786 | Fri | 1274 | 5 | 30 | 7 | 1775 | 46 | 45 |\n| 2025-01-05| 14566| 43 | 85 | 433 | 22:43| 88 | 8 | 4 | 678 | Sat | 793 | 15 | null | 4 | 1062 | 18 | 39 |\n| 2025-01-04| 18564| 96 | 38 | 419 | 22:54| 10 | null | 10 | 905 | Sun | 1284 | 9 | 5 | 10 | 1134 | 32 | 44 |\n| 2025-01-03| 7296 | 31 | 47 | 546 | 23:54| 94 | 2 | 7 | 668 | null | 1905 | 8 | 32 | 9 | 1474 | 54 | 21 |\n| 2025-01-02| 19771| 47 | 23 | 473 | 21:19| null | 1 | 4 | 539 | Tue | 612 | 14 | 35 | 7 | 2884 | 24 | 10 |\n| 2025-01-01| null | 57 | 75 | 472 | 23:32| 65 | 7 | 7 | 856 | Wed | 982 | 5 | 21 | 10 | 756 | 54 | 56 |\n| 2024-12-31| null | 11 | 49 | 317 | null | 53 | 7 | 2 | 166 | Thu | 880 | 3 | 46 | 2 | 2212 | 33 | 43 |\n| 2024-12-30| 18536| 12 | 56 | 402 | 21:58| 62 | 1 | 5 | null | Fri | 1048 | 15 | 43 | null | 2182 | 59 | 31 |\n| 2024-12-29| 16543| 47 | 98 | null | 22:45| 45 | 1 | 5 | 631 | Sat | null | 15 | 55 | 4 | 2862 | 13 | 43 |\n| 2024-12-28| 14291| 97 | 81 | 421 | 22:46| 100 | 6 | 10 | 676 | null | 1035 | 6 | 18 | 5 | 1594 | 55 | 58 |\n| 2024-12-27| 7189 | 75 | 12 | 413 | 21:36| 65 | null | 9 | null | Mon | 1946 | null | 31 | 10 | 1772 | 42 | 28 |\n| 2024-12-26| 190 | 20 | 22 | 424 | 23:10| null | 2 | 9 | 243 | Tue | 1816 | 6 | null | 4 | 2670 | 20 | 41 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the stdev of column music_listening_minutes and column sleep_minutes, only looking at the days where the coding minutes was greater than 20 and the phone screen time minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:088", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 1845, 72, 47, 301, 23:43, 55, 3, 10, 909, 1133, 14, 52, 1, 563, 53, 50, 2025-01-26, 15696, 94, 39, 320, 21:42, 25, 9, 6, 498, Tue, 323, 11, 4, 5, 2724, 15, 28, 2025-01-25, 9447, 54, 325, 22:30, 18, 10, 2, 490, 11, 50, 3, 2938, 51, 2025-01-24, 2367, 83, 30, 329, 22:55, 10, 2, 4, 752, Thu, 1490, 5, 44, 9, 1699, 59, 41, 2025-01-23, 7391, 93, 510, 23:43, 20, 10, 3, 170, Fri, 1315, 1, 3, 2, 2591, 47, 22, 2025-01-22, 12030, 28, 47, 575, 21:36, 34, 9, 1, 386, Sat, 560, 15, 48, 7, 765, 17, 53, 2025-01-21, 28, 17, 372, 22:50, 39, 9, 831, Sun, 1051, 6, 64, 8, 1400, 44, 17, 2025-01-20, 568, 52, 11, 422, 23:50, 8, 7, 314, 1148, 7, 65, 9, 2896, 58, 40, 2025-01-19, 18434, 38, 11, 576, 21:57, 94, 7, 6, 441, 1482, 11, 33, 6, 1256, 20, 26, 2025-01-18, 49, 32, 433, 23:18, 62, 9, 9, 674, Wed, 47, 2593, 18, 43, 2025-01-17, 17, 478, 21:19, 99, 5, 7, Thu, 447, 5, 43, 5, 2925, 46, 19, 2025-01-16, 14644, 96, 398, 23:30, 63, 5, 8, 570, Fri, 532, 8, 4, 10, 1610, 19, 60, 2025-01-15, 6594, 50, 33, 410, 22:17, 48, 5, 5, Sat, 13, 5, 1206, 10, 39, 2025-01-14, 3902, 27, 92, 384, 22:42, 95, 1, Sun, 1939, 10, 40, 10, 2995, 10, 29, 2025-01-13, 4283, 70, 71, 420, 22:58, 83, 2, 8, 416, 12, 6, 760, 26, 60, 2025-01-12, 2812, 62, 21, 585, 23:16, 46, 3, 5, 776, Tue, 3, 17, 4, 1928, 45, 24, 2025-01-11, 13302, 79, 82, 503, 21:19, 92, 1, 8, 854, Wed, 614, 8, 30, 4, 2005, 50, 11, 2025-01-10, 10, 74, 411, 23:10, 92, 5, 7, 599, Thu, 1870, 7, 4, 29, 2025-01-09, 3156, 51, 21, 397, 23:27, 78, 3, 993, Fri, 1291, 11, 57, 7, 2239, 50, 59, 2025-01-08, 12083, 86, 466, 22:28, 56, 4, 4, 210, Sat, 1782, 7, 32, 2, 1697, 55, 2025-01-07, 16358, 78, 47, 301, 61, 8, 624, Sun, 810, 14, 51, 8, 2161, 42, 2025-01-06, 1415, 81, 92, 517, 21:23, 88, 8, 9, 775, Mon, 994, 4, 22, 1, 1560, 52, 2025-01-05, 10044, 11, 83, 306, 21:50, 88, 930, Tue, 712, 4, 4, 6, 42, 18, 2025-01-04, 11838, 66, 63, 302, 23:51, 16, 3, 7, 612, Wed, 1608, 9, 23, 6, 2112, 2025-01-03, 16901, 36, 317, 22:21, 7, 3, 210, Thu, 1234, 3, 52, 3, 2846, 51, 16, 2025-01-02, 5508, 53, 48, 511, 22:16, 71, 6, 8, Fri, 1803, 3, 22, 9, 1329, 53, 50].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(23, 7), (21, 16), (14, 7), (3, 10), (3, 16), (22, 17), (8, 6), (10, 12), (13, 11), (15, 11), (18, 1), (7, 1), (24, 17), (18, 16), (18, 13), (20, 16), (3, 3), (14, 9), (23, 15), (9, 10), (11, 1), (10, 11), (10, 14), (25, 6), (24, 16), (15, 13), (13, 13), (15, 10), (21, 5), (20, 3), (12, 2), (18, 15), (21, 8), (23, 8), (3, 11), (5, 2), (19, 7), (11, 3), (25, 2), (8, 10), (11, 9), (10, 1), (13, 9), (1, 10), (26, 9), (16, 11), (7, 8)]. Compute the absolute difference between the stdev of column exercise_minutes and column phone_screen_time_minutes, only looking at the days where the coding minutes was greater than 20 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:090", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 1189 | 40 | 34 | 376 | 22:38| 96 | 2 | 8 | 267 | null | null | 7 | 47 | null | 2029 | 17 | null |\n| 2025-01-26| 5614 | 34 | 43 | ERROR| 23:51| 67 | 7 | 8 | 862 | Tue | null | null | 57 | null | 2186 | 21 | null |\n| 2025-01-25| 9248 | null | ERROR| 318 | 22:18| null | null | 7 | ERROR| ERROR| 1407 | ERROR| 45 | 6 | 2873 | 52 | 22 |\n| 2025-01-24| ERROR| ERROR| 45 | 344 | 23:49| 50 | 2 | 1 | 654 | Thu | 1095 | 14 | 57 | 9 | 1465 | null | 53 |\n| 2025-01-23| 9764 | 87 | 61 | 315 | ERROR| ERROR| 10 | null | null | Fri | 1711 | 8 | 42 | 10 | 2337 | 24 | 47 |\n| 2025-01-22| 18170| null | 78 | 425 | 23:46| 21 | 7 | ERROR| 376 | Sat | 1229 | 8 | 8 | ERROR| ERROR| 38 | 55 |\n| 2025-01-21| ERROR| 95 | 46 | 317 | null | 24 | ERROR| 5 | 228 | null | ERROR| 10 | 19 | 3 | 1426 | 32 | 57 |\n| 2025-01-20| 128 | 12 | 93 | 352 | 23:57| 51 | 9 | 8 | 669 | Mon | 963 | 9 | 1 | 6 | 1289 | 58 | 42 |\n| 2025-01-19| ERROR| 37 | null | 532 | ERROR| 56 | 2 | 3 | 339 | ERROR| null | ERROR| 5 | 2 | 1181 | 24 | 18 |\n| 2025-01-18| 5451 | ERROR| 42 | 587 | 23:40| 86 | 5 | 7 | 902 | Wed | 707 | 13 | null | 8 | 1645 | 41 | 37 |\n| 2025-01-17| 11917| 97 | 17 | ERROR| 21:41| 10 | 8 | ERROR| 511 | Thu | 927 | null | 25 | 5 | 2175 | null | 37 |\n| 2025-01-16| 10109| 83 | null | 439 | 22:35| 66 | 6 | 2 | 228 | Fri | 1131 | 5 | 36 | 9 | ERROR| 28 | 45 |\n| 2025-01-15| 11537| 41 | 86 | null | 22:56| 16 | 4 | 8 | null | Sat | 560 | 7 | 2 | 4 | 1053 | 29 | 10 |\n| 2025-01-14| 14879| 94 | 83 | ERROR| 23:16| 40 | 6 | 5 | 390 | Sun | ERROR| 11 | 33 | 7 | 891 | 52 | 34 |\n| 2025-01-13| 18327| 72 | 15 | 459 | 23:26| null | 6 | 10 | 631 | null | 449 | ERROR| 63 | 2 | ERROR| 35 | null |\n| ERROR| 541 | 95 | 60 | 403 | null | 100 | 7 | 5 | 920 | Tue | 549 | ERROR| 12 | 8 | 2007 | 58 | 45 |\n| 2025-01-11| 18707| null | ERROR| ERROR| 22:12| null | 1 | 6 | null | Wed | 1192 | 3 | ERROR| 4 | 580 | 17 | 22 |\n| 2025-01-10| 5800 | 97 | 36 | 510 | ERROR| ERROR| 6 | 3 | ERROR| Thu | 1874 | 10 | 6 | 1 | 2956 | 24 | 47 |\n| 2025-01-09| 7012 | 14 | 75 | 458 | null | 60 | 4 | 5 | 361 | Fri | 1379 | 7 | 59 | 5 | 802 | 16 | 32 |\n| 2025-01-08| null | ERROR| 95 | 534 | 22:52| 90 | 7 | 9 | 698 | Sat | 354 | 6 | 37 | ERROR| 2880 | 23 | 43 |\n| 2025-01-07| ERROR| null | 20 | 357 | 23:38| 17 | 3 | 7 | 845 | Sun | 1257 | 1 | 50 | 1 | 1307 | ERROR| 59 |\n| 2025-01-06| 19133| ERROR| null | 547 | 23:39| null | 7 | 8 | ERROR| Mon | 1093 | 9 | 46 | 6 | 1754 | 45 | 54 |\n| ERROR| 11584| 96 | 93 | 465 | 21:52| ERROR| 2 | 2 | 950 | Tue | 1878 | 2 | 36 | 3 | ERROR| 18 | 12 |\n| 2025-01-04| 12071| 80 | 58 | 395 | 22:22| 39 | 6 | 10 | 955 | Wed | 625 | 13 | 62 | 8 | 985 | 45 | 57 |\n| 2025-01-03| 13994| 76 | 11 | 436 | 23:57| ERROR| 7 | 7 | 588 | Thu | 1895 | 12 | 64 | 9 | 1617 | null | 30 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [436, 12, null, Wed, 10, 9550, 88, null, 26, 6, 4, 700, 9317, 9, 1239, 13701, 22:15, Tue, 4, 92, null, null, 1223, 318, 1789, 9, 1673, 2025-01-12, 3, 20, 491, null, 21:28, 48, 714, null, 5, 362, 14, 90, 908, 2025-01-05, 37, null, 76]. Compute the absolute difference between the sum of column sleep_minutes and column study_minutes, only looking at the days where the number of emails was greater than 2 and the phone screen time minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:091", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 10687| 79 | ERROR| 356 | 22:29| 81 | ERROR| 3 | 880 | Mon | 683 | ERROR| 15 | null | null | 23 | 16 |\n| 2025-01-26| 5342 | 86 | 62 | 429 | 22:18| 60 | 2 | 2 | 330 | Tue | 1257 | null | 41 | 7 | 582 | ERROR| 36 |\n| 2025-01-25| ERROR| 77 | 39 | 576 | 22:25| 75 | 8 | 10 | 205 | Wed | 886 | 12 | 42 | 8 | 1963 | 15 | 29 |\n| 2025-01-24| 3578 | 27 | 61 | ERROR| ERROR| 34 | 8 | 10 | 357 | Thu | 1170 | 8 | 28 | 7 | 2188 | 37 | ERROR |\n| 2025-01-23| null | 46 | 19 | 380 | 23:27| 85 | ERROR| 3 | 292 | Fri | null | null | 22 | ERROR| 2887 | 13 | 56 |\n| 2025-01-22| 3633 | 83 | 17 | 370 | 21:11| null | 2 | 6 | 225 | Sat | 1006 | null | 44 | 2 | 1569 | 49 | 45 |\n| 2025-01-21| null | 32 | 36 | 517 | ERROR| 75 | 7 | 7 | ERROR| null | null | 2 | 57 | 5 | 772 | null | 18 |\n| 2025-01-20| 12908| 21 | 19 | 318 | 22:15| 28 | 2 | 4 | 834 | null | ERROR| 6 | ERROR| 10 | 2190 | 29 | 10 |\n| 2025-01-19| 1842 | 18 | 74 | 429 | 23:29| ERROR| 1 | 9 | 495 | Tue | 1095 | ERROR| 44 | 4 | ERROR| 34 | 58 |\n| 2025-01-18| 16319| 36 | 21 | 404 | 21:50| 21 | 1 | ERROR| ERROR| null | ERROR| 6 | 7 | 1 | ERROR| 32 | 53 |\n| 2025-01-17| 12761| ERROR| 10 | ERROR| 22:31| 27 | 6 | null | 490 | Thu | 1101 | 10 | 15 | null | 1147 | 21 | ERROR |\n| 2025-01-16| 10751| 84 | 95 | 372 | ERROR| null | 7 | 8 | 568 | ERROR| ERROR| 15 | 59 | 8 | null | 28 | 27 |\n| 2025-01-15| 18729| 60 | 56 | ERROR| 22:44| ERROR| 10 | 8 | 948 | Sat | 1747 | 4 | 55 | null | 1628 | 59 | 18 |\n| 2025-01-14| 7191 | null | ERROR| 407 | 23:16| 13 | null | 2 | 586 | Sun | null | 13 | null | ERROR| null | 40 | 20 |\n| 2025-01-13| 14076| null | 92 | 322 | ERROR| 90 | 9 | 7 | 466 | null | 560 | 9 | 7 | 10 | 1548 | 28 | 51 |\n| 2025-01-12| 9495 | 90 | null | 502 | 22:45| null | 9 | 5 | 273 | Tue | 1951 | 9 | 40 | 8 | null | 20 | 41 |\n| 2025-01-11| 19122| 54 | 25 | 408 | 22:51| 48 | 10 | 5 | 902 | Wed | 828 | 15 | null | 9 | 1571 | 36 | null |\n| 2025-01-10| 2008 | 71 | 96 | 593 | 22:55| 47 | 4 | 1 | 192 | Thu | 1210 | 8 | 50 | null | 1816 | 20 | 12 |\n| 2025-01-09| 4179 | 92 | 19 | 434 | 23:34| 88 | 5 | ERROR| 182 | Fri | 1271 | 15 | 33 | 8 | 1820 | ERROR| ERROR |\n| 2025-01-08| 12157| 37 | 15 | 336 | null | 46 | null | ERROR| ERROR| Sat | 1889 | 14 | 27 | ERROR| 2593 | null | 56 |\n| 2025-01-07| 10244| null | 67 | 490 | 22:49| 22 | 4 | null | 199 | Sun | ERROR| 9 | ERROR| 7 | 693 | ERROR| 26 |\n| 2025-01-06| 14366| 80 | 51 | 443 | 23:29| 50 | 1 | 1 | 951 | Mon | 498 | 2 | 15 | 8 | 2995 | 58 | 23 |\n| 2025-01-05| 19996| 53 | 46 | 314 | ERROR| 86 | 7 | 10 | 400 | Tue | 1522 | 3 | 41 | 6 | 1993 | 59 | 55 |\n| 2025-01-04| 19270| 84 | 95 | ERROR| 23:34| 67 | ERROR| 2 | 611 | Wed | 1199 | 3 | 53 | 9 | 2694 | 45 | 18 |\n| 2025-01-03| 16485| 34 | null | null | 22:21| ERROR| 8 | 7 | 213 | Thu | 1175 | 3 | 43 | 5 | 613 | 35 | 39 |\n| 2025-01-02| 7656 | 21 | ERROR| null | 23:31| 51 | 9 | 1 | 536 | null | 1604 | 12 | 26 | ERROR| 1832 | 45 | 11 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [3029, 31, 44, 61, 12, 568, null, 395, 372, 23:49, 21:27, 22:45, 22:22, 21:14, 87, 64, 77, 1, 7, 1, 8, 4, 3, 838, 264, 719, Fri, 362, 943, null, null, null, 15, 26, 18, null, 8, 1, 7, 1699, 1864, 48, null, 46, 48, 28, 44]. Compute the absolute difference between the mean of column coding_minutes and column exercise_minutes, only looking at the days where the phone screen time minutes was greater than 25 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:092", "request": "I have a table with 28 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-01| 13461| null | 78 | 527 | 21:27| 24 | 1 | 10 | 975 | Wed | 466 | 6 | 4 | 7 | 545 | 35 | null |\n| 2025-01-27| null | null | 15 | 540 | 21:46| 67 | 1 | 3 | 667 | Thu | null | 11 | 13 | 1 | 527 | 38 | 34 |\n| 2025-01-26| 6380 | null | 68 | 589 | 21:31| 15 | 7 | 8 | 334 | Fri | 1724 | 1 | 55 | 7 | 1587 | 44 | 13 |\n| 2025-01-25| 9522 | 67 | 42 | 402 | 22:45| 33 | 7 | 3 | null | Sat | 769 | 7 | 1 | 8 | 2276 | 47 | 29 |\n| 2025-01-24| 4091 | 70 | 81 | 443 | 23:18| 81 | 6 | 1 | null | null | 1440 | 8 | 46 | null | 1351 | 40 | 28 |\n| 2025-01-23| null | 32 | 53 | 413 | 23:53| 57 | 10 | 1 | 850 | Mon | 1388 | 9 | 9 | 7 | 2416 | 13 | 14 |\n| 2025-01-22| 436 | 21 | 100 | 586 | 23:16| 53 | 6 | 1 | 622 | Tue | 1115 | 11 | 16 | 4 | 2609 | 28 | 10 |\n| 2025-01-21| null | 13 | 18 | null | 22:54| 94 | null | 8 | null | Wed | 1733 | 7 | 8 | 7 | 2325 | null | 39 |\n| 2025-01-20| 17257| 90 | 44 | 341 | 21:33| 20 | 8 | 6 | 609 | Thu | 1833 | 7 | 53 | 2 | 1392 | 20 | 13 |\n| 2025-01-19| null | 54 | 21 | 421 | 23:22| 61 | 7 | null | 375 | Fri | null | 4 | 30 | 6 | 1465 | 17 | 27 |\n| 2025-01-18| 3346 | 55 | 92 | 443 | null | 80 | 2 | 6 | 190 | Sat | 1793 | 6 | 63 | 3 | 930 | 47 | 46 |\n| 2025-01-17| 1955 | null | 71 | 444 | 21:24| null | 10 | 10 | 911 | Mon | 1009 | 15 | null | 7 | 1916 | 12 | 10 |\n| 2025-01-16| 10196| 36 | 10 | 372 | null | 71 | 5 | null | 727 | Tue | 1512 | 12 | 26 | 5 | 2366 | 50 | 20 |\n| 2025-01-15| 13208| 53 | 22 | 390 | null | 91 | 3 | 7 | null | Wed | 1116 | 8 | 4 | null | 1578 | 26 | 57 |\n| 2025-01-14| 182 | 20 | null | null | 23:40| 22 | null | 8 | null | Thu | 1990 | 13 | 23 | 5 | 2789 | 35 | 23 |\n| 2025-01-13| 12698| 14 | 100 | null | 21:39| 63 | 8 | 1 | 375 | Fri | 319 | 14 | null | 2 | 1154 | 48 | 29 |\n| 2025-01-12| 8705 | 83 | 27 | 537 | 21:57| 66 | 9 | 10 | 330 | Sat | 992 | 4 | 28 | 4 | 2249 | 22 | 11 |\n| 2025-01-11| 19796| 22 | 48 | 577 | 23:40| null | 1 | 3 | 290 | Sun | null | 12 | 6 | null | 1229 | 43 | 42 |\n| 2025-01-10| 8772 | null | 44 | 379 | 23:50| 31 | 9 | 6 | 426 | null | 1832 | null | 62 | 9 | null | 43 | 49 |\n| 2025-01-09| 14195| 94 | 11 | 522 | 23:54| 88 | 7 | 3 | 928 | Tue | 848 | 12 | 63 | 8 | 788 | null | 42 |\n| 2025-01-08| null | 85 | 100 | 447 | 23:43| 90 | 4 | 9 | 698 | Wed | 1258 | 4 | 59 | 6 | 611 | 37 | 37 |\n| 2025-01-07| 2790 | 15 | 80 | 308 | 21:27| 38 | null | 4 | 112 | Thu | 722 | 9 | 24 | 4 | 2838 | 23 | 40 |\n| 2025-01-06| 8716 | 13 | 40 | 346 | 22:14| 82 | null | 10 | 112 | Fri | 658 | 12 | 9 | 10 | 2969 | 21 | 51 |\n| 2025-01-05| 2672 | 26 | 100 | null | 22:59| 24 | 1 | 5 | 497 | Sat | 586 | 9 | 48 | 10 | 2322 | 27 | 40 |\n| 2025-01-04| 14177| 15 | 11 | 428 | 22:23| 32 | 10 | 4 | 663 | null | 1086 | 6 | null | 4 | 942 | 10 | 35 |\n| 2025-01-03| 17957| 81 | 99 | 434 | 22:25| 79 | 4 | 4 | 203 | null | 310 | 1 | 30 | 1 | 2239 | 45 | 37 |\n| 2025-01-02| 110 | 36 | 81 | 419 | 23:26| 66 | 4 | 9 | 600 | Tue | 1733 | 5 | 11 | 6 | 1922 | 56 | 23 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the sum of column coding_minutes and column phone_screen_time_minutes, only looking at the days where the weekday is Monday and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:094", "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 18529 && 3312| 17 && 24| 19 && 24| 422 && null| 23:47 && 21:36| 98 && null| 3 && 6| 5 && 3| 725 && 898| Mon && Tue| 507 && 1037| null && null| 22 && 8| 10 && 5| 2312 && 2967| 40 && 19| 34 && 59 |\n| 2025-01-25 && 2025-01-24| 6382 && 14855| 20 && 57| 25 && 72| 401 && 480| 21:11 && 22:11| 44 && 42| 10 && 10| 4 && 5| 907 && 838| Wed && Thu| 1279 && 1446| 7 && 5| 16 && 48| 6 && 8| 673 && 1922| 36 && null| 53 && 14 |\n| 2025-01-23 && 2025-01-22| null && 3690| null && 11| 72 && 66| 492 && 444| 23:44 && 22:37| null && 16| null && 5| 6 && 4| 572 && 396| null && Sat| 684 && 1418| 15 && 1| 3 && 47| 7 && 1| 2574 && 1713| null && 39| 15 && 28 |\n| 2025-01-21 && 2025-01-20| 3018 && 15422| 25 && 40| 51 && 25| 403 && 569| 22:30 && 22:50| 94 && 47| 6 && 4| 6 && 7| 748 && 497| Sun && null| 1745 && 1320| 12 && 13| 34 && 13| null && 10| null && null| 12 && 55| 60 && 38 |\n| 2025-01-19 && 2025-01-18| 16853 && 17215| 73 && null| 23 && 97| 457 && 509| 22:26 && 23:53| 86 && 55| null && 8| 8 && 2| 817 && 485| null && Wed| 979 && 1538| 5 && 12| 2 && 37| 2 && 2| 757 && 1522| 14 && 35| 28 && 59 |\n| 2025-01-17 && 2025-01-16| 8244 && null| 46 && 43| 56 && 84| 422 && 313| 22:49 && 22:38| 37 && 42| 4 && 7| 1 && 6| 145 && null| Thu && Fri| 715 && 1063| 1 && 6| 54 && 25| 7 && 2| 2754 && null| 43 && 49| 14 && 16 |\n| 2025-01-15 && 2025-01-14| 3694 && 2770| 75 && 99| 27 && 79| 303 && 500| 21:38 && 22:21| 20 && 20| 3 && 9| 5 && 2| 401 && null| Sat && Sun| 1298 && 856| 9 && 11| 63 && 62| 4 && 7| 551 && 1748| 38 && 50| null && 12 |\n| 2025-01-13 && 2025-01-12| 16282 && 9319| 66 && 25| 68 && 16| 344 && 578| 22:16 && 23:57| 35 && 95| 2 && 1| 3 && 5| null && 239| Mon && null| 344 && null| 9 && 13| 35 && 56| 7 && null| 863 && 2145| 49 && 58| 16 && null |\n| 2025-01-11 && 2025-01-10| 8779 && 9391| 65 && 65| 26 && 50| 358 && 321| 22:20 && null| 97 && 64| 9 && 8| 7 && 6| 977 && 438| Wed && Thu| 1582 && 676| 2 && 11| 7 && 64| 4 && 6| 2706 && 2661| 12 && 55| 21 && 43 |\n| 2025-01-09 && 2025-01-08| 19119 && 11951| null && 96| null && 85| 441 && 463| 21:13 && 23:53| 38 && null| 1 && null| 3 && 8| 131 && 265| Fri && null| null && 1964| 14 && 13| 31 && 1| 5 && 6| 2127 && null| 33 && null| 32 && 20 |\n| 2025-01-07 && 2025-01-06| 9678 && 2472| null && 13| 78 && 39| 511 && 507| 22:59 && 22:41| 98 && 40| null && null| 3 && 1| 259 && 377| Sun && null| 932 && 937| 5 && 2| null && 6| 6 && 3| 1473 && 1498| 52 && 48| 42 && 22 |\n| 2025-01-05 && 2025-01-04| null && 11722| 16 && 34| 33 && 56| 516 && 500| 23:10 && 21:24| 85 && 50| 1 && 6| 10 && 1| null && null| Tue && Wed| 1538 && null| 10 && 8| 56 && 61| 7 && null| 2354 && 1046| 28 && 49| 26 && 48 |\n| 2025-01-03 && 2025-01-02| 2204 && 5103| 71 && 38| 76 && 32| 519 && 307| 23:15 && 22:31| null && 97| 2 && 10| 3 && 3| null && 152| Thu && Fri| 819 && 971| 9 && 6| 54 && 49| null && 7| 2204 && 2291| 37 && 25| 54 && 26 |\n| 2025-01-01 && 2024-12-31| 11096 && 2276| 29 && 71| 37 && 55| null && 316| 22:34 && 22:19| 48 && 67| 4 && 5| 2 && 7| 495 && 389| Sat && Sun| 1359 && 1790| 10 && 13| 8 && 43| null && 6| 1962 && 2982| 10 && 27| 40 && 54 |\n| 2024-12-30 && 2024-12-29| 16496 && 15495| 63 && 31| 87 && 47| 471 && 539| 22:50 && 21:10| null && 13| 3 && 8| 2 && 3| 340 && 412| null && Tue| 827 && 1940| null && 9| 61 && 45| 7 && 4| 2133 && 2799| 27 && 54| 11 && 52 |\n| 2024-12-28 && 2024-12-27| null && 10843| null && 68| 99 && 80| 476 && 318| 22:48 && 22:38| 90 && 54| 4 && 7| 6 && null| 216 && 833| Wed && Thu| 1030 && 1160| 9 && 12| 62 && 9| null && 5| 1984 && 2473| 10 && 16| 17 && 33 |\n| 2024-12-26 && 2024-12-25| 13143 && 11698| 64 && 32| 13 && 70| 590 && 304| 21:30 && 21:33| 11 && 56| null && 10| 7 && null| 876 && 420| Fri && Sat| 783 && 1127| null && 8| 5 && 15| null && 4| 1229 && 1801| 55 && 28| 45 && 46 |\n| 2024-12-24 && null| 6076 && null| 10 && null| 56 && null| 432 && null| 23:13 && null| 65 && null| 10 && null| 2 && null| 494 && null| Sun && null| 1581 && null| 8 && null| 8 && null| 10 && null| 1234 && null| 54 && null| 12 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the median of column study_minutes and column sleep_minutes, only looking at the days where the number of messages was greater than 5 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:097", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-28| 4234 | 50 | 77 | 568 | 22:51| null | 1 | 5 | 380 | null | 484 | 4 | 53 | 8 | 1797 | 31 | 33 |\n| 2025-01-27| 6732 | 19 | 69 | null | 22:13| 100 | null | 5 | 631 | null | 1911 | 5 | 62 | 1 | 800 | 51 | 45 |\n| 2025-01-26| 2461 | 43 | 93 | 397 | 22:56| 53 | null | 2 | 733 | Tue | 1882 | 15 | 52 | 5 | 2882 | 45 | 34 |\n| 2025-01-25| null | 85 | 51 | 329 | 22:25| 44 | 7 | 8 | 623 | Wed | 1439 | 10 | 9 | 10 | 1049 | 51 | 58 |\n| 2025-01-24| 524 | 47 | 38 | 348 | 23:59| 97 | null | 4 | 145 | null | null | 2 | 3 | 9 | null | 45 | 59 |\n| 2025-01-23| 7012 | 77 | 99 | 445 | 22:24| 71 | 7 | 3 | 325 | Fri | 1538 | 9 | 40 | 6 | null | 43 | 11 |\n| 2025-01-22| 19673| null | null | 460 | 23:30| 86 | 7 | 1 | 917 | Sat | 1630 | 11 | 8 | 8 | 2632 | 35 | 18 |\n| 2025-01-21| 15435| null | 48 | 540 | 21:45| 42 | 1 | 7 | null | Sun | 1159 | 9 | 55 | 5 | 2410 | 52 | 32 |\n| 2025-01-20| null | 93 | 55 | 416 | null | 78 | 10 | null | 343 | null | 1899 | 5 | 24 | 10 | 1676 | 27 | 57 |\n| 2025-01-19| 7979 | 88 | 44 | 362 | 22:15| 84 | 5 | null | 219 | Tue | 794 | 4 | 58 | 7 | 2214 | 35 | 32 |\n| 2025-01-18| 5853 | 37 | null | 576 | null | 63 | 6 | null | 827 | Wed | 1139 | 4 | 30 | 4 | 2698 | 21 | 54 |\n| 2025-01-17| null | null | 40 | null | 21:44| 33 | 4 | 5 | 633 | null | 1250 | 5 | 61 | 6 | 1646 | 13 | 56 |\n| 2025-01-16| 16291| 28 | 55 | null | 21:29| 53 | 9 | 9 | null | Tue | 1515 | 12 | 24 | 4 | 2617 | 35 | 23 |\n| 2025-01-15| 19520| 13 | 94 | 375 | 23:47| 70 | 2 | null | 159 | Wed | 904 | 1 | 50 | 7 | 1357 | 58 | 56 |\n| 2025-01-14| 4178 | 61 | 57 | 349 | null | 80 | 6 | 10 | 512 | Thu | 653 | 8 | 31 | 6 | 2259 | 57 | 29 |\n| 2025-01-13| 1556 | 31 | 86 | 489 | 22:51| 65 | 3 | 7 | 819 | Fri | 1944 | 11 | 28 | 6 | 2448 | 56 | 31 |\n| 2025-01-12| 16079| 59 | 24 | 479 | 22:57| null | 7 | 10 | 695 | Sat | 844 | 6 | 16 | 4 | 1639 | 41 | null |\n| 2025-01-11| 2018 | 43 | 23 | 317 | 21:50| 62 | 9 | 4 | 916 | Sun | 525 | 7 | 33 | 7 | 2726 | null | 15 |\n| 2025-01-10| 3136 | 24 | 61 | 557 | 23:56| 76 | 4 | 7 | 337 | Mon | 1671 | 4 | 5 | null | null | 27 | 15 |\n| 2025-01-09| 13978| 57 | 41 | 334 | 21:52| 77 | 3 | 4 | 420 | Tue | 1800 | 4 | null | 9 | 1478 | 16 | 36 |\n| 2025-01-08| 19039| null | null | 392 | 21:12| 40 | 5 | 4 | 254 | Wed | 305 | 10 | 25 | 7 | 2801 | 51 | 35 |\n| 2025-01-07| null | 30 | 31 | 422 | null | 22 | 2 | 2 | 755 | Thu | 1621 | 5 | 20 | 10 | 1913 | 48 | 14 |\n| 2025-01-06| 16283| 86 | 90 | 555 | 22:11| 29 | 10 | 1 | 128 | Fri | 1904 | null | 13 | 6 | null | 48 | 23 |\n| 2025-01-05| 13358| 50 | 20 | 505 | 23:22| 39 | 5 | 3 | null | Sat | 1168 | 3 | 59 | 8 | 1563 | 43 | 59 |\n| 2025-01-04| 2607 | 48 | 56 | 395 | 22:31| 52 | 9 | 6 | 538 | Sun | 1170 | 2 | 41 | null | 2335 | 38 | null |\n| 2025-01-03| 6300 | 29 | 65 | 432 | null | 45 | 7 | null | 533 | Mon | 601 | 10 | 24 | 5 | 536 | 10 | 42 |\n| 2025-01-02| 6278 | 16 | 19 | 523 | 23:38| 31 | 3 | 4 | 534 | Tue | 353 | 7 | 6 | 5 | 1858 | 19 | 53 |\n| 2025-01-01| 18485| null | 75 | 404 | 23:28| 90 | null | 4 | 875 | Wed | 1791 | 1 | 36 | 3 | 2236 | 50 | 11 |\n| 2024-12-31| 1942 | null | 96 | 501 | 21:43| 65 | 6 | 5 | 708 | Thu | 1121 | 9 | 56 | 10 | 736 | 48 | 47 |\n| 2024-12-30| 8106 | 95 | 59 | 304 | 21:19| 59 | 7 | 3 | 879 | Fri | 1972 | 5 | 45 | 7 | 2359 | null | 41 |\n| 2024-12-29| 9792 | 40 | 71 | 575 | 21:42| 46 | null | null | 378 | Sat | 1627 | 6 | null | 2 | 716 | 29 | 45 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the sum of column study_minutes and column sleep_minutes, only looking at the days where the number of calories burned was less than 800 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:100", "request": "I have a table with 36 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 15592, 89, 41, 475, 22:45, null, 3, null, 394, Mon, 1667, null, 56, 9, 1800, 19, 14, 10, 2025-01-26, 6744, 27, 83, 471, 22:52, 21, 9, 10, null, Tue, 1208, 5, 33, 4, 1720, 11, 43, -2, 8, 2025-01-25, 11502, 99, 92, 354, 21:36, 63, 1, 7, 645, Wed, null, 12, 48, 2, 1513, null, 47, -7, -1, 1, 2025-01-24, 12524, 37, 29, 430, 22:24, 99, 2, 9, null, Thu, 1677, 13, 54, 2, 2233, 36, 60, 6, 6, -3, -5, 2025-01-23, 19043, 98, null, 471, 21:32, 61, 4, 6, 818, Fri, 1160, 11, 31, 4, 1811, 31, null, 8, -7, 5, 10, -2, 2025-01-22, 11197, 19, 83, 470, 22:31, 20, 10, 7, 418, Sat, 1812, 5, 60, 8, 1437, null, 15, 2, 7, -7, 8, -8, -8, 2025-01-21, 16605, 76, 41, 563, 23:35, 54, 10, 8, 811, Sun, 894, 7, 39, 1, null, 31, null, -8, 4, 6, 1, -7, -1, -8, 2025-01-20, 18795, 31, 50, 564, 22:49, null, 2, 7, 346, null, 771, 13, 20, 7, null, 43, 13, -10, 6, 1, -6, -10, 6, -3, 8, 2025-01-19, 1392, 58, 21, 443, 23:29, 85, 7, 6, 292, Tue, 704, 3, 19, 1, 764, 26, 44, -10, -7, 4, 9, -9, 9, -9, 7, 1, 2025-01-18, null, 26, 92, 440, 22:10, 49, 8, 3, 174, Wed, 1630, 3, 27, 10, 2487, null, 26, 10, 1, 8, 4, -4, -5, -5, -1, -5, 5, 2025-01-17, 13824, 29, 97, null, 22:32, 62, 9, 3, 728, Thu, 473, 14, 2, 10, 626, 47, 38, 0, 10, -2, -10, 10, 6, -8, 9, -8, 8, 0, 2025-01-16, 7299, null, 25, null, 22:56, 88, 1, 2, null, Fri, 575, 1, 63, 8, 555, 36, 18, 3, 7, 3, -3, -10, -6, 5, -4, 6, 8, -5, 5, 2025-01-15, 16954, null, 19, 409, 21:42, 80, 6, 5, null, Sat, 880, 12, 30, 2, 1130, 16, 48, -6, 4, 2, 0, 4, 6, -2, 4, 9, -5, 4, -5, -9, 2025-01-14, 12092, 95, 28, null, 22:11, null, null, 9, 305, Sun, 599, 10, 49, 6, 1704, 41, 26, -7, 2, 3, 4, -7, 9, 9, 7, 3, 3, -1, -7, -2, 4, 2025-01-13, null, 48, 82, 529, 22:27, 48, 10, 8, 116, null, 300, 15, 10, 10, 2176, 35, 43, -4, 9, -1, 4, 10, 7, 9, -8, -2, 10, -4, 4, -5, -4, -10, 2025-01-12, 2169, 51, 57, 535, 21:56, 70, null, 8, 642, Tue, null, 15, 15, 9, 992, 24, 35, -1, 4, -7, 8, -6, 9, -9, 5, -9, -8, -8, 7, -10, -3, 3, 2, 2025-01-11, 19124, 39, 79, 579, 21:49, 75, 1, 8, 248, Wed, 1676, 1, 15, 9, 1217, 51, 29, -4, 5, 0, 5, -4, -1, -3, -8, 4, -7, 2, 7, -10, 8, -10, 10, -1, 2025-01-10, 19089, 23, 49, 394, 21:26, 15, 9, 3, 480, Thu, 1015, 3, 36, 8, 2785, 46, 60, 8, 8, -9, -6, 8, -2, -2, -10, 4, 9, -8, -3, -6, -3, -6, 6, 0, 10, 2025-01-09, 951, 42, 74, null, 21:31, null, 8, 4, 499, Fri, 1555, 6, 57, 5, 1026, 51, 45, -1, 2, 10, 10, 2, -5, 4, -6, 9, -8, 1, -3, -10, 6, -1, -6, 3, 1, -8, 2025-01-08, null, 83, null, 343, null, 22, 6, 1, 775, Sat, null, 15, null, null, 501, 18, 40, 2, -10, -2, 7, 4, -4, 7, 6, 7, 1, 2, -8, -6, 9, 8, 0, 6, 9, 9, -3, 2025-01-07, 6320, 77, 67, 379, 22:11, 65, 5, 8, 509, null, 912, 4, null, 5, 2107, 22, null, -9, 10, 4, -10, 0, -2, -2, -8, 5, 7, -7, -9, -5, -3, -9, 1, -7, -10, -10, 2, -5, 2025-01-06, 3876, 55, 57, 564, 22:40, 79, 5, 7, 928, Mon, 1661, 15, 26, 8, 1993, 45, 15, -8, 10, -8, 2, 4, 0, 4, -3, 8, 10, -7, -2, 3, 4, 2, 1, -6, 6, 2, 7, 4, -3, 2025-01-05, 5063, 63, 85, 397, 23:51, 27, 2, 9, 529, Tue, 742, 10, 43, 9, 2592, 45, 59, -3, 2, -1, 9, 9, 5, 4, -9, 10, -5, 7, 4, -6, 5, -9, -9, -5, 0, 4, -4, -6, -1, -3, 2025-01-04, 4697, 71, 25, 406, 22:32, 33, 2, 8, 365, Wed, 1541, 11, 49, 10, 819, 13, null, 9, 2, -9, 9, -9, -10, 8, 5, 3, 5, 0, 3, -1, -4, 2, -2, 0, 5, -8, -6, 5, 7, -9, -8, 2025-01-03, 1324, 80, 60, 317, 23:11, null, 5, 6, 173, Thu, 632, 8, 32, 9, 2749, 14, 50, 5, -1, 3, -5, -4, 1, -10, 4, 0, -2, 4, -5, -4, 8, 8, 7, -6, -8, 6, 5, -8, -3, -5, 3, -3, 2025-01-02, 3853, 17, 27, 425, 21:31, 19, 7, 2, 883, Fri, 1216, 15, 53, 7, 1005, 14, 36, 3, 6, 5, 5, -1, 2, -8, 2, -1, 4, -10, -6, 10, 10, -6, 3, -8, 2, -9, 9, 0, 7, 6, 6, -3, 1, 2025-01-01, 15494, 93, 64, 461, 22:59, null, null, 1, 143, Sat, 864, 12, 26, null, 1088, 54, 47, 3, -1, 5, -6, 0, -9, -9, 3, -5, -9, -4, -6, -4, -4, -10, 5, -7, 1, 2, -2, -7, 9, -9, 9, 1, -6, 4, 2024-12-31, 2657, null, 90, null, 23:37, null, null, 2, 783, Sun, 1057, 11, 21, 9, 1938, 20, 18, -2, 8, 2, 2, 4, -2, -3, 9, -7, 9, 9, -1, 9, -8, -1, 5, 9, -7, 8, -7, 5, -5, -3, -2, 7, -6, -10, 9, 2024-12-30, 16314, 40, 29, 465, 21:15, 100, 6, 3, 902, null, 423, 15, 41, 5, 679, 40, 53, -7, 3, 9, -9, 8, -5, -8, -10, -10, -7, -5, 3, -6, 2, 4, -1, -6, -8, -10, 1, -7, -4, -6, 10, -10, -2, 9, -3, 9, 2024-12-29, 8858, 52, null, 341, 22:29, null, 4, 5, 102, Tue, null, 6, null, 2, 1363, 40, 31, -10, -6, 5, -1, -9, 7, 7, 9, -1, -10, -5, 5, 6, 3, -6, -3, -9, -1, 4, -2, -1, -9, -6, 4, -9, -7, 1, 10, -3, 2, 2024-12-28, 13359, 80, 24, 326, 21:38, 22, 3, null, 242, Wed, 1634, 10, 63, 10, 2030, 50, 11, 8, 9, -6, -2, -9, 7, 8, -10, -1, -9, 7, 2, 3, 0, -5, 2, 0, 5, 0, 9, -5, -5, 9, -2, 2, -6, 6, 1, 1, 2, 7, 2024-12-27, 8149, 60, 94, 526, 21:57, 69, 1, 7, 157, Thu, 396, 3, 34, 5, 2370, null, 12, -8, -5, -10, 1, 3, -8, -9, 8, -3, 1, 9, -4, -5, -10, -1, -7, 8, 9, -1, 8, 8, 8, -8, 3, 8, 4, -10, -6, -10, -6, -5, -5, 2024-12-26, 7666, 56, 83, 590, 22:46, 75, 5, 8, 917, Fri, 933, 9, 18, 7, 672, 22, 17, -2, -6, 2, -4, 9, 2, -7, -1, 6, -8, -2, 4, -5, 6, 8, -9, 6, 7, 4, -4, -3, 7, 1, -8, -6, 1, -6, 8, 0, 6, -8, -3, -3, 2024-12-25, 11834, 16, null, 538, 23:40, null, 7, 3, 113, Sat, 374, 12, null, null, 1508, 18, 13, 0, -8, 4, 9, 0, 0, -3, 10, 9, 9, 6, -2, -5, -7, 3, 7, -1, -10, 6, 7, 2, -5, -7, -1, 4, 1, 2, 1, 7, -9, 10, -7, -8, 1, 2024-12-24, null, 13, 80, 367, 21:23, null, 4, 7, 379, Sun, 1090, 4, 2, 3, 2877, 47, 49, -2, 10, -6, -3, 5, 0, -1, -8, 1, -4, 0, -3, 9, -3, 7, 4, 0, 8, -2, 7, -9, 6, -9, -3, 2, -1, -3, -4, -4, 10, 7, 5, -3, 0, 2].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the sum of column sleep_minutes and column music_listening_minutes, only looking at the days where the number of calories burned was less than 800 and the coding minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:107", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 4296, 72, 16, 361, 23:50, 38, null, 4, 864, null, 506, null, 27, null, 1058, 39, 17, 0, 2025-01-26, 3116, 16, 99, 502, 23:11, 18, 6, 6, 855, Tue, 626, 10, 47, 1, 2171, 43, null, -2, -6, 2025-01-25, 8315, 22, 100, 461, 21:15, null, 4, 1, 863, Wed, 1954, 15, 7, 1, 2405, 28, 12, -3, -3, -4, 2025-01-24, null, 90, 87, 465, 22:20, 70, 1, null, 195, Thu, 1296, 1, 41, 5, 785, 17, 35, 10, 1, -7, 2, 2025-01-23, 2070, 33, 29, 571, 21:52, 93, 10, 1, 951, Fri, 1374, 2, 64, 10, 1313, 17, 50, -7, -3, -9, -4, 10, 2025-01-22, null, 69, 51, 551, 22:34, 73, 4, 4, 742, Sat, 1762, 6, 36, 7, 1071, 19, 59, -6, -10, -10, -10, -9, -4, 2025-01-21, 18275, 45, 30, 513, 23:50, 44, 5, 7, 857, Sun, 743, 2, 14, 7, 3000, 42, 60, 7, 9, -6, 5, -3, -2, 2, 2025-01-20, 3178, 89, null, 308, 22:41, 76, null, 1, 626, null, 1613, 15, 59, 10, 1025, 53, null, -6, -4, -7, -8, 0, 8, -10, -1, 2025-01-19, null, 88, 97, 409, 22:49, 79, 8, 10, 310, Tue, 1872, null, 43, 6, 1227, 42, 50, -10, 4, 6, -4, -2, -9, 0, -5, -1, 2025-01-18, 7269, 31, 100, 421, 23:12, 100, 4, 4, 731, Wed, 721, 14, null, 8, 2806, null, 36, 8, -9, -6, 9, -1, 3, -2, -7, -6, 0, 2025-01-17, 12494, 66, 35, 346, 21:15, 81, 10, 9, 152, Thu, 893, 9, null, 6, 856, 54, 24, -5, 8, 9, -2, 7, 0, 5, -3, -5, 4, -9, 2025-01-16, 3716, 84, 63, 351, 22:57, 56, 1, 5, 912, Fri, 714, null, 14, 2, 2166, 43, 23, 2, 1, 8, -2, -10, 10, 5, -8, -9, -4, -2, -5, 2025-01-15, 11130, 33, 14, 318, 21:34, 91, 2, 7, 638, Sat, 864, 4, 11, 10, 2268, 28, 20, 10, 2, 4, 9, 8, 8, -5, 3, 7, -2, -2, 1, 0, 2025-01-14, 11601, 63, null, 526, 22:44, 74, 10, 1, null, Sun, 644, 3, 61, 5, 2400, 53, 11, 4, 7, 5, -9, -9, -9, 0, -5, 5, -6, 6, -7, -3, -3, 2025-01-13, 1066, 34, null, null, 23:59, 95, 3, 10, 879, Mon, 860, 1, 25, 3, 1656, 60, 31, 0, 0, -8, 2, -4, 0, -5, -8, 1, -4, -6, -5, -8, 5, 4, 2025-01-12, 6519, 10, 38, 397, 22:28, null, 5, 3, 959, Tue, null, 12, 31, 3, 1872, 48, 54, -4, -2, -5, 9, 2, 4, -1, -6, -2, -9, -3, 6, -3, 0, 10, 4, 2025-01-11, 8681, 31, 59, null, 22:44, null, 4, 4, 833, Wed, 936, 8, 45, 7, 983, 56, 14, 8, 1, -10, -1, -9, -7, 5, -10, 3, -10, 0, -7, -9, -3, 5, 10, 10, 2025-01-10, 12513, 57, null, 517, 21:21, 32, null, 5, 173, Thu, 1713, 8, 19, 2, 1834, 18, 56, -9, 0, -4, 8, -4, 3, -4, 9, 3, -10, 5, -2, 5, -1, 3, 7, -4, 3, 2025-01-09, 18092, 52, 14, null, 22:51, null, 10, null, 172, Fri, 561, 13, 56, 7, 831, 46, null, -8, -6, -4, 7, -5, 10, 7, 1, 0, 7, -7, 8, -8, -7, 0, 9, 0, -7, 4, 2025-01-08, 5783, 97, 27, 464, 22:35, 87, null, 9, 255, Sat, 477, 8, 53, null, 1081, null, null, 6, 2, -4, 3, 8, 7, -4, -2, -10, 7, 0, 9, -7, 0, -3, -8, 8, 2, -1, 5, 2025-01-07, null, null, 89, 304, 22:35, 45, null, 1, 347, Sun, null, 15, 35, 9, null, 19, 18, -5, -7, -3, 9, 6, -8, 4, 6, -10, -6, 4, -6, -3, 9, 10, -4, 7, 4, -8, -5, -2, 2025-01-06, 9301, 97, 38, 355, 21:39, 16, 6, 3, 625, Mon, 1953, 14, 28, 4, null, 11, 59, -4, -7, -6, 8, -1, -5, 7, 4, 8, 9, -4, 4, 7, 1, 1, 6, -9, -3, 4, -2, 9, 4, 2025-01-05, 16060, null, 65, 432, 23:55, 98, 2, 1, null, Tue, 1889, 13, 58, 3, 918, 16, 44, -4, -8, 0, 1, -2, 7, -4, 7, -1, 7, 5, -6, -7, 1, 6, 4, -10, -1, -1, -8, 9, -9, -2, 2025-01-04, 19571, 64, 65, 422, 21:13, 64, 4, 7, null, Wed, 1391, 14, 42, 9, 2227, 21, 47, -7, -4, -7, -6, -5, -3, 8, 1, -4, 5, 8, -5, 5, 3, -2, 4, -4, 8, 2, 3, -9, 3, -10, 4, 2025-01-03, 6606, 85, 39, 397, 22:40, 87, 8, 3, 812, Thu, 1519, 4, 50, 4, 2438, 47, 37, 0, -10, -10, 2, -3, -3, -8, 10, -9, 2, 7, 7, -8, 3, 1, -8, 9, -8, 8, 3, -1, 7, 8, 9, 1, 2025-01-02, 3791, 47, null, 543, 22:53, 48, 1, 4, 406, Fri, 879, 9, 22, 2, 2187, 50, 18, -8, 5, -5, -2, -4, 8, 8, 6, -3, -10, -10, -9, 0, -3, 2, 6, 9, -6, 9, -4, -5, 10, -1, -6, 2, -6].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the sum of column exercise_minutes and column coding_minutes, only looking at the days where the number of meetings was greater than 2 and the number of tasks completed was greater than 3. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:111", "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-24| 19976| null | 51 | 497 | 23:33| 42 | 3 | 9 | 451 | Thu | 1632 | 10 | 52 | 6 | 1941 | 41 | 45 |\n| 2025-01-27| 13488| 16 | 15 | 575 | 23:55| 93 | 3 | 5 | 729 | Fri | 1183 | 11 | 49 | null | 1383 | 39 | 45 |\n| 2025-01-26| 11541| 77 | 26 | 348 | 21:32| null | 9 | 8 | 377 | Sat | 1100 | 1 | 58 | 3 | 661 | 45 | null |\n| 2025-01-25| 8397 | 22 | 51 | null | 22:24| 53 | 9 | 4 | 797 | Sun | 577 | null | null | 9 | 1743 | 14 | null |\n| 2025-01-24| 11675| 24 | 67 | 585 | 22:15| 32 | 9 | 8 | null | null | 827 | 7 | 13 | 1 | null | 14 | 11 |\n| 2025-01-23| 15645| 79 | 69 | 474 | null | null | 6 | 5 | 459 | Tue | 1135 | 2 | 54 | 3 | 898 | 50 | 50 |\n| 2025-01-22| 2016 | 84 | 55 | 461 | null | 66 | 4 | 6 | 274 | Wed | 1967 | 12 | 10 | 7 | 1186 | 55 | 52 |\n| 2025-01-21| 13404| null | 77 | 311 | 21:33| 81 | 10 | 9 | 583 | Thu | 610 | 4 | 43 | 2 | 1049 | 41 | 28 |\n| 2025-01-20| 6324 | 62 | null | 545 | 22:34| 11 | 6 | null | 389 | Fri | 525 | 10 | 47 | 9 | 2631 | 58 | null |\n| 2025-01-19| 2420 | 78 | null | 506 | 23:58| 77 | 10 | 3 | 313 | Sat | 1583 | 11 | 11 | 9 | null | 25 | 52 |\n| 2025-01-18| 1335 | 96 | 81 | 395 | 21:23| 64 | 9 | 1 | 994 | Sun | 427 | 12 | 49 | 4 | 1062 | 45 | 59 |\n| 2025-01-17| 4303 | 14 | 38 | 371 | 22:45| null | null | 8 | 521 | null | 829 | 8 | 56 | 6 | 2129 | 11 | 25 |\n| 2025-01-16| 6789 | 85 | 26 | 488 | 22:10| 14 | 8 | 9 | 364 | Tue | null | 6 | 51 | 2 | null | 16 | 36 |\n| 2025-01-15| 9255 | 83 | 14 | 330 | 23:10| 83 | 8 | 8 | 720 | Wed | 1571 | 12 | 60 | 5 | null | null | 33 |\n| 2025-01-14| 12087| 67 | 45 | 554 | 23:43| 77 | 4 | 2 | 445 | Thu | 366 | 5 | 9 | 1 | 618 | 42 | 15 |\n| 2025-01-13| 909 | 67 | 99 | 327 | 22:13| 40 | 5 | 9 | 431 | Fri | 1110 | 2 | 9 | 4 | 2098 | 38 | 53 |\n| 2025-01-12| null | 67 | 17 | 579 | 21:32| 100 | 8 | 4 | 908 | Sat | null | 14 | null | 9 | 992 | 39 | 49 |\n| 2025-01-11| 6847 | null | 22 | 367 | 22:17| null | 6 | 1 | 787 | Sun | 413 | 3 | 27 | 7 | 1962 | 48 | 23 |\n| 2025-01-10| 6279 | 67 | 78 | 588 | 22:25| null | 1 | 2 | 727 | Mon | 1627 | 1 | 44 | 5 | null | 34 | 34 |\n| 2025-01-09| 5414 | 70 | 47 | 403 | 23:44| 93 | 8 | 2 | 920 | null | 1417 | 5 | 32 | 2 | 903 | 13 | 46 |\n| 2025-01-08| 19918| 22 | 68 | 555 | 21:19| 51 | null | 6 | 127 | Wed | null | 6 | null | null | 1217 | 34 | 41 |\n| 2025-01-07| 6878 | 31 | 13 | 386 | 23:42| 36 | 3 | 2 | null | null | 1182 | 2 | null | 7 | 2611 | 58 | 32 |\n| 2025-01-06| 10470| 39 | null | 447 | 21:36| 60 | 4 | 10 | 393 | null | 1291 | 13 | 20 | 6 | 504 | 10 | 52 |\n| 2025-01-05| 7208 | null | 36 | 526 | 22:58| 18 | 1 | 4 | 641 | Sat | 1306 | 7 | 26 | 2 | 2537 | 52 | 20 |\n| 2025-01-04| 19210| 48 | 29 | 485 | 23:21| 98 | 7 | 1 | 139 | Sun | null | 5 | 51 | 5 | 2126 | 11 | 16 |\n| 2025-01-03| 11041| 21 | 14 | 501 | 22:15| 38 | 1 | 5 | 324 | null | 591 | 1 | 61 | 3 | 1772 | 41 | 17 |\n| 2025-01-02| 12161| 10 | null | 334 | null | 26 | 5 | 6 | 126 | Tue | 396 | 9 | 46 | 1 | 2165 | 47 | 58 |\n| 2025-01-01| 7637 | 50 | 40 | 544 | 23:50| 34 | null | 3 | 414 | Wed | 1338 | 5 | 63 | 7 | 1660 | 55 | 14 |\n| 2024-12-31| 16874| 89 | 66 | 351 | null | 82 | 2 | null | 987 | Thu | 770 | 15 | 64 | 8 | 2286 | null | 23 |\n| 2024-12-30| 8293 | 10 | 22 | 423 | 23:17| 38 | 2 | 8 | 848 | null | 1675 | 13 | 59 | 3 | 1723 | 11 | 14 |\n| 2024-12-29| 13765| 100 | 45 | 310 | 23:48| 30 | 5 | 8 | 551 | Sat | 413 | 5 | 14 | 10 | 1590 | 15 | 33 |\n| 2024-12-28| null | 47 | 14 | 315 | 23:20| 10 | 3 | 3 | 198 | Sun | null | 11 | 58 | null | 1514 | 43 | 58 |\n| 2024-12-27| 17736| 53 | 32 | 408 | 22:33| 69 | null | 2 | 576 | Mon | 631 | 1 | 24 | 3 | null | 54 | null |\n| 2024-12-26| null | 16 | 29 | 357 | 22:25| 35 | 2 | null | 592 | Tue | 1025 | 9 | 9 | null | 1558 | 28 | 26 |\n| 2024-12-25| 16371| 52 | 54 | 331 | 22:50| 25 | 4 | 1 | 230 | Wed | 800 | 15 | 35 | 8 | 1514 | 13 | 29 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the median of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the number of calories consumed was less than 1800 and the coding minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:112", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 2025-01-27| 19143| 28 | 66 | 593 | 23:45| 80 | 3 | 9 | 120 | Mon | null | 12 | 2 | 2 | 2367 | 49 |\n| 36 | 31 | 2025-01-26| 13898| 26 | 51 | 309 | 23:16| 75 | 5 | 9 | 867 | Tue | 1352 | 5 | null | 7 | 2579 |\n| 2281 | 34 | 55 | 2025-01-25| 999 | 38 | 51 | 543 | 21:28| 75 | 1 | 1 | null | Wed | null | 15 | 50 | 2 |\n| 3 | 1821 | 26 | 27 | 2025-01-24| 5952 | 69 | 38 | 334 | 21:31| 34 | 3 | 6 | 493 | Thu | null | 10 | 62 |\n| 61 | 6 | 626 | 38 | 24 | 2025-01-23| 252 | 88 | 28 | 511 | 23:28| 52 | 9 | null | 519 | Fri | 1407 | 3 |\n| 4 | 31 | 6 | 2560 | null | 14 | 2025-01-22| null | 77 | 45 | 547 | 21:37| null | 3 | 8 | 819 | Sat | 1892 |\n| 702 | 11 | 64 | 5 | 1548 | 53 | null | 2025-01-21| 17832| 43 | null | 600 | 22:10| 65 | 9 | 6 | 563 | Sun |\n| null | 1093 | 9 | 6 | 6 | 2590 | 42 | null | 2025-01-20| 13665| 15 | 17 | 338 | 21:31| 53 | 7 | 2 | 326 |\n| 816 | Tue | null | 10 | 39 | null | null | 57 | 59 | 2025-01-19| null | 86 | 91 | 439 | null | 42 | 8 | null |\n| 6 | 508 | Wed | 978 | 4 | 52 | 10 | 1799 | 18 | 44 | 2025-01-18| 17485| 87 | null | 492 | null | 76 | 7 |\n| 3 | 6 | null | Thu | 1868 | 15 | null | 10 | 1934 | 11 | 58 | 2025-01-17| 6056 | 96 | 10 | null | 23:22| 11 |\n| 79 | 2 | 1 | null | Fri | 888 | 3 | 31 | 2 | 1336 | 59 | null | 2025-01-16| 16937| 85 | 99 | 359 | 23:55 |\n| 23:14| 95 | 5 | 8 | 525 | null | null | 15 | 25 | 2 | 2195 | 34 | null | 2025-01-15| 13752| 94 | 79 | 383 |\n| 329 | 21:21| null | null | 8 | 996 | Sun | 554 | 13 | 8 | null | 781 | 53 | 15 | 2025-01-14| 469 | 19 | null |\n| 92 | 419 | 22:31| null | 1 | 6 | 892 | null | 451 | 6 | 0 | 2 | 2349 | 12 | 34 | 2025-01-13| 9578 | 66 |\n| 57 | 86 | 595 | 22:35| 62 | 1 | 9 | 716 | Tue | 784 | 1 | 65 | 5 | 2963 | 38 | 18 | 2025-01-12| 2080 |\n| 3101 | null | 13 | 380 | 21:41| null | 3 | 1 | 922 | Wed | 1603 | 10 | 33 | 4 | 2492 | 13 | 39 | 2025-01-11 |\n| 2025-01-10| null | 57 | 26 | 554 | 22:59| 52 | 1 | 9 | 983 | Thu | 1898 | 3 | 59 | 5 | 2454 | 11 | null |\n| 32 | 2025-01-09| 11492| 51 | 98 | 511 | 22:41| 90 | 8 | null | 374 | Fri | 840 | 9 | 63 | 7 | 1176 | 47 |\n| 12 | 59 | 2025-01-08| 14431| 11 | 64 | 497 | 21:16| 19 | 8 | 3 | 794 | Sat | 1999 | 14 | 27 | 9 | 2309 |\n| 1988 | 39 | 17 | 2025-01-07| 3514 | null | 100 | 382 | 21:19| null | 2 | 5 | 552 | Sun | 1919 | 12 | 64 | 9 |\n| 7 | 508 | 53 | 33 | 2025-01-06| 12937| 63 | null | 354 | 21:54| 74 | 1 | 2 | 405 | null | 1254 | 4 | 0 |\n| 11 | 4 | 2645 | 35 | 22 | 2025-01-05| 9508 | 36 | 95 | 459 | 23:48| 92 | 8 | 6 | null | Tue | 1461 | 13 |\n| 8 | 22 | 9 | 2209 | 47 | 23 | 2025-01-04| 4642 | 38 | null | 501 | 21:37| null | 3 | 10 | 170 | Wed | 767 |\n| 1190 | 9 | 61 | 6 | null | 25 | 32 | 2025-01-03| 14999| 83 | 94 | 396 | 22:48| 95 | 9 | 3 | 759 | Thu |\n| Fri | 325 | null | 53 | 9 | 1002 | 31 | 57 | 2025-01-02| 11227| 20 | 99 | 566 | 23:21| 67 | 2 | 10 | 768 |\n| 969 | Sat | 1552 | 12 | 33 | 3 | 2740 | null | 27 | 2025-01-01| 19749| 71 | 11 | 425 | 22:31| 16 | 6 | 8 |\n| 7 | 372 | Sun | 1304 | 6 | 47 | 5 | 978 | 17 | 48 | 2024-12-31| 3508 | 97 | 68 | 565 | 22:23| null | 7 |\n| 5 | 4 | 933 | null | 523 | null | 0 | 3 | 1241 | 18 | 30 | 2024-12-30| 18292| 70 | 96 | null | 22:39| 27 |\n| 24 | 9 | 5 | null | Tue | 1307 | 15 | 40 | null | 2555 | 51 | 51 | 2024-12-29| 16859| 63 | 69 | 536 | 21:23 |\n| 21:15| 99 | 9 | 7 | 765 | Wed | 1683 | 10 | 40 | 7 | 2692 | 47 | 53 | 2024-12-28| 8450 | 94 | 100 | 422 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the sum of column sleep_minutes and column music_listening_minutes, only looking at the days where the study minutes was greater than 20 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:116", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| null && 6208| 55 && 21| 76 && 96| null && 408| 23:10 && 21:19| 66 && 23| 6 && 7| 1 && 10| 241 && 175| null && Tue| 1312 && 410| null && 8| 2 && 53| 9 && 4| 2953 && null| 22 && 47| 59 && 34 |\n| 2025-01-25 && 2025-01-24| 17734 && 11159| 11 && 64| 88 && 16| 381 && 530| null && 21:47| 78 && 16| null && 7| null && 3| 349 && 577| Wed && Thu| 830 && 1753| 12 && 11| 55 && 14| 8 && null| 1405 && 1527| 21 && 51| null && 33 |\n| 2025-01-23 && 2025-01-22| 19897 && 12151| 30 && 66| 66 && 78| 485 && 441| 23:29 && null| 11 && 46| 1 && 3| 10 && null| 711 && 886| Fri && Sat| 1331 && 1517| 14 && 12| 42 && 61| 10 && 8| 2544 && 1684| 41 && 26| 54 && 12 |\n| 2025-01-21 && 2025-01-20| null && 18679| 81 && 38| 69 && 66| 434 && 531| 21:41 && null| 97 && 83| 8 && 9| 10 && 3| 183 && 277| Sun && null| 559 && 965| 7 && 6| null && 20| 10 && null| 1357 && 2662| 43 && 35| null && 25 |\n| 2025-01-19 && 2025-01-18| 10979 && 5604| 22 && 97| 31 && 29| 379 && 561| 22:32 && 23:42| 97 && 70| 10 && 6| 10 && 1| 544 && null| Tue && Wed| 330 && 728| 2 && 2| 21 && 46| 2 && 7| 2961 && 2448| 47 && 22| null && 13 |\n| 2025-01-17 && 2025-01-16| 15903 && 11798| 11 && null| 43 && 19| 354 && 472| 23:47 && 23:36| 85 && 69| 5 && 9| 5 && null| 760 && null| Thu && Fri| 1456 && 1159| 7 && 9| 24 && 1| 6 && 9| 1519 && 2098| 36 && null| 59 && 48 |\n| 2025-01-15 && 2025-01-14| 18163 && 11128| 80 && 38| 30 && 72| 394 && 314| 23:44 && null| 72 && 28| 9 && 8| 10 && 1| 308 && 387| Sat && Sun| 666 && 1564| 1 && 1| null && 17| 8 && 6| 1442 && 1490| 52 && 12| 46 && 49 |\n| 2025-01-13 && 2025-01-12| null && 13924| 11 && 30| 98 && 53| 391 && 578| 22:29 && null| 50 && 52| 4 && 10| 9 && 2| 585 && 283| Mon && Tue| 1102 && 496| 11 && 11| 56 && 56| 7 && 10| 1357 && 1928| 43 && 32| 37 && 27 |\n| 2025-01-11 && 2025-01-10| 1457 && 14645| 38 && 43| 43 && 21| 352 && 301| 22:25 && 23:14| null && 87| 6 && 4| 5 && 2| 746 && 174| Wed && Thu| 914 && 1350| 5 && 11| 39 && 40| 1 && 7| 2583 && 2865| 16 && 28| 53 && 55 |\n| 2025-01-09 && 2025-01-08| 13442 && 3645| 55 && 85| 30 && 33| 521 && 555| 21:26 && 22:41| 77 && 68| 6 && 8| 1 && 7| null && 945| Fri && Sat| 1584 && 535| 9 && 8| null && 7| 5 && 2| 2586 && 853| 52 && 37| 30 && 25 |\n| 2025-01-07 && 2025-01-06| null && 5930| 25 && 88| 11 && 29| 405 && 335| null && 21:38| 14 && 66| 6 && 5| 10 && 2| 566 && 516| Sun && null| 1580 && 326| null && 6| 59 && 58| 9 && 2| 1524 && 543| 30 && 37| 36 && 16 |\n| 2025-01-05 && 2025-01-04| 6715 && 10342| 56 && 95| null && 42| 445 && 493| 23:31 && 23:10| 56 && 15| 2 && 5| 8 && 10| 147 && 523| Tue && null| 1982 && null| 13 && 2| 28 && 62| 9 && 2| null && 1699| null && null| 56 && 37 |\n| 2025-01-03 && 2025-01-02| 19639 && 4167| 72 && 79| 63 && 42| 333 && null| null && 21:24| 56 && 76| 6 && 4| 5 && null| 392 && 733| null && Fri| 1749 && 1219| 6 && 7| 53 && 10| 1 && 3| 1913 && 2243| 41 && 53| 11 && 40 |\n| 2025-01-01 && 2024-12-31| 19229 && 13841| 48 && 29| 66 && 33| 507 && 412| 22:51 && 21:10| 50 && 13| 9 && null| 8 && null| 210 && null| Sat && Sun| null && 1117| 12 && 12| 60 && 64| 10 && 10| 2669 && null| 26 && null| 15 && 34 |\n| 2024-12-30 && 2024-12-29| 14404 && 12462| 20 && 27| 77 && 53| null && 578| 22:40 && 21:46| 34 && null| 3 && 1| null && 4| 683 && 554| null && Tue| 990 && 1537| 8 && 12| 36 && 26| 9 && 7| 1550 && null| 32 && 56| 45 && 19 |\n| 2024-12-28 && 2024-12-27| 17397 && 7301| 13 && 44| 44 && 44| 362 && 376| 23:16 && null| 35 && 39| 5 && null| 1 && 5| 965 && 673| null && Thu| 372 && 1749| 6 && 11| 20 && 43| 2 && 5| 2113 && 1323| 51 && 48| 40 && 22 |\n| 2024-12-26 && 2024-12-25| 8745 && 4776| 45 && 86| 16 && 64| 479 && null| 21:36 && 22:50| 59 && 49| 3 && 7| 9 && 3| 931 && 477| Fri && Sat| 1635 && 1434| 13 && 15| null && 15| 1 && 10| 1490 && 1435| 51 && 31| null && 24 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the mean of column music_listening_minutes and column sleep_minutes, only looking at the days where the bed time was between 22:00 and 22:59 (inclusive) and the number of emails was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:121", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 5524, 18992, 1944, 16280, 18142, 13129, 17922, 14948, 5152, 11746, 2655, 3863, 1737, 15577, 11417, 19546, 494, 7216, 7511, 9421, 18606, 3376, 6521, study_minutes, 53, 22, 42, 46, 97, 71, 83, 55, 67, 68, 83, 13, 51, 25, 72, 85, 28, 16, 36, 92, 15, 68, 22, 97, exercise_minutes, 63, 84, 97, 23, 89, 93, 88, 98, 53, 81, 31, 49, 73, 34, 23, 87, 19, 77, 85, 21, 57, 64, 71, 89, sleep_minutes, 540, 522, 448, 477, 581, 408, 384, 400, 357, 536, 488, 524, 415, 355, 372, 359, 331, 495, 546, 559, 459, 404, 374, 543, bed_time, 23:58, 21:41, 22:16, 21:23, 22:58, 21:23, 22:50, 23:12, 23:20, 21:27, 21:55, 21:10, 23:40, 23:21, 23:33, 23:59, 21:54, 21:19, 21:25, 21:56, 21:26, 23:19, 21:16, 22:21, num_messages, 59, 87, 25, 27, 31, 11, 40, 89, 87, 86, 78, 63, 54, 56, 43, 59, 58, 21, 73, 71, 19, 58, 23, num_emails, 7, 2, 3, 3, 8, 6, 4, 2, 1, 6, 2, 2, 2, 4, 6, 4, 1, 3, 5, 4, 7, 7, num_calls, 6, 2, 2, 2, 2, 9, 8, 5, 9, 3, 6, 10, 9, 7, 1, 2, 5, 10, 4, 4, 4, 3, 5, calories_burned, 572, 774, 284, 144, 445, 630, 653, 958, 230, 999, 923, 512, 669, 750, 656, 529, 664, 663, 154, 948, 739, 396, weekday, Mon, Tue, Wed, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, calories_consumed, 1058, 484, 1580, 1898, 1281, 975, 899, 1556, 1595, 514, 1140, 800, 1421, 1105, 1253, 1146, 1683, 386, 1004, 1533, 1661, 999, 1406, num_meetings, 2, 7, 5, 2, 14, 12, 8, 6, 10, 15, 7, 5, 14, 12, 14, 11, 8, 10, 1, coding_minutes, 12, 37, 16, 41, 49, 29, 3, 58, 1, 36, 0, 0, 41, 47, 9, 55, 44, 29, 52, 51, 58, num_tasks_completed, 4, 2, 9, 10, 5, 5, 9, 4, 3, 5, 4, 10, 9, 9, 3, 2, 6, 6, 5, water_intake_ml, 2202, 2564, 1463, 1789, 768, 1345, 800, 2425, 1334, 505, 907, 1620, 866, 2409, 1738, 1403, 1819, 1490, 2457, 734, 2184, 732, 1115, 1447, phone_screen_time_minutes, 49, 28, 32, 50, 36, 26, 58, 21, 34, 58, 40, 38, 33, 48, 40, 39, 29, 14, 52, 53, 52, music_listening_minutes, 33, 22, 41, 51, 37, 45, 56, 59, 26, 22, 25, 52, 26, 37, 28, 41, 29, 38, 35, 29, 55, 60].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(6, 12), (20, 14), (21, 13), (12, 16), (4, 12), (5, 1), (14, 10), (17, 6), (9, 14), (8, 12), (11, 14), (7, 7), (7, 16), (6, 14), (23, 9), (23, 12), (3, 6), (23, 15), (5, 9), (8, 5), (19, 11), (11, 16), (6, 1), (11, 13), (24, 13), (15, 10), (15, 16), (16, 12), (18, 12), (20, 3), (20, 9), (21, 14), (21, 17), (12, 8), (23, 14), (4, 10), (14, 8), (17, 7), (19, 7), (5, 17), (10, 13), (7, 2), (21, 4), (16, 11), (16, 17)]. Compute the absolute difference between the median of column exercise_minutes and column music_listening_minutes, only looking at the days where the number of meetings was greater than 2 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:124", "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 7242 && 4584| 75 && 22| 67 && 20| 400 && 341| 22:50 && 23:11| 36 && 53| null && 7| 10 && 3| 560 && 929| null && Tue| 683 && 1558| 10 && 6| null && 43| 8 && 8| 1390 && 1127| 36 && 50| 41 && 22 |\n| 2025-01-25 && 2025-01-24| 15411 && 4541| 34 && 74| null && 73| 442 && 491| null && 22:58| 71 && 14| 10 && 2| 3 && 10| 541 && null| Wed && Thu| 600 && 913| 8 && null| null && 16| 8 && 8| 2923 && 2455| null && 19| 25 && 30 |\n| 2025-01-23 && 2025-01-22| 17571 && 5007| 36 && 73| 79 && 93| null && 309| 21:51 && 21:21| 15 && 58| 1 && 3| 3 && 9| 421 && 613| Fri && Sat| 1978 && 998| 7 && null| null && 19| 4 && 3| 2310 && 714| 21 && 54| 31 && 49 |\n| 2025-01-21 && 2025-01-20| 17980 && 6749| null && 28| null && 86| null && 522| 21:35 && 22:45| 63 && 99| 1 && 9| 6 && 5| 1000 && 311| Sun && Mon| null && 779| 13 && 13| 55 && 9| 6 && 2| 915 && 2845| 32 && 25| 47 && 53 |\n| 2025-01-19 && 2025-01-18| 16130 && 8825| 30 && 79| 71 && 78| 383 && 434| 21:28 && 23:15| 61 && null| 8 && 9| 8 && 8| 173 && null| Tue && Wed| 568 && 865| 9 && 5| 44 && 43| null && 4| 516 && 1095| 32 && 18| null && 17 |\n| 2025-01-17 && 2025-01-16| 17980 && 1572| 83 && 99| 10 && 70| 311 && 474| null && 22:11| null && 20| 9 && 10| 9 && 1| 410 && 961| Thu && Fri| 1778 && 649| 13 && null| 41 && 47| 4 && 4| 1466 && 2368| null && 22| 13 && 37 |\n| 2025-01-15 && 2025-01-14| 1052 && 18019| 39 && 64| 45 && 47| 383 && 319| 22:28 && 22:22| 25 && 68| 8 && 4| 5 && 10| 574 && null| Sat && null| 663 && 952| 1 && 5| 46 && null| 5 && 4| 2325 && 1912| 19 && 12| null && 33 |\n| 2025-01-13 && 2025-01-12| 2135 && 3834| 72 && 85| 16 && 57| null && 354| 21:58 && 21:40| null && 18| 1 && 1| 2 && 5| 195 && null| null && Tue| 1749 && 1354| 1 && 10| 2 && 34| 2 && 10| 2876 && 2372| 20 && 36| 53 && 12 |\n| 2025-01-11 && 2025-01-10| 11540 && 5741| 89 && 16| 16 && null| 509 && 470| 23:20 && 23:43| null && 59| null && 10| 2 && 5| 891 && 861| Wed && Thu| 806 && 1815| 15 && 4| null && 20| 10 && 6| 2366 && 2673| 15 && 40| 52 && 13 |\n| 2025-01-09 && 2025-01-08| 2090 && 19027| null && 21| 92 && 50| 327 && 416| 21:58 && 23:41| 89 && 27| 8 && 9| 5 && 3| 722 && 115| Fri && null| 1593 && 1687| 13 && 5| 17 && 22| 8 && 10| 1002 && 2833| 47 && 32| 10 && 60 |\n| 2025-01-07 && 2025-01-06| 12709 && null| 26 && 55| 10 && 78| 486 && 599| 21:15 && 22:58| 50 && 46| 5 && 10| 3 && 6| 564 && null| Sun && null| null && 1037| 9 && 12| 43 && 4| 8 && 8| 1490 && 934| 26 && 31| 44 && null |\n| 2025-01-05 && 2025-01-04| null && 15767| 31 && 92| 32 && 65| 316 && 468| 22:18 && 21:16| 77 && 49| 5 && 7| 8 && 1| 645 && 749| Tue && Wed| 1440 && 1034| 8 && 8| 65 && 53| 5 && 2| null && 1624| 47 && null| 58 && 46 |\n| 2025-01-03 && 2025-01-02| 19967 && 7800| 51 && 69| 49 && 24| 550 && 576| 22:29 && 21:48| 13 && 67| 10 && 9| null && 10| 969 && 495| Thu && null| 480 && 1613| 3 && null| 39 && 16| 1 && 6| 1065 && 2235| null && 56| 27 && 35 |\n| 2025-01-01 && 2024-12-31| 1317 && 18916| 35 && 87| 55 && 43| 401 && 557| 22:35 && 22:49| 96 && 78| 7 && 2| 3 && null| null && 581| Sat && Sun| 1005 && 1636| 1 && 10| null && 17| 10 && 6| 2475 && 2380| null && 44| 12 && 27 |\n| 2024-12-30 && 2024-12-29| 14563 && 16290| 82 && 84| 17 && 89| 501 && 581| 21:26 && 21:10| 72 && 97| 2 && 5| null && null| 428 && 236| null && Tue| 1670 && 652| 1 && 12| 35 && 53| 6 && 4| 884 && 627| 47 && 24| 42 && 24 |\n| 2024-12-28 && 2024-12-27| 12432 && 4406| 19 && 11| 76 && 25| 535 && 387| 23:27 && 21:16| 12 && 36| 3 && 1| null && 10| 263 && 238| Wed && Thu| 1308 && null| 15 && 8| 18 && null| 6 && 7| 1730 && 2570| 54 && 19| 55 && 54 |\n| 2024-12-26 && 2024-12-25| null && 16262| 20 && 86| 67 && 71| 586 && 577| 22:40 && 21:53| 25 && 26| 8 && 4| 9 && null| 737 && 842| Fri && Sat| 920 && 911| 10 && 7| 21 && 53| 4 && 7| 2943 && 1446| 50 && 53| 37 && 32 |\n| 2024-12-24 && null| 2869 && null| 47 && null| null && null| 554 && null| 21:14 && null| 77 && null| 1 && null| 2 && null| 493 && null| Sun && null| 960 && null| 14 && null| 32 && null| 3 && null| 1916 && null| 41 && null| 33 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the stdev of column sleep_minutes and column music_listening_minutes, only looking at the days where the study minutes was greater than 20 and the water intake was less than 2500 ml. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:130", "request": "I have a table with 35 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, 2024-12-27, 2024-12-26, 2024-12-25, num_steps, 8124, 8210, 15423, 19596, 14881, 125, 5276, 9949, 246, 3748, 3085, 9122, 10594, 5801, 14308, 15821, 19309, 3019, 13146, 211, 1303, 16414, 7329, 1765, 2280, 3132, 17976, 16576, study_minutes, 73, 67, 95, 21, 63, 17, 11, 60, 16, 39, 71, 63, 81, 90, 44, 19, 51, 70, 71, 76, 80, 12, 31, 98, 80, 53, 87, 24, 51, 11, 34, 32, exercise_minutes, 54, 37, 90, 39, 31, 20, 55, 100, 59, 25, 60, 41, 39, 84, 56, 92, 22, 76, 92, 98, 44, 22, 90, 23, 55, 44, 21, 35, 96, sleep_minutes, 452, 405, 547, 404, 541, 427, 410, 318, 527, 402, 538, 575, 417, 521, 489, 317, 557, 481, 468, 562, 346, 449, 431, 481, 552, 561, 483, 593, 497, 345, bed_time, 23:47, 23:47, 22:10, 21:49, 22:34, 23:32, 21:53, 21:36, 23:27, 21:22, 23:24, 21:47, 23:29, 21:24, 22:55, 21:16, 21:39, 21:33, 22:56, 23:15, 23:23, 21:33, 22:53, 21:10, 22:23, 22:56, 21:35, 23:52, 22:56, 23:43, 22:22, 21:39, 22:51, num_messages, 80, 30, 68, 68, 96, 80, 74, 88, 27, 22, 98, 71, 86, 25, 65, 18, 17, 23, 12, 48, 58, 80, 62, 56, 63, 72, 31, 56, num_emails, 8, 1, 3, 10, 5, 7, 3, 6, 9, 4, 2, 3, 10, 6, 1, 10, 1, 4, 10, 5, 8, 3, 2, 2, 3, 7, 8, 6, 10, 7, 4, 3, num_calls, 6, 7, 4, 5, 5, 5, 9, 1, 5, 5, 4, 4, 8, 5, 2, 9, 7, 4, 8, 8, 5, 2, 8, 9, 4, calories_burned, 881, 993, 846, 316, 467, 740, 362, 339, 534, 564, 682, 586, 534, 266, 255, 885, 416, 449, 875, 650, 553, 227, 308, 616, 868, 326, 836, 198, 729, 538, 950, weekday, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Fri, Sat, Sun, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Fri, Sun, Tue, Wed, Thu, Fri, Sat, calories_consumed, 1945, 337, 1910, 1374, 1095, 1678, 1183, 1373, 1760, 1005, 1580, 1619, 1617, 1561, 522, 1481, 506, 1799, 1130, 1794, 487, 794, 1788, 1778, 947, 309, 1248, 1444, 300, 485, 1317, num_meetings, 3, 8, 13, 11, 6, 3, 4, 9, 11, 10, 15, 8, 9, 10, 3, 2, 14, 5, 12, 5, 10, 15, 6, 2, 11, 5, 12, 9, 3, 3, coding_minutes, 38, 14, 8, 33, 27, 59, 1, 19, 24, 55, 16, 9, 41, 59, 54, 15, 61, 39, 46, 37, 24, 21, 26, 47, 2, 4, 51, 7, 39, 45, 18, num_tasks_completed, 8, 4, 2, 2, 4, 2, 8, 1, 1, 8, 9, 4, 7, 7, 8, 6, 3, 4, 6, 7, 4, 6, 6, 5, 10, 10, 10, 8, 4, 2, 3, 3, water_intake_ml, 1734, 1830, 1608, 643, 2809, 2135, 1843, 1257, 922, 2643, 1743, 707, 1018, 1843, 1606, 2919, 1470, 2104, 1889, 1782, 1041, 826, 2954, 1904, 579, 1926, 1282, 601, 2478, 1573, 2850, 2532, 2061, phone_screen_time_minutes, 15, 60, 55, 15, 47, 28, 24, 25, 35, 42, 17, 47, 58, 16, 53, 42, 49, 50, 23, 43, 33, 27, 33, 40, 30, 45, 19, 43, 54, 34, 52, music_listening_minutes, 38, 39, 45, 31, 53, 24, 23, 33, 54, 58, 13, 26, 49, 52, 50, 20, 41, 36, 59, 44, 24, 45, 35, 18, 55, 50, 47, 56, 31, 60, 20, 29].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(12, 4), (6, 12), (20, 8), (12, 7), (4, 6), (5, 1), (22, 17), (17, 6), (27, 10), (9, 11), (25, 1), (33, 8), (26, 2), (25, 10), (13, 8), (13, 14), (7, 4), (18, 16), (29, 10), (29, 13), (12, 6), (14, 3), (14, 9), (18, 8), (3, 6), (5, 3), (27, 3), (27, 9), (17, 5), (14, 15), (9, 16), (26, 1), (25, 3), (10, 8), (32, 8), (11, 10), (24, 13), (15, 10), (20, 6), (20, 12), (14, 2), (34, 8), (22, 12), (17, 4), (14, 8), (3, 8), (5, 11), (27, 11), (28, 1), (8, 1), (3, 17), (10, 4), (28, 13), (11, 9), (10, 7), (24, 6), (8, 10), (25, 14), (13, 12), (1, 16), (6, 3), (21, 1)]. Compute the absolute difference between the stdev of column music_listening_minutes and column phone_screen_time_minutes, only looking at the days where the study minutes was greater than 20 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:131", "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 14662| 78 | 88 | 316 | 22:20| ERROR| 10 | 4 | ERROR| Mon | 953 | 4 | ERROR| 2 | 813 | 57 | 13 |\n| 2025-01-26| 14921| 31 | 70 | 383 | 22:11| 12 | 9 | 10 | 791 | Tue | ERROR| 13 | ERROR| 6 | 2443 | 45 | 37 |\n| 2025-01-25| 13452| 13 | 18 | null | 22:36| 32 | 4 | 7 | 668 | Wed | 1121 | ERROR| 54 | 4 | 950 | 46 | ERROR |\n| 2025-01-24| 16963| 60 | 28 | null | ERROR| 37 | 8 | null | 292 | null | 432 | null | 61 | 1 | 2892 | 26 | 38 |\n| 2025-01-23| 6601 | 95 | ERROR| 344 | 21:19| ERROR| 9 | ERROR| 630 | ERROR| 979 | 11 | 46 | 4 | 988 | 40 | 46 |\n| 2025-01-22| 12049| 62 | 75 | 440 | 21:20| 68 | 4 | 7 | null | Sat | null | 10 | 10 | ERROR| 1425 | null | 23 |\n| 2025-01-21| 4730 | 68 | 76 | 525 | 23:23| 19 | 3 | 3 | 663 | Sun | 601 | null | null | 10 | ERROR| 39 | 49 |\n| 2025-01-20| 13059| 24 | 62 | 490 | 23:50| null | 4 | 9 | 249 | null | null | 7 | 31 | 5 | 887 | 59 | 40 |\n| 2025-01-19| 17458| 13 | 11 | 320 | 21:12| null | ERROR| null | 240 | Tue | 1727 | 5 | null | 8 | 804 | 39 | null |\n| 2025-01-18| 19541| 34 | 57 | 483 | 22:38| 30 | 8 | 10 | 148 | Wed | 1717 | 10 | null | 4 | 862 | 49 | 23 |\n| 2025-01-17| ERROR| ERROR| 42 | 424 | 21:14| ERROR| 10 | 5 | 595 | Thu | 712 | ERROR| null | 2 | 1597 | ERROR| ERROR |\n| 2025-01-16| 10244| ERROR| 91 | 403 | 21:39| 36 | 10 | 3 | 875 | Fri | 1870 | null | null | 6 | 552 | 33 | 60 |\n| 2025-01-15| 14790| 48 | 95 | 327 | ERROR| 69 | 7 | null | 730 | null | ERROR| null | 49 | ERROR| 2048 | 43 | 29 |\n| 2025-01-14| ERROR| 38 | 66 | 526 | ERROR| 11 | 10 | 9 | 926 | null | 412 | 4 | 4 | 8 | 2929 | 27 | 21 |\n| 2025-01-13| 11060| ERROR| 53 | 430 | 23:19| 12 | 2 | 1 | 363 | null | 757 | 11 | null | 1 | 944 | 15 | 46 |\n| 2025-01-12| 15101| 92 | 51 | null | 22:14| null | 3 | 2 | 807 | Tue | 383 | null | 35 | ERROR| 1228 | 37 | 13 |\n| 2025-01-11| ERROR| 88 | 74 | 454 | 22:52| 10 | 1 | null | 798 | Wed | 668 | 6 | null | 1 | 670 | 37 | ERROR |\n| 2025-01-10| 3958 | 81 | 82 | 391 | null | 59 | 6 | 10 | null | Thu | 1481 | 1 | 10 | 5 | 2297 | 49 | 58 |\n| 2025-01-09| 19058| 52 | ERROR| 360 | 21:31| 87 | 5 | 8 | 891 | Fri | 1711 | 9 | null | 6 | 967 | 49 | 33 |\n| ERROR| null | 71 | 37 | 312 | 23:18| null | 10 | null | 455 | ERROR| 1687 | 11 | 8 | 4 | 1057 | ERROR| 17 |\n| 2025-01-07| 17048| 85 | ERROR| 529 | ERROR| 82 | 7 | 5 | 646 | Sun | 1383 | 15 | ERROR| 3 | 1427 | 44 | 42 |\n| 2025-01-06| 1898 | 95 | 83 | 324 | 23:27| 99 | 3 | 9 | ERROR| Mon | 652 | 11 | 64 | ERROR| 2260 | 29 | 58 |\n| 2025-01-05| 7887 | 34 | null | 434 | 21:34| 44 | ERROR| ERROR| 224 | ERROR| 1591 | 10 | 57 | 1 | 2573 | 14 | null |\n| 2025-01-04| 3205 | 33 | 54 | ERROR| ERROR| 14 | 9 | 10 | 875 | Wed | 1803 | ERROR| 27 | null | 1273 | 13 | 60 |\n| 2025-01-03| 19119| 73 | 93 | 522 | 22:56| 15 | 6 | 9 | 108 | Thu | 862 | 11 | 55 | 1 | 748 | 55 | 38 |\n| 2025-01-02| 527 | 90 | 30 | 381 | 21:45| ERROR| 7 | 5 | 607 | Fri | 1078 | 1 | ERROR| 4 | 871 | null | null |\n| 2025-01-01| ERROR| 61 | 63 | 482 | 21:44| 69 | 1 | 1 | 900 | Sat | 1380 | 13 | 32 | ERROR| 2182 | 40 | 37 |\n| 2024-12-31| 17750| 54 | 52 | 439 | 23:34| 14 | 9 | 2 | 122 | Sun | ERROR| 11 | 52 | null | 1645 | 15 | 22 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [38, 399, 56, 806, 17, 1, 51, 21:10, null, 85, 4, Fri, 7, null, null, 15203, 90, null, 2, 16, 21, null, 22:32, 1946, 3, 14441, 21:51, null, 2, 16464, 39, 52, 2025-01-08, Sat, 20, 68, 22:54, 23, 733, 5, 10, 4, Tue, 517, null, 5, 70, 3, 5566, 7, 1114]. Compute the absolute difference between the mean of column coding_minutes and column phone_screen_time_minutes, only looking at the days where the number of emails was greater than 2 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:134", "request": "I have a table with 34 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 10513, 40, 21:58, 97, 2, 10, 760, Mon, 1290, 12, 13, 8, 37, 49, 2025-01-26, 7841, 67, 100, 559, 22:24, 1, 7, 670, 626, 2, 39, 1, 1262, 2025-01-25, 6073, 72, 27, 568, 23:33, 74, 4, 5, 209, 11, 40, 9, 2016, 23, 54, 2025-01-24, 19552, 79, 36, 5, 8, 459, Thu, 338, 2, 39, 3, 2492, 40, 19, 2025-01-23, 3697, 42, 69, 23:41, 48, 10, 6, 179, Fri, 865, 7, 6, 4, 2424, 31, 33, 2025-01-22, 15800, 74, 43, 596, 23:49, 24, 2, 2, 554, Sat, 1043, 6, 10, 583, 31, 47, 2025-01-21, 61, 59, 347, 19, 1, 3, 514, Sun, 321, 7, 44, 5, 1318, 25, 48, 2025-01-20, 12286, 83, 97, 374, 23:55, 27, 5, 2, 177, Mon, 1508, 6, 16, 6, 763, 59, 21, 2025-01-19, 11784, 59, 86, 469, 23:52, 66, 3, 8, 555, Tue, 578, 9, 8, 869, 37, 57, 2025-01-18, 16877, 21, 38, 383, 23:57, 54, 3, 9, 165, Wed, 1798, 9, 60, 7, 11, 44, 2025-01-17, 12383, 61, 100, 374, 23:59, 7, 3, 305, Thu, 1640, 12, 17, 1, 1177, 58, 25, 2025-01-16, 19356, 80, 85, 23:39, 96, 5, 5, 303, Fri, 1697, 5, 11, 22, 57, 2025-01-15, 4627, 16, 11, 500, 22:36, 14, 5, 987, Sat, 1432, 11, 41, 8, 2561, 48, 2025-01-14, 38, 68, 353, 21:34, 59, 9, 3, 649, Sun, 1108, 10, 7, 2643, 42, 2025-01-13, 12985, 41, 48, 476, 5, 1, 671, 896, 54, 3, 2980, 35, 37, 2025-01-12, 10894, 57, 581, 23:21, 17, 6, 5, 101, 10, 51, 4, 2229, 48, 17, 2025-01-11, 16447, 12, 54, 421, 23:25, 83, 4, 927, Wed, 386, 8, 32, 4, 1086, 58, 20, 2025-01-10, 11517, 64, 11, 460, 23:57, 84, 7, 10, 884, Thu, 891, 2, 19, 9, 1204, 33, 49, 2025-01-09, 4811, 67, 444, 17, 5, 3, 539, Fri, 1240, 12, 9, 1, 524, 21, 31, 2025-01-08, 4068, 83, 10, 342, 21:54, 47, 8, 9, 358, Sat, 1985, 17, 10, 2445, 60, 55, 2025-01-07, 14258, 99, 39, 396, 52, 1, 4, 348, Sun, 1914, 8, 6, 544, 34, 45, 2025-01-06, 7027, 38, 48, 507, 23:27, 72, 1, 1, 910, 1822, 6, 55, 9, 1585, 49, 57, 2025-01-05, 86, 27, 461, 23:20, 15, 8, 512, Tue, 13, 46, 3, 2077, 53, 11, 2025-01-04, 5166, 62, 537, 21:31, 15, 3, 3, 198, Wed, 5, 24, 2, 1951, 31, 56, 2025-01-03, 16877, 83, 59, 23:19, 69, 10, 8, 446, Thu, 1832, 3, 31, 6, 2740, 17, 55, 2025-01-02, 19049, 38, 75, 72, 4, 4, 305, Fri, 1839, 14, 5, 1088, 48, 16, 2025-01-01, 16846, 67, 473, 23:33, 42, 1, 10, 152, Sat, 1769, 11, 37, 5, 2951, 41, 53, 2024-12-31, 12678, 58, 515, 22:43, 8, 8, 624, Sun, 1959, 38, 1, 2029, 32, 43, 2024-12-30, 4488, 31, 96, 382, 72, 2, 1, 397, Mon, 1802, 8, 9, 4, 37, 38, 2024-12-29, 17712, 83, 80, 22:16, 83, 8, 5, 897, Tue, 1905, 14, 2, 1, 2042, 60, 45, 2024-12-28, 493, 42, 67, 571, 23:53, 83, 2, 6, 508, Wed, 1609, 7, 65, 7, 924, 52, 2024-12-27, 9243, 65, 37, 563, 21:40, 51, 7, 6, 221, Thu, 335, 2, 6, 1, 2181, 43, 44, 2024-12-26, 16294, 92, 40, 413, 22:31, 76, 4, 2, 827, Fri, 1532, 14, 27, 2037, 31].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(12, 4), (23, 1), (23, 7), (14, 1), (31, 17), (5, 4), (4, 6), (28, 3), (3, 10), (14, 13), (28, 12), (19, 3), (28, 6), (9, 14), (33, 14), (1, 3), (25, 4), (24, 11), (33, 17), (10, 15), (15, 5), (26, 5), (7, 1), (16, 10), (2, 17), (13, 17), (1, 15), (21, 12), (4, 5), (22, 10), (12, 15), (27, 3), (17, 8), (19, 5), (13, 7), (26, 4), (16, 3), (2, 16), (2, 10), (26, 13), (15, 10), (6, 13), (29, 5), (21, 5), (29, 15), (23, 11), (20, 12), (12, 14), (3, 11), (4, 4), (30, 4), (14, 17), (1, 4), (11, 6), (24, 3), (15, 6), (2, 6), (7, 5), (15, 12), (16, 11)]. Compute the absolute difference between the stdev of column exercise_minutes and column music_listening_minutes, only looking at the days where the phone screen time minutes was greater than 25 and the number of meetings was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:138", "request": "I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 2354 && null| 72 && 11| 65 && 48| 456 && 326| 22:14 && 21:31| 80 && null| 8 && 7| 1 && 3| 364 && 168| null && Tue| null && 775| 8 && 9| 51 && 63| 1 && 8| 2947 && 1227| 52 && 25| 45 && 59 |\n| 2025-01-25 && 2025-01-24| 15600 && 12928| 68 && 32| 47 && 48| 301 && 452| 22:24 && 21:55| 53 && 30| 3 && 7| 2 && 6| 381 && 196| Wed && Thu| 1132 && null| 13 && 15| 2 && 33| 9 && 9| 810 && 1758| null && 28| 57 && 17 |\n| 2025-01-23 && 2025-01-22| 17796 && 10128| 64 && 40| 16 && 50| 386 && 374| null && 21:17| 76 && 90| 3 && 6| 5 && 7| 691 && 756| Fri && Sat| 1058 && 1546| 10 && 9| null && 15| null && 8| null && 1161| 36 && 15| 16 && 55 |\n| 2025-01-21 && 2025-01-20| 19835 && null| 50 && 83| 28 && 97| 438 && 475| 22:21 && 22:19| 32 && 53| 10 && 4| null && 6| 528 && 383| Sun && null| 373 && 1983| null && 9| 4 && 63| 4 && 3| 2741 && 632| 54 && 44| 28 && 37 |\n| 2025-01-19 && 2025-01-18| 8992 && 7442| 76 && 82| null && 17| 392 && 417| 21:17 && 22:14| 60 && 95| 8 && 9| 2 && 3| null && 142| Tue && Wed| 1891 && 743| 6 && 13| 10 && 34| 9 && 2| 2266 && 942| 44 && 54| 52 && 48 |\n| 2025-01-17 && 2025-01-16| 1852 && 10401| null && 57| 97 && 44| null && 524| 21:29 && 23:49| 15 && 55| 1 && 2| 10 && 1| 427 && 652| Thu && null| 642 && 546| 10 && null| 64 && null| 5 && null| 2200 && 2546| 26 && 28| 20 && 26 |\n| 2025-01-15 && 2025-01-14| 10887 && 12065| 85 && 100| 97 && 54| 349 && 338| 21:30 && 21:44| 51 && 22| 7 && 2| null && 6| 868 && 290| Sat && Sun| 946 && null| 10 && 13| 44 && 31| 1 && 6| 1639 && 2684| 49 && 36| 11 && 50 |\n| 2025-01-13 && 2025-01-12| 19722 && 12929| 18 && 33| 77 && 12| 440 && 546| null && 22:33| 80 && 96| 3 && 7| 4 && 6| 334 && 729| null && Tue| 845 && 888| 2 && 10| 54 && null| 7 && 5| 1674 && 1595| 34 && 26| 46 && 42 |\n| 2025-01-11 && 2025-01-10| 309 && 19399| 51 && 75| null && 88| 583 && 427| null && 22:52| 92 && 91| 6 && 6| null && 3| 219 && 703| null && Thu| 1734 && 995| 2 && null| 49 && 31| 5 && 8| null && 1829| 40 && 36| 57 && 47 |\n| 2025-01-09 && 2025-01-08| 457 && 11081| 50 && 34| 60 && 44| 550 && null| 21:22 && 21:42| 41 && 39| 8 && 1| 1 && 7| 595 && 636| null && Sat| 1649 && 481| 6 && 13| null && 63| 10 && 8| 545 && 752| 20 && 51| 36 && 17 |\n| 2025-01-07 && 2025-01-06| 5355 && null| 62 && 15| 67 && 91| 481 && 444| 22:54 && 23:55| null && 56| 8 && 4| 1 && 8| 561 && 665| Sun && Mon| 1740 && 661| 5 && 14| 24 && 13| 10 && 4| 1002 && 663| null && 12| 34 && 48 |\n| 2025-01-05 && 2025-01-04| 1278 && 14422| 14 && 87| 58 && 40| 371 && 377| 22:57 && 23:14| 23 && 68| 9 && 6| 1 && 5| 618 && null| Tue && Wed| 401 && 486| 3 && 2| 28 && 53| 5 && 2| 1194 && 540| 21 && 19| 58 && 11 |\n| 2025-01-03 && 2025-01-02| 18997 && null| 74 && 31| 15 && 90| 448 && 313| 22:16 && 21:44| 79 && null| 5 && null| 7 && 9| null && 871| Thu && Fri| 548 && 1924| 10 && 1| 49 && 33| 4 && 3| 2866 && 1973| 33 && 37| 26 && null |\n| 2025-01-01 && 2024-12-31| 3574 && 13932| 10 && 99| null && 70| 399 && 559| null && 21:39| 19 && 40| null && 2| 3 && 2| 136 && null| Sat && Sun| 850 && 1964| 13 && 3| null && 10| 5 && 8| 2250 && 866| 51 && 12| 20 && 33 |\n| 2024-12-30 && 2024-12-29| 5327 && 973| 71 && 87| 99 && 82| 519 && 435| 21:15 && 23:58| 91 && 54| 5 && 7| null && 7| 900 && 551| null && Tue| 1487 && 1294| null && null| 1 && 39| 5 && 9| 1550 && 1490| 43 && 51| 22 && 42 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the mean of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the number of steps was less than 17000 and the sleep minutes was greater than 350. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:142", "request": "I have a table with 34 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-26| 17121| 28 | 14 | 548 | 22:18| 16 | 8 | 5 | 945 | null | 1679 | 15 | 7 | 5 | 1686 | 18 | 12 |\n| 2025-01-27| null | 37 | 71 | 543 | 22:32| 93 | 10 | null | 565 | Wed | 1972 | 10 | 34 | 3 | 2393 | 28 | 57 |\n| 2025-01-26| 8067 | null | 64 | 374 | 23:52| 26 | 1 | 2 | 802 | null | 302 | 4 | 23 | 2 | 2827 | 41 | 53 |\n| 2025-01-25| null | 52 | 58 | 573 | 23:33| 42 | 10 | 8 | 566 | Fri | 947 | 14 | 61 | 9 | 528 | 32 | 33 |\n| 2025-01-24| 9065 | 15 | 80 | 468 | 23:51| 82 | null | 8 | 689 | Sat | null | null | 33 | 7 | 1743 | 20 | 36 |\n| 2025-01-23| 11253| 75 | 16 | 377 | 22:19| 43 | 2 | 1 | 797 | Sun | 522 | 11 | 31 | 10 | 1031 | 17 | 57 |\n| 2025-01-22| 17637| null | null | 363 | 22:16| 34 | 3 | 2 | 151 | Mon | 1618 | 3 | 0 | 10 | 1706 | 33 | 45 |\n| 2025-01-21| null | 50 | 100 | 374 | null | 53 | 3 | 1 | 161 | Tue | 1275 | null | null | 1 | 1491 | 34 | 52 |\n| 2025-01-20| 15891| 29 | 70 | 546 | 23:37| 91 | 2 | 3 | 557 | Wed | 617 | 15 | 11 | 1 | 1628 | 45 | 60 |\n| 2025-01-19| 7748 | 75 | 25 | 404 | 23:52| 15 | 5 | 5 | 620 | Thu | 765 | 3 | 37 | 5 | 844 | 60 | 12 |\n| 2025-01-18| 10166| 33 | 69 | 376 | 21:42| 34 | 9 | 7 | 442 | Fri | 1294 | 13 | 44 | 6 | 2104 | 21 | null |\n| 2025-01-17| 10114| 96 | 61 | 527 | 23:20| 89 | 10 | null | 745 | Mon | 1210 | 6 | 26 | 10 | 2568 | 35 | 21 |\n| 2025-01-16| 17495| 94 | 88 | 416 | null | 70 | 10 | 1 | 112 | Tue | 1031 | 6 | 19 | 4 | 1490 | 44 | 33 |\n| 2025-01-15| 19191| 59 | 52 | 312 | 21:53| null | 7 | 2 | 904 | null | 1055 | 14 | 38 | 5 | null | 50 | 48 |\n| 2025-01-14| 17141| null | 81 | 396 | 22:46| 31 | null | 3 | 450 | Thu | 1061 | 13 | 37 | 9 | 810 | 40 | 33 |\n| 2025-01-13| 919 | 76 | 34 | 361 | 23:16| null | 9 | 9 | 428 | Fri | 769 | 15 | 49 | 2 | 1899 | 60 | 39 |\n| 2025-01-12| 15697| 74 | 74 | 500 | 22:56| 87 | null | null | 880 | Sat | 633 | 4 | 64 | 2 | 568 | 54 | 58 |\n| 2025-01-11| 14719| null | 58 | 564 | 22:49| 11 | 6 | 7 | 757 | Sun | 504 | null | 26 | 3 | 1762 | 59 | 39 |\n| 2025-01-10| 15267| 72 | 15 | 459 | null | 46 | 10 | null | 613 | null | null | 15 | 6 | 2 | 2437 | 48 | 24 |\n| 2025-01-09| 14221| 75 | 49 | 366 | 23:50| 46 | 8 | 2 | 123 | Tue | 813 | 5 | 46 | 8 | null | 43 | 47 |\n| 2025-01-08| 282 | 20 | 50 | null | 21:10| 80 | 9 | 8 | 229 | Wed | 884 | 6 | 9 | 4 | 1557 | 13 | 38 |\n| 2025-01-07| 926 | 66 | 75 | 305 | 23:40| null | 1 | 1 | 275 | Thu | 744 | 1 | 9 | 9 | 1416 | 20 | null |\n| 2025-01-06| 12946| 74 | 88 | 494 | 22:48| 87 | 3 | 1 | 190 | Fri | 1292 | 8 | 62 | 3 | 1647 | 50 | 27 |\n| 2025-01-05| 2820 | 88 | 74 | 399 | 21:43| 34 | null | 7 | 162 | null | 1857 | null | 0 | 5 | 2513 | 35 | 18 |\n| 2025-01-04| 14220| 27 | null | null | 22:46| 15 | 8 | 1 | 487 | Sun | 1012 | null | 20 | 2 | null | 20 | 48 |\n| 2025-01-03| null | 95 | 11 | 435 | 22:39| 51 | 4 | 10 | 962 | null | null | 8 | 53 | 5 | 1532 | null | 42 |\n| 2025-01-02| 1669 | 80 | 40 | 503 | 23:24| 37 | 6 | 9 | 983 | Tue | 763 | 14 | 38 | null | 2400 | 43 | 31 |\n| 2025-01-01| 14577| 69 | 24 | 337 | 21:47| 51 | 8 | 6 | null | Wed | 368 | 3 | 33 | 9 | 1550 | 35 | 57 |\n| 2024-12-31| null | 80 | null | 538 | 23:23| 99 | 8 | 10 | 259 | Thu | 1479 | 6 | 55 | 1 | 1673 | 32 | 37 |\n| 2024-12-30| 2738 | 39 | 50 | 408 | 21:48| 44 | 6 | 10 | 978 | Fri | 1882 | 15 | 36 | 5 | 2393 | null | 36 |\n| 2024-12-29| 12867| 44 | 74 | 302 | 21:24| 99 | 8 | 2 | 866 | Sat | 669 | 1 | 6 | null | 2234 | 42 | 52 |\n| 2024-12-28| null | 51 | 72 | 539 | 23:28| 85 | 7 | 1 | null | Sun | 1295 | null | null | 9 | null | 53 | 29 |\n| 2024-12-27| 4267 | 26 | 59 | 397 | 22:58| 33 | 2 | null | 294 | Mon | 1173 | null | 58 | 10 | 1970 | 44 | 59 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the sum of column phone_screen_time_minutes and column coding_minutes, only looking at the days where the number of messages was greater than 5 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:144", "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| ERROR| 32 | 27 | ERROR| 23:11| 41 | 2 | 5 | 454 | Mon | ERROR| 6 | 65 | 5 | 2726 | 30 | 60 |\n| 2025-01-26| 14017| 10 | 36 | ERROR| ERROR| 45 | 8 | ERROR| null | Tue | 972 | 9 | 52 | null | 884 | null | ERROR |\n| 2025-01-25| 18348| 10 | ERROR| 566 | 23:55| 18 | 6 | 3 | 436 | Wed | 535 | 5 | 49 | null | ERROR| null | 48 |\n| 2025-01-24| null | 56 | 49 | 366 | 23:58| 57 | 5 | null | ERROR| null | 609 | 12 | 14 | 5 | 2551 | null | 50 |\n| 2025-01-23| null | 41 | 64 | ERROR| 21:30| 30 | 2 | 5 | 710 | null | 1748 | 14 | 45 | 6 | 2580 | 54 | 51 |\n| 2025-01-22| ERROR| 27 | 68 | 403 | 23:52| ERROR| 6 | 2 | 488 | ERROR| 890 | 4 | ERROR| 6 | 2897 | 53 | ERROR |\n| 2025-01-21| 7667 | 34 | 28 | null | 23:18| 90 | 3 | ERROR| 628 | Sun | 1574 | 9 | 24 | 6 | 687 | 42 | ERROR |\n| 2025-01-20| 13725| 53 | ERROR| 348 | 21:55| 12 | 1 | 7 | 232 | null | 372 | 3 | 22 | 2 | 2753 | 21 | 39 |\n| 2025-01-19| 1741 | 51 | 59 | 363 | 23:34| 87 | ERROR| null | 213 | Tue | 879 | 11 | 48 | 3 | 2261 | 48 | 47 |\n| 2025-01-18| 6658 | null | 75 | 444 | 23:17| 61 | 1 | 10 | 785 | Wed | 395 | 13 | ERROR| ERROR| 2079 | 53 | 24 |\n| 2025-01-17| 13719| 37 | 55 | 451 | 21:37| ERROR| 5 | 6 | 735 | Thu | 1541 | 7 | 8 | 6 | 2467 | 31 | 11 |\n| 2025-01-16| 4612 | 10 | 88 | 465 | 21:37| 19 | 5 | 1 | 622 | Fri | 645 | 2 | 6 | 1 | 2012 | 25 | 51 |\n| 2025-01-15| 15229| 12 | 72 | ERROR| 23:14| ERROR| 9 | 7 | null | Sat | 1498 | 8 | 18 | 3 | 500 | null | ERROR |\n| 2025-01-14| 18464| 64 | 24 | 325 | 21:55| 78 | 6 | 7 | 376 | Sun | 582 | 12 | 58 | 2 | 1265 | 56 | 42 |\n| 2025-01-13| 13635| 97 | 25 | 370 | 22:27| 36 | 5 | 6 | null | null | 645 | 10 | 17 | 3 | 2522 | 13 | ERROR |\n| 2025-01-12| null | 45 | 99 | 368 | 23:14| 81 | 9 | 3 | ERROR| ERROR| 1918 | 6 | 21 | 7 | 1116 | null | ERROR |\n| 2025-01-11| 2304 | 87 | 73 | 415 | null | null | 10 | 3 | 486 | Wed | null | null | 44 | ERROR| 944 | 23 | ERROR |\n| 2025-01-10| ERROR| 12 | 47 | 474 | 22:43| 94 | 4 | ERROR| ERROR| Thu | 667 | 10 | 20 | 3 | 2734 | 53 | 39 |\n| 2025-01-09| ERROR| null | 73 | 485 | 22:18| 39 | 7 | 3 | 232 | null | ERROR| ERROR| 3 | 6 | 1881 | 52 | null |\n| 2025-01-08| 15841| 33 | 89 | ERROR| 22:54| ERROR| 3 | 1 | 420 | Sat | 1081 | 12 | 32 | 4 | 1468 | 30 | ERROR |\n| 2025-01-07| 16732| 10 | ERROR| 566 | 21:48| 93 | 10 | 1 | 287 | Sun | 1265 | null | 3 | 3 | 1424 | 15 | 41 |\n| 2025-01-06| ERROR| 32 | 63 | 563 | 22:14| 36 | 5 | 2 | 933 | null | 934 | 4 | 8 | 1 | 1877 | 55 | 28 |\n| 2025-01-05| ERROR| null | 88 | 326 | 21:55| 24 | 8 | 9 | 642 | ERROR| 1015 | 14 | 25 | 1 | 1473 | ERROR| 57 |\n| 2025-01-04| 13687| 72 | 38 | null | 22:45| 31 | 10 | 10 | 495 | ERROR| 811 | 5 | 53 | 3 | 926 | ERROR| 15 |\n| 2025-01-03| 4555 | 52 | null | null | 22:42| 10 | null | 9 | 959 | Thu | 1170 | 15 | 40 | 4 | 1075 | 41 | null |\n| 2025-01-02| 14013| 96 | ERROR| 440 | 23:18| 60 | 9 | 8 | 449 | Fri | 1413 | 5 | 23 | 4 | 1137 | 37 | 47 |\n| 2025-01-01| 6361 | 99 | ERROR| 305 | 21:19| 15 | 5 | ERROR| 918 | Sat | 1740 | 9 | null | 9 | 2777 | 54 | ERROR |\n| 2024-12-31| 10248| null | 68 | ERROR| 22:48| null | ERROR| null | 125 | Sun | 774 | ERROR| ERROR| 6 | 1386 | 19 | ERROR |\n| 2024-12-30| 9456 | 60 | 18 | 457 | 23:14| 84 | 7 | 9 | 623 | Mon | 525 | 14 | 3 | 8 | ERROR| 51 | 19 |\n| 2024-12-29| 15395| 23 | 97 | ERROR| ERROR| null | 1 | 8 | 690 | Tue | 531 | 3 | 49 | 8 | 1245 | null | 20 |\n| 2024-12-28| 19503| ERROR| 96 | 581 | null | 15 | 9 | 7 | 694 | Wed | 983 | 9 | null | 7 | 2820 | 43 | null |\n| 2024-12-27| 8493 | 45 | ERROR| 353 | null | 19 | 8 | 1 | 942 | Thu | null | 8 | 47 | null | 2574 | ERROR| 21 |\n| 2024-12-26| 12347| 82 | 85 | 392 | null | 11 | 6 | 8 | 309 | Fri | 1399 | null | 54 | null | 2119 | 18 | 51 |\n| 2024-12-25| 6879 | 31 | 77 | 503 | 21:37| 25 | 6 | 10 | 247 | Sat | 1585 | 14 | 31 | null | 2568 | 28 | 22 |\n| 2024-12-24| null | 82 | 44 | 473 | 23:25| null | null | 7 | 668 | Sun | 1050 | 6 | null | null | 2682 | 41 | 59 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [2316, 16136, 2800, 3878, 18404, 4922, 35, 89, 98, 24, 59, 45, 58, 327, 540, 507, 425, 416, 593, null, 22:26, 21:45, null, 87, 42, 15, 10, 9, 1, 8, null, 2, 374, 110, 251, null, Tue, Tue, Wed, 340, null, 10, 14, 7, 24, 22, 8, 9, 2102, 1128, 53, 11, 24, 42, 26, 56, 13, null, 53, 25, 39, 10, 42]. Compute the absolute difference between the sum of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the number of meetings was greater than 2 and the number of calories burned was less than 800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:145", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, num_steps, 17546, null, 7747, 17111, 19445, 14944, 14955, 8785, 18750, 14718, 17086, 16746, 3666, 5517, 14083, 123, 12944, null, 13259, 1456, 13562, 6804, 7559, 17820, 1004, 1991, -7, study_minutes, 85, 91, 67, 18, null, 48, 81, 96, 81, 11, 48, 33, 79, 35, 75, 64, 81, 95, 31, 81, 58, 39, 18, 96, 62, 64, -4, 0, exercise_minutes, 85, 57, null, 88, 20, 89, null, 79, 12, 53, 84, 92, 32, null, 59, 62, 98, 33, 73, 71, 93, 48, 31, 80, 47, 28, 1, 5, -9, sleep_minutes, 529, 556, 465, 457, 590, 473, 422, 425, 547, 545, 371, 341, 588, 572, 427, 426, 588, 458, null, 325, 323, 451, 589, 460, 397, 513, -9, 10, -5, -5, bed_time, 22:35, 21:36, 23:59, 23:26, 21:29, 22:32, 21:31, 22:27, null, 23:56, 22:16, 22:33, 22:39, null, 21:48, 23:39, null, 22:13, null, 21:11, 22:17, 21:50, 23:12, 21:49, 21:53, null, 8, -2, -3, 7, 2, num_messages, 86, 35, 38, 60, null, null, 51, 11, 25, 88, 63, 73, 57, 76, 89, null, 61, 10, 68, 35, 96, 57, null, 77, 22, 43, -1, 10, -10, -5, 4, -6, num_emails, null, 1, 1, 5, 5, 10, null, 6, 3, 8, 3, 6, 3, 5, 6, 10, 5, 8, 8, 9, 6, 5, null, 2, 7, 3, 2, -6, 10, -9, -2, 10, 9, num_calls, 4, 7, 9, 6, null, 1, 2, 1, 4, 6, 1, 8, 7, 5, 2, 3, 10, 4, 10, 1, 2, null, 3, 10, null, 2, 10, 8, 8, -9, 2, -5, 5, 3, calories_burned, 438, 498, 110, 473, 389, 415, 256, 381, 424, 913, 382, 967, 330, null, 219, 993, null, 233, 380, 185, 865, 649, 243, 880, 608, 987, -9, 8, 5, -9, 7, 9, 0, 6, 5, weekday, null, Tue, Wed, Thu, Fri, Sat, Sun, Mon, null, Wed, Thu, null, null, Sun, Mon, Tue, Wed, Thu, null, Sat, Sun, null, Tue, Wed, Thu, Fri, 1, -7, -9, 8, 1, 5, -10, 2, -7, 7, calories_consumed, 443, 1717, 1433, 1036, 1114, 1219, 1364, 1200, null, 1807, 775, 1755, null, 874, 1309, 1961, 1973, 408, null, 1343, 1239, 534, 353, 524, 1237, 478, 5, -9, -1, -7, -8, 9, 3, 8, -1, -3, -2, num_meetings, 6, 11, null, 8, 6, 1, 11, 8, 10, 5, 7, 3, 6, 15, 15, 5, null, null, 14, 8, null, 12, 5, 1, 10, 8, 6, 7, -5, 10, -10, 3, 4, 9, -3, -1, 7, -2, coding_minutes, 12, 34, null, 38, 24, 40, 33, 48, 7, 65, 42, 64, 9, 33, 55, 28, 50, 29, 5, 62, null, 26, 4, 37, 9, 34, -2, 1, 2, -3, -6, 6, -3, -8, 4, 5, 0, -9, -9, num_tasks_completed, 3, 10, 7, 3, 3, 6, 5, 5, null, 2, 6, 3, 1, 6, 5, 10, 7, 1, 2, 1, 7, 6, 6, 6, null, 5, 0, -4, 10, 2, 9, 8, -6, -3, -3, -8, 2, -6, 0, -2, water_intake_ml, 2651, 2684, null, 619, 2146, 1199, 1810, 1867, 997, 759, 2668, 1689, 1881, 2983, 2760, 2047, 1298, null, 1539, 2017, 2183, 1072, 1999, 2163, 745, 1074, 6, -1, 10, -3, 9, 7, -8, 4, 4, -7, 8, -10, -9, -2, -2, phone_screen_time_minutes, null, null, 12, 54, 44, 25, 46, 52, null, 41, 26, 36, 12, 37, 47, 46, 19, 22, 44, 57, 34, 50, 41, 38, 26, 39, 5, 8, -5, -4, 9, -6, 5, -6, 8, -1, 7, 6, 6, 3, 8, 10, music_listening_minutes, 37, 43, 25, 19, 59, 21, 54, 31, 29, 15, 13, 51, 16, 51, 26, 13, 43, 44, 16, 14, 55, 27, null, 29, 20, 46, 8, -9, -9, 1, -5, 5, 5, 2, 9, 9, -10, -3, -9, 5, -6, 0, -1].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the sum of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the number of calories consumed was less than 1800 and the number of messages was greater than 5. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:150", "request": "I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2024-12-29| 13756| 99 | 87 | 333 | 21:13| 100 | null | 9 | 924 | Sat | 937 | 6 | null | 8 | 2460 | 29 | null |\n| 2025-01-27| 6968 | 29 | 22 | 440 | null | 18 | 7 | 8 | 458 | Sun | 1658 | 4 | 30 | 9 | null | 52 | 35 |\n| 2025-01-26| 1284 | 67 | 89 | 594 | 23:57| 93 | 2 | 7 | 197 | null | 582 | 8 | 22 | 8 | 1296 | 57 | 26 |\n| 2025-01-25| null | 74 | 26 | 467 | 21:53| 74 | null | 9 | 751 | Tue | 1860 | null | 65 | null | 2273 | 54 | 45 |\n| 2025-01-24| 5426 | null | 23 | 360 | 23:17| 31 | 7 | 5 | 879 | Wed | 1557 | null | 13 | 10 | 2231 | 60 | 28 |\n| 2025-01-23| 783 | 76 | 12 | 545 | 23:10| 17 | 6 | null | 935 | null | 1431 | 11 | 48 | null | 2885 | 41 | 55 |\n| 2025-01-22| 1998 | 28 | 98 | 536 | 21:23| 27 | 5 | 7 | 865 | Fri | 1488 | 3 | null | 5 | 2109 | 33 | 44 |\n| 2025-01-21| 8947 | 49 | 31 | 505 | 22:29| 87 | 6 | null | 792 | null | 983 | 5 | 22 | 10 | 991 | null | 10 |\n| 2025-01-20| 3967 | 99 | null | 422 | 21:44| 70 | 1 | 7 | 464 | Sun | 1151 | null | 50 | 9 | 1820 | 17 | 29 |\n| 2025-01-19| 3911 | 89 | 11 | 495 | 21:40| 39 | 2 | 7 | 558 | null | 1848 | 11 | 9 | 9 | 2551 | null | 46 |\n| 2025-01-18| 3145 | 23 | 33 | 376 | null | 34 | 6 | 2 | 399 | Tue | 1834 | 14 | 47 | 3 | 1457 | 32 | 24 |\n| 2025-01-17| 19623| 84 | 21 | 452 | 22:33| 31 | 8 | 7 | 655 | null | 952 | 15 | 55 | 9 | 2692 | 42 | null |\n| 2025-01-16| 3069 | 52 | 59 | 501 | 23:42| 21 | 9 | 6 | 111 | Tue | 1016 | 12 | 63 | 7 | 1110 | 11 | 53 |\n| 2025-01-15| null | 41 | null | 567 | 23:16| 90 | 5 | 2 | 564 | null | 1754 | 13 | 43 | 4 | 2461 | 36 | 24 |\n| 2025-01-14| 11030| 60 | 38 | 355 | null | 81 | 1 | 10 | 440 | Thu | null | 13 | 60 | 4 | 2653 | 48 | 22 |\n| 2025-01-13| 3304 | 46 | 45 | 539 | 23:48| 72 | 10 | 5 | 806 | Fri | 1455 | 2 | 59 | 4 | null | 60 | 45 |\n| 2025-01-12| null | 62 | 36 | 302 | 21:48| 88 | 3 | 4 | 575 | Sat | 759 | 6 | 42 | 5 | 1490 | 24 | 40 |\n| 2025-01-11| 9320 | 33 | 60 | 580 | 23:42| 16 | 1 | null | 202 | Sun | 372 | 12 | 24 | 3 | 2721 | 51 | 23 |\n| 2025-01-10| 2468 | 52 | 22 | 561 | 21:28| 76 | 7 | null | 691 | null | 1175 | 8 | 43 | 8 | 1711 | 10 | 25 |\n| 2025-01-09| 5001 | 27 | 32 | 335 | 21:56| 74 | 10 | 1 | 819 | Tue | 947 | 8 | 18 | 1 | 866 | 54 | 16 |\n| 2025-01-08| null | 54 | 48 | 482 | 23:42| 78 | 1 | 6 | 873 | Wed | 1058 | 14 | 60 | 6 | 2012 | 44 | 34 |\n| 2025-01-07| 5672 | 62 | 95 | 449 | 23:39| 50 | null | 4 | 981 | Thu | 1425 | 13 | 27 | 3 | 1805 | 22 | 38 |\n| 2025-01-06| null | 72 | 77 | 570 | 22:46| 29 | 7 | 8 | 783 | Fri | 1035 | 14 | 19 | 4 | 2293 | 16 | 50 |\n| 2025-01-05| 13790| 48 | 10 | 405 | 22:32| 43 | 1 | 4 | 205 | Sat | 1800 | 5 | 64 | 4 | 918 | 13 | 59 |\n| 2025-01-04| 18508| 94 | null | 331 | 22:21| 43 | 3 | 7 | 366 | null | null | null | 38 | 1 | 2736 | null | 47 |\n| 2025-01-03| 5143 | 48 | 40 | null | 22:32| 46 | 7 | 2 | 364 | null | 368 | 4 | 58 | 7 | 2340 | 27 | 42 |\n| 2025-01-02| 6074 | 46 | 80 | 405 | 21:55| 35 | 10 | 3 | 344 | Tue | 809 | 14 | 63 | 6 | 1869 | 15 | 17 |\n| 2025-01-01| 16844| null | 62 | 398 | null | 96 | 1 | 10 | 515 | Wed | 1013 | 15 | 47 | 9 | 1164 | 20 | null |\n| 2024-12-31| 10174| null | 79 | 594 | 21:37| 90 | 6 | 1 | 624 | Thu | 1519 | 3 | 27 | 8 | null | 54 | 36 |\n| 2024-12-30| null | 20 | 28 | 471 | 23:39| 17 | null | 2 | 177 | Fri | 1133 | 10 | 36 | 1 | null | 39 | 27 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the sum of column music_listening_minutes and column phone_screen_time_minutes, only looking at the days where the number of messages was greater than 5 and the sleep minutes was greater than 350. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:156", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 14039, 81, 12, 444, 23:29, 12, 3, 5, 915, null, 502, 11, 6, 9, null, 51, 17, -9, 2025-01-26, 11628, 15, 72, 301, 21:11, 92, 10, 7, 146, Tue, 1280, 9, 16, 1, 1019, 26, 55, 2, -6, 2025-01-25, 11582, 35, null, 595, 21:20, 26, 10, 8, 808, Wed, 820, 11, 58, 4, 2616, 56, 54, -10, -2, -5, 2025-01-24, 8259, 64, 72, 340, 23:54, 82, 1, 2, null, Thu, null, 5, 54, 7, 1425, 11, 30, -10, 1, 8, 1, 2025-01-23, 219, 44, 39, 483, 23:31, null, 8, 7, 851, Fri, 1174, 10, 23, 10, 1294, 12, 36, 2, -7, 7, -4, 4, 2025-01-22, 18221, 100, 25, 401, 23:58, null, 9, 10, 731, Sat, 537, 8, 53, 4, 2655, 24, 52, -4, 9, 7, 9, 4, 0, 2025-01-21, null, 47, 12, 413, 21:54, 74, 7, 8, 614, Sun, 1910, 14, 26, null, 703, 54, 10, -8, 8, 6, -10, 5, 10, 1, 2025-01-20, 15853, 18, 76, 351, 21:43, 27, 7, 2, 514, null, 796, 13, 34, 9, 1000, 27, 48, -5, 0, -9, -3, 6, -4, 7, -5, 2025-01-19, 8306, 59, 100, null, 21:34, 27, null, 6, 844, Tue, null, 2, 44, 6, 2187, 46, 50, -7, -5, 3, -1, 4, 4, -3, -5, -9, 2025-01-18, 12799, 44, 60, 594, 23:47, 98, 5, 8, 533, Wed, 1203, 4, 21, null, 2131, 52, 57, -2, 0, -10, 2, 9, -1, 6, 0, 5, 9, 2025-01-17, 16288, 62, 67, 555, 23:45, 85, 4, 9, 889, null, 1492, 7, 28, null, 2537, null, 32, 8, 5, -5, 3, 8, 5, -8, 6, -9, -10, 6, 2025-01-16, 18478, 71, 15, null, 22:13, null, 4, 1, 642, Fri, 1157, 1, 60, 6, 1555, 25, 25, 9, -6, 5, -4, 7, 7, 0, -2, 5, -8, -2, -10, 2025-01-15, null, 12, 98, 360, 22:10, 45, 6, 8, 281, null, 1963, 14, 57, 7, null, 26, 39, -7, -7, -10, 10, 10, 2, 4, 4, 6, -9, 2, -10, 0, 2025-01-14, 13350, null, 13, 391, 21:25, 30, 2, 5, 630, Sun, 417, 14, 25, 9, 2154, 21, 41, -3, 8, 9, -5, 8, 7, 9, 6, 0, 1, 3, -8, 8, -6, 2025-01-13, 19249, 53, 98, null, 21:31, 59, 6, 6, 919, null, 784, 1, null, 9, 2512, null, 54, 1, 9, -6, -9, -3, 9, 9, -6, -1, 9, 2, -1, -7, 2, 5, 2025-01-12, 11659, 89, 96, 501, 23:33, null, 9, null, 578, Tue, 1226, null, 2, 10, 1998, 23, 14, -9, 6, 8, 0, 8, 8, 6, -2, -6, 6, -1, 7, 9, -2, 5, 0, 2025-01-11, 16535, 96, 27, 342, 21:33, 37, 3, 4, 775, Wed, 1834, 6, 58, 8, 1969, 11, 16, -8, 0, 7, -7, 9, -9, 3, 7, -3, 10, -9, 5, -3, 2, -3, 3, -10, 2025-01-10, 2643, 28, 82, 459, 21:12, null, 3, 6, 798, Thu, 482, 1, 48, 10, 2133, 39, null, -8, 10, 1, 1, 8, 5, 7, 6, 8, 6, -8, -9, 7, 7, -1, 10, 0, 9, 2025-01-09, 15133, 69, 82, 453, 23:36, 23, 5, 10, 352, Fri, null, 9, 26, 2, 2476, null, 40, -4, -4, -7, 2, 8, -7, 5, -1, 3, 4, -8, 8, -3, 0, -6, 0, 9, -1, -10, 2025-01-08, 7198, 100, 24, 509, 23:40, 34, 10, 1, 859, Sat, 320, 13, 40, null, 2100, 42, 18, -9, -10, 5, 2, 9, -1, -4, 1, -1, 3, 2, -9, -3, -3, 8, 8, 7, 8, -10, 9, 2025-01-07, 1450, 37, 39, 514, 21:16, 20, 3, null, 423, Sun, 1863, 4, 53, 1, null, null, 20, -10, 7, -5, 3, -9, 6, 3, -9, -5, 5, 8, 5, -9, 9, 6, 6, 9, 5, 6, 8, 4, 2025-01-06, 4868, 56, 95, 588, 21:43, 25, 3, 8, 588, Mon, 706, 5, 40, 2, 710, 24, 44, 1, 10, -4, -2, -4, 9, -9, -7, 3, -4, -4, -10, 10, 0, 4, 5, -4, -5, -3, 10, -9, 10, 2025-01-05, null, 80, 43, 521, 23:18, 77, 5, null, 238, Tue, 1998, null, 40, 7, null, 10, 40, 10, -8, 4, 7, -9, 4, 0, 7, 2, 1, -3, 1, -2, 0, -8, 8, -10, 5, -1, -4, 3, -1, 2, 2025-01-04, 17504, 59, null, 397, 22:39, 49, 10, 1, 169, Wed, 1718, 9, 61, 10, 1370, 47, 36, -4, 0, 1, -6, -6, -4, 1, 2, 10, -2, -6, -3, 10, 10, 3, -7, -1, 5, 5, 0, -10, -5, 9, -1, 2025-01-03, 2815, 92, 29, 343, 23:47, 28, 10, 5, 588, Thu, 437, 1, 14, null, 2183, 49, 16, 5, 3, 6, 7, 3, 2, 3, 10, 4, 6, 3, 9, -9, 6, -1, -8, -3, 7, -10, 4, -9, -9, -7, 5, -3, 2025-01-02, 2284, 20, 42, 533, null, 17, 10, 3, 458, Fri, null, 4, 53, null, 1063, 35, 17, 8, 8, 10, 0, -6, 9, 6, 2, 5, -4, 2, 0, -1, -1, -5, -5, 10, 2, -4, 9, 1, 0, -6, -1, -1, 4].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the median of column music_listening_minutes and column phone_screen_time_minutes, only looking at the days where the number of meetings was greater than 2 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:161", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 2243 && 11468| 66 && 55| 11 && null| 480 && 540| 22:29 && 22:10| 33 && 46| 7 && 1| 5 && 1| 398 && null| null && Tue| 510 && 1948| 15 && 10| 46 && 5| 8 && 5| 2102 && 1214| 11 && 13| 57 && 40 |\n| 2025-01-25 && 2025-01-24| 5686 && 15546| null && 88| null && 16| 416 && 540| null && 21:31| 44 && 12| 10 && 8| 8 && 6| 559 && 744| Wed && Thu| null && 1981| 9 && 15| 63 && 52| 5 && 7| null && 2713| 13 && 44| 41 && 16 |\n| 2025-01-23 && 2025-01-22| 10238 && 14238| 43 && 81| 15 && 71| 410 && null| null && 22:54| 19 && 33| 9 && 4| 2 && 8| 245 && null| Fri && Sat| 754 && 1025| 9 && 6| 52 && 30| null && 1| 1654 && 572| null && 28| 36 && 18 |\n| 2025-01-21 && 2025-01-20| 14743 && 11149| 32 && 21| 23 && 97| 378 && 583| null && 21:46| 92 && 41| 2 && 7| 1 && 7| 981 && null| Sun && null| 1040 && 1736| 13 && null| 37 && 3| 2 && 5| 811 && 2350| 57 && 47| 24 && 23 |\n| 2025-01-19 && 2025-01-18| 11249 && 7678| 41 && 57| 63 && 67| 499 && 455| 22:32 && 23:51| null && null| 9 && null| 6 && 3| null && 654| Tue && Wed| 1515 && 793| null && null| 6 && 48| 6 && 1| 2363 && null| 34 && 38| 60 && 33 |\n| 2025-01-17 && 2025-01-16| 3519 && 10293| 29 && 43| null && 41| 330 && 369| 23:18 && 22:48| 75 && 90| 4 && 1| 6 && 8| 126 && 208| Thu && Fri| 1836 && 937| 15 && 3| 21 && 28| 7 && 9| 1711 && 2617| 60 && 14| 48 && 31 |\n| 2025-01-15 && 2025-01-14| null && 5305| 22 && 39| 20 && 61| 593 && 431| 23:51 && 21:31| 51 && 84| 5 && 10| 6 && 2| 881 && 128| Sat && Sun| 1172 && 604| 3 && 2| 14 && 63| 9 && 8| 2367 && 1232| 60 && 15| 26 && 54 |\n| 2025-01-13 && 2025-01-12| 6125 && 8849| 56 && 10| 10 && 80| 535 && 442| 21:54 && 21:53| 44 && 30| 3 && 9| 8 && 9| 713 && 916| null && Tue| 1466 && 1611| 1 && 4| 64 && 16| 8 && 7| 2418 && 1894| 36 && 30| 10 && 16 |\n| 2025-01-11 && 2025-01-10| 8885 && 2744| null && 38| 38 && 42| 406 && 578| 22:24 && 22:58| 32 && 26| null && 10| 1 && 5| 637 && 628| Wed && Thu| 366 && 901| 13 && 9| 43 && 3| 8 && 4| 1175 && 1957| 40 && 52| 59 && 58 |\n| 2025-01-09 && 2025-01-08| 9710 && 13423| 28 && 21| 76 && 84| 303 && 520| 23:45 && null| 53 && 40| 2 && 4| 3 && 2| null && 100| Fri && null| 726 && 1551| 12 && 8| 54 && 35| 2 && 7| 1302 && null| null && 39| 20 && 33 |\n| 2025-01-07 && 2025-01-06| 13015 && 7502| 77 && 60| 97 && 85| 513 && 352| 23:13 && 22:23| 40 && 18| 9 && 10| 6 && 9| 507 && null| Sun && null| 506 && 401| null && 14| 60 && 43| 7 && 4| 2743 && 2664| 24 && 35| 21 && 55 |\n| 2025-01-05 && 2025-01-04| 4867 && null| null && 66| 71 && 21| 441 && 537| 22:45 && 22:13| 100 && 83| 3 && 6| 2 && 2| null && 911| Tue && Wed| 1771 && 863| 7 && 8| 43 && 22| null && 4| 1932 && 2141| 21 && 27| 36 && 46 |\n| 2025-01-03 && 2025-01-02| 2522 && 756| 92 && 37| 33 && 95| 328 && null| 23:42 && 21:37| 32 && 32| null && null| 8 && 1| 461 && 352| null && Fri| 893 && 1845| 1 && 12| 1 && 36| 5 && 5| 1071 && null| 45 && 51| 15 && 15 |\n| 2025-01-01 && 2024-12-31| 6293 && 5751| 88 && 66| 52 && 32| 580 && 485| 22:46 && 21:29| 15 && 21| 7 && 10| 10 && null| 385 && 491| Sat && Sun| 440 && 1466| 5 && 9| 13 && 5| 2 && 5| 2336 && 638| 60 && null| 10 && 32 |\n| 2024-12-30 && 2024-12-29| 5094 && 13067| 29 && 91| 86 && null| 486 && 366| 22:35 && 23:13| 45 && 100| 4 && 3| 9 && null| 738 && 222| null && Tue| 1322 && 1404| 8 && 3| 55 && 63| 8 && 5| 1049 && null| 35 && null| 17 && 60 |\n| 2024-12-28 && null| 15982 && null| 12 && null| 16 && null| null && null| 23:51 && null| 24 && null| 1 && null| 9 && null| 692 && null| Wed && null| null && null| null && null| 62 && null| 1 && null| 1725 && null| 20 && null| 51 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the mean of column study_minutes and column coding_minutes, only looking at the days where the sleep minutes was greater than 350 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:162", "request": "I have a table with 28 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, num_steps, 14094, 6478, 16561, 15714, 16138, 19196, 18400, 15452, 519, 13621, 15877, 15761, 11886, 19795, 9315, 10152, 19277, 3055, 19549, 15586, 18060, 6785, 12846, 271, 9192, 11449, study_minutes, 39, 32, 41, 91, 56, 24, 35, 49, 43, 16, 81, 83, 97, 86, 25, 11, 22, 61, 79, 46, 33, exercise_minutes, 17, 75, 10, 22, 85, 30, 35, 71, 78, 59, 95, 90, 18, 16, 16, 66, 20, 81, 45, 78, 40, 36, sleep_minutes, 460, 583, 314, 542, 439, 331, 529, 411, 453, 591, 360, 347, 465, 377, 350, 359, 482, 382, 453, 496, 314, 319, 355, 506, bed_time, 21:22, 22:26, 23:25, 21:13, 21:24, 23:26, 23:28, 23:57, 22:25, 22:43, 21:50, 23:33, 23:24, 23:59, 22:11, 22:53, 21:17, 21:11, 21:26, 22:35, 21:39, 23:46, 21:22, 22:43, 23:20, 22:37, num_messages, 95, 47, 94, 46, 19, 29, 79, 98, 20, 57, 77, 47, 54, 71, 38, 19, 78, 40, 40, 78, 87, 62, 43, 52, num_emails, 8, 2, 8, 9, 9, 1, 2, 6, 7, 5, 4, 10, 10, 2, 5, 2, 1, 10, 10, 2, 10, 9, 6, 6, 4, num_calls, 4, 7, 1, 2, 4, 2, 6, 3, 8, 7, 7, 9, 3, 2, 4, 10, 8, 10, 1, 7, 9, 1, calories_burned, 833, 146, 428, 434, 452, 726, 566, 979, 208, 564, 717, 255, 630, 804, 325, 583, 128, 193, 468, 570, 818, 394, 337, 781, 452, 518, 773, weekday, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Fri, Sat, Sun, Tue, Wed, Thu, Fri, Sat, calories_consumed, 1081, 1369, 1968, 1190, 1892, 747, 830, 898, 404, 1014, 983, 1314, 1619, 868, 497, 1599, 858, 390, 799, 1164, 791, 1403, 445, 917, num_meetings, 14, 1, 7, 7, 10, 3, 12, 12, 8, 6, 14, 10, 12, 2, 4, 12, 7, 9, 7, 14, 7, 15, 4, 1, 1, 7, coding_minutes, 24, 65, 3, 13, 23, 27, 33, 50, 13, 39, 36, 52, 56, 43, 5, 48, 14, 12, 64, 26, 20, 36, 5, num_tasks_completed, 5, 9, 6, 4, 4, 5, 10, 2, 7, 10, 1, 2, 2, 5, 7, 1, 8, 7, 1, 9, 8, 2, 6, 3, water_intake_ml, 1458, 787, 1030, 975, 1853, 1659, 2565, 603, 1008, 788, 2543, 2318, 1901, 773, 1266, 2156, 1935, 1845, 2420, 2530, 2461, 1514, 2160, 2879, 1347, 2899, phone_screen_time_minutes, 35, 49, 19, 60, 49, 59, 45, 39, 15, 24, 11, 45, 16, 60, 21, 42, 28, 57, 48, 41, 25, 34, 36, 35, 47, music_listening_minutes, 21, 27, 38, 26, 27, 38, 27, 36, 15, 29, 15, 51, 42, 20, 60, 24, 23, 53, 30, 45, 51].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(23, 4), (5, 7), (2, 2), (1, 6), (1, 3), (11, 11), (13, 8), (25, 16), (6, 2), (16, 13), (18, 10), (20, 1), (26, 17), (3, 3), (17, 2), (5, 6), (22, 10), (4, 14), (5, 3), (17, 11), (8, 2), (4, 17), (17, 8), (17, 17), (24, 4), (10, 8), (8, 17), (1, 5), (11, 13), (16, 15), (7, 12), (23, 2), (12, 14), (17, 4), (27, 8), (14, 14), (3, 17), (25, 2), (27, 17), (10, 13), (19, 13), (24, 3), (10, 16), (13, 6), (26, 3), (1, 10), (25, 11), (7, 8), (21, 7)]. Compute the absolute difference between the sum of column music_listening_minutes and column sleep_minutes, only looking at the days where the water intake was less than 2500 ml and the number of meetings was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:163", "request": "I have a table with 33 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 13670 && 4024| 14 && 53| 88 && null| 455 && null| 22:35 && 22:21| 72 && 46| 9 && 10| 3 && 2| 706 && 375| null && Tue| 1882 && 1216| null && 9| 41 && 53| 1 && 6| 2184 && 947| 14 && null| 48 && 36 |\n| 2025-01-25 && 2025-01-24| 2517 && 19548| null && 94| 57 && 62| 356 && 520| 22:40 && 22:11| 34 && 49| 7 && 4| 5 && 3| 137 && 730| Wed && Thu| 1284 && 1862| 3 && 13| 6 && 8| null && null| 2313 && 1165| 42 && 42| 48 && 27 |\n| 2025-01-23 && 2025-01-22| null && 3643| 80 && 47| 73 && 21| null && 399| 23:47 && 21:28| 60 && 43| 6 && 10| 6 && 4| 703 && 282| Fri && Sat| null && 446| 10 && 2| 64 && 17| 7 && 1| null && 2477| 35 && 21| 49 && 59 |\n| 2025-01-21 && 2025-01-20| 3763 && 4482| 91 && 31| 86 && 75| 424 && 460| 23:45 && 23:42| 92 && 81| 10 && 3| 5 && null| 109 && 839| Sun && Mon| null && 1003| null && 5| 58 && 32| 1 && 5| 643 && 1654| 25 && 28| 47 && 48 |\n| 2025-01-19 && 2025-01-18| 16889 && 12045| 15 && null| 38 && null| 585 && 470| 21:21 && null| 38 && 76| 7 && 7| 1 && 10| 173 && null| Tue && Wed| 1483 && 1617| 1 && 4| 45 && 46| 9 && 2| 2275 && 587| 44 && 17| null && 47 |\n| 2025-01-17 && 2025-01-16| 9270 && 19794| 54 && 34| null && 25| 302 && 504| null && 21:46| 85 && 36| 5 && 6| 7 && 6| 487 && 475| Thu && Fri| 1163 && 1816| 3 && 8| 0 && 65| 7 && 9| 2314 && null| 12 && 17| 30 && null |\n| 2025-01-15 && 2025-01-14| 5608 && 7913| 54 && null| 10 && 49| 548 && 495| 23:27 && 22:59| null && 25| 7 && 5| 1 && 7| 144 && 492| Sat && null| 859 && 562| 4 && 2| 19 && 55| 1 && 10| 2232 && 1607| null && 25| 35 && 36 |\n| 2025-01-13 && 2025-01-12| 9666 && 7282| 83 && 52| null && 37| 380 && 321| 23:15 && 23:47| 97 && 40| 3 && 5| 9 && 6| null && 249| null && Tue| 1777 && 678| 12 && 11| 40 && 45| 2 && 5| 1245 && 1586| 31 && 46| 11 && 17 |\n| 2025-01-11 && 2025-01-10| 12411 && 6390| 56 && 12| 48 && 94| 376 && 383| null && 23:50| 44 && 66| 2 && 7| 10 && 3| 376 && 721| Wed && Thu| 905 && 1548| 8 && 7| null && 29| 8 && 10| 560 && 1048| 60 && 21| 59 && 58 |\n| 2025-01-09 && 2025-01-08| 7179 && 6470| 93 && 67| 65 && 50| 558 && 403| 23:36 && 22:16| 26 && 73| 2 && 5| 6 && 6| 876 && 233| Fri && Sat| 1952 && 457| 1 && 10| null && 61| 1 && 4| null && 2106| 36 && 42| 58 && 37 |\n| 2025-01-07 && 2025-01-06| 4523 && 2909| 10 && 85| 32 && 22| 472 && 394| 23:16 && 23:41| 99 && 89| 8 && null| 1 && 10| 729 && 865| null && null| 374 && 593| 8 && null| 59 && 7| null && 4| 1217 && 1002| 58 && 12| 43 && 47 |\n| 2025-01-05 && 2025-01-04| 9278 && 13414| 84 && 60| 72 && 90| 332 && 333| 22:21 && 23:17| 29 && 21| 2 && 4| 2 && 3| 120 && 928| null && null| 1538 && 1277| 6 && null| 19 && 6| 5 && 2| 1748 && 2791| 48 && 51| null && 21 |\n| 2025-01-03 && 2025-01-02| 861 && 7104| 30 && 53| 33 && 23| 439 && null| 23:33 && 23:25| 38 && 34| null && 2| 7 && 4| 748 && 758| Thu && Fri| 937 && 1601| 4 && 11| 7 && 13| 4 && 7| 2848 && 2428| 35 && 21| 17 && 15 |\n| 2025-01-01 && 2024-12-31| 8549 && 15193| null && 31| 25 && 10| 550 && 542| 21:56 && 22:32| 59 && 24| 10 && 5| 2 && 5| 733 && 106| Sat && Sun| 1365 && 999| 5 && 13| 13 && 1| 2 && 1| 1200 && 2445| 27 && 10| 55 && null |\n| 2024-12-30 && 2024-12-29| 15452 && null| 45 && 21| 35 && null| 471 && 430| null && 22:47| 71 && 82| 8 && 9| 4 && 2| 483 && 656| null && Tue| 1805 && 466| 13 && 14| 21 && 52| null && 4| 571 && 2961| 56 && 39| 45 && null |\n| 2024-12-28 && 2024-12-27| 19138 && 2624| null && 63| 85 && 70| 591 && 421| null && 21:28| 86 && 58| 10 && 7| null && 9| 343 && 378| Wed && Thu| 1205 && 1333| 5 && 7| 33 && 63| 6 && null| 2512 && 714| 34 && 47| 46 && 51 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the median of column study_minutes and column music_listening_minutes, only looking at the days where the bed time was between 22:00 and 22:59 (inclusive) and the music listening minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:165", "request": "I have a table with 31 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 2556 | 25 | 32 | 554 | 21:13| 12 | 9 | 9 | 273 | Mon | 357 | 13 | 37 | 1 | 1087 | 10 | 28 |\n| 2025-01-26| 17681| 53 | 16 | 412 | 22:49| 71 | 7 | 9 | 960 | Tue | 363 | 11 | 52 | 8 | null | 41 | 29 |\n| 2025-01-25| ERROR| 64 | 27 | 561 | 23:45| 70 | null | 5 | 312 | Wed | 1467 | 13 | ERROR| null | 2742 | ERROR| 56 |\n| 2025-01-24| 16035| ERROR| 89 | 490 | 21:23| 27 | 6 | 10 | ERROR| null | 1032 | null | 13 | 5 | 2512 | 29 | 34 |\n| 2025-01-23| 12023| 20 | 27 | 379 | ERROR| 61 | 7 | null | 781 | Fri | 463 | 13 | 45 | null | 1251 | null | 11 |\n| 2025-01-22| 6548 | 86 | null | null | 21:47| 58 | 9 | 2 | 697 | Sat | 530 | null | 54 | 7 | 828 | null | null |\n| ERROR| 6957 | 77 | 87 | 314 | ERROR| 46 | 6 | 2 | 170 | Sun | 1514 | 8 | 21 | 8 | ERROR| 36 | 33 |\n| 2025-01-20| 9080 | 71 | ERROR| 386 | null | ERROR| 2 | 8 | ERROR| null | 897 | 2 | 61 | 4 | 2975 | 46 | null |\n| 2025-01-19| 13759| 64 | 90 | ERROR| 22:25| null | 7 | 10 | 199 | ERROR| 428 | 1 | 52 | ERROR| 2200 | 15 | 55 |\n| ERROR| 2676 | 17 | null | null | 23:11| 45 | 8 | null | 557 | Wed | 1931 | 11 | 1 | 10 | 1522 | 11 | ERROR |\n| 2025-01-17| 15696| ERROR| 90 | 488 | null | 60 | 7 | 3 | 945 | Thu | 1105 | 13 | ERROR| 5 | 2564 | ERROR| 49 |\n| 2025-01-16| ERROR| 38 | 27 | null | 22:54| 21 | 5 | 10 | 152 | Fri | 1720 | 5 | ERROR| 6 | 1359 | 13 | 46 |\n| ERROR| 2162 | 32 | 88 | ERROR| 23:27| null | null | 6 | 911 | Sat | 1933 | 2 | 5 | 8 | 2116 | 48 | 48 |\n| 2025-01-14| ERROR| ERROR| 94 | ERROR| 22:50| ERROR| 5 | 8 | 112 | Sun | 1963 | null | 11 | 9 | 612 | 16 | 43 |\n| 2025-01-13| 8689 | 83 | 45 | 557 | 22:37| 78 | 2 | 8 | 233 | null | 900 | 6 | 5 | ERROR| 1314 | 60 | 12 |\n| 2025-01-12| 14127| 80 | null | null | 21:10| 97 | ERROR| 9 | 905 | Tue | null | 8 | 10 | 8 | 2225 | 32 | 15 |\n| 2025-01-11| 11383| 96 | 91 | 493 | 23:44| null | ERROR| 2 | null | Wed | ERROR| 4 | 9 | 4 | 1491 | 57 | 40 |\n| 2025-01-10| ERROR| 61 | null | 528 | 23:12| null | 10 | 8 | 578 | ERROR| 393 | null | 15 | 7 | 1335 | 44 | 52 |\n| 2025-01-09| 18013| 17 | 62 | 348 | 21:51| 94 | 9 | 9 | 827 | Fri | 1384 | 12 | 42 | 7 | 1582 | null | 42 |\n| ERROR| 13527| ERROR| 42 | ERROR| 23:29| 15 | 7 | 8 | 753 | Sat | 1599 | 15 | 51 | 8 | 1890 | 52 | 14 |\n| 2025-01-07| 14932| 87 | 23 | ERROR| 23:20| ERROR| 10 | 7 | 532 | Sun | 1009 | 14 | null | 6 | 1696 | 26 | 58 |\n| 2025-01-06| 7090 | 29 | 70 | 382 | null | 87 | 10 | ERROR| 468 | Mon | 359 | 9 | 3 | 5 | 1643 | ERROR| 50 |\n| 2025-01-05| 4955 | 29 | 100 | 315 | 23:59| ERROR| 9 | 6 | 289 | Tue | 771 | 5 | 22 | 3 | 2493 | 47 | 25 |\n| 2025-01-04| 13828| 41 | ERROR| ERROR| 23:13| 17 | 9 | 7 | 794 | ERROR| 685 | 7 | 37 | 7 | 556 | 24 | ERROR |\n| 2025-01-03| null | 37 | 38 | 543 | 21:41| 86 | 8 | 1 | 752 | Thu | ERROR| 8 | 38 | 1 | 1530 | 49 | 30 |\n| 2025-01-02| 5297 | 73 | 78 | 433 | 22:29| 91 | 9 | 3 | 590 | Fri | 1305 | null | 35 | null | 1707 | 36 | 54 |\n| 2025-01-01| 6694 | 87 | 60 | 499 | 22:58| 11 | 3 | 10 | null | Sat | 449 | 15 | 54 | ERROR| 598 | 27 | 15 |\n| 2024-12-31| 3328 | null | 85 | 337 | 22:45| 65 | null | 2 | 769 | Sun | 1421 | ERROR| 36 | 7 | null | 53 | 47 |\n| 2024-12-30| null | 85 | 44 | 567 | null | ERROR| 6 | 4 | 673 | null | 859 | 11 | ERROR| 3 | 1510 | 43 | 57 |\n| ERROR| 14917| 57 | 13 | 573 | 22:33| 17 | null | ERROR| 873 | Tue | ERROR| 13 | 41 | 2 | null | 21 | 47 |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [17457, 41, 18, 92, null, 22:42, 2025-01-21, 22:35, 2384, 81, 60, 449, 462, Tue, null, 2025-01-18, 25, 75, 30, null, 10664, null, 2025-01-15, 557, 12610, 88, 585, 23, 1, 9, 7, 892, 17371, Thu, 2025-01-08, 60, 424, 464, 82, 8, 11, 65, 65, 534, Wed, 10, 1944, 5, null, 48, 58, 2024-12-29, 3, 1132]. Compute the absolute difference between the sum of column coding_minutes and column sleep_minutes, only looking at the days where the number of messages was greater than 5 and the exercise minutes was less than 50. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:167", "request": "I have a table with 34 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 18919| 80 | 81 | 414 | 23:24| null | 3 | 6 | 386 | ERROR| 652 | 15 | 57 | 7 | 2004 | 16 | ERROR |\n| 2025-01-26| 19633| 50 | 72 | null | null | 64 | 3 | 10 | 278 | Tue | 499 | 9 | 50 | 9 | 1890 | ERROR| 19 |\n| 2025-01-25| 17463| 51 | 62 | 541 | 22:10| 90 | 9 | 7 | null | Wed | 1339 | 1 | 49 | 6 | ERROR| 55 | 20 |\n| 2025-01-24| 8359 | 37 | 23 | ERROR| ERROR| null | 6 | 10 | 776 | Thu | 1157 | 3 | 21 | 7 | 2678 | 36 | ERROR |\n| 2025-01-23| 11648| null | 34 | 451 | 23:24| null | 6 | 5 | 616 | Fri | ERROR| null | 23 | 8 | 616 | ERROR| ERROR |\n| 2025-01-22| 4323 | 80 | 42 | 379 | 22:35| ERROR| ERROR| 7 | 863 | Sat | 1327 | 9 | null | 9 | 1055 | 36 | 36 |\n| 2025-01-21| 16983| 19 | 17 | 507 | ERROR| 38 | 7 | 3 | 578 | Sun | 1585 | 5 | ERROR| 5 | 1060 | 53 | ERROR |\n| 2025-01-20| 16383| 27 | 100 | null | 21:20| 37 | 10 | 8 | 929 | null | 394 | ERROR| 4 | 8 | 606 | 51 | 17 |\n| 2025-01-19| 5472 | 56 | 31 | 350 | 21:39| 57 | ERROR| 5 | 503 | Tue | 1314 | ERROR| 26 | 3 | 560 | 15 | 58 |\n| 2025-01-18| 17602| null | 94 | 427 | ERROR| 21 | 6 | ERROR| null | Wed | ERROR| ERROR| 41 | 6 | null | 49 | 38 |\n| 2025-01-17| 9770 | ERROR| 52 | 438 | 21:30| 78 | 10 | 9 | ERROR| Thu | 1437 | ERROR| 59 | 9 | 1610 | 24 | 20 |\n| 2025-01-16| 15257| null | 87 | 426 | 23:31| 11 | null | 4 | 247 | Fri | 1816 | ERROR| 19 | 2 | 569 | 12 | 13 |\n| 2025-01-15| ERROR| ERROR| 17 | 457 | 22:51| 64 | 9 | 3 | 670 | null | 360 | ERROR| 43 | null | 2209 | 56 | 33 |\n| 2025-01-14| 175 | 83 | 63 | 429 | 23:58| 34 | 5 | ERROR| 982 | Sun | ERROR| 5 | ERROR| 1 | 1883 | 17 | 39 |\n| 2025-01-13| 2625 | 60 | 26 | 559 | ERROR| null | ERROR| 3 | ERROR| null | 1265 | 10 | null | 9 | 1429 | 48 | 17 |\n| 2025-01-12| 16829| 55 | 29 | 356 | 21:41| null | 8 | 7 | 371 | null | 1752 | 13 | 37 | 8 | 1648 | 28 | 17 |\n| 2025-01-11| null | 25 | 16 | ERROR| 22:40| 36 | 2 | 2 | 384 | Wed | 434 | 7 | ERROR| 9 | 2861 | 57 | 35 |\n| 2025-01-10| 15642| 24 | 95 | 413 | 23:23| 40 | 10 | 9 | 631 | Thu | 1744 | 4 | 49 | null | 670 | 45 | ERROR |\n| 2025-01-09| 5009 | ERROR| 17 | 398 | null | 39 | 6 | ERROR| 386 | Fri | null | ERROR| null | null | 2832 | 30 | null |\n| 2025-01-08| 11567| 78 | 45 | 466 | 23:17| 95 | 5 | 2 | 847 | Sat | ERROR| 10 | 16 | null | ERROR| ERROR| 16 |\n| 2025-01-07| ERROR| ERROR| 59 | 323 | null | 90 | 5 | 5 | 265 | Sun | ERROR| 11 | 28 | 3 | 1272 | null | 39 |\n| 2025-01-06| ERROR| 91 | 16 | 497 | 21:27| null | 7 | 4 | 848 | Mon | 609 | 13 | 62 | 6 | 2030 | 60 | 38 |\n| 2025-01-05| ERROR| ERROR| null | 514 | 22:10| null | 7 | 8 | 579 | Tue | null | 6 | 63 | 6 | 848 | 42 | 37 |\n| 2025-01-04| 5136 | 80 | 27 | 477 | 23:28| 14 | 6 | null | 330 | Wed | ERROR| 5 | 59 | 2 | 2414 | 58 | ERROR |\n| 2025-01-03| 1854 | ERROR| 47 | 574 | null | 94 | 6 | 5 | 597 | Thu | 1909 | 12 | 35 | 6 | 970 | 38 | ERROR |\n| 2025-01-02| 4175 | 30 | 84 | 424 | 21:55| 51 | 8 | 4 | ERROR| null | ERROR| 8 | 56 | null | null | 33 | 28 |\n| 2025-01-01| 18330| ERROR| 95 | 440 | 22:37| 47 | 1 | 3 | 990 | Sat | 448 | 5 | 30 | 9 | 1395 | 34 | 49 |\n| 2024-12-31| 6735 | 17 | 26 | 562 | 23:11| 92 | 8 | 7 | 749 | Sun | 1215 | 14 | 13 | 6 | 830 | 28 | 10 |\n| 2024-12-30| 3544 | 96 | 37 | 522 | 22:39| 78 | 1 | 9 | 987 | Mon | 1086 | 9 | 42 | 9 | 1731 | 49 | 14 |\n| 2024-12-29| 2211 | null | 52 | 441 | 21:16| 76 | 9 | null | 233 | Tue | null | 12 | 43 | 4 | 1069 | 15 | 37 |\n| 2024-12-28| 439 | 99 | 60 | 303 | 22:48| 23 | 5 | 7 | 115 | null | null | 8 | 33 | 5 | 1135 | 14 | null |\n| 2024-12-27| 16804| 44 | 97 | 590 | 21:45| 53 | 5 | 8 | 381 | Thu | 739 | 2 | 45 | 4 | 1778 | 33 | 36 |\n| 2024-12-26| 6325 | 24 | null | ERROR| 21:46| null | 9 | 7 | 861 | Fri | ERROR| 14 | 33 | 10 | ERROR| 21 | null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in column-order are respectively as follows: [7607, 6084, 13922, 4502, 77, 25, null, 100, 11, null, null, null, 339, 476, null, 21:23, 22:37, 23:49, 29, null, 4, 8, 6, 6, null, 499, 234, 284, null, 379, 556, 662, 1119, 1853, 1892, 681, 1209, 1, 12, 12, 1, 13, 3, null, 43, 24, 16, 1398, 605, 2389, 25, 26, 17, 43, 26, 36, 12, 11, 21, 52]. Compute the absolute difference between the stdev of column sleep_minutes and column study_minutes, only looking at the days where the number of calories consumed was less than 1800 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:168", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 11, 74, 464, 22:14, 16, 9, 738, 1534, 7, 24, 2, 2025, 57, 57, 2025-01-26, 11662, 11, 33, 587, 23:31, 72, 6, 1, 459, Tue, 797, 11, 48, 8, 1180, 49, 58, 2025-01-25, 2719, 13, 38, 346, 22:45, 16, 5, Wed, 11, 61, 9, 1026, 32, 2025-01-24, 18295, 40, 52, 521, 79, 5, 6, 629, Thu, 1068, 6, 52, 6, 10, 2025-01-23, 17528, 61, 21:57, 64, 5, 9, 592, Fri, 1695, 9, 11, 1705, 55, 55, 2025-01-22, 19207, 39, 70, 507, 22:12, 91, 6, 4, 376, Sat, 694, 15, 15, 6, 708, 19, 58, 2025-01-21, 11722, 69, 10, 318, 23:17, 52, 2, 805, Sun, 1970, 3, 63, 1, 56, 30, 2025-01-20, 19278, 18, 10, 329, 21:15, 23, 8, 10, 819, 1816, 8, 8, 4, 2652, 23, 30, 2025-01-19, 18636, 82, 70, 587, 21:23, 90, 5, Tue, 757, 4, 19, 1, 1906, 37, 49, 2025-01-18, 18070, 38, 95, 341, 4, 758, Wed, 63, 3, 967, 15, 39, 2025-01-17, 5159, 62, 65, 359, 21:28, 69, 6, 1, 514, 326, 6, 14, 10, 47, 51, 2025-01-16, 15608, 95, 29, 585, 22:16, 83, 10, 3, 611, Fri, 23, 9, 985, 26, 54, 2025-01-15, 18825, 80, 94, 462, 22:25, 43, 10, 2, 982, Sat, 868, 4, 21, 4, 55, 33, 2025-01-14, 6307, 11, 84, 455, 23:10, 37, 2, 9, 689, Sun, 1883, 9, 33, 8, 993, 19, 2025-01-13, 5864, 94, 67, 386, 23:21, 66, 10, 5, 549, 507, 61, 10, 761, 34, 36, 2025-01-12, 13326, 89, 49, 485, 21:35, 79, 6, 9, 708, Tue, 1877, 5, 52, 3, 2043, 46, 21, 2025-01-11, 10962, 54, 97, 368, 22:37, 78, 2, 8, 567, Wed, 7, 44, 6, 1745, 40, 56, 2025-01-10, 3408, 53, 79, 548, 65, 8, 2, 369, Thu, 407, 10, 6, 2001, 35, 39, 2025-01-09, 9952, 81, 53, 599, 22:49, 6, 770, Fri, 1150, 5, 49, 7, 1094, 14, 25, 2025-01-08, 11640, 37, 15, 440, 21:28, 56, 937, Sat, 1998, 3, 22, 2566, 38, 2025-01-07, 4028, 19, 86, 516, 89, 8, 2, 509, Sun, 1219, 7, 60, 4, 542, 23, 27, 2025-01-06, 86, 47, 320, 22:48, 25, 9, 7, 426, Mon, 347, 12, 15, 10, 41, 14, 2025-01-05, 9931, 46, 416, 22:27, 19, 10, 435, Tue, 1850, 10, 41, 2, 1583, 33, 21, 2025-01-04, 8762, 37, 45, 412, 22:33, 86, 4, 2, 358, Wed, 1691, 3, 17, 2, 2542, 41, 55, 2025-01-03, 4159, 77, 98, 448, 23:41, 40, 3, 429, Thu, 10, 51, 5, 1230, 43, 34, 2025-01-02, 4449, 35, 52, 435, 21:59, 82, 6, 9, 226, Fri, 1347, 5, 5, 4, 2985, 38, 52].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(23, 7), (20, 14), (20, 8), (5, 4), (3, 16), (19, 6), (4, 15), (10, 6), (9, 8), (10, 12), (7, 7), (22, 1), (20, 7), (20, 16), (4, 5), (12, 12), (3, 9), (17, 11), (4, 17), (19, 8), (10, 5), (10, 11), (11, 10), (18, 5), (10, 8), (15, 10), (18, 12), (23, 2), (21, 5), (7, 15), (12, 11), (5, 2), (3, 11), (3, 8), (22, 15), (14, 17), (5, 14), (9, 9), (1, 1), (8, 10), (1, 7), (25, 8), (11, 15), (1, 10), (25, 11), (13, 15), (15, 12)]. Compute the absolute difference between the sum of column coding_minutes and column phone_screen_time_minutes, only looking at the days where the bed time was between 22:00 and 22:59 (inclusive) and the phone screen time minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:171", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-02| 12906| 78 | 82 | 352 | 22:25| 52 | 5 | 5 | 285 | Tue | 1836 | 1 | 0 | 6 | 2336 | 29 | 19 |\n| 2025-01-27| 11241| 14 | 89 | 418 | 22:37| 10 | 9 | 4 | 217 | null | 771 | 14 | 45 | 7 | 2147 | 45 | 47 |\n| 2025-01-26| 6508 | 76 | 90 | 339 | 23:17| 37 | 7 | 3 | 993 | Thu | 345 | 10 | 46 | 1 | 1171 | 44 | 11 |\n| 2025-01-25| 17153| 62 | 95 | null | 21:33| null | 8 | 8 | 979 | Fri | 969 | 5 | null | 10 | 2842 | 59 | 13 |\n| 2025-01-24| 19158| 31 | 30 | 548 | 21:38| 47 | 9 | 3 | 661 | Sat | 1424 | null | 54 | 4 | 2682 | 56 | 11 |\n| 2025-01-23| 4915 | 70 | null | 583 | 21:38| 63 | 5 | 3 | 155 | null | 1155 | 1 | 24 | 2 | 2029 | 43 | 31 |\n| 2025-01-22| 1364 | 52 | 48 | 359 | 22:14| 54 | 8 | 10 | 376 | null | 364 | 13 | 11 | 9 | 2078 | 39 | 10 |\n| 2025-01-21| 7049 | 97 | 93 | null | null | 19 | 4 | 1 | 748 | Tue | 1461 | 8 | 52 | 3 | 2236 | 60 | null |\n| 2025-01-20| 7579 | null | null | 549 | 23:50| 64 | 2 | 6 | 870 | Wed | 1840 | 11 | 45 | 5 | 2172 | 14 | null |\n| 2025-01-19| 1280 | 53 | 65 | null | 22:29| 40 | 7 | 3 | 489 | Thu | 1241 | 15 | 7 | 1 | null | 41 | 49 |\n| 2025-01-18| 13479| 78 | 15 | null | 23:49| 46 | 2 | 5 | 268 | Fri | null | 3 | 6 | 1 | 2401 | 54 | 27 |\n| 2025-01-17| 1072 | 41 | 95 | 336 | 21:37| 67 | 3 | 3 | 675 | Mon | 1448 | 2 | 21 | 7 | 621 | 27 | 21 |\n| 2025-01-16| 15969| 15 | null | 381 | null | 48 | null | 6 | 393 | Tue | 1194 | null | 15 | 1 | 900 | 59 | 15 |\n| 2025-01-15| 4179 | 93 | 58 | 305 | 23:16| 72 | 6 | 8 | null | Wed | 419 | 5 | 36 | 8 | 1214 | null | null |\n| 2025-01-14| 1277 | 19 | 23 | null | 22:20| 59 | 2 | 5 | 338 | null | 331 | 13 | 33 | 3 | 2966 | 55 | 25 |\n| 2025-01-13| 2203 | 37 | null | 520 | 21:15| 91 | 6 | 7 | 314 | Fri | 1565 | 13 | 61 | null | 1938 | 24 | 20 |\n| 2025-01-12| 7254 | 38 | 62 | 546 | 21:17| 46 | 9 | 4 | 523 | Sat | 824 | 8 | 33 | 2 | null | 42 | 10 |\n| 2025-01-11| 13416| 65 | 58 | 469 | 23:19| 85 | 2 | 3 | 735 | Sun | 869 | 5 | 55 | 5 | 2169 | 54 | 46 |\n| 2025-01-10| 16917| 69 | 87 | 588 | 21:42| 73 | 8 | 6 | null | null | 1462 | null | 42 | 10 | 1056 | 23 | 29 |\n| 2025-01-09| 1127 | null | 74 | 562 | 21:36| 19 | 1 | 4 | 930 | Tue | 1070 | null | 18 | 10 | 2213 | 46 | 52 |\n| 2025-01-08| 17595| 76 | 75 | 462 | 21:50| 54 | null | 3 | 256 | Wed | 304 | 1 | null | 3 | 2705 | null | 34 |\n| 2025-01-07| 3949 | 24 | null | 379 | 22:35| 90 | 7 | 3 | 935 | Thu | 1159 | 12 | 12 | 2 | null | null | 21 |\n| 2025-01-06| 2486 | 88 | 96 | 390 | 22:20| 38 | null | 9 | 682 | Fri | 1949 | 8 | 14 | 1 | 1251 | 35 | 21 |\n| 2025-01-05| 3305 | 29 | 49 | 467 | 23:53| 68 | 1 | 7 | 638 | null | 393 | 15 | null | 2 | 1041 | 23 | 24 |\n| 2025-01-04| 8192 | 35 | 19 | 349 | 21:18| 60 | null | 10 | 744 | Sun | 505 | 5 | 5 | 6 | 2194 | 28 | 23 |\n| 2025-01-03| 12072| 18 | 66 | 545 | null | 99 | 1 | 8 | 135 | Mon | 1594 | 4 | 28 | 7 | null | 42 | 29 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th column were rotated down i times (e.g., for the first column of values, the value at row j was moved to row j+1 and the value in the last row was moved to the first row). Compute the absolute difference between the median of column phone_screen_time_minutes and column coding_minutes, only looking at the days where the study minutes was greater than 20 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:172", "request": "I have a table with 32 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 12, 11, 23:30, 91, 10, 6, 740, 751, 5, 8, 10, 2152, 31, 12, 2025-01-26, 3960, 67, 79, 450, 22:25, 17, 7, 3, Tue, 872, 3, 40, 2, 2591, 55, 38, 2025-01-25, 14014, 90, 48, 542, 23:46, 14, 3, 9, 606, Wed, 1049, 1, 32, 1, 23, 59, 2025-01-24, 10716, 67, 514, 65, 7, 7, Thu, 542, 13, 50, 5, 2443, 40, 50, 2025-01-23, 5477, 40, 62, 589, 23:31, 61, 5, 190, Fri, 1033, 14, 61, 1, 2718, 24, 20, 2025-01-22, 1534, 49, 60, 23:46, 88, 3, 10, 259, Sat, 1872, 14, 24, 6, 2585, 51, 16, 2025-01-21, 4760, 23, 34, 378, 21:57, 67, 9, 1, 663, 1870, 7, 52, 9, 32, 23, 2025-01-20, 4598, 94, 560, 23:11, 55, 9, 6, 910, 791, 12, 17, 5, 2168, 15, 35, 2025-01-19, 99, 17, 307, 21:27, 60, 8, Tue, 1367, 5, 41, 6, 1489, 20, 30, 2025-01-18, 7862, 57, 21:59, 84, 8, 5, 592, Wed, 533, 3, 44, 4, 1230, 12, 14, 2025-01-17, 592, 41, 98, 21:29, 73, 4, 8, 621, Thu, 420, 2, 24, 4, 2032, 51, 40, 2025-01-16, 3333, 22, 43, 460, 22:41, 21, 5, 5, 803, Fri, 525, 7, 3, 538, 51, 21, 2025-01-15, 6754, 74, 23, 447, 23:44, 40, 2, 6, 889, Sat, 1915, 14, 43, 10, 649, 58, 2025-01-14, 9896, 14, 495, 23:47, 88, 6, 9, 829, Sun, 1920, 7, 1, 4, 1234, 49, 2025-01-13, 3299, 98, 18, 383, 14, 7, 4, 734, 1650, 13, 4, 1, 1426, 43, 53, 2025-01-12, 19677, 99, 15, 413, 21:13, 77, 6, 785, Tue, 1246, 8, 1109, 22, 31, 2025-01-11, 15628, 97, 74, 378, 23:35, 6, 10, 929, Wed, 1332, 12, 8, 9, 1601, 32, 2025-01-10, 12356, 62, 78, 450, 21:45, 94, 1, 6, 210, Thu, 307, 12, 5, 1027, 51, 45, 2025-01-09, 13564, 21, 392, 22:57, 11, 6, 7, Fri, 365, 15, 9, 5, 552, 40, 46, 2025-01-08, 14942, 74, 502, 22:16, 26, 8, 9, 192, Sat, 1481, 13, 19, 2, 1192, 21, 21, 2025-01-07, 12848, 54, 66, 421, 23:13, 100, 1, 9, 510, Sun, 720, 12, 46, 6, 2372, 19, 2025-01-06, 4419, 20, 99, 460, 23:27, 52, 1, 1, 343, Mon, 813, 7, 45, 9, 2567, 53, 28, 2025-01-05, 3794, 39, 20, 349, 22:46, 53, 10, 713, 495, 2, 43, 2, 1285, 45, 2025-01-04, 11609, 32, 20, 398, 22:18, 36, 6, 6, 939, Wed, 1713, 4, 22, 7, 1195, 16, 30, 2025-01-03, 7112, 56, 56, 547, 22:23, 53, 2, 10, 418, Thu, 382, 5, 22, 7, 855, 28, 36, 2025-01-02, 9606, 53, 97, 573, 14, 5, 4, 662, Fri, 1396, 27, 6, 1955, 58, 52, 2025-01-01, 12791, 32, 577, 22:29, 47, 1, 2, 400, Sat, 12, 8, 1772, 46, 2024-12-31, 13016, 49, 49, 464, 21:59, 44, 9, 857, Sun, 8, 61, 3, 2282, 33, 56, 2024-12-30, 7760, 12, 27, 514, 21:44, 88, 3, 2, 728, 750, 12, 39, 2908, 54, 59, 2024-12-29, 5127, 24, 25, 545, 23:35, 51, 5, 5, 814, 1805, 5, 33, 1, 2417, 51, 2024-12-28, 4872, 39, 5, 10, 121, Wed, 1424, 3, 9, 4, 52, 54].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(29, 14), (31, 5), (21, 16), (4, 3), (23, 10), (4, 9), (12, 13), (27, 13), (17, 6), (19, 9), (9, 8), (10, 3), (9, 9), (16, 7), (15, 5), (26, 5), (31, 4), (7, 10), (29, 10), (4, 5), (14, 3), (19, 2), (8, 2), (9, 1), (28, 11), (3, 15), (27, 3), (11, 4), (30, 17), (13, 16), (6, 4), (16, 12), (15, 10), (31, 6), (18, 12), (7, 15), (23, 8), (31, 15), (23, 17), (28, 7), (27, 11), (14, 17), (17, 16), (10, 4), (31, 2), (1, 1), (8, 10), (30, 10), (1, 4), (27, 17), (5, 8), (2, 9), (1, 10), (16, 14), (26, 12), (20, 2)]. Compute the absolute difference between the median of column sleep_minutes and column study_minutes, only looking at the days where the number of calories consumed was less than 1800 and the bed time was between 22:00 and 22:59 (inclusive). Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:173", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 6834, 6385, 18647, 6860, 4746, 979, 9991, 16837, 7594, 7075, 12120, 11510, 16093, 10021, 9192, 4937, 13002, 11485, 11879, 10816, 2918, 10905, 3919, study_minutes, 63, 75, 37, 27, 93, 68, 33, 36, 29, 13, 59, 16, 60, 66, 99, 15, 91, 68, 63, 94, 91, 21, 52, exercise_minutes, 65, 22, 28, 98, 42, 43, 32, 76, 51, 23, 82, 37, 24, 37, 14, 82, 39, 26, 45, 96, 75, 40, sleep_minutes, 302, 457, 302, 559, 493, 353, 381, 587, 304, 567, 572, 448, 581, 337, 334, 576, 432, 599, 539, 525, 438, 318, 515, 388, bed_time, 21:39, 23:11, 23:42, 22:43, 22:51, 21:30, 21:38, 21:47, 23:14, 22:19, 22:33, 23:19, 23:41, 22:34, 21:24, 23:45, 21:11, 21:31, 22:25, 21:10, 22:17, 21:12, 22:28, 22:38, num_messages, 26, 94, 54, 57, 82, 42, 84, 36, 78, 39, 66, 38, 72, 96, 70, 87, 82, 66, 23, 70, 98, 77, num_emails, 6, 9, 9, 4, 3, 10, 3, 2, 3, 1, 1, 5, 6, 6, 1, 3, 9, 2, 3, 8, 8, 4, 8, num_calls, 10, 1, 5, 9, 4, 4, 6, 1, 2, 9, 2, 3, 2, 2, 5, 8, 3, 6, 10, 1, calories_burned, 643, 429, 909, 326, 419, 443, 887, 295, 189, 309, 756, 886, 890, 262, 665, 251, 782, 739, 903, 787, 549, 752, 326, weekday, Tue, Wed, Thu, Sat, Sun, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Thu, Fri, Sat, Tue, Wed, calories_consumed, 1847, 1010, 1861, 1496, 579, 1677, 1355, 1723, 814, 362, 800, 654, 1433, 658, 1125, 1080, 650, 1275, 751, 470, 1629, 1154, 1246, 532, num_meetings, 12, 3, 15, 8, 5, 1, 5, 11, 11, 2, 3, 15, 8, 11, 5, 1, 3, 10, 5, 6, 12, 7, 15, coding_minutes, 24, 8, 24, 52, 53, 39, 44, 49, 11, 42, 31, 38, 20, 58, 33, 21, 31, 25, 39, 3, num_tasks_completed, 4, 9, 7, 8, 1, 1, 2, 3, 4, 8, 6, 3, 1, 9, 6, 6, 5, 1, 9, 2, 5, 5, 5, 4, water_intake_ml, 2458, 2869, 1220, 712, 2624, 1809, 838, 2566, 1708, 525, 1849, 1020, 773, 914, 893, 1535, 1739, 1492, 2777, 2525, 1458, 687, 2385, phone_screen_time_minutes, 60, 40, 29, 18, 37, 29, 15, 29, 24, 33, 13, 54, 21, 27, 17, 38, 59, 47, 60, 18, music_listening_minutes, 30, 60, 22, 27, 49, 42, 10, 23, 49, 52, 20, 57, 50, 40, 27, 37, 36, 30, 19, 27, 56, 35, 34, 32].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(21, 10), (21, 13), (23, 16), (23, 13), (5, 10), (25, 10), (18, 4), (15, 8), (7, 16), (6, 8), (18, 13), (23, 3), (21, 6), (21, 15), (22, 10), (5, 3), (10, 8), (24, 7), (11, 16), (11, 13), (2, 16), (15, 7), (15, 1), (2, 13), (16, 12), (15, 10), (1, 8), (14, 2), (22, 9), (4, 1), (21, 17), (12, 8), (14, 5), (5, 14), (8, 10), (19, 16), (24, 6), (24, 3), (13, 9), (24, 12), (1, 10), (6, 6), (13, 15), (7, 11), (20, 2)]. Compute the absolute difference between the median of column coding_minutes and column music_listening_minutes, only looking at the days where the coding minutes was greater than 20 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:180", "request": "I have a table with 34 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, 2024-12-30, 2024-12-29, 2024-12-28, 2024-12-27, 2024-12-26, num_steps, 3722, 2922, 3358, 11139, 1021, null, 15828, 8089, 3570, 7413, null, 10698, 11782, 13372, 1648, 10109, 19658, 11348, 4782, 15184, 3240, 13075, 15091, 19917, 19565, 19225, 8501, null, 12683, 10797, 2076, 15697, 16155, 8, study_minutes, 70, 21, 54, 19, 73, 58, 47, 100, 85, null, 52, 77, 23, 44, 50, 87, 42, null, 34, 52, 98, 90, 73, 55, 52, 71, 89, 61, 51, 57, 100, null, 77, 4, 10, exercise_minutes, 55, 47, 25, 65, 62, 57, 55, 46, 19, 62, 79, 61, 85, 34, 21, 33, 40, null, 81, 85, null, 47, 31, 75, null, 66, 93, 75, 89, 44, 64, 32, 89, 2, -7, 8, sleep_minutes, 369, 519, 580, 368, 556, 461, 597, 407, 417, 592, 321, 419, 477, null, 360, 364, 419, 302, 571, 539, 387, 529, 435, 465, null, 561, null, 460, 404, 312, 332, 570, 315, -10, -4, 7, -2, bed_time, 22:39, 22:42, 22:43, 22:10, 22:34, 22:46, 23:40, 23:25, null, 21:21, 21:20, 21:15, 23:58, 21:25, 21:49, null, 22:36, 23:58, 22:48, 22:38, 21:22, 23:53, 22:15, 21:57, 22:27, 23:46, 23:32, 22:59, 21:30, 23:42, 22:10, 21:35, null, 2, 7, 4, 3, -10, num_messages, null, 94, 99, 76, 54, 14, 22, 40, 86, 88, 97, null, 19, 44, 44, 13, 88, 24, null, 72, 75, 65, 100, 89, 18, 90, 21, 23, 39, 64, 35, 34, 18, -2, -5, -2, 0, 4, -3, num_emails, 9, 3, 9, 9, 1, null, 1, 10, 10, 9, 10, 6, null, 9, 10, 10, 5, 5, 10, 5, 2, 1, 9, 4, 9, 5, 5, 10, 3, 2, 10, null, 7, -10, -3, 6, -3, -8, 9, -10, num_calls, 4, 3, 1, 6, 5, 8, 9, 6, null, 1, null, 3, null, 7, 4, 2, 1, 3, 8, 5, 5, 3, 3, null, 1, 3, 6, 7, 9, 8, 2, null, null, 10, -9, 9, 7, -2, 1, -4, -2, calories_burned, 478, 631, 718, 201, 281, 608, 723, 511, 841, 459, null, 331, 453, null, 345, 742, 437, 189, 174, 588, 311, 511, 816, 249, 950, 810, 472, 520, 526, 520, 584, 823, 164, -4, 8, -7, -7, -4, 5, 9, -1, -9, weekday, null, Tue, Wed, Thu, Fri, null, Sun, null, Tue, null, null, Fri, Sat, Sun, Mon, Tue, Wed, null, Fri, Sat, Sun, Mon, Tue, Wed, null, Fri, Sat, null, Mon, Tue, Wed, Thu, Fri, -10, -4, -5, 3, -10, -5, 3, -1, -2, 4, calories_consumed, 1706, 1572, 428, 438, 1292, 383, 1799, 632, 1152, 1438, null, 1006, 1728, 801, 1296, 611, 538, 481, 1881, 1848, 1508, 1170, 906, 1606, 1184, 1602, 461, 1365, 1895, 1087, 1348, 614, 1351, 7, 0, -9, -10, 6, -7, -7, -5, -1, 1, 8, num_meetings, 4, 10, 3, 9, 1, 11, 15, 11, 12, 9, 2, 14, 2, 5, 10, 13, 10, 8, 4, 5, 11, 2, 4, null, 8, 12, 13, null, 8, 2, 15, 3, 5, -6, 7, 1, 3, 7, -4, 10, 4, -9, -7, 1, 10, coding_minutes, 52, 14, 38, 50, 45, 31, 46, 53, null, 3, null, 62, 4, 31, 20, 28, 40, 56, 25, null, 52, 13, null, 1, 49, 39, 1, 6, null, 60, 58, 9, 41, 10, -6, -6, -3, -10, 1, -1, 0, -2, 1, -10, 2, -10, num_tasks_completed, 3, 1, 5, 3, 5, 7, 6, 10, 10, 2, null, 5, 4, null, 1, null, 4, 5, null, 4, null, 3, 5, 8, 2, 5, 4, null, 10, 6, 6, 3, 8, 7, 10, -9, -10, 0, 6, -10, -5, 0, 9, -10, -5, -8, 7, water_intake_ml, 1464, 2311, 2203, 550, null, 2367, 1148, 1449, 1430, 2788, 803, 942, 1818, 2940, 1246, 716, 2583, 821, 1109, 2283, 1257, 1212, 1524, 832, 1695, null, 2812, 1997, 1082, 2396, 621, 1050, 701, -10, 2, 8, -7, -4, 4, -6, -5, -4, 10, 10, 5, 1, -4, -10, phone_screen_time_minutes, 58, null, 25, 26, 60, 56, 44, 23, null, 41, 11, 25, null, 18, 59, 35, 29, 24, 10, 42, 16, 51, 57, 60, 34, 53, 41, 42, 15, 34, 53, 17, 49, 2, -7, 7, -1, 0, 6, 3, 6, -3, -2, -9, 9, -6, 7, -9, -7, music_listening_minutes, 36, 24, 14, 34, 56, 53, 28, 24, 58, 18, 42, 16, 33, null, null, null, 22, 34, 19, 41, 24, 51, 14, 31, 59, 59, 18, 21, 21, null, 27, 12, 41, 3, -5, 7, 9, 10, 2, -10, 8, 7, -10, -4, -2, -1, -4, -5, -7, 6].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the median of column phone_screen_time_minutes and column study_minutes, only looking at the days where the number of calories consumed was less than 1800 and the music listening minutes was greater than 25. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:181", "request": "I have a table with 30 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 2122, 72, 59, 583, 87, 9, 3, 1393, 12, 3, 6, 15, 41, 2025-01-26, 17834, 35, 91, 513, 23:43, 68, 6, 2, 280, Tue, 640, 8, 6, 10, 2125, 17, 56, 2025-01-25, 16304, 36, 11, 531, 21:17, 88, 6, 8, 399, Wed, 300, 13, 41, 4, 1706, 31, 33, 2025-01-24, 16507, 72, 89, 588, 3, 3, 840, Thu, 847, 6, 62, 3, 1546, 44, 2025-01-23, 5410, 45, 99, 551, 22:10, 99, 5, 4, 259, Fri, 551, 2, 1, 9, 2330, 39, 2025-01-22, 2291, 89, 18, 22:35, 57, 10, 6, 791, Sat, 877, 1, 5, 10, 2178, 10, 56, 2025-01-21, 17056, 40, 54, 23:33, 47, 4, 1, 112, Sun, 692, 10, 1, 1706, 24, 25, 2025-01-20, 5103, 53, 514, 77, 2, 4, 352, Mon, 446, 12, 35, 7, 1898, 43, 20, 2025-01-19, 919, 75, 45, 321, 96, 7, 9, 268, Tue, 672, 4, 54, 3, 815, 34, 14, 2025-01-18, 17848, 81, 503, 21:52, 16, 8, 3, 996, Wed, 826, 12, 5, 9, 774, 31, 60, 2025-01-17, 4118, 52, 23, 410, 3, 6, 744, Thu, 721, 5, 38, 4, 1358, 55, 44, 2025-01-16, 12810, 91, 503, 22:12, 68, 10, 3, 555, Fri, 1613, 12, 27, 8, 528, 36, 24, 2025-01-15, 7895, 23, 21, 558, 23:32, 4, 3, Sat, 1587, 1, 10, 4, 2295, 11, 39, 2025-01-14, 8102, 73, 71, 480, 21:55, 88, 1, 2, 637, 1468, 7, 18, 2, 901, 40, 28, 2025-01-13, 11583, 38, 73, 23:45, 59, 9, 1, 382, 1557, 5, 5, 1520, 20, 42, 2025-01-12, 45, 45, 511, 22:46, 71, 7, 4, Tue, 15, 50, 2, 2528, 21, 28, 2025-01-11, 239, 11, 19, 358, 23, 8, 406, 913, 2, 1, 6, 2060, 51, 27, 2025-01-10, 5522, 44, 80, 424, 22:20, 30, 4, 5, Thu, 743, 30, 10, 1060, 16, 2025-01-09, 14414, 52, 60, 584, 22:16, 8, 8, 783, Fri, 10, 34, 5, 2575, 23, 2025-01-08, 55, 15, 363, 23:19, 77, 7, 7, 798, Sat, 1034, 4, 1, 1436, 38, 55, 2025-01-07, 17397, 62, 21:41, 63, 2, 8, 185, Sun, 1978, 12, 25, 7, 17, 17, 2025-01-06, 10663, 83, 32, 319, 22:56, 49, 9, 9, 998, 1620, 14, 7, 10, 681, 43, 52, 2025-01-05, 15025, 89, 44, 399, 22:29, 58, 2, 1, 119, Tue, 970, 10, 31, 2925, 14, 30, 2025-01-04, 3820, 49, 57, 511, 21:57, 49, 3, 4, 749, Wed, 5, 3, 527, 35, 37, 2025-01-03, 16841, 12, 62, 389, 23:51, 45, 5, 9, 225, Thu, 424, 12, 52, 2500, 57, 30, 2025-01-02, 11, 24, 392, 23:15, 20, 8, 8, 396, Fri, 420, 1, 10, 2413, 46, 2025-01-01, 7703, 78, 10, 563, 23:28, 72, 8, 4, 618, Sat, 1248, 5, 47, 8, 2135, 34, 60, 2024-12-31, 13262, 95, 13, 517, 23:57, 71, 8, 5, 960, 473, 7, 31, 1, 1680, 35, 43, 2024-12-30, 19718, 95, 94, 523, 23:36, 56, 9, 7, 514, 746, 60, 1, 1379, 21].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(4, 6), (14, 10), (19, 6), (9, 5), (8, 3), (5, 16), (11, 5), (24, 11), (1, 9), (16, 1), (24, 14), (7, 4), (1, 15), (20, 1), (26, 17), (20, 13), (7, 13), (29, 16), (18, 16), (29, 10), (21, 15), (4, 5), (22, 10), (17, 5), (4, 17), (17, 8), (8, 5), (10, 2), (19, 11), (26, 1), (1, 5), (15, 4), (16, 9), (26, 13), (6, 4), (15, 13), (18, 9), (15, 10), (21, 2), (18, 12), (12, 2), (29, 12), (23, 14), (17, 10), (28, 10), (19, 16), (11, 6), (13, 9), (25, 14), (1, 10), (13, 6), (21, 4), (16, 11)]. Compute the absolute difference between the mean of column phone_screen_time_minutes and column exercise_minutes, only looking at the days where the music listening minutes was greater than 25 and the number of emails was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:182", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 9002 && 6540| 75 && 10| 89 && null| 521 && 349| 21:15 && 21:43| 17 && 81| 1 && 8| 3 && null| 601 && 596| null && Tue| null && 1748| 6 && 7| 8 && 26| 1 && 6| 2500 && 2058| 40 && 37| 58 && 49 |\n| 2025-01-25 && 2025-01-24| 19373 && 17976| 43 && 20| null && 49| 394 && 566| 21:48 && 23:18| 32 && 90| 1 && 3| 8 && 1| 868 && 348| Wed && Thu| 524 && 476| 14 && 6| 62 && 18| 1 && 9| 1484 && 861| 11 && null| null && 55 |\n| 2025-01-23 && 2025-01-22| 327 && 6968| 19 && 23| 58 && 75| 365 && 338| 23:24 && 21:14| 80 && 32| 4 && 2| 2 && 5| 196 && 322| Fri && Sat| null && 1195| 1 && null| 12 && 50| 1 && null| 2637 && 1559| 27 && 48| 45 && 39 |\n| 2025-01-21 && 2025-01-20| 2106 && 5682| 10 && 26| 93 && 56| 493 && 359| 21:48 && 22:26| 49 && 35| null && 5| 8 && 3| null && 635| Sun && Mon| 1267 && 1612| 3 && 14| 29 && 8| 2 && 10| 2657 && 2186| 40 && 53| 46 && 55 |\n| 2025-01-19 && 2025-01-18| 11771 && 13055| 59 && 13| null && null| 409 && 313| 22:54 && null| 85 && 80| 2 && null| 3 && 4| 959 && 856| Tue && Wed| 1302 && 1103| 11 && 8| 53 && null| 10 && 9| 1187 && 1563| 37 && 19| 59 && 57 |\n| 2025-01-17 && 2025-01-16| 10220 && 9593| 82 && 22| 67 && 77| 506 && 311| 21:12 && 21:59| 62 && 51| 7 && 8| 10 && 3| 913 && 157| Thu && Fri| 1778 && 1429| 4 && 11| 11 && 1| 10 && 6| 2541 && 1609| 51 && 16| 13 && 10 |\n| 2025-01-15 && 2025-01-14| 12186 && 7451| 68 && 10| 63 && 22| null && 439| 21:19 && 21:32| 27 && 48| 2 && 2| 9 && 7| null && 736| Sat && null| 844 && 1395| 1 && 6| 40 && 21| 3 && null| 1608 && 1427| 60 && 56| 38 && 36 |\n| 2025-01-13 && 2025-01-12| 19769 && 7354| 93 && 48| 54 && 85| 546 && 401| 21:25 && 23:21| 84 && 10| null && 2| 1 && 5| 382 && 907| null && Tue| 466 && 1066| 9 && 12| 46 && 16| 6 && 4| 2275 && null| 32 && null| 55 && 10 |\n| 2025-01-11 && 2025-01-10| 6803 && 5910| 73 && 17| 36 && 32| 417 && 513| 21:15 && 21:52| 14 && 26| null && 3| 1 && 8| null && 240| Wed && null| 706 && 1758| 13 && 10| 36 && 59| 8 && 4| 1689 && 878| 56 && 13| 56 && 56 |\n| 2025-01-09 && 2025-01-08| null && 2424| 25 && 98| null && 25| 532 && 579| 22:44 && 21:51| 94 && 46| null && 4| 8 && 5| 241 && 320| Fri && null| null && 1637| 1 && 12| 43 && 14| 3 && 9| null && 1197| 51 && 51| 36 && 27 |\n| 2025-01-07 && 2025-01-06| 8923 && 18229| 52 && 52| null && 95| 556 && 508| 23:37 && 21:19| null && null| 9 && 2| 10 && 6| 234 && 741| Sun && null| 726 && null| 3 && 3| 63 && 58| 3 && 1| 920 && null| 33 && 12| 53 && null |\n| 2025-01-05 && 2025-01-04| 1868 && 15763| 27 && 35| 58 && 31| 339 && 461| 22:40 && 21:52| 61 && null| 9 && 3| 9 && 8| 885 && 184| null && Wed| 364 && null| 8 && 13| 5 && null| 7 && 8| 1605 && 1155| 42 && 36| 24 && 18 |\n| 2025-01-03 && null| 4955 && null| 72 && null| 95 && null| 425 && null| 22:14 && null| 61 && null| 5 && null| 7 && null| 815 && null| Thu && null| 529 && null| 8 && null| 45 && null| 7 && null| 607 && null| 60 && null| 20 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the sum of column exercise_minutes and column music_listening_minutes, only looking at the days where the number of tasks completed was greater than 3 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:183", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 13923, 9447, 7914, 16494, 10640, 11406, 12399, 13107, 12798, 12499, 15736, 13787, 2359, 18316, 18068, 15147, 19556, 5173, 12379, 8589, study_minutes, 44, 97, 52, 61, 66, 19, 13, 16, 44, 71, 58, 52, 22, 89, 72, 73, 30, 18, 30, 74, 67, 70, 71, exercise_minutes, 26, 95, 32, 67, 86, 74, 60, 15, 82, 16, 35, 23, 26, 46, 52, 52, 93, 15, 44, 75, 68, 73, 36, sleep_minutes, 303, 347, 452, 599, 500, 567, 332, 394, 590, 441, 468, 517, 377, 373, 468, 382, 450, 372, 460, 353, 438, 463, 479, bed_time, 23:43, 22:53, 21:19, 21:11, 22:58, 23:33, 21:12, 21:47, 21:49, 22:31, 23:53, 23:20, 23:50, 22:22, 21:27, 21:44, 22:35, 22:30, 22:21, 22:57, 23:25, 23:38, 23:22, 22:31, num_messages, 51, 42, 28, 95, 44, 22, 47, 82, 41, 24, 13, 41, 45, 86, 19, 82, 84, 18, 62, 26, 91, 61, 10, num_emails, 10, 6, 4, 7, 8, 8, 10, 1, 7, 9, 3, 1, 4, 1, 5, 3, 6, 8, 2, 2, 9, 9, 1, 2, num_calls, 2, 1, 1, 1, 5, 2, 2, 7, 9, 6, 3, 4, 4, 6, 2, 5, 8, 6, 8, 2, 2, 9, 5, calories_burned, 314, 511, 593, 939, 775, 988, 470, 352, 201, 610, 133, 475, 198, 938, 845, 415, 412, 937, 619, 851, weekday, Tue, Wed, Thu, Fri, Sat, Sun, Wed, Thu, Sat, Sun, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Thu, calories_consumed, 1345, 853, 543, 1900, 1246, 1297, 410, 1083, 1643, 744, 1873, 1163, 1083, 1200, 1309, 1509, 373, 410, 1808, 415, 1410, 1914, num_meetings, 2, 1, 2, 12, 1, 4, 12, 15, 3, 10, 3, 12, 14, 12, 7, 1, 12, 3, 1, 5, 9, 14, 13, coding_minutes, 2, 6, 39, 32, 60, 26, 59, 63, 35, 1, 30, 57, 46, 23, 34, 16, 15, 29, 11, 25, 54, 51, 56, 16, num_tasks_completed, 1, 10, 2, 2, 10, 5, 8, 5, 8, 1, 10, 8, 4, 3, 10, 3, 6, 7, 2, 5, 5, 4, 1, 6, water_intake_ml, 812, 1319, 2585, 2154, 2321, 519, 777, 2883, 2992, 2268, 2919, 1302, 1348, 2216, 2240, 785, 2609, 2028, 2097, 2119, phone_screen_time_minutes, 56, 18, 18, 25, 25, 22, 35, 38, 17, 59, 13, 50, 38, 44, 59, 22, 27, 22, 10, 48, 47, 46, 52, music_listening_minutes, 19, 12, 24, 60, 14, 57, 14, 42, 33, 60, 16, 56, 35, 15, 44, 48, 19, 49, 14, 48, 16, 54].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(22, 8), (7, 17), (12, 10), (20, 17), (3, 7), (17, 9), (22, 17), (10, 3), (10, 9), (11, 14), (10, 12), (24, 5), (11, 11), (2, 8), (19, 15), (7, 1), (20, 1), (12, 6), (17, 2), (22, 10), (23, 15), (8, 2), (17, 11), (11, 1), (9, 10), (13, 4), (15, 4), (16, 9), (13, 16), (16, 6), (15, 10), (16, 15), (7, 12), (22, 9), (4, 1), (20, 15), (8, 1), (9, 9), (8, 10), (8, 16), (19, 13), (11, 15), (1, 10), (25, 11), (6, 3)]. Compute the absolute difference between the sum of column phone_screen_time_minutes and column sleep_minutes, only looking at the days where the number of tasks completed was greater than 3 and the number of calls was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:185", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 18880, 4276, 1611, 12066, 4666, 11283, 3496, 18608, 4442, 621, 12414, 15305, 5022, 3903, 1082, 6929, 1137, 2008, 5302, 7955, 14183, 16307, study_minutes, 23, 33, 46, 34, 47, 83, 43, 80, 24, 50, 64, 72, 10, 42, 79, 39, 95, 64, 82, 72, exercise_minutes, 20, 86, 74, 24, 14, 63, 27, 88, 45, 93, 95, 64, 42, 43, 99, 35, 61, 70, 26, 47, 99, 25, 87, sleep_minutes, 527, 520, 514, 348, 415, 413, 557, 429, 316, 321, 479, 550, 537, 460, 396, 548, 361, 396, 350, 339, 499, 422, 459, bed_time, 22:55, 22:23, 21:38, 21:29, 23:49, 21:47, 22:35, 22:32, 21:32, 22:49, 23:58, 23:33, 21:58, 23:29, 22:20, 21:42, 22:32, 23:26, 22:55, 22:29, 21:10, 23:40, 23:39, num_messages, 18, 68, 62, 28, 75, 25, 33, 73, 55, 87, 42, 11, 61, 62, 35, 57, 34, 81, 63, 81, 54, 74, 71, num_emails, 8, 5, 5, 5, 10, 9, 2, 6, 5, 9, 7, 2, 9, 3, 7, 3, 6, 3, 7, 2, 1, 8, 10, num_calls, 3, 5, 10, 3, 4, 2, 2, 8, 6, 6, 8, 9, 5, 10, 8, 5, 7, 4, 8, 4, 3, 7, 3, 3, 1, calories_burned, 689, 495, 788, 413, 995, 758, 249, 793, 505, 545, 668, 721, 345, 391, 641, 217, 266, 956, 117, 524, 775, 848, 606, 180, 565, weekday, Mon, Tue, Wed, Thu, Fri, Sat, Wed, Sat, Sun, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Thu, calories_consumed, 793, 1172, 1141, 1324, 1211, 1875, 468, 1372, 932, 835, 1291, 385, 1565, 740, 1660, 509, 1752, 1246, 759, 1072, 332, 1110, num_meetings, 12, 8, 7, 15, 14, 9, 14, 10, 14, 15, 13, 10, 9, 5, 7, 13, 8, 10, 5, 8, 10, 15, 11, 4, coding_minutes, 42, 30, 18, 49, 4, 33, 15, 52, 7, 13, 8, 10, 50, 5, 64, 18, 32, 54, 19, 15, 60, num_tasks_completed, 3, 8, 7, 7, 4, 2, 7, 6, 6, 3, 9, 4, 8, 3, 7, 8, 5, 8, 9, 8, 1, 5, 1, water_intake_ml, 2876, 2895, 2992, 2280, 2645, 1330, 1708, 669, 1927, 1211, 2649, 2945, 2106, 2175, 2282, 1178, 1192, 1880, 714, phone_screen_time_minutes, 41, 18, 34, 46, 20, 43, 49, 20, 57, 48, 43, 59, 59, 39, 48, 10, 56, 42, 10, 48, 32, 18, 17, 26, music_listening_minutes, 44, 24, 42, 40, 60, 58, 46, 48, 43, 18, 30, 42, 18, 50, 11, 49, 45, 30, 51, 35, 53, 52, 18].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(14, 4), (22, 5), (21, 13), (12, 10), (3, 1), (10, 6), (24, 2), (9, 17), (19, 15), (2, 11), (24, 11), (25, 16), (18, 4), (18, 7), (7, 10), (4, 2), (6, 17), (22, 10), (12, 15), (5, 3), (19, 2), (8, 2), (9, 10), (8, 14), (10, 11), (11, 10), (11, 13), (6, 1), (24, 10), (15, 7), (7, 3), (24, 13), (15, 10), (13, 15), (18, 6), (18, 12), (18, 15), (20, 15), (5, 2), (4, 13), (8, 10), (16, 5), (2, 15), (16, 14), (21, 1)]. Compute the absolute difference between the median of column coding_minutes and column music_listening_minutes, only looking at the days where the study minutes was greater than 20 and the number of calories consumed was less than 1800. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:186", "request": "I have a table with 36 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 8171 && 5306| 62 && 73| null && null| 354 && 495| 22:16 && 23:27| 44 && 65| 6 && 6| 8 && 8| 697 && 167| null && Tue| 304 && 618| 12 && 1| 7 && 33| 6 && 4| 2036 && 1827| 41 && 55| 39 && 44 |\n| 2025-01-25 && 2025-01-24| 19311 && 4818| 86 && 66| 65 && null| 501 && 411| null && 21:37| 81 && 21| 8 && 3| 10 && null| 361 && 318| Wed && Thu| 915 && 422| 3 && 8| 18 && 26| 1 && 3| 2031 && 2565| 18 && 38| 54 && 55 |\n| 2025-01-23 && 2025-01-22| 17605 && null| 62 && 19| 81 && 26| 346 && 591| 23:32 && 23:12| 76 && 73| 2 && 2| 7 && 1| 624 && 836| Fri && Sat| 636 && 505| 15 && 13| 47 && 51| 6 && 9| 2779 && null| 17 && 50| 14 && 52 |\n| 2025-01-21 && 2025-01-20| null && 4222| 86 && 81| 56 && 13| 300 && 516| 23:26 && null| 48 && 37| null && 3| 9 && 5| 413 && 321| Sun && null| 849 && 1299| 10 && null| 63 && 24| 3 && 8| 2842 && 1390| 48 && 51| 47 && 33 |\n| 2025-01-19 && 2025-01-18| 14751 && 13032| 50 && 36| 94 && 79| 599 && 394| 22:40 && 21:49| 51 && 47| null && 6| 1 && 8| null && 853| Tue && Wed| null && 1953| 8 && 2| 60 && 31| 2 && 1| 1540 && null| 33 && 32| 36 && 31 |\n| 2025-01-17 && 2025-01-16| 8080 && 17284| 63 && 70| 62 && 75| 357 && 358| 21:29 && 22:31| 54 && 24| 1 && 8| 9 && 7| 394 && 996| Thu && Fri| null && 1488| 3 && 4| 55 && 30| null && 7| null && 1711| 17 && 34| 11 && 59 |\n| 2025-01-15 && 2025-01-14| null && 7503| 86 && 23| 80 && null| 528 && 365| 21:12 && 21:55| 54 && 46| 4 && 1| 1 && 8| null && null| Sat && Sun| 569 && 1289| 11 && 13| 31 && 63| 7 && null| 1452 && 871| 52 && 52| null && 53 |\n| 2025-01-13 && 2025-01-12| 10017 && 1556| 65 && 76| 53 && 71| 571 && 550| null && 22:23| null && 15| 9 && null| 5 && 5| 980 && 215| null && Tue| null && 1553| 4 && 13| 39 && 39| 3 && 2| null && 2704| 17 && 59| null && 50 |\n| 2025-01-11 && 2025-01-10| 3983 && 15918| 80 && 15| 97 && 34| 427 && 424| 22:38 && 22:48| 68 && 25| 10 && null| 2 && 5| 546 && 482| Wed && Thu| 1781 && 1499| 14 && 10| 51 && null| null && 7| 1700 && 2349| 50 && 31| 35 && 36 |\n| 2025-01-09 && 2025-01-08| 6916 && 18361| 82 && 75| 96 && 41| 560 && 329| 23:25 && 23:36| 36 && 45| 2 && 9| 9 && 10| 208 && null| Fri && Sat| 1955 && 816| null && 1| 46 && null| 1 && 4| 1705 && 1050| 18 && 28| 54 && 56 |\n| 2025-01-07 && 2025-01-06| 11216 && 2967| null && 12| 41 && 12| 558 && 564| 22:40 && 23:38| 41 && null| 2 && 2| 5 && 9| 758 && 440| Sun && null| 1792 && 332| 15 && 8| 61 && 33| 3 && 7| 2906 && null| 32 && 58| 17 && 24 |\n| 2025-01-05 && 2025-01-04| 17271 && 14177| 12 && null| 44 && 70| 467 && 506| 23:39 && 21:35| 63 && 39| 2 && 8| 2 && 1| 818 && 680| Tue && Wed| 1625 && null| 7 && 5| 64 && 18| 5 && 5| 1822 && 2794| 23 && 43| 24 && 16 |\n| 2025-01-03 && 2025-01-02| 1689 && 17878| 66 && 98| 10 && 92| 354 && null| 22:26 && 22:13| 90 && 100| 10 && 2| 8 && 8| 842 && 849| Thu && Fri| 1250 && 750| 1 && 8| 37 && 49| null && 4| null && 2008| 53 && 33| 52 && 21 |\n| 2025-01-01 && 2024-12-31| 3604 && 14538| null && 87| 97 && 74| 560 && 320| 23:43 && 22:45| 79 && 54| 8 && 4| 10 && 3| 451 && 106| Sat && Sun| 1241 && 978| 14 && 4| 43 && 52| null && null| 2237 && null| 38 && 50| null && 36 |\n| 2024-12-30 && 2024-12-29| 8002 && 4613| 27 && 96| 88 && 50| 318 && 589| 21:56 && 21:56| null && 78| 5 && 4| 4 && 1| 923 && null| null && null| 1643 && 1314| 14 && 15| 61 && 48| null && 8| 1285 && 2753| 42 && 24| 12 && 41 |\n| 2024-12-28 && 2024-12-27| null && 3220| 24 && 36| 55 && 10| 419 && 545| null && 21:52| 75 && 54| 5 && 1| 6 && 9| 362 && 255| Wed && Thu| 1888 && 952| 12 && 13| 48 && 32| 7 && 8| 1020 && 1040| 57 && 45| 13 && 28 |\n| 2024-12-26 && 2024-12-25| 13334 && 10634| 65 && 61| null && 99| 597 && 490| 23:14 && 23:56| null && 87| 5 && 10| 6 && 10| 898 && 914| Fri && Sat| 573 && 503| 4 && 4| 7 && 50| 7 && 7| 1198 && 913| 24 && 47| 19 && 30 |\n| 2024-12-24 && null| 16351 && null| 100 && null| 84 && null| null && null| 21:10 && null| 59 && null| 5 && null| 7 && null| 617 && null| Sun && null| 1155 && null| 2 && null| 15 && null| 7 && null| 1173 && null| 39 && null| 43 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the sum of column sleep_minutes and column music_listening_minutes, only looking at the days where the number of meetings was greater than 2 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:187", "request": "I have a table with 34 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27 && 2025-01-26| 15942 && 19894| 34 && 53| 83 && 78| 358 && 396| 21:19 && 23:34| 35 && null| 9 && 8| 1 && 8| null && 557| null && Tue| 1617 && null| 8 && 12| 27 && null| 6 && 6| 1015 && 642| 42 && null| 28 && 22 |\n| 2025-01-25 && 2025-01-24| 1920 && 2823| 60 && 88| 74 && 10| null && 584| 22:50 && 21:40| 50 && 50| 2 && 1| null && 5| null && 850| Wed && Thu| 1446 && 385| 3 && 3| 47 && 44| 9 && 7| 2727 && 527| 46 && 54| 47 && 56 |\n| 2025-01-23 && 2025-01-22| 14032 && 11111| 96 && 20| 24 && 58| 385 && 466| 21:30 && 21:46| 18 && 59| 5 && null| 7 && 6| 531 && 174| Fri && Sat| null && 1133| 15 && 1| 48 && 44| 5 && 8| 646 && 2263| 54 && 13| 56 && 50 |\n| 2025-01-21 && 2025-01-20| 16180 && 3463| 44 && 52| 15 && 48| null && 396| 21:36 && 22:44| 47 && 39| 4 && 3| 2 && 8| 985 && null| Sun && null| 476 && 984| 7 && 7| 63 && 10| 6 && 3| 2761 && 2112| 27 && 17| 36 && 10 |\n| 2025-01-19 && 2025-01-18| null && 18318| 83 && null| 78 && 34| 598 && 431| 22:40 && 23:49| 23 && 58| 5 && 8| 1 && 7| 309 && 459| Tue && Wed| 595 && 474| null && 13| 11 && 53| 5 && 10| 1240 && 2692| 16 && 37| 49 && 41 |\n| 2025-01-17 && 2025-01-16| 18065 && 7779| 30 && null| 41 && 70| 568 && 524| 22:43 && 21:39| 61 && 70| 6 && 7| 4 && 6| 115 && 943| Thu && Fri| null && 1077| 12 && 8| 6 && 25| 6 && 6| 876 && null| null && 53| 30 && 48 |\n| 2025-01-15 && 2025-01-14| 13319 && 3761| 84 && 67| null && null| 526 && 514| 23:37 && 21:10| null && 91| 4 && 4| 10 && 5| 274 && 832| Sat && Sun| 1908 && 1957| 4 && 10| 10 && 20| null && null| 2333 && 799| 37 && 60| 28 && 46 |\n| 2025-01-13 && 2025-01-12| 18522 && 7602| 20 && 91| 100 && 94| 451 && null| 21:16 && 23:16| 62 && 92| 8 && null| 4 && 8| 634 && 141| Mon && Tue| 1558 && 589| 13 && 14| 41 && 1| 5 && 4| 1470 && 1222| 44 && 27| null && 48 |\n| 2025-01-11 && 2025-01-10| 9715 && null| 49 && null| 44 && 52| 600 && 558| 22:39 && 22:40| 63 && 18| 9 && 6| 1 && 7| 375 && 580| Wed && Thu| 1201 && 553| 15 && 1| 62 && 0| 10 && 6| 2118 && 1299| 39 && 46| 10 && 54 |\n| 2025-01-09 && 2025-01-08| 12308 && 1017| 85 && null| 50 && 17| null && 300| 23:11 && 23:33| 95 && 54| 10 && 2| 9 && 5| 683 && 948| Fri && Sat| 787 && 1174| 3 && 4| 25 && 64| 7 && null| 1085 && 500| 40 && 11| 46 && 33 |\n| 2025-01-07 && 2025-01-06| 14363 && 7700| 34 && 36| 39 && 57| 346 && 476| 23:58 && 22:58| 64 && 41| 3 && 7| 1 && 9| 134 && 727| Sun && null| null && 1190| 1 && 11| 43 && 21| 2 && 4| 1870 && 1820| 11 && 42| 20 && 33 |\n| 2025-01-05 && 2025-01-04| 3510 && 15091| 17 && 49| 99 && 86| 312 && null| 21:14 && 21:23| 88 && 77| null && 9| 2 && 1| null && 690| Tue && Wed| 1970 && 1911| 15 && 13| 12 && 45| 8 && 6| 1908 && 2808| 31 && 16| 13 && 11 |\n| 2025-01-03 && 2025-01-02| 6410 && 19812| 91 && 93| 36 && 14| 306 && null| 23:35 && 23:36| null && 13| 1 && 2| 7 && 4| 421 && null| Thu && null| 1621 && null| 3 && 4| 46 && 31| null && 8| null && 1324| 18 && 42| 31 && 53 |\n| 2025-01-01 && 2024-12-31| 4994 && 19228| 51 && 55| 10 && 83| 528 && 456| 21:57 && 21:37| 78 && 76| null && 1| 8 && 7| null && 710| Sat && Sun| null && null| 12 && 1| null && 49| 10 && 9| 2339 && null| 20 && 12| 24 && 15 |\n| 2024-12-30 && 2024-12-29| null && 6789| null && 58| 77 && null| 585 && 397| 21:54 && 23:36| 11 && 35| null && 7| 5 && 1| 453 && 511| Mon && Tue| 355 && 777| 6 && 8| 37 && 63| 9 && 6| 594 && 1988| 32 && 25| 47 && 38 |\n| 2024-12-28 && 2024-12-27| null && 6971| 88 && 39| null && 39| 334 && 332| 22:58 && 23:25| 76 && 36| 4 && 1| 3 && 9| 519 && 157| Wed && Thu| 1218 && 429| 1 && 9| 12 && 52| 9 && 4| 2149 && null| 53 && 28| 20 && 54 |\n| 2024-12-26 && null| 2053 && null| 71 && null| null && null| 449 && null| 22:17 && null| 17 && null| 1 && null| 7 && null| 250 && null| Fri && null| 751 && null| 4 && null| 47 && null| 5 && null| 910 && null| 31 && null| 48 && null |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly merged every two rows of values (not including the header) into one row by placing the values of the second row after the first row separated by \" && \". In the case of an odd number of rows, the last row was merged with a row full of \"null\" values. Compute the absolute difference between the sum of column sleep_minutes and column music_listening_minutes, only looking at the days where the phone screen time minutes was greater than 25 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the sums cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:190", "request": "I have a table with 29 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2025-01-27| 16021| 54 | 53 | 540 | 22:46| null | 6 | 1 | 296 | null | null | 14 | 5 | 2 | 1939 | 52 | 57 |\n| 2025-01-26| 16002| 60 | 72 | 478 | 22:31| ERROR| 5 | 3 | 719 | Tue | 1802 | 11 | 57 | null | 1925 | 30 | 60 |\n| ERROR| 1140 | 90 | 23 | 564 | 21:41| 40 | 6 | 4 | ERROR| ERROR| 1101 | 7 | 15 | 1 | 1025 | 32 | null |\n| 2025-01-24| 11342| 41 | 25 | 316 | 21:23| null | null | 2 | 739 | Thu | 1131 | ERROR| 4 | 1 | ERROR| 30 | 58 |\n| ERROR| ERROR| 63 | 28 | 467 | null | 74 | 5 | ERROR| 580 | Fri | 1508 | null | ERROR| 5 | 2481 | 54 | 34 |\n| 2025-01-22| null | 89 | 58 | 439 | 21:14| ERROR| 4 | 2 | 348 | Sat | 647 | 14 | 58 | 5 | 529 | 44 | 16 |\n| 2025-01-21| 5871 | ERROR| 31 | 438 | 21:36| null | 2 | 2 | 954 | Sun | 1273 | 13 | 36 | ERROR| 1842 | 20 | 50 |\n| 2025-01-20| 16410| 65 | 57 | 359 | 21:50| ERROR| 3 | 7 | 209 | null | 1711 | 12 | 52 | 4 | ERROR| ERROR| ERROR |\n| ERROR| 10850| 36 | null | 473 | 22:13| 92 | 2 | 4 | 615 | null | 1591 | 9 | 32 | 5 | ERROR| 54 | 16 |\n| 2025-01-18| 8114 | ERROR| 79 | 457 | ERROR| 52 | 5 | 10 | 977 | Wed | ERROR| 7 | ERROR| null | 1707 | null | null |\n| 2025-01-17| 1937 | 54 | 51 | 431 | 22:20| 33 | 3 | 10 | 953 | Thu | 1847 | 14 | 29 | 2 | 2852 | 27 | ERROR |\n| 2025-01-16| 15521| ERROR| 43 | 483 | 23:16| 32 | ERROR| 9 | 415 | Fri | ERROR| 13 | 55 | null | 1085 | 24 | 14 |\n| ERROR| 14994| 46 | ERROR| 402 | 23:53| 74 | 2 | 8 | 134 | Sat | 659 | 1 | 9 | 8 | 1847 | 32 | 45 |\n| 2025-01-14| 7575 | 46 | 17 | 406 | 21:29| 60 | 1 | 6 | 691 | Sun | null | 4 | 38 | 3 | 1553 | 33 | 31 |\n| ERROR| ERROR| 18 | 45 | 475 | 23:54| 100 | 3 | 8 | 761 | Mon | null | 2 | 19 | 3 | 2445 | 45 | 29 |\n| 2025-01-12| 12511| 30 | 66 | 494 | 22:56| 24 | 10 | 2 | null | null | 1132 | 8 | 64 | 1 | 1052 | 30 | 20 |\n| 2025-01-11| 7930 | 85 | 54 | ERROR| null | 57 | 5 | 4 | 166 | Wed | ERROR| null | 52 | 1 | 1572 | 39 | 28 |\n| ERROR| 13240| null | 37 | 586 | 21:47| null | 5 | 10 | 508 | Thu | 740 | 12 | 22 | 4 | 778 | 20 | 36 |\n| 2025-01-09| 19891| 66 | 58 | 372 | 23:46| 37 | 4 | 5 | 503 | Fri | null | 13 | null | 7 | 1630 | 35 | 57 |\n| 2025-01-08| 2970 | 14 | 72 | 539 | null | null | 6 | 4 | 942 | Sat | 1347 | 5 | 15 | ERROR| 2878 | 23 | 56 |\n| 2025-01-07| 15119| 93 | 32 | null | 23:53| 68 | 7 | 6 | 868 | null | 408 | 14 | ERROR| 1 | ERROR| 33 | 14 |\n| 2025-01-06| 5199 | 69 | 57 | 556 | ERROR| 59 | 6 | null | 300 | null | ERROR| 10 | ERROR| ERROR| 779 | 34 | 30 |\n| 2025-01-05| 17523| 17 | 79 | 557 | ERROR| 40 | 4 | 2 | 193 | ERROR| 346 | 6 | 61 | 4 | 554 | 22 | 43 |\n| 2025-01-04| 119 | 29 | 82 | 557 | 21:23| 13 | 3 | 4 | 183 | Wed | 720 | null | 9 | 5 | null | 26 | 34 |\n| 2025-01-03| null | 52 | 14 | 345 | 21:14| 17 | null | ERROR| null | ERROR| 1545 | 11 | 64 | 4 | 1830 | 17 | 34 |\n| ERROR| 7639 | 54 | 70 | 569 | 22:51| null | ERROR| ERROR| ERROR| Fri | 1944 | 2 | 35 | null | null | 53 | null |\n| ERROR| 7424 | 59 | 20 | null | 23:30| 61 | 4 | 4 | 645 | Sat | 1022 | 15 | 45 | 2 | 2855 | 60 | 36 |\n| 2024-12-31| 7497 | 56 | 12 | 446 | 21:39| 95 | 7 | 5 | 753 | Sun | 640 | 5 | 32 | 6 | 701 | 40 | ERROR |.\n\nHowever, the code to convert the table into markdown format was buggy and mistakenly replaced some values with \"ERROR\". The values for those cells in row-order are respectively as follows: [67, 2025-01-25, 753, Wed, 9, 2460, 2025-01-23, 3282, 7, 23, 24, 30, 1, 29, 2042, 32, 32, 2025-01-19, 1861, 82, null, 1471, 11, 41, 31, 5, 1024, 2025-01-15, 47, 2025-01-13, null, 592, 633, 2025-01-10, null, 6, null, null, 1665, 26, 7, 22:26, Tue, null, Thu, 2025-01-02, 2, 5, 761, 2025-01-01, null]. Compute the absolute difference between the median of column exercise_minutes and column music_listening_minutes, only looking at the days where the study minutes was greater than 20 and the number of meetings was greater than 2. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the medians cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:191", "request": "I have a table with 33 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 19621, 69, null, 409, null, 80, null, 8, 485, null, 996, 8, 23, 7, 2425, 21, null, 7, 2025-01-26, null, 80, 97, 552, 23:22, 57, null, 10, 443, Tue, 587, 9, 42, 3, 2028, 16, 34, 9, -8, 2025-01-25, 782, 34, 24, 401, null, null, 7, 9, 848, Wed, 1913, 2, 18, 4, 1550, 19, 13, -1, 1, 7, 2025-01-24, 13378, 68, 53, 348, 22:18, 48, 5, 8, 343, null, 543, 13, 40, 8, 2634, 26, 41, 2, 9, -4, 1, 2025-01-23, 15010, 49, 44, null, 21:16, 17, 4, 2, 484, Fri, 1541, null, 21, 5, 2183, 59, 46, 5, 6, -9, -10, -2, 2025-01-22, null, 21, 73, 391, 23:38, 28, 4, 9, 379, Sat, 914, 8, 20, 8, 2414, 40, 51, -3, -10, 1, -4, -7, -8, 2025-01-21, 8539, 65, null, 366, 23:39, 100, 3, 8, 381, Sun, 702, 2, 59, 1, 2119, 38, 57, -6, -10, 6, 5, 3, 4, 0, 2025-01-20, 19153, 89, 67, 600, 22:58, 83, 5, 9, 311, null, 1379, 9, 21, 3, 2212, 37, 13, 6, 3, -1, -8, -10, 1, 0, -3, 2025-01-19, 16216, 19, null, 338, null, 62, 7, 2, 924, Tue, 785, 14, 31, 1, 774, 29, 41, 0, 9, 5, 9, 3, -2, -8, 10, -2, 2025-01-18, 17114, 18, 74, 332, null, null, 3, 2, 214, Wed, 917, null, 50, 4, 1301, 57, 10, 6, -6, -6, 0, -3, 9, 7, -10, 7, 2, 2025-01-17, 2822, 72, 38, 315, 21:58, 28, 10, 3, 897, Thu, null, null, 60, null, 1618, 15, 13, -1, 7, -9, -2, 8, -2, 2, 4, 0, -10, -6, 2025-01-16, null, 56, 68, 559, 23:45, 51, 6, 1, 133, Fri, null, 14, 4, 5, 1621, 23, 56, -10, -7, -9, -7, 4, -6, 3, 7, -2, -6, -2, 0, 2025-01-15, null, 23, 11, 506, 23:37, 91, 8, null, 468, Sat, 1449, 14, 49, 9, 708, 57, 39, 4, -4, 3, 6, 8, 1, -1, 0, 0, 7, -10, 0, -7, 2025-01-14, 17392, 65, 90, 398, 23:57, 54, 4, null, 762, null, 1427, 9, null, 4, 733, 16, 55, 1, 5, -3, -6, -10, 4, -5, 0, -9, -6, -2, -1, -3, 8, 2025-01-13, 14057, 28, 83, 475, 23:40, 14, 3, 10, 795, null, 564, 11, 20, 5, 2481, 36, 47, -7, 9, 10, 0, -1, 9, -7, -6, 2, 10, 7, 4, 10, -2, 1, 2025-01-12, 6969, null, 98, 530, 23:27, 44, 4, 8, 367, Tue, 1159, 9, 61, 4, 2919, 55, 55, 5, 7, 3, 8, 3, 10, 7, 0, -4, -8, 9, 5, -2, -4, -4, 10, 2025-01-11, 7688, 76, 69, 353, 22:49, null, 7, 5, 432, Wed, null, 14, 26, 1, 1295, 38, 55, 8, 9, 2, 5, -6, 7, 9, -1, 10, 0, -1, -4, 3, 10, 9, -3, 9, 2025-01-10, 1161, 25, 66, 548, 22:27, null, 6, 3, 124, Thu, 1095, 6, 40, 9, 2451, 20, 10, -8, -7, -6, 10, -3, -10, -8, -9, 3, 1, -8, -7, 2, 6, -4, -5, 2, 1, 2025-01-09, 1369, 54, 35, 436, 21:50, 29, 7, 7, 625, Fri, 732, 11, 20, 7, 2394, 45, 27, -3, -6, 8, -5, 8, 6, 8, -3, -1, -7, -8, 8, 5, 0, 9, 4, 4, 1, 6, 2025-01-08, 11210, 33, null, 542, 22:26, 90, 3, 5, 288, Sat, 1890, 1, 46, 6, 2527, 47, 48, 6, -10, 10, 10, -3, -4, 6, 4, 4, -5, 7, 10, 4, 10, 7, -6, -8, 2, -10, -7, 2025-01-07, 18914, 35, 15, 494, 22:33, 99, null, 4, 442, Sun, 1259, 13, 54, 5, 2738, 56, 28, 8, 1, 6, -6, 1, 9, -1, 7, -2, 5, 3, -5, 5, 1, -5, 8, -5, -8, 9, 2, 2, 2025-01-06, 1808, 33, 72, 428, 22:45, 91, 9, 6, 735, null, 1229, 4, 26, 5, 1106, 16, 43, 1, 6, 4, -4, -9, 3, 10, 9, -8, -10, -4, 2, -2, 9, 9, 8, 2, 10, 9, 8, -6, -5, 2025-01-05, 751, 37, null, 389, 21:13, 64, 3, null, 895, Tue, 1236, 11, 47, null, 536, 44, 50, -5, -10, 7, 6, 6, -2, 4, -3, 10, 8, 4, -7, 6, 3, 6, 5, -9, -3, 1, -9, -4, 10, -1, 2025-01-04, 8116, 71, null, 474, 23:29, 91, 6, 9, 606, null, 1392, 11, null, 10, 1144, null, 26, 1, -5, -8, -5, 10, 2, 1, -3, -1, 1, -6, -9, 10, -8, 8, -10, -3, 5, -10, 5, 9, 5, -9, 0, 2025-01-03, 14999, 76, 13, 403, 21:54, 84, 5, 8, 452, Thu, 408, 1, 25, 1, 2474, 28, 43, -3, -3, -6, -4, 4, -1, -7, -6, -1, -6, 4, -4, -4, 9, 10, -8, -1, 0, 0, 10, -2, -5, 2, 2, -5, 2025-01-02, 18851, 83, 37, 484, 23:54, 55, 5, 3, 817, Fri, null, 11, 37, 8, 834, 52, 24, 8, 8, 5, -9, -5, -5, 6, -1, 9, 3, 10, 3, 5, 4, 0, -1, 7, 3, 5, 9, -2, -1, 5, 9, 1, 4, 2025-01-01, 2151, 72, null, 469, 23:48, 32, 4, 5, null, Sat, 948, 13, 47, 6, 591, 55, 31, 3, 0, 0, -8, 10, 8, 7, 1, 10, -8, 3, 1, 10, 4, 7, 1, -5, -4, 3, -2, 7, -3, 2, 10, 7, -3, 5, 2024-12-31, 11820, null, 78, 341, 21:41, null, 9, 2, 989, Sun, 1040, 14, 53, 8, 2699, null, 34, 5, 9, 9, 7, 1, 8, 3, -2, -5, 1, -10, 2, 4, -2, 9, 1, -5, 1, -4, -10, -2, 3, -4, 6, -4, -7, 2, -2, 2024-12-30, 12776, 32, 40, 439, 21:41, 13, null, 4, 431, Mon, 941, 7, 39, 5, 1955, null, 14, -1, 4, 4, 2, 4, 1, -9, -7, 1, -8, -6, -4, 2, 9, 5, -2, -5, 6, 6, 8, 2, 9, -3, 7, -10, -8, 4, 6, -9, 2024-12-29, 8580, 22, 86, 460, 22:21, 26, 5, 5, 509, Tue, 1350, 5, 2, 4, 1719, null, 13, -1, 10, 0, 5, -7, 8, 3, 4, 10, 8, 10, 2, 2, 0, -2, 7, 7, 9, -9, -9, -1, -3, 9, -2, 7, 9, 0, -3, -10, -1, 2024-12-28, 18301, 60, 89, null, 22:37, 25, 9, 7, 989, Wed, 1852, null, 42, 4, 1094, 38, 10, -7, 9, 7, -6, 4, 8, -3, 0, -10, 2, 1, 8, 1, 7, -1, -7, -9, 0, 5, -4, 4, 0, 7, 1, -5, 8, -7, -7, 2, -9, 8, 2024-12-27, 4429, 35, 19, 443, 23:34, 40, 5, null, 814, Thu, 1847, 13, 36, 8, null, 38, 41, -6, 0, 1, 9, 6, 9, -8, -10, 4, 7, -8, -8, 7, -7, 4, 9, 9, 9, 5, 1, 7, 4, 1, -1, -2, -3, 6, -9, 3, 5, 4, 6].\n\nHowever, the code to save the table was buggy and after saving each row, it appeneded some random values to the end of the row. Specifically, at the end of the i-th row (0-indexed), i random values were appended to the end of the row. Compute the absolute difference between the mean of column coding_minutes and column exercise_minutes, only looking at the days where the number of calories burned was less than 800 and the number of steps was less than 17000. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:193", "request": "I have a table with 34 rows (including the header) and 18 columns. The table was converted to markdown format as follows:\n\n| date |num_steps|study_minutes|exercise_minutes|sleep_minutes|bed_time|num_messages|num_emails|num_calls|calories_burned|weekday|calories_consumed|num_meetings|coding_minutes|num_tasks_completed|water_intake_ml|phone_screen_time_minutes|music_listening_minutes |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 54 | 2025-01-27| 12869| 58 | 98 | 338 | 22:15| 19 | 3 | 5 | 212 | Mon | 1809 | 14 | 9 | 3 | 1987 | 41 |\n| 52 | 41 | 2025-01-26| null | 100 | 35 | 349 | 21:41| 21 | 9 | 8 | 692 | Tue | null | 2 | null | 3 | 1196 |\n| 1969 | 45 | 11 | 2025-01-25| 18723| 91 | 27 | 427 | 22:12| 99 | 6 | 1 | 650 | Wed | 1816 | 12 | 47 | 3 |\n| 7 | 2833 | 40 | 12 | 2025-01-24| 18972| 85 | 63 | 323 | 21:43| null | 8 | 8 | 986 | Thu | 1382 | 7 | 65 |\n| 61 | 5 | 2902 | 11 | 16 | 2025-01-23| 7996 | 96 | 11 | 544 | 22:18| 55 | 9 | 1 | 666 | null | 580 | 15 |\n| 4 | 57 | 2 | 2233 | 18 | 42 | 2025-01-22| 3870 | 35 | 33 | 414 | 22:27| 16 | 9 | 7 | 413 | null | 482 |\n| 1676 | 13 | 2 | 2 | 1516 | 16 | 45 | 2025-01-21| 7536 | 13 | 29 | 310 | 23:48| 94 | 5 | 8 | 526 | Sun |\n| Mon | 1462 | 2 | 9 | 5 | 744 | 10 | 16 | 2025-01-20| 16010| null | 51 | 345 | 23:30| 46 | 4 | 7 | 266 |\n| 134 | Tue | 1919 | null | 4 | 5 | 948 | 12 | 46 | 2025-01-19| 5599 | 35 | null | 528 | 21:23| 90 | 5 | 3 |\n| 10 | 467 | Wed | 1372 | 5 | 55 | 2 | 2153 | 14 | 50 | 2025-01-18| 11332| null | 22 | 412 | null | 23 | null |\n| 9 | 1 | 125 | null | 872 | 2 | 1 | 8 | null | 26 | 21 | 2025-01-17| 4258 | 35 | 77 | null | 21:17| 19 |\n| null | 6 | 5 | 878 | Fri | 1374 | 3 | 1 | null | 535 | 56 | 38 | 2025-01-16| 13430| 39 | 57 | 365 | 23:46 |\n| 21:41| 46 | 6 | 7 | null | Sat | 957 | 5 | 47 | 2 | 2176 | 51 | 49 | 2025-01-15| 1549 | 63 | 71 | 443 |\n| 424 | 21:38| 57 | 9 | 8 | 243 | Sun | 1253 | 4 | 48 | 9 | 1835 | 55 | 57 | 2025-01-14| 7775 | 56 | 15 |\n| 29 | 344 | 21:10| null | 8 | 1 | 717 | null | 1409 | 14 | 62 | 10 | 2962 | 26 | 39 | 2025-01-13| 11115| 11 |\n| 27 | 93 | 548 | 21:32| 90 | 9 | 10 | 309 | Tue | 1539 | 11 | 18 | 1 | null | 51 | 56 | 2025-01-12| 19991 |\n| null | null | null | 321 | 21:38| 63 | 7 | 1 | 486 | null | 1393 | 10 | 1 | null | 2149 | 41 | 18 | 2025-01-11 |\n| 2025-01-10| 15011| 20 | 43 | 416 | null | 57 | 1 | 3 | 124 | Thu | 1701 | 9 | 48 | 9 | 844 | null | 14 |\n| 46 | 2025-01-09| 19002| null | 65 | 344 | 21:34| 90 | 3 | 2 | 160 | Fri | 1210 | 11 | 43 | 4 | null | 58 |\n| null | 54 | 2025-01-08| 1704 | 33 | 52 | 337 | null | 100 | 7 | null | 124 | Sat | 758 | 7 | 2 | 4 | 2357 |\n| 2229 | 34 | 53 | 2025-01-07| null | null | 37 | null | 22:39| null | 3 | 7 | 453 | Sun | 1603 | 8 | 30 | 2 |\n| 1 | 2459 | 11 | 54 | 2025-01-06| 1002 | 21 | 92 | null | 23:23| 92 | 3 | 1 | 341 | null | 1356 | null | 52 |\n| 19 | null | 2964 | 18 | 20 | 2025-01-05| 15802| 46 | 76 | 561 | 21:36| null | 6 | 5 | 650 | Tue | 1437 | 4 |\n| 10 | 20 | 1 | 2381 | 19 | 19 | 2025-01-04| 5101 | 70 | 39 | 424 | 23:20| 64 | 4 | 9 | 159 | Wed | 517 |\n| 767 | 9 | 57 | 2 | 1197 | 11 | 48 | 2025-01-03| 5930 | 78 | 10 | 541 | 21:25| null | 4 | 3 | 157 | Thu |\n| Fri | 1493 | 2 | 19 | 6 | 2169 | 32 | 38 | 2025-01-02| 12582| null | 97 | 398 | 21:31| 56 | null | 8 | null |\n| 948 | Sat | null | 12 | null | 1 | null | 49 | 16 | 2025-01-01| 13524| 66 | 98 | 496 | null | 61 | 10 | 9 |\n| 1 | 593 | Sun | 1428 | 5 | null | 5 | 2631 | null | 16 | 2024-12-31| null | 32 | 60 | 571 | 21:43| 17 | 4 |\n| 9 | 8 | 491 | Mon | 1255 | null | null | 6 | 2179 | 36 | 28 | 2024-12-30| 17961| 46 | 32 | 476 | 21:53| 35 |\n| 35 | 4 | 1 | 411 | null | 1238 | null | 5 | 3 | 650 | 22 | 10 | 2024-12-29| 7130 | null | 60 | 506 | 23:39 |\n| 23:33| 34 | 3 | 8 | 348 | Wed | 819 | 13 | 55 | 5 | 1555 | 25 | 59 | 2024-12-28| 18846| 31 | 16 | 324 |\n| 426 | 21:19| 36 | 6 | 6 | 620 | Thu | 1610 | 3 | null | 2 | 1448 | 13 | 47 | 2024-12-27| 10175| null | 59 |\n| 53 | 405 | 22:17| 16 | 10 | 2 | 572 | Fri | 1223 | 3 | 53 | 9 | 858 | 30 | 53 | 2024-12-26| 10404| 44 |.\n\nHowever, the code to convert the table into markdown format was buggy and, except for the header row that was formatted correctly, the values in the i-th row were rotated to the right i times (e.g., for the first row of values, the value at column j was moved to column j+1 and the value in the last column was moved to the first column). Compute the absolute difference between the stdev of column coding_minutes and column sleep_minutes, only looking at the days where the exercise minutes was less than 50 and the weekday is Monday. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:194", "request": "I have a table with 29 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, 2025-01-02, 2025-01-01, 2024-12-31, num_steps, 10585, 14551, 18170, 2506, 4659, 1741, null, 9609, 1429, 261, 8031, 9774, 18431, 2642, 14499, 14694, 780, 12947, 5387, 2114, 2718, 11680, 3382, 16286, 10752, 7482, 664, 15227, 9, study_minutes, 55, 36, 30, 19, 89, null, 67, 57, 25, 57, 67, 82, 29, 47, 63, 63, 75, 87, 28, 47, 85, 55, 79, 17, 88, 100, 78, 90, 1, -4, exercise_minutes, 97, 50, 64, 48, 74, 70, 45, 94, 22, 90, 73, 45, 64, 42, 11, null, null, 81, 47, 89, 88, 65, 31, 11, null, null, 38, null, 7, -6, -10, sleep_minutes, 591, null, 390, 538, 413, 494, 498, null, 577, 307, 455, 485, 591, 367, 336, 480, 484, 573, 487, 327, 419, 369, 316, null, 370, 520, 377, 351, 1, -10, 0, 5, bed_time, 23:28, 23:14, 21:17, 23:23, 21:50, 21:29, 21:29, null, null, 23:46, 21:51, 21:23, 23:32, 23:39, 22:50, 22:15, 22:26, 22:16, 23:15, 23:54, 22:11, 23:41, 23:21, 22:10, 23:19, 23:28, 21:47, 22:34, -3, -3, 0, -6, 9, num_messages, 25, 99, 73, 37, 13, 82, 29, 42, 31, 44, 65, 20, 12, 14, 65, 44, 48, 65, 70, 23, 40, 10, 15, 38, 92, null, 31, 57, 7, -5, -4, 7, -6, 4, num_emails, 6, 5, 1, 10, null, 3, 3, 8, 2, 4, 3, 9, 6, 5, 2, 2, 3, 6, 2, 10, 6, null, 6, 3, 2, 3, null, 6, -1, 6, 0, -4, -3, 4, -10, num_calls, 4, null, 3, 1, 7, null, 10, 3, 3, 4, 8, 7, 3, 10, 2, 7, null, 1, 1, null, 8, 10, 1, 1, 8, 6, 1, 2, -7, 3, -8, -3, -5, 5, -2, -1, calories_burned, 992, 670, 338, 318, 665, 643, 635, 586, 127, 412, null, 723, 943, 730, 745, 393, 264, 245, 335, 660, 320, 605, 717, 450, 429, 893, 635, 590, -7, 1, -8, 4, 6, 8, -6, 3, 7, weekday, Mon, Tue, Wed, Thu, Fri, Sat, Sun, null, Tue, null, Thu, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, null, Sun, null, Tue, Wed, Thu, Fri, Sat, null, 0, 3, -9, -2, 4, 4, 0, -2, 2, -7, calories_consumed, 820, 1433, 824, 616, 946, 417, 996, 1375, 445, 1789, 1673, 1085, 1859, 1127, 1227, 313, 725, 1596, 929, 523, 1717, null, 1782, 1420, 1878, 1364, 1018, 415, 6, -9, 3, -2, -4, 8, -8, 6, -9, 3, -7, num_meetings, 4, 7, 11, null, 4, 15, 14, 3, 1, 5, 8, 3, 9, 1, 9, null, 5, 2, 10, 2, 4, 8, 10, 5, 5, 14, 13, 15, 4, 2, 0, 10, 4, -3, 5, 3, -7, -7, -3, -8, coding_minutes, 42, 53, 39, null, 34, 39, 39, 6, 10, 37, null, null, 34, 20, 32, 39, 48, 38, 43, 37, 15, 53, 18, 7, 46, 14, 7, 63, 2, -2, -9, 5, 9, 0, 3, 4, -10, -7, 1, -2, 6, num_tasks_completed, 7, 7, 10, 2, 4, 8, null, 3, null, 6, 10, 3, 7, 6, 3, 7, 1, 7, 5, null, 3, 6, 4, null, 3, 8, null, 8, -5, -1, -6, 8, 8, 2, 9, 4, 9, -1, -3, -6, 8, -3, water_intake_ml, 681, null, 2875, 1991, null, 1350, 1208, null, 2296, 1841, 1297, 1629, null, 2892, 2837, 1600, 948, null, 826, 718, 537, 1925, 1035, 782, 1257, 566, 2267, 1026, -1, 7, -4, -3, -9, -6, -6, -8, -10, 3, 4, -9, -3, 9, 10, phone_screen_time_minutes, 44, 58, 35, 48, 11, 44, 11, null, 30, 51, 42, 32, 36, 55, null, 25, 44, 37, null, 59, 15, 34, 59, 13, 59, 49, 45, 46, 0, -4, 4, -10, -2, 1, 2, 5, -3, -2, -6, 3, 1, -10, -7, 1, music_listening_minutes, 56, null, 13, 53, 43, 18, null, 58, 30, 10, 46, 31, 39, null, 54, 19, 36, 46, 15, null, 14, 24, 42, null, 53, null, 60, 56, -5, -8, 0, 5, 6, 6, 5, -5, 9, 4, -7, 0, 8, -7, 1, 4, -6].\n\nHowever, the code to save the table was buggy and after saving each column, it appeneded some random values to the end of the column. Specifically, at the end of the i-th column (0-indexed), i random values were appended to the end of the column. Compute the absolute difference between the stdev of column music_listening_minutes and column sleep_minutes, only looking at the days where the number of calories burned was less than 800 and the sleep minutes was greater than 350. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the stdevs cannot be computed due to there being no values, the final answer must be \"0\". If there is only one value, the stdev must be 0. ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:195", "request": "I have a table with 27 rows (including the header) and 18 columns. The table was saved in a row-major format as follows:\n\n[date, num_steps, study_minutes, exercise_minutes, sleep_minutes, bed_time, num_messages, num_emails, num_calls, calories_burned, weekday, calories_consumed, num_meetings, coding_minutes, num_tasks_completed, water_intake_ml, phone_screen_time_minutes, music_listening_minutes, 2025-01-27, 19344, 96, 26, 534, 21:52, 81, 6, 336, Mon, 1106, 8, 60, 1579, 58, 12, 2025-01-26, 2575, 44, 555, 22:30, 46, 2, 2, 960, Tue, 1371, 3, 8, 8, 995, 52, 2025-01-25, 2845, 95, 51, 390, 22:43, 16, 10, 5, 375, Wed, 1, 6, 1866, 25, 20, 2025-01-24, 2362, 18, 54, 417, 22:28, 47, 2, 1, 786, Thu, 1043, 6, 16, 5, 1114, 25, 59, 2025-01-23, 11332, 38, 390, 21:21, 64, 2, 7, 270, Fri, 886, 4, 61, 6, 2272, 24, 50, 2025-01-22, 17241, 61, 577, 21:20, 79, 7, 1, 828, 1655, 7, 31, 6, 1406, 26, 29, 2025-01-21, 3768, 38, 57, 312, 23:57, 13, 5, 4, 550, Sun, 951, 21, 8, 1235, 16, 56, 2025-01-20, 18647, 58, 23, 420, 22:13, 84, 6, 3, 787, 1489, 5, 64, 10, 1127, 19, 30, 2025-01-19, 6114, 24, 38, 575, 21:45, 9, 7, 386, Tue, 1689, 6, 27, 10, 1557, 21, 15, 2025-01-18, 2923, 31, 88, 23:41, 82, 7, 460, Wed, 1546, 2, 10, 1766, 37, 2025-01-17, 8342, 83, 580, 22:47, 27, 3, 8, 192, Thu, 838, 5, 35, 6, 51, 54, 2025-01-16, 15793, 46, 56, 395, 21:27, 10, 538, 1828, 53, 6, 1024, 40, 29, 2025-01-15, 11352, 99, 46, 381, 41, 2, 2, 648, Sat, 1060, 12, 16, 7, 920, 2025-01-14, 19136, 25, 18, 381, 22:41, 52, 10, 2, Sun, 961, 3, 16, 7, 1437, 13, 60, 2025-01-13, 12663, 81, 93, 595, 22:45, 45, 1, 7, 653, 1279, 14, 3, 9, 524, 20, 34, 2025-01-12, 5821, 72, 381, 28, 3, 10, 925, Tue, 1460, 6, 63, 1, 705, 58, 2025-01-11, 61, 50, 440, 22:47, 17, 6, 512, Wed, 536, 1, 6, 7, 2254, 20, 50, 2025-01-10, 9697, 19, 22:56, 15, 5, 7, 507, Thu, 881, 8, 60, 3, 652, 57, 26, 2025-01-09, 26, 33, 570, 21:41, 52, 5, 860, Fri, 592, 7, 45, 2, 1362, 24, 2025-01-08, 13118, 89, 16, 351, 22:28, 51, 2, 9, 765, Sat, 1934, 3, 25, 6, 2998, 16, 33, 2025-01-07, 19171, 48, 32, 344, 21:41, 37, 4, 1, 110, Sun, 1410, 11, 51, 7, 2470, 47, 54, 2025-01-06, 1406, 19, 84, 587, 23:23, 78, 3, 2, Mon, 1377, 13, 65, 1, 2226, 30, 11, 2025-01-05, 2458, 60, 511, 23:49, 53, 6, 222, Tue, 424, 13, 52, 2338, 35, 32, 2025-01-04, 13, 362, 23:42, 91, 2, 7, 368, 1630, 14, 46, 6, 1179, 34, 50, 2025-01-03, 8752, 47, 53, 499, 22:52, 4, 6, 318, Thu, 543, 3, 24, 3, 1374, 44, 38, 2025-01-02, 4720, 48, 527, 23:47, 89, 2, 10, 477, Fri, 979, 4, 39, 1965, 39, 46].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(23, 7), (12, 7), (12, 10), (11, 2), (13, 5), (26, 2), (18, 4), (6, 2), (13, 17), (26, 14), (12, 6), (12, 12), (14, 9), (5, 3), (3, 12), (17, 8), (24, 1), (19, 17), (25, 6), (2, 16), (24, 10), (1, 14), (1, 8), (13, 16), (15, 10), (7, 12), (23, 2), (6, 10), (22, 9), (23, 14), (3, 11), (17, 1), (19, 1), (19, 7), (10, 4), (9, 6), (8, 10), (10, 7), (10, 13), (2, 3), (16, 2), (10, 16), (24, 3), (11, 15), (16, 5), (18, 2), (16, 17)]. Compute the absolute difference between the mean of column coding_minutes and column study_minutes, only looking at the days where the number of steps was less than 17000 and the study minutes was greater than 20. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:buggy_tables:197", "request": "I have a table with 26 rows (including the header) and 18 columns. The table was saved in a column-major format as follows:\n\n[date, 2025-01-27, 2025-01-26, 2025-01-25, 2025-01-24, 2025-01-23, 2025-01-22, 2025-01-21, 2025-01-20, 2025-01-19, 2025-01-18, 2025-01-17, 2025-01-16, 2025-01-15, 2025-01-14, 2025-01-13, 2025-01-12, 2025-01-11, 2025-01-10, 2025-01-09, 2025-01-08, 2025-01-07, 2025-01-06, 2025-01-05, 2025-01-04, 2025-01-03, num_steps, 3577, 12963, 3953, 11714, 17901, 16483, 5235, 10039, 2529, 1243, 18670, 16152, 9430, 2429, 1892, 15988, 3160, 4423, study_minutes, 42, 20, 70, 18, 35, 48, 82, 95, 11, 37, 59, 94, 45, 76, 84, 48, 37, 98, 70, 56, 19, 19, 32, exercise_minutes, 57, 20, 40, 94, 23, 70, 88, 60, 59, 98, 42, 40, 83, 37, 45, 63, 71, 46, 76, 93, 67, 85, sleep_minutes, 445, 411, 373, 321, 491, 422, 581, 433, 348, 326, 548, 548, 373, 350, 323, 440, 502, 538, 352, 368, 475, 504, bed_time, 22:22, 23:19, 23:23, 21:34, 21:57, 21:12, 23:57, 21:24, 21:29, 22:30, 23:29, 22:27, 22:20, 21:36, 22:53, 23:25, 22:17, 21:10, 23:18, 22:41, 22:46, 23:48, num_messages, 71, 43, 62, 27, 86, 49, 38, 69, 84, 57, 18, 31, 52, 20, 42, 19, 59, 11, 29, 61, 97, 77, 51, num_emails, 1, 8, 9, 9, 7, 7, 4, 5, 10, 9, 6, 9, 9, 7, 8, 6, 1, 9, 9, 1, 6, 3, 10, 8, 3, num_calls, 10, 10, 5, 6, 10, 2, 6, 5, 7, 1, 3, 10, 2, 6, 10, 1, 10, 1, 8, 1, 6, 6, 4, calories_burned, 601, 924, 211, 857, 434, 848, 146, 313, 518, 170, 414, 381, 707, 836, 626, 410, 869, 269, 521, 286, 682, weekday, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Fri, Sat, Sun, Mon, Tue, Wed, Thu, Fri, Sat, Sun, Tue, Wed, Thu, calories_consumed, 1680, 1275, 1713, 443, 312, 832, 802, 777, 1904, 2000, 1093, 685, 816, 440, 946, 372, 1894, 1982, 1864, 1407, 837, 1875, 458, num_meetings, 15, 4, 3, 1, 5, 1, 11, 9, 10, 13, 12, 4, 4, 9, 8, 4, 11, 7, 15, coding_minutes, 32, 55, 41, 37, 21, 30, 56, 51, 50, 16, 17, 47, 48, 17, 10, 35, 5, 23, 52, 1, 50, 48, 15, 32, 44, num_tasks_completed, 4, 4, 7, 7, 9, 10, 3, 8, 5, 6, 6, 8, 10, 7, 6, 9, 10, 1, 6, 4, 2, 4, water_intake_ml, 2788, 2455, 2655, 1445, 2620, 1896, 1235, 1847, 2926, 728, 2344, 2157, 1591, 1754, 1293, 974, 2803, 1984, 839, 2724, 2430, 1712, 2992, 2391, phone_screen_time_minutes, 42, 43, 23, 22, 35, 60, 11, 17, 32, 27, 22, 57, 46, 60, 38, 29, 20, 18, 56, 32, 36, 51, 47, music_listening_minutes, 15, 44, 25, 59, 31, 27, 18, 53, 55, 36, 28, 35, 33, 55, 55, 24, 42, 43, 31, 58, 43, 44, 58, 32].\n\nHowever, the code to save the table was buggy and failed to save the null values. There were null values at the following locations (0-indexed -- table header included): [(6, 12), (12, 1), (6, 15), (20, 14), (3, 4), (4, 3), (19, 6), (17, 12), (9, 8), (9, 14), (9, 11), (25, 16), (7, 4), (7, 1), (18, 1), (20, 1), (15, 9), (23, 12), (22, 10), (14, 3), (18, 8), (9, 16), (19, 14), (1, 2), (11, 10), (13, 1), (21, 5), (23, 2), (20, 9), (22, 12), (4, 4), (9, 6), (11, 3), (8, 10), (5, 17), (10, 1), (24, 9), (16, 5), (1, 10), (24, 12), (13, 12), (7, 5), (7, 11), (6, 9), (21, 1)]. Compute the absolute difference between the mean of column phone_screen_time_minutes and column music_listening_minutes, only looking at the days where the number of calories consumed was less than 1800 and the sleep minutes was greater than 350. Round the result to 2 decimal places. If it cannot be determined whether the condition is satisfied or not (e.g., due to null values that cannot be inferred from the rest of the table), assume the condition is not satisfied. If a value is null, ignore it from the computations. If any of the means cannot be computed due to there being no values, the final answer must be \"0\". ", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:002", "request": "Question: The receptionist in the philosophy department keeps her desk stocked with pens. The administrative assistants are allowed to take the pens, but faculty members are supposed to buy their own. The administrative assistants typically do take the pens. Unfortunately, so do the faculty members. The receptionist has repeatedly emailed them reminders that only administrative assistants are allowed to take the pens. On Monday morning, one of the administrative assistants encounters Professor Smith walking past the receptionist's desk. Both take pens. Later that day, the receptionist needs to take an important message... but she has a problem. There are no pens left on her desk. Did Professor Smith cause the problem? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:003", "request": "Question: The receptionist in the philosophy department keeps her desk stocked with pens. The administrative assistants are allowed to take the pens, but faculty members are supposed to buy their own. The administrative assistants typically do take the pens. Unfortunately, so do the faculty members. The receptionist has repeatedly emailed them reminders that only administrative assistants are allowed to take the pens. On Monday morning, one of the administrative assistants encounters Professor Smith walking past the receptionist's desk. Both take pens. Later that day, the receptionist needs to take an important message... but she has a problem. There are no pens left on her desk. Did the administrative assistant cause the problem? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:004", "request": "Question: Claire's parents bought her an old computer. Claire uses it for schoolwork, but her brother Daniel sometimes logs on to play games. Claire has told Daniel, \\\"Please don't log on to my computer. If we are both logged on at the same time, it will crash\\\". One day, Claire and Daniel logged on to the computer at the same time. The computer crashed. Later that day, Claire's mother is talking with the computer repairman. The repairman says, \\\"I see that Daniel was logged on, but this computer will only crash if two people are logged on at the same time. So, I still don't see quite why the computer crashed.\\\" Did Daniel cause the computer crash? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:005", "request": "Question: Claire's parents bought her an old computer. Claire uses it for schoolwork, but her brother Daniel sometimes logs on to play games. Claire has told Daniel, \\\"Please don't log on to my computer. If we are both logged on at the same time, it will crash\\\". One day, Claire and Daniel logged on to the computer at the same time. The computer crashed. Later that day, Claire's mother is talking with the computer repairman. The repairman says, \\\"I see that Daniel was logged on, but this computer will only crash if two people are logged on at the same time. So, I still don't see quite why the computer crashed.\\\" Did Claire cause the computer crash? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:010", "request": "Question: In Bash Ball, opposing teams try to score points in the other team's zone by entering it. On each team, there are two types of players: Bashers and Runners. During the game, Bashers remain in the same spot, trying to hit the other team's Runners with balls, and Runners try to enter the other team's zone without getting hit. Zach, Harmon and a few other friends are on a team playing Bash Ball against another team. Zach is a Basher and Harmon is a Runner. At one point in the game, Zach spots one of the other team's Bashers behind a tree. Later on, Harmon passes by Zach. Knowing that he is allowed to talk to Runners, Zach does not tell Harmon where the other team's Basher is. Soon after, the Basher that Zach spotted hits Harmon with a Bash Ball. Harmon is out for the remainder of the game. Was Harmon out of the game because Zach did not tell Harmon where the other team's Basher was? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:011", "request": "Question: In Bash Ball, opposing teams try to score points in the other team's zone by entering it. On each team, there are two types of players: Bashers and Runners. During the game, Bashers remain in the same spot, trying to hit the other team's Runners with balls, and Runners try to enter the other team's zone without getting hit. Zach, Harmon and a few other friends are on a team playing Bash Ball against another team. Zach is a Basher and Harmon is a Runner. At one point in the game, Zach spots one of the other team's Bashers behind a tree. Later on, Harmon passes by Zach. Knowing that he is not allowed to talk to Runners, Zach does not tell Harmon where the other team's Basher is. Soon after, the Basher that Zach spotted hits Harmon with a Bash Ball. Harmon is out for the remainder of the game. Was Harmon out of the game because Zach did not tell Harmon where the other team's Basher was? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:020", "request": "Question: Tom works for a demolition company, and today he is demolishing a building by implosion. The building will implode automatically at 5:00 PM if either the safety switch is off or knob A is switched on. At 4:00 PM, the safety switch is off, and knob A is off. At that time, Tom checks to see if knob A is on, and he sees that it's off. So, he changes the position of knob A to the on position. Because the building will implode if either the safety switch is off or knob A is switched on, the building implodes at 5:00 PM. Did the building implode because Tom changed the position of knob A? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:021", "request": "Question: Tom works for a demolition company, and today he is demolishing a building by implosion. The building will implode automatically at 5:00 PM if either the safety switch is off or knob A is switched on. At 4:00 PM, the safety switch is off, and knob A is on. At that time, Tom checks to see if knob A is on, and he sees that it's on. So, he does not change the position of knob A at all. Because the building will implode if either the safety switch is off or knob A is switched on, the building implodes at 5:00 PM. Did the building implode because Tom did not change the position of knob A? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:022", "request": "Question: Tom works for a demolition company, and today he is demolishing a building by implosion. The building will implode automatically at 5:00 PM if both the safety switch is off and knob A is switched on. At 4:00 PM, the safety switch is off, and knob A is off. At that time, Tom checks to see if knob A is on, and he sees that it's off. So, he changes the position of knob A to the on position. Because the building would implode if both the safety switch is off and knob A is switched on, the building implodes at 5:00 PM. Did the building implode because Tom changed the position of knob A? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:023", "request": "Question: Tom works for a demolition company, and today he is demolishing a building by implosion. The building will implode automatically at 5:00 PM if both the safety switch is off and knob A is switched on. At 4:00 PM, the safety switch is off, and knob A is on. At that time, Tom checks to see if knob A is on, and he sees that it's on. So, he does not change the position of knob A at all. Because the building would implode if both the safety switch is off and knob A is switched on, the building implodes at 5:00 PM. Did the building implode because Tom did not change the position of knob A? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:024", "request": "Question: Wayne has a new high-tech watch that tracks his heart rate while he exercises. He must charge the device before he uses it this evening. The device will fully charge in one hour if it is either plugged in or on the charging pad. At 2:00 PM, the device is plugged in, and the device is not on the charging pad. At that time, Wayne checks to see if the device is on the charging pad, and he sees that it's not. So, he changes the position of the device, and he puts it on the charging pad. Because the device will fully charge in one hour if it is either plugged in or on the charging pad, the device is fully charged at 3:00 PM. Is the device fully charged because Wayne changed the position of the device? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:025", "request": "Question: Wayne has a new high-tech watch that tracks his heart rate while he exercises. He must charge the device before he uses it this evening. The device will fully charge in one hour if it is either plugged in or on the charging pad. At 2:00 PM, the device is plugged in, and the device is on the charging pad. At that time, Wayne checks to see if the device is on the charging pad, and he sees that it is. So, he does not change the position of the device, and he leaves it on the charging pad. Because the device will fully charge in one hour if it is either plugged in or on the charging pad, the device is fully charged at 3:00 PM. Is the device fully charged because Wayne did not change the position of the device? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:026", "request": "Question: Wayne has a new high-tech watch that tracks his heart rate while he exercises. He must charge the device before he uses it this evening. The device will fully charge in one hour if it is both plugged in and on the charging pad. At 2:00 PM, the device is plugged in, and the device is not on the charging pad. At that time, Wayne checks to see if the device is on the charging pad, and he sees that it's not. So, he changes the position of the device, and he puts it on the charging pad. Because the device will fully charge in one hour if it is both plugged in and on the charging pad, the device is fully charged at 3:00 PM. Is the device fully charged because Wayne changed the position of the device? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:027", "request": "Question: Wayne has a new high-tech watch that tracks his heart rate while he exercises. He must charge the device before he uses it this evening. The device will fully charge in one hour if it is both plugged in and on the charging pad. At 2:00 PM, the device is plugged in, and the device is on the charging pad. At that time, Wayne checks to see if the device is on the charging pad, and he sees that it is. So, he does not change the position of the device, and he leaves it on the charging pad. Because the device will fully charge in one hour if it is both plugged in and on the charging pad, the device is fully charged at 3:00 PM. Is the device fully charged because Wayne did not change the position of the device? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:032", "request": "Question: Suzy and Billy are working on a project that is very important for our nation's security. The boss tells them both: \\\"Be sure that you are here at exactly 9 am. It is absolutely essential that you arrive at that time.\\\" Both Billy and Suzy arrive at 9 am. As it happens, there was a motion detector installed in the room where they arrived. The motion detector was set up to be triggered if more than one person appeared in the room at the same time. So the motion detector went off. Did Billy cause the motion detector to go off? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:033", "request": "Question: Suzy and Billy are working on a project that is very important for our nation's security. The boss tells Suzy: \\\"Be sure that you are here at exactly 9 am. It is absolutely essential that you arrive at that time. \\\" Then he tells Billy: \\\"Be sure that you do not come in at all tomorrow morning. It is absolutely essential that you not appear at that time.\\\" Both Billy and Suzy arrive at 9 am. As it happens, there was a motion detector installed in the room where they arrived. The motion detector was set up to be triggered if more than one person appeared in the room at the same time. So the motion detector went off. Did Billy cause the motion detector to go off? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:034", "request": "Question: Suzy and Billy are working on a project that is very important for our nation's security. The boss tells them both: \\\"Be sure that you are here at exactly 9 am. It is absolutely essential that you arrive at that time.\\\" Both Billy and Suzy arrive at 9 am. As it happens, there was a motion detector installed in the room where they arrived. The motion detector was set up to be triggered if at least one person appeared in the room at the same time. So the motion detector went off. Did Billy cause the motion detector to go off? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:035", "request": "Question: Suzy and Billy are working on a project that is very important for our nation's security. The boss tells Suzy: \\\"Be sure that you are here at exactly 9 am. It is absolutely essential that you arrive at that time. \\\" Then he tells Billy: \\\"Be sure that you do not come in at all tomorrow morning. It is absolutely essential that you not appear at that time.\\\" Both Billy and Suzy arrive at 9 am. The motion detector was set up to be triggered if at least one person appeared in the room at the same time. So the motion detector went off. Did Billy cause the motion detector to go off? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:044", "request": "Question: Alex is playing a board game. Every turn in the game, you simultaneously roll two six-sided dice and spin a spinner. Alex will either win or lose the game on his next turn. Alex will only win the game if the total of dice roll is greater than 2 or the spinner lands on green. It is very likely that he will roll higher than 2. Normally, the spinner does land on green. Alex rolls his dice and spins the spinner at exactly the same time. He rolls a 12, so just as expected, he rolled greater than 2, and the spinner lands on green. Alex wins the game. Did Alex spinning result cause him to win the game? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:045", "request": "Question: Alex is playing a board game. Every turn in the game, you simultaneously roll two six-sided dice and spin a spinner. Alex will either win or lose the game on his next turn. Alex will only win the game if the total of dice roll is greater than 11 or the spinner lands on green. It is very unlikely that he will roll higher than 11. Normally, the spinner does land on green. Alex rolls his dice and spins the spinner at exactly the same time. He rolls a 12, so amazingly, he rolled greater than 11, and the spinner lands on green. Alex wins the game. Did Alex spinning result cause him to win the game? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:050", "request": "Question: Prof. Smith works at a large university. At this university, in order to get new computers from the university, faculty like Prof. Smith must send an application to two administrative committees, the IT committee and the department budget committee. Prof. Smith will be able to get her new computers if the IT committee approves her application or the department budget committee approves her application. Only one of the committees needs to approve her application for her to get the new computers. The IT committee almost always approves these applications. The department budget committee also almost always approves these applications. The budget committee is notorious for approving almost every application they receive. Prof. Smith sends in her applications. Each committee meets independently and they decide without talking to each other, but their meetings are scheduled for the exact same time. The IT committee approves her application, and as expected, the department budget committee approves her application. So, Prof. Smith got her new computers. Does the department budget committee cause the approval of Prof. Smith's application? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:051", "request": "Question: Prof. Smith works at a large university. At this university, in order to get new computers from the university, faculty like Prof. Smith must send an application to two administrative committees, the IT committee and the department budget committee. Prof. Smith will be able to get her new computers if the IT committee approves her application or the department budget committee approves her application. Only one of the committees needs to approve her application for her to get the new computers. The IT committee almost always approves these applications. The department budget committee almost never approves these applications. The budget committee is notorious for turning down almost every application they receive. Prof. Smith sends in her applications. Each committee meets independently and they decide without talking to each other, but their meetings are scheduled for the exact same time. The IT committee approves her application, and surprisingly, the department budget committee approves her application. So, Prof. Smith got her new computers. Does the department budget committee cause the approval of Prof. Smith's application? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:074", "request": "Question: Alex is playing a board game. Every turn in the game, you simultaneously roll two-sided dice and flip a coin. Alex will either win or lose the game on his next turn. Alex will only win the game if the total of his dice roll is greater than 2 AND the coin comes up heads. It is very likely that he will roll higher than 2, and the coin has equal odds of coming up heads or tails. Alex flips the coin and rolls his dice at exactly the same time. The coin comes up heads, and he rolls a 12, so just as expected, he rolled greater than 2. Alex wins the game. Did Alex win because of the coin flip? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:075", "request": "Question: Alex is playing a board game. Every turn in the game, you simultaneously roll two six-sided dice and flip a coin. Alex will either win or lose the game on his next turn. Alex will only win the game if the total of his dice roll is greater than 11 AND the coin comes up heads. It is very unlikely that he will roll higher than 11, but the coin has equal odds of coming up heads or tails. Alex flips the coin and rolls his dice at exactly the same time. The coin comes up heads, and he rolls a 12, so amazingly, he rolled greater than 11. Alex wins the game. Did Alex win because of the coin flip? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:076", "request": "Question: Mr. Wallace is highly influential in the organized crime scene. Although he commands the respect of many, there are also a number of people who stand to benefit from his death. Today, he was having lunch with one of his associates, Mr. Vincent. At one point during their meeting, Mr. Wallace left the table to go to the toilet. While he was gone, Mr. Vincent managed to slip a lethal dose of poison into his martini. The poison is known to take one hour (give or take 10 minutes, depending on the victim's body weight) to kill and would go unnoticed for the first half hour after consumption. When Mr. Wallace returned to the table, he finished his lunch and then drank the rest of his martini. The two men concluded their meeting a few minutes later. Mr. Wallace paid the bill and they both left the restaurant going in different directions. Mr. Wallace had another important business meeting about 15 minutes away in a remote part of the countryside. On an isolated stretch of road, he noticed that he was suddenly being followed by a van that had pulled out from the roadside. The van accelerated and began hitting his car from behind. Mr. Wallace recognized that the driver was Mr. Bruce, an associate of one of Mr. Wallace's rivals. He tried to evade the van but there was no time. The van relentlessly hit his car and pushed it off the side where it fell into a ravine and exploded. The remains of Mr. Wallace's body were discovered later that day. The chief coroner's report later revealed that Mr. Wallace had received fatal burns in the car explosion. The report also indicated, however, that a lethal dose of poison was found in Mr. Wallace's blood. Did the crime life cause Mr. Wallace's death? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:077", "request": "Question: Mr. Wallace is highly influential in the organized crime scene. Although he commands the respect of many, there are also a number of people who stand to benefit from his death. Today, he was having lunch with one of his associates, Mr. Vincent. At one point during their meeting, Mr. Wallace left the table to go to the toilet. While he was gone, Mr. Vincent managed to slip a lethal dose of poison into his martini. The poison is known to take one hour (give or take 10 minutes, depending on the victim's body weight) to kill and would go unnoticed for the first half hour after consumption. When Mr. Wallace returned to the table, he finished his lunch and then drank the rest of his martini. The two men concluded their meeting a few minutes later. Mr. Wallace paid the bill and they both left the restaurant going in different directions. Mr. Wallace had another important business meeting about 15 minutes away in a remote part of the countryside. On an isolated stretch of road, he noticed that he was suddenly being followed by a van that had pulled out from the roadside. The van accelerated and began hitting his car from behind. Mr. Wallace recognized that the driver was Mr. Bruce, an associate of one of Mr. Wallace's rivals. He tried to evade the van but there was no time. The van relentlessly hit his car and pushed it off the side where it fell into a ravine and exploded. The remains of Mr. Wallace's body were discovered later that day. The chief coroner's report later revealed that Mr. Wallace had received fatal burns in the car explosion. The report also indicated, however, that a lethal dose of poison was found in Mr. Wallace's blood. Did the car crash cause Mr. Wallace's death? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:094", "request": "Question: Karen was an assistant editor for a small publishing firm. She had a rare hereditary disease called Karpinson's hemotrysoma, characterized by the lack of an enzyme that normally breaks down certain proteins in the digestive system. Because of this, fermented drinks such as wine and liqueurs can cause a severe allergic reaction in someone with the disease. Karen had just received a promotion so her boss, Mr. Carlson, took her to an expensive French restaurant to celebrate. Mr. Carlson had been to this restaurant several times, so he ordered for both of them. As he looked over the menu, Mr. Carlson considered what to order for Karen. He first thought about ordering the Scallops Meuniere, but at the last moment decided on the Moules Mariniere instead. Although Mr. Carlson did not know this, the Moules Mariniere was made in a wine sauce whereas the Scallops Meuniere did not contain any wine. Karen enjoyed her meal greatly, but began to feel ill shortly after finishing. Within minutes, she went into convulsions and was rushed away in an ambulance. She died on the way to the hospital. Did Mr. Carlson's choice of dish cause Karen's death? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:095", "request": "Question: Karen was an assistant editor for a small publishing firm. She had a rare hereditary disease called Karpinson's hemotrysoma, characterized by the lack of an enzyme that normally breaks down certain proteins in the digestive system. Because of this, fermented drinks such as wine and liqueurs can cause a severe allergic reaction in someone with the disease. Karen had just received a promotion so her boss, Mr. Carlson, took her to an expensive French restaurant to celebrate. Mr. Carlson had been to this restaurant several times, so he ordered for both of them. As he looked over the menu, Mr. Carlson considered what to order for Karen. He first thought about ordering the Coquilles Saint-Jacques, but at the last moment decided on the Moules Mariniere instead. Although Mr. Carlson did not know this, both of these dishes were made with a wine sauce. Karen enjoyed her meal greatly, but began to feel ill shortly after finishing. Within minutes, she went into convulsions and was rushed away in an ambulance. She died on the way to the hospital. Did Mr. Carlson's choice of dish cause Karen's death? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:110", "request": "Question: Jim, Carol, Bob, and Nancy are researchers in a remote area, and they have a limited supply of electricity. Because of their limited supply, the electricity only comes on in the evenings from 8-9 PM, and they have to restrict who can use power on certain days. If two people turn on their lamps at the same time, the breaker will fail. The breaker will not fail if fewer people turn on their lamps at the same time. Jim, Carol, Bob, and Nancy are all allowed to use their lamps on Thursdays. This Thursday Jim turns on his lamp at 8 PM. Just then, Carol also turns on her lamp. Since two people turned on their lamps at the same time, the circuit breaker failed. Did Jim turning on his lamp at 8 PM cause the circuit breaker to fail? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:111", "request": "Question: Jim, Carol, Bob, and Nancy are researchers in a remote area, and they have a limited supply of electricity. Because of their limited supply, the electricity only comes on in the evenings from 8-9 PM, and they have to restrict who can use power on certain days. If two people turn on their lamps at the same time, the breaker will fail. The breaker will not fail if fewer people turn on their lamps at the same time. Jim is not supposed to use his lamp on Thursdays. Carol, Bob, and Nancy may all use their lamps on Thursdays. This Thursday Jim turns on his lamp at 8 PM. Just then, Carol also turns on her lamp. Since two people turned on their lamps at the same time, the circuit breaker failed. Did Jim turning on his lamp at 8 PM cause the circuit breaker to fail? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:112", "request": "Question: Jim, Carol, Bob, and Nancy are researchers in a remote area, and they have a limited supply of electricity. Because of their limited supply, the electricity only comes on in the evenings from 8-9 PM, and they have to restrict who can use power on certain days. If three people turn on their lamps at the same time, the breaker will fail. The breaker will not fail if fewer people turn on their lamps at the same time. Jim, Carol, Bob, and Nancy are all allowed to use their lamps on Thursdays. This Thursday Jim turns on his lamp at 8 PM. Just then, Carol turns on her lamp, and Bob also turns on his lamp. Since three people turned on their lamps at the same time, the circuit breaker failed. Did Jim turning on his lamp at 8 PM cause the circuit breaker to fail? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:113", "request": "Question: Jim, Carol, Bob, and Nancy are researchers in a remote area, and they have a limited supply of electricity. Because of their limited supply, the electricity only comes on in the evenings from 8-9 PM, and they have to restrict who can use power on certain days. If three people turn on their lamps at the same time, the breaker will fail. The breaker will not fail if fewer people turn on their lamps at the same time. Jim is not supposed to use his lamp on Thursdays. Carol, Bob, and Nancy may all use their lamps on Thursdays. This Thursday Jim turns on his lamp at 8 PM. Just then, Carol turns on her lamp, and Bob also turns on his lamp. Since three people turned on their lamps at the same time, the circuit breaker failed. Did Jim turning on his lamp at 8 PM cause the circuit breaker to fail? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:114", "request": "Question: Jim, Carol, Bob, and Nancy are researchers in a remote area, and they have a limited supply of electricity. Because of their limited supply, the electricity only comes on in the evenings from 8-9 PM, and they have to restrict who can use power on certain days. If four people turn on their lamps at the same time, the breaker will fail. The breaker will not fail if fewer people turn on their lamps at the same time. Jim, Carol, Bob, and Nancy are all allowed to use their lamps on Thursdays. This Thursday Jim turns on his lamp at 8 PM. Just then Carol turns on her lamp, Bob also turns on his lamp, and Nancy turns on her lamp. Since four people turned on their lamps at the same time, the circuit breaker failed. Did Jim turning on his lamp at 8 PM cause the circuit breaker to fail? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:115", "request": "Question: Jim, Carol, Bob, and Nancy are researchers in a remote area, and they have a limited supply of electricity. Because of their limited supply, the electricity only comes on in the evenings from 8-9 PM, and they have to restrict who can use power on certain days. If four people turn on their lamps at the same time, the breaker will fail. The breaker will not fail if fewer people turn on their lamps at the same time. Jim is not supposed to use his lamp on Thursdays. Carol, Bob, and Nancy may all use their lamps on Thursdays. This Thursday Jim turns on his lamp at 8 PM. Just then Carol turns on her lamp, Bob also turns on his lamp, and Nancy turns on her lamp. Since four people turned on their lamps at the same time, the circuit breaker failed. Did Jim turning on his lamp at 8 PM cause the circuit breaker to fail? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:124", "request": "Question: Louie is playing a game of basketball, and he made a bet with his friends who are watching on the sidelines. If Louie either makes a layup or makes a 3-point shot during the game, then he'll win $100. Just when the game started, Louie immediately got the ball at the 3-point line. He looked to the basket, dribbled in, and then made a layup right at the beginning of the game. Louie and his friends continued playing, but as hard as he tried, Louie couldn't make another shot. And then right at the end of the game as the clock was winding down, Louie got the ball at the 3-point line. He looked to the basket, focused his shot, and made a 3-point shot right at the buzzer. Then the game ended. Because Louie would win $100 if he either made a layup or a 3-point shot, Louie won $100. Did Louie win the $100 bet because he made the layup? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:125", "request": "Question: Louie is playing a game of basketball, and he made a bet with his friends who are watching on the sidelines. If Louie either makes a layup or makes a 3-point shot during the game, then he'll win $100. Just when the game started, Louie immediately got the ball at the 3-point line. He looked to the basket, focused his shot, and made a 3-point shot right at the beginning of the game. Louie and his friends continued playing, but as hard as he tried, Louie couldn't make another shot. And then right at the end of the game as the clock was winding down, Louie got the ball at the 3-point line. He looked to the basket, dribbled in, and then made a layup right at the buzzer. Then the game ended. Because Louie would win $100 if he either made a layup or a 3-point shot, Louie won $100. Did Louie win the $100 bet because he made the layup? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:126", "request": "Question: Louie and Claire are playing a game of basketball, and they made a bet with their friends who are watching on the sidelines. If either Louie makes a 3-point shot or Claire makes a 3-point shot during the game, then they'll win $100 and split it down the middle. Just when the game started, Louie immediately got the ball at the 3-point line. He looked to the basket, focused his shot, and made a 3-point shot right at the beginning of the game. Louie, Claire, and their friends continued playing, but as hard as they tried, Louie and Claire couldn't make another shot. And then right at the end of the game as the clock was winding down, Claire got the ball at the 3-point line. She looked to the basket, focused her shot, and made a 3- point shot right at the buzzer. Then the game ended. Because they would win $100 if either Louie made a 3-point shot or Claire made a 3- point shot, Louie and Claire won $100 and split it down the middle. Think about what could have been different in the story that you just read. Which event do you imagine happening differently: Louie making the 3-point shot right at the beginning of the game. Claire making the 3-point shot right at the buzzer. Did Louie and Claire win the $100 bet because Louie made the 3-point shot? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:127", "request": "Question: Louie and Claire are playing a game of basketball, and they made a bet with their friends who are watching on the sidelines. If either Louie makes a 3-point shot or Claire makes a 3-point shot during the game, then they'll win $100 and split it down the middle. Just when the game started, Claire immediately got the ball at the 3-point line. She looked to the basket, focused her shot, and made a 3-point shot right at the beginning of the game. Louie, Claire, and their friends continued playing, but as hard as they tried, Louie and Claire couldn't make another shot. And then right at the end of the game as the clock was winding down, Louie got the ball at the 3-point line. He looked to the basket, focused his shot, and made a 3-point shot right at the buzzer. Then the game ended. Because they would win $100 if either Louie made a 3-point shot or Claire made a 3- point shot, Louie and Claire won $100 and split it down the middle. Think about what could have been different in the story that you just read. Which event do you imagine happening differently: Claire making the 3-point shot right at the beginning of the game. Louie making the 3-point shot right at the buzzer. Did Louie and Claire win the $100 bet because Louie made the 3-point shot? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:140", "request": "Question: Ed is driving to the theater with a cord hanging out the side of his car. He approaches a rock resting by the side of the road. If he does not slow down, the rock will be knocked off the road by the cord and fall down a steep cliff. If he does slow down, he\\u2019ll be late to the theater. Ed keeps driving quickly and knocks the rock off the side of the road. Did Ed cause the rock to fall off the side of the road? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:141", "request": "Question: Ed is driving to the theater with a cord hanging out the side of his car. He approaches a rock that is about to fall off the side of the road and down a steep cliff. If he slows down, the cord will block the path of the rock and prevent it from falling, but Ed will be late to the theater. Ed keeps driving quickly and the rock falls off the side of the road. Did Ed cause the rock to fall off the side of the road? Reply Yes or No based on the answer the majority of people would give. If you think people would be split roughly 50-50 between Yes and No then reply Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:143", "request": "Question: Alice fills a sink with water. At each time interval Alice adds another drop of water. At one point the sink overflows. Is adding the last droplet of water a necessary cause for the sink to overflow? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:145", "request": "Question: Alice pushes Bob. Therefore, Bob is hit by a truck. Bob dies. If Alice had not pushed Bob, Bob would have been hit by a bus, which would have killed him as well. Is Alice pushing Bob a necessary cause for Bob's death? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:146", "request": "Question: Alice (AF) and Bob (BF) each fire a bullet at a window. The bullet fired by Alice reaches the window first (AR) and shatters it (WS). The bullet fired by Bob arrives at the same position. Is Alice firing the bullet a necessary cause for the window shattering? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:151", "request": "Question: Alice intends to put lethal poison into Carol's water. However, Alice does not put lethal poison into Carol's water (¬AP). Bob puts an antidote into Carol's water (BA). The water is lethal (L), if the poison is added without the addition of an antidote. If Carol would consume the lethal water she would die (CD). Carol consumes her water (CC). Carol does not die (¬CD). Is Alice not putting lethal poison into the water a necessary cause for Carol's survival? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:152", "request": "Question: Carol is alive (CA). Alice puts a harmless antidote in Carol's water (AA). Adding antidote to the water protects it against poison (WS - 'water save'). If Alice puts the antidote into Carol’s water, Bob will poison the water (BP). Adding poison to an unprotected water makes it toxic (WT). Carol consumes her water and survives (CS). If Carol would drink toxic water she would die. Is Alice putting the harmless antidote in the water a necessary cause for Carol's survival? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:155", "request": "Question: If there is hot weather, flowers will die. Watering prevents the flowers from dying in hot weather. The neighbor does not water the flowers in her yard, the weather is hot and the flowers die. Is the neighbor's inaction a necessary cause for the flowers' death? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:158", "request": "Question: Alice fills a sink with water. At each time interval Alice adds another drop of water. At one point the sink overflows. Is adding the last droplet of water a sufficient cause for the sink to overflow? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:160", "request": "Question: Alice pushes Bob. Therefore, Bob is hit by a truck. Bob dies. If Alice had not pushed Bob, Bob would have been hit by a bus, which would have killed him as well. Is Alice pushing Bob a sufficient cause for Bob's death? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:161", "request": "Question: Alice (AF) and Bob (BF) each fire a bullet at a window. The bullet fired by Alice reaches the window first (AR) and shatters it (WS). The bullet fired by Bob arrives at the same position. Is Alice firing the bullet a sufficient cause for the window shattering? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:166", "request": "Question: Alice intends to put lethal poison into Carol's water. However, Alice does not put lethal poison into Carol's water (¬AP). Bob puts an antidote into Carol's water (BA). The water is lethal (L), if the poison is added without the addition of an antidote. If Carol would consume the lethal water she would die (CD). Carol consumes her water (CC). Carol does not die (¬CD). Is Alice not putting lethal poison into the water a sufficient cause for Carol's survival? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:167", "request": "Question: Carol is alive (CA). Alice puts a harmless antidote in Carol's water (AA). Adding antidote to the water protects it against poison (WS - 'water save'). If Alice puts the antidote into Carol’s water, Bob will poison the water (BP). Adding poison to an unprotected water makes it toxic (WT). Carol consumes her water and survives (CS). If Carol would drink toxic water she would die. Is Alice putting the harmless antidote in the water a sufficient cause for Carol's survival? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:170", "request": "Question: If there is hot weather, flowers will die. Watering prevents the flowers from dying in hot weather. The neighbor does not water the flowers in her yard, the weather is hot and the flowers die. Is the neighbor's inaction a sufficient cause for the flowers' death? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:174", "request": "Question: Reagent X is added to a mixture. The mixture becomes hot, otherwise the mixture would have remained cold. In both cases (hot or cold), the mixture would have turned to crystal. The mixture turns to crystal. Is adding Reagent X to the mixture a necessary cause for the crystal formation? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:180", "request": "Question: Sam intends to add Reagent X to a mixture to make it explode. However, Sam does not add the reagent. Bob adds an anti-explosion Reagent Y to the mixture. The mixture would explode if Reagent X is added without the addition of Reagent Y. The mixture does not explode. Is Sam not adding Reagent X to the mixture a necessary cause for the mixture not exploding? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:182", "request": "Question: Reagent X and Y are both added to a mixture simultaneously and a crystal is formed. The crystal only forms if both reagents are added at the same time. Is adding Reagent X a necessary cause for the crystal formation? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:183", "request": "Question: There is a test tube on the left and a test tube on the right. Sam and Riya both order Frank to break the left test tube. Frank throws the left test tube, breaking it. Commands from Sam always trump commands from Riya (e.g. if Riya would have ordered to break the right test tube, Frank would still have thrown the left one). Without a command Frank would not have acted at all. Is Sam's order a necessary cause for the test tube to break? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:194", "request": "Question: Sam intends to add Reagent X to a mixture to make it explode. However, Sam does not add the reagent to the mixture. Bob add an anti-explosion Reagent Y to the mixture. The mixture would explode if Reagent X is added without the addition of Reagent Y. The mixture does not explode. Is Sam not adding Reagent X to the mixture a sufficient cause for mixture not exploding? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:196", "request": "Question: Reagent X and Y are both added to a mixture simultaneously and a crystal is formed. The crystal only forms if both reagents are added at the same time. Is adding Reagent X a sufficient cause for the crystal formation? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:causal_understanding:197", "request": "Question: There is a test tube on the left and a test tube on the right. Sam and Riya both order Frank to break the left test tube. Frank throws the left test tube, breaking it. Commands from Sam always trump commands from Riya (e.g. if Riya would have ordered to break the right test tube, Frank would still have thrown the left one). Without a command Frank would not have acted at all. Is Sam's order a sufficeint cause for the test tube to break? Reply based on the answer a logician would give.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:001", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The designer called the janitor and asked him to clean the room as soon as possible, but he went to fetch a cup of coffee first and then returned to his desk.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) Designer is cleaning the room as soon as possible and got coffee.\n(B) Janitor is cleaning the room as soon as possible and got coffee.\n(C) Designer is cleaning the room as soon as possible and janitor got coffee.\n(D) Janitor is cleaning the room as soon as possible and designer got coffee.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:002", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The nurse stayed away from the laborer because she was very busy. He was very frustrated that she was singing out loud even though they both had work to do.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The nurse was busy and was singing.\n(B) The laborer was busy and was singing.\n(C) They were both busy and the nurse was singing.\n(D) They were both busy and the laborer was singing.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:004", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The student rushed to the architect’s office to review his blueprints and to fetch his jacket. It was his first time there so it took some time to find where the jacket and blueprints were.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The student was reviewing the student’s blueprints and fetching his jacket.\n(B) The student was reviewing the architect’s blueprints and fetching the architect’s jacket.\n(C) The student was reviewing the student’s blueprints and fetching the architect’s jacket.\n(D) The student was reviewing the architect’s blueprints and fetching the student’s jacket.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:009", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The artist called the scientist to collaborate and share her story. They prepared to go to the producers office. When they met, they were so surprised that it was Sam, their old college roommate.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The artist’s name is Sam.\n(B) The scientist’s name is Sam.\n(C) One of the producer’s name is Sam.\n(D) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:012", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: It is always hard to defend a client who has been illegally accused. This wasn't their first time, but it still took a while for the lawyer to understand the case.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) It was the lawyer’s first time defending a client who was illegally accused.\n(B) It was the first time the client has been illegally accused.\n(C) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:013", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The developer corrected the doctor because he had better understood the problem. He had also corrected his secretary a few days ago.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The developer corrected the doctor and the doctor’s secretary.\n(B) The developer corrected the doctor and the developer’s secretary.\n(C) The developer corrected the doctor.\n(D) The developer corrected the secretary.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:014", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The salesperson bumped into a famous writer. He thought him a fool so tried to sell him trinkets that were worthless. However his ploy was seen through when the old typewriter he claimed to have written his past famous books on did not work at all.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The salesperson was trying to sell the writer a typewriter that the salesperson claim he wrote books with.\n(B) The famous writer was trying to sell the salesperson a typewriter that the writer claim he wrote his famous books with.\n(C) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:016", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The technician told the customer who was himself a mechanic that a repair was needed soon. He then quickly got the confirmation he needed to begin the repair and finished it quickly.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The mechanic recommended the repair and finished it quickly\n(B) The technician recommended the repair and the mechanic finished it quickly\n(C) The mechanic recommended the repair and the technician finished it quickly\n(D) The technician recommended the repair and finished it quickly\n(E) Ambiguous", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:018", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The employee told the manager that he should not forget to move his car. After work, however, his car was still there much to the chagrin of Tim who has been frustrated by Tom’s mismanagement for a long time.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The employee is Tom and the manager is Tim and Tom’s car needed to be moved\n(B) The employee is Tim and the manager is Tom and Tim’s car needed to be moved\n(C) The employee is Tim and the manager is Tom and Tom’s car needed to be moved\n(D) The employee is Tim and the manager is Tom and Tim’s car needed to be moved\n(E) Ambiguous", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:019", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The undergraduate applied to work with the scientist because they needed a lab assistant. After joining the lab, they forgot to file paperwork for the agency so they were fired by the university.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The scientist needed an assistant and the scientist was fired\n(B) The undergraduate needed an assistant and the scientist was fired.\n(C) The scientist needed an assistant and the undergraduate was fired.\n(D) The undergraduate needed an assistant and the undergraduate was fired.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:020", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The hygienist made a house call for the patient because she felt gravely ill. She told her that she should floss every day.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The hygienist felt ill and the patient should floss.\n(B) The patient felt ill and the patient should floss.\n(C) The hygienist felt ill and the hygienist should floss.\n(D) The patient felt ill and the hygienist should floss.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:021", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The pathologist obtained tissue samples from the patient to look at under her microscope. She was then referred to the surgeon because she had a rare skin condition. After the examination, they warned her that she needed to get more rest.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) It was the pathologist’s microscope and the surgeon warned that the patient needed more rest.\n(B) It was the patient’s microscope and the pathologist warned that the patient needed more rest.\n(C) The pathologist had a skin condition and the surgeon warned that the pathologist needed more rest.\n(D) It was the pathologist’s microscope and the pathologist warned that the patient needed more rest.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:024", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The engineer was meeting with the client to discuss his payment policy. He informed him that he would need to make all future payments on time.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) It was the engineer's payment policy and the engineer should make payments.\n(B) It was the client's payment policy and the engineer should make payments.\n(C) It was the engineer’s payment policy and the client should make payments.\n(D) It was the client’s payment policy and the client should make payments.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:026", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The educator was meeting with a teaching assistant to discuss her grading policy. She found the grading policy quite surprising. She sent an email to the students to ask their opinion.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) It was the educator’s grading policy. The assistant found it surprising and sent the email.\n(B) It was the educator’s grading policy. The assistant found it surprising. The educator sent the email.\n(C) It was the assistant’s grading policy. The educator found it surprising and sent the email.\n(D) It was the assistant’s grading policy. The educator found it surprising. The assistant sent the email.\n(E) It was the educator’s grading policy. The assistant found it surprising. Ambiguous who sent the letter.\n(F) It was the assistant’s grading policy. The assistant found it surprising. Ambiguous who sent the letter.\n(G) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:030", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The tailor and the mechanic met at his house to discuss the project. He was pretty shocked to see a sewing machine there. Their meeting started later than expected because he got an important call right at the time the meeting was supposed to start.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The meeting was at the tailor's house. The mechanic was shocked. The mechanic got the call.\n(B) The meeting was at the tailor’s house. It is ambiguous who was shocked. The mechanic got the call.\n(C) The meeting was at the tailor’s house. It is ambiguous who was shocked. It is ambiguous who got the call.\n(D) The meeting was at the mechanic’s house. The tailor was shocked. The tailor got the call.\n(E) The meeting was at the mechanic’s house. The tailor was shocked. It is ambiguous who got the call.\n(F) The meeting was at the mechanic’s house. It is ambiguous who was shocked. It is ambiguous who got the call.\n(G) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:031", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: After eating about half of his lunch, Sam had to meet the professor at their office. After drinking some tea together, she started complaining about the new school policy. She felt it was unfair to students and put too much pressure on teachers. She explained how she has seen problems caused by similar policies in the past. After hearing these patiently, he also opened up and explained his frustration with how his office has been damaged and he has not been able to use it for several weeks now, while finishing his lunch.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) They met at the professor’s office. The professor complained about the school policy.\n(B) They met at the professor’s office. Sam complained about the school policy.\n(C) They met at the professor’s office. It is ambiguous who complained about the school policy.\n(D) They met at Sam’s office. Sam complained about the school policy.\n(E) They met at Sam’s office. The professor complained about the school policy.\n(F) They met at Sam’s office. It is ambiguous who complained about the school policy.\n(G) It is ambiguous whose office they met at. The professor complained about the school policy.\n(H) It is ambiguous whose office they met at. Sam complained about the school policy.\n(I) It is ambiguous whose office they met at. It is ambiguous who complained about the school policy.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:032", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The scientist collaborated with the artist and he shared a story. She listened carefully and found the story implausible so she decided to ask some questions to verify if he is telling the truth. She asked his colleague whether he was present there at the time when all of that happened. Hearing this question, he got mad and decided to stop the collaboration.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The scientist shared a story. The colleague got mad.\n(B) The scientist shared a story. The scientist got mad.\n(C) The artist shared a story. The colleague got mad.\n(D) The artist shared a story. The artist got mad.\n(E) The scientist shared a story. It is ambiguous who got mad.\n(F) The artist shared a story. It is ambiguous who got mad.\n(G) It is ambiguous who shared a story. The scientist got mad.\n(H) It is ambiguous who shared a story. The artist got mad.\n(I) It is ambiguous who shared a story. The colleague got mad.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:033", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The designer showed the cook a blueprint and asked him for feedback. He argued with the developer because she didn’t like the design.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The designer didn’t like the design and the cook was asked for feedback.\n(B) The developer didn’t like the design and the designer was asked for feedback.\n(C) The developer didn’t like the design and the cook was asked for feedback.\n(D) The designer didn’t like the design and the designer was asked for feedback.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:036", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Bailey planned to meet the director at their office. They hoped they were available.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The office was the director's office. Bailey hoped the director was available.\n(B) The office was the director's office. The director hoped Bailey was available.\n(C) The office was Bailey's office. The director hoped Bailey was available.\n(D) Ambiguous whose office it was. Ambiguous who hoped who was available.\n(E) Ambiguous whose office it was. Bailey hoped the director was available.\n(F) Ambiguous whose office it was. The director hoped Bailey was available.\n(G) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:039", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The lawyer arrived in his office to meet with the doctor and discuss her case. She was worried about the outcome. She decided to call her wife and tell her the news.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The lawyer was worried. The lawyer called his wife.\n(B) The doctor was worried. The doctor called her wife.\n(C) The lawyer was worried. The doctor called his wife.\n(D) The doctor was worried. The lawyer called his wife.\n(E) It is ambiguous who was worried and who called the wife. \n(F) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:040", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The chef was angry with the waiter because he forgot to place an order. He was worried about losing his job. He went to speak to the manager.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The chef forgot the order. The chef was worried. The chef spoke to the manager.\n(B) The waiter forgot the order. The waiter was worried. The waiter spoke to the manager.\n(C) The waiter forgot the order. It is ambiguous who was worried. It is ambiguous who spoke to the manager.\n(D) The chef forgot the order. The chef was worried. The waiter spoke to the manager.\n(E) The waiter forgot the order. The waiter was worried. The chef spoke to the manager.\n(F) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:044", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The lawyer representing the defendant in the case was known for his aggressive tactics. He often argued with the judge and opposing counsel, which frustrated the client. Despite this, he was confident that he could win the case. The jury, however, was ultimately unconvinced.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The judge was frustrated with the lawyer. \n(B) The client was confident that he could win.\n(C) The lawyer was confident that he could win.\n(D) It is ambiguous who was confident he could win.\n(E) The client had aggressive tactics.\n(F) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:045", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The artist was excited to show his latest work to the gallery owner. She was impressed by his use of color and texture, but she felt the composition was lacking. She suggested he revisit the piece and make some adjustments before he could consider displaying it.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The gallery owner was impressed by the use of color and texture. The gallery owner suggested revisiting the piece.\n(B) The gallery owner was impressed by the use of color and texture. The artist suggested revisiting the piece.\n(C) The artist was impressed by the use of color and texture. The gallery owner suggested revisiting the piece.\n(D) The artist was impressed by the use of color and texture. The artist suggested revisiting the piece.\n(E) Ambiguous who was impressed by the use of color and texture. Ambiguous who suggested revisiting the piece.\n(F) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:046", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The artist was excited to show her latest work to the gallery owner. She was impressed by her use of color and texture, but she felt the composition was lacking. She suggested she revisit the piece and make some adjustments before displaying it.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The gallery owner was impressed by the use of color and texture. The gallery owner suggested revisiting the piece.\n(B) The gallery owner was impressed by the use of color and texture. It is ambiguous who suggested revisiting the piece.\n(C) The gallery owner was impressed by the use of color and texture. The artist suggested revisiting the piece.\n(D) The artist was impressed by the use of color and texture. The gallery owner suggested revisiting the piece.\n(E) The artist was impressed by the use of color and texture. The artist suggested revisiting the piece.\n(F) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:050", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Two siblings fight over their toys. He says she is ruining them all with her clumsiness. She complains that he never lets her play with anything, and it's not fair. The first parent, exasperated, walks in and asks what all the commotion is about. He insists that she's too rough. She will break the truck. The second parent, hearing the commotion from his study, emerges to see what's happening. She rolls her eyes and says he's just being mean.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The two siblings are a male and a female. The male sibling insists that the female sibling is rough. The first parent rolls her eyes. \n(B) The two siblings are two males. The male sibling insists that the female sibling is rough. The female sibling rolls her eyes.\n(C) The two siblings are a male and a female. The male sibling insists that the female is rough. It is ambiguous who, between the first parent and the female sibling, is rolling her eyes.\n(D) The two siblings are a male and a female. The male sibling insists that the female sibling is rough. It is ambiguous who, between the first parent and the second parent, is rolling her eyes.\n(E) The two siblings are a male and a female. The female sibling rolls her eyes. It is ambiguous who, between the male sibling and the first parent, is insisting.\n(F) The two siblings are a male and a female. It is ambiguous who insists that the female sibling is rough and who rolls her eyes.\n(G) The two siblings are a male and a female. The first parent is a female. It is ambiguous who insists that the female sibling is rough and who rolls her eyes.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:054", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The doctor told the dancer her ankle was twisted. However, being medically trained, she was able to take care of her own wound and they quickly returned home from the hike.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The doctor’s ankle was twisted. The doctor was able to take care of her own wound.\n(B) The doctor’s ankle was twisted. The dancer was able to take care of her own wound.\n(C) The dancer’s ankle was twisted. The doctor was able to take care of her own wound.\n(D) The dancer’s ankle was twisted. The dancer was able to take care of her own wound.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:058", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Sam met with the producers in the lobby and they went up to their office. It contained a gallery of Sam’s previous works and the producers were duly impressed.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) Sam went up to the producer’s office.\n(B) Sam went up to Sam’s office.\n(C) The producers went up to the producers’ office.\n(D) The producers went up to Sams’ office.\n(E) Sam and the producers went up to the producers’ office together.\n(F) Sam and the producers went up to Sam’s office together.\n(G) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:060", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The teacher told the teenager that he hated pasta when he was very young. He was too young to remember at the time, so the teacher reminds him whenever they serve spaghetti at the canteen.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The teacher told the teenager that the teacher hated pasta when the teacher was very young. The teacher was too young to remember.\n(B) The teacher told the teenager that the teacher hated pasta when the teacher was very young. The teenager was too young to remember.\n(C) The teacher told the teenager that the teacher hated pasta when the teenager was very young. The teacher was too young to remember.\n(D) The teacher told the teenager that the teacher hated pasta when the teenager was very young. The teenager was too young to remember.\n(E) The teacher told the teenager that the teenager hated pasta when the teacher was very young. The teacher was too young to remember.\n(F) The teacher told the teenager that the teenager hated pasta when the teacher was very young. The teenager was too young to remember.\n(G) The teacher told the teenager that the teenager hated pasta when the teenager was very young. The teacher was too young to remember.\n(H) The teacher told the teenager that the teenager hated pasta when the teenager was very young. The teenager was too young to remember.\n(I) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:063", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Cameron contracted a carpenter to work on her house. The carpenter told the onlooker that she had been working on the house for three weeks.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) Cameron contracted a carpenter to work on Cameron’s house. Cameron had been working on the house for three weeks.\n(B) Cameron contracted a carpenter to work on Cameron’s house. The carpenter had been working on the house for three weeks.\n(C) Cameron contracted a carpenter to work on the carpenter’s house. Cameron had been working on the house for three weeks.\n(D) Cameron contracted a carpenter to work on the carpenter’s house. The carpenter had been working on the house for three weeks.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:069", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The developer argued with the architect because they did not like the design they shared with the civil engineer.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The developer did not like the design the designer shared with the civil engineer.\n(B) The designer did not like the design the developer shared with the civil engineer.\n(C) The civil engineer did not like the design it was shared with them.\n(D) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:070", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The DJ asked the bartender for some water and he told her it will take a few minutes.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The DJ and the bartender are women. The bartender will bring the DJ water in a few minutes.\n(B) The bartender is a woman, and it is ambiguous whether the DJ is a woman. The DJ wants some water.\n(C) The DJ is a woman. The bartender will bring the DJ water in a few minutes.\n(D) It is ambiguous whether the DJ and the bartender are women. The DJ will receive water in a few minutes. \n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:074", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The designer showed the cook a blueprint and asked him for feedback. He wanted to know if the kitchen layout would be practical for a professional.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The cook asked the designer for feedback\n(B) The designer asked the cook for feedback.\n(C) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:079", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The waiter asked the diner if he would like dessert, and he said that the chocolate cake was particularly good.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The waiter said the cake was good.\n(B) The diner said the cake was good.\n(C) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:081", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Sam asked Micah if she could help him with his homework. She said that she was busy but that he could ask Bill.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) Sam needed help but Micah was busy. Micah said that Sam could ask Bill for help.\n(B) Micah needed help but Sam was busy. Sam siad that Micah could ask Bill for help.\n(C) Sam needed help but Micah was busy. Sam said Micah could ask Bill for help.\n(D) Micah needed help but Sam was busy. Micah siad that Sam could ask Bill for help.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:082", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The dog chased the cat around the room until it collapsed from exhaustion.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The dog collapsed from exhaustion.\n(B) The cat collapsed from exhaustion.\n(C) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:088", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The teachers met with the parents of the student. They were concerned about her academic performance, and they were planning to meet with the principal later that week.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The teachers were concerned and planning to meet the principal. \n(B) The parents were concerned and planning to meet the principal.\n(C) The parents and the teachers were concerned and planning to meet the principal.\n(D) The parents, the teachers, and the student were concerned and planning to meet the principal.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:091", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The doctor drove down the street in his car. He stopped at his neighbor’s house. She remarked that it was a nice day; in response they remarked about how the flowers were looking exceptionally nice this year.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) She refers to the doctor.\n(B) He refers to the neighbor.\n(C) The neighbor said it was a nice day.\n(D) The doctor has flowers.\n(E) The doctor said it was a nice day.\n(F) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:097", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Alex and Sam went on a camping trip. She enjoyed hiking, and he loved sitting by the campfire. He then told her stories about constellations.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) Alex enjoyed hiking. Sam enjoyed sitting by the campfire and told Alex constellation stories.\n(B) Sam enjoyed hiking. Alex enjoyed sitting by the campfire and told Sam stories about constellations.\n(C) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:102", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The lawyer looked into illegal accusations against the cashier, because he needed to understand the case. The nurse was running from the lawyer because they smelled awful.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The nurse smelled awful and the lawyer needed to understand.\n(B) The nurse smelled awful and the cashier needed to understand.\n(C) The lawyer smelled awful and the cashier needed to understand.\n(D) The lawyer smelled awful and the lawyer needed to understand.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:103", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The developer met with the secretary because she made a mistake but the developer was unable to communicate with the writer because they focus on code.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The developer focuses on code and the secretary made a mistake.\n(B) The developer focuses on code and the developer made a mistake.\n(C) The writer focuses on code and the secretary made a mistake.\n(D) The writer focuses on code and the developer made a mistake.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:105", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: Bailey planned to meet the cook at her kitchen. The cook is always teaching the assistant new techniques there because she likes to teach others.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The kitchen was the cook’s kitchen and the cook likes to teach.\n(B) The kitchen was Bailey's kitchen and the cook likes to teach.\n(C) The kitchen was Bailey's kitchen and the assistant likes to teach.\n(D) The kitchen was the cook’s kitchen and the assistant likes to teach.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:108", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The customer and the chef discussed her culinary training. And the reporter and the chef discussed her favorite dishes.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) It was the chef's culinary training and they discussed the chef's favorite dishes.\n(B) It was the customer's culinary training and they discussed the reporter's favorite dishes.\n(C) It was the chef’s culinary training and they discussed the reporter's favorite dishes.\n(D) It was the customer's culinary training and they discussed the chef's favorite dishes.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:110", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The couple walked hand-in-hand through the park. He pointed out a beautiful flower to the partner who smiled back. He picked it and gave it to her, and she tucked it behind his ear.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The person who pointed to the flower is definitely male, and the one who smiled might be male or female.\n(B) The person who smiled is definitely female, and the one who pointed might be male or female.\n(C) Both people are definitely female.\n(D) Exactly one person is male.\n(E) Both people are definitely male.\n(F) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:111", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: A person was walking with their child in the park when they saw a friend walking the dog. They stopped to chat. The friend admired the child’s blue eyes and said “You are so cute!”. He thanked her for the compliment.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The person walking the dog is definitely female and the parent is definitely male. \n(B) The person walking the dog is definitely female and the parent is definitely female.\n(C) The child is definitely male and the parent is definitely male. \n(D) The child is definitely female and the parent is definitely male. \n(E) The person walking the dog is definitely female. The child’s gender is ambiguous. \n(F) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:112", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The chief thanked the housekeeper with some tips, she then asked him to clean up the dinner, which they had just finished.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The chief gave some tips and the chief cleaned up dinner.\n(B) The housekeeper gave some tips and the housekeeper cleaned up dinner.\n(C) The chief thanked the housekeeper and the housekeeper cleaned up dinner.\n(D) The chief thanked the housekeeper and the chief cleaned up dinner. \n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:114", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The head chef demonstrated a new dish to the kitchen staff. One of the line cooks seemed confused. The sous chef then told her that they also thought the seasoning was too intense and might overpower the other flavors.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The head chef and line cook are definitely women.\n(B) The restaurant has at least one female employee.\n(C) The sous chef and head chef are definitely women.\n(D) The sous chef is definitely a woman, and the head chef could be a man or a woman.\n(E) The head chef is definitely a woman.\n(F) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:115", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The construction supervisor tripped and nearly fell off of the scaffolding. A nearby worker grabbed his hardhat and yelled “be careful there!”\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The construction supervisor is male, the nearby worker could be male or female.\n(B) The nearby worker is male, the construction supervisor could be male or female.\n(C) It is ambiguous which of the two is male: it could be both, one of them, or neither.\n(D) It is ambiguous which of the two is male, it could be both or just one of them.\n(E) None of the above.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:116", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The string quartet was nearly done. The violist caught the eye of the first violin and winked at her. She winked back, and the cellist nearly dropped her bow.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The quartet has at least two female members.\n(B) The violist is definitely female, and the cellist might be female of male.\n(C) The cellist is definitely female, and the first violin might be female or male.\n(D) The quartet has exactly one female member.\n(E) The cellist and violist are female.\n(F) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:disambiguation_qa:118", "request": "Here is a sentence with pronoun(s) whose antecedent(s) can either be derived from the context or is ambiguous.\nSentence: The designer collaborated with the carpenter and gave her a blueprint, he then told the customer that he could pay with cash.\nWhich of the following options correctly explains the antecedent(s) of the pronoun(s)?\n(A) The designer could pay and the designer gave a blueprint.\n(B) The customer could pay and the carpenter gave a blueprint.\n(C) The carpenter could pay and the carpenter gave a blueprint.\n(D) The customer could pay and the designer gave a blueprint.\n(E) Ambiguous.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:000", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < < > > ) [ ( { ( { } ) } ) ( < { [ ] } > ( < > ) ) { < ( [ [ ( ) ] ] ) > } { < < { ( < < > > ) } > > } ( < { } { ( ) } > ) ( )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: < ; stack: ( < <\nThought 6: > ; stack: ( <\nThought 7: > ; stack: empty\nThought 8: ) ; stack: empty\nThought 9: [ ; stack: [\nThought 10: ( ; stack: [ (\nThought 11: { ; stack: [ ( {\nThought 12: ( ; stack: [ ( { (\nThought 13: { ; stack: [ ( { {\nThought 14: } ; stack: [ ( {\nThought 15: } ; stack: [ (\nThought 16: ) ; stack: [\nThought 17: ) ; stack: empty\nThought 18: ( ; stack: (\nThought 19: < ; stack: ( <\nThought 20: { ; stack: ( < {\nThought 21: [ ; stack: ( < { [\nThought 22: ] ; stack: ( < {\nThought 23: } ; stack: ( <\nThought 24: > ; stack: empty\nThought 25: ( ; stack: (\nThought 26: < ; stack: ( <\nThought 27: > ; stack: empty\nThought 28: ) ; stack: empty\nThought 29: { ; stack: {\nThought 30: < ; stack: { <\nThought 31: ( ; stack: { < (\nThought 32: [ ; stack: { < ( [\nThought 33: [ ; stack: { < ( [ [\nThought 34: ( ; stack: { < ( [ [ (\nThought 35: ) ; stack: { < ( [ [\nThought 36: ] ; stack: { < ( [\nThought 37: ] ; stack: { < (\nThought 38: ) ; stack: { <\nThought 39: > ; stack: empty\nThought 40: } ; stack: empty\nThought 41: { ; stack: {\nThought 42: < ; stack: { <\nThought 43: < ; stack: { < <\nThought 44: { ; stack: { < < {\nThought 45: ( ; stack: { < < { (\nThought 46: < ; stack: { < < { ( <\nThought 47: < ; stack: { < < { ( < <\nThought 48: > ; stack: { < < { ( <\nThought 49: > ; stack: { < < {\nThought 50: } ; stack: { < <\nThought 51: > ; stack: empty\nThought 52: } ; stack: empty\nThought 53: ( ; stack: (\nThought 54: < ; stack: ( <\nThought 55: { ; stack: ( < {\nThought 56: } ; stack: ( <\nThought 57: { ; stack: ( < {\nThought 58: ( ; stack: ( < { (\nThought 59: ) ; stack: ( < {\nThought 60: } ; stack: ( <\nThought 61: ) ; stack: empty\nThought 62: ) ; stack: empty\nThought 63: Now, we have reached the end. The final stack is empty.\nThought 64: So the answer is\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:002", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { < [ [ ] { ( [ < < ( { ( < [ ] > ) < > } ) > > ] ) ( < { ( < > ) } > [ [ ] ] ( [ ( ) ] [ < [ < ( [ { } ] ) > ] { } > ] ) ) { [ < ( ) > ] } } [ ( ) ] ] > ( [ ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: < ; stack: [ { <\nThought 6: [ ; stack: [ { < [\nThought 7: [ ; stack: [ { < [ [\nThought 8: ] ; stack: [ { < [\nThought 9: { ; stack: [ { < {\nThought 10: ( ; stack: [ { < { (\nThought 11: [ ; stack: [ { < { ( [\nThought 12: < ; stack: [ { < { ( [ <\nThought 13: < ; stack: [ { < { ( [ < <\nThought 14: ( ; stack: [ { < { ( [ < < (\nThought 15: { ; stack: [ { < { ( [ < < {\nThought 16: ( ; stack: [ { < { ( [ < < { (\nThought 17: < ; stack: [ { < { ( [ < < { ( <\nThought 18: [ ; stack: [ { < { ( [ < < { ( < [\nThought 19: ] ; stack: [ { < { ( [ < < { ( <\nThought 20: > ; stack: [ { < { ( [ < < {\nThought 21: > ; stack: [ { < { ( [ <\nThought 22: ] ; stack: [ { < { ( [\nThought 23: ) ; stack: [ { < {\nThought 24: ) ; stack: [ { <\nThought 25: ( ; stack: [ { < (\nThought 26: < ; stack: [ { < ( <\nThought 27: { ; stack: [ { < ( < {\nThought 28: ( ; stack: [ { < ( < { (\nThought 29: < ; stack: [ { < ( < { ( <\nThought 30: > ; stack: [ { < ( < {\nThought 31: ) ; stack: [ { < ( <\nThought 32: ) ; stack: [ { <\nThought 33: ) ; stack: [ {\nThought 34: ] ; stack: [\nThought 35: > ; stack: empty\nThought 36: ( ; stack: (\nThought 37: [ ; stack: ( [\nThought 38: ] ; stack: (\nThought 39: ) ; stack: empty\nThought 40: Now, we have reached the end. The final stack is \"( [ ]\".\nThought 41: We will need to pop out \"[\", \"(\" one by one in that order.\nThought 42: So, we need \"]\", \")\". So the answer is ] )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:003", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { [ ( ) ] } > ( [ ] ) { } < > ( [ { [ < [ { < [ ( < < [ ( ) ] > > ) ] > } ] > ] } ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: [ ; stack: < { [\nThought 6: ( ; stack: < { [ (\nThought 7: ) ; stack: < { [\nThought 8: ] ; stack: < {\nThought 9: } ; stack: <\nThought 10: > ; stack: empty\nThought 11: ( ; stack: (\nThought 12: [ ; stack: ( [\nThought 13: ] ; stack: (\nThought 14: ) ; stack: empty\nThought 15: { ; stack: {\nThought 16: } ; stack: empty\nThought 17: < ; stack: <\nThought 18: > ; stack: empty\nThought 19: ( ; stack: (\nThought 20: [ ; stack: ( [\nThought 21: { ; stack: ( [ {\nThought 22: [ ; stack: ( [ { [\nThought 23: < ; stack: ( [ { [ <\nThought 24: [ ; stack: ( [ { [ < [\nThought 25: { ; stack: ( [ { [ < [ {\nThought 26: < ; stack: ( [ { [ < [ { <\nThought 27: [ ; stack: ( [ { [ < [ { < [\nThought 28: ( ; stack: ( [ { [ < [ { < [ (\nThought 29: < ; stack: ( [ { [ < [ { < [ ( <\nThought 30: < ; stack: ( [ { [ < [ { < [ ( < <\nThought 31: [ ; stack: ( [ { [ < [ { < [ ( < < [\nThought 32: ( ; stack: ( [ { [ < [ { < [ ( < < [ (\nThought 33: ) ; stack: ( [ { [ < [ { < [ ( < < [\nThought 34: ] ; stack: ( [ { [ < [ { < [ ( < <\nThought 35: > ; stack: ( [ { [ < [ { < [ ( <\nThought 36: ] ; stack: ( [ { [ < [ { < [\nThought 37: > ; stack: ( [ { [ < [ {\nThought 38: } ; stack: ( [ { [ < [\nThought 39: ] ; stack: ( [ { [\nThought 40: ] ; stack: ( [ {\nThought 41: } ; stack: ( [\nThought 42: ] ; stack: (\nThought 43: } ; stack: empty\nThought 44: Now, we have reached the end. The final stack is \"(\".\nThought 45: We will need to pop out \"(\" one by one in that order.\nThought 46: So, we need \")\". So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:006", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ) { } < { ( ( [ < { { < < [ [ [ [ ( < > ) ] ] [ { } { } ] ] ] > [ [ ] ] { [ < ( ) > ] } { ( [ ] ) } > } } > ( ) ] ) [ [ { < ( ( ) ) > [ < [ { } ] > ] } ] ] ) } > { < ( ) < >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ) ; stack: empty\nThought 5: { ; stack: {\nThought 6: } ; stack: empty\nThought 7: < ; stack: <\nThought 8: { ; stack: < {\nThought 9: ( ; stack: < { (\nThought 10: ( ; stack: < { ( (\nThought 11: [ ; stack: < { ( ( [\nThought 12: < ; stack: < { ( ( [ <\nThought 13: { ; stack: < { ( ( [ < {\nThought 14: { ; stack: < { ( ( [ < { {\nThought 15: < ; stack: < { ( ( [ < { { <\nThought 16: [ ; stack: < { ( ( [ < { { < [\nThought 17: [ ; stack: < { ( ( [ < { { < [ [\nThought 18: [ ; stack: < { ( ( [ < { { < [ [ [\nThought 19: ( ; stack: < { ( ( [ < { { < [ [ [ (\nThought 20: < ; stack: < { ( ( [ < { { < [ [ [ ( <\nThought 21: > ; stack: < { ( ( [ < { { < [ [ [ (\nThought 22: ) ; stack: < { ( ( [ < { { < [ [ [\nThought 23: ] ; stack: < { ( ( [ < { { < [ [\nThought 24: ] ; stack: < { ( ( [ < { { < [\nThought 25: ] ; stack: < { ( ( [ < { {\nThought 26: ] ; stack: < { ( ( [ < {\nThought 27: ] ; stack: < { ( ( [\nThought 28: ] ; stack: < { ( (\nThought 29: ] ; stack: < { (\nThought 30: ) ; stack: < {\nThought 31: ] ; stack: <\nThought 32: ) ; stack: empty\nThought 33: ; stack: empty\nThought 34: Now, we have reached the end. The final stack is empty.\nThought 35: We will need to pop out all the elements in the stack.\nThought 36: So, we need nothing. So the answer is > ) ] ] [ [ { < ( ( ) ) > [ < [ { } ] > ] } ] ] ) } > { < ( ) < >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:007", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < [ ] < { ( { < [ < > ] > < [ ] > } ) } > > > [ [ ] [ [ ] ] ] [ ( ) ] < < [ { [ ( ) ] } { } ] ( { }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: [ ; stack: < < [\nThought 6: ] ; stack: < <\nThought 7: < ; stack: <\nThought 8: { ; stack: < {\nThought 9: ( ; stack: < { (\nThought 10: { ; stack: < { ( {\nThought 11: < ; stack: < { ( { <\nThought 12: [ ; stack: < { ( { < [\nThought 13: < ; stack: < { ( { < [ <\nThought 14: > ; stack: < { ( { < [\nThought 15: ] ; stack: < { ( { <\nThought 16: > ; stack: < { ( {\nThought 17: < ; stack: < { (\nThought 18: [ ; stack: < { ( [\nThought 19: ] ; stack: < { (\nThought 20: } ; stack: < {\nThought 21: } ; stack: <\nThought 22: > ; stack: empty\nThought 23: > ; stack: empty\nThought 24: > ; stack: empty\nThought 25: [ ; stack: [\nThought 26: [ ; stack: [ [\nThought 27: ] ; stack: [\nThought 28: [ ; stack: [\nThought 29: [ ; stack: [ [\nThought 30: ] ; stack: [\nThought 31: [ ; stack: [\nThought 32: ( ; stack: [ (\nThought 33: ) ; stack: [\nThought 34: ] ; stack: empty\nThought 35: < ; stack: <\nThought 36: < ; stack: < <\nThought 37: [ ; stack: < < [\nThought 38: { ; stack: < < [ {\nThought 39: [ ; stack: < < [ { [\nThought 40: ( ; stack: < < [ { [ (\nThought 41: ) ; stack: < < [ { [\nThought 42: ] ; stack: < < [ {\nThought 43: } ; stack: < < [\nThought 44: } ; stack: < <\nThought 45: ] ; stack: <\nThought 46: ( ; stack: < (\nThought 47: { ; stack: < ( {\nThought 48: Now, we have reached the end. The final stack is \"< ( {\".\nThought 49: We will need to pop out \"{\", \"(\", \"<\" one by one in that order.\nThought 50: So, we need \"}\", \")\", \">\". So the answer is } ) >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:008", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < > ( ( [ ] ) { ( { } ) } < [ < [ [ ] ] > ] > ) [ { ( [ ] ) } ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: > ; stack: empty\nThought 6: ( ; stack: (\nThought 7: ( ; stack: ( (\nThought 8: [ ; stack: ( ( [\nThought 9: ] ; stack: ( (\nThought 10: ) ; stack: (\nThought 11: { ; stack: {\nThought 12: ( ; stack: { (\nThought 13: { ; stack: { ( {\nThought 14: } ; stack: { (\nThought 15: } ; stack: {\nThought 16: < ; stack: { <\nThought 17: [ ; stack: { < [\nThought 18: < ; stack: { < [ <\nThought 19: [ ; stack: { < [ < [\nThought 20: [ ; stack: { < [ < [ [\nThought 21: ] ; stack: { < [ < [\nThought 22: ] ; stack: { < [ <\nThought 23: ] ; stack: { < [\nThought 24: > ; stack: { <\nThought 25: ) ; stack: {\nThought 26: [ ; stack: [\nThought 27: { ; stack: [ {\nThought 28: ( ; stack: [ { (\nThought 29: [ ; stack: [ { ( [\nThought 30: ] ; stack: [ { (\nThought 31: ) ; stack: [ {\nThought 32: } ; stack: [\nThought 33: ] ; stack: empty\nThought 34: Now, we have reached the end. The final stack is empty.\nThought 35: So the answer is > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:011", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { { < < [ { { [ { < < > > } ] } } ] > [ [ ] ] [ < < { < [ ] > } > ( ) > ( ( ( ( < [ [ { } ] ] > ) [ { } ] ) ) ) ] [ ] >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: { ; stack: { {\nThought 5: < ; stack: { { <\nThought 6: < ; stack: { { < <\nThought 7: [ ; stack: { { < < [\nThought 8: { ; stack: { { < < [ {\nThought 9: { ; stack: { { < < [ { {\nThought 10: { ; stack: { { < < [ { { {\nThought 11: < ; stack: { { < < [ { { { <\nThought 12: < ; stack: { { < < [ { { { < <\nThought 13: > ; stack: { { < < [ { { { <\nThought 14: > ; stack: { { < < [ { {\nThought 15: } ; stack: { { < < [ {\nThought 16: } ; stack: { { < < [\nThought 17: } ; stack: { { <\nThought 18: ] ; stack: { {\nThought 19: > ; stack: {\nThought 20: [ ; stack: { [\nThought 21: [ ; stack: { [ [\nThought 22: ] ; stack: { [\nThought 23: ] ; stack: {\nThought 24: [ ; stack: { [\nThought 25: < ; stack: { [ <\nThought 26: < ; stack: { [ < <\nThought 27: { ; stack: { [ < < {\nThought 28: < ; stack: { [ < < { <\nThought 29: ] ; stack: { [ < < {\nThought 30: ] ; stack: { [ <\nThought 31: > ; stack: { [\nThought 32: ) ; stack: {\nThought 33: > ; stack: empty\nThought 34: ( ; stack: (\nThought 35: ( ; stack: ( (\nThought 36: ( ; stack: ( ( (\nThought 37: ( ; stack: ( ( ( (\nThought 38: < ; stack: ( ( ( ( <\nThought 39: [ ; stack: ( ( ( ( < [\nThought 40: [ ; stack: ( ( ( ( < [ [\nThought 41: { ; stack: ( ( ( ( < [ [ {\nThought 42: } ; stack: ( ( ( ( < [ [\nThought 43: ] ; stack: ( ( ( ( < [\nThought 44: ] ; stack: ( ( ( ( <\nThought 45: ) ; stack: ( ( (\nThought 46: ) ; stack: ( (\nThought 47: ) ; stack: (\nThought 48: ) ; stack: empty\nThought 49: ] ; stack: [\nThought 50: ] ; stack: empty\nThought 51: > ; stack: empty\nThought 52: Now, we have reached the end. The final stack is empty.\nThought 53: So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:021", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( ( { } ) ) { { ( ( { { < { [ ] } > } } < { { } } { } { [ ] } > { ( < { ( [ < { < > } > ] ) } > ) } { [ [ < < > > ] ] } < > [ ( < { } > ) ] [ < [ < [ [ < > ] ] < { [ ] } > > ] > ] ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: ( ; stack: { ( (\nThought 6: { ; stack: { ( ( {\nThought 7: } ; stack: { ( (\nThought 8: ) ; stack: { (\nThought 9: ) ; stack: {\nThought 10: { ; stack: { {\nThought 11: ( ; stack: { { (\nThought 12: ( ; stack: { { ( (\nThought 13: { ; stack: { { ( ( {\nThought 14: { ; stack: { { ( ( { {\nThought 15: < ; stack: { { ( ( { { <\nThought 16: { ; stack: { { ( ( { { < {\nThought 17: [ ; stack: { { ( ( { { < { [\nThought 18: ] ; stack: { { ( ( { { < {\nThought 19: } ; stack: { { ( ( { { <\nThought 20: } ; stack: { { ( ( {\nThought 21: < ; stack: { { ( ( { <\nThought 22: { ; stack: { { ( ( { < {\nThought 23: { ; stack: { { ( ( { < { {\nThought 24: } ; stack: { { ( ( { < {\nThought 25: } ; stack: { { ( ( {\nThought 26: { ; stack: { { ( (\nThought 27: ( ; stack: { { ( ( (\nThought 28: < ; stack: { { ( ( ( <\nThought 29: { ; stack: { { ( ( ( < {\nThought 30: ( ; stack: { { ( ( ( < { (\nThought 31: < ; stack: { { ( ( ( < { ( <\nThought 32: { ; stack: { { ( ( ( < { ( < {\nThought 33: < ; stack: { { ( ( ( < { ( < { <\nThought 34: > ; stack: { { ( ( ( < { ( < {\nThought 35: ] ; stack: { { ( ( ( < { ( <\nThought 36: ) ; stack: { { ( ( ( < {\nThought 37: ) ; stack: { { ( (\nThought 38: } ; stack: { { (\nThought 39: { ; stack: { {\nThought 40: [ ; stack: { { [\nThought 41: [ ; stack: { { [ [\nThought 42: < ; stack: { { [ [ <\nThought 43: > ; stack: { { [ [\nThought 44: ] ; stack: { { [\nThought 45: ] ; stack: { {\nThought 46: < ; stack: { <\nThought 47: > ; stack: empty\nThought 48: [ ; stack: [\nThought 49: ( ; stack: [ (\nThought 50: < ; stack: [ ( <\nThought 51: { ; stack: [ ( < {\nThought 52: } ; stack: [ ( <\nThought 53: ] ; stack: [ (\nThought 54: ) ; stack: [\nThought 55: ] ; stack: empty\nThought 56: [ ; stack: [\nThought 57: [ ; stack: [ [\nThought 58: [ ; stack: [ [ [\nThought 59: < ; stack: [ [ [ <\nThought 60: > ; stack: [ [ [\nThought 61: ] ; stack: [ [\nThought 62: ] ; stack: [\nThought 63: ] ; stack: empty\nThought 64: ) ; stack: empty\nThought 65: ) ; stack: empty\nThought 66: So the answer is ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:024", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ [ ( { } ) ] [ { } { < { ( < > ) } > < > < > } ] [ [ { < < ( { ( ) } { } { [ [ ] ( { } ) ( { < [ ] < > > [ ] } ) ] } ) > > } { < > ( { [ { [ ( [ { } ] ) ] } ] } { } ) }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: [ ; stack: [ [\nThought 5: ( ; stack: [ [ (\nThought 6: { ; stack: [ [ ( {\nThought 7: } ; stack: [ [ (\nThought 8: ) ; stack: [ [\nThought 9: ] ; stack: [\nThought 10: [ ; stack: [\nThought 11: { ; stack: [ {\nThought 12: } ; stack: [\nThought 13: { ; stack: [ {\nThought 14: < ; stack: [ { <\nThought 15: { ; stack: [ { < {\nThought 16: ( ; stack: [ { < { (\nThought 17: < ; stack: [ { < { ( <\nThought 18: > ; stack: [ { < { (\nThought 19: ) ; stack: [ { < {\nThought 20: } ; stack: [ { <\nThought 21: > ; stack: [ {\nThought 22: < ; stack: [ { <\nThought 23: > ; stack: [ {\nThought 24: } ; stack: [\nThought 25: [ ; stack: [\nThought 26: [ ; stack: [ [\nThought 27: { ; stack: [ [ {\nThought 28: < ; stack: [ [ { <\nThought 29: < ; stack: [ [ { < <\nThought 30: ( ; stack: [ [ { < < (\nThought 31: { ; stack: [ [ { < < ( {\nThought 32: ( ; stack: [ [ { < < ( { (\nThought 33: ) ; stack: [ [ { < < ( {\nThought 34: } ; stack: [ [ { < < (\nThought 35: { ; stack: [ [ { < <\nThought 36: { ; stack: [ [ { <\nThought 37: { ; stack: [ [ {\nThought 38: [ ; stack: [ [ { [\nThought 39: [ ; stack: [ [ { [ [\nThought 40: ( ; stack: [ [ { [ [ (\nThought 41: [ ; stack: [ [ { [ [ ( [\nThought 42: { ; stack: [ [ { [ [ ( [ {\nThought 43: } ; stack: [ [ { [ [ ( [\nThought 44: ] ; stack: [ [ { [ [\nThought 45: ] ; stack: [ [ { [\nThought 46: } ; stack: [ [ {\nThought 47: { ; stack: [ {\nThought 48: < ; stack: [ { <\nThought 49: > ; stack: [ {\nThought 50: ( ; stack: [ { (\nThought 51: { ; stack: [ { ( {\nThought 52: [ ; stack: [ { ( { [\nThought 53: { ; stack: [ { ( { [ {\nThought 54: } ; stack: [ { ( { [\nThought 55: ] ; stack: [ { ( {\nThought 56: } ; stack: [ { (\nThought 57: ) ; stack: [ {\nThought 58: } ; stack: [\nThought 59: Now, we have reached the end. The final stack is \"[ {\".\nThought 60: We will need to pop out \"{\", \"[\" one by one in that order.\nThought 61: So, we need \"}\", \"]\". So the answer is } ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:038", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { [ { [ { [ { [ < ( ( ) ) < > < > > [ [ { < { < { < [ ] > } < > > } > } ( [ { ( ( ) ) } ] ) ] ] ] [ ( [ < [ [ { ( ) } ] ] > ] ) ] } ] } ] }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: [ ; stack: { [\nThought 5: { ; stack: { [ {\nThought 6: [ ; stack: { [ { [\nThought 7: { ; stack: { [ { [ {\nThought 8: [ ; stack: { [ { [ { [\nThought 9: < ; stack: { [ { [ { [ <\nThought 10: ( ; stack: { [ { [ { [ < (\nThought 11: ( ; stack: { [ { [ { [ < ( (\nThought 12: ) ; stack: { [ { [ { [ < (\nThought 13: ) ; stack: { [ { [ { [ <\nThought 14: < ; stack: { [ { [ { [ < <\nThought 15: > ; stack: { [ { [ { [ <\nThought 16: > ; stack: { [ { [ { [\nThought 17: > ; stack: { [ { [ {\nThought 18: > ; stack: { [ { [\nThought 19: [ ; stack: { [ { [ [\nThought 20: [ ; stack: { [ { [ [ [\nThought 21: { ; stack: { [ { [ [ [ {\nThought 22: < ; stack: { [ { [ [ [ { <\nThought 23: < ; stack: { [ { [ [ [ { < <\nThought 24: < ; stack: { [ { [ [ [ { < < <\nThought 25: < ; stack: { [ { [ [ [ { < < < <\nThought 26: ] ; stack: { [ { [ [ [ { < < <\nThought 27: ] ; stack: { [ { [ [ [ { < <\nThought 28: > ; stack: { [ { [ [ [ { <\nThought 29: > ; stack: { [ { [ [ [ {\nThought 30: } ; stack: { [ { [ [ [\nThought 31: > ; stack: { [ { [ [\nThought 32: } ; stack: { [ { [\nThought 33: > ; stack: { [ {\nThought 34: } ; stack: { [\nThought 35: } ; stack: {\nThought 36: Now, we have reached the end. The final stack is \"{\".\nThought 37: We will need to pop out \"}\" one by one in that order.\nThought 38: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:040", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { [ < [ { < { < ( [ { [ { } ] } ] [ [ ] ] ) > } > } [ ] ( < ( ) > ) ] [ { [ ] } ] < ( < { < > } > ) > ( ) > ] } { }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: [ ; stack: < { [\nThought 6: [ ; stack: < { [ [\nThought 7: { ; stack: < { [ [ {\nThought 8: { ; stack: < { [ [ { {\nThought 9: < ; stack: < { [ [ { { <\nThought 10: ( ; stack: < { [ [ { { < (\nThought 11: [ ; stack: < { [ [ { { < ( [\nThought 12: { ; stack: < { [ [ { { < ( [ {\nThought 13: { ; stack: < { [ [ { { < ( [ { {\nThought 14: } ; stack: < { [ [ { { < ( [ {\nThought 15: } ; stack: < { [ [ { { < ( [\nThought 16: ] ; stack: < { [ [ { { < (\nThought 17: ] ; stack: < { [ [ { {\nThought 18: ) ; stack: < { [ [ {\nThought 19: > ; stack: < { [ [\nThought 20: } ; stack: < { [\nThought 21: > ; stack: < {\nThought 22: } ; stack: empty\nThought 23: [ ; stack: [\nThought 24: ] ; stack: empty\nThought 25: ( ; stack: (\nThought 26: < ; stack: ( <\nThought 27: ( ; stack: ( < (\nThought 28: ) ; stack: ( <\nThought 29: ) ; stack: empty\nThought 30: ] ; stack: [\nThought 31: [ ; stack: [ [\nThought 32: { ; stack: [ [ {\nThought 33: ] ; stack: [ [\nThought 34: } ; stack: [\nThought 35: < ; stack: <\nThought 36: ( ; stack: < (\nThought 37: < ; stack: < ( <\nThought 38: { ; stack: < ( < {\nThought 39: < ; stack: < ( < { <\nThought 40: > ; stack: < ( < {\nThought 41: } ; stack: < ( <\nThought 42: > ; stack: < (\nThought 43: ) ; stack: <\nThought 44: > ; stack: empty\nThought 45: ] ; stack: ]\nThought 46: } ; stack: empty\nThought 47: { ; stack: empty\nThought 48: Now, we have reached the end. The final stack is empty.\nThought 49: We will need to pop out all the elements in the stack.\nThought 50: So, we need nothing. So the answer is\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:042", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ [ ( ) ] < { { ( < < { ( { ( [ ] ) < < < < < > > > > > } ) } < [ < [ ] > ] > > > ) } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: [ ; stack: [ [\nThought 5: ( ; stack: [ [ (\nThought 6: ) ; stack: [ [\nThought 7: ] ; stack: [\nThought 8: < ; stack: <\nThought 9: { ; stack: < {\nThought 10: { ; stack: < { {\nThought 11: ( ; stack: < { { (\nThought 12: < ; stack: < { { ( <\nThought 13: { ; stack: < { { ( < {\nThought 14: ( ; stack: < { { ( < { (\nThought 15: { ; stack: < { { ( < { ( {\nThought 16: ( ; stack: < { { ( < { ( { (\nThought 17: [ ; stack: < { { ( < { ( { ( [\nThought 18: ] ; stack: < { { ( < { ( { (\nThought 19: ) ; stack: < { { ( < { ( {\nThought 20: < ; stack: < { { ( < {\nThought 21: < ; stack: < { { ( <\nThought 22: < ; stack: < { {\nThought 23: [ ; stack: < { { [\nThought 24: [ ; stack: < { { [ [\nThought 25: ] ; stack: < { { [\nThought 26: ] ; stack: < { {\nThought 27: > ; stack: < {\nThought 28: > ; stack: <\nThought 29: ) ; stack: empty\nThought 30: } ; stack: empty\nThought 31: } ; stack: empty\nThought 32: Now, we have reached the end. The final stack is empty.\nThought 33: So the answer is > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:043", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < { } ( ) < ( [ ( < [ ] ( ) > ) ] ) [ ( < > ) ] [ ( { < < [ ( ) ] > > } ) ] [ < { [ ] < > } > ] [ < > ] > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: { ; stack: < < {\nThought 6: } ; stack: empty\nThought 7: ( ; stack: (\nThought 8: ) ; stack: empty\nThought 9: < ; stack: <\nThought 10: ( ; stack: < (\nThought 11: [ ; stack: < ( [\nThought 12: ( ; stack: < ( [ (\nThought 13: < ; stack: < ( [ ( <\nThought 14: [ ; stack: < ( [ ( < [\nThought 15: ] ; stack: < ( [ ( <\nThought 16: ( ; stack: < ( [ (\nThought 17: ) ; stack: < ( [\nThought 18: ) ; stack: < (\nThought 19: ] ; stack: <\nThought 20: [ ; stack: [\nThought 21: ( ; stack: [ (\nThought 22: < ; stack: [ ( <\nThought 23: > ; stack: [ (\nThought 24: ) ; stack: [\nThought 25: ] ; stack: empty\nThought 26: [ ; stack: [\nThought 27: ( ; stack: [ (\nThought 28: { ; stack: [ ( {\nThought 29: < ; stack: [ ( { <\nThought 30: < ; stack: [ ( { < <\nThought 31: [ ; stack: [ ( { < < [\nThought 32: ( ; stack: [ ( { < < [ (\nThought 33: ) ; stack: [ ( { < < [\nThought 34: ] ; stack: [ ( { < <\nThought 35: > ; stack: [ ( {\nThought 36: ) ; stack: [ (\nThought 37: ] ; stack: [\nThought 38: ] ; stack: empty\nThought 39: [ ; stack: [\nThought 40: < ; stack: [ <\nThought 41: { ; stack: [ < {\nThought 42: [ ; stack: [ < { [\nThought 43: ] ; stack: [ < {\nThought 44: < ; stack: [ < { <\nThought 45: > ; stack: [ < {\nThought 46: } ; stack: [ <\nThought 47: ] ; stack: empty\nThought 48: [ ; stack: [\nThought 49: < ; stack: [ <\nThought 50: > ; stack: empty\nThought 51: ] ; stack: [\nThought 52: > ; stack: empty\nThought 53: > ; stack: empty\nThought 54: Now, we have reached the end. The final stack is \"[ <\".\nThought 55: We will need to pop out \"[\", \"<\" one by one in that order.\nThought 56: So, we need \"]\", \">\". So the answer is ] >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:044", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { < { ( ) [ { } ] } [ < ( [ ] ) > ] > } (\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: < ; stack: { <\nThought 5: { ; stack: { < {\nThought 6: ( ; stack: { < { (\nThought 7: ) ; stack: { < {\nThought 8: [ ; stack: { < { [\nThought 9: { ; stack: { < { [ {\nThought 10: } ; stack: { < { [\nThought 11: ] ; stack: { < {\nThought 12: } ; stack: { <\nThought 13: [ ; stack: { < [\nThought 14: < ; stack: { < [ <\nThought 15: ( ; stack: { < [ < (\nThought 16: [ ; stack: { < [ < ( [\nThought 17: ] ; stack: { < [ < (\nThought 18: ) ; stack: { < [ <\nThought 19: > ; stack: { < [\nThought 20: ] ; stack: { <\nThought 21: > ; stack: {\nThought 22: } ; stack: empty\nThought 23: ( ; stack: (\nThought 24: Now, we have reached the end. The final stack is \"(\".\nThought 25: We will need to pop out \"(\" one by one in that order.\nThought 26: So, we need \")\". So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:046", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < { < ( [ ] ) > ( ) } > [ ] ( [ ( ) ] < { } [ < > { } ] ( [ < > ] ) > ( ( < > ) ( ) ( [ ] ) ) ( ( [ [ < < > > ] ] ) ) ) > < [ ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: { ; stack: < < {\nThought 6: < ; stack: < < { <\nThought 7: ( ; stack: < < { < (\nThought 8: [ ; stack: < < { < ( [\nThought 9: ] ; stack: < < { < (\nThought 10: ) ; stack: < < { <\nThought 11: > ; stack: < < {\nThought 12: ( ; stack: < < { (\nThought 13: ) ; stack: < < {\nThought 14: } ; stack: < <\nThought 15: > ; stack: <\nThought 16: [ ; stack: < [\nThought 17: ] ; stack: empty\nThought 18: ( ; stack: (\nThought 19: [ ; stack: ( [\nThought 20: ( ; stack: ( [ (\nThought 21: ) ; stack: ( [\nThought 22: ] ; stack: (\nThought 23: < ; stack: ( <\nThought 24: { ; stack: ( < {\nThought 25: } ; stack: ( <\nThought 26: [ ; stack: ( < [\nThought 27: < ; stack: ( < [ <\nThought 28: > ; stack: ( < [\nThought 29: { ; stack: ( < [ {\nThought 30: } ; stack: ( < [\nThought 31: ] ; stack: ( <\nThought 32: ) ; stack: (\nThought 33: > ; stack: empty\nThought 34: ( ; stack: (\nThought 35: ( ; stack: ( (\nThought 36: < ; stack: ( ( <\nThought 37: > ; stack: ( (\nThought 38: ) ; stack: (\nThought 39: ( ; stack: (\nThought 40: ) ; stack: empty\nThought 41: ( ; stack: (\nThought 42: [ ; stack: ( [\nThought 43: [ ; stack: ( [ [\nThought 44: < ; stack: ( [ [ <\nThought 45: > ; stack: ( [ [\nThought 46: ] ; stack: ( [\nThought 47: ] ; stack: (\nThought 48: ) ; stack: empty\nThought 49: > ; stack: empty\nThought 50: < ; stack: <\nThought 51: [ ; stack: < [\nThought 52: ] ; stack: empty\nThought 53: Now, we have reached the end. The final stack is \"< [ ]\".\nThought 54: We will need to pop out \"[\" and \"<\" one by one in that order.\nThought 55: So, we need \"]\" and \">\". So the answer is ] >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:050", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( [ < < { ( [ < > ] [ ( ) ] [ { [ ] < { { { { < > } ( ( { ( < ( ) > ) } ) ( ) ) < ( { } ) > { < { } { } { { { } } } ( ) > } < [ < < > > ] > } } } > } ] ) } > < ( ) > > < < ( ) > > ] ) { [\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: [ ; stack: ( [\nThought 5: < ; stack: ( [ <\nThought 6: < ; stack: ( [ < <\nThought 7: { ; stack: ( [ < < {\nThought 8: ( ; stack: ( [ < < { (\nThought 9: [ ; stack: ( [ < < { ( [\nThought 10: < ; stack: ( [ < < { ( [ <\nThought 11: > ; stack: ( [ < < { ( [\nThought 12: ] ; stack: ( [ < < { (\nThought 13: [ ; stack: ( [ < < { [\nThought 14: ( ; stack: ( [ < < { [ (\nThought 15: ) ; stack: ( [ < < { [\nThought 16: ] ; stack: ( [ < < {\nThought 17: < ; stack: ( [ < < { <\nThought 18: { ; stack: ( [ < < { < {\nThought 19: { ; stack: ( [ < < { < { {\nThought 20: { ; stack: ( [ < < { < { { {\nThought 21: < ; stack: ( [ < < { < { { { <\nThought 22: > ; stack: ( [ < < { < { { {\nThought 23: } ; stack: ( [ < < { < { {\nThought 24: } ; stack: ( [ < < { < {\nThought 25: } ; stack: ( [ < < { <\nThought 26: } ; stack: ( [ < < {\nThought 27: ] ; stack: ( [ < <\nThought 28: ) ; stack: ( [ <\nThought 29: } ; stack: ( [\nThought 30: > ; stack: (\nThought 31: < ; stack: <\nThought 32: ( ; stack: < (\nThought 33: ) ; stack: <\nThought 34: > ; stack: < >\nThought 35: < ; stack: < <\nThought 36: ( ; stack: < < (\nThought 37: ) ; stack: < <\nThought 38: > ; stack: < < >\nThought 39: ] ; stack: < <\nThought 40: ) ; stack: <\nThought 41: { ; stack: {\nThought 42: [ ; stack: { [\nThought 43: Now, we have reached the end. The final stack is \"{ [ \".\nThought 44: We will need to pop out \"[\" and \"{\" one by one in that order.\nThought 45: So, we need \"]\" and \"}\". So the answer is ] }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:055", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { < [ ] > { < < [ [ < > [ ] ] ] > > < [ [ [ ( [ ( ) < { } > ] ) ] { { < > } } ] ] > } [ ] ( ) } < { { { { } } } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: < ; stack: { <\nThought 5: [ ; stack: { < [\nThought 6: ] ; stack: { <\nThought 7: > ; stack: {\nThought 8: { ; stack: { {\nThought 9: < ; stack: { { <\nThought 10: < ; stack: { { < <\nThought 11: [ ; stack: { { < < [\nThought 12: [ ; stack: { { < < [ [\nThought 13: < ; stack: { { < < [ [ <\nThought 14: > ; stack: { { < < [ [\nThought 15: ] ; stack: { { < < [\nThought 16: ] ; stack: { { < <\nThought 17: > ; stack: { { <\nThought 18: > ; stack: { {\nThought 19: < ; stack: { { <\nThought 20: [ ; stack: { { < [\nThought 21: [ ; stack: { { < [ [\nThought 22: [ ; stack: { { < [ [ [\nThought 23: ( ; stack: { { < [ [ [ (\nThought 24: [ ; stack: { { < [ [ [ ( [\nThought 25: ( ; stack: { { < [ [ [ ( [ (\nThought 26: ) ; stack: { { < [ [ [ ( [\nThought 27: < ; stack: { { < [ [ [ ( <\nThought 28: { ; stack: { { < [ [ [ ( < {\nThought 29: } ; stack: { { < [ [ [ ( <\nThought 30: > ; stack: { { < [ [ [ (\nThought 31: ] ; stack: { { < [ [ [\nThought 32: ] ; stack: { { < [ [\nThought 33: ] ; stack: { { < [\nThought 34: > ; stack: { { <\nThought 35: } ; stack: { {\nThought 36: [ ; stack: { [\nThought 37: ] ; stack: {\nThought 38: ( ; stack: { (\nThought 39: ) ; stack: {\nThought 40: } ; stack: empty\nThought 41: < ; stack: <\nThought 42: { ; stack: < {\nThought 43: { ; stack: < { {\nThought 44: { ; stack: < { { {\nThought 45: { ; stack: < { { { {\nThought 46: { ; stack: < { { { { {\nThought 47: } ; stack: < { { { {\nThought 48: } ; stack: < { { {\nThought 49: } ; stack: < { {\nThought 50: } ; stack: < {\nThought 51: } ; stack: <\nThought 52: Now, we have reached the end. The final stack is \"<\".\nThought 53: We will need to pop out \"<\". So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:057", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ) ( ) ( ) { { } [ [ { { { } } } ] ] } < { ( < < > > ) } ( ( [ ( { } ) ] ) { [ ] } ) < < [ ] > { [ ] }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ) ; stack: empty\nThought 5: ( ; stack: (\nThought 6: ) ; stack: empty\nThought 7: ( ; stack: (\nThought 8: ) ; stack: empty\nThought 9: { ; stack: {\nThought 10: { ; stack: { {\nThought 11: } ; stack: {\nThought 12: [ ; stack: { [\nThought 13: [ ; stack: { [ [\nThought 14: { ; stack: { [ [ {\nThought 15: { ; stack: { [ [ { {\nThought 16: } ; stack: { [ [ {\nThought 17: } ; stack: { [ [\nThought 18: } ; stack: { [\nThought 19: } ; stack: {\nThought 20: < ; stack: <\nThought 21: { ; stack: < {\nThought 22: ( ; stack: < { (\nThought 23: < ; stack: < { ( <\nThought 24: < ; stack: < { ( < <\nThought 25: > ; stack: < { ( <\nThought 26: > ; stack: < { (\nThought 27: } ; stack: < {\nThought 28: ) ; stack: <\nThought 29: ( ; stack: (\nThought 30: ( ; stack: ( (\nThought 31: [ ; stack: ( ( [\nThought 32: ( ; stack: ( ( [ (\nThought 33: { ; stack: ( ( [ ( {\nThought 34: } ; stack: ( ( [ (\nThought 35: ) ; stack: ( ( [\nThought 36: ] ; stack: ( (\nThought 37: ) ; stack: (\nThought 38: { ; stack: ( {\nThought 39: [ ; stack: ( { [\nThought 40: ] ; stack: ( {\nThought 41: } ; stack: (\nThought 42: ) ; stack: empty\nThought 43: < ; stack: <\nThought 44: < ; stack: < <\nThought 45: [ ; stack: < < [\nThought 46: ] ; stack: < <\nThought 47: > ; stack: <\nThought 48: { ; stack: < {\nThought 49: [ ; stack: < { [\nThought 50: ] ; stack: < {\nThought 51: } ; stack: <\nThought 52: Now, we have reached the end. The final stack is \"< {\".\nThought 53: We will need to pop out \"{\", \"<\" one by one in that order.\nThought 54: So, we need \"}\", \">\". So the answer is } >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:058", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { ( < > ) [ ] { < [ [ ( { } ) < ( { } ) > < [ ] > ] ] > [ { ( < < [ { ( [ [ ] ] ) } ( ) ] < < > > > > ) } ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: ( ; stack: < { (\nThought 6: < ; stack: < { ( <\nThought 7: > ; stack: < { (\nThought 8: ) ; stack: < {\nThought 9: [ ; stack: < { [\nThought 10: ] ; stack: < {\nThought 11: { ; stack: < { {\nThought 12: < ; stack: < { { <\nThought 13: [ ; stack: < { { < [\nThought 14: [ ; stack: < { { < [ [\nThought 15: ( ; stack: < { { < [ [ (\nThought 16: { ; stack: < { { < [ [ ( {\nThought 17: } ; stack: < { { < [ [ (\nThought 18: ) ; stack: < { { < [ [\nThought 19: < ; stack: < { { < [\nThought 20: ( ; stack: < { { <\nThought 21: { ; stack: < { {\nThought 22: ) ; stack: < {\nThought 23: > ; stack: <\nThought 24: [ ; stack: < [\nThought 25: { ; stack: < [ {\nThought 26: ( ; stack: < [ { (\nThought 27: < ; stack: < [ { ( <\nThought 28: < ; stack: < [ { ( < <\nThought 29: [ ; stack: < [ { ( < < [\nThought 30: { ; stack: < [ { ( < < [ {\nThought 31: ( ; stack: < [ { ( < < [ { (\nThought 32: [ ; stack: < [ { ( < < [ { ( [\nThought 33: ] ; stack: < [ { ( < < [ { (\nThought 34: ) ; stack: < [ { ( < < [ {\nThought 35: } ; stack: < [ { ( < < [\nThought 36: ) ; stack: < [ { ( <\nThought 37: > ; stack: < [ { (\nThought 38: > ; stack: < [ {\nThought 39: ) ; stack: < [\nThought 40: } ; stack: <\nThought 41: ] ; stack: empty\nThought 42: Now, we have reached the end. The final stack is empty.\nThought 43: So the answer is > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:060", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { { ( ) } } < ( ) ( ( { < > } ) ) > < {\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: { ; stack: { {\nThought 5: ( ; stack: { { (\nThought 6: ) ; stack: { {\nThought 7: } ; stack: {\nThought 8: } ; stack: empty\nThought 9: < ; stack: <\nThought 10: ( ; stack: < (\nThought 11: ) ; stack: <\nThought 12: ( ; stack: < (\nThought 13: ( ; stack: < ( (\nThought 14: { ; stack: < ( ( {\nThought 15: < ; stack: < ( ( { <\nThought 16: > ; stack: < ( ( {\nThought 17: } ; stack: < ( (\nThought 18: ) ; stack: < (\nThought 19: ) ; stack: <\nThought 20: > ; stack: empty\nThought 21: < ; stack: <\nThought 22: { ; stack: < {\nThought 23: Now, we have reached the end. The final stack is \"< {\".\nThought 24: We will need to pop out \"{\", \"<\" one by one in that order.\nThought 25: So, we need \"}\", \">\". So the answer is } >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:062", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( [ [ ( ( [ < > < < > < { } ( { < { } > ( ( ) ) } ) > > ] ) ) { [ < < [ ] > > ] [ ( < > ( < > < ( [ ] ) > ) ) < < > > [ { } ] ] [ [ ] ] ( { { } } ) < [ ] { ( ) } > } < < ( ) > > ( ) ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: [ ; stack: ( [\nThought 5: [ ; stack: ( [ [\nThought 6: ( ; stack: ( [ [ (\nThought 7: ( ; stack: ( [ [ ( (\nThought 8: [ ; stack: ( [ [ ( ( [\nThought 9: < ; stack: ( [ [ ( ( [ <\nThought 10: > ; stack: ( [ [ ( ( [ < >\nThought 11: < ; stack: ( [ [ ( ( [ < > <\nThought 12: < ; stack: ( [ [ ( ( [ < > < <\nThought 13: { ; stack: ( [ [ ( ( [ < > < < {\nThought 14: } ; stack: ( [ [ ( ( [ < > < <\nThought 15: ( ; stack: ( [ [ ( ( [ < > < < { (\nThought 16: { ; stack: ( [ [ ( ( [ < > < < { {\nThought 17: < ; stack: ( [ [ ( ( [ < > < < { { <\nThought 18: { ; stack: ( [ [ ( ( [ < > < < { { < {\nThought 19: > ; stack: ( [ [ ( ( [ < > < < { { <\nThought 20: ) ; stack: ( [ [ ( ( [ < > < < { {\nThought 21: ) ; stack: ( [ [ ( ( [ < > < < {\nThought 22: > ; stack: ( [ [ ( ( [ < > < <\nThought 23: > ; stack: ( [ [ ( ( [ < > <\nThought 24: ] ; stack: ( [ [ ( ( [ < >\nThought 25: ) ; stack: ( [ [ ( ( [\nThought 26: ) ; stack: ( [ [ (\nThought 27: { ; stack: ( [ [ {\nThought 28: [ ; stack: ( [ [ { [\nThought 29: < ; stack: ( [ [ { [ <\nThought 30: < ; stack: ( [ [ { [ < <\nThought 31: ] ; stack: ( [ [ { [ < < ]\nThought 32: ] ; stack: ( [ [ { [ <\nThought 33: ] ; stack: ( [ [ {\nThought 34: [ ; stack: ( [ [ [\nThought 35: ( ; stack: ( [ [ [ (\nThought 36: < ; stack: ( [ [ [ ( <\nThought 37: > ; stack: ( [ [ [ ( < >\nThought 38: ( ; stack: ( [ [ [ ( < > (\nThought 39: < ; stack: ( [ [ [ ( < > ( <\nThought 40: > ; stack: ( [ [ [ ( < > ( < >\nThought 41: ) ; stack: ( [ [ [ ( < > (\nThought 42: ) ; stack: ( [ [ [ ( <\nThought 43: > ; stack: ( [ [ [ (\nThought 44: > ; stack: ( [ [ [\nThought 45: [ ; stack: ( [ [\nThought 46: ] ; stack: ( [\nThought 47: ] ; stack: empty\nThought 48: Now, we have reached the end. The final stack is empty.\nThought 49: We will need to pop out all the elements in the stack.\nThought 50: So, we need nothing. So the answer is\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:064", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < ( [ { } < < ( ) > > [ < { } > [ < < [ ] > > ] [ ( { } ) ] ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: ( ; stack: < (\nThought 5: [ ; stack: < ( [\nThought 6: { ; stack: < ( [ {\nThought 7: } ; stack: < ( [\nThought 8: < ; stack: < ( [ <\nThought 9: < ; stack: < ( [ < <\nThought 10: ( ; stack: < ( [ < < (\nThought 11: ) ; stack: < ( [ < <\nThought 12: > ; stack: < ( [ <\nThought 13: > ; stack: < ( [\nThought 14: [ ; stack: < ( [ [\nThought 15: < ; stack: < ( [ [ <\nThought 16: { ; stack: < ( [ [ < {\nThought 17: } ; stack: < ( [ [ <\nThought 18: > ; stack: < ( [ [\nThought 19: [ ; stack: < ( [ [ [\nThought 20: < ; stack: < ( [ [ [ <\nThought 21: < ; stack: < ( [ [ [ < <\nThought 22: [ ; stack: < ( [ [ [ < < [\nThought 23: ] ; stack: < ( [ [ [ < <\nThought 24: > ; stack: < ( [ [ [ <\nThought 25: > ; stack: < ( [ [ [\nThought 26: ] ; stack: < ( [ [\nThought 27: [ ; stack: < ( [\nThought 28: [ ; stack: < ( [ [\nThought 29: ( ; stack: < ( [ [ (\nThought 30: { ; stack: < ( [ [ ( {\nThought 31: } ; stack: < ( [ [ (\nThought 32: ) ; stack: < ( [ [\nThought 33: ] ; stack: < ( [\nThought 34: ] ; stack: < (\nThought 35: ] ; stack: empty\nThought 36: Now, we have reached the end. The final stack is empty.\nThought 37: So the answer is > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ] > > ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:065", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { } < ( ) > < [ ] > { { { < ( < < [ [ [ ( ( [ [ ( { } ) ] ] ) ) ] ] ] > > ) > } } ( ( ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: } ; stack: empty\nThought 5: < ; stack: <\nThought 6: ( ; stack: < (\nThought 7: ) ; stack: <\nThought 8: > ; stack: empty\nThought 9: < ; stack: <\nThought 10: [ ; stack: < [\nThought 11: ] ; stack: empty\nThought 12: > ; stack: <\nThought 13: { ; stack: { <\nThought 14: { ; stack: { { <\nThought 15: { ; stack: { { { <\nThought 16: < ; stack: { { { < <\nThought 17: ( ; stack: { { { < < (\nThought 18: < ; stack: { { { < < ( <\nThought 19: [ ; stack: { { { < < ( < [\nThought 20: [ ; stack: { { { < < ( < [ [\nThought 21: [ ; stack: { { { < < ( < [ [ [\nThought 22: ( ; stack: { { { < < ( < [ [ [ (\nThought 23: ( ; stack: { { { < < ( < [ [ [ ( (\nThought 24: [ ; stack: { { { < < ( < [ [ [ ( ( [\nThought 25: [ ; stack: { { { < < ( < [ [ [ ( ( [ [\nThought 26: ( ; stack: { { { < < ( < [ [ [ ( ( [ [ (\nThought 27: { ; stack: { { { < < ( < [ [ [ ( ( [ [ ( {\nThought 28: } ; stack: { { { < < ( < [ [ [ ( ( [ [ (\nThought 29: ) ; stack: { { { < < ( < [ [ [ ( ( [ [\nThought 30: ) ; stack: { { { < < ( < [ [ [ ( ( [\nThought 31: ] ; stack: { { { < < ( < [ [ [ ( (\nThought 32: ] ; stack: { { { < < ( < [ [ [ (\nThought 33: ] ; stack: { { { < < ( < [ [ [\nThought 34: ] ; stack: { { { < < ( < [ [\nThought 35: ] ; stack: { { { < < ( < [\nThought 36: ] ; stack: { { { < < ( <\nThought 37: > ; stack: { { { < <\nThought 38: ) ; stack: { { { <\nThought 39: ) ; stack: { { {\nThought 40: Now, we have reached the end. The final stack is \"{{{\".\nThought 41: We will need to pop out \"}}\" one by one in that order.\nThought 42: So, we need \"}}\". So the answer is }}}\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:066", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ] [ < [ [ < < [ [ ] ] > > ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ] ; stack: empty\nThought 5: [ ; stack: [\nThought 6: < ; stack: [ <\nThought 7: [ ; stack: [ < [\nThought 8: [ ; stack: [ < [ [\nThought 9: < ; stack: [ < [ [ <\nThought 10: < ; stack: [ < [ [ < <\nThought 11: [ ; stack: [ < [ [ < < [\nThought 12: [ ; stack: [ < [ [ < < [ [\nThought 13: ] ; stack: [ < [ [ < < [\nThought 14: ] ; stack: [ < [ [ <\nThought 15: > ; stack: [ < [ [\nThought 16: > ; stack: [ < [\nThought 17: ] ; stack: [ <\nThought 18: ] ; stack: [\nThought 19: Now, we have reached the end. The final stack is \"[ < [ [ < < [ [ ] ] > > ] ]\".\nThought 20: We will need to pop out \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\", \"]\",\nThought 21: So the answer is ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:072", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( [ ( < { ( { ( ) [ < [ < < > > < { } > [ ] ] > [ < ( < ( ) > ) > ] ] [ { [ ] } ] } ) } > ) ( { [ [ ] ] ( ) [ ( ( < [ ] > ) ) ] { } } )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: [ ; stack: [ ( [\nThought 6: ( ; stack: [ ( [ (\nThought 7: < ; stack: [ ( [ ( <\nThought 8: { ; stack: [ ( [ ( < {\nThought 9: ( ; stack: [ ( [ ( < { (\nThought 10: { ; stack: [ ( [ ( < { ( {\nThought 11: ( ; stack: [ ( [ ( < { ( { (\nThought 12: ) ; stack: [ ( [ ( < { ( {\nThought 13: [ ; stack: [ ( [ ( < { ( { [\nThought 14: < ; stack: [ ( [ ( < { ( { [ <\nThought 15: [ ; stack: [ ( [ ( < { ( { [ < [\nThought 16: < ; stack: [ ( [ ( < { ( { [ < [ <\nThought 17: < ; stack: [ ( [ ( < { ( { [ < [ < <\nThought 18: > ; stack: [ ( [ ( < { ( { [ < [ <\nThought 19: > ; stack: [ ( [ ( < { ( { [ < [\nThought 20: < ; stack: [ ( [ ( < { ( { [ <\nThought 21: { ; stack: [ ( [ ( < { ( {\nThought 22: } ; stack: [ ( [ ( < {\nThought 23: } ; stack: [ ( [ ( <\nThought 24: > ; stack: [ ( [ (\nThought 25: ) ; stack: [ ( [\nThought 26: ( ; stack: [ (\nThought 27: { ; stack: [ ( {\nThought 28: [ ; stack: [ ( { [\nThought 29: [ ; stack: [ ( { [ [\nThought 30: ] ; stack: [ ( { [\nThought 31: ] ; stack: [ ( {\nThought 32: ) ; stack: [ (\nThought 33: [ ; stack: [\nThought 34: ( ; stack: [ (\nThought 35: ( ; stack: [ ( (\nThought 36: < ; stack: [ ( ( <\nThought 37: [ ; stack: [ ( ( < [\nThought 38: ] ; stack: [ ( ( <\nThought 39: > ; stack: [ ( (\nThought 40: ) ; stack: [ (\nThought 41: ] ; stack: [\nThought 42: } ; stack: empty\nThought 43: } ; stack: empty\nThought 44: So the answer is } }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:074", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( ) [ [ ] [ ( { } ) ] [ < [ { { < > } [ { } ] { { ( { { ( [ ] ) } } < ( ( ( { } ) ) ) > ) [ [ ] ] } } } ] > ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: ) ; stack: {\nThought 6: [ ; stack: { [\nThought 7: [ ; stack: { [ [\nThought 8: ] ; stack: { [\nThought 9: [ ; stack: { [ [\nThought 10: ( ; stack: { [ [ (\nThought 11: { ; stack: { [ [ ( {\nThought 12: } ; stack: { [ [ (\nThought 13: ) ; stack: { [ [\nThought 14: [ ; stack: { [ [ [\nThought 15: < ; stack: { [ [ [ <\nThought 16: [ ; stack: { [ [ [ < [\nThought 17: { ; stack: { [ [ [ < [ {\nThought 18: { ; stack: { [ [ [ < [ { {\nThought 19: < ; stack: { [ [ [ < [ { { <\nThought 20: > ; stack: { [ [ [ < [ { {\nThought 21: } ; stack: { [ [ [ < [ {\nThought 22: [ ; stack: { [ [ [ < [\nThought 23: { ; stack: { [ [ [ < [ {\nThought 24: } ; stack: { [ [ [ < [\nThought 25: { ; stack: { [ [ [ <\nThought 26: { ; stack: { [ [ [ {\nThought 27: { ; stack: { [ [ [ { {\nThought 28: ( ; stack: { [ [ [ { { (\nThought 29: { ; stack: { [ [ [ { { ( {\nThought 30: { ; stack: { [ [ [ { { ( { {\nThought 31: ( ; stack: { [ [ [ { { ( { { (\nThought 32: ] ; stack: { [ [ [ { { ( { {\nThought 33: ) ; stack: { [ [ [ { { ( {\nThought 34: } ; stack: { [ [ [ { {\nThought 35: < ; stack: { [ [ [ { { <\nThought 36: ( ; stack: { [ [ [ { { < (\nThought 37: ( ; stack: { [ [ [ { { < ( (\nThought 38: ( ; stack: { [ [ [ { { < ( ( (\nThought 39: { ; stack: { [ [ [ { { < ( ( ( {\nThought 40: } ; stack: { [ [ [ { { < ( ( (\nThought 41: ) ; stack: { [ [ [ { { < (\nThought 42: ) ; stack: { [ [ [ { {\nThought 43: ) ; stack: { [ [ [ {\nThought 44: ] ; stack: { [ [ [\nThought 45: ] ; stack: { [ [\nThought 46: ] ; stack: { [\nThought 47: } ; stack: empty\nThought 48: Now, we have reached the end. The final stack is empty.\nThought 49: So the answer is ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:075", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < ( ( [ < > { [ { ( ) } ] < { < { } > [ ( < > ) ] } > } [ < > ] ] ) { { ( { ( ( [ ( [ ] ) ] < { } > ) ) { { ( [ [ ] ] ) } [ ( ) ] { { [ ] } } } } ) } ( { } ) }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: ( ; stack: < (\nThought 5: ( ; stack: < ( (\nThought 6: [ ; stack: < ( ( [\nThought 7: < ; stack: < ( ( [ <\nThought 8: > ; stack: < ( ( [\nThought 9: { ; stack: < ( ( [ {\nThought 10: [ ; stack: < ( ( [ { [\nThought 11: { ; stack: < ( ( [ { [ {\nThought 12: ( ; stack: < ( ( [ { [ { (\nThought 13: ) ; stack: < ( ( [ { [ {\nThought 14: } ; stack: < ( ( [ { [\nThought 15: ] ; stack: < ( ( [ {\nThought 16: < ; stack: < ( ( [ { <\nThought 17: { ; stack: < ( ( [ { < {\nThought 18: < ; stack: < ( ( [ { < { <\nThought 19: { ; stack: < ( ( [ { < { < {\nThought 20: > ; stack: < ( ( [ { < { <\nThought 21: } ; stack: < ( ( [ { < {\nThought 22: } ; stack: < ( ( [ {\nThought 23: ] ; stack: < ( ( [\nThought 24: ] ; stack: < ( (\nThought 25: ) ; stack: < (\nThought 26: { ; stack: < {\nThought 27: { ; stack: < { {\nThought 28: ( ; stack: < { { (\nThought 29: { ; stack: < { { ( {\nThought 30: ( ; stack: < { { ( { (\nThought 31: ( ; stack: < { { ( { ( (\nThought 32: [ ; stack: < { { ( { ( ( [\nThought 33: [ ; stack: < { { ( { ( ( [ [\nThought 34: ] ; stack: < { { ( { ( ( [\nThought 35: ] ; stack: < { { ( { (\nThought 36: < ; stack: < { { ( {\nThought 37: { ; stack: < { { (\nThought 38: } ; stack: < { {\nThought 39: } ; stack: < {\nThought 40: ) ; stack: empty\nThought 41: Now, we have reached the end. The final stack is empty.\nThought 42: So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:082", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < { < { } > { { ( [ ( { } ) ( ( [ ( [ ( { [ { } ] } ) ] ) ] ) ) [ < [ [ [ [ [ < > ] [ { [ [ { ( ( < [ ] > ) [ ( [ ] ) ] < { [ ] } > ) } ] ] } ] { < ( < > ) > } ] ] ] ] > ] ] ) } } } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: { ; stack: ( < {\nThought 6: < ; stack: ( < { <\nThought 7: { ; stack: ( < { < {\nThought 8: } ; stack: ( < { <\nThought 9: > ; stack: ( < {\nThought 10: { ; stack: ( < { {\nThought 11: { ; stack: ( < { { {\nThought 12: ( ; stack: ( < { { { (\nThought 13: [ ; stack: ( < { { { ( [\nThought 14: ( ; stack: ( < { { { ( [ (\nThought 15: { ; stack: ( < { { { ( [ ( {\nThought 16: } ; stack: ( < { { { ( [ (\nThought 17: ) ; stack: ( < { { { ( [\nThought 18: ( ; stack: ( < { { { ( [ (\nThought 19: [ ; stack: ( < { { { ( [ ( [\nThought 20: ( ; stack: ( < { { { ( [ ( [ (\nThought 21: { ; stack: ( < { { { ( [ ( [ ( {\nThought 22: [ ; stack: ( < { { { ( [ ( [ ( { [\nThought 23: { ; stack: ( < { { { ( [ ( [ ( { [ {\nThought 24: } ; stack: ( < { { { ( [ ( [ ( { [\nThought 25: ] ; stack: ( < { { { ( [ ( [ ( {\nThought 26: ) ; stack: ( < { { { ( [ ( [\nThought 27: ) ; stack: ( < { { { ( [\nThought 28: [ ; stack: ( < { { { [\nThought 29: < ; stack: ( < { { [ <\nThought 30: [ ; stack: ( < { { [ < [\nThought 31: [ ; stack: ( < { { [ < [ [\nThought 32: [ ; stack: ( < { { [ < [ [ [\nThought 33: [ ; stack: ( < { { [ < [ [ [ [\nThought 34: < ; stack: ( < { { [ < [ [ [ [ <\nThought 35: ] ; stack: ( < { { [ < [ [ [\nThought 36: ] ; stack: ( < { { [ < [ [\nThought 37: ] ; stack: ( < { { [ < [\nThought 38: ] ; stack: ( < { { [\nThought 39: ] ; stack: ( < {\nThought 40: ) ; stack: ( <\nThought 41: } ; stack: empty\nThought 42: } ; stack: empty\nThought 43: } ; stack: empty\nThought 44: > ; stack: empty\nThought 45: Now, we have reached the end. The final stack is empty.\nThought 46: So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:083", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { < ( < { < > } > ) > } > { < > } ( ( < < > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: < ; stack: < { <\nThought 6: ( ; stack: < { < (\nThought 7: < ; stack: < { < ( <\nThought 8: { ; stack: < { < ( < {\nThought 9: < ; stack: < { < ( < { <\nThought 10: > ; stack: < { < ( < {\nThought 11: } ; stack: < { < ( <\nThought 12: > ; stack: < { < (\nThought 13: ) ; stack: < { <\nThought 14: > ; stack: < {\nThought 15: } ; stack: <\nThought 16: > ; stack: empty\nThought 17: { ; stack: {\nThought 18: < ; stack: { <\nThought 19: > ; stack: {\nThought 20: } ; stack: empty\nThought 21: ( ; stack: (\nThought 22: ( ; stack: ( (\nThought 23: < ; stack: ( ( <\nThought 24: < ; stack: ( ( < <\nThought 25: > ; stack: ( ( <\nThought 26: > ; stack: ( (\nThought 27: Now, we have reached the end. The final stack is \"( ( \".\nThought 28: We will need to pop out \"(\", \"(\" one by one in that order.\nThought 29: So, we need \")\", \")\". So the answer is ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:084", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { [ ( ) { < < [ ] { } ( ) [ { [ { ( < > ) } < < > > ] } ] ( { [ ] < < ( ( { } ) ) > > } { { [ { { [ < < ( [ ] ) > > ] } } ] } } { } ) > > [ ] } ] } ( < >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: [ ; stack: { [\nThought 5: ( ; stack: { [ (\nThought 6: ) ; stack: { [\nThought 7: { ; stack: { [ {\nThought 8: < ; stack: { [ { <\nThought 9: < ; stack: { [ { < <\nThought 10: [ ; stack: { [ { < < [\nThought 11: ] ; stack: { [ { < <\nThought 12: { ; stack: { [ { < < {\nThought 13: } ; stack: { [ { < <\nThought 14: ( ; stack: { [ { < < (\nThought 15: ) ; stack: { [ { < <\nThought 16: [ ; stack: { [ { < < [\nThought 17: { ; stack: { [ { < < [ {\nThought 18: { ; stack: { [ { < < [ { {\nThought 19: ( ; stack: { [ { < < [ { { (\nThought 20: < ; stack: { [ { < < [ { { ( <\nThought 21: > ; stack: { [ { < < [ { { (\nThought 22: ) ; stack: { [ { < < [ { {\nThought 23: } ; stack: { [ { < < [ {\nThought 24: } ; stack: { [ { < < [\nThought 25: ( ; stack: { [ { < (\nThought 26: { ; stack: { [ { < {\nThought 27: [ ; stack: { [ { < { [\nThought 28: ] ; stack: { [ { < {\nThought 29: < ; stack: { [ { < { <\nThought 30: < ; stack: { [ { < { < <\nThought 31: ( ; stack: { [ { < { < < (\nThought 32: ) ; stack: { [ { < { < <\nThought 33: ) ; stack: { [ { < {\nThought 34: > ; stack: { [ { <\nThought 35: > ; stack: { [ {\nThought 36: [ ; stack: { [ [\nThought 37: ] ; stack: { [\nThought 38: } ; stack: {\nThought 39: } ; stack: empty\nThought 40: ( ; stack: (\nThought 41: < ; stack: ( <\nThought 42: > ; stack: empty\nThought 43: So the answer is > )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:085", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { { } } ( < [ ] [ { } ] > ) ( { { } { { ( ) } } } ) { < { { [ ] } [ ( ) ] } ( < { [ < > ] } > ) < ( [ ] { ( < < [ ] > > ) [ { [ [ ( ( ) ) ] ] } ] } { } ) > ( { { [ [ ( ) ] ] } } )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: { ; stack: < { {\nThought 6: } ; stack: < {\nThought 7: } ; stack: <\nThought 8: ( ; stack: (\nThought 9: < ; stack: ( <\nThought 10: [ ; stack: ( < [\nThought 11: ] ; stack: ( < [ ]\nThought 12: [ ; stack: ( < [ ] [\nThought 13: { ; stack: ( < [ ] [ {\nThought 14: } ; stack: ( < [ ] [\nThought 15: ] ; stack: ( < [ ]\nThought 16: > ; stack: ( <\nThought 17: ) ; stack: empty\nThought 18: ( ; stack: (\nThought 19: { ; stack: ( {\nThought 20: { ; stack: ( { {\nThought 21: } ; stack: ( { {\nThought 22: { ; stack: ( { { {\nThought 23: { ; stack: ( { { { {\nThought 24: ( ; stack: ( { { { { (\nThought 25: ) ; stack: ( { { { {\nThought 26: } ; stack: ( { { {\nThought 27: } ; stack: ( { {\nThought 28: } ; stack: ( {\nThought 29: ) ; stack: (\nThought 30: { ; stack: {\nThought 31: < ; stack: { <\nThought 32: { ; stack: { < {\nThought 33: { ; stack: { < { {\nThought 34: [ ; stack: { < { { [\nThought 35: ] ; stack: { < { {\nThought 36: } ; stack: { < {\nThought 37: [ ; stack: { < { [\nThought 38: ( ; stack: { < { [ (\nThought 39: ) ; stack: { < { [\nThought 40: ] ; stack: { < {\nThought 41: } ; stack: { <\nThought 42: ( ; stack: { (\nThought 43: < ; stack: { ( <\nThought 44: { ; stack: { ( < {\nThought 45: [ ; stack: { ( < { [\nThought 46: < ; stack: { ( < { [ <\nThought 47: > ; stack: { ( < { [\nThought 48: ] ; stack: { ( < {\nThought 49: } ; stack: { ( <\nThought 50: ) ; stack: {\nThought 51: < ; stack: <\nThought 52: ( ; stack: < (\nThought 53: [ ; stack: < ( [\nThought 54: ] ; stack: < ( [ ]\nThought 55: { ; stack: < ( [ ] {\nThought 56: ( ; stack: < ( [ ] { (\nThought 57: < ; stack: < ( [ ] { ( <\nThought 58: < ; stack: < ( [ ] { ( < <\nThought 59: > ; stack: < ( [ ] { ( <\nThought 60: ] ; stack: < ( [ ] {\nThought 61: } ; stack: < ( [ ]\nThought 62: } ; stack: < (\nThought 63: ) ; stack: <\nThought 64: > ; stack: empty\nThought 65: ( ; stack: (\nThought 66: { ; stack: ( {\nThought 67: { ; stack: ( { {\nThought 68: [ ; stack: ( { { [\nThought 69: [ ; stack: ( { { [ [\nThought 70: ( ; stack: ( { { [ [ (\nThought 71: ) ; stack: ( { { [ [\nThought 72: ] ; stack: ( { { [\nThought 73: ] ; stack: ( { {\nThought 74: } ; stack: ( {\nThought 75: } ; stack: (\nThought 76: ) ; stack: empty\nThought 77: ) ; stack: empty\nThought 78: So the answer is ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:088", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { { ( { < [ < < ( ) > > ] > } { [ ( { < [ ] ( ) > } ) ] } < < ( < { < > ( ) } { } > ) > > ) }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: { ; stack: [ { {\nThought 6: ( ; stack: [ { { (\nThought 7: { ; stack: [ { { ( {\nThought 8: < ; stack: [ { { ( { <\nThought 9: [ ; stack: [ { { ( { < [\nThought 10: < ; stack: [ { { ( { < [ <\nThought 11: < ; stack: [ { { ( { < [ < <\nThought 12: ( ; stack: [ { { ( { < [ < < (\nThought 13: ) ; stack: [ { { ( { < [ < <\nThought 14: > ; stack: [ { { ( { < [ <\nThought 15: > ; stack: [ { { ( { < [\nThought 16: ] ; stack: [ { { ( { <\nThought 17: > ; stack: [ { { ( {\nThought 18: } ; stack: [ { { (\nThought 19: { ; stack: [ { {\nThought 20: { ; stack: [ { { {\nThought 21: [ ; stack: [ { { { [\nThought 22: ( ; stack: [ { { { [ (\nThought 23: { ; stack: [ { { { [ ( {\nThought 24: < ; stack: [ { { { [ ( { <\nThought 25: [ ; stack: [ { { { [ ( { < [\nThought 26: ] ; stack: [ { { { [ ( { <\nThought 27: ( ; stack: [ { { { [ ( {\nThought 28: ) ; stack: [ { { { [ (\nThought 29: ] ; stack: [ { { { [\nThought 30: ] ; stack: [ { { {\nThought 31: < ; stack: [ { { <\nThought 32: < ; stack: [ { { < <\nThought 33: ( ; stack: [ { { < < (\nThought 34: < ; stack: [ { { < < ( <\nThought 35: { ; stack: [ { { < < ( < {\nThought 36: < ; stack: [ { { < < ( < { <\nThought 37: > ; stack: [ { { < < ( < {\nThought 38: ) ; stack: [ { { < < (\nThought 39: ) ; stack: [ { { <\nThought 40: ) ; stack: [ { {\nThought 41: } ; stack: [ {\nThought 42: } ; stack: [\nThought 43: Now, we have reached the end. The final stack is \"[\".\nThought 44: We will need to pop out \"[\" one by one in that order.\nThought 45: So, we need \"]\". So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:090", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ] [ ( [ [ ( ) ] ] ) < < [ ] > > < < >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ] ; stack: empty\nThought 5: [ ; stack: [\nThought 6: ( ; stack: [ (\nThought 7: [ ; stack: [ ( [\nThought 8: [ ; stack: [ ( [ [\nThought 9: ( ; stack: [ ( [ [ (\nThought 10: ) ; stack: [ ( [ [\nThought 11: ] ; stack: [ ( [\nThought 12: ] ; stack: [ (\nThought 13: ) ; stack: [\nThought 14: < ; stack: [ <\nThought 15: < ; stack: [ < <\nThought 16: [ ; stack: [ < < [\nThought 17: ] ; stack: [ < <\nThought 18: > ; stack: [ <\nThought 19: > ; stack: [\nThought 20: < ; stack: [ <\nThought 21: < ; stack: [ < <\nThought 22: > ; stack: [ <\nThought 23: Now, we have reached the end. The final stack is \"[ <\".\nThought 24: We will need to pop out \"<\", \"[\" one by one in that order.\nThought 25: So, we need \">\", \"]\". So the answer is > ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:092", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < ( ) > { < [ ( [ ( ) ] ) ] [ [ ( < > ) < > ] [ ] ] > } ) { [ ] } { < { ( ) } > } { ( [ { }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: ( ; stack: ( < (\nThought 6: ) ; stack: ( <\nThought 7: > ; stack: (\nThought 8: { ; stack: ( {\nThought 9: < ; stack: ( { <\nThought 10: [ ; stack: ( { < [\nThought 11: ( ; stack: ( { < [ (\nThought 12: [ ; stack: ( { < [ ( [\nThought 13: ( ; stack: ( { < [ ( [ (\nThought 14: ) ; stack: ( { < [ ( [\nThought 15: ] ; stack: ( { < [ (\nThought 16: ] ; stack: ( { < [\nThought 17: [ ; stack: ( { < [ [\nThought 18: ( ; stack: ( { < [ [ (\nThought 19: < ; stack: ( { < [ [ ( <\nThought 20: > ; stack: ( { < [ [ (\nThought 21: ) ; stack: ( { < [ [\nThought 22: ] ; stack: ( { < [\nThought 23: ] ; stack: ( { <\nThought 24: ] ; stack: ( {\nThought 25: ) ; stack: (\nThought 26: { ; stack: {\nThought 27: [ ; stack: { [\nThought 28: ] ; stack: {\nThought 29: } ; stack: empty\nThought 30: { ; stack: {\nThought 31: < ; stack: { <\nThought 32: { ; stack: { < {\nThought 33: ( ; stack: { < { (\nThought 34: ) ; stack: { < {\nThought 35: } ; stack: { <\nThought 36: > ; stack: {\nThought 37: } ; stack: empty\nThought 38: { ; stack: {\nThought 39: ( ; stack: { (\nThought 40: [ ; stack: { ( [\nThought 41: { ; stack: { ( [ {\nThought 42: Now, we have reached the end. The final stack is \"{ ( [ {\".\nThought 43: We will need to pop out \"{\", \"[\", \"(\" one by one in that order.\nThought 44: So, we need \"}\", \"]\", \")\". So the answer is } ] )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:094", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { { { { [ ( { < [ [ { } < > ] ] ( < > ) { { [ [ < ( < < > < > ( < > ) > ) { { < [ [ ( { ( [ < ( ) > ] ) } ) ] ] > } } > ] ] } } ( ) > ( ) } [ ] < ( ) > ) ] } { } } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: { ; stack: < { {\nThought 6: { ; stack: < { { {\nThought 7: [ ; stack: < { { { [\nThought 8: ( ; stack: < { { { [ (\nThought 9: { ; stack: < { { { [ ( {\nThought 10: < ; stack: < { { { [ ( { <\nThought 11: [ ; stack: < { { { [ ( { < [\nThought 12: [ ; stack: < { { { [ ( { < [ [\nThought 13: { ; stack: < { { { [ ( { < [ [ {\nThought 14: } ; stack: < { { { [ ( { < [ [\nThought 15: < ; stack: < { { { [ ( { < [ [ <\nThought 16: > ; stack: < { { { [ ( { < [ [\nThought 17: ] ; stack: < { { { [ ( { < [\nThought 18: ] ; stack: < { { { [ ( { <\nThought 19: ( ; stack: < { { { [ ( { ( < > )\nThought 20: { ; stack: < { { { [ ( { ( < > ) {\nThought 21: [ ; stack: < { { { [ ( { ( < > ) { [\nThought 22: [ ; stack: < { { { [ ( { ( < > ) { [ [\nThought 23: < ; stack: < { { { [ ( { ( < > ) { [ [ <\nThought 24: < ; stack: < { { { [ ( { ( < > ) { [ [ < <\nThought 25: > ; stack: < { { { [ ( { ( < > ) { [ [ < < >\nThought 26: > ; stack: < { { { [ ( { ( < > ) { [ [ < < > >\nThought 27: ) ; stack: < { { { [ ( { ( < > ) { [ [ < <\nThought 28: ) ; stack: < { { { [ ( { ( < > ) { [ [\nThought 29: { ; stack: < { { { [ ( { ( < > ) { [\nThought 30: { ; stack: < { { { [ ( { ( < > ) {\nThought 31: > ; stack: < { { { [ ( { ( < > )\nThought 32: ] ; stack: < { { { [ ( {\nThought 33: ] ; stack: < { { { [\nThought 34: } ; stack: < { { {\nThought 35: } ; stack: < { {\nThought 36: } ; stack: < {\nThought 37: } ; stack: <\nThought 38: Now, we have reached the end. The final stack is \"<\".\nThought 39: We will need to pop out \"<\". So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:101", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < [ ( < [ ( { [ ( ) ] [ ( ( { [ ] } ) ) ] } ) ] > ) ] <\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: [ ; stack: < < [\nThought 6: ( ; stack: < < [ (\nThought 7: < ; stack: < < [ ( <\nThought 8: [ ; stack: < < [ ( < [\nThought 9: ( ; stack: < < [ ( < [ (\nThought 10: { ; stack: < < [ ( < [ ( {\nThought 11: [ ; stack: < < [ ( < [ ( { [\nThought 12: ( ; stack: < < [ ( < [ ( { [ (\nThought 13: ) ; stack: < < [ ( < [ ( { [\nThought 14: ] ; stack: < < [ ( < [ ( {\nThought 15: [ ; stack: < < [ ( < [ (\nThought 16: ( ; stack: < < [ ( < [\nThought 17: ( ; stack: < < [ (\nThought 18: { ; stack: < < [ {\nThought 19: [ ; stack: < < [ { [\nThought 20: ( ; stack: < < [ { [ (\nThought 21: { ; stack: < < [ { [ ( {\nThought 22: [ ; stack: < < [ { [ ( { [\nThought 23: ] ; stack: < < [ { [ ( {\nThought 24: } ; stack: < < [ { [ (\nThought 25: ) ; stack: < < [ { [\nThought 26: ] ; stack: < < [ {\nThought 27: } ; stack: < < [\nThought 28: ] ; stack: < <\nThought 29: > ; stack: <\nThought 30: ) ; stack: empty\nThought 31: ] ; stack: empty\nThought 32: < ; stack: empty So the answer is > ] ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:102", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( < [ < > ] > ) ) { ( ( < [ [ { ( ) } ] ] > ) ) < > < > } (\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: < ; stack: ( ( <\nThought 6: [ ; stack: ( ( < [\nThought 7: < ; stack: ( ( < [ <\nThought 8: > ; stack: ( ( < [\nThought 9: ] ; stack: ( ( <\nThought 10: > ; stack: ( (\nThought 11: ) ; stack: (\nThought 12: ) ; stack: empty\nThought 13: { ; stack: {\nThought 14: ( ; stack: { (\nThought 15: ( ; stack: { ( (\nThought 16: < ; stack: { ( ( <\nThought 17: [ ; stack: { ( ( < [\nThought 18: [ ; stack: { ( ( < [ [\nThought 19: { ; stack: { ( ( < [ [ {\nThought 20: ( ; stack: { ( ( < [ [ { (\nThought 21: ) ; stack: { ( ( < [ [ {\nThought 22: } ; stack: { ( ( < [ [\nThought 23: ] ; stack: { ( ( < [\nThought 24: ] ; stack: { ( ( <\nThought 25: > ; stack: { ( (\nThought 26: ) ; stack: { (\nThought 27: ) ; stack: {\nThought 28: < ; stack: { <\nThought 29: > ; stack: {\nThought 30: < ; stack: { <\nThought 31: > ; stack: {\nThought 32: } ; stack: empty\nThought 33: ( ; stack: (\nThought 34: Now, we have reached the end. The final stack is \"(\".\nThought 35: We will need to pop out \"(\" one by one in that order.\nThought 36: So, we need \")\". So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:103", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( ) ( ( { } ) ) } [ ( < < ( < > < > ( ( [ ( [ [ { < > } ] ] ) ] ) ) ( < { ( ( ) ) } > ) ) ( [ < < < [ ] > { ( [ ] ) } > > { } ] ) [ [ { } ] ] < ( ) > > < [ ] > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: ) ; stack: {\nThought 6: ( ; stack: { (\nThought 7: ( ; stack: { ( (\nThought 8: { ; stack: { ( ( {\nThought 9: } ; stack: { ( (\nThought 10: ) ; stack: { (\nThought 11: ) ; stack: {\nThought 12: } ; stack: empty\nThought 13: [ ; stack: [\nThought 14: ( ; stack: [ (\nThought 15: < ; stack: [ ( <\nThought 16: < ; stack: [ ( < <\nThought 17: ( ; stack: [ ( < < (\nThought 18: < ; stack: [ ( < < ( <\nThought 19: > ; stack: [ ( < < ( < >\nThought 20: > ; stack: [ ( < < ( < > >\nThought 21: ( ; stack: [ ( < < ( < > > (\nThought 22: ( ; stack: [ ( < < ( < > > ( (\nThought 23: [ ; stack: [ ( < < ( < > > ( ( [\nThought 24: [ ; stack: [ ( < < ( < > > ( ( [ [\nThought 25: { ; stack: [ ( < < ( < > > ( ( [ [ {\nThought 26: < ; stack: [ ( < < ( < > > ( ( [ [ { <\nThought 27: > ; stack: [ ( < < ( < > > ( ( [ [ {\nThought 28: } ; stack: [ ( < < ( < > > ( ( [ [\nThought 29: ] ; stack: [ ( < < ( < > > ( ( [\nThought 30: ] ; stack: [ ( < < ( < > > (\nThought 31: ) ; stack: [ ( < < ( < > >\nThought 32: ) ; stack: [ ( < < (\nThought 33: ( ; stack: [ ( < < ( (\nThought 34: < ; stack: [ ( < < ( ( <\nThought 35: { ; stack: [ ( < < ( ( < {\nThought 36: ( ; stack: [ ( < < ( ( < { (\nThought 37: ( ; stack: [ ( < < ( ( < { ( (\nThought 38: ) ; stack: [ ( < < ( ( < {\nThought 39: ) ; stack: [ ( < < ( (\nThought 40: ) ; stack: [ ( < <\nThought 41: ) ; stack: [ (\nThought 42: ) ; stack: empty\nThought 43: [ ; stack: [\nThought 44: [ ; stack: [ [\nThought 45: { ; stack: [ [ {\nThought 46: } ; stack: [ [\nThought 47: < ; stack: [ [ <\nThought 48: ( ; stack: [ [ < (\nThought 49: ) ; stack: [ [ <\nThought 50: > ; stack: [ [ < >\nThought 51: > ; stack: [ [\nThought 52: ] ; stack: [\nThought 53: ] ; stack: empty\nThought 54: ] ; stack: empty\nThought 55: ] ; stack: empty\nThought 56: Now, we have reached the end. The final stack is empty.\nThought 57: We will need to pop out all the elements in the stack.\nThought 58: So, we need nothing. So the answer is > > ] ] > > ] ] > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:104", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < < < { ( [ { [ ] } ] ) < > } > > > < < ( [ [ ] ] { } [ < > ] [ < > ] < < > > [ { < > ( ( ) ) } ] ( { < > } ) [ [ { } ] ] ) > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: < ; stack: ( < <\nThought 6: < ; stack: ( < < <\nThought 7: { ; stack: ( < < < {\nThought 8: ( ; stack: ( < < < { (\nThought 9: [ ; stack: ( < < < { ( [\nThought 10: { ; stack: ( < < < { ( [ {\nThought 11: [ ; stack: ( < < < { ( [ { [\nThought 12: ] ; stack: ( < < < { ( [ {\nThought 13: ] ; stack: ( < < < { ( [\nThought 14: } ; stack: ( < < < { (\nThought 15: ) ; stack: ( < < < {\nThought 16: < ; stack: ( < < <\nThought 17: > ; stack: ( < <\nThought 18: } ; stack: ( <\nThought 19: > ; stack: (\nThought 20: > ; stack: empty\nThought 21: > ; stack: empty\nThought 22: < ; stack: <\nThought 23: ( ; stack: < (\nThought 24: [ ; stack: < ( [\nThought 25: [ ; stack: < ( [ [\nThought 26: ] ; stack: < ( [\nThought 27: ] ; stack: < (\nThought 28: { ; stack: < {\nThought 29: } ; stack: empty\nThought 30: [ ; stack: [\nThought 31: < ; stack: [ <\nThought 32: > ; stack: [\nThought 33: ] ; stack: empty\nThought 34: < ; stack: <\nThought 35: > ; stack: empty\nThought 36: > ; stack: empty\nThought 37: [ ; stack: [\nThought 38: { ; stack: [ {\nThought 39: < ; stack: [ { <\nThought 40: > ; stack: [ {\nThought 41: ( ; stack: [ { (\nThought 42: ( ; stack: [ { ( (\nThought 43: ) ; stack: [ { (\nThought 44: ) ; stack: [ {\nThought 45: ] ; stack: [\nThought 46: ] ; stack: empty\nThought 47: ( ; stack: (\nThought 48: { ; stack: ( {\nThought 49: < ; stack: ( { <\nThought 50: > ; stack: ( {\nThought 51: } ; stack: (\nThought 52: ) ; stack: empty\nThought 53: > ; stack: empty\nThought 54: > ; stack: empty\nThought 55: Now, we have reached the end. The final stack is empty.\nThought 56: So the answer is < < < { ( [ { [ ] } ] ) < > } > > > < < ( [ [ ] ] { } [ < > ] [ < > ] < < > > [ { < > ( ( ) ) } ] ( { < > } ) [ [ { } ] ] ) > > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:105", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ] { < { { ( { [ ( [ { < < ( ) [ { } ] ( [ ( ) [ < ( { } ) > [ { } ] ] ( ) ( [ [ ( ( [ < > { { ( ) } } ] ) ( ) ) ] ] ) [ ] ] ) > > } ] ) ] } ) } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ] ; stack: empty\nThought 5: { ; stack: {\nThought 6: < ; stack: { <\nThought 7: { ; stack: { < {\nThought 8: { ; stack: { < { {\nThought 9: ( ; stack: { < { { (\nThought 10: { ; stack: { < { { ( {\nThought 11: [ ; stack: { < { { ( { [\nThought 12: ( ; stack: { < { { ( { [ (\nThought 13: [ ; stack: { < { { ( { [ ( [\nThought 14: { ; stack: { < { { ( { [ ( [ {\nThought 15: < ; stack: { < { { ( { [ ( [ { <\nThought 16: < ; stack: { < { { ( { [ ( [ { < <\nThought 17: ( ; stack: { < { { ( { [ ( [ { < < (\nThought 18: ) ; stack: { < { { ( { [ ( [ { < <\nThought 19: [ ; stack: { < { { ( { [ ( [ { < < [\nThought 20: { ; stack: { < { { ( { [ ( [ { < < [ {\nThought 21: } ; stack: { < { { ( { [ ( [ { < <\nThought 22: ] ; stack: { < { { ( { [ ( [ { <\nThought 23: ( ; stack: { < { { ( { [ ( [ {\nThought 24: [ ; stack: { < { { ( { [ ( [\nThought 25: ( ; stack: { < { { ( { [ (\nThought 26: ) ; stack: { < { { ( { [\nThought 27: [ ; stack: { < { { ( {\nThought 28: < ; stack: { < { { (\nThought 29: ( ; stack: { < { {\nThought 30: { ; stack: { < {\nThought 31: { ; stack: { <\nThought 32: { ; stack: {\nThought 33: Now, we have reached the end. The final stack is \"{\".\nThought 34: We will need to pop out \"}\" one by one in that order.\nThought 35: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:107", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { < { { [ < [ ( { < [ ] ( ) { < [ ] [ ( ) ] > } > } ) ] > ] } } ( < > ) < { ( { < > } ) < [ ] > } > > }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: < ; stack: [ { <\nThought 6: { ; stack: [ { < {\nThought 7: { ; stack: [ { < { {\nThought 8: [ ; stack: [ { < { { [\nThought 9: < ; stack: [ { < { { [ <\nThought 10: [ ; stack: [ { < { { [ < [\nThought 11: ( ; stack: [ { < { { [ < [ (\nThought 12: { ; stack: [ { < { { [ < [ ( {\nThought 13: < ; stack: [ { < { { [ < [ ( { <\nThought 14: [ ; stack: [ { < { { [ < [ ( { < [\nThought 15: ] ; stack: [ { < { { [ < [ ( { <\nThought 16: ( ; stack: [ { < { { [ < [ ( {\nThought 17: ) ; stack: [ { < { { [ < [ (\nThought 18: } ; stack: [ { < { { [ < [\nThought 19: > ; stack: [ { < { { [ <\nThought 20: ] ; stack: [ { < { { [\nThought 21: ] ; stack: [ { < { {\nThought 22: } ; stack: [ { < {\nThought 23: } ; stack: [ { <\nThought 24: } ; stack: [ {\nThought 25: ( ; stack: [ (\nThought 26: < ; stack: [ ( <\nThought 27: > ; stack: [ (\nThought 28: ) ; stack: [\nThought 29: < ; stack: <\nThought 30: { ; stack: < {\nThought 31: ( ; stack: < { (\nThought 32: { ; stack: < { ( {\nThought 33: < ; stack: < { ( { <\nThought 34: > ; stack: < { ( {\nThought 35: } ; stack: < { (\nThought 36: ) ; stack: < {\nThought 37: < ; stack: <\nThought 38: [ ; stack: < [\nThought 39: ] ; stack: <\nThought 40: > ; stack: <\nThought 41: } ; stack: empty\nThought 42: Now, we have reached the end. The final stack is empty.\nThought 43: So the answer is > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:108", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ [ ( ( [ ( < ( ) < < [ [ ( ) ] ] > { [ < > ] } > < ( ) > < [ ( ( { } ) ) ( ) ] > > ) ] ) { [ < [ ( ) ] > ] { } } < > ( [ ( { [ ( ) ] { ( { } ) } } ) ] ( [ ] [ [ ] ] ) ) [ ] ) ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: [ ; stack: [ [\nThought 5: ( ; stack: [ [ (\nThought 6: ( ; stack: [ [ ( (\nThought 7: [ ; stack: [ [ ( ( [\nThought 8: ( ; stack: [ [ ( ( [ (\nThought 9: < ; stack: [ [ ( ( [ ( <\nThought 10: ( ; stack: [ [ ( ( [ ( < (\nThought 11: ) ; stack: [ [ ( ( [ ( <\nThought 12: < ; stack: [ [ ( ( [ ( < <\nThought 13: [ ; stack: [ [ ( ( [ ( < < [\nThought 14: [ ; stack: [ [ ( ( [ ( < < [ [\nThought 15: ) ; stack: [ [ ( ( [ ( < < [\nThought 16: ] ; stack: [ [ ( ( [ ( <\nThought 17: > ; stack: [ [ ( ( [\nThought 18: { ; stack: [ [ ( ( {\nThought 19: [ ; stack: [ [ ( {\nThought 20: < ; stack: [ [ {\nThought 21: > ; stack: [ {\nThought 22: { ; stack: {\nThought 23: } ; stack: empty\nThought 24: < ; stack: <\nThought 25: > ; stack: empty\nThought 26: ( ; stack: (\nThought 27: [ ; stack: ( [\nThought 28: { ; stack: ( [ {\nThought 29: [ ; stack: ( [ { [\nThought 30: ( ; stack: ( [ { [ (\nThought 31: ) ; stack: ( [ { [\nThought 32: } ; stack: ( [ {\nThought 33: } ; stack: ( [\nThought 34: ) ; stack: (\nThought 35: ] ; stack: empty\nThought 36: ] ; stack: empty\nThought 37: Now, we have reached the end. The final stack is empty.\nThought 38: So the answer is ) ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:110", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { < { [ < > ] [ ( ) ( < [ [ { [ [ < < < [ < [ < > ] ( ( { ( < > ) } ( { } ) ) ) < > > ] > { ( ) ( ( { ( ) [ ] } ) ) } > > ] ] } ] ] > ) < > ] } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: < ; stack: { <\nThought 5: { ; stack: { < {\nThought 6: [ ; stack: { < { [\nThought 7: < ; stack: { < { [ <\nThought 8: > ; stack: { < { [\nThought 9: ] ; stack: { < {\nThought 10: [ ; stack: { < { [\nThought 11: ( ; stack: { < { [ (\nThought 12: ) ; stack: { < { [\nThought 13: ( ; stack: { < { [ (\nThought 14: < ; stack: { < { [ ( <\nThought 15: [ ; stack: { < { [ ( < [\nThought 16: [ ; stack: { < { [ ( < [ [\nThought 17: { ; stack: { < { [ ( < [ [ {\nThought 18: [ ; stack: { < { [ ( < [ [ { [\nThought 19: < ; stack: { < { [ ( < [ [ { [ <\nThought 20: < ; stack: { < { [ ( < [ [ { [ < <\nThought 21: < ; stack: { < { [ ( < [ [ { [ < < <\nThought 22: [ ; stack: { < { [ ( < [ [ { [ < < < [\nThought 23: < ; stack: { < { [ ( < [ [ { [ < < < [ <\nThought 24: [ ; stack: { < { [ ( < [ [ { [ < < < [ < [\nThought 25: < ; stack: { < { [ ( < [ [ { [ < < < [ < [ <\nThought 26: ] ; stack: { < { [ ( < [ [ { [ < < < [ < [\nThought 27: ) ; stack: { < { [ ( < [ [ { [ < < < [ <\nThought 28: ) ; stack: { < { [ ( < [ [ { [ < < < [\nThought 29: > ; stack: { < { [ ( < [ [ { [ < < <\nThought 30: ] ; stack: { < { [ ( < [ [ { [ < <\nThought 31: ] ; stack: { < { [ ( < [ [ { [ <\nThought 32: } ; stack: { < { [ ( < [ [ { [\nThought 33: ] ; stack: { < { [ ( < [ [ {\nThought 34: ] ; stack: { < { [ ( < [ [\nThought 35: ] ; stack: { < { [ ( < [\nThought 36: > ; stack: { < { [ ( <\nThought 37: ] ; stack: { < { [\nThought 38: } ; stack: { < {\nThought 39: > ; stack: { <\nThought 40: } ; stack: {\nThought 41: Now, we have reached the end. The final stack is \"{\".\nThought 42: We will need to pop out \"{\" one by one in that order.\nThought 43: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:111", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ] ( { < > < { [ [ ( ) ] [ ] { [ ( { ( ) } < < [ ] > > ) { } { } ] } { ( { } ) } ] [ < [ ] > < < > > ] } [ ] > } ) ( [ ( [ [ [ { } ] ] [ < [ [ ] [ [ ( ) ] ] ] > ] ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ] ; stack: empty\nThought 5: ( ; stack: (\nThought 6: { ; stack: ( {\nThought 7: < ; stack: ( { <\nThought 8: > ; stack: ( { < >\nThought 9: < ; stack: ( { < <\nThought 10: { ; stack: ( { < < {\nThought 11: [ ; stack: ( { < < { [\nThought 12: [ ; stack: ( { < < { [ [\nThought 13: ( ; stack: ( { < < { [ [ (\nThought 14: ) ; stack: ( { < < { [ [\nThought 15: ] ; stack: ( { < < { [\nThought 16: ] ; stack: ( { < < {\nThought 17: { ; stack: ( { < <\nThought 18: [ ; stack: ( { < [\nThought 19: ( ; stack: ( { < (\nThought 20: [ ; stack: ( { < [ [\nThought 21: [ ; stack: ( { < [ [ [\nThought 22: [ ; stack: ( { < [ [ [ [\nThought 23: { ; stack: ( { < [ [ [ [ {\nThought 24: } ; stack: ( { < [ [ [ [\nThought 25: ] ; stack: ( { < [ [ [\nThought 26: [ ; stack: ( { < [ [\nThought 27: < ; stack: ( { < [\nThought 28: [ ; stack: ( { <\nThought 29: ] ; stack: ( {\nThought 30: > ; stack: (\nThought 31: } ; stack: empty\nThought 32: ) ; stack: empty\nThought 33: ) ; stack: empty\nThought 34: Now, we have reached the end. The final stack is empty.\nThought 35: So the answer is ) ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:112", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < < { < < > > } > < < { < ( < > ) < > [ [ [ < ( ( ) ) > [ ] [ ] ] ] ] < ( ) > ( ) [ ( [ [ ] ] ) ] > } { } { < [ < { ( { } ) } > ] > } { { } } > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: < ; stack: < < <\nThought 6: { ; stack: < < < {\nThought 7: < ; stack: < < < { <\nThought 8: < ; stack: < < < { < <\nThought 9: > ; stack: < < < { <\nThought 10: > ; stack: < < < {\nThought 11: } ; stack: < < <\nThought 12: < ; stack: < <\nThought 13: < ; stack: < < <\nThought 14: { ; stack: < < < {\nThought 15: < ; stack: < < < { <\nThought 16: ( ; stack: < < < { < (\nThought 17: < ; stack: < < < { < ( <\nThought 18: > ; stack: < < < { < (\nThought 19: ) ; stack: < < < { <\nThought 20: < ; stack: < < < {\nThought 21: > ; stack: < < <\nThought 22: [ ; stack: < < [\nThought 23: [ ; stack: < < [ [\nThought 24: [ ; stack: < < [ [ [\nThought 25: < ; stack: < < [ [ [ <\nThought 26: ( ; stack: < < [ [ [ < (\nThought 27: ( ; stack: < < [ [ [ < ( (\nThought 28: ) ; stack: < < [ [ [ < (\nThought 29: > ; stack: < < [ [ [ <\nThought 30: ] ; stack: < < [ [ [\nThought 31: ] ; stack: < < [ [\nThought 32: ] ; stack: < < [\nThought 33: < ; stack: < <\nThought 34: ( ; stack: < < (\nThought 35: ) ; stack: < <\nThought 36: ( ; stack: < (\nThought 37: ) ; stack: <\nThought 38: [ ; stack: [\nThought 39: [ ; stack: [ [\nThought 40: ] ; stack: [\nThought 41: ] ; stack: empty\nThought 42: > ; stack: empty\nThought 43: > ; stack: empty\nThought 44: } ; stack: empty\nThought 45: } ; stack: empty\nThought 46: } ; stack: empty\nThought 47: < ; stack: <\nThought 48: [ ; stack: < [\nThought 49: < ; stack: < [ <\nThought 50: { ; stack: < [ < {\nThought 51: { ; stack: < [ < { {\nThought 52: ( ; stack: < [ < { { (\nThought 53: } ; stack: < [ < { {\nThought 54: } ; stack: < [ < {\nThought 55: } ; stack: < [ <\nThought 56: ] ; stack: < [\nThought 57: > ; stack: <\nThought 58: > ; stack: empty\nThought 59: } ; stack: empty\nThought 60: } ; stack: empty\nThought 61: } ; stack: empty\nThought 62: Now, we have reached the end. The final stack is empty.\nThought 63: We will need to pop out nothing.\nThought 64: So, we need nothing. So the answer is\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:113", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < < ( [ < ( ) { { } } > [ [ ] ] [ ] ( < > ) ( { } { } < > [ { [ ] } ] ( [ ( < [ < > ] [ { } { ( < > ) < < > > } ] > ) ] ) < > ) < > { } ] ) [ ( ( [ ] ) < [ < > { ( ) } ( ) { } ] > )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: < ; stack: < <\nThought 5: ( ; stack: < < (\nThought 6: [ ; stack: < < ( [\nThought 7: < ; stack: < < ( [ <\nThought 8: ( ; stack: < < ( [ < (\nThought 9: ) ; stack: < < ( [ <\nThought 10: { ; stack: < < ( [ < {\nThought 11: { ; stack: < < ( [ < { {\nThought 12: } ; stack: < < ( [ < {\nThought 13: } ; stack: < < ( [ <\nThought 14: > ; stack: < < ( [\nThought 15: [ ; stack: < < ( [ [\nThought 16: ] ; stack: < < ( [\nThought 17: ] ; stack: < < (\nThought 18: [ ; stack: < < [\nThought 19: ] ; stack: < <\nThought 20: ( ; stack: < (\nThought 21: < ; stack: < ( <\nThought 22: > ; stack: < (\nThought 23: ) ; stack: <\nThought 24: ( ; stack: (\nThought 25: { ; stack: ( {\nThought 26: } ; stack: (\nThought 27: ] ; stack: )\nThought 28: [ ; stack: [ )\nThought 29: ( ; stack: [ ( )\nThought 30: [ ; stack: [ ( [ )\nThought 31: ] ; stack: [ ( )\nThought 32: ) ; stack: [ )\nThought 33: < ; stack: [ < )\nThought 34: [ ; stack: [ < [ )\nThought 35: < ; stack: [ < [ < )\nThought 36: > ; stack: [ < [ )\nThought 37: ] ; stack: [ < )\nThought 38: ] ; stack: [ )\nThought 39: < ; stack: < )\nThought 40: > ; stack: empty\nThought 41: Now, we have reached the end. The final stack is empty.\nThought 42: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:116", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { } [ < ( ( { < { { } } > ( ( < { [ < > ] { } < ( [ ] ) > } > ( < [ ] [ [ ] ] > ) ) ) } ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: } ; stack: empty\nThought 5: [ ; stack: [\nThought 6: < ; stack: [ <\nThought 7: ( ; stack: [ < (\nThought 8: ( ; stack: [ < ( (\nThought 9: { ; stack: [ < ( ( {\nThought 10: < ; stack: [ < ( ( { <\nThought 11: { ; stack: [ < ( ( { < {\nThought 12: { ; stack: [ < ( ( { < { {\nThought 13: } ; stack: [ < ( ( { < {\nThought 14: } ; stack: [ < ( ( { <\nThought 15: > ; stack: [ < ( ( {\nThought 16: ( ; stack: [ < ( (\nThought 17: ( ; stack: [ < (\nThought 18: < ; stack: [ <\nThought 19: { ; stack: [ < {\nThought 20: [ ; stack: [ < { [\nThought 21: < ; stack: [ < { [ <\nThought 22: > ; stack: [ < { [\nThought 23: ] ; stack: [ < {\nThought 24: { ; stack: [ < { {\nThought 25: } ; stack: [ < {\nThought 26: < ; stack: [ <\nThought 27: ( ; stack: [ < (\nThought 28: [ ; stack: [ < ( [\nThought 29: ] ; stack: [ < (\nThought 30: ) ; stack: [ <\nThought 31: > ; stack: [\nThought 32: ( ; stack: (\nThought 33: < ; stack: ( <\nThought 34: [ ; stack: ( < [\nThought 35: ] ; stack: ( <\nThought 36: [ ; stack: ( < [\nThought 37: ] ; stack: ( <\nThought 38: ] ; stack: (\nThought 39: ) ; stack: empty\nThought 40: ) ; stack: empty\nThought 41: ) ; stack: empty\nThought 42: Now, we have reached the end. The final stack is empty.\nThought 43: So the answer is ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:117", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( [ < { [ < < { } > > ] } > [ [ { [ ] } ] ] ( { < { ( ) } > } ) ] { < > } ) < { { ( ) ( < > ) } } [ [ [ [ < [ [ { [ ] } ] ] > ] { } ] ] ] < { ( ) } > { [ { } ] } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: [ ; stack: ( ( [\nThought 6: < ; stack: ( ( [ <\nThought 7: { ; stack: ( ( [ < {\nThought 8: [ ; stack: ( ( [ < { [\nThought 9: < ; stack: ( ( [ < { [ <\nThought 10: < ; stack: ( ( [ < { [ < <\nThought 11: { ; stack: ( ( [ < { [ < < {\nThought 12: } ; stack: ( ( [ < { [ < <\nThought 13: > ; stack: ( ( [ < { [ <\nThought 14: > ; stack: ( ( [ < {\nThought 15: } ; stack: ( ( [ <\nThought 16: ] ; stack: ( ( [\nThought 17: > ; stack: ( (\nThought 18: [ ; stack: ( [\nThought 19: [ ; stack: [ [\nThought 20: { ; stack: [ [ {\nThought 21: [ ; stack: [ [ { [\nThought 22: ] ; stack: [ [ {\nThought 23: ] ; stack: [ [\nThought 24: ) ; stack: [\nThought 25: { ; stack: {\nThought 26: < ; stack: { <\nThought 27: > ; stack: {\nThought 28: } ; stack: empty\nThought 29: < ; stack: <\nThought 30: { ; stack: < {\nThought 31: { ; stack: < { {\nThought 32: ( ; stack: < { { (\nThought 33: ) ; stack: < { {\nThought 34: ( ; stack: < { { (\nThought 35: < ; stack: < { { ( <\nThought 36: > ; stack: < { { (\nThought 37: ) ; stack: < { {\nThought 38: } ; stack: < {\nThought 39: } ; stack: <\nThought 40: [ ; stack: [\nThought 41: [ ; stack: [ [\nThought 42: [ ; stack: [ [ [\nThought 43: [ ; stack: [ [ [ [\nThought 44: < ; stack: [ [ [ [ <\nThought 45: [ ; stack: [ [ [ [ < [\nThought 46: [ ; stack: [ [ [ [ < [ [\nThought 47: { ; stack: [ [ [ [ < [ [ {\nThought 48: ] ; stack: [ [ [ [ < [ [\nThought 49: ] ; stack: [ [ [ [ <\nThought 50: ] ; stack: [ [ [\nThought 51: ] ; stack: [ [\nThought 52: ] ; stack: [\nThought 53: < ; stack: <\nThought 54: { ; stack: < {\nThought 55: ( ; stack: < { (\nThought 56: ) ; stack: < {\nThought 57: > ; stack: <\nThought 58: { ; stack: {\nThought 59: [ ; stack: { [\nThought 60: { ; stack: { [ {\nThought 61: } ; stack: { [\nThought 62: } ; stack: {\nThought 63: > ; stack: empty\nThought 64: Now, we have reached the end. The final stack is \"{\".\nThought 65: We will need to pop out \"{\" one by one in that order.\nThought 66: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:118", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( < > ) { { < ( ( ) ) [ ] > } } } [ ( ) [ [ < ( ) > ] ] < < { ( < [ { } ] [ { [ [ ] ] } ] [ ] > < > ) } ( ) { < { } > } > > < { { [ { { [ ] } < < > > } ] ( ( ) ) }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: < ; stack: { ( <\nThought 6: > ; stack: { (\nThought 7: ) ; stack: {\nThought 8: { ; stack: { {\nThought 9: { ; stack: { { {\nThought 10: < ; stack: { { { <\nThought 11: ( ; stack: { { { < (\nThought 12: ( ; stack: { { { < ( (\nThought 13: ) ; stack: { { { < (\nThought 14: ) ; stack: { { { <\nThought 15: ] ; stack: { { {\nThought 16: > ; stack: { { {\nThought 17: } ; stack: { {\nThought 18: } ; stack: {\nThought 19: [ ; stack: [\nThought 20: ( ; stack: [ (\nThought 21: ) ; stack: [\nThought 22: [ ; stack: [ [\nThought 23: < ; stack: [ [ <\nThought 24: ( ; stack: [ [ < (\nThought 25: ) ; stack: [ [ <\nThought 26: > ; stack: [ [\nThought 27: ] ; stack: [\nThought 28: < ; stack: <\nThought 29: { ; stack: < {\nThought 30: ( ; stack: < { (\nThought 31: < ; stack: < { ( <\nThought 32: [ ; stack: < { ( < [\nThought 33: { ; stack: < { ( < [ {\nThought 34: } ; stack: < { ( < [\nThought 35: ] ; stack: < { ( <\nThought 36: ] ; stack: < { (\nThought 37: > ; stack: < {\nThought 38: > ; stack: <\nThought 39: ) ; stack: empty\nThought 40: ) ; stack: empty\nThought 41: { ; stack: {\nThought 42: < ; stack: { <\nThought 43: { ; stack: { < {\nThought 44: } ; stack: { <\nThought 45: > ; stack: {\nThought 46: > ; stack: empty\nThought 47: < ; stack: <\nThought 48: { ; stack: < {\nThought 49: { ; stack: < { {\nThought 50: [ ; stack: < { { [\nThought 51: { ; stack: < { { [ {\nThought 52: } ; stack: < { { [\nThought 53: ] ; stack: < { {\nThought 54: } ; stack: < {\nThought 55: ] ; stack: <\nThought 56: ( ; stack: (\nThought 57: ( ; stack: ( (\nThought 58: ) ; stack: (\nThought 59: ) ; stack: empty\nThought 60: Now, we have reached the end. The final stack is \"( ( ) )\".\nThought 61: We will need to pop out \")\", \")\", \"(\" one by one in that order.\nThought 62: So, we need \")\", \")\", \"(\". So the answer is ) ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:120", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { ( [ [ ( ( < [ [ { } ] ] > ) ) ] ] ) } > [ ( < < [ [ < > ] ] > ( ) { < ( { } ) ( ( [ { } { { < ( ) > } < ( ) > } ] ) ) > }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: ( ; stack: < { (\nThought 6: [ ; stack: < { ( [\nThought 7: [ ; stack: < { ( [ [\nThought 8: ( ; stack: < { ( [ [ (\nThought 9: ( ; stack: < { ( [ [ ( (\nThought 10: < ; stack: < { ( [ [ ( ( <\nThought 11: [ ; stack: < { ( [ [ ( ( < [\nThought 12: [ ; stack: < { ( [ [ ( ( < [ [\nThought 13: { ; stack: < { ( [ [ ( ( < [ [ {\nThought 14: } ; stack: < { ( [ [ ( ( < [ [\nThought 15: ] ; stack: < { ( [ [ ( ( <\nThought 16: ] ; stack: < { ( [ [ (\nThought 17: ) ; stack: < { ( [ [\nThought 18: ) ; stack: < { ( [\nThought 19: ] ; stack: < { (\nThought 20: ] ; stack: < {\nThought 21: > ; stack: <\nThought 22: [ ; stack: [\nThought 23: ( ; stack: [ (\nThought 24: < ; stack: [ ( <\nThought 25: < ; stack: [ ( < <\nThought 26: [ ; stack: [ ( < < [\nThought 27: [ ; stack: [ ( < < [ [\nThought 28: < ; stack: [ ( < < [ [ <\nThought 29: ] ; stack: [ ( < < [ [\nThought 30: ] ; stack: [ ( < <\nThought 31: > ; stack: [ ( <\nThought 32: ) ; stack: [ (\nThought 33: ) ; stack: [\nThought 34: { ; stack: {\nThought 35: < ; stack: { <\nThought 36: ( ; stack: { < (\nThought 37: { ; stack: { < ( {\nThought 38: } ; stack: { < (\nThought 39: ) ; stack: { <\nThought 40: ( ; stack: { (\nThought 41: [ ; stack: { ( [\nThought 42: { ; stack: { ( [ {\nThought 43: } ; stack: { ( [\nThought 44: { ; stack: { ( {\nThought 45: { ; stack: { ( { {\nThought 46: < ; stack: { ( { { <\nThought 47: ) ; stack: { ( { {\nThought 48: ) ; stack: { ( {\nThought 49: > ; stack: { (\nThought 50: } ; stack: {\nThought 51: Now, we have reached the end. The final stack is \"{\".\nThought 52: We will need to pop out \"{\" one by one in that order.\nThought 53: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:122", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( < > ) ] ( { [ ( { { < > } } ) [ ( ) ] ] { { [ ( ( [ { } < [ { < > } ] > [ [ { } ] ] ] ) ) [ ( ( ) ) ] < [ ] > ] } } } ) ( { { { ( [ [ ] [ < [ ( ( ) ) ] > ] ] ) }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: < ; stack: [ ( <\nThought 6: > ; stack: [ (\nThought 7: ) ; stack: [\nThought 8: ] ; stack: empty\nThought 9: ( ; stack: (\nThought 10: { ; stack: ( {\nThought 11: [ ; stack: ( { [\nThought 12: ( ; stack: ( { [ (\nThought 13: { ; stack: ( { [ ( {\nThought 14: { ; stack: ( { [ ( { {\nThought 15: < ; stack: ( { [ ( { { <\nThought 16: > ; stack: ( { [ ( { {\nThought 17: } ; stack: ( { [ ( {\nThought 18: } ; stack: ( { [ (\nThought 19: ) ; stack: ( { [\nThought 20: ] ; stack: ( {\nThought 21: ] ; stack: (\nThought 22: { ; stack: {\nThought 23: { ; stack: { {\nThought 24: [ ; stack: { { [\nThought 25: ( ; stack: { { [ (\nThought 26: { ; stack: { { [ ( {\nThought 27: { ; stack: { { [ ( { {\nThought 28: ) ; stack: { { [ ( {\nThought 29: } ; stack: { { [ (\nThought 30: } ; stack: { { [\nThought 31: ) ; stack: { {\nThought 32: } ; stack: empty\nThought 33: ( ; stack: (\nThought 34: { ; stack: ( {\nThought 35: { ; stack: ( { {\nThought 36: { ; stack: ( { { {\nThought 37: ( ; stack: ( { { { (\nThought 38: [ ; stack: ( { { { ( [\nThought 39: [ ; stack: ( { { { ( [ [\nThought 40: ] ; stack: ( { { { ( [\nThought 41: [ ; stack: ( { { { (\nThought 42: < ; stack: ( { { { <\nThought 43: [ ; stack: ( { { { < [\nThought 44: ( ; stack: ( { { { < [ (\nThought 45: ) ; stack: ( { { { < [\nThought 46: ] ; stack: ( { { { <\nThought 47: ] ; stack: ( { { {\nThought 48: } ; stack: ( { {\nThought 49: } ; stack: ( {\nThought 50: } ; stack: (\nThought 51: Now, we have reached the end. The final stack is \"( { { { ( [ [ ] [ < [ ( ( ) ) ] > ] ] ) }\".\nThought 52: We will need to pop out \") ] ] ] > ] ] ) }\" one by one in that order.\nThought 53: So, we need \") ] ] ] > ] ] ) }\". So the answer is ) ] ] ] > ] ] ) }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:123", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( { [ < < > > [ < < { } > > ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: { ; stack: [ ( {\nThought 6: [ ; stack: [ ( { [\nThought 7: < ; stack: [ ( { [ <\nThought 8: < ; stack: [ ( { [ < <\nThought 9: > ; stack: [ ( { [ <\nThought 10: > ; stack: [ ( { [\nThought 11: [ ; stack: [ ( { [ [\nThought 12: < ; stack: [ ( { [ [ <\nThought 13: < ; stack: [ ( { [ [ < <\nThought 14: { ; stack: [ ( { [ [ < < {\nThought 15: } ; stack: [ ( { [ [ < <\nThought 16: > ; stack: [ ( { [ [ <\nThought 17: > ; stack: [ ( { [ [\nThought 18: ] ; stack: [ ( { [\nThought 19: ] ; stack: [ ( {\nThought 20: Now, we have reached the end. The final stack is \"[ ( {\".\nThought 21: We will need to pop out \"{\", \"(\", \"[\" one by one in that order.\nThought 22: So, we need \"}\", \")\", \"]\". So the answer is } ) ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:124", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( [ [ [ ( { ( ( < [ { < > } ] > { { [ ] } } ) ) } ( [ [ < > ] ] ) ) ] ] ] ) ( < > < [ ( ) ] > (\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: [ ; stack: ( [\nThought 5: [ ; stack: ( [ [\nThought 6: [ ; stack: ( [ [ [\nThought 7: ( ; stack: ( [ [ [ (\nThought 8: { ; stack: ( [ [ [ ( {\nThought 9: ( ; stack: ( [ [ [ ( { (\nThought 10: ( ; stack: ( [ [ [ ( { ( (\nThought 11: < ; stack: ( [ [ [ ( { ( ( <\nThought 12: [ ; stack: ( [ [ [ ( { ( ( < [\nThought 13: { ; stack: ( [ [ [ ( { ( ( < [ {\nThought 14: < ; stack: ( [ [ [ ( { ( ( < [ { <\nThought 15: > ; stack: ( [ [ [ ( { ( ( < [ { < >\nThought 16: } ; stack: ( [ [ [ ( { ( ( < [ {\nThought 17: ] ; stack: ( [ [ [ ( { ( ( < [\nThought 18: > ; stack: ( [ [ [ ( { ( ( <\nThought 19: { ; stack: ( [ [ [ ( { (\nThought 20: { ; stack: ( [ [ [ ( { {\nThought 21: [ ; stack: ( [ [ [ ( { { [\nThought 22: ] ; stack: ( [ [ [ ( { {\nThought 23: } ; stack: ( [ [ [ ( {\nThought 24: } ; stack: ( [ [ [ (\nThought 25: ) ; stack: ( [ [ [\nThought 26: ) ; stack: ( [ [\nThought 27: ] ; stack: ( [\nThought 28: ] ; stack: (\nThought 29: ) ; stack: empty\nThought 30: ( ; stack: (\nThought 31: < ; stack: ( <\nThought 32: > ; stack: (\nThought 33: < ; stack: ( <\nThought 34: [ ; stack: ( < [\nThought 35: ( ; stack: ( < [ (\nThought 36: ) ; stack: ( < [\nThought 37: ] ; stack: ( <\nThought 38: > ; stack: (\nThought 39: ( ; stack: (\nThought 40: Now, we have reached the end. The final stack is \"(\".\nThought 41: We will need to pop out \"(\" one by one in that order.\nThought 42: So, we need \")\". So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:125", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < ( [ [ { [ < { ( { } ) } > ] { [ { } < { } > ] } } ] ( ) ( [ { ( { } ) { ( { [ [ ( < < > > { [ ] } ) ] ] } ) } } ] ) ] ) ( [ { { } } ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: ( ; stack: < (\nThought 5: [ ; stack: < ( [\nThought 6: [ ; stack: < ( [ [\nThought 7: { ; stack: < ( [ [ {\nThought 8: [ ; stack: < ( [ [ { [\nThought 9: < ; stack: < ( [ [ { [ <\nThought 10: { ; stack: < ( [ [ { [ < {\nThought 11: ( ; stack: < ( [ [ { [ < { (\nThought 12: { ; stack: < ( [ [ { [ < { ( {\nThought 13: } ; stack: < ( [ [ { [ < { (\nThought 14: ) ; stack: < ( [ [ { [ < {\nThought 15: } ; stack: < ( [ [ { [ <\nThought 16: > ; stack: < ( [ [ { [\nThought 17: ] ; stack: < ( [ [ {\nThought 18: { ; stack: < ( [ [ { {\nThought 19: [ ; stack: < ( [ [ { { [\nThought 20: { ; stack: < ( [ [ { { [ {\nThought 21: } ; stack: < ( [ [ { { [\nThought 22: < ; stack: < ( [ [ { { <\nThought 23: { ; stack: < ( [ [ { { < {\nThought 24: } ; stack: < ( [ [ { { <\nThought 25: > ; stack: < ( [ [ { {\nThought 26: ] ; stack: < ( [ [ {\nThought 27: } ; stack: < ( [ [\nThought 28: ) ; stack: < ( [\nThought 29: ( ; stack: < (\nThought 30: [ ; stack: < ( [\nThought 31: { ; stack: < ( [ {\nThought 32: ( ; stack: < ( [ { (\nThought 33: { ; stack: < ( [ { ( {\nThought 34: } ; stack: < ( [ { (\nThought 35: ) ; stack: < ( [ {\nThought 36: { ; stack: < ( [ { {\nThought 37: ( ; stack: < ( [ { { (\nThought 38: { ; stack: < ( [ { { ( {\nThought 39: [ ; stack: < ( [ { { ( { [\nThought 40: [ ; stack: < ( [ { { ( { [ [\nThought 41: ( ; stack: < ( [ { { ( { [ [ (\nThought 42: < ; stack: < ( [ { { ( { [ [ ( <\nThought 43: < ; stack: < ( [ { { ( { [ [ ( < <\nThought 44: > ; stack: < ( [ { { ( { [ [ ( <\nThought 45: > ; stack: < ( [ { { ( { [ [ (\nThought 46: } ; stack: < ( [ { { ( { [ [\nThought 47: } ; stack: < ( [ { { ( {\nThought 48: ] ; stack: < ( [ { {\nThought 49: ) ; stack: < ( [ {\nThought 50: ] ; stack: < ( [\nThought 51: ) ; stack: < (\nThought 52: ( ; stack: (\nThought 53: [ ; stack: ( [\nThought 54: { ; stack: ( [ {\nThought 55: { ; stack: ( [ { {\nThought 56: } ; stack: ( [ {\nThought 57: } ; stack: ( [\nThought 58: ) ; stack: (\nThought 59: Now, we have reached the end. The final stack is \"( [ { {\".\nThought 60: We will need to pop out \"{\", \"[\", \"(\" one by one in that order.\nThought 61: So, we need \"}\", \"]\", \")\". So the answer is } ] )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:128", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { { [ [ < ( ) > ] ] } } [ < [ < < ( ) ( [ { [ { ( ( < > ) ) } ] } ] ) > > ] > ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: { ; stack: [ { {\nThought 6: [ ; stack: [ { { [\nThought 7: [ ; stack: [ { { [ [\nThought 8: < ; stack: [ { { [ [ <\nThought 9: ( ; stack: [ { { [ [ < (\nThought 10: ) ; stack: [ { { [ [ <\nThought 11: > ; stack: [ { { [ [\nThought 12: ] ; stack: [ { { [\nThought 13: ] ; stack: [ { {\nThought 14: } ; stack: [ {\nThought 15: } ; stack: [\nThought 16: [ ; stack: [ [\nThought 17: < ; stack: [ [ <\nThought 18: [ ; stack: [ [ < [\nThought 19: < ; stack: [ [ < [ <\nThought 20: ( ; stack: [ [ < [ < (\nThought 21: ( ; stack: [ [ < [ < ( (\nThought 22: [ ; stack: [ [ < [ < ( ( [\nThought 23: { ; stack: [ [ < [ < ( ( [ {\nThought 24: { ; stack: [ [ < [ < ( ( [ { {\nThought 25: ( ; stack: [ [ < [ < ( ( [ { { (\nThought 26: ( ; stack: [ [ < [ < ( ( [ { { ( (\nThought 27: < ; stack: [ [ < [ < ( ( [ { { ( ( <\nThought 28: > ; stack: [ [ < [ < ( ( [ { { ( (\nThought 29: ) ; stack: [ [ < [ < ( ( [ { {\nThought 30: ) ; stack: [ [ < [ < ( ( [ {\nThought 31: } ; stack: [ [ < [ < ( ( [\nThought 32: } ; stack: [ [ < [ < (\nThought 33: ) ; stack: [ [ < [ <\nThought 34: > ; stack: [ [ < [\nThought 35: > ; stack: [ [ <\nThought 36: ] ; stack: [ [\nThought 37: ] ; stack: [\nThought 38: Now, we have reached the end. The final stack is \"[\".\nThought 39: We will need to pop out \"[\" one by one in that order.\nThought 40: So, we need \"]\". So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:130", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ [ ] < [ { [ { ( { ( ( { < [ ( ( < > ) ) ] > } ) ) < < { < ( { ( [ [ ] ] ) } ) > } > > } ( { [ [ ( [ ( ) ] < { } > { } ) ] ] } [ < { [ ] } > < ( ) > ] [ ( ) ] ) ) } ] } ] > ] [\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: [ ; stack: [ [\nThought 5: ] ; stack: [\nThought 6: < ; stack: <\nThought 7: [ ; stack: < [\nThought 8: { ; stack: < [ {\nThought 9: { ; stack: < [ { {\nThought 10: ( ; stack: < [ { { (\nThought 11: { ; stack: < [ { { ( {\nThought 12: ( ; stack: < [ { { ( { (\nThought 13: { ; stack: < [ { { ( { ( {\nThought 14: < ; stack: < [ { { ( { ( { <\nThought 15: [ ; stack: < [ { { ( { ( { < [\nThought 16: ( ; stack: < [ { { ( { ( { < [ (\nThought 17: ( ; stack: < [ { { ( { ( { < [ ( (\nThought 18: < ; stack: < [ { { ( { ( { < [ ( ( <\nThought 19: > ; stack: < [ { { ( { ( { < [ ( ( >\nThought 20: ) ; stack: < [ { { ( { ( { < [ (\nThought 21: ) ; stack: < [ { { ( { ( { < [\nThought 22: ] ; stack: < [ { { ( { ( {\nThought 23: > ; stack: < [ { { ( {\nThought 24: } ; stack: < [ { {\nThought 25: ) ; stack: < [ {\nThought 26: < ; stack: < [ { <\nThought 27: { ; stack: < [ { < {\nThought 28: ( ; stack: < [ { < { (\nThought 29: { ; stack: < [ { < { ( {\nThought 30: [ ; stack: < [ { < { ( { [\nThought 31: ] ; stack: < [ { < { ( {\nThought 32: ) ; stack: < [ { < {\nThought 33: ) ; stack: < [ {\nThought 34: > ; stack: < [\nThought 35: } ; stack: <\nThought 36: ] ; stack: empty\nThought 37: Now, we have reached the end. The final stack is empty.\nThought 38: So the answer is ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:132", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < { [ { < [ ( ( { } ) ) ] > } ] { { { ( ( { } ) ) } } } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: { ; stack: ( < {\nThought 6: [ ; stack: ( < { [\nThought 7: { ; stack: ( < { [ {\nThought 8: < ; stack: ( < { [ { <\nThought 9: [ ; stack: ( < { [ { < [\nThought 10: ( ; stack: ( < { [ { < [ (\nThought 11: ( ; stack: ( < { [ { < [ ( (\nThought 12: { ; stack: ( < { [ { < [ ( ( {\nThought 13: } ; stack: ( < { [ { < [ ( (\nThought 14: ) ; stack: ( < { [ { < [ (\nThought 15: ) ; stack: ( < { [ { < [\nThought 16: ] ; stack: ( < { [ { <\nThought 17: > ; stack: ( < { [ {\nThought 18: } ; stack: ( < { [\nThought 19: ] ; stack: ( < {\nThought 20: { ; stack: ( <\nThought 21: { ; stack: (\nThought 22: { ; stack: {\nThought 23: { ; stack: { {\nThought 24: ( ; stack: { { (\nThought 25: ( ; stack: { { ( (\nThought 26: { ; stack: { { ( ( {\nThought 27: } ; stack: { { ( (\nThought 28: ) ; stack: { { (\nThought 29: ) ; stack: { {\nThought 30: } ; stack: {\nThought 31: } ; stack: empty\nThought 32: Now, we have reached the end. The final stack is empty.\nThought 33: So the answer is ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:133", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( { < ( ) > [ ( < ( ( { } ) ) > ) ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: { ; stack: ( {\nThought 5: < ; stack: ( { <\nThought 6: ( ; stack: ( { < (\nThought 7: ) ; stack: ( { <\nThought 8: > ; stack: ( {\nThought 9: [ ; stack: ( { [\nThought 10: ( ; stack: ( { [ (\nThought 11: < ; stack: ( { [ ( <\nThought 12: ( ; stack: ( { [ ( < (\nThought 13: ( ; stack: ( { [ ( < ( (\nThought 14: { ; stack: ( { [ ( < ( ( {\nThought 15: } ; stack: ( { [ ( < ( (\nThought 16: ) ; stack: ( { [ ( < (\nThought 17: ) ; stack: ( { [ ( <\nThought 18: > ; stack: ( { [ (\nThought 19: ) ; stack: ( { [\nThought 20: ] ; stack: ( {\nThought 21: Now, we have reached the end. The final stack is \"( {\".\nThought 22: We will need to pop out \"{\" and \"(\" one by one in that order.\nThought 23: So, we need \"}\" and \")\". So the answer is } )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:134", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < { < { [ ( < > < { < ( ) > } > ) ] } > < [ ] ( [ < > ( < > { [ ] } ) < ( ) > < [ [ < < > [ ] > ] ] > { } < > ] ) > ( ( ) ) } [ < ( < ( ( ) [ ] ) > ) > ] >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: { ; stack: [ < {\nThought 6: { ; stack: [ < { {\nThought 7: [ ; stack: [ < { { [\nThought 8: ( ; stack: [ < { { [ (\nThought 9: < ; stack: [ < { { [ ( <\nThought 10: > ; stack: [ < { { [ ( < >\nThought 11: < ; stack: [ < { { [ ( < > <\nThought 12: { ; stack: [ < { { [ ( < > < {\nThought 13: < ; stack: [ < { { [ ( < > < { <\nThought 14: ( ; stack: [ < { { [ ( < > < { < (\nThought 15: ) ; stack: [ < { { [ ( < > < { <\nThought 16: > ; stack: [ < { { [ ( < > < {\nThought 17: } ; stack: [ < { { [ ( < > <\nThought 18: > ; stack: [ < { { [ ( < >\nThought 19: ) ; stack: [ < { { [ (\nThought 20: ] ; stack: [ < { { [\nThought 21: } ; stack: [ < { {\nThought 22: > ; stack: [ < {\nThought 23: < ; stack: [ <\nThought 24: [ ; stack: [ [\nThought 25: ] ; stack: [\nThought 26: ( ; stack: (\nThought 27: [ ; stack: ( [\nThought 28: < ; stack: ( [ <\nThought 29: > ; stack: ( [ < >\nThought 30: ( ; stack: ( [ < > (\nThought 31: < ; stack: ( [ < > ( <\nThought 32: > ; stack: ( [ < > ( < >\nThought 33: { ; stack: ( [ < > ( < > {\nThought 34: [ ; stack: ( [ < > ( < > { [\nThought 35: ] ; stack: ( [ < > ( < > {\nThought 36: } ; stack: ( [ < > ( < >\nThought 37: < ; stack: ( [ < > ( <\nThought 38: > ; stack: ( [ < > (\nThought 39: ) ; stack: ( [ < >\nThought 40: < ; stack: ( [ <\nThought 41: ( ; stack: ( [\nThought 42: ) ; stack: (\nThought 43: } ; stack: empty\nThought 44: [ ; stack: [\nThought 45: < ; stack: [ <\nThought 46: ( ; stack: [ < (\nThought 47: ( ; stack: [ < ( (\nThought 48: ( ; stack: [ < ( ( (\nThought 49: ) ; stack: [ < ( (\nThought 50: ) ; stack: [ < (\nThought 51: ) ; stack: [ <\nThought 52: ] ; stack: [\nThought 53: > ; stack: empty\nThought 54: ; stack: empty\nThought 55: Now, we have reached the end. The final stack is empty.\nThought 56: So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:135", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { { { < > } } < > < { { ( ) } } > { } } { < ( { [ < > ] [ ( ) < ( ) > { < ( ( ( ) ) ) > [ ] } ] < > ( < { } > ) }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: { ; stack: { {\nThought 5: { ; stack: { { {\nThought 6: < ; stack: { { { <\nThought 7: > ; stack: { { {\nThought 8: } ; stack: { {\nThought 9: } ; stack: {\nThought 10: < ; stack: <\nThought 11: > ; stack: empty\nThought 12: < ; stack: <\nThought 13: { ; stack: < {\nThought 14: { ; stack: < { {\nThought 15: ( ; stack: < { { (\nThought 16: ) ; stack: < { {\nThought 17: } ; stack: < {\nThought 18: } ; stack: <\nThought 19: } ; stack: empty\nThought 20: { ; stack: {\nThought 21: { ; stack: { {\nThought 22: { ; stack: { { {\nThought 23: < ; stack: { { { <\nThought 24: ( ; stack: { { { < (\nThought 25: { ; stack: { { { < ( {\nThought 26: [ ; stack: { { { < ( { [\nThought 27: < ; stack: { { { < ( { [ <\nThought 28: > ; stack: { { { < ( { [\nThought 29: ] ; stack: { { { < ( {\nThought 30: [ ; stack: { { { < ( { [\nThought 31: ( ; stack: { { { < ( { [ (\nThought 32: ) ; stack: { { { < ( { [\nThought 33: < ; stack: { { { < ( {\nThought 34: ( ; stack: { { { < (\nThought 35: < ; stack: { { { <\nThought 36: { ; stack: { { {\nThought 37: > ; stack: { {\nThought 38: ) ; stack: {\nThought 39: } ; stack: empty\nThought 40: Now, we have reached the end. The final stack is \"{\".\nThought 41: We will need to pop out \"{\" one by one in that order.\nThought 42: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:136", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( < { { } } [ ] [ [ ( { } ) ] ] [ { } ] > ) ) { [ < > [ { { [ < { } > ] } { < [ < { } > ] > } } [ ( ( ) ) ] ] ] } < > < > < < > > [ [ ] ] {\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: < ; stack: ( ( <\nThought 6: { ; stack: ( ( < {\nThought 7: { ; stack: ( ( < { {\nThought 8: } ; stack: ( ( < {\nThought 9: } ; stack: ( ( <\nThought 10: [ ; stack: ( ( [\nThought 11: ] ; stack: ( (\nThought 12: [ ; stack: ( [\nThought 13: [ ; stack: ( [ [\nThought 14: ( ; stack: ( [ [ (\nThought 15: { ; stack: ( [ [ ( {\nThought 16: } ; stack: ( [ [ (\nThought 17: ) ; stack: ( [ [\nThought 18: ] ; stack: ( [\nThought 19: ] ; stack: (\nThought 20: { ; stack: {\nThought 21: [ ; stack: { [\nThought 22: < ; stack: { [ <\nThought 23: > ; stack: { [\nThought 24: [ ; stack: { [ [\nThought 25: { ; stack: { [ [ {\nThought 26: { ; stack: { [ [ { {\nThought 27: [ ; stack: { [ [ { [\nThought 28: < ; stack: { [ [ { [ <\nThought 29: { ; stack: { [ [ { [ < {\nThought 30: } ; stack: { [ [ { [ <\nThought 31: > ; stack: { [ [ { [\nThought 32: } ; stack: { [ [ {\nThought 33: } ; stack: { [ [\nThought 34: [ ; stack: { [\nThought 35: ( ; stack: { [ (\nThought 36: ( ; stack: { [ ( (\nThought 37: ) ; stack: { [ (\nThought 38: ) ; stack: { [\nThought 39: ] ; stack: {\nThought 40: < ; stack: <\nThought 41: > ; stack: empty\nThought 42: < ; stack: <\nThought 43: > ; stack: empty\nThought 44: < ; stack: <\nThought 45: < ; stack: < <\nThought 46: > ; stack: <\nThought 47: > ; stack: empty\nThought 48: [ ; stack: [\nThought 49: [ ; stack: [ [\nThought 50: ] ; stack: [\nThought 51: ] ; stack: empty\nThought 52: { ; stack: {\nThought 53: Now, we have reached the end. The final stack is \"{\".\nThought 54: We will need to pop out \"{\" one by one in that order.\nThought 55: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:137", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < > { { } } ( [ { [ [ ( { } [ ( < < { } > [ < > ] > ) < < { [ [ { } ( { } ) ] ] } > > ] ) ] ] }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: > ; stack: empty\nThought 6: { ; stack: {\nThought 7: { ; stack: { {\nThought 8: } ; stack: {\nThought 9: } ; stack: empty\nThought 10: ( ; stack: (\nThought 11: [ ; stack: ( [\nThought 12: { ; stack: ( [ {\nThought 13: [ ; stack: ( [ { [\nThought 14: [ ; stack: ( [ { [ [\nThought 15: ( ; stack: ( [ { [ [ (\nThought 16: { ; stack: ( [ { [ [ ( {\nThought 17: } ; stack: ( [ { [ [ (\nThought 18: [ ; stack: ( [ { [ [ (\nThought 19: ( ; stack: ( [ { [ [ ( (\nThought 20: < ; stack: ( [ { [ [ ( ( <\nThought 21: < ; stack: ( [ { [ [ ( ( < <\nThought 22: { ; stack: ( [ { [ [ ( ( < < {\nThought 23: } ; stack: ( [ { [ [ ( ( < <\nThought 24: > ; stack: ( [ { [ [ ( ( <\nThought 25: ] ; stack: ( [ { [ [ (\nThought 26: > ; stack: ( [ { [ [\nThought 27: ) ; stack: ( [ { [\nThought 28: < ; stack: ( [ { [ <\nThought 29: { ; stack: ( [ { < {\nThought 30: [ ; stack: ( [ { < { [\nThought 31: { ; stack: ( [ { < { [ {\nThought 32: } ; stack: ( [ { < { [\nThought 33: } ; stack: ( [ { <\nThought 34: ] ; stack: ( [ {\nThought 35: ] ; stack: ( [\nThought 36: ] ; stack: empty\nThought 37: } ; stack: empty\nThought 38: Now, we have reached the end. The final stack is empty.\nThought 39: So the answer is ) ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:140", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < ( ) ( < [ ] > ( ) < [ [ { } { < > } < > ] ] > ) [ ] > [ ( < { [ ] } [ ] ( { [ < > ] < < > > ( ( < { } > ) ) } ) [ [ [ < < < ( ( ) ) > > > ] < < { [ ] } > > ( [ < > ] ) ] ] > ) ] < >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: ( ; stack: ( < (\nThought 6: ) ; stack: ( <\nThought 7: ( ; stack: ( < (\nThought 8: < ; stack: ( < ( <\nThought 9: [ ; stack: ( < ( < [\nThought 10: ] ; stack: ( < ( <\nThought 11: > ; stack: ( < (\nThought 12: ) ; stack: ( <\nThought 13: ) ; stack: (\nThought 14: [ ; stack: [\nThought 15: ] ; stack: empty\nThought 16: > ; stack: empty\nThought 17: [ ; stack: [\nThought 18: ( ; stack: [ (\nThought 19: < ; stack: [ ( <\nThought 20: { ; stack: [ ( < {\nThought 21: [ ; stack: [ ( < { [\nThought 22: ] ; stack: [ ( < {\nThought 23: } ; stack: [ ( <\nThought 24: [ ; stack: [ (\nThought 25: ( ; stack: [ ( (\nThought 26: { ; stack: [ ( ( {\nThought 27: [ ; stack: [ ( ( { [\nThought 28: < ; stack: [ ( ( { [ <\nThought 29: > ; stack: [ ( ( { [\nThought 30: > ; stack: [ ( ( {\nThought 31: } ; stack: [ ( (\nThought 32: ) ; stack: [ (\nThought 33: ] ; stack: [\nThought 34: ] ; stack: empty\nThought 35: < ; stack: <\nThought 36: > ; stack: empty\nThought 37: Now, we have reached the end. The final stack is \"[< < >]\".\nThought 38: We will need to pop out \">\", \"<\", \"[\" one by one in that order.\nThought 39: So, we need \"]\", \"[\", \"]\". So the answer is ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:143", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( ) ) { ( ) { } { ( ) } < ( [ ] [ ] < [ < { } > [ ] < ( ) > ] > ) > [ [ < { < < [ < ( ) > ] > < ( ) > > } > ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: ) ; stack: (\nThought 6: ) ; stack: empty\nThought 7: { ; stack: {\nThought 8: ( ; stack: { (\nThought 9: ) ; stack: {\nThought 10: { ; stack: { {\nThought 11: } ; stack: {\nThought 12: { ; stack: { {\nThought 13: ( ; stack: { { (\nThought 14: ) ; stack: { {\nThought 15: } ; stack: {\nThought 16: } ; stack: empty\nThought 17: < ; stack: <\nThought 18: ( ; stack: < (\nThought 19: [ ; stack: < ( [\nThought 20: ] ; stack: < (\nThought 21: ] ; stack: <\nThought 22: < ; stack: < <\nThought 23: [ ; stack: < < [\nThought 24: < ; stack: < < [ <\nThought 25: { ; stack: < < [ < {\nThought 26: } ; stack: < < [ <\nThought 27: > ; stack: < < [\nThought 28: [ ; stack: < <\nThought 29: ] ; stack: <\nThought 30: > ; stack: >\nThought 31: ) ; stack: > )\nThought 32: > ; stack: > >\nThought 33: [ ; stack: > > [\nThought 34: [ ; stack: > > [ [\nThought 35: < ; stack: > > [ [ <\nThought 36: { ; stack: > > [ [ < {\nThought 37: < ; stack: > > [ [ < { <\nThought 38: [ ; stack: > > [ [ < { < [\nThought 39: < ; stack: > > [ [ < { < [ <\nThought 40: ( ; stack: > > [ [ < { < [ < (\nThought 41: ) ; stack: > > [ [ < { < [\nThought 42: > ; stack: > > [ [ < {\nThought 43: > ; stack: > > [ [\nThought 44: } ; stack: > > [\nThought 45: ] ; stack: > >\nThought 46: Now, we have reached the end. The final stack is \"> > [ [ < {\".\nThought 47: We will need to pop out \"{\", \"[\", \"[\", \">\" one by one in that order.\nThought 48: So, we need \"}\", \"]\", \"]\", \"<\". So the answer is } ] ] <\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:144", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( < [ ( < [ { } ] > [ ( [ < ( ) ( < > ) > ] ) ] [ ] ) ] > ) < < > > ( ( ) ) < > { { { { [ ( { } ) ] < ( ) > [ ( { [ ] } ) ] } } } [ ] } } < < > [ ( < > { [ ] } ) ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: < ; stack: { ( <\nThought 6: [ ; stack: { ( < [\nThought 7: ( ; stack: { ( < [ (\nThought 8: < ; stack: { ( < [ ( <\nThought 9: [ ; stack: { ( < [ ( < [\nThought 10: { ; stack: { ( < [ ( < [ {\nThought 11: } ; stack: { ( < [ ( < [\nThought 12: ] ; stack: { ( < [ ( <\nThought 13: > ; stack: { ( < [ (\nThought 14: ] ; stack: { ( < [\nThought 15: ] ; stack: { ( <\nThought 16: ) ; stack: { (\nThought 17: > ; stack: {\nThought 18: ) ; stack: empty\nThought 19: < ; stack: <\nThought 20: < ; stack: < <\nThought 21: > ; stack: < < >\nThought 22: > ; stack: < < > >\nThought 23: ( ; stack: < < > > (\nThought 24: ( ; stack: < < > > ( (\nThought 25: ) ; stack: < < > > (\nThought 26: ) ; stack: < < > >\nThought 27: < ; stack: < < >\nThought 28: > ; stack: < <\nThought 29: < ; stack: <\nThought 30: { ; stack: < {\nThought 31: { ; stack: < { {\nThought 32: { ; stack: < { { {\nThought 33: { ; stack: < { { { {\nThought 34: [ ; stack: < { { { { [\nThought 35: ( ; stack: < { { { { [ (\nThought 36: { ; stack: < { { { { [ ( {\nThought 37: } ; stack: < { { { { [ (\nThought 38: ) ; stack: < { { { { [\nThought 39: ] ; stack: < { { { {\nThought 40: < ; stack: < { { {\nThought 41: ( ; stack: < { { { (\nThought 42: ) ; stack: < { {\nThought 43: > ; stack: < {\nThought 44: ] ; stack: <\nThought 45: } ; stack: empty\nThought 46: < ; stack: <\nThought 47: < ; stack: < <\nThought 48: > ; stack: < < >\nThought 49: [ ; stack: < < > [\nThought 50: ( ; stack: < < > [ (\nThought 51: < ; stack: < < > [ ( <\nThought 52: > ; stack: < < > [ ( < >\nThought 53: { ; stack: < < > [ ( < > {\nThought 54: [ ; stack: < < > [ ( < > { [\nThought 55: ] ; stack: < < > [ ( < > {\nThought 56: ) ; stack: < < > [ ( <\nThought 57: ] ; stack: < < > [ (\nThought 58: ) ; stack: < < > [\nThought 59: ] ; stack: < <\nThought 60: ] ; stack: <\nThought 61: ) ; stack: empty\nThought 62: So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:146", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < [ { ( ) } { } [ [ { { } } ( { { < > } } ( ) ( [ { < > } ] ) ) [ ] ] ] ] > < ( ) > { < [ ( ) ] < < > > > } [ < ( < { { [ ] } } > ) { } > ] { < > } ( )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: [ ; stack: ( < [\nThought 6: { ; stack: ( < [ {\nThought 7: ( ; stack: ( < [ { (\nThought 8: ) ; stack: ( < [ {\nThought 9: } ; stack: ( < [\nThought 10: } ; stack: ( <\nThought 11: { ; stack: ( < {\nThought 12: [ ; stack: ( < { [\nThought 13: [ ; stack: ( < { [ [\nThought 14: { ; stack: ( < { [ [ {\nThought 15: { ; stack: ( < { [ [ { {\nThought 16: } ; stack: ( < { [ [ {\nThought 17: } ; stack: ( < { [ [\nThought 18: ( ; stack: ( < { [ [ (\nThought 19: { ; stack: ( < { [ [ {\nThought 20: { ; stack: ( < { [ [ { {\nThought 21: < ; stack: ( < { [ [ { { <\nThought 22: > ; stack: ( < { [ [ { {\nThought 23: } ; stack: ( < { [ [ {\nThought 24: } ; stack: ( < { [ [\nThought 25: ) ; stack: ( < { [\nThought 26: ) ; stack: ( < {\nThought 27: ] ; stack: ( <\nThought 28: ] ; stack: (\nThought 29: > ; stack: empty\nThought 30: < ; stack: <\nThought 31: ( ; stack: < (\nThought 32: ) ; stack: empty\nThought 33: > ; stack: empty\nThought 34: { ; stack: {\nThought 35: < ; stack: { <\nThought 36: [ ; stack: { < [\nThought 37: ( ; stack: { < [ (\nThought 38: ) ; stack: { < [\nThought 39: ] ; stack: { <\nThought 40: < ; stack: { < <\nThought 41: > ; stack: { <\nThought 42: > ; stack: {\nThought 43: } ; stack: empty\nThought 44: [ ; stack: [\nThought 45: < ; stack: [ <\nThought 46: ( ; stack: [ < (\nThought 47: < ; stack: [ < ( <\nThought 48: { ; stack: [ < ( < {\nThought 49: { ; stack: [ < ( < { {\nThought 50: ] ; stack: [ < ( < {\nThought 51: } ; stack: [ < ( <\nThought 52: ) ; stack: [ <\nThought 53: > ; stack: [\nThought 54: } ; stack: empty\nThought 55: { ; stack: {\nThought 56: < ; stack: { <\nThought 57: > ; stack: {\nThought 58: } ; stack: empty\nThought 59: ( ; stack: (\nThought 60: ) ; stack: empty\nThought 61: Now, we have reached the end. The final stack is \"( { < > }\".\nThought 62: We will need to pop out \"}\", \"<\", \"{\" one by one in that order.\nThought 63: So, we need \"}\", \"<\", \"{\". So the answer is } < {\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:147", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { ( < > ) } ( { < > } ) [ ( < < > > ) { ( < ( ) [ [ < [ ] > ] { ( ) } [ [ ( { ( < > ) } ) ( { ( { } ) } { [ ( ) ] { ( ) } } ) ] ] [ < ( ) > ] { { } } ] > ) }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: ( ; stack: < { (\nThought 6: < ; stack: < { ( <\nThought 7: > ; stack: < { (\nThought 8: ) ; stack: < {\nThought 9: } ; stack: empty\nThought 10: ( ; stack: (\nThought 11: { ; stack: ( {\nThought 12: < ; stack: ( { <\nThought 13: > ; stack: ( {\nThought 14: } ; stack: (\nThought 15: ) ; stack: empty\nThought 16: [ ; stack: [\nThought 17: ( ; stack: [ (\nThought 18: < ; stack: [ ( <\nThought 19: < ; stack: [ ( < <\nThought 20: > ; stack: [ ( <\nThought 21: > ; stack: [ (\nThought 22: ) ; stack: [\nThought 23: { ; stack: [ {\nThought 24: ( ; stack: [ { (\nThought 25: < ; stack: [ { ( <\nThought 26: ( ; stack: [ { ( < (\nThought 27: [ ; stack: [ { ( < ( [\nThought 28: [ ; stack: [ { ( < ( [ [\nThought 29: < ; stack: [ { ( < ( [ [ <\nThought 30: ] ; stack: [ { ( < ( [ [\nThought 31: ] ; stack: [ { ( < ( [\nThought 32: { ; stack: [ { ( < (\nThought 33: ( ; stack: [ { ( <\nThought 34: ) ; stack: [ { (\nThought 35: ] ; stack: [ {\nThought 36: ] ; stack: [\nThought 37: [ ; stack: [\nThought 38: ( ; stack: [ (\nThought 39: { ; stack: [ ( {\nThought 40: ( ; stack: [ ( { (\nThought 41: < ; stack: [ ( { ( <\nThought 42: > ; stack: [ ( { (\nThought 43: ) ; stack: [ ( {\nThought 44: ) ; stack: [ (\nThought 45: ] ; stack: [\nThought 46: [ ; stack: [\nThought 47: < ; stack: [ <\nThought 48: ( ; stack: [ < (\nThought 49: ) ; stack: [ <\nThought 50: > ; stack: [\nThought 51: ] ; stack: empty\nThought 52: { ; stack: {\nThought 53: { ; stack: { {\nThought 54: } ; stack: {\nThought 55: } ; stack: empty\nThought 56: Now, we have reached the end. The final stack is \"{\".\nThought 57: We will need to pop out \"{\" one by one in that order.\nThought 58: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:148", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < > ( [ < [ ( ( [ [ ] ] < { ( { < > } [ { < ( ) > [ < < > > ] < { [ < [ ( ( < ( [ < < > > ] ) > ) ) ] > ] } { [ [ ( ) { < { } > } ] ] } [ ] > } ] ) } > ) ) ] > ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: > ; stack: empty\nThought 6: ( ; stack: (\nThought 7: [ ; stack: ( [\nThought 8: < ; stack: ( [ <\nThought 9: [ ; stack: ( [ [\nThought 10: ( ; stack: ( [ [ (\nThought 11: [ ; stack: ( [ [ [\nThought 12: ] ; stack: ( [ [\nThought 13: ] ; stack: ( [\nThought 14: < ; stack: ( <\nThought 15: { ; stack: ( < {\nThought 16: ( ; stack: ( < { (\nThought 17: { ; stack: ( < { {\nThought 18: < ; stack: ( < { { <\nThought 19: > ; stack: ( < { {\nThought 20: } ; stack: ( < {\nThought 21: } ; stack: ( <\nThought 22: [ ; stack: ( [\nThought 23: { ; stack: ( [ {\nThought 24: < ; stack: ( [ { <\nThought 25: ( ; stack: ( [ { < (\nThought 26: ) ; stack: ( [ { <\nThought 27: > ; stack: ( [ {\nThought 28: [ ; stack: ( [\nThought 29: < ; stack: ( [ <\nThought 30: < ; stack: ( [ < <\nThought 31: > ; stack: ( [ <\nThought 32: ] ; stack: ( [\nThought 33: < ; stack: ( <\nThought 34: { ; stack: ( < {\nThought 35: [ ; stack: ( < { [\nThought 36: < ; stack: ( < { [ <\nThought 37: [ ; stack: ( < { [ [\nThought 38: ( ; stack: ( < { [ [ (\nThought 39: < ; stack: ( < { [ [ ( <\nThought 40: ( ; stack: ( < { [ [ ( (\nThought 41: [ ; stack: ( < { [ [ ( ( [\nThought 42: < ; stack: ( < { [ [ ( ( [ <\nThought 43: > ; stack: ( < { [ [ ( ( [\nThought 44: ) ; stack: ( < { [ [ (\nThought 45: ) ; stack: ( < { [ [\nThought 46: ] ; stack: ( < { [\nThought 47: ] ; stack: ( < {\nThought 48: } ; stack: ( <\nThought 49: ) ; stack: (\nThought 50: ] ; stack: ]\nThought 51: > ; stack: empty\nThought 52: ) ; stack: empty\nThought 53: Now, we have reached the end. The final stack is empty.\nThought 54: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:150", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: < { ( { } ) < > }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: < ; stack: <\nThought 4: { ; stack: < {\nThought 5: ( ; stack: < { (\nThought 6: { ; stack: < { ( {\nThought 7: } ; stack: < { (\nThought 8: ) ; stack: < {\nThought 9: < ; stack: < { <\nThought 10: > ; stack: < {\nThought 11: } ; stack: empty\nThought 12: Now, we have reached the end. The final stack is empty.\nThought 13: So the answer is > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:153", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < > [ { [ [ ( [ ] ) [ < ( < > ) { [ ( { ( [ ( ( < ( ( < [ ] { < > } > [ ] ) ) > ) [ { } ] ) ] ) } ) ] } > ] ] ] } [ ] ] ) < [\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: > ; stack: empty\nThought 6: [ ; stack: [\nThought 7: { ; stack: [ {\nThought 8: [ ; stack: [ { [\nThought 9: [ ; stack: [ { [ [\nThought 10: ( ; stack: [ { [ [ (\nThought 11: [ ; stack: [ { [ [ ( [\nThought 12: ] ; stack: [ { [ [ (\nThought 13: ) ; stack: [ { [ [\nThought 14: [ ; stack: [ { [ [ [\nThought 15: < ; stack: [ { [ [ [ <\nThought 16: ( ; stack: [ { [ [ [ < (\nThought 17: < ; stack: [ { [ [ [ < ( <\nThought 18: > ; stack: [ { [ [ [ < (\nThought 19: ) ; stack: [ { [ [ [ <\nThought 20: { ; stack: [ { [ [ [ {\nThought 21: [ ; stack: [ { [ [ [ { [\nThought 22: ( ; stack: [ { [ [ [ { [ (\nThought 23: { ; stack: [ { [ [ [ { [ ( {\nThought 24: ( ; stack: [ { [ [ [ { [ ( { (\nThought 25: [ ; stack: [ { [ [ [ { [ ( { ( [\nThought 26: ( ; stack: [ { [ [ [ { [ ( { ( [ (\nThought 27: < ; stack: [ { [ [ [ { [ ( { ( [ ( <\nThought 28: ( ; stack: [ { [ [ [ { [ ( { ( [ ( < (\nThought 29: < ; stack: [ { [ [ [ { [ ( { ( [ ( < ( <\nThought 30: [ ; stack: [ { [ [ [ { [ ( { ( [ ( < ( < [\nThought 31: ] ; stack: [ { [ [ [ { [ ( { ( [ ( < ( <\nThought 32: { ; stack: [ { [ [ [ { [ ( { ( [ ( < ( < {\nThought 33: < ; stack: [ { [ [ [ { [ ( { ( [ ( < ( < { <\nThought 34: > ; stack: [ { [ [ [ { [ ( { ( [ ( < ( < {\nThought 35: ] ; stack: [ { [ [ [ { [ ( { ( [ ( < ( <\nThought 36: ) ; stack: [ { [ [ [ { [ ( { ( [ ( <\nThought 37: ) ; stack: [ { [ [ [ { [ ( { ( [\nThought 38: ] ; stack: [ { [ [ [ { [ ( { (\nThought 39: ) ; stack: [ { [ [ [ { [ ( {\nThought 40: ] ; stack: [ { [ [ [ { [ (\nThought 41: ) ; stack: [ { [ [ [ {\nThought 42: ] ; stack: [ { [ [ [\nThought 43: ] ; stack: [ { [ [\nThought 44: } ; stack: [ { [\nThought 45: > ; stack: [ {\nThought 46: ] ; stack: [\nThought 47: ] ; stack: empty\nThought 48: ) ; stack: empty\nThought 49: < ; stack: <\nThought 50: [ ; stack: < [\nThought 51: Now, we have reached the end. The final stack is \"< [ \".\nThought 52: We will need to pop out \"[\" one by one in that order.\nThought 53: So, we need \"]\". So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:154", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { { } } ] ( < { < [ ( ( ) ) ] > } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: { ; stack: [ { {\nThought 6: } ; stack: [ {\nThought 7: } ; stack: [\nThought 8: ] ; stack: empty\nThought 9: ( ; stack: (\nThought 10: < ; stack: ( <\nThought 11: { ; stack: ( < {\nThought 12: < ; stack: ( < { <\nThought 13: [ ; stack: ( < { < [\nThought 14: ( ; stack: ( < { < [ (\nThought 15: ( ; stack: ( < { < [ ( (\nThought 16: ) ; stack: ( < { < [ (\nThought 17: ) ; stack: ( < { < [\nThought 18: ] ; stack: ( < { <\nThought 19: > ; stack: ( < {\nThought 20: } ; stack: ( <\nThought 21: > ; stack: (\nThought 22: Now, we have reached the end. The final stack is \"(\".\nThought 23: We will need to pop out \"(\" one by one in that order.\nThought 24: So, we need \")\". So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:155", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ( < < > ( ) ( ( ) ) > { } < < [ { } ] < [ ] > > > < < < > < { { < < > > } } > [ [ ] ( { < { } > [ ] { } } ) { < < [ < [ ] > ] > > [ ( ( ) ) ] } ] > > ( { ( < < ( ) > > ) } ) { } [ { { } } ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ( ; stack: ( (\nThought 5: < ; stack: ( ( <\nThought 6: < ; stack: ( ( < <\nThought 7: > ; stack: ( ( <\nThought 8: ( ; stack: ( (\nThought 9: ) ; stack: (\nThought 10: ( ; stack: ( (\nThought 11: ) ; stack: (\nThought 12: ) ; stack: empty\nThought 13: > ; stack: empty\nThought 14: { ; stack: {\nThought 15: } ; stack: empty\nThought 16: < ; stack: <\nThought 17: < ; stack: < <\nThought 18: [ ; stack: < < [\nThought 19: { ; stack: < < [ {\nThought 20: } ; stack: < < [\nThought 21: ] ; stack: < <\nThought 22: < ; stack: <\nThought 23: [ ; stack: < [\nThought 24: ] ; stack: <\nThought 25: > ; stack: <\nThought 26: > ; stack: empty\nThought 27: < ; stack: <\nThought 28: < ; stack: < <\nThought 29: { ; stack: < < {\nThought 30: { ; stack: < < { {\nThought 31: < ; stack: < < { { <\nThought 32: < ; stack: < < { { < <\nThought 33: > ; stack: < < { { <\nThought 34: > ; stack: < < { {\nThought 35: } ; stack: < < {\nThought 36: } ; stack: < <\nThought 37: > ; stack: <\nThought 38: [ ; stack: < [\nThought 39: [ ; stack: < [ [\nThought 40: ] ; stack: < [\nThought 41: ( ; stack: < (\nThought 42: { ; stack: < ( {\nThought 43: < ; stack: < ( { <\nThought 44: { ; stack: < ( { {\nThought 45: } ; stack: < ( {\nThought 46: } ; stack: < (\nThought 47: ) ; stack: <\nThought 48: { ; stack: {\nThought 49: < ; stack: { <\nThought 50: < ; stack: { < <\nThought 51: [ ; stack: { < < [\nThought 52: [ ; stack: { < < [ [\nThought 53: ] ; stack: { < < [\nThought 54: ] ; stack: { < <\nThought 55: > ; stack: { <\nThought 56: [ ; stack: { < [\nThought 57: ( ; stack: { < [ (\nThought 58: ( ; stack: { < [ ( (\nThought 59: ) ; stack: { < [ (\nThought 60: ] ; stack: { < [\nThought 61: ] ; stack: { <\nThought 62: > ; stack: {\nThought 63: ( ; stack: { (\nThought 64: { ; stack: { ( {\nThought 65: ( ; stack: { ( { (\nThought 66: < ; stack: { ( { ( <\nThought 67: > ; stack: { ( { (\nThought 68: ) ; stack: { ( {\nThought 69: } ; stack: { (\nThought 70: } ; stack: {\nThought 71: [ ; stack: { [\nThought 72: { ; stack: { [ {\nThought 73: } ; stack: { [\nThought 74: ] ; stack: {\nThought 75: ] ; stack: empty\nThought 76: So the answer is ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:156", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ ( ) ( < ( [ ( ) ] ) { ( < > ) < { [ ( ( < ( { } { < > } ) > ) ) ] } { { { } } } > } [ < { { } } > ] > )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: ( ; stack: [ (\nThought 5: ) ; stack: [\nThought 6: ( ; stack: [ (\nThought 7: < ; stack: [ ( <\nThought 8: ( ; stack: [ ( < (\nThought 9: [ ; stack: [ ( < ( [\nThought 10: ( ; stack: [ ( < ( [ (\nThought 11: ) ; stack: [ ( < ( [\nThought 12: ] ; stack: [ ( < (\nThought 13: ) ; stack: [ ( <\nThought 14: { ; stack: [ ( {\nThought 15: ( ; stack: [ ( { (\nThought 16: < ; stack: [ ( { ( <\nThought 17: > ; stack: [ ( { (\nThought 18: ) ; stack: [ ( {\nThought 19: < ; stack: [ ( <\nThought 20: { ; stack: [ ( < {\nThought 21: [ ; stack: [ ( < { [\nThought 22: ( ; stack: [ ( < { [ (\nThought 23: ( ; stack: [ ( < { [ ( (\nThought 24: < ; stack: [ ( < { [ ( ( <\nThought 25: ( ; stack: [ ( < { [ ( ( < (\nThought 26: { ; stack: [ ( < { [ ( ( < ( {\nThought 27: } ; stack: [ ( < { [ ( ( < (\nThought 28: { ; stack: [ ( < { [ ( ( <\nThought 29: < ; stack: [ ( < { [ ( (\nThought 30: > ; stack: [ ( < { [ (\nThought 31: ) ; stack: [ ( < { [\nThought 32: ) ; stack: [ ( < {\nThought 33: } ; stack: [ ( <\nThought 34: } ; stack: [ (\nThought 35: { ; stack: [ {\nThought 36: [ ; stack: [ { [\nThought 37: < ; stack: [ { [ <\nThought 38: { ; stack: [ { [ < {\nThought 39: { ; stack: [ { [ < { {\nThought 40: } ; stack: [ { [ < {\nThought 41: } ; stack: [ { [ <\nThought 42: ] ; stack: [ { [\nThought 43: > ; stack: [ {\nThought 44: ) ; stack: [\nThought 45: Now, we have reached the end. The final stack is \"[\".\nThought 46: We will need to pop out \"[\" one by one in that order.\nThought 47: So, we need \"]\". So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:157", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( [ [ ] ] ) ( { ( { < { { < [ ] > [ { < < ( { < [ ] > } ) > < > > } < < < [ < { < > } > ] > > > ] [ { } < > ] } } > } [ { } ] ) < > } < > < { } > ( < [ ] > ) ( < [ < [ < > ] > [ ] ] >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: [ ; stack: { ( [\nThought 6: [ ; stack: { ( [ [\nThought 7: ] ; stack: { ( [\nThought 8: ] ; stack: { (\nThought 9: ) ; stack: {\nThought 10: ( ; stack: { (\nThought 11: { ; stack: { ( {\nThought 12: { ; stack: { ( { {\nThought 13: < ; stack: { ( { { <\nThought 14: { ; stack: { ( { { < {\nThought 15: < ; stack: { ( { { < { <\nThought 16: [ ; stack: { ( { { < { < [\nThought 17: ] ; stack: { ( { { < { <\nThought 18: > ; stack: { ( { { < {\nThought 19: [ ; stack: { ( { { < { [\nThought 20: { ; stack: { ( { { < { [ {\nThought 21: < ; stack: { ( { { < { [ { <\nThought 22: ( ; stack: { ( { { < { [ { < (\nThought 23: { ; stack: { ( { { < { [ { < ( {\nThought 24: < ; stack: { ( { { < { [ { < ( { <\nThought 25: [ ; stack: { ( { { < { [ { < ( {\nThought 26: ] ; stack: { ( { { < { [ { < (\nThought 27: > ; stack: { ( { { < { [ { <\nThought 28: } ; stack: { ( { { < { [ {\nThought 29: > ; stack: { ( { { < {\nThought 30: } ; stack: { ( { {\nThought 31: > ; stack: { ( {\nThought 32: } ; stack: { (\nThought 33: ] ; stack: {\nThought 34: ) ; stack: empty\nThought 35: < ; stack: <\nThought 36: > ; stack: empty\nThought 37: } ; stack: empty\nThought 38: < ; stack: <\nThought 39: > ; stack: empty\nThought 40: < ; stack: <\nThought 41: { ; stack: < {\nThought 42: > ; stack: <\nThought 43: ( ; stack: < (\nThought 44: < ; stack: < ( <\nThought 45: [ ; stack: < ( < [\nThought 46: ] ; stack: < ( <\nThought 47: ] ; stack: < (\nThought 48: ) ; stack: <\nThought 49: ( ; stack: <\nThought 50: < ; stack: < <\nThought 51: [ ; stack: < < [\nThought 52: < ; stack: < < [ <\nThought 53: [ ; stack: < < [ < [\nThought 54: ] ; stack: < < [ <\nThought 55: ] ; stack: < <\nThought 56: ] ; stack: <\nThought 57: > ; stack: empty\nThought 58: Now, we have reached the end. The final stack is empty.\nThought 59: We will need to pop out nothing.\nThought 60: So, we need nothing. So the answer is\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:164", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { { ( < < [ < [ { [ ( [ [ ( ) ( < { { ( ) } { [ ] } } { } > ) ] ( ) ] ) ] } ] > [ { [ { [ < > ] } ] } [ < [ ] > [ [ ] ] { ( ) ( ) } { [ [ < < > > [ ] ] ] } ] [ < < > > ( ) ] ] ] > > ( ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: { ; stack: [ { {\nThought 6: ( ; stack: [ { { (\nThought 7: < ; stack: [ { { ( <\nThought 8: < ; stack: [ { { ( < <\nThought 9: [ ; stack: [ { { ( < < [\nThought 10: < ; stack: [ { { ( < < [ <\nThought 11: [ ; stack: [ { { ( < < [ < [\nThought 12: { ; stack: [ { { ( < < [ < [ {\nThought 13: [ ; stack: [ { { ( < < [ < [ { [\nThought 14: ( ; stack: [ { { ( < < [ < [ { [ (\nThought 15: [ ; stack: [ { { ( < < [ < [ { [ ( [\nThought 16: [ ; stack: [ { { ( < < [ < [ { [ ( [ [\nThought 17: ( ; stack: [ { { ( < < [ < [ { [ ( [ [ (\nThought 18: ) ; stack: [ { { ( < < [ < [ { [ ( [ [\nThought 19: ( ; stack: [ { { ( < < [ < [ { [ ( [\nThought 20: < ; stack: [ { { ( < < [ < [ { [ (\nThought 21: { ; stack: [ { { ( < < [ < [ {\nThought 22: { ; stack: [ { { ( < < [ <\nThought 23: ( ; stack: [ { { ( < < [\nThought 24: ) ; stack: [ { { ( < <\nThought 25: ] ; stack: [ { { ( <\nThought 26: ) ; stack: [ { { (\nThought 27: ] ; stack: [ { {\nThought 28: ] ; stack: [ {\nThought 29: > ; stack: [\nThought 30: [ ; stack: [\nThought 31: { ; stack: [ {\nThought 32: { ; stack: [ { {\nThought 33: [ ; stack: [ { { [\nThought 34: < ; stack: [ { { [ <\nThought 35: > ; stack: [ { { [\nThought 36: ] ; stack: [ { {\nThought 37: } ; stack: [ {\nThought 38: } ; stack: [\nThought 39: [ ; stack: [\nThought 40: < ; stack: [ <\nThought 41: ] ; stack: [\nThought 42: > ; stack: empty\nThought 43: [ ; stack: [\nThought 44: [ ; stack: [ [\nThought 45: < ; stack: [ [ <\nThought 46: > ; stack: [ [\nThought 47: ] ; stack: [\nThought 48: ] ; stack: empty\nThought 49: ) ; stack: empty\nThought 50: ) ; stack: empty\nThought 51: Now, we have reached the end. The final stack is empty.\nThought 52: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:165", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { < { { } } > } { { [ < < { } > { < < < { { < > } } > > > { [ < ( < { } ( ( ) ) > ) > ] } < [ [ { ( [ { ( { } ) } ] ) } ] ] > } > ] } } [ { { } [ [ { } ] ] } ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: < ; stack: [ { <\nThought 6: { ; stack: [ { < {\nThought 7: { ; stack: [ { < { {\nThought 8: } ; stack: [ { < {\nThought 9: } ; stack: [ { <\nThought 10: } ; stack: [ {\nThought 11: { ; stack: [ { {\nThought 12: [ ; stack: [ { { [\nThought 13: < ; stack: [ { { [ <\nThought 14: < ; stack: [ { { [ < <\nThought 15: { ; stack: [ { { [ < < {\nThought 16: } ; stack: [ { { [ < <\nThought 17: < ; stack: [ { { [ < < <\nThought 18: < ; stack: [ { { [ < < < <\nThought 19: { ; stack: [ { { [ < < < < {\nThought 20: < ; stack: [ { { [ < < < < { <\nThought 21: > ; stack: [ { { [ < < < < {\nThought 22: } ; stack: [ { { [ < < <\nThought 23: } ; stack: [ { { [ < <\nThought 24: > ; stack: [ { { [ <\nThought 25: } ; stack: [ { { [\nThought 26: { ; stack: [ { {\nThought 27: [ ; stack: [ { { [\nThought 28: < ; stack: [ { { [ <\nThought 29: [ ; stack: [ { { [ < [\nThought 30: { ; stack: [ { { [ < [ {\nThought 31: ( ; stack: [ { { [ < [ { (\nThought 32: [ ; stack: [ { { [ < [ { ( [\nThought 33: { ; stack: [ { { [ < [ { ( [ {\nThought 34: ( ; stack: [ { { [ < [ { ( [ { (\nThought 35: { ; stack: [ { { [ < [ { ( [ { ( {\nThought 36: } ; stack: [ { { [ < [ { ( [ { (\nThought 37: ) ; stack: [ { { [ < [ { ( [ {\nThought 38: ) ; stack: [ { { [ < [ { (\nThought 39: ] ; stack: [ { { [ < [\nThought 40: ] ; stack: [ { { [\nThought 41: > ; stack: [ { {\nThought 42: } ; stack: [ {\nThought 43: } ; stack: [\nThought 44: [ ; stack: [\nThought 45: { ; stack: [ {\nThought 46: { ; stack: [ { {\nThought 47: } ; stack: [ {\nThought 48: [ ; stack: [ { [\nThought 49: [ ; stack: [ { [ [\nThought 50: } ; stack: [ { [\nThought 51: ] ; stack: [ {\nThought 52: ] ; stack: [\nThought 53: Now, we have reached the end. The final stack is \"[ { { [ [ { [ ]\".\nThought 54: We will need to pop out \"[\", \"[\", \"{\", \"{\", \"[\" one by one in that order.\nThought 55: So, we need \"]\", \"]\", \"}\", \"}\", \"]\". So the answer is ] ] } } ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:168", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( ) < < [ < < [ ( { } ) ] > [ ( < > ) < < > > ] < > > ] [ { } ] < ( ( { { { < > [ ] } } } ) ) > < > > < ( [ [ ( ) ] ( ( ) ) { [ ( ) ] } ] ) > > ( ( < > ) [ [ { < > } ] ] ) [\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: ) ; stack: empty\nThought 5: < ; stack: <\nThought 6: < ; stack: < <\nThought 7: [ ; stack: < < [\nThought 8: < ; stack: < < [ <\nThought 9: [ ; stack: < < [ [\nThought 10: ( ; stack: < < [ [ (\nThought 11: { ; stack: < < [ [ ( {\nThought 12: } ; stack: < < [ [ (\nThought 13: ) ; stack: < < [ [\nThought 14: ] ; stack: < < [\nThought 15: > ; stack: < <\nThought 16: [ ; stack: <\nThought 17: < ; stack: < <\nThought 18: > ; stack: <\nThought 19: > ; stack: empty\nThought 20: ] ; stack: empty\nThought 21: [ ; stack: [\nThought 22: { ; stack: [ {\nThought 23: } ; stack: [\nThought 24: < ; stack: [ <\nThought 25: ( ; stack: [ < (\nThought 26: { ; stack: [ < ( {\nThought 27: { ; stack: [ < ( { {\nThought 28: { ; stack: [ < ( { { {\nThought 29: < ; stack: [ < ( { { { <\nThought 30: > ; stack: [ < ( { { {\nThought 31: [ ; stack: [ < ( { {\nThought 32: ] ; stack: [ < ( {\nThought 33: } ; stack: [ < (\nThought 34: ) ; stack: [ <\nThought 35: > ; stack: [\nThought 36: > ; stack: empty\nThought 37: < ; stack: <\nThought 38: ( ; stack: < (\nThought 39: [ ; stack: < ( [\nThought 40: [ ; stack: < ( [ [\nThought 41: ( ; stack: < ( [ [ (\nThought 42: ) ; stack: < ( [ [\nThought 43: ) ; stack: < ( [\nThought 44: { ; stack: < (\nThought 45: [ ; stack: <\nThought 46: ( ; stack: < (\nThought 47: ) ; stack: <\nThought 48: ] ; stack: empty\nThought 49: ] ; stack: empty\nThought 50: ) ; stack: empty\nThought 51: ] ; stack: empty\nThought 52: Now, we have reached the end. The final stack is \"[\".\nThought 53: We will need to pop out \"[\" one by one in that order.\nThought 54: So, we need \"]\". So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:170", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( < [ < ( ) > ( [ ] ) { [ { [ < { } > ] } ] } { < [ ( ) ( [ < ( < [ < > ] > ) > ] ) ] < > > } ] > < ( < { < < > > } > [ < > ] )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: < ; stack: ( <\nThought 5: [ ; stack: ( < [\nThought 6: < ; stack: ( < [ <\nThought 7: ( ; stack: ( < [ < (\nThought 8: ) ; stack: ( < [ <\nThought 9: > ; stack: ( < [\nThought 10: ( ; stack: ( < [ (\nThought 11: [ ; stack: ( < [ [\nThought 12: ] ; stack: ( < [\nThought 13: ) ; stack: ( <\nThought 14: { ; stack: ( {\nThought 15: [ ; stack: ( { [\nThought 16: { ; stack: ( { [ {\nThought 17: [ ; stack: ( { [ { [\nThought 18: < ; stack: ( { [ { [ <\nThought 19: { ; stack: ( { [ { [ < {\nThought 20: } ; stack: ( { [ { [ <\nThought 21: ] ; stack: ( { [ { [\nThought 22: } ; stack: ( { [ {\nThought 23: } ; stack: ( { [\nThought 24: { ; stack: ( { {\nThought 25: < ; stack: ( { { <\nThought 26: [ ; stack: ( { { < [\nThought 27: ( ; stack: ( { { < [ (\nThought 28: ) ; stack: ( { { < [\nThought 29: ( ; stack: ( { { < [ (\nThought 30: [ ; stack: ( { { < [ [\nThought 31: < ; stack: ( { { < [ [ <\nThought 32: ( ; stack: ( { { < [ [ < (\nThought 33: < ; stack: ( { { < [ [ < ( <\nThought 34: [ ; stack: ( { { < [ [ < ( < [\nThought 35: > ; stack: ( { { < [ [ < ( <\nThought 36: ] ; stack: ( { { < [ [ < (\nThought 37: ) ; stack: ( { { < [ [\nThought 38: ] ; stack: ( { { < [\nThought 39: ] ; stack: ( { { <\nThought 40: > ; stack: ( { {\nThought 41: } ; stack: ( {\nThought 42: ] ; stack: (\nThought 43: > ; stack: empty\nThought 44: < ; stack: <\nThought 45: ( ; stack: < (\nThought 46: < ; stack: < ( <\nThought 47: { ; stack: < ( < {\nThought 48: < ; stack: < ( < { <\nThought 49: < ; stack: < ( < { < <\nThought 50: > ; stack: < ( < { <\nThought 51: > ; stack: < ( < {\nThought 52: } ; stack: < ( <\nThought 53: ] ; stack: < (\nThought 54: ) ; stack: <\nThought 55: Now, we have reached the end. The final stack is \"<\".\nThought 56: We will need to pop out \"<\". So the answer is >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:171", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { ( { [ < ( < [ ( ) ] > ) > ] } ) } ] [ ] [ ( { ( ) } ) ] < { ( ( ( ( ( < > ) ) ) ) ) [ < [ ( < > ) ] > [ [ ] ( ( { } { [ { < [ ] > } ] } < { } > < [ < > ] > [ ] ) ) ] ] } > { [ { ( )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: ( ; stack: [ { (\nThought 6: { ; stack: [ { ( {\nThought 7: [ ; stack: [ { ( { [\nThought 8: < ; stack: [ { ( { [ <\nThought 9: ( ; stack: [ { ( { [ < (\nThought 10: < ; stack: [ { ( { [ < ( <\nThought 11: [ ; stack: [ { ( { [ < ( < [\nThought 12: ( ; stack: [ { ( { [ < ( < [ (\nThought 13: ) ; stack: [ { ( { [ < ( < [\nThought 14: ] ; stack: [ { ( { [ < ( <\nThought 15: > ; stack: [ { ( { [ <\nThought 16: ) ; stack: [ { ( { [\nThought 17: > ; stack: [ { ( {\nThought 18: ] ; stack: [ { (\nThought 19: } ; stack: [ {\nThought 20: } ; stack: [\nThought 21: ] ; stack: empty\nThought 22: [ ; stack: [\nThought 23: ] ; stack: empty\nThought 24: [ ; stack: [\nThought 25: ( ; stack: [ (\nThought 26: { ; stack: [ ( {\nThought 27: ( ; stack: [ ( { (\nThought 28: ) ; stack: [ ( {\nThought 29: } ; stack: [ (\nThought 30: ) ; stack: [\nThought 31: ] ; stack: empty\nThought 32: < ; stack: <\nThought 33: { ; stack: < {\nThought 34: ( ; stack: < { (\nThought 35: ( ; stack: < { ( (\nThought 36: ( ; stack: < { ( ( (\nThought 37: ( ; stack: < { ( ( ( (\nThought 38: < ; stack: < { ( ( ( ( <\nThought 39: > ; stack: < { ( ( ( (\nThought 40: ) ; stack: < { ( ( (\nThought 41: ) ; stack: < { ( (\nThought 42: ) ; stack: < { (\nThought 43: ) ; stack: < {\nThought 44: ] ; stack: <\nThought 45: [ ; stack: < [\nThought 46: < ; stack: < [ <\nThought 47: [ ; stack: < [ < [\nThought 48: ( ; stack: < [ < [ (\nThought 49: < ; stack: < [ < [ ( <\nThought 50: > ; stack: < [ < [ (\nThought 51: ] ; stack: < [ < [\nThought 52: ] ; stack: < [ <\nThought 53: ] ; stack: < [\nThought 54: ] ; stack: <\nThought 55: ] ; stack: empty\nThought 56: { ; stack: {\nThought 57: [ ; stack: { [\nThought 58: { ; stack: { [ {\nThought 59: ( ; stack: { [ { (\nThought 60: So the answer is ) } ] > { } > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] > ] >\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:173", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { < < ( { { { ( [ [ ( [ ] ) { ( { { ( < ( ( ) < < { < < > > } > > ) > ) } } ) } ] ] ) } } } ) > > { { { { } } } } ( { ( { ( ( ) ) } ) } ) } ( ( < ( ) > )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: < ; stack: [ { <\nThought 6: < ; stack: [ { < <\nThought 7: ( ; stack: [ { < < (\nThought 8: { ; stack: [ { < < ( {\nThought 9: { ; stack: [ { < < ( { {\nThought 10: { ; stack: [ { < < ( { { {\nThought 11: [ ; stack: [ { < < ( { { { [\nThought 12: [ ; stack: [ { < < ( { { { [ [\nThought 13: ( ; stack: [ { < < ( { { { [ [ (\nThought 14: [ ; stack: [ { < < ( { { { [ [ ( [\nThought 15: ] ; stack: [ { < < ( { { { [ [ ( [ ]\nThought 16: ) ; stack: [ { < < ( { { { [ [ ( ]\nThought 17: { ; stack: [ { < < ( { { { [ [\nThought 18: ( ; stack: [ { < < ( { { { [\nThought 19: { ; stack: [ { < < ( { {\nThought 20: { ; stack: [ { < < ( {\nThought 21: { ; stack: [ { < < (\nThought 22: ) ; stack: [ { < <\nThought 23: > ; stack: [ { <\nThought 24: > ; stack: [ {\nThought 25: { ; stack: [ { {\nThought 26: { ; stack: [ { { {\nThought 27: { ; stack: [ { { { {\nThought 28: { ; stack: [ { { { { {\nThought 29: ( ; stack: [ { { { { { (\nThought 30: { ; stack: [ { { { { { {\nThought 31: ( ; stack: [ { { { { { { (\nThought 32: ( ; stack: [ { { { { { { ( (\nThought 33: ) ; stack: [ { { { { { { (\nThought 34: ) ; stack: [ { { { { {\nThought 35: ) ; stack: [ { { { {\nThought 36: ) ; stack: [ { { {\nThought 37: ) ; stack: [ { {\nThought 38: ) ; stack: [ {\nThought 39: ) ; stack: [\nThought 40: Now, we have reached the end. The final stack is \"[\".\nThought 41: We will need to pop out \"[\" one by one in that order.\nThought 42: So, we need \"]\". So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:175", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( { < { { [ ] } < > [ ] } [ [ [ < [ [ ] ] > ] ] ] > } [ ] { { { { [ { } ] } ( < [ [ [ ] ] ] > ) < < ( { ( [ ] ) [ { { } } ] { [ ] } } ) [ [ { [ [ { ( { } ) [ ( ) { } ] { } } ] ] < > } ] ] > > }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: { ; stack: ( {\nThought 5: < ; stack: ( { <\nThought 6: { ; stack: ( { < {\nThought 7: { ; stack: ( { < { {\nThought 8: [ ; stack: ( { < { { [\nThought 9: ] ; stack: ( { < { {\nThought 10: } ; stack: ( { < {\nThought 11: < ; stack: ( { <\nThought 12: > ; stack: ( {\nThought 13: } ; stack: (\nThought 14: ] ; stack: empty\nThought 15: ] ; stack: empty\nThought 16: { ; stack: {\nThought 17: { ; stack: { {\nThought 18: { ; stack: { { {\nThought 19: { ; stack: { { { {\nThought 20: [ ; stack: { { { { [\nThought 21: { ; stack: { { { { {\nThought 22: } ; stack: { { { {\nThought 23: ] ; stack: { { {\nThought 24: } ; stack: { {\nThought 25: ( ; stack: { (\nThought 26: < ; stack: { ( <\nThought 27: [ ; stack: { ( < [\nThought 28: [ ; stack: { ( < [ [\nThought 29: [ ; stack: { ( < [ [ [\nThought 30: ] ; stack: { ( < [ [\nThought 31: ] ; stack: { ( < [\nThought 32: ] ; stack: { ( <\nThought 33: > ; stack: { (\nThought 34: ) ; stack: {\nThought 35: < ; stack: { <\nThought 36: ( ; stack: { < (\nThought 37: { ; stack: { < ( {\nThought 38: ( ; stack: { < ( { (\nThought 39: [ ; stack: { < ( { ( [\nThought 40: ] ; stack: { < ( { (\nThought 41: ) ; stack: { < ( {\nThought 42: } ; stack: { < (\nThought 43: ) ; stack: { <\nThought 44: ] ; stack: {\nThought 45: ] ; stack: empty\nThought 46: } ; stack: empty\nThought 47: Now, we have reached the end. The final stack is \"{\".\nThought 48: We will need to pop out \"{\" one by one in that order.\nThought 49: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:176", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ { { [ ( < ( [ ( ( ) ) ] ) > { { ( ) { [ ] [ ] } } } ) ] } [ { } < { < ( < < [ ( < < > > ) ] > > ) > < < > > } > ( ( ) ) < > [ [ ] ] ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: { ; stack: [ {\nThought 5: { ; stack: [ { {\nThought 6: [ ; stack: [ { { [\nThought 7: ( ; stack: [ { { [ (\nThought 8: < ; stack: [ { { [ ( <\nThought 9: ( ; stack: [ { { [ ( < (\nThought 10: [ ; stack: [ { { [ ( < ( [\nThought 11: ( ; stack: [ { { [ ( < ( [ (\nThought 12: ) ; stack: [ { { [ ( < ( [ )\nThought 13: ) ; stack: [ { { [ ( < (\nThought 14: ) ; stack: [ { { [ (\nThought 15: > ; stack: [ { { [\nThought 16: { ; stack: [ { { {\nThought 17: { ; stack: [ { { { {\nThought 18: ( ; stack: [ { { { { (\nThought 19: ) ; stack: [ { { {\nThought 20: { ; stack: [ { { { {\nThought 21: [ ; stack: [ { { { { [\nThought 22: ] ; stack: [ { { {\nThought 23: ] ; stack: [ { {\nThought 24: } ; stack: [ {\nThought 25: [ ; stack: [ [\nThought 26: { ; stack: [ [ {\nThought 27: } ; stack: [ [\nThought 28: < ; stack: [ [ <\nThought 29: { ; stack: [ [ < {\nThought 30: < ; stack: [ [ < { <\nThought 31: ( ; stack: [ [ < { < (\nThought 32: < ; stack: [ [ < { < ( <\nThought 33: [ ; stack: [ [ < { < ( < [\nThought 34: ( ; stack: [ [ < { < ( < [ (\nThought 35: < ; stack: [ [ < { < ( < [ ( <\nThought 36: > ; stack: [ [ < { < ( < [ (\nThought 37: ) ; stack: [ [ < { < ( <\nThought 38: ) ; stack: [ [ < { <\nThought 39: > ; stack: [ [ <\nThought 40: < ; stack: [ [\nThought 41: > ; stack: [\nThought 42: ( ; stack: (\nThought 43: ( ; stack: ( (\nThought 44: ) ; stack: (\nThought 45: < ; stack: <\nThought 46: > ; stack: empty\nThought 47: Now, we have reached the end. The final stack is empty.\nThought 48: So the answer is ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:183", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ [ [ ] [ < ( < { { ( ( < [ < < { } < > > > ] > ) ( ) ) } [ { } ] ( ) { < < > > } ( ( { [ ] } < { } > ) ) } > ( [ < < < { } ( ) > > > ] ) ) > ( [ ] ) ] ] ] [\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: [ ; stack: [ [\nThought 5: [ ; stack: [ [ [\nThought 6: ] ; stack: [ [\nThought 7: ] ; stack: [\nThought 8: [ ; stack: [ [\nThought 9: < ; stack: [ [ <\nThought 10: ( ; stack: [ [ < (\nThought 11: < ; stack: [ [ < ( <\nThought 12: { ; stack: [ [ < ( < {\nThought 13: { ; stack: [ [ < ( < { {\nThought 14: ( ; stack: [ [ < ( < { { (\nThought 15: ( ; stack: [ [ < ( < { { ( (\nThought 16: < ; stack: [ [ < ( < { { ( ( <\nThought 17: [ ; stack: [ [ < ( < { { ( ( < [\nThought 18: < ; stack: [ [ < ( < { { ( ( < [ <\nThought 19: < ; stack: [ [ < ( < { { ( ( < [ < <\nThought 20: { ; stack: [ [ < ( < { { ( ( < [ < < {\nThought 21: < ; stack: [ [ < ( < { { ( ( < [ < < { <\nThought 22: > ; stack: [ [ < ( < { { ( ( < [ < < {\nThought 23: > ; stack: [ [ < ( < { { ( ( < [ < <\nThought 24: ] ; stack: [ [ < ( < { { ( ( < [ <\nThought 25: ) ; stack: [ [ < ( < { { ( ( < [\nThought 26: ) ; stack: [ [ < ( < { { (\nThought 27: ) ; stack: [ [ < ( < {\nThought 28: } ; stack: [ [ < ( <\nThought 29: ] ; stack: [ [ <\nThought 30: ] ; stack: [ [\nThought 31: { ; stack: [ [ {\nThought 32: } ; stack: [ [\nThought 33: ] ; stack: [\nThought 34: ) ; stack: empty\nThought 35: Now, we have reached the end. The final stack is empty.\nThought 36: So the answer is ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ] ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:186", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { < { < [ < < [ [ [ { [ ( [ [ [ < { [ { ( ( [ ( { } ) ] < [ ] > ) ( ) { { ( { } ) } { [ { ( [ ( ) ] ) } ] } } { } ) } ] } [ ] ( ) < > > ] ] ] ) ] } ] ] ] > > ] > } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: < ; stack: { <\nThought 5: { ; stack: { < {\nThought 6: < ; stack: { < { <\nThought 7: [ ; stack: { < { < [\nThought 8: < ; stack: { < { < [ <\nThought 9: [ ; stack: { < { < [ < [\nThought 10: [ ; stack: { < { < [ < [ [\nThought 11: { ; stack: { < { < [ < [ [ {\nThought 12: [ ; stack: { < { < [ < [ [ { [\nThought 13: ( ; stack: { < { < [ < [ [ { [ (\nThought 14: [ ; stack: { < { < [ < [ [ { [ ( [\nThought 15: [ ; stack: { < { < [ < [ [ { [ ( [ [\nThought 16: < ; stack: { < { < [ < [ [ { [ ( [ [ <\nThought 17: { ; stack: { < { < [ < [ [ { [ ( [ [ < {\nThought 18: [ ; stack: { < { < [ < [ [ { [ ( [ [ < { [\nThought 19: { ; stack: { < { < [ < [ [ { [ ( [ [ < { [ {\nThought 20: ( ; stack: { < { < [ < [ [ { [ ( [ [ < { [ { (\nThought 21: ( ; stack: { < { < [ < [ [ { [ ( [ [ < { [ { ( (\nThought 22: [ ; stack: { < { < [ < [ [ { [ ( [ [ < { [ { ( ( [\nThought 23: ( ; stack: { < { < [ < [ [ { [ ( [ [ < { [ { ( ( [ (\nThought 24: { ; stack: { < { < [ < [ [ { [ ( [ [ < { [ { ( ( [ ( {\nThought 25: } ; stack: { < { < [ < [ [ { [ ( [ [ < { [ { ( ( [ (\nThought 26: ) ; stack: { < { < [ < [ [ { [ ( [ [ < { [ { ( (\nThought 27: ] ; stack: { < { < [ < [ [ { [ ( [ [ < { [ {\nThought 28: ] ; stack: { < { < [ < [ [ { [ ( [ [ < {\nThought 29: ] ; stack: { < { < [ < [ [ { [ ( [ [\nThought 30: > ; stack: { < { < [ < [ [ { [ ( [\nThought 31: > ; stack: { < { < [ < [ [ { [\nThought 32: ] ; stack: { < { < [ < [ [ {\nThought 33: ] ; stack: { < { < [ < [\nThought 34: ] ; stack: { < { < [\nThought 35: ] ; stack: { < {\nThought 36: ] ; stack: { <\nThought 37: > ; stack: {\nThought 38: Now, we have reached the end. The final stack is \"{\".\nThought 39: We will need to pop out \"{\" one by one in that order.\nThought 40: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:188", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( { } < < < < { ( [ < > < > ] ) ( < < ( ) > { } > ) } > > { [ < { ( { < [ ] > } ) } > ] } >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: { ; stack: { ( {\nThought 6: } ; stack: { (\nThought 7: < ; stack: { ( <\nThought 8: < ; stack: { ( < <\nThought 9: < ; stack: { ( < < <\nThought 10: < ; stack: { ( < < < <\nThought 11: { ; stack: { ( < < < < {\nThought 12: ( ; stack: { ( < < < < { (\nThought 13: [ ; stack: { ( < < < < { ( [\nThought 14: < ; stack: { ( < < < < { ( [ <\nThought 15: > ; stack: { ( < < < < { ( [\nThought 16: < ; stack: { ( < < < < { ( [ <\nThought 17: > ; stack: { ( < < < < { ( [\nThought 18: ) ; stack: { ( < < < < {\nThought 19: ( ; stack: { ( < < < < { (\nThought 20: < ; stack: { ( < < < < { ( <\nThought 21: < ; stack: { ( < < < < { ( < <\nThought 22: ( ; stack: { ( < < < < { ( < < (\nThought 23: ) ; stack: { ( < < < < { ( < <\nThought 24: > ; stack: { ( < < < < { ( <\nThought 25: { ; stack: { ( < < < < {\nThought 26: } ; stack: { ( < < < <\nThought 27: > ; stack: { ( < < <\nThought 28: > ; stack: { ( < <\nThought 29: { ; stack: { ( <\nThought 30: [ ; stack: { ( [\nThought 31: < ; stack: { ( [ <\nThought 32: { ; stack: { ( [ < {\nThought 33: ( ; stack: { ( [ < { (\nThought 34: { ; stack: { ( [ < { ( {\nThought 35: < ; stack: { ( [ < { ( { <\nThought 36: [ ; stack: { ( [ < { ( { < [\nThought 37: ] ; stack: { ( [ < { ( { <\nThought 38: > ; stack: { ( [ < { ( {\nThought 39: } ; stack: { ( [ < { (\nThought 40: ) ; stack: { ( [ < {\nThought 41: } ; stack: { ( [ <\nThought 42: ] ; stack: { ( [\nThought 43: } ; stack: { (\nThought 44: > ; stack: {\nThought 45: Now, we have reached the end. The final stack is \"{\".\nThought 46: We will need to pop out \"{\" one by one in that order.\nThought 47: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:191", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: ( { ( ( ( ) ) ) ( ) [ < > ] { ( [ { { ( ( [ ( ) ] ) ) } { ( [ ] ) } [ [ [ ] ] ] [ ( { { { } } < < [ ] { } > > } ) ] } ] ) < < { } > { [ { } ] } > } }\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: ( ; stack: (\nThought 4: { ; stack: ( {\nThought 5: ( ; stack: ( { (\nThought 6: ( ; stack: ( { ( (\nThought 7: ( ; stack: ( { ( ( (\nThought 8: ) ; stack: ( { ( (\nThought 9: ) ; stack: ( { (\nThought 10: ) ; stack: ( {\nThought 11: ( ; stack: ( { (\nThought 12: ) ; stack: ( {\nThought 13: [ ; stack: ( { [\nThought 14: < ; stack: ( { [ <\nThought 15: > ; stack: ( { [\nThought 16: ] ; stack: ( {\nThought 17: { ; stack: ( { {\nThought 18: ( ; stack: ( { { (\nThought 19: [ ; stack: ( { { ( [\nThought 20: { ; stack: ( { { ( [ {\nThought 21: { ; stack: ( { { ( [ { {\nThought 22: ( ; stack: ( { { ( [ { { (\nThought 23: [ ; stack: ( { { ( [ { { ( [\nThought 24: ( ; stack: ( { { ( [ { { ( [ (\nThought 25: ) ; stack: ( { { ( [ { { ( [\nThought 26: ) ; stack: ( { { ( [ { {\nThought 27: } ; stack: ( { { ( [ {\nThought 28: { ; stack: ( { { ( [\nThought 29: ( ; stack: ( { { (\nThought 30: ) ; stack: ( { {\nThought 31: } ; stack: ( {\nThought 32: < ; stack: ( { <\nThought 33: { ; stack: ( { < {\nThought 34: } ; stack: ( { <\nThought 35: > ; stack: ( {\nThought 36: { ; stack: ( { {\nThought 37: [ ; stack: ( { { [\nThought 38: { ; stack: ( { { [ {\nThought 39: } ; stack: ( { { [\nThought 40: ] ; stack: ( { {\nThought 41: } ; stack: ( {\nThought 42: } ; stack: (\nThought 43: Now, we have reached the end. The final stack is \"(\".\nThought 44: We will need to pop out \"(\" one by one in that order.\nThought 45: So, we need \")\". So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:192", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( { } ) } [ < < [ { { < { < < [ < > ] { { ( { ( < { [ [ ] ] } > [ < > ] ) } ) } } > > } > } } ] > >\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: { ; stack: { ( {\nThought 6: } ; stack: { (\nThought 7: ) ; stack: {\nThought 8: } ; stack: empty\nThought 9: [ ; stack: [\nThought 10: < ; stack: [ <\nThought 11: < ; stack: [ < <\nThought 12: [ ; stack: [ < < [\nThought 13: { ; stack: [ < < [ {\nThought 14: { ; stack: [ < < [ { {\nThought 15: < ; stack: [ < < [ { { <\nThought 16: { ; stack: [ < < [ { { < {\nThought 17: < ; stack: [ < < [ { { < { <\nThought 18: [ ; stack: [ < < [ { { < { < [\nThought 19: < ; stack: [ < < [ { { < { < [ <\nThought 20: > ; stack: [ < < [ { { < { < [\nThought 21: ] ; stack: [ < < [ { { < { <\nThought 22: { ; stack: [ < < [ { { <\nThought 23: { ; stack: [ < < [ { {\nThought 24: ( ; stack: [ < < [ { { (\nThought 25: { ; stack: [ < < [ { { ( {\nThought 26: ( ; stack: [ < < [ { { ( { (\nThought 27: < ; stack: [ < < [ { { ( { ( <\nThought 28: { ; stack: [ < < [ { { ( { ( < {\nThought 29: [ ; stack: [ < < [ { { ( { ( < { [\nThought 30: [ ; stack: [ < < [ { { ( { ( < { [ [\nThought 31: ] ; stack: [ < < [ { { ( { ( < { [\nThought 32: ] ; stack: [ < < [ { { ( { ( < {\nThought 33: } ; stack: [ < < [ { { ( { (\nThought 34: > ; stack: [ < < [ { { ( {\nThought 35: > ; stack: [ < < [ { { (\nThought 36: } ; stack: [ < < [ { {\nThought 37: } ; stack: [ < < [ {\nThought 38: } ; stack: [ < < [\nThought 39: ] ; stack: [ < <\nThought 40: > ; stack: [ <\nThought 41: > ; stack: [\nThought 42: Now, we have reached the end. The final stack is \"[\".\nThought 43: We will need to pop out \"[\" one by one in that order.\nThought 44: So, we need \"]\". So the answer is ]\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:193", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { < { { [ ] } } { < [ { { < > } } [ ( ) ( ) ] [ [ [ [ ( { < ( < ( [ ] ) > ) > } ) ] ] ] ] ] ( ) ( [ ] { } ) > } > [ { ( ( ) ) } ]\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: < ; stack: { <\nThought 5: { ; stack: { < {\nThought 6: { ; stack: { < { {\nThought 7: [ ; stack: { < { { [\nThought 8: ] ; stack: { < { {\nThought 9: } ; stack: { < {\nThought 10: } ; stack: { <\nThought 11: { ; stack: { < {\nThought 12: < ; stack: { < { <\nThought 13: [ ; stack: { < { < [\nThought 14: { ; stack: { < { < [ {\nThought 15: { ; stack: { < { < [ { {\nThought 16: < ; stack: { < { < [ { { <\nThought 17: > ; stack: { < { < [ { {\nThought 18: } ; stack: { < { < [ {\nThought 19: } ; stack: { < { < [\nThought 20: ] ; stack: { < { <\nThought 21: [ ; stack: { < {\nThought 22: [ ; stack: { < { [\nThought 23: [ ; stack: { < { [ [\nThought 24: [ ; stack: { < { [ [ [\nThought 25: ( ; stack: { < { [ [ [ (\nThought 26: { ; stack: { < { [ [ [ ( {\nThought 27: < ; stack: { < { [ [ [ ( { <\nThought 28: ( ; stack: { < { [ [ [ ( { < (\nThought 29: < ; stack: { < { [ [ [ ( { < ( <\nThought 30: ( ; stack: { < { [ [ [ ( { < ( < (\nThought 31: [ ; stack: { < { [ [ [ ( { < ( < ( [\nThought 32: ] ; stack: { < { [ [ [ ( { < ( < (\nThought 33: ) ; stack: { < { [ [ [ ( { < ( <\nThought 34: ) ; stack: { < { [ [ [ ( { <\nThought 35: > ; stack: { < { [ [ [ ( {\nThought 36: } ; stack: { < { [ [ [ (\nThought 37: ) ; stack: { < { [ [ [\nThought 38: ) ; stack: { < { [ [\nThought 39: ( ; stack: { < { [\nThought 40: [ ; stack: { < {\nThought 41: ] ; stack: { <\nThought 42: ) ; stack: {\nThought 43: ) ; stack: empty\nThought 44: Now, we have reached the end. The final stack is empty.\nThought 45: So the answer is )\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:194", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: { ( ( ( [ < > ] ) < [ [ ] ( < > ) { } { [ ] } [ < < { < ( [ { { } } ] ) > } > > ] ] > ) )\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: { ; stack: {\nThought 4: ( ; stack: { (\nThought 5: ( ; stack: { ( (\nThought 6: ( ; stack: { ( ( (\nThought 7: [ ; stack: { ( ( ( [\nThought 8: < ; stack: { ( ( ( [ <\nThought 9: > ; stack: { ( ( ( [ < >\nThought 10: ] ; stack: { ( ( ( [ < > ]\nThought 11: ) ; stack: { ( ( (\nThought 12: < ; stack: { ( ( ( <\nThought 13: [ ; stack: { ( ( ( < [\nThought 14: [ ; stack: { ( ( ( < [ [\nThought 15: ] ; stack: { ( ( ( < [ [ ]\nThought 16: ( ; stack: { ( ( ( < [ [ ] (\nThought 17: < ; stack: { ( ( ( < [ [ ] ( <\nThought 18: > ; stack: { ( ( ( < [ [ ] ( < >\nThought 19: ) ; stack: { ( ( ( < [ [ ]\nThought 20: { ; stack: { ( ( ( < [ [ ] {\nThought 21: } ; stack: { ( ( ( < [ [ ]\nThought 22: { ; stack: { ( ( ( < [ [ ] {\nThought 23: } ; stack: { ( ( ( < [ [ ]\nThought 24: [ ; stack: { ( ( ( < [ [ ] [\nThought 25: < ; stack: { ( ( ( < [ [ ] [ <\nThought 26: < ; stack: { ( ( ( < [ [ ] [ < <\nThought 27: { ; stack: { ( ( ( < [ [ ] [ < < {\nThought 28: < ; stack: { ( ( ( < [ [ ] [ < < { <\nThought 29: ( ; stack: { ( ( ( < [ [ ] [ < < { < (\nThought 30: [ ; stack: { ( ( ( < [ [ ] [ < < { < ( [\nThought 31: { ; stack: { ( ( ( < [ [ ] [ < < { < ( [ {\nThought 32: } ; stack: { ( ( ( < [ [ ] [ < < { < ( [\nThought 33: } ; stack: { ( ( ( < [ [ ] [ < < { < (\nThought 34: ] ; stack: { ( ( ( < [ [ ] [ < < { <\nThought 35: ) ; stack: { ( ( ( < [ [ ] [ < < {\nThought 36: ) ; stack: { ( ( ( < [ [ ] [ < <\nThought 37: > ; stack: { ( ( ( < [ [ ] [ <\nThought 38: > ; stack: { ( ( ( < [ [ ]\nThought 39: ] ; stack: { ( ( ( < [\nThought 40: ] ; stack: { ( ( (\nThought 41: > ; stack: { ( (\nThought 42: ) ; stack: { (\nThought 43: ) ; stack: {\nThought 44: Now, we have reached the end. The final stack is \"{\".\nThought 45: We will need to pop out \"{\" one by one in that order.\nThought 46: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:dyck_languages:195", "request": "You are an expert in a language called dyck where you must complete the language sequence of unclosed brackets of all types (e.g., [], {}, <>). You are given an initial initial dyck language sequence and the steps, provided as\nthoughts, that were used to arrive at the closing bracket sequence in the dyck language. Your job is to identify the first step that was a mistake in reasoning about the closing bracket sequence in dyck language, if any.\nThis can be forgetting to close a bracket or closing with the wrong bracket or incorrectly copying the prior subsequence of closing brackets to the next step.\nTask: Complete the rest of the sequence, making sure that the parentheses are closed properly. Input: [ < < { } > [ { [ ] ( ( ( ( < ( ( ) ) > ) ) ) [ ] ) } ] { } < [ { ( { < ( ) > } ) } ( ) ] > > {\nThought 1: We should process each input one by one and keep track of the stack configuration.\nThought 2: stack: empty\nThought 3: [ ; stack: [\nThought 4: < ; stack: [ <\nThought 5: < ; stack: [ < <\nThought 6: { ; stack: [ < < {\nThought 7: } ; stack: [ < <\nThought 8: > ; stack: [ <\nThought 9: [ ; stack: [ [\nThought 10: { ; stack: [ [ {\nThought 11: [ ; stack: [ [ { [\nThought 12: ] ; stack: [ [ {\nThought 13: ( ; stack: [ [ { (\nThought 14: ( ; stack: [ [ { ( (\nThought 15: ( ; stack: [ [ { ( ( (\nThought 16: ( ; stack: [ [ { ( ( ( (\nThought 17: < ; stack: [ [ { ( ( ( ( <\nThought 18: ( ; stack: [ [ { ( ( ( ( (\nThought 19: ) ; stack: [ [ { ( ( ( (\nThought 20: ) ; stack: [ [ { ( ( (\nThought 21: ) ; stack: [ [ { ( (\nThought 22: ) ; stack: [ [ { (\nThought 23: ] ; stack: [ [ {\nThought 24: ) ; stack: [ [\nThought 25: } ; stack: [\nThought 26: ] ; stack: empty\nThought 27: { ; stack: {\nThought 28: } ; stack: empty\nThought 29: < ; stack: <\nThought 30: [ ; stack: < [\nThought 31: { ; stack: < [ {\nThought 32: { ; stack: < [ { {\nThought 33: < ; stack: < [ { { <\nThought 34: ( ; stack: < [ { { < (\nThought 35: ) ; stack: < [ { { <\nThought 36: } ; stack: < [ { {\nThought 37: } ; stack: < [ {\nThought 38: ) ; stack: < [\nThought 39: ] ; stack: <\nThought 40: > ; stack: empty\nThought 41: > ; stack: empty\nThought 42: { ; stack: {\nThought 43: Now, we have reached the end. The final stack is \"{\".\nThought 44: We will need to pop out \"{\" one by one in that order.\nThought 45: So, we need \"}\". So the answer is }\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:002", "request": "Suppose we draw this SVG path element: M 15.56307,10.65373 L 21.55211,14.54746 M 5.68916,13.24937 L 9.8089,6.9127 M 21.55211,14.54746 L 11.74321,29.63476 M 27.06184,6.07282 L 15.31863,-1.56194 M 0.0,22.0 L 5.68916,13.24937 M 0.0,0.0 L 0.0,22.0 M 27.06184,6.07282 L 32.93056,9.88833 L 27.42083,18.36297 M 9.8089,6.9127 L 0.0,0.0 M 21.55211,14.54746 L 27.06184,6.07282 M 9.8089,6.9127 L 15.56307,10.65373 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 3\n(B) none of the above\n(C) 3, 7 and 10\n(D) 3 and 10\n(E) 3 and 8\n(F) 3 and 7\n(G) 3 and 2\n(H) only 2\n(I) 8 and 9\n(J) 3, 1 and 2\n(K) 1 and 9\n(L) 3, 2 and 10\n(M) only 8\n(N) 3, 6 and 9\n(O) 1, 6 and 8\n(P) 3 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:003", "request": "Suppose we draw this SVG path element: M 7.25201,14.67885 L 10.2141,14.67885 M 10.2141,22.67885 L 0.0,22.67885 M 0.0,14.67885 L 7.25201,14.67885 M 10.2141,6.16512 L 10.2141,-0.0 M 5.10705,8.84567 L 0.0,0.0 M 10.2141,21.07885 L 10.2141,22.67885 M 10.2141,14.67885 L 10.2141,6.16512 M 10.2141,22.67885 L 10.2141,14.67885 M 10.2141,-0.0 L 5.10705,8.84567 M 18.2141,14.67885 L 18.2141,22.67885 M 10.2141,14.67885 L 18.2141,14.67885 M 0.0,8.80731 L 0.0,14.67885 M 18.2141,22.67885 L 10.2141,22.67885 M 0.0,0.0 L 0.0,8.80731 M 6.9282,18.67885 L 0.0,14.67885 M 0.0,22.67885 L 6.9282,18.67885 M 10.2141,14.67885 L 10.2141,21.07885 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 2\n(B) only 9\n(C) only 8\n(D) only 4\n(E) 2, 4 and 6\n(F) none of the above\n(G) only 3\n(H) 8 and 6\n(I) 2 and 8\n(J) 3, 4 and 5\n(K) 8, 3 and 10\n(L) 2, 1, 5 and 10\n(M) 2, 8, 1 and 9\n(N) 2 and 7\n(O) 2, 3 and 6\n(P) 2, 1, 6 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:004", "request": "Suppose we draw this SVG path element: M 9.11498,38.39894 L -8.66807,46.69131 M 15.43213,18.85181 L 15.43213,3.77036 M -8.66807,46.69131 L -12.49636,38.48152 M 15.43213,18.85181 L 9.4136,18.85181 M 0.0,18.85181 L 15.43213,18.85181 M 9.11498,38.39894 L 14.1864,49.27464 M 15.43213,3.77036 L 15.43213,0.0 M -8.66807,46.69131 L 9.11498,38.39894 M 0.0,18.85181 L 9.11498,38.39894 M 14.1864,49.27464 L 10.0963,51.18189 M 15.43213,0.0 L 7.71606,13.36461 M 24.5471,38.39894 L 15.43213,18.85181 M -3.59665,57.56701 L -8.66807,46.69131 M -16.07292,7.59743 L 0.0,18.85181 M 9.11498,38.39894 L 24.5471,38.39894 M 2.23766,3.87574 L 0.0,0.0 M 7.71606,13.36461 L 2.23766,3.87574 M 9.4136,18.85181 L 0.0,18.85181 M -12.49636,38.48152 L -17.78304,27.14418 M 0.0,0.0 L 0.0,18.85181 M 10.0963,51.18189 L -3.59665,57.56701 M -17.78304,27.14418 L -16.07292,7.59743 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 5, 7 and 8\n(B) 1 and 2\n(C) 1 and 3\n(D) 5 and 8\n(E) 1, 4, 9 and 10\n(F) 7 and 8\n(G) 5, 7, 8 and 6\n(H) 1, 7, 8 and 3\n(I) only 8\n(J) 1 and 5\n(K) 5, 8, 6 and 10\n(L) 1, 5, 7, 8 and 4\n(M) 5, 7 and 6\n(N) only 7\n(O) only 1\n(P) 5, 7 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:005", "request": "Suppose we draw this SVG path element: M 19.91051,24.13423 L 19.91051,8.44698 M 19.91051,38.86056 L 7.7651,38.86056 M 19.91051,0.0 L 9.95526,-17.24301 M 19.91051,8.44698 L 19.91051,0.0 M -12.75337,31.4974 L -8.92736,29.28845 M 33.44733,24.13423 L 26.67892,35.85746 M 19.91051,38.86056 L 33.44733,38.86056 M 19.91051,24.13423 L 19.91051,38.86056 M 33.44733,45.86056 L 19.91051,45.86056 M 9.95526,-17.24301 L 0.0,0.0 M 26.67892,35.85746 L 19.91051,24.13423 M 0.0,38.86056 L -9.43749,33.41182 M 0.0,24.13423 L 19.91051,24.13423 M 33.44733,38.86056 L 33.44733,45.86056 M 0.0,0.0 L 0.0,24.13423 M -8.92736,29.28845 L 0.0,24.13423 M 33.44733,38.86056 L 33.44733,24.13423 M -9.43749,33.41182 L -12.75337,31.4974 M 7.7651,38.86056 L 0.0,38.86056 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 7 and 8\n(B) 8, 1 and 2\n(C) 7 and 6\n(D) 8, 6 and 9\n(E) 8 and 6\n(F) only 7\n(G) only 8\n(H) only 4\n(I) 1 and 2\n(J) 7, 8, 1 and 10\n(K) only 1\n(L) only 10\n(M) none of the above\n(N) 7 and 9\n(O) only 3\n(P) 8 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:011", "request": "Suppose we draw this SVG path element: M 0.0,16.81045 L 0.0,14.80251 M 0.0,0.0 L 0.0,14.80251 M -0.0,21.72644 L 0.0,16.81045 M -15.59808,14.80251 L -15.59808,21.72644 M -9.98277,8.80251 L 0.0,8.80251 M 9.07607,21.72644 L 9.07607,14.80251 M 5.35488,14.80251 L 0.0,14.80251 M -0.0,21.72644 L 9.07607,21.72644 M 0.0,14.80251 L -15.59808,14.80251 M -5.19615,11.80251 L 0.0,14.80251 M 0.0,8.80251 L -5.19615,11.80251 M -15.59808,21.72644 L -0.0,21.72644 M 9.07607,14.80251 L 9.07607,9.32558 M -15.59808,8.80251 L -9.98277,8.80251 M 9.07607,9.32558 L 9.07607,0.0 M 0.0,14.80251 L -0.0,21.72644 M 9.07607,14.80251 L 5.35488,14.80251 M -15.59808,14.80251 L -15.59808,13.48251 L -15.59808,8.80251 M 0.0,14.80251 L 9.07607,14.80251 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1 and 8\n(B) none of the above\n(C) only 2\n(D) 5 and 9\n(E) only 8\n(F) 1, 8 and 5\n(G) 1, 8, 3 and 4\n(H) only 1\n(I) 1 and 5\n(J) 1, 8, 4 and 9\n(K) 1, 8 and 6\n(L) 8, 3 and 7\n(M) 2 and 3\n(N) 1 and 7\n(O) 8, 2, 6 and 10\n(P) 1, 8 and 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:012", "request": "Suppose we draw this SVG path element: M 7.19605,28.77265 L 10.74038,26.72633 M 13.59472,32.92729 L 19.59472,32.92729 M 0.0,0.0 L 0.0,20.52537 M -0.0,32.92729 L 7.19605,28.77265 M 13.59472,25.61016 L 13.59472,32.92729 M 16.59472,15.32922 L 13.59472,20.52537 M 19.59472,20.52537 L 18.75472,19.07045 M 10.19604,32.92729 L -0.0,32.92729 M 18.75472,19.07045 L 16.59472,15.32922 M 13.59472,20.52537 L 13.59472,25.61016 M 13.59472,20.52537 L 13.59472,0.0 M 13.59472,32.92729 L 10.19604,32.92729 M 10.74038,26.72633 L 3.65173,22.6337 L 0.0,20.52537 M 19.59472,32.92729 L 19.59472,20.52537 M 0.0,20.52537 L 13.59472,20.52537 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 7, 3 and 5\n(B) only 7\n(C) 8 and 10\n(D) none of the above\n(E) 7 and 3\n(F) only 5\n(G) 7 and 8\n(H) only 4\n(I) 7, 8 and 6\n(J) 7 and 5\n(K) 7, 8 and 9\n(L) only 8\n(M) 8, 1 and 10\n(N) 7 and 2\n(O) only 6\n(P) 7, 2 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:014", "request": "Suppose we draw this SVG path element: M 9.74974,-8.59899 L 0.0,0.0 M 10.90909,12.36898 L 9.74974,-8.59899 L 23.72839,-9.37189 M 0.0,11.0 L 0.0,6.71 M 0.0,0.0 L 10.90909,12.36898 M 9.74974,-8.59899 L 15.266,-10.95925 M 10.90909,12.36898 L 10.90909,23.36898 M 24.88774,11.59608 L 17.22906,-0.12333 L 10.90909,12.36898 M 10.90909,23.36898 L 0.0,11.0 M 23.72839,-9.37189 L 24.88774,11.59608 M 15.266,-10.95925 L 29.24465,-11.73215 M 0.0,6.71 L 0.0,0.0 M 23.72839,-9.37189 L 9.74974,-8.59899 M 29.24465,-11.73215 L 23.72839,-9.37189 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4, 5, 3 and 9\n(B) 6 and 9\n(C) 4 and 8\n(D) 8 and 1\n(E) 4 and 5\n(F) 4 and 1\n(G) 5, 7, 9 and 10\n(H) 5, 8, 6 and 9\n(I) 4, 5 and 8\n(J) none of the above\n(K) only 5\n(L) 5 and 9\n(M) 4, 8 and 3\n(N) 8, 1 and 7\n(O) 4, 5, 8, 2, 6 and 10\n(P) only 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:015", "request": "Suppose we draw this SVG path element: M 11.89601,6.86817 L 11.89601,17.86817 M 17.82522,-3.40152 L 22.81352,-0.52152 M 11.85841,-0.0 L 0.0,0.0 L 3.5688,2.06045 M 11.89601,17.86817 L 0.0,11.0 M 17.82522,-3.40152 L 5.9292,-10.26968 M 3.5688,2.06045 L 11.89601,6.86817 M 0.0,11.0 L 0.0,0.0 M 22.81352,-0.52152 L 24.75342,0.59848 M 11.89601,6.86817 L 17.82522,-3.40152 M 24.75342,0.59848 L 18.82422,10.86817 M 5.9292,-10.26968 L 11.85841,-0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 8\n(B) 8 and 1\n(C) only 5\n(D) 5, 8 and 10\n(E) 8 and 7\n(F) 5 and 8\n(G) 8 and 2\n(H) 5, 8 and 3\n(I) 5 and 9\n(J) only 7\n(K) 5, 8 and 9\n(L) 5, 8, 1 and 7\n(M) 5 and 4\n(N) 5, 1 and 9\n(O) 5, 8 and 7\n(P) 8, 3 and 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:017", "request": "Suppose we draw this SVG path element: M 17.59091,-0.0 L 17.59091,-12.27273 L 0.0,-12.27273 M 17.59091,-0.0 L 27.77373,-20.0639 M 36.31722,9.50397 L 35.18474,-11.46547 M 20.4421,-5.61789 L 17.59091,-0.0 M 0.0,0.0 L 0.0,7.84496 M 30.61034,-8.48445 L 17.59091,-0.0 M 39.67755,2.88288 L 36.31722,9.50397 M 0.0,0.0 L 17.59091,-0.0 M 27.77373,-20.0639 L 20.4421,-5.61789 M -10.62849,-6.13636 L 0.0,0.0 M 0.0,7.84496 L 17.59091,-0.0 M 46.50004,-10.55993 L 39.67755,2.88288 M 17.59091,-12.27273 L 27.77373,-20.0639 M 39.38404,-14.17144 L 46.50004,-10.55993 M 17.59091,-0.0 L 0.0,0.0 M 0.0,-12.27273 L -10.62849,-6.13636 M 35.18474,-11.46547 L 30.61034,-8.48445 M 27.77373,-20.0639 L 39.38404,-14.17144 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3, 7, 8 and 5\n(B) 3, 8 and 1\n(C) 3 and 4\n(D) 4, 7, 8 and 6\n(E) 3, 7 and 8\n(F) 4, 7, 8 and 9\n(G) 3, 8, 6 and 9\n(H) 7, 8 and 10\n(I) 3, 4, 7 and 8\n(J) only 3\n(K) 4, 7 and 8\n(L) 7 and 8\n(M) 3, 4, 5 and 9\n(N) 4, 8, 5, 9 and 10\n(O) 4, 8 and 9\n(P) 3, 4 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:018", "request": "Suppose we draw this SVG path element: M 0.0,3.68 L 0.0,0.0 L 15.0,6.85935 L 15.0,14.85935 M 16.92243,2.65539 L 17.91277,0.48972 M 15.0,6.85935 L 16.92243,2.65539 M 17.91277,0.48972 L 2.91277,-6.36963 L -4.05988,-5.70735 M 0.0,8.0 L 0.0,3.68 M -4.05988,-5.70735 L 0.0,0.0 M 24.12099,-2.39824 L 27.03375,-8.76786 M 15.0,14.85935 L 0.0,8.0 M 24.38867,-6.08316 L 17.91277,0.48972 M 15.0,6.85935 L 24.12099,-2.39824 M 17.91277,0.48972 L 15.0,6.85935 M 27.03375,-8.76786 L 24.38867,-6.08316 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 8\n(B) none of the above\n(C) 5, 7, 4 and 9\n(D) only 7\n(E) only 5\n(F) 5 and 4\n(G) 5, 7 and 4\n(H) only 9\n(I) 5 and 7\n(J) 5, 7 and 6\n(K) only 1\n(L) 5, 7, 4 and 8\n(M) 7, 8 and 10\n(N) 5, 7 and 10\n(O) 7 and 8\n(P) 7 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:020", "request": "Suppose we draw this SVG path element: M 7.95807,3.71091 L 7.95807,22.60192 M -16.35783,-7.51142 L 0.0,0.0 M -16.64815,-12.62318 L -17.26509,-23.48567 M 12.00099,-4.95917 L 9.41352,0.58968 M 7.95807,22.60192 L 7.95807,27.93015 M -16.35783,-7.51142 L -16.64815,-12.62318 M 7.95807,27.93015 L 0.0,24.21924 M 4.1382,1.92967 L 0.0,0.0 M 7.95807,3.71091 L 4.1382,1.92967 M 4.04292,-8.67008 L -16.35783,-7.51142 M 9.41352,0.58968 L 7.95807,3.71091 M -17.26509,-23.48567 L 3.13567,-24.64433 M 4.04292,-8.67008 L 12.00099,-4.95917 M 0.0,0.0 L 4.04292,-8.67008 M 0.0,0.0 L 7.95807,3.71091 M 0.0,24.21924 L 0.0,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 3 and 5\n(B) only 7\n(C) 3 and 4\n(D) 3 and 5\n(E) only 1\n(F) 1 and 9\n(G) only 5\n(H) 5, 6 and 10\n(I) 1, 3, 5 and 7\n(J) only 3\n(K) 1, 3, 6, 7 and 10\n(L) 1, 5, 2, 4, 6 and 9\n(M) 3, 5, 7 and 8\n(N) 5 and 8\n(O) 3, 5 and 9\n(P) 1, 3, 5 and 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:021", "request": "Suppose we draw this SVG path element: M -14.96641,19.87226 L -11.58547,12.6218 L 0.0,12.6218 M -11.58547,12.6218 L -11.58547,0.0 M 0.0,12.6218 L -3.38095,19.87226 M -5.79273,10.03331 L 0.0,0.0 L 0.0,12.6218 M 5.7735,0.0 L 2.88675,5.0 M -11.58547,0.0 L -5.79273,10.03331 M 0.0,12.6218 L -11.58547,12.6218 M 5.7735,12.6218 L 5.7735,0.0 M -3.38095,19.87226 L -14.96641,19.87226 M 0.0,12.6218 L 5.7735,12.6218 M 2.88675,5.0 L 0.0,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 8\n(B) 8 and 6\n(C) 5, 8 and 3\n(D) only 6\n(E) 5 and 8\n(F) 1 and 7\n(G) 5 and 1\n(H) only 5\n(I) 8, 6 and 10\n(J) 1, 2 and 4\n(K) none of the above\n(L) 8 and 7\n(M) 5, 8, 3 and 10\n(N) 5 and 4\n(O) 8, 1 and 6\n(P) 5, 8, 1 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:024", "request": "Suppose we draw this SVG path element: M 13.3919,22.83081 L 7.23163,14.80177 M 0.0,0.0 L 13.3919,17.45443 M -13.0,-16.94364 L -16.33221,-14.38701 M 0.0,5.37638 L 0.0,3.44088 M -5.07,-6.60802 L -13.0,-16.94364 M 0.0,-6.0 L -2.73,-9.55816 L -13.0,-22.94364 M -10.14,-13.21604 L 0.0,0.0 L 0.0,-6.0 M 13.3919,17.45443 L 13.3919,22.83081 M -13.0,-16.94364 L -10.14,-13.21604 M -16.33221,-14.38701 L -17.7603,-13.29131 M 0.0,0.0 L -5.07,-6.60802 M 0.0,3.44088 L 0.0,0.0 M 7.23163,14.80177 L 0.0,5.37638 M -13.0,-22.94364 L -13.0,-16.94364 M -17.7603,-13.29131 L -4.7603,3.65234 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5 and 2\n(B) 5, 7, 8 and 10\n(C) none of the above\n(D) only 7\n(E) only 5\n(F) only 3\n(G) 5 and 8\n(H) 4, 7 and 9\n(I) 5 and 3\n(J) 3 and 7\n(K) only 4\n(L) 5, 6 and 10\n(M) only 2\n(N) 5 and 4\n(O) only 8\n(P) 5, 4, 6 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:030", "request": "Suppose we draw this SVG path element: M 0.0,0.0 L 0.0,10.46493 M 4.41039,-7.63902 L 0.0,0.0 M 8.82079,10.46493 L 8.82079,5.23247 M -20.86574,34.64414 L -20.86574,19.16945 M -0.0,34.64414 L -16.06662,34.64414 M 2.02878,10.46493 L 8.82079,10.46493 L 0.0,10.46493 M -20.86574,19.16945 L -20.86574,10.46493 M 8.82079,0.0 L 4.41039,-7.63902 M 8.82079,5.23247 L 8.82079,0.0 M 8.82079,27.87396 L 8.82079,10.46493 M 8.82079,34.64414 L 8.82079,27.87396 M 0.0,10.46493 L -0.0,34.64414 L 8.82079,34.64414 M -16.06662,34.64414 L -20.86574,34.64414 M -0.0,34.64414 L -13.41224,50.62823 M 0.0,10.46493 L 2.02878,10.46493 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 7, 2 and 6\n(B) 1, 7 and 2\n(C) 1 and 7\n(D) only 7\n(E) 1, 7 and 10\n(F) 7 and 3\n(G) 7, 2 and 9\n(H) 1, 7, 4, 8 and 9\n(I) 1 and 2\n(J) 4, 5 and 10\n(K) 7 and 8\n(L) only 3\n(M) 1 and 3\n(N) none of the above\n(O) only 1\n(P) 4 and 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:031", "request": "Suppose we draw this SVG path element: M 30.69381,15.41308 L 14.7964,8.0 M 14.7964,0.0 L 7.86819,4.0 M -21.91628,6.08257 L -24.45199,11.52042 L -2.53571,13.43785 L 0.0,8.0 L -21.91628,6.08257 M 0.0,8.0 L -2.53571,13.43785 M 11.3323,6.0 L 14.7964,8.0 M 0.0,8.0 L 0.0,0.0 M 20.1233,17.38365 L 0.0,8.0 M 14.7964,8.0 L 0.0,8.0 M 34.9197,17.38365 L 30.69381,15.41308 M 17.58759,22.82149 L 20.1233,17.38365 M 0.0,8.0 L 20.1233,17.38365 M 7.86819,4.0 L 11.3323,6.0 M 20.1233,17.38365 L 34.9197,17.38365 M -2.53571,13.43785 L 17.58759,22.82149 M 0.0,0.0 L 14.7964,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 5 and 8\n(B) 1 and 5\n(C) 1, 8 and 9\n(D) 5, 8 and 3\n(E) 5, 2, 3 and 9\n(F) 5, 8 and 6\n(G) only 8\n(H) 5, 8, 4 and 10\n(I) 1, 8 and 4\n(J) 5, 8 and 7\n(K) 1, 5 and 7\n(L) 1 and 2\n(M) 8, 7 and 10\n(N) 5, 8 and 2\n(O) none of the above\n(P) 5, 8 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:032", "request": "Suppose we draw this SVG path element: M 13.13878,18.76412 L 22.12005,12.47537 L 26.70866,19.02859 M 17.72739,25.31734 L 21.10834,18.06688 M 13.13878,38.76412 L 0.0,20.0 M 26.70866,19.02859 L 17.72739,25.31734 M 13.13878,18.76412 L 13.13878,38.76412 M 21.10834,18.06688 L 13.13878,18.76412 M 0.0,0.0 L 13.13878,18.76412 M 0.0,20.0 L 0.0,0.0 M 22.12005,12.47537 L 8.98127,-6.28875 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 5\n(B) only 7\n(C) 5 and 9\n(D) 5, 8 and 1\n(E) 8 and 10\n(F) 5 and 8\n(G) 5, 8, 3 and 10\n(H) none of the above\n(I) 8 and 1\n(J) 8 and 7\n(K) 5, 8 and 3\n(L) 8 and 2\n(M) 5, 8 and 7\n(N) only 8\n(O) 5, 8, 3 and 9\n(P) 8, 4 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:033", "request": "Suppose we draw this SVG path element: M 18.61754,13.30666 L 11.91899,0.0 M -0.74817,33.13135 L 4.0791,30.70131 M 6.69855,19.30666 L 18.61754,13.30666 M -8.88106,16.9754 L -11.49349,11.7858 L -0.73609,18.84655 M -4.79494,25.09246 L -0.74817,33.13135 M 6.69855,19.30666 L -4.79494,25.09246 M 0.0,0.0 L 0.0,6.0 M 11.91899,0.0 L 0.0,6.0 M -4.79494,25.09246 L -8.88106,16.9754 M -0.73609,18.84655 L 0.0,6.0 M 4.0791,30.70131 L 10.74532,27.34555 M 0.0,6.0 L 6.69855,19.30666 M 11.91899,0.0 L 0.0,0.0 M 0.0,6.0 L 11.91899,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 4\n(B) 1, 4 and 8\n(C) 4 and 8\n(D) only 8\n(E) 1, 8, 5 and 7\n(F) none of the above\n(G) 4 and 3\n(H) 4, 8 and 3\n(I) 1, 3 and 5\n(J) 1 and 9\n(K) only 3\n(L) only 1\n(M) only 10\n(N) 4, 8 and 10\n(O) 1, 4, 8 and 3\n(P) 7 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:035", "request": "Suppose we draw this SVG path element: M 0.0,15.12314 L -1.42964,11.19522 M -10.53395,18.95718 L -17.85416,21.62152 M -20.12859,15.37256 L -17.85416,21.62152 M 10.15741,6.18138 L 6.86312,11.88727 M -24.35254,3.76736 L -20.12859,15.37256 M 0.0,21.17215 L 7.41216,21.17215 M 13.72623,21.17215 L 13.72623,15.12314 L 13.72623,-0.0 M -1.42964,11.19522 L -6.49838,-2.73102 M -17.85416,21.62152 L -5.17771,17.00767 M -17.85416,21.62152 L -17.85416,23.98063 M 0.0,21.17215 L 0.0,15.12314 M 6.86312,11.88727 L 0.0,0.0 M 13.72623,-0.0 L 10.15741,6.18138 M 0.0,15.12314 L 0.0,21.17215 M -17.85416,27.67053 L 0.0,21.17215 M 4.25513,15.12314 L 13.72623,15.12314 L 0.0,15.12314 M 7.41216,21.17215 L 13.72623,21.17215 M 0.0,10.1325 L 0.0,15.12314 M -17.85416,23.98063 L -17.85416,27.67053 M 0.0,15.12314 L -10.53395,18.95718 M 0.0,0.0 L 0.0,10.1325 M -5.17771,17.00767 L 0.0,15.12314 L 4.25513,15.12314 M -6.49838,-2.73102 L -24.35254,3.76736 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 1\n(B) 1 and 2\n(C) 1, 2, 5 and 8\n(D) 1, 2 and 8\n(E) 1, 5 and 10\n(F) 2, 5 and 8\n(G) 1, 2, 5, 8, 3 and 10\n(H) 1, 2, 8, 9 and 10\n(I) 1, 5, 8 and 4\n(J) 2, 5, 6 and 7\n(K) 5 and 10\n(L) only 8\n(M) 2, 5, 8 and 4\n(N) 1, 2, 6 and 10\n(O) 2, 8, 4 and 9\n(P) 8 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:036", "request": "Suppose we draw this SVG path element: M -2.85647,1.35027 L -22.55262,-2.12269 M -54.23337,3.93524 L -34.49982,-3.24718 M -35.44577,23.85359 L -15.71222,16.67116 M -22.55262,-2.12269 L -31.03805,0.96575 M 0.0,-10.33117 L -22.55262,-2.12269 M -42.28617,5.05973 L -35.44577,23.85359 M 11.7879,1.1095 L 15.9296,1.49932 M 0.0,0.0 L 11.7879,1.1095 M 0.0,0.0 L 0.0,-10.33117 M -22.55262,-2.12269 L 0.0,0.0 M -31.03805,0.96575 L -42.28617,5.05973 M -34.49982,-3.24718 L -22.55262,-2.12269 M -42.28617,5.05973 L -54.23337,3.93524 M -15.71222,16.67116 L -2.85647,1.35027 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5 and 6\n(B) 3, 5, 2 and 10\n(C) 5, 7 and 4\n(D) only 7\n(E) 3, 5 and 7\n(F) 3 and 5\n(G) 5, 7 and 9\n(H) 1, 2 and 8\n(I) 3 and 7\n(J) 5 and 7\n(K) only 5\n(L) 3, 5, 7 and 4\n(M) none of the above\n(N) 3, 5, 7 and 8\n(O) 3, 8 and 9\n(P) only 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:041", "request": "Suppose we draw this SVG path element: M 4.33615,-12.78467 L -4.18697,-15.67544 M 0.0,0.0 L 13.45304,-16.77098 M -4.39727,3.8583 L 0.0,0.0 M 13.45304,-16.77098 L 3.36326,-4.19275 M 1.82118,-5.36956 L 4.33615,-12.78467 M 4.57143,3.66703 L 0.0,0.0 M 13.45304,-16.77098 L 18.02447,-13.10395 M 0.0,21.0 L 0.0,11.34 M 3.36326,-4.19275 L 0.0,0.0 M -8.52311,-2.89076 L -6.76503,5.93585 M 17.78919,-29.55565 L 13.45304,-16.77098 M 4.33615,-12.78467 L 8.50659,-17.98367 M -6.76503,5.93585 L -4.39727,3.8583 M 0.0,11.34 L 0.0,0.0 M 8.50659,-17.98367 L 17.78919,-29.55565 M 0.0,0.0 L 1.82118,-5.36956 M 18.02447,-13.10395 L 4.57143,3.66703 M 0.0,0.0 L 4.57143,3.66703 M 4.57143,24.66703 L 0.0,21.0 M -4.18697,-15.67544 L -8.52311,-2.89076 M 4.57143,3.66703 L 4.57143,24.66703 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5 and 7\n(B) 1, 5 and 7\n(C) only 7\n(D) 1, 5 and 4\n(E) 1, 5 and 3\n(F) none of the above\n(G) only 10\n(H) only 5\n(I) only 1\n(J) 1, 5 and 9\n(K) 1, 7 and 10\n(L) 7, 4 and 10\n(M) 1, 5 and 2\n(N) 1 and 7\n(O) 1, 5, 7 and 3\n(P) 7 and 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:043", "request": "Suppose we draw this SVG path element: M 0.0,22.10289 L -8.74936,17.05144 M 17.84567,22.10289 L 26.84567,22.10289 M 25.13567,9.03819 L 22.34567,4.20577 M 17.84567,12.0 L 17.84567,22.10289 M -8.74936,17.05144 L 0.0,12.0 M 26.84567,22.10289 L 17.84567,22.10289 L 17.84567,31.10289 M 12.84888,12.0 L 17.84567,12.0 M 17.84567,31.10289 L 26.84567,31.10289 M 0.0,4.08 L 0.0,0.0 M 26.84567,12.0 L 25.13567,9.03819 M 0.0,12.0 L 12.84888,12.0 M 26.84567,28.22289 L 26.84567,22.10289 M 17.84567,12.0 L 0.0,12.0 M 0.0,0.0 L 17.84567,-0.0 M 22.34567,4.20577 L 17.84567,12.0 M 0.0,12.0 L 0.0,4.08 M 26.84567,31.10289 L 26.84567,28.22289 M 26.84567,22.10289 L 26.84567,12.0 M 17.84567,22.10289 L 0.0,22.10289 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 7\n(B) 7 and 4\n(C) only 5\n(D) 2 and 3\n(E) 7 and 10\n(F) 2 and 7\n(G) 7, 4, 5, 8 and 10\n(H) none of the above\n(I) 2 and 8\n(J) only 2\n(K) 7, 3 and 8\n(L) 3, 4 and 9\n(M) 2 and 5\n(N) 2 and 4\n(O) 2, 7 and 8\n(P) 2 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:044", "request": "Suppose we draw this SVG path element: M 19.28761,7.0 L 19.28761,13.0 M 8.28761,7.0 L 0.0,7.0 L 8.28761,7.0 M 0.0,0.0 L 8.28761,0.0 M 19.28761,13.0 L 8.28761,13.0 M 8.28761,7.0 L 8.28761,13.0 M 16.97761,7.0 L 19.28761,7.0 M 8.28761,13.0 L 1.98903,13.0 M 0.0,7.0 L 0.0,0.0 M 8.28761,7.0 L 16.97761,7.0 M 1.98903,13.0 L 0.0,13.0 M 8.28761,13.0 L 8.28761,7.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 9\n(B) only 1\n(C) none of the above\n(D) 1 and 5\n(E) 7 and 8\n(F) only 8\n(G) 1 and 8\n(H) 6 and 8\n(I) only 3\n(J) 1, 8 and 10\n(K) 1 and 9\n(L) 1 and 3\n(M) 1 and 4\n(N) 2, 4 and 5\n(O) 3 and 7\n(P) 4 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:047", "request": "Suppose we draw this SVG path element: M 22.697,21.71258 L 16.697,28.9511 M 12.07762,21.6476 L 12.07762,25.12209 M 12.07762,0.0 L 6.03881,10.45952 M 18.07762,17.88357 L 22.697,21.71258 M 11.0713,31.0371 L 12.07762,25.12209 M 0.0,17.88357 L 12.07762,17.88357 M 12.07762,25.12209 L 3.98561,25.12209 M 16.697,28.9511 L 11.0713,31.0371 M 3.98561,25.12209 L 0.0,25.12209 M 6.03881,10.45952 L 0.0,0.0 M 18.07762,17.88357 L 12.07762,17.88357 M 0.0,13.59151 L 0.0,17.88357 M 12.07762,17.88357 L 12.07762,0.0 M 0.0,0.0 L 0.0,13.59151 M 12.07762,17.88357 L 12.07762,21.6476 M 12.07762,25.12209 L 18.07762,17.88357 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 10\n(B) 7 and 3\n(C) only 4\n(D) 4, 8 and 6\n(E) 8 and 10\n(F) 4, 8 and 2\n(G) 7, 8 and 6\n(H) 1, 3 and 5\n(I) 7, 8, 5 and 6\n(J) 4, 7 and 8\n(K) 4 and 7\n(L) only 7\n(M) 8, 1, 3 and 9\n(N) none of the above\n(O) only 2\n(P) 7, 8 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:050", "request": "Suppose we draw this SVG path element: M -16.7474,23.49883 L -18.28319,23.49883 M -12.43257,45.21564 L -18.28319,45.21564 M 0.0,0.0 L 0.0,4.86896 M 0.0,30.01387 L 0.0,45.21564 M -18.28319,37.18042 L -18.28319,31.70778 M 0.0,45.21564 L 0.40186,45.21564 M 6.24,45.21564 L 8.0,45.21564 M 0.0,45.21564 L -2.85949,45.21564 M 0.0,23.49883 L 0.0,26.4306 M -18.28319,23.49883 L 0.0,23.49883 M -10.39948,23.49883 L -13.1639,23.49883 M 0.0,26.4306 L 0.0,27.54141 M 1.4352,45.21564 L 6.24,45.21564 M 0.0,4.86896 L 0.0,13.15934 M -13.1639,23.49883 L -16.7474,23.49883 M 8.0,45.21564 L 8.0,23.49883 M -18.28319,45.21564 L -18.28319,39.99275 M -18.28319,23.49883 L -18.28319,0.0 M 0.40186,45.21564 L 1.4352,45.21564 M 0.0,23.49883 L -10.39948,23.49883 M 0.0,27.54141 L 0.0,30.01387 M -18.28319,39.99275 L -18.28319,37.18042 M 0.0,13.15934 L 0.0,23.49883 M -2.85949,45.21564 L -12.43257,45.21564 M -18.28319,31.70778 L -18.28319,23.49883 M 0.0,0.0 L 9.95523,21.28587 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 4, 7 and 8\n(B) 3 and 4\n(C) 1 and 9\n(D) only 9\n(E) 1 and 5\n(F) 1 and 7\n(G) 1, 6 and 7\n(H) only 5\n(I) 1 and 8\n(J) only 1\n(K) only 2\n(L) only 7\n(M) 2, 5 and 8\n(N) none of the above\n(O) 2, 5 and 6\n(P) 1 and 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:051", "request": "Suppose we draw this SVG path element: M 24.63717,-13.57522 L 17.98513,-13.57522 M 36.63717,-5.02283 L 36.63717,0.0 M 1.69293,-12.5978 L 7.05389,-9.50265 M 24.63717,17.0 L 14.04319,17.0 M 9.80115,-5.6587 L 6.32499,-3.65174 M 24.63717,0.0 L 24.63717,-13.57522 M 7.05389,-9.50265 L 11.75649,-6.78761 M 14.09757,0.0 L 14.68139,0.0 L 15.71166,0.0 M 36.63717,-13.57522 L 36.63717,-5.02283 M 0.0,11.9 L 0.0,0.0 M 5.64993,-3.26199 L 3.99721,-2.30779 M 15.71166,0.0 L 16.3985,0.0 M 20.26408,0.0 L 22.08318,0.0 L 22.74722,0.0 M 0.0,17.0 L 0.0,11.9 M 1.79874,-1.03851 L 0.0,0.0 M 17.98513,-13.57522 L 0.0,-13.57522 M 11.75649,-6.78761 L 9.80115,-5.6587 M 24.63717,0.0 L 24.63717,17.0 M 14.04319,17.0 L 0.0,17.0 M 16.3985,0.0 L 20.26408,0.0 M 3.99721,-2.30779 L 1.79874,-1.03851 M 0.0,0.0 L 0.91059,0.0 M 4.13905,0.0 L 13.79682,0.0 M 22.74722,0.0 L 24.63717,0.0 M 0.91059,0.0 L 4.13905,0.0 M 13.79682,0.0 L 14.09757,0.0 M 6.32499,-3.65174 L 5.64993,-3.26199 M 0.0,-13.57522 L 1.69293,-12.5978 M 24.63717,-13.57522 L 36.63717,-13.57522 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 8 and 7\n(B) only 1\n(C) 8, 9 and 10\n(D) 1 and 8\n(E) none of the above\n(F) 8 and 6\n(G) only 5\n(H) 4 and 9\n(I) 8 and 9\n(J) 1, 4, 6 and 9\n(K) only 8\n(L) 1, 8 and 10\n(M) 1, 4 and 7\n(N) only 2\n(O) 1, 5 and 6\n(P) 1, 8 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:052", "request": "Suppose we draw this SVG path element: M 9.50045,18.78959 L 7.20795,20.88519 M 18.9787,5.20423 L 19.40555,5.67118 M 22.1486,7.22776 L 21.4294,7.88519 M 15.45075,-5.96957 L 12.71462,-6.8359 M 13.0642,-5.24997 L 13.31735,-4.10154 M 26.15229,13.05184 L 30.28561,9.27352 M 10.61496,17.77081 L 10.28729,18.07033 M 14.22145,-0.0 L 18.9787,5.20423 M 21.4294,7.88519 L 10.90553,17.50519 M 30.44849,9.12464 L 30.49992,9.07762 M 8.95951,4.81 L 14.22145,-0.0 M 26.59604,3.16229 L 19.3881,-4.7229 M 10.28729,18.07033 L 10.08271,18.25734 M 0.0,13.0 L 8.95951,4.81 M 24.42605,5.14591 L 22.1486,7.22776 M 19.40555,5.67118 L 19.53305,5.81066 M 21.4294,7.88519 L 26.15229,13.05184 M 30.91594,8.69733 L 31.31894,8.32894 M 26.59604,3.16229 L 24.42605,5.14591 M 31.31894,8.32894 L 29.71315,6.57228 M 0.0,0.0 L 0.0,13.0 M 10.08271,18.25734 L 9.50045,18.78959 M 14.22145,-0.0 L 0.0,0.0 M 16.31697,-5.6953 L 15.45075,-5.96957 M 12.71462,-6.8359 L 13.0642,-5.24997 M 19.3881,-4.7229 L 16.31697,-5.6953 M 29.71315,6.57228 L 26.59604,3.16229 M 21.4294,7.88519 L 24.32272,5.24037 M 13.31735,-4.10154 L 14.22145,-0.0 M 24.32272,5.24037 L 26.59604,3.16229 M 30.62057,8.96734 L 30.91594,8.69733 M 30.49992,9.07762 L 30.62057,8.96734 M 19.53305,5.81066 L 19.93447,6.2498 M 10.90553,17.50519 L 10.61496,17.77081 M 19.93447,6.2498 L 20.24841,6.59323 M 30.28561,9.27352 L 30.44849,9.12464 M 20.24841,6.59323 L 21.4294,7.88519 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 4\n(B) 2 and 1\n(C) 2, 7 and 9\n(D) 4, 7 and 8\n(E) 4 and 5\n(F) 2, 4, 7, 5 and 9\n(G) 4, 7 and 6\n(H) only 2\n(I) 2 and 4\n(J) 2, 4 and 7\n(K) 7, 3 and 6\n(L) 4 and 7\n(M) 4, 7 and 1\n(N) 4, 7 and 10\n(O) 2, 4, 7, 5 and 10\n(P) only 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:053", "request": "Suppose we draw this SVG path element: M 16.93142,15.0 L 16.93142,29.71239 M 28.93142,23.55231 L 28.93142,21.91482 M 12.72396,0.0 L 16.93142,-0.0 M 0.0,29.71239 L 1.96216,28.57954 M 16.93142,29.71239 L 0.0,29.71239 M 16.93142,29.71239 L 23.29142,29.71239 M 28.93142,29.71239 L 28.93142,23.55231 M 0.0,15.0 L 13.03719,15.0 M 12.7413,22.35619 L 0.0,15.0 M 16.93142,15.0 L 13.20651,15.0 M 16.93142,-0.0 L 21.73786,2.775 M 7.04347,0.0 L 11.00542,0.0 M 13.20651,15.0 L 0.0,15.0 M 21.73786,2.775 L 29.9218,7.5 M 23.29142,29.71239 L 28.93142,29.71239 M 13.03719,15.0 L 16.93142,15.0 M 0.0,0.0 L 7.04347,0.0 M 11.00542,0.0 L 12.72396,0.0 M 1.96216,28.57954 L 2.80309,28.09403 M 28.93142,17.48934 L 28.93142,15.0 M 28.93142,21.91482 L 28.93142,17.48934 M 27.55236,8.868 L 24.92352,10.38576 M 29.9218,7.5 L 27.55236,8.868 M 24.92352,10.38576 L 23.68642,11.1 L 16.93142,15.0 M 2.80309,28.09403 L 12.7413,22.35619 M 0.0,15.0 L 0.0,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 8 and 5\n(B) 7, 8 and 9\n(C) 8, 1, 5 and 6\n(D) 8 and 10\n(E) only 7\n(F) 3 and 9\n(G) 8, 3 and 5\n(H) 7, 4 and 10\n(I) 8 and 4\n(J) 7 and 8\n(K) only 5\n(L) 8 and 6\n(M) 8 and 9\n(N) only 1\n(O) none of the above\n(P) 8 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:054", "request": "Suppose we draw this SVG path element: M 8.75456,20.3853 L 16.75814,28.74156 M -1.84633,-8.95667 L -2.22089,-9.06574 M 16.99522,17.74411 L 22.05075,12.90195 M 8.99164,9.38786 L 16.99522,17.74411 M -0.55522,-2.26643 L 0.0,0.0 M 18.21346,5.52208 L 15.73235,2.93164 M 16.75814,28.74156 L 16.9478,19.9436 M 11.5971,-1.38584 L 10.06762,-2.98271 M 16.9478,19.9436 L 16.99522,17.74411 M 23.15712,10.68357 L 22.89707,10.41206 M 16.99522,17.74411 L 14.59415,15.23724 M 12.8844,5.65939 L 15.73235,2.93164 M 3.68657,14.46902 L 6.28605,11.97925 M -1.34982,-8.81209 L -1.84633,-8.95667 M 22.89707,10.41206 L 21.02992,8.46264 M 8.99164,9.38786 L 11.35089,7.12818 M 1.00529,-8.12631 L -0.80814,-8.65436 L -1.34982,-8.81209 M 8.99164,9.38786 L 0.0,0.0 M 23.73593,11.28789 L 23.15712,10.68357 M 23.4727,11.54 L 23.73593,11.28789 M 22.05075,12.90195 L 23.36519,11.64298 M 0.0,18.0 L 2.3594,15.74017 M 21.02992,8.46264 L 18.21346,5.52208 M 14.59415,15.23724 L 8.99164,9.38786 M 2.3594,15.74017 L 3.68657,14.46902 M 11.45906,7.02457 L 10.49617,7.94683 M 10.16517,8.26386 L 8.99164,9.38786 M 23.36519,11.64298 L 23.4727,11.54 M 0.0,0.0 L 0.0,9.954 M 0.0,12.6 L 0.0,18.0 M 10.06762,-2.98271 L 6.74071,-6.45622 M 8.99164,9.38786 L 8.75456,20.3853 M 6.28605,11.97925 L 8.99164,9.38786 M 6.38406,6.66538 L 8.99164,9.38786 M 12.00069,6.5058 L 11.45906,7.02457 M 13.17088,5.385 L 12.00069,6.5058 M -2.22089,-9.06574 L -0.55522,-2.26643 M 0.0,9.954 L 0.0,12.6 M 6.74071,-6.45622 L 1.00529,-8.12631 M 10.49617,7.94683 L 10.16517,8.26386 M 15.73235,2.93164 L 11.5971,-1.38584 M 0.0,0.0 L 6.38406,6.66538 M 11.35089,7.12818 L 12.8844,5.65939 M 15.73235,2.93164 L 13.17088,5.385 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 4, 7 and 10\n(B) 1, 5, 7 and 3\n(C) 4 and 7\n(D) 4, 5 and 7\n(E) 1, 4, 5 and 7\n(F) only 7\n(G) 1 and 5\n(H) 1, 5, 7 and 6\n(I) 4, 2 and 8\n(J) 1, 5 and 7\n(K) 7 and 3\n(L) 1, 4 and 5\n(M) only 1\n(N) 1, 4, 7, 3 and 9\n(O) 1, 4, 5 and 3\n(P) 1, 5, 3 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:058", "request": "Suppose we draw this SVG path element: M -18.7007,-7.64381 L -17.88155,-7.64381 M -21.1007,-7.64381 L -24.7007,-7.64381 M -18.7007,0.78222 L -18.7007,3.00855 M -2.26091,-7.64381 L 0.0,-7.64381 M -8.41532,0.0 L -18.7007,0.0 M 0.0,15.04273 L 0.0,6.46837 M -18.7007,0.0 L -18.7007,0.78222 M 1.86739,1.51846 L 7.46954,6.07386 M -18.7007,3.00855 L -18.7007,11.19179 M -9.69682,-7.64381 L -9.144,-7.64381 M -16.14087,-7.64381 L -12.88291,-7.64381 M -5.68291,-7.64381 L -2.26091,-7.64381 M -2.35629,0.0 L -5.62817,0.0 M 0.0,0.0 L 1.86739,1.51846 M 0.0,0.0 L -0.61264,0.0 M -7.29327,-7.64381 L -5.68291,-7.64381 M -11.03341,15.04273 L 0.0,15.04273 M -18.7007,11.19179 L -18.7007,15.04273 L -11.03341,15.04273 M -10.42962,-7.64381 L -9.69682,-7.64381 M -12.88291,-7.64381 L -10.42962,-7.64381 M -5.62817,0.0 L -8.41532,0.0 M -24.7007,-1.68164 L -24.7007,-1.1267 M 0.0,6.46837 L 0.0,0.0 M -18.7007,-7.64381 L -21.1007,-7.64381 M -24.7007,-1.1267 L -24.7007,0.0 M -24.7007,-7.64381 L -24.7007,-1.68164 M 7.46954,6.07386 L 11.67116,9.4904 M -9.144,-7.64381 L -7.29327,-7.64381 M -18.7007,0.0 L -18.7007,-7.64381 M -17.88155,-7.64381 L -16.14087,-7.64381 M -0.61264,0.0 L -2.35629,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1 and 10\n(B) only 7\n(C) 2, 6 and 8\n(D) 1 and 4\n(E) 1 and 6\n(F) only 1\n(G) none of the above\n(H) 1, 3 and 4\n(I) 1 and 9\n(J) 1, 3 and 9\n(K) 6 and 9\n(L) 1 and 7\n(M) 6 and 10\n(N) 7 and 8\n(O) 1 and 3\n(P) only 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:060", "request": "Suppose we draw this SVG path element: M 5.18221,-11.14137 L 1.14009,-2.4511 M 0.0,5.13 L 0.0,14.4229 M 9.40443,-21.60915 L 11.4963,-18.62778 M 3.5912,16.48025 L 5.98534,14.80041 M 13.63668,9.43187 L 11.47444,10.949 L 9.92437,12.0366 M 2.8287,-1.98475 L 9.12485,-6.40243 M 0.0,1.3851 L 0.0,5.13 M 8.93334,12.73195 L 2.144,3.05567 M 4.49284,-18.16295 L 9.40443,-21.60915 M -5.51538,-10.19504 L 0.65348,-10.74075 M 2.144,3.05567 L 0.0,0.0 M 11.4963,-18.62778 L 14.90936,-13.76343 M 9.12485,-6.40243 L 11.55044,-8.10434 M 0.65348,-10.74075 L 1.36947,-10.80409 M 1.14009,-2.4511 L 0.0,0.0 L 0.0,1.3851 M 14.90936,-13.76343 L 16.46203,-11.55054 M 20.48378,4.62761 L 13.63668,9.43187 M 0.0,0.0 L 2.8287,-1.98475 M 4.49284,-18.16295 L 1.37422,-15.97478 M 0.0,14.4229 L 0.0,19.0 M 1.37422,-15.97478 L -7.0576,-10.05861 M -6.61036,-10.09817 L -5.51538,-10.19504 M 5.97494,-16.05064 L 4.49284,-18.16295 M 11.55044,-8.10434 L 15.65978,-2.24764 M 1.36947,-10.80409 L 2.96313,-10.94507 L 5.18221,-11.14137 M 11.55044,-8.10434 L 5.97494,-16.05064 M 9.92437,12.0366 L 9.36939,12.426 M 5.98534,14.80041 L 8.93334,12.73195 M 0.0,19.0 L 3.5912,16.48025 M 9.36939,12.426 L 8.93334,12.73195 M -7.0576,-10.05861 L -6.61036,-10.09817 M 15.65978,-2.24764 L 20.48378,4.62761 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 4\n(B) 1, 8, 3 and 7\n(C) 1, 4 and 8\n(D) 4 and 8\n(E) 1 and 2\n(F) 1 and 4\n(G) 4, 8, 3 and 6\n(H) 8 and 3\n(I) 1, 4, 8, 5 and 9\n(J) 1, 4 and 3\n(K) only 1\n(L) 4, 8 and 3\n(M) only 8\n(N) 8, 2 and 3\n(O) 4 and 9\n(P) 4, 8 and 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:061", "request": "Suppose we draw this SVG path element: M 10.31394,17.86427 L 0.0,0.0 M 11.08521,16.5284 L 10.8355,16.96091 M 30.12788,5.45846 L 27.70348,9.94991 M 12.78929,13.57685 L 11.7593,15.36085 M 0.0,0.0 L 0.0,1.88155 M 5.90992,26.47027 L 0.0,23.05817 M 14.07125,31.18221 L 5.90992,26.47027 M 34.49788,23.05817 L 39.62788,23.05817 M 9.70916,33.70066 L 11.01343,32.94764 M 39.62788,36.73905 L 39.62788,39.30625 M 20.62788,39.30625 L 0.0,39.30625 M 0.0,5.53396 L 0.0,12.71889 M 20.62788,23.05817 L 20.62788,17.06305 M 20.62788,23.05817 L 34.49788,23.05817 M 25.42014,14.18003 L 24.61788,15.66629 M 39.62788,32.80701 L 39.62788,36.05663 M 22.98198,18.69696 L 21.6166,21.22646 M 12.54452,32.06367 L 14.07125,31.18221 M 39.62788,39.30625 L 20.62788,39.30625 M 39.62788,36.5548 L 39.62788,36.73905 M 17.80599,4.88767 L 16.98626,6.30748 M 39.62788,23.05817 L 39.62788,32.80701 M 27.70348,9.94991 L 25.42014,14.18003 M 34.21288,13.02634 L 30.12788,5.45846 M 0.0,39.30625 L 2.13602,38.07302 M 20.62788,23.05817 L 20.62788,28.58252 M 0.0,12.71889 L 0.0,23.05817 M 11.01343,32.94764 L 12.54452,32.06367 M 11.37834,16.02068 L 11.08521,16.5284 M 2.13602,38.07302 L 7.58868,34.92492 M 20.62788,28.58252 L 20.62788,39.30625 M 16.98626,6.30748 L 15.64881,8.62402 M 5.77581,23.05817 L 20.62788,23.05817 M 11.7593,15.36085 L 11.37834,16.02068 M 0.0,3.89038 L 0.0,5.53396 M 20.62788,39.30625 L 20.62788,23.05817 M 20.62788,0.0 L 17.80599,4.88767 M 15.64881,8.62402 L 12.78929,13.57685 M 10.68946,17.21385 L 10.31394,17.86427 M 39.62788,23.05817 L 34.21288,13.02634 M 39.62788,36.05663 L 39.62788,36.5548 M 20.62788,17.06305 L 20.62788,0.0 M 0.0,23.05817 L 5.77581,23.05817 M 0.0,1.88155 L 0.0,3.89038 M 21.6166,21.22646 L 20.62788,23.05817 M 10.8355,16.96091 L 10.68946,17.21385 M 24.61788,15.66629 L 22.98198,18.69696 M 7.58868,34.92492 L 9.70916,33.70066 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 3 and 8\n(B) 1 and 9\n(C) 3, 8 and 7\n(D) 3, 5 and 9\n(E) 1, 3, 8 and 6\n(F) 3 and 4\n(G) 1 and 8\n(H) 1 and 3\n(I) 8, 2, 6 and 10\n(J) 1, 8 and 4\n(K) only 3\n(L) 1, 3, 8, 5 and 6\n(M) only 8\n(N) 3 and 8\n(O) only 1\n(P) 1, 3, 2 and 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:068", "request": "Suppose we draw this SVG path element: M -0.57462,2.76084 L 0.0,0.0 M -0.97636,4.69107 L -0.57462,2.76084 M -10.39408,-12.36782 L -10.03075,-11.26551 M -6.74263,-1.28973 L -6.39433,-0.23301 L -6.01159,0.92819 M 0.0,-23.0 L 0.0,-10.4075 M -3.62128,-10.98657 L -4.69565,-14.24608 M -5.69843,1.87826 L -3.90809,3.4766 M -2.62956,-7.9778 L -3.62128,-10.98657 M -1.22259,5.87412 L -0.97636,4.69107 M -5.14054,-24.67765 L -4.89875,-25.24421 M -4.69565,-14.24608 L -7.09412,-13.45552 M -4.69565,-37.24608 L -2.93948,-31.91805 M -3.90809,3.4766 L -1.22259,5.87412 M 0.0,0.0 L 7.51304,22.79373 M -4.89875,-25.24421 L -4.79923,-19.85513 M 0.0,0.0 L -2.62956,-7.9778 M -1.50261,-27.55875 L 0.0,-23.0 M 0.0,-10.4075 L 0.0,-6.21 M -7.48278,-3.53525 L -6.74263,-1.28973 M -2.93948,-31.91805 L -1.50261,-27.55875 M -10.03075,-11.26551 L -9.63714,-10.07135 M 0.0,-6.21 L 0.0,0.0 M -10.39408,-12.36782 L -6.10772,-22.4114 M -8.17169,-13.10034 L -10.39408,-12.36782 M -4.79923,-19.85513 L -4.69565,-14.24608 M -6.01159,0.92819 L -5.69843,1.87826 M -6.10772,-22.4114 L -5.14054,-24.67765 M -7.09412,-13.45552 L -8.17169,-13.10034 M -7.9352,-4.90783 L -7.48278,-3.53525 M -4.69565,-14.24608 L -4.69565,-37.24608 M -9.63714,-10.07135 L -7.9352,-4.90783 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 7\n(B) 5, 7 and 2\n(C) 3, 7, 4 and 10\n(D) none of the above\n(E) 5 and 2\n(F) 5 and 7\n(G) 5 and 9\n(H) 3, 5 and 7\n(I) 3 and 5\n(J) 3 and 7\n(K) 5 and 1\n(L) 5, 7 and 8\n(M) 3, 5, 7 and 9\n(N) 3, 8, 9 and 10\n(O) 3, 7, 1 and 6\n(P) 3, 5, 1, 9 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:071", "request": "Suppose we draw this SVG path element: M -26.47637,1.04407 L -29.04166,-2.21429 M 5.45931,0.0 L 9.08975,0.0 M -25.29607,-5.16317 L -24.25006,-5.98669 M -6.83409,-5.213 L -7.29266,-4.06573 M -21.78166,-7.93005 L -16.07738,-12.42101 M 5.72318,8.0 L 0.0,8.0 M -26.02295,-4.5909 L -25.29607,-5.16317 M 21.56429,8.0 L 16.83288,8.0 M -21.0,8.0 L -4.83,8.0 M 22.74714,0.0 L 29.67534,4.0 M -5.38197,-8.84602 L -6.83409,-5.213 M -15.51092,3.67847 L -21.0,8.0 M 9.08975,0.0 L 22.74714,0.0 M 0.0,8.0 L 0.0,3.6832 M -21.0,8.0 L -24.3775,3.71 M -3.21072,-14.27816 L -5.38197,-8.84602 M 8.64391,8.0 L 22.74714,8.0 M -4.90178,1.77389 L -8.03571,-2.20673 M 29.67534,4.0 L 24.40991,7.04 M -4.83,8.0 L -4.03015,8.0 M -2.69598,4.57564 L -4.90178,1.77389 M -29.04166,-2.21429 L -26.02295,-4.5909 M 0.0,8.0 L -2.69598,4.57564 M 0.0,1.92 L 0.0,0.0 M -4.03015,8.0 L -2.6082,8.0 M -24.25006,-5.98669 L -21.78166,-7.93005 M 16.83288,8.0 L 5.72318,8.0 M -13.48071,2.0801 L -15.51092,3.67847 M -7.29266,-4.06573 L -8.03571,-2.20673 M 0.0,3.6832 L 0.0,1.92 M 22.74714,8.0 L 21.56429,8.0 M 0.0,0.0 L 5.45931,0.0 M -6.81338,-13.75816 L -3.21072,-14.27816 M -8.03571,-2.20673 L -13.48071,2.0801 M 23.92771,7.3184 L 22.74714,8.0 M 0.0,8.0 L 8.64391,8.0 M -24.3775,3.71 L -26.47637,1.04407 M -2.6082,8.0 L -1.33018,8.0 M -16.07738,-12.42101 L -6.81338,-13.75816 M -1.33018,8.0 L 0.0,8.0 M 24.40991,7.04 L 23.92771,7.3184 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 10\n(B) 7 and 1\n(C) 4, 7 and 8\n(D) 4 and 8\n(E) only 3\n(F) only 7\n(G) 4 and 7\n(H) only 9\n(I) only 4\n(J) 8 and 10\n(K) 7 and 8\n(L) 7, 2, 3, 6, 8 and 10\n(M) 4, 7 and 1\n(N) 4, 5 and 10\n(O) none of the above\n(P) 1 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:074", "request": "Suppose we draw this SVG path element: M 18.12592,9.20613 L 17.95687,7.75461 M 0.0,9.0 L 4.48922,8.68865 M -2.12569,-2.85775 L -1.42421,-1.91469 M -0.55544,-0.74673 L 0.0,0.0 M 13.18847,-12.77868 L 9.56837,-14.34201 L 6.724,-15.57034 M 20.71371,1.37077 L 24.68086,-7.81573 M 13.46765,5.81596 L 0.0,0.0 L 0.0,1.4742 M 35.14421,5.01616 L 33.25813,9.38364 M 0.0,1.4742 L 0.0,3.78 M 6.724,-15.57034 L -10.12231,-13.60833 M 24.68086,-7.81573 L 38.17001,-1.99049 M 18.33044,10.96221 L 18.22101,10.02261 M -8.12316,-10.92069 L -2.12569,-2.85775 M 17.95687,7.75461 L 20.71371,1.37077 M 24.68086,-7.81573 L 39.27543,-9.5155 M 29.79078,14.81106 L 25.31553,18.1399 M 38.17001,-1.99049 L 37.14124,0.39177 M 25.31553,18.1399 L 19.65663,22.34917 M 24.68086,-7.81573 L 13.18847,-12.77868 M 37.14124,0.39177 L 35.14421,5.01616 M -10.12231,-13.60833 L -8.12316,-10.92069 M 0.0,3.78 L 0.0,9.0 M 31.44601,13.57985 L 29.79078,14.81106 M 18.58578,13.1546 L 18.33044,10.96221 M 33.25813,9.38364 L 31.44601,13.57985 M 18.22101,10.02261 L 18.12592,9.20613 M 19.65663,22.34917 L 19.3675,19.86664 M -1.42421,-1.91469 L -0.55544,-0.74673 M 19.3675,19.86664 L 18.58578,13.1546 M 4.48922,8.68865 L 17.95687,7.75461 M 0.0,0.0 L 17.95687,7.75461 L 13.46765,5.81596 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 2\n(B) only 3\n(C) only 1\n(D) 1 and 2\n(E) 3, 7, 4 and 9\n(F) 3 and 7\n(G) only 4\n(H) only 7\n(I) 3, 7 and 1\n(J) 3, 7, 2 and 8\n(K) 3, 7 and 6\n(L) none of the above\n(M) only 6\n(N) 7 and 2\n(O) 7 and 8\n(P) 3 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:075", "request": "Suppose we draw this SVG path element: M 1.3662,4.05848 L 0.0,0.0 M 19.15079,5.261 L 19.74119,7.01486 M 3.42428,-5.22304 L 3.08562,-4.70648 M -5.40492,-6.34692 L -6.69034,-4.38627 M 0.0,0.0 L 3.63501,-5.54445 M 3.59048,-1.20866 L 15.61079,-5.25504 M -4.40229,-7.87622 L -5.40492,-6.34692 M 21.61079,12.56876 L 6.0,17.8238 M 15.61079,-5.25504 L 16.77899,-1.78475 M 15.61079,-5.25504 L 10.54289,-6.61744 L 8.34015,-7.2096 M 6.0,21.1439 L 6.0,23.0938 M 5.2188,15.50314 L 4.14,12.29842 L 1.3662,4.05848 M 3.63501,-5.54445 L 3.97797,-6.06756 M 6.0,23.0938 L 6.0,28.4896 M 4.29089,-6.54487 L 3.42428,-5.22304 M 19.74119,7.01486 L 20.82556,10.23612 M 3.97797,-6.06756 L 5.26813,-8.03544 L 4.29089,-6.54487 M -1.42221,-12.42171 L -3.47678,-9.28789 M 0.0,0.0 L 6.0,17.8238 M 0.0,17.0 L 0.0,12.0904 M 3.3,26.80309 L 0.0,17.0 M 0.0,4.08 L 0.0,0.0 M 6.0,28.4896 L 6.0,34.8238 M 2.262,-0.76146 L 3.59048,-1.20866 M 1.95184,-2.97713 L 0.0,0.0 L 2.262,-0.76146 M 5.379,32.97904 L 3.3,26.80309 M 0.0,12.0904 L 0.0,4.08 M 7.48353,-7.43988 L 6.92968,-7.58877 M 6.0,17.8238 L 5.2188,15.50314 M 8.34015,-7.2096 L 7.48353,-7.43988 M 3.08562,-4.70648 L 1.95184,-2.97713 M 5.26813,-8.03544 L -1.42221,-12.42171 M 16.77899,-1.78475 L 19.15079,5.261 M 6.0,34.8238 L 5.379,32.97904 M 6.92968,-7.58877 L 5.26813,-8.03544 M 20.82556,10.23612 L 21.61079,12.56876 M 6.0,17.8238 L 6.0,21.1439 M -3.47678,-9.28789 L -4.40229,-7.87622 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 1\n(B) only 5\n(C) 3, 5, 7 and 9\n(D) 1 and 3\n(E) only 6\n(F) 1, 2 and 4\n(G) 1, 3 and 7\n(H) 3 and 5\n(I) 3 and 10\n(J) 1, 3 and 5\n(K) only 3\n(L) none of the above\n(M) 6 and 10\n(N) only 2\n(O) 5 and 9\n(P) 5 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:076", "request": "Suppose we draw this SVG path element: M 26.92974,-2.33827 L 23.77974,-7.79423 M 22.24974,-14.56378 L 28.27974,-14.56378 M 19.27974,-14.56378 L -0.0,-14.56378 M 19.27974,-9.02954 L 19.27974,-14.56378 M 19.27974,-15.45178 L 19.27974,-16.41946 M 0.0,6.0 L 4.81994,4.5 M 19.27974,-14.56378 L 22.24974,-14.56378 M 0.0,0.0 L 0.0,2.94 M 0.0,0.0 L 7.86806,0.0 M 0.0,2.94 L 0.0,6.0 M 23.77974,-7.79423 L 20.62974,-2.33827 M 28.27974,-14.56378 L 26.43474,-14.56378 M 28.27974,-8.15572 L 28.27974,-2.2836 M 19.84674,-0.98207 L 19.27974,-0.0 M 14.8454,0.0 L 19.27974,-0.0 L 19.27974,-9.02954 M 15.66479,1.125 L 19.27974,-0.0 M 28.27974,-24.56378 L 28.27974,-21.41378 M 28.27974,-15.89778 L 28.27974,-14.56378 M 20.62974,-2.33827 L 19.84674,-0.98207 M 28.27974,-21.41378 L 28.27974,-20.36378 M 28.27974,-14.56378 L 28.27974,-8.15572 M 19.27974,-0.0 L 0.0,0.0 M 19.27974,-14.56378 L 19.27974,-14.94562 M 19.27974,-16.41946 L 19.27974,-16.96378 M 23.95974,-24.56378 L 28.27974,-24.56378 M 4.81994,4.5 L 15.66479,1.125 M 26.43474,-14.56378 L 23.77974,-14.56378 M 19.27974,-14.94562 L 19.27974,-15.45178 M 28.27974,-0.0 L 26.92974,-2.33827 M 28.27974,-20.36378 L 28.27974,-15.89778 M 19.27974,-24.56378 L 23.95974,-24.56378 M 7.86806,0.0 L 14.8454,0.0 M 28.27974,-2.2836 L 28.27974,-0.0 M 19.27974,-16.96378 L 19.27974,-24.56378 M 23.77974,-14.56378 L 19.27974,-14.56378 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1 and 9\n(B) 1, 9 and 10\n(C) 4, 8 and 9\n(D) only 10\n(E) only 4\n(F) 1, 4, 8 and 10\n(G) 4 and 10\n(H) only 8\n(I) 1, 4 and 8\n(J) 4, 8, 2 and 6\n(K) none of the above\n(L) 1 and 8\n(M) 1, 4, 5 and 9\n(N) 1 and 4\n(O) only 6\n(P) 1, 8 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:077", "request": "Suppose we draw this SVG path element: M -6.41264,22.2473 L -6.41264,20.30957 M 5.59862,18.38921 L 5.59862,12.60207 M 0.0,7.56124 L 0.0,11.34186 M 3.07924,12.60207 L 5.59862,12.60207 M 1.59001,22.2473 L 3.97502,22.2473 M 0.0,22.2473 L 1.59001,22.2473 M 0.0,12.1862 L 0.0,12.60207 M 1.11972,1.93942 L 0.33592,0.58183 M 3.83505,3.05459 L 3.36897,3.86187 M -6.41264,17.52114 L -6.41264,12.60207 M 0.0,11.97197 L 0.0,12.1862 M 0.0,12.60207 L 0.0,22.2473 M -6.41264,18.07883 L -6.41264,17.52114 M 5.59862,9.07349 L 5.59862,-0.0 M 0.0,11.34186 L 0.0,11.97197 M 0.0,22.2473 L -2.19325,28.27321 M 3.97502,22.2473 L 5.59862,22.2473 M 0.0,22.2473 L -3.27045,22.2473 M 0.0,12.60207 L 3.07924,12.60207 M 0.33592,0.58183 L 0.24186,0.41892 M 5.59862,22.2473 L 5.59862,18.38921 M -3.27045,22.2473 L -6.41264,22.2473 M 5.59862,-0.0 L 4.50521,1.89385 M 0.24186,0.41892 L 0.0,0.0 M 2.79931,4.84855 L 1.11972,1.93942 M 0.0,0.0 L 0.0,7.56124 M 4.50521,1.89385 L 3.83505,3.05459 M 5.59862,12.60207 L 0.0,12.60207 M -6.41264,20.30957 L -6.41264,18.07883 M 3.36897,3.86187 L 2.79931,4.84855 M 5.59862,12.60207 L 5.59862,9.07349 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 8\n(B) only 1\n(C) 1 and 8\n(D) none of the above\n(E) only 5\n(F) 1, 8 and 4\n(G) 1, 7 and 10\n(H) only 3\n(I) only 6\n(J) only 7\n(K) 8 and 4\n(L) 1, 2 and 5\n(M) 1, 8 and 7\n(N) 4 and 7\n(O) 1, 8 and 2\n(P) 1, 8, 2, 5 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:078", "request": "Suppose we draw this SVG path element: M 10.48836,9.7389 L 10.48836,5.94 M 17.48169,39.07857 L 17.28369,38.72651 M 14.21662,26.64381 L 14.37304,26.64381 M 10.48836,11.367 L 10.48836,9.7389 M 1.1554,26.64381 L 0.0,26.64381 M 16.82169,37.90503 L 10.48836,26.64381 L 7.57889,26.64381 M 3.7606,6.51356 L 1.6257,2.81579 M 10.48836,18.64524 L 10.48836,19.50056 M 0.0,18.0 L 10.48836,18.0 M 2.83186,26.64381 L 1.44425,26.64381 M 17.28169,31.68173 L 18.35969,38.52737 M 10.48836,22.84053 L 10.48836,26.64381 M 5.24418,9.08319 L 3.7606,6.51356 M 18.63784,41.13431 L 18.44649,40.79407 M 1.6257,2.81579 L 0.40643,0.70395 M 9.36401,1.94744 L 8.81022,2.90662 M 10.48836,20.50255 L 10.48836,22.84053 M 18.44649,40.79407 L 17.48169,39.07857 M 18.82169,41.46121 L 18.63784,41.13431 M 10.48836,26.64381 L 13.51056,26.64381 M 14.86836,26.64381 L 16.48836,26.64381 M 14.37304,26.64381 L 14.86836,26.64381 M 16.48836,26.64381 L 16.79776,28.6086 M 0.0,8.9424 L 0.0,12.96 M 10.48836,19.50056 L 10.48836,20.50255 M 16.48836,26.64381 L 16.48836,24.05067 M 8.81022,2.90662 L 5.24418,9.08319 M 1.44425,26.64381 L 1.1554,26.64381 M 10.48836,18.0 L 10.48836,18.64524 M 10.48836,18.0 L 10.48836,11.367 M 18.35969,38.52737 L 18.82169,41.46121 M 10.48836,0.0 L 9.36401,1.94744 M 0.0,12.96 L 0.0,16.1352 M 16.48836,24.05067 L 16.48836,18.0 M 0.0,0.0 L 0.0,8.9424 M 13.51056,26.64381 L 14.21662,26.64381 M 0.0,16.1352 L 0.0,18.0 M 17.28369,38.72651 L 16.92333,38.08576 M 7.57889,26.64381 L 2.83186,26.64381 M 16.92333,38.08576 L 16.82169,37.90503 M 10.48836,5.94 L 10.48836,0.0 M 16.79776,28.6086 L 17.28169,31.68173 M 0.40643,0.70395 L 0.0,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 5\n(B) only 3\n(C) 3 and 8\n(D) 3, 8 and 6\n(E) 8 and 7\n(F) 3 and 2\n(G) 8 and 6\n(H) 3, 8 and 9\n(I) 3, 8 and 10\n(J) 3 and 10\n(K) 3, 1, 4, 6 and 10\n(L) only 2\n(M) 8, 7 and 10\n(N) none of the above\n(O) 8 and 2\n(P) 3, 8 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:080", "request": "Suppose we draw this SVG path element: M 3.65508,27.2917 L 3.01539,29.27736 M 5.38462,17.31923 L 5.38462,0.0 M 0.0,38.63736 L -1.64571,38.63736 M 1.34615,21.92308 L 5.38462,21.92308 M 0.0,21.92308 L 0.0,28.94308 L 0.0,38.63736 M -3.22286,45.63736 L -6.85714,45.63736 M 5.38462,21.92308 L 5.38462,17.31923 M 2.352,31.33656 L 1.6464,33.5268 M 0.0,0.0 L 0.0,6.13846 M 0.67308,1.1658 L 0.0,0.0 M 3.01539,29.27736 L 2.352,31.33656 M 0.0,6.13846 L 0.0,21.92308 M 1.6464,33.5268 L 0.0,38.63736 M 3.47254,3.31181 L 2.69231,4.66321 M -1.09714,23.82339 L 0.0,21.92308 M -4.19931,38.63736 L -6.85714,38.63736 M -0.0,45.63736 L -3.22286,45.63736 M -6.85714,21.92308 L -3.42857,27.86154 M 0.0,31.95165 L 0.0,21.92308 L 0.53846,21.92308 L 1.34615,21.92308 M -6.85714,41.41286 L -6.85714,38.63736 M -1.64571,38.63736 L -4.19931,38.63736 M -6.85714,43.18736 L -6.85714,41.41286 M 3.82308,2.70466 L 3.47254,3.31181 M 5.38462,0.0 L 3.82308,2.70466 M 5.38462,21.92308 L 4.90035,23.42629 M 0.0,44.23736 L 0.0,44.61536 L -0.0,45.63736 M -6.85714,45.63736 L -6.85714,43.18736 M -6.85714,38.63736 L -6.85714,21.92308 M 4.90035,23.42629 L 3.65508,27.2917 M 2.69231,4.66321 L 0.67308,1.1658 M 0.0,38.63736 L 0.0,31.95165 M -3.42857,27.86154 L -1.09714,23.82339 M 0.0,38.63736 L 0.0,44.23736 M -6.85714,38.63736 L 0.0,38.63736 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 8\n(B) 4, 8, 2 and 6\n(C) only 2\n(D) 1 and 4\n(E) 1 and 7\n(F) 1, 8 and 5\n(G) only 1\n(H) 8 and 5\n(I) 1, 4 and 8\n(J) 1, 8, 3 and 9\n(K) 1, 4 and 3\n(L) only 6\n(M) none of the above\n(N) only 5\n(O) 1, 8 and 7\n(P) 4, 8, 2 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:082", "request": "Suppose we draw this SVG path element: M 7.30312,-0.41078 L 8.05397,-0.45301 M 9.32751,-8.80979 L 5.21485,-8.57847 M 9.79206,-0.55077 L 3.8189,-0.2148 M 9.79206,-0.55077 L 16.26289,-0.91473 M 23.06456,8.77365 L 22.49989,-1.26554 M 9.37554,-7.95581 L 9.42323,-7.10804 M 9.79206,-0.55077 L 10.50683,12.15707 M 15.46288,11.87831 L 19.18373,11.66903 M 9.42323,-7.10804 L 9.54585,-4.92805 M 22.49989,-1.26554 L 21.92347,-1.23312 M 14.22387,11.948 L 15.46288,11.87831 M 9.79206,-0.55077 L 9.32751,-8.80979 M 23.21466,11.4423 L 23.06456,8.77365 M 9.54585,-4.92805 L 9.79206,-0.55077 M 19.18373,11.66903 L 23.21466,11.4423 M 5.21485,-8.57847 L -0.46454,-8.25902 M 6.80255,-0.38262 L 7.30312,-0.41078 M 13.36895,11.99609 L 14.22387,11.948 M 16.26289,-0.91473 L 19.45001,-1.094 M 21.82892,-1.2278 L 22.49989,-1.26554 M 6.66643,2.17864 L 7.44196,1.50142 M 20.08343,-9.41477 L 15.93559,-9.18147 M 2.8397,-0.15972 L 5.57407,-0.31352 M 22.03535,-9.52456 L 20.08343,-9.41477 M 21.92347,-1.23312 L 21.6993,-1.22051 M 22.49989,-1.26554 L 22.03535,-9.52456 M 19.83125,-1.11544 L 9.79206,-0.55077 M 5.09187,3.5536 L 6.66643,2.17864 M 15.93559,-9.18147 L 9.32751,-8.80979 M 10.50683,12.15707 L 13.36895,11.99609 M 19.45001,-1.094 L 21.82892,-1.2278 M 3.8189,-0.2148 L 0.0,0.0 M 21.6993,-1.22051 L 19.83125,-1.11544 M 0.0,0.0 L 0.0,8.0 M 2.15817,-0.12139 L 2.8397,-0.15972 M 0.0,8.0 L 5.09187,3.5536 M 0.0,0.0 L 2.15817,-0.12139 M 8.05397,-0.45301 L 9.79206,-0.55077 M 7.44196,1.50142 L 9.79206,-0.55077 M 9.32751,-8.80979 L 9.37554,-7.95581 M 5.57407,-0.31352 L 6.80255,-0.38262 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 8\n(B) 2, 3 and 5\n(C) only 1\n(D) 1 and 2\n(E) only 2\n(F) 1, 2 and 3\n(G) 1, 3 and 10\n(H) 1, 3 and 4\n(I) 1 and 8\n(J) 1 and 6\n(K) 1, 2, 3 and 8\n(L) 1 and 3\n(M) 1, 2 and 6\n(N) 1, 3 and 6\n(O) 1, 2 and 7\n(P) 2 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:084", "request": "Suppose we draw this SVG path element: M 0.36872,13.90658 L 0.9218,12.26646 M 16.2045,51.75 L 14.43,51.75 M 19.5,32.1651 L 19.5,30.0075 M 0.0,0.0 L 0.0,15.0 M 0.0,17.7144 L 0.0,20.655 L 0.0,36.75 M 19.5,36.75 L 19.5,32.1651 M -2.85788,38.4 L 0.0,36.75 M 17.76278,36.75 L 19.5,36.75 M 0.0,15.0 L 0.0,17.7144 M 0.0,15.0 L 0.08481,14.74851 M -12.99038,44.25 L -2.85788,38.4 M 19.5,15.0 L 12.1875,2.33438 M 0.08481,14.74851 L 0.36872,13.90658 M 0.0,51.75 L -4.80644,48.975 M 19.5,51.75 L 16.2045,51.75 M 19.5,43.5375 L 19.5,51.75 M 12.1875,2.33438 L 9.75,-1.8875 M 14.43,51.75 L 0.0,51.75 M 9.75,-1.8875 L 5.6082,5.28631 M 2.73,10.2715 L 0.0,15.0 M 19.5,30.0075 L 19.5,22.05353 M 11.8248,36.75 L 13.26,36.75 M 1.404,36.75 L 7.02,36.75 M 19.5,22.05353 L 19.5,15.0 M 19.5,40.5 L 19.5,43.5375 M 16.5048,36.75 L 17.76278,36.75 M -4.80644,48.975 L -7.75266,47.274 L -12.99038,44.25 M 13.26,36.75 L 16.5048,36.75 M 0.9218,12.26646 L 2.01839,9.01457 M 19.5,39.0 L 19.5,40.5 M 19.5,36.75 L 19.5,39.0 M 2.01839,9.01457 L 3.41406,4.87579 L 0.0,0.0 M 7.02,36.75 L 11.8248,36.75 M 5.6082,5.28631 L 2.73,10.2715 M 0.0,36.75 L 1.404,36.75 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3, 6 and 8\n(B) 1 and 10\n(C) only 3\n(D) only 2\n(E) 3, 4 and 6\n(F) only 1\n(G) 3 and 7\n(H) none of the above\n(I) 3 and 10\n(J) 3 and 1\n(K) 3 and 2\n(L) 3, 7 and 10\n(M) only 6\n(N) 2 and 4\n(O) only 5\n(P) 3, 1 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:085", "request": "Suppose we draw this SVG path element: M 9.95745,-22.42391 L 10.76105,-22.93134 M 9.0,16.05287 L 9.0,20.25287 M 15.61055,-9.85731 L 24.61055,4.39556 M 11.62227,-7.33891 L 14.77301,-9.32845 M 9.0,15.94523 L 9.0,16.05287 M 14.2119,-12.07229 L 13.42516,-13.31822 L 9.60072,-19.3748 M 9.0,15.63887 L 9.0,15.94523 M 11.77243,12.50221 L 9.0,14.25287 M 4.73547,-19.12648 L -7.28465,-11.53635 M 9.0,14.25287 L 9.0,15.63887 M 10.76105,-22.93134 L 13.39912,-24.59715 M 19.08115,-15.5988 L 19.97862,-14.17752 M 14.67845,10.6672 L 13.56627,11.36949 M 9.60072,-19.3748 L 8.3259,-21.39366 M 19.97862,-14.17752 L 20.68377,-13.0608 M 16.49306,9.52136 L 14.67845,10.6672 M 15.61055,-9.85731 L 14.2119,-12.07229 M 7.47121,-4.71771 L 11.62227,-7.33891 M 9.0,14.25287 L 0.0,0.0 M 5.30759,-3.35149 L 7.47121,-4.71771 M 0.0,6.0 L 0.0,0.0 M 24.61055,4.39556 L 16.49306,9.52136 M 3.6,11.70115 L 0.0,6.0 M 0.0,0.0 L 3.51,5.55862 M 0.0,0.0 L 5.30759,-3.35149 M 8.3259,-21.39366 L 4.73547,-19.12648 M 9.0,20.25287 L 3.6,11.70115 M 13.56627,11.36949 L 11.77243,12.50221 M 3.51,5.55862 L 9.0,14.25287 M 14.77301,-9.32845 L 15.61055,-9.85731 M 8.3259,-21.39366 L 9.95745,-22.42391 M 13.39912,-24.59715 L 19.08115,-15.5988 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5 and 7\n(B) 5 and 10\n(C) only 1\n(D) none of the above\n(E) 5 and 4\n(F) only 5\n(G) 7 and 8\n(H) 1, 5 and 2\n(I) 1 and 5\n(J) 1, 5 and 7\n(K) 5 and 3\n(L) 1 and 2\n(M) 1, 5 and 9\n(N) 5 and 9\n(O) 1, 4, 6 and 8\n(P) 1, 5, 7 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:086", "request": "Suppose we draw this SVG path element: M -0.23386,13.85226 L -0.15267,12.6235 M 11.93352,3.15229 L 15.09551,-8.19541 M 1.18693,8.53857 L 2.54893,6.50251 M 17.0335,-15.15045 L 20.50299,-20.33699 M 23.7056,-25.12457 L 28.00032,-40.5374 M -0.39145,16.23749 L -0.23386,13.85226 M 10.30493,2.06286 L 11.93352,3.15229 M 6.24258,-0.13292 L 3.84913,-0.08196 M 3.70916,4.76809 L 6.99841,-0.14901 M 4.93511,13.61421 L -0.39145,16.23749 M 17.0335,-15.15045 L 11.23723,-6.48562 M 18.0331,-18.73779 L 17.78508,-17.8477 M 9.76401,6.39549 L 6.14234,11.80953 M -0.11145,11.99964 L 0.0,10.31291 M -0.15267,12.6235 L -0.11145,11.99964 M 10.6752,5.03335 L 9.76401,6.39549 M 28.00032,-40.5374 L 27.13295,-39.24077 M 0.0,10.31291 L 0.84272,9.05313 M 3.84913,-0.08196 L 0.0,0.0 M 18.10718,-19.00366 L 18.0331,-18.73779 M 17.52954,-16.93063 L 17.0335,-15.15045 M 6.99841,-0.14901 L 6.24258,-0.13292 M 9.40683,-3.74936 L 6.99841,-0.14901 L 10.30493,2.06286 M 27.13295,-39.24077 L 23.66345,-34.05423 M 21.32821,-30.56329 L 18.10718,-19.00366 M 11.93352,3.15229 L 10.6752,5.03335 M 21.59188,-21.96477 L 23.7056,-25.12457 M 17.78508,-17.8477 L 17.52954,-16.93063 M 0.84272,9.05313 L 1.18693,8.53857 M 10.32203,-5.11749 L 9.40683,-3.74936 M 11.23723,-6.48562 L 10.32203,-5.11749 M 2.54893,6.50251 L 3.70916,4.76809 M 15.65753,-10.21237 L 17.0335,-15.15045 M 20.50299,-20.33699 L 21.59188,-21.96477 M 0.0,0.0 L 0.0,10.31291 M 15.09551,-8.19541 L 15.65753,-10.21237 M 6.14234,11.80953 L 4.93511,13.61421 M 23.66345,-34.05423 L 21.32821,-30.56329 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 4\n(B) only 7\n(C) 3, 4 and 7\n(D) 4 and 5\n(E) 5, 7 and 9\n(F) 3, 5 and 7\n(G) 3, 7 and 8\n(H) 3, 4, 2 and 8\n(I) 3, 4, 5 and 7\n(J) 4, 5 and 6\n(K) 7 and 1\n(L) 7 and 2\n(M) only 4\n(N) only 3\n(O) 3 and 7\n(P) 3, 5, 7 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:090", "request": "Suppose we draw this SVG path element: M 24.38698,-19.9365 L 29.3405,-17.62663 M 0.0,7.0 L 0.0,5.46 M 10.35209,0.0 L 10.35209,-7.0986 M 20.49493,-28.84999 L 17.75636,-22.97711 M 20.49493,-21.75139 L 24.38698,-19.9365 M 18.29129,-17.02568 L 20.49493,-21.75139 M 17.75636,-22.97711 L 15.16487,-17.41963 M 10.35209,-7.0986 L 0.0,-7.0986 M 22.10067,8.68911 L 19.34832,10.61633 M 2.5205,-5.64339 L 6.14757,-3.5493 M 10.35209,-4.68508 L 10.35209,0.0 M 10.35209,-7.0986 L 10.35209,-4.68508 M 20.49493,-25.44266 L 20.49493,-28.84999 M 0.0,-7.0986 L 2.5205,-5.64339 M 6.14757,-3.5493 L 2.33608,-1.34873 M 24.85302,6.76189 L 22.10067,8.68911 M 15.93065,-11.96326 L 17.25429,-14.80182 M 20.49493,-21.75139 L 20.49493,-25.44266 M 19.34832,10.61633 L 17.21983,12.10671 L 11.74658,15.93912 M 10.35209,1.96 L 10.35209,3.3712 M 0.0,5.46 L 0.0,0.0 M 4.03732,0.0 L 10.35209,0.0 M 10.35209,7.0 L 7.55703,7.0 M 10.35209,0.0 L 15.93065,-11.96326 M 10.35209,3.3712 L 10.35209,7.0 M 2.33608,-1.34873 L 0.0,0.0 M 34.99586,-14.98949 L 24.85302,6.76189 M 15.16487,-17.41963 L 10.35209,-7.0986 M 11.74658,15.93912 L 11.17484,9.40408 M 0.0,0.0 L 4.03732,0.0 M 11.17484,9.40408 L 10.79637,5.0782 M 29.3405,-17.62663 L 34.99586,-14.98949 M 10.35209,0.0 L 10.35209,1.96 M 10.79637,5.0782 L 10.35209,0.0 M 7.55703,7.0 L 0.0,7.0 M 17.25429,-14.80182 L 18.29129,-17.02568 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 7 and 3\n(B) 1 and 8\n(C) 7 and 9\n(D) only 5\n(E) 1, 5, 7 and 8\n(F) 1, 5, 7, 8, 4 and 6\n(G) 7, 8, 2 and 10\n(H) 1, 8 and 9\n(I) 5 and 3\n(J) only 1\n(K) 7 and 8\n(L) 5 and 8\n(M) 5 and 2\n(N) 1, 8, 2, 4 and 9\n(O) 1, 5, 7, 8 and 10\n(P) 1, 7, 8 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:092", "request": "Suppose we draw this SVG path element: M 0.0,-10.58113 L 0.0,-11.53256 M 9.9124,-6.76346 L 10.59842,-5.75805 M 7.23506,-4.93665 L 9.9124,-6.76346 M 9.97176,-0.75094 L 7.8029,-0.58761 M -7.46321,-14.83889 L -8.84366,-17.58359 M 10.69153,4.81097 L 5.63621,8.26033 M 9.9124,-6.76346 L 0.0,0.0 M -9.88505,-19.65415 L -9.88505,-23.17735 M 0.0,-11.53256 L 9.9124,-6.76346 M 8.93931,17.77377 L 10.49708,20.87103 M 0.0,-11.53256 L 0.0,-8.88007 M 0.0,0.0 L 7.5579,15.02714 M 6.69042,-4.56503 L 7.23506,-4.93665 M 10.59842,-5.75805 L 11.54577,-4.36962 M 0.0,0.0 L 6.24481,-4.26098 M 0.0,-3.90723 L 0.0,0.0 M 7.27515,-0.54787 L 7.07995,-0.53317 M -5.79955,-11.5311 L -7.46321,-14.83889 M 7.8029,-0.58761 L 7.27515,-0.54787 M 11.54577,-4.36962 L 12.04478,-3.63828 L 12.27961,-3.29412 M 7.5579,15.02714 L 8.93931,17.77377 M 0.0,0.0 L -4.94252,-9.82708 M 7.07995,-0.53317 L 5.52236,-0.41587 M 15.54861,1.49687 L 10.69153,4.81097 M 5.52236,-0.41587 L 0.0,0.0 M 12.27961,-3.29412 L 15.54861,1.49687 M -9.88505,-23.17735 L -9.88505,-25.07446 M 6.24481,-4.26098 L 6.69042,-4.56503 M 0.0,0.0 L 0.0,-7.72682 M 0.0,-8.88007 L 0.0,-3.90723 M 0.0,-7.72682 L 0.0,-10.58113 M -9.88505,-25.07446 L -9.88505,-27.55604 M -4.94252,-9.82708 L -5.79955,-11.5311 M 5.63621,8.26033 L 9.97176,-0.75094 M -8.84366,-17.58359 L -9.88505,-19.65415 M -9.88505,-31.18672 L 0.0,-11.53256 M -9.88505,-27.55604 L -9.88505,-28.61957 L -9.88505,-31.18672 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 8 and 10\n(B) 3 and 5\n(C) 8 and 6\n(D) 3, 5 and 8\n(E) 6 and 7\n(F) 5 and 8\n(G) 3, 5 and 4\n(H) 8 and 1\n(I) 5, 8 and 6\n(J) 3 and 7\n(K) 8 and 2\n(L) only 9\n(M) only 3\n(N) 3, 6, 7 and 10\n(O) none of the above\n(P) 8 and 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:095", "request": "Suppose we draw this SVG path element: M 16.05155,-0.0 L 14.75251,0.75 M 22.05155,6.0 L 21.93655,6.0 M 21.55155,6.0 L 21.17435,6.0 M 0.0,0.0 L 11.23608,0.0 M 8.21839,11.29485 L 0.0,11.29485 M 16.05155,6.0 L 0.0,6.0 M 21.93655,6.0 L 21.55155,6.0 M 14.33682,5.01 L 15.10845,5.4555 M 5.24243,6.0 L 7.38371,6.0 M 11.23608,0.0 L 16.05155,-0.0 M 25.75692,10.19884 L 26.34051,10.86016 M 16.05155,11.29485 L 12.84124,11.29485 M 26.34051,10.86016 L 26.68326,11.24855 L 20.68326,16.5434 M 19.47155,6.0 L 16.05155,6.0 M 0.0,3.72 L 0.0,2.00806 M 2.41152,6.0 L 5.24243,6.0 M 21.17435,6.0 L 19.47155,6.0 M 0.0,2.00806 L 0.0,1.5252 M 0.0,6.0 L 2.41152,6.0 M 16.05155,11.29485 L 22.05155,6.0 M 16.05155,6.0 L 16.05155,11.29485 M 0.0,6.0 L 0.0,3.72 M 14.75251,0.75 L 10.8554,3.0 M 22.05155,6.0 L 25.75692,10.19884 M 7.38371,6.0 L 16.05155,6.0 M 15.10845,5.4555 L 16.05155,6.0 M 10.8554,3.0 L 14.33682,5.01 M 12.84124,11.29485 L 8.21839,11.29485 M 0.0,1.5252 L 0.0,0.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) 4, 8 and 1\n(C) 4, 6 and 7\n(D) only 8\n(E) 8 and 2\n(F) 8, 1 and 9\n(G) 4 and 8\n(H) 4 and 7\n(I) only 3\n(J) 4 and 6\n(K) only 4\n(L) 4, 8 and 7\n(M) 8 and 3\n(N) 4, 8 and 9\n(O) 1, 3 and 6\n(P) only 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:097", "request": "Suppose we draw this SVG path element: M 10.46738,4.19386 L 10.46738,-0.0 M 12.11306,14.12948 L 12.86876,14.78191 L 13.95622,15.72078 M 11.38896,13.50432 L 12.11306,14.12948 M 0.0,0.0 L 0.0,8.51481 M 0.0,12.70867 L -15.35619,12.70867 M 10.46738,12.70867 L 11.38896,13.50432 M 0.0,12.70867 L 10.46738,12.70867 M -15.35619,12.70867 L -15.35619,18.70867 M 0.0,8.51481 L 0.0,12.70867 M 10.46738,12.70867 L 10.46738,4.19386 M -15.35619,18.70867 L -6.75672,18.70867 M 13.95622,15.72078 L 18.69579,19.8127 M -15.35619,12.70867 L -25.63888,8.80145 M 5.23482,14.6978 L 0.0,12.70867 M -10.28269,8.80145 L -7.19788,9.97362 M -6.75672,18.70867 L 0.0,18.70867 M -2.80717,11.642 L 0.0,12.70867 M -25.63888,8.80145 L -10.28269,8.80145 M -7.19788,9.97362 L -2.80717,11.642 M 18.69579,19.8127 L 5.23482,14.6978 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 4\n(B) 5, 4 and 7\n(C) none of the above\n(D) 3, 5, 6 and 8\n(E) 5, 1 and 9\n(F) 5 and 2\n(G) 3 and 5\n(H) 3 and 1\n(I) 5 and 6\n(J) 6, 8, 9 and 10\n(K) 3 and 8\n(L) only 1\n(M) 3, 4 and 8\n(N) only 7\n(O) 3, 5 and 1\n(P) only 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:098", "request": "Suppose we draw this SVG path element: M -6.31126,21.54093 L -5.87389,21.28841 M 16.06858,28.48474 L 16.06858,25.18474 M 11.55509,25.18474 L 10.06858,25.18474 M 6.39355,6.36534 L 5.03429,8.71965 M 0.0,17.89712 L 10.06858,17.89712 M -4.11683,22.80788 L -6.31126,21.54093 M 4.9336,25.18474 L 3.10817,25.18474 M 10.06858,31.18474 L 14.26858,31.18474 M 16.06858,29.21374 L 16.06858,29.03149 M 16.06858,25.18474 L 15.62808,25.18474 M 3.10817,25.18474 L 0.0,25.18474 M 15.62808,25.18474 L 14.49538,25.18474 M 16.06858,25.18474 L 16.06858,24.36343 M 10.06858,17.89712 L 10.06858,6.44296 M 0.0,7.69576 L 0.0,17.89712 M -4.9859,20.77573 L 0.0,17.89712 M 16.06858,21.61381 L 16.06858,17.89712 M 16.06858,29.03149 L 16.06858,28.48474 M 0.0,0.0 L 0.0,7.69576 M 16.06858,31.18474 L 16.06858,29.21374 M 10.06858,17.89712 L 10.06858,25.18474 M 0.0,25.18474 L -2.71384,23.6179 M 13.30858,25.18474 L 16.06858,25.18474 M 10.06858,25.18474 L 8.99023,25.18474 M 13.30858,25.18474 L 12.46618,25.18474 M 10.06858,25.18474 L 13.30858,25.18474 M 10.06858,0.0 L 6.39355,6.36534 M 10.06858,25.18474 L 10.06858,26.86474 M 14.26858,31.18474 L 16.06858,31.18474 M 10.06858,6.44296 L 10.06858,0.0 M 1.45994,2.5287 L 0.0,0.0 M 10.06858,26.86474 L 10.06858,31.18474 M 12.46618,25.18474 L 11.55509,25.18474 M 5.03429,8.71965 L 1.45994,2.5287 M -2.71384,23.6179 L -4.11683,22.80788 M 16.06858,24.36343 L 16.06858,21.61381 M 14.49538,25.18474 L 13.30858,25.18474 M 8.99023,25.18474 L 4.9336,25.18474 M -5.87389,21.28841 L -4.9859,20.77573 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 4\n(B) none of the above\n(C) only 2\n(D) only 7\n(E) 2, 7 and 8\n(F) 2 and 1\n(G) 7, 1 and 4\n(H) 2, 7 and 5\n(I) 2, 7 and 9\n(J) 8 and 1\n(K) 2, 7, 8 and 10\n(L) only 8\n(M) 8, 3 and 10\n(N) 2 and 8\n(O) 7 and 6\n(P) 7 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:101", "request": "Suppose we draw this SVG path element: M -25.56979,21.23613 L -25.06298,19.91585 M -33.0783,28.95768 L -33.42157,28.82591 M 0.0,9.0 L 17.99668,9.0 M -25.56979,21.23613 L -35.41865,21.24258 M 13.94368,2.34 L 10.20245,4.5 M -29.93737,18.80216 L -29.43057,17.48188 M 10.20245,4.5 L 16.04812,7.875 M 17.99668,17.00221 L 0.0,17.00221 L -2.97995,15.28174 M -29.93737,18.80216 L -27.90369,23.36989 M 24.99668,17.00221 L 24.99668,9.0 M -31.76447,19.61563 L -28.91731,26.01045 M 17.99668,9.0 L 0.0,9.0 L 0.0,0.0 M -33.42157,28.82591 L -33.73844,28.70428 M -29.93737,18.80216 L -31.12498,19.33092 M -35.41865,21.24258 L -36.1256,27.03052 M 0.0,0.0 L 17.99668,0.0 M -2.97995,15.28174 L -6.93012,13.00111 M 17.99668,0.0 L 13.94368,2.34 M -6.93012,13.00111 L 0.0,9.0 M 17.99668,17.00221 L 24.99668,17.00221 M 17.99668,9.0 L 17.99668,17.00221 M 16.04812,7.875 L 17.99668,9.0 M -33.99185,29.36442 L -33.0783,28.95768 M -27.29681,19.81578 L -34.19844,23.98322 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 7 and 8\n(B) only 2\n(C) none of the above\n(D) 7 and 10\n(E) 3, 7 and 8\n(F) 3 and 7\n(G) 7, 8 and 10\n(H) 3, 7 and 6\n(I) 7, 1 and 5\n(J) 3, 8 and 10\n(K) 3 and 1\n(L) 7, 5 and 10\n(M) 8, 6 and 10\n(N) only 7\n(O) only 3\n(P) 3 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:103", "request": "Suppose we draw this SVG path element: M -40.7823,24.22402 L -40.9059,25.49257 M -30.51292,20.28197 L -40.7823,24.22402 M -33.72578,20.28346 L -32.59692,23.22424 M -34.64719,25.0824 L -35.0393,25.23292 M -34.38876,18.55633 L -34.26797,18.28502 M -34.38876,18.55633 L -33.72578,20.28346 M -40.9059,25.49257 L -40.99915,26.44955 M -31.80486,19.70676 L -39.27351,22.5737 M 13.75264,27.42151 L 13.73745,20.76152 M 6.0,16.36861 L 21.02256,10.86201 M -36.25592,19.27307 L -33.74735,25.80813 M 6.0,25.36861 L 0.0,9.0 L 0.0,0.0 M 3.0,8.18431 L 6.0,16.36861 M 6.02053,25.36859 L 13.75264,27.42151 M -30.51292,20.28197 L -29.57934,19.9236 M 13.73745,20.76152 L 13.73211,18.42153 M 28.75467,12.91494 L 21.02256,10.86201 M 13.73211,18.42153 L 28.75467,12.91494 M -34.75619,25.97045 L -34.68093,26.1665 M 21.02256,10.86201 L 15.02256,-5.5066 M -34.26797,18.28502 L -33.81355,17.26439 M -33.17213,24.51618 L -34.64719,25.0824 M 6.0,16.36861 L 6.0,25.36861 M -29.57934,19.9236 L -29.00412,18.63165 M 6.0,16.36861 L 6.02053,25.36859 M 13.73211,18.42153 L 6.0,16.36861 M 9.32481,17.25137 L 13.73211,18.42153 M -35.0393,25.23292 L -34.75619,25.97045 M 0.0,0.0 L 3.0,8.18431 M 6.0,16.36861 L 9.32481,17.25137 M 21.02256,10.86201 L 6.0,16.36861 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1 and 5\n(B) only 5\n(C) only 1\n(D) none of the above\n(E) 1, 4 and 7\n(F) 1, 5 and 8\n(G) only 6\n(H) 5 and 9\n(I) 1 and 8\n(J) 1 and 4\n(K) only 10\n(L) 1, 3 and 7\n(M) 1 and 9\n(N) only 3\n(O) 1, 5, 4 and 10\n(P) 5 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:104", "request": "Suppose we draw this SVG path element: M -30.18516,13.44587 L -29.20035,13.27222 M -41.01804,15.356 L -41.65556,17.49926 M 7.73951,2.02483 L 3.56017,0.93142 M 5.27963,5.21757 L 0.0,0.0 M 16.62254,5.17973 L 5.62331,-5.6902 M 21.28372,12.72075 L 19.43812,7.7418 M 10.99923,10.86993 L 19.43812,7.7418 L 25.06143,2.0516 M 12.68622,9.16287 L 10.99923,10.86993 M 14.12736,19.30882 L 16.91219,18.27654 M -35.63014,11.35969 L -34.41461,18.25334 M 25.06143,2.0516 L 16.62254,5.17973 M 0.0,22.0 L 10.99923,10.86993 M -31.34362,12.63471 L -39.22208,14.0239 M 0.0,0.0 L 0.0,16.06 M 10.99923,10.86993 L 5.27963,5.21757 M 0.0,0.0 L 10.99923,10.86993 M -33.66053,11.01239 L -32.79229,15.93643 M 22.56625,16.18069 L 21.28372,12.72075 M 0.0,16.06 L 0.0,22.0 M 10.99923,10.86993 L 14.12736,19.30882 M -30.18516,13.44587 L -41.01804,15.356 M 16.62254,5.17973 L 12.68622,9.16287 M 5.62331,-5.6902 L 7.73951,2.02483 M 16.91219,18.27654 L 22.56625,16.18069 M -33.66053,11.01239 L -32.84937,9.85394 M 3.56017,0.93142 L 0.0,0.0 M 10.99923,10.86993 L 16.62254,5.17973 M -33.66053,11.01239 L -34.94078,11.23813 M 15.97818,9.02433 L 10.99923,10.86993 M -41.65556,17.49926 L -40.1498,20.28004 M 19.43812,7.7418 L 15.97818,9.02433 M -38.75942,19.52716 L -39.74422,19.70081 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1 and 4\n(B) 1 and 6\n(C) 1, 2 and 4\n(D) 2, 4, 5, 8 and 3\n(E) 1, 2, 4, 5 and 8\n(F) 2, 4 and 5\n(G) 2, 4 and 8\n(H) 2, 5 and 8\n(I) only 8\n(J) 1, 4, 5 and 8\n(K) 1, 2, 4, 8, 7 and 10\n(L) 1, 2, 5 and 8\n(M) 5, 8 and 7\n(N) 2, 4, 5, 8 and 9\n(O) 1, 4 and 8\n(P) 4 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:105", "request": "Suppose we draw this SVG path element: M 0.0,0.0 L 9.07058,2.30617 M -45.53782,12.05592 L -45.4576,13.20312 M 0.0,16.0 L 0.0,0.0 M 11.22686,-11.73327 L 3.48368,-13.70195 M -52.23128,16.68411 L -52.76494,16.22021 M 36.26787,-5.36666 L 32.78419,8.33529 M 22.12336,5.6248 L 0.0,0.0 M -42.60442,10.99873 L -41.60686,10.92897 M 0.0,0.0 L 4.125,5.86799 M -42.60442,10.99873 L -50.51518,12.55434 M -45.10124,7.40414 L -44.87857,7.14798 M 4.125,21.86799 L 1.815,18.58192 M -45.80638,8.2153 L -45.53782,12.05592 M -43.67174,10.07092 L -48.02266,10.92651 L -51.5825,11.62653 M 22.85493,2.74739 L 25.60704,-8.07715 M -54.43568,13.83093 L -53.22884,16.75387 M 1.815,18.58192 L 0.0,16.0 M 4.125,5.86799 L 4.125,21.86799 M -45.80638,8.2153 L -45.10124,7.40414 M -45.80638,8.2153 L -47.10321,8.30599 M -53.22884,16.75387 L -52.5106,16.70364 M 4.125,5.86799 L 22.12336,5.6248 M 25.60704,-8.07715 L 11.22686,-11.73327 M -47.80151,8.35482 L -47.63549,10.72902 M 22.12336,5.6248 L 22.85493,2.74739 M -52.5106,16.70364 L -52.23128,16.68411 M 9.07058,2.30617 L 22.12336,5.6248 M 25.60704,-8.07715 L 36.26787,-5.36666 M -47.63549,10.72902 L -47.31321,15.33777 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 5\n(B) only 3\n(C) 4 and 10\n(D) 3 and 5\n(E) 3 and 10\n(F) 3 and 7\n(G) only 4\n(H) 3, 5 and 8\n(I) 3 and 8\n(J) 5, 4, 9 and 10\n(K) 3, 5 and 7\n(L) 3 and 6\n(M) 3 and 2\n(N) 3, 5 and 6\n(O) 5, 2 and 8\n(P) 3, 5 and 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:107", "request": "Suppose we draw this SVG path element: M 5.64593,60.68922 L 5.7678,59.69668 M -2.68885,18.43419 L -8.96283,31.11396 M 3.01631,49.28374 L -2.0507,57.72918 M 0.0,35.54879 L 0.0,13.0 M -1.31949,51.7739 L 3.64324,52.38325 M 0.0,0.0 L 0.0,13.0 M 4.15817,60.99015 L 5.64593,60.68922 M 2.54642,61.31616 L 4.15817,60.99015 M 0.0,13.0 L -2.68885,18.43419 M -1.31949,51.7739 L -1.47792,53.06421 M 0.0,13.0 L 0.0,35.54879 M -1.56323,53.75899 L 5.3846,54.61208 M 21.35619,38.30879 L 21.35619,41.54879 M 5.7678,59.69668 L 5.56163,59.85776 M 21.35619,35.54879 L 21.35619,20.66659 M 3.01631,49.28374 L 2.14563,48.16932 L 1.27495,47.05491 M -8.96283,31.11396 L 0.0,35.54879 M 21.35619,35.54879 L 21.35619,38.30879 M 0.90934,50.03255 L 0.92694,58.09478 M 0.0,13.0 L 5.22652,2.43716 M 21.35619,41.54879 L 10.6781,41.54879 M 5.56163,59.85776 L 5.21059,60.13202 M 10.6781,41.54879 L 0.0,41.54879 M 5.22652,2.43716 L 0.0,0.0 M 0.0,35.54879 L 21.35619,35.54879 M 21.35619,20.66659 L 21.35619,13.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) 3 and 4\n(C) only 4\n(D) only 6\n(E) 3, 4 and 7\n(F) 5, 6 and 10\n(G) 3, 1 and 6\n(H) 4, 1 and 5\n(I) 3, 4 and 8\n(J) 3 and 1\n(K) 3 and 7\n(L) 4 and 5\n(M) 4, 2 and 10\n(N) 3 and 5\n(O) 3, 8 and 9\n(P) only 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:113", "request": "Suppose we draw this SVG path element: M 0.0,0.0 L 0.0,21.26827 M -39.44988,24.38413 L -39.14086,25.33518 M -35.93066,19.03481 L -43.53911,21.50695 M 23.82115,14.34007 L 19.82115,21.26827 M 19.82115,32.05417 L 0.0,32.05417 M -37.94721,23.89588 L -39.44988,24.38413 M 9.34086,26.66122 L 0.0,21.26827 M 19.82115,32.05417 L 27.82115,32.05417 M -40.35292,18.36877 L -38.1898,25.02617 M 12.48732,21.26827 L 19.82115,21.26827 M 0.0,32.05417 L 9.34086,26.66122 M 19.82115,21.26827 L 19.82115,0.0 M 19.82115,29.89699 L 19.82115,32.05417 M -34.36157,20.62791 L -33.71953,19.36784 M -34.36157,20.62791 L -44.82319,24.0271 M 0.0,21.26827 L 12.48732,21.26827 M 26.14115,18.35843 L 23.82115,14.34007 M 27.82115,32.05417 L 27.82115,21.26827 M 19.82115,21.26827 L 19.82115,29.89699 M -38.45081,17.75074 L -38.94536,17.91143 M -44.82319,24.0271 L -45.46523,25.28717 M -37.54776,23.76609 L -37.94721,23.89588 M -38.94536,17.91143 L -39.68718,18.15246 M 19.82115,0.0 L 9.91058,-17.16562 M -42.94992,27.62428 L -42.63607,27.52231 M 27.82115,21.26827 L 26.14115,18.35843 M 9.91058,-17.16562 L 0.0,0.0 M -43.58712,27.83132 L -42.94992,27.62428 M -38.45081,17.75074 L -36.90572,22.50602 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 9\n(B) 7 and 4\n(C) 8 and 10\n(D) 2 and 7\n(E) only 8\n(F) 2, 7 and 8\n(G) only 2\n(H) 2, 7, 5 and 6\n(I) 3 and 9\n(J) 7 and 9\n(K) 7 and 8\n(L) 2, 7, 8 and 6\n(M) only 7\n(N) 2 and 9\n(O) 2, 8 and 4\n(P) 2 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:115", "request": "Suppose we draw this SVG path element: M 5.86492,26.38611 L 0.0,23.0 M -51.92073,10.64775 L -55.91098,10.92677 M -56.0261,16.44825 L -56.79423,16.50197 M 34.20518,40.537 L 20.09974,39.75697 M 0.0,23.0 L 13.0107,23.0 M -50.06511,8.5131 L -50.4801,8.54212 M -52.06024,8.65262 L -51.88934,11.09665 M -49.98489,9.6603 L -49.71633,13.50092 M 20.6519,23.0 L 20.6519,29.77222 M -47.93047,10.36872 L -51.92073,10.64775 M -58.69441,14.12873 L -57.48757,17.05167 M -56.79423,16.50197 L -57.02367,16.51801 M -56.49001,16.98191 L -57.02367,16.51801 M -46.63371,11.28049 L -45.86559,11.22677 M -50.4801,8.54212 L -51.36195,8.60379 M 34.75734,30.55226 L 20.6519,23.0 M -51.88934,11.09665 L -51.57194,15.63556 M 20.6519,29.77222 L 34.75734,30.55226 M 0.0,0.0 L 0.0,23.0 M -50.06511,8.5131 L -49.98489,9.6603 M -46.86315,11.29653 L -46.63371,11.28049 M -46.86315,11.29653 L -57.83636,12.06385 M 0.0,29.77222 L 5.86492,26.38611 M -52.58555,15.47588 L -52.56951,15.70532 M 13.0107,23.0 L 20.6519,23.0 M 20.6519,29.77222 L 0.0,29.77222 M -52.63927,14.70776 L -52.58555,15.47588 M 20.6519,23.0 L 20.6519,0.0 M 34.75734,30.55226 L 34.20518,40.537 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 8, 2 and 6\n(B) none of the above\n(C) 1, 3 and 8\n(D) only 3\n(E) only 1\n(F) 2, 6 and 7\n(G) 3, 8, 5 and 7\n(H) only 8\n(I) 1, 8 and 10\n(J) 8 and 7\n(K) 8 and 5\n(L) only 10\n(M) 1 and 9\n(N) 1 and 3\n(O) 8, 4 and 7\n(P) 3, 8, 2, 4, 6 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:117", "request": "Suppose we draw this SVG path element: M -30.51303,35.26055 L -30.68538,36.66423 M 5.1792,8.97064 L 0.0,0.0 M 0.0,13.75316 L 10.35841,13.75316 M 10.35841,0.0 L 5.1792,8.97064 M 20.75071,27.75316 L 10.35841,21.75316 M -23.76563,32.52695 L -25.34165,33.75827 M -24.70147,29.70485 L -23.59328,31.12327 M -25.34165,33.75827 L -25.17542,33.97103 M 20.75071,19.75316 L 20.75071,27.75316 M 10.35841,13.75316 L 20.75071,19.75316 M 10.35841,21.75316 L 10.35841,20.15316 M 10.35841,13.75316 L 10.35841,10.72746 M 0.0,0.0 L 0.0,13.75316 M -25.17542,33.97103 L -24.72599,34.54628 M -28.24761,28.41454 L -23.93798,33.93062 M -27.1762,37.0951 L -27.96421,37.71076 M -26.67159,27.18322 L -26.54405,26.1445 M -23.86424,27.52792 L -27.39453,30.28608 M -26.67159,27.18322 L -24.70147,29.70485 M 10.35841,21.75316 L -0.0,21.75316 M 10.35841,10.72746 L 10.35841,0.0 M -30.68538,36.66423 L -28.05038,38.4126 M -27.39453,30.28608 L -30.16833,32.45321 M -21.84491,28.48828 L -30.51303,35.26055 M -26.54405,26.1445 L -26.49924,25.77955 M 10.35841,20.15316 L 10.35841,13.75316 L 10.35841,21.75316 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 8\n(B) 5, 8 and 7\n(C) 2, 8, 3 and 10\n(D) only 2\n(E) 5 and 8\n(F) 2, 5, 9 and 10\n(G) 2, 5, 8, 4 and 10\n(H) only 8\n(I) 2 and 5\n(J) 2, 5 and 8\n(K) none of the above\n(L) 2 and 3\n(M) 5, 8, 4 and 10\n(N) 2, 8 and 9\n(O) 2 and 1\n(P) 5, 8 and 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:120", "request": "Suppose we draw this SVG path element: M 14.43459,-12.45499 L 0.0,0.0 M 2.62504,40.95824 L 2.9146,44.24399 M -0.54354,35.39406 L -1.3748,34.24994 M 8.1418,-19.74796 L 4.44603,-24.03114 M 6.26292,43.55935 L 5.69086,43.97498 M -15.01952,2.86228 L 0.0,0.0 M 0.0,11.0 L 0.0,0.0 M 9.17043,-28.10762 L 14.28852,-32.52381 M 7.66713,2.04333 L 7.66713,25.04333 M 2.4717,31.12317 L 2.21401,30.76849 M 2.88883,32.9003 L 3.04526,31.91261 M 2.88883,32.9003 L 2.62504,40.95824 M 14.28852,-32.52381 L 24.27708,-20.94766 M 3.04526,31.91261 L 2.4717,31.12317 M 4.44603,-24.03114 L -9.98857,-11.57615 M 4.44603,-24.03114 L 9.17043,-28.10762 M 1.7447,33.73155 L 1.48092,41.78949 M 10.3929,-8.96759 L 14.43459,-12.45499 M 0.0,0.0 L 7.66713,2.04333 M -0.54354,35.39406 L 4.3949,36.17623 M 0.0,0.0 L 10.3929,-8.96759 M -0.54354,35.39406 L -0.74691,36.67806 M -9.98857,-11.57615 L -15.01952,2.86228 M 14.43459,-12.45499 L 8.1418,-19.74796 M 7.66713,2.04333 L 14.43459,-12.45499 M -0.85641,37.36944 L 6.05741,38.46448 M 7.66713,25.04333 L 0.0,11.0 M 2.9146,44.24399 L 2.98699,45.06543 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3, 6 and 7\n(B) none of the above\n(C) only 6\n(D) 5 and 7\n(E) 5, 6 and 7\n(F) 3, 5, 6 and 7\n(G) 3, 5 and 2\n(H) 6, 7 and 10\n(I) 3, 7 and 2\n(J) 6 and 7\n(K) 5, 9 and 10\n(L) 5, 6, 7 and 4\n(M) 3, 7 and 8\n(N) only 5\n(O) 3, 5, 6 and 2\n(P) 3, 6 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:122", "request": "Suppose we draw this SVG path element: M 0.0,16.37063 L 0.0,0.0 M -22.13723,27.20825 L -31.03641,33.67389 M 0.0,0.0 L 4.47191,-2.38892 M -31.25765,35.07069 L -28.68527,36.90995 M -26.91542,25.73554 L -27.96714,26.49966 M -28.53345,26.91111 L -24.41896,32.57423 M 12.01658,-18.89052 L 17.19964,-9.18816 M -28.68527,36.90995 L -27.87626,36.32217 M -26.91542,25.73554 L -23.97649,29.78062 M 17.19964,-9.18816 L 26.902,-14.37123 M -22.13723,27.20825 L -22.07086,26.78921 M 21.71894,-24.07359 L 12.01658,-18.89052 M 17.55,0.0 L 17.19964,-9.18816 M -22.07086,26.78921 L -21.916,25.81145 M -5.18307,-9.70236 L -10.99402,-0.36252 M -26.91542,25.73554 L -26.82029,25.13491 M 0.0,0.0 L 17.55,0.0 M -24.12181,26.178 L -30.59395,30.88028 M 17.55,0.0 L 17.55,16.37063 M 15.4374,-12.48696 L 12.01658,-18.89052 M 26.902,-14.37123 L 21.71894,-24.07359 M -10.99402,-0.36252 L 0.0,0.0 M 12.01658,-18.89052 L -5.18307,-9.70236 M 4.47191,-2.38892 L 17.19964,-9.18816 L 0.0,0.0 M 17.19964,-9.18816 L 15.4374,-12.48696 M -27.76564,35.62377 L -28.57466,36.21155 M 17.55,16.37063 L 0.0,16.37063 M -26.82029,25.13491 L -26.69419,24.33873 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 2, 3 and 7\n(B) 2, 3 and 9\n(C) 1 and 7\n(D) 1, 2 and 7\n(E) 2 and 3\n(F) 1, 3 and 5\n(G) 2, 3 and 7\n(H) 1, 3, 7 and 10\n(I) 2 and 7\n(J) 1, 2, 3, 9 and 10\n(K) 1 and 2\n(L) 1, 3 and 7\n(M) 3, 7 and 4\n(N) 1, 2, 3, 7, 5 and 10\n(O) none of the above\n(P) 1, 2 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:125", "request": "Suppose we draw this SVG path element: M -20.92569,8.7622 L -14.86218,14.83629 M 7.87301,29.01202 L 8.51816,29.09123 M -15.54747,-15.5746 L -30.40965,-0.73831 M 1.69221,27.2456 L 3.56812,27.47593 M 9.02323,33.18329 L 8.46602,33.61863 M 1.93595,25.26051 L 1.88367,25.68631 M -37.47456,-7.81554 L -22.61237,-22.65183 M 7.52562,28.96937 L 7.87301,29.01202 M 1.93595,25.26051 L 6.89868,25.86986 M -22.61237,-22.65183 L -25.20898,-12.99483 M -30.40965,-0.73831 L -37.47456,-7.81554 M -25.20898,-12.99483 L -19.41207,-14.54269 M 0.0,0.0 L -15.54747,-15.5746 M 8.90136,34.17583 L 9.02323,33.18329 M -19.41207,-14.54269 L -15.54747,-15.5746 M 4.17252,27.06655 L 4.18237,31.5814 M -30.40965,-0.73831 L -20.92569,8.7622 M 5.29679,30.71072 L 5.66044,33.657 M 0.0,0.0 L 9.89385,9.91111 M 1.88367,25.68631 L 1.77752,26.55082 M 1.93595,25.26051 L 1.06527,24.1461 M 5.66044,33.657 L 5.80186,34.80277 M 4.16478,23.51916 L 4.17252,27.06655 M 3.56812,27.47593 L 8.64003,28.09869 M 5.27919,22.64848 L 5.29679,30.71072 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 5\n(B) none of the above\n(C) 5, 8, 3 and 10\n(D) 1 and 10\n(E) 8, 3, 4 and 9\n(F) 5 and 8\n(G) 8, 2 and 3\n(H) only 8\n(I) 5 and 4\n(J) only 4\n(K) 8 and 10\n(L) 3 and 7\n(M) 8, 1 and 6\n(N) 5, 4 and 10\n(O) 3 and 9\n(P) 5, 8 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:126", "request": "Suppose we draw this SVG path element: M -50.4423,42.82882 L -49.53123,44.08279 M 4.978,-6.3 L 0.0,-6.3 M 35.98283,5.4 L 55.98283,5.4 M -49.34264,49.44628 L -48.75486,50.25529 M -49.53123,44.08279 L -47.50338,46.8739 M 40.46649,0.0 L 25.26649,0.0 L 12.76409,0.0 M 0.0,12.0 L 0.0,0.0 M 12.76409,-6.3 L 25.26649,0.0 M -51.88543,47.23942 L -53.53305,48.78258 M -51.25213,43.41719 L -51.49403,43.59294 M -55.29641,46.35553 L -54.78453,52.16397 M -52.21216,54.00324 L -51.40314,53.41545 M 25.26649,0.0 L 35.98283,5.4 M -52.06034,44.00439 L -47.94584,49.66751 M 55.98283,5.4 L 45.26649,0.0 M 12.76409,12.0 L 0.0,12.0 M -47.72461,48.27071 L -49.34264,49.44628 M 12.76409,0.0 L 12.76409,12.0 M 12.76409,0.0 L 12.76409,-6.3 M 45.26649,0.0 L 40.46649,0.0 M -50.4423,42.82882 L -51.25213,43.41719 M -45.66411,44.30153 L -55.29641,46.35553 M 12.76409,-6.3 L 4.978,-6.3 M -47.6487,43.27128 L -51.88543,47.23942 M 0.0,0.0 L 12.76409,0.0 M -45.44288,42.90473 L -45.22165,41.50793 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 5\n(B) only 4\n(C) 1, 4 and 5\n(D) only 6\n(E) 1, 3, 4 and 5\n(F) 1 and 4\n(G) 4 and 5\n(H) 1, 4 and 10\n(I) 1, 3 and 7\n(J) 3 and 4\n(K) 4 and 7\n(L) 1, 4, 5 and 7\n(M) 1, 3, 4 and 6\n(N) 1, 3 and 5\n(O) none of the above\n(P) only 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:131", "request": "Suppose we draw this SVG path element: M -15.76854,5.76108 L -2.49453,9.31559 M -13.8727,-1.31878 L -15.76854,5.76108 M -13.27401,-3.55452 L -13.8727,-1.31878 M -13.46329,16.40599 L -10.45421,20.39917 M -10.65103,21.79962 L -12.2483,23.00325 M -15.06056,17.60962 L -10.84785,23.20007 M -15.76854,5.76108 L -21.56434,4.20908 M -12.2483,23.00325 L -11.64649,23.80189 M -10.66238,16.79963 L -11.46102,17.40145 M 0.0,0.0 L 0.0,7.80219 M -15.03785,27.6096 L -14.23921,27.00778 M -21.56434,4.20908 L -19.06981,-5.10651 M 10.62563,2.84533 L 0.0,0.0 M -17.64193,25.8155 L -15.03785,27.6096 M -14.54012,26.60846 L -14.93944,26.90937 M -8.66012,17.79509 L -19.05373,20.6187 M -14.1408,26.30756 L -14.54012,26.60846 M -13.46329,16.40599 L -13.36881,15.73377 L -13.26646,15.00554 M 0.0,7.80219 L 5.20656,5.37333 L 10.62563,2.84533 M 0.0,0.0 L -13.27401,-3.55452 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) 3, 4 and 5\n(C) only 1\n(D) 3, 2 and 4\n(E) 3, 1 and 8\n(F) only 2\n(G) only 3\n(H) only 4\n(I) 3, 2 and 8\n(J) 3 and 4\n(K) only 7\n(L) 3, 6 and 10\n(M) 3 and 1\n(N) 3 and 7\n(O) 3 and 8\n(P) 3 and 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:132", "request": "Suppose we draw this SVG path element: M 11.27381,19.52681 L 0.0,0.0 M -52.52514,27.20534 L -52.16654,26.43631 M -57.54904,26.26703 L -56.95137,24.98531 M 22.54762,24.0 L 22.54762,0.0 M 34.54458,44.57913 L 34.54458,24.0 M -61.68552,36.04124 L -62.03158,35.87987 M 0.0,0.0 L 0.0,24.0 L 11.72476,24.0 M 16.91071,9.76341 L 11.27381,19.52681 M -54.98561,27.46237 L -55.92531,27.80439 M -53.36188,28.99974 L -64.12689,28.66117 M -59.42842,26.95107 L -57.03428,33.52891 M -52.76421,27.71802 L -52.52514,27.20534 M -57.54904,26.26703 L -55.83894,30.96549 M -61.39073,36.17871 L -61.68552,36.04124 M 22.54762,0.0 L 16.91071,9.76341 M 11.72476,24.0 L 22.54762,24.0 M 22.54762,44.57913 L -0.0,44.57913 M -58.316,32.93124 L -57.97398,33.87094 M -64.12689,28.66117 L -64.29617,34.04367 M -62.33042,36.52073 L -61.39073,36.17871 M 22.54762,44.57913 L 34.54458,44.57913 M 22.54762,24.0 L 22.54762,44.57913 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) only 8\n(C) 8 and 2\n(D) 8 and 7\n(E) 4 and 7\n(F) 8 and 10\n(G) 8 and 3\n(H) 2 and 9\n(I) 8, 2, 5 and 7\n(J) 1 and 3\n(K) only 7\n(L) 8 and 4\n(M) 7 and 10\n(N) 8, 2 and 6\n(O) 3 and 9\n(P) 1 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:136", "request": "Suppose we draw this SVG path element: M 19.14155,16.55677 L 9.0536,20.92212 M 14.86495,13.09727 L 5.18276,11.97692 M 0.0,0.0 L 5.18276,11.97692 M -37.68744,15.84497 L -37.95641,15.8685 M -32.71615,12.65957 L -32.52092,14.89105 M 19.14155,16.55677 L 20.11186,12.1012 M -30.76591,7.29921 L -30.22958,6.66003 M 5.18276,11.97692 L 0.0,0.0 M 21.69501,4.83159 L 15.2707,7.61158 M 5.18276,11.97692 L 15.2707,7.61158 M 0.0,0.0 L 0.0,15.0 M -27.80142,11.46669 L -33.26602,9.81668 M -39.6686,13.50875 L -38.41093,16.41018 M 0.0,15.0 L 5.18276,11.97692 M -33.60427,13.98201 L -33.51712,14.97821 M -28.97192,9.56145 L -29.96812,9.64861 M 20.11186,12.1012 L 21.69501,4.83159 M -33.26602,9.81668 L -38.11199,8.35347 M -33.13101,7.91769 L -32.71615,12.65957 M -31.13862,7.74338 L -30.70284,12.72435 M 9.0536,20.92212 L 14.86495,13.09727 M -36.96022,15.78135 L -37.68744,15.84497 M -26.89238,10.38334 L -25.98334,9.29999 M -31.13862,7.74338 L -32.09696,7.82722 M 15.2707,7.61158 L 10.08794,-4.36534 M -32.09696,7.82722 L -32.43368,7.85668 M -31.13862,7.74338 L -30.76591,7.29921 M 15.2707,7.61158 L 19.14155,16.55677 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 8\n(B) 3, 8 and 9\n(C) 8, 2, 5 and 10\n(D) only 3\n(E) 8 and 7\n(F) only 8\n(G) only 4\n(H) none of the above\n(I) 1 and 5\n(J) 3, 4 and 8\n(K) 4, 8, 2, 5 and 9\n(L) 3, 8, 6 and 7\n(M) 3 and 4\n(N) only 7\n(O) 8, 5 and 9\n(P) 4 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:137", "request": "Suppose we draw this SVG path element: M 8.25,11.0 L 8.25,15.16 M 0.0,0.0 L -7.2,-9.6 M 7.05187,38.57812 L 7.20831,37.59043 M 0.0,8.0 L 0.0,3.6 M 5.6,-19.2 L 0.0,-15.0 M 0.40184,29.42513 L 5.34028,30.20731 M -0.53676,35.35126 L 3.93237,39.0965 M -4.84308,-15.11769 L -7.2,-9.6 M 0.0,3.6 L 0.0,0.0 M 8.25,19.0 L 3.63,12.84 M 0.0,0.0 L 8.25,11.0 M -3.6,-19.8 L 5.6,-19.2 M 3.99065,25.94368 L 3.15939,24.79956 M 7.20831,37.59043 L 7.05957,37.69849 M 0.0,-15.0 L -3.6,-19.8 M 8.25,15.16 L 8.25,19.0 M 7.05957,37.69849 L 6.63625,38.00606 M 2.69009,27.76263 L 2.4263,35.82057 M -3.6,-19.8 L -10.8,-14.4 M 0.08897,31.40051 L 7.00279,32.49555 M 0.0,-15.0 L 0.0,-6.75 M -10.8,-14.4 L -4.84308,-15.11769 M -1.512,-13.866 L 0.0,-15.0 M 4.8219,27.08781 L -0.53676,35.35126 M -7.2,-9.6 L -1.512,-13.866 M 0.40184,29.42513 L 0.19848,30.70913 M 0.0,-6.75 L 0.0,0.0 M 6.17154,31.35143 L 5.85867,33.32681 M 3.63,12.84 L 0.0,8.0 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 3\n(B) 3, 8 and 2\n(C) 3, 4 and 8\n(D) 3, 4, 5 and 8\n(E) 4 and 5\n(F) 4, 8, 6 and 9\n(G) 3 and 5\n(H) 4 and 8\n(I) 3, 4, 5 and 1\n(J) 3, 8 and 9\n(K) 8 and 1\n(L) 4, 5 and 10\n(M) 3, 4, 5, 8 and 10\n(N) 5 and 8\n(O) only 5\n(P) only 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:138", "request": "Suppose we draw this SVG path element: M 3.1489,48.20381 L 3.65397,52.29586 M 25.84637,11.45644 L 22.27461,5.26996 M 32.46075,-31.15687 L 32.46075,-16.15687 M 2.0169,41.01225 L 1.04194,48.95262 M 0.0,0.0 L 15.19328,0.0 M 32.46075,-16.15687 L 32.46075,-0.0 M 0.0,6.13561 L 4.61568,4.66306 M 0.0,1.71797 L 0.0,6.13561 M 6.75348,51.66892 L 6.80954,51.21235 M 19.232,-16.15687 L 32.46075,-16.15687 M 19.232,-0.0 L 19.232,-16.15687 M 15.19328,0.0 L 19.232,-0.0 M 19.232,-31.15687 L 32.46075,-31.15687 M 6.80954,51.21235 L 6.87535,50.67638 M 19.232,-16.15687 L 19.232,-31.15687 M 3.13131,40.14157 L 3.17031,39.82395 M 6.36567,50.72463 L 6.31814,51.11172 M 3.25318,39.14902 L 3.00939,38.83699 M 32.46075,-16.15687 L 19.232,-16.15687 M 22.27461,5.26996 L 19.232,-0.0 M 5.62147,44.47736 L 5.37774,46.46246 M 3.17031,39.82395 L 3.25318,39.14902 M 4.61568,4.66306 L 19.232,-0.0 M 3.13131,40.14157 L 3.1489,48.20381 M 3.00939,38.83699 L 2.38251,38.03461 M -0.45567,44.73869 L 6.49215,45.59178 M -0.21193,42.7536 L 4.7508,43.36295 M 19.232,-16.15687 L -0.0,-16.15687 M 0.0,0.0 L 0.0,1.71797 M 19.232,-0.0 L 0.0,0.0 M 32.46075,-0.0 L 25.84637,11.45644 M 6.44001,50.11917 L 6.36567,50.72463 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 4, 6 and 7\n(B) 1, 4, 7 and 2\n(C) 1, 6 and 2\n(D) 1, 6 and 7\n(E) only 5\n(F) 4, 7 and 10\n(G) 1 and 6\n(H) 1, 4 and 7\n(I) only 7\n(J) 6 and 10\n(K) 1 and 7\n(L) 6, 7 and 2\n(M) 7, 3 and 5\n(N) 4, 6, 7 and 2\n(O) 4, 6 and 7\n(P) 1, 4 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:141", "request": "Suppose we draw this SVG path element: M -40.90574,11.71569 L -41.62563,11.72825 M 16.5367,-15.14185 L 26.51864,-15.14185 M -45.59012,13.79776 L -46.09877,13.30656 M -38.7308,5.67681 L -38.39679,5.33093 M -47.05274,10.22274 L -47.64217,10.83312 M 16.5367,-7.41951 L 16.5367,-15.14185 M -46.65978,9.81582 L -47.05274,10.22274 M -39.62594,11.69335 L -40.90574,11.71569 M -38.7308,5.67681 L -38.64354,10.67605 M -40.7305,5.71172 L -40.60833,12.71065 M 28.82398,-23.74549 L 16.5367,-15.14185 M -46.58997,13.81521 L -45.59012,13.79776 M 4.46491,0.0 L 0.0,0.0 M 16.5367,0.0 L 4.46491,0.0 M -35.66145,9.62384 L -34.67906,8.60654 M -35.66145,9.62384 L -40.17077,9.70255 M -38.85587,7.6793 L -44.69499,7.78122 M -40.17077,9.70255 L -46.65978,9.81582 M 0.0,0.0 L 0.0,5.44244 M 26.51864,-15.14185 L 26.51864,0.0 M 0.0,5.44244 L 16.5367,0.0 L 16.5367,-7.41951 M -38.39679,5.33093 L -37.74841,4.65951 M 0.0,0.0 L 16.5367,0.0 M 21.52767,-8.64461 L 16.5367,0.0 M 26.51864,0.0 L 21.52767,-8.64461 M 26.51864,-15.14185 L 28.82398,-23.74549 M 16.5367,-15.14185 L 0.0,-15.14185 M -36.6962,7.6416 L -38.85587,7.6793 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 4\n(B) only 4\n(C) 2, 3, 4 and 9\n(D) 2, 3, 4 and 8\n(E) 2, 3, 8, 1 and 5\n(F) 3 and 4\n(G) 3 and 8\n(H) 2, 3 and 8\n(I) 4, 8 and 9\n(J) only 3\n(K) 2 and 8\n(L) 4, 8 and 10\n(M) 2, 3 and 4\n(N) 2, 4 and 1\n(O) 4 and 1\n(P) only 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:145", "request": "Suppose we draw this SVG path element: M 8.86027,-14.63634 L 13.66027,-11.73061 M 4.8,22.90573 L 0.0,20.0 M 0.17608,-8.48345 L 0.0,0.0 M -11.86448,30.21167 L -11.96973,29.84462 M 0.0,0.0 L 8.86027,-14.63634 M -7.52424,36.8822 L -6.91201,37.22157 M -7.45696,36.14202 L -7.78663,36.73676 M 5.99564,-26.28941 L 1.60142,-19.03056 L -7.25885,-4.39422 M -6.81701,34.98753 L -7.45696,36.14202 M -8.86106,30.42443 L -12.73953,37.42139 M -7.78663,36.73676 L -7.52424,36.8822 M -9.86034,41.81857 L -8.46144,42.07948 M 4.8,2.90573 L 0.0,0.0 M -13.10167,39.62169 L -11.5701,41.49967 M 8.86027,-14.63634 L 12.37564,-20.44342 M -7.25885,-4.39422 L -4.58228,-5.86634 M -14.97358,37.32639 L -13.10167,39.62169 M 8.86027,-14.63634 L 1.60142,-19.03056 M -6.62701,30.51943 L -14.97358,37.32639 M 4.8,2.90573 L 4.8,22.90573 M 1.60142,-19.03056 L 8.86027,-14.63634 M -11.57992,31.20405 L -7.20682,33.6281 M 13.66027,-11.73061 L 4.8,2.90573 M 0.0,20.0 L 0.0,12.4 M -12.54954,32.95329 L -6.4272,36.34695 M -4.58228,-5.86634 L 0.17608,-8.48345 M 0.0,12.4 L 0.0,0.0 M -11.5701,41.49967 L -9.86034,41.81857 M 0.0,0.0 L 4.8,2.90573 M -11.57992,31.20405 L -11.86448,30.21167 M 13.25448,-21.89519 L 7.73776,-25.2348 L 5.99564,-26.28941 M 12.37564,-20.44342 L 13.25448,-21.89519 M -8.17153,40.52515 L -8.65634,41.39977 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 2\n(B) 1, 2, 5 and 7\n(C) 4, 5 and 9\n(D) 1, 2, 4, 8 and 10\n(E) 1, 2, 5, 8 and 3\n(F) 1 and 5\n(G) 2, 4 and 3\n(H) 1, 2, 4, 5, 3 and 9\n(I) 1, 2, 4, 5 and 8\n(J) only 8\n(K) 1, 2 and 8\n(L) 1, 2 and 5\n(M) 1, 5 and 8\n(N) 1, 2, 4 and 8\n(O) 1, 2, 5, 8 and 10\n(P) 4, 5, 8 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:146", "request": "Suppose we draw this SVG path element: M -44.23747,26.7429 L -42.68452,28.69978 M -8.42649,-7.07066 L -10.33662,3.76222 M 13.85641,20.96413 L 13.85641,-0.0 M -34.92691,20.1616 L -42.44445,22.89776 M 4.9883,-8.64 L 0.0,0.0 M -9.02208,10.7521 L -17.44857,3.68143 M -42.68452,28.69978 L -42.27171,29.21996 M -41.33202,28.87794 L -41.97288,28.5791 M -10.33662,3.76222 L 0.0,0.0 M -43.63979,25.46119 L -44.23747,26.7429 M -36.63528,21.31548 L -35.78023,23.66472 M -37.49033,18.96625 L -36.63528,21.31548 M -37.98112,23.46544 L -36.97558,26.22814 M 0.0,0.0 L -9.02208,10.7521 L -9.02208,31.71623 M -37.99051,26.36343 L -37.91527,26.57016 M -32.7055,20.41725 L -32.10783,19.13554 M -33.30317,21.69896 L -43.63979,25.46119 M -39.36972,19.65029 L -37.98112,23.46544 M 0.0,20.96413 L 13.85641,20.96413 M -17.44857,3.68143 L -8.42649,-7.07066 M -9.02208,31.71623 L 0.0,20.96413 M 6.9282,-12.0 L 4.9883,-8.64 M 0.0,0.0 L 0.0,20.96413 M 13.85641,-0.0 L 6.9282,-12.0 M -33.30317,21.69896 L -32.7055,20.41725 M 0.0,20.96413 L 0.0,0.0 M -38.25729,25.63047 L -37.99051,26.36343 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 8\n(B) 2, 5, 7 and 8\n(C) 2, 5 and 1\n(D) 7, 1 and 3\n(E) 3 and 4\n(F) 5, 7 and 8\n(G) 3 and 9\n(H) 5 and 7\n(I) 5, 8 and 3\n(J) only 9\n(K) 2, 7, 8 and 9\n(L) 2, 5 and 7\n(M) 2, 5, 7, 8 and 9\n(N) 7 and 3\n(O) 8, 3 and 6\n(P) 2, 7 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:147", "request": "Suppose we draw this SVG path element: M -32.8224,29.91025 L -32.69095,30.15748 M -38.58956,31.84413 L -36.29819,34.0235 M 15.09012,8.48361 L 13.17012,4.4009 M 3.66,14.78267 L 0.0,7.0 M -32.69095,30.15748 L -32.35293,30.7932 M 6.0,12.75847 L 6.0,19.75847 M -30.28555,24.0311 L -37.34913,27.78687 M -34.75628,24.14309 L -31.46998,30.32373 M 30.02247,7.56993 L 21.30776,0.65156 M -28.05018,23.97511 L -27.6367,22.62269 M 6.0,19.75847 L 3.66,14.78267 M 0.0,5.18 L 0.0,0.0 M 21.62615,13.67238 L 23.80483,15.40197 M 0.0,0.0 L 3.6,7.65508 M -39.17102,26.49045 L -38.58956,31.84413 M -35.41525,33.55403 L -36.09146,33.34729 M -28.46366,25.32753 L -39.17102,26.49045 M 0.0,7.0 L 0.0,5.18 M 3.6,7.65508 L 6.0,12.75847 M 23.80483,15.40197 L 6.0,12.75847 M 13.17012,4.4009 L 9.09012,-4.27486 M 15.09012,8.48361 L 21.62615,13.67238 M -31.0565,28.97131 L -32.8224,29.91025 M -32.99039,23.20415 L -30.64303,27.61889 M 23.80483,15.40197 L 30.02247,7.56993 M 6.0,12.75847 L 15.09012,8.48361 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3, 4 and 10\n(B) 5 and 8\n(C) 4, 5, 6 and 9\n(D) none of the above\n(E) 3 and 4\n(F) 3, 4, 5 and 7\n(G) only 4\n(H) 3, 5 and 9\n(I) only 3\n(J) 3, 4 and 5\n(K) 4 and 9\n(L) only 2\n(M) 5 and 10\n(N) 7 and 9\n(O) 4, 5 and 2\n(P) 5 and 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:148", "request": "Suppose we draw this SVG path element: M 10.14284,50.30911 L 10.14284,52.08376 M 13.85641,0.0 L 10.32302,6.12 M 0.0,30.33237 L -20.8233,30.33237 M 0.0,23.23377 L 13.85641,23.23377 M 10.32302,6.12 L 6.9282,12.0 M -43.94992,40.50056 L -43.68008,39.11233 M 0.0,23.23377 L 0.0,30.33237 M 0.0,0.0 L 0.0,23.23377 M -50.33188,39.98037 L -46.41753,45.78363 M -20.8233,23.23377 L 0.0,23.23377 M -20.8233,23.23377 L -20.8233,17.19299 M 13.85641,23.23377 L 13.85641,0.0 M 6.7957,37.8072 L 10.14284,44.98516 M 0.0,23.23377 L -7.49639,23.23377 M -50.83256,49.96783 L -50.31026,49.61554 M 10.14284,52.08376 L 0.0,30.33237 L 0.0,23.23377 L 6.7957,37.8072 M -50.00352,49.40864 L -50.69764,49.27371 M -48.67381,38.86199 L -45.87784,43.00717 M 10.14284,44.98516 L 10.14284,50.30911 M -53.33918,48.03991 L -50.83256,49.96783 M -50.31026,49.61554 L -50.00352,49.40864 M -43.94992,40.50056 L -54.47707,42.77634 M -48.67381,38.86199 L -49.75155,39.58894 M -20.8233,30.33237 L -20.8233,23.23377 M -45.89734,39.40168 L -52.52964,43.87522 M -7.49639,23.23377 L -20.8233,23.23377 M -20.8233,17.19299 L -20.8233,0.0 M 6.9282,12.0 L 0.0,0.0 M -48.67381,38.86199 L -48.40396,37.47376 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 3\n(B) 1, 4 and 8\n(C) 1 and 4\n(D) 1, 4, 8 and 2\n(E) only 5\n(F) 1, 4, 5 and 8\n(G) 4, 5, 8 and 2\n(H) 1, 4 and 5\n(I) 7 and 10\n(J) 1 and 3\n(K) 4 and 9\n(L) 1, 4, 5 and 9\n(M) 1, 5 and 2\n(N) 4 and 8\n(O) 1 and 5\n(P) only 4\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:150", "request": "Suppose we draw this SVG path element: M -19.53432,31.81182 L -21.11082,33.83874 M -18.22936,32.47756 L -16.86818,33.83874 M 8.82252,4.86 L 17.00445,1.0206 M -4.55348,-23.0596 L -6.75112,-17.79094 M 0.02241,-21.15093 L -4.55348,-23.0596 M 19.17939,-0.0 L 4.41126,-6.16 M -20.40371,26.41412 L -20.40371,26.15956 M -17.57529,30.30321 L -17.20759,30.67091 M 18.32346,-13.51731 L 20.00783,-12.81473 M -17.04552,32.60187 L -17.33487,32.89122 M 0.0,-2.3256 L 0.0,0.0 M 1.58978,-11.81138 L 3.75001,-16.99037 M -20.52335,27.59442 L -20.60999,27.68106 M -20.40371,27.47478 L -20.52335,27.59442 M -16.16107,27.47478 L -17.89348,29.70217 M -6.75112,-17.79094 L -9.2293,-11.84968 M -17.57529,27.47478 L -23.23214,33.13164 M 0.0,-8.0 L 1.58978,-11.81138 M -17.67598,33.23233 L -18.28239,33.83874 M 0.0,-5.5304 L 0.0,-4.08 M 3.75001,-16.99037 L 4.18514,-18.03356 M -17.20759,30.67091 L -16.86818,31.01032 M -21.11082,33.83874 L -23.23214,37.37428 M 0.0,9.0 L 8.82252,4.86 M -20.40371,38.78849 L -20.20572,38.5905 M -20.40371,26.15956 L -20.40371,26.06057 M -16.86818,32.42453 L -17.04552,32.60187 M 16.92965,0.0 L 19.17939,-0.0 M -21.07468,28.14575 L -21.20529,28.27636 M -20.60999,27.68106 L -20.67897,27.75004 M -20.20572,38.5905 L -20.03771,38.42249 M -20.86546,27.93653 L -21.02879,28.09986 M -17.89348,29.70217 L -19.53432,31.81182 M 16.37283,-3.67637 L 19.17939,-0.0 M 3.03116,-19.89594 L 1.63015,-20.48032 M 0.0,6.57 L 0.0,8.1981 M -21.95935,38.01067 L -20.40371,38.78849 M 1.63015,-20.48032 L 0.02241,-21.15093 M 20.00783,-12.81473 L 21.0851,-12.36539 M 11.80922,-9.65434 L 14.16767,-6.56495 M 4.18514,-18.03356 L 4.67582,-19.20993 L 17.33422,-13.92993 L 18.32346,-13.51731 M -20.67897,27.75004 L -20.86546,27.93653 M -20.40371,27.47478 L -17.57529,30.30321 M -20.40371,27.47478 L -20.40371,26.41412 M -20.03771,38.42249 L -19.69661,38.08138 M -17.33487,32.89122 L -17.67598,33.23233 M 19.17939,-0.0 L 11.12405,0.0 M 0.0,0.0 L 4.81019,0.0 M 17.00445,1.0206 L 19.17939,-0.0 M 14.16767,-6.56495 L 16.37283,-3.67637 M -23.23214,37.37428 L -21.95935,38.01067 M 11.12405,0.0 L 0.0,0.0 M 0.0,-8.0 L 0.0,-5.5304 M 0.0,0.0 L 0.0,6.57 M 4.81019,0.0 L 12.6584,0.0 M -21.81793,28.889 L -20.14739,30.55954 M 21.0851,-12.36539 L 23.85521,-11.20993 M 0.0,8.1981 L 0.0,9.0 M 14.67991,0.0 L 16.92965,0.0 M 12.6584,0.0 L 14.67991,0.0 M -20.14739,30.55954 L -19.59054,31.11638 M 23.85521,-11.20993 L 11.80922,-9.65434 M 0.0,-4.08 L 0.0,-2.3256 M 4.67582,-19.20993 L 3.03116,-19.89594 M -21.20529,28.27636 L -21.32295,28.39402 M 4.41126,-6.16 L 0.0,-8.0 M -19.59054,31.11638 L -18.22936,32.47756 M -21.02879,28.09986 L -21.07468,28.14575 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 6\n(B) only 8\n(C) only 4\n(D) 4 and 6\n(E) only 10\n(F) 6, 1 and 7\n(G) 4, 6 and 8\n(H) 4, 6, 8 and 9\n(I) 4, 6 and 5\n(J) 4 and 8\n(K) none of the above\n(L) 8 and 1\n(M) 6 and 8\n(N) 4, 8 and 9\n(O) 4, 6, 8 and 2\n(P) 7 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:152", "request": "Suppose we draw this SVG path element: M -21.76357,48.97159 L -21.67701,48.8608 M 13.75645,16.21571 L 22.37597,11.23923 M -21.26944,39.49661 L -20.91956,39.76997 M 13.75645,8.84314 L 13.75645,9.92691 M -24.21644,48.33081 L -23.75221,48.4958 M 25.91825,19.5864 L 18.25645,24.00994 M 6.1454,12.66766 L 6.5597,12.42846 M 29.71853,7.0 L 17.90659,7.0 M -23.75221,48.4958 L -21.9048,49.15236 M 15.99753,7.0 L 13.75645,7.0 M 0.0,0.0 L 7.84118,0.0 M 0.0,5.18 L 0.0,0.0 M -20.91956,39.76997 L -19.98971,40.49645 M 34.21853,14.79423 L 25.91825,19.5864 M 13.75645,0.0 L 19.81863,3.5 M 0.0,7.0 L 0.0,5.18 M 7.34256,11.23922 L 5.42711,10.13334 M 12.26938,16.21571 L 10.59247,16.21571 M 13.75645,12.2085 L 13.75645,12.4299 M -0.0,16.21571 L 6.1454,12.66766 M -19.07257,37.40594 L -20.68611,40.10464 M -19.17119,42.40496 L -20.40251,43.98099 M -18.71549,36.94889 L -18.45691,36.61793 M -21.39237,39.40057 L -21.26944,39.49661 M 13.75645,16.21571 L 12.26938,16.21571 M 22.37597,11.23923 L 29.71853,7.0 M -19.98971,40.49645 L -19.34354,41.00129 M 30.79853,8.87062 L 34.21853,14.79423 M 13.75645,10.77844 L 13.75645,10.96552 M 15.27199,6.125 L 14.84052,6.37411 M 13.75645,9.92691 L 13.75645,10.77844 M 7.75911,11.73598 L 7.98104,11.60785 M -22.50321,43.14379 L -23.20986,44.32568 M 9.76708,7.0 L 13.75645,7.0 M -21.67701,48.8608 L -21.28914,48.36435 M -23.28359,37.92298 L -24.08395,38.9474 M -20.47625,37.57829 L -25.40154,43.88237 M 13.75645,7.0 L 0.0,7.0 M 14.84052,6.37411 L 14.68093,6.46625 M 29.71853,7.0 L 30.53933,8.42167 M 13.75645,12.4299 L 13.75645,16.21571 M 7.26514,12.02118 L 7.75911,11.73598 M -21.9048,49.15236 L -21.76357,48.97159 M 0.0,7.0 L 9.76708,7.0 M 5.42711,10.13334 L 0.0,7.0 M 10.59247,16.21571 L -0.0,16.21571 M 13.75645,10.96552 L 13.75645,11.42354 M 30.53933,8.42167 L 30.79853,8.87062 M 17.90659,7.0 L 15.99753,7.0 M -19.07257,37.40594 L -18.71549,36.94889 M -24.51491,39.49901 L -20.8743,42.34337 M 14.68093,6.46625 L 13.75645,7.0 M 19.81863,3.5 L 15.27199,6.125 M -20.40251,43.98099 L -19.6145,44.59665 M -20.8743,42.34337 L -18.99884,43.80864 M 13.75645,11.42354 L 13.75645,12.2085 M 7.84118,0.0 L 13.75645,0.0 M 7.98104,11.60785 L 7.34256,11.23922 M 13.75645,7.0 L 13.75645,8.84314 M -20.68611,40.10464 L -22.50321,43.14379 M -23.28359,37.92298 L -21.39237,39.40057 M 6.5597,12.42846 L 7.26514,12.02118 M -24.88449,48.09339 L -24.21644,48.33081 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4, 7, 8 and 1\n(B) 4 and 6\n(C) 4, 6, 7 and 10\n(D) 7 and 9\n(E) 6, 7 and 1\n(F) 4, 6, 7 and 8\n(G) 6 and 5\n(H) 4, 8 and 5\n(I) 4 and 7\n(J) 6, 7, 8 and 5\n(K) 6 and 8\n(L) 6, 2, 3 and 9\n(M) 4, 7, 8 and 10\n(N) only 6\n(O) 6, 8, 2 and 3\n(P) 4, 6 and 5\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:153", "request": "Suppose we draw this SVG path element: M -5.82169,22.16837 L -5.9755,21.37708 M -5.70565,22.76531 L -5.75091,22.5325 M -7.92676,34.72252 L -8.29075,34.79327 M 0.0,-5.15041 L 0.0,-8.04752 M -12.50782,-14.63186 L -13.16549,-14.63186 M -10.55499,-10.25255 L -9.90465,-9.62085 M -3.8545,-23.53345 L -9.63626,-20.19536 M -9.49,-25.75885 L 0.0,-25.75885 M -10.42954,24.40388 L -6.28435,27.19985 M -10.99545,33.77575 L -11.31709,34.66119 M -10.55194,23.77418 L -10.62382,23.40435 M -12.05079,-14.63186 L -12.50782,-14.63186 M -25.06349,-20.86297 L -25.06349,-14.63186 M -9.63626,-20.19536 L 0.0,-14.63186 M -3.55498,-3.45312 L 0.0,0.0 M -5.75091,22.5325 L -5.82169,22.16837 M -8.00237,35.11179 L -7.71159,34.68069 M -15.06349,-25.75885 L -25.06349,-25.75885 M -13.16549,-14.63186 L -14.00061,-14.63186 M -6.26485,23.59435 L -6.1463,23.41859 M -7.71159,34.68069 L -7.845,34.70662 M -6.26485,23.59435 L -6.71968,24.49185 M -14.00061,-14.63186 L -15.06349,-14.63186 M 0.0,0.0 L 0.0,-5.15041 M 0.0,-8.04752 L 0.0,-14.63186 M 8.18346,7.94897 L 11.52275,11.19258 M -9.90935,30.78584 L -10.07603,31.24468 M 0.0,0.0 L 6.22229,6.04399 M -10.42954,24.40388 L -10.55194,23.77418 M -8.15999,27.33392 L -9.33206,29.64671 M -25.06349,-25.75885 L -25.06349,-20.86297 M -15.06349,-14.63186 L -10.55499,-10.25255 M -15.06349,-25.75885 L -9.49,-25.75885 M -10.62382,23.40435 L -10.69938,23.01565 M 6.22229,6.04399 L 8.18346,7.94897 M -8.29075,34.79327 L -8.4057,34.81561 M 0.0,-25.75885 L -3.8545,-23.53345 M -5.96847,23.15496 L -5.75821,22.84324 M -9.33206,29.64671 L -9.90935,30.78584 M -9.11281,-14.63186 L -12.05079,-14.63186 M -7.49747,-14.63186 L -9.11281,-14.63186 M -7.65308,23.86419 L -11.29758,31.05569 M -10.85761,33.39627 L -10.99545,33.77575 M -5.75821,22.84324 L -5.70565,22.76531 M -11.54792,26.06196 L -5.74466,29.97631 M -15.06349,-14.63186 L -15.06349,-25.75885 M -8.27078,35.50973 L -8.17147,35.36249 M -10.07603,31.24468 L -10.35983,32.02595 M -8.88746,-8.6328 L -3.55498,-3.45312 M -6.50743,-14.63186 L -7.49747,-14.63186 M -8.17147,35.36249 L -8.00237,35.11179 M -6.1463,23.41859 L -5.96847,23.15496 M -9.90465,-9.62085 L -8.88746,-8.6328 M -7.845,34.70662 L -7.92676,34.72252 M -10.35983,32.02595 L -10.85761,33.39627 M -6.71968,24.49185 L -8.15999,27.33392 M 0.0,-14.63186 L -6.50743,-14.63186 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 5\n(B) 1, 3 and 10\n(C) 4, 6 and 9\n(D) 4, 8, 2 and 10\n(E) 4, 5 and 6\n(F) 4, 8 and 1\n(G) only 8\n(H) 4, 8 and 2\n(I) 4 and 7\n(J) 4, 5 and 8\n(K) 5, 8, 7 and 10\n(L) 5 and 3\n(M) only 4\n(N) none of the above\n(O) only 5\n(P) 4, 8 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:160", "request": "Suppose we draw this SVG path element: M 6.8695,-3.96611 L 2.19824,-1.26916 M 18.05294,-1.13611 L 15.64141,-0.45601 M 0.0,0.0 L 14.02448,0.0 M 15.12611,-1.13084 L 16.58642,-2.62987 M 14.02448,15.63054 L 8.41469,15.63054 M 16.58642,-2.62987 L 23.51316,-9.74026 M -17.74023,29.42634 L -17.75702,28.46482 M 2.19824,-1.26916 L 0.0,0.0 M 23.51316,-9.74026 L 24.54463,-8.73544 M 9.27299,-7.93221 L 8.67689,-7.93221 M 14.02448,-7.93221 L 23.51316,-9.74026 M 2.47302,-6.50441 L 3.6161,-5.84445 M -22.6801,30.03591 L -22.69367,29.25821 M 14.02448,-0.81622 L 14.02448,-3.88678 M 14.02448,0.0 L 14.02448,4.84547 M 8.67689,-7.93221 L 7.85371,-7.93221 M -19.93511,37.48277 L -19.9118,37.50528 M 14.02448,-4.81723 L 14.02448,-7.93221 M 14.02448,4.84547 L 14.02448,15.63054 M 25.91225,-3.60446 L 21.26375,1.16729 M -22.66899,30.67221 L -20.11533,33.13825 M 7.85371,-7.93221 L 4.08393,-7.93221 M -21.78922,40.55785 L -22.48388,41.27719 M -19.04761,35.5595 L -20.43692,36.99818 M 8.41469,15.63054 L 6.56346,15.63054 M 24.54463,-8.73544 L 27.81094,-5.55349 M 15.64141,-0.45601 L 14.02448,0.0 M -22.66899,30.67221 L -23.39143,31.42032 M 18.67393,-4.77273 L 14.02448,0.0 M 3.6161,-5.84445 L 6.8695,-3.96611 M 19.91125,2.55565 L 18.32226,4.18677 M -19.76016,36.26155 L -19.53905,36.47507 M -22.67288,30.44951 L -22.6801,30.03591 M 26.67211,-4.38446 L 25.91225,-3.60446 M -19.68768,33.55122 L -19.07229,34.1455 M -23.39143,31.42032 L -23.57204,31.60735 M 19.79922,-1.6286 L 18.05294,-1.13611 M -24.0583,32.11089 L -21.08743,34.97982 M 18.32226,4.18677 L 18.82443,2.20954 M -19.53905,36.47507 L -19.02293,36.97349 M -21.08743,34.97982 L -20.18937,35.84707 M 0.0,15.63054 L 0.0,6.56483 M 14.02448,-3.88678 L 14.02448,-4.81723 M -20.43692,36.99818 L -20.29305,37.13711 M -19.84099,30.62284 L -23.17535,34.07567 M -0.0,-7.93221 L 2.47302,-6.50441 M -17.70765,31.29282 L -25.34889,39.20556 M -20.29305,37.13711 L -19.97654,37.44276 L -19.93511,37.48277 M 27.01349,-4.7349 L 26.67211,-4.38446 M -20.11533,33.13825 L -19.68768,33.55122 M 21.26375,1.16729 L 20.46955,1.98255 M 10.22329,-7.93221 L 9.27299,-7.93221 M 18.82443,2.20954 L 19.79922,-1.6286 M 20.04524,2.41811 L 19.91125,2.55565 M -23.17535,34.07567 L -25.39826,36.37756 M 27.81094,-5.55349 L 27.01349,-4.7349 M -22.67,30.61431 L -22.67288,30.44951 M 4.08393,-7.93221 L -0.0,-7.93221 M 0.0,6.56483 L 0.0,0.0 M 20.46955,1.98255 L 20.04524,2.41811 M 14.02448,0.0 L 14.02448,-0.81622 M 6.56346,15.63054 L 0.0,15.63054 M 14.02448,0.0 L 15.12611,-1.13084 M 23.51316,-9.74026 L 18.67393,-4.77273 M -22.66899,30.67221 L -22.67,30.61431 M 14.02448,-7.93221 L 10.22329,-7.93221 M -20.18937,35.84707 L -19.76016,36.26155 M -17.73233,29.87882 L -17.74023,29.42634 M -19.9118,37.50528 L -19.71758,37.69283 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 2, 3 and 6\n(B) 1, 2, 3, 8, 6 and 10\n(C) only 1\n(D) 3 and 8\n(E) 1, 3, 4 and 5\n(F) 1, 3 and 8\n(G) 1, 2, 3 and 8\n(H) 2, 3 and 7\n(I) 1, 3, 8, 4 and 10\n(J) none of the above\n(K) 2 and 8\n(L) 1 and 2\n(M) 1, 2 and 9\n(N) 2, 8, 6 and 9\n(O) 1 and 3\n(P) 1, 2, 3 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:164", "request": "Suppose we draw this SVG path element: M -21.92121,47.30953 L -20.78148,47.71458 M 14.40905,24.0 L 14.40905,24.96698 M 14.40905,32.39396 L 3.31408,32.39396 M -22.17685,36.35017 L -22.20508,36.12025 M -23.3916,38.06123 L -22.06774,39.09554 M -22.16027,36.4852 L -20.38725,37.87044 M 3.31408,32.39396 L -0.0,32.39396 M -18.04787,40.96718 L -18.15992,41.1106 M 14.40905,24.0 L 14.40905,17.52 M 19.66955,32.39396 L 21.40905,32.39396 M 21.40905,24.38303 L 21.40905,24.0 M -23.76117,46.65561 L -22.30112,47.17451 M -20.38725,37.87044 L -18.22022,39.56351 M -18.36801,41.37695 L -18.68692,41.78514 M -21.40312,40.3889 L -24.72153,44.63627 M 21.40905,25.23559 L 21.40905,24.68995 M -22.73973,37.22688 L -22.89215,37.42197 M 14.40905,24.96698 L 14.40905,26.01455 M -22.16027,36.4852 L -22.16591,36.43929 M -20.25199,46.22473 L -20.86765,47.01275 M -17.94926,35.96816 L -19.22719,37.60383 M -22.64049,37.09985 L -22.6687,37.13595 M -22.89215,37.42197 L -22.9394,37.48245 M 21.40905,27.86122 L 21.40905,25.23559 M -22.9394,37.48245 L -22.96063,37.50962 M 14.40905,32.39396 L 16.43905,32.39396 M -19.35293,36.14051 L -24.27822,42.44459 M 14.40905,26.01455 L 14.40905,27.6094 M -5.98707,28.93732 L -7.26939,28.19698 M -22.06774,39.09554 L -19.51049,41.09349 M 16.43905,32.39396 L 19.66955,32.39396 M -22.16591,36.43929 L -22.17685,36.35017 M 21.40905,32.39396 L 21.40905,30.03694 M 0.0,0.0 L 0.0,24.0 M 21.40905,24.68995 L 21.40905,24.38303 M -22.6687,37.13595 L -22.68912,37.16209 M 21.40905,30.03694 L 21.40905,27.86122 M -18.15992,41.1106 L -18.36801,41.37695 M -22.16027,36.4852 L -22.54445,36.97692 M -4.57972,26.6441 L 0.0,24.0 M -22.30112,47.17451 L -21.92121,47.30953 M 14.40905,17.52 L 14.40905,0.0 M -22.54445,36.97692 L -22.64049,37.09985 M -19.22719,37.60383 L -21.40312,40.3889 M -19.51049,41.09349 L -17.87552,42.37086 M -18.68692,41.78514 L -19.27919,42.5432 M -22.20508,36.12025 L -22.33262,35.08153 M -0.0,32.39396 L -3.19272,30.55064 M 0.0,24.0 L 14.40905,24.0 M 14.40905,27.6094 L 14.40905,32.39396 M -7.26939,28.19698 L -4.57972,26.6441 M -3.19272,30.55064 L -5.23396,29.37213 L -5.98707,28.93732 M -22.68912,37.16209 L -22.73973,37.22688 M -20.78148,47.71458 L -20.3382,47.14721 L -20.16582,46.92657 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 1\n(B) 9 and 10\n(C) 7 and 8\n(D) 1 and 7\n(E) 1, 7, 2 and 8\n(F) 1, 7, 2 and 9\n(G) 1 and 6\n(H) 7, 3 and 4\n(I) 1 and 10\n(J) only 3\n(K) only 7\n(L) 1, 7 and 5\n(M) only 10\n(N) 3, 4 and 9\n(O) 4 and 8\n(P) 1 and 3\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:167", "request": "Suppose we draw this SVG path element: M -21.21527,37.70682 L -20.78892,38.01658 M -23.32978,46.25191 L -22.99548,46.89587 M -21.21527,37.70682 L -21.29739,37.18833 M 3.42015,29.89793 L 3.21787,29.46414 M -0.15862,7.81307 L 0.0,6.0 M 0.0,5.0496 L 0.0,4.56 M -1.26607,12.51404 L -0.61009,12.97336 M -22.07556,48.04867 L -21.79699,48.13685 M -6.34415,8.95833 L -4.27989,10.40374 M -18.42166,37.26436 L -23.12395,43.73649 M 16.74106,23.673 L 14.59839,19.07802 M 4.75177,25.30008 L 8.24106,23.673 M 11.38437,12.18555 L 8.5,6.0 M -19.96129,38.61789 L -17.17018,40.64575 M -17.02486,37.04312 L -16.43708,36.23411 M -19.41635,48.16072 L -19.43805,48.16416 M 4.85523,32.97548 L 3.42015,29.89793 M -18.85763,48.07222 L -19.16493,48.12089 M -4.27989,10.40374 L -3.5918,10.88554 M 0.0,6.0 L 3.62607,13.77612 M 0.9758,6.0 L 0.73185,6.0 M -0.59272,21.29232 L -2.8005,16.55772 M -19.40638,47.97686 L -19.45427,48.04277 M 6.12533,32.38322 L 4.85523,32.97548 M -21.7909,39.76073 L -21.11437,40.25226 M 3.60982,25.83258 L 2.54781,26.3278 M 0.0,0.0 L 4.335,0.0 M -23.46659,45.98838 L -23.44068,46.03829 M 0.0,6.0 L 0.0,5.71488 M -22.39084,39.32485 L -21.7909,39.76073 M 3.21787,29.46414 L 2.57732,28.09048 M 2.52497,26.33845 L 4.75177,25.30008 M -22.36987,44.3999 L -22.94739,45.19478 M -19.29315,48.1412 L -19.41635,48.16072 M 2.10783,27.08367 L 1.8969,26.63133 M -22.46025,47.9269 L -22.2679,47.98779 M 0.73185,6.0 L 0.0,6.0 M -19.16493,48.12089 L -19.29315,48.1412 M -17.02486,37.04312 L -18.83421,39.53347 M 8.24106,23.673 L 9.98647,27.41605 M -19.33267,47.87541 L -19.40638,47.97686 M -20.43872,41.74189 L -21.05425,42.58909 M 3.62607,13.77612 L 8.24106,23.673 M -22.19737,44.16247 L -22.36987,44.3999 M 14.06272,17.92927 L 11.38437,12.18555 M 12.67763,23.673 L 14.44606,23.673 M 4.335,0.0 L 8.5,0.0 M -5.63542,10.47821 L -6.34415,8.95833 M -18.83421,39.53347 L -20.43872,41.74189 M 1.75365,6.0 L 0.9758,6.0 M 0.0,4.56 L 0.0,0.0 M 2.54781,26.3278 L 1.8969,26.63133 M 10.80133,30.20277 L 10.29471,30.43901 M 11.19938,30.01716 L 10.80133,30.20277 M 8.24106,23.673 L 3.60982,25.83258 M 8.24106,23.673 L 9.68186,23.673 M -21.05425,42.58909 L -22.19737,44.16247 M -19.7858,41.21752 L -16.72772,43.43935 M -21.79699,48.13685 L -19.44541,48.88124 M -0.61009,12.97336 L -0.15862,7.81307 M -22.99548,46.89587 L -22.6869,47.49029 M -19.44568,48.16537 L -19.55603,48.18284 M -18.96825,47.37382 L -19.33267,47.87541 M -21.34358,36.89668 L -21.4365,36.31002 M 8.5,6.0 L 3.485,6.0 M -23.44068,46.03829 L -23.32978,46.25191 M 9.98647,27.41605 L 11.19938,30.01716 M -22.2679,47.98779 L -22.07556,48.04867 M 14.59839,19.07802 L 14.06272,17.92927 M -22.6869,47.49029 L -22.46025,47.9269 M 3.485,6.0 L 1.75365,6.0 M -22.94739,45.19478 L -23.4905,45.94231 M 10.90921,23.673 L 12.67763,23.673 M -23.4905,45.94231 L -23.46659,45.98838 M 1.8969,26.63133 L 2.52497,26.33845 M -21.29739,37.18833 L -21.34358,36.89668 M -21.11437,40.25226 L -19.7858,41.21752 M -3.5918,10.88554 L -1.26607,12.51404 M 9.74023,30.69757 L 6.12533,32.38322 M -2.8005,16.55772 L -5.63542,10.47821 M 9.68186,23.673 L 10.90921,23.673 M -19.45427,48.04277 L -19.55603,48.18284 M 1.8969,26.63133 L -0.59272,21.29232 M 2.57732,28.09048 L 2.10783,27.08367 M 14.44606,23.673 L 16.74106,23.673 M 10.29471,30.43901 L 9.74023,30.69757 M -20.78892,38.01658 L -19.96129,38.61789 M 0.0,5.71488 L 0.0,5.0496 M -19.43805,48.16416 L -19.44568,48.16537 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 5, 7 and 9\n(B) 1, 2, 5 and 10\n(C) only 6\n(D) 2, 5, 8 and 7\n(E) 1, 2, 5 and 8\n(F) 2 and 9\n(G) 1, 2, 8 and 9\n(H) none of the above\n(I) only 5\n(J) 1 and 6\n(K) 2 and 8\n(L) 2, 5, 3 and 7\n(M) 1, 2 and 8\n(N) 1, 5, 8, 6 and 10\n(O) only 8\n(P) 1 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:171", "request": "Suppose we draw this SVG path element: M -32.75,0.0 L -28.9,6.6684 M -21.75,-10.335 L -21.75,-16.9338 M 0.0,5.51724 L 0.0,0.0 M -6.62576,35.29717 L -6.68582,35.39713 M 2.12413,5.51724 L 0.0,5.51724 M -27.25,9.52628 L -25.92175,7.22568 M -3.24293,0.0 L -15.4425,0.0 M -6.77673,35.85908 L -6.99628,35.91382 M 5.57287,-3.2175 L 4.4583,-2.574 M -0.0,-19.5 L 16.8875,-9.75 M 4.4583,-2.574 L 0.0,0.0 M -8.14792,26.47209 L -5.27641,28.19747 M -9.7875,5.51724 L 0.0,5.51724 M -6.48124,35.05665 L -6.5824,35.22501 M -21.75,5.51724 L -21.08967,5.51724 M -21.75,0.0 L -21.75,0.38559 M -19.10085,0.0 L -21.75,0.0 M -21.75,-16.9338 L -21.75,-19.5 M -6.68582,35.39713 L -6.71816,35.45095 M -6.6192,36.25705 L -6.31018,35.74275 M 0.0,0.0 L 5.51724,-0.0 M -6.78769,35.56667 L -6.99628,35.91382 M 5.23807,5.51724 L 4.98072,5.51724 M -9.56225,25.62228 L -8.14792,26.47209 M 12.81423,-7.3983 L 5.57287,-3.2175 M -4.93428,29.56967 L -5.96436,31.28401 M -18.99863,5.51724 L -9.7875,5.51724 M -21.75,-19.5 L -32.75,-19.5 M -21.75,0.38559 L -21.75,0.80331 M -8.7,-19.5 L -3.306,-19.5 M -32.75,-4.68 L -32.75,0.0 M -6.31018,35.74275 L -6.77673,35.85908 M 4.98072,5.51724 L 4.24827,5.51724 M -6.71816,35.45095 L -6.78769,35.56667 M -15.4425,0.0 L -19.10085,0.0 M -9.91176,35.91197 L -6.82522,36.59992 M -21.75,0.80331 L -21.75,2.86896 M -3.306,-19.5 L -0.0,-19.5 M 4.24827,5.51724 L 3.71723,5.51724 M 16.8875,-9.75 L 12.81423,-7.3983 M -25.92175,7.22568 L -25.325,6.19208 M -9.56225,25.62228 L -9.7949,24.68918 M -6.82522,36.59992 L -6.6192,36.25705 M -21.75,0.0 L -21.75,-10.335 M -7.76415,27.07601 L -10.08098,32.31039 M -6.81784,24.93802 L -7.76415,27.07601 M 0.0,0.0 L -3.24293,0.0 M -25.325,6.19208 L -21.75,0.0 M -21.08967,5.51724 L -18.99863,5.51724 M -21.75,-19.5 L -15.3555,-19.5 M 5.51724,-0.0 L 5.51724,5.51724 M -28.9,6.6684 L -27.25,9.52628 M -6.5824,35.22501 L -6.62576,35.29717 M 5.51724,5.51724 L 5.23807,5.51724 M -5.44563,24.59589 L -8.70877,31.96826 M -9.7949,24.68918 L -9.90438,24.25007 M -7.89225,28.95898 L -4.59215,30.94188 M 3.71723,5.51724 L 2.12413,5.51724 M -15.3555,-19.5 L -8.7,-19.5 M -32.75,-19.5 L -32.75,-4.68 M -10.59233,27.33661 L -7.89225,28.95898 M -21.75,2.86896 L -21.75,5.51724 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5 and 4\n(B) 7 and 4\n(C) 2 and 5\n(D) 1, 2 and 10\n(E) only 5\n(F) 1, 2 and 4\n(G) 1, 5 and 7\n(H) 1, 2, 5, 7, 4, 6 and 10\n(I) 1 and 2\n(J) 1, 2, 5 and 7\n(K) 1, 2, 7 and 6\n(L) 1 and 10\n(M) only 7\n(N) 1, 7 and 8\n(O) 5 and 6\n(P) only 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:172", "request": "Suppose we draw this SVG path element: M -18.47928,30.16286 L -17.04319,31.54967 M -20.85589,37.20774 L -20.46051,37.39688 M 18.63835,6.25812 L 21.75497,10.91071 M 12.74068,-2.54608 L 9.97168,-6.67972 M -19.89523,28.7955 L -18.47928,30.16286 M -20.46051,37.39688 L -20.24542,37.49977 M 18.63835,6.25812 L 13.87168,-0.85769 M -19.4059,37.90138 L -18.80596,38.18837 M -19.00341,26.87639 L -15.40671,30.34968 M -17.10903,27.79381 L -19.00561,29.75778 M -17.04319,31.54967 L -15.35734,33.17767 M -20.03033,37.60267 L -19.4059,37.90138 M 0.0,3.24 L 0.0,2.1951 M -18.80596,38.18837 L -18.1113,37.46903 M 10.76072,11.53511 L 14.06932,9.31877 M 8.66667,12.93785 L 8.66667,21.93785 M -18.30926,37.47249 L -18.8183,37.48137 M 21.75497,10.91071 L 22.03547,11.32944 M -19.00561,29.75778 L -19.50977,30.27985 M 2.86,13.26949 L 0.8008,10.19546 M 22.53413,12.07386 L 15.05537,17.08366 M 0.0,0.81 L 0.0,0.0 M 8.66667,21.93785 L 4.54393,15.78331 M -20.39272,28.31507 L -19.89523,28.7955 M -20.24542,37.49977 L -20.03033,37.60267 M 13.87168,-0.85769 L 12.74068,-2.54608 M 14.0582,17.75163 L 12.56245,18.75359 M -19.02143,25.84417 L -19.02316,25.74491 M 0.8008,10.19546 L 0.0,9.0 M -19.59934,33.25172 L -19.84975,33.68608 L -20.25831,34.39477 M 0.0,0.0 L 8.66667,12.93785 M 0.0,9.0 L 0.0,3.24 M -21.24364,32.07532 L -21.73268,32.58174 M -16.17541,26.82702 L -17.10903,27.79381 M -16.77134,33.20236 L -16.052,33.89701 M -21.65863,36.82374 L -20.85589,37.20774 M -14.76141,26.80234 L -19.59934,33.25172 M 8.66667,12.93785 L 9.44147,12.41884 M -20.25831,34.39477 L -21.65863,36.82374 M 4.54393,15.78331 L 2.86,13.26949 M 10.37814,11.79139 L 10.76072,11.53511 M 0.0,2.1951 L 0.0,0.81 M -19.02316,25.74491 L -19.02809,25.46239 M -19.00341,26.87639 L -19.02143,25.84417 M 22.03547,11.32944 L 22.53413,12.07386 M -19.50977,30.27985 L -21.24364,32.07532 M 9.44147,12.41884 L 10.37814,11.79139 M -18.1113,37.46903 L -18.20236,37.47062 L -18.30926,37.47249 M 15.05537,17.08366 L 14.0582,17.75163 M 14.06932,9.31877 L 18.63835,6.25812 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 6, 3 and 4\n(B) only 6\n(C) 5 and 6\n(D) only 5\n(E) 5 and 9\n(F) 5, 6 and 1\n(G) 5, 6, 1, 8 and 9\n(H) 2 and 3\n(I) 5 and 8\n(J) 6, 3 and 8\n(K) 5, 6 and 7\n(L) 6, 1 and 8\n(M) only 2\n(N) none of the above\n(O) 6, 7 and 8\n(P) only 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:173", "request": "Suppose we draw this SVG path element: M -25.39821,24.59385 L -25.72065,24.84691 M -25.39821,24.59385 L -25.05535,24.38784 M 15.28826,11.85324 L 16.37089,9.57128 M 10.16756,0.0 L 9.21914,0.0 M 9.69494,7.21673 L 6.9028,7.44231 M 15.13909,12.16765 L 15.18086,12.07962 M -33.98992,33.05726 L -32.75634,34.11325 M -27.36432,26.13687 L -30.12132,28.30058 M 2.71458,7.78068 L 1.52016,7.87718 M 20.52295,12.94212 L 20.30287,12.9599 M -29.06843,24.31041 L -28.459,25.32466 M -29.36385,23.81875 L -29.31588,23.89858 M -26.18465,25.21106 L -27.36432,26.13687 M 15.18086,12.07962 L 15.28826,11.85324 M 11.08031,0.0 L 10.71236,0.0 M -29.31588,23.89858 L -29.28255,23.95405 M 17.11425,8.00443 L 18.91198,6.76338 M 11.23801,0.0 L 11.08031,0.0 M -28.77915,25.82819 L -29.11707,26.09339 M 5.5258,16.00443 L 7.12675,12.62995 M 19.02782,13.06291 L 17.36823,13.19699 M -29.51483,23.56747 L -29.36385,23.81875 M -29.28255,23.95405 L -29.06843,24.31041 M 11.58845,0.0 L 17.11425,8.00443 M -25.05535,24.38784 L -24.54105,24.07882 M 0.0,4.56 L 0.0,8.0 M 24.0286,3.23116 L 27.43729,8.16885 M -25.72065,24.84691 L -26.18465,25.21106 M 8.19405,10.3803 L 9.69494,7.21673 M 17.11425,8.00443 L 5.5258,16.00443 M -28.9961,30.25558 L -28.48107,31.11275 M 16.69427,8.88966 L 17.11425,8.00443 M 0.0,0.0 L 0.0,1.9152 M 24.0286,3.23116 L 21.70776,-0.1307 M 9.21914,0.0 L 8.34368,0.0 M 11.58845,0.0 L 11.23801,0.0 M -27.63855,26.69013 L -27.4778,26.95766 M -29.76916,26.60515 L -30.07603,26.84598 M 19.83519,12.99768 L 19.02782,13.06291 M -29.24797,22.49715 L -29.19302,22.27677 M 16.37089,9.57128 L 16.69427,8.88966 M -24.38025,23.43388 L -24.33673,23.25934 M -32.75634,34.11325 L -32.37294,34.44146 M 0.0,1.9152 L 0.0,3.52853 M 14.54243,13.42529 L 14.94816,12.57009 M 17.36823,13.19699 L 15.92707,13.31342 M -27.98314,26.11663 L -27.63855,26.69013 M 15.92707,13.31342 L 14.54243,13.42529 M -30.07603,26.84598 L -31.53364,27.98993 M 10.71236,0.0 L 10.16756,0.0 M 14.94816,12.57009 L 15.13909,12.16765 M -34.65415,32.48865 L -33.98992,33.05726 M 18.91198,6.76338 L 24.0286,3.23116 M -30.25575,26.21759 L -27.6239,30.59771 M -31.53364,27.98993 L -33.11272,29.2292 M 20.30287,12.9599 L 19.83519,12.99768 M 0.0,8.0 L 11.58845,0.0 M -32.37294,34.44146 L -32.25186,34.54511 M 7.12675,12.62995 L 8.19405,10.3803 M 8.34368,0.0 L 0.0,0.0 M 6.9028,7.44231 L 2.71458,7.78068 M -31.3947,34.03007 L -32.0808,33.85901 M -30.12132,28.30058 L -31.74051,29.57133 M -24.33673,23.25934 L -24.19892,22.70661 M -31.22917,24.59754 L -30.25575,26.21759 M -27.42748,24.76739 L -28.77915,25.82819 M 0.0,3.52853 L 0.0,4.56 M -27.4778,26.95766 L -26.93964,27.8533 M 21.70776,-0.1307 L 18.5028,-4.77327 M -28.459,25.32466 L -27.98314,26.11663 M 1.52016,7.87718 L 0.0,8.0 M -29.19302,22.27677 L -29.1727,22.19526 M -29.11707,26.09339 L -29.76916,26.60515 M -24.54105,24.07882 L -24.38025,23.43388 M 27.43729,8.16885 L 20.52295,12.94212 M -26.77042,24.25172 L -27.42748,24.76739 M -29.51483,23.56747 L -29.24797,22.49715 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5, 7 and 8\n(B) 5, 8 and 2\n(C) 4 and 2\n(D) 4, 5, 7 and 8\n(E) only 7\n(F) 4, 5 and 8\n(G) 4, 5 and 7\n(H) 5, 8, 2 and 6\n(I) none of the above\n(J) only 4\n(K) 4, 7, 8 and 6\n(L) 4, 5, 8 and 10\n(M) 4, 7, 8 and 1\n(N) 4 and 10\n(O) 8 and 2\n(P) 4, 8, 9 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:174", "request": "Suppose we draw this SVG path element: M 0.12532,59.85712 L 0.24411,59.8395 L 0.36775,59.82117 M -0.56817,57.75607 L -0.54292,58.11383 M 17.01942,23.0 L 17.01942,0.0 M -0.70448,55.82425 L -0.56817,57.75607 M 17.99886,33.09849 L 20.08017,33.09849 M -4.12277,52.17524 L -0.53807,52.80732 M 21.52053,15.20385 L 17.01942,23.0 M 20.08017,33.09849 L 26.02164,33.09849 M 1.61243,54.20193 L 2.14423,54.2957 L 2.59724,54.37558 M -1.45856,48.5833 L -2.84775,56.46177 M -0.54292,58.11383 L -0.52745,58.33311 M 17.01942,25.52462 L 17.01942,33.09849 M 26.02164,33.09849 L 26.02164,35.26849 M 0.0,23.0 L 17.01942,23.0 M 26.02164,23.0 L 25.06876,21.34955 M -0.22196,47.32898 L -0.16179,46.98775 M 0.36775,59.82117 L 2.17421,59.55329 M 1.95973,52.23232 L 1.61243,54.20193 M 0.0,0.0 L 0.0,23.0 M -1.4712,50.61193 L -1.11649,50.67447 M -0.26534,59.91505 L -0.19843,59.90513 M -0.12646,46.78734 L -0.77539,45.86057 M -0.53807,52.80732 L 0.8517,53.05238 M -2.6587,50.40254 L -1.4712,50.61193 M -0.34992,48.76416 L -0.47803,51.31507 M -0.52745,58.33311 L -0.41427,59.93713 M 2.17421,59.55329 L 2.7138,59.47327 M -0.3001,47.77214 L -0.22196,47.32898 M -0.90543,45.67484 L -0.93762,45.62888 M -0.47803,51.31507 L -0.70448,55.82425 M -0.3001,47.77214 L -0.34992,48.76416 M 3.91447,33.09849 L 0.0,33.09849 M -0.77539,45.86057 L -0.88733,45.7007 M -0.19843,59.90513 L 0.12532,59.85712 M 0.8517,53.05238 L 1.44731,53.1574 M 17.01942,33.09849 L 17.99886,33.09849 M -0.41427,59.93713 L -0.26534,59.91505 M 26.02164,30.47288 L 26.02164,23.0 M 17.01942,25.01263 L 17.01942,25.52462 M 17.01942,23.0 L 17.01942,24.21182 M -0.88733,45.7007 L -0.90543,45.67484 M 26.02164,33.09849 L 26.02164,30.47288 M 17.01942,33.09849 L 10.46694,33.09849 M 26.02164,40.09849 L 17.01942,40.09849 M -0.16179,46.98775 L -0.12646,46.78734 M 25.06876,21.34955 L 22.73583,17.30881 M 26.02164,35.26849 L 26.02164,40.09849 M 10.46694,33.09849 L 3.91447,33.09849 M 1.44731,53.1574 L 2.77089,53.39078 M 17.01942,24.21182 L 17.01942,25.01263 M 22.73583,17.30881 L 21.52053,15.20385 M -1.11649,50.67447 L 1.14857,51.07386 M -3.77547,50.20562 L -2.6587,50.40254 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) 6 and 9\n(C) 7, 1 and 8\n(D) only 7\n(E) 6, 1 and 10\n(F) 6 and 7\n(G) 6, 7 and 3\n(H) only 1\n(I) only 6\n(J) only 2\n(K) only 4\n(L) only 10\n(M) 3 and 5\n(N) only 5\n(O) 1, 2 and 10\n(P) 6, 7, 4, 9 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:175", "request": "Suppose we draw this SVG path element: M 13.59229,0.0 L 12.1651,-2.47197 M -29.79729,33.55777 L -30.50254,34.19278 M 0.0,15.61157 L 1.45347,17.06504 M -27.4607,40.11169 L -27.28271,40.30937 M -26.7119,33.47094 L -32.65706,38.82398 M -24.6305,34.28809 L -30.99852,36.63089 M -29.53645,33.32291 L -28.57625,34.38932 M 0.9743,29.356 L 11.4636,34.24724 M -32.18322,43.45556 L -31.36631,43.91897 M 10.56067,31.76645 L 7.35936,22.97093 M -28.16473,34.84636 L -26.1908,37.03863 M 13.59229,15.61157 L 3.66992,15.61157 M 2.1068,-3.64909 L 1.28515,-2.22594 M -32.8791,43.06081 L -32.18322,43.45556 M 7.35936,22.97093 L 0.9743,29.356 M -27.28271,40.30937 L -27.08197,40.53231 M 0.9743,29.356 L -0.47697,27.90473 M 1.28515,-2.22594 L 0.0,0.0 M 0.0,14.55779 L 0.0,15.61157 M -29.34842,43.24584 L -29.52677,43.40643 M 7.01719,22.62876 L 7.35936,22.97093 M -4.03007,24.35163 L -6.38507,21.99663 M -29.53645,33.32291 L -29.79729,33.55777 M 0.0,11.39645 L 0.0,14.55779 M 6.52481,22.13638 L 7.01719,22.62876 M -29.85435,43.70138 L -30.09156,43.91497 M 2.53224,15.61157 L 0.0,15.61157 M -26.84744,38.97551 L -27.45385,39.52152 M -31.02274,34.66117 L -26.33883,39.86318 M -31.36631,43.91897 L -30.12857,44.62111 M 1.45347,17.06504 L 5.81389,21.42546 M 11.4636,34.24724 L 10.56067,31.76645 M 12.1651,-2.47197 L 6.79614,-11.77127 M 0.0,0.0 L 0.0,11.39645 M 3.66992,15.61157 L 2.53224,15.61157 M 7.35936,22.97093 L 20.95165,22.97093 M 13.59229,6.86909 L 13.59229,0.0 M -27.75111,39.78917 L -27.4607,40.11169 M 0.0,15.61157 L 13.59229,15.61157 M -28.38695,34.59956 L -28.16473,34.84636 M -30.99852,36.63089 L -34.73847,38.00682 M -29.38542,43.95198 L -29.78086,43.93125 M 20.95165,22.97093 L 15.87369,17.89297 M -27.45385,39.52152 L -27.75111,39.78917 M 6.79614,-11.77127 L 2.1068,-3.64909 M 6.33286,21.94443 L 6.52481,22.13638 M -29.52677,43.40643 L -29.85435,43.70138 M -28.57625,34.38932 L -28.38695,34.59956 M -29.78086,43.93125 L -30.09156,43.91497 M -26.26482,38.45091 L -26.84744,38.97551 M 15.87369,17.89297 L 13.59229,15.61157 L 13.59229,6.86909 M -0.47697,27.90473 L -4.03007,24.35163 M 5.81389,21.42546 L 6.33286,21.94443 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3 and 7\n(B) only 3\n(C) 3, 4, 5 and 7\n(D) 5 and 7\n(E) 3, 5, 7 and 10\n(F) only 5\n(G) 4 and 8\n(H) 3, 4 and 2\n(I) 3, 2 and 8\n(J) 3, 4, 5, 7, 1 and 6\n(K) 4, 5 and 7\n(L) 5, 7, 6 and 10\n(M) 4, 5, 7 and 8\n(N) only 4\n(O) 3, 7 and 2\n(P) 5, 2 and 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:177", "request": "Suppose we draw this SVG path element: M 0.0,23.0 L 0.0,0.0 M 5.70352,-3.40001 L 4.89856,-2.92016 M -7.28794,1.44511 L -6.01271,3.58432 M 16.77109,-4.06647 L 10.97584,-0.61177 M 3.16686,36.96409 L 3.09457,36.88656 M 1.86731,26.13241 L 1.33044,25.23181 M 3.25735,-1.94179 L 1.36809,-0.81555 M 13.69868,-9.22045 L 13.87489,-8.92485 M -11.21649,-5.14503 L -10.76933,-4.39493 M 2.6087,4.37609 L 2.6087,8.97609 M 9.71743,39.73943 L 10.61848,39.7709 M 1.34922,2.26332 L 2.24345,3.76339 M 13.94964,-8.79945 L 14.1624,-8.44256 M 3.56464,37.39065 L 3.27994,37.08535 M -3.21331,-11.2636 L 2.27604,-14.53594 M 13.87489,-8.92485 L 13.94964,-8.79945 M 6.49497,33.27532 L 6.28056,33.0454 M 15.23196,-6.64836 L 16.77109,-4.06647 M 7.29035,37.65346 L 8.6895,37.70232 M 3.62275,39.5266 L 6.70087,39.63409 M 10.93389,45.06553 L 10.92623,45.285 M 6.70087,39.63409 L 8.23932,39.68781 M 0.75652,1.26907 L 1.34922,2.26332 M 5.81525,37.60195 L 7.29035,37.65346 M 4.89856,-2.92016 L 3.8646,-2.30379 M -5.79653,-9.72368 L -3.21331,-11.2636 M -11.80923,-6.13936 L -11.21649,-5.14503 M 11.32857,44.90981 L 11.13309,45.0921 M -1.75983,-2.95211 L -3.82571,-6.41763 M 1.33044,25.23181 L 0.0,23.0 M 1.35652,2.27557 L 0.0,0.0 L 0.75652,1.26907 M 10.97584,-0.61177 L 7.99041,1.16792 M 5.95707,32.6985 L 5.86583,32.60066 M 14.1624,-8.44256 L 7.07412,-4.21706 M 9.61931,39.7296 L 9.58419,40.73539 M 2.6087,27.37609 L 1.86731,26.13241 M 2.33322,3.91398 L 1.35652,2.27557 M 14.1624,-8.44256 L 15.23196,-6.64836 M 7.79481,34.66924 L 3.44825,44.52355 M 11.40848,45.80214 L 11.44338,44.80275 M 11.03793,45.18083 L 10.92623,45.285 M -5.79653,-9.72368 L -11.80923,-6.13936 M -3.82571,-6.41763 L -5.79653,-9.72368 M 2.27604,-14.53594 L 8.36587,-18.16624 M 9.65399,38.73661 L 9.63584,39.25629 L 9.61931,39.7296 M 11.1883,-6.66962 L 14.1624,-8.44256 M 2.24345,3.76339 L 2.6087,4.37609 M 1.36809,-0.81555 L 0.0,0.0 M 3.09457,36.88656 L 2.72806,36.49353 M 10.95718,44.39864 L 10.94752,44.67537 L 10.93389,45.06553 M 0.0,0.0 L 11.1883,-6.66962 M 3.8646,-2.30379 L 3.25735,-1.94179 M 11.13309,45.0921 L 11.03793,45.18083 M -10.76933,-4.39493 L -9.41159,-2.11731 M 5.76113,35.59884 L 5.48193,43.59396 M 11.44338,44.80275 L 11.32857,44.90981 M 2.6087,8.97609 L 2.6087,27.37609 M 8.36587,-18.16624 L 12.71327,-10.87348 M 3.69255,37.52782 L 3.56464,37.39065 M 6.28056,33.0454 L 5.95707,32.6985 M 12.71327,-10.87348 L 13.69868,-9.22045 M 0.0,0.0 L -1.75983,-2.95211 M -9.41159,-2.11731 L -7.28794,1.44511 M 10.96113,44.28561 L 10.95718,44.39864 M 7.99041,1.16792 L 4.8152,3.06074 M 3.69255,37.52782 L 5.81525,37.60195 M 8.23932,39.68781 L 9.71743,39.73943 M 2.6087,4.37609 L 2.33322,3.91398 M 3.27994,37.08535 L 3.16686,36.96409 M 6.83032,33.63495 L 6.49497,33.27532 M 4.8152,3.06074 L 2.6087,4.37609 M 7.07412,-4.21706 L 5.70352,-3.40001 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 1, 9 and 10\n(B) 1 and 4\n(C) 4 and 3\n(D) 1, 4 and 5\n(E) only 4\n(F) 1, 4, 5, 7 and 10\n(G) only 5\n(H) 1, 4, 8 and 10\n(I) none of the above\n(J) 5 and 9\n(K) 1 and 5\n(L) only 7\n(M) only 1\n(N) 4, 5, 6 and 10\n(O) 4 and 5\n(P) 5, 7 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:180", "request": "Suppose we draw this SVG path element: M -5.69982,41.97436 L -5.76162,41.84183 M 25.44805,6.26294 L 20.46687,9.7508 M -5.83131,41.69238 L -6.13899,41.03256 M 20.46687,0.0 L 20.46687,-0.76744 M -5.76162,41.84183 L -5.83131,41.69238 M 9.1998,-5.31151 L 0.0,0.0 M 32.79964,-14.35542 L 32.29665,-14.35542 M -5.23054,46.53264 L -5.31985,46.77801 M 20.46687,6.29902 L 20.46687,4.7112 M 20.46687,3.99783 L 20.46687,0.0 M 20.46687,-1.74418 L 20.46687,-6.45994 M -5.70327,53.67906 L -5.56968,53.31202 M 9.00542,-14.35542 L 8.54975,-14.35542 M 10.62204,-6.13264 L 9.1998,-5.31151 M -9.25503,45.66072 L -10.73181,47.19198 M 20.46687,-9.18747 L 20.46687,0.0 M 28.40445,-14.35542 L 20.46687,-14.35542 M -10.48465,43.42536 L -10.84035,44.40264 M 32.29665,-14.35542 L 28.40445,-14.35542 M -10.89815,44.56145 L -10.92928,44.64696 M -5.18851,46.41717 L -5.23054,46.53264 M -5.66009,52.09851 L -6.00211,53.0382 M -5.56968,53.31202 L -5.49122,53.09645 M -5.44231,52.96208 L -5.39894,52.84292 M -5.40719,47.01797 L -5.73574,47.92068 M -5.31985,46.77801 L -5.40719,47.01797 M 20.46687,0.0 L 34.39245,0.0 M 20.46687,17.0 L 0.0,17.0 M -10.88023,44.51222 L -10.89815,44.56145 M 16.73371,0.0 L 20.46687,0.0 M -5.83972,48.20635 L -5.86467,48.27491 M -12.53677,49.06351 L -10.18643,51.96219 M 34.39245,0.0 L 30.63254,2.63272 M -11.16869,45.30474 L -10.08335,45.69978 M -5.78253,48.04923 L -5.83972,48.20635 M -5.38047,52.79218 L -5.36125,52.73937 M -10.84035,44.40264 L -10.88023,44.51222 M 20.46687,-0.76744 L 20.46687,-1.74418 M -5.69982,41.97436 L -9.25503,45.66072 M 7.02423,-14.35542 L 0.0,-14.35542 M -6.4374,44.89844 L -5.78619,45.13546 M 0.0,-14.35542 L 12.43216,-7.17771 M 34.39245,-14.35542 L 32.79964,-14.35542 M -5.86467,48.27491 L -5.86948,48.28812 M -9.20811,53.16876 L -8.86437,53.59269 M -9.97346,43.61142 L -8.88717,44.00679 L -6.4374,44.89844 M -5.86948,48.28812 L -5.87255,48.29656 M 0.0,17.0 L 0.0,11.56 M 20.46687,-14.35542 L 15.76768,-14.35542 M -5.73574,47.92068 L -5.78253,48.04923 M -9.56031,52.73439 L -9.20811,53.16876 M 12.68946,0.0 L 16.73371,0.0 M 0.0,0.0 L 12.68946,0.0 M 0.0,11.56 L 0.0,0.0 M -10.73181,47.19198 L -12.53677,49.06351 M 34.39245,0.0 L 34.39245,-14.35542 M 12.43216,-7.17771 L 10.62204,-6.13264 M 30.63254,2.63272 L 25.44805,6.26294 M -8.96317,46.78855 L -9.71769,50.08957 M -9.52423,45.90328 L -4.59084,47.69888 M 15.76768,-14.35542 L 9.00542,-14.35542 M -5.49122,53.09645 L -5.44231,52.96208 M -10.48465,43.42536 L -9.97346,43.61142 M 20.46687,0.0 L 20.46687,17.0 M 20.46687,4.7112 L 20.46687,3.99783 M -5.39894,52.84292 L -5.38047,52.79218 M 20.46687,-14.35542 L 20.46687,-9.18747 M -6.13899,41.03256 L -6.29749,40.69265 M -10.08335,45.69978 L -9.52423,45.90328 M -10.04242,52.1398 L -9.56031,52.73439 M 20.46687,-6.45994 L 20.46687,-14.35542 M 20.46687,9.7508 L 20.46687,6.29902 M -10.18643,51.96219 L -10.04242,52.1398 M -7.92122,42.23001 L -8.96317,46.78855 M 8.54975,-14.35542 L 7.02423,-14.35542 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 3, 4, 8 and 6\n(B) 3, 8 and 7\n(C) 1, 3, 4 and 2\n(D) 1 and 3\n(E) 3, 4 and 8\n(F) 3 and 10\n(G) 3 and 8\n(H) 1, 3, 4 and 8\n(I) 8 and 10\n(J) 1, 3 and 4\n(K) only 10\n(L) 4 and 8\n(M) 3 and 4\n(N) 3, 4, 8, 9 and 10\n(O) 1 and 9\n(P) 1, 4, 8, 2 and 7\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:181", "request": "Suppose we draw this SVG path element: M -15.14137,16.5931 L -14.92344,16.02538 M 2.92013,-21.77827 L 7.66044,-16.12898 M -13.34655,-9.70111 L -20.85398,-9.70111 M 0.0,-9.70111 L -13.34655,-9.70111 M -19.46376,21.63639 L -19.41715,21.74109 M -11.88677,-5.52963 L 0.0,0.0 M -19.41715,21.74109 L -19.40243,21.77415 M -11.88638,-23.86674 L -12.36108,-24.43246 M -19.80917,20.86061 L -19.67055,21.17194 M -19.52038,21.50922 L -19.48981,21.57789 M -14.23519,-26.66594 L -6.57474,-33.09382 M -3.5588,-13.94232 L -11.88638,-23.86674 M -22.39647,23.65451 L -22.82584,23.84567 M -19.99788,17.97817 L -18.48889,21.36742 M -17.98208,20.04714 L -19.80917,20.86061 M -13.33818,-25.59693 L -14.23519,-26.66594 M -21.33604,14.9726 L -20.55991,16.71583 M -22.64988,24.31465 L -22.69239,24.29833 M -18.4311,16.58002 L -17.47527,18.72685 M -20.90846,-26.66594 L -35.08917,-26.66594 M -20.96979,19.18808 L -25.19037,21.0672 M -35.08917,-26.66594 L -20.85398,-9.70111 M -22.95119,24.19899 L -22.96305,24.19444 M 0.0,-3.29838 L 0.0,-9.70111 M -2.33331,-9.70111 L -1.22621,-9.70111 M -22.82584,23.84567 L -23.31002,24.06124 M 0.0,-9.70111 L -1.54986,-11.54816 M -23.23369,24.09054 L -23.31002,24.06124 M -22.93482,24.20528 L -22.95119,24.19899 M -19.86482,16.50684 L -24.17675,18.42664 M -19.60147,21.32709 L -19.52038,21.50922 M -22.69239,24.29833 L -22.83472,24.2437 M -20.55991,16.71583 L -19.99788,17.97817 M 0.0,0.0 L 12.31414,5.72844 M -19.50895,14.15913 L -18.4311,16.58002 M -18.05558,17.89059 L -20.96979,19.18808 M -23.9842,24.26114 L -23.56342,24.72138 M -1.54986,-11.54816 L -2.31322,-12.4579 M -25.01438,23.13433 L -23.9842,24.26114 M -20.85398,-9.70111 L -11.88677,-5.52963 M -22.83472,24.2437 L -22.85774,24.23486 M -9.74298,-9.70111 L -5.83911,-9.70111 M -25.69718,22.38748 L -25.01438,23.13433 M -12.36108,-24.43246 L -12.89637,-25.0704 M -16.86839,15.17274 L -19.86482,16.50684 M -15.14137,16.5931 L -18.05558,17.89059 M -22.85774,24.23486 L -22.93482,24.20528 M -14.92344,16.02538 L -14.63456,15.27282 M -1.22621,-9.70111 L 0.0,-9.70111 M -2.87359,-28.68296 L 2.92013,-21.77827 M -22.96305,24.19444 L -23.23369,24.09054 M 0.0,0.0 L 0.0,-3.29838 M -14.23519,-26.66594 L -20.90846,-26.66594 M -2.31322,-12.4579 L -3.5588,-13.94232 M -19.67055,21.17194 L -19.60147,21.32709 M -12.89637,-25.0704 L -13.33818,-25.59693 M -5.83911,-9.70111 L -2.33331,-9.70111 M -20.85398,-9.70111 L -9.74298,-9.70111 M -19.48981,21.57789 L -19.46376,21.63639 M -6.57474,-33.09382 L -2.87359,-28.68296 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 3\n(B) 4 and 5\n(C) only 5\n(D) 2, 4, 5, 8 and 9\n(E) 2, 4 and 5\n(F) 2, 4, 5 and 10\n(G) 4, 5 and 7\n(H) 2 and 4\n(I) 2 and 5\n(J) 2, 5 and 10\n(K) none of the above\n(L) 5, 6 and 10\n(M) 2, 5 and 8\n(N) 2, 4, 5 and 6\n(O) only 4\n(P) only 2\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:187", "request": "Suppose we draw this SVG path element: M 12.69397,18.568 L 12.69397,10.56 M -16.14658,51.81852 L -15.85796,51.97851 M 8.53542,22.0 L 12.69397,22.0 M -15.23644,44.73115 L -15.26872,44.61859 M -15.57557,43.54845 L -15.76658,42.88233 M 0.0,11.4972 L 0.0,14.74 M 12.10872,36.54952 L 13.18948,35.8684 M -15.85796,51.97851 L -15.27196,52.30333 M 6.34699,10.9933 L 4.34769,7.53041 M 1.85496,32.94336 L 4.7615,37.5553 M -21.22525,54.34137 L -20.86403,54.9661 M -19.93987,46.28581 L -19.34382,46.61621 M -15.27412,44.59975 L -15.29033,44.54322 M 22.48969,25.69676 L 23.23652,24.27907 M 0.34909,0.60463 L 0.0,0.0 M 12.69397,9.40685 L 12.69397,6.4416 M -20.66677,55.30726 L -20.41572,55.74146 M 12.69397,0.0 L 6.34699,10.9933 M -15.29033,44.54322 L -15.37677,44.24176 M 0.0,22.0 L 5.44825,22.0 M -19.12728,49.02294 L -16.56263,50.44455 M -22.84873,51.53352 L -21.55868,53.7647 M 19.40723,21.73976 L 16.38626,21.85687 M -16.95741,47.93901 L -15.56677,48.70985 M 7.3625,22.0 L 8.53542,22.0 M 0.0,18.0796 L 0.0,19.72617 M -20.41572,55.74146 L -19.93006,56.58143 M -17.88451,47.42511 L -16.95741,47.93901 M -20.04902,45.90517 L -20.32968,44.92638 M 12.69397,22.0 L -0.0,30.0 L 0.0,25.04 L 0.0,24.1584 M 1.58675,2.74832 L 0.34909,0.60463 M 0.50084,30.79471 L 1.85496,32.94336 M -15.17696,50.06928 L -15.92357,51.41619 M 0.0,0.0 L 0.0,11.4972 M -16.56263,50.44455 L -15.37306,51.10394 M 22.29116,26.07362 L 22.48969,25.69676 M 24.68193,21.53529 L 19.40723,21.73976 M -19.93987,46.28581 L -20.04902,45.90517 M 23.23652,24.27907 L 23.5256,23.73031 M -14.98696,45.60119 L -15.23644,44.73115 M 12.69397,19.80352 L 12.69397,18.568 M -17.22101,45.50619 L -18.42255,48.49889 M 23.5256,23.73031 L 24.68193,21.53529 M 19.0904,32.14952 L 19.76977,30.85989 M 4.7615,37.5553 L 6.39643,40.14952 M 12.69397,22.0 L 12.69397,19.80352 M 13.18948,35.8684 L 15.11084,34.65752 M 5.44825,22.0 L 7.3625,22.0 M 16.38626,21.85687 L 12.69397,22.0 M -14.98696,45.60119 L -22.84873,51.53352 M 19.76977,30.85989 L 21.60659,27.37312 M -19.64813,51.55145 L -20.22487,52.98795 M 0.0,19.72617 L 0.0,22.0 M 12.69397,6.4416 L 12.69397,0.0 M -20.90949,48.03505 L -19.12728,49.02294 M 0.0,14.74 L 0.0,18.0796 M -15.92357,51.41619 L -16.14658,51.81852 M -15.26872,44.61859 L -15.27412,44.59975 M 21.60659,27.37312 L 22.29116,26.07362 M -21.55868,53.7647 L -21.22525,54.34137 M -18.42255,48.49889 L -19.64813,51.55145 M 12.69397,10.56 L 12.69397,9.40685 M -19.34382,46.61621 L -17.88451,47.42511 M 0.0,24.1584 L 0.0,22.0 M -0.0,30.0 L 0.50084,30.79471 M 15.11084,34.65752 L 19.0904,32.14952 M -20.86403,54.9661 L -20.66677,55.30726 M 4.34769,7.53041 L 1.58675,2.74832 M -15.37306,51.10394 L -14.78715,51.42871 M -15.37677,44.24176 L -15.48213,43.87431 M 6.39643,40.14952 L 12.10872,36.54952 M -15.48213,43.87431 L -15.57557,43.54845 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4, 7 and 10\n(B) 8 and 10\n(C) 3, 7 and 10\n(D) 3, 4, 7, 8, 2 and 5\n(E) 3, 8 and 9\n(F) 3, 4, 7 and 8\n(G) 4, 8 and 5\n(H) only 3\n(I) 3, 4 and 7\n(J) 3, 4, 7, 8 and 6\n(K) 3, 7, 8 and 6\n(L) 8 and 2\n(M) 4, 7 and 5\n(N) 3, 4 and 6\n(O) 3, 4 and 8\n(P) only 1\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:188", "request": "Suppose we draw this SVG path element: M 6.69033,52.18322 L 6.74395,51.7465 M -0.55211,42.91332 L -0.70084,42.72295 M 0.5246,43.36608 L 0.91598,43.41414 M 1.17057,43.4454 L 1.8589,43.52992 M 6.37686,50.63347 L 6.36662,50.71684 M -0.27508,43.2679 L -0.04556,43.29608 M 0.91598,43.41414 L 1.17057,43.4454 M 5.31459,46.97675 L 5.97959,47.0584 M 0.0,21.0 L -0.0,30.0 M -0.15753,45.29735 L 0.87074,45.42361 M 12.42871,5.44253 L 12.42871,2.4696 M 6.32568,51.05034 L 6.255,51.62601 M -15.36149,13.28952 L -6.49823,13.28952 L -5.43218,13.28952 M 1.31028,46.76718 L 0.9788,49.46691 M -13.22876,30.0 L -13.22876,25.86 M 0.0,21.0 L 7.58151,21.0 M -13.22876,21.0 L -6.87896,21.0 M 1.95375,41.52654 L 1.31028,46.76718 M -3.32395,21.0 L -4.64032,21.0 M 12.42871,1.11132 L 12.42871,0.0 M 3.59083,52.81016 L 4.52533,52.62114 M 10.00511,21.0 L 12.42871,21.0 M 1.76951,45.53397 L 3.59429,45.75802 M 5.97959,47.0584 L 6.30713,47.09862 M -0.0,30.0 L -5.2915,30.0 M 6.74395,51.7465 L 6.8122,51.19068 M -0.04556,43.29608 L 0.28472,43.33663 M -13.22876,21.0 L -15.36149,13.28952 M -0.70084,42.72295 L -1.14576,42.15348 M -6.87896,21.0 L 0.0,21.0 M -5.2915,30.0 L -13.22876,30.0 M 12.42871,21.0 L 12.42871,11.76 M -3.61701,13.28952 L -2.13274,13.28952 M -0.51016,42.96701 L -0.55211,42.91332 M 3.59429,45.75802 L 5.86206,46.03647 M 0.87074,45.42361 L 1.76951,45.53397 M 6.33673,50.96029 L 6.32568,51.05034 M 0.0,8.19 L 0.0,21.0 M 5.86206,46.03647 L 6.429,46.10608 M -0.27508,43.2679 L -0.3268,43.2017 M 12.42871,11.76 L 12.42871,5.44253 M 7.58151,21.0 L 10.00511,21.0 M 5.6675,52.39011 L 6.69033,52.18322 M 0.0,21.0 L -2.20259,21.0 M -0.38731,43.12425 L -0.51016,42.96701 M 5.55833,44.99166 L 5.31459,46.97675 M 3.16253,48.09281 L 2.72015,51.69575 M 2.82067,43.64801 L 4.68765,43.87725 M 4.52533,52.62114 L 5.6675,52.39011 M -2.20259,21.0 L -3.32395,21.0 M -4.64032,21.0 L -5.95294,21.0 M 0.28472,43.33663 L 0.5246,43.36608 M 4.06071,40.77774 L 3.16253,48.09281 M -5.43218,13.28952 L -3.61701,13.28952 M 12.42871,2.4696 L 12.42871,1.11132 M 2.58023,43.61849 L 2.82067,43.64801 M -2.13274,13.28952 L 0.0,21.0 M 0.0,0.0 L 0.0,8.19 M 1.8589,43.52992 L 2.58023,43.61849 M 6.36662,50.71684 L 6.33673,50.96029 M -5.95294,21.0 L -13.22876,21.0 M -13.22876,25.86 L -13.22876,21.0 M -0.3268,43.2017 L -0.38731,43.12425 M -0.51882,45.25299 L -0.15753,45.29735 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 2 and 7\n(B) only 9\n(C) 2, 5, 4, 7 and 8\n(D) 1 and 5\n(E) none of the above\n(F) 8 and 10\n(G) 1, 2 and 5\n(H) 1, 2, 5 and 8\n(I) 1, 2, 6 and 7\n(J) 1, 5 and 6\n(K) 2 and 5\n(L) only 1\n(M) 1, 6, 9 and 10\n(N) 1, 5, 6 and 7\n(O) 1, 2, 5 and 10\n(P) 2, 5 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:191", "request": "Suppose we draw this SVG path element: M 2.23937,-3.87871 L 0.0,0.0 M 7.46458,18.80313 L 10.84208,20.75313 M -8.74513,40.86512 L -6.14901,41.91402 M 0.0,0.0 L 0.0,3.98626 M -9.06244,50.2872 L -8.71691,50.30873 M 7.46458,18.80313 L 7.46458,24.66546 M 18.72291,31.16546 L 14.78249,28.89046 M -6.5814,49.77928 L -6.6406,49.80441 M -6.34192,43.99315 L -5.67991,44.26062 M 7.46458,0.0 L 3.73229,-6.46451 M -11.53415,41.89535 L -8.36689,43.17501 M -6.50496,37.45607 L -6.93596,36.44067 M 0.0,7.52125 L 0.0,18.80313 M -5.98971,49.52812 L -6.12933,49.58738 M 2.76189,18.80313 L 4.45486,18.80313 M 18.72291,27.2377 L 18.72291,31.16546 M 7.46458,18.80313 L 7.46458,0.0 M 7.46458,22.34953 L 7.46458,22.20328 M -5.94696,45.23125 L -5.57702,45.38072 M -6.03098,44.29134 L -6.34565,45.07017 M 3.73229,-6.46451 L 2.23937,-3.87871 M -5.67991,44.26062 L -5.44457,44.3557 M -6.3477,49.68008 L -6.51465,49.75095 M -6.93596,36.44067 L -7.05753,36.15428 M 4.45486,18.80313 L 7.46458,18.80313 M -9.52047,50.25867 L -9.06244,50.2872 M 7.46458,20.63921 L 7.46458,18.80313 M -6.51465,49.75095 L -6.5814,49.77928 M -5.57702,45.38072 L -5.41847,45.44478 M -5.44457,44.3557 L -5.04386,44.5176 M 7.46458,24.66546 L 5.74773,24.66546 M -8.71691,50.30873 L -8.32113,50.33339 M -6.12933,49.58738 L -6.3477,49.68008 M 5.74773,24.66546 L -0.0,24.66546 M -7.51002,40.26403 L -13.03257,45.60409 M 0.0,18.80313 L 2.76189,18.80313 M 7.46458,24.66546 L 7.46458,22.86807 M -8.32113,50.33339 L -6.9905,50.4163 M -5.78764,43.68904 L -6.03098,44.29134 M -10.78493,40.04098 L -8.74513,40.86512 M 10.84208,20.75313 L 18.72291,25.30313 M 14.78249,28.89046 L 7.46458,24.66546 M 18.72291,25.30313 L 18.72291,27.2377 M 0.0,3.98626 L 0.0,7.52125 M -6.34565,45.07017 L -5.94696,45.23125 M -11.01382,40.60749 L -11.27192,41.24632 M -8.36689,43.17501 L -6.34192,43.99315 M 7.46458,22.86807 L 7.46458,22.34953 M -8.18135,38.93583 L -10.25102,46.72791 M -5.95238,38.75786 L -7.51002,40.26403 M -10.78493,40.04098 L -11.01382,40.60749 M -5.59644,43.21581 L -5.78764,43.68904 M 7.46458,22.20328 L 7.46458,20.63921 M -6.9905,50.4163 L -6.36432,50.45531 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) none of the above\n(B) 7, 2 and 6\n(C) 5, 7 and 10\n(D) 3, 5 and 7\n(E) 1 and 4\n(F) 3, 2 and 8\n(G) 5, 1 and 6\n(H) only 5\n(I) 7, 2 and 10\n(J) 3 and 5\n(K) 3 and 2\n(L) 3, 7, 8 and 10\n(M) 3 and 7\n(N) only 3\n(O) 6 and 10\n(P) 3, 7 and 8\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:193", "request": "Suppose we draw this SVG path element: M -25.02647,18.48143 L -24.81064,17.97295 M -30.2806,17.62683 L -31.19666,17.99694 M -10.0,-13.1244 L -10.0,-19.1244 M -29.62608,18.41396 L -28.77385,20.5233 M -29.79245,17.04143 L -29.69073,16.8018 M -33.64215,21.14205 L -34.80521,21.61196 M -10.0,-13.1244 L -11.11359,-12.27592 M -25.71507,19.01784 L -25.52592,18.94142 M -29.99132,17.50995 L -29.90779,17.31317 M -6.0,-7.87464 L -6.11136,-8.02079 M -29.68132,16.77963 L -29.6653,16.74189 L -29.43874,16.20816 M -1.9116,-2.50886 L -3.24,-4.25231 M 0.0,-4.56 L 0.0,0.0 M -26.08595,19.16768 L -25.71507,19.01784 M -33.46807,27.00366 L -34.13565,27.27338 M -3.24,-4.25231 L -6.0,-7.87464 M -28.77385,20.5233 L -28.11829,22.14587 M -34.04106,27.77444 L -33.48475,27.54967 M -34.33035,27.89132 L -34.04106,27.77444 M -15.56793,-8.88198 L -5.56793,4.24242 M -25.15876,18.79308 L -25.02647,18.48143 M -10.0,-19.1244 L -5.4,-13.08718 M -31.17065,20.1435 L -33.64215,21.14205 M -27.38774,18.61511 L -31.17065,20.1435 M -29.99132,17.50995 L -29.62608,18.41396 M -25.52592,18.94142 L -25.15876,18.79308 M 6.375,16.89737 L 6.375,20.31881 M -14.62895,-9.59742 L -15.56793,-8.88198 M -26.08595,19.16768 L -33.12881,23.09172 M -8.176,-10.73051 L -10.0,-13.1244 M -29.90779,17.31317 L -29.79245,17.04143 M -31.84569,18.25917 L -29.22344,24.74945 M 5.1,6.69345 L 6.375,8.36681 M -14.18708,-9.9341 L -14.62895,-9.59742 M -24.81064,17.97295 L -24.60619,17.49129 M 0.0,-6.0 L 0.0,-4.56 M 0.0,0.0 L -1.9116,-2.50886 M -33.20846,26.89877 L -33.46807,27.00366 M -29.69073,16.8018 L -29.68132,16.77963 M 6.375,20.31881 L 6.375,24.36681 M 0.0,16.0 L 0.0,0.0 M -6.45801,-2.70076 L 0.0,0.0 M -5.56793,4.24242 L -6.45801,-2.70076 M 0.0,0.0 L 5.1,6.69345 M -29.99132,17.50995 L -30.2806,17.62683 M -6.464,-8.48361 L -7.6,-9.97454 M 4.2942,21.63588 L 3.315,20.35074 L 0.0,16.0 M -6.11136,-8.02079 L -6.464,-8.48361 M -5.4,-13.08718 L 0.0,-6.0 M -34.41194,27.92428 L -34.33035,27.89132 M 6.375,8.36681 L 6.375,11.67881 M -11.11359,-12.27592 L -14.18708,-9.9341 M -7.6,-9.97454 L -8.176,-10.73051 M 6.375,15.56681 L 6.375,16.89737 M 6.375,11.67881 L 6.375,15.56681 M 6.375,24.36681 L 4.2942,21.63588 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 5, 8 and 9\n(B) 5, 6 and 8\n(C) 6, 2 and 10\n(D) 5, 6, 8 and 4\n(E) only 6\n(F) 5 and 6\n(G) 8 and 3\n(H) 5 and 8\n(I) only 5\n(J) 6 and 8\n(K) none of the above\n(L) 5, 8 and 10\n(M) 6, 8 and 7\n(N) only 8\n(O) 6 and 10\n(P) 6, 8 and 9\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:195", "request": "Suppose we draw this SVG path element: M 0.61274,51.04232 L 0.5825,50.54677 M 0.0,22.0 L 3.40372,10.51542 M 0.24919,65.66492 L 0.59584,65.72604 M -1.93612,62.23331 L -1.48114,62.31353 M 0.0,12.23702 L 0.0,13.05495 M -1.31669,59.29625 L -6.9924,68.44974 M -10.54836,49.94217 L -10.62887,48.62266 M -5.97155,61.27805 L -6.58802,60.39763 M -5.17641,39.46585 L -1.81174,40.46305 M 4.30851,7.46256 L 3.27447,5.67155 M -0.26046,64.82364 L -0.30929,65.10057 M -10.96433,43.12472 L -11.16528,39.83126 M -1.57108,71.16235 L 0.14154,70.90838 M -3.60627,39.9312 L -3.76325,39.88467 M 0.22934,44.75879 L 0.0,41.0 M -4.30736,64.73963 L -4.84914,67.81223 M 0.0,13.3276 L 0.0,20.00535 M -0.17837,64.35807 L -0.26046,64.82364 M -1.48114,62.31353 L -0.85283,62.42432 M 0.0,29.296 L 0.0,22.0 M 0.0,5.8696 L 0.0,10.12 M -10.73286,46.9183 L -10.96433,43.12472 M 0.14154,70.90838 L 0.71241,70.82373 M -0.38896,65.5524 L -0.24006,65.57865 M -3.4362,39.9816 L -3.60627,39.9312 M -4.67728,47.64637 L -4.52819,50.0899 M -10.62887,48.62266 L -10.73286,46.9183 M 0.64823,51.62405 L 0.61274,51.04232 M 0.0,0.0 L 0.0,4.63698 M -0.0951,63.8858 L -0.11387,63.99226 M -1.81174,40.46305 L -1.57205,40.53409 L -0.92399,40.72616 M 0.0,11.72894 L 0.0,12.23702 M 0.0,41.0 L -0.75783,40.7754 M -5.77687,61.55608 L -5.97155,61.27805 M 0.0,20.00535 L 0.0,22.0 M 0.39542,47.48067 L 0.22934,44.75879 M -1.31669,59.29625 L -2.12785,58.1378 M -0.30929,65.10057 L -0.38896,65.5524 M 3.40372,10.51542 L 4.30851,7.46256 M 0.0,31.12 L 0.0,29.296 M -0.11387,63.99226 L -0.17837,64.35807 M -4.52819,50.0899 L -1.37938,51.02313 M -2.41566,71.28759 L -1.57108,71.16235 M -3.15761,40.06417 L -3.4362,39.9816 M -0.04167,63.58278 L -0.0951,63.8858 M 0.0,4.63698 L 0.0,5.8696 M -3.45995,59.93376 L -4.30736,64.73963 M 0.0,13.05495 L 0.0,13.3276 M -0.92399,40.72616 L 0.0,41.0 M -0.03443,65.61491 L 0.24919,65.66492 M -3.76325,39.88467 L -5.17641,39.46585 M 3.27447,5.67155 L 0.0,0.0 M -4.52819,50.0899 L -9.31928,50.38223 M 0.0,22.0 L -5.17641,39.46585 M -5.77687,61.55608 L -2.8579,62.07077 L -1.93612,62.23331 M -0.24006,65.57865 L -0.03443,65.61491 M 0.11247,51.46527 L 0.64823,51.62405 M 0.0,41.0 L 0.0,31.12 M 0.0,10.12 L 0.0,11.72894 M 0.48048,69.25969 L 0.30683,70.2445 M -10.51705,50.45531 L -10.54836,49.94217 M -0.39829,51.3139 L 0.11247,51.46527 M -9.31928,50.38223 L -10.51705,50.45531 M -0.54235,51.2712 L -0.39829,51.3139 M -5.17641,39.46585 L -4.67728,47.64637 M -6.12416,63.5257 L 0.76949,64.74124 M -0.75783,40.7754 L -3.15761,40.06417 M 0.5825,50.54677 L 0.39542,47.48067 M -1.37938,51.02313 L -0.54235,51.2712 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) 4 and 5\n(B) 3 and 4\n(C) 4, 5 and 8\n(D) 3, 4 and 9\n(E) only 5\n(F) 3, 4 and 5\n(G) only 1\n(H) 3 and 7\n(I) 4, 5 and 2\n(J) 3 and 5\n(K) 3 and 10\n(L) none of the above\n(M) 5 and 1\n(N) only 3\n(O) 3, 5 and 6\n(P) 8 and 10\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:geometric_shapes:197", "request": "Suppose we draw this SVG path element: M -9.78361,46.09101 L -9.95942,46.14476 M -10.13524,46.19851 L -10.20366,46.21943 M -8.73268,39.85438 L -9.38994,41.0905 M -8.87498,9.25661 L -3.96001,19.79679 M -13.16051,41.37034 L -13.31921,41.78648 M 5.58095,5.58095 L 3.69012,3.69012 M -11.29214,36.47117 L -11.97245,38.25505 M -10.85605,35.32765 L -11.29214,36.47117 M -13.56089,36.1546 L -14.1712,37.30243 M -11.3997,39.88598 L -12.37646,42.44722 M -10.08312,45.58927 L -10.23447,45.87393 M 0.0,0.0 L 0.0,5.04 M -13.85446,35.19438 L -13.97437,34.80218 M -1.13245,25.86053 L 0.0,28.28907 M -9.50363,34.91417 L -10.20518,36.75374 M 0.0,9.04375 L 0.0,7.51094 M -13.44236,25.89522 L -5.17861,23.79403 M -13.56089,36.1546 L -9.14615,38.50196 M 3.12533,3.12533 L 0.0,0.0 M -9.51388,41.3236 L -9.5896,41.466 M -10.23447,45.87393 L -10.45982,46.29774 M 0.0,11.47581 L 0.0,9.04375 M -8.87498,9.25661 L -14.47489,10.68048 M -13.31921,41.78648 L -13.72888,42.8607 M -19.24519,11.8934 L -21.87015,12.56084 M 3.12533,6.20533 L 5.58095,5.58095 M -14.49983,37.9205 L -8.3192,41.2068 M -21.87015,12.56084 L -25.07843,13.37659 M -21.38205,27.91402 L -13.44236,25.89522 M 0.0,7.0 L -8.87498,9.25661 M -25.07843,13.37659 L -21.38205,27.91402 M -2.57374,22.76966 L -1.13245,25.86053 M -12.98007,40.8972 L -13.16051,41.37034 M -14.47489,10.68048 L -19.24519,11.8934 M -9.03416,34.03122 L -9.44764,32.67881 M -9.38994,41.0905 L -9.41721,41.14178 M -11.97245,38.25505 L -12.8383,40.52545 M 3.69012,3.69012 L 3.12533,3.12533 M -9.41721,41.14178 L -9.45491,41.21269 M -10.20518,36.75374 L -11.3997,39.88598 M 0.0,13.38672 L 0.0,11.47581 M -3.96001,19.79679 L -2.57374,22.76966 M -10.20366,46.21943 L -10.2456,46.23225 M -12.8383,40.52545 L -12.98007,40.8972 M -9.5896,41.466 L -9.67162,41.62027 M -10.2456,46.23225 L -10.45982,46.29774 M -9.95942,46.14476 L -10.13524,46.19851 M 0.0,7.51094 L 0.0,7.0 M 0.0,5.04 L 0.0,7.0 M -9.45491,41.21269 L -9.51388,41.3236 M 0.0,28.28907 L 0.0,13.38672 M -13.56089,36.1546 L -13.85446,35.19438 M -9.99035,45.4148 L -10.08312,45.58927 M 0.0,7.0 L 3.12533,6.20533 . Out of the following shapes:\n1. rectangle that is not a square and with no diagonals drawn\n2. square with no diagonals drawn\n3. triangle that is not a right triangle\n4. right triangle\n5. parallelogram that is not a rectangle and with no diagonals drawn\n6. trapezoid with exactly one pair of parallel sides and with no diagonals drawn\n7. irregular convex pentagon with no diagonals drawn\n8. irregular concave pentagon with no diagonals drawn\n9. regular pentagon with no diagonals drawn\n10. regular hexagon with no diagonals drawn\nwhich one(s) can be viewed when the lines in the SVG are visualized? Note that a shape with n sides should not necessarily be drawn by n lines; e.g., a triangle might be drawn by 4 lines, two of which collinear.\nOptions:\n(A) only 5\n(B) 2 and 7\n(C) only 8\n(D) 3 and 6\n(E) only 3\n(F) 3 and 8\n(G) 3, 5, 2 and 8\n(H) 3, 2, 4 and 6\n(I) 5, 2 and 7\n(J) 3 and 5\n(K) 5, 1, 7 and 10\n(L) 3 and 2\n(M) none of the above\n(N) only 1\n(O) 3, 2 and 4\n(P) only 6\nCoordinates have been rounded to 5 decimal places so ignore slight differences.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:000", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) prismlike obnoxious bowl (2) repulsive guitar (3) spherical terrible guitar (4) archaic cyan earring (5) pyramidal key (6) cardboard vietnamese cup (7) steel flower pot (8) circular ruler (9) terrible shirt (10) old-fashioned shoe (11) russian pen (12) brand-new dog (13) circular banana (14) triangular pencil (15) new sunglasses (16) archaic clock (17) brand-new bag (18) magenta fire extinguisher (19) new ball (20) smoking box (21) japanese speaker (22) chinese bowl (23) triangular hammer (24) old-fashioned crimson pen (25) wool japanese spoon (26) egyptian hammer (27) typing sunglasses (28) medium-size speaker (29) whittling fiberglass pink stapler (30) enormous sunglasses (31) normal-size hiking pen (32) maroon guitar (33) pyramidal nice piano (34) driving sofa (35) brand-new hammer (36) wool indonesian marker (37) enormous bird (38) triangular necklace (39) steel russian ruler (40) small smoking umbrella (41) brand-new jar (42) ridiculous box (43) indigo sofa (44) large sunglasses (45) green toolbox (46) vietnamese ring (47) circular wallet (48) hiking jar (49) old bird (50) pakistani hat (51) rubber turkish sunglasses (52) old-fashioned green toolbox (53) massive walking marker (54) circular scissors (55) large pakistani brand-new spoon (56) square repulsive banana (57) cardboard cup (58) large driving bed (59) blue plate (60) old-fashioned sofa (61) ridiculous pencil (62) old cyan cup (63) terrible trash can (64) old-fashioned calculator (65) smoking speaker (66) lovely screwdriver (67) black dog (68) triangular mysterious dog (69) congolese spoon (70) nigerian drill (71) steel watch (72) ancient magenta sofa (73) new indigo candle (74) silly hat (75) awful car key (76) normal-size table (77) good necklace (78) vietnamese stapler (79) chinese car key (80) wool umbrella (81) triangular terrible camera (82) brand-new violet bottle (83) turkish fire extinguisher (84) brand-new chair (85) large necklace (86) gray dog (87) congolese bottle (88) pyramidal shoe\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) midsize exercise paper congolese old-fashioned blue prismlike screwdriver\n(B) normal-size drinking wool iranian new indigo ridiculous circular bicycle\n(C) glass german old gray repulsive spherical lamp\n(D) mysterious prismlike cloth mexican new pink snorkeling tiny car\n(E) tiny whittling iron thai archaic magenta saw\n(F) triangular nice wool nigerian old black hammer\n(G) triangular iron egyptian archaic yellow hiking midsize box\n(H) midsize driving paper bangladeshi brand-new pink obnoxious bird\n(I) drinking wood chinese old-fashioned maroon spherical lovely scissors\n(J) obnoxious spherical paper pakistani old-fashioned pink eating chair\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:001", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) brand-new leather ruler (2) congolese violet bag (3) pink bird (4) brand-new ball (5) red book (6) red wrench (7) rectangular ball (8) pyramidal good key (9) old paper chair (10) brand-new paper piano (11) prismlike umbrella (12) ethiopian pink drill (13) blue car (14) whittling bowl (15) indonesian green speaker (16) blue bottle (17) thai brown hammer (18) drinking normal-size guitar (19) smoking enormous canvas (20) square jar (21) new wrench (22) circular terrible banana (23) ancient ball (24) nigerian fire extinguisher (25) tiny bird (26) mysterious house (27) obnoxious brush (28) driving bicycle (29) blue piano (30) rubber bottle (31) brand-new piano (32) triangular hammer (33) ridiculous knife (34) rectangular obnoxious house (35) turkish plier (36) normal-size wallet (37) circular ridiculous fork (38) pakistani maroon umbrella (39) triangular camera (40) new necklace (41) violet apple (42) new rubber spoon (43) triangular dog (44) japanese bottle (45) silly saw (46) triangular speaker (47) new ruler (48) cloth fork (49) hiking shirt (50) archaic cloth dog (51) old-fashioned jar (52) filipino crimson guitar (53) nice candle (54) old-fashioned huge triangular bottle (55) massive shoe (56) walking medium-size spoon (57) whittling tiny spoon (58) whittling enormous drill (59) violet hat (60) repulsive fire extinguisher (61) green camera (62) mysterious box (63) iron piano (64) brand-new vase (65) normal-size chair (66) crimson saw (67) old steel knife (68) massive watch (69) turkish dog (70) pyramidal speaker (71) turkish gray shirt (72) leather bed (73) repulsive house (74) ancient scissors (75) rectangular shoe (76) white marker (77) huge sunglasses (78) enormous shirt (79) old-fashioned paper ring (80) smoking candle (81) plastic walking wonderful earring (82) spherical ridiculous guitar (83) eating flower pot (84) hiking box (85) archaic cloth earring (86) walking wallet (87) ancient necklace (88) prismlike repulsive pen (89) thai indigo wallet (90) spherical calculator (91) red vase (92) congolese violet bicycle (93) paper key (94) indian key (95) yellow trash can (96) normal-size house (97) cardboard wallet (98) typing huge vase (99) midsize wallet (100) wonderful key (101) triangular spoon (102) square bag (103) pyramidal wonderful pencil (104) tiny car key (105) wonderful calculator (106) old-fashioned ball (107) exercise car key (108) prismlike bottle (109) repulsive sofa (110) square hammer (111) nigerian drill (112) old-fashioned cardboard sofa (113) medium-size wrench (114) pyramidal flower pot (115) german car (116) ancient dog\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) green ethiopian exercise tiny pyramidal awful paper cup\n(B) old-fashioned cloth snorkeling small triangular awful turkish vase\n(C) russian violet snorkeling little circular ridiculous cardboard shirt\n(D) archaic steel drinking huge pyramidal repulsive nigerian blue hammer\n(E) brand-new plastic snorkeling large spherical good candle\n(F) crimson thai eating enormous square awful piano\n(G) american pink snorkeling medium-size spherical wonderful fork\n(H) pakistani white eating midsize circular awful cloth archaic chair\n(I) cloth smoking medium-size circular silly teal vietnamese camera\n(J) japanese driving huge prismlike obnoxious fiberglass old sunglasses\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:004", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) pyramidal vase (2) ridiculous pyramidal guitar (3) pyramidal speaker (4) old lamp (5) egyptian key (6) small candle (7) whittling key (8) old-fashioned sunglasses (9) thai umbrella (10) green vase (11) awful chair (12) whittling wrench (13) walking brand-new ruler (14) steel normal-size house (15) mysterious pyramidal marker (16) ancient bird (17) leather large ruler (18) silly archaic steel ruler (19) paper enormous clock (20) repulsive circular key (21) cyan bowl (22) drinking brand-new bicycle (23) circular lamp (24) mysterious stapler (25) huge candle (26) fiberglass bed (27) thai speaker (28) red screwdriver (29) rectangular fork (30) bangladeshi key (31) whittling stapler (32) enormous calculator (33) large table (34) repulsive sofa (35) rectangular chair (36) circular ball (37) steel big fire extinguisher (38) iron bird (39) paper speaker (40) cloth enormous brush (41) hiking watch (42) rectangular candle (43) nice knife (44) cardboard house (45) wool necklace (46) triangular shoe (47) blue filipino box (48) exercise archaic pencil (49) old speaker (50) nice spherical saw (51) nice stapler (52) exercise old bicycle (53) hiking key (54) new camera (55) midsize candle (56) smoking old-fashioned stapler (57) walking ancient fork (58) wool flower pot (59) lovely hat (60) steel spoon (61) large necklace (62) leather small lamp (63) green ruler (64) brand-new knife (65) massive brush (66) iron tiny bicycle (67) square book (68) circular sunglasses (69) drinking brand-new car (70) hiking vase (71) indigo bicycle (72) normal-size hammer (73) violet turkish brush (74) typing old-fashioned wallet (75) blue chinese drill (76) typing old book (77) eating chair (78) white indian umbrella (79) awful prismlike spoon (80) rubber medium-size fork (81) whittling archaic bird (82) repulsive rectangular banana (83) smoking new wrench (84) red sofa (85) terrible spherical stapler (86) rectangular eating midsize hat (87) obnoxious pencil (88) whittling archaic calculator (89) green wallet (90) smoking old wallet (91) repulsive cup (92) obnoxious prismlike ruler (93) egyptian apple (94) paper key (95) leather huge car (96) new ball (97) huge sofa (98) eating candle (99) mysterious spherical umbrella (100) magenta bangladeshi candle (101) cloth tiny plate (102) blue german ball (103) leather guitar (104) whittling car key (105) indigo brazilian earring (106) rubber jar (107) green speaker (108) cloth banana (109) magenta pen (110) iron big stapler (111) white table (112) cardboard large bed (113) smoking watch (114) gray flower pot (115) green guitar (116) wood marker (117) terrible prismlike house (118) rectangular ruler (119) iron enormous sofa (120) cardboard marker\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) good triangular walking old steel massive white camera\n(B) silly triangular driving brand-new steel huge red brazilian calculator\n(C) spherical hiking old-fashioned glass little japanese red camera\n(D) thai crimson driving ancient wood medium-size prismlike mysterious shirt\n(E) red indonesian exercise old-fashioned plastic enormous rectangular mysterious flower pot\n(F) good square snorkeling old paper small box\n(G) pink japanese eating old fiberglass enormous stapler\n(H) smoking brand-new fiberglass enormous brown indian bicycle\n(I) indian green drinking old steel huge jar\n(J) iranian typing old cardboard small square silly saw\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:005", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) awful jar (2) cardboard shoe (3) terrible medium-size bird (4) mysterious ring (5) old indonesian earring (6) massive apple (7) square exercise drill (8) old-fashioned thai screwdriver (9) new american lamp (10) square walking table (11) massive jar (12) teal bag (13) prismlike drinking trash can (14) pink fork (15) violet rubber bicycle (16) nice pencil (17) indonesian chair (18) archaic toolbox (19) wonderful massive table (20) old-fashioned vietnamese pen (21) brand-new bottle (22) tiny brush (23) magenta iron canvas (24) old brazilian bed (25) circular watch (26) maroon wood flower pot (27) brazilian guitar (28) old-fashioned ethiopian banana (29) crimson wool stapler (30) teal sunglasses (31) prismlike snorkeling ring (32) cyan ruler (33) congolese trash can (34) prismlike hiking speaker (35) nigerian marker (36) terrible bird (37) archaic american hat (38) plastic car (39) ancient dog (40) american marker (41) maroon fiberglass banana (42) fiberglass nice russian wrench (43) yellow plier (44) leather camera (45) hiking jar (46) drinking bag (47) japanese bed (48) wonderful guitar (49) circular whittling screwdriver (50) mexican hat (51) driving fire extinguisher (52) square marker (53) indian banana (54) new bird (55) brand-new candle (56) glass book (57) prismlike dog (58) triangular drill (59) massive pen (60) small saw (61) japanese bag (62) prismlike car (63) egyptian bowl (64) triangular smoking car key (65) massive sunglasses (66) spherical candle (67) wood car key (68) eating saw (69) indigo earring (70) new chinese pencil (71) rectangular car key (72) large canvas (73) whittling earring (74) blue plastic pencil (75) pyramidal hiking toolbox (76) rectangular eating ruler (77) red brush (78) mysterious large canvas (79) exercise chair (80) old-fashioned shoe (81) nice large jar (82) maroon paper banana (83) smoking flower pot (84) little book (85) drinking brush (86) big jar (87) red iron banana (88) triangular exercise ring (89) walking car key (90) yellow wool book (91) triangular scissors (92) prismlike drinking sunglasses (93) triangular clock (94) huge bottle (95) brand-new thai scissors (96) huge shirt (97) turkish bed (98) crimson lamp (99) mexican bottle (100) wood house (101) little calculator (102) lovely pencil (103) new ball (104) wonderful normal-size hammer (105) square eating candle (106) rectangular piano (107) good little vase (108) wonderful canvas (109) spherical whittling necklace (110) circular hiking bowl (111) prismlike table (112) ridiculous big dog (113) lovely bowl (114) gray fiberglass earring (115) wonderful pen (116) indonesian dog (117) whittling shirt (118) russian bird (119) teal cardboard wallet (120) terrible pen (121) ancient plier (122) silly midsize lamp (123) wool ball (124) smoking fork (125) wool shirt (126) violet necklace (127) square canvas (128) spherical spoon (129) wonderful medium-size pencil (130) pink cloth canvas (131) ridiculous huge bicycle (132) gray tiny brand-new drill (133) indian earring (134) old-fashioned bird (135) brand-new screwdriver (136) rectangular walking scissors (137) blue rubber trash can (138) circular bag (139) good plier (140) typing bag (141) yellow flower pot (142) typing ball (143) snorkeling sunglasses (144) nigerian toolbox (145) walking scissors (146) maroon knife (147) square clock (148) exercise vase (149) iron wrench (150) circular jar (151) good tiny bottle (152) green glass stapler (153) whittling book (154) brand-new ethiopian plier (155) ancient japanese stapler (156) old japanese plate (157) mysterious brush (158) pyramidal hiking fire extinguisher (159) old turkish calculator (160) square exercise camera (161) indonesian camera (162) typing spoon (163) midsize car (164) brown table (165) pink leather ring (166) brown car (167) little vase (168) rectangular clock (169) archaic ball (170) magenta paper ball (171) archaic congolese pencil (172) triangular house (173) bangladeshi knife (174) triangular trash can (175) lovely fork (176) chinese car key (177) obnoxious big sofa (178) repulsive table\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) aqua iron wonderful little new filipino square house\n(B) triangular whittling good little ancient brazilian rubber white shoe\n(C) wood awful big old german rectangular whittling ruler\n(D) typing rectangular silly normal-size brand-new pakistani wool gray toolbox\n(E) red plastic mysterious medium-size new chinese spherical exercise sofa\n(F) whittling terrible normal-size new mexican fiberglass green ring\n(G) repulsive midsize ancient american circular smoking car\n(H) crimson plastic ridiculous little new nigerian cup\n(I) spherical walking mysterious medium-size brand-new vietnamese rubber bottle\n(J) square terrible medium-size ancient bangladeshi wool pink bottle\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:008", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) iron toolbox (2) new box (3) white umbrella (4) american car (5) aqua normal-size hammer (6) square paper piano (7) prismlike fiberglass plate (8) terrible wallet (9) rectangular bicycle (10) snorkeling bird (11) indonesian canvas (12) ancient exercise wallet (13) indian book (14) circular canvas (15) hiking saw (16) triangular rubber flower pot (17) mysterious bangladeshi apple (18) huge shoe (19) blue apple (20) brown large lamp (21) nice sofa (22) obnoxious car key (23) triangular glass jar (24) aqua medium-size car (25) pink saw (26) midsize ruler (27) mysterious chinese bowl (28) brand-new eating box (29) iranian pencil (30) cloth plier (31) exercise candle (32) old exercise bed (33) ancient knife (34) mysterious drill (35) terrible german book (36) huge car (37) brand-new exercise table (38) hiking trash can (39) old lamp (40) brand-new pencil (41) violet hammer (42) drinking drill (43) ridiculous trash can (44) glass stapler (45) wool book (46) obnoxious american sofa (47) paper spoon (48) awful thai brush (49) terrible guitar (50) lovely chinese apple (51) nice cup (52) old-fashioned exercise fire extinguisher (53) square vase (54) glass clock (55) rectangular sofa (56) big calculator (57) crimson ruler (58) new whittling fork (59) lovely german spoon (60) violet hat (61) violet lamp (62) rubber car key (63) enormous umbrella (64) red plate (65) rectangular cloth plate (66) wonderful cup (67) obnoxious umbrella (68) ridiculous pakistani pen (69) silly snorkeling rectangular apple (70) triangular plastic bag (71) driving wallet (72) triangular steel toolbox (73) square wood bicycle (74) whittling candle (75) huge bicycle (76) mexican speaker (77) silly brazilian box (78) typing hammer (79) ridiculous table (80) large toolbox (81) medium-size marker (82) ridiculous bag (83) white enormous brush (84) violet medium-size key (85) circular wood chair (86) indonesian old-fashioned iron toolbox (87) white bag (88) violet table (89) brand-new toolbox (90) yellow shoe (91) medium-size wallet (92) bangladeshi flower pot (93) driving marker (94) german toolbox (95) pyramidal trash can (96) paper canvas (97) circular cardboard car key (98) massive plier (99) rectangular cloth sofa (100) cloth jar (101) mysterious book (102) good german lamp (103) triangular iron house (104) archaic car (105) violet screwdriver (106) pyramidal fork (107) egyptian knife (108) archaic walking table (109) walking banana (110) mysterious egyptian bicycle (111) new snorkeling ball (112) rectangular house (113) archaic drinking spoon (114) wool marker (115) old smoking brush (116) driving box (117) square bicycle (118) old fire extinguisher (119) old drinking spoon (120) nice chinese vase (121) small calculator (122) pyramidal plate (123) violet ring (124) ancient bag (125) new earring (126) enormous book (127) indigo medium-size pen\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) magenta big brand-new exercise rectangular glass vietnamese mysterious shirt\n(B) old-fashioned typing pyramidal rubber pink normal-size drill\n(C) nice indian old smoking spherical glass white midsize calculator\n(D) maroon ancient hiking rectangular rubber ethiopian nice bed\n(E) american brand-new walking triangular leather indigo large scissors\n(F) ancient eating triangular plastic normal-size maroon guitar\n(G) violet big archaic snorkeling rectangular leather fire extinguisher\n(H) good german old exercise spherical rubber bed\n(I) enormous blue archaic smoking pyramidal fiberglass shoe\n(J) indonesian brand-new smoking circular steel small cyan bowl\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:010", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) indian saw (2) awful prismlike vase (3) iron banana (4) tiny ridiculous driving saw (5) bangladeshi snorkeling stapler (6) brazilian eating ring (7) ancient fire extinguisher (8) wool fire extinguisher (9) blue normal-size brush (10) smoking chair (11) crimson marker (12) driving marker (13) cloth scissors (14) aqua enormous toolbox (15) wonderful necklace (16) good guitar (17) iranian pen (18) blue jar (19) lovely lamp (20) circular bird (21) indian snorkeling bicycle (22) violet enormous cup (23) wool jar (24) indian driving wrench (25) midsize camera (26) pink rectangular russian plier (27) steel clock (28) ancient steel fork (29) maroon small box (30) brand-new wool dog (31) lovely candle (32) iranian typing vase (33) huge fork (34) mexican typing fork (35) new wool bed (36) spherical chair (37) old-fashioned iron wallet (38) brazilian shoe (39) old-fashioned iron drill (40) mexican bag (41) silly triangular key (42) archaic drill (43) violet enormous wrench (44) ancient key (45) brand-new vase (46) congolese driving book (47) silly clock (48) triangular fork (49) tiny spoon (50) ancient iron fork (51) exercise camera (52) yellow piano (53) iranian eating screwdriver (54) good car key (55) brand-new paper watch (56) wonderful rectangular umbrella (57) exercise flower pot (58) fiberglass cup (59) old-fashioned car key (60) turkish fire extinguisher (61) chinese eating ball (62) brown small bowl (63) japanese eating bicycle (64) medium-size speaker (65) filipino book (66) blue big chair (67) violet midsize ruler (68) ridiculous rectangular table (69) gray large cup (70) nigerian eating jar (71) silly book (72) indonesian screwdriver (73) white enormous candle (74) circular shirt (75) cyan big box (76) vietnamese plier (77) repulsive fork (78) violet enormous trash can (79) maroon brush (80) ethiopian shoe (81) pakistani trash can\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) old-fashioned leather obnoxious prismlike german smoking tiny sofa\n(B) ancient plastic mysterious prismlike mexican typing canvas\n(C) rubber archaic nice prismlike pakistani drinking hammer\n(D) cloth awful pyramidal american snorkeling medium-size brown ring\n(E) ancient paper silly pyramidal iranian smoking huge crimson sunglasses\n(F) crimson huge mysterious triangular turkish hiking archaic table\n(G) cardboard new good spherical russian whittling big banana\n(H) cyan little nice rectangular pakistani whittling dog\n(I) pink medium-size nice circular filipino eating ancient steel ball\n(J) brown enormous terrible square iranian smoking plastic plate\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:016", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) medium-size driving table (2) green bed (3) cardboard banana (4) iron dog (5) tiny bottle (6) hiking box (7) exercise piano (8) exercise banana (9) massive car key (10) pyramidal teal watch (11) normal-size ring (12) archaic silly cup (13) rubber cup (14) iron thai flower pot (15) ancient key (16) archaic bird (17) iron nigerian ring (18) ridiculous bottle (19) pyramidal green plate (20) gray watch (21) enormous typing saw (22) circular white lamp (23) wonderful flower pot (24) mysterious earring (25) medium-size guitar (26) silly flower pot (27) old camera (28) old-fashioned bowl (29) old-fashioned russian prismlike pen (30) archaic pencil (31) brazilian knife (32) small drinking plier (33) huge shirt (34) circular brush (35) old lovely ball (36) plastic american toolbox (37) enormous necklace (38) wonderful glass blue scissors (39) cardboard bird (40) awful marker (41) midsize fire extinguisher (42) square white umbrella (43) little fire extinguisher (44) normal-size drinking shirt (45) indigo shirt (46) triangular necklace (47) archaic house (48) wood vase (49) square red sofa (50) old banana (51) hiking dog (52) massive chair (53) rubber chinese clock (54) old trash can (55) cloth saw (56) pyramidal speaker (57) congolese scissors (58) silly shirt (59) massive driving brush (60) new ridiculous spoon (61) plastic thai watch (62) green bowl (63) typing plate (64) small car (65) exercise calculator (66) new terrible box (67) pyramidal chair (68) small ring (69) exercise lamp (70) circular crimson hat (71) silly jar (72) new trash can (73) square red bicycle (74) leather plate (75) small ruler (76) enormous driving lamp (77) glass dog\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) smoking big paper german spherical pink marker\n(B) large rubber filipino triangular red nice brand-new ruler\n(C) archaic repulsive wood russian prismlike teal enormous bicycle\n(D) cloth bangladeshi triangular brown exercise little brush\n(E) brand-new awful rubber brazilian spherical black whittling guitar\n(F) wood american circular violet big driving bowl\n(G) old repulsive leather nigerian rectangular green small walking ball\n(H) brand-new good leather egyptian circular teal wrench\n(I) driving medium-size cloth japanese spherical pink obnoxious old canvas\n(J) good cloth filipino prismlike yellow huge eating piano\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:017", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) plastic calculator (2) steel drill (3) aqua bird (4) midsize bowl (5) old lamp (6) square blue bird (7) small saw (8) ridiculous plier (9) russian car (10) hiking dog (11) cloth large plate (12) square canvas (13) iron tiny trash can (14) cloth book (15) whittling awful ruler (16) whittling shoe (17) walking repulsive chair (18) drinking repulsive umbrella (19) congolese archaic jar (20) repulsive toolbox (21) ethiopian brand-new candle (22) little bowl (23) turkish bag (24) good fork (25) big bird (26) spherical apple (27) nice rubber brand-new piano (28) ethiopian stapler (29) walking wonderful plier (30) egyptian old-fashioned car (31) wool necklace (32) whittling nice plier (33) walking nice fire extinguisher (34) enormous hammer (35) iron massive piano (36) paper small plier (37) smoking book (38) lovely candle (39) prismlike cyan stapler (40) wonderful scissors (41) indian screwdriver (42) prismlike stapler (43) exercise large congolese car (44) eating book (45) whittling repulsive speaker (46) iranian flower pot (47) indian bottle (48) snorkeling awful sunglasses (49) green trash can (50) egyptian brand-new candle (51) brand-new guitar\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) triangular magenta cloth tiny ethiopian new wonderful eating camera\n(B) pink glass large egyptian old silly hiking sofa\n(C) wool huge chinese new red spherical chair\n(D) teal rectangular wood enormous pakistani old awful smoking sofa\n(E) eating good wood enormous indonesian old vase\n(F) square glass massive mexican new repulsive driving necklace\n(G) red prismlike wood small brazilian old terrible brush\n(H) snorkeling good steel medium-size mexican brand-new circular green calculator\n(I) driving repulsive cloth normal-size nigerian old-fashioned yellow sofa\n(J) silly cardboard medium-size indonesian old rectangular maroon wrench\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:021", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) indian spoon (2) rubber nice ball (3) enormous pencil (4) blue drill (5) old-fashioned vase (6) mexican stapler (7) snorkeling indigo shirt (8) whittling ruler (9) german archaic sunglasses (10) pyramidal sofa (11) cyan bird (12) magenta calculator (13) awful necklace (14) egyptian new trash can (15) brazilian lamp (16) nigerian calculator (17) large triangular wrench (18) exercise violet plier (19) ethiopian plier (20) triangular canvas (21) rectangular bowl (22) leather car key (23) archaic clock (24) repulsive chair (25) congolese brand-new piano (26) rubber piano (27) wool repulsive plate (28) typing vase (29) hiking green vase (30) midsize pyramidal pen (31) large pink egyptian bag (32) smoking red plate (33) huge triangular ruler (34) snorkeling table (35) vietnamese stapler (36) brand-new piano (37) cloth sofa (38) big vase (39) wool wonderful ruler (40) turkish camera (41) small square shirt (42) leather silly saw (43) drinking pink chair (44) massive box (45) repulsive screwdriver (46) leather silly trash can (47) new shoe (48) old pencil (49) huge marker (50) square typing old dog (51) archaic table (52) good hammer (53) indonesian old-fashioned car key (54) huge circular pencil (55) iron nice box (56) glass plier (57) russian brand-new bird (58) pyramidal bird (59) teal car key\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) obnoxious iron snorkeling teal indian archaic plate\n(B) square hiking green brazilian old wool mysterious car key\n(C) massive square eating magenta congolese old-fashioned candle\n(D) walking red german old-fashioned wonderful steel calculator\n(E) massive pyramidal eating indigo turkish new mysterious chair\n(F) normal-size spherical eating green indian brand-new leather awful flower pot\n(G) awful hiking brown russian brand-new square little car key\n(H) big square smoking black filipino new good wool dog\n(I) leather typing brown turkish old pyramidal huge book\n(J) paper nice eating violet pakistani old circular enormous calculator\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:023", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) cardboard egyptian shirt (2) wood bird (3) new snorkeling bottle (4) pyramidal wrench (5) mexican earring (6) ridiculous scissors (7) russian brush (8) cardboard ethiopian watch (9) spherical scissors (10) archaic speaker (11) normal-size calculator (12) yellow banana (13) whittling pen (14) glass iranian screwdriver (15) cardboard plate (16) wonderful plier (17) mysterious ring (18) nigerian brush (19) turkish bicycle (20) ancient smoking pencil (21) old drinking piano (22) cardboard spoon (23) circular car (24) ancient drinking saw (25) new speaker (26) huge fire extinguisher (27) little white pen (28) good circular bird (29) big umbrella (30) drinking bag (31) brand-new calculator (32) good triangular lamp (33) drinking marker (34) red ruler (35) old calculator (36) leather ruler (37) small pink shoe (38) old-fashioned trash can (39) wonderful bottle (40) lovely pyramidal jar (41) brazilian pencil (42) steel table (43) repulsive rectangular wrench (44) rectangular wrench (45) new flower pot (46) blue box (47) fiberglass plier (48) awful rectangular banana (49) paper toolbox (50) new fire extinguisher (51) glass sunglasses (52) nice calculator (53) typing brush (54) fiberglass mexican clock (55) crimson banana (56) circular toolbox (57) prismlike piano (58) leather congolese necklace (59) old typing key (60) leather wallet (61) maroon wrench (62) repulsive spherical bird (63) small violet camera (64) yellow screwdriver (65) exercise banana (66) little stapler (67) wood vase (68) brand-new drinking piano (69) ridiculous bowl (70) old-fashioned walking necklace (71) rectangular ring (72) circular watch (73) brand-new smoking screwdriver (74) green plate (75) rubber nigerian pencil (76) triangular hammer (77) small black fire extinguisher (78) brand-new clock (79) archaic bicycle (80) nice pyramidal bed (81) good trash can (82) old snorkeling bed (83) green spoon (84) massive bowl (85) tiny calculator (86) wood umbrella (87) rectangular ruler (88) medium-size black key (89) gray candle (90) fiberglass fork (91) cyan scissors (92) brown bed (93) square pencil (94) silly pyramidal sofa (95) square car (96) huge crimson vase (97) obnoxious shirt (98) wood american bag (99) russian chair (100) plastic trash can (101) indonesian ring (102) new walking piano (103) teal umbrella (104) old-fashioned smoking lamp (105) midsize clock (106) medium-size cup (107) blue pencil (108) mysterious circular jar (109) wood iranian fire extinguisher (110) new typing drill (111) ancient whittling knife (112) small aqua ruler (113) mysterious square car (114) magenta ring (115) repulsive calculator (116) enormous table (117) brand-new fork (118) steel ethiopian sofa (119) teal bird (120) nigerian stapler (121) old walking guitar (122) fiberglass pencil (123) hiking ruler (124) cyan earring (125) massive aqua jar (126) ridiculous bottle (127) good umbrella (128) archaic snorkeling calculator (129) glass congolese fire extinguisher (130) violet camera (131) leather vietnamese pencil (132) terrible prismlike speaker (133) hiking shoe (134) mysterious box (135) mysterious circular umbrella (136) brand-new drinking dog (137) old-fashioned bottle (138) glass knife (139) awful circular cup (140) old-fashioned drinking dog (141) medium-size crimson car key (142) ancient typing pen (143) typing hat (144) wood marker (145) filipino ball (146) fiberglass hat (147) new exercise bottle (148) cloth ethiopian wallet (149) old saw (150) old hiking knife (151) brand-new lamp (152) fiberglass stapler (153) triangular key (154) japanese necklace (155) old-fashioned driving apple (156) awful spherical jar (157) old-fashioned whittling shoe (158) silly apple (159) obnoxious prismlike key (160) exercise wallet (161) ancient vase (162) huge bird (163) medium-size apple (164) cloth knife (165) large toolbox (166) eating fork (167) silly aqua new vase (168) smoking cup (169) repulsive spherical apple (170) iron cup (171) paper calculator (172) egyptian wallet (173) rectangular jar (174) glass bed (175) eating scissors (176) brand-new flower pot (177) square large walking wrench (178) eating plate (179) crimson car (180) awful prismlike spoon (181) enormous plier (182) teal guitar (183) brand-new typing knife (184) brown vase (185) prismlike bed (186) prismlike brush (187) medium-size magenta bird (188) black dog (189) rectangular box (190) chinese ball (191) terrible lamp (192) spherical jar (193) american lamp (194) iron german calculator (195) normal-size red pencil (196) snorkeling bicycle (197) egyptian hammer (198) indonesian plier (199) little spoon (200) fiberglass fire extinguisher (201) turkish plate (202) plastic hammer (203) brand-new candle (204) walking canvas (205) silly book (206) tiny brown car key (207) ancient typing toolbox (208) plastic ethiopian camera (209) drinking book (210) small spoon (211) little bag (212) fiberglass russian shoe (213) hiking cup (214) repulsive circular scissors (215) wool chinese guitar (216) midsize fire extinguisher (217) rectangular knife (218) silly calculator (219) archaic drinking box (220) midsize spoon (221) medium-size bicycle (222) repulsive rectangular apple (223) large hammer\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) plastic little teal ancient snorkeling circular terrible pencil\n(B) good square large black archaic drinking box\n(C) ridiculous circular huge magenta ancient exercise brazilian wool sunglasses\n(D) circular tiny red old-fashioned walking wood mexican plate\n(E) medium-size violet archaic whittling paper turkish knife\n(F) thai steel medium-size cyan archaic driving chair\n(G) turkish big white old drinking prismlike nice banana\n(H) midsize yellow new eating turkish wool knife\n(I) plastic ethiopian big black archaic snorkeling box\n(J) nigerian leather small pink ancient typing spherical ridiculous saw\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:024", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) circular wrench (2) normal-size banana (3) congolese little fire extinguisher (4) american enormous sofa (5) maroon saw (6) american bottle (7) brazilian little speaker (8) mexican ring (9) crimson good car (10) old-fashioned pencil (11) large hammer (12) nice hat (13) circular leather pencil (14) egyptian medium-size scissors (15) cyan chair (16) ancient hiking house (17) turkish clock (18) yellow sofa (19) violet watch (20) yellow stapler (21) brazilian large knife (22) repulsive stapler (23) blue table (24) triangular paper drill (25) congolese paper brand-new chair (26) new hiking pen (27) bangladeshi speaker (28) pyramidal glass scissors (29) nigerian medium-size piano (30) hiking toolbox (31) square steel bird (32) spherical rubber bowl (33) midsize ruler (34) teal terrible chair (35) old hammer (36) pyramidal jar (37) massive jar (38) old-fashioned calculator (39) mexican huge saw (40) pyramidal wool knife (41) old drinking canvas (42) aqua nice speaker (43) paper watch (44) rectangular drill (45) pyramidal apple (46) little bag (47) ancient drill (48) square knife (49) large pyramidal smoking flower pot (50) brand-new flower pot (51) new whittling calculator (52) cardboard bicycle (53) brown silly bag (54) circular bottle (55) ethiopian marker (56) fiberglass trash can (57) congolese shoe (58) aqua terrible trash can (59) iranian large pencil (60) maroon repulsive bed (61) typing canvas (62) rectangular spoon (63) glass umbrella (64) driving bicycle (65) small apple (66) blue ridiculous toolbox (67) medium-size table (68) rectangular cup (69) old wrench (70) japanese large apple (71) awful wrench (72) steel table (73) pink nice sunglasses (74) leather key (75) tiny brush (76) mysterious brush (77) typing stapler (78) little scissors (79) mexican sunglasses (80) red speaker (81) square iron guitar (82) turkish midsize lamp (83) indian enormous bag (84) ancient whittling hammer (85) magenta obnoxious earring (86) chinese midsize bird (87) smoking dog (88) whittling ruler (89) indonesian medium-size trash can (90) ancient guitar (91) cardboard brush (92) cyan wonderful sofa (93) rectangular paper fork (94) crimson silly plier (95) indonesian dog (96) triangular scissors (97) new wrench (98) old drinking necklace (99) green watch (100) white fork (101) brand-new drinking lamp (102) pyramidal wool candle (103) midsize plate (104) german normal-size table (105) white bowl (106) old-fashioned drinking apple (107) huge saw\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) rectangular cardboard archaic driving good red wrench\n(B) white awful rectangular cloth brand-new typing massive german fire extinguisher\n(C) large circular iron ancient snorkeling maroon lovely ruler\n(D) triangular paper new walking black wonderful cup\n(E) nigerian massive spherical cardboard old-fashioned walking obnoxious pink fork\n(F) mexican big prismlike rubber old exercise aqua silly fork\n(G) japanese tiny spherical cloth ancient hiking piano\n(H) blue nice square glass old-fashioned walking medium-size calculator\n(I) terrible brown circular fiberglass old-fashioned driving huge russian car key\n(J) big triangular cloth ancient whittling awful gray canvas\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:026", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) old-fashioned box (2) brown apple (3) fiberglass old brush (4) silly ruler (5) magenta bird (6) lovely bicycle (7) smoking stapler (8) smoking brown banana (9) little canvas (10) paper ring (11) nigerian ridiculous jar (12) spherical camera (13) cyan trash can (14) large bottle (15) big saw (16) fiberglass pencil (17) big square trash can (18) driving ball (19) thai ridiculous scissors (20) whittling hammer (21) silly necklace (22) smoking black book (23) large spherical clock (24) pakistani violet midsize clock (25) wood old table (26) exercise maroon plate (27) mexican cup (28) pakistani ridiculous jar (29) exercise plier (30) whittling drill (31) little piano (32) paper archaic calculator (33) wonderful clock (34) pakistani good canvas (35) rubber old knife (36) mysterious umbrella (37) midsize pyramidal watch (38) american book (39) old-fashioned banana (40) eating knife (41) cardboard ruler (42) snorkeling brown book (43) plastic old stapler (44) new clock (45) rubber chair (46) massive circular ball (47) old-fashioned ball (48) thai vase (49) cloth watch (50) pink ring (51) indian mysterious dog (52) smoking lamp (53) huge stapler (54) normal-size pencil (55) ethiopian ridiculous brush (56) obnoxious snorkeling rectangular scissors (57) vietnamese good lamp (58) smoking watch (59) old screwdriver (60) bangladeshi house (61) old-fashioned plier (62) archaic chair (63) triangular plier (64) iron shoe (65) square hat (66) green shoe\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) indian good snorkeling green enormous spherical archaic bed\n(B) rubber ancient exercise violet small square awful plier\n(C) congolese silly smoking pink large circular old leather clock\n(D) indonesian nice exercise indigo enormous triangular leather saw\n(E) glass snorkeling brown medium-size spherical wonderful russian cup\n(F) ancient hiking teal huge circular silly vietnamese plate\n(G) cloth brand-new exercise blue little triangular plate\n(H) ethiopian silly drinking maroon massive circular ring\n(I) archaic paper exercise indigo tiny pyramidal terrible banana\n(J) brand-new wood hiking teal midsize pyramidal dog\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:027", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) triangular marker (2) nice pyramidal bicycle (3) bangladeshi piano (4) pink fire extinguisher (5) archaic watch (6) white archaic piano (7) exercise stapler (8) german bicycle (9) ridiculous cup (10) obnoxious jar (11) triangular necklace (12) nigerian walking umbrella (13) mexican plier (14) eating scissors (15) filipino driving hat (16) iron small sunglasses (17) normal-size table (18) congolese walking candle (19) wool camera (20) prismlike jar (21) pakistani drinking house (22) wool ball (23) leather car (24) wonderful shirt (25) plastic ruler (26) huge bird (27) eating guitar (28) egyptian drinking pencil (29) silly triangular fire extinguisher (30) ridiculous speaker (31) spherical knife (32) fiberglass sunglasses (33) mysterious spherical plier (34) terrible square pencil (35) violet brand-new spoon (36) green old canvas (37) mysterious bed (38) new ball (39) exercise fork (40) exercise hammer (41) prismlike bird (42) eating obnoxious normal-size car (43) pyramidal knife (44) leather little wallet (45) cardboard little pencil (46) wonderful rectangular fire extinguisher (47) repulsive spherical bag (48) circular vase (49) ethiopian shirt (50) cardboard small hat (51) iron small bag (52) cardboard tiny car key (53) terrible rectangular trash can (54) nigerian canvas (55) massive piano (56) ethiopian necklace (57) fiberglass huge bag (58) pink new ring (59) black umbrella (60) pyramidal trash can (61) rectangular pen (62) typing car (63) wood chair (64) massive spoon (65) mexican vase (66) hiking dog (67) enormous bag (68) pyramidal table (69) walking hammer (70) filipino sunglasses (71) pink screwdriver (72) mexican marker (73) glass small camera (74) glass flower pot (75) yellow shoe (76) large jar (77) magenta sunglasses (78) obnoxious rectangular bicycle (79) brazilian lamp (80) ridiculous spherical fire extinguisher (81) driving drill (82) circular bed (83) massive shoe (84) silly spherical key (85) plastic tiny earring (86) cloth midsize marker (87) whittling stapler (88) old plate (89) cardboard massive cup (90) enormous car (91) ridiculous bottle (92) glass pen (93) small clock (94) obnoxious vase (95) good circular wrench (96) magenta wrench (97) nice hammer (98) paper calculator (99) rubber medium-size bird (100) nice bottle (101) normal-size dog (102) hiking candle (103) walking toolbox (104) new wallet (105) ancient box (106) wonderful banana (107) ethiopian bag (108) new knife (109) wonderful lamp (110) nice triangular hat (111) red dog (112) rectangular candle (113) brand-new car key (114) walking stapler (115) driving pen (116) leather medium-size wallet (117) magenta saw (118) nice triangular house (119) violet canvas (120) walking pen (121) indonesian necklace (122) plastic vase (123) egyptian whittling necklace (124) little key (125) smoking watch (126) magenta archaic pencil (127) walking brush (128) square sunglasses (129) white ancient wrench (130) normal-size book (131) teal brand-new table (132) snorkeling ruler (133) hiking chair (134) terrible necklace (135) enormous bottle (136) repulsive square ruler (137) archaic speaker (138) enormous drill (139) indian exercise car key (140) iron lamp (141) old screwdriver (142) awful sofa (143) fiberglass lamp (144) nice prismlike bag (145) american necklace (146) iranian hiking guitar (147) indian driving shoe (148) hiking ring (149) pakistani walking knife (150) nice spherical camera (151) rectangular bowl (152) leather midsize necklace (153) eating plate (154) aqua vase (155) lovely spherical bird (156) iron little dog (157) indonesian book (158) midsize dog (159) prismlike chair (160) pyramidal hammer (161) crimson old-fashioned chair (162) iron hammer (163) japanese driving piano (164) white ball (165) exercise piano (166) repulsive pyramidal bag (167) plastic wrench (168) enormous brush (169) drinking trash can (170) indigo ball (171) rubber big guitar (172) wool key (173) wood large hammer (174) filipino lamp (175) spherical screwdriver (176) wool car (177) old-fashioned ruler (178) iron small bed (179) congolese shoe (180) gray ancient box (181) aqua archaic lamp (182) enormous bird (183) huge wrench (184) silly wrench (185) iranian piano (186) indigo plier (187) prismlike sunglasses (188) massive earring (189) filipino smoking ball (190) fiberglass midsize necklace (191) green new drill (192) aqua guitar (193) aqua screwdriver (194) hiking saw (195) new book (196) good prismlike book (197) magenta old pen (198) thai key (199) vietnamese car key (200) huge vase (201) nice pyramidal sofa (202) congolese drinking ruler (203) nice rectangular shirt (204) russian eating wrench (205) rectangular toolbox (206) nice prismlike earring (207) tiny ruler (208) repulsive rectangular car key (209) egyptian typing marker (210) thai brush (211) egyptian pyramidal rubber knife (212) brown vase (213) brown new cup (214) tiny scissors (215) fiberglass marker (216) congolese exercise camera (217) new drill (218) massive bed\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) green archaic ridiculous rectangular cloth midsize smoking thai pen\n(B) teal old-fashioned ridiculous pyramidal iron midsize guitar\n(C) vietnamese walking repulsive circular iron large old-fashioned key\n(D) new red terrible pyramidal fiberglass large smoking dog\n(E) indian whittling terrible spherical fiberglass huge jar\n(F) mysterious pyramidal fiberglass enormous gray old fork\n(G) nigerian snorkeling terrible square wool small white new spoon\n(H) aqua old wonderful spherical rubber little eating bed\n(I) old-fashioned pink obnoxious square cloth big smoking filipino watch\n(J) german walking repulsive pyramidal wood medium-size new yellow shoe\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:028", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) normal-size fire extinguisher (2) normal-size german bowl (3) eating vase (4) indigo obnoxious piano (5) eating square shirt (6) rubber archaic flower pot (7) iron bag (8) iron bird (9) old-fashioned ruler (10) paper earring (11) yellow bed (12) awful sunglasses (13) drinking square stapler (14) aqua spoon (15) teal good key (16) terrible bird (17) tiny bangladeshi ring (18) fiberglass ancient sunglasses (19) midsize jar (20) cyan shirt (21) wood brand-new stapler (22) repulsive spoon (23) large chinese key (24) enormous nigerian pencil (25) ethiopian bowl (26) maroon car (27) paper flower pot (28) typing triangular sofa (29) leather scissors (30) normal-size marker (31) hiking pyramidal guitar (32) steel stapler (33) archaic hat (34) black silly apple (35) iron car (36) paper bowl (37) old-fashioned watch (38) paper new fire extinguisher (39) typing rectangular watch (40) ancient ring (41) leather old brush (42) typing screwdriver (43) old ruler (44) plastic old-fashioned guitar (45) blue good shirt (46) wool old piano (47) brazilian pen (48) green bag (49) large thai wallet (50) cardboard archaic ring (51) ridiculous candle (52) wood bed (53) rubber silly drinking ball (54) brand-new toolbox (55) indian banana (56) pakistani camera (57) awful brush (58) archaic wrench (59) brazilian clock (60) ancient brown prismlike fire extinguisher (61) old speaker (62) indonesian hammer (63) blue plier (64) new scissors (65) ancient fire extinguisher (66) medium-size japanese scissors (67) whittling shirt (68) pyramidal drill (69) pakistani banana (70) yellow ruler (71) pink piano (72) snorkeling canvas (73) terrible lamp (74) brown bicycle (75) repulsive marker (76) circular house (77) small brush (78) ancient saw (79) fiberglass ancient scissors (80) whittling stapler (81) walking canvas (82) square jar (83) little plate (84) magenta banana (85) filipino clock (86) rubber necklace (87) archaic shirt (88) driving prismlike trash can (89) gray ridiculous calculator (90) spherical shirt (91) huge toolbox (92) cloth shoe (93) archaic sunglasses (94) good watch (95) filipino shirt\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) red good driving pyramidal indian tiny ruler\n(B) old pink wonderful eating spherical large bangladeshi trash can\n(C) mexican tiny crimson lovely drinking triangular ancient cloth scissors\n(D) thai enormous teal mysterious walking square old-fashioned bicycle\n(E) wool new teal silly eating pyramidal tiny house\n(F) little turkish yellow terrible whittling spherical pencil\n(G) cloth old-fashioned red awful driving square chair\n(H) cardboard brand-new aqua awful drinking pyramidal large chinese apple\n(I) gray obnoxious smoking spherical tiny turkish plate\n(J) glass new black awful drinking pyramidal ethiopian ball\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:030", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) steel sofa (2) lovely bottle (3) steel repulsive brush (4) red umbrella (5) driving bangladeshi table (6) ridiculous knife (7) square cup (8) indian paper little fire extinguisher (9) japanese vase (10) hiking mexican watch (11) gray fire extinguisher (12) rubber umbrella (13) small ball (14) russian apple (15) plastic ridiculous toolbox (16) indian toolbox (17) nice bowl (18) ancient clock (19) midsize fork (20) mysterious jar (21) turkish speaker (22) hiking russian bottle (23) lovely stapler (24) smoking thai table (25) brand-new wallet (26) ancient massive bag (27) medium-size banana (28) new normal-size umbrella (29) aqua car (30) old-fashioned bottle (31) wood fork (32) little guitar (33) wool dog (34) lovely saw (35) normal-size table (36) square pink bottle (37) wonderful key (38) wood good clock (39) pakistani speaker (40) old little necklace (41) teal sofa (42) iron wrench (43) smoking vietnamese key (44) old medium-size ring (45) exercise thai canvas (46) old-fashioned medium-size calculator (47) circular maroon house (48) eating mexican pencil (49) exercise indian bowl (50) steel canvas (51) egyptian toolbox (52) normal-size jar (53) black sofa (54) cardboard shoe (55) cloth lovely chair (56) ridiculous plier (57) new hammer (58) old-fashioned wrench (59) prismlike gray candle (60) vietnamese flower pot (61) typing shirt (62) ridiculous table (63) paper lovely brush (64) old little saw (65) rubber trash can (66) typing indonesian vase (67) hiking thai banana (68) whittling saw (69) bangladeshi necklace (70) plastic dog (71) ancient little car (72) driving canvas (73) turkish plate (74) wood brush (75) archaic lamp (76) massive ball (77) plastic umbrella (78) iron obnoxious table (79) walking pen (80) iron wonderful banana (81) midsize bed (82) archaic enormous piano (83) egyptian dog (84) fiberglass obnoxious toolbox (85) old small sunglasses (86) teal flower pot (87) prismlike pencil (88) spherical dog (89) ancient wrench (90) whittling marker (91) nigerian sunglasses (92) wood silly chair (93) square speaker (94) silly shirt (95) nice apple (96) pink sunglasses (97) triangular green calculator (98) old-fashioned vase (99) good ruler (100) wood obnoxious ball (101) good dog (102) cardboard obnoxious pen (103) square marker (104) ancient massive apple (105) spherical indigo brush (106) rubber good plier (107) prismlike necklace (108) nigerian wallet (109) paper ridiculous brush (110) cyan saw (111) old-fashioned massive spoon (112) indonesian house (113) plastic mysterious vase (114) circular cyan plate (115) whittling indian necklace (116) awful table (117) driving piano (118) new sunglasses (119) nice brush (120) pakistani camera (121) old plier (122) iron repulsive earring (123) cardboard awful screwdriver (124) old-fashioned banana (125) square teal pen (126) iron bird (127) big chair (128) brown table (129) old-fashioned saw (130) old trash can (131) filipino fork (132) rectangular aqua piano (133) pyramidal piano (134) red canvas (135) square gray car (136) eating marker (137) red watch (138) pyramidal watch (139) drinking chinese bed (140) glass clock (141) cardboard awful bowl (142) wool plate (143) wool bottle (144) old-fashioned small piano (145) exercise american table (146) repulsive jar (147) large guitar (148) pyramidal hammer (149) mysterious stapler (150) congolese pen (151) spherical table (152) indian pen (153) brand-new big shoe (154) snorkeling key (155) rubber bowl (156) cloth terrible pen (157) indonesian bottle (158) wood earring (159) prismlike wrench (160) cloth awful fork (161) gray ruler (162) blue vase (163) circular blue stapler (164) old-fashioned hat (165) brand-new spoon (166) typing car key (167) large flower pot (168) enormous piano (169) driving mysterious ancient spoon (170) midsize umbrella (171) wood mysterious box (172) german wrench (173) cloth fire extinguisher (174) small spoon (175) egyptian hat (176) cloth nice house (177) plastic ruler (178) little shoe (179) large table (180) nice bag (181) ancient necklace (182) plastic trash can (183) silly trash can (184) whittling japanese stapler (185) circular black sofa (186) filipino earring\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) magenta leather lovely old-fashioned small mexican drinking earring\n(B) eating american glass good brand-new normal-size bicycle\n(C) typing pakistani fiberglass good brand-new medium-size triangular yellow bowl\n(D) whittling thai cardboard terrible old-fashioned midsize magenta hat\n(E) russian glass terrible old-fashioned tiny yellow triangular camera\n(F) prismlike pink iron lovely old midsize german walking spoon\n(G) circular white leather silly old-fashioned small knife\n(H) leather repulsive archaic enormous rectangular indigo drill\n(I) fiberglass ridiculous archaic normal-size red rectangular box\n(J) white triangular iron awful old normal-size ruler\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:032", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) lovely canvas (2) huge box (3) silly calculator (4) paper ancient bag (5) russian marker (6) new bottle (7) thai table (8) rectangular necklace (9) old-fashioned jar (10) vietnamese marker (11) bangladeshi spherical spoon (12) spherical necklace (13) fiberglass house (14) brazilian stapler (15) new cup (16) glass archaic screwdriver (17) maroon good bottle (18) mexican prismlike ball (19) medium-size hiking plate (20) egyptian prismlike watch (21) driving speaker (22) circular ruler (23) chinese sofa (24) awful bed (25) old bed (26) huge hammer (27) vietnamese prismlike shirt (28) american hammer (29) square bicycle (30) wool ancient shoe (31) pink car key (32) american spherical bag (33) brazilian triangular trash can (34) pyramidal brush (35) glass ancient bottle (36) mexican spherical clock (37) square spoon (38) good scissors (39) cloth earring (40) triangular large new house (41) pakistani rectangular screwdriver (42) japanese dog (43) prismlike watch (44) russian circular banana (45) blue umbrella (46) normal-size marker (47) leather ancient knife (48) new earring (49) blue wonderful clock (50) thai pyramidal stapler (51) wood archaic piano (52) rubber trash can (53) brand-new hat (54) ancient clock (55) triangular guitar (56) iranian box (57) large pen (58) normal-size walking shirt (59) nigerian square fork (60) iranian triangular bed (61) cyan hat (62) wonderful shirt (63) drinking sunglasses (64) glass necklace (65) russian fire extinguisher (66) cyan wallet (67) nigerian spoon (68) old-fashioned pencil (69) cyan shirt (70) black silly trash can (71) magenta terrible apple (72) chinese rectangular jar (73) magenta lamp (74) new table (75) new jar (76) old-fashioned key (77) archaic ball (78) large speaker (79) brown stapler (80) walking shirt (81) medium-size speaker (82) prismlike wallet (83) glass brand-new bed (84) terrible dog (85) ridiculous drill (86) tiny lamp (87) white mysterious fire extinguisher (88) iranian necklace (89) leather archaic clock (90) iranian chair (91) rubber wallet (92) square marker (93) glass old box (94) white brush (95) walking chair (96) circular chair (97) maroon vase (98) iranian triangular hammer (99) nice candle (100) massive sofa (101) white repulsive calculator (102) paper sofa (103) terrible ball (104) terrible bag (105) drinking spoon (106) archaic plate (107) pyramidal toolbox (108) blue awful clock (109) wonderful scissors (110) vietnamese square wrench (111) midsize guitar (112) silly necklace (113) leather box (114) filipino spherical spoon (115) new ball (116) spherical ring (117) exercise sunglasses (118) driving earring (119) smoking drill (120) indian pyramidal bottle (121) triangular flower pot (122) turkish speaker (123) fiberglass pen (124) leather old-fashioned wallet (125) midsize driving speaker (126) leather archaic spoon (127) paper archaic sunglasses (128) american triangular shirt (129) brand-new camera (130) awful jar (131) vietnamese calculator (132) tiny bicycle (133) gray silly bottle (134) gray clock (135) teal ball (136) typing pencil (137) iron necklace (138) eating table (139) rectangular piano (140) large typing earring (141) leather flower pot (142) circular camera (143) old-fashioned shirt (144) wood ancient ball (145) american key (146) crimson bicycle (147) german prismlike spoon (148) pyramidal stapler (149) ancient wrench (150) crimson lovely ball (151) cloth archaic stapler (152) egyptian necklace (153) ethiopian pyramidal canvas (154) massive bottle (155) violet good bag (156) brand-new speaker (157) cloth old candle (158) spherical book (159) wonderful ring (160) bangladeshi earring (161) german screwdriver (162) walking bottle (163) crimson nice guitar (164) crimson lovely speaker (165) paper chair (166) enormous earring (167) eating banana (168) german rectangular bird (169) typing cup (170) tiny dog (171) black repulsive apple (172) green candle (173) driving bowl (174) normal-size spoon (175) iranian eating glass screwdriver (176) american spherical hammer (177) triangular drill (178) wonderful bottle (179) good bag (180) cyan guitar (181) circular sofa (182) turkish triangular earring (183) lovely ruler (184) tiny snorkeling book (185) huge book (186) turkish rectangular wrench (187) nigerian earring (188) midsize ruler (189) indian plier (190) old bowl (191) violet nice sunglasses (192) awful necklace (193) wood bag (194) walking knife (195) terrible sunglasses (196) cloth old trash can (197) paper old fire extinguisher (198) medium-size snorkeling shirt (199) tiny typing spoon (200) good calculator (201) archaic wrench (202) cardboard camera (203) walking brush (204) rubber lamp\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) massive hiking wool old-fashioned green silly marker\n(B) repulsive midsize typing plastic brand-new pyramidal ethiopian sofa\n(C) ethiopian rectangular medium-size driving glass ancient repulsive wallet\n(D) turkish circular massive whittling cardboard old yellow lovely fork\n(E) japanese prismlike small eating paper old-fashioned indigo table\n(F) massive typing paper old-fashioned ridiculous gray bottle\n(G) pyramidal medium-size drinking steel new pink ridiculous fire extinguisher\n(H) violet lovely enormous hiking leather new triangular wallet\n(I) terrible brown normal-size typing glass old triangular japanese necklace\n(J) bangladeshi prismlike huge drinking wood ancient umbrella\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:033", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) repulsive flower pot (2) square box (3) congolese car (4) awful wrench (5) vietnamese saw (6) pakistani book (7) massive bag (8) repulsive pen (9) brand-new normal-size hammer (10) ancient large car (11) pakistani prismlike screwdriver (12) japanese spherical shoe (13) iron car key (14) enormous trash can (15) old-fashioned table (16) mexican necklace (17) blue bed (18) walking nice flower pot (19) pakistani car key (20) cloth sunglasses (21) bangladeshi bird (22) archaic jar (23) massive necklace (24) thai square wallet (25) hiking ridiculous wrench (26) walking nice hammer (27) wool aqua guitar (28) rubber car key (29) terrible umbrella (30) walking nice guitar (31) german spherical car key (32) thai car key (33) ancient umbrella (34) pyramidal scissors (35) snorkeling fire extinguisher (36) brand-new knife (37) cloth blue jar (38) leather marker (39) leather red clock (40) exercise lovely stapler (41) exercise bottle (42) old huge screwdriver (43) eating pencil (44) new medium-size vase (45) steel black fire extinguisher (46) driving awful cup (47) fiberglass apple (48) pyramidal guitar (49) paper crimson pen (50) magenta apple (51) spherical sunglasses (52) walking lovely scissors (53) old large hammer (54) circular pen (55) midsize clock (56) paper cyan dog (57) eating good drill (58) drinking stapler (59) eating chair (60) rectangular bird (61) brand-new drill (62) pyramidal stapler (63) maroon trash can (64) teal ring (65) wood hat (66) iranian circular plate (67) old-fashioned enormous scissors (68) silly vase (69) snorkeling book (70) new massive wrench (71) vietnamese spherical dog (72) mysterious bird (73) exercise bowl (74) obnoxious table (75) paper bottle (76) ridiculous necklace (77) hiking repulsive calculator (78) pakistani prismlike toolbox (79) congolese spherical chair (80) smoking vase (81) indigo sofa (82) smoking wonderful watch (83) massive clock (84) driving house (85) bangladeshi clock (86) violet scissors (87) congolese dog (88) small bag (89) iron brown bowl (90) nice key (91) eating ridiculous fire extinguisher (92) archaic wallet (93) green dog (94) tiny ruler (95) congolese sunglasses (96) bangladeshi prismlike shoe (97) cardboard car (98) cardboard ball (99) driving good bicycle (100) eating marker (101) indigo piano (102) ancient little screwdriver (103) old-fashioned huge brush (104) vietnamese lamp (105) russian flower pot (106) brand-new big knife (107) huge guitar (108) little guitar (109) obnoxious plate (110) pyramidal bottle (111) rectangular piano (112) glass teal car (113) driving earring (114) new normal-size shirt (115) plastic apple (116) snorkeling cup (117) old-fashioned drill (118) little sofa (119) midsize car (120) wood indigo bird (121) drinking wallet (122) cyan wallet (123) leather screwdriver (124) old-fashioned calculator (125) lovely shoe (126) cardboard brown hammer (127) egyptian square ruler (128) vietnamese spherical shoe (129) ancient fire extinguisher (130) vietnamese triangular car key (131) brand-new table (132) cyan jar (133) pakistani square bowl (134) ridiculous knife (135) paper aqua bowl (136) fiberglass piano (137) mexican candle (138) filipino book (139) plastic clock (140) plastic toolbox (141) rubber maroon stapler (142) pyramidal chair (143) brand-new tiny knife (144) hiking terrible fire extinguisher (145) egyptian prismlike screwdriver (146) exercise obnoxious camera (147) indian plier (148) brown fork (149) brand-new medium-size bowl (150) leather cyan knife (151) nice bangladeshi violet calculator (152) leather red guitar (153) wool pink earring (154) walking lovely ring (155) wool pink sofa (156) exercise screwdriver (157) medium-size saw (158) normal-size pencil (159) nigerian fire extinguisher (160) circular lamp (161) exercise lovely spoon (162) steel car key (163) archaic book (164) crimson toolbox (165) prismlike box (166) midsize lamp (167) vietnamese triangular sunglasses (168) typing square paper drill (169) obnoxious ball (170) american triangular apple (171) old plier (172) indian toolbox (173) spherical jar (174) big apple (175) snorkeling nice shoe (176) whittling fork (177) driving knife (178) silly jar (179) old-fashioned little plate (180) german dog (181) wool crimson bottle (182) ancient large jar (183) glass cup (184) smoking jar (185) rubber magenta marker (186) cardboard stapler (187) hiking nice wallet (188) prismlike wallet (189) massive drill (190) eating terrible screwdriver (191) good vase (192) old-fashioned earring\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) huge old-fashioned bangladeshi pyramidal iron magenta scissors\n(B) drinking awful turkish spherical cardboard maroon pencil\n(C) ethiopian spherical cloth aqua midsize new guitar\n(D) walking awful indonesian circular rubber red tiny brand-new fork\n(E) ridiculous bangladeshi circular wood brown old big fork\n(F) midsize nigerian spherical glass magenta mysterious exercise cup\n(G) little ancient turkish circular plastic indigo awful eating scissors\n(H) new little egyptian prismlike glass brown hat\n(I) mexican pyramidal wool violet old-fashioned big banana\n(J) eating obnoxious congolese rectangular paper teal ancient ball\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:034", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) repulsive shirt (2) terrible yellow hammer (3) ethiopian ancient hammer (4) pyramidal drill (5) whittling scissors (6) mysterious white piano (7) indian drill (8) rectangular plastic toolbox (9) huge drinking plate (10) repulsive maroon lamp (11) repulsive aqua guitar (12) triangular cardboard bird (13) pakistani jar (14) massive exercise table (15) indonesian ancient drill (16) triangular trash can (17) rectangular piano (18) huge hiking plate (19) old-fashioned candle (20) ethiopian hat (21) archaic screwdriver (22) ethiopian brand-new apple (23) pyramidal glass car key (24) obnoxious magenta ball (25) ancient ruler (26) new sunglasses (27) prismlike fiberglass fire extinguisher (28) white ring (29) drinking bicycle (30) turkish brand-new trash can (31) tiny exercise bottle (32) prismlike plier (33) rectangular glass necklace (34) terrible indigo scissors (35) pyramidal leather piano (36) smoking marker (37) ridiculous bag (38) archaic flower pot (39) huge trash can (40) enormous screwdriver (41) rectangular cardboard bottle (42) cardboard umbrella (43) turkish new scissors (44) good spoon (45) whittling guitar (46) tiny hiking knife (47) archaic fire extinguisher (48) little drinking spoon (49) drinking sunglasses (50) indigo house (51) old-fashioned bag (52) bangladeshi old-fashioned car key (53) pyramidal dog (54) pyramidal pencil (55) archaic huge teal calculator (56) magenta hammer (57) thai ancient toolbox (58) rectangular steel wrench (59) pyramidal calculator (60) huge drinking flower pot (61) old-fashioned pen (62) small drinking drill (63) eating hat (64) typing table (65) obnoxious knife (66) american sunglasses (67) old-fashioned plate (68) thai ball (69) egyptian ruler (70) japanese chair (71) mexican candle (72) tiny bowl (73) terrible indigo banana (74) indonesian archaic brush (75) obnoxious teal earring (76) massive bowl (77) smoking book (78) crimson canvas (79) silly green car (80) typing screwdriver (81) normal-size hiking trash can (82) driving necklace (83) mysterious bird (84) massive whittling table (85) old-fashioned ball (86) magenta hat (87) circular car (88) bangladeshi new shoe (89) huge house (90) obnoxious ruler (91) good sofa (92) american brand-new banana (93) cyan dog (94) lovely fork (95) old marker (96) spherical iron vase (97) small smoking sunglasses (98) russian jar (99) tiny plier (100) good camera (101) enormous smoking trash can (102) glass key (103) normal-size stapler (104) bangladeshi driving silly umbrella (105) terrible banana (106) medium-size eating bag (107) paper shirt (108) rectangular bed (109) obnoxious brown fork (110) square paper shirt (111) normal-size snorkeling plate (112) maroon plate (113) prismlike cardboard pen (114) mexican piano (115) spherical steel marker (116) awful shirt (117) old wallet (118) new hammer (119) silly cyan clock (120) vietnamese ancient candle (121) ridiculous yellow plate (122) fiberglass plier (123) turkish piano (124) blue wallet (125) large umbrella (126) leather bag (127) old camera (128) rectangular iron ball (129) awful necklace (130) mysterious white book (131) triangular hammer (132) brown chair (133) pyramidal fiberglass drill (134) brown bicycle (135) tiny typing speaker (136) brand-new bag (137) eating trash can (138) big eating table (139) triangular plastic table (140) thai old key (141) white sunglasses (142) blue drill (143) exercise book (144) typing guitar (145) mysterious camera (146) turkish ancient camera (147) pyramidal cardboard shoe (148) blue speaker (149) good watch (150) terrible fork (151) congolese ancient ruler (152) ancient shoe (153) medium-size snorkeling calculator (154) circular wood watch (155) triangular fiberglass drill (156) bangladeshi old-fashioned wrench (157) bangladeshi brand-new jar (158) silly aqua sunglasses (159) black calculator (160) indian key (161) snorkeling hat (162) rectangular dog (163) indonesian pencil (164) russian old-fashioned fire extinguisher (165) enormous vase (166) triangular wood screwdriver (167) ethiopian old calculator (168) green umbrella (169) rectangular wool bed (170) leather stapler (171) green banana (172) terrible cyan bed (173) german trash can (174) awful teal screwdriver (175) spherical box (176) awful saw (177) little typing bird (178) big snorkeling fork (179) rectangular leather necklace (180) prismlike toolbox (181) huge smoking sunglasses (182) mysterious aqua brush (183) obnoxious cup\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) triangular normal-size driving silly cyan archaic ethiopian knife\n(B) old tiny drinking wonderful black rectangular cardboard flower pot\n(C) congolese ancient little whittling mysterious pink steel pyramidal shoe\n(D) normal-size drinking mysterious pink triangular cloth table\n(E) indonesian new medium-size whittling awful red steel car\n(F) japanese old medium-size snorkeling wonderful maroon shoe\n(G) glass rectangular medium-size typing nice black table\n(H) pakistani old-fashioned little eating nice cyan circular leather car key\n(I) glass square enormous snorkeling awful white archaic vietnamese vase\n(J) cardboard small smoking nice teal ancient congolese hat\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:037", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) new wrench (2) old-fashioned ruler (3) walking lamp (4) plastic old banana (5) big whittling box (6) glass earring (7) huge snorkeling table (8) iron saw (9) small bag (10) walking stapler (11) spherical wonderful ruler (12) cloth bowl (13) plastic brand-new plate (14) silly fire extinguisher (15) huge eating plier (16) fiberglass new shirt (17) ancient jar (18) pyramidal knife (19) archaic knife (20) snorkeling house (21) spherical hat (22) leather calculator (23) rectangular plate (24) crimson congolese key (25) steel ancient bed (26) gray bangladeshi stapler (27) circular nice knife (28) glass drill (29) wonderful banana (30) teal brush (31) indigo ethiopian clock (32) tiny camera (33) pink indonesian hammer (34) steel screwdriver (35) aqua german key (36) iranian wallet (37) good fork (38) new sunglasses (39) maroon indian screwdriver (40) vietnamese banana (41) medium-size walking car key (42) maroon iranian ball (43) black bird (44) leather old-fashioned flower pot (45) square silly knife (46) leather house (47) massive whittling plier (48) ridiculous trash can (49) snorkeling clock (50) paper archaic house (51) exercise key (52) exercise wood terrible fire extinguisher (53) rectangular cup (54) spherical toolbox (55) cardboard cup (56) iron bowl (57) square banana (58) tiny ruler (59) snorkeling plate (60) indigo vase (61) archaic ruler (62) aqua congolese watch (63) spherical bed (64) red pen (65) prismlike box (66) small pencil (67) small bowl (68) little eating clock (69) silly toolbox (70) wonderful trash can (71) wool flower pot (72) filipino table (73) gray nigerian dog (74) old lamp (75) ancient box (76) whittling table (77) pyramidal terrible calculator (78) crimson bangladeshi table (79) obnoxious bicycle (80) teal indonesian piano (81) pyramidal bird (82) crimson pen (83) mysterious necklace (84) blue knife (85) mysterious calculator (86) steel old screwdriver (87) magenta thai plier (88) big clock (89) drinking hat (90) thai toolbox (91) wood knife (92) ethiopian necklace (93) aqua vietnamese screwdriver (94) whittling knife (95) lovely stapler (96) brown indian earring (97) ancient marker (98) eating banana (99) brown hammer (100) wood wrench (101) mexican trash can (102) enormous whittling flower pot (103) rectangular vase (104) little eating chair (105) tiny cup (106) congolese saw (107) repulsive apple (108) drinking house (109) vietnamese apple (110) midsize plier (111) good flower pot (112) rubber hat (113) walking sunglasses (114) spherical scissors (115) congolese piano (116) white german scissors (117) triangular lovely umbrella (118) eating sunglasses (119) old marker (120) leather brand-new necklace (121) enormous hiking bird (122) huge smoking book (123) wood umbrella (124) smoking pen (125) ridiculous bird (126) brand-new fork (127) small hat (128) iron stapler (129) little vase (130) yellow congolese apple (131) hiking dog (132) steel old watch (133) wood archaic bird (134) cloth ball (135) whittling box (136) big key (137) brown indian candle (138) rectangular plier (139) triangular piano (140) old guitar (141) black indonesian banana (142) pink bangladeshi banana (143) normal-size speaker (144) maroon key (145) circular clock (146) fiberglass dog (147) gray banana (148) indigo pakistani pen (149) violet chinese ring (150) repulsive box (151) ethiopian shirt (152) plastic house (153) leather sofa (154) tiny ring (155) terrible guitar (156) red egyptian marker (157) black ring (158) crimson necklace (159) little drinking wrench (160) ethiopian fire extinguisher (161) medium-size smoking trash can (162) nice vase (163) terrible canvas (164) big pen (165) awful lamp (166) maroon nigerian sofa (167) brown german plate (168) glass knife (169) huge exercise knife (170) fiberglass old umbrella (171) eating canvas (172) midsize ancient square screwdriver (173) prismlike repulsive brush (174) driving bowl (175) pyramidal mysterious screwdriver (176) glass plate (177) good earring (178) indigo necklace (179) magenta table (180) aqua vietnamese bed (181) small shirt (182) red vietnamese cup (183) maroon filipino pen (184) vietnamese piano (185) hiking toolbox (186) cardboard old speaker (187) paper table (188) gray brazilian sunglasses (189) leather pen\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) large smoking plastic old-fashioned triangular ridiculous vase\n(B) steel new spherical ridiculous cyan brazilian bag\n(C) pink filipino fiberglass brand-new circular repulsive smoking fire extinguisher\n(D) snorkeling cardboard old triangular repulsive bangladeshi yellow screwdriver\n(E) thai crimson cloth brand-new pyramidal mysterious bottle\n(F) eating glass old-fashioned square silly violet brazilian ruler\n(G) russian plastic ancient triangular awful snorkeling big ring\n(H) big eating steel archaic pyramidal lovely vietnamese indigo key\n(I) cyan fiberglass ancient square lovely eating small hat\n(J) turkish yellow iron old-fashioned square awful typing house\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:040", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) walking lamp (2) eating spoon (3) spherical ring (4) medium-size car (5) snorkeling lovely lamp (6) terrible trash can (7) prismlike jar (8) enormous cardboard book (9) leather umbrella (10) green spoon (11) big paper wallet (12) magenta hat (13) big iron plate (14) wood canvas (15) ridiculous table (16) driving ridiculous plier (17) circular blue screwdriver (18) new trash can (19) enormous paper candle (20) good lamp (21) smoking ridiculous bird (22) exercise screwdriver (23) tiny lamp (24) american new calculator (25) wool brush (26) typing flower pot (27) archaic plate (28) massive glass fire extinguisher (29) ancient guitar (30) prismlike toolbox (31) square screwdriver (32) midsize plier (33) typing pencil (34) old hammer (35) cloth house (36) spherical white spoon (37) white toolbox (38) enormous glass saw (39) glass sunglasses (40) cardboard sofa (41) large cloth candle (42) indonesian brand-new car key (43) whittling lovely cup (44) exercise saw (45) new jar (46) congolese knife (47) big wool hat (48) smoking repulsive apple (49) brand-new sofa (50) driving flower pot (51) wood speaker (52) german canvas (53) big wool canvas (54) red jar (55) magenta car (56) plastic marker (57) square hammer (58) ridiculous fork (59) american shirt (60) white flower pot (61) magenta wrench (62) wool pen (63) teal marker (64) red earring (65) chinese brand-new fire extinguisher (66) archaic candle (67) mysterious apple (68) spherical brown bird (69) filipino old chair (70) russian old book (71) massive key (72) new shirt (73) magenta necklace (74) wool ball (75) brown drill (76) whittling mysterious piano (77) exercise chair (78) midsize piano (79) wonderful shirt (80) square table (81) new marker (82) midsize paper house (83) ancient book (84) obnoxious circular archaic scissors (85) driving obnoxious canvas (86) vietnamese car (87) rectangular indigo sunglasses (88) white brush (89) big fork (90) indonesian brand-new wrench (91) egyptian ancient guitar (92) thai spoon (93) triangular cyan ring (94) old chair (95) cloth ring (96) terrible bowl (97) old-fashioned clock (98) repulsive screwdriver (99) black lamp (100) huge speaker (101) aqua earring (102) brazilian old bicycle (103) little house (104) drinking shoe (105) lovely book (106) brand-new jar (107) eating wonderful camera (108) wonderful trash can (109) enormous pencil (110) new table (111) snorkeling wonderful car key (112) massive camera (113) pyramidal wallet (114) typing wallet (115) iron box (116) brazilian cup (117) tiny wood plier (118) little wood stapler (119) driving good key (120) big canvas (121) brand-new saw (122) cloth knife (123) whittling silly ball (124) circular bowl (125) steel umbrella (126) normal-size iron wrench (127) driving bottle (128) midsize table (129) prismlike indigo shoe (130) egyptian shoe (131) green candle (132) indonesian old-fashioned fork (133) spherical saw (134) pyramidal magenta bird (135) mexican sunglasses (136) spherical screwdriver (137) circular wrench (138) brand-new key (139) good pen (140) midsize car key (141) small house (142) brand-new stapler (143) whittling mysterious house (144) aqua banana (145) russian old knife (146) midsize fire extinguisher (147) walking terrible candle (148) walking repulsive ball (149) huge jar (150) large ruler (151) walking brown japanese marker (152) pink necklace (153) eating pencil (154) drinking ridiculous scissors (155) good plate (156) brazilian bicycle (157) massive spoon (158) walking repulsive fork (159) triangular black hat (160) smoking wonderful wallet (161) congolese new flower pot (162) german old-fashioned stapler (163) good jar (164) big cloth hammer (165) large scissors (166) exercise obnoxious toolbox (167) drinking bottle (168) crimson bottle (169) enormous glass shirt (170) turkish saw (171) repulsive watch (172) rectangular stapler (173) wood banana (174) indigo book (175) spherical brown apple (176) massive paper watch (177) iron sunglasses (178) circular magenta brush (179) massive cloth marker (180) drinking pencil (181) circular black book (182) crimson banana (183) typing bird (184) small wool pen (185) whittling awful lamp (186) walking silly canvas (187) walking flower pot (188) walking wonderful trash can (189) brand-new pen (190) lovely fork (191) massive pen (192) circular indigo plate (193) aqua lamp (194) midsize wood toolbox (195) russian ancient fork (196) paper plier\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) snorkeling terrible rectangular indigo iranian old candle\n(B) exercise nice spherical magenta turkish ancient large scissors\n(C) normal-size rectangular green bangladeshi old obnoxious exercise ruler\n(D) silly square maroon brazilian old rubber big brush\n(E) smoking wonderful pyramidal red japanese brand-new rubber table\n(F) massive wool square violet mexican old-fashioned bicycle\n(G) tiny paper pyramidal crimson ethiopian old-fashioned mysterious whittling apple\n(H) wool small triangular indigo brazilian brand-new awful ruler\n(I) typing lovely rectangular magenta brazilian brand-new huge iron candle\n(J) prismlike red indian new steel enormous speaker\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:041", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) magenta spoon (2) pyramidal pink house (3) lovely flower pot (4) drinking fork (5) good glass ruler (6) good banana (7) eating ancient steel apple (8) drinking sunglasses (9) lovely jar (10) prismlike cyan spoon (11) circular aqua fire extinguisher (12) square cyan lamp (13) ridiculous plastic pencil (14) triangular bowl (15) yellow watch (16) tiny exercise dog (17) driving piano (18) big snorkeling house (19) large dog (20) enormous dog (21) magenta key (22) old hammer (23) repulsive clock (24) pyramidal maroon piano (25) spherical marker (26) old bird (27) prismlike pink watch (28) cardboard ball (29) good cloth clock (30) nice speaker (31) terrible bag (32) fiberglass camera (33) pyramidal dog (34) pyramidal violet jar (35) white bird (36) typing lamp (37) mysterious wood piano (38) crimson clock (39) driving hammer (40) normal-size table (41) big pencil (42) japanese necklace (43) ancient egyptian pen (44) old shoe (45) enormous fork (46) congolese bag (47) mysterious banana (48) archaic necklace (49) thai wrench (50) silly key (51) thai vase (52) midsize lamp (53) walking piano (54) midsize snorkeling car (55) nice iron bird (56) repulsive wood flower pot (57) brand-new turkish book (58) spherical dog (59) pyramidal ring (60) old-fashioned lamp (61) chinese pencil (62) good plastic trash can (63) plastic key (64) fiberglass earring (65) brand-new german hat (66) new saw (67) small congolese ridiculous bird (68) lovely fiberglass bowl (69) mexican screwdriver (70) old indonesian sofa (71) square teal umbrella (72) good toolbox (73) nigerian toolbox (74) massive walking hammer (75) blue knife (76) wonderful sofa (77) new egyptian bed (78) american trash can (79) archaic ring (80) driving banana (81) circular green house (82) terrible iron bowl (83) massive driving ball (84) rectangular necklace (85) eating apple (86) ridiculous paper canvas (87) brand-new saw (88) big spoon (89) blue jar (90) obnoxious stapler (91) triangular magenta jar (92) old chair (93) normal-size drill\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) indigo rectangular old congolese terrible leather smoking bowl\n(B) ancient vietnamese lovely cardboard magenta pyramidal fire extinguisher\n(C) cyan prismlike archaic bangladeshi mysterious fiberglass camera\n(D) maroon pyramidal old indian good rubber driving tiny table\n(E) enormous drinking archaic iranian repulsive paper ring\n(F) little walking new bangladeshi wonderful plastic prismlike pink candle\n(G) big exercise old nigerian ridiculous cloth yellow umbrella\n(H) circular indigo new vietnamese silly wood walking tiny knife\n(I) eating ancient vietnamese silly cardboard gray circular toolbox\n(J) snorkeling old russian nice wood pyramidal blue wallet\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:044", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) old-fashioned bed (2) hiking camera (3) blue knife (4) prismlike toolbox (5) circular saw (6) spherical archaic chair (7) silly black flower pot (8) lovely camera (9) smoking turkish scissors (10) glass ball (11) spherical umbrella (12) exercise ring (13) enormous saw (14) circular car key (15) big wrench (16) snorkeling canvas (17) hiking nigerian necklace (18) snorkeling iranian table (19) leather marker (20) pyramidal shoe (21) circular cup (22) tiny ruler (23) silly black earring (24) nice guitar (25) massive iron fork (26) repulsive violet car key (27) bangladeshi bottle (28) yellow shoe (29) new vase (30) indigo book (31) big bottle (32) old-fashioned speaker (33) lovely teal bowl (34) exercise brazilian trash can (35) iron camera (36) terrible car key (37) russian jar (38) hiking spoon (39) square ancient fork (40) terrible clock (41) iron apple (42) smoking american stapler (43) medium-size spoon (44) cardboard earring (45) hiking ethiopian book (46) silly hat (47) eating congolese spoon (48) prismlike canvas (49) indian earring (50) iron shirt (51) cardboard trash can (52) indonesian lamp (53) massive rubber earring (54) good clock (55) circular old-fashioned spoon (56) square old shirt (57) exercise wrench (58) hiking japanese ring (59) typing german sunglasses (60) eating stapler (61) big wool fork (62) hiking calculator (63) tiny fiberglass trash can (64) huge speaker (65) obnoxious blue pen (66) smoking brazilian house (67) hiking nigerian toolbox (68) repulsive aqua necklace (69) iron chair (70) large car key (71) smoking japanese pen (72) russian brush (73) nice book (74) aqua chair (75) exercise ethiopian book (76) terrible fork (77) snorkeling umbrella (78) archaic canvas (79) square watch (80) lovely red key (81) circular camera (82) steel wrench (83) pakistani brush (84) brown clock (85) circular archaic ball (86) chinese bowl (87) ridiculous maroon banana (88) fiberglass brush (89) filipino shirt (90) smoking brazilian box (91) ridiculous wallet (92) enormous drill (93) indigo shoe (94) huge clock (95) silly earring (96) brand-new lamp (97) triangular sofa (98) prismlike old-fashioned piano (99) good hat (100) obnoxious necklace (101) circular key (102) mexican bed (103) little saw (104) ridiculous pink piano (105) triangular ancient canvas (106) brazilian camera (107) ancient candle (108) cloth piano (109) little speaker (110) massive fiberglass jar (111) german clock (112) gray bottle (113) wonderful yellow bird (114) indian hat (115) midsize blue driving piano (116) wool table (117) new ball (118) driving pen (119) rectangular apple (120) good gray dog (121) nice cyan fire extinguisher (122) exercise brush (123) mysterious canvas (124) spherical brand-new car (125) pyramidal archaic sofa (126) prismlike ancient plier (127) old-fashioned box (128) mysterious cyan wallet (129) old bottle (130) triangular new bottle (131) aqua scissors (132) pakistani lamp (133) brand-new car key (134) yellow candle (135) paper necklace (136) ridiculous house (137) normal-size iron spoon (138) iron nice egyptian sofa (139) good white watch (140) vietnamese chair (141) blue lamp (142) pink guitar (143) square spoon (144) walking iranian screwdriver (145) indian calculator\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) medium-size wood ridiculous teal eating egyptian new fork\n(B) wool obnoxious indigo driving filipino old spherical fork\n(C) old-fashioned triangular mysterious violet snorkeling filipino guitar\n(D) leather lovely maroon whittling filipino circular old car\n(E) massive fiberglass ridiculous green eating filipino rectangular trash can\n(F) massive wool repulsive red drinking nigerian trash can\n(G) archaic mysterious brown typing egyptian fiberglass normal-size fork\n(H) spherical new lovely aqua whittling german steel house\n(I) rectangular silly green smoking chinese steel large box\n(J) terrible teal driving american circular old banana\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:045", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) typing vietnamese ring (2) terrible cardboard sunglasses (3) triangular sofa (4) plastic calculator (5) old-fashioned lamp (6) walking japanese jar (7) german stapler (8) tiny fork (9) triangular pencil (10) vietnamese scissors (11) brand-new cup (12) pyramidal marker (13) snorkeling marker (14) enormous umbrella (15) new vase (16) old pyramidal drill (17) archaic spherical cup (18) wonderful dog (19) pyramidal camera (20) old bag (21) snorkeling shirt (22) spherical stapler (23) old-fashioned dog (24) massive pink trash can (25) walking calculator (26) turkish cup (27) driving wrench (28) ancient circular jar (29) glass earring (30) aqua dog (31) snorkeling piano (32) medium-size black jar (33) eating chinese speaker (34) aqua bird (35) circular wallet (36) hiking japanese ball (37) violet candle (38) paper shoe (39) fiberglass pencil (40) gray guitar (41) medium-size cyan camera (42) obnoxious bowl (43) large watch (44) huge fork (45) nice cardboard book (46) normal-size wallet (47) exercise stapler (48) leather ancient brown bed (49) pyramidal fork (50) mysterious steel watch (51) green trash can (52) old bowl (53) indigo earring (54) lovely fiberglass pen (55) snorkeling congolese sunglasses (56) silly table (57) walking indonesian wrench (58) old circular marker (59) new triangular clock (60) vietnamese vase (61) obnoxious wood shirt (62) hiking lamp (63) mysterious cardboard knife (64) archaic scissors (65) whittling german fork (66) nice glass chair (67) ridiculous square enormous pencil (68) indigo banana (69) large jar (70) normal-size bed (71) eating jar (72) nice cloth spoon (73) big indigo book (74) eating bird (75) good iron chair (76) ridiculous plate (77) hiking hat (78) archaic triangular speaker (79) american speaker (80) pyramidal earring (81) lovely cloth canvas (82) huge car (83) silly wool screwdriver (84) small red fork (85) ridiculous steel wrench (86) huge brown hat (87) pyramidal vase (88) walking ring (89) repulsive glass brush (90) pyramidal ruler (91) drinking stapler (92) american banana (93) small indigo banana (94) little black bag (95) old-fashioned pyramidal bottle (96) big banana (97) huge canvas (98) good pen (99) red plier (100) ancient square chair (101) square banana (102) eating brush (103) old prismlike banana (104) green calculator (105) wonderful cardboard pen (106) good knife (107) repulsive vase (108) cardboard clock (109) new spherical bicycle (110) big plate (111) cyan plier (112) driving egyptian box (113) rectangular book (114) eating plier\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) cardboard ancient spherical enormous magenta walking thai wrench\n(B) turkish smoking old spherical big cyan table\n(C) driving mexican archaic square medium-size aqua fiberglass nice ring\n(D) repulsive wool old prismlike medium-size pink wrench\n(E) good iron ancient prismlike massive gray exercise trash can\n(F) russian old-fashioned square little indigo cloth wonderful marker\n(G) smoking turkish new prismlike small maroon paper ring\n(H) old-fashioned spherical large white snorkeling thai shoe\n(I) turkish typing brand-new triangular huge indigo fiberglass awful key\n(J) brand-new prismlike midsize white russian typing trash can\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:046", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) russian ruler (2) large fire extinguisher (3) pink wrench (4) repulsive car key (5) typing dog (6) nice wallet (7) silly bed (8) exercise black sofa (9) steel screwdriver (10) archaic ring (11) prismlike knife (12) maroon ruler (13) vietnamese clock (14) white lamp (15) square pencil (16) old sofa (17) iranian huge chair (18) mysterious watch (19) hiking brown apple (20) huge hammer (21) prismlike table (22) exercise bowl (23) iranian tiny umbrella (24) american little stapler (25) rubber ridiculous toolbox (26) typing hat (27) smoking bottle (28) typing stapler (29) chinese little screwdriver (30) pyramidal banana (31) thai normal-size umbrella (32) exercise cyan pen (33) paper scissors (34) vietnamese large bottle (35) cyan banana (36) tiny table (37) old-fashioned pen (38) crimson stapler (39) glass flower pot (40) iron fire extinguisher (41) spherical ancient jar (42) nigerian marker (43) terrible camera (44) awful sofa (45) paper terrible sofa (46) turkish medium-size key (47) old-fashioned shirt (48) medium-size fire extinguisher (49) leather plate (50) iron obnoxious brush (51) indigo flower pot (52) normal-size car (53) glass wonderful wallet (54) walking cyan hammer (55) ridiculous fork (56) paper banana (57) wood calculator (58) small jar (59) midsize chair (60) congolese saw (61) wonderful apple (62) mexican huge bottle (63) vietnamese dog (64) blue ball (65) wood terrible apple (66) white candle (67) prismlike banana (68) turkish drill (69) rectangular ancient toolbox (70) black hat (71) smoking apple (72) circular archaic car (73) brazilian little ruler (74) ridiculous toolbox (75) little scissors (76) triangular old vase (77) new saw (78) massive canvas (79) pakistani fork (80) leather good vase (81) snorkeling yellow trash can (82) big bicycle (83) smoking indigo clock (84) wool massive square key (85) indian massive bag (86) old-fashioned piano (87) eating violet toolbox (88) spherical brand-new canvas (89) archaic clock (90) pakistani watch (91) drinking cyan apple (92) smoking green flower pot (93) indian earring (94) walking white plier (95) snorkeling maroon pencil (96) mysterious chair (97) old-fashioned car key (98) iron wonderful lamp (99) fiberglass ridiculous plier (100) wool repulsive earring (101) driving indigo jar (102) steel terrible book (103) black bicycle (104) magenta plier (105) plastic scissors (106) ethiopian medium-size knife (107) cloth nice ball (108) iron terrible necklace (109) new knife (110) prismlike old-fashioned camera (111) old trash can (112) plastic repulsive spoon (113) whittling maroon sunglasses (114) typing blue box (115) spherical stapler (116) yellow jar (117) circular brand-new house (118) obnoxious wallet (119) walking car key (120) indonesian big stapler (121) terrible table (122) little wallet (123) square ancient sunglasses (124) brand-new vase (125) russian candle (126) massive calculator (127) ethiopian apple (128) large bag (129) square apple (130) fiberglass mysterious canvas (131) pakistani canvas (132) drinking knife (133) enormous pencil (134) medium-size marker (135) russian enormous vase (136) old bottle (137) cardboard fork (138) leather marker (139) archaic bottle (140) teal canvas (141) pyramidal table (142) japanese tiny calculator (143) triangular banana (144) prismlike brand-new banana (145) indonesian huge bed (146) cloth wallet (147) violet clock (148) fiberglass watch (149) exercise teal plier (150) ancient bird (151) egyptian house (152) circular old-fashioned bag (153) old-fashioned brush (154) ridiculous ring (155) enormous fork (156) iron wonderful wrench (157) rectangular candle (158) eating flower pot (159) pyramidal new canvas (160) pakistani small bed (161) cardboard wonderful cup (162) walking bowl (163) prismlike box (164) archaic umbrella (165) big hammer (166) ancient box (167) steel table (168) egyptian chair (169) brand-new clock (170) rectangular apple (171) turkish key (172) prismlike house (173) fiberglass nice box (174) white bottle (175) wonderful wrench (176) leather nice marker (177) prismlike earring (178) aqua toolbox (179) leather good sofa (180) typing vase (181) whittling blue lamp (182) new umbrella (183) ancient drill (184) pyramidal bicycle (185) driving screwdriver (186) plastic obnoxious bowl (187) steel piano (188) iron table (189) hiking black camera (190) lovely umbrella (191) gray bed (192) plastic obnoxious marker (193) cloth good dog (194) snorkeling watch (195) plastic obnoxious dog (196) massive drill (197) typing house (198) lovely american ancient wrench (199) medium-size banana (200) walking bag (201) pyramidal watch (202) brown plate (203) hiking teal ball (204) spherical screwdriver (205) typing car (206) exercise table (207) normal-size scissors (208) white toolbox (209) ridiculous guitar (210) awful toolbox (211) turkish enormous sofa (212) walking black fork (213) whittling crimson plier (214) brown vase (215) wool bag (216) prismlike shoe (217) brazilian medium-size banana (218) iron brush (219) paper obnoxious banana (220) hiking pen (221) white wrench (222) enormous toolbox (223) circular old candle (224) gray book (225) thai pencil (226) fiberglass hammer (227) german marker (228) new calculator (229) exercise violet canvas (230) steel repulsive jar (231) leather vase (232) large pen (233) medium-size ball\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) silly japanese little square old-fashioned typing violet plier\n(B) driving indigo russian midsize circular new terrible leather clock\n(C) typing indian medium-size rectangular old mysterious fiberglass box\n(D) paper nice german small circular old-fashioned green earring\n(E) iron nice indonesian big spherical new trash can\n(F) chinese midsize pyramidal brand-new smoking teal watch\n(G) typing aqua thai medium-size triangular brand-new knife\n(H) pink exercise brazilian enormous prismlike archaic repulsive necklace\n(I) rubber terrible indonesian tiny triangular ancient whittling bicycle\n(J) snorkeling green egyptian tiny circular archaic lovely plate\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:053", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) aqua small marker (2) filipino spherical ball (3) archaic shirt (4) iranian earring (5) green little brush (6) white bicycle (7) big house (8) terrible earring (9) rubber table (10) medium-size spoon (11) spherical sunglasses (12) lovely guitar (13) nigerian square scissors (14) archaic leather house (15) ethiopian toolbox (16) iron cup (17) steel ball (18) japanese shirt (19) violet knife (20) ethiopian key (21) midsize hammer (22) old plier (23) nice book (24) paper stapler (25) plastic book (26) good watch (27) spherical brush (28) tiny box (29) new plastic vase (30) old paper car (31) pink spoon (32) little bottle (33) brand-new leather shirt (34) brazilian pencil (35) iron shirt (36) cyan small bag (37) pakistani candle (38) medium-size plier (39) big piano (40) small pencil (41) violet medium-size plate (42) driving plate (43) spherical book (44) drinking toolbox (45) square toolbox (46) good smoking apple (47) ridiculous flower pot (48) iron scissors (49) ancient umbrella (50) indigo small marker (51) circular hammer (52) smoking jar (53) nigerian book (54) vietnamese pyramidal plier (55) wood screwdriver (56) turkish square vase (57) silly eating bed (58) glass wallet (59) good smoking saw (60) ridiculous typing calculator (61) brand-new steel bowl (62) lovely flower pot (63) indonesian circular bag (64) ridiculous snorkeling chair (65) triangular lamp (66) ethiopian pyramidal sofa (67) little spoon (68) small sofa (69) old-fashioned book (70) bangladeshi chair (71) cyan tiny wrench (72) ancient flower pot (73) fiberglass banana (74) awful eating fire extinguisher (75) spherical jar (76) brand-new wood hammer (77) obnoxious bottle (78) massive house (79) awful ring (80) gray big umbrella (81) ancient cardboard camera (82) pink little wrench (83) circular book (84) triangular apple (85) repulsive calculator (86) new leather flower pot (87) japanese triangular banana (88) russian fork (89) brand-new steel chair (90) little bowl (91) old wrench (92) indigo brush (93) circular candle (94) old-fashioned bed (95) wonderful house (96) small scissors (97) triangular bag (98) rubber ruler (99) chinese chair (100) nigerian rectangular earring (101) congolese square brush (102) fiberglass plate (103) pyramidal fire extinguisher (104) archaic fiberglass car key (105) pakistani circular hat (106) old plastic ball (107) obnoxious hiking car (108) spherical camera (109) spherical wrench (110) iranian prismlike car key (111) nigerian shoe (112) crimson umbrella (113) snorkeling speaker (114) crimson ball (115) rubber plier (116) rubber bowl (117) snorkeling canvas (118) wood bottle (119) brand-new bed (120) aqua little lamp (121) brand-new iron screwdriver (122) typing ball (123) archaic wrench (124) midsize trash can (125) wool stapler (126) enormous ring (127) normal-size speaker (128) white huge fork (129) awful smoking plate (130) snorkeling saw (131) leather stapler (132) old-fashioned key (133) ridiculous whittling scissors (134) blue little box (135) ridiculous trash can (136) red normal-size bed (137) bangladeshi ball (138) midsize vase (139) new leather sunglasses (140) smoking camera (141) archaic fiberglass guitar (142) hiking banana (143) old hiking crimson piano (144) german knife (145) brand-new book (146) filipino shoe (147) japanese pyramidal toolbox (148) ancient spoon (149) ethiopian rectangular vase (150) gray apple (151) red massive candle (152) brown earring (153) snorkeling sofa (154) violet large guitar (155) indian drill (156) medium-size bottle (157) medium-size pencil (158) hiking car (159) cyan wrench (160) old earring (161) mexican prismlike table (162) obnoxious brush (163) square speaker (164) little cup (165) snorkeling vase (166) filipino prismlike book (167) pyramidal pencil (168) prismlike bird (169) black large lamp (170) white ruler (171) good hiking bowl (172) repulsive candle (173) glass flower pot (174) pyramidal candle (175) cardboard bicycle (176) wood calculator (177) indian car (178) steel brush (179) awful pencil (180) archaic bird (181) turkish pyramidal knife (182) good smoking dog (183) snorkeling brush (184) mexican pyramidal wallet (185) black house (186) whittling ruler (187) japanese car (188) archaic plastic lamp (189) mysterious apple (190) pyramidal wallet (191) typing pencil (192) pyramidal clock (193) aqua medium-size canvas (194) japanese ring (195) egyptian canvas (196) ancient iron house (197) new box (198) steel table (199) lovely hiking pen (200) ancient glass necklace (201) terrible exercise key (202) large dog (203) old cloth key (204) brazilian screwdriver (205) eating house (206) leather nice small pencil (207) old leather sofa (208) old plate (209) square bicycle (210) ridiculous driving saw (211) vietnamese candle (212) obnoxious cup (213) brand-new toolbox (214) whittling pen (215) lovely walking sofa (216) exercise wrench (217) maroon knife (218) smoking plate (219) smoking canvas (220) smoking piano (221) triangular car (222) archaic leather pen (223) indian toolbox (224) pakistani circular bowl (225) magenta massive hammer (226) ancient rubber plier (227) egyptian triangular speaker (228) bangladeshi lamp (229) terrible walking pen (230) pink enormous table (231) medium-size bicycle (232) indigo fork (233) teal massive sunglasses (234) repulsive bottle (235) black flower pot (236) german table (237) prismlike car key (238) ancient camera (239) mysterious snorkeling chair (240) teal tiny dog (241) old-fashioned fiberglass sunglasses (242) ancient book (243) ancient dog (244) massive necklace (245) medium-size saw (246) repulsive eating wrench (247) wool brush (248) old drill\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) archaic cloth lovely whittling green normal-size pyramidal congolese key\n(B) obnoxious walking brown huge prismlike thai shoe\n(C) wool mysterious eating teal normal-size pakistani prismlike hat\n(D) bangladeshi spherical mysterious exercise crimson big wood dog\n(E) brazilian circular awful drinking magenta large pen\n(F) new glass good hiking yellow normal-size bird\n(G) brand-new steel terrible smoking magenta tiny german flower pot\n(H) spherical german lovely snorkeling aqua large plastic new wallet\n(I) rectangular iranian wonderful driving green tiny plate\n(J) indonesian circular good driving black enormous fiberglass archaic cup\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:054", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) violet awful dog (2) pyramidal bottle (3) normal-size lamp (4) triangular stapler (5) old calculator (6) japanese canvas (7) prismlike table (8) ancient medium-size earring (9) wonderful plier (10) mexican cardboard saw (11) green medium-size indian vase (12) enormous earring (13) hiking rectangular house (14) nigerian paper umbrella (15) pyramidal wallet (16) massive saw (17) violet wonderful fork (18) ancient big chair (19) hiking clock (20) black wonderful trash can (21) huge key (22) eating circular hat (23) fiberglass watch (24) bangladeshi toolbox (25) rectangular calculator (26) spherical camera (27) enormous bowl (28) cardboard dog (29) big lamp (30) aqua nice necklace (31) magenta obnoxious wrench (32) white good cup (33) green candle (34) indigo wrench (35) filipino lamp (36) exercise table (37) snorkeling ball (38) huge bed (39) indonesian fire extinguisher (40) rectangular bird (41) small plier (42) little hammer (43) lovely candle (44) little camera (45) whittling rectangular chair (46) red silly guitar (47) ancient pen (48) tiny plier (49) crimson nice ball (50) green jar (51) normal-size bird (52) brown ruler (53) midsize key (54) maroon shoe (55) snorkeling pyramidal car (56) egyptian glass clock (57) ancient toolbox (58) white good screwdriver (59) crimson box (60) old-fashioned clock (61) leather cup (62) archaic normal-size speaker (63) filipino glass knife (64) archaic massive bottle (65) russian umbrella (66) square flower pot (67) maroon cup (68) russian pencil (69) eating spherical sunglasses (70) small bowl (71) teal repulsive ball (72) spherical trash can (73) brand-new bed (74) mexican cardboard dog (75) new vase (76) green bed (77) brown shoe (78) old-fashioned small plier (79) leather brush (80) red mysterious trash can (81) magenta ridiculous shirt (82) prismlike vase (83) walking pyramidal pencil (84) red ring (85) black necklace (86) maroon house (87) indigo guitar (88) new large hat (89) obnoxious bed (90) white car key (91) little jar (92) magenta earring (93) red terrible calculator (94) iranian steel car key (95) lovely wallet (96) red wonderful toolbox (97) big bicycle (98) old scissors (99) pakistani rubber house (100) silly wrench (101) fiberglass scissors (102) massive bag (103) chinese cardboard toolbox (104) good brush (105) pakistani spoon (106) iranian fiberglass flower pot (107) nice toolbox (108) driving rectangular house (109) snorkeling clock (110) brand-new huge drill (111) archaic piano (112) crimson obnoxious hat (113) archaic apple (114) terrible ring (115) paper pencil (116) old banana (117) rectangular vase (118) whittling box (119) archaic enormous vase (120) ancient large brush (121) archaic enormous fork (122) mysterious bicycle (123) black fire extinguisher (124) cardboard cup (125) lovely book (126) pakistani key (127) wool book (128) exercise spherical ruler (129) big canvas (130) cyan fire extinguisher (131) crimson silly saw (132) typing speaker (133) ancient shirt (134) driving spherical vase (135) brand-new normal-size bag (136) leather scissors (137) walking candle (138) triangular bed (139) midsize vase (140) indigo calculator (141) green wonderful car (142) brown nice ruler (143) pink ball (144) rectangular house (145) steel banana (146) drinking circular stapler (147) american cardboard calculator (148) black terrible plier (149) iranian iron spoon (150) ancient big box (151) pink bed (152) rubber stapler (153) american ball (154) glass wrench (155) spherical box (156) driving banana (157) hiking necklace (158) archaic bottle (159) obnoxious apple (160) rubber calculator (161) pink obnoxious knife (162) american cloth bowl (163) brand-new cup (164) new massive piano (165) cardboard piano (166) old-fashioned little dog (167) rubber wallet (168) hiking sofa (169) indonesian bag (170) gray repulsive flower pot (171) driving square flower pot (172) pyramidal knife (173) snorkeling prismlike earring (174) pyramidal pen (175) crimson house (176) teal awful key (177) yellow silly sunglasses (178) fiberglass spoon (179) drinking camera (180) ancient midsize flower pot (181) triangular earring (182) walking sofa (183) large pencil (184) iranian guitar (185) brown candle (186) rubber bottle (187) ethiopian bag (188) egyptian chair (189) aqua mysterious ruler (190) german plastic guitar (191) typing box (192) medium-size plier (193) japanese steel umbrella (194) large spoon (195) iranian iron sofa (196) awful candle (197) new saw (198) walking marker (199) circular car key (200) archaic spoon (201) plastic bag (202) old-fashioned car key (203) cardboard wallet (204) blue terrible knife (205) filipino book (206) lovely fork (207) pakistani cardboard fire extinguisher (208) medium-size earring (209) ancient lamp (210) violet terrible candle (211) ancient stapler (212) old medium-size chair (213) crimson vase (214) archaic normal-size fire extinguisher (215) typing plate (216) old-fashioned stapler (217) american wool scissors (218) iranian wool banana (219) small shirt (220) drinking rectangular knife (221) leather bicycle (222) eating umbrella (223) new calculator (224) big marker (225) normal-size car (226) exercise triangular calculator (227) prismlike brush (228) tiny marker (229) archaic tiny plier (230) old-fashioned small bed (231) triangular bicycle (232) lovely archaic plastic clock (233) obnoxious necklace (234) old tiny lamp\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) violet obnoxious brand-new little german wool whittling prismlike umbrella\n(B) black terrible ancient enormous congolese leather trash can\n(C) red mysterious new small indian paper snorkeling bird\n(D) square driving new big thai wood ruler\n(E) exercise spherical brand-new enormous japanese steel wrench\n(F) ancient large iranian rubber pyramidal typing umbrella\n(G) repulsive ancient midsize brazilian wood eating square screwdriver\n(H) drinking circular archaic big russian steel mysterious magenta key\n(I) ancient medium-size turkish wood smoking prismlike plate\n(J) maroon ridiculous archaic medium-size egyptian steel rectangular drinking ring\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:055", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) exercise old sofa (2) old-fashioned knife (3) spherical calculator (4) spherical nice plate (5) square terrible calculator (6) nice dog (7) triangular new huge sofa (8) cardboard bowl (9) tiny plier (10) pakistani bowl (11) indigo ball (12) glass wallet (13) ancient piano (14) terrible typing wood bottle (15) drinking old shirt (16) brown congolese guitar (17) fiberglass trash can (18) eating old bag (19) cyan chinese toolbox (20) triangular cup (21) huge glass fire extinguisher (22) huge brush (23) whittling lamp (24) cardboard watch (25) silly drill (26) hiking brand-new chair (27) indonesian bed (28) mysterious bag (29) pyramidal obnoxious shoe (30) tiny plastic chair (31) brand-new wallet (32) prismlike ridiculous watch (33) enormous car key (34) lovely chair (35) walking ball (36) pink american knife (37) maroon sunglasses (38) yellow american cup (39) triangular pen (40) vietnamese watch (41) nigerian hat (42) teal ethiopian book (43) driving brand-new bottle (44) brown wallet (45) archaic apple (46) triangular key (47) maroon shirt (48) eating necklace (49) prismlike good piano (50) snorkeling ball (51) enormous leather speaker (52) enormous piano\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) thai drinking brand-new big rubber mysterious spherical toolbox\n(B) pyramidal mysterious eating archaic massive fiberglass speaker\n(C) indonesian magenta typing old midsize wood scissors\n(D) white eating brand-new large glass repulsive rectangular bottle\n(E) white nigerian typing ancient tiny glass obnoxious triangular fire extinguisher\n(F) snorkeling new big plastic indonesian pink house\n(G) obnoxious whittling new medium-size paper blue iranian hat\n(H) prismlike obnoxious walking old massive paper turkish marker\n(I) wonderful exercise old-fashioned enormous leather nigerian indigo bird\n(J) hiking new midsize iron blue bangladeshi key\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:057", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) square hammer (2) smoking plate (3) old-fashioned tiny fork (4) old car key (5) ethiopian bed (6) archaic big pencil (7) driving bicycle (8) old bowl (9) steel house (10) awful flower pot (11) black sofa (12) indian table (13) archaic watch (14) prismlike exercise vase (15) obnoxious sunglasses (16) nigerian vase (17) archaic house (18) ridiculous banana (19) brand-new stapler (20) smoking pen (21) new large candle (22) indonesian gray trash can (23) brazilian bottle (24) old vase (25) square typing drill (26) old-fashioned big pencil (27) triangular smoking hat (28) wool stapler (29) triangular plate (30) driving watch (31) old drill (32) ancient small box (33) lovely table (34) drinking mexican enormous ball (35) wonderful bird (36) german violet box (37) white shoe (38) new saw (39) ridiculous fiberglass sunglasses (40) normal-size watch (41) white brush (42) triangular eating umbrella (43) ridiculous fiberglass ball (44) good steel vase (45) small bed (46) circular plier (47) prismlike walking knife (48) cloth ruler (49) rectangular car (50) green screwdriver (51) obnoxious fiberglass umbrella (52) normal-size car (53) little shoe (54) archaic tiny scissors (55) mexican ring (56) old piano (57) american crimson plier (58) circular speaker (59) square speaker (60) old-fashioned little wrench (61) old book (62) mysterious camera (63) green guitar (64) triangular smoking sunglasses (65) cyan hammer (66) silly wool car (67) triangular drinking marker (68) indian teal dog (69) old-fashioned large toolbox (70) brand-new midsize dog (71) fiberglass fire extinguisher (72) terrible ball (73) circular spoon (74) rectangular lamp (75) japanese magenta bird (76) old big bird (77) old-fashioned lamp (78) large drill (79) japanese teal candle (80) wool sunglasses (81) triangular smoking table (82) pink bowl (83) medium-size wrench (84) aqua plate (85) prismlike smoking guitar (86) lovely house (87) old medium-size jar (88) awful plastic marker (89) congolese brown hammer (90) massive bicycle (91) good cloth knife (92) ancient marker (93) american guitar (94) obnoxious paper sunglasses (95) exercise hat (96) prismlike pen (97) teal sofa (98) ridiculous shirt (99) bangladeshi yellow pen (100) awful sunglasses (101) filipino brush (102) midsize vase (103) big car (104) indonesian ring (105) little jar (106) driving ring (107) yellow shoe (108) iranian cyan flower pot (109) ridiculous wood pencil (110) gray clock (111) bangladeshi white candle (112) ridiculous screwdriver (113) old sunglasses (114) wonderful fiberglass banana (115) ridiculous flower pot (116) leather ruler (117) obnoxious leather scissors (118) wool car key (119) ethiopian shoe (120) tiny plate (121) circular driving earring (122) normal-size scissors (123) gray screwdriver (124) square exercise stapler (125) rectangular snorkeling screwdriver (126) old-fashioned normal-size fork (127) aqua shoe (128) typing hat (129) russian teal piano (130) terrible box (131) ethiopian hammer (132) wool bed (133) spherical exercise apple (134) egyptian scissors (135) green umbrella (136) crimson ball (137) american teal plier (138) pakistani toolbox (139) old chair (140) driving clock (141) hiking toolbox (142) new big cup (143) russian drill (144) brand-new medium-size ball (145) pyramidal banana (146) exercise bottle (147) cloth bed (148) square hiking lamp (149) brown car key (150) spherical stapler (151) old-fashioned earring (152) rectangular eating bowl (153) old midsize lamp (154) good paper plier (155) lovely stapler (156) ridiculous leather box (157) prismlike shoe (158) triangular canvas (159) bangladeshi spoon (160) old-fashioned pencil (161) walking screwdriver (162) ancient spoon (163) old-fashioned huge guitar (164) crimson fire extinguisher (165) triangular walking guitar (166) obnoxious fiberglass spoon (167) normal-size apple (168) leather trash can (169) congolese maroon house (170) egyptian teal car key (171) large book (172) tiny sunglasses (173) brazilian brown dog (174) iranian magenta lamp (175) ancient speaker (176) hiking bowl (177) wonderful ruler (178) indian box (179) brazilian bird (180) brand-new toolbox (181) good table (182) midsize apple (183) eating wallet (184) rubber key (185) drinking plier (186) mysterious car key (187) thai toolbox (188) new wallet (189) lovely plate (190) german flower pot (191) maroon camera (192) terrible cloth pencil (193) russian pencil (194) chinese spoon (195) silly speaker (196) terrible iron brush (197) indian teal banana (198) archaic bicycle (199) mysterious paper guitar (200) red brush (201) spherical green new chair (202) red screwdriver (203) turkish candle (204) plastic umbrella (205) drinking hammer (206) bangladeshi screwdriver (207) pakistani canvas (208) circular typing saw (209) square walking marker (210) rectangular walking bottle (211) pyramidal driving toolbox (212) typing ball (213) cardboard shoe (214) wood bag (215) white key (216) large umbrella (217) old bird (218) wool calculator (219) pyramidal key (220) square eating wrench (221) new normal-size house (222) brand-new bicycle (223) driving wrench (224) brazilian flower pot (225) glass candle (226) exercise stapler (227) indonesian bicycle (228) steel jar (229) new vase (230) german green guitar (231) archaic chair (232) exercise plier (233) square smoking box (234) magenta cup (235) rectangular whittling pencil (236) square house (237) nice plastic chair (238) maroon vase (239) mysterious paper bottle (240) new enormous canvas\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) circular eating thai red old-fashioned midsize ridiculous camera\n(B) pyramidal driving turkish black ancient big hat\n(C) square exercise egyptian cyan brand-new large cardboard earring\n(D) paper wonderful chinese cyan old-fashioned enormous drinking spherical jar\n(E) spherical typing turkish cyan old-fashioned small silly rubber wallet\n(F) paper terrible chinese maroon old-fashioned big drinking hat\n(G) exercise congolese green new huge rubber silly guitar\n(H) ridiculous brazilian blue brand-new big whittling prismlike camera\n(I) wood terrible russian violet brand-new huge bowl\n(J) japanese violet old-fashioned little rubber nice earring\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:065", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) nice toolbox (2) hiking lamp (3) green paper dog (4) brown canvas (5) magenta steel table (6) iranian new glass apple (7) german necklace (8) bangladeshi wrench (9) triangular wrench (10) normal-size awful flower pot (11) green leather camera (12) old walking fork (13) brand-new speaker (14) brand-new fork (15) exercise apple (16) prismlike lamp (17) cyan bed (18) red cup (19) terrible table (20) brown apple (21) spherical camera (22) prismlike bicycle (23) driving screwdriver (24) hiking flower pot (25) enormous clock (26) old drinking book (27) egyptian scissors (28) spherical house (29) yellow wood marker (30) prismlike canvas (31) brand-new camera (32) walking speaker (33) white speaker (34) new hiking car key (35) ancient eating box (36) lovely bed (37) indian ball (38) archaic dog (39) square indian ruler (40) brand-new apple (41) iron flower pot (42) driving house (43) rubber wrench (44) archaic marker (45) plastic bicycle (46) medium-size flower pot (47) enormous obnoxious cup (48) mexican canvas (49) circular vietnamese marker (50) cloth drill (51) indigo trash can (52) new snorkeling fork (53) square indian vase (54) cardboard umbrella (55) american book (56) snorkeling shirt (57) cloth watch (58) archaic brush (59) old-fashioned sunglasses (60) normal-size nice cup (61) medium-size ring (62) snorkeling table (63) pyramidal chinese camera (64) spherical congolese apple (65) huge car (66) congolese box (67) crimson wood trash can (68) midsize wallet (69) pyramidal shoe (70) indigo steel guitar (71) lovely earring (72) small knife (73) lovely clock (74) chinese fire extinguisher (75) awful clock (76) circular eating crimson shoe (77) green ruler (78) brown bird (79) glass candle (80) old-fashioned drinking ring (81) prismlike filipino marker (82) circular stapler (83) pakistani bag (84) violet leather car key (85) normal-size terrible earring (86) ancient bird (87) lovely vase (88) midsize repulsive cup (89) indonesian drill (90) normal-size sofa (91) new snorkeling chair (92) cyan marker (93) teal vase (94) terrible car key (95) white wallet (96) green steel spoon (97) paper knife (98) old jar (99) new driving knife (100) square german cup (101) repulsive trash can (102) huge terrible cup (103) old drinking knife (104) tiny house (105) normal-size obnoxious chair (106) small awful hammer (107) obnoxious saw (108) yellow wood pen (109) pyramidal russian bird (110) silly wallet (111) pyramidal ball (112) brand-new walking apple (113) rectangular ruler (114) exercise scissors (115) black cardboard plate (116) ancient drill (117) brown fork (118) leather jar (119) magenta wood bottle (120) egyptian camera (121) old-fashioned snorkeling bed (122) massive nice fork (123) green cloth plate (124) archaic jar (125) exercise drill (126) large saw (127) prismlike brazilian ruler (128) brazilian watch (129) little saw (130) maroon leather sofa (131) square thai box (132) indian car key (133) midsize terrible chair (134) lovely dog (135) yellow steel stapler (136) wonderful apple (137) massive stapler (138) cardboard hat (139) rubber saw (140) typing toolbox (141) circular cup (142) maroon fork (143) ancient typing guitar (144) huge umbrella (145) medium-size lovely hammer (146) archaic hiking shoe (147) exercise marker (148) crimson lamp (149) drinking saw (150) pyramidal saw (151) old driving clock (152) fiberglass vase (153) typing bowl (154) circular vietnamese candle (155) pakistani knife (156) tiny clock (157) pink leather earring (158) teal iron vase (159) crimson glass necklace (160) old-fashioned hiking plate (161) smoking vase (162) nice car key (163) magenta cloth key (164) steel ruler (165) ridiculous car key (166) rectangular japanese clock (167) whittling house (168) enormous jar (169) pyramidal watch (170) walking canvas (171) prismlike plate (172) archaic eating marker (173) brand-new car (174) white fork (175) indonesian pen (176) blue paper chair (177) old-fashioned walking book (178) pink trash can (179) circular ethiopian knife\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) pyramidal pakistani brand-new eating brown steel plate\n(B) obnoxious old drinking violet iron brazilian prismlike flower pot\n(C) enormous good old-fashioned hiking brown iron pen\n(D) triangular german ancient drinking crimson cloth small repulsive hat\n(E) spherical vietnamese ancient walking brown paper tiny guitar\n(F) mysterious medium-size archaic typing red fiberglass canvas\n(G) awful normal-size old-fashioned whittling magenta wool american watch\n(H) russian new whittling brown steel awful large car\n(I) rectangular filipino ancient typing indigo leather nice tiny cup\n(J) new driving green paper ridiculous big bowl\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:067", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) good umbrella (2) new plate (3) enormous dog (4) indigo brand-new key (5) cardboard flower pot (6) awful rubber book (7) repulsive fork (8) terrible bicycle (9) bangladeshi large toolbox (10) violet shoe (11) german massive scissors (12) square table (13) circular snorkeling marker (14) silly rubber bed (15) nigerian small plate (16) huge drill (17) russian small canvas (18) snorkeling marker (19) circular driving pen (20) cardboard fork (21) big hat (22) spherical saw (23) ridiculous wool car (24) green car (25) spherical hiking bowl (26) terrible stapler (27) ridiculous car key (28) square driving trash can (29) iron bird (30) nice apple (31) mysterious sunglasses (32) triangular marker (33) gray wrench (34) thai calculator (35) thai small bird (36) maroon new stapler (37) maroon umbrella (38) german spoon (39) indonesian car (40) pyramidal banana (41) hiking jar (42) triangular driving pen (43) brand-new fork (44) smoking cup (45) old-fashioned plate (46) large camera (47) rubber prismlike old saw (48) ancient speaker (49) good car (50) filipino enormous brush (51) iranian bird (52) teal old ring (53) obnoxious walking teal book (54) yellow old trash can (55) little banana (56) good pen (57) medium-size candle (58) old banana (59) red archaic shoe (60) fiberglass hammer (61) red banana (62) brand-new speaker (63) square vase (64) aqua old brush (65) rectangular driving ball (66) midsize bag (67) triangular eating clock (68) pyramidal ball (69) good wood box (70) drinking trash can (71) aqua ancient house (72) mysterious book (73) cardboard speaker (74) terrible steel toolbox (75) circular driving trash can (76) huge apple (77) silly cardboard apple (78) good cup (79) bangladeshi candle (80) japanese screwdriver (81) large screwdriver (82) obnoxious leather box\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) terrible paper triangular eating crimson new thai wrench\n(B) terrible wood pyramidal eating brown brand-new midsize chinese hat\n(C) silly iron square typing indigo new egyptian little box\n(D) little pakistani circular driving indigo old-fashioned wood nice vase\n(E) medium-size nigerian rectangular snorkeling maroon old-fashioned drill\n(F) silly plastic circular exercise maroon archaic tiny car key\n(G) pakistani small triangular snorkeling gray old wood jar\n(H) steel pyramidal walking red new little mexican stapler\n(I) good iron square snorkeling blue brand-new box\n(J) circular exercise maroon old nigerian huge guitar\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:072", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) triangular wallet (2) bangladeshi vase (3) archaic brazilian bicycle (4) archaic russian fire extinguisher (5) huge wrench (6) old filipino bag (7) snorkeling drill (8) new german spoon (9) rectangular canvas (10) wood ring (11) triangular box (12) exercise car (13) archaic hammer (14) smoking marker (15) brand-new hat (16) congolese drill (17) yellow wonderful dog (18) black lovely candle (19) hiking table (20) hiking normal-size ruler (21) ethiopian banana (22) normal-size house (23) thai marker (24) driving large marker (25) new bag (26) medium-size guitar (27) ancient ethiopian jar (28) thai ruler (29) ethiopian car key (30) old-fashioned congolese bag (31) old-fashioned brazilian toolbox (32) wool necklace (33) big vase (34) typing sunglasses (35) spherical ruler (36) indian chair (37) square house (38) gray ridiculous cup (39) hiking cup (40) indigo silly screwdriver (41) new american wrench (42) walking necklace (43) wool banana (44) paper fire extinguisher (45) indonesian marker (46) pyramidal lamp (47) hiking massive shoe (48) driving normal-size sunglasses (49) yellow lovely sofa (50) old-fashioned bangladeshi necklace (51) brown box (52) pakistani jar (53) glass brush (54) triangular steel fork (55) pink hat (56) square apple (57) old-fashioned key (58) american plate (59) teal awful screwdriver (60) circular screwdriver (61) fiberglass necklace (62) archaic filipino hat (63) plastic hammer (64) walking huge bird (65) awful fire extinguisher (66) ancient box (67) archaic brazilian earring (68) ridiculous bicycle (69) pyramidal paper piano (70) rectangular bottle (71) normal-size spoon (72) steel calculator (73) old-fashioned russian key (74) walking spoon (75) driving piano (76) old-fashioned indian ring (77) repulsive shirt (78) awful fork (79) old filipino car (80) paper candle (81) ancient indian cup (82) white bottle (83) wool cup (84) huge stapler (85) rectangular trash can (86) prismlike cloth car key (87) ridiculous necklace (88) pyramidal trash can (89) obnoxious fire extinguisher (90) smoking scissors (91) snorkeling normal-size pen (92) driving normal-size wallet (93) driving canvas (94) snorkeling earring (95) old-fashioned knife (96) ridiculous trash can (97) tiny scissors (98) indigo scissors (99) typing large stapler (100) old shirt (101) huge screwdriver (102) circular ring (103) teal wool old-fashioned watch (104) snorkeling massive jar (105) black lovely scissors (106) triangular leather necklace (107) ancient marker (108) brand-new nigerian canvas (109) ancient filipino cup (110) small piano (111) russian bird (112) drinking large box (113) hiking medium-size flower pot (114) hiking huge necklace (115) snorkeling wrench (116) enormous dog (117) small scissors (118) old flower pot (119) cyan nice bottle (120) crimson speaker (121) black chair (122) awful vase (123) spherical fiberglass fork (124) russian key (125) pakistani watch (126) glass necklace (127) steel fire extinguisher (128) exercise big hammer (129) awful key (130) maroon awful guitar (131) archaic vase (132) snorkeling sofa (133) smoking massive book (134) pyramidal wood sofa (135) rectangular pencil (136) eating shirt (137) lovely watch (138) old bicycle (139) chinese canvas (140) turkish car key (141) new screwdriver (142) spherical wood ring (143) drinking guitar (144) cloth canvas (145) aqua obnoxious fire extinguisher (146) triangular paper car key (147) terrible pyramidal filipino scissors (148) ridiculous toolbox (149) exercise plate\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) terrible prismlike wool brand-new bangladeshi typing large screwdriver\n(B) driving small rectangular leather brand-new chinese silly crimson plier\n(C) enormous exercise triangular glass old bangladeshi terrible pink fire extinguisher\n(D) indigo obnoxious spherical leather ancient vietnamese hammer\n(E) nice circular rubber ancient filipino normal-size hiking toolbox\n(F) eating normal-size circular wood old turkish terrible guitar\n(G) smoking huge rectangular plastic ancient german ring\n(H) brown awful rectangular wood brand-new indonesian driving enormous pen\n(I) tiny whittling pyramidal wood old german mysterious hat\n(J) huge rectangular plastic archaic russian nice teal toolbox\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:078", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) normal-size vietnamese fire extinguisher (2) ancient mysterious umbrella (3) huge brazilian marker (4) gray plate (5) indonesian toolbox (6) rectangular apple (7) indigo prismlike scissors (8) medium-size fire extinguisher (9) little dog (10) drinking candle (11) thai piano (12) midsize guitar (13) rectangular stapler (14) pink spoon (15) iron knife (16) spherical marker (17) ancient dog (18) lovely key (19) bangladeshi ruler (20) midsize spoon (21) yellow mexican old-fashioned candle (22) pink shirt (23) blue screwdriver (24) normal-size chair (25) brown lamp (26) yellow bicycle (27) huge bangladeshi sunglasses (28) chinese sunglasses (29) massive american flower pot (30) rectangular table (31) crimson circular ruler (32) rubber earring (33) magenta square camera (34) whittling candle (35) rubber plier (36) black necklace (37) old-fashioned terrible hammer (38) driving iron bag (39) normal-size stapler (40) little banana (41) midsize bangladeshi candle (42) steel ring (43) huge bangladeshi watch (44) ancient awful flower pot (45) archaic silly car (46) snorkeling fork (47) aqua piano (48) large pakistani plier (49) silly umbrella (50) iron ring (51) huge german wrench (52) obnoxious scissors (53) maroon circular drill (54) new hat (55) triangular knife (56) mexican wrench (57) typing glass canvas (58) new lovely earring (59) normal-size german sunglasses (60) magenta bottle (61) brown scissors (62) chinese bag (63) small filipino key (64) whittling rubber car (65) old plate (66) drinking hammer (67) huge thai pen (68) indian fork (69) pyramidal wrench (70) steel chair (71) archaic wrench (72) turkish calculator (73) blue spherical ball (74) glass bird (75) ancient watch (76) gray circular knife (77) large nigerian pencil (78) cloth knife (79) tiny thai bag (80) snorkeling leather spoon (81) tiny car (82) red spherical bird (83) teal triangular sunglasses (84) fiberglass ruler (85) little earring (86) pink prismlike trash can (87) fiberglass earring (88) archaic good marker (89) old terrible hat (90) midsize piano (91) large watch (92) rubber bird (93) awful shoe (94) white pen (95) awful bicycle (96) snorkeling rubber flower pot (97) enormous russian screwdriver (98) maroon triangular jar (99) ancient umbrella (100) thai shirt (101) prismlike wrench (102) enormous brazilian apple (103) obnoxious key (104) teal rectangular canvas (105) walking steel necklace (106) driving glass speaker (107) black fork (108) old dog (109) massive vase (110) triangular dog (111) walking hat (112) little egyptian hat (113) hiking wood marker (114) old ridiculous sofa (115) japanese jar (116) ancient terrible shirt (117) old lovely wrench (118) fiberglass drill (119) old mysterious car key (120) exercise camera (121) nigerian clock (122) driving fiberglass car key (123) typing key (124) green pyramidal shirt (125) indigo fire extinguisher (126) old bag (127) wool pen (128) ancient good dog (129) huge pakistani drill (130) small brazilian house (131) mysterious piano (132) yellow sunglasses (133) spherical hat (134) tiny car key (135) japanese spoon (136) ancient box (137) enormous ring (138) iranian necklace (139) large sunglasses (140) turkish bowl (141) crimson brush (142) indonesian hammer (143) wonderful banana (144) eating iron speaker (145) square big silly guitar (146) exercise wood lamp (147) eating cup (148) white pyramidal jar (149) tiny chair (150) steel toolbox (151) walking guitar (152) ancient mysterious fork (153) plastic scissors (154) mexican shirt (155) terrible marker (156) old sofa (157) brown prismlike watch (158) leather pen (159) medium-size pencil (160) good speaker (161) brand-new wonderful bird (162) indonesian wrench (163) yellow ring (164) archaic nice table (165) crimson saw (166) whittling car (167) exercise bicycle (168) violet flower pot (169) blue bag (170) thai dog (171) russian candle (172) indonesian hat (173) archaic jar (174) archaic obnoxious wrench (175) driving wood saw (176) drinking box (177) magenta circular banana (178) brand-new dog (179) small cup (180) aqua saw (181) brand-new scissors (182) walking table (183) enormous vietnamese saw (184) archaic ball (185) small shirt (186) terrible box (187) enormous turkish piano (188) hiking sofa (189) aqua pyramidal fire extinguisher (190) drinking wool brush (191) bangladeshi wallet (192) typing cup (193) driving wood sunglasses (194) obnoxious knife (195) green bowl (196) cardboard bird (197) glass hat (198) huge bird (199) huge jar (200) pakistani spoon (201) eating fiberglass ring (202) midsize iranian trash can (203) rubber shoe (204) rubber box (205) fiberglass fire extinguisher (206) tiny pakistani chair (207) walking plastic bird (208) white square box (209) black wrench (210) brand-new ridiculous piano (211) small bird (212) new ridiculous ball\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) paper walking large bangladeshi new awful sunglasses\n(B) driving cardboard enormous pakistani new mysterious marker\n(C) red pyramidal big chinese archaic good knife\n(D) plastic smoking tiny german new good square gray shoe\n(E) brown rectangular huge ethiopian archaic nice cloth apple\n(F) drinking leather enormous egyptian old awful triangular bottle\n(G) large pakistani old-fashioned repulsive plastic snorkeling spoon\n(H) wool walking small bangladeshi new nice spherical trash can\n(I) iron huge iranian old lovely spherical green speaker\n(J) triangular tiny american brand-new terrible fiberglass drinking hammer\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:081", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) congolese shirt (2) steel saw (3) congolese exercise key (4) hiking drill (5) cyan spherical bicycle (6) typing key (7) triangular box (8) old-fashioned little saw (9) old tiny calculator (10) old little piano (11) terrible bowl (12) german snorkeling vase (13) driving canvas (14) ancient house (15) spherical canvas (16) midsize canvas (17) small brush (18) lovely earring (19) snorkeling knife (20) triangular wrench (21) driving bicycle (22) brazilian driving candle (23) ancient guitar (24) turkish plate (25) brand-new huge car (26) prismlike banana (27) glass small green plate (28) maroon hat (29) aqua rectangular book (30) prismlike dog (31) brazilian whittling camera (32) indian shirt (33) wool saw (34) walking toolbox (35) ancient plier (36) small apple (37) small box (38) old huge banana (39) cyan circular table (40) ancient huge marker (41) black triangular hat (42) thai typing box (43) whittling scissors (44) mysterious necklace (45) snorkeling ball (46) rubber nice saw (47) spherical spoon (48) obnoxious new circular drill (49) ancient plate (50) repulsive canvas (51) aqua triangular vase (52) eating bag (53) cardboard good book (54) brand-new big bowl (55) paper fire extinguisher (56) wool necklace (57) old marker (58) ancient car key (59) obnoxious key (60) aqua speaker (61) exercise sunglasses (62) ridiculous scissors (63) driving key (64) fiberglass hat (65) huge trash can (66) rectangular piano (67) teal triangular ball (68) paper plier (69) driving screwdriver\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) old-fashioned medium-size teal rectangular russian snorkeling sunglasses\n(B) snorkeling mexican archaic little maroon pyramidal wonderful canvas\n(C) smoking brand-new small yellow rectangular good cardboard saw\n(D) cloth nice new enormous crimson pyramidal sofa\n(E) pakistani eating ancient small pink prismlike terrible plastic shoe\n(F) wool ridiculous brand-new midsize white triangular american spoon\n(G) cloth awful old-fashioned medium-size blue rectangular drinking wrench\n(H) russian smoking new small pink square guitar\n(I) smoking american old little magenta spherical hat\n(J) nice new large blue spherical driving chinese bed\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:082", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) massive magenta camera (2) obnoxious hammer (3) cloth bag (4) brown banana (5) typing saw (6) violet cup (7) normal-size chair (8) steel vietnamese lamp (9) plastic bed (10) square drill (11) american earring (12) old jar (13) glass camera (14) german pencil (15) snorkeling prismlike brush (16) plastic turkish clock (17) midsize green calculator (18) archaic table (19) nice dog (20) violet speaker (21) glass ethiopian stapler (22) yellow saw (23) terrible earring (24) new lovely bed (25) paper egyptian stapler (26) glass ruler (27) paper book (28) massive earring (29) cyan hammer (30) normal-size green lamp (31) smoking circular flower pot (32) new good guitar (33) rubber ethiopian guitar (34) indigo brush (35) leather spoon (36) hiking square screwdriver (37) steel russian umbrella (38) ancient ridiculous sofa (39) circular necklace (40) small gray guitar (41) archaic wrench (42) enormous cyan bag (43) drinking umbrella (44) spherical bag (45) square midsize indonesian wallet (46) small screwdriver (47) triangular scissors (48) old-fashioned lamp (49) vietnamese stapler (50) rubber thai toolbox (51) terrible ruler (52) small magenta banana (53) midsize violet watch (54) leather bottle (55) normal-size ruler (56) small crimson banana (57) cardboard key (58) nice scissors (59) leather knife (60) indian piano (61) typing brown wood umbrella (62) brand-new ridiculous sofa (63) enormous ring (64) glass russian watch (65) old wonderful chair (66) glass lamp (67) vietnamese toolbox (68) egyptian guitar (69) wonderful plate (70) leather watch\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) old awful enormous teal plastic filipino pyramidal trash can\n(B) ancient mysterious huge maroon cardboard vietnamese shoe\n(C) hiking triangular medium-size aqua plastic mexican ridiculous brand-new hat\n(D) eating square midsize maroon leather thai old-fashioned piano\n(E) obnoxious archaic massive gray cardboard brazilian dog\n(F) old nice little teal iron congolese pyramidal drinking key\n(G) ridiculous ancient small blue plastic pakistani circular smoking box\n(H) walking rectangular little aqua steel congolese archaic awful plate\n(I) exercise rectangular little pink leather nigerian candle\n(J) ridiculous brand-new large brown cardboard pakistani circular jar\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:083", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) huge box (2) pakistani bed (3) yellow pen (4) circular shirt (5) silly stapler (6) driving gray umbrella (7) ethiopian wallet (8) archaic candle (9) prismlike drill (10) enormous guitar (11) cyan lamp (12) repulsive watch (13) mysterious candle (14) silly russian banana (15) steel fork (16) filipino bird (17) wonderful umbrella (18) archaic banana (19) old-fashioned car (20) brand-new glass canvas (21) typing yellow ruler (22) typing house (23) spherical camera (24) red earring (25) square clock (26) triangular tiny dog (27) repulsive vietnamese lamp (28) whittling cyan key (29) spherical speaker (30) ancient iron chair (31) driving wrench (32) silly chinese trash can (33) nice umbrella (34) hiking pink apple (35) lovely german sofa (36) rubber apple (37) prismlike small bottle (38) wood speaker (39) driving dog (40) terrible wrench (41) ancient leather knife (42) mexican vase (43) wonderful nigerian toolbox (44) ancient chair (45) nice candle (46) prismlike medium-size guitar (47) new glass bicycle (48) square massive screwdriver (49) spherical small dog (50) glass wonderful gray wallet (51) violet hat (52) nice plate (53) obnoxious indian dog (54) walking gray bowl (55) tiny spoon (56) indigo stapler (57) lovely egyptian bird (58) pyramidal midsize camera (59) mysterious earring (60) archaic leather banana (61) obnoxious saw (62) rubber plier (63) smoking clock (64) new glass bag (65) triangular large guitar (66) driving blue necklace (67) large saw (68) rectangular earring (69) tiny ball (70) congolese bed (71) eating brown book (72) mysterious russian wrench (73) mysterious mexican ring (74) good table (75) archaic apple (76) awful car key (77) old paper earring (78) archaic lamp (79) large necklace (80) glass bag (81) medium-size plate (82) cardboard ruler (83) wool stapler (84) pyramidal marker (85) old-fashioned paper plate (86) repulsive bangladeshi canvas (87) old rubber screwdriver (88) spherical knife (89) old-fashioned drill (90) snorkeling bag (91) circular dog (92) square tiny brush (93) rectangular enormous table (94) pyramidal massive car key (95) nigerian shirt (96) lovely wrench (97) old-fashioned plastic toolbox (98) circular apple (99) smoking maroon sunglasses (100) pyramidal medium-size key (101) spherical piano (102) archaic cardboard pencil (103) congolese fork (104) green shoe (105) silly watch (106) brand-new cardboard marker (107) circular normal-size saw (108) hiking pink wallet (109) mysterious key (110) iranian screwdriver (111) iron book (112) good ethiopian car (113) ethiopian umbrella (114) brand-new fork (115) lovely fork (116) new toolbox (117) terrible camera (118) terrible necklace (119) indonesian flower pot (120) repulsive turkish trash can (121) obnoxious congolese fork (122) pakistani stapler (123) cardboard chair (124) good hat (125) vietnamese flower pot (126) silly chinese earring (127) silly german plate (128) hiking guitar (129) triangular midsize candle (130) archaic shoe (131) walking blue key (132) green bicycle (133) rectangular midsize ring (134) green knife (135) triangular drill (136) plastic brush (137) midsize saw (138) massive saw (139) prismlike spoon (140) violet bird (141) crimson shoe (142) indonesian brush (143) archaic russian hiking chair (144) archaic hammer (145) iron car (146) big calculator (147) blue bird (148) new hat (149) circular car (150) walking red pencil (151) mysterious congolese hat (152) brand-new hammer (153) silly ethiopian candle (154) fiberglass shoe (155) crimson bottle (156) snorkeling clock (157) new bird (158) midsize stapler (159) triangular enormous car key (160) egyptian bottle (161) exercise black bicycle (162) eating red hat (163) rubber table (164) congolese piano (165) pink toolbox (166) red lamp (167) pink sunglasses (168) wonderful indonesian fire extinguisher (169) paper table (170) pyramidal massive sunglasses (171) repulsive russian watch (172) japanese watch (173) whittling stapler (174) circular enormous bag (175) driving hat (176) circular midsize hammer (177) lovely watch (178) wonderful filipino plate (179) eating green bowl (180) smoking brown plier (181) nice mexican shoe (182) black ball (183) mysterious american ring (184) new screwdriver (185) indian piano (186) little box (187) cardboard sofa (188) wonderful japanese hat (189) white marker (190) awful indian table (191) obnoxious thai table (192) pyramidal hammer (193) paper flower pot (194) silly pakistani bicycle (195) spherical midsize bowl (196) terrible fork (197) awful drill (198) american fork (199) pyramidal wrench (200) circular knife (201) enormous book (202) old-fashioned sunglasses (203) pink banana (204) eating fork (205) brown sofa (206) old chair (207) exercise marker (208) wonderful stapler\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) obnoxious nigerian walking indigo pyramidal medium-size car\n(B) little prismlike awful iranian smoking white bed\n(C) old steel obnoxious thai driving aqua box\n(D) old-fashioned plastic obnoxious brazilian drinking violet midsize spherical pen\n(E) rectangular small ridiculous nigerian snorkeling blue fiberglass ancient hat\n(F) wool silly vietnamese whittling cyan square enormous dog\n(G) old cloth repulsive iranian snorkeling magenta medium-size marker\n(H) large rectangular ridiculous pakistani exercise indigo leather bowl\n(I) circular ridiculous brazilian exercise yellow cloth brand-new brush\n(J) brand-new plastic repulsive brazilian eating violet prismlike midsize bed\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:085", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) new filipino flower pot (2) prismlike banana (3) nice bicycle (4) steel brush (5) archaic earring (6) blue drill (7) obnoxious bird (8) blue car key (9) exercise little pen (10) spherical hat (11) brown ring (12) old turkish ring (13) archaic book (14) walking huge box (15) mysterious triangular table (16) pyramidal dog (17) archaic brazilian banana (18) ancient egyptian necklace (19) whittling large car (20) drinking big dog (21) old fire extinguisher (22) american necklace (23) midsize pen (24) brand-new mexican saw (25) pakistani lamp (26) walking house (27) nice screwdriver (28) big earring (29) eating large bottle (30) thai watch (31) silly circular sofa (32) wonderful red brand-new trash can (33) lovely prismlike flower pot (34) awful clock (35) blue ruler (36) gray brush (37) prismlike chair (38) old filipino spoon (39) leather indigo watch (40) mysterious car key (41) leather black house (42) medium-size ring (43) old-fashioned bangladeshi saw (44) old nigerian marker (45) iron watch (46) smoking bowl (47) aqua sunglasses (48) awful speaker (49) midsize plate (50) drinking big spoon (51) leather green box (52) silly table (53) mysterious calculator (54) walking large bed (55) smoking small apple (56) wonderful rectangular plate (57) repulsive scissors (58) triangular toolbox (59) thai canvas (60) prismlike ring (61) whittling speaker (62) mexican bag (63) new brush (64) smoking key (65) ancient hat (66) drinking huge toolbox (67) terrible clock (68) good ring (69) lovely ring (70) drinking hammer (71) steel bicycle (72) ridiculous square stapler (73) rectangular trash can (74) wonderful car (75) cloth yellow banana (76) egyptian banana (77) spherical cloth vietnamese fork (78) mexican pencil (79) exercise big trash can (80) pyramidal trash can (81) red bird (82) iron shirt (83) awful prismlike screwdriver (84) circular bottle (85) normal-size bicycle (86) iron brush (87) japanese bed (88) awful drill (89) blue book (90) drinking huge calculator (91) old-fashioned german pencil (92) filipino plate (93) yellow apple (94) wood teal car (95) brand-new pakistani toolbox (96) plastic lamp (97) steel white hat (98) tiny dog (99) pakistani apple (100) teal sunglasses (101) old russian house (102) nice apple (103) nice circular shirt (104) hiking huge screwdriver (105) plastic gray bicycle (106) drinking bottle (107) egyptian flower pot (108) triangular necklace (109) lovely wallet (110) fiberglass bed (111) old german necklace (112) wood black clock (113) cloth blue speaker (114) large marker (115) drinking shoe (116) terrible rectangular plate (117) small watch (118) brand-new wallet (119) wool crimson cup (120) big bowl (121) wonderful rectangular drill (122) cyan apple (123) ancient japanese chair (124) hiking pencil (125) fiberglass teal clock (126) normal-size chair (127) smoking fire extinguisher (128) maroon vase (129) old-fashioned german brush (130) whittling toolbox (131) nice pyramidal banana (132) green cup (133) midsize house (134) mexican marker (135) cloth green bed (136) medium-size ball (137) paper bicycle (138) paper maroon knife (139) walking cup (140) awful knife (141) rectangular shirt (142) cloth fork (143) nice spherical pen (144) driving box (145) typing little bicycle (146) tiny scissors (147) spherical plier (148) glass earring (149) iranian calculator (150) green plate (151) smoking massive pen (152) egyptian lamp (153) ethiopian stapler (154) leather cup (155) leather violet earring (156) cyan spoon (157) good lamp (158) wonderful rectangular bicycle (159) enormous trash can (160) square car (161) glass violet brush (162) silly circular sunglasses (163) cardboard cyan stapler (164) rectangular stapler (165) mysterious circular umbrella (166) pyramidal stapler (167) repulsive camera (168) white drill (169) pakistani sunglasses (170) white hat (171) plastic red knife (172) tiny bowl (173) whittling book (174) cyan dog (175) turkish brush (176) teal calculator (177) archaic indian bottle (178) indigo stapler (179) mysterious circular bowl (180) eating spoon (181) good shoe (182) aqua book (183) circular house (184) large brush (185) old-fashioned iranian scissors (186) iron gray ring (187) whittling normal-size earring (188) medium-size hammer (189) fiberglass cyan chair (190) indigo watch (191) archaic table (192) glass blue drill (193) black ball (194) rubber black shirt (195) exercise bottle\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) leather cyan ancient congolese whittling midsize car key\n(B) glass violet old russian midsize drinking camera\n(C) small typing fiberglass maroon brand-new congolese rectangular lovely scissors\n(D) enormous hiking glass black old japanese camera\n(E) silly pyramidal fiberglass violet new vietnamese huge piano\n(F) drinking normal-size paper brown archaic american circular good fork\n(G) silly circular rubber crimson archaic indian marker\n(H) obnoxious square fiberglass brown old-fashioned iranian hiking little calculator\n(I) massive exercise cloth green old-fashioned thai triangular plier\n(J) medium-size steel aqua ancient ethiopian triangular obnoxious screwdriver\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:087", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) spherical umbrella (2) fiberglass dog (3) leather bed (4) pink glass box (5) cardboard pen (6) cloth bowl (7) vietnamese screwdriver (8) old-fashioned drill (9) terrible hiking bird (10) old plate (11) square wallet (12) white necklace (13) ancient rectangular watch (14) old car key (15) prismlike car key (16) glass candle (17) walking car key (18) normal-size american wallet (19) terrible book (20) massive indonesian knife (21) brand-new triangular watch (22) iranian guitar (23) new spherical bed (24) ancient bicycle (25) blue driving huge cup (26) brand-new watch (27) little vietnamese bottle (28) brand-new car key (29) archaic banana (30) glass umbrella (31) midsize brazilian ball (32) nice exercise key (33) japanese camera (34) new key (35) cloth jar (36) american house (37) terrible smoking earring (38) paper banana (39) driving earring (40) pink lamp (41) leather chair (42) red cardboard earring (43) cyan watch (44) big apple (45) square marker (46) old-fashioned rectangular clock (47) ridiculous sunglasses (48) small ring (49) maroon pen (50) old square book (51) cyan fiberglass jar (52) iranian camera (53) rectangular umbrella (54) paper watch (55) green plastic sofa (56) teal car key (57) good snorkeling bicycle (58) crimson banana (59) ancient candle (60) white marker (61) normal-size filipino plate (62) archaic pyramidal box (63) nice canvas (64) indonesian bottle (65) enormous turkish earring (66) ridiculous key (67) small pencil (68) normal-size german scissors (69) archaic rectangular fire extinguisher (70) ancient car key (71) repulsive eating bird (72) nice typing shirt (73) brand-new circular ring (74) lovely typing camera (75) spherical plier (76) old-fashioned triangular clock (77) mysterious driving canvas (78) repulsive whittling spoon (79) new spoon (80) white box (81) steel hammer (82) wonderful sunglasses (83) brazilian camera (84) rubber table (85) wool speaker (86) ridiculous hiking piano (87) snorkeling sofa (88) leather trash can (89) plastic wonderful mexican knife (90) gray plate (91) new saw (92) cloth house (93) circular plate (94) pyramidal guitar (95) indigo glass spoon (96) plastic watch (97) black screwdriver (98) indigo key (99) filipino bird (100) hiking apple (101) brand-new spherical drill (102) exercise fire extinguisher (103) normal-size pakistani bird (104) pyramidal scissors (105) silly apple (106) drinking saw (107) midsize thai bed (108) glass book (109) rubber shirt (110) thai sofa (111) wood marker (112) square banana (113) enormous iranian candle (114) black speaker (115) terrible calculator (116) big congolese bag (117) pyramidal candle (118) normal-size bangladeshi fork (119) paper ruler (120) green steel clock (121) obnoxious snorkeling table (122) gray table (123) rubber umbrella (124) maroon banana (125) pyramidal clock (126) ancient prismlike pen (127) red glass apple (128) pyramidal sofa (129) exercise bottle (130) good plier (131) pink car key\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) square ancient silly whittling medium-size german iron black cup\n(B) blue fiberglass ridiculous drinking midsize chinese new hat\n(C) mysterious snorkeling midsize pakistani new circular drill\n(D) old rectangular repulsive eating enormous congolese shoe\n(E) steel good exercise small egyptian ancient circular piano\n(F) paper wonderful snorkeling enormous japanese pyramidal ancient vase\n(G) new pyramidal mysterious typing huge indian steel yellow book\n(H) new lovely snorkeling tiny bangladeshi cardboard gray scissors\n(I) magenta iron wonderful walking tiny german table\n(J) pyramidal good eating enormous indian iron yellow hammer\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:091", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) nice prismlike trash can (2) good stapler (3) triangular drill (4) square plier (5) wood sunglasses (6) white iron stapler (7) silly triangular speaker (8) wood fork (9) iranian exercise camera (10) medium-size hat (11) american ruler (12) mysterious wrench (13) filipino scissors (14) steel piano (15) filipino drinking pencil (16) rectangular bicycle (17) white canvas (18) prismlike wallet (19) ancient flower pot (20) ancient marker (21) white wood canvas (22) silly rectangular candle (23) white ring (24) midsize new flower pot (25) wonderful pyramidal bottle (26) old necklace (27) blue wood plier (28) awful triangular brush (29) filipino canvas (30) egyptian bed (31) pyramidal saw (32) yellow cloth key (33) pyramidal clock (34) normal-size ancient watch (35) obnoxious pyramidal cup (36) cardboard car key (37) rectangular guitar (38) old stapler (39) wool bowl (40) indian whittling screwdriver (41) nice apple (42) small old-fashioned jar (43) wonderful pyramidal car (44) small earring (45) blue wood lamp (46) spherical box (47) filipino whittling banana (48) big ancient marker (49) circular speaker (50) thai brand-new nice marker (51) hiking ball (52) eating necklace (53) green glass speaker (54) snorkeling box (55) exercise jar (56) tiny archaic vase (57) green lamp (58) brazilian smoking knife (59) brand-new bird (60) massive new knife (61) gray speaker (62) old cup (63) big flower pot (64) violet dog (65) white flower pot (66) american eating ring (67) silly sunglasses (68) circular guitar (69) teal cloth flower pot (70) big old shoe (71) green leather fire extinguisher (72) red paper sunglasses (73) indigo iron clock (74) pyramidal stapler (75) rectangular book (76) small new banana (77) turkish typing ball (78) enormous brush (79) cloth car (80) turkish smoking stapler (81) japanese bed (82) good spherical marker (83) whittling earring (84) gray fiberglass brush (85) silly triangular camera (86) awful bird (87) japanese eating piano (88) square calculator (89) ridiculous spherical vase (90) small necklace (91) exercise pen (92) repulsive prismlike earring (93) lovely rectangular spoon (94) ridiculous rectangular knife (95) maroon knife (96) pakistani drinking jar (97) indonesian drinking camera (98) silly prismlike table (99) white fiberglass bowl (100) mexican whittling apple (101) silly table (102) nigerian jar (103) driving vase (104) chinese key (105) new candle (106) white knife (107) yellow plier (108) brand-new hammer (109) cyan iron bicycle (110) violet cardboard bottle (111) square apple (112) spherical spoon (113) congolese lamp (114) iranian whittling ruler (115) brazilian typing apple (116) prismlike pen (117) black canvas (118) chinese walking vase (119) white bag (120) chinese camera (121) silly shoe (122) tiny brand-new speaker (123) filipino clock (124) american umbrella (125) walking house (126) pakistani smoking wrench (127) normal-size bottle (128) yellow apple (129) driving ruler (130) lovely bicycle (131) walking key (132) plastic marker (133) pyramidal toolbox (134) enormous ancient ball (135) fiberglass toolbox (136) smoking plate (137) drinking little square watch (138) plastic apple (139) typing necklace (140) magenta rubber key (141) black clock (142) russian fire extinguisher (143) new sunglasses (144) massive ancient necklace (145) archaic bicycle (146) mysterious rectangular key (147) archaic canvas (148) indian snorkeling saw (149) big archaic scissors (150) magenta leather book (151) good square sunglasses (152) congolese toolbox (153) ethiopian key (154) tiny screwdriver (155) leather earring (156) exercise shoe (157) tiny old-fashioned house (158) pakistani earring (159) egyptian hiking lamp (160) eating marker (161) drinking piano (162) cloth bicycle (163) typing drill (164) ancient key (165) typing bottle (166) snorkeling ring (167) new ruler (168) yellow table (169) old-fashioned watch (170) wonderful car (171) lovely square apple (172) typing flower pot (173) green key (174) large archaic stapler (175) brand-new plate (176) gray wool knife (177) rectangular canvas (178) german sunglasses (179) tiny brand-new pencil (180) drinking pen (181) old-fashioned bird (182) gray steel banana (183) glass candle (184) yellow scissors (185) plastic umbrella (186) nigerian eating fire extinguisher (187) small table (188) old-fashioned car (189) archaic shoe (190) leather stapler (191) cloth trash can (192) old ring (193) triangular lamp (194) wool ring (195) obnoxious bicycle (196) cyan rubber sunglasses (197) awful square table (198) glass vase (199) black banana (200) american fork (201) black toolbox (202) fiberglass house (203) smoking calculator\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) mexican driving midsize new wonderful pyramidal maroon cloth sofa\n(B) fiberglass yellow midsize new silly square banana\n(C) indonesian whittling tiny brand-new terrible prismlike plastic red lamp\n(D) thai typing small archaic obnoxious triangular wood knife\n(E) hiking normal-size new mysterious square pink wood screwdriver\n(F) american hiking large old-fashioned mysterious rectangular necklace\n(G) cyan cardboard massive old-fashioned lovely triangular speaker\n(H) huge new terrible triangular wood black apple\n(I) yellow plastic huge ancient nice rectangular walking ruler\n(J) glass black massive brand-new awful square smoking candle\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:092", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) lovely screwdriver (2) drinking square plier (3) normal-size fork (4) russian plastic necklace (5) ridiculous green screwdriver (6) hiking sunglasses (7) ancient ruler (8) hiking spherical brush (9) new watch (10) mysterious umbrella (11) old-fashioned bird (12) white screwdriver (13) brazilian hat (14) new huge ruler (15) wool sunglasses (16) teal stapler (17) rectangular speaker (18) black wrench (19) steel speaker (20) spherical plate (21) snorkeling necklace (22) big trash can (23) typing ruler (24) wonderful clock (25) exercise square toolbox (26) brand-new box (27) glass dog (28) small bag (29) old huge jar (30) nice shoe (31) ridiculous brown canvas (32) new ball (33) triangular candle (34) drinking square hat (35) terrible blue bicycle (36) old-fashioned clock (37) ancient bottle (38) good car (39) red watch (40) drinking circular shirt (41) pyramidal vase (42) snorkeling square chair (43) terrible banana (44) wood bag (45) walking prismlike cup (46) yellow wrench (47) obnoxious table (48) triangular bag (49) russian clock (50) old-fashioned lamp (51) pakistani fire extinguisher (52) mysterious crimson ruler (53) old big cup (54) american cardboard pencil (55) ancient normal-size hat (56) gray knife (57) medium-size fire extinguisher (58) cloth hammer (59) rectangular vase (60) enormous car key (61) smoking circular jar (62) mexican cloth fork (63) smoking house (64) prismlike earring (65) ethiopian fork (66) leather flower pot (67) silly canvas (68) eating spherical house (69) new bicycle (70) typing knife (71) rubber scissors (72) silly crimson scissors (73) exercise knife (74) rubber hiking yellow ruler (75) old massive candle (76) congolese chair (77) big candle (78) square vase (79) iranian house (80) iron jar (81) fiberglass stapler (82) teal apple (83) spherical wallet (84) obnoxious gray key (85) smoking pyramidal clock (86) egyptian bed (87) whittling vase (88) pakistani cardboard candle (89) old-fashioned massive fork (90) brand-new big cup (91) pyramidal hat (92) fiberglass calculator (93) cloth car (94) little lamp (95) plastic car key (96) lovely plate (97) terrible bird (98) old saw (99) magenta knife (100) terrible hammer (101) nice blue trash can (102) rubber guitar (103) indonesian bowl (104) brand-new trash can (105) whittling pyramidal scissors (106) obnoxious aqua necklace (107) awful gray key (108) walking shirt (109) nice aqua spoon (110) filipino hammer (111) indigo book (112) old-fashioned huge umbrella (113) large fire extinguisher (114) huge clock (115) new bottle (116) plastic chair (117) huge table (118) violet cup (119) archaic little car (120) whittling bottle (121) magenta shirt (122) red bottle (123) repulsive pink umbrella (124) filipino cloth cup (125) old bag (126) square earring (127) iranian hammer (128) triangular bicycle (129) rubber plier (130) ridiculous chair (131) eating sofa (132) terrible screwdriver (133) snorkeling spherical brush (134) snorkeling circular flower pot (135) wood guitar (136) thai wood wallet (137) obnoxious piano (138) brand-new vase (139) little sunglasses (140) german bag (141) iron bed (142) smoking shirt (143) normal-size plier (144) congolese plate (145) cardboard banana (146) eating pyramidal sofa (147) iranian plastic drill (148) nice car key (149) american plastic necklace (150) old medium-size ball (151) american pyramidal wonderful necklace (152) nice yellow bicycle (153) leather lamp (154) normal-size knife (155) german wool watch (156) circular spoon (157) crimson watch (158) paper sunglasses (159) terrible pink hat (160) little wrench (161) old little spoon (162) good black lamp (163) steel apple (164) american cloth apple (165) walking shoe (166) yellow bowl (167) egyptian plastic bag (168) drinking marker (169) wool scissors (170) hiking spherical shirt (171) russian marker\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) wood whittling prismlike nice teal midsize brand-new calculator\n(B) turkish glass smoking triangular terrible gray sofa\n(C) pakistani rubber smoking pyramidal ridiculous black small piano\n(D) leather driving circular repulsive white new little sofa\n(E) brazilian fiberglass whittling pyramidal wonderful maroon midsize old bicycle\n(F) small eating spherical repulsive brown cloth thai bird\n(G) japanese fiberglass hiking pyramidal wonderful pink new small watch\n(H) large ancient snorkeling prismlike mysterious aqua paper candle\n(I) old small drinking square mysterious yellow wool congolese sunglasses\n(J) archaic typing square obnoxious aqua paper indian plier\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:093", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) brand-new brush (2) prismlike lamp (3) small hammer (4) congolese car (5) walking filipino car (6) russian vase (7) normal-size canvas (8) ridiculous sunglasses (9) hiking flower pot (10) vietnamese car (11) mysterious aqua ruler (12) cyan scissors (13) wonderful bag (14) turkish saw (15) hiking sunglasses (16) good bed (17) cloth archaic apple (18) indigo toolbox (19) repulsive bed (20) bangladeshi banana (21) enormous driving aqua key (22) german calculator (23) typing filipino car (24) gray fire extinguisher (25) exercise thai bed (26) driving chinese speaker (27) nice violet chair (28) mysterious pencil (29) glass brand-new bowl (30) exercise pen (31) nice indigo banana (32) walking vietnamese shoe (33) crimson bag (34) wood new vase (35) prismlike thai repulsive bird (36) repulsive house (37) wonderful fire extinguisher (38) old-fashioned watch (39) wood ruler (40) pink bicycle (41) thai hat (42) wool wrench (43) indigo drill (44) hiking egyptian trash can (45) lovely box (46) pyramidal big shirt (47) steel screwdriver (48) little wallet (49) whittling egyptian marker (50) tiny guitar (51) lovely white canvas (52) massive clock (53) glass old sunglasses (54) walking nigerian trash can (55) medium-size watch (56) small bird\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) rubber old-fashioned smoking bangladeshi silly cyan bag\n(B) new cloth eating german wonderful aqua calculator\n(C) paper new walking thai lovely violet medium-size prismlike pencil\n(D) brand-new leather driving filipino ridiculous red large circular wrench\n(E) prismlike massive typing pakistani repulsive indigo steel ruler\n(F) prismlike midsize exercise pakistani silly brown bed\n(G) brand-new whittling american nice magenta midsize square dog\n(H) new wood exercise iranian wonderful black midsize marker\n(I) rectangular big eating egyptian nice maroon old shoe\n(J) tiny drinking vietnamese ridiculous yellow archaic steel screwdriver\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:096", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) thai shoe (2) white german wallet (3) steel midsize bowl (4) fiberglass normal-size box (5) drinking shirt (6) blue mexican apple (7) cloth bowl (8) iron piano (9) walking jar (10) russian wood triangular hat (11) pink key (12) cloth massive brush (13) rubber pencil (14) magenta knife (15) walking brand-new bag (16) walking canvas (17) lovely toolbox (18) hiking brand-new spoon (19) prismlike bag (20) rubber huge flower pot (21) vietnamese plate (22) mysterious hammer (23) cloth tiny drill (24) ethiopian spoon (25) old box (26) red indonesian key (27) little scissors (28) awful guitar (29) black pen (30) pink brazilian bag (31) mysterious pencil (32) obnoxious car key (33) walking dog (34) maroon thai speaker (35) medium-size fork (36) cardboard flower pot (37) wonderful spherical brush (38) violet japanese calculator (39) new dog (40) massive wallet (41) drinking archaic wallet (42) eating new piano (43) eating old-fashioned screwdriver (44) snorkeling knife (45) cloth big trash can (46) cyan pakistani vase (47) wood piano (48) hiking new calculator (49) driving old-fashioned trash can (50) maroon spoon (51) glass bottle (52) exercise canvas (53) blue german bird (54) wool big banana (55) terrible bird (56) walking old-fashioned car (57) magenta chair (58) new bird (59) obnoxious rectangular necklace (60) lovely banana (61) pink stapler (62) awful pyramidal car key (63) red large silly bed (64) brand-new car (65) awful triangular necklace (66) paper huge hat (67) large cup (68) spherical ruler (69) teal key (70) blue thai pencil (71) fiberglass shirt (72) indigo chair (73) archaic stapler (74) ancient necklace (75) walking sunglasses (76) rubber little dog (77) archaic watch (78) russian pencil (79) pink screwdriver (80) blue russian cup (81) cardboard medium-size shoe (82) eating brand-new clock (83) old bed (84) white speaker (85) walking camera (86) black thai car (87) smoking ancient dog (88) whittling car key (89) aqua cup (90) small ring (91) ancient banana (92) tiny necklace\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) old wool big repulsive triangular american maroon brush\n(B) hiking old steel large nice spherical car\n(C) smoking ancient plastic little silly prismlike german ring\n(D) ancient typing plastic huge mysterious prismlike calculator\n(E) maroon chinese fiberglass little repulsive spherical fork\n(F) turkish cloth massive mysterious spherical exercise old candle\n(G) wood tiny repulsive spherical brand-new snorkeling toolbox\n(H) smoking fiberglass tiny awful circular egyptian crimson candle\n(I) maroon japanese rubber normal-size repulsive prismlike driving bicycle\n(J) blue german fiberglass big silly spherical archaic typing hat\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:097", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) red circular cup (2) smoking brand-new flower pot (3) normal-size saw (4) magenta shirt (5) wool bottle (6) typing old wrench (7) square camera (8) drinking hammer (9) cardboard piano (10) plastic silly candle (11) driving new book (12) driving book (13) thai normal-size fire extinguisher (14) crimson square trash can (15) huge table (16) indian sofa (17) exercise shirt (18) walking brand-new dog (19) small toolbox (20) wool lovely vase (21) archaic knife (22) wood car key (23) hiking brand-new bird (24) walking speaker (25) walking umbrella (26) indigo circular canvas (27) wool flower pot (28) square rubber brand-new hammer (29) aqua square key (30) cyan bowl (31) silly jar (32) rectangular calculator (33) silly apple (34) large scissors (35) paper guitar (36) cloth bicycle (37) driving house (38) pyramidal key (39) prismlike book (40) snorkeling earring (41) glass jar (42) fiberglass terrible hammer (43) awful ruler (44) huge fork (45) brazilian big sofa (46) american stapler (47) large fork (48) huge drill (49) red rectangular screwdriver (50) ancient speaker (51) square apple (52) glass bed (53) square banana (54) cyan prismlike clock (55) thai guitar (56) gray apple (57) egyptian spoon (58) awful watch (59) maroon triangular pen (60) typing archaic wallet (61) plastic ridiculous car key (62) indigo spherical wallet (63) indigo spherical watch (64) new scissors (65) pink toolbox (66) wool chair (67) cloth wrench (68) russian scissors (69) green bag (70) yellow vase (71) ancient box (72) violet prismlike sunglasses (73) normal-size drill (74) russian medium-size hat (75) ethiopian marker (76) maroon circular canvas (77) paper terrible hat (78) large shoe (79) violet house (80) cloth toolbox (81) cloth car (82) green pen (83) driving ball (84) circular jar (85) hiking vase (86) brazilian table (87) snorkeling sofa (88) obnoxious jar (89) nice flower pot (90) russian fork (91) cloth flower pot (92) lovely speaker (93) fiberglass obnoxious marker (94) drinking old bottle (95) old-fashioned bottle (96) massive sofa (97) bangladeshi hammer (98) walking old trash can (99) circular piano (100) smoking ancient spoon (101) archaic hat (102) eating canvas (103) red square plier (104) pyramidal lamp (105) black dog (106) big car (107) wool bicycle (108) drinking guitar (109) aqua bicycle (110) old-fashioned bird (111) eating old-fashioned scissors (112) walking ancient box (113) tiny apple (114) rubber good pencil (115) chinese ring (116) wool awful speaker (117) drinking ancient saw (118) rectangular scissors (119) green stapler (120) pakistani little dog (121) mysterious calculator (122) black square pen (123) snorkeling stapler (124) steel marker (125) enormous spoon (126) chinese saw (127) congolese enormous trash can (128) brand-new shoe (129) wood book (130) thai apple (131) exercise archaic lamp (132) old-fashioned shirt (133) spherical jar (134) little shirt (135) pyramidal vase (136) square ruler (137) steel good bicycle (138) driving old-fashioned speaker (139) spherical trash can (140) new pen (141) typing shirt (142) midsize key (143) massive marker (144) magenta pyramidal camera (145) wood terrible dog (146) prismlike bed (147) spherical cup (148) cloth ridiculous earring (149) indonesian normal-size ball (150) driving old key (151) wonderful ruler (152) walking old clock (153) iron vase (154) thai house (155) ancient fire extinguisher (156) japanese necklace (157) crimson rectangular plate (158) brazilian normal-size plate (159) pyramidal trash can (160) mexican ball (161) smoking ball (162) archaic plier (163) cloth ridiculous hat (164) rectangular fork (165) archaic fire extinguisher (166) eating screwdriver (167) hiking brand-new speaker (168) hiking scissors (169) typing watch (170) smoking scissors (171) nigerian shoe (172) drinking knife (173) leather mysterious hat (174) smoking clock (175) ancient plate (176) whittling old-fashioned screwdriver (177) vietnamese big house (178) fiberglass mysterious pencil (179) glass knife (180) thai car key (181) yellow rectangular spoon (182) filipino small piano (183) steel wonderful flower pot (184) indian big fork (185) mysterious watch (186) massive pen (187) iron watch (188) cyan rectangular bird (189) wood saw (190) archaic chair (191) indonesian massive trash can (192) maroon necklace (193) paper ridiculous necklace (194) eating archaic apple (195) wonderful bowl (196) russian book (197) obnoxious bed (198) thai tiny fork (199) nigerian huge fork (200) typing brand-new brush (201) chinese medium-size box (202) large guitar (203) old-fashioned sunglasses (204) crimson spherical fork (205) steel banana (206) cyan plate (207) paper vase (208) black knife (209) enormous bowl (210) walking ball (211) japanese huge wrench (212) violet bottle (213) teal silly smoking plate (214) wool lovely flower pot (215) thai big piano\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) normal-size german paper obnoxious hiking new square crimson bag\n(B) pink prismlike leather terrible drinking new large saw\n(C) aqua triangular plastic mysterious typing new little japanese shoe\n(D) midsize iranian cloth mysterious driving ancient umbrella\n(E) rectangular glass ridiculous drinking old tiny japanese calculator\n(F) blue circular leather repulsive driving new chinese small necklace\n(G) large wood lovely eating ancient rectangular white wallet\n(H) chinese tiny fiberglass mysterious typing old-fashioned rectangular yellow brush\n(I) russian large rubber ridiculous typing old circular fire extinguisher\n(J) black spherical iron terrible walking new vase\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:102", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) chinese pen (2) small bangladeshi candle (3) awful clock (4) hiking bed (5) japanese ring (6) old-fashioned lamp (7) medium-size vietnamese plier (8) lovely drill (9) indonesian pen (10) red square fork (11) vietnamese chair (12) terrible glass pen (13) massive american saw (14) tiny indian sofa (15) violet canvas (16) cloth knife (17) large mexican clock (18) archaic speaker (19) walking piano (20) terrible cardboard marker (21) snorkeling brand-new book (22) huge indian bottle (23) normal-size mexican earring (24) cardboard ball (25) cyan marker (26) wonderful paper box (27) pyramidal toolbox (28) green prismlike trash can (29) little american pen (30) pyramidal midsize leather lamp (31) lovely cloth jar (32) tiny book (33) walking new fire extinguisher (34) normal-size candle (35) cloth ball (36) obnoxious bird (37) archaic clock (38) mysterious watch (39) enormous apple (40) wonderful sunglasses (41) mysterious screwdriver (42) wonderful plastic canvas (43) iron plier (44) fiberglass fire extinguisher (45) typing archaic car (46) nice screwdriver (47) pyramidal box (48) brown circular wallet (49) triangular canvas (50) brand-new car key (51) black vase (52) enormous bangladeshi pen (53) prismlike brush (54) brown calculator (55) aqua canvas (56) little banana (57) big fork (58) pyramidal bag (59) iranian lamp (60) aqua book (61) spherical dog (62) russian calculator (63) old apple (64) terrible shoe (65) ridiculous wool stapler (66) terrible cardboard guitar (67) walking brand-new jar (68) little russian canvas (69) obnoxious leather car key (70) wool bottle (71) ancient ruler (72) maroon rectangular table (73) teal table (74) huge filipino lamp (75) ridiculous glass bed (76) indigo japanese wonderful lamp (77) huge box (78) yellow triangular canvas (79) terrible cardboard wrench (80) indigo plier (81) blue shirt (82) crimson pyramidal candle (83) good wood plate (84) white triangular watch (85) eating archaic plier (86) cloth candle (87) lovely screwdriver (88) brand-new saw (89) mysterious drill (90) aqua bird (91) medium-size plier (92) hiking sofa (93) small book (94) silly iron drill (95) enormous wrench (96) whittling brand-new watch (97) large candle (98) obnoxious shirt (99) hiking old umbrella (100) normal-size bowl (101) ancient jar (102) hiking apple (103) paper calculator (104) eating old-fashioned stapler (105) typing ancient flower pot (106) indonesian camera (107) old-fashioned trash can (108) midsize book (109) iranian wallet (110) repulsive wood table (111) wonderful wool wallet (112) ancient umbrella (113) drinking new apple (114) gray pyramidal flower pot (115) ridiculous spoon (116) exercise old bag (117) spherical bowl (118) wood toolbox (119) glass plier (120) magenta canvas (121) maroon spherical shirt (122) blue umbrella (123) wonderful wool trash can (124) repulsive calculator (125) plastic spoon (126) russian wrench (127) lovely glass bag (128) rectangular necklace (129) circular shoe (130) whittling old car key (131) big ethiopian bowl (132) mexican clock (133) walking candle (134) vietnamese jar (135) paper clock (136) snorkeling jar (137) indonesian banana (138) brown pyramidal guitar (139) mysterious clock (140) eating shirt (141) triangular camera (142) good cardboard banana (143) gray rectangular trash can (144) old-fashioned shoe (145) prismlike bag (146) terrible wool shirt (147) small congolese guitar (148) little toolbox (149) pakistani sunglasses (150) magenta circular wrench (151) normal-size wallet (152) american key (153) rectangular hat (154) drinking wallet (155) snorkeling hat (156) terrible cardboard key (157) egyptian fire extinguisher (158) awful wood stapler (159) maroon circular watch (160) eating shoe (161) paper flower pot (162) tiny plier (163) hiking banana (164) ancient saw (165) mysterious pencil (166) chinese screwdriver (167) triangular ruler (168) awful umbrella (169) eating jar (170) awful paper car key (171) pyramidal camera (172) old bag (173) snorkeling old sofa (174) walking shirt\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) spherical medium-size japanese repulsive wood driving old clock\n(B) crimson circular small german lovely cloth whittling old-fashioned bottle\n(C) old hiking huge german wonderful wood vase\n(D) black triangular huge egyptian terrible leather ancient eating flower pot\n(E) small indonesian lovely cloth hiking new canvas\n(F) brand-new eating big iranian obnoxious fiberglass circular aqua speaker\n(G) exercise ancient medium-size iranian nice rubber circular white clock\n(H) exercise old-fashioned enormous american repulsive fiberglass car\n(I) magenta rectangular large turkish ridiculous cloth clock\n(J) prismlike tiny german terrible wool brand-new snorkeling toolbox\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:104", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) red chinese guitar (2) glass scissors (3) repulsive scissors (4) terrible archaic scissors (5) thai apple (6) rubber pencil (7) walking pen (8) typing dog (9) normal-size house (10) ancient sunglasses (11) violet german bag (12) big pyramidal sofa (13) thai flower pot (14) drinking plastic dog (15) wool brush (16) midsize drill (17) little flower pot (18) old smoking nigerian fork (19) black knife (20) black pakistani book (21) whittling cloth screwdriver (22) mysterious ancient brush (23) spherical jar (24) teal plate (25) small earring (26) whittling fiberglass calculator (27) old piano (28) hiking paper spoon (29) wonderful ring (30) enormous rectangular canvas (31) mysterious rubber maroon wallet (32) tiny spoon (33) prismlike pen (34) driving cardboard apple (35) plastic cup (36) smoking apple (37) russian speaker (38) silly ancient earring (39) silly key (40) little prismlike toolbox (41) aqua necklace (42) magenta indonesian sunglasses (43) eating camera (44) indonesian banana (45) ancient trash can (46) awful apple (47) nice sunglasses (48) midsize pyramidal knife (49) mexican bicycle (50) prismlike necklace (51) terrible old-fashioned screwdriver (52) brand-new flower pot (53) old marker (54) steel fork (55) nice necklace (56) archaic key (57) good ball (58) tiny bottle (59) nice dog (60) teal vietnamese marker (61) good old jar (62) american pen (63) enormous pyramidal bottle (64) turkish umbrella (65) indonesian ruler (66) mysterious brand-new house (67) lovely shoe (68) tiny knife (69) obnoxious calculator (70) old-fashioned pencil (71) terrible bicycle (72) awful brush (73) turkish jar (74) pyramidal wallet (75) old table (76) massive stapler (77) little circular vase (78) circular umbrella (79) german bag (80) old-fashioned pen (81) old screwdriver (82) eating banana (83) typing cloth knife (84) small square earring (85) smoking plastic pencil (86) triangular wallet (87) walking wrench (88) enormous banana (89) hiking car key (90) little square bottle (91) obnoxious sofa (92) aqua bed (93) paper speaker (94) square marker (95) snorkeling guitar (96) little calculator (97) hiking piano (98) spherical earring (99) magenta saw (100) cardboard necklace (101) drinking wallet\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) snorkeling cloth red indian tiny prismlike speaker\n(B) lovely brand-new driving glass gray egyptian vase\n(C) lovely archaic hiking steel crimson turkish square enormous pencil\n(D) small whittling fiberglass pink bangladeshi new ridiculous hammer\n(E) ancient driving leather red indonesian triangular midsize ruler\n(F) silly new typing fiberglass magenta iranian normal-size rectangular earring\n(G) silly new whittling fiberglass pink russian normal-size calculator\n(H) tiny spherical driving iron black bangladeshi ring\n(I) circular hiking iron gray russian brand-new awful ball\n(J) enormous spherical walking wood black brazilian old-fashioned silly plier\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:108", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) terrible apple (2) awful necklace (3) wood pencil (4) square table (5) massive turkish trash can (6) huge indian shirt (7) fiberglass scissors (8) walking pyramidal canvas (9) paper old-fashioned wrench (10) smoking vase (11) typing circular ball (12) red terrible pen (13) huge box (14) yellow toolbox (15) plastic drill (16) normal-size bowl (17) repulsive book (18) circular sunglasses (19) bangladeshi bed (20) midsize brazilian knife (21) crimson plier (22) white repulsive jar (23) eating watch (24) paper umbrella (25) plastic new marker (26) cardboard ancient toolbox (27) large ethiopian house (28) triangular plier (29) large thai speaker (30) green ring (31) iron screwdriver (32) indigo wrench (33) drinking pyramidal apple (34) silly bottle (35) hiking spherical camera (36) large indonesian candle (37) iron calculator (38) typing triangular flower pot (39) steel shirt (40) brand-new house (41) black car (42) prismlike midsize old-fashioned candle (43) snorkeling cup (44) eating egyptian plastic earring (45) normal-size box (46) american fire extinguisher (47) new bird (48) nice bicycle (49) triangular chair (50) tiny pakistani hammer (51) old car key (52) big congolese sunglasses (53) normal-size mexican piano (54) pakistani trash can (55) german ring (56) smoking plier (57) whittling knife (58) ethiopian clock (59) blue obnoxious toolbox (60) plastic bicycle (61) plastic vase (62) eating circular flower pot (63) old box (64) steel ancient vase (65) walking fork (66) medium-size indonesian table (67) ancient bowl (68) large bowl (69) normal-size bicycle (70) circular plate (71) red bed (72) huge ruler (73) drinking circular spoon (74) japanese spoon (75) silly plate (76) exercise sunglasses (77) mysterious canvas (78) steel stapler (79) brown silly sofa (80) black shirt (81) leather sunglasses (82) hiking earring (83) spherical jar (84) typing bottle (85) massive pencil (86) tiny chinese wallet (87) ethiopian wallet (88) huge pencil (89) ethiopian earring (90) archaic jar (91) steel old-fashioned fork (92) filipino knife (93) fiberglass canvas (94) glass camera (95) archaic stapler (96) huge indian hammer (97) rubber new bird\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) eating rectangular little congolese paper old-fashioned vase\n(B) yellow awful huge thai wood ancient cup\n(C) gray large bangladeshi wood new triangular driving house\n(D) midsize filipino steel old magenta wonderful piano\n(E) blue repulsive little turkish cardboard brand-new rectangular shoe\n(F) wonderful aqua large mexican wool archaic rectangular exercise bowl\n(G) wonderful huge filipino paper old-fashioned spherical exercise bowl\n(H) mysterious red large bangladeshi cardboard ancient trash can\n(I) brown terrible little russian glass old-fashioned square driving stapler\n(J) prismlike normal-size egyptian wood old white nice toolbox\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:110", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) nice new bowl (2) prismlike hammer (3) drinking fork (4) cloth driving scissors (5) wool drinking bed (6) turkish hammer (7) pakistani enormous dog (8) glass piano (9) brown dog (10) typing ruler (11) exercise ball (12) spherical maroon table (13) whittling key (14) indian necklace (15) brown hat (16) hiking canvas (17) obnoxious brand-new spoon (18) american tiny chair (19) whittling shoe (20) rubber plate (21) indonesian speaker (22) plastic eating necklace (23) rubber driving table (24) terrible toolbox (25) mexican little house (26) leather ring (27) triangular bird (28) driving toolbox (29) triangular violet bed (30) small shoe (31) ethiopian normal-size house (32) american spoon (33) ancient ring (34) rubber bottle (35) triangular violet jar (36) hiking trash can (37) spherical scissors (38) brand-new stapler (39) new book (40) prismlike watch (41) pyramidal aqua brush (42) nigerian house (43) rectangular violet shoe (44) ancient bowl (45) congolese little screwdriver (46) awful old screwdriver (47) pink necklace (48) circular hammer (49) awful brand-new trash can (50) silly wallet (51) leather speaker (52) japanese banana (53) filipino large vase (54) paper key (55) typing pencil (56) ethiopian normal-size hammer (57) egyptian car key (58) whittling brush (59) nigerian spoon (60) square table (61) black canvas (62) drinking ruler (63) indonesian ring (64) rectangular dog (65) square maroon sofa (66) japanese massive jar (67) big lamp (68) circular table (69) paper car key (70) thai book (71) nigerian tiny car (72) steel jar (73) old toolbox (74) new house (75) fiberglass canvas (76) large rubber archaic guitar (77) massive flower pot (78) yellow house (79) chinese small screwdriver (80) tiny table (81) brazilian normal-size speaker (82) wool typing drill (83) mexican key (84) good brand-new ruler (85) indian little wallet (86) ancient chair (87) archaic house (88) obnoxious bicycle (89) driving jar (90) plastic toolbox (91) ethiopian apple (92) repulsive new screwdriver (93) square gray marker (94) wood speaker (95) turkish normal-size plate (96) driving knife (97) cardboard book (98) mexican ball (99) german vase (100) ridiculous candle (101) new bicycle (102) square maroon screwdriver (103) lovely old-fashioned pencil (104) bangladeshi massive wallet (105) hiking lamp (106) nice new sofa (107) triangular yellow umbrella (108) teal ring (109) little sunglasses (110) massive bicycle (111) gray toolbox (112) rectangular spoon (113) iron box (114) filipino drinking awful shoe (115) large banana (116) lovely bottle (117) new table (118) ancient candle (119) good archaic canvas (120) prismlike banana (121) driving cup (122) snorkeling plate (123) egyptian large guitar (124) green trash can (125) wool book (126) rectangular blue camera (127) glass watch (128) silly earring (129) cloth typing toolbox (130) silly apple (131) american vase (132) japanese midsize saw (133) black shoe (134) awful calculator (135) terrible car key (136) rectangular pink key (137) exercise bicycle (138) steel chair (139) russian small piano (140) wonderful car (141) little ruler (142) pink screwdriver (143) turkish big brush (144) terrible marker (145) large ring (146) cyan pen (147) prismlike white hat (148) archaic box (149) gray saw (150) indonesian bicycle (151) wool drill (152) eating drill (153) egyptian little toolbox (154) new camera (155) new bag (156) square brown drill (157) vietnamese massive table (158) red pencil (159) silly pen (160) white wrench (161) plastic piano (162) pyramidal teal pencil (163) ethiopian guitar (164) plastic smoking fire extinguisher (165) pyramidal bed (166) whittling vase (167) old trash can (168) wool car key (169) filipino midsize bed (170) old shirt (171) square blue car key (172) bangladeshi sofa (173) circular jar (174) circular maroon pencil (175) egyptian earring (176) paper whittling book\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) wool drinking mysterious ancient magenta prismlike bowl\n(B) circular red cloth drinking awful brand-new midsize mexican book\n(C) american massive rubber whittling terrible old-fashioned vase\n(D) iranian small iron exercise repulsive old-fashioned aqua square bowl\n(E) yellow pyramidal iron driving ridiculous new big indonesian chair\n(F) maroon rubber hiking terrible old-fashioned normal-size mexican drill\n(G) tiny leather walking mysterious old brown circular bicycle\n(H) egyptian large leather snorkeling silly new triangular hammer\n(I) triangular maroon plastic exercise mysterious archaic midsize marker\n(J) mexican normal-size paper walking obnoxious old aqua car key\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:111", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) brazilian circular brush (2) typing pencil (3) snorkeling camera (4) exercise watch (5) smoking ridiculous candle (6) black stapler (7) old yellow wrench (8) large trash can (9) german triangular toolbox (10) whittling mysterious fork (11) thai plier (12) snorkeling good ruler (13) wool sunglasses (14) blue calculator (15) leather car (16) egyptian wallet (17) lovely plate (18) ridiculous banana (19) nigerian pyramidal flower pot (20) wood camera (21) pakistani triangular car (22) german prismlike calculator (23) pakistani spoon (24) huge glass wrench (25) pyramidal camera (26) little screwdriver (27) driving bed (28) enormous ring (29) obnoxious bowl (30) exercise lamp (31) rectangular car (32) big umbrella (33) russian sunglasses (34) teal scissors (35) whittling repulsive umbrella (36) bangladeshi prismlike spoon (37) hiking marker (38) iron toolbox (39) drinking good sunglasses (40) spherical bowl (41) awful scissors (42) nigerian prismlike sunglasses (43) new lamp (44) massive stapler (45) brand-new stapler (46) little car key (47) tiny glass trash can (48) whittling fork (49) turkish ball (50) little ring (51) iron bangladeshi maroon car (52) yellow toolbox (53) big plastic clock (54) new pink plate (55) normal-size cardboard book (56) wool watch (57) bangladeshi fire extinguisher (58) filipino rectangular calculator (59) awful wrench (60) mysterious watch (61) medium-size leather trash can (62) tiny glass vase (63) smoking saw (64) eating necklace (65) typing bottle (66) smoking camera (67) exercise marker (68) brand-new yellow camera (69) big table (70) brazilian brush (71) german triangular canvas (72) new plate (73) ancient bowl (74) spherical piano (75) turkish pyramidal apple (76) mexican prismlike cup (77) rectangular table (78) spherical shirt (79) repulsive box (80) mysterious banana (81) archaic chair (82) pyramidal ball (83) huge flower pot (84) ancient crimson guitar (85) enormous cloth trash can (86) rectangular spoon (87) old white earring (88) aqua bottle (89) indian rectangular bird (90) glass wrench (91) hiking mysterious fire extinguisher (92) hiking earring (93) big leather flower pot (94) wool shoe (95) big wood knife (96) fiberglass sunglasses (97) prismlike fork (98) iranian brush (99) large fire extinguisher (100) nice wrench (101) small hammer (102) violet wallet (103) obnoxious calculator (104) turkish vase (105) enormous sofa (106) indonesian key (107) tiny toolbox (108) big glass ball (109) small rubber banana (110) red box (111) hiking shoe (112) brazilian necklace (113) driving silly book (114) german triangular shirt (115) enormous cloth hat (116) indonesian triangular flower pot (117) wool fork (118) japanese house (119) small glass bicycle (120) large rubber trash can (121) smoking repulsive dog (122) medium-size pyramidal brand-new hammer (123) ethiopian square necklace (124) massive glass watch (125) typing apple (126) tiny pen (127) iranian wrench (128) little sunglasses (129) old-fashioned canvas (130) snorkeling mysterious house (131) brand-new brown hammer (132) leather marker (133) new camera (134) filipino prismlike cup (135) archaic teal bowl (136) filipino drill (137) brand-new bag (138) normal-size ruler (139) pakistani bird (140) new stapler (141) steel wallet (142) normal-size paper toolbox (143) repulsive watch (144) small steel speaker (145) japanese bottle (146) violet key (147) gray shoe (148) triangular necklace (149) hiking awful speaker (150) new aqua vase (151) russian wrench (152) tiny box (153) iranian triangular wallet (154) cyan marker (155) aqua ruler (156) ethiopian ring (157) terrible banana (158) hiking mysterious knife (159) new candle (160) iranian guitar (161) white calculator (162) fiberglass piano (163) snorkeling vase (164) obnoxious sunglasses (165) new bag (166) archaic plate (167) triangular pencil (168) brown candle (169) steel fork (170) normal-size trash can (171) old toolbox (172) drinking jar (173) new brown shirt (174) thai triangular pencil (175) filipino circular apple (176) terrible watch (177) huge cardboard bed (178) fiberglass car key (179) new violet wallet (180) rectangular hammer (181) nigerian square bowl (182) mexican pyramidal key (183) exercise car key (184) green necklace (185) eating repulsive brush (186) nigerian drill (187) terrible plate (188) old-fashioned yellow bowl (189) good house (190) exercise mysterious sunglasses (191) white apple (192) circular table (193) rectangular scissors (194) typing terrible flower pot (195) ancient pen (196) german spherical candle (197) massive candle (198) midsize cloth brush (199) pyramidal house (200) typing wrench (201) square key (202) indonesian triangular shoe (203) massive cloth table (204) tiny rubber marker (205) obnoxious toolbox (206) new green clock (207) circular fire extinguisher (208) enormous calculator (209) spherical bag (210) iranian square speaker (211) driving hat (212) cardboard camera (213) german plate (214) old-fashioned knife (215) enormous steel saw (216) driving earring (217) huge sunglasses (218) big wood shirt (219) spherical camera (220) leather apple (221) steel box (222) lovely book (223) nice marker (224) small jar (225) normal-size stapler (226) new brown sofa (227) nice car key (228) drinking obnoxious apple (229) drinking necklace (230) egyptian box (231) tiny cardboard ring (232) large iron bowl (233) violet vase (234) walking canvas (235) tiny cardboard dog (236) rubber pen (237) brazilian square brush (238) iron clock (239) medium-size speaker (240) leather ring (241) typing sofa (242) paper house (243) smoking cup (244) circular sofa (245) snorkeling good shirt (246) paper pen (247) massive rubber wrench (248) triangular saw (249) japanese rectangular watch\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) eating silly congolese circular old magenta bed\n(B) cardboard american pyramidal brand-new teal good hiking screwdriver\n(C) big glass chinese prismlike old-fashioned white repulsive typing bird\n(D) medium-size cardboard filipino pyramidal brand-new blue nice chair\n(E) midsize paper japanese spherical new magenta snorkeling silly stapler\n(F) repulsive driving iranian pyramidal ancient indigo book\n(G) filipino circular old-fashioned violet nice exercise saw\n(H) little glass mexican circular archaic crimson exercise canvas\n(I) typing good chinese triangular archaic magenta leather hat\n(J) midsize cloth american pyramidal old maroon canvas\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:112", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) large awful screwdriver (2) archaic shoe (3) cyan cup (4) thai table (5) archaic marker (6) massive sofa (7) wood camera (8) tiny lovely guitar (9) cyan scissors (10) nice bicycle (11) crimson vase (12) ethiopian trash can (13) terrible clock (14) steel watch (15) indonesian fire extinguisher (16) chinese banana (17) wood table (18) blue box (19) good fire extinguisher (20) exercise stapler (21) snorkeling bed (22) blue iron jar (23) obnoxious pen (24) cyan banana (25) old-fashioned watch (26) smoking archaic table (27) huge wonderful ring (28) magenta necklace (29) vietnamese jar (30) old guitar (31) cyan fiberglass camera (32) cyan plastic bed (33) cloth necklace (34) archaic spoon (35) large canvas (36) teal bicycle (37) iron plate (38) green plate (39) egyptian square key (40) black canvas (41) midsize awful bag (42) big jar (43) exercise archaic bed (44) egyptian ring (45) leather pencil (46) medium-size trash can (47) big bottle (48) wool thai ancient hammer (49) bangladeshi circular umbrella (50) nice box (51) nigerian screwdriver (52) gray cardboard jar (53) driving hat (54) normal-size plate (55) small screwdriver (56) eating stapler (57) hiking old-fashioned car (58) black watch (59) drinking new watch (60) new stapler (61) green sofa (62) teal car (63) rectangular pencil (64) drinking archaic hat (65) tiny bird (66) medium-size wonderful shirt (67) square shoe (68) normal-size awful speaker (69) gray bicycle (70) drinking old-fashioned ring (71) cyan leather brush (72) small chair (73) little shirt (74) midsize pencil (75) american screwdriver (76) archaic plier (77) iron sofa (78) medium-size bicycle (79) good car key (80) awful jar (81) prismlike saw (82) mexican screwdriver (83) old-fashioned banana (84) repulsive bicycle (85) spherical chair (86) big necklace (87) vietnamese pyramidal bottle (88) square marker (89) new canvas (90) awful fire extinguisher (91) typing fork (92) whittling sunglasses (93) hiking old-fashioned bag (94) little mysterious apple (95) driving key (96) little pen (97) teal box (98) large obnoxious ball (99) brand-new cup (100) iron sunglasses (101) old earring (102) filipino square bed (103) cyan glass book (104) thai rectangular table (105) enormous canvas (106) new banana (107) silly ball (108) green circular eating stapler (109) indonesian piano (110) leather car (111) large good plate (112) walking ancient car (113) wonderful brush (114) typing archaic camera (115) maroon pencil (116) driving car key (117) tiny mysterious pencil (118) hiking new toolbox (119) little good cup (120) massive earring (121) enormous umbrella (122) circular cup (123) gray box (124) chinese clock (125) triangular umbrella (126) pyramidal brush (127) hiking house (128) circular marker (129) hiking brand-new shirt (130) hiking brand-new table (131) driving brand-new bird (132) large marker (133) tiny lovely house (134) turkish flower pot (135) prismlike candle (136) typing new fork (137) mysterious marker (138) large nice pencil (139) black toolbox (140) tiny good car (141) tiny marker (142) egyptian spherical umbrella (143) big terrible hammer (144) snorkeling knife (145) normal-size wonderful cup (146) normal-size clock (147) huge shoe (148) pyramidal house (149) crimson spoon (150) thai prismlike earring (151) rubber shoe (152) german bird (153) midsize watch (154) prismlike vase (155) enormous good bird (156) snorkeling old-fashioned ring (157) massive mysterious bag (158) rubber pen (159) old-fashioned lamp (160) wonderful wallet (161) enormous cup (162) circular brush (163) leather table (164) obnoxious wrench (165) new guitar (166) pakistani triangular car (167) leather fire extinguisher (168) huge ridiculous spoon (169) snorkeling plate (170) drinking fork (171) ethiopian toolbox (172) typing old sunglasses (173) russian prismlike chair (174) rubber sunglasses (175) archaic hat (176) mexican shoe (177) drinking chair\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) crimson cardboard turkish square hiking archaic nice little shirt\n(B) gray fiberglass chinese triangular hiking ancient little guitar\n(C) gray wood filipino prismlike exercise old-fashioned small terrible wrench\n(D) good small vietnamese triangular hiking old toolbox\n(E) plastic thai circular eating archaic midsize lovely pen\n(F) ridiculous normal-size filipino pyramidal whittling new plastic teal drill\n(G) paper ethiopian pyramidal whittling new ridiculous normal-size trash can\n(H) filipino pyramidal snorkeling old tiny ridiculous umbrella\n(I) repulsive huge ethiopian square walking new glass speaker\n(J) teal paper chinese triangular hiking old car key\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:113", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) russian jar (2) little white clock (3) ridiculous canvas (4) crimson cup (5) aqua wrench (6) normal-size green screwdriver (7) smoking clock (8) small pink ruler (9) smoking ruler (10) triangular key (11) archaic table (12) little dog (13) bangladeshi new wrench (14) brazilian plier (15) nice key (16) prismlike house (17) german old bicycle (18) new ring (19) turkish brand-new dog (20) eating trash can (21) medium-size yellow box (22) good pen (23) mexican candle (24) indian brand-new house (25) drinking repulsive wrench (26) bangladeshi archaic spoon (27) silly sofa (28) massive screwdriver (29) eating rectangular indonesian bicycle (30) walking silly pen (31) hiking wallet (32) nice calculator (33) white saw (34) rectangular umbrella (35) small pink vase (36) new bowl (37) snorkeling lovely table (38) smoking awful pencil (39) old dog (40) cardboard plier (41) red flower pot (42) little violet drill (43) snorkeling terrible scissors (44) black stapler (45) little ruler (46) obnoxious trash can (47) filipino ruler (48) brown camera (49) vietnamese ancient cup (50) cardboard bottle (51) medium-size piano (52) enormous cup (53) bangladeshi new cup (54) tiny ruler (55) rubber square calculator (56) enormous violet shoe (57) cyan box (58) egyptian new lamp (59) old-fashioned guitar (60) old-fashioned house (61) maroon clock (62) eating repulsive shoe (63) mexican archaic fire extinguisher (64) drinking car (65) wool knife (66) turkish old clock (67) massive car key (68) exercise wonderful box (69) enormous scissors (70) iron square dog (71) enormous candle (72) american piano (73) spherical table (74) smoking apple (75) wood rectangular calculator (76) turkish shoe (77) terrible wrench (78) big white bed (79) lovely plastic brand-new screwdriver (80) spherical sofa (81) typing scissors (82) iranian flower pot (83) bangladeshi new shirt (84) snorkeling knife (85) thai wallet (86) normal-size teal cup (87) russian pencil (88) rectangular scissors (89) tiny hammer (90) indonesian guitar (91) black lamp (92) large vase (93) square trash can (94) rectangular bottle (95) tiny black vase (96) nigerian archaic sofa (97) paper pen (98) pakistani necklace (99) glass pen (100) driving spoon (101) normal-size crimson brush (102) typing awful pen (103) drinking book (104) nice dog (105) drinking fork (106) wood pyramidal stapler (107) lovely sofa (108) midsize ruler (109) little guitar (110) green table (111) nigerian box (112) triangular house (113) brand-new plier (114) spherical key (115) old-fashioned clock (116) nice watch (117) vietnamese necklace (118) old-fashioned earring (119) new brush (120) iron rectangular chair (121) lovely box (122) brazilian necklace (123) maroon apple (124) spherical watch (125) awful fire extinguisher (126) little brown piano (127) huge canvas (128) pakistani old-fashioned shirt (129) square box (130) bangladeshi old pencil (131) ethiopian drill (132) good sunglasses (133) tiny gray spoon (134) pakistani old-fashioned lamp (135) huge bicycle (136) snorkeling marker (137) german necklace (138) paper dog (139) big hammer (140) drinking candle (141) black guitar (142) wool prismlike speaker (143) yellow box (144) driving necklace (145) iron car key (146) american brand-new flower pot (147) new sofa (148) american old-fashioned toolbox (149) cardboard ring (150) circular shoe (151) indian brand-new knife (152) turkish lamp (153) small yellow ruler (154) drinking terrible box (155) midsize cyan wallet (156) smoking nice house (157) mexican marker (158) brand-new ring (159) small saw (160) black saw (161) glass square brush (162) german old-fashioned marker (163) nigerian hat (164) rectangular jar (165) huge fork (166) old candle (167) tiny table (168) brazilian guitar (169) walking terrible plate (170) german old pen (171) pink trash can (172) spherical bird\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) terrible leather rectangular chinese archaic small indigo dog\n(B) good steel pyramidal chinese old-fashioned green midsize wallet\n(C) steel circular ethiopian archaic teal big pen\n(D) plastic circular bangladeshi ancient tiny green sofa\n(E) snorkeling ridiculous cardboard triangular brazilian new white table\n(F) small brown paper pyramidal nigerian archaic obnoxious walking bag\n(G) crimson medium-size rubber spherical egyptian brand-new obnoxious smoking lamp\n(H) midsize magenta cloth pyramidal pakistani old stapler\n(I) typing ridiculous wood spherical egyptian old trash can\n(J) brown normal-size iron pyramidal iranian archaic silly marker\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:114", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) brazilian prismlike calculator (2) aqua bird (3) maroon watch (4) white awful marker (5) good bottle (6) japanese umbrella (7) indian triangular key (8) medium-size book (9) green good candle (10) glass snorkeling plate (11) old-fashioned little stapler (12) hiking banana (13) steel eating apple (14) brown pen (15) maroon nice camera (16) wool canvas (17) yellow vase (18) triangular flower pot (19) medium-size shirt (20) wool drinking sofa (21) archaic hammer (22) iron hiking banana (23) small screwdriver (24) fiberglass drinking banana (25) archaic box (26) leather hiking pencil (27) brand-new massive jar (28) small brush (29) paper calculator (30) leather typing bird (31) nigerian prismlike canvas (32) rubber camera (33) circular ring (34) brazilian ruler (35) tiny plier (36) gray awful book (37) filipino triangular car (38) filipino rectangular spoon (39) eating plate (40) plastic stapler (41) russian umbrella (42) ridiculous clock (43) german clock (44) iranian rectangular car (45) old plate (46) ancient massive plier (47) pakistani plier (48) aqua silly clock (49) cardboard sofa (50) circular toolbox (51) square trash can (52) glass canvas (53) exercise marker (54) brand-new massive stapler (55) congolese circular vase (56) black clock (57) pink piano (58) bangladeshi spherical jar (59) filipino circular calculator (60) cloth ring (61) blue car key (62) bangladeshi circular book (63) good knife (64) enormous bed (65) old banana (66) paper banana (67) spherical camera (68) vietnamese knife (69) ancient enormous speaker (70) normal-size apple (71) square earring (72) brazilian hammer (73) ancient normal-size screwdriver (74) enormous earring (75) old-fashioned small ball (76) brown car key (77) steel guitar (78) brand-new brush (79) wood bicycle (80) silly spoon (81) fiberglass nice old wallet (82) archaic watch (83) cloth earring (84) crimson apple (85) whittling knife (86) little bag (87) yellow mysterious earring (88) driving ruler (89) indian hammer (90) german umbrella (91) ancient medium-size stapler (92) violet marker (93) pink brush (94) yellow drill (95) turkish pyramidal bowl (96) archaic plier (97) wool smoking car key (98) ethiopian plier (99) new midsize scissors (100) triangular book (101) thai banana (102) russian triangular bed (103) rectangular banana (104) violet house (105) brand-new midsize car key (106) glass walking ring (107) old-fashioned wrench (108) ancient little ruler (109) black knife (110) indigo awful pen (111) brand-new small plate (112) aqua terrible car key (113) pakistani spherical screwdriver (114) filipino drill (115) awful flower pot (116) mexican cup (117) cardboard smoking apple (118) whittling wallet (119) maroon book (120) cardboard exercise ring (121) normal-size watch (122) old-fashioned ball (123) huge ring (124) awful apple (125) yellow canvas (126) ancient midsize umbrella (127) silly ruler (128) cloth smoking marker (129) driving jar (130) wonderful stapler (131) wonderful jar (132) wood snorkeling pen (133) triangular bed (134) german rectangular watch (135) fiberglass hiking vase (136) paper car key (137) new bird (138) spherical brush (139) walking car (140) leather walking toolbox (141) crimson ridiculous ball (142) iron ring (143) iron snorkeling ruler (144) triangular chair (145) cardboard spoon (146) prismlike hammer (147) brand-new normal-size hammer (148) drinking key (149) walking vase (150) pyramidal umbrella (151) archaic hat (152) massive knife (153) old-fashioned little lamp (154) midsize bed (155) small fork (156) pyramidal saw (157) wood exercise plier (158) old necklace (159) pyramidal hat (160) teal nice brush (161) teal terrible fire extinguisher (162) brand-new key (163) ethiopian square stapler (164) nice screwdriver (165) rubber typing marker (166) magenta good car (167) big bag (168) archaic clock (169) wonderful pen (170) indonesian rectangular saw (171) smoking stapler (172) silly plier (173) american rectangular banana (174) silly wallet (175) archaic marker (176) rubber drill (177) glass pencil (178) wool whittling piano (179) indonesian ruler (180) prismlike banana (181) large book (182) wood driving earring (183) mexican watch (184) old watch (185) rectangular screwdriver (186) brand-new ruler (187) russian rectangular drill (188) ancient hammer (189) pyramidal drill (190) exercise toolbox (191) american cup (192) terrible hat (193) old-fashioned apple (194) square vase (195) ancient spoon (196) gray ridiculous wrench (197) walking bicycle (198) plastic vase (199) paper fork (200) japanese table (201) tiny table (202) typing shirt (203) repulsive saw (204) pyramidal bottle (205) triangular ruler (206) german prismlike vase (207) rectangular umbrella (208) brown plier (209) turkish pencil (210) old bowl (211) prismlike marker (212) brown good watch (213) yellow terrible pencil (214) square guitar (215) filipino fire extinguisher (216) terrible candle (217) indonesian saw (218) wool hat (219) glass walking speaker (220) old-fashioned plier (221) walking shirt (222) archaic normal-size chair (223) good sofa (224) wood exercise car key (225) vietnamese spherical cup (226) lovely banana (227) old-fashioned scissors (228) awful bowl (229) vietnamese pyramidal book (230) thai spherical toolbox (231) new small scissors (232) archaic large canvas (233) yellow fork (234) new bag (235) red knife (236) exercise indigo normal-size pen (237) green lovely spoon (238) drinking flower pot (239) nice bed (240) glass exercise apple (241) rubber whittling chair (242) steel snorkeling hat\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) leather smoking crimson good archaic enormous guitar\n(B) nigerian spherical cyan ridiculous ancient midsize cup\n(C) drinking cyan silly archaic enormous triangular pakistani banana\n(D) glass eating black terrible archaic massive nigerian ball\n(E) circular pink wonderful new medium-size typing leather wrench\n(F) cardboard snorkeling cyan awful old little prismlike nigerian umbrella\n(G) exercise aqua lovely archaic midsize congolese square speaker\n(H) circular bangladeshi maroon lovely brand-new huge ring\n(I) rubber typing green terrible ancient medium-size spherical sofa\n(J) circular ethiopian maroon nice archaic huge typing house\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:118", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) obnoxious sunglasses (2) paper banana (3) enormous walking wrench (4) good book (5) eating ruler (6) old-fashioned calculator (7) typing bed (8) archaic house (9) thai bag (10) red mysterious watch (11) circular old-fashioned marker (12) chinese drill (13) cyan plier (14) smoking watch (15) pyramidal marker (16) blue key (17) magenta guitar (18) vietnamese lamp (19) fiberglass turkish earring (20) white fire extinguisher (21) paper chair (22) yellow good clock (23) archaic speaker (24) vietnamese car (25) medium-size car key (26) medium-size smoking vase (27) pyramidal shirt (28) brand-new car (29) iron house (30) normal-size table (31) little banana (32) wood indian bowl (33) medium-size shoe (34) cardboard plate (35) triangular bag (36) iron thai pencil (37) silly spoon (38) rubber key (39) tiny whittling vase (40) circular candle (41) large typing bicycle (42) brand-new cup (43) glass piano (44) aqua nice marker (45) red speaker (46) prismlike chair (47) pyramidal new bird (48) brazilian camera (49) enormous shirt (50) fiberglass bag (51) old-fashioned bed (52) magenta obnoxious car (53) new bicycle (54) triangular exercise fiberglass cup (55) enormous marker (56) driving hat (57) hiking box (58) ancient huge congolese stapler (59) maroon lovely apple (60) pink spoon (61) leather iranian watch (62) tiny typing plier (63) repulsive book (64) wool pencil (65) midsize snorkeling lamp (66) spherical table (67) tiny hiking necklace (68) silly stapler (69) brazilian necklace (70) smoking pen (71) large bottle (72) mysterious pen (73) driving plier (74) teal fire extinguisher (75) rectangular brand-new plier (76) prismlike pen (77) typing cup (78) paper japanese box (79) wool calculator (80) red scissors (81) square ring (82) small exercise bicycle (83) white lamp (84) little smoking bag (85) square archaic cup (86) whittling saw (87) violet silly umbrella (88) tiny table (89) iron piano (90) ancient box (91) spherical new bicycle (92) enormous snorkeling vase (93) medium-size plier (94) bangladeshi wallet (95) brand-new jar (96) fiberglass filipino book (97) enormous key (98) pyramidal knife (99) white nice umbrella (100) brown car key (101) smoking wallet (102) japanese plate (103) russian wallet (104) circular lamp (105) indonesian fire extinguisher (106) iranian house (107) steel brazilian trash can (108) leather bed (109) pyramidal ancient house (110) big typing house (111) repulsive guitar (112) old-fashioned car key (113) green wonderful car (114) little typing clock (115) triangular archaic umbrella (116) exercise clock (117) repulsive speaker (118) paper thai cup (119) normal-size drinking bed\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) triangular old massive typing leather chinese ridiculous crimson trash can\n(B) white obnoxious normal-size hiking fiberglass indian archaic pyramidal table\n(C) terrible large smoking leather egyptian archaic pyramidal pencil\n(D) gray repulsive midsize smoking leather american new ruler\n(E) huge walking wood indonesian black ridiculous flower pot\n(F) pyramidal old-fashioned large snorkeling iron pakistani maroon silly jar\n(G) medium-size drinking wool nigerian ridiculous white trash can\n(H) prismlike new large typing rubber bangladeshi violet jar\n(I) pyramidal old midsize exercise cloth ethiopian watch\n(J) new huge drinking paper thai terrible yellow pen\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:120", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) circular sofa (2) iron bird (3) big pyramidal chair (4) prismlike key (5) indigo umbrella (6) steel wallet (7) snorkeling plastic guitar (8) filipino brand-new fiberglass guitar (9) paper cup (10) drinking glass cup (11) prismlike dog (12) exercise bird (13) triangular bicycle (14) pink silly walking umbrella (15) archaic saw (16) midsize rectangular watch (17) circular bird (18) old-fashioned knife (19) brown thai watch (20) spherical scissors (21) walking paper saw (22) triangular speaker (23) walking calculator (24) exercise brush (25) new fork (26) big pen (27) teal car (28) exercise wool drill (29) russian screwdriver (30) new vase (31) violet chinese screwdriver (32) mysterious wallet (33) old-fashioned awful ring (34) archaic nice fork (35) old-fashioned good bottle (36) brand-new ridiculous piano (37) brazilian apple (38) old ball (39) japanese umbrella (40) new canvas (41) midsize prismlike stapler (42) brazilian saw (43) walking iron fire extinguisher (44) whittling umbrella (45) archaic dog (46) exercise hammer (47) ancient apple (48) nice chair (49) indonesian house (50) lovely guitar (51) walking car key (52) plastic bag (53) violet toolbox (54) bangladeshi fork (55) wood bowl (56) crimson japanese banana (57) cardboard hammer (58) indonesian bird (59) new good car (60) walking wallet (61) blue piano (62) indonesian fire extinguisher (63) rectangular trash can (64) ancient terrible plate (65) drinking wallet (66) leather ball (67) ridiculous brush (68) nice plate (69) mexican chair (70) snorkeling iron fire extinguisher (71) brand-new bag (72) medium-size saw (73) little prismlike shoe (74) triangular vase (75) drinking iron sofa (76) hiking plier (77) ancient terrible stapler (78) walking marker (79) prismlike guitar (80) cyan hammer (81) blue candle (82) whittling chair (83) obnoxious plier (84) large square fire extinguisher (85) new dog (86) wool camera (87) paper flower pot (88) whittling iron bowl (89) brand-new house (90) little rectangular necklace (91) new calculator (92) old silly fork (93) typing bird (94) triangular drill (95) brand-new nice speaker (96) fiberglass bed (97) crimson cup (98) typing cloth toolbox (99) gray indian stapler (100) hiking paper book (101) hiking fiberglass bicycle (102) paper saw (103) maroon iranian hat (104) medium-size prismlike hammer (105) nigerian trash can (106) brand-new apple (107) snorkeling steel saw (108) smoking cardboard hat (109) huge piano (110) ancient repulsive calculator (111) old cup (112) leather book (113) normal-size circular pen (114) prismlike vase (115) enormous vase (116) smoking steel screwdriver (117) normal-size pyramidal lamp (118) old-fashioned plier (119) cardboard guitar (120) aqua earring (121) magenta wallet (122) ridiculous ring (123) repulsive jar (124) filipino cup (125) nigerian ruler (126) yellow vietnamese cup (127) old-fashioned ridiculous apple (128) mysterious knife (129) smoking rubber bird\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) indian new awful typing plastic large square marker\n(B) violet filipino archaic nice drinking wood hat\n(C) brazilian ancient terrible eating wool pyramidal enormous pencil\n(D) indigo chinese archaic awful smoking steel pyramidal large bicycle\n(E) big triangular old wonderful whittling wool russian teal shirt\n(F) ancient wonderful eating fiberglass large circular watch\n(G) huge square archaic good eating plastic screwdriver\n(H) rectangular tiny ancient nice whittling rubber marker\n(I) ancient nice walking wool pyramidal normal-size screwdriver\n(J) midsize spherical ancient good whittling leather indian fork\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:122", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) pakistani bird (2) paper house (3) rectangular wonderful stapler (4) turkish old stapler (5) black marker (6) iron screwdriver (7) midsize guitar (8) prismlike wonderful key (9) mexican brand-new toolbox (10) indian old-fashioned ruler (11) typing huge plate (12) massive chair (13) leather magenta bag (14) paper magenta bicycle (15) awful pencil (16) smoking huge calculator (17) wood pink car (18) japanese sofa (19) tiny car key (20) hiking wallet (21) steel black bird (22) maroon car (23) glass chair (24) whittling small bag (25) small knife (26) german brush (27) rectangular awful speaker (28) hiking medium-size chair (29) circular vase (30) cardboard knife (31) drinking pencil (32) silly chair (33) wool watch (34) indigo bag (35) mexican ball (36) blue umbrella (37) spherical spoon (38) steel teal ring (39) drinking knife (40) russian old speaker (41) cloth ruler (42) silly toolbox (43) mexican archaic bed (44) hiking huge umbrella (45) old-fashioned earring (46) leather indigo trash can (47) hiking earring (48) wood guitar (49) drinking canvas (50) ancient lamp (51) drinking toolbox (52) yellow pencil (53) snorkeling midsize candle (54) pyramidal terrible piano (55) violet pencil (56) tiny fork (57) iron hammer (58) maroon speaker (59) exercise saw (60) vietnamese bag (61) tiny drill (62) driving necklace (63) square brush (64) pink piano (65) eating large knife (66) ancient car (67) small ball (68) iron red table (69) drinking key (70) wood medium-size russian camera (71) bangladeshi book (72) glass aqua piano (73) thai ancient bird (74) triangular fire extinguisher (75) spherical pencil (76) circular necklace (77) paper necklace (78) old-fashioned watch (79) aqua ring (80) thai drill (81) steel wallet (82) repulsive book (83) triangular piano (84) egyptian old drill (85) nice car key (86) walking lamp (87) chinese new apple (88) large brush (89) ancient fork (90) drinking small car key (91) smoking medium-size table (92) white shoe (93) black trash can (94) awful knife (95) chinese old sofa (96) wood scissors (97) prismlike bag (98) eating toolbox (99) enormous shirt (100) small fork (101) wool maroon hammer (102) chinese ancient pen (103) drinking drill (104) spherical lovely fork (105) fiberglass key (106) old-fashioned bowl (107) cardboard flower pot (108) driving big piano (109) paper bottle (110) brazilian old bicycle (111) square piano (112) rectangular trash can (113) old dog (114) walking small car (115) paper earring (116) small earring (117) mexican brand-new jar (118) walking jar (119) new ruler (120) chinese bottle (121) rubber pink clock (122) archaic hat (123) silly table (124) obnoxious guitar (125) fiberglass bed (126) enormous sofa (127) medium-size umbrella (128) rubber dog (129) snorkeling enormous vase (130) green whittling new bag (131) snorkeling medium-size car (132) old vase (133) spherical nice toolbox (134) pakistani lamp (135) mexican brand-new pencil (136) snorkeling enormous apple (137) american brand-new shirt (138) drinking lamp (139) egyptian hat (140) wool maroon dog (141) smoking medium-size car key (142) whittling little dog (143) crimson bag (144) terrible flower pot (145) rectangular obnoxious bird (146) filipino archaic house (147) iron white camera (148) hiking bird (149) bangladeshi old brush (150) square terrible fire extinguisher (151) plastic black ring (152) mexican drill (153) drinking small scissors (154) rubber aqua bird (155) eating big earring (156) nigerian stapler (157) circular shoe (158) wool yellow bag (159) rectangular mysterious plate (160) ethiopian archaic ruler (161) crimson shirt (162) gray book (163) glass yellow toolbox (164) mexican new necklace (165) rubber sofa (166) drinking enormous stapler (167) rectangular house (168) steel brown book (169) ridiculous drill (170) iron marker (171) brazilian archaic plate (172) brand-new scissors (173) iranian bag (174) big bowl (175) ancient banana (176) archaic car (177) cloth plier (178) whittling normal-size candle (179) silly bicycle (180) rectangular book (181) congolese brand-new trash can (182) steel red vase (183) smoking huge pencil (184) japanese archaic candle (185) silly bowl (186) plastic wrench (187) nigerian car (188) ancient piano (189) pyramidal lovely chair (190) mexican ancient watch (191) square silly banana (192) leather teal knife (193) cloth pencil (194) brand-new marker (195) cardboard key (196) paper brush (197) cyan wrench\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) rectangular nice driving massive turkish old-fashioned house\n(B) terrible rectangular exercise little nigerian old-fashioned plier\n(C) paper blue snorkeling midsize thai old mysterious guitar\n(D) wood brown drinking medium-size american old-fashioned spherical hammer\n(E) violet driving tiny japanese new triangular silly necklace\n(F) obnoxious square eating big chinese old-fashioned cyan fiberglass saw\n(G) teal driving little japanese archaic wonderful square toolbox\n(H) cardboard black smoking small pakistani brand-new ruler\n(I) circular obnoxious exercise midsize turkish ancient green box\n(J) rectangular driving huge american archaic brown iron shirt\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:125", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) rubber umbrella (2) violet jar (3) drinking toolbox (4) chinese ball (5) brown piano (6) archaic pakistani cyan pencil (7) awful blue book (8) nice book (9) iranian circular book (10) driving cup (11) awful pink spoon (12) eating ancient saw (13) maroon saw (14) prismlike bird (15) new screwdriver (16) archaic banana (17) old house (18) huge cup (19) hiking ruler (20) terrible yellow fork (21) iron normal-size hat (22) green banana (23) hiking new calculator (24) hiking guitar (25) triangular watch (26) pyramidal knife (27) aqua ball (28) obnoxious indigo screwdriver (29) congolese triangular drill (30) little bird (31) archaic fork (32) leather small bowl (33) japanese cup (34) white dog (35) iron lamp (36) smoking old wallet (37) glass medium-size table (38) hiking spoon (39) nice green plier (40) awful bicycle (41) wood shirt (42) nice red piano (43) lovely ring (44) awful dog (45) exercise old candle (46) nice gray ring (47) glass apple (48) plastic pen (49) mysterious maroon hat (50) pink dog (51) walking old-fashioned jar (52) nice flower pot (53) chinese calculator (54) indian rectangular ruler (55) japanese spherical speaker (56) ancient speaker (57) gray screwdriver (58) steel tiny shoe (59) filipino toolbox (60) wool little umbrella (61) typing brand-new canvas (62) iron massive marker (63) drinking house (64) mysterious house (65) wonderful ruler (66) maroon shoe (67) smoking plate (68) indigo dog (69) snorkeling archaic sunglasses (70) lovely aqua jar (71) iranian prismlike canvas (72) driving brand-new dog (73) cardboard bicycle (74) mexican box (75) indonesian square marker (76) thai circular speaker (77) chinese square scissors (78) glass huge bed (79) green ring (80) hiking brand-new necklace (81) square screwdriver (82) filipino prismlike box (83) driving drill (84) paper medium-size bottle (85) square bag (86) green shirt (87) aqua lamp (88) wonderful knife (89) ancient candle (90) drinking brand-new bed (91) rectangular bicycle (92) indonesian piano (93) cardboard tiny car (94) walking rectangular mysterious clock (95) crimson sofa (96) ancient vase (97) snorkeling new stapler (98) exercise trash can (99) iron flower pot (100) iranian square ruler (101) turkish circular bottle (102) turkish pen (103) circular drill (104) yellow knife (105) exercise table (106) glass scissors (107) smoking bed (108) cloth bowl (109) indian square marker (110) terrible brown book (111) snorkeling brand-new car (112) wood tiny marker (113) eating brand-new toolbox (114) cardboard normal-size clock (115) german book (116) cyan house (117) steel midsize book (118) eating camera (119) good magenta bed (120) driving ancient speaker (121) mysterious ball (122) triangular saw (123) bangladeshi square table (124) paper big bed (125) repulsive red hat (126) glass shoe (127) old brush (128) tiny saw (129) hiking old speaker (130) massive marker (131) rubber small pencil (132) smoking new knife (133) brand-new jar (134) smoking scissors (135) typing ancient plier (136) ethiopian prismlike fork (137) ridiculous brown sofa (138) old-fashioned car (139) brand-new vase (140) old-fashioned apple (141) egyptian clock (142) hiking shoe (143) iranian pyramidal candle (144) ancient bag (145) egyptian rectangular saw (146) american car key (147) wool big speaker (148) japanese rectangular bowl\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) enormous fiberglass russian spherical awful red ancient stapler\n(B) leather midsize american rectangular wonderful blue canvas\n(C) large glass mexican square wonderful white old-fashioned smoking jar\n(D) ethiopian spherical good teal enormous wool ball\n(E) cardboard tiny russian rectangular wonderful green archaic pen\n(F) walking brand-new ethiopian square terrible violet bed\n(G) midsize filipino pyramidal repulsive magenta old smoking box\n(H) archaic nigerian triangular obnoxious black large cloth bird\n(I) chinese spherical nice pink fiberglass little table\n(J) massive fiberglass turkish pyramidal good brown wallet\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:128", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) old-fashioned toolbox (2) hiking saw (3) filipino cup (4) spherical calculator (5) old bottle (6) small watch (7) archaic table (8) pyramidal ring (9) old-fashioned book (10) teal plate (11) plastic bed (12) green silly flower pot (13) cardboard archaic watch (14) square large chair (15) huge stapler (16) massive calculator (17) repulsive flower pot (18) tiny watch (19) snorkeling earring (20) brand-new house (21) prismlike massive jar (22) square lamp (23) steel screwdriver (24) exercise piano (25) triangular little toolbox (26) wool brand-new umbrella (27) cloth archaic book (28) green pencil (29) iron old key (30) square large clock (31) wool ancient pencil (32) bangladeshi walking toolbox (33) teal chair (34) square normal-size clock (35) magenta watch (36) iron watch (37) new pencil (38) brown silly key (39) turkish bag (40) walking ball (41) small jar (42) triangular wrench (43) nice banana (44) pyramidal tiny bed (45) square camera (46) cyan bowl (47) brazilian typing shoe (48) rectangular shoe (49) chinese typing screwdriver (50) brand-new scissors (51) pink ridiculous knife (52) snorkeling triangular nice bicycle (53) prismlike necklace (54) indonesian marker (55) black wallet (56) archaic drill (57) old bicycle (58) snorkeling umbrella (59) magenta necklace (60) big canvas (61) blue spoon (62) black sofa (63) rubber brand-new knife (64) circular jar (65) good canvas (66) walking candle (67) rectangular cup (68) pyramidal wallet (69) rubber car key (70) archaic calculator (71) spherical box (72) big drill (73) iron speaker (74) iranian midsize maroon calculator (75) iron old-fashioned scissors (76) plastic old-fashioned vase (77) glass calculator (78) german hiking sunglasses (79) russian whittling spoon (80) exercise brush (81) large scissors (82) egyptian spoon (83) nice car (84) spherical piano (85) cloth fire extinguisher (86) white piano (87) square car key (88) rectangular medium-size box (89) exercise bag (90) triangular speaker (91) normal-size piano (92) spherical big bird (93) triangular pencil (94) steel archaic fork (95) triangular dog (96) mysterious hammer (97) iranian plate (98) pyramidal scissors (99) japanese trash can (100) enormous stapler (101) thai fork (102) maroon repulsive car key (103) repulsive key (104) drinking box\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) ancient steel prismlike enormous gray lovely walking thai ball\n(B) japanese hiking spherical enormous teal silly leather bowl\n(C) driving pyramidal medium-size gray silly iron ancient fork\n(D) pakistani whittling spherical normal-size green obnoxious old-fashioned car key\n(E) exercise pyramidal huge yellow silly old-fashioned leather box\n(F) leather new rectangular large red wonderful smoking congolese scissors\n(G) new wool rectangular small yellow wonderful marker\n(H) new cardboard triangular normal-size violet terrible drinking dog\n(I) german exercise square normal-size magenta repulsive banana\n(J) rubber brand-new rectangular medium-size yellow good necklace\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:130", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) circular box (2) brand-new ring (3) pyramidal necklace (4) german pyramidal car (5) lovely knife (6) brand-new scissors (7) mysterious cloth lamp (8) snorkeling green pen (9) walking vase (10) cloth cup (11) walking car key (12) triangular scissors (13) old bag (14) obnoxious leather vase (15) blue shirt (16) ridiculous plastic watch (17) old small bicycle (18) japanese circular bed (19) black ruler (20) archaic massive camera (21) terrible candle (22) exercise watch (23) awful drill (24) smoking camera (25) ridiculous paper necklace (26) nigerian rectangular pencil (27) little house (28) spherical knife (29) snorkeling violet jar (30) iranian spherical calculator (31) japanese canvas (32) whittling black marker (33) wool lamp (34) good wool bag (35) new lamp (36) ancient small car key (37) archaic toolbox (38) lovely paper umbrella (39) whittling gray brush (40) old toolbox (41) triangular car (42) smoking pink key (43) new calculator (44) glass hat (45) nice rubber bird (46) fiberglass flower pot (47) exercise cup (48) brown bag (49) american prismlike plate (50) exercise pink wrench (51) filipino pyramidal house (52) ridiculous bowl (53) lovely cloth dog (54) eating banana (55) brand-new massive fire extinguisher (56) eating teal watch (57) new medium-size table (58) smoking crimson dog (59) triangular earring (60) japanese sofa (61) awful dog (62) pakistani screwdriver (63) nigerian triangular book (64) old little ring (65) nigerian circular house (66) spherical hiking massive marker (67) snorkeling brown drill (68) nice wool sunglasses (69) indian candle (70) filipino bed (71) black box (72) circular plier (73) huge fire extinguisher (74) silly flower pot (75) good sunglasses (76) cardboard house (77) awful plastic plate (78) wonderful plastic hat (79) old huge canvas (80) indonesian prismlike bag (81) good bicycle (82) tiny wrench (83) cloth car key (84) ancient candle (85) old-fashioned medium-size dog (86) massive spoon (87) indian watch (88) drinking cyan sunglasses (89) aqua bed (90) obnoxious speaker (91) lovely watch (92) circular cup (93) typing black bicycle (94) obnoxious wallet (95) iron bowl (96) wonderful bowl (97) small earring (98) whittling hat (99) paper hat (100) brazilian marker (101) small book (102) silly candle (103) iron banana (104) old-fashioned wallet (105) terrible rubber car key (106) plastic table (107) wonderful rubber camera (108) gray drill (109) nice leather guitar (110) repulsive pen (111) wonderful wood plier (112) spherical camera (113) iranian wrench (114) brown fork (115) ridiculous iron trash can (116) brand-new normal-size ruler (117) mysterious knife (118) violet hammer (119) repulsive car key (120) magenta watch (121) eating piano (122) cardboard marker (123) wonderful wool bag (124) circular scissors (125) wonderful plier (126) mysterious leather pen (127) ancient big vase (128) bangladeshi trash can (129) indonesian prismlike wrench (130) rubber hat (131) smoking pink apple (132) silly earring (133) lovely glass banana (134) circular plate (135) hiking candle (136) large wrench (137) hiking teal chair (138) little clock (139) hiking violet plate (140) vietnamese square bottle (141) triangular pencil (142) exercise hammer (143) repulsive rubber key (144) eating bottle (145) circular bird (146) circular umbrella (147) good glass calculator (148) iranian prismlike wrench (149) smoking cyan car key (150) old-fashioned normal-size book (151) brand-new shirt (152) brand-new stapler (153) cardboard sofa (154) crimson jar (155) prismlike guitar (156) wool table (157) typing hat (158) rectangular necklace (159) ridiculous wool vase (160) black piano (161) brand-new massive wallet (162) prismlike brush (163) triangular toolbox (164) medium-size plate (165) new tiny brush (166) eating teal screwdriver (167) russian rectangular knife (168) repulsive glass chair (169) archaic canvas (170) silly ball (171) violet pen (172) ancient midsize watch (173) little plate (174) ridiculous plastic fork (175) pyramidal pencil (176) nice rubber drill (177) pakistani bed (178) crimson ruler (179) old stapler (180) prismlike bicycle (181) new shoe (182) old-fashioned clock (183) snorkeling fork (184) exercise cyan pen (185) indonesian calculator (186) old-fashioned sunglasses (187) brand-new enormous car (188) driving pencil (189) archaic small chair (190) thai canvas (191) lovely wrench (192) nigerian clock (193) turkish hat (194) typing camera (195) triangular bag (196) ridiculous box (197) ridiculous ruler (198) nigerian ring (199) magenta vase (200) little piano (201) ancient bottle (202) drinking pink candle (203) obnoxious glass box (204) awful wool calculator (205) violet bowl (206) snorkeling plate (207) turkish cyan archaic camera (208) obnoxious paper cup (209) small screwdriver (210) typing maroon ball (211) tiny marker (212) teal knife (213) brazilian trash can (214) iranian rectangular drill (215) whittling crimson ball (216) iranian jar (217) plastic speaker (218) massive jar (219) square pen (220) whittling crimson lamp (221) aqua canvas (222) teal jar (223) ancient spoon (224) small pencil (225) awful hammer (226) wonderful chair (227) old midsize ring (228) ancient big scissors (229) brazilian earring\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) german pyramidal driving white new large stapler\n(B) congolese circular typing violet brand-new midsize rubber jar\n(C) exercise green archaic big iron terrible bed\n(D) cardboard good walking aqua old-fashioned normal-size rectangular japanese lamp\n(E) plastic ridiculous hiking violet brand-new little spherical fork\n(F) triangular walking cyan archaic massive plastic awful wrench\n(G) pakistani square eating cyan old-fashioned large wonderful rubber watch\n(H) square whittling indigo archaic normal-size ridiculous leather bed\n(I) terrible cloth typing teal new large prismlike mexican candle\n(J) walking magenta archaic midsize mysterious glass book\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:131", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) wood ridiculous canvas (2) steel watch (3) rectangular watch (4) enormous camera (5) large stapler (6) yellow umbrella (7) chinese enormous vase (8) plastic hammer (9) cardboard good shoe (10) circular wallet (11) steel mysterious fork (12) repulsive wrench (13) indigo smoking vase (14) rubber wonderful umbrella (15) new square trash can (16) pyramidal cup (17) archaic triangular brush (18) maroon exercise saw (19) lovely candle (20) glass mysterious car (21) brand-new necklace (22) rectangular house (23) terrible sunglasses (24) brand-new plier (25) american normal-size key (26) brand-new prismlike calculator (27) violet eating guitar (28) lovely toolbox (29) medium-size bird (30) enormous necklace (31) normal-size bottle (32) brand-new rectangular vase (33) brown driving cup (34) spherical chair (35) wood bed (36) pakistani midsize chair (37) triangular hat (38) red clock (39) new prismlike vase (40) rectangular pencil (41) tiny hammer (42) fiberglass apple (43) german little bottle (44) medium-size bed (45) plastic lovely calculator (46) blue apple (47) eating clock (48) green hiking bicycle (49) triangular key (50) german sofa (51) bangladeshi stapler (52) gray apple (53) brand-new jar (54) mysterious hat (55) maroon exercise vase (56) wool silly ring (57) teal whittling candle (58) rectangular screwdriver (59) lovely house (60) congolese small pencil (61) rubber car key (62) good spoon (63) archaic plier (64) cardboard banana (65) german big bottle (66) fiberglass guitar (67) hiking saw (68) lovely bottle (69) square pencil (70) blue shoe (71) archaic wrench (72) rubber table (73) large flower pot (74) indigo exercise calculator (75) indonesian massive ball (76) crimson walking key (77) cyan typing house (78) ancient pyramidal book (79) old candle (80) green knife (81) ancient banana (82) nice flower pot (83) mexican big speaker (84) little bird (85) small wallet (86) ridiculous trash can (87) tiny new terrible toolbox (88) smoking necklace (89) archaic watch (90) small banana (91) enormous guitar (92) thai prismlike plastic hat (93) maroon house (94) good knife (95) ancient house (96) fiberglass bicycle (97) whittling saw (98) old-fashioned key (99) vietnamese large clock (100) old-fashioned shoe (101) green umbrella (102) square brush (103) tiny box (104) ancient clock (105) old camera (106) fiberglass ring (107) mexican drill (108) nigerian scissors (109) gray hiking guitar (110) normal-size sunglasses (111) drinking trash can (112) ridiculous lamp (113) whittling book (114) old-fashioned table (115) square saw (116) big pen (117) rectangular guitar (118) exercise camera (119) iron obnoxious flower pot (120) violet fork (121) triangular candle (122) silly bird (123) good toolbox (124) mexican huge shoe (125) red ring (126) drinking table (127) archaic apple (128) typing shirt (129) old triangular box (130) indigo wallet (131) snorkeling key (132) small bowl (133) plastic cup (134) wonderful car key (135) old-fashioned sofa (136) aqua typing hammer (137) small fork (138) old-fashioned pencil (139) big earring (140) enormous brush (141) repulsive plate (142) leather awful lamp (143) leather obnoxious trash can (144) drinking flower pot (145) red bottle (146) exercise necklace (147) drinking bowl (148) turkish cup (149) new triangular box (150) ridiculous pencil (151) prismlike marker\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) filipino normal-size old rectangular cloth good red walking earring\n(B) tiny old spherical steel wonderful exercise violet umbrella\n(C) gray hiking old-fashioned rectangular cardboard repulsive apple\n(D) eating old-fashioned spherical rubber silly midsize mexican car\n(E) vietnamese tiny ancient pyramidal iron awful screwdriver\n(F) ancient rectangular wool lovely white eating book\n(G) snorkeling teal brand-new triangular wood mysterious shirt\n(H) yellow driving new triangular glass mysterious medium-size calculator\n(I) pakistani small old triangular fiberglass repulsive drinking cyan book\n(J) brazilian little ancient square wood nice aqua wrench\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:132", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) violet rectangular ball (2) nigerian massive wallet (3) silly archaic scissors (4) lovely old-fashioned flower pot (5) midsize bed (6) japanese hammer (7) teal spherical bird (8) turkish book (9) big awful triangular ruler (10) good dog (11) spherical camera (12) pakistani normal-size necklace (13) glass driving plier (14) leather bowl (15) smoking necklace (16) mexican piano (17) thai small pencil (18) square hat (19) small sunglasses (20) egyptian sunglasses (21) pink house (22) rubber shoe (23) mexican normal-size umbrella (24) pyramidal earring (25) pyramidal toolbox (26) crimson drill (27) aqua guitar (28) iranian little table (29) red guitar (30) leather chair (31) exercise camera (32) filipino vase (33) indigo pyramidal book (34) maroon rectangular spoon (35) glass key (36) mexican little watch (37) mysterious earring (38) leather eating sunglasses (39) bangladeshi new violet wrench (40) mysterious banana (41) mexican book (42) plastic hiking bed (43) triangular piano (44) new ring (45) aqua fire extinguisher (46) archaic stapler (47) driving camera (48) cardboard walking hammer (49) obnoxious brand-new calculator (50) indigo table (51) terrible brand-new ring (52) japanese chair (53) spherical plier (54) steel hiking box (55) american large ball (56) egyptian hammer (57) russian wrench (58) indian ball (59) turkish midsize bottle (60) mexican jar (61) glass box (62) typing ruler (63) hiking spoon (64) white spherical knife (65) silly guitar (66) fiberglass hiking umbrella (67) pink spherical clock (68) whittling fork (69) normal-size bird (70) ethiopian medium-size clock (71) mysterious scissors (72) crimson pyramidal earring (73) yellow banana (74) wool snorkeling pencil (75) good flower pot (76) hiking stapler (77) iron hiking key (78) paper eating bed (79) pakistani apple (80) paper canvas (81) silly necklace (82) gray triangular bicycle (83) fiberglass bottle (84) yellow car (85) brand-new table (86) white fire extinguisher (87) nice new jar (88) little speaker (89) crimson chair (90) cloth banana (91) archaic bed (92) snorkeling bicycle (93) wonderful old-fashioned bottle (94) tiny saw (95) archaic wallet (96) new shirt (97) spherical bird (98) ancient trash can (99) indigo prismlike camera (100) german medium-size guitar (101) ridiculous plier (102) triangular canvas (103) snorkeling trash can (104) white square candle (105) cardboard eating plier (106) cardboard banana (107) triangular watch (108) silly vase (109) cardboard eating dog (110) awful house (111) awful old wrench (112) russian banana (113) indonesian huge toolbox (114) triangular car (115) glass walking wrench (116) indigo triangular wrench (117) old-fashioned earring (118) fiberglass bird (119) good old bird (120) awful drill (121) obnoxious brand-new guitar (122) drinking watch (123) teal rectangular sunglasses (124) pink circular plate (125) iron canvas (126) iron bowl (127) old-fashioned sunglasses (128) spherical lamp (129) nigerian midsize bicycle (130) rubber table (131) green circular table (132) japanese medium-size brush (133) new hammer (134) archaic bag (135) cyan stapler\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) tiny terrible ancient violet pyramidal wool exercise stapler\n(B) walking rubber mysterious old-fashioned white rectangular big stapler\n(C) whittling leather silly brand-new maroon spherical normal-size mexican cup\n(D) leather typing terrible new yellow pyramidal bowl\n(E) iranian big terrible old-fashioned aqua prismlike snorkeling leather box\n(F) glass smoking repulsive old-fashioned blue spherical massive wallet\n(G) congolese enormous wonderful ancient white prismlike bicycle\n(H) brazilian small wonderful old maroon square typing apple\n(I) plastic driving ridiculous brand-new blue spherical midsize bangladeshi ruler\n(J) medium-size awful brand-new blue spherical exercise wood piano\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:133", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) brand-new fire extinguisher (2) cardboard trash can (3) wool candle (4) large key (5) enormous plier (6) vietnamese maroon speaker (7) terrible large bicycle (8) triangular fork (9) violet trash can (10) silly big knife (11) wonderful little brush (12) good bird (13) congolese blue book (14) pyramidal car (15) wonderful guitar (16) awful hammer (17) obnoxious little earring (18) archaic iron drill (19) black guitar (20) good massive scissors (21) brand-new wood banana (22) driving stapler (23) archaic glass spoon (24) driving trash can (25) midsize square indigo chair (26) cardboard wallet (27) pakistani white brush (28) normal-size plate (29) yellow book (30) pyramidal exercise hat (31) awful tiny piano (32) iron car (33) lovely exercise iranian bird (34) brand-new iron car (35) old leather bird (36) circular drinking brush (37) rectangular driving chair (38) square snorkeling earring (39) medium-size watch (40) midsize pencil (41) german maroon wrench (42) cloth bag (43) enormous car key (44) spherical whittling table (45) small hammer (46) big piano (47) cardboard guitar (48) old cloth drill (49) normal-size candle (50) vietnamese banana (51) circular drinking knife (52) archaic plate (53) cardboard bicycle (54) midsize shirt (55) brand-new ball (56) small fire extinguisher (57) repulsive ball (58) midsize marker (59) prismlike earring (60) crimson car (61) square hiking hat (62) spherical trash can (63) midsize brush (64) bangladeshi maroon wrench (65) archaic glass hat (66) circular table (67) prismlike knife (68) hiking scissors (69) little toolbox (70) new wood vase (71) turkish drill (72) filipino car key (73) square wrench (74) awful small earring (75) typing banana (76) pyramidal brush (77) new wool bowl (78) congolese pen (79) ancient earring (80) turkish pink brush (81) fiberglass umbrella (82) japanese marker (83) vietnamese lamp (84) cloth pen (85) magenta plier (86) massive vase (87) wonderful wallet (88) pyramidal snorkeling candle (89) square hammer (90) driving plier (91) brazilian ruler (92) bangladeshi toolbox (93) wonderful medium-size shirt (94) prismlike eating saw (95) indian magenta bottle (96) yellow bed (97) lovely camera (98) old wallet (99) new steel wrench (100) indian black shirt (101) american red lamp (102) teal bed (103) tiny earring (104) pyramidal typing apple (105) prismlike bed (106) crimson bowl (107) eating candle (108) triangular wallet (109) ancient wool cup (110) vietnamese teal ball (111) obnoxious big house (112) thai blue camera (113) rectangular apple (114) lovely enormous key (115) midsize shoe (116) turkish ruler (117) indigo car (118) iranian bowl (119) brand-new glass ruler (120) black necklace (121) egyptian bag (122) silly ruler (123) glass stapler (124) ethiopian chair (125) ridiculous ring\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) terrible small triangular driving german pink marker\n(B) wool square typing filipino red small obnoxious plier\n(C) iron brand-new rectangular eating japanese teal midsize good watch\n(D) terrible enormous pyramidal driving egyptian brown old banana\n(E) old plastic pyramidal hiking bangladeshi red enormous obnoxious bag\n(F) new cloth pyramidal drinking mexican violet normal-size hammer\n(G) old-fashioned leather circular hiking bangladeshi magenta banana\n(H) terrible tiny circular walking chinese white wood new wallet\n(I) large pyramidal snorkeling egyptian cyan old-fashioned wood banana\n(J) good little spherical typing chinese yellow wool car\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:136", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) pakistani fire extinguisher (2) driving bag (3) wonderful box (4) ancient chair (5) mysterious stapler (6) maroon brush (7) blue sofa (8) rubber egyptian knife (9) cardboard box (10) obnoxious dog (11) rectangular flower pot (12) magenta small toolbox (13) brand-new wonderful bowl (14) smoking rectangular fork (15) black small knife (16) crimson midsize bottle (17) big box (18) cloth watch (19) egyptian box (20) nigerian sofa (21) wood german bed (22) typing rectangular scissors (23) circular screwdriver (24) smoking pyramidal pencil (25) wool bird (26) massive spoon (27) ancient good lamp (28) archaic dog (29) driving pyramidal wallet (30) japanese brand-new medium-size hat (31) drinking clock (32) typing spoon (33) brazilian piano (34) spherical bird (35) brown tiny calculator (36) gray spoon (37) obnoxious watch (38) old mysterious screwdriver (39) white umbrella (40) brand-new good wallet (41) snorkeling bicycle (42) triangular camera (43) black massive drill (44) rectangular toolbox (45) ancient table (46) repulsive key (47) enormous clock (48) huge fire extinguisher (49) brand-new bed (50) brand-new nice chair (51) hiking rectangular brush (52) fiberglass ethiopian marker (53) new obnoxious book (54) wood vietnamese wrench (55) fiberglass mysterious pink piano (56) rubber vietnamese apple (57) leather ring (58) aqua tiny brush (59) hiking box (60) turkish ring\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) square snorkeling ancient lovely violet little american bag\n(B) cardboard indonesian ancient terrible teal medium-size rectangular bed\n(C) iron brazilian ancient wonderful violet massive typing spoon\n(D) american archaic lovely aqua medium-size pyramidal whittling fork\n(E) cardboard turkish ancient repulsive brown small ruler\n(F) exercise prismlike old-fashioned wonderful pink midsize bowl\n(G) cloth russian old-fashioned lovely white normal-size pyramidal driving lamp\n(H) hiking ancient silly maroon large filipino glass pencil\n(I) circular new terrible aqua small american iron dog\n(J) square driving archaic repulsive crimson tiny japanese plastic wallet\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:141", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) american shirt (2) glass spoon (3) large old drill (4) cardboard hammer (5) new lamp (6) eating plate (7) eating mysterious ancient key (8) typing car key (9) ridiculous clock (10) massive ancient chair (11) normal-size archaic book (12) mysterious pink guitar (13) snorkeling clock (14) big old-fashioned trash can (15) egyptian shoe (16) small car (17) nigerian smoking umbrella (18) ethiopian maroon normal-size stapler (19) old-fashioned calculator (20) plastic triangular box (21) brand-new brush (22) terrible magenta chair (23) rectangular wrench (24) indian whittling house (25) spherical bed (26) circular lamp (27) massive guitar (28) glass chair (29) circular umbrella (30) gray sofa (31) chinese flower pot (32) circular bicycle (33) rubber pyramidal toolbox (34) silly pink trash can (35) glass lamp (36) indigo apple (37) large fork (38) vietnamese car (39) brazilian apple (40) pakistani bowl (41) huge brand-new car key (42) glass shirt (43) old-fashioned earring (44) eating saw (45) medium-size stapler (46) bangladeshi eating screwdriver (47) glass square scissors (48) smoking car (49) obnoxious violet camera (50) leather hat (51) terrible pink bicycle (52) awful vase (53) prismlike car (54) enormous sofa (55) russian typing plier (56) pakistani hiking table (57) medium-size bird (58) mysterious cup (59) leather square chair (60) large archaic candle (61) iron spherical cup (62) archaic pencil (63) huge ancient bicycle (64) brand-new ruler (65) wood calculator (66) exercise calculator (67) thai ring (68) wonderful indigo screwdriver (69) little trash can (70) pyramidal pencil (71) rubber marker (72) cyan bicycle (73) snorkeling wrench (74) prismlike wrench (75) typing flower pot (76) spherical ruler (77) old-fashioned wrench (78) filipino driving pencil (79) massive key (80) fiberglass square plier (81) old fire extinguisher (82) obnoxious black fire extinguisher (83) square stapler (84) brand-new box (85) good indigo umbrella (86) terrible magenta ball (87) chinese walking bag (88) wonderful violet plier (89) turkish trash can (90) eating sunglasses (91) gray umbrella (92) chinese eating ring (93) leather apple (94) good teal hammer (95) indigo table (96) medium-size ancient hat (97) prismlike bowl (98) mysterious trash can (99) ancient sofa (100) ridiculous shirt (101) triangular bed (102) midsize ancient toolbox (103) russian ball (104) pyramidal earring (105) yellow hat (106) maroon pen (107) spherical sunglasses (108) paper lamp (109) normal-size bed (110) wonderful aqua fire extinguisher (111) huge shoe (112) huge box (113) cloth hammer (114) ridiculous banana (115) smoking banana (116) obnoxious flower pot (117) whittling speaker (118) large pencil (119) wonderful yellow necklace (120) big ancient bed (121) smoking lamp (122) paper pyramidal plate (123) triangular brush (124) tiny old camera (125) ridiculous plier (126) square car (127) black pen (128) small bird (129) big ancient house (130) indonesian wallet (131) glass pyramidal car key (132) iranian clock (133) hiking knife (134) square fork (135) archaic car (136) filipino hiking fork (137) congolese flower pot (138) silly crimson screwdriver (139) square table (140) indonesian bottle (141) nice cup (142) pyramidal speaker (143) egyptian typing watch (144) driving key\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) nigerian snorkeling obnoxious aqua midsize ancient spherical fiberglass piano\n(B) walking terrible green enormous archaic triangular steel guitar\n(C) thai drinking lovely white normal-size old paper plier\n(D) filipino drinking repulsive gray huge brand-new triangular sofa\n(E) iron spherical repulsive violet tiny ancient exercise watch\n(F) egyptian smoking good gray midsize old plastic prismlike book\n(G) spherical lovely violet medium-size new drinking mexican plate\n(H) prismlike glass good magenta medium-size new driving dog\n(I) cloth circular wonderful green big old exercise vietnamese hat\n(J) japanese drinking ridiculous cyan medium-size archaic key\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:142", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) pyramidal shirt (2) driving lovely saw (3) whittling awful umbrella (4) snorkeling repulsive marker (5) yellow medium-size saw (6) archaic earring (7) old-fashioned triangular camera (8) violet massive candle (9) awful toolbox (10) violet midsize bird (11) wonderful vase (12) whittling bottle (13) prismlike sunglasses (14) normal-size spoon (15) fiberglass japanese necklace (16) gray watch (17) plastic wallet (18) old dog (19) silly wrench (20) new square wrench (21) paper russian key (22) old-fashioned knife (23) big car (24) rubber book (25) cardboard american guitar (26) old prismlike bowl (27) brand-new scissors (28) brown tiny piano (29) old prismlike lamp (30) brand-new triangular key (31) silly trash can (32) triangular clock (33) paper wrench (34) terrible umbrella (35) brown massive stapler (36) cloth house (37) driving awful chair (38) steel speaker (39) eating nice shoe (40) eating good watch (41) ridiculous knife (42) bangladeshi toolbox (43) gray huge fork (44) exercise terrible scissors (45) square vase (46) hiking banana (47) massive table (48) whittling candle (49) old-fashioned watch (50) huge fork (51) terrible pen (52) ridiculous marker (53) archaic rectangular toolbox (54) typing shoe (55) old-fashioned umbrella (56) snorkeling lovely ruler (57) drinking repulsive book (58) prismlike earring (59) new triangular trash can (60) square cup (61) black enormous plier (62) obnoxious toolbox (63) vietnamese hammer (64) new square chair (65) archaic bed (66) repulsive chair (67) rectangular stapler (68) tiny canvas (69) old triangular jar (70) pink guitar (71) drinking stapler (72) maroon umbrella (73) iron bottle (74) eating silly bird (75) drinking pencil (76) cyan massive stapler (77) pyramidal pen (78) enormous key (79) ancient square hammer (80) rectangular flower pot (81) ancient brush (82) iron thai toolbox (83) archaic rectangular car (84) brand-new pyramidal guitar (85) german speaker (86) old-fashioned triangular bowl (87) prismlike wallet (88) archaic spherical bed (89) cloth pakistani scissors (90) walking terrible clock (91) brand-new square bag (92) awful canvas (93) red huge ball (94) ancient bowl (95) teal big camera (96) cloth earring (97) eating silly hat (98) big box (99) ethiopian trash can (100) smoking terrible drill (101) ancient circular car key (102) huge piano (103) new pyramidal banana (104) brand-new triangular bottle (105) ridiculous fiberglass normal-size cup (106) whittling german aqua marker (107) blue huge necklace (108) square marker (109) small brush (110) drinking screwdriver (111) glass bangladeshi camera (112) typing mysterious ruler (113) new bowl (114) teal small banana (115) old-fashioned circular ruler (116) crimson marker (117) typing bird (118) whittling terrible chair (119) leather turkish screwdriver (120) archaic necklace (121) maroon large chair (122) large candle (123) little fire extinguisher (124) new spherical camera (125) nice bird (126) leather candle (127) archaic plier (128) ridiculous apple (129) little shoe (130) archaic rectangular bottle (131) black medium-size vase (132) typing jar (133) pyramidal bird (134) ridiculous plier (135) brand-new bicycle (136) eating saw (137) big saw (138) ancient square banana (139) new apple (140) mysterious bowl (141) steel brazilian chair (142) repulsive watch (143) teal midsize bag (144) snorkeling jar (145) wonderful shirt (146) paper calculator (147) indian table (148) obnoxious wrench (149) violet tiny wallet (150) steel vase (151) exercise bottle (152) drinking camera (153) awful car (154) mysterious plier (155) old-fashioned spherical plier (156) brown midsize calculator (157) snorkeling flower pot (158) old-fashioned rectangular trash can (159) obnoxious speaker (160) thai shoe\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) exercise lovely cardboard german indigo medium-size spherical old guitar\n(B) hiking obnoxious wood egyptian pink huge shirt\n(C) smoking obnoxious steel russian black medium-size old-fashioned marker\n(D) terrible cardboard pakistani violet little rectangular archaic fire extinguisher\n(E) old circular plastic mexican brown midsize mysterious vase\n(F) archaic prismlike glass congolese teal enormous guitar\n(G) rectangular rubber filipino blue medium-size wonderful smoking toolbox\n(H) smoking lovely steel nigerian black small archaic rectangular apple\n(I) awful cloth german magenta medium-size brand-new prismlike vase\n(J) brand-new cardboard indian red large silly smoking scissors\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:145", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) iron driving bowl (2) prismlike mysterious car (3) japanese new saw (4) green midsize car key (5) prismlike plier (6) terrible brush (7) pyramidal repulsive watch (8) red enormous shoe (9) medium-size bird (10) brand-new marker (11) violet little scissors (12) square trash can (13) brazilian ancient hammer (14) brown large fork (15) huge hat (16) mysterious scissors (17) spherical ruler (18) russian knife (19) snorkeling lamp (20) triangular bottle (21) paper watch (22) little fork (23) prismlike ridiculous jar (24) circular sunglasses (25) old-fashioned screwdriver (26) ridiculous trash can (27) square ruler (28) pakistani brand-new bird (29) wool pencil (30) exercise saw (31) prismlike shoe (32) tiny book (33) drinking necklace (34) iron box (35) whittling candle (36) paper big mexican speaker (37) obnoxious wallet (38) drinking hat (39) large ring (40) iranian ruler (41) gray drill (42) gray scissors (43) triangular terrible fork (44) teal massive spoon (45) paper smoking watch (46) pyramidal wonderful saw (47) black canvas (48) mysterious trash can (49) magenta large bag (50) teal tiny bird (51) green normal-size bag (52) huge pencil (53) wool hammer (54) archaic key (55) vietnamese flower pot (56) nice lamp (57) pyramidal shoe (58) ridiculous ruler (59) walking spoon (60) circular silly screwdriver (61) old-fashioned umbrella (62) vietnamese archaic jar (63) eating vase (64) spherical obnoxious clock (65) prismlike lovely canvas (66) blue medium-size wallet (67) steel ruler (68) terrible jar (69) ancient bed (70) whittling lamp (71) indonesian old toolbox (72) whittling ring (73) brown car (74) silly table (75) archaic box (76) repulsive car key (77) archaic table (78) magenta little scissors (79) bangladeshi ancient plate (80) old-fashioned clock (81) wood exercise bowl (82) bangladeshi old knife (83) cardboard driving key (84) yellow pencil (85) repulsive earring (86) snorkeling canvas (87) spherical good shirt (88) snorkeling teal brand-new watch (89) violet knife (90) indigo enormous clock (91) american new earring (92) enormous marker (93) egyptian table (94) egyptian ancient hat (95) red bicycle (96) white car (97) steel snorkeling bicycle (98) glass ball (99) brand-new ball (100) ancient trash can (101) spherical trash can (102) nice dog (103) triangular silly earring (104) spherical ball (105) obnoxious plate (106) ethiopian archaic hammer (107) triangular terrible ball (108) filipino jar (109) violet dog (110) archaic camera (111) pink piano (112) cardboard canvas (113) indonesian speaker (114) russian archaic bed (115) japanese scissors (116) brand-new cup (117) white tiny bed (118) square obnoxious ring (119) square shirt (120) square terrible wrench (121) turkish earring (122) midsize shoe (123) aqua dog (124) turkish camera (125) prismlike jar (126) normal-size drill (127) wood smoking key (128) pyramidal toolbox (129) cardboard typing stapler (130) teal big piano (131) prismlike good camera (132) mysterious stapler (133) german hammer (134) rubber walking shirt (135) rubber earring (136) paper whittling spoon (137) tiny bicycle (138) archaic bicycle (139) brand-new drill (140) old-fashioned saw (141) wool car key (142) steel drinking bottle (143) spherical obnoxious apple (144) glass driving watch (145) driving dog (146) yellow bag (147) pyramidal nice banana (148) magenta necklace (149) ancient ring (150) pink small ruler (151) medium-size watch (152) pink tiny bed (153) russian bird (154) ethiopian sunglasses (155) walking vase (156) fiberglass calculator (157) leather ruler (158) nigerian canvas (159) circular ring (160) small necklace (161) midsize wrench (162) driving earring\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) terrible spherical pink enormous iranian brand-new key\n(B) whittling green huge bangladeshi old-fashioned triangular wonderful candle\n(C) triangular nice yellow huge german ancient brush\n(D) rubber eating pink tiny brazilian new lovely brush\n(E) square good brown medium-size iranian ancient whittling canvas\n(F) mysterious prismlike violet tiny indian old-fashioned drinking hat\n(G) teal big pakistani old-fashioned terrible circular sofa\n(H) hiking teal midsize vietnamese ancient silly prismlike book\n(I) plastic smoking brown medium-size turkish brand-new terrible spherical knife\n(J) paper drinking teal large chinese ancient screwdriver\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:146", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) massive rectangular hat (2) drinking car key (3) iron earring (4) brand-new cyan hat (5) archaic red table (6) midsize circular camera (7) brand-new crimson sunglasses (8) massive bed (9) good piano (10) triangular knife (11) turkish plier (12) violet necklace (13) large wallet (14) obnoxious cloth banana (15) enormous banana (16) hiking lamp (17) medium-size rectangular car key (18) small circular canvas (19) silly iron car (20) archaic cyan knife (21) awful paper knife (22) normal-size square lamp (23) wonderful leather stapler (24) iron lamp (25) wonderful scissors (26) smoking table (27) old magenta car key (28) normal-size marker (29) nice cardboard chair (30) chinese drinking house (31) cardboard marker (32) egyptian house (33) pyramidal sunglasses (34) ancient violet lamp (35) new earring (36) ancient apple (37) old maroon bird (38) wonderful pen (39) hiking car key (40) good chair (41) wood drill (42) indian pencil (43) cyan car (44) ethiopian drill (45) russian drinking bird (46) ridiculous cardboard car key (47) little key (48) japanese snorkeling clock (49) brand-new guitar (50) japanese bottle (51) snorkeling house (52) new wallet (53) normal-size rectangular bicycle (54) archaic bowl (55) old-fashioned shoe (56) medium-size rectangular ball (57) terrible saw (58) iranian clock (59) ancient blue candle (60) exercise knife (61) vietnamese chair (62) red drill (63) leather screwdriver (64) brand-new blue ruler (65) old house (66) cloth trash can (67) aqua necklace (68) pyramidal car key (69) indigo camera (70) good cloth apple (71) circular jar (72) thai hiking car key (73) plastic hat (74) little watch (75) triangular brush (76) terrible fire extinguisher (77) turkish snorkeling chair (78) drinking hammer (79) bangladeshi candle (80) thai snorkeling key (81) obnoxious house (82) normal-size square clock (83) iranian screwdriver (84) white jar (85) black shoe (86) circular dog (87) old indigo trash can (88) egyptian camera (89) ancient piano (90) large sofa (91) midsize spherical knife (92) whittling marker (93) archaic plate (94) old knife (95) drinking bicycle (96) ancient shirt (97) little wallet (98) green table (99) repulsive bed (100) indonesian book (101) old trash can (102) massive circular bicycle (103) iranian ruler (104) old-fashioned car (105) walking ball (106) silly steel book (107) nigerian ball (108) iron car (109) egyptian bed (110) cloth plate (111) small knife (112) silly book (113) huge triangular dog (114) awful chair (115) repulsive bowl (116) driving plate (117) obnoxious glass camera (118) new violet stapler (119) indian exercise brush (120) small ball (121) red bag (122) big wallet (123) medium-size bowl (124) square bowl (125) circular book (126) old-fashioned table (127) spherical car (128) huge chair (129) iron ruler (130) mexican exercise drill (131) brown ring (132) terrible camera (133) midsize circular bird (134) new canvas (135) massive plier (136) brand-new bag (137) egyptian drinking trash can (138) large square calculator (139) old magenta toolbox (140) old-fashioned magenta toolbox (141) huge rubber nigerian bottle (142) new house (143) massive rectangular car (144) ancient camera (145) terrible table (146) old teal shirt (147) brand-new hammer (148) egyptian typing speaker (149) terrible bicycle (150) smoking drill (151) black box (152) old pink speaker (153) magenta toolbox (154) wool banana (155) mexican eating shoe (156) snorkeling watch (157) circular bird (158) square vase (159) plastic marker (160) ancient spoon (161) congolese bed (162) spherical shirt (163) old-fashioned bicycle (164) large marker (165) prismlike good exercise banana (166) archaic crimson hammer (167) german hiking brush (168) nigerian snorkeling key (169) wonderful watch (170) obnoxious rubber wrench (171) gray wallet (172) brand-new clock (173) smoking key (174) ancient ruler (175) archaic marker (176) good wood speaker (177) midsize wallet (178) pyramidal bicycle (179) brand-new canvas (180) archaic magenta speaker (181) wood flower pot (182) ancient brown watch (183) pakistani walking car key (184) pakistani toolbox (185) little square table\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) gray archaic obnoxious plastic filipino whittling triangular saw\n(B) archaic gray wonderful cloth chinese typing bowl\n(C) archaic white silly rubber american driving pyramidal huge ruler\n(D) aqua new mysterious cardboard russian typing wallet\n(E) silly glass indian exercise brown ancient drill\n(F) big pyramidal nice fiberglass indonesian exercise archaic gray drill\n(G) old-fashioned lovely rubber vietnamese driving rectangular medium-size flower pot\n(H) spherical mysterious glass thai snorkeling ancient white plier\n(I) normal-size circular terrible fiberglass thai typing brand-new vase\n(J) small rectangular awful cloth congolese smoking toolbox\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:148", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) red bird (2) brand-new square bag (3) ancient car key (4) whittling bicycle (5) nice cup (6) new medium-size leather pen (7) old-fashioned prismlike watch (8) old-fashioned circular wrench (9) archaic pyramidal vase (10) hiking banana (11) paper egyptian flower pot (12) rectangular box (13) drinking large screwdriver (14) mexican bed (15) steel pakistani wrench (16) old-fashioned pyramidal cup (17) triangular bird (18) ancient triangular banana (19) ancient watch (20) indonesian lamp (21) pink terrible toolbox (22) ethiopian canvas (23) glass candle (24) new prismlike chair (25) rectangular speaker (26) drinking earring (27) plastic clock (28) prismlike whittling indonesian apple (29) silly bicycle (30) old plate (31) old spherical box (32) brand-new house (33) brown repulsive speaker (34) congolese ball (35) exercise enormous earring (36) indian sofa (37) huge piano (38) exercise ring (39) green good piano (40) exercise knife (41) bangladeshi cup (42) hiking bed (43) fiberglass american fire extinguisher (44) glass necklace (45) wool book (46) ancient key (47) triangular spoon (48) leather sunglasses (49) typing shoe (50) nice book (51) thai shoe (52) smoking car (53) red terrible stapler (54) cardboard cup (55) iron iranian chair (56) repulsive knife (57) yellow bottle\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) typing normal-size steel iranian nice crimson piano\n(B) walking massive paper chinese magenta terrible shoe\n(C) archaic spherical eating normal-size plastic filipino mysterious pink watch\n(D) awful exercise medium-size wood mexican square old wallet\n(E) teal awful drinking massive cardboard brazilian rectangular shirt\n(F) magenta repulsive snorkeling tiny cloth chinese wrench\n(G) archaic circular exercise huge wood vietnamese calculator\n(H) archaic rectangular hiking medium-size paper chinese nice knife\n(I) spherical smoking big cloth egyptian brown ridiculous plier\n(J) brown mysterious walking tiny wool congolese circular old-fashioned candle\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:150", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) egyptian wood necklace (2) maroon ring (3) massive plier (4) green apple (5) midsize necklace (6) archaic dog (7) ancient wallet (8) new yellow plate (9) brazilian marker (10) obnoxious fork (11) brand-new earring (12) terrible circular camera (13) wood camera (14) old bed (15) archaic ball (16) brown clock (17) paper little indigo guitar (18) archaic cyan bicycle (19) typing drill (20) silly prismlike pencil (21) ethiopian wool flower pot (22) leather bird (23) bangladeshi fiberglass speaker (24) whittling hat (25) tiny walking flower pot (26) brazilian candle (27) japanese glass bowl (28) prismlike clock (29) rectangular bicycle (30) green table (31) congolese paper trash can (32) violet scissors (33) indian knife (34) leather umbrella (35) rectangular house (36) new pink wallet (37) pink shirt (38) terrible bird (39) snorkeling brush (40) typing earring (41) brazilian steel pencil (42) midsize driving ring (43) ridiculous spherical plier (44) spherical bird (45) exercise speaker (46) good spherical camera (47) ancient necklace (48) yellow bed (49) ancient car key (50) spherical bed (51) old brush (52) indonesian cloth chair (53) obnoxious rectangular saw (54) wonderful lamp (55) japanese hat (56) turkish wool book (57) normal-size bottle (58) fiberglass pencil (59) normal-size canvas (60) walking bottle (61) indian steel trash can (62) rubber dog (63) ancient teal watch (64) vietnamese umbrella (65) maroon marker (66) archaic hammer (67) old-fashioned pink drill (68) large shirt (69) awful pyramidal sunglasses (70) square candle (71) rectangular car key (72) brand-new spoon (73) japanese plastic earring (74) glass scissors (75) mysterious piano (76) old green plate (77) rectangular scissors (78) cyan hammer (79) typing cup (80) terrible prismlike piano (81) little smoking house (82) silly umbrella (83) old ball (84) thai toolbox (85) indonesian fiberglass bicycle (86) vietnamese calculator (87) snorkeling toolbox (88) walking apple (89) filipino wool jar (90) small driving ring (91) drinking marker (92) medium-size plate (93) pakistani leather flower pot (94) circular canvas (95) snorkeling canvas (96) egyptian hat (97) ancient car (98) indian fiberglass key (99) pakistani earring (100) bangladeshi plastic bag (101) archaic piano (102) iron shirt (103) exercise bowl (104) mexican plastic ruler (105) little drinking pencil (106) new trash can (107) triangular saw (108) ancient speaker (109) medium-size flower pot (110) little whittling watch (111) exercise shirt (112) terrible square bag (113) triangular key (114) cyan pen (115) enormous screwdriver (116) wood knife (117) new lamp (118) massive jar (119) small wallet (120) white ruler (121) mysterious trash can (122) old cyan saw (123) mysterious key (124) paper banana (125) enormous eating car key (126) massive fork (127) old hat (128) enormous ruler (129) steel sunglasses (130) congolese iron bird (131) archaic magenta vase (132) snorkeling ruler (133) rectangular shirt (134) typing scissors (135) good plier (136) enormous whittling ring (137) huge key (138) huge eating calculator (139) old toolbox (140) white plier (141) congolese cup (142) new flower pot (143) iron cup (144) pink fork (145) exercise jar (146) good circular bed (147) drinking scissors (148) ancient bag (149) obnoxious ruler (150) whittling pencil (151) silly watch (152) cloth hammer (153) white clock (154) new bicycle (155) medium-size walking lamp (156) congolese glass wallet (157) tiny snorkeling sofa (158) walking house (159) lovely triangular knife (160) exercise bicycle (161) new indigo ball (162) brazilian jar (163) archaic bed (164) wood apple (165) new car (166) turkish shoe (167) repulsive table (168) ridiculous pyramidal shoe (169) massive earring (170) black wrench (171) rectangular pencil (172) big smoking piano (173) ancient aqua bowl (174) violet shirt (175) japanese ruler (176) square ruler (177) square necklace (178) old umbrella (179) nice knife (180) small bicycle (181) indian leather ruler (182) snorkeling vase (183) paper piano (184) awful triangular pen (185) ancient violet marker (186) old-fashioned candle (187) congolese steel camera (188) walking wrench (189) iranian smoking ancient pencil (190) iron plate (191) american bag (192) old-fashioned brown wrench (193) thai spoon (194) ancient gray car key (195) old-fashioned ruler (196) leather guitar (197) cloth watch (198) brand-new violet toolbox (199) vietnamese ring (200) huge typing bird (201) square dog (202) whittling stapler (203) mysterious pyramidal car (204) spherical dog (205) bangladeshi fiberglass jar (206) indian plastic car key (207) huge eating vase (208) pyramidal earring (209) nice toolbox (210) obnoxious candle (211) steel clock (212) yellow scissors (213) pakistani brush (214) midsize saw (215) exercise chair (216) fiberglass stapler (217) new black drill (218) glass pen (219) normal-size marker (220) ethiopian rubber lamp (221) huge clock (222) new plier (223) wood flower pot (224) rubber pen (225) medium-size calculator (226) terrible rectangular chair (227) old-fashioned magenta calculator (228) small whittling speaker (229) repulsive rectangular bird (230) archaic plate (231) nice prismlike lamp (232) nice flower pot (233) terrible rectangular plier (234) wool table (235) wonderful chair\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) brazilian glass massive exercise brand-new red nice canvas\n(B) triangular lovely medium-size snorkeling brand-new black wrench\n(C) pyramidal big driving archaic brown fiberglass nigerian bed\n(D) ridiculous square enormous exercise archaic yellow bag\n(E) fiberglass huge smoking new cyan square lovely lamp\n(F) small exercise ancient yellow terrible triangular shirt\n(G) enormous typing old-fashioned teal spherical mysterious apple\n(H) brazilian fiberglass big exercise brand-new blue stapler\n(I) mysterious circular large smoking old green plastic thai candle\n(J) terrible pyramidal large driving brand-new green paper fork\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:152", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) plastic calculator (2) lovely mexican piano (3) cardboard hiking jar (4) snorkeling scissors (5) square enormous scissors (6) wonderful ruler (7) obnoxious congolese bicycle (8) spherical car (9) paper shoe (10) archaic bottle (11) spherical plate (12) ancient brown fire extinguisher (13) spherical flower pot (14) small plier (15) brand-new chair (16) maroon camera (17) steel table (18) old lamp (19) yellow spoon (20) rectangular hat (21) glass speaker (22) black fire extinguisher (23) square little earring (24) driving fire extinguisher (25) pyramidal tiny banana (26) triangular midsize shoe (27) iranian watch (28) massive key (29) terrible sofa (30) vietnamese house (31) terrible bangladeshi spoon (32) obnoxious turkish calculator (33) cardboard driving calculator (34) terrible trash can (35) circular pen (36) medium-size plier (37) brand-new drill (38) old umbrella (39) silly iranian camera (40) yellow ring (41) lovely earring (42) congolese sofa (43) old blue vase (44) triangular huge scissors (45) american fire extinguisher (46) ridiculous german bicycle (47) lovely american key (48) old spoon (49) square midsize fire extinguisher (50) new box (51) repulsive german wallet (52) triangular normal-size plate (53) mysterious indonesian box (54) japanese toolbox (55) normal-size clock (56) archaic brown sunglasses (57) spherical stapler (58) midsize canvas (59) iranian brush (60) silly vietnamese apple (61) awful brazilian umbrella (62) mysterious lamp (63) wood snorkeling camera (64) new green bag (65) triangular huge toolbox (66) brand-new maroon scissors (67) paper chair (68) driving brush (69) ancient trash can (70) ridiculous hiking ancient fork (71) walking spoon (72) plastic smoking cup (73) plastic whittling house (74) awful house (75) large key (76) glass eating speaker (77) cyan toolbox (78) drinking candle (79) walking car key (80) pyramidal jar (81) circular big sofa (82) square midsize trash can (83) new canvas (84) large fork (85) vietnamese brush (86) iron bowl (87) mysterious filipino scissors (88) old teal pen (89) good german bicycle (90) rectangular massive table (91) good brazilian screwdriver (92) japanese scissors (93) walking candle (94) good thai wrench (95) brazilian umbrella (96) awful sunglasses (97) prismlike huge hammer (98) wood saw (99) american candle (100) new brown bag (101) medium-size bottle (102) triangular bird (103) hiking sunglasses (104) rectangular bowl (105) awful sofa (106) square guitar (107) yellow table (108) pakistani bottle (109) nice indian table (110) circular banana (111) congolese stapler (112) ancient scissors (113) medium-size wrench (114) circular hat (115) glass snorkeling trash can (116) cloth banana (117) whittling bed (118) mysterious drill (119) magenta dog (120) ancient crimson fire extinguisher (121) archaic plate (122) fiberglass eating box (123) gray banana (124) prismlike flower pot (125) new bowl (126) normal-size bed (127) good spoon (128) eating apple (129) green hammer (130) mysterious scissors (131) fiberglass typing screwdriver (132) white banana (133) wonderful ethiopian camera (134) steel saw (135) archaic bowl (136) normal-size wallet (137) snorkeling bottle (138) massive canvas (139) maroon chair (140) old wallet (141) enormous camera (142) ancient candle (143) terrible japanese shoe (144) plastic dog (145) cloth hiking fire extinguisher (146) exercise trash can (147) enormous ring (148) russian jar (149) new car (150) triangular tiny piano (151) old gray apple (152) black pencil (153) tiny bottle (154) german brush (155) obnoxious umbrella (156) normal-size book (157) chinese plier (158) triangular hammer (159) ancient saw (160) prismlike massive stapler (161) lovely piano (162) maroon plier (163) american wool brown pen (164) archaic earring (165) pyramidal medium-size bicycle (166) fiberglass trash can (167) ancient violet vase (168) wood exercise bag (169) terrible table (170) old green book (171) pyramidal bottle (172) silly saw (173) wood wrench (174) white bottle (175) new fire extinguisher (176) ridiculous fork (177) archaic calculator (178) new bag (179) walking banana (180) terrible apple (181) wonderful brazilian bed (182) glass box (183) smoking plate (184) cyan speaker (185) brazilian ring (186) good indonesian lamp (187) huge brush (188) american screwdriver (189) cyan calculator (190) spherical banana (191) crimson canvas (192) old-fashioned candle (193) ancient yellow plier (194) pyramidal watch (195) new magenta watch (196) mysterious wallet (197) little calculator (198) repulsive saw (199) red shoe (200) hiking ball (201) blue clock (202) repulsive shirt (203) wonderful iranian hat (204) cardboard banana (205) obnoxious vietnamese box (206) german vase (207) wool bottle (208) archaic sofa (209) rectangular tiny wallet (210) mysterious bottle (211) eating ruler (212) prismlike big camera (213) wonderful box (214) pyramidal huge plier (215) huge plier (216) leather whittling brush (217) lovely chair (218) cardboard driving piano (219) obnoxious mexican drill (220) brand-new blue candle (221) circular necklace (222) spherical bird (223) brown fork (224) wonderful watch (225) indonesian stapler (226) prismlike big flower pot (227) ancient indigo shirt (228) awful wallet (229) rectangular big shirt (230) brand-new crimson plate (231) spherical small chair\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) little prismlike paper typing ancient gray bowl\n(B) silly chinese steel drinking old-fashioned brown marker\n(C) big paper smoking brand-new maroon indonesian awful bottle\n(D) spherical leather exercise old-fashioned violet indonesian terrible ball\n(E) steel whittling brand-new gray rectangular big car key\n(F) good chinese glass drinking archaic white square wallet\n(G) square massive wool drinking old-fashioned green egyptian ridiculous car key\n(H) square huge steel whittling old-fashioned cyan apple\n(I) cardboard smoking old-fashioned blue tiny triangular marker\n(J) pakistani wood walking brand-new black rectangular medium-size vase\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:153", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) eating filipino marker (2) yellow nice fork (3) german sunglasses (4) circular huge dog (5) mysterious necklace (6) eating pakistani hat (7) rectangular cup (8) obnoxious ruler (9) steel key (10) walking turkish plier (11) lovely scissors (12) old mexican gray brush (13) old wrench (14) iron stapler (15) gray sofa (16) awful bed (17) plastic whittling good stapler (18) new wool hammer (19) aqua mysterious screwdriver (20) obnoxious flower pot (21) rectangular big vase (22) mysterious spoon (23) square little screwdriver (24) triangular bowl (25) drinking bangladeshi spoon (26) large fire extinguisher (27) aqua vase (28) smoking indian pencil (29) repulsive shoe (30) archaic wood car key (31) glass drill (32) new canvas (33) old rubber key (34) pink awful cup (35) midsize bottle (36) whittling german shoe (37) prismlike sunglasses (38) old rubber table (39) old-fashioned saw (40) archaic box (41) enormous sofa (42) paper toolbox (43) driving german pencil (44) black necklace (45) leather plate (46) archaic screwdriver (47) wood bicycle (48) old-fashioned guitar (49) typing trash can (50) archaic wool ring (51) enormous sunglasses (52) exercise sunglasses (53) white mysterious hammer (54) indonesian box (55) triangular big hat (56) old-fashioned wood clock (57) brand-new iron car key (58) snorkeling brush (59) square huge plier (60) iron guitar (61) hiking brush (62) gray good trash can (63) ancient key (64) circular huge ball (65) prismlike massive screwdriver (66) silly watch (67) spherical huge ring (68) new iron guitar (69) prismlike piano (70) smoking necklace (71) brand-new fiberglass ball (72) glass ruler (73) iranian wrench (74) archaic ring (75) rectangular midsize jar (76) plastic knife (77) glass calculator (78) yellow lamp (79) terrible book (80) violet wrench (81) eating sofa (82) brand-new iron marker (83) aqua good box (84) nice lamp (85) whittling mexican table (86) rectangular large bed (87) driving ethiopian ring (88) typing nigerian canvas (89) pyramidal small hat (90) blue camera (91) midsize car (92) blue chair (93) old-fashioned candle (94) old lamp (95) yellow toolbox (96) american bowl (97) snorkeling vietnamese bowl (98) triangular small necklace (99) pyramidal tiny drill (100) rectangular guitar (101) pink bag (102) leather bag (103) blue sofa (104) prismlike small screwdriver (105) glass vase (106) driving pakistani sunglasses (107) archaic cardboard umbrella (108) rectangular little knife (109) spherical bed (110) brown chair (111) rectangular car key (112) brand-new saw (113) circular big jar (114) rectangular ruler (115) repulsive pen (116) old glass scissors (117) terrible hammer (118) cloth stapler (119) iranian hat (120) eating banana (121) old cloth pencil (122) yellow brush (123) indigo wrench (124) filipino ball (125) huge car (126) aqua speaker (127) maroon mysterious wallet (128) drinking brazilian stapler (129) violet chair (130) eating pakistani vase (131) lovely bag (132) typing brazilian sunglasses (133) rectangular speaker (134) russian vase (135) brown toolbox (136) whittling hat (137) russian car (138) ancient ball (139) good pencil (140) old wool ring (141) circular box\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) small snorkeling brazilian indigo wonderful steel new screwdriver\n(B) new iron drinking egyptian indigo obnoxious medium-size camera\n(C) square massive hiking filipino red awful rubber hat\n(D) ancient wood eating egyptian indigo wonderful big prismlike hat\n(E) drinking indian teal lovely rectangular medium-size marker\n(F) triangular driving iranian brown awful cardboard brand-new saw\n(G) driving vietnamese teal mysterious large pyramidal marker\n(H) medium-size rectangular driving indian maroon terrible plastic brand-new stapler\n(I) iron snorkeling american crimson ridiculous huge rectangular piano\n(J) old-fashioned glass whittling indonesian red ridiculous sunglasses\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:156", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) chinese trash can (2) rectangular smoking house (3) nice medium-size knife (4) walking drill (5) new stapler (6) red steel bicycle (7) brown fiberglass flower pot (8) indonesian brand-new ball (9) brand-new camera (10) large bird (11) plastic ruler (12) leather scissors (13) wool spoon (14) pyramidal ball (15) new canvas (16) terrible bird (17) fiberglass key (18) gray guitar (19) typing shirt (20) vietnamese sunglasses (21) ancient scissors (22) nice enormous sofa (23) pakistani archaic shoe (24) small toolbox (25) teal fiberglass table (26) silly candle (27) red umbrella (28) gray plastic bag (29) spherical eating plate (30) lovely normal-size scissors (31) brown glass sunglasses (32) enormous lamp (33) spherical walking clock (34) chinese new bed (35) maroon iron umbrella (36) new cup (37) circular ring (38) nice massive piano (39) filipino plier (40) blue paper scissors (41) hiking pencil (42) triangular smoking necklace (43) magenta calculator (44) brazilian ancient jar (45) whittling ring (46) new plate (47) congolese dog (48) obnoxious enormous camera (49) bangladeshi old-fashioned vase (50) brand-new table (51) old-fashioned saw (52) pyramidal canvas (53) large vase (54) plastic chair (55) german old fire extinguisher (56) green hat (57) gray rubber vase (58) large ball (59) square umbrella (60) nigerian shirt (61) prismlike plier (62) midsize plate (63) wool pencil (64) square walking umbrella (65) new chair (66) leather watch (67) spherical eating bird (68) old bird (69) terrible banana (70) awful candle (71) congolese bicycle (72) vietnamese camera (73) new pen (74) rectangular key (75) ancient ring (76) cloth plier (77) blue car key (78) circular drinking bird (79) terrible necklace (80) walking spoon (81) rectangular ruler (82) plastic camera (83) mysterious ring (84) yellow plastic sunglasses (85) silly midsize banana (86) circular new yellow car (87) typing earring (88) filipino speaker (89) rectangular marker (90) rectangular knife (91) gray toolbox (92) terrible ruler (93) pyramidal bowl (94) typing umbrella (95) gray key (96) wonderful normal-size bottle (97) silly midsize hat (98) maroon trash can (99) new clock (100) good enormous vase (101) silly enormous trash can (102) triangular jar (103) obnoxious medium-size banana (104) circular whittling jar (105) spherical fire extinguisher (106) fiberglass bed (107) old wrench (108) brazilian drill (109) thai candle (110) nice big jar (111) repulsive sunglasses (112) triangular lamp (113) snorkeling wrench (114) indigo cloth ring (115) square pen (116) circular hiking apple (117) medium-size sofa (118) brazilian new key (119) old-fashioned bed (120) gray glass book (121) rubber marker (122) ridiculous bowl (123) rectangular walking drill (124) terrible massive brush (125) obnoxious hammer (126) brown speaker (127) teal fiberglass ball (128) yellow knife (129) circular cup (130) snorkeling apple (131) mysterious normal-size bowl (132) new bed (133) nice little marker (134) congolese new ball (135) filipino sofa (136) maroon glass house (137) ridiculous necklace (138) violet trash can (139) square drinking bag (140) prismlike box (141) magenta glass ring (142) cyan paper fire extinguisher (143) pyramidal dog (144) congolese vase (145) typing scissors (146) triangular whittling bicycle (147) awful normal-size book (148) massive fork (149) massive pencil (150) normal-size fire extinguisher (151) brown banana (152) crimson iron ruler (153) ridiculous ruler (154) prismlike hiking car key (155) brown fiberglass drill (156) nigerian scissors (157) indonesian shirt (158) ridiculous brush (159) exercise apple (160) square fire extinguisher (161) wonderful hammer (162) black guitar (163) wonderful normal-size bird (164) magenta cloth plier (165) filipino key (166) nice bed (167) terrible scissors (168) walking egyptian rubber trash can (169) walking jar (170) little earring (171) pyramidal cup (172) pyramidal exercise toolbox (173) spherical candle (174) awful hat (175) good pen (176) steel table (177) crimson hat (178) square bed (179) tiny bowl (180) archaic lamp (181) wood banana (182) mexican sunglasses (183) nigerian drill (184) cyan fiberglass stapler (185) eating apple (186) prismlike typing key (187) ethiopian archaic trash can (188) circular hiking cup (189) nice large bottle (190) massive lamp (191) walking car (192) yellow saw (193) paper wrench (194) german old-fashioned fire extinguisher (195) wood hat (196) brown fire extinguisher (197) obnoxious box (198) rectangular eating candle (199) small pen (200) square table (201) paper bicycle (202) vietnamese marker (203) ridiculous banana (204) tiny jar (205) yellow piano (206) ridiculous small spoon (207) circular whittling house (208) spherical exercise lamp (209) wonderful bottle (210) triangular snorkeling cup (211) circular snorkeling house (212) huge shoe (213) repulsive bowl (214) large apple (215) circular guitar (216) lovely jar (217) driving lamp (218) nice plate (219) violet piano (220) typing fork (221) old necklace (222) green bowl (223) square drinking guitar (224) typing vase (225) aqua iron car (226) cardboard knife (227) obnoxious brush (228) triangular smoking key (229) indigo trash can (230) pakistani old-fashioned fire extinguisher (231) fiberglass car (232) fiberglass pen (233) midsize speaker (234) prismlike hiking fork (235) russian brand-new guitar (236) cyan box (237) wonderful huge watch\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) big mysterious chinese ancient cyan wool driving square saw\n(B) normal-size nice iranian archaic blue fiberglass walking table\n(C) spherical eating chinese brand-new magenta wood awful fork\n(D) smoking american ancient indigo cardboard silly medium-size knife\n(E) pyramidal eating pakistani new yellow wool bag\n(F) good big nigerian archaic indigo steel exercise triangular sunglasses\n(G) silly iranian old-fashioned pink wool typing rectangular speaker\n(H) enormous nigerian ancient cyan wool exercise prismlike camera\n(I) drinking vietnamese old black iron massive ridiculous car key\n(J) repulsive enormous indian new magenta cloth guitar\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:157", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) paper toolbox (2) awful knife (3) congolese wallet (4) spherical chair (5) cardboard house (6) small trash can (7) leather marker (8) plastic earring (9) cyan book (10) white huge pencil (11) plastic banana (12) american typing key (13) snorkeling pen (14) old umbrella (15) nigerian apple (16) triangular table (17) circular bird (18) crimson small flower pot (19) obnoxious cardboard bottle (20) archaic spherical scissors (21) fiberglass car (22) pink necklace (23) magenta normal-size banana (24) brand-new circular candle (25) mexican cup (26) congolese exercise clock (27) terrible cardboard ruler (28) circular sofa (29) rectangular plier (30) thai whittling necklace (31) leather banana (32) midsize knife (33) silly plate (34) ethiopian wool ancient screwdriver (35) chinese snorkeling ring (36) aqua big trash can (37) obnoxious cloth stapler (38) archaic triangular wallet (39) vietnamese drinking bed (40) iranian bowl (41) brown umbrella (42) cyan box (43) mysterious saw (44) small speaker (45) old brush (46) circular jar (47) typing lamp (48) brand-new fire extinguisher (49) old-fashioned car key (50) small bottle (51) square bowl (52) lovely fire extinguisher (53) white midsize pencil (54) little sunglasses (55) terrible leather candle (56) circular brush (57) brown little guitar (58) ridiculous paper brush (59) yellow lamp (60) triangular saw (61) nigerian hiking wallet (62) green house (63) archaic ball (64) whittling flower pot (65) new pen (66) old-fashioned canvas (67) plastic car key (68) nigerian eating candle (69) hiking bag (70) terrible saw (71) spherical plate (72) turkish eating plate (73) thai dog (74) repulsive cardboard marker (75) driving piano (76) aqua stapler (77) wonderful iron shirt (78) bangladeshi eating fire extinguisher (79) archaic pyramidal car (80) gray small table (81) teal flower pot (82) red earring (83) filipino driving canvas (84) aqua small piano (85) japanese spoon (86) terrible wood drill (87) pyramidal knife (88) old rectangular wrench (89) old house (90) old-fashioned fire extinguisher (91) ancient circular flower pot (92) whittling lamp (93) ancient hammer (94) obnoxious flower pot (95) tiny fork (96) repulsive iron bird (97) iron toolbox (98) archaic triangular candle (99) japanese driving scissors (100) enormous bird (101) spherical pen (102) pyramidal ring (103) terrible cloth hat (104) mysterious steel camera (105) magenta enormous bag (106) lovely glass clock (107) cloth plier (108) whittling bed (109) new fire extinguisher (110) ethiopian whittling scissors (111) repulsive leather drill (112) eating brush (113) eating camera (114) yellow enormous jar (115) eating silly rectangular spoon (116) brand-new wrench (117) rubber pen (118) obnoxious fork (119) fiberglass lamp (120) drinking chair (121) iranian driving bicycle (122) plastic lamp (123) chinese trash can (124) repulsive cardboard flower pot (125) drinking trash can (126) triangular clock (127) new pyramidal shirt (128) ancient scissors (129) driving toolbox (130) aqua hammer (131) egyptian plier (132) old book (133) walking hat (134) eating banana (135) yellow small trash can (136) massive fork (137) nice trash can (138) huge car key (139) normal-size plier (140) nigerian earring (141) big screwdriver (142) ridiculous dog (143) chinese walking plate (144) ancient rectangular sunglasses (145) lovely bowl (146) egyptian fork (147) lovely wool ball (148) whittling bicycle (149) maroon huge plate (150) wood apple (151) iranian hiking watch (152) little earring (153) old-fashioned bicycle (154) cyan big chair (155) indigo house (156) silly rubber key (157) old-fashioned watch (158) nice wool hammer (159) drinking guitar (160) brand-new car key (161) midsize car (162) cyan cup (163) mysterious paper hat (164) huge apple (165) paper book (166) archaic prismlike earring (167) brand-new rectangular stapler (168) american bag (169) thai snorkeling drill (170) normal-size table (171) steel bird (172) terrible steel ruler (173) old circular apple (174) square wrench (175) massive wallet (176) ridiculous cardboard wrench (177) vietnamese typing ruler (178) terrible chair (179) chinese ring (180) bangladeshi bowl (181) black saw (182) exercise stapler (183) massive cup (184) chinese typing drill (185) old rectangular pen (186) midsize ruler (187) prismlike stapler (188) driving trash can (189) repulsive pencil (190) american walking spoon\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) small indigo repulsive iron brand-new prismlike fire extinguisher\n(B) iranian smoking mysterious steel brand-new triangular white big bicycle\n(C) black large good rubber old prismlike driving knife\n(D) indian whittling nice rubber new pyramidal pencil\n(E) blue ridiculous glass old-fashioned rectangular whittling turkish key\n(F) nice cardboard old rectangular crimson tiny wallet\n(G) enormous terrible iron new pyramidal typing chinese house\n(H) german snorkeling wonderful fiberglass archaic square red guitar\n(I) normal-size black mysterious cardboard archaic pyramidal smoking knife\n(J) driving terrible paper old-fashioned prismlike massive black sunglasses\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:161", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) cardboard canvas (2) new screwdriver (3) chinese pink calculator (4) normal-size shoe (5) nigerian violet lamp (6) typing plate (7) yellow bag (8) large spoon (9) pyramidal key (10) paper good trash can (11) cyan bottle (12) paper guitar (13) cyan candle (14) american teal spoon (15) prismlike tiny ruler (16) yellow fire extinguisher (17) pakistani black ruler (18) white saw (19) driving ancient chair (20) walking clock (21) wood umbrella (22) iranian toolbox (23) russian stapler (24) brand-new chair (25) little plier (26) pyramidal drill (27) spherical watch (28) indonesian bag (29) terrible bed (30) small car (31) snorkeling ancient vase (32) hiking car key (33) leather obnoxious hammer (34) german guitar (35) new camera (36) leather terrible vase (37) paper archaic pakistani apple (38) rubber obnoxious shirt (39) pakistani speaker (40) silly knife (41) indonesian indigo earring (42) iron mysterious car (43) brand-new bag (44) wood watch (45) whittling archaic wrench (46) smoking shoe (47) wood bottle (48) eating calculator (49) enormous wrench (50) circular car (51) old plier (52) exercise ancient bird (53) circular enormous ball (54) circular enormous table (55) paper dog (56) triangular lamp (57) small shirt (58) glass jar (59) plastic bicycle (60) driving pencil (61) cloth lovely dog (62) typing fork (63) prismlike table (64) big sunglasses (65) paper mysterious cup (66) steel terrible chair (67) pakistani lamp (68) blue fire extinguisher (69) egyptian plier (70) walking vase (71) drinking ancient chair (72) teal bottle (73) fiberglass repulsive camera (74) hiking new piano (75) good stapler (76) black bottle (77) japanese yellow shirt (78) pakistani black bottle (79) midsize key (80) russian necklace (81) walking archaic lamp (82) terrible eating pink plier (83) fiberglass nice fire extinguisher (84) brown dog (85) snorkeling archaic canvas (86) violet lamp (87) whittling ancient ring (88) leather apple (89) yellow watch (90) thai knife (91) russian bird (92) ethiopian ruler (93) prismlike car (94) brazilian magenta umbrella (95) iron watch (96) congolese violet banana (97) pink camera (98) circular drill (99) brazilian violet screwdriver (100) circular little pen (101) rectangular scissors (102) huge umbrella (103) circular enormous trash can\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) midsize prismlike snorkeling new filipino maroon cup\n(B) steel awful smoking new russian pink big apple\n(C) large drinking archaic vietnamese pink ridiculous wool earring\n(D) exercise archaic nigerian pink huge pyramidal hat\n(E) large triangular exercise archaic chinese gray obnoxious shirt\n(F) triangular huge hiking brand-new thai aqua banana\n(G) glass terrible snorkeling new german gray circular brush\n(H) glass good typing old mexican indigo normal-size spherical book\n(I) good snorkeling old mexican yellow massive prismlike shoe\n(J) glass terrible hiking old thai cyan earring\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:162", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) ancient fiberglass plier (2) iranian jar (3) vietnamese spherical toolbox (4) ancient screwdriver (5) fiberglass vase (6) pyramidal key (7) wonderful apple (8) magenta bowl (9) ancient cardboard pen (10) driving bed (11) teal typing flower pot (12) triangular saw (13) enormous mysterious speaker (14) brand-new wool sunglasses (15) chinese toolbox (16) lovely necklace (17) vietnamese necklace (18) steel bed (19) repulsive candle (20) triangular lamp (21) archaic fiberglass car key (22) new iron piano (23) eating lamp (24) mysterious knife (25) big plate (26) glass house (27) cloth pen (28) white marker (29) old-fashioned toolbox (30) hiking brand-new lovely bed (31) archaic paper bed (32) smoking scissors (33) driving flower pot (34) white plate (35) terrible table (36) huge stapler (37) white dog (38) spherical lamp (39) spherical fire extinguisher (40) brown wallet (41) eating wallet (42) wool camera (43) tiny pen (44) pyramidal plier (45) american circular bag (46) brown chair (47) black ruler (48) filipino sunglasses (49) repulsive brush (50) archaic steel watch (51) cyan bowl (52) old-fashioned ring (53) nice wallet (54) mysterious brush (55) old-fashioned hammer (56) congolese scissors (57) brand-new fiberglass sofa (58) small silly bowl (59) large terrible vase (60) exercise shoe (61) wool sunglasses (62) driving watch (63) gray walking shirt (64) ancient fire extinguisher (65) archaic spoon (66) massive terrible bag (67) white knife (68) yellow bed (69) congolese rectangular knife (70) old-fashioned sofa (71) nice hat (72) brazilian pyramidal brush (73) ancient cup (74) black cloth normal-size dog (75) circular bicycle (76) tiny box (77) huge wonderful ball (78) whittling marker (79) blue lamp (80) rectangular screwdriver (81) vietnamese triangular marker (82) archaic marker (83) indian canvas (84) pyramidal clock (85) smoking drill (86) brown hiking plate (87) enormous clock (88) archaic key (89) rubber flower pot (90) leather pen (91) gray apple (92) ancient steel drill (93) new iron apple (94) cloth bottle (95) japanese book (96) russian wallet (97) old wood vase (98) walking chair (99) cloth calculator (100) prismlike wrench (101) triangular guitar (102) brand-new fiberglass table (103) square canvas (104) teal flower pot (105) old-fashioned leather hammer (106) violet drinking sunglasses (107) rectangular flower pot (108) blue eating ball (109) old-fashioned canvas (110) leather clock (111) exercise trash can (112) massive pen (113) silly fire extinguisher\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) mexican rectangular old leather midsize awful spoon\n(B) blue exercise brand-new paper normal-size ridiculous square earring\n(C) smoking old wood large mysterious square german lamp\n(D) old rubber normal-size mysterious pyramidal vietnamese trash can\n(E) circular brand-new leather large ridiculous exercise teal toolbox\n(F) crimson drinking old-fashioned leather tiny lovely chinese square car\n(G) archaic plastic large mysterious german rectangular brush\n(H) japanese square old wool medium-size nice hiking pen\n(I) snorkeling archaic wood tiny lovely thai circular bottle\n(J) gray whittling old-fashioned wool tiny mysterious bottle\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:163", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) bangladeshi sunglasses (2) glass bangladeshi scissors (3) silly book (4) whittling flower pot (5) brazilian trash can (6) old-fashioned bowl (7) paper brazilian calculator (8) crimson shoe (9) smoking car (10) normal-size square box (11) cloth guitar (12) repulsive yellow lamp (13) spherical toolbox (14) new wallet (15) filipino screwdriver (16) lovely gray ring (17) mexican plier (18) nice watch (19) square clock (20) archaic pencil (21) steel watch (22) snorkeling wrench (23) paper bangladeshi piano (24) iranian bag (25) rectangular candle (26) ridiculous crimson vase (27) new house (28) triangular trash can (29) indigo ruler (30) archaic hammer (31) big circular bottle (32) prismlike drill (33) plastic german key (34) chinese canvas (35) walking magenta large shoe (36) archaic toolbox (37) german bowl (38) good clock (39) ridiculous sofa (40) steel wallet (41) glass wallet (42) walking spoon (43) spherical knife (44) pyramidal stapler (45) iron table (46) eating old-fashioned spoon (47) silly ruler (48) walking marker (49) enormous drill (50) whittling brand-new fork (51) indian umbrella (52) wonderful aqua pen (53) whittling new stapler (54) snorkeling canvas (55) chinese trash can (56) wood box (57) snorkeling archaic bicycle (58) pyramidal ring (59) old hat (60) fiberglass pen (61) nice aqua chair (62) wool nigerian camera (63) cardboard filipino house (64) brazilian calculator (65) plastic american trash can (66) walking plate (67) rectangular earring (68) driving new chair (69) typing new brush (70) walking brand-new shirt (71) wood car (72) good speaker (73) whittling old-fashioned necklace (74) paper nigerian vase (75) triangular fork (76) awful bed (77) wood american brush (78) midsize triangular marker (79) ancient fire extinguisher (80) egyptian car (81) typing car key (82) mysterious red bowl (83) normal-size square bed (84) whittling brand-new trash can (85) small prismlike toolbox (86) ridiculous indigo speaker (87) snorkeling car (88) ridiculous book (89) wood egyptian scissors (90) old-fashioned hat (91) lovely teal hat (92) steel indian canvas (93) drinking ancient fork (94) whittling old bottle (95) normal-size guitar (96) typing fire extinguisher (97) nice red fire extinguisher (98) eating ancient pencil (99) whittling new sofa (100) enormous bag (101) large sunglasses (102) walking old fire extinguisher (103) triangular car (104) drinking shoe (105) huge wrench (106) wool candle (107) pyramidal umbrella (108) rubber mexican apple (109) terrible cyan stapler (110) good vase (111) walking brand-new box (112) plastic ethiopian bottle (113) walking stapler (114) tiny circular candle (115) steel vietnamese wrench (116) small square dog (117) small bicycle (118) good white fire extinguisher (119) typing archaic book (120) awful aqua table (121) obnoxious red piano (122) lovely red lamp (123) tiny circular lamp (124) walking ancient brush (125) pink guitar (126) old-fashioned repulsive spherical spoon (127) massive prismlike car (128) paper sunglasses (129) big triangular spoon (130) ridiculous chair (131) large pyramidal bicycle (132) black trash can (133) filipino brush (134) plastic filipino plate (135) enormous circular bird (136) nice screwdriver (137) ancient watch (138) wonderful pen (139) new bottle (140) little circular dog (141) tiny watch (142) nigerian marker (143) exercise old toolbox (144) smoking bottle (145) large fork (146) lovely pink brush (147) silly bottle (148) circular sofa (149) awful green marker (150) chinese car (151) white umbrella (152) big fire extinguisher (153) fiberglass shoe (154) big stapler (155) brazilian chair (156) tiny candle (157) large prismlike speaker (158) old-fashioned canvas (159) mysterious indigo jar (160) large wallet (161) rubber bed (162) yellow sunglasses (163) awful blue bowl (164) normal-size calculator (165) egyptian banana (166) normal-size chair (167) magenta bed (168) glass bottle (169) german ring (170) whittling old-fashioned key (171) wood filipino saw (172) lovely jar (173) cloth thai plier (174) white table (175) square bag (176) square shoe (177) pink necklace (178) driving new knife (179) snorkeling ancient stapler (180) steel screwdriver (181) smoking guitar (182) spherical wrench (183) brand-new guitar (184) cardboard filipino bottle (185) brand-new car (186) teal scissors (187) massive rectangular stapler (188) new necklace (189) congolese bottle (190) brand-new clock (191) lovely calculator (192) pyramidal piano (193) cloth plier (194) little canvas (195) nigerian stapler (196) exercise camera (197) smoking old-fashioned cup (198) prismlike pen (199) tiny triangular pencil (200) indonesian banana (201) eating banana (202) enormous speaker\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) drinking old-fashioned nice indigo midsize triangular chinese plate\n(B) smoking old-fashioned nice gray small circular fork\n(C) german cloth lovely maroon midsize pyramidal archaic piano\n(D) wonderful violet tiny pyramidal paper turkish banana\n(E) eating brand-new lovely green massive pyramidal paper filipino wallet\n(F) hiking brand-new silly gray enormous square steel table\n(G) vietnamese awful brown little square ancient typing candle\n(H) congolese steel terrible yellow enormous circular piano\n(I) smoking archaic mysterious white massive triangular chinese glass wallet\n(J) brazilian leather obnoxious black huge spherical old eating chair\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:165", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) old canvas (2) black calculator (3) drinking jar (4) brazilian clock (5) obnoxious saw (6) small flower pot (7) teal brush (8) silly screwdriver (9) ridiculous cup (10) indigo pen (11) square screwdriver (12) crimson cloth jar (13) maroon wrench (14) bangladeshi hammer (15) iranian camera (16) leather hammer (17) square pen (18) cardboard ball (19) iron house (20) small ancient pencil (21) triangular congolese piano (22) ancient drill (23) driving candle (24) small table (25) triangular ethiopian pen (26) repulsive piano (27) walking saw (28) green ruler (29) good trash can (30) drinking terrible ruler (31) archaic umbrella (32) black paper stapler (33) russian toolbox (34) russian canvas (35) pink glass bicycle (36) midsize box (37) pyramidal mexican ball (38) hiking vase (39) circular bangladeshi bowl (40) small ball (41) enormous calculator (42) white plastic shirt (43) hiking ridiculous spoon (44) little bottle (45) pink rubber ruler (46) typing silly car (47) hiking nice marker (48) violet wool necklace (49) cloth ruler (50) drinking guitar (51) rectangular vietnamese hat (52) rectangular scissors (53) iron car key (54) archaic canvas (55) new lamp (56) square marker (57) silly hat (58) huge old-fashioned saw (59) midsize apple (60) cloth fork (61) typing awful fork (62) good bag (63) crimson glass apple (64) terrible plate (65) smoking ball (66) walking table (67) wool pencil (68) walking clock (69) awful flower pot (70) leather car key (71) massive old-fashioned pencil (72) typing good drill (73) iron canvas (74) rectangular indonesian sofa (75) wood candle (76) wood marker (77) eating wonderful ruler (78) crimson brush (79) enormous spoon (80) new guitar (81) fiberglass ball (82) exercise lovely banana (83) brown plastic pen (84) walking shirt (85) rubber sofa (86) steel pencil (87) russian book (88) normal-size archaic car (89) rectangular book (90) square german scissors (91) prismlike filipino jar (92) pyramidal iranian table (93) small old-fashioned hat (94) green fiberglass ball (95) silly wallet (96) enormous hat (97) new speaker (98) large earring (99) normal-size car (100) rubber piano (101) archaic apple (102) brown paper bed (103) american spoon (104) driving brush (105) filipino bag (106) gray calculator (107) whittling hat (108) enormous old-fashioned canvas (109) glass candle (110) tiny brush (111) square bottle (112) german wrench (113) ancient trash can (114) yellow fiberglass bottle (115) typing camera (116) aqua brush (117) snorkeling silly plate (118) cardboard lamp (119) square vase (120) wool fire extinguisher (121) old-fashioned toolbox (122) big old-fashioned fire extinguisher (123) thai wallet (124) prismlike congolese speaker (125) midsize bed (126) iron marker (127) lovely pencil (128) egyptian pen (129) pyramidal japanese sunglasses (130) walking awful brush (131) nice fire extinguisher (132) hiking shoe (133) walking camera (134) brand-new stapler (135) pakistani shirt (136) leather key (137) exercise paper massive shirt (138) wonderful wallet (139) old-fashioned saw (140) drinking awful drill (141) square pencil (142) spherical mexican bird (143) pink glass ruler (144) eating pencil (145) circular shoe (146) exercise necklace (147) archaic sunglasses (148) enormous old scissors (149) large watch (150) old book (151) rubber drill (152) indigo fiberglass key (153) maroon banana (154) rectangular chinese earring (155) iranian ring (156) snorkeling cup (157) typing hammer (158) cloth vase (159) massive old plier (160) big ancient bottle (161) massive ancient clock (162) pyramidal scissors (163) glass car (164) glass earring (165) turkish canvas (166) pyramidal turkish necklace (167) mysterious chair (168) prismlike ethiopian plate (169) medium-size cup (170) leather clock (171) exercise camera (172) ancient earring (173) aqua paper book (174) japanese fork (175) archaic marker (176) ethiopian plate (177) bangladeshi box (178) spherical ethiopian calculator (179) egyptian calculator (180) midsize old-fashioned apple (181) leather scissors (182) ancient canvas (183) congolese candle (184) ridiculous umbrella (185) triangular banana (186) aqua wood brush (187) walking stapler (188) aqua glass hat (189) pink steel apple (190) exercise terrible spoon (191) circular hat (192) awful shirt (193) ethiopian plier (194) cyan bowl (195) ridiculous blue old bird (196) enormous stapler (197) enormous archaic bowl (198) brown necklace (199) rectangular brazilian camera (200) rectangular shoe (201) triangular iranian key (202) normal-size ruler (203) huge apple (204) triangular saw (205) awful apple (206) cyan leather toolbox (207) square bag (208) cloth drill (209) hiking silly sofa (210) ancient bed (211) triangular bangladeshi fire extinguisher (212) little bed (213) little key (214) fiberglass bottle (215) black screwdriver (216) turkish vase (217) brown plate (218) drinking cup (219) mysterious bowl (220) nigerian shirt (221) huge ring (222) triangular russian box (223) old-fashioned dog (224) pyramidal banana (225) hiking clock (226) archaic bag (227) ethiopian banana (228) good sofa (229) small bottle (230) maroon car key (231) teal steel apple (232) ridiculous ruler (233) circular sofa (234) triangular german fire extinguisher (235) indigo saw (236) blue cloth bird (237) massive archaic drill (238) brown rubber plate (239) enormous car (240) red ruler (241) iranian speaker (242) brown paper screwdriver (243) tiny key (244) triangular sofa (245) violet watch (246) green candle\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) eating wonderful red leather enormous ancient triangular fire extinguisher\n(B) snorkeling mysterious white cardboard medium-size ancient sofa\n(C) pyramidal violet wool small new wonderful smoking guitar\n(D) circular filipino green steel medium-size brand-new silly lamp\n(E) circular vietnamese gray leather normal-size new lovely smoking ball\n(F) iranian magenta wood normal-size ancient wonderful driving brush\n(G) spherical ethiopian blue wool enormous old car key\n(H) walking ridiculous white fiberglass medium-size old japanese lamp\n(I) good brown cloth midsize ancient indian prismlike chair\n(J) driving terrible crimson leather normal-size brand-new nigerian pyramidal guitar\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:166", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) congolese lamp (2) gray piano (3) small canvas (4) midsize marker (5) circular flower pot (6) wonderful clock (7) archaic cloth shoe (8) prismlike screwdriver (9) teal brazilian car (10) silly vase (11) new cloth box (12) bangladeshi bottle (13) yellow toolbox (14) whittling circular hat (15) whittling cup (16) nigerian car key (17) rectangular bottle (18) triangular clock (19) ancient leather house (20) old-fashioned scissors (21) nigerian chair (22) brown flower pot (23) black necklace (24) awful box (25) snorkeling pyramidal brush (26) spherical sofa (27) big wonderful hat (28) rectangular saw (29) archaic house (30) old camera (31) obnoxious vase (32) little earring (33) rubber calculator (34) typing prismlike shirt (35) rubber ball (36) brand-new stapler (37) cardboard speaker (38) old plastic bed (39) congolese spoon (40) steel brush (41) big ball (42) archaic wallet (43) huge awful ring (44) small wonderful piano (45) repulsive necklace (46) old-fashioned bed (47) brand-new leather wallet (48) small terrible calculator (49) ancient bottle (50) smoking pyramidal book (51) terrible ruler (52) blue plate (53) violet pakistani plier (54) eating necklace (55) driving earring (56) white japanese plier (57) brand-new bottle (58) cyan ethiopian flower pot (59) medium-size drill (60) smoking plier (61) walking wallet (62) rectangular fire extinguisher (63) japanese flower pot (64) big key (65) magenta thai brush (66) smoking prismlike fork (67) typing vase (68) archaic ridiculous black car key (69) chinese sofa (70) aqua box (71) huge calculator (72) rubber massive russian toolbox (73) crimson plate (74) german knife (75) ancient steel vase (76) hiking knife (77) tiny terrible bicycle (78) blue nigerian dog (79) mysterious screwdriver (80) ancient wood house (81) paper guitar (82) small house (83) rubber fire extinguisher (84) spherical plier (85) rectangular hammer (86) eating knife (87) nigerian ruler (88) blue russian screwdriver (89) old bag (90) indigo toolbox (91) crimson bangladeshi bicycle (92) normal-size camera (93) black russian spoon (94) brown toolbox (95) snorkeling prismlike cup (96) pakistani car (97) archaic flower pot (98) maroon key (99) drinking square earring (100) turkish piano (101) old wood bag (102) cloth bottle (103) crimson ethiopian wrench (104) brand-new cardboard speaker (105) little wonderful clock (106) awful saw (107) spherical vase (108) archaic box (109) midsize lovely drill (110) whittling pyramidal clock (111) normal-size nice sofa (112) pink wallet (113) smoking bottle (114) plastic box (115) pyramidal speaker (116) new cloth candle (117) yellow pencil (118) prismlike lamp (119) whittling spherical screwdriver (120) teal hat (121) normal-size wonderful lamp (122) brand-new lamp (123) steel canvas (124) fiberglass bicycle (125) blue flower pot (126) ancient jar (127) gray shoe (128) cyan banana (129) square watch (130) snorkeling flower pot (131) silly trash can (132) chinese vase (133) drinking knife (134) whittling pyramidal knife\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) exercise little good magenta pakistani fiberglass archaic brush\n(B) old-fashioned steel big terrible violet congolese plier\n(C) archaic paper normal-size silly indigo turkish triangular box\n(D) triangular exercise massive good yellow egyptian screwdriver\n(E) smoking pyramidal little obnoxious cyan bangladeshi guitar\n(F) snorkeling pyramidal enormous good yellow indian leather ruler\n(G) rubber medium-size nice brown american rectangular driving bicycle\n(H) old paper enormous silly gray german smoking prismlike pen\n(I) fiberglass tiny repulsive yellow chinese hiking spherical bicycle\n(J) medium-size ridiculous indigo pakistani prismlike drinking wrench\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:167", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) maroon pencil (2) prismlike brush (3) cyan driving trash can (4) typing necklace (5) glass fire extinguisher (6) spherical enormous bird (7) whittling knife (8) mysterious toolbox (9) red eating umbrella (10) crimson table (11) congolese archaic car key (12) green ball (13) black driving flower pot (14) vietnamese archaic chair (15) circular sunglasses (16) triangular medium-size marker (17) exercise banana (18) leather lamp (19) indian key (20) black drinking necklace (21) american bicycle (22) indian old-fashioned canvas (23) nice rubber bed (24) pakistani box (25) medium-size speaker (26) tiny cup (27) new spoon (28) ridiculous wool marker (29) whittling brush (30) filipino brand-new piano (31) mysterious cardboard sofa (32) wonderful steel candle (33) thai new speaker (34) crimson flower pot (35) awful plate (36) normal-size hat (37) circular ball (38) rectangular big dog (39) eating watch (40) cardboard trash can (41) paper ruler (42) triangular massive drill (43) square midsize earring (44) pakistani candle (45) spherical medium-size fork (46) maroon umbrella (47) square medium-size piano (48) prismlike massive sofa (49) violet whittling plier (50) square shirt (51) mysterious leather vase (52) ridiculous lamp (53) obnoxious fiberglass flower pot (54) circular pen (55) violet ball (56) triangular little wallet (57) black shoe (58) ridiculous wood piano (59) egyptian archaic spoon (60) tiny saw (61) american pen (62) triangular saw (63) triangular tiny bicycle (64) drinking sofa (65) ridiculous apple (66) triangular scissors (67) circular huge bird (68) indonesian candle (69) japanese old-fashioned bottle (70) hiking sofa (71) lovely car (72) massive saw (73) steel ring (74) terrible guitar (75) mexican sunglasses (76) smoking pen (77) iron camera (78) midsize plate (79) iranian wallet (80) white whittling watch (81) small table (82) new ruler (83) archaic screwdriver (84) pink toolbox (85) green driving ball (86) spherical fork (87) pink jar (88) cyan exercise hat (89) yellow candle (90) circular bag (91) eating necklace (92) green cloth turkish house (93) old-fashioned necklace (94) american candle (95) turkish archaic shoe (96) gray clock (97) new key (98) violet smoking saw (99) wood spoon (100) filipino sunglasses (101) brown drinking book (102) teal book (103) brown necklace (104) awful wood shoe (105) tiny watch (106) prismlike ring (107) white hiking marker (108) black snorkeling shirt (109) rectangular banana (110) wonderful wool bottle (111) hiking bowl (112) enormous brush (113) chinese old jar (114) lovely bicycle (115) american old bowl (116) chinese ancient pen (117) rectangular fire extinguisher (118) crimson sunglasses (119) ancient scissors (120) silly apple (121) obnoxious marker (122) walking house (123) congolese earring (124) massive canvas (125) tiny key (126) obnoxious car (127) enormous bottle (128) mexican candle (129) repulsive pen (130) turkish fork (131) leather shoe (132) blue eating necklace (133) prismlike tiny guitar (134) eating obnoxious ancient car (135) egyptian plier (136) magenta screwdriver (137) red driving canvas (138) driving pen (139) awful steel flower pot (140) old-fashioned key (141) tiny ruler (142) spherical tiny box (143) iron chair (144) new trash can (145) ancient chair (146) rectangular fork (147) cardboard pen (148) exercise jar (149) enormous drill (150) steel plate (151) violet snorkeling car key (152) silly plastic brush (153) aqua apple (154) circular umbrella (155) blue dog (156) rectangular enormous toolbox (157) pakistani new apple (158) triangular medium-size car key (159) snorkeling piano (160) nice car (161) square book (162) prismlike midsize bicycle (163) repulsive speaker (164) fiberglass ball (165) medium-size wallet (166) paper book (167) ancient guitar (168) massive earring (169) old flower pot (170) chinese sunglasses (171) brazilian pen (172) drinking knife (173) triangular wallet (174) medium-size piano (175) egyptian table (176) old-fashioned hat (177) drinking box (178) lovely bowl (179) old-fashioned bag (180) crimson ring (181) spherical vase (182) large sunglasses (183) circular big candle (184) typing umbrella (185) medium-size apple (186) maroon driving ball (187) brand-new canvas (188) large lamp (189) triangular camera (190) glass umbrella (191) filipino speaker (192) large bowl (193) pakistani new stapler (194) large fire extinguisher (195) rubber speaker (196) spherical big plier (197) rubber hammer (198) mysterious wrench (199) silly wool book (200) vietnamese dog (201) repulsive glass pencil (202) typing clock (203) rectangular huge earring (204) brand-new book (205) violet bicycle (206) congolese new calculator (207) yellow cup (208) repulsive bowl (209) medium-size watch (210) square massive shoe (211) wool scissors (212) exercise marker (213) whittling toolbox (214) old toolbox (215) teal whittling ball (216) iron box (217) large shirt (218) normal-size bowl (219) square tiny clock (220) medium-size wrench (221) filipino apple (222) new marker (223) huge hammer (224) triangular enormous fork (225) cloth banana (226) new candle (227) typing vase (228) teal fire extinguisher (229) archaic toolbox (230) square cup (231) obnoxious glass bowl (232) triangular normal-size house (233) wonderful steel knife (234) prismlike house (235) circular marker (236) blue marker (237) vietnamese archaic guitar (238) mysterious leather canvas (239) archaic marker (240) pyramidal ring (241) triangular bird (242) cloth house (243) white eating brush\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) triangular enormous ridiculous wood indian ancient driving brown canvas\n(B) midsize good leather iranian archaic hiking indigo banana\n(C) big circular awful leather vietnamese new bottle\n(D) yellow whittling awful wood nigerian old midsize ruler\n(E) magenta walking obnoxious cardboard indian ancient square wrench\n(F) typing wonderful fiberglass american archaic huge circular marker\n(G) magenta hiking wonderful cloth vietnamese ancient trash can\n(H) repulsive cardboard indonesian ancient huge square earring\n(I) maroon driving repulsive plastic japanese ancient normal-size pyramidal apple\n(J) pyramidal big awful wool turkish ancient table\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:168", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) snorkeling guitar (2) iron typing candle (3) hiking key (4) ancient square candle (5) typing flower pot (6) brand-new circular fire extinguisher (7) black repulsive bird (8) drinking bed (9) spherical camera (10) turkish shoe (11) white silly calculator (12) wool driving brush (13) plastic speaker (14) russian medium-size brush (15) walking canvas (16) cyan wonderful flower pot (17) prismlike fork (18) brown stapler (19) blue vase (20) wool smoking dog (21) blue obnoxious chair (22) rubber saw (23) wood exercise knife (24) ethiopian saw (25) enormous vase (26) circular guitar (27) brand-new square speaker (28) old pyramidal jar (29) lovely saw (30) iron hiking ball (31) archaic triangular flower pot (32) exercise key (33) cardboard spherical pakistani fire extinguisher (34) smoking shirt (35) old triangular trash can (36) old-fashioned necklace (37) gray terrible trash can (38) old spherical fork (39) new circular camera (40) ridiculous bicycle (41) medium-size stapler (42) big camera (43) chinese massive bicycle (44) obnoxious banana (45) teal chair (46) whittling umbrella (47) cardboard sunglasses (48) old spherical bed (49) rectangular trash can (50) typing shirt (51) obnoxious bed (52) new brush (53) old-fashioned triangular shoe (54) rectangular bed (55) old-fashioned rectangular key (56) cyan terrible watch (57) glass shirt (58) german huge ring (59) ancient rectangular scissors (60) smoking drill (61) pyramidal stapler (62) rectangular car key (63) circular watch (64) egyptian flower pot (65) huge saw (66) small plier (67) yellow clock (68) indigo mysterious umbrella (69) spherical necklace (70) egyptian fire extinguisher (71) archaic wrench (72) glass cup (73) good plier (74) rectangular knife (75) tiny brush (76) maroon house (77) congolese guitar (78) triangular ring (79) egyptian huge bottle (80) indigo chair (81) smoking old massive car key (82) enormous bottle (83) leather cup (84) ethiopian bag (85) huge bird (86) steel smoking sofa (87) smoking shoe (88) russian midsize wrench (89) gray key (90) old-fashioned car key (91) mysterious bicycle (92) russian hat (93) american ball (94) new wrench (95) pyramidal earring (96) iron eating bicycle (97) bangladeshi car key (98) plastic calculator (99) new spherical bag (100) blue banana\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) yellow obnoxious brand-new circular ethiopian huge banana\n(B) ridiculous indigo new circular american big walking plastic fire extinguisher\n(C) awful ancient prismlike russian big typing wood shirt\n(D) green silly archaic circular chinese normal-size drinking paper pencil\n(E) smoking brand-new pyramidal mexican normal-size violet nice plier\n(F) archaic circular indian large brown awful camera\n(G) glass driving old triangular american small bowl\n(H) iron walking old pyramidal german midsize obnoxious white bed\n(I) driving ancient spherical vietnamese midsize wonderful violet sunglasses\n(J) gray wonderful old square vietnamese large smoking pencil\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:170", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) archaic obnoxious dog (2) prismlike ball (3) pink guitar (4) brand-new lovely sunglasses (5) old apple (6) crimson plate (7) ethiopian green hat (8) brown bird (9) new lovely book (10) old bicycle (11) german red banana (12) little rectangular umbrella (13) eating glass stapler (14) teal brush (15) turkish teal dog (16) steel guitar (17) iranian dog (18) drinking drill (19) wonderful earring (20) brand-new key (21) teal clock (22) normal-size rectangular lamp (23) large square pencil (24) green banana (25) driving paper brush (26) archaic speaker (27) tiny knife (28) triangular bag (29) normal-size camera (30) vietnamese silly little flower pot (31) rectangular marker (32) good sunglasses (33) eating clock (34) teal archaic spherical pencil (35) archaic obnoxious calculator (36) small triangular drill (37) iranian yellow apple (38) black toolbox (39) brazilian scissors (40) turkish brown toolbox (41) leather plier (42) brand-new awful trash can (43) little hammer (44) leather chair (45) ancient bowl (46) wonderful drill (47) lovely jar (48) brand-new good earring (49) hiking steel brush (50) lovely pen (51) japanese indigo spoon (52) drinking wood pen (53) typing steel apple (54) spherical flower pot (55) midsize circular shirt (56) old ridiculous saw (57) thai drill (58) white key (59) ancient mysterious saw (60) brown toolbox (61) ancient plier (62) little pyramidal marker (63) eating rubber spoon (64) square trash can (65) terrible bag (66) archaic dog (67) good candle (68) bangladeshi house (69) cyan bottle (70) silly screwdriver (71) yellow candle (72) american jar (73) filipino pink cup (74) hiking fiberglass necklace (75) brand-new good umbrella (76) enormous square bicycle (77) hiking iron saw (78) silly pen (79) archaic pencil (80) green key (81) pink sunglasses (82) smoking paper ball (83) obnoxious book (84) square fork (85) cardboard car (86) medium-size pen (87) congolese table (88) walking cup (89) wonderful car key (90) circular trash can (91) old-fashioned obnoxious knife (92) pyramidal bag (93) obnoxious ruler (94) old-fashioned terrible watch (95) exercise fire extinguisher (96) lovely toolbox (97) wonderful table (98) brand-new necklace (99) nice hammer (100) bangladeshi jar (101) drinking iron camera (102) white wrench (103) exercise brush (104) congolese key (105) plastic saw (106) drinking bicycle (107) paper wallet (108) japanese bicycle (109) massive spherical piano (110) maroon car (111) wool pen (112) prismlike hat (113) archaic ball (114) large clock (115) hiking vase (116) german pen (117) spherical bowl (118) ancient house (119) good pen (120) ancient shoe (121) medium-size guitar (122) german piano (123) rectangular camera (124) triangular bed (125) red car key (126) ancient knife (127) chinese brown apple (128) enormous circular camera (129) terrible vase (130) old bottle (131) drinking glass guitar (132) typing lamp (133) blue bowl (134) magenta earring (135) new nice hat (136) plastic scissors (137) american table (138) normal-size rectangular watch (139) vietnamese pink wallet (140) filipino blue fork (141) square necklace (142) smoking pencil (143) archaic ridiculous house (144) hiking fiberglass wallet (145) nigerian knife (146) terrible table (147) leather umbrella (148) brand-new table (149) walking sunglasses (150) medium-size circular stapler (151) iron banana (152) walking wool toolbox (153) nice banana\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) cardboard smoking archaic wonderful small triangular pink iranian drill\n(B) ethiopian crimson archaic repulsive normal-size pyramidal banana\n(C) iron smoking archaic silly huge triangular white knife\n(D) magenta new repulsive tiny prismlike plastic driving box\n(E) ancient ridiculous normal-size prismlike drinking wood brush\n(F) leather ancient silly small spherical yellow german ruler\n(G) hiking wood brand-new good tiny triangular car\n(H) ancient mysterious tiny pyramidal cardboard eating speaker\n(I) brown archaic awful small prismlike eating fiberglass guitar\n(J) nigerian indigo archaic repulsive normal-size square drinking sofa\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:175", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) leather good wallet (2) mysterious drill (3) massive new banana (4) spherical black ruler (5) midsize bird (6) chinese typing dog (7) wonderful vase (8) normal-size old ring (9) nice bird (10) rectangular stapler (11) leather mysterious clock (12) ancient screwdriver (13) brand-new fire extinguisher (14) indian watch (15) german snorkeling pen (16) square white umbrella (17) lovely candle (18) new toolbox (19) leather repulsive spoon (20) old clock (21) circular pen (22) green bowl (23) hiking marker (24) small shirt (25) drinking earring (26) mysterious wrench (27) glass trash can (28) prismlike car (29) magenta wrench (30) archaic cup (31) iranian bag (32) triangular indigo screwdriver (33) whittling key (34) eating house (35) steel awful box (36) chinese flower pot (37) hiking stapler (38) archaic ruler (39) spherical indigo fire extinguisher (40) pakistani saw (41) indigo watch (42) lovely box (43) big house (44) white marker (45) fiberglass pen (46) nigerian stapler (47) rectangular saw (48) ethiopian bowl (49) massive ancient umbrella (50) nigerian canvas (51) good fork (52) pakistani trash can (53) massive brand-new trash can (54) wool obnoxious sofa (55) indian dog (56) typing shoe (57) ridiculous bangladeshi ancient candle (58) filipino dog (59) fiberglass hat (60) spherical blue candle (61) aqua bag (62) steel trash can (63) old-fashioned calculator (64) ridiculous marker (65) wool silly plier (66) plastic ruler (67) circular black earring (68) fiberglass knife (69) mexican driving ring (70) mysterious hammer (71) plastic earring (72) old chair (73) circular plate (74) white key (75) rectangular scissors (76) ancient ring (77) wood ridiculous necklace (78) enormous ancient plate (79) rectangular green bowl (80) smoking screwdriver (81) medium-size drill (82) wood driving large apple (83) pyramidal car key (84) iranian snorkeling clock (85) huge brand-new sofa (86) archaic saw (87) massive watch (88) brazilian typing shoe (89) triangular table (90) iron drill (91) triangular aqua necklace (92) ridiculous ring (93) vietnamese typing cup (94) wood silly bed (95) triangular gray watch (96) black bicycle (97) square maroon bottle (98) plastic brush (99) silly chair (100) pyramidal drill (101) driving flower pot (102) cardboard banana\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) violet circular pakistani whittling big brand-new wonderful plastic speaker\n(B) crimson triangular thai smoking tiny archaic dog\n(C) silly mexican hiking medium-size old-fashioned red prismlike screwdriver\n(D) japanese whittling midsize ancient green square key\n(E) glass wonderful brazilian eating little new fire extinguisher\n(F) circular bangladeshi walking large new awful plastic camera\n(G) triangular blue iranian typing normal-size new clock\n(H) cardboard terrible vietnamese driving midsize ancient teal brush\n(I) leather terrible brazilian exercise normal-size old square key\n(J) terrible congolese smoking small new square aqua shirt\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:176", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) midsize whittling house (2) old-fashioned awful cup (3) cloth car key (4) pyramidal paper awful bottle (5) cyan fork (6) massive snorkeling bowl (7) lovely candle (8) cardboard indian hat (9) prismlike knife (10) triangular car (11) gray rectangular pen (12) white prismlike candle (13) new bird (14) silly chair (15) teal triangular apple (16) medium-size exercise hat (17) spherical lamp (18) midsize guitar (19) new ridiculous sofa (20) midsize typing piano (21) gray knife (22) iranian plier (23) little smoking key (24) russian candle (25) fiberglass house (26) circular necklace (27) brown knife (28) paper american candle (29) gray hat (30) ethiopian camera (31) little exercise pencil (32) indigo sunglasses (33) hiking car key (34) rectangular key (35) midsize hiking knife (36) big smoking bowl (37) filipino bed (38) archaic nice fire extinguisher (39) brown square bicycle (40) smoking flower pot (41) paper bangladeshi trash can (42) new repulsive saw (43) teal square dog (44) leather sunglasses (45) green spherical spoon (46) glass sofa (47) normal-size stapler (48) aqua bed (49) indigo calculator (50) plastic nigerian bicycle (51) eating hammer (52) driving speaker (53) wool flower pot (54) red thai ancient key (55) little hiking bed (56) little candle (57) magenta calculator (58) plastic bird (59) brown pyramidal shirt (60) steel turkish candle (61) medium-size hiking candle (62) egyptian bowl (63) cardboard saw (64) violet fork (65) filipino flower pot (66) old key (67) drinking wallet (68) old lovely lamp (69) old-fashioned table (70) wood vietnamese stapler (71) nice flower pot (72) old-fashioned apple (73) black candle (74) paper pencil (75) yellow clock (76) archaic ball (77) old-fashioned good key (78) large smoking dog (79) typing earring (80) typing table (81) teal pyramidal box (82) small eating trash can (83) circular clock (84) massive typing flower pot (85) wood turkish dog (86) indigo square bag (87) pink spherical cup (88) ancient hat (89) leather knife (90) snorkeling bottle (91) cyan piano (92) hiking spoon (93) pakistani sunglasses (94) paper brazilian book (95) paper drill (96) old-fashioned wrench (97) lovely lamp (98) bangladeshi vase (99) little jar (100) normal-size whittling saw (101) circular cup (102) white rectangular trash can (103) huge apple (104) wonderful drill (105) new terrible necklace (106) little drinking trash can (107) tiny walking dog (108) red rectangular candle (109) lovely canvas (110) cloth bird (111) filipino guitar (112) enormous lamp (113) old-fashioned nice watch (114) cyan stapler (115) repulsive ring (116) pyramidal ball (117) teal fire extinguisher (118) yellow bicycle (119) medium-size pencil (120) brand-new box (121) indian hat (122) blue scissors (123) iranian piano (124) nigerian spoon (125) prismlike guitar (126) nice guitar (127) massive snorkeling box (128) old-fashioned ridiculous house (129) aqua circular shirt (130) normal-size walking dog (131) bangladeshi hammer (132) ancient lovely earring (133) snorkeling trash can (134) triangular chair (135) pink prismlike vase (136) spherical bicycle (137) good wallet (138) steel pencil (139) red spherical book (140) teal clock (141) pyramidal necklace (142) iron filipino spoon (143) small typing cup (144) circular camera (145) walking speaker (146) iron egyptian bowl (147) chinese vase (148) fiberglass wallet (149) ancient house (150) violet camera (151) ancient camera (152) archaic fork (153) congolese saw (154) indian candle (155) gray marker\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) typing little leather nigerian brand-new good pyramidal spoon\n(B) massive exercise glass american new lovely pyramidal pink clock\n(C) cardboard vietnamese ancient awful enormous eating banana\n(D) rectangular rubber ethiopian new good driving small key\n(E) white triangular paper chinese ancient terrible typing guitar\n(F) midsize eating leather bangladeshi old-fashioned mysterious pyramidal bottle\n(G) magenta triangular fiberglass egyptian ancient obnoxious banana\n(H) cyan rectangular wood nigerian ancient wonderful tiny whittling canvas\n(I) spherical fiberglass filipino old-fashioned awful large snorkeling hat\n(J) aqua rectangular leather vietnamese brand-new silly walking large banana\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:180", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) aqua cloth plier (2) snorkeling scissors (3) typing screwdriver (4) large eating saw (5) mysterious new guitar (6) square piano (7) brazilian spherical ruler (8) small scissors (9) little walking dog (10) pakistani spherical plier (11) massive drill (12) old-fashioned plate (13) yellow chair (14) obnoxious house (15) new bird (16) wonderful car (17) wonderful saw (18) pakistani brush (19) nice old trash can (20) blue fiberglass pencil (21) russian ruler (22) small snorkeling bowl (23) circular dog (24) ancient camera (25) new bottle (26) violet cardboard banana (27) indonesian car key (28) typing camera (29) huge sunglasses (30) nice bicycle (31) glass fork (32) medium-size drill (33) rectangular drill (34) small exercise plier (35) snorkeling banana (36) new flower pot (37) congolese pyramidal earring (38) brazilian triangular bed (39) terrible sofa (40) obnoxious old key (41) archaic book (42) normal-size eating bed (43) triangular ball (44) violet dog (45) terrible umbrella (46) wonderful brand-new hat (47) congolese trash can (48) green rubber car (49) green book (50) cardboard knife (51) wonderful new plate (52) white key (53) ridiculous box (54) blue leather pen (55) snorkeling fire extinguisher (56) indigo steel vase (57) midsize drinking wrench (58) brand-new fork (59) pakistani lamp (60) thai spherical toolbox (61) ancient plier (62) pyramidal necklace (63) old crimson walking car key (64) indigo plastic book (65) typing table (66) archaic watch (67) thai triangular bicycle (68) pyramidal earring (69) chinese prismlike dog (70) brand-new camera (71) enormous typing screwdriver (72) small hiking earring (73) chinese spherical canvas (74) gray glass drill (75) ethiopian sunglasses (76) thai spoon (77) new sunglasses (78) huge hat (79) snorkeling shoe (80) whittling flower pot (81) square wallet (82) massive screwdriver (83) crimson wool hammer (84) circular hat (85) steel fork (86) good brush (87) plastic plier (88) brand-new lamp (89) ancient shoe (90) ethiopian marker (91) old-fashioned speaker (92) german table (93) hiking calculator (94) chinese circular scissors (95) repulsive new chair (96) mysterious plier (97) white canvas (98) medium-size snorkeling umbrella (99) german shoe (100) massive shoe (101) exercise spoon (102) enormous camera (103) turkish rectangular car (104) silly ancient house (105) normal-size eating watch (106) mysterious candle (107) cloth bag (108) plastic bowl (109) lovely new bottle (110) german circular calculator (111) spherical watch (112) leather calculator (113) glass book (114) ridiculous old watch (115) repulsive spoon (116) silly old house (117) square screwdriver (118) circular car (119) archaic ruler (120) prismlike car (121) lovely steel small plier (122) cyan clock (123) smoking vase (124) archaic calculator (125) german rectangular house (126) massive apple (127) new watch (128) massive walking lamp (129) blue glass sunglasses (130) good brand-new sunglasses (131) large fire extinguisher (132) vietnamese vase (133) egyptian ring (134) white stapler (135) medium-size ring (136) brand-new drill (137) nice shirt (138) yellow leather sofa (139) gray candle (140) rubber bowl (141) gray vase (142) iranian box (143) mexican triangular book (144) triangular drill (145) little marker (146) mysterious bicycle (147) awful archaic sofa (148) circular ruler (149) wool shirt (150) smoking ball (151) circular necklace (152) white bird (153) violet wool guitar (154) black wood wrench (155) normal-size whittling marker (156) brand-new knife (157) big box (158) large walking scissors (159) german bed (160) enormous whittling apple (161) archaic spoon (162) square stapler (163) paper screwdriver (164) archaic guitar (165) archaic scissors (166) wool shoe (167) steel knife (168) pink bird (169) wood key (170) wonderful archaic screwdriver (171) old-fashioned key (172) massive saw (173) iranian jar (174) yellow glass plate (175) plastic hammer (176) circular vase (177) snorkeling pen (178) pink cardboard ring (179) green steel canvas (180) awful brand-new earring (181) japanese hat (182) black paper jar (183) pyramidal guitar (184) turkish trash can (185) ancient saw (186) typing banana (187) american bowl (188) crimson wool camera (189) black fiberglass brush (190) maroon iron plier (191) large piano (192) driving brush (193) silly brand-new camera (194) maroon key (195) rectangular table (196) violet fork (197) lovely ancient earring (198) small wrench (199) red dog (200) american shirt (201) thai clock (202) brown trash can (203) magenta cloth fire extinguisher (204) silly archaic bag (205) circular saw (206) pyramidal pencil (207) normal-size whittling car (208) mexican scissors (209) large car key (210) brand-new bicycle (211) magenta plastic ring (212) indian prismlike wrench (213) rubber screwdriver (214) snorkeling camera (215) snorkeling lamp (216) normal-size knife (217) cloth bowl (218) ancient speaker (219) obnoxious old-fashioned sunglasses (220) blue bird (221) russian pencil (222) indonesian chair (223) cloth sunglasses (224) midsize typing bottle (225) awful ancient car (226) wool bird (227) bangladeshi circular brush (228) glass ring (229) chinese shoe (230) little sofa (231) eating hat (232) large eating fork (233) lovely brand-new wrench (234) enormous plate (235) typing sunglasses (236) little whittling hammer (237) large whittling box (238) awful guitar\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) pakistani square red rubber big snorkeling archaic terrible bed\n(B) white plastic little eating brazilian square house\n(C) rectangular indian aqua rubber normal-size exercise archaic silly box\n(D) awful brand-new red wool little hiking german square trash can\n(E) awful archaic violet paper tiny whittling triangular egyptian pen\n(F) repulsive old-fashioned yellow steel massive whittling marker\n(G) brand-new indigo leather huge driving square thai bottle\n(H) ancient teal wool huge smoking japanese triangular spoon\n(I) cyan cardboard medium-size exercise rectangular brazilian ruler\n(J) square ethiopian black cloth medium-size hiking ancient wrench\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:184", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) obnoxious jar (2) circular lamp (3) terrible wallet (4) large iron sofa (5) nice box (6) black candle (7) green marker (8) rectangular stapler (9) nice guitar (10) cloth speaker (11) snorkeling key (12) smoking bed (13) turkish rectangular brush (14) old-fashioned speaker (15) violet brand-new speaker (16) obnoxious shoe (17) ridiculous candle (18) new trash can (19) huge hat (20) good scissors (21) green old-fashioned jar (22) ancient marker (23) wonderful house (24) enormous rubber bed (25) small wood wallet (26) snorkeling flower pot (27) repulsive hammer (28) midsize iron canvas (29) wood stapler (30) eating box (31) spherical ball (32) tiny rubber lamp (33) huge fiberglass bird (34) wonderful fork (35) obnoxious exercise plate (36) archaic shoe (37) repulsive hiking knife (38) circular piano (39) paper cup (40) thai pyramidal house (41) pakistani knife (42) hiking wallet (43) teal sunglasses (44) mexican bowl (45) circular plate (46) old-fashioned bag (47) normal-size brand-new american watch (48) leather black pyramidal brush (49) japanese square marker (50) russian square bowl (51) small leather wrench (52) huge bird (53) german pen (54) yellow sunglasses (55) eating shirt (56) enormous wool watch (57) obnoxious drinking house (58) massive ring\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) smoking wonderful black archaic mexican circular fiberglass enormous pen\n(B) indigo old-fashioned american circular driving awful bed\n(C) wonderful smoking indigo ancient congolese square plastic tiny shoe\n(D) medium-size wood magenta ancient pakistani circular snorkeling silly table\n(E) wonderful magenta ancient turkish circular cardboard big banana\n(F) brown old ethiopian triangular nice exercise plier\n(G) little rubber blue ancient indonesian square banana\n(H) snorkeling obnoxious aqua brand-new pakistani circular glass canvas\n(I) midsize steel cyan new brazilian square drinking calculator\n(J) silly drinking white old-fashioned indian rectangular wood lamp\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:186", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) little earring (2) brand-new congolese drill (3) rectangular violet wrench (4) nigerian watch (5) drinking bottle (6) spherical gray sofa (7) archaic congolese house (8) archaic bicycle (9) yellow book (10) iron driving lamp (11) wood driving vase (12) circular gray bowl (13) tiny watch (14) wonderful shoe (15) square black guitar (16) prismlike candle (17) smoking ruler (18) old toolbox (19) prismlike violet bowl (20) circular teal shirt (21) triangular crimson ball (22) cardboard hiking saw (23) rectangular plate (24) archaic brush (25) obnoxious normal-size ring (26) whittling dog (27) new wallet (28) lovely little wallet (29) iron whittling bed (30) small pencil (31) awful enormous clock (32) chinese saw (33) wonderful small plier (34) circular bird (35) rubber driving spoon (36) square black bicycle (37) pyramidal yellow plier (38) wool speaker (39) iron stapler (40) archaic filipino jar (41) silly marker (42) archaic american jar (43) square black fire extinguisher (44) triangular key (45) brand-new bangladeshi table (46) plastic apple (47) iranian shirt (48) spherical ring (49) cardboard walking shoe (50) good plate (51) tiny screwdriver (52) drinking dog (53) cardboard typing clock (54) wood trash can (55) small bowl (56) blue necklace (57) new sofa (58) indian canvas (59) triangular shirt (60) awful pencil (61) medium-size key (62) ridiculous shoe (63) wonderful massive key (64) fiberglass brush (65) old-fashioned russian wallet (66) repulsive shirt (67) turkish hammer (68) good jar (69) brand-new spoon (70) leather exercise shirt (71) old-fashioned german bicycle (72) old-fashioned filipino scissors (73) rectangular brown flower pot (74) wool drinking vase (75) wool bed (76) medium-size drill (77) repulsive brush (78) new pakistani shoe (79) glass hat (80) exercise bag (81) egyptian stapler (82) mexican calculator (83) pink sofa (84) brand-new fire extinguisher (85) terrible midsize toolbox (86) prismlike violet necklace (87) glass fire extinguisher (88) silly enormous candle (89) archaic japanese camera (90) mysterious enormous scissors (91) square bicycle (92) paper eating knife (93) archaic iranian book (94) steel shoe (95) huge clock (96) brown wallet (97) glass ball (98) wood driving piano (99) triangular cup (100) old-fashioned russian car (101) terrible massive stapler (102) pink flower pot (103) typing shoe (104) big sunglasses (105) teal sunglasses (106) wood snorkeling ruler (107) prismlike red banana (108) iranian wallet (109) wool brush (110) ridiculous plate (111) little necklace (112) large ball (113) silly ball (114) prismlike camera (115) blue trash can (116) rectangular black saw (117) wonderful bowl (118) filipino pencil (119) tiny bird (120) teal stapler (121) bangladeshi table (122) spherical sunglasses (123) midsize hammer (124) old bangladeshi shirt (125) lovely marker (126) glass typing clock (127) terrible dog (128) typing clock (129) brand-new lamp (130) indonesian hat (131) silly jar (132) obnoxious midsize banana (133) rectangular black screwdriver (134) prismlike ring (135) brand-new mexican speaker (136) rubber drinking camera (137) prismlike green pen (138) white shoe (139) triangular table (140) awful huge speaker (141) pyramidal brush (142) teal umbrella (143) leather watch (144) old thai piano (145) small ball (146) glass car key (147) lovely normal-size spoon (148) enormous guitar (149) circular teal scissors (150) rubber typing bowl (151) leather screwdriver (152) aqua cup (153) square black bottle (154) whittling ruler (155) typing fork (156) lovely big earring (157) violet ruler (158) normal-size earring (159) congolese camera (160) awful earring (161) typing brush (162) wonderful medium-size plier (163) steel walking saw (164) plastic driving car key (165) fiberglass walking flower pot (166) wood typing table (167) ancient earring (168) red toolbox (169) eating plier (170) pyramidal maroon bottle (171) old ruler (172) mysterious drill (173) old bed (174) old-fashioned german pencil (175) archaic congolese car (176) fiberglass snorkeling marker (177) awful medium-size hammer (178) circular trash can (179) old earring (180) red banana (181) pyramidal maroon bird (182) hiking sofa (183) old necklace (184) japanese ruler (185) normal-size speaker (186) spherical gray drill (187) bangladeshi canvas (188) aqua plastic german wrench (189) spherical canvas (190) little bed (191) little ball (192) new thai vase (193) triangular pink sofa (194) filipino flower pot (195) iron typing scissors (196) mysterious camera (197) hiking pen (198) archaic hat (199) gray clock (200) old-fashioned pakistani shirt (201) mysterious house (202) leather whittling earring (203) cloth driving wallet (204) thai wallet (205) nigerian candle (206) old-fashioned german cup (207) wonderful ruler (208) prismlike black camera (209) walking plate (210) snorkeling vase (211) silly book (212) wood snorkeling car key (213) square black pen (214) awful shirt (215) steel driving guitar (216) yellow bag (217) ancient bed (218) maroon car key (219) teal dog (220) medium-size earring (221) silly huge sofa (222) repulsive hat (223) pakistani plier (224) pyramidal eating ancient car key (225) driving toolbox (226) ancient nigerian key (227) fiberglass bowl (228) prismlike bicycle (229) normal-size fork (230) fiberglass eating bottle (231) lovely ball (232) nice scissors (233) indonesian shirt (234) wonderful midsize plier (235) large plate (236) iron smoking shoe (237) old bangladeshi sunglasses (238) pyramidal earring (239) leather wrench (240) big wrench (241) typing shirt\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) medium-size silly wool eating old ethiopian bicycle\n(B) black leather hiking archaic filipino terrible massive canvas\n(C) indigo leather typing old nigerian tiny good knife\n(D) huge repulsive wood walking ancient congolese pink square spoon\n(E) triangular green fiberglass whittling ancient nigerian medium-size speaker\n(F) pyramidal violet plastic drinking old-fashioned ethiopian massive silly knife\n(G) square yellow paper drinking old-fashioned russian necklace\n(H) prismlike indigo plastic eating old-fashioned japanese ridiculous normal-size fork\n(I) obnoxious midsize wood hiking new indonesian gray prismlike bowl\n(J) normal-size wool walking old turkish aqua circular table\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:187", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) medium-size cloth fork (2) square walking shoe (3) enormous steel bird (4) pink congolese watch (5) snorkeling guitar (6) rectangular eating calculator (7) prismlike cup (8) wood camera (9) nice box (10) massive shirt (11) terrible pen (12) pink key (13) cyan house (14) spherical hat (15) cyan vietnamese pencil (16) russian house (17) rectangular hiking fork (18) old trash can (19) rectangular candle (20) driving drill (21) midsize plastic umbrella (22) prismlike drinking key (23) little leather sunglasses (24) awful cup (25) circular exercise sunglasses (26) filipino fire extinguisher (27) repulsive archaic bag (28) mysterious archaic chair (29) green bangladeshi stapler (30) archaic hammer (31) cyan candle (32) archaic key (33) brown turkish book (34) fiberglass fork (35) nice new box (36) spherical car key (37) triangular sunglasses (38) awful ancient flower pot (39) square piano (40) big screwdriver (41) archaic scissors (42) glass table (43) circular snorkeling plier (44) large wool cup (45) spherical ruler (46) eating guitar (47) rectangular driving cup (48) circular typing toolbox (49) white wallet (50) old-fashioned cup (51) red egyptian watch (52) square ball (53) obnoxious archaic speaker (54) new chair (55) circular necklace (56) midsize bowl (57) black marker (58) driving cup (59) blue apple (60) old-fashioned screwdriver (61) spherical pen (62) little fiberglass bottle (63) blue filipino bottle (64) red filipino sunglasses (65) drinking banana (66) mysterious old-fashioned necklace (67) filipino wallet (68) blue vietnamese key (69) brand-new hat (70) vietnamese screwdriver (71) triangular banana (72) brand-new bicycle (73) silly brand-new apple (74) terrible bed (75) old-fashioned car key (76) big knife (77) rectangular bag (78) teal saw (79) japanese chair (80) rectangular pen (81) huge brush (82) obnoxious old-fashioned key (83) black congolese spoon (84) yellow drill (85) egyptian marker (86) circular piano (87) normal-size spoon (88) lovely shoe (89) pyramidal whittling screwdriver (90) wood toolbox (91) red bird (92) eating chair (93) midsize dog (94) nice new earring (95) normal-size marker (96) circular typing plier (97) blue key (98) wool fork (99) thai pencil (100) ancient house (101) square snorkeling ball (102) old-fashioned shoe (103) prismlike eating sofa (104) square driving lamp (105) repulsive bed (106) prismlike vase (107) lovely old flower pot (108) massive iron piano (109) rectangular car key (110) ethiopian bed (111) cloth flower pot (112) paper canvas (113) midsize pencil (114) russian repulsive whittling plate (115) prismlike table (116) brand-new watch (117) ridiculous new key (118) glass car (119) normal-size scissors (120) good watch (121) yellow german wallet (122) maroon russian hat (123) wool brush (124) brand-new drill (125) smoking bird (126) pyramidal snorkeling trash can (127) good hammer (128) fiberglass flower pot (129) aqua thai necklace (130) nice banana (131) little paper dog (132) enormous lamp (133) square drinking shoe (134) maroon old-fashioned rectangular flower pot (135) cloth lamp (136) maroon car key (137) pink shirt (138) tiny pencil (139) square toolbox (140) medium-size marker (141) red mexican shirt (142) enormous glass watch (143) gray bird (144) spherical canvas (145) square scissors (146) brown indian screwdriver (147) yellow indonesian plate (148) silly wallet (149) good banana (150) eating ball (151) silly archaic pencil (152) rectangular fork (153) brown calculator (154) maroon indian fork (155) paper lamp (156) normal-size wool drill (157) old plate (158) eating bird (159) smoking banana (160) leather box (161) brand-new sunglasses (162) midsize plastic scissors (163) big watch (164) pink necklace (165) red japanese toolbox (166) archaic book (167) midsize wood toolbox (168) mysterious archaic car key (169) tiny wool calculator (170) mexican knife (171) crimson key (172) crimson bottle (173) midsize bicycle (174) yellow wallet (175) mysterious new stapler (176) good sunglasses (177) spherical typing fork (178) wonderful scissors (179) pakistani plate (180) huge fiberglass necklace (181) aqua plier (182) japanese bed (183) prismlike banana (184) crimson ethiopian car (185) terrible clock (186) large wood brush (187) brand-new apple (188) circular shirt (189) driving guitar (190) smoking chair (191) rectangular hiking shoe (192) german house (193) triangular ball (194) spherical cup (195) tiny wool earring (196) normal-size fire extinguisher (197) pyramidal typing key (198) thai vase (199) large paper bowl (200) good trash can (201) paper book (202) tiny watch (203) teal hammer (204) snorkeling earring (205) eating house (206) leather hammer (207) black iranian hat (208) terrible wallet (209) triangular stapler (210) large cloth canvas (211) egyptian car (212) awful ancient banana (213) repulsive new marker (214) wood car key (215) maroon candle (216) cyan apple (217) nice brand-new bag (218) red watch (219) spherical eating ball (220) pyramidal key (221) spherical driving sofa (222) smoking sofa (223) prismlike whittling bottle (224) indian ball (225) turkish bottle (226) new marker (227) congolese shirt (228) chinese table (229) exercise bag (230) walking sunglasses (231) exercise fork (232) huge piano\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) little plastic silly brand-new spherical walking hammer\n(B) fiberglass awful old triangular typing german pink bicycle\n(C) cyan indian lovely old-fashioned rectangular exercise large pen\n(D) green japanese mysterious old circular walking hat\n(E) pakistani terrible old-fashioned triangular walking large paper bowl\n(F) massive terrible old-fashioned spherical snorkeling thai blue toolbox\n(G) repulsive old-fashioned pyramidal whittling midsize leather sunglasses\n(H) lovely brand-new circular smoking paper massive spoon\n(I) little fiberglass good archaic spherical driving ethiopian maroon car\n(J) russian mysterious new spherical walking paper small camera\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:191", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) spherical hat (2) normal-size smoking fork (3) filipino cyan fire extinguisher (4) circular fiberglass vase (5) normal-size drill (6) enormous exercise canvas (7) circular yellow big ball (8) enormous driving sunglasses (9) prismlike banana (10) whittling knife (11) thai violet car key (12) russian black box (13) huge lamp (14) old-fashioned bag (15) big typing toolbox (16) drinking stapler (17) prismlike fiberglass drill (18) spherical plastic marker (19) indian jar (20) chinese flower pot (21) old-fashioned bowl (22) little hammer (23) glass ruler (24) huge drinking bicycle (25) egyptian camera (26) ridiculous old-fashioned box (27) rectangular bottle (28) iron wallet (29) big house (30) german car (31) rubber umbrella (32) prismlike wood banana (33) filipino cup (34) rectangular glass clock (35) big sofa (36) normal-size whittling flower pot (37) ancient table (38) old-fashioned toolbox (39) rectangular fiberglass box (40) drinking wrench (41) archaic apple (42) pyramidal book (43) enormous car key (44) terrible umbrella (45) circular camera (46) pyramidal ring (47) wood brazilian whittling jar (48) small sofa (49) plastic bicycle (50) large driving key (51) fiberglass dog (52) midsize hiking canvas (53) nigerian green car (54) square cloth necklace (55) spherical wool fire extinguisher (56) terrible ruler (57) big table (58) circular wool bottle (59) black bird (60) normal-size snorkeling ruler (61) huge saw (62) circular wood piano (63) big canvas (64) ancient marker (65) nice old-fashioned box (66) thai yellow clock (67) new drill (68) brown banana (69) circular cardboard knife (70) small eating bowl (71) normal-size saw (72) lovely plate (73) blue scissors (74) repulsive new bottle (75) brand-new sofa (76) awful old-fashioned hat (77) turkish clock (78) terrible bag (79) german wallet (80) fiberglass vase (81) ethiopian fork (82) large lamp (83) old scissors (84) aqua chair (85) mexican cyan necklace\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) iron indian black medium-size driving old-fashioned repulsive spoon\n(B) lovely egyptian green big drinking leather circular watch\n(C) spherical fiberglass russian indigo little driving terrible old hat\n(D) rectangular steel japanese teal huge snorkeling obnoxious fork\n(E) pyramidal paper japanese teal normal-size smoking toolbox\n(F) egyptian green little smoking archaic obnoxious bed\n(G) obnoxious old-fashioned indian aqua huge snorkeling fiberglass trash can\n(H) indonesian white tiny snorkeling wonderful ancient knife\n(I) archaic filipino crimson massive exercise rubber pyramidal vase\n(J) new nice congolese black enormous walking bicycle\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:193", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) glass pen (2) yellow car (3) obnoxious driving chair (4) ridiculous brush (5) archaic rubber bicycle (6) japanese sofa (7) good table (8) tiny candle (9) enormous ethiopian knife (10) magenta ruler (11) blue sofa (12) square canvas (13) bangladeshi cup (14) wool fork (15) circular maroon sunglasses (16) silly whittling ball (17) square yellow vase (18) old-fashioned sofa (19) teal bicycle (20) brand-new ring (21) driving wrench (22) repulsive toolbox (23) silly house (24) chinese car key (25) spherical maroon saw (26) rectangular marker (27) old vase (28) pyramidal drill (29) ridiculous fork (30) yellow earring (31) rectangular teal apple (32) huge pakistani guitar (33) whittling earring (34) paper sofa (35) triangular ring (36) yellow bag (37) brand-new cloth piano (38) square car (39) archaic scissors (40) old watch (41) big key (42) rectangular hammer (43) steel canvas (44) spherical green table (45) brand-new plastic apple (46) ridiculous hiking bottle (47) old-fashioned dog (48) circular aqua trash can (49) ridiculous whittling guitar (50) old-fashioned shirt (51) wonderful car (52) circular magenta knife (53) wood plier (54) brown hammer (55) whittling key (56) large turkish bed (57) ridiculous house (58) ancient car (59) new screwdriver (60) cardboard plate (61) japanese cup (62) wonderful snorkeling jar (63) indonesian wrench (64) gray clock (65) brand-new fiberglass watch (66) little vietnamese key (67) big trash can (68) triangular black wrench (69) normal-size congolese scissors (70) silly typing vase (71) archaic bottle (72) normal-size bangladeshi banana (73) wool bird (74) smoking bowl (75) ridiculous exercise drill (76) iron sofa (77) gray plate (78) fiberglass screwdriver (79) nigerian table (80) chinese table (81) brand-new glass ruler (82) iron shoe (83) rectangular magenta chair (84) chinese calculator (85) brown canvas (86) cardboard sunglasses (87) small camera (88) wood wrench (89) square drill (90) good necklace (91) old rubber key (92) egyptian ring (93) german cup (94) old wood bird (95) repulsive vase (96) prismlike necklace (97) prismlike stapler (98) exercise flower pot (99) square bird (100) triangular canvas (101) prismlike knife (102) prismlike aqua ball (103) new glass brush (104) square yellow bottle (105) good calculator (106) wonderful driving box (107) mysterious umbrella (108) brand-new drill (109) large indonesian dog (110) tiny congolese trash can (111) spherical yellow apple (112) good snorkeling wallet (113) eating ruler (114) awful cup (115) old-fashioned book (116) awful speaker (117) ancient brush (118) small spoon (119) circular bag (120) drinking triangular congolese toolbox (121) brand-new leather plier (122) huge indian bicycle (123) old-fashioned fiberglass ruler (124) repulsive apple (125) ridiculous bowl (126) repulsive cyan enormous stapler (127) square brown trash can (128) midsize congolese flower pot (129) mysterious knife (130) huge filipino flower pot (131) normal-size umbrella (132) spherical brown book (133) new plastic clock (134) old-fashioned earring (135) triangular green knife (136) old-fashioned ring (137) wonderful walking knife (138) ridiculous bottle (139) brown shoe (140) prismlike gray ruler (141) archaic shirt (142) terrible car key (143) triangular maroon apple (144) wonderful stapler (145) nice exercise wrench (146) spherical white wrench (147) old-fashioned umbrella (148) brand-new toolbox (149) old fiberglass cup (150) old-fashioned cardboard piano (151) huge pen (152) enormous iranian bowl (153) maroon piano (154) new ruler (155) silly whittling fork (156) blue saw (157) square key (158) triangular pink banana (159) brown fire extinguisher (160) archaic sunglasses (161) prismlike car key (162) rubber scissors (163) repulsive house (164) square bag (165) normal-size indonesian ruler (166) repulsive smoking screwdriver (167) large indonesian ruler (168) little brazilian shirt (169) steel lamp (170) spherical watch (171) black screwdriver (172) walking earring (173) obnoxious hat (174) nice toolbox (175) new bottle (176) little ethiopian sofa (177) little dog (178) small calculator (179) wonderful eating pen (180) archaic leather calculator (181) large ethiopian ruler (182) maroon ring (183) enormous bag (184) new paper dog (185) awful wrench (186) wool umbrella (187) cloth watch (188) nigerian lamp (189) silly screwdriver (190) brand-new key (191) old-fashioned wood ball (192) archaic knife (193) huge filipino speaker (194) new cardboard hammer (195) normal-size spoon (196) new iron guitar (197) pyramidal plate (198) prismlike aqua clock (199) drinking wrench (200) typing bag (201) prismlike bowl (202) driving house (203) bangladeshi speaker (204) awful stapler (205) midsize congolese drill (206) old wood brush (207) new wood clock (208) prismlike sofa (209) enormous guitar (210) fiberglass necklace (211) normal-size pakistani ball (212) big american bed (213) big bed (214) large american cup (215) driving car (216) smoking drill (217) snorkeling screwdriver (218) old steel calculator (219) brand-new cloth ball (220) american bag (221) normal-size trash can (222) yellow toolbox (223) wool hammer (224) mysterious drinking ring (225) egyptian wallet\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) pyramidal red huge brazilian ancient paper canvas\n(B) good snorkeling rectangular red massive nigerian new wool table\n(C) leather ancient spherical gray tiny brazilian snorkeling silly bag\n(D) awful drinking square teal small filipino rubber piano\n(E) terrible drinking rectangular pink large nigerian paper brand-new box\n(F) awful exercise spherical indigo enormous thai brand-new knife\n(G) whittling circular black midsize russian old-fashioned plastic bird\n(H) typing pyramidal green tiny congolese fiberglass new dog\n(I) archaic rectangular yellow little indonesian typing awful necklace\n(J) repulsive exercise rectangular red little indian drill\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:194", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) prismlike silly trash can (2) triangular good watch (3) huge wrench (4) nigerian ball (5) wool scissors (6) fiberglass red shoe (7) vietnamese wallet (8) triangular terrible wallet (9) brand-new screwdriver (10) thai chair (11) archaic indonesian circular table (12) drinking lamp (13) paper calculator (14) steel wallet (15) rectangular awful vase (16) red watch (17) black candle (18) brand-new chair (19) aqua drill (20) cardboard pen (21) ancient marker (22) hiking tiny nice box (23) old-fashioned sofa (24) medium-size japanese necklace (25) pyramidal obnoxious book (26) large brazilian ball (27) mysterious sofa (28) walking lamp (29) glass fork (30) massive wrench (31) drinking guitar (32) massive wallet (33) teal pen (34) ancient key (35) steel crimson candle (36) snorkeling car key (37) little japanese book (38) typing drill (39) old bird (40) pakistani book (41) medium-size scissors (42) iron toolbox (43) nice umbrella (44) leather banana (45) hiking sofa (46) rectangular hammer (47) little plier (48) gray camera (49) huge guitar (50) archaic stapler (51) steel pink box (52) square drill (53) little pen (54) obnoxious calculator (55) circular ruler (56) brazilian scissors (57) terrible sunglasses (58) spherical book (59) triangular clock (60) square wallet (61) spherical ridiculous clock (62) ancient wrench (63) prismlike obnoxious speaker (64) smoking ball (65) leather black umbrella (66) pyramidal obnoxious ring (67) enormous egyptian calculator (68) enormous brazilian plier (69) gray car (70) wonderful fork (71) pyramidal obnoxious trash can (72) normal-size brazilian wrench (73) enormous japanese bird (74) leather black fork (75) new snorkeling apple (76) wonderful clock (77) new smoking marker (78) rectangular terrible canvas (79) leather trash can (80) little plate (81) spherical terrible bottle (82) indian necklace (83) triangular silly watch (84) drinking bed (85) medium-size american bicycle (86) rubber vase\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) wood indigo small indonesian circular wonderful walking calculator\n(B) crimson glass huge nigerian prismlike silly snorkeling brand-new brush\n(C) driving massive iranian prismlike repulsive yellow paper candle\n(D) brand-new walking large mexican rectangular obnoxious cardboard red candle\n(E) ancient exercise large indonesian circular nice brown fiberglass wallet\n(F) old-fashioned hiking big filipino circular wonderful wool hammer\n(G) new driving enormous indian triangular mysterious pencil\n(H) maroon glass small turkish pyramidal awful hat\n(I) steel black large ethiopian square lovely plier\n(J) drinking small brazilian triangular good fiberglass red saw\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:196", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) circular toolbox (2) spherical ridiculous fire extinguisher (3) archaic ball (4) enormous car (5) circular repulsive sofa (6) eating knife (7) congolese small jar (8) archaic maroon fork (9) pink fire extinguisher (10) rectangular bag (11) square bird (12) green canvas (13) wood typing lamp (14) russian guitar (15) crimson umbrella (16) ancient car (17) ancient indigo bag (18) cloth fire extinguisher (19) old speaker (20) tiny vase (21) little drill (22) rubber guitar (23) eating ball (24) vietnamese dog (25) wool pen (26) obnoxious sunglasses (27) wonderful shirt (28) lovely book (29) massive bird (30) congolese plier (31) spherical clock (32) large key (33) circular good plate (34) triangular obnoxious bed (35) little ruler (36) brand-new aqua bowl (37) gray candle (38) new car key (39) brand-new candle (40) circular lovely fire extinguisher (41) massive plier (42) gray ring (43) leather whittling key (44) nice bag (45) circular guitar (46) old-fashioned wrench (47) good trash can (48) big drill (49) silly clock (50) paper walking lamp (51) brown trash can (52) leather bowl (53) archaic earring (54) indian hammer (55) teal scissors (56) circular hammer (57) brand-new book (58) filipino book (59) plastic hiking flower pot (60) wonderful box (61) triangular marker (62) brand-new green plier (63) archaic violet wrench (64) german midsize piano (65) snorkeling fork (66) archaic bird (67) mexican huge pencil (68) drinking marker (69) typing chair (70) paper exercise saw (71) brand-new violet bicycle (72) old-fashioned piano (73) ancient saw (74) pyramidal box (75) brown bag (76) leather walking car (77) eating vase (78) snorkeling wrench (79) pyramidal clock (80) bangladeshi earring (81) tiny bicycle (82) obnoxious calculator (83) enormous bed (84) new pen (85) leather shirt (86) steel piano (87) triangular lovely fire extinguisher (88) smoking bottle (89) cloth brush (90) brand-new violet wrench (91) prismlike lovely earring (92) spherical pencil (93) whittling bottle (94) brand-new magenta bowl (95) normal-size fork (96) vietnamese table (97) magenta house (98) blue brush (99) circular mysterious ruler (100) triangular silly speaker (101) turkish huge spoon (102) normal-size brush (103) ancient wrench (104) big lamp (105) new brown earring (106) archaic ring (107) new candle (108) huge drill (109) thai clock (110) brand-new brown stapler (111) large archaic walking house (112) square stapler (113) enormous cup (114) nigerian big wrench (115) rubber fire extinguisher (116) rubber wrench (117) eating marker (118) crimson flower pot (119) nigerian medium-size drill (120) old book (121) archaic scissors (122) egyptian normal-size sunglasses (123) triangular terrible scissors (124) triangular fire extinguisher (125) circular nice plier (126) lovely piano (127) awful fire extinguisher (128) obnoxious vase (129) exercise watch (130) aqua book (131) wonderful candle (132) old aqua brush (133) german dog (134) old-fashioned spoon (135) steel key (136) spherical bowl (137) whittling bed (138) ridiculous shoe (139) walking sunglasses (140) huge screwdriver (141) pyramidal silly sunglasses (142) blue shoe (143) drinking pen (144) triangular plier (145) midsize candle (146) cyan fork (147) indonesian key (148) rectangular bed (149) circular nice cup (150) hiking apple (151) prismlike house (152) archaic umbrella (153) egyptian trash can (154) triangular wonderful wallet (155) old-fashioned cyan sofa (156) square flower pot (157) spherical shoe (158) exercise bird (159) repulsive ruler (160) brand-new wallet (161) brand-new necklace (162) silly sofa (163) pink lamp (164) rubber smoking jar (165) medium-size earring (166) fiberglass fire extinguisher (167) brazilian violet steel jar (168) brand-new teal ring (169) cardboard cup (170) wool apple (171) new calculator (172) driving fork (173) leather snorkeling wallet (174) whittling key (175) new bed (176) tiny calculator (177) violet ring (178) thai enormous ruler (179) good plate (180) archaic pink candle (181) drinking canvas (182) violet bird (183) circular awful car key (184) prismlike bowl (185) egyptian sunglasses (186) tiny wallet (187) triangular brush (188) chinese tiny house (189) turkish massive plate (190) rectangular obnoxious hat (191) exercise lamp (192) brown car (193) american tiny earring (194) prismlike silly plate (195) prismlike good clock (196) green saw (197) hiking plate (198) new maroon marker (199) new stapler (200) new scissors (201) wood typing bag (202) pyramidal mysterious table (203) indonesian pencil (204) vietnamese camera (205) typing vase (206) enormous box (207) new saw (208) archaic cyan bowl (209) snorkeling umbrella (210) gray saw (211) huge canvas (212) leather knife (213) prismlike repulsive piano (214) brand-new pink sofa (215) brand-new ball (216) fiberglass wallet (217) terrible table (218) japanese small table (219) small watch (220) pyramidal lovely pencil (221) japanese large table (222) old indigo key (223) nigerian pen (224) rectangular key (225) mexican hammer (226) wool earring (227) exercise wrench (228) drinking plate (229) mexican big apple (230) old black bird (231) rectangular shirt (232) nigerian box (233) big trash can (234) triangular piano (235) chinese big chair (236) square umbrella (237) eating cup (238) american tiny chair (239) driving plate (240) prismlike box (241) old-fashioned pink bag (242) maroon fork (243) new indigo pencil (244) hiking vase (245) mexican midsize earring\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) ancient crimson iron eating circular lovely sunglasses\n(B) ridiculous square ancient brown cardboard whittling wallet\n(C) iranian little old violet paper drinking lovely bird\n(D) rectangular old white leather walking huge pakistani sunglasses\n(E) pakistani massive brand-new brown steel eating triangular bottle\n(F) egyptian enormous old-fashioned crimson cloth walking plate\n(G) prismlike good old-fashioned brown fiberglass whittling book\n(H) wonderful old aqua cardboard exercise normal-size iranian fire extinguisher\n(I) rectangular ridiculous old teal wool typing midsize bicycle\n(J) silly circular brand-new blue fiberglass snorkeling midsize filipino bird\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:197", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) enormous crimson car key (2) tiny bicycle (3) huge brown jar (4) midsize white umbrella (5) iranian new candle (6) smoking piano (7) black hammer (8) leather pen (9) cyan table (10) whittling bird (11) turkish marker (12) ridiculous rectangular scissors (13) steel bottle (14) triangular wrench (15) aqua book (16) cloth book (17) lovely prismlike marker (18) chinese archaic dog (19) repulsive cup (20) bangladeshi new house (21) square drill (22) typing enormous prismlike calculator (23) obnoxious pyramidal necklace (24) japanese pencil (25) black plier (26) silly hammer (27) wool whittling apple (28) rectangular plate (29) awful square saw (30) old flower pot (31) tiny vase (32) good table (33) terrible square bird (34) red necklace (35) rubber bottle (36) drinking ring (37) nice triangular shoe (38) typing bicycle (39) hiking shoe (40) plastic walking shoe (41) eating drill (42) awful prismlike car (43) huge pink scissors (44) normal-size magenta watch (45) american apple (46) square candle (47) large sofa (48) triangular speaker (49) obnoxious pyramidal saw (50) medium-size violet shoe (51) spherical sofa (52) ancient clock (53) drinking ball (54) enormous magenta umbrella (55) glass walking piano (56) rubber white repulsive drill (57) whittling wrench (58) japanese brand-new bag (59) typing plier (60) paper typing bag (61) typing umbrella (62) pyramidal trash can (63) archaic shirt (64) small apple (65) obnoxious shirt (66) wool knife (67) old-fashioned shoe (68) obnoxious ruler (69) ancient necklace (70) japanese toolbox (71) massive cyan scissors (72) cloth drill (73) snorkeling ring (74) indonesian shirt (75) nice square bird (76) rubber pen (77) wonderful earring (78) glass typing guitar\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) japanese massive teal awful circular typing steel banana\n(B) new pakistani tiny crimson lovely pyramidal key\n(C) steel whittling medium-size magenta lovely circular brazilian umbrella\n(D) little yellow mysterious pyramidal nigerian old-fashioned flower pot\n(E) glass driving normal-size black terrible spherical ancient brazilian key\n(F) german old-fashioned little yellow wonderful square smoking cardboard necklace\n(G) eating medium-size black silly pyramidal russian old-fashioned spoon\n(H) old-fashioned small blue awful rectangular exercise rubber screwdriver\n(I) fiberglass whittling small teal mysterious prismlike chinese archaic knife\n(J) fiberglass snorkeling tiny maroon repulsive prismlike apple\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:hyperbaton:198", "request": "In a variant of English, we are given that the following sentences have correct adjective order:\n(1) enormous watch (2) obnoxious bicycle (3) archaic fork (4) large spoon (5) triangular chair (6) paper sofa (7) leather brush (8) brand-new wallet (9) silly drill (10) square glass bag (11) tiny new bird (12) terrible white book (13) large pen (14) glass earring (15) awful white camera (16) mysterious pink canvas (17) nigerian sunglasses (18) prismlike fire extinguisher (19) normal-size drinking pyramidal hat (20) violet car key (21) pyramidal shirt (22) triangular fiberglass plate (23) big spoon (24) maroon necklace (25) triangular canvas (26) silly calculator (27) midsize old book (28) pyramidal cardboard brush (29) terrible yellow pencil (30) old car key (31) ethiopian drinking candle (32) triangular wallet (33) bangladeshi pencil (34) blue ball (35) rectangular box (36) spherical plastic watch (37) square pen (38) lovely black scissors (39) german key (40) brand-new ring (41) wonderful chair (42) rectangular book (43) large bag (44) mexican plier (45) smoking plate (46) vietnamese screwdriver (47) good indigo clock (48) blue cup (49) tiny old-fashioned jar (50) cardboard speaker (51) japanese whittling chair (52) wool chair (53) russian snorkeling speaker (54) maroon lamp (55) ridiculous banana (56) silly canvas (57) white banana (58) repulsive red sunglasses (59) tiny ancient sunglasses (60) indonesian drinking screwdriver (61) prismlike fiberglass bicycle (62) repulsive canvas (63) prismlike iron bird (64) little apple (65) awful ring (66) big banana (67) wool speaker (68) old-fashioned cup (69) good blue bed (70) old-fashioned bag (71) enormous scissors (72) terrible red drill (73) rectangular fiberglass sofa (74) old-fashioned wrench (75) terrible yellow watch (76) medium-size scissors (77) huge archaic box (78) massive brand-new piano (79) american drinking car (80) small fire extinguisher (81) cloth wrench (82) yellow plier (83) wonderful hat (84) vietnamese stapler (85) new plate (86) good ring (87) silly ring (88) old-fashioned car (89) enormous bird (90) square cloth hammer (91) turkish canvas (92) indian smoking fork (93) iranian typing stapler (94) spherical bicycle (95) good knife (96) walking bottle (97) big old-fashioned guitar (98) wonderful maroon speaker (99) indigo earring (100) silly toolbox (101) lovely speaker (102) indian driving umbrella (103) circular canvas (104) ridiculous trash can (105) good banana (106) brazilian snorkeling plier (107) archaic canvas (108) driving drill (109) fiberglass ruler (110) small house (111) bangladeshi drinking ruler (112) walking key (113) repulsive gray shoe (114) obnoxious aqua bowl (115) brand-new banana (116) blue bed (117) mysterious teal piano (118) prismlike wool guitar (119) ridiculous necklace (120) brazilian walking bottle (121) prismlike brush (122) rectangular screwdriver (123) leather watch (124) obnoxious earring (125) indonesian whittling fire extinguisher (126) medium-size candle (127) ridiculous canvas (128) normal-size ancient jar (129) big old bird (130) brazilian snorkeling shirt (131) little brand-new canvas (132) spherical shirt (133) old-fashioned egyptian cardboard ruler (134) ridiculous guitar (135) glass spoon (136) brown vase (137) typing bird (138) smoking calculator (139) snorkeling earring (140) normal-size new shoe (141) old marker (142) repulsive cyan guitar (143) medium-size new clock (144) massive ancient wallet (145) pyramidal wool candle (146) tiny guitar (147) red bag (148) indonesian snorkeling stapler (149) egyptian spoon (150) enormous calculator (151) prismlike wood clock (152) wood pen (153) small stapler (154) mexican apple (155) pyramidal iron camera (156) rubber ruler (157) yellow bowl (158) little old toolbox (159) large pencil (160) egyptian whittling knife (161) circular vase (162) huge hammer (163) big fire extinguisher (164) new sunglasses (165) pyramidal plastic clock (166) exercise spoon (167) thai ring (168) smoking flower pot (169) steel scissors (170) large house\n\nIn this variant of English, which of the following sentences (Options A-J) use the correct adjective order? If none of the sentences (Options A-J) use the correct adjective order, select option K. Select all that apply.\n(A) new bangladeshi eating rectangular cardboard indigo ridiculous plate\n(B) repulsive teal german whittling spherical cardboard new bicycle\n(C) archaic russian drinking circular fiberglass awful blue necklace\n(D) gray awful iranian drinking triangular leather archaic earring\n(E) big old indian hiking rectangular plastic wonderful indigo car key\n(F) obnoxious blue mexican snorkeling square iron new medium-size scissors\n(G) repulsive congolese snorkeling prismlike wood old huge fork\n(H) egyptian whittling triangular leather silly white ring\n(I) midsize ancient bangladeshi snorkeling pyramidal plastic ridiculous bottle\n(J) huge old japanese driving rectangular steel guitar\n(K) None of the above\n\nProvide your final answer as a concatenation of all the correct choices. For example, if B and C have correct adjective order, then your final answer must be \"BC\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:001", "request": "The following are words of the Micmac language written in the so-called Listuguj orthography, their phonetic transcriptions and English translations:\n\n1. tmi’gn | [dəmīgən] | axe\n2. an’stawteg | [anəstawtek] | unsafe\n3. gjiansale’wit | [əkciansalēwit] | archangel\n4. mgumie’jo’tlatl | [əmkumiējōdəladəl] | to shoe (a horse)\n5. amqwanji’j | [amxʷancīc] | spoon\n6. e’jnt | [ējənt] | Indian agent\n7. tplutaqan | [ətpəludaɣan] | law\n8. ge’gwising | [gēgʷisink] | to lie on the top\n9. lnu’sgw | [lənūskw] | Indian woman\n10. g’p’ta’q | [gəbədāx] | above, overhead\n11. epsaqtejg | [epsaxteck] | stove\n\nTranscribe the following words:\ntg’poq | spring water\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:005", "request": "Given are words of two dialects of the Romansh language and their English translations. Some cells have been left blank:\n\nSursilvan | Engadine | \ntut | tuot | all\nura | ura | time\n(1) | uolm | elm\nstumi | (2) | stomach\ndunna | duonna | woman\nnum | nom | name\nnums | noms | names\n(3) | cuort | short\nmund | (4) | world\ninsumma | insomma | finally\nnumer | nomer | number\nfuorcla | (5) | mountain pass\n(6) | plomba | tooth filling\n(7) | muossar | to show\nbuglia | buoglia | mash, pulp\ndiscuors | discuors | conversation\npuolpa | puolpa | dried meat\nangul | angul | angle\nfuorma | fuorma | form\nflur | flur | flower\nculant | (8) | generous\n\nFill in the masked element indicated with (3), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:006", "request": "Below you see phrases in the Yoruba language (in phonetic transcription) and their literal English translations:\n\n1. [aɟɔ ɔkɔ] | the husband's dog\n2. [ìlé elu] | the stranger's city\n3. [igi ìyá] | the mother's tree\n4. [ɔka àɟɛ́] | the witch's husband\n5. [ìfó owó] | the love of money\n6. [ɛ̀bó orí] | the vicinity of the head (i.e., near the head)\n7. [ìyá alé] | the house's mother (i.e., mistress of the house, elder wife)\n8. [àɟɛ́ ɛ̀lú] | the city's witch (i.e., the city witch)\n9. [àké egi] | the axe of the tree (i.e., a wooden axe)\n10. [owó olé] | the money of the house (i.e., rent)\n11. [ìlú ùfɛ́] | the city of love\n12. [orá aɟá] | the dog's head\n13. [igɔ ɔkɔ] | the husband's tree\n\nTranslate into English:\n[aɟé elu]\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:007", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (9), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:010", "request": "Here are some words and word combinations in Rotuman as well as their English translations:\n\n‘el‘ele | shallow\n‘ele | to be near\n‘olo | to cut\na‘öf fau | year’s end\nfäeag ‘u‘u | to use sign language\nfau | year\nhạfhạfu | rocky\nhuag ‘el‘ele | impatient\nhuag to‘a | courageous\nhül hạfu | to blow (of a hurricane)\nhün kia | base of the neck\nhuli to | turn over\nhuni | lower end\nis ‘ā | sharp-pointed\nis susu | nipple\nlala | deep\nmaf tiro | spectacles\nmamasa | solid\nmạtiti | coldness\nmạtit mamasa | ice\nmoafmofa | littered with rubbish\nniu | copra\nnu‘suar tiro | window\nnu‘sura | door\npala | pierce\npiri | to curl\npoagpoga, palpala | covered with holes\npogi | night\npuhrạ ki | to boil, to bubble up\npulu | glue\nkạlu | bracelet, to encircle\nriamrima | shiny\nrū huga | stomach-ache\nto‘a | hero\n\nTranslate into English:\nhạf puhrạ ki\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:011", "request": "Here are some sentences in Kunuz Nubian and their English translations:\n\n1. ar kanarriːcciːg kamiːg jaːnticcirsu. | We bought the camels for the neighbours.\n2. tirt kadeːg allesu. | The owner repaired the dress.\n3. jahali waliːg darbadki biticcirra. | The young men will give the chicken to the dogs.\n4. man jahalgi kadeːcciːg maːgtirsu. | He stole the dresses for the young man.\n5. ay beyyeːcciːg ajaːnirri. | I am buying the necklaces.\n6. wal aygi baːbiːg eldeːnsu. | The dog found the doors for me.\n7. magas ikki waliːg ticcirsu. | The thief gave you (pl.) the dogs.\n8. iːdi magaski kamiːg tirsa. | The men gave the camels to the thief.\n9. ay hanuːg bijomri. | I will strike the donkey.\n10. sarkaːyi aygi beyyeːcciːg adeːnda. | The cowards are giving me the necklaces.\n\nTranslate into Kunuz Nubian:\nWe will steal him.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:020", "request": "Given are verb forms of the Menominee language as well as their English translations:\n\nkewǣpeqtaq | we begin\nkawāham | he fells it by tool\nnepītohnæm | I walk here (to this place)\nkēskenam | he breaks it through by hand\npahkǣsam | he cuts it off\nkekǣtohnæq | we walk out\npītenam | he passes it here\nkewǣpānæhkæq | we begin to dig\ntawǣsam | he cuts a hole in it\nnekǣtahan | I pry it out by tool\npāhkaham | he opens it by tool (by raising a lid or opening a door)\nkekēskahtæq | we bite it through\nwackōhnæw | he walks roundabout, by a detour\nnewāckesan | I cut around it\nketǣnam | he takes it out by hand\nketāwahtæq | we bite, gnaw a hole in it\nwǣpohnæw | he begins walking\nnekāweqtam | I lie down\npāhkeqtaw | e opens up\nkepītahtæq | we come eating it; we bring it in our mouths\nnekāwāhpem | I fall over laughing\n\nTranslate into Menominee:\nwe lay it flat by hand\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:022", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (12), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:024", "request": "Here are some words in Alabama and their English translations in arbitrary order:\n\n1. achánnàaka\n2. achanni\n3. ahamatli\n4. ahámmatka\n5. apòotka\n6. apotòoli\n7. apóttòoka\n8. atanayli\n9. atánnayka\n10. atanni\n11. bàalka\n12. balàali\n13. balli\n14. incháffàaka\n15. kawaɬɬi\n16. ɬìilka\n17. ɬìipka\n18. ɬilaffi\n19. ɬipli\n20. ɬíppìika\n21. ɬobaffi\n22. ɬómbafka\n23. ɬombi\n24. ɬòomka\n25. sibapli\n26. simbi\n\nA. he breaks it in two\nB. he lays them down\nC. he wraps them\nD. he puts it next to something\nE. he turns them upside down\nF. it is torn in several places, they are torn\nG. it leans against something\nH. they are turned upside down\nI. it is next to something\nJ. it has holes, they have holes\nK. it is wrapped\nL. they lie, are lying down\nM. it is scattered, they are scattered\nN. he leans them against something\nO. he makes holes\nP. he makes a hole\nQ. it is turned upside down\nR. he scatters it, he scatters them\nS. they are next to something\nT. he tears it in two\nU. he has one\nV. he lays it down\nW. it has a hole\nX. he peels the bark off\nY. he peels a strip off\nZ. he wraps it\n\nTranslate into Alabama:\nhe turns it upside down\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:027", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into Rikbaktsa:\nwe will fall\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:030", "request": "The following are words of the Micmac language written in the so-called Listuguj orthography, their phonetic transcriptions and English translations:\n\n1. tmi’gn | [dəmīgən] | axe\n2. an’stawteg | [anəstawtek] | unsafe\n3. gjiansale’wit | [əkciansalēwit] | archangel\n4. mgumie’jo’tlatl | [əmkumiējōdəladəl] | to shoe (a horse)\n5. amqwanji’j | [amxʷancīc] | spoon\n6. e’jnt | [ējənt] | Indian agent\n7. tplutaqan | [ətpəludaɣan] | law\n8. ge’gwising | [gēgʷisink] | to lie on the top\n9. lnu’sgw | [lənūskw] | Indian woman\n10. g’p’ta’q | [gəbədāx] | above, overhead\n11. epsaqtejg | [epsaxteck] | stove\n\nWrite in the Listuguj orthography:\n[gəlamen] | so, therefore\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:034", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into English:\naharapyryk\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:045", "request": "Given are words of two dialects of the Romansh language and their English translations. Some cells have been left blank:\n\nSursilvan | Engadine | \ntut | tuot | all\nura | ura | time\n(1) | uolm | elm\nstumi | (2) | stomach\ndunna | duonna | woman\nnum | nom | name\nnums | noms | names\n(3) | cuort | short\nmund | (4) | world\ninsumma | insomma | finally\nnumer | nomer | number\nfuorcla | (5) | mountain pass\n(6) | plomba | tooth filling\n(7) | muossar | to show\nbuglia | buoglia | mash, pulp\ndiscuors | discuors | conversation\npuolpa | puolpa | dried meat\nangul | angul | angle\nfuorma | fuorma | form\nflur | flur | flower\nculant | (8) | generous\n\nFill in the masked element indicated with (7), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:046", "request": "Given are pairs of cognate words of two closely related languages — Turkish and Tatar. Some words have been left out:\n\nTurkish | Tatar | translation\nbandır | mandır | dip!\nyelken | cilkän | sail\nonuncu | unınçı | tenth\nbaytar | baytar | vet\nyiğirmi | yegerme | twenty\nbencil | minçel | selfish\ngüreş | köräş | wrestling\nişlesem | eşläsäm | if I work\nbüyük | böyek | great\nyıldırım | yıldırım | lightning\nbunda | monda | in this, here\nyetiştir | citeşter | convey!\ngöğer | kügär | become blue!\nbozacı | buzaçı | boza handler\ngerekli | kiräkle | necessary\nboyun | muyın | neck\nuzun | ozın | long\nyöneliş | yünäleş | direction\n(1) | osta | master\n(2) | küzänäk | pore\n(3) | yılan | snake\nyedişer | (4) | seven each\nbilezik | (5) | bracelet\nüstünde | (6) | on top of\nbin | (7) | mount!\nyumru | (8) | lump, swelling\n\nFill in the masked element indicated with (1), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:051", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into Rikbaktsa:\nhe will wait for them\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:052", "request": "Recent contact with Western civilization has brought some changes into the Iatmül language. New words and expressions have emerged and some existing ones have developed new meanings. Here are some words and word combinations in Iatmül and their English translations in arbitrary order:\n\n1. guna vaala\n2. ka’ik\n3. ka’ikgu\n4. klawun\n5. laavu\n6. laavuga vi’\n7. laavuga\n8. ni’bu\n9. ni’buna vaala\n10. nyaka’ik\n11. vi\n12. vi’wun\n13. walini’bana bâk\n14. walini’bana gu\n15. walini’bana vi\n\na. banana\nb. cow\nc. canoe\nd. book\ne. carbonated beverage, alcohol\nf. rifle\ng. picture, shadow\nh. car\ni. I got\nj. mirror\nk. I saw\nl. watch (timepiece)\nm. spear\nn. to read\no. ground, land\n\nTranslate into English:\nvaala; \n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:056", "request": "The following are sentences in Nahuatl and their English translations:\n\n1. nimitztlazohtla | I love you\n2. tikmaka in āmoxtli | you give the book to him\n3. nitlahtoa | I say something\n4. kātlītia in kuauhxīnki in pochtekatl | the merchant makes the carpenter drink; the carpenter makes the merchant drink\n5. titzāhtzi | you shout\n6. niki in ātōlli | I drink the atole\n7. tikuīka | you sing\n8. tinēchtlakāhuilia | you leave something for me\n9. kochi in tīzītl | the healer sleeps\n10. niknekiltia in kuauhxīnki in āmoxtli | I make the carpenter want the book\n11. mitztēhuītekilia | he beats you for somebody; he beats somebody for you\n12. kēhua in kikatl | sings the song\n13. niktlalhuia in zihuātl | I say something to the woman\n14. tiktēkāhualtia in oktli | you make somebody leave the wine\n15. ātli | he drinks\n16. tlachīhua in pochtekatl | the merchant prepares something\n17. tēhuetzītia in zihuātl | the woman makes somebody fall\n\nTranslate into Nahuatl:\nhe makes me prepare the atole\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:061", "request": "Given are words of two dialects of the Romansh language and their English translations. Some cells have been left blank:\n\nSursilvan | Engadine | \ntut | tuot | all\nura | ura | time\n(1) | uolm | elm\nstumi | (2) | stomach\ndunna | duonna | woman\nnum | nom | name\nnums | noms | names\n(3) | cuort | short\nmund | (4) | world\ninsumma | insomma | finally\nnumer | nomer | number\nfuorcla | (5) | mountain pass\n(6) | plomba | tooth filling\n(7) | muossar | to show\nbuglia | buoglia | mash, pulp\ndiscuors | discuors | conversation\npuolpa | puolpa | dried meat\nangul | angul | angle\nfuorma | fuorma | form\nflur | flur | flower\nculant | (8) | generous\n\nFill in the masked element indicated with (5), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:063", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (8), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:065", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (3), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:067", "request": "Here are some words and word combinations in Rotuman as well as their English translations:\n\n‘el‘ele | shallow\n‘ele | to be near\n‘olo | to cut\na‘öf fau | year’s end\nfäeag ‘u‘u | to use sign language\nfau | year\nhạfhạfu | rocky\nhuag ‘el‘ele | impatient\nhuag to‘a | courageous\nhül hạfu | to blow (of a hurricane)\nhün kia | base of the neck\nhuli to | turn over\nhuni | lower end\nis ‘ā | sharp-pointed\nis susu | nipple\nlala | deep\nmaf tiro | spectacles\nmamasa | solid\nmạtiti | coldness\nmạtit mamasa | ice\nmoafmofa | littered with rubbish\nniu | copra\nnu‘suar tiro | window\nnu‘sura | door\npala | pierce\npiri | to curl\npoagpoga, palpala | covered with holes\npogi | night\npuhrạ ki | to boil, to bubble up\npulu | glue\nkạlu | bracelet, to encircle\nriamrima | shiny\nrū huga | stomach-ache\nto‘a | hero\n\nTranslate into English:\nmaf pala\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:070", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (1), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:072", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into Rikbaktsa:\nI will wait for them\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:076", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (2), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:080", "request": "Here are some verb forms in Plains Cree and their English translations:\n\n1. nimawinēskomik | he challenges me\n2. kiwāpamināwāw | you_{pl} see me\n3. kinakininān | you_{sg} stop us, you_{pl} stop us\n4. nikakwēcimānānak | we ask them\n5. kiwīcihāw | you_{sg} help him\n6. nikakwēcimānān | we ask him\n7. niwāpamāw | I see him\n8. kimawinēskomin | you{sg} challenge me\n9. nimawinēskomikonānak | they challenge us\n10. kikakwēcimik | he asks you_{sg}\n11. kiwāpamitinān | we see you_{sg}, we see you_{pl}\n12. ninakināwak | I stop them\n13. kiwīcihikowāw | he helps you_{pl}\n14. kinakinikwak | they stop you_{sg}\n15. kiwāpamāwāwak | you_{pl} see them\n16. kiwīcihitin | I help you_{sg}\n\nHere are some more verb forms in Plains Cree and their English translations:\n\n17. ē-nakināyēk | as you_{pl} stop him\n18. ē-wīcihak | as I help him\n19. mawinēskomikoyāhkwāwi | if they challenge us\n20. wāpamaci | if you_{sg} see him\n21. wīcihitako | if I help you_{pl}\n\nTranslate into Plains Cree:\nthey help me\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:083", "request": "Here are some words in Alabama and their English translations in arbitrary order:\n\n1. achánnàaka\n2. achanni\n3. ahamatli\n4. ahámmatka\n5. apòotka\n6. apotòoli\n7. apóttòoka\n8. atanayli\n9. atánnayka\n10. atanni\n11. bàalka\n12. balàali\n13. balli\n14. incháffàaka\n15. kawaɬɬi\n16. ɬìilka\n17. ɬìipka\n18. ɬilaffi\n19. ɬipli\n20. ɬíppìika\n21. ɬobaffi\n22. ɬómbafka\n23. ɬombi\n24. ɬòomka\n25. sibapli\n26. simbi\n\nA. he breaks it in two\nB. he lays them down\nC. he wraps them\nD. he puts it next to something\nE. he turns them upside down\nF. it is torn in several places, they are torn\nG. it leans against something\nH. they are turned upside down\nI. it is next to something\nJ. it has holes, they have holes\nK. it is wrapped\nL. they lie, are lying down\nM. it is scattered, they are scattered\nN. he leans them against something\nO. he makes holes\nP. he makes a hole\nQ. it is turned upside down\nR. he scatters it, he scatters them\nS. they are next to something\nT. he tears it in two\nU. he has one\nV. he lays it down\nW. it has a hole\nX. he peels the bark off\nY. he peels a strip off\nZ. he wraps it\n\nTranslate into Alabama:\nhe tears it in several places\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:086", "request": "Given are Drehu numerals in alphabetical order and their values in ascending order:\n\ncaatr nge caako, caatr nge caangömen, caatr nge caaqaihano, ekaatr nge ekengömen, köniatr nge köniko, köniatr nge könipi, köniatr nge köniqaihano, lueatr nge lue, lueatr nge luako, lueatr nge luepi\n\n26, 31, 36, 42, 50, 52, 73, 75, 78, 89\n\nWrite out in Drehu: 21.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:088", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into Rikbaktsa:\nyou_{sg} bit us\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:092", "request": "The following are words of the Micmac language written in the so-called Listuguj orthography, their phonetic transcriptions and English translations:\n\n1. tmi’gn | [dəmīgən] | axe\n2. an’stawteg | [anəstawtek] | unsafe\n3. gjiansale’wit | [əkciansalēwit] | archangel\n4. mgumie’jo’tlatl | [əmkumiējōdəladəl] | to shoe (a horse)\n5. amqwanji’j | [amxʷancīc] | spoon\n6. e’jnt | [ējənt] | Indian agent\n7. tplutaqan | [ətpəludaɣan] | law\n8. ge’gwising | [gēgʷisink] | to lie on the top\n9. lnu’sgw | [lənūskw] | Indian woman\n10. g’p’ta’q | [gəbədāx] | above, overhead\n11. epsaqtejg | [epsaxteck] | stove\n\nTranscribe the following words:\nemtoqwatg | to worship\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:093", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into English:\nikwak\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:094", "request": "Here are some words and word combinations in Rotuman as well as their English translations:\n\n‘el‘ele | shallow\n‘ele | to be near\n‘olo | to cut\na‘öf fau | year’s end\nfäeag ‘u‘u | to use sign language\nfau | year\nhạfhạfu | rocky\nhuag ‘el‘ele | impatient\nhuag to‘a | courageous\nhül hạfu | to blow (of a hurricane)\nhün kia | base of the neck\nhuli to | turn over\nhuni | lower end\nis ‘ā | sharp-pointed\nis susu | nipple\nlala | deep\nmaf tiro | spectacles\nmamasa | solid\nmạtiti | coldness\nmạtit mamasa | ice\nmoafmofa | littered with rubbish\nniu | copra\nnu‘suar tiro | window\nnu‘sura | door\npala | pierce\npiri | to curl\npoagpoga, palpala | covered with holes\npogi | night\npuhrạ ki | to boil, to bubble up\npulu | glue\nkạlu | bracelet, to encircle\nriamrima | shiny\nrū huga | stomach-ache\nto‘a | hero\n\nTranslate into English:\ntiro\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:095", "request": "Given are pairs of cognate words of two closely related languages — Turkish and Tatar. Some words have been left out:\n\nTurkish | Tatar | translation\nbandır | mandır | dip!\nyelken | cilkän | sail\nonuncu | unınçı | tenth\nbaytar | baytar | vet\nyiğirmi | yegerme | twenty\nbencil | minçel | selfish\ngüreş | köräş | wrestling\nişlesem | eşläsäm | if I work\nbüyük | böyek | great\nyıldırım | yıldırım | lightning\nbunda | monda | in this, here\nyetiştir | citeşter | convey!\ngöğer | kügär | become blue!\nbozacı | buzaçı | boza handler\ngerekli | kiräkle | necessary\nboyun | muyın | neck\nuzun | ozın | long\nyöneliş | yünäleş | direction\n(1) | osta | master\n(2) | küzänäk | pore\n(3) | yılan | snake\nyedişer | (4) | seven each\nbilezik | (5) | bracelet\nüstünde | (6) | on top of\nbin | (7) | mount!\nyumru | (8) | lump, swelling\n\nFill in the masked element indicated with (4), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:096", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (4), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:097", "request": "Below you see phrases in the Yoruba language (in phonetic transcription) and their literal English translations:\n\n1. [aɟɔ ɔkɔ] | the husband's dog\n2. [ìlé elu] | the stranger's city\n3. [igi ìyá] | the mother's tree\n4. [ɔka àɟɛ́] | the witch's husband\n5. [ìfó owó] | the love of money\n6. [ɛ̀bó orí] | the vicinity of the head (i.e., near the head)\n7. [ìyá alé] | the house's mother (i.e., mistress of the house, elder wife)\n8. [àɟɛ́ ɛ̀lú] | the city's witch (i.e., the city witch)\n9. [àké egi] | the axe of the tree (i.e., a wooden axe)\n10. [owó olé] | the money of the house (i.e., rent)\n11. [ìlú ùfɛ́] | the city of love\n12. [orá aɟá] | the dog's head\n13. [igɔ ɔkɔ] | the husband's tree\n\nTranslate into Yoruba:\nthe husband's axe\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:102", "request": "Recent contact with Western civilization has brought some changes into the Iatmül language. New words and expressions have emerged and some existing ones have developed new meanings. Here are some words and word combinations in Iatmül and their English translations in arbitrary order:\n\n1. guna vaala\n2. ka’ik\n3. ka’ikgu\n4. klawun\n5. laavu\n6. laavuga vi’\n7. laavuga\n8. ni’bu\n9. ni’buna vaala\n10. nyaka’ik\n11. vi\n12. vi’wun\n13. walini’bana bâk\n14. walini’bana gu\n15. walini’bana vi\n\na. banana\nb. cow\nc. canoe\nd. book\ne. carbonated beverage, alcohol\nf. rifle\ng. picture, shadow\nh. car\ni. I got\nj. mirror\nk. I saw\nl. watch (timepiece)\nm. spear\nn. to read\no. ground, land\n\nTranslate into English:\nvi’\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:112", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (10), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:113", "request": "Here are some numerals in Supyire and their values:\n\nbaashuunni | 7\nbeɲjaaga na niŋkin | 21\nŋkwuu taanre na beeshuunni na kaŋkuro | 285\nkampwoo na ŋkwuu shuunni na beetaanre na baani | 626\nkampwɔhii sicyɛɛre na beɲjaaga na kɛ na baaricyɛɛre | 1639\n\nWrite out in the Supyire language: 403.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:114", "request": "Here are some words and word combinations in Rotuman as well as their English translations:\n\n‘el‘ele | shallow\n‘ele | to be near\n‘olo | to cut\na‘öf fau | year’s end\nfäeag ‘u‘u | to use sign language\nfau | year\nhạfhạfu | rocky\nhuag ‘el‘ele | impatient\nhuag to‘a | courageous\nhül hạfu | to blow (of a hurricane)\nhün kia | base of the neck\nhuli to | turn over\nhuni | lower end\nis ‘ā | sharp-pointed\nis susu | nipple\nlala | deep\nmaf tiro | spectacles\nmamasa | solid\nmạtiti | coldness\nmạtit mamasa | ice\nmoafmofa | littered with rubbish\nniu | copra\nnu‘suar tiro | window\nnu‘sura | door\npala | pierce\npiri | to curl\npoagpoga, palpala | covered with holes\npogi | night\npuhrạ ki | to boil, to bubble up\npulu | glue\nkạlu | bracelet, to encircle\nriamrima | shiny\nrū huga | stomach-ache\nto‘a | hero\n\nTranslate into English:\nmaf pogi\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:115", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into English:\nziksi\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:118", "request": "The following are words of the Micmac language written in the so-called Listuguj orthography, their phonetic transcriptions and English translations:\n\n1. tmi’gn | [dəmīgən] | axe\n2. an’stawteg | [anəstawtek] | unsafe\n3. gjiansale’wit | [əkciansalēwit] | archangel\n4. mgumie’jo’tlatl | [əmkumiējōdəladəl] | to shoe (a horse)\n5. amqwanji’j | [amxʷancīc] | spoon\n6. e’jnt | [ējənt] | Indian agent\n7. tplutaqan | [ətpəludaɣan] | law\n8. ge’gwising | [gēgʷisink] | to lie on the top\n9. lnu’sgw | [lənūskw] | Indian woman\n10. g’p’ta’q | [gəbədāx] | above, overhead\n11. epsaqtejg | [epsaxteck] | stove\n\nTranscribe the following words:\ngmu’jmin | raspberry\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:124", "request": "The following are sentences in Nahuatl and their English translations:\n\n1. nimitztlazohtla | I love you\n2. tikmaka in āmoxtli | you give the book to him\n3. nitlahtoa | I say something\n4. kātlītia in kuauhxīnki in pochtekatl | the merchant makes the carpenter drink; the carpenter makes the merchant drink\n5. titzāhtzi | you shout\n6. niki in ātōlli | I drink the atole\n7. tikuīka | you sing\n8. tinēchtlakāhuilia | you leave something for me\n9. kochi in tīzītl | the healer sleeps\n10. niknekiltia in kuauhxīnki in āmoxtli | I make the carpenter want the book\n11. mitztēhuītekilia | he beats you for somebody; he beats somebody for you\n12. kēhua in kikatl | sings the song\n13. niktlalhuia in zihuātl | I say something to the woman\n14. tiktēkāhualtia in oktli | you make somebody leave the wine\n15. ātli | he drinks\n16. tlachīhua in pochtekatl | the merchant prepares something\n17. tēhuetzītia in zihuātl | the woman makes somebody fall\n\nTranslate into Nahuatl:\nI fall\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:130", "request": "Here are some words and word combinations in Rotuman as well as their English translations:\n\n‘el‘ele | shallow\n‘ele | to be near\n‘olo | to cut\na‘öf fau | year’s end\nfäeag ‘u‘u | to use sign language\nfau | year\nhạfhạfu | rocky\nhuag ‘el‘ele | impatient\nhuag to‘a | courageous\nhül hạfu | to blow (of a hurricane)\nhün kia | base of the neck\nhuli to | turn over\nhuni | lower end\nis ‘ā | sharp-pointed\nis susu | nipple\nlala | deep\nmaf tiro | spectacles\nmamasa | solid\nmạtiti | coldness\nmạtit mamasa | ice\nmoafmofa | littered with rubbish\nniu | copra\nnu‘suar tiro | window\nnu‘sura | door\npala | pierce\npiri | to curl\npoagpoga, palpala | covered with holes\npogi | night\npuhrạ ki | to boil, to bubble up\npulu | glue\nkạlu | bracelet, to encircle\nriamrima | shiny\nrū huga | stomach-ache\nto‘a | hero\n\nTranslate into Rotuman:\nround\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:132", "request": "Below you see phrases in the Yoruba language (in phonetic transcription) and their literal English translations:\n\n1. [aɟɔ ɔkɔ] | the husband's dog\n2. [ìlé elu] | the stranger's city\n3. [igi ìyá] | the mother's tree\n4. [ɔka àɟɛ́] | the witch's husband\n5. [ìfó owó] | the love of money\n6. [ɛ̀bó orí] | the vicinity of the head (i.e., near the head)\n7. [ìyá alé] | the house's mother (i.e., mistress of the house, elder wife)\n8. [àɟɛ́ ɛ̀lú] | the city's witch (i.e., the city witch)\n9. [àké egi] | the axe of the tree (i.e., a wooden axe)\n10. [owó olé] | the money of the house (i.e., rent)\n11. [ìlú ùfɛ́] | the city of love\n12. [orá aɟá] | the dog's head\n13. [igɔ ɔkɔ] | the husband's tree\n\nTranslate into Yoruba:\nthe head of the tree (i.e., the top of the tree)\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:133", "request": "Here are some verb forms in Plains Cree and their English translations:\n\n1. nimawinēskomik | he challenges me\n2. kiwāpamināwāw | you_{pl} see me\n3. kinakininān | you_{sg} stop us, you_{pl} stop us\n4. nikakwēcimānānak | we ask them\n5. kiwīcihāw | you_{sg} help him\n6. nikakwēcimānān | we ask him\n7. niwāpamāw | I see him\n8. kimawinēskomin | you{sg} challenge me\n9. nimawinēskomikonānak | they challenge us\n10. kikakwēcimik | he asks you_{sg}\n11. kiwāpamitinān | we see you_{sg}, we see you_{pl}\n12. ninakināwak | I stop them\n13. kiwīcihikowāw | he helps you_{pl}\n14. kinakinikwak | they stop you_{sg}\n15. kiwāpamāwāwak | you_{pl} see them\n16. kiwīcihitin | I help you_{sg}\n\nHere are some more verb forms in Plains Cree and their English translations:\n\n17. ē-nakināyēk | as you_{pl} stop him\n18. ē-wīcihak | as I help him\n19. mawinēskomikoyāhkwāwi | if they challenge us\n20. wāpamaci | if you_{sg} see him\n21. wīcihitako | if I help you_{pl}\n\nTranslate into Plains Cree:\nthey challenge you_{pl}\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:138", "request": "The following are words of the Micmac language written in the so-called Listuguj orthography, their phonetic transcriptions and English translations:\n\n1. tmi’gn | [dəmīgən] | axe\n2. an’stawteg | [anəstawtek] | unsafe\n3. gjiansale’wit | [əkciansalēwit] | archangel\n4. mgumie’jo’tlatl | [əmkumiējōdəladəl] | to shoe (a horse)\n5. amqwanji’j | [amxʷancīc] | spoon\n6. e’jnt | [ējənt] | Indian agent\n7. tplutaqan | [ətpəludaɣan] | law\n8. ge’gwising | [gēgʷisink] | to lie on the top\n9. lnu’sgw | [lənūskw] | Indian woman\n10. g’p’ta’q | [gəbədāx] | above, overhead\n11. epsaqtejg | [epsaxteck] | stove\n\nWrite in the Listuguj orthography:\n[əmteskəm] | snake\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:143", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into English:\nuru\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:144", "request": "Given are pairs of cognate words of two closely related languages — Turkish and Tatar. Some words have been left out:\n\nTurkish | Tatar | translation\nbandır | mandır | dip!\nyelken | cilkän | sail\nonuncu | unınçı | tenth\nbaytar | baytar | vet\nyiğirmi | yegerme | twenty\nbencil | minçel | selfish\ngüreş | köräş | wrestling\nişlesem | eşläsäm | if I work\nbüyük | böyek | great\nyıldırım | yıldırım | lightning\nbunda | monda | in this, here\nyetiştir | citeşter | convey!\ngöğer | kügär | become blue!\nbozacı | buzaçı | boza handler\ngerekli | kiräkle | necessary\nboyun | muyın | neck\nuzun | ozın | long\nyöneliş | yünäleş | direction\n(1) | osta | master\n(2) | küzänäk | pore\n(3) | yılan | snake\nyedişer | (4) | seven each\nbilezik | (5) | bracelet\nüstünde | (6) | on top of\nbin | (7) | mount!\nyumru | (8) | lump, swelling\n\nFill in the masked element indicated with (5), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:145", "request": "Here are some verb forms in Plains Cree and their English translations:\n\n1. nimawinēskomik | he challenges me\n2. kiwāpamināwāw | you_{pl} see me\n3. kinakininān | you_{sg} stop us, you_{pl} stop us\n4. nikakwēcimānānak | we ask them\n5. kiwīcihāw | you_{sg} help him\n6. nikakwēcimānān | we ask him\n7. niwāpamāw | I see him\n8. kimawinēskomin | you{sg} challenge me\n9. nimawinēskomikonānak | they challenge us\n10. kikakwēcimik | he asks you_{sg}\n11. kiwāpamitinān | we see you_{sg}, we see you_{pl}\n12. ninakināwak | I stop them\n13. kiwīcihikowāw | he helps you_{pl}\n14. kinakinikwak | they stop you_{sg}\n15. kiwāpamāwāwak | you_{pl} see them\n16. kiwīcihitin | I help you_{sg}\n\nHere are some more verb forms in Plains Cree and their English translations:\n\n17. ē-nakināyēk | as you_{pl} stop him\n18. ē-wīcihak | as I help him\n19. mawinēskomikoyāhkwāwi | if they challenge us\n20. wāpamaci | if you_{sg} see him\n21. wīcihitako | if I help you_{pl}\n\nTranslate into Plains Cree:\nI stop you_{pl}\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:147", "request": "Given are verb forms of the Menominee language as well as their English translations:\n\nkewǣpeqtaq | we begin\nkawāham | he fells it by tool\nnepītohnæm | I walk here (to this place)\nkēskenam | he breaks it through by hand\npahkǣsam | he cuts it off\nkekǣtohnæq | we walk out\npītenam | he passes it here\nkewǣpānæhkæq | we begin to dig\ntawǣsam | he cuts a hole in it\nnekǣtahan | I pry it out by tool\npāhkaham | he opens it by tool (by raising a lid or opening a door)\nkekēskahtæq | we bite it through\nwackōhnæw | he walks roundabout, by a detour\nnewāckesan | I cut around it\nketǣnam | he takes it out by hand\nketāwahtæq | we bite, gnaw a hole in it\nwǣpohnæw | he begins walking\nnekāweqtam | I lie down\npāhkeqtaw | e opens up\nkepītahtæq | we come eating it; we bring it in our mouths\nnekāwāhpem | I fall over laughing\n\nTranslate into Menominee:\nI begin to eat it\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:148", "request": "Below you see sentences in the Tzotzil language (in the dialect of San Lorenzo Zinacantán) and their English translations:\n1. 'Oy 'ox 'ixim ta ana nax. | You had corn at home today.\n2. Bu 'oy 'ox li Romin e 'ok'ob? | Where will Domingo be tomorrow?\n3. Ch'abal 'ox chenek' ta jp'in po'ot. | Soon there will be no haricots in my pot.\n4. Mi 'oy 'ox k'in ta Jobel 'ok'ob? | Will there be a party in San Cristobal tomorrow?\n5. 'Oy chan-vun ta batz'i k'op ta Jobel. | There is a Tzotzil school in San Cristobal.\n6. Mi 'oy sbatz'i chi'il li Xun e? | Does Juan have a real friend?\n7. Muk' bu li Xunka e. | Juana is nowhere.\n8. \"Oy 'ox jlekil na po'ot. | I will soon have a good house.\n9. Mi 'oy 'ox chan-vun ta Jobel junabi? | Was there a school in San Cristobal last year?\n10. Mi 'oy \"ixim ta p'in lavie? | Is there corn in his pot?\n11. Ch'abal schenek' lavie. | He has no haricots today.\n12. 'Oy 'ox lekil vob ta k'in lavie. | There will be good music at the party today.\n13. K'usi 'oy \"ox ta achan-vun volje? | What did you have at school yesterday?\n14. Bu 'oy 'ox k'op nax? | Where was the talk today?\n15. Ch'abal 'ox schi'il li Romin e junabi. | Last year Domingo had no friend.\n\nTranslate into Tzotzil:\nYou have a real house.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:151", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into Rikbaktsa:\nI will hug you_{pl}\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:161", "request": "Here are some words and word combinations in Rotuman as well as their English translations:\n\n‘el‘ele | shallow\n‘ele | to be near\n‘olo | to cut\na‘öf fau | year’s end\nfäeag ‘u‘u | to use sign language\nfau | year\nhạfhạfu | rocky\nhuag ‘el‘ele | impatient\nhuag to‘a | courageous\nhül hạfu | to blow (of a hurricane)\nhün kia | base of the neck\nhuli to | turn over\nhuni | lower end\nis ‘ā | sharp-pointed\nis susu | nipple\nlala | deep\nmaf tiro | spectacles\nmamasa | solid\nmạtiti | coldness\nmạtit mamasa | ice\nmoafmofa | littered with rubbish\nniu | copra\nnu‘suar tiro | window\nnu‘sura | door\npala | pierce\npiri | to curl\npoagpoga, palpala | covered with holes\npogi | night\npuhrạ ki | to boil, to bubble up\npulu | glue\nkạlu | bracelet, to encircle\nriamrima | shiny\nrū huga | stomach-ache\nto‘a | hero\n\nTranslate into Rotuman:\nsticky\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:164", "request": "Here are some words in Rikbaktsa and their English translations:\n\nahapery | I waited for you_{pl}\ntsiksi | you_{sg} left\npuru | I will sleep\npuru | he will sleep\ntsimywak | you_{sg} will hunt\ntsikmoronaha | we bathed\ntsimymoro | you_{sg} will bathe\nmyzomo | I will arrive\nmyzomo | he will arrive\npiboro | I will bite it\npiboro | he will bite it\nnimoro | he bathed\ntsipaperynaha | we will wait for you_{sg}\nnimypery | he waited for us\ntsipikharapyryk | you_{sg} will hug me\nnisiboro | he bit them\ntsipurunaha | we will sleep\niknaraha | I fell\npiksi | I will leave\npiksi | he will leave\nzahaboro | he bit you_{pl}\nmywak | I will hunt\nmywak | he will hunt\ntsibeze | you_{sg} killed it\nzuru | he slept\ntsikzomo | you_{sg} arrived\npiwy | I will cut it up\npiwy | he will cut it up\npikbeze | he will kill me\ntsimykarinaha | we will dance\n\nTranslate into Rikbaktsa:\nyou_{sg} will leave\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:167", "request": "Given are words of two dialects of the Romansh language and their English translations. Some cells have been left blank:\n\nSursilvan | Engadine | \ntut | tuot | all\nura | ura | time\n(1) | uolm | elm\nstumi | (2) | stomach\ndunna | duonna | woman\nnum | nom | name\nnums | noms | names\n(3) | cuort | short\nmund | (4) | world\ninsumma | insomma | finally\nnumer | nomer | number\nfuorcla | (5) | mountain pass\n(6) | plomba | tooth filling\n(7) | muossar | to show\nbuglia | buoglia | mash, pulp\ndiscuors | discuors | conversation\npuolpa | puolpa | dried meat\nangul | angul | angle\nfuorma | fuorma | form\nflur | flur | flower\nculant | (8) | generous\n\nFill in the masked element indicated with (6), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:174", "request": "Here are some verb forms in Plains Cree and their English translations:\n\n1. nimawinēskomik | he challenges me\n2. kiwāpamināwāw | you_{pl} see me\n3. kinakininān | you_{sg} stop us, you_{pl} stop us\n4. nikakwēcimānānak | we ask them\n5. kiwīcihāw | you_{sg} help him\n6. nikakwēcimānān | we ask him\n7. niwāpamāw | I see him\n8. kimawinēskomin | you{sg} challenge me\n9. nimawinēskomikonānak | they challenge us\n10. kikakwēcimik | he asks you_{sg}\n11. kiwāpamitinān | we see you_{sg}, we see you_{pl}\n12. ninakināwak | I stop them\n13. kiwīcihikowāw | he helps you_{pl}\n14. kinakinikwak | they stop you_{sg}\n15. kiwāpamāwāwak | you_{pl} see them\n16. kiwīcihitin | I help you_{sg}\n\nHere are some more verb forms in Plains Cree and their English translations:\n\n17. ē-nakināyēk | as you_{pl} stop him\n18. ē-wīcihak | as I help him\n19. mawinēskomikoyāhkwāwi | if they challenge us\n20. wāpamaci | if you_{sg} see him\n21. wīcihitako | if I help you_{pl}\n\nTranslate into Plains Cree:\nyou_{sg} see them\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:175", "request": "The following are words of the Micmac language written in the so-called Listuguj orthography, their phonetic transcriptions and English translations:\n\n1. tmi’gn | [dəmīgən] | axe\n2. an’stawteg | [anəstawtek] | unsafe\n3. gjiansale’wit | [əkciansalēwit] | archangel\n4. mgumie’jo’tlatl | [əmkumiējōdəladəl] | to shoe (a horse)\n5. amqwanji’j | [amxʷancīc] | spoon\n6. e’jnt | [ējənt] | Indian agent\n7. tplutaqan | [ətpəludaɣan] | law\n8. ge’gwising | [gēgʷisink] | to lie on the top\n9. lnu’sgw | [lənūskw] | Indian woman\n10. g’p’ta’q | [gəbədāx] | above, overhead\n11. epsaqtejg | [epsaxteck] | stove\n\nTranscribe the following words:\ngsnqo’qon | foolishness\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:178", "request": "Given are Drehu numerals in alphabetical order and their values in ascending order:\n\ncaatr nge caako, caatr nge caangömen, caatr nge caaqaihano, ekaatr nge ekengömen, köniatr nge köniko, köniatr nge könipi, köniatr nge köniqaihano, lueatr nge lue, lueatr nge luako, lueatr nge luepi\n\n26, 31, 36, 42, 50, 52, 73, 75, 78, 89\n\nWrite out in Drehu: 48.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:182", "request": "The following are words of the Micmac language written in the so-called Listuguj orthography, their phonetic transcriptions and English translations:\n\n1. tmi’gn | [dəmīgən] | axe\n2. an’stawteg | [anəstawtek] | unsafe\n3. gjiansale’wit | [əkciansalēwit] | archangel\n4. mgumie’jo’tlatl | [əmkumiējōdəladəl] | to shoe (a horse)\n5. amqwanji’j | [amxʷancīc] | spoon\n6. e’jnt | [ējənt] | Indian agent\n7. tplutaqan | [ətpəludaɣan] | law\n8. ge’gwising | [gēgʷisink] | to lie on the top\n9. lnu’sgw | [lənūskw] | Indian woman\n10. g’p’ta’q | [gəbədāx] | above, overhead\n11. epsaqtejg | [epsaxteck] | stove\n\nWrite in the Listuguj orthography:\n[alaptək] | to look around\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:184", "request": "Recent contact with Western civilization has brought some changes into the Iatmül language. New words and expressions have emerged and some existing ones have developed new meanings. Here are some words and word combinations in Iatmül and their English translations in arbitrary order:\n\n 1. guna vaala\n2. ka’ik\n3. ka’ikgu\n4. klawun\n5. laavu\n6. laavuga vi’\n7. laavuga\n8. ni’bu\n9. ni’buna vaala\n10. nyaka’ik\n11. vi\n12. vi’wun\n13. walini’bana bâk\n14. walini’bana gu\n15. walini’bana vi\n\na. banana\nb. cow\nc. canoe\nd. book\ne. carbonated beverage, alcohol\nf. rifle\ng. picture, shadow\nh. car\ni. I got\nj. mirror\nk. I saw\nl. watch (timepiece)\nm. spear\nn. to read\no. ground, land\n\nTranslate into Iatmül:\nwhite people\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:186", "request": "Here are some words in Terêna in two grammatical forms (1st person sg, my … or I … ; 2nd person sg, your_{sg} … or you_{sg} …) and their English translations. Some forms are missing.\n\n1st person sg | 2nd person sg | \nîmam | îme | husband\nmbîho | (1) | to go\nyónom | yéno | to walk\nmbôro | peôro | pants\nndûti | tiûti | head\nâyom | yâyo | brother of a woman\n(2) | pîyo | animal\nyênom | (3) | wife\nmbûyu | piûyu | knee\nnjûpa | xiûpa | manioc\n(4) | yêno | mother\nnênem | nîni | tongue\nmbâho | peâho | mouth\nndâki | teâki | arm\nvô’um | veô’u | hand\nngásaxo | (5) | to feel cold\nnjérere | (6) | side\nmônzi | meôhi | toy\nndôko | (7) | nape\nímbovo | ípevo | clothes\nenjóvi | yexóvi | elder sibling\nnoínjoa | (8) | to see it\nvanénjo | (9) | to buy\nmbepékena | pipíkina | drum\nongóvo | yokóvo | stomach, soul\nrembéno | ripíno | shirt\nnje’éxa | xi’íxa | son/daughter\nivándako | ivétako | to sit\nmbirítauna | piríteuna | knife\nmómindi | (10) | to be tired\nnjovó’i | xevó’i | hat\nngónokoa | kénokoa | to need it\nínzikaxovoku | (11) | school\n(12) | yôxu | grandfather\níningone | ínikene | friend\nvandékena | vetékena | canoe\nóvongu | yóvoku | house\n(13) | nîwo | nephew\nánzarana | (14) | hoe\nnzapátuna | hepátuna | shoe\n\nFill in the masked element indicated with (6), assuming the (1), (2), ... elements are masked out elements.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:196", "request": "Here are some verb forms in Plains Cree and their English translations:\n\n1. nimawinēskomik | he challenges me\n2. kiwāpamināwāw | you_{pl} see me\n3. kinakininān | you_{sg} stop us, you_{pl} stop us\n4. nikakwēcimānānak | we ask them\n5. kiwīcihāw | you_{sg} help him\n6. nikakwēcimānān | we ask him\n7. niwāpamāw | I see him\n8. kimawinēskomin | you{sg} challenge me\n9. nimawinēskomikonānak | they challenge us\n10. kikakwēcimik | he asks you_{sg}\n11. kiwāpamitinān | we see you_{sg}, we see you_{pl}\n12. ninakināwak | I stop them\n13. kiwīcihikowāw | he helps you_{pl}\n14. kinakinikwak | they stop you_{sg}\n15. kiwāpamāwāwak | you_{pl} see them\n16. kiwīcihitin | I help you_{sg}\n\nHere are some more verb forms in Plains Cree and their English translations:\n\n17. ē-nakināyēk | as you_{pl} stop him\n18. ē-wīcihak | as I help him\n19. mawinēskomikoyāhkwāwi | if they challenge us\n20. wāpamaci | if you_{sg} see him\n21. wīcihitako | if I help you_{pl}\n\nTranslate into Plains Cree:\nif we ask them\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:linguini:197", "request": "Here are some sentences in Nǀuuki and their English translations:\n\n1. ǂoo ŋǀii ŋ | Does the man see me?\n2. ɡǀa ǃaukea ŋ ŋǀŋ | Are you_{sg} afraid of me?\n3. cuu xae a ǂʔii ŋǁa | Whom do you_{sg} think about?\n4. u ǁãu ke ǁu ǀqhõʕo | Your_{pl} brother does not dance.\n5. ɟanasa xae ǂqheeke | Is it the thief who sings?\n6. ŋǀŋ si sĩisen ŋ ǃhaeke | Will I work tomorrow?\n7. ǂhun ke ǃaukea ŋ ɡǀi | The dog is afraid of us.\n8. na ǁu ǂʔii ŋ ɡǀa xaŋki | I do not think about your_{sg} mother.\n9. ɡǀi aŋki si ǀqhõʕo ŋ ɡǃari | Will our father dance in Upington?\n10. kiɟa xae ǂoo sĩisen ŋǁa | Where does the man work?\n11. ɡǀa ŋǀii a ŋǁŋ | Do you_{sg} see your_{sg} house?\n12. ŋǀŋ xae a ǃʔai | Is it me whom you_{sg} call?\n13. u kee ǀeeki ǂʔii ŋǁa | It is you_{pl} whom the woman thinks about.\n14. a xaŋki ke kacuuʔi ŋ ɡǀa ts’aaʔa ŋ | Your_{sg} mother asks if you_{sg} like me.\n15. kama ɟa xae ŋ si ŋǀii u ŋǁa | When will I see you_{pl}?\n16. ŋ ǃuu ke kacuuʔi ŋ ŋǀŋ si ǂqheeke ŋ ǃhaeke | My grandfather asks if I will sing tomorrow.\n\nTranslate into Nǀuuki:\nDo you_{pl} see us?\nabout.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:002", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Guilty of Romance, Forrest Gump, All the Real Girls, Orlando, The Silence of the Lambs\n(B) Tombstone, Braveheart, Orlando, The Silence of the Lambs, Forrest Gump\n(C) Tombstone, Schindler's List, Braveheart, The Silence of the Lambs, Forrest Gump\n(D) Orlando, Tombstone, All the Real Girls, Forrest Gump, Guilty of Romance\n(E) Forrest Gump, Guilty of Romance, Schindler's List, Tombstone, Orlando\n(F) Orlando, Tombstone, All the Real Girls, Guilty of Romance, Schindler's List\n(G) Braveheart, Orlando, Forrest Gump, Schindler's List, Tombstone\n(H) All the Real Girls, Forrest Gump, Guilty of Romance, The Silence of the Lambs, Braveheart\n(I) Braveheart, Tombstone, Guilty of Romance, All the Real Girls, Schindler's List\n(J) Guilty of Romance, Schindler's List, Orlando, Braveheart, Forrest Gump\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:005", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Inception, Raiders of the Lost Ark, Forrest Gump, The Chorus, Beyond the Poseidon Adventure\n(B) Raiders of the Lost Ark, The Shawshank Redemption, Pulp Fiction, Inception, Beyond the Poseidon Adventure\n(C) Raiders of the Lost Ark, Inception, Beyond the Poseidon Adventure, The Shawshank Redemption, The Chorus\n(D) Inception, The Shawshank Redemption, Pulp Fiction, Raiders of the Lost Ark, Forrest Gump\n(E) Forrest Gump, Beyond the Poseidon Adventure, The Chorus, The Shawshank Redemption, Scouts Guide to the Zombie Apocalypse\n(F) The Chorus, Raiders of the Lost Ark, Inception, The Shawshank Redemption, Forrest Gump\n(G) The Chorus, Beyond the Poseidon Adventure, Pulp Fiction, The Shawshank Redemption, Scouts Guide to the Zombie Apocalypse\n(H) The Chorus, Pulp Fiction, Inception, Forrest Gump, Beyond the Poseidon Adventure\n(I) Inception, Pulp Fiction, Scouts Guide to the Zombie Apocalypse, Raiders of the Lost Ark, The Chorus\n(J) The Shawshank Redemption, The Chorus, Scouts Guide to the Zombie Apocalypse, Beyond the Poseidon Adventure, Raiders of the Lost Ark\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:006", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) 12 Angry Men, Mindhunters, Braveheart, Mo' Better Blues, The Usual Suspects\n(B) Braveheart, The Usual Suspects, Pulp Fiction, The Shawshank Redemption, Schindler's List\n(C) Mindhunters, 12 Angry Men, Pulp Fiction, Mo' Better Blues, The Usual Suspects\n(D) 12 Angry Men, Schindler's List, Braveheart, Mo' Better Blues, Pulp Fiction\n(E) The Usual Suspects, Braveheart, 12 Angry Men, Schindler's List, Pulp Fiction\n(F) Schindler's List, 12 Angry Men, The Shawshank Redemption, The Usual Suspects, Mindhunters\n(G) Braveheart, 12 Angry Men, Pulp Fiction, Mindhunters, Schindler's List\n(H) Pulp Fiction, The Shawshank Redemption, The Usual Suspects, Schindler's List, Mo' Better Blues\n(I) Mo' Better Blues, The Shawshank Redemption, Braveheart, 12 Angry Men, Mindhunters\n(J) Mo' Better Blues, Braveheart, Mindhunters, Schindler's List, 12 Angry Men\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:007", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Eddie the Eagle, Forrest Gump, The Silence of the Lambs, Jurassic Park, Braveheart\n(B) The Silence of the Lambs, A Hard Day's Night, Showtime, Forrest Gump, Schindler's List\n(C) Braveheart, Showtime, The Silence of the Lambs, Forrest Gump, Jurassic Park\n(D) Eddie the Eagle, The Silence of the Lambs, A Hard Day's Night, Forrest Gump, Jurassic Park\n(E) Braveheart, A Hard Day's Night, Showtime, Eddie the Eagle, Schindler's List\n(F) Forrest Gump, Jurassic Park, The Silence of the Lambs, Schindler's List, Braveheart\n(G) Jurassic Park, Forrest Gump, Eddie the Eagle, The Silence of the Lambs, Schindler's List\n(H) Eddie the Eagle, Braveheart, A Hard Day's Night, Showtime, Forrest Gump\n(I) Schindler's List, A Hard Day's Night, Forrest Gump, Eddie the Eagle, Showtime\n(J) A Hard Day's Night, Braveheart, Eddie the Eagle, The Silence of the Lambs, Showtime\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:010", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Shawshank Redemption, Anchors Aweigh, The Fugitive, Forrest Gump, Pulp Fiction\n(B) Dances with Wolves, Pulp Fiction, Anchors Aweigh, The Shawshank Redemption, Porky's Revenge\n(C) Porky's Revenge, Anchors Aweigh, The Shawshank Redemption, Looney Tunes Back in Action, The Fugitive\n(D) Dances with Wolves, Porky's Revenge, Pulp Fiction, The Fugitive, The Shawshank Redemption\n(E) Porky's Revenge, Forrest Gump, Anchors Aweigh, The Fugitive, Looney Tunes Back in Action\n(F) Anchors Aweigh, The Fugitive, The Shawshank Redemption, Pulp Fiction, Looney Tunes Back in Action\n(G) Anchors Aweigh, The Fugitive, Forrest Gump, Looney Tunes Back in Action, Pulp Fiction\n(H) Pulp Fiction, Looney Tunes Back in Action, Anchors Aweigh, Dances with Wolves, Forrest Gump\n(I) The Shawshank Redemption, Forrest Gump, Pulp Fiction, Dances with Wolves, The Fugitive\n(J) Pulp Fiction, The Fugitive, Looney Tunes Back in Action, Dances with Wolves, Porky's Revenge\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:015", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Fugitive, Crimson Tide, Pulp Fiction, Braveheart, The Shawshank Redemption\n(B) A Separation, Pulp Fiction, The Shawshank Redemption, Goon Last of the Enforcers, A Very Harold & Kumar 3D Christmas\n(C) The Shawshank Redemption, Crimson Tide, Braveheart, Pulp Fiction, Goon Last of the Enforcers\n(D) Braveheart, The Fugitive, Crimson Tide, Pulp Fiction, Goon Last of the Enforcers\n(E) Goon Last of the Enforcers, A Separation, Pulp Fiction, Braveheart, The Shawshank Redemption\n(F) Goon Last of the Enforcers, A Very Harold & Kumar 3D Christmas, Crimson Tide, Braveheart, A Separation\n(G) A Separation, The Shawshank Redemption, Braveheart, A Very Harold & Kumar 3D Christmas, Goon Last of the Enforcers\n(H) Crimson Tide, The Shawshank Redemption, Goon Last of the Enforcers, The Fugitive, Braveheart\n(I) Crimson Tide, The Fugitive, Pulp Fiction, A Very Harold & Kumar 3D Christmas, The Shawshank Redemption\n(J) Pulp Fiction, The Shawshank Redemption, Goon Last of the Enforcers, Crimson Tide, The Fugitive\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:016", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Art of the Steal, The Fugitive, Battlestar Galactica The Plan, Breakin' All the Rules, Pulp Fiction\n(B) Schindler's List, Pulp Fiction, The Fugitive, Breakin' All the Rules, The Shawshank Redemption\n(C) The Lion King, The Shawshank Redemption, Schindler's List, The Fugitive, Pulp Fiction\n(D) The Art of the Steal, The Fugitive, The Shawshank Redemption, Schindler's List, Pulp Fiction\n(E) Pulp Fiction, Schindler's List, The Shawshank Redemption, Breakin' All the Rules, The Lion King\n(F) Schindler's List, The Shawshank Redemption, Battlestar Galactica The Plan, The Fugitive, The Lion King\n(G) Breakin' All the Rules, The Art of the Steal, Schindler's List, Battlestar Galactica The Plan, The Fugitive\n(H) The Fugitive, The Shawshank Redemption, Battlestar Galactica The Plan, Schindler's List, Breakin' All the Rules\n(I) The Art of the Steal, The Lion King, Pulp Fiction, The Shawshank Redemption, Battlestar Galactica The Plan\n(J) Pulp Fiction, The Shawshank Redemption, The Fugitive, Battlestar Galactica The Plan, The Lion King\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:017", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Schindler's List, The Shawshank Redemption, Braveheart, Captain America The First Avenger, Dances with Wolves\n(B) Manic, The Shawshank Redemption, Dances with Wolves, Braveheart, Pulp Fiction\n(C) Manic, Pulp Fiction, Schindler's List, The Shawshank Redemption, Dances with Wolves\n(D) The Shawshank Redemption, Pulp Fiction, Captain America The First Avenger, Schindler's List, Manic\n(E) Pulp Fiction, Schindler's List, Dances with Wolves, The Shawshank Redemption, Braveheart\n(F) Dances with Wolves, Schindler's List, Easter Parade, Pulp Fiction, The Shawshank Redemption\n(G) Braveheart, Pulp Fiction, Dances with Wolves, Schindler's List, Captain America The First Avenger\n(H) Braveheart, Easter Parade, Manic, Dances with Wolves, Captain America The First Avenger\n(I) Schindler's List, Braveheart, Dances with Wolves, Manic, Easter Parade\n(J) Schindler's List, The Shawshank Redemption, Easter Parade, Manic, Dances with Wolves\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:018", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Extreme Measures, Jurassic Park, Independence Day, Beauty and the Beast, The Silence of the Lambs\n(B) Independence Day, The Silence of the Lambs, Jurassic Park, Extreme Measures, Forrest Gump\n(C) Kicking Off, Independence Day, Jurassic Park, Beauty and the Beast, Forrest Gump\n(D) Kicking Off, Jurassic Park, Beauty and the Beast, The Bag Man, The Silence of the Lambs\n(E) Kicking Off, Forrest Gump, Jurassic Park, Beauty and the Beast, The Silence of the Lambs\n(F) Beauty and the Beast, Extreme Measures, Kicking Off, Independence Day, The Bag Man\n(G) Independence Day, Forrest Gump, Beauty and the Beast, Jurassic Park, The Silence of the Lambs\n(H) Kicking Off, Jurassic Park, Extreme Measures, The Bag Man, Beauty and the Beast\n(I) Forrest Gump, Independence Day, Jurassic Park, The Silence of the Lambs, The Bag Man\n(J) Beauty and the Beast, Forrest Gump, Independence Day, Jurassic Park, Extreme Measures\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:020", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Independence Day, Pulp Fiction, Forrest Gump, Raiders of the Lost Ark, Inception\n(B) Who's Afraid of Virginia Woolf, Inception, Raiders of the Lost Ark, Fantastic Mr Fox, Pulp Fiction\n(C) Raiders of the Lost Ark, Inception, Fantastic Mr Fox, Clash of the Titans, Who's Afraid of Virginia Woolf\n(D) Forrest Gump, Who's Afraid of Virginia Woolf, Independence Day, Pulp Fiction, Inception\n(E) Fantastic Mr Fox, Independence Day, Raiders of the Lost Ark, Clash of the Titans, Pulp Fiction\n(F) Inception, Raiders of the Lost Ark, Fantastic Mr Fox, Forrest Gump, Independence Day\n(G) Pulp Fiction, Inception, Fantastic Mr Fox, Who's Afraid of Virginia Woolf, Independence Day\n(H) Independence Day, Who's Afraid of Virginia Woolf, Clash of the Titans, Forrest Gump, Raiders of the Lost Ark\n(I) Inception, Raiders of the Lost Ark, Who's Afraid of Virginia Woolf, Clash of the Titans, Pulp Fiction\n(J) Who's Afraid of Virginia Woolf, Pulp Fiction, Fantastic Mr Fox, Raiders of the Lost Ark, Clash of the Titans\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:022", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Jurassic World Fallen Kingdom, Insomnia, Spider-Man 2, Spider-Man, Across the Universe\n(B) Spider-Man, The Fifth Element, Spider-Man 2, The Matrix, Independence Day\n(C) Independence Day, Spider-Man 2, Spider-Man, Jurassic World Fallen Kingdom, The Matrix\n(D) Across the Universe, Independence Day, The Matrix, The Fifth Element, Spider-Man\n(E) Jurassic World Fallen Kingdom, Across the Universe, Spider-Man, Spider-Man 2, Independence Day\n(F) Independence Day, The Fifth Element, Spider-Man, The Matrix, Jurassic World Fallen Kingdom\n(G) Insomnia, Independence Day, Across the Universe, The Matrix, Jurassic World Fallen Kingdom\n(H) Spider-Man, Spider-Man 2, The Matrix, Jurassic World Fallen Kingdom, Across the Universe\n(I) Spider-Man 2, Independence Day, Insomnia, The Matrix, The Fifth Element\n(J) Spider-Man, Independence Day, Jurassic World Fallen Kingdom, The Fifth Element, Spider-Man 2\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:024", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Sixth Sense, Ice Guardians, Go, Cinema Paradiso, Army of Darkness\n(B) Cinema Paradiso, Go, Alien, Children of the Corn III, Ice Guardians\n(C) Army of Darkness, The Sixth Sense, Alien, Cool Hand Luke, Go\n(D) Alien, Go, Cool Hand Luke, Army of Darkness, Cinema Paradiso\n(E) Alien, Cool Hand Luke, Army of Darkness, Ice Guardians, Go\n(F) Cool Hand Luke, The Sixth Sense, Children of the Corn III, Go, Cinema Paradiso\n(G) Ice Guardians, Cinema Paradiso, Children of the Corn III, Army of Darkness, Cool Hand Luke\n(H) The Sixth Sense, Go, Cool Hand Luke, Ice Guardians, Alien\n(I) Alien, The Sixth Sense, Cinema Paradiso, Go, Children of the Corn III\n(J) Children of the Corn III, The Sixth Sense, Go, Cinema Paradiso, Ice Guardians\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:027", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Batman, The Mask, The Lion King, Punch-Drunk Love, Toy Story\n(B) Exit Wounds, Pretty Woman, Punch-Drunk Love, Batman, The Mask\n(C) Punch-Drunk Love, The Lion King, Batman, Seeking Justice, Toy Story\n(D) Batman, The Lion King, Pretty Woman, Seeking Justice, The Mask\n(E) The Lion King, Batman, Punch-Drunk Love, Seeking Justice, Exit Wounds\n(F) Exit Wounds, Batman, The Mask, Seeking Justice, The Lion King\n(G) Toy Story, Seeking Justice, Exit Wounds, Punch-Drunk Love, The Lion King\n(H) Batman, The Mask, Toy Story, The Lion King, Pretty Woman\n(I) Batman, Exit Wounds, The Mask, Pretty Woman, Toy Story\n(J) Punch-Drunk Love, Exit Wounds, Toy Story, Batman, The Lion King\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:028", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Shawshank Redemption, Dances with Wolves, Schindler's List, Braveheart, Pulp Fiction\n(B) Schindler's List, The Shawshank Redemption, Robot Carnival, The Family Stone, The Bank Job\n(C) Dances with Wolves, The Bank Job, Braveheart, Pulp Fiction, Schindler's List\n(D) Braveheart, Schindler's List, Dances with Wolves, Robot Carnival, Pulp Fiction\n(E) Schindler's List, The Shawshank Redemption, Pulp Fiction, Braveheart, The Bank Job\n(F) Braveheart, The Family Stone, Robot Carnival, Pulp Fiction, The Bank Job\n(G) The Bank Job, Robot Carnival, Schindler's List, Dances with Wolves, Pulp Fiction\n(H) Braveheart, Schindler's List, The Family Stone, Pulp Fiction, The Shawshank Redemption\n(I) Dances with Wolves, The Bank Job, Robot Carnival, Schindler's List, The Family Stone\n(J) The Bank Job, Pulp Fiction, Robot Carnival, The Shawshank Redemption, Schindler's List\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:031", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Fugitive, Braveheart, Mad City, The Scorpion King, City of Men\n(B) City of Men, The Lion King, The Shawshank Redemption, Braveheart, Schindler's List\n(C) The Shawshank Redemption, Schindler's List, The Lion King, Braveheart, The Fugitive\n(D) The Lion King, The Fugitive, Mad City, The Shawshank Redemption, Schindler's List\n(E) Braveheart, The Scorpion King, The Shawshank Redemption, The Fugitive, City of Men\n(F) The Fugitive, Mad City, Braveheart, The Shawshank Redemption, City of Men\n(G) The Fugitive, The Shawshank Redemption, Braveheart, City of Men, Schindler's List\n(H) Mad City, Braveheart, The Shawshank Redemption, The Fugitive, The Scorpion King\n(I) The Shawshank Redemption, The Lion King, The Scorpion King, Schindler's List, City of Men\n(J) Braveheart, City of Men, Schindler's List, The Fugitive, The Scorpion King\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:032", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Pulp Fiction, Dances with Wolves, Braveheart, The Usual Suspects, Schindler's List\n(B) Dances with Wolves, Braveheart, Shadow of the Vampire, The Usual Suspects, Schindler's List\n(C) On the Town, Braveheart, Tickling Giants, Pulp Fiction, Dances with Wolves\n(D) Dances with Wolves, The Usual Suspects, Shadow of the Vampire, Pulp Fiction, Braveheart\n(E) Braveheart, Schindler's List, Tickling Giants, The Usual Suspects, Pulp Fiction\n(F) On the Town, Braveheart, Shadow of the Vampire, The Usual Suspects, Dances with Wolves\n(G) Braveheart, Pulp Fiction, Dances with Wolves, Tickling Giants, Schindler's List\n(H) Schindler's List, The Usual Suspects, Tickling Giants, Shadow of the Vampire, On the Town\n(I) On the Town, The Usual Suspects, Tickling Giants, Shadow of the Vampire, Dances with Wolves\n(J) Pulp Fiction, Dances with Wolves, Braveheart, On the Town, The Usual Suspects\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:033", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Star Wars Episode IV - A New Hope, Crossfire, Forrest Gump, The Sixth Sense, The Usual Suspects\n(B) The Sixth Sense, Forrest Gump, The Lord of the Rings The Two Towers, The Usual Suspects, End of Days\n(C) The Usual Suspects, The Sixth Sense, Forrest Gump, Star Wars Episode IV - A New Hope, End of Days\n(D) Nothing to Declare, Star Wars Episode IV - A New Hope, Crossfire, End of Days, The Usual Suspects\n(E) Nothing to Declare, Crossfire, Forrest Gump, End of Days, Star Wars Episode IV - A New Hope\n(F) The Usual Suspects, Forrest Gump, The Lord of the Rings The Two Towers, Star Wars Episode IV - A New Hope, The Sixth Sense\n(G) Forrest Gump, The Usual Suspects, The Lord of the Rings The Two Towers, Crossfire, The Sixth Sense\n(H) Forrest Gump, Star Wars Episode IV - A New Hope, Crossfire, The Lord of the Rings The Two Towers, End of Days\n(I) Nothing to Declare, The Lord of the Rings The Two Towers, The Usual Suspects, Forrest Gump, The Sixth Sense\n(J) Star Wars Episode IV - A New Hope, Nothing to Declare, The Lord of the Rings The Two Towers, Forrest Gump, The Usual Suspects\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:035", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Forrest Gump, Batman, The Quiet American, Jurassic Park, Schindler's List\n(B) The Quiet American, A Tale of Two Cities, Forrest Gump, Batman, Alien Resurrection\n(C) Alien Resurrection, A Tale of Two Cities, Jurassic Park, Schindler's List, The Quiet American\n(D) The Silence of the Lambs, The Quiet American, A Tale of Two Cities, Alien Resurrection, Batman\n(E) Jurassic Park, Forrest Gump, Batman, Alien Resurrection, A Tale of Two Cities\n(F) The Silence of the Lambs, The Quiet American, Batman, Schindler's List, Alien Resurrection\n(G) Forrest Gump, Schindler's List, Jurassic Park, Alien Resurrection, The Silence of the Lambs\n(H) The Quiet American, A Tale of Two Cities, Alien Resurrection, Jurassic Park, Batman\n(I) Schindler's List, Jurassic Park, Forrest Gump, The Silence of the Lambs, Batman\n(J) The Silence of the Lambs, A Tale of Two Cities, Batman, Forrest Gump, Jurassic Park\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:036", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Detachment, Ruby Sparks, The Lion King, The Next Three Days, Aladdin\n(B) Aladdin, Pulp Fiction, The Shawshank Redemption, Detachment, Ruby Sparks\n(C) The Lion King, Aladdin, Ruby Sparks, Pulp Fiction, The Shawshank Redemption\n(D) Pulp Fiction, The Shawshank Redemption, Detachment, The Lion King, The Next Three Days\n(E) The Shawshank Redemption, Terminator 2 Judgment Day, The Lion King, Ruby Sparks, Aladdin\n(F) Aladdin, Pulp Fiction, The Shawshank Redemption, Detachment, The Next Three Days\n(G) Terminator 2 Judgment Day, Pulp Fiction, Aladdin, The Shawshank Redemption, The Lion King\n(H) The Lion King, The Next Three Days, Detachment, Ruby Sparks, Terminator 2 Judgment Day\n(I) Ruby Sparks, Terminator 2 Judgment Day, Aladdin, The Next Three Days, Pulp Fiction\n(J) Pulp Fiction, The Lion King, Terminator 2 Judgment Day, The Shawshank Redemption, The Next Three Days\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:041", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Fugitive, Baxter, Pulp Fiction, Interview with the Vampire The Vampire Chronicles, The Shawshank Redemption\n(B) The Usual Suspects, The Wasp Woman, The Fugitive, Baxter, Toy Soldiers\n(C) The Usual Suspects, Pulp Fiction, The Shawshank Redemption, Baxter, The Fugitive\n(D) The Shawshank Redemption, Toy Soldiers, Baxter, The Usual Suspects, The Wasp Woman\n(E) Toy Soldiers, Interview with the Vampire The Vampire Chronicles, The Wasp Woman, The Fugitive, The Usual Suspects\n(F) Pulp Fiction, The Shawshank Redemption, Interview with the Vampire The Vampire Chronicles, The Usual Suspects, Baxter\n(G) The Fugitive, Pulp Fiction, Toy Soldiers, The Wasp Woman, Baxter\n(H) Toy Soldiers, The Wasp Woman, The Fugitive, The Usual Suspects, The Shawshank Redemption\n(I) Pulp Fiction, The Shawshank Redemption, The Fugitive, Interview with the Vampire The Vampire Chronicles, The Usual Suspects\n(J) The Fugitive, The Shawshank Redemption, Pulp Fiction, The Wasp Woman, Baxter\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:042", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Pulp Fiction, Stargate, Forrest Gump, Dances with Wolves, The Fugitive\n(B) Scorched, Dances with Wolves, Forrest Gump, The Fugitive, Kevin Smith Too Fat For 40\n(C) Stargate, Pulp Fiction, Dances with Wolves, Scorched, The Fugitive\n(D) Dances with Wolves, The Fugitive, Scorched, Stand and Deliver, Kevin Smith Too Fat For 40\n(E) Kevin Smith Too Fat For 40, Scorched, The Fugitive, Stargate, Pulp Fiction\n(F) Dances with Wolves, Stargate, Stand and Deliver, Kevin Smith Too Fat For 40, Scorched\n(G) Forrest Gump, Kevin Smith Too Fat For 40, Dances with Wolves, Pulp Fiction, The Fugitive\n(H) Forrest Gump, Kevin Smith Too Fat For 40, Pulp Fiction, Stand and Deliver, The Fugitive\n(I) Scorched, Kevin Smith Too Fat For 40, Dances with Wolves, Stand and Deliver, Pulp Fiction\n(J) Forrest Gump, Stargate, Dances with Wolves, Pulp Fiction, Stand and Deliver\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:043", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Fugitive, The Lion King, Schindler's List, Beauty and the Beast, The Shawshank Redemption\n(B) The Shawshank Redemption, Urban Cowboy, Universal Soldier Day of Reckoning, Schindler's List, Space Truckers\n(C) The Shawshank Redemption, The Fugitive, The Lion King, Urban Cowboy, Schindler's List\n(D) The Fugitive, The Shawshank Redemption, Urban Cowboy, Universal Soldier Day of Reckoning, Space Truckers\n(E) Space Truckers, The Fugitive, Schindler's List, Beauty and the Beast, The Shawshank Redemption\n(F) The Fugitive, Space Truckers, Universal Soldier Day of Reckoning, Schindler's List, The Lion King\n(G) The Shawshank Redemption, Space Truckers, Beauty and the Beast, Urban Cowboy, Universal Soldier Day of Reckoning\n(H) The Lion King, The Shawshank Redemption, Universal Soldier Day of Reckoning, Schindler's List, Urban Cowboy\n(I) Space Truckers, The Lion King, The Fugitive, Universal Soldier Day of Reckoning, Urban Cowboy\n(J) Urban Cowboy, The Fugitive, Space Truckers, Universal Soldier Day of Reckoning, Beauty and the Beast\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:044", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Pinocchio, Beauty and the Beast, The Lion King, Snow White and the Seven Dwarfs, The Thing\n(B) The Lion King, Snow White and the Seven Dwarfs, The Secret Garden, The Thing, Beauty and the Beast\n(C) Pinocchio, Nymphomaniac Volume I, Beauty and the Beast, Snow White and the Seven Dwarfs, The Lion King\n(D) Snow White and the Seven Dwarfs, Pinocchio, The Thing, Lights in the Dusk, Nymphomaniac Volume I\n(E) The Secret Garden, Nymphomaniac Volume I, Snow White and the Seven Dwarfs, The Thing, Lights in the Dusk\n(F) Snow White and the Seven Dwarfs, Nymphomaniac Volume I, The Thing, Pinocchio, The Lion King\n(G) Beauty and the Beast, Lights in the Dusk, The Secret Garden, Pinocchio, Snow White and the Seven Dwarfs\n(H) The Lion King, Pinocchio, The Secret Garden, The Thing, Lights in the Dusk\n(I) Nymphomaniac Volume I, Beauty and the Beast, Lights in the Dusk, The Thing, Pinocchio\n(J) Pinocchio, The Lion King, Snow White and the Seven Dwarfs, The Secret Garden, Beauty and the Beast\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:045", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Matrix, The Fifth Element, Swimming Pool, For the Boys, Gattaca\n(B) Maggie's Plan, The Fifth Element, The Matrix, Raiders of the Lost Ark, Gladiator\n(C) Gladiator, Maggie's Plan, Swimming Pool, For the Boys, Gattaca\n(D) Swimming Pool, Gattaca, The Fifth Element, The Matrix, Raiders of the Lost Ark\n(E) The Fifth Element, Maggie's Plan, Gladiator, For the Boys, The Matrix\n(F) The Fifth Element, Raiders of the Lost Ark, Maggie's Plan, Gladiator, Gattaca\n(G) Gladiator, Raiders of the Lost Ark, Gattaca, The Matrix, The Fifth Element\n(H) The Fifth Element, Swimming Pool, Raiders of the Lost Ark, Gattaca, For the Boys\n(I) The Fifth Element, Swimming Pool, Raiders of the Lost Ark, Maggie's Plan, For the Boys\n(J) Swimming Pool, The Matrix, Maggie's Plan, For the Boys, The Fifth Element\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:046", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Gintama The Final Chapter - Be Forever Yorozuya, Los Angeles Plays Itself, Pretty Woman, The Fugitive, Batman\n(B) The Lion King, The Mask, The Fugitive, Pretty Woman, Gintama The Final Chapter - Be Forever Yorozuya\n(C) Gintama The Final Chapter - Be Forever Yorozuya, Los Angeles Plays Itself, Pretty Woman, The Mask, Doctor Who Last Christmas\n(D) Doctor Who Last Christmas, Pretty Woman, The Lion King, Batman, The Fugitive\n(E) Gintama The Final Chapter - Be Forever Yorozuya, Los Angeles Plays Itself, The Lion King, Batman, The Mask\n(F) The Lion King, Batman, Pretty Woman, The Mask, The Fugitive\n(G) The Lion King, The Mask, Doctor Who Last Christmas, Los Angeles Plays Itself, Gintama The Final Chapter - Be Forever Yorozuya\n(H) The Fugitive, Pretty Woman, Gintama The Final Chapter - Be Forever Yorozuya, Batman, Doctor Who Last Christmas\n(I) The Lion King, Pretty Woman, Doctor Who Last Christmas, Gintama The Final Chapter - Be Forever Yorozuya, The Fugitive\n(J) Batman, The Mask, Doctor Who Last Christmas, Los Angeles Plays Itself, The Lion King\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:047", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Lion King, Braveheart, The Shawshank Redemption, Schindler's List, Dances with Wolves\n(B) Dances with Wolves, Schindler's List, Crush, Poltergeist III, The Shawshank Redemption\n(C) Dances with Wolves, Schindler's List, Braveheart, Poltergeist III, Pickup on South Street\n(D) The Lion King, Poltergeist III, Schindler's List, Pickup on South Street, Crush\n(E) Braveheart, Crush, Schindler's List, Pickup on South Street, Poltergeist III\n(F) The Lion King, The Shawshank Redemption, Poltergeist III, Crush, Schindler's List\n(G) Schindler's List, The Shawshank Redemption, Poltergeist III, Dances with Wolves, Braveheart\n(H) Poltergeist III, Crush, The Shawshank Redemption, Braveheart, Schindler's List\n(I) Schindler's List, Pickup on South Street, Poltergeist III, The Shawshank Redemption, Braveheart\n(J) Poltergeist III, The Shawshank Redemption, Braveheart, Crush, Pickup on South Street\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:050", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Hairspray, The Usual Suspects, Pillow Talk, The Firm, Crimson Tide\n(B) Crimson Tide, Braveheart, The Usual Suspects, Hairspray, The Fugitive\n(C) The Fugitive, Pillow Talk, Hairspray, Get Shorty, Braveheart\n(D) The Fugitive, Get Shorty, The Usual Suspects, Braveheart, Crimson Tide\n(E) The Fugitive, Hairspray, The Firm, Pillow Talk, Crimson Tide\n(F) Get Shorty, The Usual Suspects, The Fugitive, Braveheart, Pillow Talk\n(G) The Firm, The Fugitive, Pillow Talk, Hairspray, Braveheart\n(H) The Firm, Crimson Tide, Get Shorty, Braveheart, The Usual Suspects\n(I) Crimson Tide, Braveheart, Pillow Talk, Hairspray, The Firm\n(J) The Usual Suspects, Crimson Tide, Braveheart, Pillow Talk, Get Shorty\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:051", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Batman, Independence Day, Microwave Massacre, The Mask, To Catch a Thief\n(B) Microwave Massacre, Forrest Gump, Pleasantville, To Catch a Thief, Jurassic Park\n(C) Forrest Gump, Pleasantville, Jurassic Park, Batman, Independence Day\n(D) Jurassic Park, Forrest Gump, Pleasantville, The Mask, Independence Day\n(E) Microwave Massacre, Independence Day, The Mask, Jurassic Park, Pleasantville\n(F) Forrest Gump, To Catch a Thief, Independence Day, Batman, Pleasantville\n(G) Batman, The Mask, Forrest Gump, Independence Day, Jurassic Park\n(H) Pleasantville, Forrest Gump, Batman, To Catch a Thief, The Mask\n(I) Jurassic Park, Pleasantville, Forrest Gump, The Mask, Microwave Massacre\n(J) Jurassic Park, Batman, Microwave Massacre, To Catch a Thief, The Mask\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:052", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Pulp Fiction, Schindler's List, Terminator 2 Judgment Day, Hawks and Sparrows, The Lion King\n(B) The Scent of Green Papaya, Terminator 2 Judgment Day, Aladdin, The Lion King, Pulp Fiction\n(C) The Lion King, Pulp Fiction, Schindler's List, Aladdin, The Scent of Green Papaya\n(D) Terminator 2 Judgment Day, Hawks and Sparrows, The Lion King, Aladdin, Pulp Fiction\n(E) Schindler's List, Pulp Fiction, Le Maître d'école, The Scent of Green Papaya, The Lion King\n(F) Pulp Fiction, Hawks and Sparrows, The Scent of Green Papaya, Aladdin, Le Maître d'école\n(G) Le Maître d'école, Schindler's List, Aladdin, Terminator 2 Judgment Day, The Scent of Green Papaya\n(H) Terminator 2 Judgment Day, Aladdin, Schindler's List, Hawks and Sparrows, The Lion King\n(I) Schindler's List, Pulp Fiction, The Lion King, Aladdin, Terminator 2 Judgment Day\n(J) Schindler's List, Pulp Fiction, The Lion King, Hawks and Sparrows, Aladdin\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:053", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Some Kind of Wonderful, Star Wars Episode IV - A New Hope, Monty Python and the Holy Grail, Star Wars Episode V - The Empire Strikes Back, Goodfellas\n(B) Monty Python and the Holy Grail, Chocolat, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope, The Silence of the Lambs\n(C) Some Kind of Wonderful, Star Wars Episode IV - A New Hope, The Silence of the Lambs, Chocolat, Child's Play 3\n(D) Chocolat, Star Wars Episode V - The Empire Strikes Back, Monty Python and the Holy Grail, Goodfellas, Some Kind of Wonderful\n(E) Star Wars Episode V - The Empire Strikes Back, Goodfellas, Monty Python and the Holy Grail, The Silence of the Lambs, Chocolat\n(F) Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope, Goodfellas, Child's Play 3, Chocolat\n(G) Goodfellas, Star Wars Episode IV - A New Hope, Star Wars Episode V - The Empire Strikes Back, Child's Play 3, Monty Python and the Holy Grail\n(H) Chocolat, The Silence of the Lambs, Star Wars Episode IV - A New Hope, Child's Play 3, Star Wars Episode V - The Empire Strikes Back\n(I) Monty Python and the Holy Grail, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope, Goodfellas, The Silence of the Lambs\n(J) Child's Play 3, Goodfellas, Chocolat, The Silence of the Lambs, Some Kind of Wonderful\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:054", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Star Wars Episode VI - Return of the Jedi, Back to the Future, Sleeping with the Enemy, Forrest Gump, Independence Day\n(B) Independence Day, Sleeping with the Enemy, Out of the Past, Ghost in the Shell Arise - Border 2 Ghost Whispers, Back to the Future\n(C) Star Wars Episode VI - Return of the Jedi, Out of the Past, Independence Day, Back to the Future, Ghost in the Shell Arise - Border 2 Ghost Whispers\n(D) Forrest Gump, Independence Day, Star Wars Episode VI - Return of the Jedi, Sleeping with the Enemy, Ghost in the Shell Arise - Border 2 Ghost Whispers\n(E) The Matrix, Forrest Gump, Independence Day, Star Wars Episode VI - Return of the Jedi, Back to the Future\n(F) Star Wars Episode VI - Return of the Jedi, Ghost in the Shell Arise - Border 2 Ghost Whispers, Out of the Past, Back to the Future, Sleeping with the Enemy\n(G) Sleeping with the Enemy, Ghost in the Shell Arise - Border 2 Ghost Whispers, Independence Day, Out of the Past, Forrest Gump\n(H) The Matrix, Forrest Gump, Independence Day, Out of the Past, Back to the Future\n(I) Ghost in the Shell Arise - Border 2 Ghost Whispers, Out of the Past, Sleeping with the Enemy, Independence Day, Star Wars Episode VI - Return of the Jedi\n(J) Forrest Gump, Star Wars Episode VI - Return of the Jedi, Independence Day, Ghost in the Shell Arise - Border 2 Ghost Whispers, Out of the Past\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:060", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Secretary, Independence Day, The Lifeguard, The Human Condition III, Forrest Gump\n(B) Secretary, Forrest Gump, Star Wars Episode IV - A New Hope, The Lifeguard, Independence Day\n(C) Secretary, The Lifeguard, The Human Condition III, Star Wars Episode IV - A New Hope, Independence Day\n(D) Star Wars Episode IV - A New Hope, Forrest Gump, The Lifeguard, The Terminator, Independence Day\n(E) The Human Condition III, Independence Day, Secretary, The Terminator, Forrest Gump\n(F) The Terminator, The Human Condition III, Secretary, The Lifeguard, Independence Day\n(G) Independence Day, The Terminator, Star Wars Episode VI - Return of the Jedi, Forrest Gump, Star Wars Episode IV - A New Hope\n(H) Independence Day, Star Wars Episode IV - A New Hope, The Terminator, The Lifeguard, Star Wars Episode VI - Return of the Jedi\n(I) Independence Day, Forrest Gump, The Lifeguard, Star Wars Episode VI - Return of the Jedi, The Terminator\n(J) Independence Day, Star Wars Episode VI - Return of the Jedi, Secretary, Forrest Gump, Star Wars Episode IV - A New Hope\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:061", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Batman Assault on Arkham, Pretty Woman, Apollo 13, The Flamingo Kid, Dances with Wolves\n(B) Apollo 13, Pretty Woman, The Shawshank Redemption, Pokémon Heroes, Braveheart\n(C) Pretty Woman, Pokémon Heroes, The Shawshank Redemption, Braveheart, The Flamingo Kid\n(D) Pokémon Heroes, The Flamingo Kid, Batman Assault on Arkham, Braveheart, The Shawshank Redemption\n(E) Pokémon Heroes, Batman Assault on Arkham, The Shawshank Redemption, The Flamingo Kid, Apollo 13\n(F) Pretty Woman, The Flamingo Kid, Dances with Wolves, Pokémon Heroes, Braveheart\n(G) Braveheart, Dances with Wolves, The Shawshank Redemption, Apollo 13, Pretty Woman\n(H) The Flamingo Kid, Batman Assault on Arkham, Braveheart, Pokémon Heroes, Pretty Woman\n(I) Braveheart, The Shawshank Redemption, Batman Assault on Arkham, Pretty Woman, Apollo 13\n(J) Pretty Woman, Dances with Wolves, Pokémon Heroes, The Shawshank Redemption, Braveheart\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:065", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Wisdom, Conan the Barbarian, The Usual Suspects, Star Wars Episode V - The Empire Strikes Back, Pulp Fiction\n(B) The Usual Suspects, Star Wars Episode IV - A New Hope, Pulp Fiction, Star Wars Episode V - The Empire Strikes Back, Fargo\n(C) Wisdom, The Crew, Conan the Barbarian, Fargo, Star Wars Episode IV - A New Hope\n(D) Fargo, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope, The Usual Suspects, The Crew\n(E) Wisdom, Fargo, The Usual Suspects, Conan the Barbarian, Pulp Fiction\n(F) The Crew, Fargo, The Usual Suspects, Pulp Fiction, Star Wars Episode V - The Empire Strikes Back\n(G) Conan the Barbarian, Star Wars Episode V - The Empire Strikes Back, Wisdom, Fargo, Pulp Fiction\n(H) The Usual Suspects, Star Wars Episode IV - A New Hope, Star Wars Episode V - The Empire Strikes Back, Pulp Fiction, Conan the Barbarian\n(I) Wisdom, Star Wars Episode IV - A New Hope, Star Wars Episode V - The Empire Strikes Back, The Usual Suspects, Fargo\n(J) Pulp Fiction, Star Wars Episode V - The Empire Strikes Back, The Usual Suspects, Star Wars Episode IV - A New Hope, Wisdom\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:067", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) American History X, Requiem for a Dream, Goodfellas, Raiders of the Lost Ark, Little Man\n(B) Little Man, Raiders of the Lost Ark, Miss Meadows, The Sixth Sense, You Can't Take It with You\n(C) Miss Meadows, Raiders of the Lost Ark, Little Man, You Can't Take It with You, Goodfellas\n(D) American History X, Requiem for a Dream, Goodfellas, The Sixth Sense, Raiders of the Lost Ark\n(E) Requiem for a Dream, The Sixth Sense, American History X, You Can't Take It with You, Goodfellas\n(F) Goodfellas, Raiders of the Lost Ark, The Sixth Sense, Little Man, American History X\n(G) The Sixth Sense, Raiders of the Lost Ark, You Can't Take It with You, Goodfellas, Little Man\n(H) Requiem for a Dream, Goodfellas, Miss Meadows, The Sixth Sense, You Can't Take It with You\n(I) You Can't Take It with You, Raiders of the Lost Ark, Requiem for a Dream, The Sixth Sense, American History X\n(J) Miss Meadows, Requiem for a Dream, The Sixth Sense, You Can't Take It with You, American History X\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:068", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Radioland Murders, Father of the Bride, The Fugitive, Forrest Gump, Pulp Fiction\n(B) Forrest Gump, Pulp Fiction, The Shawshank Redemption, The Fugitive, Dances with Wolves\n(C) The Girl on the Bridge, Father of the Bride, The Shawshank Redemption, The Fugitive, Pulp Fiction\n(D) Forrest Gump, Dances with Wolves, Radioland Murders, The Girl on the Bridge, The Fugitive\n(E) Forrest Gump, Dances with Wolves, Father of the Bride, The Shawshank Redemption, Radioland Murders\n(F) The Fugitive, Father of the Bride, Dances with Wolves, Forrest Gump, Pulp Fiction\n(G) Father of the Bride, The Shawshank Redemption, The Girl on the Bridge, Forrest Gump, Dances with Wolves\n(H) Pulp Fiction, Radioland Murders, Forrest Gump, The Shawshank Redemption, The Fugitive\n(I) Father of the Bride, Pulp Fiction, The Fugitive, The Girl on the Bridge, Radioland Murders\n(J) Dances with Wolves, Forrest Gump, The Shawshank Redemption, Father of the Bride, The Fugitive\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:070", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Apollo 13, Schindler's List, Pretty Woman, Bad Taste, Dances with Wolves\n(B) The Santa Clause 2, Braveheart, Dances with Wolves, Bad Taste, My Big Fat Greek Wedding 2\n(C) Braveheart, Bad Taste, Schindler's List, The Santa Clause 2, Apollo 13\n(D) My Big Fat Greek Wedding 2, Braveheart, Pretty Woman, Dances with Wolves, Apollo 13\n(E) Schindler's List, Apollo 13, My Big Fat Greek Wedding 2, Dances with Wolves, Braveheart\n(F) Apollo 13, The Santa Clause 2, Schindler's List, My Big Fat Greek Wedding 2, Braveheart\n(G) Dances with Wolves, Braveheart, Pretty Woman, Apollo 13, Bad Taste\n(H) Pretty Woman, Dances with Wolves, Apollo 13, Braveheart, Schindler's List\n(I) My Big Fat Greek Wedding 2, The Santa Clause 2, Dances with Wolves, Bad Taste, Pretty Woman\n(J) Schindler's List, Apollo 13, Bad Taste, My Big Fat Greek Wedding 2, Pretty Woman\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:071", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Lord of the Rings The Fellowship of the Ring, Siam Sunset, Ladybugs, American Ultra, Inception\n(B) Raiders of the Lost Ark, Ladybugs, Siam Sunset, The Lord of the Rings The Fellowship of the Ring, American Ultra\n(C) Saving Private Ryan, Siam Sunset, Inception, The Lord of the Rings The Two Towers, The Lord of the Rings The Fellowship of the Ring\n(D) Saving Private Ryan, The Lord of the Rings The Fellowship of the Ring, The Lord of the Rings The Two Towers, Ladybugs, Raiders of the Lost Ark\n(E) American Ultra, The Lord of the Rings The Two Towers, Inception, Siam Sunset, Ladybugs\n(F) Inception, Siam Sunset, Saving Private Ryan, Ladybugs, The Lord of the Rings The Two Towers\n(G) Siam Sunset, Inception, Saving Private Ryan, American Ultra, The Lord of the Rings The Two Towers\n(H) Raiders of the Lost Ark, Inception, The Lord of the Rings The Fellowship of the Ring, Saving Private Ryan, The Lord of the Rings The Two Towers\n(I) The Lord of the Rings The Fellowship of the Ring, Inception, The Lord of the Rings The Two Towers, American Ultra, Saving Private Ryan\n(J) Inception, Raiders of the Lost Ark, The Lord of the Rings The Fellowship of the Ring, Ladybugs, Saving Private Ryan\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:072", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Lion King, The Fugitive, Short Circuit 2, Experimenter, Toy Story\n(B) Terminator 2 Judgment Day, Short Circuit 2, The Lion King, Experimenter, Highway 61\n(C) Highway 61, Aladdin, Toy Story, Experimenter, Terminator 2 Judgment Day\n(D) The Fugitive, Toy Story, Terminator 2 Judgment Day, Aladdin, Short Circuit 2\n(E) Short Circuit 2, The Lion King, Terminator 2 Judgment Day, Highway 61, Aladdin\n(F) The Lion King, Aladdin, Terminator 2 Judgment Day, The Fugitive, Experimenter\n(G) Toy Story, Terminator 2 Judgment Day, The Fugitive, Highway 61, Short Circuit 2\n(H) The Fugitive, Toy Story, The Lion King, Terminator 2 Judgment Day, Aladdin\n(I) Aladdin, Short Circuit 2, The Fugitive, Highway 61, Experimenter\n(J) Highway 61, The Fugitive, Aladdin, The Lion King, Short Circuit 2\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:073", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Terminator, The Pawnbroker, The Pink Panther, Indiana Jones and the Temple of Doom, Star Wars Episode V - The Empire Strikes Back\n(B) Wayne's World, Raiders of the Lost Ark, Star Wars Episode V - The Empire Strikes Back, Indiana Jones and the Temple of Doom, The Pink Panther\n(C) Wayne's World, The Pink Panther, The Terminator, Raiders of the Lost Ark, Star Wars Episode V - The Empire Strikes Back\n(D) Wayne's World, Indiana Jones and the Temple of Doom, Raiders of the Lost Ark, Star Wars Episode V - The Empire Strikes Back, The Terminator\n(E) Wayne's World, The Pink Panther, The Terminator, The Pawnbroker, Star Wars Episode V - The Empire Strikes Back\n(F) The Pink Panther, The Pawnbroker, The Terminator, Nixon, Star Wars Episode V - The Empire Strikes Back\n(G) The Pink Panther, Indiana Jones and the Temple of Doom, Nixon, The Pawnbroker, Raiders of the Lost Ark\n(H) The Terminator, Nixon, Indiana Jones and the Temple of Doom, Star Wars Episode V - The Empire Strikes Back, Raiders of the Lost Ark\n(I) Star Wars Episode V - The Empire Strikes Back, The Pawnbroker, Indiana Jones and the Temple of Doom, Wayne's World, Raiders of the Lost Ark\n(J) The Pawnbroker, Indiana Jones and the Temple of Doom, Raiders of the Lost Ark, The Terminator, Star Wars Episode V - The Empire Strikes Back\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:076", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Crimson Tide, Best Men, A Very Harold & Kumar 3D Christmas, The Shawshank Redemption, The Usual Suspects\n(B) The Shawshank Redemption, 3000 Miles to Graceland, A Very Harold & Kumar 3D Christmas, Crimson Tide, Best Men\n(C) Crimson Tide, The Shawshank Redemption, Braveheart, The Usual Suspects, Dances with Wolves\n(D) A Very Harold & Kumar 3D Christmas, Best Men, Crimson Tide, The Usual Suspects, Dances with Wolves\n(E) 3000 Miles to Graceland, The Shawshank Redemption, Best Men, Crimson Tide, Braveheart\n(F) Braveheart, Best Men, Dances with Wolves, Crimson Tide, A Very Harold & Kumar 3D Christmas\n(G) Dances with Wolves, 3000 Miles to Graceland, The Usual Suspects, The Shawshank Redemption, Braveheart\n(H) Best Men, Crimson Tide, The Usual Suspects, 3000 Miles to Graceland, Braveheart\n(I) A Very Harold & Kumar 3D Christmas, Crimson Tide, The Usual Suspects, Braveheart, 3000 Miles to Graceland\n(J) A Very Harold & Kumar 3D Christmas, 3000 Miles to Graceland, Best Men, The Usual Suspects, Braveheart\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:077", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Usual Suspects, Interview with the Vampire The Vampire Chronicles, The Fugitive, Anger Management, The Shawshank Redemption\n(B) Caligula, The Fugitive, The Usual Suspects, Mommy, Anger Management\n(C) Pulp Fiction, The Usual Suspects, Interview with the Vampire The Vampire Chronicles, The Shawshank Redemption, The Fugitive\n(D) The Shawshank Redemption, Pulp Fiction, Caligula, The Usual Suspects, Mommy\n(E) Interview with the Vampire The Vampire Chronicles, Caligula, Mommy, The Shawshank Redemption, The Fugitive\n(F) The Shawshank Redemption, The Fugitive, Mommy, Pulp Fiction, Interview with the Vampire The Vampire Chronicles\n(G) Anger Management, The Shawshank Redemption, The Fugitive, Mommy, The Usual Suspects\n(H) Anger Management, The Shawshank Redemption, The Fugitive, Pulp Fiction, Interview with the Vampire The Vampire Chronicles\n(I) Mommy, Interview with the Vampire The Vampire Chronicles, Caligula, The Fugitive, Anger Management\n(J) Mommy, Caligula, Interview with the Vampire The Vampire Chronicles, Pulp Fiction, Anger Management\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:080", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Village, Forrest Gump, The Silence of the Lambs, The Brice Man, The Shawshank Redemption\n(B) Laputa Castle in the Sky, Bone Tomahawk, The Village, Pulp Fiction, The Shawshank Redemption\n(C) The Shawshank Redemption, Laputa Castle in the Sky, The Silence of the Lambs, Pulp Fiction, Forrest Gump\n(D) The Village, The Shawshank Redemption, The Brice Man, Forrest Gump, Bone Tomahawk\n(E) Forrest Gump, Laputa Castle in the Sky, The Brice Man, The Silence of the Lambs, The Village\n(F) Laputa Castle in the Sky, The Shawshank Redemption, Bone Tomahawk, The Silence of the Lambs, The Brice Man\n(G) The Silence of the Lambs, The Village, The Brice Man, Pulp Fiction, Laputa Castle in the Sky\n(H) Forrest Gump, The Brice Man, Laputa Castle in the Sky, Bone Tomahawk, The Village\n(I) The Silence of the Lambs, Pulp Fiction, Laputa Castle in the Sky, The Brice Man, The Shawshank Redemption\n(J) The Village, The Shawshank Redemption, Laputa Castle in the Sky, Pulp Fiction, Forrest Gump\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:083", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Fugitive, Independence Day, Fargo, Scratch, Heat\n(B) Harley Davidson and the Marlboro Man, Scratch, Fargo, Forrest Gump, The Fugitive\n(C) Scratch, Heat, Harley Davidson and the Marlboro Man, Comic-Con Episode IV A Fan's Hope, Forrest Gump\n(D) Harley Davidson and the Marlboro Man, The Fugitive, Scratch, Comic-Con Episode IV A Fan's Hope, Fargo\n(E) The Fugitive, Heat, Comic-Con Episode IV A Fan's Hope, Forrest Gump, Independence Day\n(F) Forrest Gump, Heat, Independence Day, The Fugitive, Fargo\n(G) Harley Davidson and the Marlboro Man, Scratch, Fargo, Forrest Gump, Comic-Con Episode IV A Fan's Hope\n(H) Fargo, Heat, Forrest Gump, Independence Day, Comic-Con Episode IV A Fan's Hope\n(I) Comic-Con Episode IV A Fan's Hope, Fargo, Heat, The Fugitive, Scratch\n(J) Heat, Harley Davidson and the Marlboro Man, Comic-Con Episode IV A Fan's Hope, Scratch, Fargo\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:085", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Frankenstein Unbound, Clear and Present Danger, Jon Stewart Has Left the Building, Little Giants, The Shawshank Redemption\n(B) The Shawshank Redemption, Apollo 13, Clear and Present Danger, Terminator 2 Judgment Day, Dead Man Walking\n(C) Apollo 13, Frankenstein Unbound, Clear and Present Danger, Dead Man Walking, Terminator 2 Judgment Day\n(D) Dead Man Walking, Clear and Present Danger, The Shawshank Redemption, Little Giants, Frankenstein Unbound\n(E) Apollo 13, Frankenstein Unbound, Terminator 2 Judgment Day, The Shawshank Redemption, Little Giants\n(F) Apollo 13, Frankenstein Unbound, Terminator 2 Judgment Day, Clear and Present Danger, The Shawshank Redemption\n(G) The Shawshank Redemption, Dead Man Walking, Little Giants, Clear and Present Danger, Apollo 13\n(H) Frankenstein Unbound, Dead Man Walking, Clear and Present Danger, Jon Stewart Has Left the Building, The Shawshank Redemption\n(I) The Shawshank Redemption, Clear and Present Danger, Terminator 2 Judgment Day, Dead Man Walking, Jon Stewart Has Left the Building\n(J) Little Giants, Terminator 2 Judgment Day, Frankenstein Unbound, Jon Stewart Has Left the Building, Apollo 13\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:090", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Stunt Man, Super Mario Bros, The Fugitive, Toy Story, Terminator 2 Judgment Day\n(B) Terminator 2 Judgment Day, Super Mario Bros, The Lion King, Black Mirror, The Stunt Man\n(C) Terminator 2 Judgment Day, Aladdin, Black Mirror, The Lion King, Super Mario Bros\n(D) The Stunt Man, Black Mirror, The Fugitive, Toy Story, Super Mario Bros\n(E) The Lion King, Aladdin, Super Mario Bros, The Fugitive, Toy Story\n(F) The Lion King, Aladdin, Super Mario Bros, Toy Story, The Stunt Man\n(G) Toy Story, Terminator 2 Judgment Day, The Lion King, Aladdin, The Fugitive\n(H) Terminator 2 Judgment Day, The Stunt Man, Aladdin, Toy Story, Black Mirror\n(I) Black Mirror, Aladdin, Super Mario Bros, The Fugitive, The Stunt Man\n(J) Aladdin, The Fugitive, The Stunt Man, The Lion King, Toy Story\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:091", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Joe's Apartment, Pulp Fiction, Forrest Gump, Raiders of the Lost Ark, Inception\n(B) Raiders of the Lost Ark, Firestarter, Joe's Apartment, Trail of the Pink Panther, Inception\n(C) Pulp Fiction, The Matrix, Forrest Gump, Inception, Firestarter\n(D) The Matrix, Joe's Apartment, Inception, Forrest Gump, Raiders of the Lost Ark\n(E) Trail of the Pink Panther, Joe's Apartment, Raiders of the Lost Ark, The Matrix, Pulp Fiction\n(F) Trail of the Pink Panther, The Matrix, Raiders of the Lost Ark, Joe's Apartment, Inception\n(G) Raiders of the Lost Ark, Pulp Fiction, Forrest Gump, The Matrix, Inception\n(H) Joe's Apartment, Trail of the Pink Panther, The Matrix, Firestarter, Inception\n(I) Trail of the Pink Panther, The Matrix, Firestarter, Pulp Fiction, Joe's Apartment\n(J) The Matrix, Pulp Fiction, Forrest Gump, Inception, Joe's Apartment\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:092", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Babe, Pretty Woman, Game of Death, What We Do in the Shadows, Eastern Promises\n(B) Pretty Woman, Batman, What We Do in the Shadows, The Mask, Eastern Promises\n(C) Game of Death, The Mask, Batman, Eastern Promises, The Fugitive\n(D) Batman, The Fugitive, Eastern Promises, Pretty Woman, Babe\n(E) Pretty Woman, The Fugitive, Game of Death, Eastern Promises, What We Do in the Shadows\n(F) What We Do in the Shadows, Pretty Woman, Batman, Eastern Promises, The Fugitive\n(G) Pretty Woman, Babe, The Fugitive, Batman, The Mask\n(H) Batman, Pretty Woman, Game of Death, What We Do in the Shadows, The Fugitive\n(I) Eastern Promises, The Fugitive, Pretty Woman, What We Do in the Shadows, The Mask\n(J) Eastern Promises, Game of Death, Pretty Woman, Batman, The Mask\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:094", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) X-Men, Forrest Gump, Remember Me, Fast & Furious, Train to Busan\n(B) Planet of the Apes, Fast & Furious, Train to Busan, Remember Me, Forrest Gump\n(C) Independence Day, Train to Busan, X-Men, Planet of the Apes, Fast & Furious\n(D) Planet of the Apes, Fast & Furious, X-Men, Train to Busan, Remember Me\n(E) Planet of the Apes, Forrest Gump, X-Men, Train to Busan, The Terminator\n(F) Planet of the Apes, Independence Day, Fast & Furious, Train to Busan, The Terminator\n(G) Train to Busan, Planet of the Apes, Independence Day, The Terminator, X-Men\n(H) Forrest Gump, Independence Day, Remember Me, X-Men, Train to Busan\n(I) Remember Me, X-Men, The Terminator, Forrest Gump, Independence Day\n(J) Independence Day, X-Men, The Terminator, Planet of the Apes, Forrest Gump\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:097", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Batman, Schindler's List, King Kong, Crimes and Misdemeanors, Gorillas in the Mist\n(B) Gorillas in the Mist, Braveheart, Crimes and Misdemeanors, Schindler's List, Dances with Wolves\n(C) Gorillas in the Mist, Dances with Wolves, Braveheart, Batman, Schindler's List\n(D) Braveheart, Apollo 13, Gorillas in the Mist, Dances with Wolves, Batman\n(E) Schindler's List, King Kong, Braveheart, Dances with Wolves, Gorillas in the Mist\n(F) King Kong, Schindler's List, Batman, Braveheart, Crimes and Misdemeanors\n(G) Braveheart, Dances with Wolves, Batman, Schindler's List, Apollo 13\n(H) Gorillas in the Mist, Braveheart, Batman, Schindler's List, Apollo 13\n(I) Gorillas in the Mist, King Kong, Crimes and Misdemeanors, Braveheart, Schindler's List\n(J) Batman, Braveheart, Dances with Wolves, Apollo 13, King Kong\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:098", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Mortal Kombat The Journey Begins, Léon The Professional, Pulp Fiction, Kill Bill Vol 2, The Godfather\n(B) Léon The Professional, Kill Bill Vol 2, The Godfather, Pulp Fiction, Requiem for a Dream\n(C) Pulp Fiction, The Godfather, Sin Nombre, Pushing Hands, Léon The Professional\n(D) Kill Bill Vol 2, The Godfather, Sin Nombre, Mortal Kombat The Journey Begins, Pushing Hands\n(E) Sin Nombre, Mortal Kombat The Journey Begins, Kill Bill Vol 2, Léon The Professional, The Godfather\n(F) Pulp Fiction, Pushing Hands, Sin Nombre, Léon The Professional, Requiem for a Dream\n(G) Sin Nombre, Pushing Hands, Mortal Kombat The Journey Begins, Pulp Fiction, The Godfather\n(H) Pushing Hands, Mortal Kombat The Journey Begins, The Godfather, Sin Nombre, Requiem for a Dream\n(I) Mortal Kombat The Journey Begins, Requiem for a Dream, Kill Bill Vol 2, Léon The Professional, Sin Nombre\n(J) Pushing Hands, The Godfather, Mortal Kombat The Journey Begins, Pulp Fiction, Kill Bill Vol 2\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:100", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) It Runs in the Family, Mr Holland's Opus, Stargate, The Usual Suspects, Anomalisa\n(B) It Runs in the Family, Stargate, Mr Holland's Opus, Dances with Wolves, The Usual Suspects\n(C) It Runs in the Family, Mr Holland's Opus, Ride with the Devil, Anomalisa, Get Shorty\n(D) It Runs in the Family, The Usual Suspects, Get Shorty, Dances with Wolves, Stargate\n(E) Dances with Wolves, The Usual Suspects, Ride with the Devil, Mr Holland's Opus, Stargate\n(F) Dances with Wolves, Stargate, Get Shorty, The Usual Suspects, Ride with the Devil\n(G) Mr Holland's Opus, Dances with Wolves, Anomalisa, Get Shorty, The Usual Suspects\n(H) Ride with the Devil, Anomalisa, Mr Holland's Opus, Stargate, Get Shorty\n(I) Ride with the Devil, The Usual Suspects, Stargate, Anomalisa, Mr Holland's Opus\n(J) The Usual Suspects, Dances with Wolves, Mr Holland's Opus, Stargate, Get Shorty\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:106", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Bridget Jones's Diary, The Double Life of Veronique, Terminator 2 Judgment Day, The Lion King, Schindler's List\n(B) The Double Life of Veronique, Aladdin, The Lion King, Schindler's List, Terminator 2 Judgment Day\n(C) Bridget Jones's Diary, The Shawshank Redemption, Schindler's List, Aladdin, Terminator 2 Judgment Day\n(D) The Shawshank Redemption, Bridget Jones's Diary, Schindler's List, Terminator 2 Judgment Day, The Lion King\n(E) The Double Life of Veronique, Schindler's List, The Lion King, Cujo, The Shawshank Redemption\n(F) The Shawshank Redemption, Bridget Jones's Diary, The Lion King, Terminator 2 Judgment Day, Aladdin\n(G) Aladdin, Bridget Jones's Diary, The Lion King, The Double Life of Veronique, Cujo\n(H) Bridget Jones's Diary, The Lion King, The Double Life of Veronique, The Shawshank Redemption, Schindler's List\n(I) Aladdin, Cujo, Terminator 2 Judgment Day, The Lion King, Bridget Jones's Diary\n(J) Terminator 2 Judgment Day, The Shawshank Redemption, The Lion King, Aladdin, Schindler's List\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:113", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) LA Confidential, PS I Love You, Star Wars Episode IV - A New Hope, The Lord of the Rings The Return of the King, Star Wars Episode V - The Empire Strikes Back\n(B) The Lord of the Rings The Return of the King, Star Wars Episode IV - A New Hope, Let It Ride, Boyz N the Hood, PS I Love You\n(C) Let It Ride, The Usual Suspects, Star Wars Episode IV - A New Hope, LA Confidential, Star Wars Episode V - The Empire Strikes Back\n(D) Let It Ride, Star Wars Episode IV - A New Hope, The Lord of the Rings The Return of the King, Star Wars Episode V - The Empire Strikes Back, LA Confidential\n(E) The Usual Suspects, Boyz N the Hood, Star Wars Episode IV - A New Hope, PS I Love You, Star Wars Episode V - The Empire Strikes Back\n(F) The Usual Suspects, The Lord of the Rings The Return of the King, Star Wars Episode V - The Empire Strikes Back, PS I Love You, Star Wars Episode IV - A New Hope\n(G) PS I Love You, Let It Ride, The Usual Suspects, Boyz N the Hood, The Lord of the Rings The Return of the King\n(H) Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope, LA Confidential, The Usual Suspects, Boyz N the Hood\n(I) Let It Ride, PS I Love You, LA Confidential, Boyz N the Hood, The Usual Suspects\n(J) The Usual Suspects, The Lord of the Rings The Return of the King, Star Wars Episode V - The Empire Strikes Back, LA Confidential, Star Wars Episode IV - A New Hope\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:115", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Shawshank Redemption, Nina's Heavenly Delights, American Pie Presents The Book of Love, Aladdin, Terminator 2 Judgment Day\n(B) American Pie Presents The Book of Love, The Shawshank Redemption, Terminator 2 Judgment Day, The Lion King, Aladdin\n(C) The Lion King, The Recruit, Aladdin, Schindler's List, The Shawshank Redemption\n(D) Aladdin, The Lion King, Schindler's List, American Pie Presents The Book of Love, Terminator 2 Judgment Day\n(E) American Pie Presents The Book of Love, Schindler's List, Terminator 2 Judgment Day, The Shawshank Redemption, The Recruit\n(F) American Pie Presents The Book of Love, The Shawshank Redemption, Terminator 2 Judgment Day, The Lion King, Nina's Heavenly Delights\n(G) Terminator 2 Judgment Day, Nina's Heavenly Delights, The Shawshank Redemption, Aladdin, Schindler's List\n(H) Terminator 2 Judgment Day, Aladdin, The Lion King, The Shawshank Redemption, Schindler's List\n(I) The Recruit, Schindler's List, The Lion King, American Pie Presents The Book of Love, Nina's Heavenly Delights\n(J) Nina's Heavenly Delights, The Recruit, The Lion King, Aladdin, The Shawshank Redemption\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:117", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Green Mile, Saving Private Ryan, Gladiator, Alex and Emma, The Matrix\n(B) The Terrorist, Gattaca, Saving Private Ryan, Alex and Emma, 49 Up\n(C) The Terrorist, Saving Private Ryan, Gladiator, The Matrix, 49 Up\n(D) The Terrorist, Saving Private Ryan, The Matrix, 49 Up, Gattaca\n(E) The Terrorist, 49 Up, The Matrix, Alex and Emma, The Green Mile\n(F) Gladiator, Saving Private Ryan, The Matrix, The Terrorist, Gattaca\n(G) Saving Private Ryan, Gladiator, Gattaca, The Matrix, The Green Mile\n(H) Gattaca, The Green Mile, The Terrorist, Gladiator, Alex and Emma\n(I) Gattaca, The Green Mile, Gladiator, 49 Up, The Matrix\n(J) Alex and Emma, Saving Private Ryan, 49 Up, The Terrorist, Gladiator\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:118", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Raiders of the Lost Ark, Gladiator, Le Samouraï, Birdman of Alcatraz, The Matrix\n(B) The Fifth Element, Raiders of the Lost Ark, Le Samouraï, Imagine That, The Matrix\n(C) Raiders of the Lost Ark, Gattaca, Le Samouraï, Birdman of Alcatraz, The Fifth Element\n(D) The Fifth Element, Le Samouraï, The Matrix, Gattaca, Imagine That\n(E) Raiders of the Lost Ark, The Fifth Element, The Matrix, Le Samouraï, Gattaca\n(F) Gladiator, The Matrix, Imagine That, Birdman of Alcatraz, Gattaca\n(G) Raiders of the Lost Ark, Le Samouraï, Imagine That, Birdman of Alcatraz, The Fifth Element\n(H) Raiders of the Lost Ark, Le Samouraï, Gladiator, Gattaca, The Fifth Element\n(I) Le Samouraï, Raiders of the Lost Ark, Gladiator, Birdman of Alcatraz, The Fifth Element\n(J) The Matrix, The Fifth Element, Gattaca, Raiders of the Lost Ark, Gladiator\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:125", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Alex and Emma, Raiders of the Lost Ark, The Matrix, Saving Private Ryan, Inception\n(B) Tin Cup, Saving Private Ryan, Raiders of the Lost Ark, The Emperor and the Assassin, Inception\n(C) The Matrix, Tin Cup, Saving Private Ryan, The Emperor and the Assassin, Inception\n(D) The Matrix, Tin Cup, Inception, Alex and Emma, The Emperor and the Assassin\n(E) The Emperor and the Assassin, Raiders of the Lost Ark, Saving Private Ryan, Tin Cup, The Matrix\n(F) Inception, Tin Cup, The Matrix, Saving Private Ryan, Alex and Emma\n(G) Saving Private Ryan, Tin Cup, Alex and Emma, Raiders of the Lost Ark, Inception\n(H) The Emperor and the Assassin, The Matrix, Alex and Emma, Raiders of the Lost Ark, Tin Cup\n(I) The Matrix, Raiders of the Lost Ark, Alex and Emma, Gladiator, Inception\n(J) Raiders of the Lost Ark, The Matrix, Saving Private Ryan, Gladiator, Inception\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:126", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Professional, A Night to Remember, Kinsey, The Swan Princess, Léon The Professional\n(B) Léon The Professional, One Flew Over the Cuckoo's Nest, Kinsey, The Professional, Goodfellas\n(C) One Flew Over the Cuckoo's Nest, The Swan Princess, Rear Window, Léon The Professional, Goodfellas\n(D) One Flew Over the Cuckoo's Nest, A Night to Remember, The Swan Princess, Goodfellas, Kinsey\n(E) Rear Window, Léon The Professional, Kinsey, One Flew Over the Cuckoo's Nest, A Night to Remember\n(F) Kinsey, The Swan Princess, A Night to Remember, Rear Window, The Professional\n(G) The Professional, Rear Window, Kinsey, The Swan Princess, Goodfellas\n(H) Léon The Professional, One Flew Over the Cuckoo's Nest, The Professional, Goodfellas, Rear Window\n(I) One Flew Over the Cuckoo's Nest, Léon The Professional, A Night to Remember, Kinsey, The Professional\n(J) A Night to Remember, Léon The Professional, The Swan Princess, Rear Window, Kinsey\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:127", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Usual Suspects, Pulp Fiction, The Sign of Four, Star Wars Episode VI - Return of the Jedi, Go\n(B) Pulp Fiction, Star Wars Episode VI - Return of the Jedi, The Hunt for Red October, Marauders, The Usual Suspects\n(C) Go, Star Wars Episode VI - Return of the Jedi, Pulp Fiction, Auto Focus, The Hunt for Red October\n(D) The Sign of Four, The Hunt for Red October, The Usual Suspects, Auto Focus, Star Wars Episode VI - Return of the Jedi\n(E) Marauders, Star Wars Episode VI - Return of the Jedi, The Usual Suspects, Go, Pulp Fiction\n(F) Star Wars Episode VI - Return of the Jedi, The Sign of Four, Go, The Usual Suspects, Marauders\n(G) Go, Marauders, The Sign of Four, Auto Focus, Star Wars Episode VI - Return of the Jedi\n(H) The Hunt for Red October, The Usual Suspects, Go, The Sign of Four, Marauders\n(I) The Usual Suspects, Go, Star Wars Episode VI - Return of the Jedi, Pulp Fiction, The Hunt for Red October\n(J) Auto Focus, The Hunt for Red October, Pulp Fiction, Marauders, The Sign of Four\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:128", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Schindler's List, Primary Colors, Interstate 60, The Fugitive, Careful What You Wish For\n(B) The Shawshank Redemption, Schindler's List, The Mask, Interstate 60, The Fugitive\n(C) The Fugitive, Primary Colors, Careful What You Wish For, Braveheart, Interstate 60\n(D) Primary Colors, The Mask, Braveheart, Interstate 60, The Shawshank Redemption\n(E) Careful What You Wish For, Primary Colors, The Mask, Schindler's List, Interstate 60\n(F) Braveheart, The Fugitive, The Shawshank Redemption, The Mask, Interstate 60\n(G) The Fugitive, Braveheart, Schindler's List, The Mask, The Shawshank Redemption\n(H) Braveheart, The Mask, The Shawshank Redemption, Schindler's List, Interstate 60\n(I) Braveheart, Careful What You Wish For, The Fugitive, The Shawshank Redemption, Schindler's List\n(J) Primary Colors, The Mask, The Shawshank Redemption, The Fugitive, Braveheart\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:130", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Children of the Corn III, Jurassic Park, The Burrowers, Hood of Horror, The Fugitive\n(B) Braveheart, Hood of Horror, The Burrowers, The Fugitive, Children of the Corn III\n(C) Forrest Gump, Jurassic Park, Braveheart, The Fugitive, Children of the Corn III\n(D) Braveheart, The Silence of the Lambs, Hood of Horror, Forrest Gump, The Burrowers\n(E) Braveheart, Forrest Gump, Hood of Horror, The Fugitive, Jurassic Park\n(F) The Silence of the Lambs, Forrest Gump, Braveheart, The Fugitive, Jurassic Park\n(G) Braveheart, The Silence of the Lambs, Children of the Corn III, Hood of Horror, Forrest Gump\n(H) The Silence of the Lambs, The Burrowers, Jurassic Park, Children of the Corn III, Hood of Horror\n(I) The Silence of the Lambs, The Burrowers, Forrest Gump, Hood of Horror, Jurassic Park\n(J) The Burrowers, Hood of Horror, Children of the Corn III, The Silence of the Lambs, Braveheart\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:131", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Ruby Red, Pulp Fiction, Dances with Wolves, Schindler's List, The Shawshank Redemption\n(B) The Shawshank Redemption, Ruby Red, Pulp Fiction, Candleshoe, Sound of the Mountain\n(C) Ruby Red, Pulp Fiction, Schindler's List, Braveheart, Dances with Wolves\n(D) Braveheart, Candleshoe, Ruby Red, Schindler's List, Sound of the Mountain\n(E) The Shawshank Redemption, Pulp Fiction, Dances with Wolves, Schindler's List, Braveheart\n(F) Sound of the Mountain, Ruby Red, Candleshoe, Braveheart, The Shawshank Redemption\n(G) Dances with Wolves, The Shawshank Redemption, Pulp Fiction, Ruby Red, Candleshoe\n(H) Schindler's List, Candleshoe, Ruby Red, Pulp Fiction, Braveheart\n(I) Candleshoe, Sound of the Mountain, Ruby Red, Dances with Wolves, Schindler's List\n(J) Candleshoe, Pulp Fiction, Sound of the Mountain, Braveheart, Ruby Red\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:137", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) In July, Black Snake Moan, Heartbreaker, The Shawshank Redemption, Pretty Woman\n(B) Pretty Woman, In July, The Shawshank Redemption, Black Snake Moan, Apollo 13\n(C) Pretty Woman, Dances with Wolves, Black Snake Moan, The Shawshank Redemption, Apollo 13\n(D) Dances with Wolves, Pretty Woman, Schindler's List, Apollo 13, The Shawshank Redemption\n(E) Heartbreaker, Apollo 13, Black Snake Moan, In July, Dances with Wolves\n(F) The Shawshank Redemption, Dances with Wolves, In July, Schindler's List, Black Snake Moan\n(G) Black Snake Moan, Apollo 13, In July, Schindler's List, Dances with Wolves\n(H) Apollo 13, The Shawshank Redemption, Heartbreaker, Black Snake Moan, Pretty Woman\n(I) Schindler's List, Pretty Woman, In July, Heartbreaker, Black Snake Moan\n(J) The Shawshank Redemption, Schindler's List, Apollo 13, Dances with Wolves, Black Snake Moan\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:141", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Monty Python and the Holy Grail, The Usual Suspects, The Godfather, Mogambo, Big Daddy\n(B) The Usual Suspects, Big Daddy, Kiss Kiss Bang Bang, Goodfellas, Mogambo\n(C) Monty Python and the Holy Grail, Mogambo, Goodfellas, The Usual Suspects, The Godfather\n(D) Pulp Fiction, The Usual Suspects, Monty Python and the Holy Grail, The Godfather, Goodfellas\n(E) Big Daddy, Pulp Fiction, The Godfather, The Usual Suspects, Monty Python and the Holy Grail\n(F) Big Daddy, The Godfather, Goodfellas, Pulp Fiction, The Usual Suspects\n(G) Goodfellas, Monty Python and the Holy Grail, The Godfather, Big Daddy, Pulp Fiction\n(H) The Godfather, Big Daddy, Monty Python and the Holy Grail, Goodfellas, Mogambo\n(I) Mogambo, Big Daddy, Monty Python and the Holy Grail, Goodfellas, Kiss Kiss Bang Bang\n(J) Mogambo, The Usual Suspects, Pulp Fiction, Kiss Kiss Bang Bang, Big Daddy\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:143", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Tape, The Silence of the Lambs, Raiders of the Lost Ark, Stardust, Groundhog Day\n(B) Raiders of the Lost Ark, Stardust, Gettysburg, The Princess Bride, Tape\n(C) Fargo, Tape, Stardust, Raiders of the Lost Ark, Gettysburg\n(D) Stardust, The Silence of the Lambs, Raiders of the Lost Ark, Fargo, Gettysburg\n(E) Fargo, Groundhog Day, The Princess Bride, The Silence of the Lambs, Gettysburg\n(F) Stardust, Gettysburg, Tape, Fargo, The Silence of the Lambs\n(G) Groundhog Day, The Silence of the Lambs, The Princess Bride, Raiders of the Lost Ark, Fargo\n(H) Groundhog Day, Fargo, The Silence of the Lambs, The Princess Bride, Stardust\n(I) Fargo, The Princess Bride, Tape, Raiders of the Lost Ark, Groundhog Day\n(J) Tape, The Silence of the Lambs, The Princess Bride, Gettysburg, Stardust\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:146", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Terminator 2 Judgment Day, Daddy Day Camp, Untitled Spider-Man Reboot, The Edge of Love, Toy Story\n(B) The Fugitive, Toy Story, Untitled Spider-Man Reboot, Terminator 2 Judgment Day, The Lion King\n(C) The Edge of Love, The Fugitive, Daddy Day Camp, Untitled Spider-Man Reboot, The Lion King\n(D) Untitled Spider-Man Reboot, Terminator 2 Judgment Day, The Edge of Love, Daddy Day Camp, The Fugitive\n(E) The Lion King, The Fugitive, Toy Story, The Edge of Love, Daddy Day Camp\n(F) Aladdin, Untitled Spider-Man Reboot, The Lion King, The Edge of Love, Toy Story\n(G) Untitled Spider-Man Reboot, Toy Story, The Fugitive, Aladdin, Daddy Day Camp\n(H) Terminator 2 Judgment Day, Daddy Day Camp, The Lion King, Aladdin, Toy Story\n(I) The Lion King, The Edge of Love, Toy Story, Terminator 2 Judgment Day, The Fugitive\n(J) The Lion King, Terminator 2 Judgment Day, Aladdin, The Fugitive, Toy Story\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:147", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Up, Raiders of the Lost Ark, The Matrix, Star Wars Episode IV - A New Hope, Inception\n(B) White Christmas, Up, Ernest Rides Again, Inception, The Matrix\n(C) White Christmas, Ernest Rides Again, The Matrix, Attack of the Killer Tomatoes!, Inception\n(D) Attack of the Killer Tomatoes!, Star Wars Episode IV - A New Hope, White Christmas, The Matrix, Ernest Rides Again\n(E) Ernest Rides Again, Raiders of the Lost Ark, White Christmas, Star Wars Episode IV - A New Hope, Inception\n(F) Ernest Rides Again, Star Wars Episode IV - A New Hope, Up, Inception, White Christmas\n(G) Star Wars Episode IV - A New Hope, Ernest Rides Again, Up, Raiders of the Lost Ark, Inception\n(H) Star Wars Episode IV - A New Hope, Attack of the Killer Tomatoes!, Ernest Rides Again, The Matrix, Up\n(I) Inception, Attack of the Killer Tomatoes!, Ernest Rides Again, White Christmas, Star Wars Episode IV - A New Hope\n(J) Raiders of the Lost Ark, Ernest Rides Again, Inception, Up, Attack of the Killer Tomatoes!\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:152", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Evolution, Fight Club, Sorority House Massacre, Memento, Kill Bill Vol 1\n(B) Evolution, Fight Club, Kill Bill Vol 1, Memento, Kill Bill Vol 2\n(C) The Shawshank Redemption, Evolution, Scooby-Doo Goes Hollywood, Sorority House Massacre, Fight Club\n(D) Kill Bill Vol 2, Evolution, Scooby-Doo Goes Hollywood, Kill Bill Vol 1, Sorority House Massacre\n(E) Memento, Fight Club, Kill Bill Vol 1, The Shawshank Redemption, Kill Bill Vol 2\n(F) Sorority House Massacre, Fight Club, Scooby-Doo Goes Hollywood, Kill Bill Vol 2, Evolution\n(G) Kill Bill Vol 1, Sorority House Massacre, The Shawshank Redemption, Evolution, Scooby-Doo Goes Hollywood\n(H) Fight Club, Evolution, Scooby-Doo Goes Hollywood, Sorority House Massacre, Memento\n(I) Sorority House Massacre, Evolution, Kill Bill Vol 1, Fight Club, Kill Bill Vol 2\n(J) The Shawshank Redemption, Sorority House Massacre, Memento, Kill Bill Vol 2, Evolution\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:156", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Save the Last Dance, The Princess Bride, Being John Malkovich, American Beauty, Trial and Error\n(B) Trial and Error, Star Wars Episode IV - A New Hope, American Beauty, Being John Malkovich, Passion\n(C) Passion, Romancing the Stone, Star Wars Episode IV - A New Hope, American Beauty, The Princess Bride\n(D) American Beauty, The Princess Bride, Save the Last Dance, Star Wars Episode IV - A New Hope, Romancing the Stone\n(E) American Beauty, Star Wars Episode IV - A New Hope, The Princess Bride, Trial and Error, Passion\n(F) The Princess Bride, Romancing the Stone, Passion, Star Wars Episode IV - A New Hope, Being John Malkovich\n(G) Star Wars Episode IV - A New Hope, The Princess Bride, Romancing the Stone, Being John Malkovich, American Beauty\n(H) Romancing the Stone, American Beauty, The Princess Bride, Star Wars Episode IV - A New Hope, Trial and Error\n(I) Star Wars Episode IV - A New Hope, Trial and Error, Save the Last Dance, American Beauty, Being John Malkovich\n(J) American Beauty, Trial and Error, Save the Last Dance, The Princess Bride, Star Wars Episode IV - A New Hope\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:158", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Toy Story, Back to the Future, The Terminator, Star Wars Episode IV - A New Hope, Of Human Bondage\n(B) Star Wars Episode VI - Return of the Jedi, 'night Mother, The Terminator, Of Human Bondage, Star Wars Episode IV - A New Hope\n(C) Of Human Bondage, Back to the Future, Europa, Star Wars Episode IV - A New Hope, Toy Story\n(D) Star Wars Episode VI - Return of the Jedi, Star Wars Episode IV - A New Hope, 'night Mother, Toy Story, Europa\n(E) Europa, Star Wars Episode VI - Return of the Jedi, 'night Mother, Of Human Bondage, Back to the Future\n(F) The Terminator, Star Wars Episode VI - Return of the Jedi, 'night Mother, Europa, Star Wars Episode IV - A New Hope\n(G) Europa, Star Wars Episode VI - Return of the Jedi, Of Human Bondage, Star Wars Episode IV - A New Hope, 'night Mother\n(H) 'night Mother, Europa, The Terminator, Star Wars Episode IV - A New Hope, Of Human Bondage\n(I) Back to the Future, Europa, Toy Story, Star Wars Episode IV - A New Hope, 'night Mother\n(J) Back to the Future, Star Wars Episode VI - Return of the Jedi, Toy Story, Star Wars Episode IV - A New Hope, The Terminator\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:160", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Get Shorty, Mr Holland's Opus, Dances with Wolves, The Usual Suspects, The Prime Gig\n(B) The Usual Suspects, 9 12 Weeks, The Prime Gig, Dances with Wolves, Get Shorty\n(C) Stargate, Mr Holland's Opus, 9 12 Weeks, It Happened One Night, The Prime Gig\n(D) Dances with Wolves, 9 12 Weeks, It Happened One Night, The Prime Gig, Get Shorty\n(E) The Prime Gig, It Happened One Night, Mr Holland's Opus, 9 12 Weeks, Dances with Wolves\n(F) Mr Holland's Opus, The Usual Suspects, It Happened One Night, The Prime Gig, 9 12 Weeks\n(G) Dances with Wolves, Mr Holland's Opus, Get Shorty, The Usual Suspects, Stargate\n(H) It Happened One Night, Mr Holland's Opus, The Usual Suspects, Dances with Wolves, Get Shorty\n(I) It Happened One Night, Stargate, The Usual Suspects, 9 12 Weeks, The Prime Gig\n(J) Dances with Wolves, Get Shorty, The Prime Gig, Stargate, Mr Holland's Opus\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:162", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Star Wars Episode V - The Empire Strikes Back, The Adventures of Sherlock Holmes and Doctor Watson, Forrest Gump, The Lord of the Rings The Two Towers, American Beauty\n(B) The Adventures of Sherlock Holmes and Doctor Watson, Upside Down The Creation Records Story, The Lord of the Rings The Two Towers, Forrest Gump, Waking Life\n(C) Forrest Gump, American Beauty, Star Wars Episode V - The Empire Strikes Back, The Lord of the Rings The Fellowship of the Ring, The Lord of the Rings The Two Towers\n(D) American Beauty, Waking Life, The Lord of the Rings The Fellowship of the Ring, The Adventures of Sherlock Holmes and Doctor Watson, Upside Down The Creation Records Story\n(E) American Beauty, Waking Life, Star Wars Episode V - The Empire Strikes Back, Forrest Gump, The Lord of the Rings The Fellowship of the Ring\n(F) Star Wars Episode V - The Empire Strikes Back, Forrest Gump, Upside Down The Creation Records Story, The Lord of the Rings The Two Towers, American Beauty\n(G) Waking Life, The Lord of the Rings The Two Towers, American Beauty, The Adventures of Sherlock Holmes and Doctor Watson, The Lord of the Rings The Fellowship of the Ring\n(H) The Lord of the Rings The Fellowship of the Ring, The Lord of the Rings The Two Towers, Upside Down The Creation Records Story, Waking Life, Forrest Gump\n(I) American Beauty, Star Wars Episode V - The Empire Strikes Back, The Lord of the Rings The Fellowship of the Ring, Waking Life, Upside Down The Creation Records Story\n(J) Upside Down The Creation Records Story, Forrest Gump, The Adventures of Sherlock Holmes and Doctor Watson, Waking Life, American Beauty\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:163", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Schindler's List, Knockin' on Heaven's Door, Apollo 13, Dances with Wolves, Iron Eagle IV\n(B) Aguirre The Wrath of God, Schindler's List, Knockin' on Heaven's Door, Iron Eagle IV, Apollo 13\n(C) Schindler's List, Knockin' on Heaven's Door, Aguirre The Wrath of God, Iron Eagle IV, The Shawshank Redemption\n(D) Knockin' on Heaven's Door, Pulp Fiction, Schindler's List, The Shawshank Redemption, Aguirre The Wrath of God\n(E) The Shawshank Redemption, Knockin' on Heaven's Door, Pulp Fiction, Schindler's List, Apollo 13\n(F) Pulp Fiction, Dances with Wolves, Aguirre The Wrath of God, Apollo 13, Schindler's List\n(G) The Shawshank Redemption, Iron Eagle IV, Aguirre The Wrath of God, Apollo 13, Pulp Fiction\n(H) Pulp Fiction, The Shawshank Redemption, Iron Eagle IV, Dances with Wolves, Aguirre The Wrath of God\n(I) Aguirre The Wrath of God, Dances with Wolves, Iron Eagle IV, Schindler's List, Pulp Fiction\n(J) Schindler's List, Dances with Wolves, Pulp Fiction, The Shawshank Redemption, Apollo 13\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:166", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Howard the Duck, Rachel Getting Married, Crimson Tide, The Post, Dances with Wolves\n(B) The Shawshank Redemption, Dances with Wolves, Crimson Tide, Braveheart, The Fugitive\n(C) The Shawshank Redemption, Dances with Wolves, Rachel Getting Married, Braveheart, Crimson Tide\n(D) Crimson Tide, Braveheart, Rachel Getting Married, The Post, The Fugitive\n(E) The Shawshank Redemption, The Fugitive, Rachel Getting Married, Crimson Tide, Dances with Wolves\n(F) Rachel Getting Married, Howard the Duck, Dances with Wolves, The Post, Braveheart\n(G) The Fugitive, The Post, The Shawshank Redemption, Braveheart, Crimson Tide\n(H) The Fugitive, Howard the Duck, Rachel Getting Married, Braveheart, The Post\n(I) Crimson Tide, The Post, Dances with Wolves, Braveheart, The Shawshank Redemption\n(J) The Shawshank Redemption, Braveheart, Howard the Duck, The Fugitive, Dances with Wolves\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:167", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Forrest Gump, Dumb & Dumber, Braveheart, Jurassic Park, Gone with the Wind\n(B) Gone with the Wind, The Counterfeiters, Forrest Gump, Schindler's List, Pitfall\n(C) Schindler's List, Jurassic Park, Pitfall, Gone with the Wind, The Counterfeiters\n(D) Braveheart, Jurassic Park, Gone with the Wind, Schindler's List, Forrest Gump\n(E) Forrest Gump, The Counterfeiters, Jurassic Park, Schindler's List, Dumb & Dumber\n(F) Jurassic Park, Dumb & Dumber, Forrest Gump, Braveheart, Schindler's List\n(G) Pitfall, Dumb & Dumber, Forrest Gump, Schindler's List, Braveheart\n(H) Dumb & Dumber, Pitfall, Braveheart, The Counterfeiters, Forrest Gump\n(I) Gone with the Wind, Schindler's List, Pitfall, Dumb & Dumber, Forrest Gump\n(J) Gone with the Wind, Schindler's List, The Counterfeiters, Braveheart, Jurassic Park\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:170", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Terminator, Opera, Highlander The Search for Vengeance, Superman, Austin Powers International Man of Mystery\n(B) Opera, The Terminator, Highlander The Search for Vengeance, Superman, Supergirl\n(C) Star Wars Episode IV - A New Hope, Highlander The Search for Vengeance, American Beauty, Austin Powers International Man of Mystery, Superman\n(D) Supergirl, Star Wars Episode IV - A New Hope, Superman, Austin Powers International Man of Mystery, American Beauty\n(E) Star Wars Episode IV - A New Hope, Superman, American Beauty, Supergirl, The Terminator\n(F) The Terminator, American Beauty, Highlander The Search for Vengeance, Supergirl, Opera\n(G) Supergirl, Austin Powers International Man of Mystery, Opera, Superman, Highlander The Search for Vengeance\n(H) American Beauty, Superman, The Terminator, Supergirl, Opera\n(I) The Terminator, Star Wars Episode IV - A New Hope, Austin Powers International Man of Mystery, American Beauty, Superman\n(J) The Terminator, Star Wars Episode IV - A New Hope, Supergirl, Austin Powers International Man of Mystery, Highlander The Search for Vengeance\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:171", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Shawshank Redemption, The Lion King, Schindler's List, Terminator 2 Judgment Day, Aladdin\n(B) Lilya 4-Ever, Sherlock Jr, Terminator 2 Judgment Day, Aladdin, Iron Man & Hulk Heroes United\n(C) Schindler's List, The Shawshank Redemption, Iron Man & Hulk Heroes United, Lilya 4-Ever, Sherlock Jr\n(D) Aladdin, Schindler's List, Lilya 4-Ever, Iron Man & Hulk Heroes United, The Lion King\n(E) Aladdin, The Shawshank Redemption, Sherlock Jr, Terminator 2 Judgment Day, Schindler's List\n(F) Schindler's List, Iron Man & Hulk Heroes United, Terminator 2 Judgment Day, The Shawshank Redemption, The Lion King\n(G) Aladdin, The Lion King, Sherlock Jr, The Shawshank Redemption, Schindler's List\n(H) The Shawshank Redemption, Sherlock Jr, Iron Man & Hulk Heroes United, Terminator 2 Judgment Day, Lilya 4-Ever\n(I) Terminator 2 Judgment Day, Lilya 4-Ever, Sherlock Jr, Iron Man & Hulk Heroes United, The Lion King\n(J) The Lion King, The Shawshank Redemption, Sherlock Jr, Terminator 2 Judgment Day, Schindler's List\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:173", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Raiders of the Lost Ark, Hector and the Search for Happiness, The Matrix, Inception, The Shawshank Redemption\n(B) Raiders of the Lost Ark, The Matrix, Hector and the Search for Happiness, Inception, Falling Down\n(C) The Matrix, Pulp Fiction, Inception, The Shawshank Redemption, Raiders of the Lost Ark\n(D) Hector and the Search for Happiness, The Shawshank Redemption, Inception, Falling Down, The Matrix\n(E) Inception, Hector and the Search for Happiness, The Shawshank Redemption, The Quiet American, Raiders of the Lost Ark\n(F) The Quiet American, The Matrix, Falling Down, Hector and the Search for Happiness, Inception\n(G) Pulp Fiction, Raiders of the Lost Ark, The Quiet American, The Shawshank Redemption, Inception\n(H) Falling Down, Inception, Hector and the Search for Happiness, The Shawshank Redemption, Pulp Fiction\n(I) The Quiet American, Falling Down, Pulp Fiction, Raiders of the Lost Ark, The Matrix\n(J) Hector and the Search for Happiness, Falling Down, The Matrix, The Quiet American, Pulp Fiction\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:174", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Usual Suspects, Braveheart, Crimson Tide, The Fugitive, Too Many Cooks\n(B) Too Many Cooks, The Usual Suspects, Braveheart, Bandidas, Bad Santa\n(C) The Usual Suspects, Too Many Cooks, Crimson Tide, Dances with Wolves, Bad Santa\n(D) The Fugitive, The Usual Suspects, Crimson Tide, Dances with Wolves, Braveheart\n(E) The Usual Suspects, The Fugitive, Too Many Cooks, Dances with Wolves, Bad Santa\n(F) The Usual Suspects, Bad Santa, The Fugitive, Bandidas, Dances with Wolves\n(G) Crimson Tide, Bad Santa, Dances with Wolves, Bandidas, Too Many Cooks\n(H) Bandidas, Too Many Cooks, The Fugitive, Dances with Wolves, Crimson Tide\n(I) Bad Santa, Bandidas, Crimson Tide, Too Many Cooks, The Usual Suspects\n(J) The Usual Suspects, Bad Santa, Crimson Tide, Braveheart, Dances with Wolves\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:176", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Batman, Forrest Gump, Dragon Ball Z Broly - The Legendary Super Saiyan, Jurassic Park, Independence Day\n(B) One Fine Day, Batman, The Silence of the Lambs, Jurassic Park, Forrest Gump\n(C) Forrest Gump, One Fine Day, Independence Day, Skyline, Jurassic Park\n(D) Skyline, Jurassic Park, One Fine Day, Dragon Ball Z Broly - The Legendary Super Saiyan, The Silence of the Lambs\n(E) The Silence of the Lambs, One Fine Day, Forrest Gump, Independence Day, Batman\n(F) Batman, Dragon Ball Z Broly - The Legendary Super Saiyan, Jurassic Park, Skyline, One Fine Day\n(G) The Silence of the Lambs, Jurassic Park, Independence Day, Batman, Forrest Gump\n(H) Skyline, Dragon Ball Z Broly - The Legendary Super Saiyan, Jurassic Park, The Silence of the Lambs, Forrest Gump\n(I) Forrest Gump, One Fine Day, The Silence of the Lambs, Dragon Ball Z Broly - The Legendary Super Saiyan, Skyline\n(J) Forrest Gump, Batman, Dragon Ball Z Broly - The Legendary Super Saiyan, Independence Day, The Silence of the Lambs\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:178", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Braveheart, Miss Nobody, The Way South, Schindler's List, Dances with Wolves\n(B) The Shawshank Redemption, Dances with Wolves, The Way South, Pulp Fiction, Braveheart\n(C) Pulp Fiction, The Way South, Schindler's List, Braveheart, The Shawshank Redemption\n(D) The Shawshank Redemption, Schindler's List, Dances with Wolves, Miss Nobody, The Way South\n(E) Pulp Fiction, Er ist wieder da, Miss Nobody, The Way South, The Shawshank Redemption\n(F) The Shawshank Redemption, The Way South, Pulp Fiction, Schindler's List, Dances with Wolves\n(G) Er ist wieder da, Schindler's List, Braveheart, Pulp Fiction, The Shawshank Redemption\n(H) Schindler's List, The Shawshank Redemption, Pulp Fiction, Dances with Wolves, Braveheart\n(I) The Way South, Er ist wieder da, Pulp Fiction, Braveheart, Schindler's List\n(J) Miss Nobody, Schindler's List, Pulp Fiction, The Way South, Er ist wieder da\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:181", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Forrest Gump, Max Keeble's Big Move, Jurassic Park, Banana Joe, Shine\n(B) Banana Joe, Die Hard With a Vengeance, Independence Day, Forrest Gump, Jurassic Park\n(C) Shine, Jurassic Park, Die Hard With a Vengeance, Forrest Gump, Max Keeble's Big Move\n(D) Max Keeble's Big Move, The Silence of the Lambs, Independence Day, Jurassic Park, Forrest Gump\n(E) Banana Joe, Max Keeble's Big Move, The Silence of the Lambs, Jurassic Park, Die Hard With a Vengeance\n(F) Independence Day, Jurassic Park, Banana Joe, Die Hard With a Vengeance, The Silence of the Lambs\n(G) Independence Day, Jurassic Park, Die Hard With a Vengeance, Forrest Gump, The Silence of the Lambs\n(H) Shine, The Silence of the Lambs, Forrest Gump, Max Keeble's Big Move, Banana Joe\n(I) Max Keeble's Big Move, Die Hard With a Vengeance, Shine, Forrest Gump, Banana Joe\n(J) Die Hard With a Vengeance, Jurassic Park, Banana Joe, Independence Day, Shine\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:182", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Shawshank Redemption, Forrest Gump, Blackrock, Out Cold, I Shot Jesse James\n(B) Fight Club, Star Wars Episode I - The Phantom Menace, The Shawshank Redemption, Forrest Gump, The Matrix\n(C) The Matrix, Blackrock, I Shot Jesse James, Fight Club, Out Cold\n(D) The Matrix, I Shot Jesse James, Blackrock, Forrest Gump, Out Cold\n(E) I Shot Jesse James, Blackrock, The Shawshank Redemption, The Matrix, Out Cold\n(F) Out Cold, Fight Club, Star Wars Episode I - The Phantom Menace, Blackrock, Forrest Gump\n(G) The Shawshank Redemption, The Matrix, Fight Club, Star Wars Episode I - The Phantom Menace, Out Cold\n(H) Out Cold, Fight Club, Star Wars Episode I - The Phantom Menace, The Shawshank Redemption, Blackrock\n(I) Out Cold, Blackrock, Fight Club, The Matrix, Forrest Gump\n(J) Out Cold, Star Wars Episode I - The Phantom Menace, I Shot Jesse James, Blackrock, The Shawshank Redemption\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:188", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) The Lion King, Aladdin, The Shawshank Redemption, A Night in the Life of Jimmy Reardon, I'll Be Home For Christmas\n(B) The Shawshank Redemption, The Lion King, Schindler's List, Terminator 2 Judgment Day, Lilya 4-Ever\n(C) A Night in the Life of Jimmy Reardon, The Lion King, Lilya 4-Ever, Schindler's List, I'll Be Home For Christmas\n(D) The Shawshank Redemption, Lilya 4-Ever, Aladdin, The Lion King, Terminator 2 Judgment Day\n(E) Schindler's List, Lilya 4-Ever, A Night in the Life of Jimmy Reardon, Terminator 2 Judgment Day, I'll Be Home For Christmas\n(F) Schindler's List, Aladdin, A Night in the Life of Jimmy Reardon, Terminator 2 Judgment Day, Lilya 4-Ever\n(G) The Shawshank Redemption, Schindler's List, I'll Be Home For Christmas, Aladdin, The Lion King\n(H) Aladdin, The Lion King, The Shawshank Redemption, Terminator 2 Judgment Day, Schindler's List\n(I) A Night in the Life of Jimmy Reardon, Terminator 2 Judgment Day, Schindler's List, Aladdin, I'll Be Home For Christmas\n(J) Schindler's List, I'll Be Home For Christmas, Aladdin, The Shawshank Redemption, Lilya 4-Ever\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:190", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Return with Honor, The Maltese Falcon, One Flew Over the Cuckoo's Nest, The Sixth Sense, In the Loop\n(B) The Sixth Sense, Return with Honor, Wallace & Gromit A Close Shave, Reservoir Dogs, The Maltese Falcon\n(C) The Maltese Falcon, The Sixth Sense, One Flew Over the Cuckoo's Nest, Wallace & Gromit A Close Shave, Reservoir Dogs\n(D) Wallace & Gromit A Close Shave, The Maltese Falcon, One Flew Over the Cuckoo's Nest, Feast, Reservoir Dogs\n(E) The Sixth Sense, Reservoir Dogs, The Maltese Falcon, Feast, In the Loop\n(F) Return with Honor, Reservoir Dogs, The Maltese Falcon, Feast, One Flew Over the Cuckoo's Nest\n(G) Feast, The Maltese Falcon, One Flew Over the Cuckoo's Nest, The Sixth Sense, Reservoir Dogs\n(H) Return with Honor, In the Loop, Feast, Wallace & Gromit A Close Shave, Reservoir Dogs\n(I) The Maltese Falcon, Wallace & Gromit A Close Shave, The Sixth Sense, Feast, One Flew Over the Cuckoo's Nest\n(J) Reservoir Dogs, The Sixth Sense, One Flew Over the Cuckoo's Nest, Feast, Wallace & Gromit A Close Shave\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:193", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Léon The Professional, Saw, Josie and the Pussycats, The Meyerowitz Stories, Raiders of the Lost Ark\n(B) The Matrix, Léon The Professional, Raiders of the Lost Ark, Star Wars Episode V - The Empire Strikes Back, The Meyerowitz Stories\n(C) Star Wars Episode IV - A New Hope, Raiders of the Lost Ark, The Meyerowitz Stories, Léon The Professional, The Matrix\n(D) The Meyerowitz Stories, Saw, Star Wars Episode V - The Empire Strikes Back, Star Wars Episode IV - A New Hope, Josie and the Pussycats\n(E) Star Wars Episode IV - A New Hope, Saw, Raiders of the Lost Ark, Josie and the Pussycats, The Meyerowitz Stories\n(F) Star Wars Episode IV - A New Hope, Léon The Professional, Star Wars Episode V - The Empire Strikes Back, Raiders of the Lost Ark, The Matrix\n(G) Léon The Professional, Saw, The Meyerowitz Stories, Josie and the Pussycats, Star Wars Episode V - The Empire Strikes Back\n(H) The Matrix, Raiders of the Lost Ark, Saw, Star Wars Episode V - The Empire Strikes Back, Léon The Professional\n(I) Saw, Star Wars Episode IV - A New Hope, Star Wars Episode V - The Empire Strikes Back, Léon The Professional, The Matrix\n(J) Léon The Professional, The Meyerowitz Stories, Saw, The Matrix, Josie and the Pussycats\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:196", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Pretty Woman, Terminator 2 Judgment Day, The Lion King, The Old Man and the Sea, Batman\n(B) The Mask, 'night Mother, The Old Man and the Sea, Drag Me to Hell, Terminator 2 Judgment Day\n(C) The Old Man and the Sea, The Mask, Pretty Woman, Terminator 2 Judgment Day, 'night Mother\n(D) The Lion King, Pretty Woman, The Old Man and the Sea, Terminator 2 Judgment Day, The Mask\n(E) The Lion King, Batman, Terminator 2 Judgment Day, Pretty Woman, The Mask\n(F) Pretty Woman, The Old Man and the Sea, Terminator 2 Judgment Day, The Mask, Drag Me to Hell\n(G) Drag Me to Hell, The Lion King, Pretty Woman, Terminator 2 Judgment Day, The Old Man and the Sea\n(H) Batman, The Mask, Pretty Woman, The Old Man and the Sea, Terminator 2 Judgment Day\n(I) Batman, The Old Man and the Sea, The Mask, The Lion King, Pretty Woman\n(J) The Old Man and the Sea, Pretty Woman, Batman, 'night Mother, Drag Me to Hell\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:197", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Beverly Hills Cop III, The Shawshank Redemption, The Village, The Fugitive, Pulp Fiction\n(B) The Village, Pulp Fiction, The Shawshank Redemption, Dances with Wolves, Braveheart\n(C) Braveheart, Dances with Wolves, The Shawshank Redemption, The Fugitive, The Village\n(D) Braveheart, The Fugitive, Pulp Fiction, The Village, Dances with Wolves\n(E) Braveheart, The Fugitive, Dances with Wolves, The Shawshank Redemption, Pulp Fiction\n(F) The Shawshank Redemption, Braveheart, Pulp Fiction, The Fugitive, The Village\n(G) The Village, Pulp Fiction, Braveheart, The Fugitive, Bring Me the Head of Alfredo Garcia\n(H) The Fugitive, Braveheart, Beverly Hills Cop III, The Shawshank Redemption, Pulp Fiction\n(I) Dances with Wolves, Braveheart, The Shawshank Redemption, Bring Me the Head of Alfredo Garcia, The Village\n(J) Beverly Hills Cop III, The Village, The Fugitive, Pulp Fiction, Bring Me the Head of Alfredo Garcia\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:movie_recommendation:198", "request": "Which option has more similar movies in terms of whether a group of people will like them or not?\nOptions:\n(A) Pulp Fiction, Forrest Gump, The Shawshank Redemption, The Fugitive, Dances with Wolves\n(B) The City of Women, Avengers Infinity War - Part I, The Shawshank Redemption, The Fugitive, The Man Who Knew Too Much\n(C) Forrest Gump, Pulp Fiction, The City of Women, Avengers Infinity War - Part I, The Fugitive\n(D) The Fugitive, Pulp Fiction, Avengers Infinity War - Part I, Forrest Gump, The Man Who Knew Too Much\n(E) Avengers Infinity War - Part I, The City of Women, Dances with Wolves, The Man Who Knew Too Much, Pulp Fiction\n(F) The Shawshank Redemption, Pulp Fiction, The Man Who Knew Too Much, The City of Women, Forrest Gump\n(G) Forrest Gump, Dances with Wolves, Avengers Infinity War - Part I, The City of Women, The Man Who Knew Too Much\n(H) The Fugitive, Forrest Gump, Pulp Fiction, The City of Women, The Shawshank Redemption\n(I) The City of Women, Avengers Infinity War - Part I, The Man Who Knew Too Much, Pulp Fiction, The Fugitive\n(J) Avengers Infinity War - Part I, Forrest Gump, Dances with Wolves, The Shawshank Redemption, Pulp Fiction\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:003", "request": "Consider the following new operations:\n\n$a ; b$ equals $(a * b)$ if $a + b > 0$; otherwise, it equals $-a * -b$.\n$a ][ b$ equals $(2 ; b) * a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $(a - a) ][ b$ if $b < 2$ and $(b - b) ][ a$ otherwise.\n$a @ b$ equals $(a * b)$ if $a # b > 0$; otherwise, it equals $a ][ b$.\n$a <> b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((-10 +@][ -1) @ 4) <> three) @ -5) ! 7) -@ 7) ;@ -7) <>@ -10) <> -1) <>@ -5) <>+! -1) <>][* 7) *!+ -3) + seven) *; -5) +! -10)\nLet B = (((((((((((-6 @ four) +* ten) ;-! -2) ## five) #][@ 7) #<>@ -9) ; 5) ;+ seven) * 8) @- -5) - 2)\nLet C = (((((((((((seven -;* -2) !;@ -5) ; -3) *;+ 1) ; six) !+! -8) ##<> -3) *<>; eight) -@! 2) - -8) #][! -2).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:006", "request": "Consider the following new operations:\n\n$a # b$ equals $(a * b)$ if $a + b > 0$; otherwise, it equals $-a * -b$.\n$a & b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n$a ~ b$ equals $(a * a) - b$ if $b < 2$ and $(b * b) - a$ otherwise.\n$a ! b$ equals $(2 ~ b) + a$ if $a > b$ and $b$ otherwise.\n$a ; b$ equals $(a - b)$ if $a & b > 0$; otherwise, it equals $a + b$.\n\nLet A = ((((((((((((((-9 - -6) ; 10) ; -5) * -9) ~ -3) ! -8) ; -7) ~ two) ! four) ~ eight) ~ five) - 7) & -4) - -6)\nLet B = ((((((((((((3 - four) # 3) * -5) ! -3) & two) ; -6) + three) ! two) - -8) ! -10) ! 7) * -10)\nLet C = ((((4 - four) - (-7 ; ten)) * ((2 - six) ~ (four # -3))) - (((four ~ 9) # (4 # -1)) & ((-2 - 5) & (-2 ; -8)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:008", "request": "Consider the following new operations:\n\n$a [] b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a & b$ equals $(a [] a) * b$ if $b < 2$ and $(b [] b) * a$ otherwise.\n$a @ b$ equals $(a * b)$ if $a [] b > 0$; otherwise, it equals $-a * -b$.\n$a ; b$ equals $a & b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((six [] -2) - (seven * -6)) * ((-3 - -2) * (5 @ ten))) [] (((-5 + 8) @ (3 - 2)) ; ((two @ eight) & (eight & -8))))\nLet B = ((((four + -7) + (-7 [] one)) ; ((-4 @ nine) * (7 @ -5))) + (((three & -1) & (-2 @ -5)) [] ((one - two) [] (-2 - 7))))\nLet C = ((((((((((((((((((((((three & six) ; 6) * seven) ; -4) @ 7) - -4) + -6) [] -8) + 4) - -6) @ -10) * 9) + 6) ; -2) - -7) ; -3) + 3) @ -9) & -1) & 7) * 2) [] four).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:015", "request": "Consider the following new operations:\n\n$a >< b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(b - a) >< b$ if $|a-b| < 2$ and $(a - b) >< a$ otherwise.\n$a ; b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a ~ b$ equals $(2 ! b) ; a$ if $a > b$ and $b$ otherwise.\n$a & b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((3 &+! 4) !; seven) ><><~ -3) >< 2) -; 10) >< -2) - -6) ~>< -6) ~& seven) ;!~ five) *><; 10) ! 3) -><+ -8) -+ -6) ><* -7) ~; nine)\nLet B = (((((((((((-10 ~~ -1) +;~ one) & ten) ~- -1) *><+ two) ><~>< 5) &-! eight) >< ten) + -9) -;~ -3) ; -9) * ten) >< 6) ~- -1) ><>< two) ;! 8) && seven) ! -4) * 9) +& 5) ~>< -2) ; -5) ;;* -9) ><* -2) +! -1) *~ 4) ~ 7) +>< -8).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:017", "request": "Consider the following new operations:\n\n$a >< b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a # b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $(a # a) * b$ if $b < 2$ and $(b # b) * a$ otherwise.\n$a ~ b$ equals $a ][ b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ; b$ equals $(2 * b) - a$ if $a > b$ and $b$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((four - -10) ++ -6) -~; 1) ~><- 7) ][+ -10) ~><>< 1) >< 3) # 9) *; -6) ][ two) >< -4) *~ six) ><# -9) ++ one) + -2) ;][~ -2)\nLet B = ((((-8 -; -7) ~* (5 ;# 7)) +- ((4 ~; -7) #~; (8 ;* -3))) # (((-5 ][* eight) #; (ten >< seven)) ## ((-9 -+ 4) >< (-10 #~][ seven))))\nLet C = ((((((((((((((((seven ;><# two) ** -6) ;~ four) ][][ 9) ][][# -4) ][~ -1) ][- 10) + -7) ><>< 4) ][~ 2) ][+ -4) * 8) ][;+ 1) ><-; -6) + one) * eight).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:018", "request": "Consider the following new operations:\n\n$a @ b$ equals $(2 * b) - a$ if $a > b$ and $b$ otherwise.\n$a <> b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a >< b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ][ b$ equals $(b @ a) - b$ if $|a-b| < 2$ and $(a @ b) - a$ otherwise.\n\nLet A = (((((((((((((-5 + -10) * six) * -5) + -2) >< -4) * 6) >< -2) ][ two) - -10) * -7) ][ 2) <> -7) ][ six)\nLet B = ((((-5 ][ two) * (-4 * -8)) >< ((9 + -9) <> (2 <> -8))) * (((-2 + 2) * (2 * eight)) * ((six ][ -5) + (-5 <> -6))))\nLet C = ((((((((((((((((((((-7 + 5) - -2) - seven) ][ nine) <> -7) ][ -6) <> six) >< eight) - 5) - -2) * -9) - -7) >< -8) + -4) + 10) @ eight) * 4) <> 5) @ four) - -1).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:021", "request": "Consider the following new operations:\n\n$a >< b$ equals $(a * b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a <> b$ equals $(a >< a) - b$ if $b < 2$ and $(b >< b) - a$ otherwise.\n$a ! b$ equals $(a * b)$ if $a >< b > 0$; otherwise, it equals $-a * -b$.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(b * a) - b$ if $|a-b| < 2$ and $(a * b) - a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((10 >< nine) <>@* (-5 [][] -10)) - ((seven ! 1) @<>* (two @ -5))) -@! (((-3 @! -3) -- (10 []* four)) *!@ ((-1 <> -7) !@@ (eight -- -5))))\nLet B = ((((-7 [] -6) -@ (2 @ -4)) @<>+ ((3 []* -10) ! (nine [] one))) +++ (((10 ! -4) - (six !<>* 10)) ++ ((6 - -10) ><- (-1 + -9))))\nLet C = (((((((((((((((((eight [] -2) @@ 3) [] 6) <> -4) @ 3) [] eight) [][]! -2) ><@ 3) @ six) >< -10) []@ six) @-@ two) @ -9) ->< 8) ><-- -3) <>@ -5) * -5).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:022", "request": "Consider the following new operations:\n\n$a <> b$ equals $(b - a) + b$ if $|a-b| < 2$ and $(a - b) + a$ otherwise.\n$a : b$ equals $(a * b)$ if $a + b > 0$; otherwise, it equals $a - b$.\n$a [] b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a # b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a & b$ equals $(a [] b)$ if $a <> b > 0$; otherwise, it equals $-a [] -b$.\n\nLet A = (((((((((((((((((-5 <> -8) <> -7) # seven) # five) * -1) - -3) [] -1) <> four) : -9) [] -5) # three) * -5) + -7) <> four) : 8) * 4) + -5)\nLet B = ((((-1 : -8) + (-4 [] -5)) [] ((-2 : -7) & (4 : three))) * (((1 <> 9) * (-10 [] -10)) : ((-1 * -9) & (ten # -6))))\nLet C = ((((-1 * -7) # (9 * nine)) + ((-6 + -2) [] (9 # -9))) : (((-2 [] ten) + (2 # -6)) * ((ten : 4) <> (5 * -1)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:024", "request": "Consider the following new operations:\n\n$a # b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $a * b$.\n$a ][ b$ equals $(2 # b) * a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $(a - b)$ if $a ][ b > 0$; otherwise, it equals $a + b$.\n$a ! b$ equals $(b : a) + b$ if $|a-b| < 2$ and $(a : b) + a$ otherwise.\n$a ; b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n\nLet A = (((((((((((((((((((((-8 ! -10) - 7) ][ -10) ][ one) ][ 7) ][ -10) ! ten) ][ -4) + six) ; 5) - one) ; -6) ][ three) : -6) : two) # -1) ][ -4) ; 7) + -2) + four) : -2)\nLet B = (((((((((((((((((three + four) # -6) ; -5) - -10) + eight) - -9) ][ -9) # -4) * -2) * two) ; -4) * -8) : -3) * -6) - -4) # -6) * -6)\nLet C = ((((((((((((((((eight - five) ! -1) - -9) ][ one) + -6) ; -8) ! -9) - 6) - two) + -6) ! -8) : -1) ; 7) : 7) + -4) + six).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:025", "request": "Consider the following new operations:\n\n$a ~ b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a @ b$ equals $(a + b)$ if $a * b > 0$; otherwise, it equals $a ~ b$.\n$a : b$ equals $(b @ a) * b$ if $|a-b| < 2$ and $(a @ b) * a$ otherwise.\n$a & b$ equals $(2 - b) @ a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $(a @ b)$ if $a : b > 0$; otherwise, it equals $-a @ -b$.\n$a ; b$ equals $(a * a) - b$ if $b < 2$ and $(b * b) - a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((-9 @ one) *&~ nine) @+- -4) -* -3) @][ -5) -: -8) ; 1) :+ -8) +-][ eight) +@+ two) :: -4) : -7) - -7) +;+ -3) -@* -8)\nLet B = ((((three + -4) ][- (-3 ;; -7)) +;- ((eight &; -2) + (-4 - five))) &~ (((7 ;;@ -5) *& (seven ~:- 10)) ~; ((four * -6) @ (-5 ++~ -4))))\nLet C = (((((((((((((((((((((((seven ~~ 9) *&* 6) ~ 3) ][ -6) ;& 5) &@ 6) ][* -3) ][@ eight) ; -7) :@ 8) ~-+ -8) *: 3) @+ ten) ;; 2) & -6) -:; 8) ;* -6) : -1) *:: one) + seven) @* 1) @:: -10) -: 4).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:028", "request": "Consider the following new operations:\n\n$a : b$ equals $(2 - b) * a$ if $a > b$ and $b$ otherwise.\n$a ~ b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $-a - -b$.\n$a <> b$ equals $(a ~ a) : b$ if $b < 2$ and $(b ~ b) : a$ otherwise.\n$a ][ b$ equals $(a : b)$ if $a <> b > 0$; otherwise, it equals $a - b$.\n$a ! b$ equals $(b : a) * b$ if $|a-b| < 2$ and $(a : b) * a$ otherwise.\n$a & b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n\nLet A = ((((((((((((six - 9) <> -6) : 4) + -10) <> seven) ! seven) <> -6) <> 7) <> seven) ][ seven) ! 3) - three)\nLet B = ((((10 ! three) - (-10 ][ -6)) ][ ((-2 * ten) - (5 ~ one))) - (((-10 * 9) ! (-10 : -5)) * ((-1 * ten) : (four ! -8))))\nLet C = ((((5 <> -10) + (-5 + 7)) + ((-9 * 4) : (seven <> -3))) - (((-4 ][ -6) - (-2 * -3)) <> ((5 : -1) * (two ~ -5)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:032", "request": "Consider the following new operations:\n\n$a ! b$ equals $(a * b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a >< b$ equals $(a + a) ! b$ if $b < 2$ and $(b + b) ! a$ otherwise.\n$a & b$ equals $(b * a) - b$ if $|a-b| < 2$ and $(a * b) - a$ otherwise.\n$a : b$ equals $a >< b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((-3 + one) >< (three * -2)) >< ((six + -4) - (-9 - -6))) ! (((-9 * -10) & (three ! nine)) >< ((-3 ! seven) * (ten - -1))))\nLet B = ((((eight - -2) ! (1 ! 7)) : ((9 * 4) : (-6 >< -10))) + (((1 >< -8) * (six : 2)) & ((three - 5) - (-9 - 6))))\nLet C = ((((-1 & seven) ! (two >< eight)) * ((-10 - -7) : (-9 & -8))) ! (((-4 & 9) >< (1 ! -5)) : ((-4 & nine) : (-8 : 10)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:036", "request": "Consider the following new operations:\n\n$a : b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(a + b)$ if $a : b > 0$; otherwise, it equals $-a + -b$.\n$a ; b$ equals $(2 [] b) + a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a ! b$ equals $(a [] a) : b$ if $b < 2$ and $(b [] b) : a$ otherwise.\n$a ~ b$ equals $a ][ b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((3 ~ -2) ! (-10 + 6)) : ((-5 ! -1) * (-9 ! -1))) ! (((two ~ -5) + (-4 ; two)) - ((10 * -4) - (2 + -3))))\nLet B = ((((8 : 2) ! (-2 ~ -3)) [] ((3 * -1) : (-3 ! -5))) ~ (((five * eight) ! (4 * -6)) ~ ((three * 3) ~ (2 ][ ten))))\nLet C = ((((1 + -6) ][ (-1 [] 10)) ][ ((-6 ~ -10) + (-9 ][ six))) - (((-8 + -7) - (9 : ten)) ; ((4 + 8) ][ (-6 : -3)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:038", "request": "Consider the following new operations:\n\n$a # b$ equals $(a - a) + b$ if $b < 2$ and $(b - b) + a$ otherwise.\n$a ][ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a @ b$ equals $(b # a) ][ b$ if $|a-b| < 2$ and $(a # b) ][ a$ otherwise.\n$a >< b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n\nLet A = ((((-6 >< -1) ][ (-1 @ nine)) + ((ten ][ -6) # (five @ -7))) >< (((9 + six) >< (three @ -2)) ][ ((2 - 7) @ (one ][ -2))))\nLet B = ((((3 # 8) @ (three + -2)) >< ((six >< 8) - (10 ][ 2))) + (((ten @ -1) # (-6 - 9)) @ ((3 - -9) >< (1 >< -5))))\nLet C = ((((((((((((((((-4 >< -10) ][ 2) ][ -9) >< six) - nine) + 5) - 6) - -7) - 6) ][ three) * 3) @ -2) + -7) + four) + ten) ][ -7).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:041", "request": "Consider the following new operations:\n\n$a ; b$ equals $(b - a) + b$ if $|a-b| < 2$ and $(a - b) + a$ otherwise.\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(2 - b) + a$ if $a > b$ and $b$ otherwise.\n$a @ b$ equals $(a - b)$ if $a ! b > 0$; otherwise, it equals $a + b$.\n$a <> b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a @ b$.\n$a ~ b$ equals $(a - a) * b$ if $b < 2$ and $(b - b) * a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-5 !;- -4) @~ (-6 <> 4)) -<> ((-5 ;& ten) ~ (-4 ;@ -7))) @+- (((-1 ; six) ;! (-2 @-<> -2)) -+ ((eight *+@ five) ~~ (4 <>** -2))))\nLet B = ((((((((((((((((9 @@@ -4) ; -4) @ 7) * nine) + -7) ;~ 3) ;-* 4) & three) + -2) ~& -8) & -5) ~ 9) ;;- one) && 3) ! -8) -! eight)\nLet C = ((((one ~ 4) +*& (4 <> -9)) @;@ ((-10 + -1) * (two + -3))) ~; (((ten + seven) + (10 ;~- one)) <>@ ((7 <>@& 1) ; (-2 - one)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:042", "request": "Consider the following new operations:\n\n$a # b$ equals $(a - a) * b$ if $b < 2$ and $(b - b) * a$ otherwise.\n$a [] b$ equals $(a # b)$ if $a - b > 0$; otherwise, it equals $-a # -b$.\n$a ; b$ equals $(2 * b) + a$ if $a > b$ and $b$ otherwise.\n$a & b$ equals $(a * b)$ if $a [] b > 0$; otherwise, it equals $a + b$.\n$a >< b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ][ b$ equals $(b ; a) [] b$ if $|a-b| < 2$ and $(a ; b) [] a$ otherwise.\n\nLet A = (((((((((((10 - -6) - -9) >< -5) ; 8) >< -1) & ten) & 4) ; 8) >< seven) >< -7) # -7)\nLet B = ((((((((((((((-5 + -8) & 4) ; -8) [] -3) + -1) & six) * -6) [] 2) # -7) * -5) [] 1) >< six) + 10) ][ -5)\nLet C = ((((one ][ eight) # (six + four)) * ((five [] four) + (5 - 8))) * (((4 + -1) ; (-2 [] 4)) ; ((seven ; 9) >< (five & 2)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:043", "request": "Consider the following new operations:\n\n$a ][ b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ! b$ equals $(a - a) * b$ if $b < 2$ and $(b - b) * a$ otherwise.\n$a : b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a ; b$ equals $(2 + b) [] a$ if $a > b$ and $b$ otherwise.\n$a ~ b$ equals $(b : a) ! b$ if $|a-b| < 2$ and $(a : b) ! a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((6 +~: two) -* -9) +; nine) ![] 9) -; nine) + -2) ! 2) * -7) :; six) -[]+ -10) - -5) ;[]+ 2)\nLet B = ((((4 -~+ 6) -* (-7 ][+ -2)) ;~- ((-2 ! -7) ~ (-10 +; -8))) []! (((-1 ][ ten) -~* (-9 ~ eight)) +!- ((-1 : 6) [] (-2 ][+! -1))))\nLet C = ((((four - five) *~; (one ~~! -10)) : ((2 ;* one) !: (-3 !*][ -1))) *~ (((seven ][][* -5) ][*; (-8 :*[] four)) []*! ((-5 ][*! -3) ++ (-3 []; 6)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:044", "request": "Consider the following new operations:\n\n$a ][ b$ equals $(a + a) * b$ if $b < 2$ and $(b + b) * a$ otherwise.\n$a ~ b$ equals $(a * b)$ if $a - b > 0$; otherwise, it equals $-a * -b$.\n$a ; b$ equals $(a ~ b)$ if $a ][ b > 0$; otherwise, it equals $a - b$.\n$a & b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n\nLet A = ((((((((((((((2 + -4) ][ seven) + -2) * two) ; 4) * -6) ; seven) & 7) + six) + 9) ; -6) ~ -1) & 5) ; 1)\nLet B = ((((1 - -4) - (two & 4)) ][ ((-3 - -5) ~ (four + -7))) & (((5 & -4) + (-5 * -8)) + ((7 ; -5) ~ (-7 ~ five))))\nLet C = (((((((((((((((((-9 + 4) - -1) + 5) ; 7) & -2) * -1) ~ 1) - -2) - -1) + 2) ][ 6) ; -9) ; three) ; -6) * -3) ][ five) ~ 2).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:047", "request": "Consider the following new operations:\n\n$a @ b$ equals $(a + a) * b$ if $b < 2$ and $(b + b) * a$ otherwise.\n$a [] b$ equals $(b + a) - b$ if $|a-b| < 2$ and $(a + b) - a$ otherwise.\n$a : b$ equals $(2 @ b) * a$ if $a > b$ and $b$ otherwise.\n$a <> b$ equals $a @ b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((five :+ -9) :~ one) *<>~ 5) *:[] 2) <>~+ eight) *- -10) :: three) @* -10) : 4) <>~ -4) <>++ 9) * -1) []<>- -5) <>+@ -6) + -2) ++ -3) ~-~ -10) - eight)\nLet B = (((((((((((((((five @ -9) <> -5) []<>- -10) - -9) * 1) <> three) <>@ one) :[]- 3) []*- three) -** 4) @@ 6) +-[] 6) ~+ seven) @+[] -2) ~: -7)\nLet C = (((((((((((-8 +* four) <>:: -9) *@ -2) +*- -3) +<>: -10) [] -10) -+ five) @ -1) :<> 6) :- -7) [] 3).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:050", "request": "Consider the following new operations:\n\n$a >< b$ equals $(a * a) - b$ if $b < 2$ and $(b * b) - a$ otherwise.\n$a : b$ equals $(b * a) - b$ if $|a-b| < 2$ and $(a * b) - a$ otherwise.\n$a ~ b$ equals $(2 : b) - a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $a : b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((six * -4) ! (ten : nine)) + ((-9 - four) * (9 * 4))) ~ (((five - 4) >< (-4 >< -6)) : ((nine ~ -3) ~ (-7 * 1))))\nLet B = ((((-3 * 6) >< (10 >< -6)) - ((4 * 9) * (7 ~ nine))) + (((two >< -7) ! (8 - -2)) >< ((5 ! -2) ~ (eight : -5))))\nLet C = ((((8 ~ -3) : (6 + -5)) ~ ((eight ! -4) ! (nine ! -10))) : (((ten - five) * (-2 - 3)) + ((-2 >< -6) + (seven ! -9)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:051", "request": "Consider the following new operations:\n\n$a ! b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a ; b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a # b$ equals $(a ; a) + b$ if $b < 2$ and $(b ; b) + a$ otherwise.\n$a & b$ equals $(b # a) * b$ if $|a-b| < 2$ and $(a # b) * a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((-4 ; -3) & -5) # five) ! six) & -3) &+ -3) ;*- 1) +- -1) ; -9) &! -9) ! 5) -; -1)\nLet B = ((((four *+ 8) # (-10 ;; one)) #;- ((six - seven) &+! (-3 &; 7))) +! (((7 +; 8) -! (six -- -4)) + ((-9 !-# three) # (-6 -- 1))))\nLet C = (((((((((((((3 -;; 2) & -8) ; 9) *- -9) ++! 5) #+; -3) & -4) -- -5) +# -4) - three) ! 9) !*; -1) &; seven).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:053", "request": "Consider the following new operations:\n\n$a # b$ equals $(a + b)$ if $a * b > 0$; otherwise, it equals $-a + -b$.\n$a >< b$ equals $(b - a) # b$ if $|a-b| < 2$ and $(a - b) # a$ otherwise.\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(a - b)$ if $a # b > 0$; otherwise, it equals $a + b$.\n$a @ b$ equals $(2 + b) >< a$ if $a > b$ and $b$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((five &+* 5) & (-2 @#+ -9)) @-@ ((-8 ! -1) +&& (-4 + -1))) >< (((9 - -10) *-@ (2 + five)) + ((one ><@ -8) && (-4 #+! -4))))\nLet B = (((((((((((((((((((((-10 @ five) >< four) !@ three) * 7) @- -3) #&& 3) ><&! -9) #*& -7) #><& -7) + -5) -!! -3) ><# 5) ## 6) @><- -3) &@ -8) ! -4) !- -2) ! -9) +@! 8) >< -2) #><>< 3)\nLet C = (((((((((((eight + -3) #><+ -6) +@! -3) @@+ nine) *& 8) *!>< 8) # ten) +>< one) ><>< one) @#@ -9) > 0$; otherwise, it equals $a + b$.\n$a [] b$ equals $(a - b)$ if $a ! b > 0$; otherwise, it equals $a + b$.\n$a @ b$ equals $(a + a) [] b$ if $b < 2$ and $(b + b) [] a$ otherwise.\n$a >< b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((-9 * -4) * (-4 + -8)) * ((-7 [] 3) + (eight * -6))) >< (((-8 - 4) * (2 [] -5)) >< ((3 - 3) @ (2 ! six))))\nLet B = ((((three [] -5) - (-7 - -5)) + ((one * 10) [] (-6 * -4))) >< (((7 + -3) ! (3 * 10)) ! ((-7 + 4) - (-1 >< -9))))\nLet C = ((((((((((((((((((((((-10 @ nine) ! eight) - one) ! -10) @ 3) + 3) + 3) - -4) ! seven) ! 10) [] -8) >< -9) >< ten) + -9) * -5) ! three) @ eight) @ eight) >< -6) [] ten) [] four) ! four).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:060", "request": "Consider the following new operations:\n\n$a @ b$ equals $(a * a) - b$ if $b < 2$ and $(b * b) - a$ otherwise.\n$a >< b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ! b$ equals $(a >< b)$ if $a @ b > 0$; otherwise, it equals $-a >< -b$.\n$a <> b$ equals $(a @ b)$ if $a * b > 0$; otherwise, it equals $a ! b$.\n$a ~ b$ equals $(a - b)$ if $a @ b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $(2 ! b) >< a$ if $a > b$ and $b$ otherwise.\n\nLet A = ((((((((((((-7 ][ -3) ~ -3) + -4) ][ nine) - nine) <> -2) * -2) >< -4) <> -7) @ -10) @ -10) * -8)\nLet B = ((((-9 ][ -9) ][ (-10 + 2)) @ ((-9 >< 9) * (1 >< -3))) * (((8 ~ 8) >< (-5 ][ two)) + ((nine @ -8) ][ (-1 * eight))))\nLet C = ((((nine @ -2) >< (-10 + -10)) - ((-5 - ten) + (nine ~ -5))) ][ (((4 * 4) >< (three ][ -5)) ~ ((-2 + -7) >< (3 ! -8)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:064", "request": "Consider the following new operations:\n\n$a # b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\n$a ! b$ equals $(2 + b) * a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $a # b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ; b$ equals $(a + b)$ if $a : b > 0$; otherwise, it equals $-a + -b$.\n\nLet A = (((((((((((((1 ; three) * -7) : -4) * 10) ][ -10) # -1) ; -1) : four) : nine) : -9) + -2) # 9) * -6)\nLet B = ((((-4 ; -9) ][ (ten - 8)) * ((-5 + 5) + (-4 : -8))) - (((-4 + 8) + (three ][ two)) - ((-7 ! four) + (-3 : 6))))\nLet C = ((((ten + eight) * (-3 * -10)) ; ((-3 ][ -6) + (-10 ][ five))) ; (((3 - -3) ; (one # -2)) ][ ((-2 + -10) + (-1 ! -3)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:065", "request": "Consider the following new operations:\n\n$a : b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a <> b$ equals $(b - a) + b$ if $|a-b| < 2$ and $(a - b) + a$ otherwise.\n$a ~ b$ equals $a <> b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ][ b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((((((two ~ 10) ** two) : -2) +* -4) -*~ -10) ~+ one) +][ -10) ~+ six) ][- one) ][*+ -3) +:][ ten) <>:<> -1) ][ -10) - -7) + ten) ][+ four) ][:: -8) ~-: 5) ~ 8) -<>: -6) ][-~ -3)\nLet B = ((((-10 ][- 3) - (1 ~ 6)) +<> ((2 * 6) ++* (five ][- 2))) : (((3 ][* -3) *: (10 *: -1)) -<> ((three -<>][ 6) :+~ (-3 : 9))))\nLet C = ((((((((((((8 <>-: -4) -:+ -6) <>:: -4) -- 6) ~][ -2) ~*+ four) *:- -7) <>+: 6) - six) ~-- -10) ][<>+ one) ~++ -10).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:067", "request": "Consider the following new operations:\n\n$a >< b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a : b$ equals $(a * a) - b$ if $b < 2$ and $(b * b) - a$ otherwise.\n$a ~ b$ equals $(2 - b) + a$ if $a > b$ and $b$ otherwise.\n$a & b$ equals $(a ~ b)$ if $a : b > 0$; otherwise, it equals $-a ~ -b$.\n$a # b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ][ b$ equals $(b ~ a) - b$ if $|a-b| < 2$ and $(a ~ b) - a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((7 ~~+ -6) ][][* (2 ~][: -8)) -+ ((six & three) ::* (-4 # two))) +* (((10 ><+>< -9) :- (-6 ##: -8)) &# ((-2 &-* -4) ++& (2 ~# 7))))\nLet B = ((((((((((((((((((((((-2 # 8) -* -10) >< -3) ><][ -8) - one) :#* seven) # -2) &- -3) &# -9) ><><>< 4) ][ -5) #][: 10) -&- -3) :*][ -6) ~ -1) ><~: ten) :~ -7) &][+ -8) #+* -7) +& one) &~ seven) &-+ -10)\nLet C = ((((((((((((((((1 +# -6) # -10) * two) + 9) ~][ 4) # three) ][><- four) &+: -1) ~*: -5) #:][ -4) -][ 9) &: -2) ~* four) -*>< three) * -2) ~][>< -9).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:068", "request": "Consider the following new operations:\n\n$a # b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a & b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n$a ! b$ equals $(a & a) # b$ if $b < 2$ and $(b & b) # a$ otherwise.\n$a ; b$ equals $a # b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a : b$ equals $(a ! b)$ if $a ; b > 0$; otherwise, it equals $a + b$.\n$a >< b$ equals $(2 - b) ! a$ if $a > b$ and $b$ otherwise.\n\nLet A = ((((three - 10) # (one + seven)) & ((-5 + -9) >< (three ; one))) ; (((-5 # nine) + (3 ; five)) + ((-7 + two) # (five & -3))))\nLet B = ((((((((((((((((((((one ! 3) ; -4) * 4) ! -4) ; -10) * -6) ! -4) * -5) + -5) + 2) ; -3) + four) & -4) ! -9) - -10) + -6) ! 1) & 8) # -1) & -7)\nLet C = ((((8 : 2) - (-9 ; -8)) ! ((nine & 2) & (-1 - -3))) : (((4 >< 3) - (9 & -6)) # ((-4 - -4) + (7 ! -7)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:074", "request": "Consider the following new operations:\n\n$a ][ b$ equals $(2 * b) + a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $(a ][ b)$ if $a + b > 0$; otherwise, it equals $-a ][ -b$.\n$a ~ b$ equals $(a * a) ][ b$ if $b < 2$ and $(b * b) ][ a$ otherwise.\n$a >< b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a <> b$ equals $(b ~ a) ][ b$ if $|a-b| < 2$ and $(a ~ b) ][ a$ otherwise.\n$a ! b$ equals $(a - b)$ if $a : b > 0$; otherwise, it equals $a * b$.\n\nLet A = ((((((((((((((((((((10 * seven) + five) <> eight) ][ ten) >< 6) : -4) >< 2) + 6) ][ -7) ~ -7) ! -6) <> seven) >< -9) ][ -3) - -6) ][ ten) ~ 8) <> four) >< -3) ! -4)\nLet B = ((((seven >< -1) ! (9 ! -1)) : ((-3 >< -10) - (seven >< -4))) + (((one ! -8) >< (ten ][ 1)) ~ ((four ~ -6) * (2 >< 8))))\nLet C = (((((((((((((seven ! 8) - 2) ! 10) >< one) >< three) ! -3) <> 7) - 8) >< four) <> -6) ! 10) - -3) * 7).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:075", "request": "Consider the following new operations:\n\n$a ~ b$ equals $(a + b)$ if $a * b > 0$; otherwise, it equals $-a + -b$.\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a >< b$ equals $(2 - b) * a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $(a ! a) >< b$ if $b < 2$ and $(b ! b) >< a$ otherwise.\n$a <> b$ equals $(a - b)$ if $a ~ b > 0$; otherwise, it equals $a + b$.\n$a @ b$ equals $(a - b)$ if $a # b > 0$; otherwise, it equals $a ! b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((5 *~# 10) @ (-3 ! seven)) <> ((eight ~!>< -6) ! (four #! -3))) <>>< (((-10 !* -3) - (5 ~<>+ -6)) <>-- ((-9 !+ five) <>~ (two <> three))))\nLet B = ((((-10 + 1) <> (-10 @! 4)) +* ((ten <>><>< 1) * (9 ! -1))) ~ (((nine <>!# -6) @ (-4 !!# -4)) <>~+ ((seven @ five) # (8 ~-! -1))))\nLet C = ((((((((((((((((((((((-4 <>@ 3) ><- -8) #@ -8) ! seven) <> three) !@ -7) +*+ three) +#* eight) ><@ seven) -<> nine) -!~ -10) + -4) +~@ -6) - -5) #<> five) <>><@ 7) <>>< -2) -<> -3) <> -5) ~@ -7) *><# -9) *# 3).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:076", "request": "Consider the following new operations:\n\n$a # b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a & b$ equals $(2 # b) + a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $(b & a) + b$ if $|a-b| < 2$ and $(a & b) + a$ otherwise.\n$a ][ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a >< b$ equals $(a & b)$ if $a ][ b > 0$; otherwise, it equals $-a & -b$.\n\nLet A = (((((((((((((((((((((((seven - eight) * eight) ][ -6) >< three) ][ -8) * 2) * five) & six) [] -9) # -2) + 3) # 1) >< -10) # -7) >< -6) [] -5) >< seven) # 8) & -7) [] -9) [] four) ][ 9) >< 10)\nLet B = ((((seven & six) * (one - -10)) + ((-1 >< -8) & (7 * six))) - (((seven * -2) [] (ten ][ -2)) * ((six + -9) & (5 & -4))))\nLet C = (((((((((((((-3 * 10) >< -6) - -5) [] -9) - -6) & seven) # -6) & four) - 5) - -2) & three) & -4) # 2).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:080", "request": "Consider the following new operations:\n\n$a <> b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a : b$ equals $(a <> b)$ if $a * b > 0$; otherwise, it equals $a - b$.\n$a [] b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ~ b$ equals $a <> b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ][ b$ equals $(b + a) <> b$ if $|a-b| < 2$ and $(a + b) <> a$ otherwise.\n\nLet A = ((((10 + eight) - (five - -8)) - ((six ][ -5) - (-5 - six))) + (((-9 [] 3) ][ (one ~ 6)) <> ((-10 * 2) ~ (1 <> -2))))\nLet B = ((((((((((((((-9 : 10) [] 7) <> 2) : 3) <> -4) ~ seven) ~ two) : 5) ~ 5) - nine) ][ 9) : six) <> -8) * -8)\nLet C = ((((2 : six) <> (three - -4)) <> ((six ~ five) * (2 ~ 8))) - (((four + -3) <> (nine : -6)) <> ((-4 + -9) + (five - -5)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:081", "request": "Consider the following new operations:\n\n$a ~ b$ equals $(b - a) + b$ if $|a-b| < 2$ and $(a - b) + a$ otherwise.\n$a ! b$ equals $(2 - b) * a$ if $a > b$ and $b$ otherwise.\n$a >< b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a # b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a <> b$ equals $(a ! a) ~ b$ if $b < 2$ and $(b ! b) ~ a$ otherwise.\n$a ; b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((8 !~ 4) ><# (-9 ! -7)) ~!! ((7 ~! -8) ~ (-10 ;+# -10))) -;- (((seven ;* -8) ** (9 + two)) ~<>>< ((-10 +<><> one) ;; (-5 ~ -1))))\nLet B = ((((((((((((((((((nine #<> 9) + 10) -<>- five) <> -8) <> 6) ;<> 2) ;>< -7) ~~ six) #- -7) #! 8) ~! 10) ;~<> two) <>- seven) ;-- -8) # 3) +<>+ -3) *~* -9) ><+>< six)\nLet C = ((((-5 ; -10) +! (-2 <> -9)) *!~ ((5 #~ -4) * (4 #>< -10))) !!* (((-6 ~#; -6) !- (-1 ><+* -5)) ;><* ((-8 - -2) !# (-5 -! -2)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:082", "request": "Consider the following new operations:\n\n$a ~ b$ equals $(a + a) - b$ if $b < 2$ and $(b + b) - a$ otherwise.\n$a ][ b$ equals $(a + b)$ if $a ~ b > 0$; otherwise, it equals $-a + -b$.\n$a & b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ! b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a <> b$ equals $(2 ~ b) - a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n\nLet A = ((((((((((((((((((-7 : nine) & -5) <> -10) ~ -8) <> -7) & 10) & 9) : 6) - -9) : -6) <> -1) * -6) ~ 5) : seven) - -4) : -9) - 8) ~ one)\nLet B = ((((-8 ~ ten) & (-5 * -10)) ][ ((-2 ~ 10) ][ (-3 ~ -5))) : (((6 <> 4) ! (five * one)) & ((nine ! -7) * (-2 <> -5))))\nLet C = (((((((((((-1 : -4) + -4) & -5) * -9) & seven) : 8) ~ 5) + 9) + -6) & -3) : six).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:083", "request": "Consider the following new operations:\n\n$a ][ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a <> b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\n$a & b$ equals $(2 - b) * a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $(a & b)$ if $a <> b > 0$; otherwise, it equals $-a & -b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((((((8 - -10) *&- -7) <>+ -8) &+ -3) <>][& 3) ][<> 6) &][][ 2) &[] one) *[][] 8) +*[] seven) <>-* six) ][ 8) +-[] 3) +- 5) []&<> 10) &+ -2) []&- -5) *++ -5) + 8) + 10) ][ 5) & -10)\nLet B = ((((6 +* three) -*- (-6 <>][+ nine)) [][] ((-5 <><> -2) & (nine +* -9))) <>-[] (((six []- -4) []<> (-6 []& -3)) - ((10 -&[] 9) -+ (-9 +&[] -2))))\nLet C = (((((((((((((((-7 []<> one) []&+ nine) <> -9) <><>+ 5) <>&+ -3) <> 7) ][+][ -7) ** 1) + -10) + 3) * 6) *<> three) *- -8) <>][[] 8) [] -10).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:086", "request": "Consider the following new operations:\n\n$a >< b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a @ b$ equals $(a - b)$ if $a >< b > 0$; otherwise, it equals $a + b$.\n$a ~ b$ equals $(a - b)$ if $a >< b > 0$; otherwise, it equals $-a - -b$.\n$a [] b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ][ b$ equals $(a ~ a) + b$ if $b < 2$ and $(b ~ b) + a$ otherwise.\n$a ; b$ equals $(2 * b) >< a$ if $a > b$ and $b$ otherwise.\n\nLet A = ((((three * -7) [] (-9 * 5)) * ((-8 * seven) >< (2 - four))) ][ (((ten + -5) * (nine * -2)) ][ ((-7 @ -1) @ (-8 >< 2))))\nLet B = ((((((((((((((-1 ][ 9) >< -4) ][ 9) >< -9) >< -5) * -4) ][ -7) - -4) [] 6) + two) >< -9) ~ -9) @ four) - -9)\nLet C = (((((((((((((-9 @ -2) + 10) @ 3) + -10) * -8) + -8) ][ 1) - ten) + -7) + -1) + -1) * two) + -2).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:087", "request": "Consider the following new operations:\n\n$a & b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a [] b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a >< b$ equals $(a - a) [] b$ if $b < 2$ and $(b - b) [] a$ otherwise.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a # b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((((((three - six) @&>< -5) @#- -8) # -6) &><* -9) []>< -6) +# -1) +- 7) & -1) * -2) &><* -1) +>< nine) []+* two) -& -10) ><@+ 4) +><@ 2) +- six) -[] -5) [] three) @ one) #>< -3) *[] 1)\nLet B = (((((((((((((((((((((-2 -*@ -10) - five) - -9) [][]@ -8) *- -8) * four) >< six) && nine) #-# -10) @ -7) +[][] -2) # -2) @>< seven) #& -1) &- -7) * ten) ##>< seven) @ -2) &[]& -8) - four) @[] ten)\nLet C = ((((((((((((((((9 # -9) >< -9) * -2) &* -3) >< -8) [] eight) &[][] -1) [] six) & -8) #@ 1) *&@ 4) - two) - -3) +[]>< 1) @ -9) -[] -2).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:088", "request": "Consider the following new operations:\n\n$a >< b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $-a + -b$.\n$a ! b$ equals $(a >< a) + b$ if $b < 2$ and $(b >< b) + a$ otherwise.\n$a ][ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a : b$ equals $(b + a) ][ b$ if $|a-b| < 2$ and $(a + b) ][ a$ otherwise.\n$a ; b$ equals $(a * b)$ if $a ! b > 0$; otherwise, it equals $a + b$.\n$a @ b$ equals $(2 ! b) + a$ if $a > b$ and $b$ otherwise.\n\nLet A = ((((-7 ][ two) ][ (-10 >< -1)) + ((four @ -9) + (8 >< 5))) >< (((8 ! 5) * (-6 - one)) - ((-3 * two) * (-7 ][ -5))))\nLet B = ((((4 - six) - (seven @ -9)) : ((-2 ! five) ][ (-8 - -1))) ! (((six - seven) : (7 : 10)) @ ((five - -7) >< (5 + -9))))\nLet C = (((((((((((((((((((-8 + -9) * four) * 4) >< -5) + -4) : -2) ; -10) >< 10) @ -4) ; -1) ; five) - 4) * -8) ; 3) >< 9) : 1) * -7) - five) + four).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:090", "request": "Consider the following new operations:\n\n$a : b$ equals $(a * b)$ if $a - b > 0$; otherwise, it equals $-a * -b$.\n$a @ b$ equals $(a - a) * b$ if $b < 2$ and $(b - b) * a$ otherwise.\n$a [] b$ equals $(b * a) - b$ if $|a-b| < 2$ and $(a * b) - a$ otherwise.\n$a >< b$ equals $(a - b)$ if $a [] b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((((((((((-7 + -6) >< -9) ][ nine) @ one) @ -9) >< -4) [] seven) ][ five) ][ 8) >< -7) [] 8) >< ten)\nLet B = ((((four + -7) + (one [] -5)) + ((-8 >< -1) ][ (two [] two))) : (((one >< 1) >< (10 ][ -2)) - ((-10 ][ -10) * (-5 + -4))))\nLet C = ((((9 + 10) + (-4 [] -5)) ][ ((six @ -3) [] (6 @ nine))) + (((-3 ][ -5) * (-6 [] -4)) + ((eight @ -2) [] (-7 [] -7)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:091", "request": "Consider the following new operations:\n\n$a <> b$ equals $(a + b)$ if $a * b > 0$; otherwise, it equals $a - b$.\n$a # b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a [] b$ equals $(2 <> b) # a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $a <> b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(b <> a) * b$ if $|a-b| < 2$ and $(a <> b) * a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((three -+ six) - (-6 ! 3)) -><<> ((-1 # seven) []- (-5 []# nine))) !# (((-4 <> ten) #-! (3 ><[][] -4)) [] ((-1 * -8) !# (-8 >< six) <>+ -10) #>< 4) -+<> -6) #>< -7) !<> 1) ![][] nine) [] 9) - -9) <> 3) --* three) [] -7) +><* -8)\nLet C = ((((-5 -<> six) **<> (6 ** -3)) !! ((nine - 3) #-[] (7 ><- -10))) +<>! (((-6 ><><- -4) -[]+ (-4 +- 4)) [] ((4 ->< 1) []-# (-5 <>>< -4)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:092", "request": "Consider the following new operations:\n\n$a @ b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $-a - -b$.\n$a # b$ equals $(a @ b)$ if $a * b > 0$; otherwise, it equals $a - b$.\n$a : b$ equals $(a @ a) + b$ if $b < 2$ and $(b @ b) + a$ otherwise.\n$a >< b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ; b$ equals $a >< b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ][ b$ equals $(a - b)$ if $a : b > 0$; otherwise, it equals $a + b$.\n\nLet A = ((((((((((((((6 # -9) @ -10) @ -6) # -5) >< 1) + -9) * -7) * two) # nine) @ seven) ][ two) ; five) : 6) ; -5)\nLet B = ((((((((((((((((((-1 + 3) # -10) : 4) - 9) # -3) + -9) >< -3) : -6) - -4) ; eight) # seven) + three) # -6) # 6) # 7) * -5) - seven) ; -5)\nLet C = (((((((((((((((((-8 - three) ][ -4) @ nine) : 3) * nine) @ one) ][ 4) - 8) >< -8) ][ eight) ; -4) ][ 4) + 8) : -10) * 2) ][ -2) @ -10).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:097", "request": "Consider the following new operations:\n\n$a <> b$ equals $(2 + b) * a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $(a + b)$ if $a <> b > 0$; otherwise, it equals $-a + -b$.\n$a & b$ equals $(a + a) : b$ if $b < 2$ and $(b + b) : a$ otherwise.\n$a # b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((((((((five -:& 3) --# -2) * nine) &&: 3) #+& -10) - 2) &+* 6) *- 6) * seven) :* -9) +&- six) - two) # -2) # 4) +& 6) *# -7) <><> 3) : -3) :*# -2) +<> 5) <>-: 1) * -10) *#- 10)\nLet B = ((((-9 -*& -10) # (4 -#* 7)) ##<> ((five +<>- -6) &+: (-2 + ten))) & (((2 <>:+ -7) #+ (-9 - -7)) <> ((ten +<> four) :: (-6 <> 5))))\nLet C = (((((((((((three :& 4) <>&# 6) <>#& -10) --- nine) -+ -10) +&& ten) *+: -8) <> 9) +# -7) * 7) + 1).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:098", "request": "Consider the following new operations:\n\n$a ! b$ equals $(a + b)$ if $a * b > 0$; otherwise, it equals $a - b$.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a <> b$ equals $(a ! a) + b$ if $b < 2$ and $(b ! b) + a$ otherwise.\n$a ~ b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a ; b$ equals $(2 - b) * a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $(b * a) - b$ if $|a-b| < 2$ and $(a * b) - a$ otherwise.\n\nLet A = ((((5 @ 2) ; (5 ~ -5)) : ((ten <> -5) + (-1 ! -2))) : (((-7 * -4) ! (five ~ -9)) - ((six * 1) ~ (-6 ~ -8))))\nLet B = (((((((((((((((((((one ; six) * -7) ~ -5) <> -8) @ two) ! -8) - -8) ; -3) @ -6) ~ -10) : -1) <> -8) - -5) * -4) - -4) : -9) + -5) ! 4) : -9)\nLet C = ((((((((((((((((((((((-2 @ three) : -5) * -3) + three) + -9) + 2) ; -3) ; one) ~ -4) ~ 6) ~ -10) ; 7) ! -3) <> one) - -2) ; four) <> -1) <> 3) - 5) @ -6) : -6) : -10).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:102", "request": "Consider the following new operations:\n\n$a : b$ equals $(a - a) + b$ if $b < 2$ and $(b - b) + a$ otherwise.\n$a & b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a * b$.\n$a ! b$ equals $(b & a) * b$ if $|a-b| < 2$ and $(a & b) * a$ otherwise.\n$a >< b$ equals $(a : b)$ if $a & b > 0$; otherwise, it equals $-a : -b$.\n$a [] b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n\nLet A = (((((((((((((((2 * -9) * -3) : -5) : five) * 2) & -7) & 8) ! -2) : -6) + -6) & -3) * -9) & -6) : seven) >< -9)\nLet B = ((((-9 + -10) * (3 * -4)) [] ((six * -6) ! (-10 : -1))) : (((5 : -10) ! (7 - -3)) - ((-4 - -9) >< (1 >< 3))))\nLet C = (((((((((((((ten ! -9) * -2) & ten) [] four) : -5) [] -2) [] four) + -10) * -4) + one) [] -4) & two) >< 3).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:105", "request": "Consider the following new operations:\n\n$a # b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a * b$.\n$a & b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a @ b$ equals $(2 * b) + a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $(a & b)$ if $a - b > 0$; otherwise, it equals $-a & -b$.\n$a ; b$ equals $(b * a) & b$ if $|a-b| < 2$ and $(a * b) & a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((3 [][] 7) []+[] (-9 + 10)) &[] ((four ;&@ -8) # (-2 & 3))) ;## (((-9 ;*- 9) -& (two @ ten)) + ((7 * 8) & (10 ;[]# 10))))\nLet B = ((((-6 #& -6) -+& (6 @- -7)) @+ ((-2 []* 5) ;;# (seven # 10))) *;[] (((-10 #+# -1) -& (7 #+ -1)) -++ ((2 *@& -1) [] (-1 &*+ -9))))\nLet C = (((((((((((((((4 ;* -7) @@ 7) * two) ++; -9) *@ one) *;; -5) []+ -2) -*@ -3) []@; -1) @ -2) ;;# -3) @ 3) @ -8) & -3) #; one).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:108", "request": "Consider the following new operations:\n\n$a ! b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n$a ; b$ equals $(a + b)$ if $a * b > 0$; otherwise, it equals $-a + -b$.\n$a # b$ equals $(a - a) + b$ if $b < 2$ and $(b - b) + a$ otherwise.\n$a <> b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n\nLet A = ((((-5 ; five) <> (-3 + 10)) ; ((six # -4) * (-7 - -5))) <> (((-2 # three) ! (one + 2)) ; ((-3 * -3) <> (-10 + -3))))\nLet B = ((((-4 + two) * (-8 - -7)) ! ((three * 6) - (1 * -5))) ; (((7 ! -7) # (-2 <> 4)) ; ((-3 <> -9) ; (six # -6))))\nLet C = ((((-4 * -9) - (ten ; -9)) + ((-1 + -9) + (-9 <> -3))) <> (((eight * -6) ! (-9 ; 2)) + ((-8 ; 8) - (-6 ; -9)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:110", "request": "Consider the following new operations:\n\n$a # b$ equals $(2 * b) - a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(b - a) ! b$ if $|a-b| < 2$ and $(a - b) ! a$ otherwise.\n$a @ b$ equals $a [] b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((7 - eight) * (-6 + -3)) * ((three @ -7) # (-9 * -1))) # (((5 @ -9) # (ten # five)) [] ((-2 - -3) - (nine [] -8))))\nLet B = ((((-6 @ -4) - (nine ! ten)) - ((-4 + -5) ! (ten - -9))) # (((five - -5) [] (four * -5)) - ((nine - -9) [] (6 ! -4))))\nLet C = (((((((((((four @ nine) + 10) [] -7) @ -4) * nine) + -3) # 7) * 5) [] 6) # 4) - -2).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:112", "request": "Consider the following new operations:\n\n$a : b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ; b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a <> b$ equals $(2 + b) : a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a ! b$ equals $(a ; b)$ if $a ][ b > 0$; otherwise, it equals $-a ; -b$.\n\nLet A = (((((((((((((((((-2 ; 3) <> -2) ! 3) <> -3) ! one) + 7) * ten) - -3) ! 4) + -5) - three) * -8) - 2) + 1) + -9) : five) ; -4)\nLet B = ((((-1 : nine) + (-10 <> 7)) <> ((-1 * three) * (-5 <> two))) - (((three ! -9) ! (-4 + -10)) - ((one ; 7) <> (-7 <> -10))))\nLet C = ((((((((((((((((((((-7 - six) ][ 1) ; 9) <> 9) ! -10) ! 10) * -7) ! six) <> -8) ! -9) <> nine) * three) <> -6) ; -7) ; 3) ][ five) <> 10) ][ -2) + -4) ][ -3).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:116", "request": "Consider the following new operations:\n\n$a ~ b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $a * b$.\n$a : b$ equals $(2 - b) ~ a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $(a * a) : b$ if $b < 2$ and $(b * b) : a$ otherwise.\n$a ; b$ equals $(b ][ a) - b$ if $|a-b| < 2$ and $(a ][ b) - a$ otherwise.\n\nLet A = (((((((((((((((eight * -10) ; seven) ][ -6) ; -6) ; 1) ~ -8) ~ -8) ; -2) ~ -6) ; 1) + 5) ; seven) ][ -3) - -7) + -1)\nLet B = ((((-4 : 4) - (-6 + -8)) : ((6 ~ one) - (eight : 6))) * (((-2 ~ -10) * (-2 : 4)) : ((8 ; eight) : (-10 - -7))))\nLet C = ((((-8 * -3) ; (5 ; -3)) : ((10 * -7) + (seven ~ -7))) * (((10 * nine) : (five ; -8)) + ((-5 : -3) * (1 ~ two)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:121", "request": "Consider the following new operations:\n\n$a & b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $-a + -b$.\n$a <> b$ equals $(a * b)$ if $a & b > 0$; otherwise, it equals $a - b$.\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a >< b$ equals $(a - b)$ if $a ~ b > 0$; otherwise, it equals $a + b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-9 >< -10) * (-6 ><++ 8)) ~ ((-6 - 7) -<> (eight <> 5))) ~<> (((seven **- 5) - (six **~ -6)) &~& ((7 ><~ -8) *-& (-7 -<> -9))))\nLet B = ((((((((((((((((-3 ><~ two) <>~* 10) - six) - 2) >< -9) +<>& -2) * 2) ><& -4) -&& 3) ~*<> -8) &~+ five) <>& three) <>+ seven) - -4) &>< nine) &-- one)\nLet C = ((((7 --* -6) -><<> (2 *+ 4)) *- ((-4 <> -7) -><~ (-7 ><- -8))) <>~ (((6 ><* -9) & (five >< 8)) <>>< ((-4 ++ 8) *& (-9 <>-& five)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:122", "request": "Consider the following new operations:\n\n$a ; b$ equals $(2 * b) + a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $a : b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a [] b$ equals $(b ; a) : b$ if $|a-b| < 2$ and $(a ; b) : a$ otherwise.\n\nLet A = (((((((((((((((((((-5 : six) : -1) - 8) - 1) ; 2) ! ten) - -9) ; -2) ! two) ! -7) ! -6) + ten) + 2) - 2) - -6) - 3) [] one) : -10) - seven)\nLet B = ((((((((((((((((-1 ; one) ; four) * 4) * 4) ! -4) - 2) - six) [] 4) ; -5) + one) + -6) : 9) ; 7) [] -8) * -10) * -3)\nLet C = ((((((((((((-4 ; -3) - 3) : two) ; -2) - -7) - nine) [] -7) ! 1) + nine) ! -7) ! -1) [] -4).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:123", "request": "Consider the following new operations:\n\n$a : b$ equals $(a * b)$ if $a + b > 0$; otherwise, it equals $-a * -b$.\n$a [] b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ~ b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $a * b$.\n$a ; b$ equals $(a - b)$ if $a [] b > 0$; otherwise, it equals $a + b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((-1 *+: -8) *:; -3) ++[] two) *:* seven) : 10) ; ten) + -2) :~ -10) ~*[] -9) []- -7) +[] -3) ;:* two) ~~ -6) - ten) []; -7) []:+ -4) + ten) *~+ 5)\nLet B = (((((((((((((((((((((((-9 [] -9) [] -6) :+ ten) +~ -5) :~~ nine) * -1) :~ three) +++ -9) : -3) :;: -7) []* -1) :+ -9) *~- 3) -;[] -1) [] 1) ~*: eight) +; -9) * -10) [];[] -4) ~;* -3) ~: -3) :~ 6) ~;; 4)\nLet C = ((((((((((((5 ~ eight) * five) :~; ten) : -10) ; one) -:: 2) * eight) -- -6) *~ 4) :~ -2) +[] 2) ~ -2).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:124", "request": "Consider the following new operations:\n\n$a # b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $-a + -b$.\n$a [] b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ; b$ equals $(2 [] b) + a$ if $a > b$ and $b$ otherwise.\n$a ~ b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a ! b$ equals $(b * a) ; b$ if $|a-b| < 2$ and $(a * b) ; a$ otherwise.\n\nLet A = (((((((((((((((((((((7 + -1) * 5) # 9) + 9) # five) # 5) ~ 7) ! nine) # three) + -8) ; -8) ; nine) [] 8) ; 7) + -4) ! two) + 8) ~ -10) ! 4) ; -8) ~ -2)\nLet B = (((((((((((((-9 # -9) ! -5) * 4) ; -6) ! nine) ! -3) ! -10) ~ 8) ; 8) - one) ; six) - -2) ; -6)\nLet C = ((((7 * -3) # (one - ten)) ~ ((two # three) - (-5 # -3))) * (((five + -8) - (-6 * 3)) ! ((four ! 10) - (-4 * -3)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:125", "request": "Consider the following new operations:\n\n$a >< b$ equals $(a * a) - b$ if $b < 2$ and $(b * b) - a$ otherwise.\n$a ! b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\n$a <> b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $-a - -b$.\n$a @ b$ equals $(a <> b)$ if $a >< b > 0$; otherwise, it equals $a - b$.\n$a & b$ equals $(a - b)$ if $a <> b > 0$; otherwise, it equals $a + b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-5 !@<> 3) & (1 & -9)) <><> ((8 +* -5) -+ (six ><++ 2))) <> (((-7 !- four) @-! (-6 ! -5)) -@ ((1 ! 1) *- (nine <>*& 10))))\nLet B = (((((((((((((((((((-5 -+- nine) &*! -2) & -4) <> three) -+<> -5) @@! nine) &* 8) *<> -4) &+! two) & 7) & 4) + -3) &&! -1) ! -9) + 9) - -6) @ -5) *! -4) !-- -9)\nLet C = ((((-4 &*& 3) *<> (-6 @** 7)) -& ((four *+ -6) <>@<> (-6 ! -8))) --@ (((-8 - -1) ><@ (-2 &<>@ 3)) <> ((-10 <>! ten) -<>- (2 <>@- -1)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:127", "request": "Consider the following new operations:\n\n$a >< b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ! b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a <> b$ equals $(a >< a) * b$ if $b < 2$ and $(b >< b) * a$ otherwise.\n$a & b$ equals $(a + b)$ if $a ! b > 0$; otherwise, it equals $-a + -b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((-3 <> -1) > -7) <><> -8) -++ -7) *+ -3) +><- -6) **+ six) + -7) - -7) !*- -9) -->< -6) *-- -10) +*+ ten) *<>* -3) <> -1) ><* -6)\nLet B = (((((((((((-3 -+ -4) !<> ten) *& 6) && -5) !<>- -10) !- 7) *-& one) !& -2) *><<> -5) !>< five) *&- -5)\nLet C = ((((((((((((((-2 !& -5) + eight) >< 6) <>-& -5) >< -2) <> -2) - one) &* 4) +>< 4) >< -8) !& -9) &>< -8) ! two) + 5).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:128", "request": "Consider the following new operations:\n\n$a : b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a @ b$ equals $(a + a) * b$ if $b < 2$ and $(b + b) * a$ otherwise.\n$a & b$ equals $(a : b)$ if $a + b > 0$; otherwise, it equals $a * b$.\n$a [] b$ equals $(a : b)$ if $a - b > 0$; otherwise, it equals $-a : -b$.\n$a # b$ equals $(b * a) - b$ if $|a-b| < 2$ and $(a * b) - a$ otherwise.\n$a ][ b$ equals $(2 @ b) * a$ if $a > b$ and $b$ otherwise.\n\nLet A = ((((two [] 5) & (1 # -2)) : ((-6 : -2) * (5 [] 7))) [] (((5 - -1) - (-4 - 2)) : ((six ][ eight) [] (-1 & -7))))\nLet B = (((((((((((((((((9 [] 6) * 3) @ -8) @ 9) * -3) ][ two) * 7) @ -1) ][ one) * four) @ -4) * -3) @ -1) [] -9) * -1) [] three) ][ -7)\nLet C = ((((-2 : 10) + (three + six)) : ((4 + -7) & (four + two))) & (((nine + -9) @ (-8 * -1)) & ((-2 @ -10) @ (-1 ][ six)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:130", "request": "Consider the following new operations:\n\n$a : b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a <> b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ~ b$ equals $(a * b)$ if $a + b > 0$; otherwise, it equals $a : b$.\n$a ][ b$ equals $(2 <> b) - a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $(a : b)$ if $a ][ b > 0$; otherwise, it equals $-a : -b$.\n$a @ b$ equals $(b * a) ~ b$ if $|a-b| < 2$ and $(a * b) ~ a$ otherwise.\n\nLet A = ((((5 ][ 4) # (5 - five)) + ((-2 # -8) @ (-6 <> -4))) <> (((-6 - 2) + (5 - -7)) : ((-2 @ two) ~ (one : -2))))\nLet B = (((((((((((((((((((((8 <> -10) # -6) <> -1) ~ one) <> -1) - three) - 7) - 8) # -1) + 5) * -7) <> -6) ~ -5) @ -1) + 2) - eight) * nine) <> -1) + 4) ][ four) + -4)\nLet C = ((((-6 : ten) ~ (ten * -7)) <> ((eight : -4) + (five ][ five))) # (((8 @ eight) <> (-2 * -3)) # ((-6 * -2) - (two # 5)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:131", "request": "Consider the following new operations:\n\n$a [] b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(a * b)$ if $a [] b > 0$; otherwise, it equals $-a * -b$.\n$a & b$ equals $(2 >< b) [] a$ if $a > b$ and $b$ otherwise.\n$a : b$ equals $(a >< a) + b$ if $b < 2$ and $(b >< b) + a$ otherwise.\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((nine [][] -5) :[] (1 *+ six)) - ((eight :[] -4) :! (-9 ><-* -6))) +[] (((-10 -!* 8) +& (-10 & 1)) !: ((-6 >< seven) & (-2 & -2))))\nLet B = ((((4 !*! -2) ! (6 : -2)) +! ((-10 - seven) * (-2 +><+ 1))) []! (((five :!* ten) >< 8) *&! 9) -+& -5) ** five) >< -1) +- -9) ><[] -2) : 3).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:132", "request": "Consider the following new operations:\n\n$a ! b$ equals $(a * b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(a ][ b)$ if $a * b > 0$; otherwise, it equals $-a ][ -b$.\n\nLet A = ((((three ! four) + (three * 7)) + ((-10 ! 10) + (-2 ][ -8))) ! (((-7 [] one) ! (-1 ~ -2)) + ((-9 ][ -2) ][ (-5 + 3))))\nLet B = ((((one * -7) - (six ~ nine)) ~ ((-2 * seven) * (-7 ! seven))) * (((-8 * -5) [] (3 ][ -8)) [] ((-6 [] -10) - (7 ][ 6))))\nLet C = (((((((((((((((((8 + -1) * -5) + 9) ][ -4) - -4) ! one) * six) ~ eight) + ten) ][ two) ][ 10) * six) ~ -6) ~ 4) ! five) ][ 10) ! -8).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:133", "request": "Consider the following new operations:\n\n$a ~ b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ! b$ equals $(2 - b) ~ a$ if $a > b$ and $b$ otherwise.\n$a <> b$ equals $(b + a) ~ b$ if $|a-b| < 2$ and $(a + b) ~ a$ otherwise.\n$a >< b$ equals $(a ~ b)$ if $a <> b > 0$; otherwise, it equals $-a ~ -b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((-10 <><>+ -9) !+ nine) ~ -2) >< -1) +><+ 6) ~ seven) -* -8) ++~ six) <>-<> seven) + 9) +!>< -4) ! -9)\nLet B = (((((((((((((((((((((((-2 ~-- -8) >< one) - -2) - -2) -<>+ seven) ~>< -2) * seven) - -4) +<>* seven) *<> -4) *~ nine) <>><>< three) ! three) -~~ -2) +* -7) ><<>* 7) >< -2) !->< eight) >< 3) !- -8) ~ -10)\nLet C = ((((((((((((((-9 <>><+ five) * three) >< 4) ! -4) ~*~ -4) ><- 6) <>>< 4) +~! -7) +<> 1) <>+* -1) <>~>< 7) <> -10) +*~ ten) ~ -7).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:135", "request": "Consider the following new operations:\n\n$a <> b$ equals $(2 - b) * a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $(b + a) <> b$ if $|a-b| < 2$ and $(a + b) <> a$ otherwise.\n$a ~ b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $(a ~ b)$ if $a * b > 0$; otherwise, it equals $a [] b$.\n$a & b$ equals $(a <> b)$ if $a [] b > 0$; otherwise, it equals $-a <> -b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-7 ][ -5) ][*<> (-4 &- four)) <> ((-4 +& eight) ~[][] (-4 -+ six))) ~ (((nine &+~ -1) -[]<> (-3 ~ -7)) <> ((-2 ~<> 10) <> (5 []&][ one))))\nLet B = (((((((((((((((((((-1 <><> four) ][[] -8) ][~~ -3) +* 1) [] two) ** -2) +& 4) []~ 6) *][ 9) *[][] 1) + -2) **~ six) ~<> one) *~& 8) <>~ eight) [] -6) <>[] 6) <>[]& five) * -4)\nLet C = ((((three -&+ 1) ][ (1 *& -8)) * ((one ][ 5) [] (-1 ~ -7))) - (((-2 & -1) ][* (-3 + -9)) <>][* ((seven * 1) []+ (-3 ][ -8)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:136", "request": "Consider the following new operations:\n\n$a ][ b$ equals $(a + b)$ if $a * b > 0$; otherwise, it equals $a - b$.\n$a & b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ; b$ equals $(2 + b) & a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n\nLet A = ((((((((((((((((((((3 ; -3) ; 7) ! -1) + 5) & -5) ; -10) & -9) ; -6) [] -5) ! 4) + -6) [] -5) * -4) & -2) ; -8) ][ five) ; -1) + -8) - -1) ! -2)\nLet B = (((((((((((((((-3 & seven) - -9) ; -7) + 2) & -9) ; -9) ! 4) - -7) & eight) * 9) & 10) & 9) * five) & two) * -2)\nLet C = (((((((((((((-9 - -5) ][ 5) * 3) & -4) [] -7) [] -6) ! -4) ][ -2) & 7) + -5) [] ten) ! -1) & 6).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:143", "request": "Consider the following new operations:\n\n$a # b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(2 + b) * a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $(a - a) * b$ if $b < 2$ and $(b - b) * a$ otherwise.\n$a ; b$ equals $(a >< b)$ if $a # b > 0$; otherwise, it equals $-a >< -b$.\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((((((ten -* 4) & one) ;><+ -10) []- one) + -6) ** 6) --; -2) ;><[] -9) ;& three) [] one) ;# nine) ;><* -3) []><>< -7) **# -7) *#[] 4) ;- 7) ;* -4) ><[] one) ->< -9) & -10) ><><# -6) []><# 9)\nLet B = ((((7 - five) ;& (-2 ><; nine)) >< ((-5 ;; four) +- (5 + ten))) []* (((-9 >< -6) ; (10 *>< 8)) + ((ten ><&+ -1) &; (one #[]* 5))))\nLet C = ((((((((((((((six &-# nine) * two) #-# -6) #+* -9) &* six) ><* two) [];& -2) [][]+ -2) -; -8) #&; -5) >< -10) &><[] 2) []- two) - nine).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:144", "request": "Consider the following new operations:\n\n$a ! b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ~ b$ equals $(a ! b)$ if $a - b > 0$; otherwise, it equals $-a ! -b$.\n$a ][ b$ equals $(a - b)$ if $a ~ b > 0$; otherwise, it equals $a + b$.\n$a : b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n\nLet A = ((((9 ! -9) ! (-1 * five)) * ((-9 * 4) ! (-8 : 2))) + (((ten ~ four) : (7 + -4)) * ((-5 : 5) ~ (-1 ~ three))))\nLet B = ((((6 ~ -9) + (-6 ~ four)) + ((-5 ][ one) + (-9 - -3))) + (((6 ! five) ~ (-9 ][ seven)) - ((-3 - -1) - (2 + -7))))\nLet C = ((((seven ! 9) ~ (10 * six)) - ((-6 ][ 6) : (-8 + -8))) : (((-3 ! -9) ! (-6 + three)) ! ((two - -1) : (3 ! -2)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:145", "request": "Consider the following new operations:\n\n$a ~ b$ equals $(a + a) - b$ if $b < 2$ and $(b + b) - a$ otherwise.\n$a ][ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a # b$ equals $(a ~ b)$ if $a + b > 0$; otherwise, it equals $a * b$.\n$a ; b$ equals $a # b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(a ; b)$ if $a - b > 0$; otherwise, it equals $-a ; -b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((((1 ;][* -9) - -4) *- -8) +->< -6) *><+ -5) -- ten) #~ 4) ><; -7) ][+# 9) *# -1) #;+ ten) ;; 9) + -3) ~+ six) *+ 7) ][~ 1) ~- -9) ->< -8) ><>< -5) ** 4)\nLet B = (((((((((((((((((6 *][- -6) - 7) #+- -3) -][+ 6) ><;][ -4) +][ 5) ~; -10) #+# 3) ][#>< -9) ][ 6) # -2) * one) * -10) *~# -9) +* four) *~ nine) ][ -10)\nLet C = (((((((((((((((((((nine # 5) ~# seven) -+ -10) ><><~ 6) ][][+ -8) ;## -4) ~; two) -][; 3) ][#~ -8) ~][ 1) -# 3) >< 4) ][ -4) ;#][ -9) ** -10) ** five) ; -10) - -1) - 10).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:147", "request": "Consider the following new operations:\n\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(a - b)$ if $a [] b > 0$; otherwise, it equals $-a - -b$.\n$a : b$ equals $(a - b)$ if $a >< b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $(2 - b) : a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $(b >< a) : b$ if $|a-b| < 2$ and $(a >< b) : a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((((((((((((7 #-][ -3) :#~ three) ~><# -1) +*- -6) *>< one) ~ 1) *>< 9) :[] 7) :][+ 8) >< -2) []-[] -6) * -7) : 2) :#~ five) ~ -2) ##[] -5) * six) *# -3) +*>< -9) : 1) ~*][ -4) ][><- -7)\nLet B = ((((-2 ][>< -3) >< (-8 # -1)) -- ((-3 []][ 2) :* (-4 * -6))) -][ (((-6 -+ two) ~+ (-1 + 7)) []+ ((-7 :~ 4) *# (seven [] -3))))\nLet C = ((((-6 *:[] -3) -+ (-8 ~: seven)) : ((-5 - 3) **>< (-7 ][ four))) ][[]: (((ten *][ -5) >< (-7 *][# 1)) *[] ((ten -* -1) []>< (-2 +* ten)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:152", "request": "Consider the following new operations:\n\n$a ! b$ equals $(a + a) - b$ if $b < 2$ and $(b + b) - a$ otherwise.\n$a & b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a @ b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\n$a ; b$ equals $(a * b)$ if $a & b > 0$; otherwise, it equals $a @ b$.\n$a ][ b$ equals $(2 - b) ; a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n\nLet A = ((((-2 [] two) @ (-7 * -8)) & ((-2 + -1) ! (4 & -3))) & (((-9 & 9) ! (-2 & -9)) ][ ((8 ; -2) ; (7 ! ten))))\nLet B = ((((three ! 10) - (1 + 7)) ! ((seven - -3) & (-3 @ -9))) * (((-4 + seven) ! (10 ; -5)) & ((-2 ; six) ; (-6 & 4))))\nLet C = (((((((((((((-7 ][ four) ! -2) & ten) ][ -3) - 1) - -3) [] -10) ; nine) * five) - eight) [] 1) ; 9) ! two).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:153", "request": "Consider the following new operations:\n\n$a : b$ equals $(b - a) + b$ if $|a-b| < 2$ and $(a - b) + a$ otherwise.\n$a [] b$ equals $(a : b)$ if $a + b > 0$; otherwise, it equals $a - b$.\n$a <> b$ equals $(a * a) + b$ if $b < 2$ and $(b * b) + a$ otherwise.\n$a ! b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $-a + -b$.\n$a & b$ equals $(2 <> b) - a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((-6 !*[] eight) && 3) []*][ -2) ][ -1) ][ two) :-& 1) - ten) !!][ -6) & three) :- -2) [][]* -4) *<> -3) <> 3) + -2) * -7) <><> four) ][! -5)\nLet B = (((((((((((((((((((((one ++<> one) *][- -7) ][& -4) []:<> 10) [] -7) :[]+ -8) <>*! five) ** -10) !][ 10) ! -10) +][ five) *<>[] nine) + -4) !: -4) <> -7) - -10) &[] -5) ][+ eight) & 6) !! -9) !-* 10)\nLet C = ((((nine ][!+ three) :- (one & ten)) [] ((-4 !- five) *- (1 &- -7))) !- (((five []<>- three) * (9 []& -1)) * ((six ][ nine) <> (four !][<> 3)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:157", "request": "Consider the following new operations:\n\n$a ; b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $a * b$.\n$a >< b$ equals $(a ; b)$ if $a + b > 0$; otherwise, it equals $-a ; -b$.\n$a [] b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a <> b$ equals $(2 [] b) >< a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $(a >< a) <> b$ if $b < 2$ and $(b >< b) <> a$ otherwise.\n$a ][ b$ equals $(b - a) [] b$ if $|a-b| < 2$ and $(a - b) [] a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((((((five ><[] two) *;+ -9) +[] 10) ; 6) * ten) <> -10) +[] 4) <>+ -1) ; -6) #* one) ;+>< ten) <> -1) <> 5) ;;; ten) ][><<> -7) []# -2) []][[] -1) ][* seven) *><* six) <><> 7) ][ six)\nLet B = ((((((((((((((((((((((three ][ one) ][ eight) [] -4) ><][* 7) *; -6) <> six) [] -5) ;[] nine) -<> -10) []][- two) <>[] three) <> 3) # -6) ; -4) ; eight) -* six) ][][ six) >< -3) ><+ two) +;* five) <>[]>< 9) ><+>< 3)\nLet C = (((((((((((four -+>< 9) - 2) * -1) ** seven) ][- -8) []><* ten) <>- 8) <>-; -5) -- -5) <> 7) ;[] three).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:158", "request": "Consider the following new operations:\n\n$a [] b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a : b$ equals $(a * b)$ if $a + b > 0$; otherwise, it equals $-a * -b$.\n$a ~ b$ equals $(b * a) [] b$ if $|a-b| < 2$ and $(a * b) [] a$ otherwise.\n$a @ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ! b$ equals $(2 @ b) ~ a$ if $a > b$ and $b$ otherwise.\n$a ][ b$ equals $(a + a) - b$ if $b < 2$ and $(b + b) - a$ otherwise.\n\nLet A = (((((((((((((-4 + 1) [] 10) : ten) @ -3) @ -4) @ four) [] -6) : -8) ~ 4) - -8) : -8) @ -7) @ 8)\nLet B = ((((((((((((((((three ~ 8) [] -4) ! -1) + nine) @ -5) ][ -2) ][ five) + -7) * 7) ][ eight) ! 7) - two) - three) @ four) [] nine) + -3)\nLet C = (((((((((((((((((((((((-3 [] -7) ~ -4) - two) ~ -2) + -3) ~ -8) ][ -7) * nine) - 10) ~ five) ][ -4) ~ -10) + -10) ! -3) - 6) ~ -2) ! -7) - -10) ! -8) [] -5) ~ -1) ][ -4) [] -2).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:160", "request": "Consider the following new operations:\n\n$a @ b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ~ b$ equals $(b - a) @ b$ if $|a-b| < 2$ and $(a - b) @ a$ otherwise.\n$a [] b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $a @ b$.\n$a >< b$ equals $(a @ b)$ if $a + b > 0$; otherwise, it equals $-a @ -b$.\n\nLet A = ((((nine >< 9) ~ (-9 @ two)) - ((2 [] 5) + (-5 * -4))) [] (((3 + 8) >< (-2 @ -1)) @ ((four @ 6) ~ (ten - 3))))\nLet B = (((((((((((-3 >< 9) ~ eight) @ -10) @ eight) + 1) + -2) * six) [] 5) ~ -2) + -8) [] 7)\nLet C = ((((-1 * 8) @ (ten ~ two)) + ((-8 >< -6) [] (9 >< three))) ~ (((-5 [] -5) - (-10 [] 9)) + ((two - 7) >< (-4 + -9)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:163", "request": "Consider the following new operations:\n\n$a # b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $a * b$.\n$a ; b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ][ b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n$a <> b$ equals $(a - b)$ if $a ][ b > 0$; otherwise, it equals $a + b$.\n$a ~ b$ equals $(a # a) ][ b$ if $b < 2$ and $(b # b) ][ a$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((((((seven +- -2) +<># 5) ][][ -1) ][ -8) <>][ -9) ~ -1) ;][ -4) * ten) - two) ][ 6) ~~][ -7) ~<> -4) <> -8) ;~* -2) <>-~ eight) ][ -2) <>*~ one) -~* -3) -# 6) ; 9) * nine)\nLet B = (((((((((((((((((1 - -8) -+; -5) <>* seven) +<> 8) <> one) - -4) ~ -9) ~ -1) ][*][ three) #;][ 4) *<> four) ~#+ two) +- -4) <> 9) # eight) ;* -5) #; eight)\nLet C = ((((((((((((((((((((ten ~~ one) ~~ -4) # four) <>~- -1) <>- -4) ;- -8) +<> -10) ][# 5) ;~- -4) <> 10) *-; 7) ~ -2) -* 10) ~;][ three) ### -2) - one) ; -3) ][+~ two) ;#* six) #<>][ 4).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:164", "request": "Consider the following new operations:\n\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(a * a) + b$ if $b < 2$ and $(b * b) + a$ otherwise.\n$a >< b$ equals $(a * b)$ if $a [] b > 0$; otherwise, it equals $-a * -b$.\n$a # b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a >< b$.\n$a @ b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $(b + a) ~ b$ if $|a-b| < 2$ and $(a + b) ~ a$ otherwise.\n\nLet A = ((((-6 + -8) # (-4 * -3)) * ((2 [] four) - (-8 @ 10))) ~ (((-3 ][ -2) * (three @ eight)) ][ ((two >< 4) * (3 * one))))\nLet B = (((((((((((((((((((four # -2) @ one) @ 6) * -7) * ten) # -4) * eight) ][ -6) [] 7) ][ -7) * -4) >< eight) - seven) * 1) @ -4) * three) ][ -7) * -8) ~ 9)\nLet C = ((((((((((((((((((((((nine @ -5) + -5) # -4) + 5) ~ -7) [] -5) - 7) ][ 9) @ 10) ~ -2) [] nine) [] -7) ~ -9) + -5) # 10) ~ one) # -4) >< 5) [] -10) >< 3) # 9) + -9).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:167", "request": "Consider the following new operations:\n\n$a ! b$ equals $(a + a) * b$ if $b < 2$ and $(b + b) * a$ otherwise.\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ; b$ equals $(b ! a) - b$ if $|a-b| < 2$ and $(a ! b) - a$ otherwise.\n$a @ b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-9 @ -2) ++* (-2 @ eight)) - ((-6 ; 4) * (2 !;- 4))) -+ (((-4 +&- -2) - (-3 ++@ 5)) +@! ((7 -@ -1) &! (eight - 8))))\nLet B = ((((eight @& 7) ;@@ (6 & -3)) - ((-10 * -1) ;& (-8 & -10))) +; (((4 !- 7) +;+ (-10 &&& nine)) &+@ ((-1 &@ -8) -+ (-8 * -1))))\nLet C = ((((eight !-+ -9) +- (seven +@+ 6)) * ((-10 +;& six) + (one ; -7))) @ (((one & -7) & (-1 + 8)) & ((-1 ; -7) - (nine !!- -6)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:168", "request": "Consider the following new operations:\n\n$a ; b$ equals $(b - a) * b$ if $|a-b| < 2$ and $(a - b) * a$ otherwise.\n$a : b$ equals $(a ; b)$ if $a - b > 0$; otherwise, it equals $-a ; -b$.\n$a @ b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a * b$.\n$a ! b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(a ][ a) + b$ if $b < 2$ and $(b ][ b) + a$ otherwise.\n\nLet A = ((((10 ; -4) : (three ][ four)) - ((three : -1) * (-6 ; -6))) @ (((eight >< seven) ! (2 ][ -4)) ! ((-5 * 10) >< (-5 ][ 2))))\nLet B = (((((((((((((((one >< -3) ][ -6) + 1) @ -8) @ 5) ][ 4) @ -8) - 9) >< four) ][ -3) + -8) : 8) ][ 3) * -9) >< -4)\nLet C = ((((five * four) >< (-4 - -10)) ! ((-9 @ 2) ! (-9 - -5))) : (((10 - -2) : (two >< 9)) + ((-8 ][ -5) ! (-2 ; five)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:170", "request": "Consider the following new operations:\n\n$a : b$ equals $(a + a) * b$ if $b < 2$ and $(b + b) * a$ otherwise.\n$a >< b$ equals $(a * b)$ if $a : b > 0$; otherwise, it equals $-a * -b$.\n$a ~ b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a # b$ equals $(a - b)$ if $a ~ b > 0$; otherwise, it equals $a : b$.\n\nLet A = ((((4 + 4) ! (7 # eight)) ~ ((five ! four) * (-7 : -6))) + (((eight >< three) : (-3 - three)) # ((-10 + -8) ! (-4 # -10))))\nLet B = ((((((((((((((((-4 # -6) ~ -7) - two) >< -3) ~ three) + ten) >< 4) + -6) + 9) * two) * -9) ! -1) : 9) # six) ~ 6) ! 6)\nLet C = (((((((((((((((((((((two - -5) : -3) ~ 7) + -1) >< 10) : -4) * -7) # four) # -9) + 9) * -8) >< -9) ! one) # -6) ~ -8) # -2) >< -3) + 3) ! eight) - -2) - nine).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:171", "request": "Consider the following new operations:\n\n$a <> b$ equals $(a * a) + b$ if $b < 2$ and $(b * b) + a$ otherwise.\n$a ! b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $-a + -b$.\n$a @ b$ equals $(a + b)$ if $a <> b > 0$; otherwise, it equals $a - b$.\n$a >< b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((-10 *+ nine) <> four) @ 6) ! -10) -!+ -2) @ -2) ><<>+ -6) -@>< -9) ><* 1) <>@ five) +! -1) ! 8) -* 6) -><+ -3) ><@>< 3) +-+ nine) >< four)\nLet B = ((((-3 @ -8) -<> (two <> -6)) *-- ((-5 >< -1) -- (4 - 3))) ++ (((ten @ -3) *@+ (10 *@- 6)) ><>< ((-6 <>@<> 5) >< (7 *- -2))))\nLet C = ((((-3 +*+ 2) + (8 -* -10)) *- ((-9 ->< -3) @- (10 <>- -8))) !- (((-4 <> -6) @! (-1 **>< nine)) - ((two @! five) @<>! (7 !+ -1)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:172", "request": "Consider the following new operations:\n\n$a ~ b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a <> b$ equals $(2 * b) ~ a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $(a - a) ~ b$ if $b < 2$ and $(b - b) ~ a$ otherwise.\n$a >< b$ equals $(a + b)$ if $a <> b > 0$; otherwise, it equals $-a + -b$.\n$a : b$ equals $a - b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a & b$ equals $(a <> b)$ if $a : b > 0$; otherwise, it equals $a >< b$.\n\nLet A = ((((-8 ! nine) ! (6 <> -9)) ! ((-10 + -8) ~ (five & five))) * (((8 <> -8) >< (two * 2)) <> ((9 <> -10) - (8 >< -5))))\nLet B = ((((six * three) ! (five & -5)) ! ((-5 - -6) - (-2 : -10))) + (((-6 >< two) ! (four ! 1)) ! ((2 <> seven) & (-7 - five))))\nLet C = (((((((((((((((((((-9 + one) ~ 10) >< -9) ! 2) + eight) ~ -8) * -8) ~ -1) * -1) ! five) & -3) ~ nine) >< seven) & 8) + one) ! -6) ! -9) ~ 3) * -5).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:173", "request": "Consider the following new operations:\n\n$a & b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a @ b$ equals $(a & b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a # b$ equals $a @ b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((((((((((-6 @ six) -& 4) --& -6) @## one) *!# one) #& -3) -! -10) & -2) * 3) *@ four) & -3) *# 10)\nLet B = ((((((((((((((((((((-5 - 9) * three) -+ -9) #* -2) &!# one) # -7) -# -4) + two) +- -3) #*# -7) #& five) # -6) -&+ 4) @ -7) +!- -1) #*+ -3) -- 2) * two) @ 2) @- -2)\nLet C = ((((((((((((-8 #*@ -9) !# eight) @ -4) ** -9) !+ 8) *@ -1) +!& 3) !-# five) +!! ten) - -6) @+@ one) & 5).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:174", "request": "Consider the following new operations:\n\n$a & b$ equals $(b + a) * b$ if $|a-b| < 2$ and $(a + b) * a$ otherwise.\n$a >< b$ equals $(a * a) & b$ if $b < 2$ and $(b * b) & a$ otherwise.\n$a ; b$ equals $(2 >< b) & a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n\nLet A = ((((((((((((((((((1 >< 4) + -9) >< -3) * -5) * -7) - 1) - 9) ; 3) ; -9) * seven) - 2) >< 4) + five) * -1) [] 8) [] nine) & -9) ; -4)\nLet B = ((((-1 [] -1) & (five & -4)) - ((3 * 6) + (-2 + 8))) & (((-1 ; 2) + (9 * seven)) + ((4 + -7) - (3 * -6))))\nLet C = (((((((((((((((((-5 ; 6) >< seven) ; one) - 2) & -7) * 5) [] 6) ; three) ; five) ; 5) & seven) * -6) * -3) + -8) [] -4) ; -4) + ten).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:175", "request": "Consider the following new operations:\n\n$a <> b$ equals $(a + b)$ if $a * b > 0$; otherwise, it equals $-a + -b$.\n$a # b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a @ b$ equals $(2 * b) # a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $a @ b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((8 @ 6) [] 1) +@* -9) @<>+ ten) *# -5) <>* -7) #* -2) + eight) *<>@ two) #+ -4) +*- seven)\nLet B = ((((5 @ three) #+# (-10 - -10)) +<>- ((-8 <>*- 9) - (-6 # -3))) *@+ (((-7 @[]- five) @ (-2 *#+ 2)) -+ ((six []+ -4) *@* (1 #- -7))))\nLet C = ((((-5 [] -7) <>* (-3 # -4)) #<>[] ((3 ** -7) # (three #+[] eight))) * (((5 *@ -1) <>-[] (1 +* 7)) *@+ ((ten [] four) +- (7 @<> -2)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:177", "request": "Consider the following new operations:\n\n$a ! b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $-a - -b$.\n$a & b$ equals $(2 * b) + a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $a + b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(a - b)$ if $a # b > 0$; otherwise, it equals $a + b$.\n$a ~ b$ equals $(a >< a) - b$ if $b < 2$ and $(b >< b) - a$ otherwise.\n$a @ b$ equals $(a & b)$ if $a >< b > 0$; otherwise, it equals $a # b$.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-4 -!! 3) @+ (-3 !- -4)) ~#! ((2 + eight) *# (8 ## -4))) ~#- (((1 ~# -8) +& (-9 ~&! one)) *@@ ((-9 >< -8) & (8 +& -6))))\nLet B = (((((((((((((((((((((5 !! 7) ->< ten) ><~@ 7) +# nine) -@ -1) >< -5) +!* five) #!>< -3) !* -7) ><+~ -8) +* -4) +*& -10) -~@ -5) ! three) -+>< -1) -!* -10) @@>< 9) + -2) @& six) -@ -3) >< 2) &!+ -2) # -9) *&! 1) ~+* 3) & 8) @& -8) &- -6) ~@ -9) & 4) !* 2) !#@ 9) *-+ three) & -10) -#* -2) &#& six).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:184", "request": "Consider the following new operations:\n\n$a <> b$ equals $(a + a) - b$ if $b < 2$ and $(b + b) - a$ otherwise.\n$a # b$ equals $(a + b)$ if $a - b > 0$; otherwise, it equals $-a + -b$.\n$a ! b$ equals $(b * a) # b$ if $|a-b| < 2$ and $(a * b) # a$ otherwise.\n$a @ b$ equals $(2 # b) - a$ if $a > b$ and $b$ otherwise.\n$a [] b$ equals $a * b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n$a >< b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n\nLet A = (((((((((((((-5 * -9) <> 10) + -8) @ -5) [] 6) @ 3) [] -8) <> -8) @ 2) >< -1) # -3) @ -4) ! -2)\nLet B = (((((((((((((((-2 # 3) - 4) - 8) @ 3) >< ten) @ -8) [] -7) @ -4) * two) # -8) @ five) [] five) * 6) <> four) @ -10)\nLet C = ((((8 * three) <> (four [] -4)) @ ((4 * -5) * (6 - -1))) >< (((10 <> 2) # (-6 >< three)) * ((-3 # -2) * (-6 # 3)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:185", "request": "Consider the following new operations:\n\n$a @ b$ equals $(a * b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a # b$ equals $(a - a) @ b$ if $b < 2$ and $(b - b) @ a$ otherwise.\n$a & b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a [] b$ equals $(2 * b) + a$ if $a > b$ and $b$ otherwise.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = (((((((((((((((((((((((five - -4) []+ 10) & -8) &&- nine) @ 5) []@ nine) -+ 7) - -6) & five) & five) + 5) -- ten) *&+ five) *+ one) - -4) [][]* -8) []#& -9) *-# -1) +& -1) # -9) - -4) -- -6) [] 8)\nLet B = ((((3 +& 9) # (-9 @@[] -1)) []-@ ((9 []-- -3) * (eight #- 6))) -# (((7 [] six) -# (10 & two)) + ((-7 [] -10) @ (six * 10))))\nLet C = ((((-9 @# -10) + (7 ##+ -10)) # ((6 *@- seven) +[]+ (-1 @@# three))) + (((three -+@ -7) &[] (-7 + -2)) #*- ((-2 + -8) ## (9 + -2)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:186", "request": "Consider the following new operations:\n\n$a [] b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a ][ b$ equals $(a * a) [] b$ if $b < 2$ and $(b * b) [] a$ otherwise.\n$a ; b$ equals $(a - b)$ if $a ][ b > 0$; otherwise, it equals $a [] b$.\n$a <> b$ equals $(2 * b) - a$ if $a > b$ and $b$ otherwise.\n\nLet A = (((((((((((((((-7 <> seven) ][ -1) - 3) ][ six) ][ 7) [] nine) <> -5) ; -8) ][ -8) * -5) ; -6) - 8) * -2) ; -5) + 1)\nLet B = ((((4 + three) ][ (two <> eight)) + ((-1 + 7) ][ (nine * six))) * (((6 ; -3) [] (7 <> two)) ][ ((-3 - 1) * (three ; -3))))\nLet C = ((((((((((((((((((-8 * -1) <> ten) [] 8) + -5) - nine) [] eight) <> one) ; four) <> -7) ; 6) [] five) * -1) ][ eight) ][ -7) * 3) + -9) * 2) * 6).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:188", "request": "Consider the following new operations:\n\n$a [] b$ equals $(a - a) * b$ if $b < 2$ and $(b - b) * a$ otherwise.\n$a >< b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ; b$ equals $(a * b)$ if $a + b > 0$; otherwise, it equals $a >< b$.\n$a ~ b$ equals $(a - b)$ if $a * b > 0$; otherwise, it equals $a + b$.\n$a # b$ equals $(a * b)$ if $a ~ b > 0$; otherwise, it equals $-a * -b$.\n$a ! b$ equals $a [] b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((-2 # eight) * (ten - -5)) # ((4 ; 3) ! (-4 >< seven))) ~ (((-9 * -8) ~ (-9 >< one)) + ((three ; four) + (4 # -3))))\nLet B = (((((((((((((-6 >< 5) - seven) * -4) ~ -2) ~ six) [] 6) + -2) - 1) # -3) # -8) - -6) ! one) ! 2)\nLet C = (((((((((((((((((((((-1 ! ten) ! 3) + six) >< -1) [] 1) # ten) - one) * seven) - -2) # -7) - -6) ~ -5) >< four) * 6) * -4) >< five) >< -9) ! nine) * four) ; 2) >< -3).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:190", "request": "Consider the following new operations:\n\n$a [] b$ equals $(a - b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a @ b$ equals $(a [] b)$ if $a - b > 0$; otherwise, it equals $a + b$.\n$a : b$ equals $(a - a) [] b$ if $b < 2$ and $(b - b) [] a$ otherwise.\n$a # b$ equals $a @ b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = (((((((((((((((((((three @ 6) @ -9) # -1) - -1) : -1) : -10) [] -1) # -9) @ -9) @ -9) * -5) @ one) - two) : -8) [] -1) [] -9) # 10) : 1) * 3)\nLet B = ((((-8 * -3) # (one # -8)) - ((two * -8) @ (-5 * 9))) [] (((one + 7) # (-6 [] -6)) : ((two # -7) - (9 * -5))))\nLet C = (((((((((((((5 + three) [] -6) + 2) # -8) [] -4) # -3) @ -6) * seven) : -7) # four) : ten) * four) * 9).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:191", "request": "Consider the following new operations:\n\n$a ~ b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a # b$ equals $(b * a) + b$ if $|a-b| < 2$ and $(a * b) + a$ otherwise.\n$a <> b$ equals $(2 ~ b) # a$ if $a > b$ and $b$ otherwise.\n$a ! b$ equals $(a ~ a) * b$ if $b < 2$ and $(b ~ b) * a$ otherwise.\n$a ; b$ equals $(a <> b)$ if $a # b > 0$; otherwise, it equals $-a <> -b$.\n$a & b$ equals $a ~ b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((five ~+ -4) ~ (-1 ~<> 1)) * ((-1 ; -9) & (5 ! -6))) + (((-5 - -5) + (-8 * -2)) !& ((-1 ~ 10) * (-1 -& -1))))\nLet B = ((((((((((((((((5 ~~ -2) +<> 7) *; five) + one) <>; 6) !<>- -2) ;!! 1) - -8) &~ four) -+ -3) *!+ -9) !~<> -7) + -10) ; -7) !<> five) <> 9)\nLet C = ((((-2 ##<> 1) -! (-8 *<> seven)) -; ((-7 & -5) ;! (6 ; four))) +!+ (((8 --& eight) -# (7 & -9)) +!; ((-6 ; -1) ~-# (four + -4)))).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:194", "request": "Consider the following new operations:\n\n$a >< b$ equals $(a * b)$ if $a - b > 0$; otherwise, it equals $-a * -b$.\n$a # b$ equals $(b + a) - b$ if $|a-b| < 2$ and $(a + b) - a$ otherwise.\n$a [] b$ equals $(a # a) + b$ if $b < 2$ and $(b # b) + a$ otherwise.\n$a ! b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ; b$ equals $(a ! b)$ if $a * b > 0$; otherwise, it equals $a # b$.\n$a @ b$ equals $a [] b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\n\nLet A = ((((-4 + -2) + (-3 - -7)) [] ((-9 >< 5) ! (-10 ; two))) [] (((-5 - -4) ! (10 - 8)) [] ((five @ nine) [] (10 # -4))))\nLet B = ((((-2 - -8) * (-9 + -6)) ! ((-4 - -2) ; (eight >< six))) @ (((7 # -1) ; (-8 ! 5)) ; ((two >< -7) >< (-2 [] -7))))\nLet C = (((((((((((((((((((((-7 ; six) # 6) * -4) ! 7) + -10) * -5) * -9) + 3) ! 3) ! -4) ! -8) # -7) + -9) ; 8) ; -8) @ -2) ; -9) * 10) * 2) >< seven) - three).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:multistep_arithmetic:195", "request": "Consider the following new operations:\n\n$a ; b$ equals $(2 - b) + a$ if $a > b$ and $b$ otherwise.\n$a # b$ equals $min(a, b)$ if either $a$ or $b$ is prime and $max(a, b)$ otherwise.\n$a ][ b$ equals $(a - b)$ if $a + b > 0$; otherwise, it equals $a + b$.\n$a & b$ equals $(a * b)$ if $a # b > 0$; otherwise, it equals $-a * -b$.\n$a <> b$ equals $a # b$ if $gcd(a, b) == 1$ and $gcd(a, b)$ otherwise, where gcd stands for greatest common divisor.\nFor brevity, we use $a b$ to denote $(a op1 b) op2 b$. For example, $4 +* -5$ means $(4 + -5) * -5$ and $4 *-- -5$ means $(4 * -5) -- -5$.\nLet A = ((((-8 ;* -3) ;*+ (seven <>* -8)) ;;+ ((-3 ][;# -3) ][*- (five *&& -3))) ; (((6 - 4) ; (eight *#* 10)) ][ ((nine ][ 5) &<> (four <>* 8))))\nLet B = (((((((((((((((((three **<> -9) ][# 3) + -4) +;* -4) -&][ -3) &- 5) <> 7) & -8) & -7) <>- 4) ;#][ 9) + 10) # 9) ][ six) *][ 8) &- -6) #; -7)\nLet C = ((((((((((((((6 &&& -6) + one) * four) + -10) +; 10) -+ -7) &# -1) +][* -5) ][<>* -9) & -1) &&+ -5) # -1) ][ -10) ; nine).\nCompute A + B - C. Your final answer must be in number form.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:004", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A dragon is holding flowers and looking shyly at a knight who is peeking out from a castle door.\n\n Which of the following captions is the funniest?\n(A) Sorry, I only date Non-smokers.\n(B) Look, damsels say all sorts of things in distress.\n(C) But how would we raise the children?\n(D) If my dad asks, your favorite movie is Dragonslayer.\n(E) Huh, I thought from the app you'd be taller.\n(F) You know the is a meet and greet, not a meet and eat.\n(G) Be patient; she's on the line with St. George.\n(H) Oh... uh, hi. Ali is getting ready and will be out in a moment. Meanwhile, tell me, what do your parents do?\n(I) I'm a drag queen, not a dragon queen!\n(J) I was given to understand you'd be a frog.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:005", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two people are standing next to a large hot dog-shaped vehicle at a gas station. One person appears to be showing something on a tablet to the other person.\n\n Which of the following captions is the funniest?\n(A) You’re low on oil but high in sodium.”\n(B) Don’t think the old dog can cut the mustard any more.\n(C) Take it to Nathan’s.\nAsk for the Deli Style.\n(D) I wish, but I need Grey Poupon. We're from New York.\n(E) You’re low on mustard. You use Dijon or regular?\n(F) Looks like you're overdue for a mustard change\n(G) How long have you been driving with the Check Condiment light on?\n(H) You are down two quarts of Dijon. If you don’t fill it up, it will get wurst.\n(I) More than an oil change. I would recommend vegan.\n(J) I see the problem now--this car was made in Chicago, you're not supposed to use ketchup.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:006", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A caveman is standing inside a cave, looking at a modern woman who is sitting at a table with a cup of coffee. There is a modern light fixture hanging from the ceiling.\n\n Which of the following captions is the funniest?\n(A) I just needed to take a quick break in a place my kids would never look for me. I won’t be long.\n(B) The market is right. I say we sell and move to the city.\n(C) It’s not a man cave; it’s just a cave.\n(D) You looked different on Facebook.\n(E) 'Yes Robert I bought a chair. I was sick of my options being between a rock and a hard place.'\n(F) Actually it’s my favorite underground coffee shop, too.\n(G) Grog,your boss called. You return to the office next week.\n(H) As the architect I can assure you it has a timeless beauty.\n(I) This palaeolithic themed Airbnb is quite authentic\n(J) I feel the relationship needs to evolve\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:008", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two people are sitting at a table in a restaurant, having a conversation over glasses of wine. One of them is wearing a suit of armor.\n\n Which of the following captions is the funniest?\n(A) In vino veritas? Surely you joust.\n(B) That's not what I meant by a nice night out and you know it.\n(C) So, do you like horses?\n(D) Yes, I wrote that in my profile but I didn’t mean it literally.\n(E) Sorry. It’s laundry day.\n(F) Younger men haven't panned out, so I’m trying the Middle Ages.\n(G) Cougar seeks millennial” didn’t mean the year 1000\n(H) Oh, really? You think men are under attack?\n(I) So that’s your best suit?\n(J) Frankly, you look much older than your profile photo\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:010", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is standing on a cloud, facing a large figure who appears to be God, sitting behind a podium. The man is wearing colorful patchwork pants.\n\n Which of the following captions is the funniest?\n(A) Wearing these pants should be enough punishment.\n(B) Uh...it's after Labor Day?\n(C) And my wife said I would go to Hell if I ever wore these pants.\n(D) What Password?\n(E) Really, I didn't mean to die in these pants\n(F) Does Joseph abide by this dress code, too?\n(G) I ordered an Amazing Technicolor Dreamcoat, but I got these.\n(H) I think you might enjoy meeting Piet.\n(I) Even I haven't seen those pants before.\n(J) I said checkered pasts! PASTS\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:020", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two trees are standing next to each other. One tree has a face and is looking at the other tree, which also has a face and is wearing a tie.\n\n Which of the following captions is the funniest?\n(A) 2 birds are doing it in my branches. Hence, the tie on the doorknob.\n(B) Next she's talking about my getting a trim and throwing out the squirrels.\n(C) It’s part of my fall look.\n(D) It helps me feel more professional when I’m working from home.\n(E) She dresses me up, but we never go anywhere!\n(F) Sir, you can’t come in here without a tie.\n(G) I just wanted to dress up one more time before I go bald again this fall\n(H) Well it's just a seasonal position.\n(I) I got the job after the other guy got the axe.\n(J) Funny story, but it did start initially with a yellow ribbon.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:024", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A woman is lying in bed reading a book. A man is standing next to the bed with a drink in his hand, speaking into a microphone.\n\n Which of the following captions is the funniest?\n(A) I’ll be doing all next week on the couch.\n(B) I would thank you for coming, but...\n(C) Let me know if you've heard this one.\n(D) Thank you. I'm your husband and I'll be here every night this week\n(E) Honey, do I really have to introduce the next act?\n(F) Well ladies did you hear the one about the couple who had sex once a year?\n(G) Great to be here at Bob and Bab's bedroom tonight! Hey, guys! Anyone ever get married to your soulmate, only to find out that she suddenly finds you repulsive? Show of hands!\n(H) I didn't complain when YOU started working from home.\n(I) I've had a lot of requests, but I'm going to sing anyway.\n(J) I’ll be here all week.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:025", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A couple is sitting in an office, talking to a man dressed as a wizard who is sitting behind a desk. The office has space-themed posters on the walls.\n\n Which of the following captions is the funniest?\n(A) Where do you see yourself in a thousand years?\n(B) I’ll take your case but I must warn you that my fees are astronomical.\n(C) And our company prides itself on being down to earth.\"\n(D) Here’s my fresh take. You’re Mars, she’s Venus.\n(E) Your son's spelling could use some work.\n(F) I know our packages seems a little far out, but I guarantee you that we're down to Earth when it comes down to costs.\n(G) No no, the Voodoo economist is down the hall.\n(H) Tax preparation is my side job. The rest of the year I'm a wizard.\n(I) Yes, black holes matter.\n(J) I could see how you might have some lingering concerns, but I swear on the grave of Robert E. Lee, the new Rainbow Klan is committed to the ideals of Diversity, Equity and Inclusion.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:026", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A cowboy on a horse is approaching a saloon. Next to the horse, there is a piano tied up as if it were another horse.\n\n Which of the following captions is the funniest?\n(A) Looks like someone’s in town to settle a score.\n(B) This is somebody's first rodeo.\n(C) Gunfight at the O.K. Chorale?\n(D) Well played!\n(E) They say he rides tall in the bench and plays a mean sonata\n(F) Well now, that's a right pretty filly. Shame she's only got three legs.\n(G) Must be one of them dueling piano bars I s'pose.\n(H) So, Liberace’s here.\n(I) Last time she got loose she went on a prolonged solo.\n(J) Looks like he’s traveling solo.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:027", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A giant piano has crashed into a house, causing significant damage. Two people are standing on the sidewalk, looking at the destruction in disbelief.\n\n Which of the following captions is the funniest?\n(A) Ding dong. See, the pitch is dead.\n(B) Now there was an encore that brought the house down.\n(C) You signed up for Amazon's drone service too?\n(D) I'll buy it for a dollar.\n(E) Bezos needs to work on those drone deliveries.\n(F) Amazon drone delivery,” you said. \n“It’s so convenient,” you said.\n(G) We may need to get it tuned....\n(H) It could be worse. It could be raining.\n(I) Are those the new house keys you ordered?\n(J) At least you didn’t leave the oven on.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:028", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A person wearing an apron and a cap is standing in a doorway holding a stack of pancakes. A woman is walking by and looking at the person with the pancakes.\n\n Which of the following captions is the funniest?\n(A) Psst... last vegan tiramisu 'til Chelsea.\n(B) Sure, they're all natural ingredients. Everything off the back of the truck is natural.\n(C) Care for a decadent indulgence, ma'am?\n(D) Just keep walking lady ! Nothing to see here but a creepy dude and his sweet delights .\n(E) It may be a pile of shit, Gladys, but there's a cherry on top.\n(F) In case he doesn't get the pardon, I've baked a file in the cake.\n(G) Parents, teachers, ex-wives all yelling at me \"Artie, you take the cake!\" Finally I did.\n(H) Oh god, Jerry, enough, the divorce is final.\n(I) Psst! Unhealthy food, twenty bucks.\n(J) Psssst lady. 500 empty calories? $7.00.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:032", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is rowing a boat on dry land, while another man, who looks exhausted, is crawling towards him under the hot sun.\n\n Which of the following captions is the funniest?\n(A) And I thought I was lost.\n(B) Long time no sea.\n(C) I can't believe you passed me.\n(D) Row, row, row all you want. Just, for God's sake, stop singing.\n(E) Is this the way to the Climate Accord?\n(F) You're too late. This hasn't been an ocean for 10,000 years.\n(G) For the last time, I'm not going to drown!\n(H) Pass on the right!\n(I) Watch your wake\n(J) Don't you know any other songs?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:035", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A group of vultures is sitting in a lecture hall, each in front of a laptop. Two humans are standing at the front of the hall, observing the scene.\n\n Which of the following captions is the funniest?\n(A) They're close to the solution of why chickens cross the road.\n(B) Due to budget cuts, we can now only afford to pay respondents in breadcrumbs.\n(C) If it looks like a duck test, it's a duck test.\n(D) When I snap my fingers, you will go home, eat breadcrumbs and crap all over the park.\n(E) TRUMP'S ONLINE APPROVAL POLLING\n(F) The feathers don't begin to fly until the bird seed icon appears.\n(G) Yeah, touch-typing - I get by just fine with hunt-and-peck.\n(H) They look confused, is the Wi-Fi working?\n(I) Please tell me they're proficient in Excel.\n(J) So much for diversity\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:036", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is lying on a couch with a large bell covering his torso. A woman, possibly a therapist, is sitting in a chair next to him, looking at him.\n\n Which of the following captions is the funniest?\n(A) You know, you'd feel a lot better if you just got it off your chest.\n(B) You seem a little depressed today.\n(C) See? Farting cured!\n(D) Clearly, the problem is your mother.\n(E) Well, usually when someone tells me that, it's a metaphor.\n(F) This isn't psychology. It's simple physics.\n(G) Sorry. The first session doesn't usually get this heavy.\n(H) Anyway, enough about my father. What did you say you were here for?\n(I) I'm sorry, your insurance doesn't cover removal.\n(J) And then,after I got my hair done,I went to the market and bumped into Madge who told me Harley's gonna get surgery on his prostate,and I told her...\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:037", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man wearing a crown and a royal robe is walking down the street with a woman. Other pedestrians are walking by, seemingly unfazed by his attire.\n\n Which of the following captions is the funniest?\n(A) Promise you’ll take it off when we get there.\n(B) Okay, I'll call you Harry, formerly known as Prince.\n(C) Don't worry....I'll find SOMETHING to be King of.\n(D) Charles, your mother is going to be so mad.\n(E) Now I know how Harry and Meghan feel.\n(F) I bet you forgot to feed the crocodiles again\n(G) At least they let you keep the suit.\n(H) Whatever happened to the money we wired to your cousin in Nigeria?\n(I) The thing I like the least about it is the elections.\n(J) No, I’m saying it’s the wrong outfit for ‘Hamilton’.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:040", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A large fish is sitting on a barstool at a bar, talking to the bartender. The bartender is standing behind the bar, looking at the fish.\n\n Which of the following captions is the funniest?\n(A) Don't tell me what I drink like.\n(B) There's a reason it's a cliche.\n(C) Of course I'm thirsty. I'm a fish out of water.\n(D) Then one day you wake up and you have ten thousand children and a mortgage that's under water.\n(E) Just water, please. and make it a double.\n(F) Another one for the halibut.\n(G) Let me guess - one of those koi meets girl, koi loses girl stories?\n(H) As you can see, I do.\n(I) So, how'd a guy like you end up working in an underwater bar?\n(J) Make it a double, my wife left me and hooked up with a fisherman.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:041", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is sitting at a desk in an office with a cityscape view. He is talking to another man in a suit who is sitting behind the desk. Next to the man in the suit, there is a dog sitting on a chair.\n\n Which of the following captions is the funniest?\n(A) It's the standard pre-puptial agreement\n(B) You get the house, he gets the kids!\n(C) After you sign this paperwork, you will be out of the doghouse.\n(D) He wants you to sign off before he’ll shake.\n(E) Looks like you don't have a dog in this fight.\n(F) We have a very formal process... unfortunately our last dog walker owned several cats\n(G) She says you get to keep the doghouse.\n(H) This is the homework your son alleges my client ate.\n(I) We'd like to thank you for your service, Johnson, but Rover is much more popular with the clients.\n(J) Perhaps it's time for you to review the Belly Rub clause.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:042", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two scientists are observing a mouse in a cage. The mouse is lying on its back with a halo above its head, and there are angelic figures in the background.\n\n Which of the following captions is the funniest?\n(A) I am glad we took him to Rome last year!\n(B) We call it Ratican City.\n(C) I don’t think we’ll have to rely on grants anymore.\n(D) What does it look like I’m doing, asshole?\n(E) And all he did was watch the tutorial?\n(F) His sculptures aren't bad either.\n(G) Wait until they see his version of the statue David!\n(H) He wants to be called “Michael” instead of “Mickey”.\n(I) I call him Michelangelo, but he prefers Ratso.\n(J) I think our genetic engineering team is on to something.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:043", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is sitting at a table in a restaurant, reading a menu. A large, wet bear is standing next to the table, dripping water onto the floor.\n\n Which of the following captions is the funniest?\n(A) I'll have the penguin.\n(B) You said you wanted it fresh!\n(C) Honestly, you don't bear much resemblance to your profile picture...\n(D) I told you to stay in the car and I would bring you your doggie bag.\n(E) Thanks for checking on the salmon. How's the lamb?\n(F) Maybe a little less rare.\n(G) Is the salmon fresh caught or farm raised?\n(H) Ok, let's skip the salmon.\n(I) Thanks for coming out, chef, but now I understand why the fish was undercooked.\n(J) I believe table 3 ordered the salmon.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:046", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Anthropomorphic vegetables, including broccoli, asparagus, and a tomato, are sitting at a table in a restaurant, eating meals. In the background, a human couple is also dining and looking at the vegetables.\n\n Which of the following captions is the funniest?\n(A) Somebody should tell the kitchen that their vegetable have gone bad.\n(B) It could get really messy if we have to Heimlich the tomato.\n(C) You are what what you eat eats.\n(D) I'm beginning to have my doubts about 'farm to table' dining.\n(E) I liked it better when they consumed dead animals underground through roots.\n(F) I didn’t know this was a farm-to-table restaurant.\n(G) Well, I do see that it can be a tough choice between veganism and cannibalism.\n(H) Well, would you rather they ate dirt and manure?\n(I) Omg, is this a veggie burger? Oh, no, Uncle Joe!\n(J) My spleen burger is delicious, how are your American thighs?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:047", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is standing outside an elevator, looking at another man who is inside the elevator with an elephant. The elevator doors are open, and the elephant is taking up most of the space inside the elevator.\n\n Which of the following captions is the funniest?\n(A) Sorry! Gotta deliver these to an awkward conversation on the fifth floor.\n(B) Yes we are your upstairs neighbors- how did you know?\n(C) I would get the next one. Someone has farted in this one.\n(D) At least it's no longer in the room . . .\n(E) Turns out, the weight limits in these things are more of a suggestion.\n(F) Turns out, some Amazon Prime Day deals should not be made after a large glass of wine.\n(G) Hey, Chuck, how’s it goin?\n(H) Is that what you’re wearing tonight?\n(I) Well, I was reading Babar to the kids, and....\n(J) Yeah, I know - but he thinks there are lions on the stairs.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:048", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man with large butterfly wings is hovering in the living room while another person sits on the couch looking at him in surprise.\n\n Which of the following captions is the funniest?\n(A) Ok...you're carrying this social butterfly thing a little too far.\n(B) Go back in your coroom.\n(C) Please stop drinking Red Bull\n(D) Stop hovering over me.\n(E) Gregor! Shoes off!\n(F) Someone’s feeling social today!\n(G) Is it me or my sweater you're eyeing so hungrily .\n(H) I call this look 'the butterfly affect.'\n(I) When you said you were going to \"reinvent yourself\",I imagined something less \"flighty\".\n(J) Do you have to come in here every time I turn on the light?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:050", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A person is cooking at the stove while wearing a large, boxy contraption on their head. Another person stands nearby, holding a glass of wine and watching.\n\n Which of the following captions is the funniest?\n(A) You honestly prefer sarcasm to changing your perfume?\n(B) Honey, I think it's time we cleared the air.\n(C) North Korea/Persian fusion?\n(D) I know, I miss our liberal bubble too.\n(E) Don't go beyond 'medium spicy' on mine.\n(F) No, that was the expiration date, not the half-life.\n(G) I don't think that's what our therapist meant when he said our relationship is toxic\n(H) When I said you looked good in a suit, this wasn't really what I had in mind\n(I) Methane from kale?\n(J) For heaven's sake, it's just gluten.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:051", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two scientists are observing a group of mice navigating through a maze that resembles an art gallery. The mice are looking at the paintings on the walls.\n\n Which of the following captions is the funniest?\n(A) Let's go with the brie.\n(B) First we tried giving typewriters to the monkeys.\n(C) They're not taking selfies, so it won't apply to people.\n(D) It's uncanny how much better they are at identifying forgeries than our experts.\n(E) It's the preview to the opening of the new maze.\n(F) Nothing has sold yet, but we’ve gotten a few nibbles.\n(G) The art is a placebo.\n(H) Art is its own reward.\n(I) It's like Members Night at the Met!\n(J) They keep licking the Impressionists - it must mean something.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:052", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is sitting on an examination table in a doctor's office. He is wrapped up in a large snake, and the doctor is standing in front of him, holding a clipboard and talking to him.\n\n Which of the following captions is the funniest?\n(A) Looks like a reptile dysfunction\n(B) How was your vacation?\n(C) Sorry, but the insurance will not approve the operation without your signature.\n(D) Of course an MRI will be more conclusive.\n(E) What exactly is the problem?\n(F) We'll need to get some bloodwork done just to be sure.\n(G) Any shortness of breath?\n(H) No,she seems pretty healthy, but you were wise to bring her in regardless.\n(I) The good news is, it’s not a tumor”\n(J) On a scale of hug to asphyxiation, how would you describe this tightness in your chest?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:053", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two whales are relaxing on a beach. One whale is holding a drink with a straw, while the other is reading a book and wearing sunglasses. The city skyline is visible in the background.\n\n Which of the following captions is the funniest?\n(A) How Alaska has changed. Not that long ago it was too cold to get out of the water; let alone get a tan!\n(B) We'll make better time if we cut through the Panama Canal.\n(C) I liked it when he said, \"You two don't belong in the cruise ship pool.\"\n(D) Just think Mother,thanks to climate change we will not need to migrate to breed ever again.\n(E) Now that humans are extinct, we can enjoy the beach again.\n(F) Frank, are we suicidal or just chillin’\n(G) And then he said, \"Shaken, or stirred?\"\n(H) All bodies are beach bodies!\n(I) Might as well enjoy this before it becomes uninhabitable\n(J) Of course I turned off echolocation. I'm on vacation!\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:060", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is putting his head into a lion's mouth that is part of a mounted lion head on the wall. A woman is standing nearby holding a glass of wine and looking at him.\n\n Which of the following captions is the funniest?\n(A) I know you don't believe in karma, but how else can you explain this?\n(B) Don't be so dramatic, we all have to go back to the office at some point.\n(C) Just a little to the left.\n(D) Up just a little on the right\n(E) A little to the right!\n(F) Does this make me the trophy's wife?\n(G) Guess who got the last word?\n(H) Are you still looking for your other arm?\n(I) Just relax dear - it's the circle of life.\n(J) Cat got your tongue dear?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:061", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A king is sitting on his throne while a servant reads a scroll to him. Above the king's head, a large sword is hanging by a thread.\n\n Which of the following captions is the funniest?\n(A) Sire, your royal life insurance policy covers everything except: Death by giant sword while sitting on the throne.\n(B) The cease and desist letter is from some guy named Damocles.\n(C) And the king lived happily severed after.\n(D) It appears that has been taken, Sire. What about Mack the Dagger?\n(E) King Occam, I think the Razor might be a better option\n(F) It's the new guillotine 2.0, sir.\n(G) Your majesty, the queen beseeches you for a trial separation!\n(H) A gift from your brother, your Majesty. He sends his regards.\n(I) It says the queen knows about your mistress. So you've got to split.\n(J) Not just mightier, but considerably more safe as well!\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:063", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A woman with extremely long hair is standing at the top of a tall tower. Her hair is so long that it reaches the ground, and a man is tangled in it halfway down the tower.\n\n Which of the following captions is the funniest?\n(A) Rapunzel! Rapunzel! I know your name is Rapunzel. Jennifer is my accountant. I was just telling her how amazing you are.\n(B) I knew I shouldn't have used that leave-in conditioner this morning!\n(C) Sorry...I'm very expressive when I sneeze.\n(D) Not before my hair is done, Jared.\n(E) Rapunzel regrets using conditioner that morning.\n(F) If you can get up here, I'm hoping you'll take a look at the shower drain.\n(G) Is this getting a Bob?\n(H) Medieval hair slides, really?\n(I) OK, now pass the conditioner.\n(J) Sorry, I should've given you a 'heads-up'\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:064", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two dinosaurs are standing and facing each other. One of the dinosaurs is wearing a colorful propeller hat.\n\n Which of the following captions is the funniest?\n(A) Aw, man - you got a prize with your meal? I just got swim trunks - again.\n(B) Have you been helicopter parenting again?\n(C) I don't care what you think. I think it makes me look whimsical.\n(D) I don't know what you want me to do about it. I can't reach it either.\n(E) Help! I don't know how it got there and I can't get it off?\n(F) And you think it makes you look harmless?\n(G) You got it from Jurassic Prime?\n(H) I don’t know, Phil, that fiery rock hurling toward us looks pretty big.\n(I) .....Trust me Bob, a giant rock fell from the sky and we all died!........I'm back just to warn y'all..\n(J) Counterclockwise?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:068", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is relaxing on a lounge chair under a palm tree on a small island, holding a drink in a coconut. Another man, who looks disheveled and is holding a briefcase, stands nearby looking confused.\n\n Which of the following captions is the funniest?\n(A) You think you had a bad day? I am down to my last coconut.\n(B) Business, meet pleasure.\n(C) Forced to take some vacation days?\n(D) All my coworkers think this is just a virtual Zoom background\n(E) mai tai looks better than your tie\n(F) Thanks for the in person meeting. Kind of hard to do Zoom from out here.\n(G) ...and that’s how I became President.\n(H) I’ve got two words for you dude. Crypto. Currency.\n(I) Well, I can see that you didn't amount to much either.\n(J) Naturally, besides the beach, you would have climbing privileges.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:071", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two cowboys on horseback are looking at a broken espresso machine and scattered coffee-making tools near a campfire in the desert.\n\n Which of the following captions is the funniest?\n(A) This must be the dude ranch, but where's the dude?\n(B) What happened to the good old days?\n(C) Looks like plain lattes... They must've been in some hurry.\n(D) Smells like decaf. They can’t have gone far.\n(E) I'd say we're trackin' a couple of city slickers.\n(F) They say this, here, is the spot the great Milk Product Standoff occurred. Oat, soy, almond, cow--many a dander was raised, sighs heaved, eyes rolled. The eternal flame is in remembrance of the baristas who had to put up with that crap that day.\"\n(G) Well, I've always heard he's the fastest barista in the West.\n(H) Yes, we just missed ‘em.... the Pony Espresso Gang.\n(I) That Vente Latte still looks warm\n(J) Fire's fresh, but with that much caffeine in 'em they could be miles away.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:072", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is standing in a bookstore, and the cashier is behind the counter with a large alligator lying on top of the books.\n\n Which of the following captions is the funniest?\n(A) Try saying 'see ya later'. Trust me, it's funny.\n(B) Don’t worry, she’s already eaten!\n(C) It’s alligator hunting season. He figures this is the last place they’d look.\n(D) Don't ask me why, he just has this thing about New Fiction. But you're welcome to try.\n(E) He’s here to provide the tears of regret for the Trump reinstatement section.\n(F) We take 'publish or perish' rather seriously.\n(G) His name's Readers Digest.\n(H) Fake news is on the other side of the store, this is all crock.\n(I) The labor market is so tight, all the candidates we see are candidates from when Trump drained the swamp.\n(J) Bibliophile crocodile! 🐊\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:073", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two cowboys are playing croquet in a western town. They are using mallets to hit the balls while a few other cowboys and a horse watch from the sidelines.\n\n Which of the following captions is the funniest?\n(A) Sometimes it is a split decision.\n(B) I have yet to see anyone take down ol' Davey Croquet in a shootout.\n(C) I'm tempted to shoot them both.\n(D) You know what would make this better? Horses.\n(E) It starts at high noon but it can take forever\n(F) They have some balls to play like that!\n(G) Fine. But you'll have to rename it the Croquet Corral\n(H) ' who knew the new gun laws would be so much fun!\"\n(I) I’m all for gun control but this is kind of lame.\n(J) They're from France.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:074", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A businessman in a suit is sitting on a subway next to a caveman holding a club. They both appear to be looking forward.\n\n Which of the following captions is the funniest?\n(A) I can sense your judgment of my manspread.\n(B) So it kind of started with a drum circle at this men's weekend...\n(C) Are you SURE this will appeal to the jury?\n(D) You know the CIA runs Facebook, right?\n(E) I'm sensing some toxic masculinity.\n(F) You have no idea how long I had to wait for this train.\n(G) I'm so glad open carry is allowed here.\n(H) If you stay on the Palio diet long enough, this will happen.\n(I) I’m still having trouble with the concept of dressing for success.\n(J) Why does everyone keep asking me if I’m related to Andrew Cuomo? I’m a caveman. Not an asshole.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:075", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two dogs are standing in front of a giant doghouse. One dog is inside the entrance, and the other is just outside.\n\n Which of the following captions is the funniest?\n(A) It's scientifically proven to promote higher thought.\n(B) Our daughter married a greyhound.\n(C) Customized for when my owner has to visit me...\n(D) I call it Mar-a-Dawg-o.\n(E) Sometimes my master needs to join me.\n(F) I'm dating that basketball playing dog.\n(G) I thought, why not go big AND go home.\n(H) Look at what I'm able to afford just by leaving California!\n(I) I got a great deal from the Great Dane.\n(J) It's my monument to Dog.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:085", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A magician is performing a trick on a balcony, pulling a rabbit out of a hat. People in the surrounding building windows are watching the performance, while a woman sitting at a table nearby is looking at her phone.\n\n Which of the following captions is the funniest?\n(A) The rabbit’s Go Fund Me site is now up to five heads of lettuce and thirteen carrots!\n(B) Sawing me in half better not be his next trick.\n(C) No new likes, but your views are rising.\n(D) Now it says to saw the rabbit in half ... wait that can't be right.\n(E) Thank God she didn't order the veal!\n(F) They’re not impressed. They say Mr. Renault two balconies below us is juggling three penguins and a brick of Gorgonzola.\n(G) Yo have 25 ooh's, 32 ahh's and 47 How the hell did he do that's\n(H) Imitating the Fed.\n(I) The real magic trick is how he got her to say yes to a rooftop dinner.\n(J) Nope. They're all super disappointed. It autocorrected where I said you'd pull the rabbit from.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:087", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man in a tuxedo is looking at a wedding cake. The cake has a surprised expression on its face and a bride and groom topper.\n\n Which of the following captions is the funniest?\n(A) Maybe that last drink wasn’t such a good idea.\n(B) My advice: Never go to bed hangry.\n(C) Hey buddy . Get me out of this cake!\n(D) It always ends in tiers......\n(E) It won’t last.\n(F) When you said your wedding vows would leave me in tiers...\"\n(G) Am I underdressed? I feel underdressed.\n(H) Don’t even try. She’s taken.\n(I) The Chef sneezed on me.\n(J) He dressed in drag just so they'd bake the damned cake\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:088", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Three men are on a raft made of various food items, including bread and vegetables. They are preparing to hunt a giant piece of cheese floating in the water.\n\n Which of the following captions is the funniest?\n(A) Steady boys, this one's a real muenster\n(B) Which Blowhole Captain?\n(C) Stand down, men, it's declared neutrality.\n(D) Be careful,it might be Jarlsberg in disguise.\n(E) Hold on -- I think it's the USS Big Cheese, but my information may be full of holes!\n(F) This had better be GOUDA!\n(G) Hold it, this one is neutral!\n(H) Uh-oh, it's coming straight for us. We're gonna need a lot bigger cheese board.\n(I) Let's hope this is just the tip of the Jarlsberg.\n(J) On the Gouda ship Lollipop.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:090", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A couple is packing their suitcases in a bedroom. The woman is packing clothes, while the man is packing a large stone wheel and a club.\n\n Which of the following captions is the funniest?\n(A) You said no technology this weekend,right?\n(B) Reject modernity and embrace tradition? I don't think they meant that, Paul...\n(C) I’m reinventing the wheel\n(D) It's a back-to-basics resort.\n(E) I got it to work without going on the web.\n(F) I'm thinking that we'll just need the basics.\n(G) I'm not implying anything about your dad.\n(H) Trust me, it's fine if we check our bags.\n(I) And then Joe Rogan said...\n(J) It's been so long since I invented these, I'd forgotten all about them.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:101", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two mice are looking at an instruction manual while sitting in front of a pile of flat-pack furniture pieces and screws.\n\n Which of the following captions is the funniest?\n(A) See, I told you. It says right here, “Cheese not included.”\n(B) I think we can build a better one.\n(C) Cutbacks\n(D) Fine. See if YOU can do any better without thumbs.\n(E) This would be easier with opposable thumbs.\n(F) Let's do the maze at IKEA, you said... It'll be FUN, you said...\n(G) I think this whole animal testing thing has gone a bit far.\n(H) I'm sure the website said cheese was included.\n(I) Now that we've taken it apart it should be easier to find the food.\n(J) The cat will never find us once we get this thing built.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:103", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A woman is standing on a balcony holding a cat. Across from her, another cat is sitting on top of a tall, ornate building spire.\n\n Which of the following captions is the funniest?\n(A) Hang on, he wants me to get him an Uber.\n(B) Trust me, yoga works wonders!\n(C) I want to report a Quasimodo.\n(D) I thought his profile said he was a quarterback at Notre Dame.\n(E) Can't a girl find a normal hunchback in this city?\n(F) Creeps are getting far too brave these days.\n(G) It looks like my date is here from that new app, Humpr.\n(H) Well, I used to be able to see the Eiffel Tower.\n(I) I'm not sure officer, but somehow he rings a bell.\n(J) Hello police? It's Esmeralda in 936, he's at it again.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:105", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A caveman is standing at home plate in a baseball stadium, holding a large club and drinking from a bottle. A catcher is crouched behind home plate, and there are spectators in the stands.\n\n Which of the following captions is the funniest?\n(A) Ted, it’s over now. Carol chose me.\n(B) Took me a while to get to the big leagues too.\n(C) Yeah, I hate the throwback uniforms too.\n(D) after all our hard work getting ourselves evolved enough to stand, there you crouching again.\n(E) Nice try Bailey. Now go get a regulation bat.\n(F) Shoeless Joe. Welcome back to oldtimers’ Day.\n(G) I need a hit, or else they’re sending me back.\n(H) Remember, do not carry me off the field this time.\n(I) No, it's not that - I just didn't see you as a leadoff guy.\n(J) Pal, if you hit a homer, just take it easy with the bat flip.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:106", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two people are sitting on a subway train, both looking at their phones. A man in an apron is standing in front of them, grilling food on a barbecue.\n\n Which of the following captions is the funniest?\n(A) My wife enjoys Midtown Manhattan; I prefer Long Island. This is kind of a Green Acres thing in reverse.\n(B) Business has been great since you Trumpsters ran out of places to eat.\n(C) It's a free country - for guys like me.\n(D) What, you never seen a burner before?\n(E) Think of it as a burnt offering.\n(F) Of course I'm not cooking it over direct heat. Do I look like an idiot?\n(G) The airlines nixed the idea.\n(H) Well-done burgers are only sold on local trains.\n(I) If the Mountain Won't Come...\n(J) Chef begins training for the Orient Express.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:110", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two reptiles, one resembling a turtle and the other a snake, are facing each other in a jungle setting. The turtle has a snake-like tongue extended towards the snake.\n\n Which of the following captions is the funniest?\n(A) Oh,you found something gnu.\n(B) Given the climate change flooding predictions, I went with the retractable sail option\n(C) When I invited you over for dinner, I didn't expect you to eat the guest of honor.\n(D) This too shall pass.\n(E) Hey, did you eat the last water buffalo?\n(F) Don't complain to me if you're up all night with indigestion\n(G) I think you misheard me, dude, I said \"DON'T have a cow.\n(H) You could have invited me to lunch.\n(I) You are so full of it, Jimothy.\n(J) What do you mean you didn't know it was my lunch? I wrote my name right on that boar.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:113", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man with an ice cream cone for a head is lying on a therapist's couch, talking to a therapist who is taking notes.\n\n Which of the following captions is the funniest?\n(A) Since I lost my sprinkles, life is just plain vanilla.\n(B) “My wife complains that I’m too vanilla.”\n(C) Is global warming truly an existential threat, or am I'm just going soft in the head?\n(D) I live in fear of another meltdown\n(E) Then I wake up and the sprinkles are gone.,\n(F) She loves to lick my head up here and not down where all the good stuff is…. and it weirdly turns me on, is that normal?\n(G) But everyone said it would be easy to find my Dairy Queen!\n(H) The money and recognition are nice and all, but sometimes I just want to be plain old '\"Larry\" again.\n(I) I really am trying to be more assertive, doctor, but everyone says I am a hopeless softie.\n(J) Everyone I know tells me I'm cold.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:115", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A person is lying on a couch in a therapist's office, talking to the therapist. There is a giant clock on the wall behind them.\n\n Which of the following captions is the funniest?\n(A) Now you can stop asking me what time it is\n(B) When I snap my fingers you will awaken and forget the entire year of 2023.\n(C) So you think you're good at picking up on subtle hints. Maybe we should discuss that next time.\n(D) I’m very big on tick-tok.\n(E) Your mother never gave you enough of her time, did she?\n(F) It was a gift from my six o'clock.\n(G) You can still reach closure if you use your timeouts wisely.\n(H) Ticking? Actually I find your breathing more annoying.\n(I) The good news, if the clock falls your troubles are over.\n(J) Yeah, I told the interior designers that I wish I had more time in my office to decorate\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:116", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is standing next to a table, looking at a small dog that is inside a fishbowl.\n\n Which of the following captions is the funniest?\n(A) When you said we all had to stay in our \"family bubble\" this wasn't what I had in mind.\n(B) What, you've never seen a dog bowl before?\n(C) The fish is gone. And I really need to go for a walk.\n(D) I think it's best I isolate until I get all my vaccinations\n(E) Duh! Yes! I ate your precious goldfish. And I drank all the water. Don't just stand there, get me the hell out of here!\n(F) If you're trying to be more fair, let's put a leash on the goldfish instead.\n(G) If the winning caption even mentions a dogfish, you should cancel your subscription.\n(H) You sure this'll fool the landlord?\n(I) Don’t be so cheap. Get a litter box.\n(J) what fish? when I climbed in here, it was empty! Really!\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:120", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two men in suits are standing in a car dealership. One man is showing the other a small, toy-like car that resembles a children's ride-on car.\n\n Which of the following captions is the funniest?\n(A) Environmentally friendly and it handles like a dream!\n(B) You seem like a family man…I guarantee your kids will love it!\n(C) You can't beat the gas mileage.\n(D) It’s self-driving and you will save a fortune on gas.\n(E) Both my five year old twin nephews swear by it\n(F) You wouldn’t believe how many people tell me this was their first car.\n(G) One owner, a 5 year old girl who only drove it on weekends.\n(H) This model has a one manpower engine.\n(I) And this our \"Not so Smart\" car\n(J) And, you get free parking at Disneyland.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:121", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A real estate agent is showing a room to two potential buyers. Through the window, you can see outer space with planets and stars.\n\n Which of the following captions is the funniest?\n(A) Wait till you see the rooftop sun deck.\n(B) The air's a little thin, but you'll love the view.\n(C) . . . And you never hear the neighbors.\n(D) You work remote, right?\n(E) And just wait until you see the basement.\n(F) You may be disappointed by the small size, but the view is out of this world.\n(G) The atmosphere isn't much, but wait until you see the view.\n(H) The value is going to be through the roof when they make Pluto a planet again.\n(I) It’s a little far from the city, but the view is terrific.\n(J) And it has Zoom background windows, this is one of my favorites...\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:124", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is tied up and standing in a bathtub with water up to his ankles. Another man, who looks like a detective or a gangster, is standing outside the tub, smoking a cigarette and watching him.\n\n Which of the following captions is the funniest?\n(A) There’ve been budget cuts\n(B) Stop fighting it kid, everyone eventually sings in the shower.\n(C) I don’t think this is how waterboarding works.\n(D) Is this apartment 1A, or 1B?\n(E) Mr. Trump told us to make it look like a suicide.\n(F) We’d be doing this at the docks if it weren’t for the 10 o’clock curfew.\n(G) Alright, he’s clean\n(H) OK, that's it. You're gonna sleep with the bathtub scum.\n(I) What happened to the sleeping with fishes part?\n(J) Are you ready to come clean or do you need more water?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:126", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man in a trench coat and hat is standing in an alley, showing another person a selection of kittens hidden inside his coat. The person looks surprised or intrigued.\n\n Which of the following captions is the funniest?\n(A) Spayed or neutered and all their shots. Trust me.\n(B) They'll guard you from creepy men wearing trench coats in dark alleys.\n(C) Ok, dogs are expensive, need walking, and want you to love them to death. Pick a cat.\n(D) C'mon, man, they're so cute! You KNOW you want one. And the first one's free!\n(E) And of course, you’ll be wanting the extended warranty.\n(F) When I said “wait till you see these puppies,” what did you think I meant?\n(G) Your follower numbers will go through the roof with these bad boys!\n(H) These are genuine Rolex watch dogs.\n(I) Sorry, I must have grabbed my wife’s coat by mistake.\n(J) No animals were harmed in making this fur lining.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:130", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A woman is wearing an extremely large ruff collar that covers most of her upper body. Two men in historical attire are standing in the background, looking at her.\n\n Which of the following captions is the funniest?\n(A) They call it \"The cloud\".\n(B) I feel sorry for the person sitting next to her on the plane.\n(C) Well, it does make her waist look smaller.\n(D) I think a beheading is out of the question.\n(E) That's one way to filter your words.\n(F) Only one man has gotten close to her and he's still missing.\n(G) The lady doth not protest too much.\n(H) She has a bad case of 'Collara.'\n(I) I hear she is on her way to visit Henry the Eighth.\n(J) Methinks she doth protrude too much.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:131", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A large group of sheep, all standing with their arms crossed, are facing two wolves dressed in suits. The wolves appear to be having a conversation.\n\n Which of the following captions is the funniest?\n(A) They don't hate us because we're wolves; they hate us because we're lawyers.\n(B) ...Heh, Heh...Heh...We'll market them as Wolfadoodles....\n(C) And so I said “trust me” and they did.\n(D) We probably should have ditched the suits for sheep's clothing.\n(E) You shouldn't have worn the wool suit.\n(F) We have to ditch these wool blends.\n(G) What do you say we go elsewhere for dinner?\n(H) Herman, for God’s sake, stop drooling!\n(I) We may have reached the functional limits of gerrymandering.\n(J) I told you we'd be the only ones wearing suits\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:132", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man in a bathrobe is standing in a doorway, looking surprised. A woman is standing in the room, and there is a large vacuum cleaner in the middle of the room. The scene appears to be set at night.\n\n Which of the following captions is the funniest?\n(A) On behalf of loud snorers, this is cultural appropriation.\n(B) Its very late, Mrs. Hoover.\n(C) Eureka, I’ve found it.\n(D) I'm asking for my dog.\n(E) It's much smaller than I imagined.\"\n(F) Just wondering if you have seen Barky, our Great Dane?\n(G) Yeah, pretty good thanks. Yourself?\n(H) I'd be okay with it, but my Roomba won't come out from under the bed.\n(I) I SAID, PLEASE TURN IT OFF! MY CATS ARE STUCK TO THE CEILING!\n(J) The building does not allow particle accelerators.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:134", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two people are in a car, one driving and the other in the passenger seat. A large whale is somehow squeezed into the back seat of the car.\n\n Which of the following captions is the funniest?\n(A) I've always wanted a car with big tailfins.\n(B) You guys feelin' sushi?\n(C) Next time you'd better order an UberXL.\n(D) You and your surfaris.\n(E) I hate to say this, but I liked this song better on the album.\n(F) It wasn't me either.\n(G) Pull over. We're supposed to keep him rear-facing until age two.\n(H) For dinner, so far we have one vote for krill.\n(I) Enough about my sperm count already!\n(J) I promised to help with his pod-cast.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:135", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A person is playing a piano in a church, but instead of an organ, there is a giant radiator behind the piano. Another person, possibly a priest, is standing nearby watching.\n\n Which of the following captions is the funniest?\n(A) The ad was for a pre-war, rent-controlled chapel sublet. What sort of organ did you expect?\n(B) Play 'Misty' for me.\n(C) Play something warm. No, play something radiant.\n(D) It sounds like a lot of hot air.\n(E) Masses are really starting to heat up.\n(F) I asked for something that would resonate not radiate.\n(G) The hard part was transposing from C major to Fahrenheit.\n(H) I said ‘inspiration’ not ‘perspiration’!\n(I) Funny. No one has ever told me my organ was too big before?\n(J) Will your playing improve if I adjust the thermostat?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:136", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two dinosaurs are having a meeting in an office. One dinosaur is sitting behind a desk, and the other is sitting in a chair in front of the desk. Outside the window, a meteor is falling from the sky.\n\n Which of the following captions is the funniest?\n(A) we're all going to have to adjust to a new normal\n(B) Tell me about a time you identified a problem that others didn't see coming.\n(C) I’m glad you caught that error, Jerry. It could have been the end of the world.\n(D) All this crazy panic over Comet 19!\n(E) Anyway, happy new year. I have a good feeling about 2020.\n(F) Things have gone pretty well since they started draining the swamp!\n(G) I can’t help but notice that you seem a little distracted\n(H) Just sign here, and it will be over in a flash.\n(I) That'll never happen.\"\n(J) Thanks John, oh, and one last thing.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:138", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A bartender is serving drinks to three unusual customers: a rock, a piece of paper, and a pair of scissors. Each of the objects has a face and appears to be engaged in conversation with the bartender.\n\n Which of the following captions is the funniest?\n(A) That’s it fellas… no more games.\n(B) And who's covering the tab?\n(C) Here, we draw straws.\n(D) Last time you guys were here, Rock got Scissors smashed and Paper failed to cover the bill.\n(E) Alright already, one of you just order.\n(F) Alright, one of you has to decide.\n(G) Three old fashioned, coming right up.\n(H) Just flip a coin.\n(I) Lemme guess... Shots?\n(J) What'll it not be?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:142", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A witch is standing next to a bubbling cauldron, looking at her smartphone and smiling. There is a potion bottle on the table next to the cauldron.\n\n Which of the following captions is the funniest?\n(A) That thing on my nose just enhances my beauty!\n(B) And just a pinch of narcissism\n(C) Who doesn't love kitty videos that involve soup?\n(D) Double, double toil and trouble; \nFire burn, and who cares if it's out of focus?\"\n(E) So that’s how you make soup of souls for the chicken. Like and subscribe! #witchtok\n(F) WIC TOK\n(G) Alexi: What's a substitute for eye of newt?\n(H) I don't need a long backstory. Just 'jump to recipe.'\n(I) Various substitutions for eye of newt !!!\n(J) You can probably find most of these ingredients lying around under your house.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:143", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A woman is standing in an office hallway, looking at a group of identical men wearing glasses, white shirts, and ties. The men are all lined up, coming through a doorway.\n\n Which of the following captions is the funniest?\n(A) I think the copier was left on the Fred setting again.\n(B) I'm sending up that crop of newly minted MBAs you wanted.\n(C) The Accountants are multiplying again.\n(D) I'm pretty sure that Dr. Janson has perfected a highly advanced variant of asexual reproduction.\n(E) Yes, Sir. Your description was perfect!\n(F) The sperm bank class action lawsuit clients are here.\n(G) Did you say look for the bald guy with a small mustache and round glasses?\n(H) I wanted clowns for the party, not clones.\n(I) Cancel the shrimp tempura. He says they're all allergic.\n(J) Ask the repairman to come back, still something wrong with the copier.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:145", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is walking his dog in a park and encounters an alien holding a rake. In the background, other aliens are raking leaves near a spaceship.\n\n Which of the following captions is the funniest?\n(A) we'll take care of the leaves if you'll start picking up after your dog.\n(B) You haven't seen a set of keys, have you?\n(C) Don’t worry, we will attend to their burial with care.\n(D) And the job pays well, but it’s a bit of a commute.\n(E) What? Your money actually doesn't grow on trees??\n(F) Ah, the simple life... form.\n(G) We're still deciding between apple picking, antiquing, or abduction.\n(H) We haven't used leaf blowers for light years.\"\n(I) We come in peace, but we draw the line; you pick it up.\n(J) In my world, anything that grows on trees is money.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:150", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man dressed as Atlas is carrying the Earth on his shoulders and entering a room. Another person in a bathrobe and slippers is standing nearby, holding a cup and watching him.\n\n Which of the following captions is the funniest?\n(A) Screw Ayn Rand. I don't like shrugging AND I need a union.\n(B) You were my world.\n(C) I'm leaving and I'm taking your world with me.\n(D) Next week I'll move Heaven for you.\n(E) 'Could be worse, I could be a health worker.'\n(F) What? You know that Thursday is my bowling night!\n(G) Time to trade up!\n(H) Unless the apocalypse comes, I'll be back for dinner.\n(I) Of course I won't drop the ball.\n(J) I hate bringing my work home.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:151", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two cowboys are standing next to their horses in a desert, watching another cowboy who is performing gymnastics on a pommel horse.\n\n Which of the following captions is the funniest?\n(A) Don't turn around, I need to change into my leotard for the floor routine.\n(B) You can take the Cowboy out of the Olympics, but you can’t take the Olympics out of the Cowboy!\n(C) He's been like this ever since his other horse died.\n(D) You tell him that's not what we meant when we said we were going for the gold.\n(E) That’s my Fancy Cousin, he’s from Austin.\n(F) What do you figger you get, exactly, if you breed a mustang with a pommel horse?\n(G) He saw the wrong man about a horse.\n(H) He’s going places, that one.\n(I) It’s all about the dismount!\n(J) Yeah,but how’s his ropin’?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:153", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two people are standing on a hill, holding glasses of wine, and looking at the moon. The moon has a face and is winking at them.\n\n Which of the following captions is the funniest?\n(A) What's in this wine? The moon just winked at us!\n(B) I've never seen this guy before in my life, Babe, I swear!\n(C) Maybe it was everything about last year, but, so far, I don't trust 2021 just yet.\n(D) Damn. he knows what I'm thinking\n(E) Houston we have a pervert\n(F) Wine helps me connect with nature.\n(G) I don't know if he's flirting with me, or just joking around.\n(H) Don’t be fooled. He has a dark side.\n(I) The universe is so vast and flirty.\n(J) Oh, I didn’t know we were going on THIS kind of trip.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:155", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A knight in armor and a lifeguard are sitting on lifeguard chairs on a beach. The knight is holding a spear, and there is a sandcastle between them.\n\n Which of the following captions is the funniest?\n(A) SPF 3000. It's highly recommended.\n(B) It''s only temporary.\n(C) This time I’m not letting any wooden Seahorse in my castle!\n(D) I’ll joust you for it.\n(E) So I guess I misunderstood when I heard “night watch”…\n(F) Are you even taking this seriously?\n(G) We’re going to need a bigger moat!\n(H) Yes, you could say I take my job seriously.\n(I) There is a high serf advisory.\n(J) All the agency said was the job involves castles and a coastline. *You* try guarding the south approach from Visigoths in a Speedo.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:156", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A couple is looking at a treehouse that is for sale. A real estate agent is showing them the property.\n\n Which of the following captions is the funniest?\n(A) The previous couple had a falling out.\n(B) The seller is very motivated—he’s too tall to fit in the door now.\n(C) You only need the secret password to get in\n(D) This studio has incredible natural light with a rustic feel and is only going for $3500 a month.\n(E) No flood insurance nessary.\n(F) ....and this is our in- law suite.\n(G) You appear to have misunderstood my firm's ad for an open house.\n(H) Perfectly suitable for two, with room to branch out!\n(I) Instead of a tree house, think of it as a house in a tree.\n(J) If you act now we’ll throw in a door!\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:157", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A woman is sitting at a dinner table with a man who has a blender for a head. They both have plates of food in front of them.\n\n Which of the following captions is the funniest?\n(A) Now I get how that man mistook his wife for a hat.\n(B) Do you think the kids would be open to a blended family?\n(C) I know. I know. Your goal this year is to get a head.\n(D) So, how long have you identified as transblender?\n(E) You looked like a sippy cup in your profile picture.\n(F) Don't talk with your container full!\n(G) I'll be honest. It's because of the way you kiss.\n(H) Perhaps I'm expecting too much from a smart appliance.\n(I) I understand. I grew up in a blended family, too.\n(J) Your Blendr profile said you could crush ice, but I thought you just played hockey.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:160", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is climbing a giant beanstalk that reaches up into the clouds. In the clouds, there is a business meeting taking place with people seated around a table and one person presenting a graph.\n\n Which of the following captions is the funniest?\n(A) Jack meets the corporate giant.\n(B) When businesses moved everything into the cloud,Jack realised his mother had been right about the beans\n(C) I'm sorry Jack but this meeting is about growing our \"stock\".\n(D) Giant? Next floor.\n(E) Excuse me, but this is a private Board Meeting in the cloud.\n(F) Hey, everybody. I want you to meet the guy who made it all possible, our chief bean counter, Jack.\n(G) I know he sees us, but let's sit tight and see if he can get himself down.\n(H) We’re cloud analysts. The tech giants are further up.\n(I) I reserved this conference room weeks ago.\n(J) Uh hi... Is this the bean counters meeting?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:161", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man behind a counter is looking at a sad clown standing outside the window of a place called \"Sam's.\"\n\n Which of the following captions is the funniest?\n(A) I know you're the only one performing but the inauguration is still a pretty big deal.\n(B) Now before you start, I don't want any funny business\n(C) No funny business\n(D) If you can't find a way to juggle a career and family, what hope is there for the rest of us?\n(E) Well, it suits you better than the president costume.\n(F) Squirt me with that flower again and Sam is going to kick your ass!\n(G) I suppose you're looking for a punchline.\n(H) Sorry, no seltzer.\n(I) Clown shirt, clown shoes, no service.\n(J) We don't serve clowns here ... we just elect them to the highest office in the land.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:162", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A couple is walking arm in arm down a path in a park. The trees around them have smiling faces.\n\n Which of the following captions is the funniest?\n(A) Every time all our leaves fall off people pretend to get along for like a month.\n(B) I love it when they don’t carve initials.\n(C) To be perfectly honest, branches and leaves aren't Maggie's strong suit, and yes, we do look more like giant cauliflowers.\n(D) I guess our photosynthesis is pretty much history...\n(E) If your wood that lasts more than four hours, please consult a physician.\n(F) ... And then their hair begins to lose its color, eventually falling off ...\n(G) I'm so glad they added emojis to the I-trees!\n(H) During mating season, lumberjacks are called \"hipsters\" and are perfectly harmless.\n(I) Seek immediate medical help if you experience nausea during sex or falling leaves.\n(J) I love plaids, I wish I could wear them.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:163", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Three dinosaurs are playing musical instruments in a prehistoric landscape. One is playing a guitar, another is on drums, and the third is playing a keyboard. A meteor is seen falling from the sky in the background.\n\n Which of the following captions is the funniest?\n(A) That's the last time we cover ABBA\n(B) So much for predictions of meteoric rise!\n(C) Face it. It’ll be millions of years before we’re discovered.\n(D) Rock 'n' Roll is Dead they say.\n(E) Did you order special effects?\n(F) I just feel like the hook on this one should go Goodness Gracious, something... something... something...\n(G) And finally,we play \"It's Now or Never\"\n(H) I think we should go straight to the encore.\n(I) 'Goodness gracious' ... 'goodness gracious' ... .Don't worry, it'll come to me.\n(J) For those about to experience mass extinction, we salute you.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:170", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A barber is standing next to a barber chair, holding scissors and a cape. A customer is standing in front of him with a bird sitting on his head. The door in the background has a sign that says \"Sorry, we're closed.\"\n\n Which of the following captions is the funniest?\n(A) I think I'm done with the feathered look.\n(B) Please don’t take an egg, she’ll peck me the whole ride home.\n(C) I'm tired of the pigeon point, could I have a duck tail?\n(D) Just give me the Audubon.\n(E) The eviction notice didn't work, so maybe this will.\n(F) It's her call\n(G) You keep cutting it, and it keeps coming back.\n(H) Just a trim, and rotate the eggs.\n(I) Can you just cut around it? My paperwork to remove him is still being processed by the city.\n(J) Just be glad I didn’t come here when I had a pony tail.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:172", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is holding hands with a child and a dog. The child looks upset while the dog is standing on its hind legs and wearing clothes.\n\n Which of the following captions is the funniest?\n(A) Don't be mad, Billy. When daddy gets his old job back, he can send both of you to boarding school!\n(B) I think you’re going to be good friends. You’re adopted, too.\n(C) It's okay, Billy. I'm sure you'll be adopted next.\n(D) You said you wanted a baby brother... You said you wanted a puppy... Win-win!\n(E) Son,you have to be tolerant of our dog identifying as your brother.\n(F) Because he's a lot more obedient than you.\n(G) Say it, Conner. ‘Rigel is family, not some son-of-a-you-know-what.’\n(H) You’ve outgrown it, let him wear it.\n(I) Buddy bit you because you weren't respecting his personal space.\n(J) Son, you're old enough to learn about the facts of life. You'll never grow a tail.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:173", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man and a woman are in a swimming pool, playing with a beach ball. A cat is sitting on top of the beach ball.\n\n Which of the following captions is the funniest?\n(A) Get ready for the dunk shot!\n(B) Dr. Kline said Whiskers’ anxiety should subside if we can get him to face his fears.\n(C) I’m still ignoring you\n(D) Mittens was beginning to reevaluate her goals as a social media influencer.\n(E) I thought this might end his indifference.\n(F) OK, it sounded like fun at the time!\n(G) This game could be going a lot worse: my other pet is a porcupine.\n(H) Now watch what happens when I spike it!\n(I) Wow! This wine is good. We levitated the cat!\n(J) I used to have nine normal lives before they made my Instagram channel\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:174", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A group of aliens with large heads and small bodies are walking in a line, led by a man in a suit carrying a briefcase. They are coming out of a spaceship, and two humans are watching them in amazement.\n\n Which of the following captions is the funniest?\n(A) Watch out dear! He has a briefcase.\n(B) Wow, Dennis has really made a name for himself the field of mergers and acquisitions.\n(C) They brought their lawyer to scare us.\n(D) Our Harold—accountant to the stars!\n(E) If they say 'Take us herewith to your leader,' we'll know they've lawyered up.\"\n(F) Those must be the legal aliens.\n(G) I wonder if he billed for his travel time.\n(H) \"At least it seems as if they're willing to negotiate the terms of our surrender.\"\n(I) Take us to your best sci-fi movie producer.\n(J) They're attacking by a corporate takeover.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:178", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A person is looking out of their window at a neighboring building. In the neighboring building, the Grim Reaper is sitting by a window playing an electric guitar.\n\n Which of the following captions is the funniest?\n(A) Turn it down in there!\n(B) Your music sucks...and my mother's just fine, thank you!\n(C) Turn it down! it's loud enough to raise the dead!\n(D) Stop killing me with that death metal!\"\n(E) Do you take last requests?\n(F) Is the end near?\n(G) Better trade that axe in for a scythe!\"\n(H) Don't make me come down there- Mr. Death Metal\n(I) Wait! That’s my apartment!\n(J) I never could stand The Grateful Dead.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:180", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A group of pirates is standing on the deck of a ship, watching as one of their crew members dives overboard. One pirate comments, \"Ugh. He does this every time.\"\n\n Which of the following captions is the funniest?\n(A) Who knew?\n(B) He said that if he was going to sleep with the fishes, it wouldn't hurt to try to impress 'em a little first.\n(C) Arrgghh! We've lost 'im to the Cirque du Soliel!\n(D) Flawless execution.\n(E) Great idea to raid the Olympic Village, Karl.\n(F) I see someone’s been practicing.\n(G) Perfect, till the end.\n(H) Wasn't he supposed to do that one in the forward tuck position with a half twist?\n(I) I said no more Esther Williams movies.\n(J) Yarrr...I'd give 'em a 6 for his approach...and a 9.5 in execution\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:181", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is standing in his yard with a rake, looking at a UFO that is beaming up a pile of leaves.\n\n Which of the following captions is the funniest?\n(A) Luckily Trump can’t close the border to all aliens\n(B) You weren’t kidding Urkh, down here it does grow on trees.\n(C) This must be their currency. I heard him say they were raking it in.\n(D) Jack could not accept the apparent evidence that leaf removal was the alien's ultimate objective\n(E) It costs extra because it's 'Earth Weed.' Trust me, rich Martian kids always fall for it every time.\n(F) Leaf him alone, Scotty\n(G) Next, I'll show you how the Tractor Beam 3000 mulches.\n(H) I liked it better when we did anal probes.\n(I) It's menial work, but when you're undocumented, jobs are hard to come by.\n(J) After the year they’ve had, it’s the least we can do.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:182", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A courtroom scene where a teddy bear is sitting in the witness stand. A lawyer is standing nearby, and the judge is seated at the bench.\n\n Which of the following captions is the funniest?\n(A) Your Honor, when I said 'bear witness', this is not what I meant\n(B) Your Honor, my client was at the scene of the crime but did not personally steal any cookies.\n(C) Objection sustained. That's not what \"bear witness\" means.\n(D) How long had you been sleeping with the victim?\n(E) The witness will require an interpreter, Your Honor.\n(F) Your Honor, I’d like to hold this witness for further questioning.\n(G) Where were you on the night of December 24th?\n(H) I want to treat him as a hostile witness, but geez.\n(I) Are you or are you NOT made of sustainably sourced materials???\n(J) He threatened to beat the stuffing out of me!\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:183", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: The Earth, personified with arms and a face, is sitting at a bar with a drink in front of it. A man is standing next to the Earth, looking at it.\n\n Which of the following captions is the funniest?\n(A) Even when I'm sober, it feels like I'm spinning.\n(B) Kids! They never listen!\n(C) You don’t know the half of it.\n(D) There was room for ice.\n(E) One small drink for me and a large one for the end of mankind!\n(F) And then I dreamed they were crawling all over me and buzzing around me and...it was just awful.\n(G) I feel like I’m spinning.\n(H) Do you know how hard it is to find signs of intelligent life around here?\n(I) It’s mostly water weight.\n(J) Call me old fashioned but I prefer it with ice.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:184", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man is sitting in a chair reading a book. A snake is coming out of a mounted shield on the wall and wrapping around the chair.\n\n Which of the following captions is the funniest?\n(A) Feed your mind, or feed me, your choice.\n(B) You know that thing about 'draining the swamp' was just a ruse, right?\n(C) Remember me? Africa? 1978?\n(D) If you don't want animals in your house, don't leave a big hole in the wall.\n(E) Is this magical realism too real for you, Carl?\n(F) Would you be interested in the knowledge of good and evil ?\n(G) ''Bet that's the last time you have absinthe before bedtime.''\n(H) Experiencing reptile dysfunction?\n(I) Kiss?\n(J) It's one of those books you need to read with the lights on. Trust me.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:190", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A scientist in a lab coat is standing in a maze, facing a giant mouse. The mouse is much larger than the scientist, who looks surprised.\n\n Which of the following captions is the funniest?\n(A) So you promise! I find the exit, and you'll be there waiting for me.\n(B) You win. Go home.\n(C) Can you tell me where the cheese is?\n(D) Payment for the experiment will be waiting for you at the exit.\n(E) I agree, lately this research feels like nothing but dead ends.\n(F) Good mouse, but no more treats for you.\n(G) After the human trials, I'm not so sure which one of us is more genetically modified.\n(H) No, this is The Labyrinth. The Maze is on the 4th floor.\n(I) Well, this side effect was unexpected.\n(J) That concludes our study. You can see yourself out.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:191", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: Two dinosaurs are sitting at a table, dressed in formal attire, having a meal together. The dinosaur on the left is wearing a suit and tie, while the dinosaur on the right is wearing a dress and jewelry.\n\n Which of the following captions is the funniest?\n(A) It’s ironic how plant based menus are finally in vogue\n(B) But I thought you were an herbivore?!?\n(C) Okay, you were right. We should have opted for the high-top.\n(D) Stuart, I just don’t feel that our relationship is evolving\n(E) Give it a minute to go down, I’ll tell you if there’s dairy in it.\n(F) I thought nice guys like you were extinct.\n(G) was that waiter being short with us?\n(H) You ate the waiter. Now what?\n(I) I thought this ‘high class dining’ would be different.\n(J) How do you get YOUR food in your mouth?\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:192", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A group of people and animals are working together in an office. They are all sitting at desks with computers, and one person is talking to another.\n\n Which of the following captions is the funniest?\n(A) Stop saying, ‘Good girl, good girl’!\n(B) They are trying to prove that on the Internet no one knows you're a dog.\n(C) First, we pick-up their poo and now, they're coming after our jobs!\n(D) I'm worried that I don't fit in here\n(E) All I did was pat him on the head and now he's reporting me to HR.\n(F) They got a contract to map the location of the city's fire hydrants.\n(G) I received an HR notification that said, \"No leg humping.\"\n(H) I can only imagine what they licked to get transferred up here.\n(I) I said they have a pedigree not a phd!\n(J) I liked it better when the robots were going to take our jobs.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:193", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A golfer is standing on the green, looking up in surprise. A small UFO has landed right next to the hole, blocking his putt. Another golfer in the background is also looking on in surprise.\n\n Which of the following captions is the funniest?\n(A) I hate playing in New Mexico\n(B) Found my ball and intelligent life.\n(C) … and they will consider any putt that drops into their cup to be an act of war.\n(D) Still think golf's not a 'real sport?'\n(E) This may be a long shot, but would mind checking the rulebook?\n(F) Did he ask to play through?\n(G) Daaaaaad the immigrants are ruining my game againnnnn\n(H) They're telling me they're going to use my golf club to probe me. Get a video, it'll go viral!\n(I) Great Approach to first contact\n(J) Elon, your ride is here!\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:194", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A man and a woman are sitting at a table, each holding a cup of coffee. The man's head is depicted as a brick wall.\n\n Which of the following captions is the funniest?\n(A) My last boyfriend had shingles.\n(B) I swear I’m not stonewalling!\n(C) You might be taking your Pink Floyd obsession too far\n(D) Don’t take this the wrong way, but I’m into stucco.\n(E) I'm going to level with you. I don't usually get laid on the first date.\n(F) You're much easier to talk to than I expected!\n(G) It’s the latest COVID recommendation by the CDC\n(H) Andrew, I meant it metaphorically.\n(I) I’m level headed\n(J) I have no idea what's come between us.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:195", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A bartender is pouring a drink for a customer who appears to be Humpty Dumpty. Humpty Dumpty is sitting at the bar with bandages and cracks all over his shell, indicating he has been put back together.\n\n Which of the following captions is the funniest?\n(A) Well, I lost a little albumen, but my yolk's still intact.\n(B) I feel like hell in an Easter basket.\n(C) Day Trader on Wall Street ... it was my dream job.\n(D) Just don't let me get pickled.\n(E) If the King's horses call, I'm not here.\n(F) Make it a double, I might as well fall off the wagon too.\n(G) I mean, who sends horses?\n(H) Thank God it was just a bar stool, Jimmy.\n(I) It was a mess. About a dozen of us were just sitting on a wall. But when a fight started, the rest of them dumped me and scrambled.\n(J) They put me together again, but it’ll cost me an arm and a leg.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:196", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A fish and a bird are facing each other in mid-air, seemingly having a conversation.\n\n Which of the following captions is the funniest?\n(A) Climate Change deniers still refuse to believe that sea levels are rising.\n(B) Okay, I'm de-evolving, but it's getting hot up there.\n(C) One of us is quite extraordinary.\n(D) Great to meet a fellow foodie. Let's Netflix and chill some time.\n(E) They tried to pigeonhole me, too. Then again, I am a pigeon.\n(F) My uncle still thinks climate change is just a hoax.\n(G) It could work. We both like worms.\n(H) \"I'm sure the lyric is fish gotta swim birds gotta fly\".\n(I) From my view of things, a fish won't get caught if he simply keeps his mouth shut.\n(J) I'm fighting segregation.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:nycc:198", "request": "The following is a description of a funny cartoon for the New Yorker Caption Contest\n\n Description: A person is fixing their car on a dark, forested road at night. A large, menacing creature with sharp teeth is watching them from the shadows.\n\n Which of the following captions is the funniest?\n(A) That's a bear of a problem you got there.\n(B) My what big teeth you have Mr. Repairman.\n(C) Look what just arrived? Meal on Wheels!\n(D) You were right. It's the carburetor.\n(E) If you help get this boulder off my foot I'll give you a push to the nearest gas station.\n(F) Hey, Bob. Do you remember when we were in Cub Scouts and you were quite the bully?\n(G) Can I be of any assistance?\n(H) Once they get a taste for stranded driver they can’t help themselves.\n(I) Did you notice the Chicago Bears sticker on the rear of my car?\n(J) Don't worry, I'm waiting for an Impala.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:000", "request": "My aunt has 39 python snakes. My uncle has 28 nissan pathfinder cars. My uncle also has 13 autumn royal grapes. My uncle also has 78 kia niro cars. My aunt also has 10 muscat grapes. I have 13 opossums (thrilled to have these). My uncle also has 57 toyota tundra cars. My brother has 71 apricots. My sister has 52 toyota corolla cars. I also have 43 honda element cars (I am in love with them). I also have 29 breadfruits (here is why I have these many: initially I had 22 of them, then I lost 20 of them, but then I got another 50 of them, but then I lost 23 of them, so at the end I am left with 29 of them). I also have 71 nectarines (received them yesterday). My uncle also has 78 jeep gladiator cars. My aunt also has 77 ducks. I also have 38 mazda cx-90 cars (it is a funny story how I have 38 of them: initially I had 88, then I also got another 94 making it a total of 182, then I got another 43 making it a total of 225, but then I lost 187 of them so eventually I am left with 38 of them now). My mother has 12 wolves. My cousin has 11 riesling grapes. My cousin also has 91 nissan kicks cars. My friend has 28 plantains. My aunt also has 36 beavers. I also have 79 envy apples (here is why I have these many: initially I had 35 of them, then I lost 12 of them, but then I got another 100 of them, but then I lost 44 of them, so at the end I am left with 79 of them). I also have 22 strawberrys (it is a funny story how I have 22 of them: initially I had 28, then I also got another 99 making it a total of 127, then I got another 38 making it a total of 165, but then I lost 143 of them so eventually I am left with 22 of them now). My cousin also has 74 lemons. I also have 10 nissan armada cars (it is a funny story how I have 10 of them: initially I had 60, then I also got another 21 making it a total of 81, then I got another 57 making it a total of 138, but then I lost 128 of them so eventually I am left with 10 of them now). My mother also has 25 mazda cx-50 cars. I also have 62 hyundai santa fe cars (it is a funny story how I have 62 of them: initially I had 79, then I also got another 64 making it a total of 143, then I got another 89 making it a total of 232, but then I lost 170 of them so eventually I am left with 62 of them now). I also have 34 jonagold apples (happt to have them). I also have 24 monkeys (they were given to me as a gift). My grandmother has 46 guavas. My sister also has 90 nissan altima cars. I also have 68 dates (here is why I have these many: initially I had 96 of them, then I lost 32 of them, but then I got another 11 of them, but then I lost 7 of them, so at the end I am left with 68 of them). My uncle also has 73 falcons. My uncle also has 50 toyota highlander cars. I also have 89 gala apples (here is why I have these many: initially I had 16 of them, then I lost 10 of them, but then I got another 86 of them, but then I lost 3 of them, so at the end I am left with 89 of them). I also have 43 jazz apples (hope to have more in the future). I also have 54 skunks (here is why I have these many: initially I had 95 of them, then I lost 15 of them, but then I got another 31 of them, but then I lost 57 of them, so at the end I am left with 54 of them). My grandmother also has 34 penguins. My friend also has 63 mazda3 cars. My uncle also has 5 lychees. I also have 54 black rat snakes (it is a funny story how I have 54 of them: initially I had 26, then I also got another 11 making it a total of 37, then I got another 61 making it a total of 98, but then I lost 44 of them so eventually I am left with 54 of them now). I also have 41 volkswagen golf cars (I really like them). I also have 79 nissan ariya cars (thrilled to have these). My brother also has 89 narwhals. I also have 81 cheetahs (hope to have more in the future). I also have 33 honeycrisp apples (here is why I have these many: initially I had 25 of them, then I lost 12 of them, but then I got another 36 of them, but then I lost 16 of them, so at the end I am left with 33 of them). I also have 72 honda odyssey cars (I like these a lot). My grandmother also has 78 mazda mx-30 cars. My mother also has 48 mazda cx-3 cars. I also have 76 pinot noir grapes (feeling good about this). My aunt also has 48 shrimps. I also have 6 subaru ascent cars (happt to have them). I also have 38 honda prologuq cars (it is a funny story how I have 38 of them: initially I had 49, then I also got another 32 making it a total of 81, then I got another 76 making it a total of 157, but then I lost 119 of them so eventually I am left with 38 of them now). My aunt also has 39 toyota avalon cars. I also have 14 cranes (here is why I have these many: initially I had 54 of them, then I lost 53 of them, but then I got another 25 of them, but then I lost 12 of them, so at the end I am left with 14 of them). My sister also has 90 whales. My mother also has 95 hippopotamus. I also have 73 raspberrys (it is a funny story how I have 73 of them: initially I had 18, then I also got another 20 making it a total of 38, then I got another 38 making it a total of 76, but then I lost 3 of them so eventually I am left with 73 of them now). My uncle also has 51 dragonfruits. My father has 75 garter snakes. I also have 48 camels (it is a funny story how I have 48 of them: initially I had 65, then I also got another 34 making it a total of 99, then I got another 55 making it a total of 154, but then I lost 106 of them so eventually I am left with 48 of them now). I also have 90 cranberrys (it is a funny story how I have 90 of them: initially I had 25, then I also got another 73 making it a total of 98, then I got another 60 making it a total of 158, but then I lost 68 of them so eventually I am left with 90 of them now). I also have 83 pigeons (it is a funny story how I have 83 of them: initially I had 89, then I also got another 28 making it a total of 117, then I got another 23 making it a total of 140, but then I lost 57 of them so eventually I am left with 83 of them now). I also have 49 cantaloupes (it is a funny story how I have 49 of them: initially I had 86, then I also got another 72 making it a total of 158, then I got another 28 making it a total of 186, but then I lost 137 of them so eventually I am left with 49 of them now). My aunt also has 64 lizards. My father also has 82 llamas. I also have 29 honda accord cars (here is why I have these many: initially I had 52 of them, then I lost 14 of them, but then I got another 77 of them, but then I lost 86 of them, so at the end I am left with 29 of them). My grandmother also has 49 cobras. I also have 6 plums (happt to have them). My grandmother also has 21 flys. My cousin also has 49 gorillas. My brother also has 67 pink lady apples. My grandfather has 69 elderberryoranges. My sister also has 78 moose. I also have 24 pears (here is why I have these many: initially I had 19 of them, then I lost 17 of them, but then I got another 30 of them, but then I lost 8 of them, so at the end I am left with 24 of them). My mother also has 5 antelopes. My aunt also has 87 kangaroos. My grandmother also has 79 hens. I also have 3 prairie dogs (here is why I have these many: initially I had 24 of them, then I lost 17 of them, but then I got another 88 of them, but then I lost 92 of them, so at the end I am left with 3 of them). My aunt also has 79 dodge challenger cars. My grandfather also has 17 mazda2 cars. My father also has 67 ravens. My father also has 51 peaches. I also have 81 hummingbirds (I like these a lot). My friend also has 4 flamingoes. My cousin also has 12 bananas. My brother also has 73 clementinefigs. I also have 9 coconuts (it is a funny story how I have 9 of them: initially I had 67, then I also got another 65 making it a total of 132, then I got another 97 making it a total of 229, but then I lost 220 of them so eventually I am left with 9 of them now). My aunt also has 64 ferrets. I also have 10 grapefruits (here is why I have these many: initially I had 55 of them, then I lost 32 of them, but then I got another 11 of them, but then I lost 24 of them, so at the end I am left with 10 of them). My father also has 77 boa snakes. My brother also has 85 ginger gold apples. I also have 38 mazda cx-5 cars (feeling great about this). I also have 59 soursops (feeling good about this). I also have 27 spartan apples (happt to have them). I also have 82 toads (it is a funny story how I have 82 of them: initially I had 23, then I also got another 78 making it a total of 101, then I got another 84 making it a total of 185, but then I lost 103 of them so eventually I am left with 82 of them now). My mother also has 49 chimpanzees. I also have 85 crabs (I really like them). I also have 90 mamba snakes (maybe I just need some of them). My aunt also has 76 vultures. My cousin also has 57 pineapples. My aunt also has 54 seals. I also have 48 rattlesnakes (very happy to have them). My mother also has 15 mulberrys. I also have 52 ford edge cars (very happy to have them). My uncle also has 62 snails. My grandfather also has 70 honda cr-v cars. I also have 61 nissan sentra cars (feeling great about this). What is the absolute difference of the total number of fruits and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:001", "request": "I have 91 saxophones (feeling good about this). My father has 97 chickens. I also have 5 harpsichords (maybe I just need some of them). My mother has 68 sharks. I also have 38 coconuts (I do not think I need this much). I also have 69 balafons (here is why I have these many: initially I had 46 of them, then I lost 27 of them, but then I got another 99 of them, but then I lost 49 of them, so at the end I am left with 69 of them). My mother also has 52 pinot noir grapes. My grandfather has 46 n'gonis. My aunt has 63 kiwis. I also have 57 mice (it is a funny story how I have 57 of them: initially I had 89, then I also got another 37 making it a total of 126, then I got another 13 making it a total of 139, but then I lost 82 of them so eventually I am left with 57 of them now). My sister has 51 cows. My grandfather also has 88 clarinets. I also have 6 strawberrys (feeling good about this). My mother also has 94 bassoons. I also have 25 bouzoukis (received them yesterday). My grandfather also has 43 zebras. I also have 91 syrah grapes (thrilled to have these). My grandfather also has 55 moose. My father also has 26 tamburas. I also have 50 koras (it is a funny story how I have 50 of them: initially I had 56, then I also got another 17 making it a total of 73, then I got another 91 making it a total of 164, but then I lost 114 of them so eventually I am left with 50 of them now). My friend has 30 electric violins. My aunt also has 66 blueberrys. My cousin has 7 sloths. My friend also has 95 drums. My father also has 33 garter snakes. I also have 6 giraffes (I really like them). I also have 18 mosquitoes (feeling great about this). My grandmother has 72 kazoos. I also have 78 dates (here is why I have these many: initially I had 52 of them, then I lost 51 of them, but then I got another 96 of them, but then I lost 19 of them, so at the end I am left with 78 of them). I also have 50 albatross (feeling great about this). I also have 71 nectarines (hope to have more in the future). My grandmother also has 53 apricots. I also have 31 quinces (here is why I have these many: initially I had 38 of them, then I lost 19 of them, but then I got another 64 of them, but then I lost 52 of them, so at the end I am left with 31 of them). My mother also has 32 soursops. My brother has 41 seahorses. My grandmother also has 26 synthesizer keyboards. My uncle has 60 mandolins. I also have 3 eagles (it is a funny story how I have 3 of them: initially I had 32, then I also got another 63 making it a total of 95, then I got another 41 making it a total of 136, but then I lost 133 of them so eventually I am left with 3 of them now). My sister also has 95 elderberryoranges. My sister also has 66 dulcimers. My friend also has 16 ocarinas. My cousin also has 87 ladybugs. I also have 31 pears (received them yesterday). My mother also has 37 xylophones. I also have 65 gala apples (it is a funny story how I have 65 of them: initially I had 26, then I also got another 60 making it a total of 86, then I got another 29 making it a total of 115, but then I lost 50 of them so eventually I am left with 65 of them now). I also have 10 ambrosia apples (one day, I will have more of them). My father also has 31 banjoes. My brother also has 17 double bass. My grandmother also has 68 vibraphone, steelpans. My cousin also has 2 komodo dragons. My grandmother also has 85 tanpuras. My uncle also has 91 zithers. My aunt also has 52 mangoes. I also have 8 hawks (feeling great about this). My father also has 86 king cobra snakes. I also have 86 sheep (maybe I just need some of them). I also have 81 muscat grapes (I like these a lot). I also have 6 pineapples (here is why I have these many: initially I had 19 of them, then I lost 17 of them, but then I got another 54 of them, but then I lost 50 of them, so at the end I am left with 6 of them). My father also has 18 kotoes. I also have 19 monkeys (received them yesterday). I also have 49 tablas (here is why I have these many: initially I had 16 of them, then I lost 10 of them, but then I got another 74 of them, but then I lost 31 of them, so at the end I am left with 49 of them). My mother also has 85 cherrys. I also have 23 jonagold apples (very happy to have them). My grandfather also has 22 tars. My mother also has 80 maracas. My grandfather also has 44 guavas. My aunt also has 5 raspberrys. I also have 59 prairie dogs (received them last month). My sister also has 64 koalas. My sister also has 37 boars. I also have 71 electric pianos (here is why I have these many: initially I had 61 of them, then I lost 25 of them, but then I got another 61 of them, but then I lost 26 of them, so at the end I am left with 71 of them). I also have 7 foxes (it is a funny story how I have 7 of them: initially I had 42, then I also got another 97 making it a total of 139, then I got another 97 making it a total of 236, but then I lost 229 of them so eventually I am left with 7 of them now). I also have 44 french horns (here is why I have these many: initially I had 37 of them, then I lost 24 of them, but then I got another 82 of them, but then I lost 51 of them, so at the end I am left with 44 of them). My cousin also has 76 roosters. My mother also has 21 djembes. My friend also has 75 seals. I also have 47 grapefruits (one day, I will have more of them). I also have 22 cattles (I like these a lot). My grandmother also has 44 butterflys. My brother also has 96 bansuris. I also have 68 dolphins (it is a funny story how I have 68 of them: initially I had 84, then I also got another 24 making it a total of 108, then I got another 74 making it a total of 182, but then I lost 114 of them so eventually I am left with 68 of them now). My uncle also has 97 kalimbas. My uncle also has 55 buffaloes. My aunt also has 68 guinea pigs. My mother also has 1 vulture. I also have 50 setars (here is why I have these many: initially I had 92 of them, then I lost 88 of them, but then I got another 56 of them, but then I lost 10 of them, so at the end I am left with 50 of them). I also have 81 rababs (it is a funny story how I have 81 of them: initially I had 41, then I also got another 83 making it a total of 124, then I got another 40 making it a total of 164, but then I lost 83 of them so eventually I am left with 81 of them now). My brother also has 98 elephants. My grandmother also has 31 pipas. I also have 25 electric drums (here is why I have these many: initially I had 92 of them, then I lost 60 of them, but then I got another 44 of them, but then I lost 51 of them, so at the end I am left with 25 of them). I also have 12 alpacas (feeling good about this). I also have 51 autumn royal grapes (here is why I have these many: initially I had 100 of them, then I lost 14 of them, but then I got another 84 of them, but then I lost 119 of them, so at the end I am left with 51 of them). My aunt also has 73 panpipes. My mother also has 61 chardonnay grapes. I also have 47 bagpipes (they were given to me as a gift). My sister also has 41 iguanas. My uncle also has 17 crocodiles. My cousin also has 52 autoharps. My grandmother also has 17 honeydews. My sister also has 94 guitars. My aunt also has 50 shamisens. I also have 34 lemons (feeling good about this). My cousin also has 97 cobras. My cousin also has 81 riesling grapes. My grandmother also has 25 boa snakes. My aunt also has 59 sruti boxes. My sister also has 61 ouds. My brother also has 1 electric bass. I also have 78 clementinefigs (received them last month). I also have 82 bongos (I really like them). My father also has 44 spartan apples. I also have 90 organs (I like these a lot). My brother also has 46 theremins. I also have 57 frogs (here is why I have these many: initially I had 97 of them, then I lost 49 of them, but then I got another 82 of them, but then I lost 73 of them, so at the end I am left with 57 of them). I also have 24 goldfish (it is a funny story how I have 24 of them: initially I had 59, then I also got another 18 making it a total of 77, then I got another 55 making it a total of 132, but then I lost 108 of them so eventually I am left with 24 of them now). I also have 4 watermelons (I really like them). My grandmother also has 71 stingrays. My grandfather also has 7 kangaroos. My brother also has 83 ferrets. My sister also has 13 hummingbirds. My sister also has 81 plums. My mother also has 71 chimpanzees. My father also has 21 cotton candy grapes. My grandfather also has 4 rebecs. My aunt also has 31 bananas. My grandmother also has 21 canarys. I also have 18 dogs (it is a funny story how I have 18 of them: initially I had 84, then I also got another 10 making it a total of 94, then I got another 97 making it a total of 191, but then I lost 173 of them so eventually I am left with 18 of them now). I also have 1 cat (it is a funny story how I have 1 of them: initially I had 83, then I also got another 88 making it a total of 171, then I got another 28 making it a total of 199, but then I lost 198 of them so eventually I am left with 1 of them now). My grandfather also has 49 pink lady apples. I also have 88 skunks (they are great). I also have 52 jackfruits (received them last week). My father also has 29 mallards. My uncle also has 9 beavers. I also have 70 accordions (here is why I have these many: initially I had 41 of them, then I lost 15 of them, but then I got another 88 of them, but then I lost 44 of them, so at the end I am left with 70 of them). My grandfather also has 99 tortoises. My grandmother also has 92 reindeer. I also have 53 doves (here is why I have these many: initially I had 75 of them, then I lost 24 of them, but then I got another 57 of them, but then I lost 55 of them, so at the end I am left with 53 of them). I also have 33 nebbiolo grapes (here is why I have these many: initially I had 59 of them, then I lost 15 of them, but then I got another 47 of them, but then I lost 58 of them, so at the end I am left with 33 of them). My uncle also has 5 mbiras. What is the sum of the total number of animals/insects and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:003", "request": "I have 3 fuji apples (it is a funny story how I have 3 of them: initially I had 49, then I also got another 40 making it a total of 89, then I got another 60 making it a total of 149, but then I lost 146 of them so eventually I am left with 3 of them now). My brother has 47 samsung galaxy a55 mobiles. My mother has 15 clementinefigs. I also have 69 alligators (here is why I have these many: initially I had 36 of them, then I lost 33 of them, but then I got another 73 of them, but then I lost 7 of them, so at the end I am left with 69 of them). My grandfather has 79 papayas. My sister has 30 raspberrys. My mother also has 5 huawei pura 70 pro mobiles. I also have 54 quinces (it is a funny story how I have 54 of them: initially I had 17, then I also got another 53 making it a total of 70, then I got another 27 making it a total of 97, but then I lost 43 of them so eventually I am left with 54 of them now). I also have 96 iphone x mobiles (here is why I have these many: initially I had 45 of them, then I lost 19 of them, but then I got another 75 of them, but then I lost 5 of them, so at the end I am left with 96 of them). My grandmother has 92 huawei pura 70 pro+ mobiles. I also have 99 crabs (it is a funny story how I have 99 of them: initially I had 84, then I also got another 24 making it a total of 108, then I got another 33 making it a total of 141, but then I lost 42 of them so eventually I am left with 99 of them now). My brother also has 38 kiwis. I also have 55 autumn royal grapes (here is why I have these many: initially I had 76 of them, then I lost 19 of them, but then I got another 11 of them, but then I lost 13 of them, so at the end I am left with 55 of them). My grandfather also has 18 buffaloes. My aunt has 62 motorola mobiles. I also have 18 lemons (feeling great about this). My sister also has 53 pigeons. My uncle has 17 macaws. I also have 70 huawei mate 70 mobiles (it is a funny story how I have 70 of them: initially I had 81, then I also got another 26 making it a total of 107, then I got another 92 making it a total of 199, but then I lost 129 of them so eventually I am left with 70 of them now). My friend has 22 lemurs. I also have 35 iphone 5 mobiles (I really like them). My brother also has 7 honeycrisp apples. My cousin has 20 chickens. I also have 43 whales (it is a funny story how I have 43 of them: initially I had 52, then I also got another 84 making it a total of 136, then I got another 18 making it a total of 154, but then I lost 111 of them so eventually I am left with 43 of them now). I also have 27 swans (one day, I will have more of them). I also have 68 huawei pura 70 ultra mobiles (received them last month). My mother also has 10 zte mobiles. I also have 66 chardonnay grapes (it is a funny story how I have 66 of them: initially I had 29, then I also got another 14 making it a total of 43, then I got another 59 making it a total of 102, but then I lost 36 of them so eventually I am left with 66 of them now). My cousin also has 15 breadfruits. I also have 39 infinix mobiles (here is why I have these many: initially I had 62 of them, then I lost 50 of them, but then I got another 95 of them, but then I lost 68 of them, so at the end I am left with 39 of them). I also have 66 cantaloupes (it is a funny story how I have 66 of them: initially I had 59, then I also got another 56 making it a total of 115, then I got another 53 making it a total of 168, but then I lost 102 of them so eventually I am left with 66 of them now). My grandmother also has 32 persimmons. My father has 56 elks. My sister also has 67 spartan apples. My mother also has 6 grapefruits. My grandfather also has 63 huawei nova 11 se mobiles. My aunt also has 84 chameleons. I also have 93 apricots (one day, I will have more of them). I also have 90 hawks (here is why I have these many: initially I had 38 of them, then I lost 13 of them, but then I got another 100 of them, but then I lost 35 of them, so at the end I am left with 90 of them). My mother also has 77 iphone 11 mobiles. My grandfather also has 41 syrah grapes. I also have 81 cotton candy grapes (feeling great about this). I also have 38 blackberry mobiles (feeling great about this). My father also has 48 merlot grapes. My aunt also has 80 dates. I also have 98 vultures (they were given to me as a gift). My friend also has 27 realme mobiles. My father also has 70 snails. I also have 26 iphone 8 mobiles (I really like them). My mother also has 26 baboons. I also have 65 owls (received them yesterday). My grandfather also has 90 pears. My friend also has 21 hippopotamus. I also have 57 gala apples (here is why I have these many: initially I had 58 of them, then I lost 38 of them, but then I got another 96 of them, but then I lost 59 of them, so at the end I am left with 57 of them). I also have 81 kangaroos (here is why I have these many: initially I had 87 of them, then I lost 22 of them, but then I got another 82 of them, but then I lost 66 of them, so at the end I am left with 81 of them). My uncle also has 6 salamanders. My friend also has 17 samsung galaxy a15 mobiles. I also have 26 plums (very happy to have them). I also have 18 bananas (one day, I will have more of them). My father also has 95 oneplus mobiles. My mother also has 85 hedgehogs. My mother also has 69 salmon. My friend also has 11 mulberrys. My friend also has 19 mosquitoes. My sister also has 19 nokia mobiles. My grandmother also has 29 envy apples. My uncle also has 84 huawei nova 13 mobiles. I also have 25 blueberrys (received them last week). My brother also has 37 samsung galaxy m55s mobiles. My brother also has 15 cockroaches. My grandmother also has 18 plantains. My cousin also has 34 hamsters. I also have 95 crows (received them yesterday). My grandfather also has 50 sheep. My cousin also has 99 grenache grapes. My cousin also has 40 riesling grapes. My grandfather also has 27 coconuts. My cousin also has 69 orangutans. I also have 22 starfruits (they were given to me as a gift). I also have 53 pinot noir grapes (it is a funny story how I have 53 of them: initially I had 77, then I also got another 35 making it a total of 112, then I got another 37 making it a total of 149, but then I lost 96 of them so eventually I am left with 53 of them now). My brother also has 25 honor mobiles. My friend also has 71 nebbiolo grapes. My grandmother also has 34 samsung galaxy tab s10 mobiles. I also have 4 peaches (it is a funny story how I have 4 of them: initially I had 99, then I also got another 92 making it a total of 191, then I got another 14 making it a total of 205, but then I lost 201 of them so eventually I am left with 4 of them now). My father also has 28 king cobra snakes. I also have 61 stingrays (happt to have them). My uncle also has 95 meizu mobiles. I also have 64 watermelons (it is a funny story how I have 64 of them: initially I had 39, then I also got another 27 making it a total of 66, then I got another 62 making it a total of 128, but then I lost 64 of them so eventually I am left with 64 of them now). I also have 63 newts (here is why I have these many: initially I had 97 of them, then I lost 28 of them, but then I got another 24 of them, but then I lost 30 of them, so at the end I am left with 63 of them). I also have 93 samsung galaxy z fold6 mobiles (it is a funny story how I have 93 of them: initially I had 35, then I also got another 47 making it a total of 82, then I got another 76 making it a total of 158, but then I lost 65 of them so eventually I am left with 93 of them now). I also have 95 muscat grapes (hope to have more in the future). My cousin also has 81 magpies. I also have 45 garter snakes (planning to have more in the future). My cousin also has 57 apes. I also have 5 tecno mobiles (I am in love with them). What is the sum of the total number of fruits and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:005", "request": "My mother has 21 iphone 13 mobiles. My brother has 29 electric bass. My aunt has 78 double bass. I have 85 snails (received them last week). I also have 15 electric cellos (here is why I have these many: initially I had 53 of them, then I lost 10 of them, but then I got another 34 of them, but then I lost 62 of them, so at the end I am left with 15 of them). I also have 82 n'gonis (it is a funny story how I have 82 of them: initially I had 70, then I also got another 40 making it a total of 110, then I got another 20 making it a total of 130, but then I lost 48 of them so eventually I am left with 82 of them now). My brother also has 34 harmonicas. I also have 96 cockroaches (they are great). My mother also has 8 autoharps. My brother also has 52 trombones. My father has 74 honor mobiles. My uncle has 68 tecno mobiles. My grandfather has 23 iphone 16 mobiles. My aunt also has 28 camels. My aunt also has 85 glockenspiels. My sister has 39 kotoes. My father also has 23 salmon. My brother also has 98 butterflys. I also have 29 huawei nova 12 pro mobiles (feeling great about this). My aunt also has 41 drums. My uncle also has 62 timpanis. My mother also has 80 xiaomi mobiles. My brother also has 65 iphone 14 mobiles. I also have 23 samsung galaxy f05 mobiles (I do not think I need this much). My grandfather also has 73 bass guitars. My father also has 78 samsung galaxy s24 mobiles. My sister also has 19 huawei nova 12s mobiles. I also have 18 xylophones (it is a funny story how I have 18 of them: initially I had 27, then I also got another 24 making it a total of 51, then I got another 17 making it a total of 68, but then I lost 50 of them so eventually I am left with 18 of them now). I also have 86 samsung galaxy z fold5 mobiles (I like these a lot). My cousin has 47 crows. I also have 54 accordions (it is a funny story how I have 54 of them: initially I had 82, then I also got another 10 making it a total of 92, then I got another 67 making it a total of 159, but then I lost 105 of them so eventually I am left with 54 of them now). I also have 54 pianos (they are great). I also have 58 iphone 5 mobiles (received them yesterday). My cousin also has 39 zte mobiles. I also have 86 huawei mate 70 mobiles (feeling good about this). I also have 97 tigers (they are great). My mother also has 25 trout. My uncle also has 10 rababs. My mother also has 21 nadaswarams. My father also has 16 violins. I also have 67 frogs (it is a funny story how I have 67 of them: initially I had 22, then I also got another 85 making it a total of 107, then I got another 27 making it a total of 134, but then I lost 67 of them so eventually I am left with 67 of them now). My aunt also has 27 dogs. My aunt also has 49 orangutans. My friend has 27 french horns. I also have 78 tambourines (they were given to me as a gift). My uncle also has 23 panpipes. I also have 87 motorola mobiles (received them yesterday). I also have 97 electric drums (thrilled to have these). My grandfather also has 32 iphone 4 mobiles. My uncle also has 62 iphone 7 mobiles. I also have 92 hawks (I am in love with them). I also have 59 ukuleles (it is a funny story how I have 59 of them: initially I had 28, then I also got another 81 making it a total of 109, then I got another 82 making it a total of 191, but then I lost 132 of them so eventually I am left with 59 of them now). My brother also has 96 samsung galaxy z fold6 mobiles. I also have 60 huawei nova 11 se mobiles (I really like them). My uncle also has 17 iphone 15 mobiles. My sister also has 63 lutes. My sister also has 20 flutes. My cousin also has 11 tanpuras. My grandfather also has 83 huawei pura 70 ultra mobiles. My aunt also has 89 nokia mobiles. I also have 11 theremins (one day, I will have more of them). My grandmother has 46 vivo mobiles. My grandfather also has 40 congas. My friend also has 2 doves. My aunt also has 92 kazoos. My mother also has 46 sharks. My sister also has 22 clavichords. My grandfather also has 24 sitars. My cousin also has 87 mamba snakes. My cousin also has 42 impalas. My mother also has 13 mandolins. My father also has 57 koras. I also have 64 organs (it is a funny story how I have 64 of them: initially I had 31, then I also got another 73 making it a total of 104, then I got another 94 making it a total of 198, but then I lost 134 of them so eventually I am left with 64 of them now). My friend also has 38 lizards. My sister also has 48 prairie dogs. I also have 84 rebecs (it is a funny story how I have 84 of them: initially I had 84, then I also got another 48 making it a total of 132, then I got another 11 making it a total of 143, but then I lost 59 of them so eventually I am left with 84 of them now). I also have 46 tablas (here is why I have these many: initially I had 23 of them, then I lost 14 of them, but then I got another 92 of them, but then I lost 55 of them, so at the end I am left with 46 of them). My grandfather also has 2 oboes. My mother also has 38 shehnais. My sister also has 59 electric pianos. I also have 12 guitars (very happy to have them). My sister also has 84 tamburas. My mother also has 52 crocodiles. My father also has 81 zithers. I also have 77 djembes (one day, I will have more of them). My father also has 7 shamisens. I also have 94 samsung galaxy c55 mobiles (I like these a lot). I also have 94 meizu mobiles (planning to have more in the future). My brother also has 49 htc mobiles. My father also has 21 mridangams. My sister also has 89 iphone 11 mobiles. My grandmother also has 28 biwas. I also have 94 storks (very happy to have them). My cousin also has 80 boars. I also have 18 echidnas (hope to have more in the future). My sister also has 54 iphone 12 mobiles. I also have 35 lemurs (here is why I have these many: initially I had 73 of them, then I lost 57 of them, but then I got another 47 of them, but then I lost 28 of them, so at the end I am left with 35 of them). I also have 90 goats (received them yesterday). I also have 26 geese (maybe I just need some of them). My aunt also has 22 iphone x mobiles. I also have 88 mbiras (it is a funny story how I have 88 of them: initially I had 75, then I also got another 48 making it a total of 123, then I got another 20 making it a total of 143, but then I lost 55 of them so eventually I am left with 88 of them now). My aunt also has 55 parrots. I also have 16 ants (here is why I have these many: initially I had 33 of them, then I lost 19 of them, but then I got another 71 of them, but then I lost 69 of them, so at the end I am left with 16 of them). I also have 55 hummingbirds (they were given to me as a gift). I also have 81 bisons (hope to have more in the future). I also have 62 recorders (I am in love with them). I also have 23 samsung galaxy a16 mobiles (received them last month). I also have 81 wasps (here is why I have these many: initially I had 80 of them, then I lost 13 of them, but then I got another 82 of them, but then I lost 68 of them, so at the end I am left with 81 of them). My aunt also has 95 python snakes. My brother also has 21 roosters. I also have 78 guinea pigs (I do not think I need this much). My friend also has 20 cattles. My sister also has 24 rats. My friend also has 14 oneplus mobiles. My cousin also has 95 reindeer. I also have 27 harps (here is why I have these many: initially I had 76 of them, then I lost 53 of them, but then I got another 38 of them, but then I lost 34 of them, so at the end I am left with 27 of them). My brother also has 96 huawei pura 70 mobiles. My aunt also has 36 samsung galaxy a15 mobiles. What is the absolute difference of the total number of musical instruments and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:008", "request": "I have 87 cranberrys (it is a funny story how I have 87 of them: initially I had 68, then I also got another 14 making it a total of 82, then I got another 25 making it a total of 107, but then I lost 20 of them so eventually I am left with 87 of them now). I also have 97 grapefruits (they were given to me as a gift). My friend has 93 violins. My friend also has 12 lychees. My sister has 60 merlot grapes. I also have 62 dulcimers (here is why I have these many: initially I had 24 of them, then I lost 15 of them, but then I got another 84 of them, but then I lost 31 of them, so at the end I am left with 62 of them). My mother has 40 motorola mobiles. I also have 29 xylophones (maybe I just need some of them). My grandmother has 44 samsung galaxy a35 mobiles. My friend also has 54 samsung galaxy c55 mobiles. My mother also has 55 mbiras. I also have 25 koras (it is a funny story how I have 25 of them: initially I had 23, then I also got another 30 making it a total of 53, then I got another 76 making it a total of 129, but then I lost 104 of them so eventually I am left with 25 of them now). I also have 95 samsung galaxy z fold6 mobiles (planning to have more in the future). I also have 3 zte mobiles (planning to have more in the future). I also have 98 erhus (they were given to me as a gift). I also have 68 iphone 14 mobiles (it is a funny story how I have 68 of them: initially I had 89, then I also got another 20 making it a total of 109, then I got another 11 making it a total of 120, but then I lost 52 of them so eventually I am left with 68 of them now). My mother also has 59 vivo mobiles. My father has 74 bassoons. I also have 98 ukuleles (here is why I have these many: initially I had 32 of them, then I lost 26 of them, but then I got another 95 of them, but then I lost 3 of them, so at the end I am left with 98 of them). My grandfather has 74 xiaomi mobiles. I also have 27 kiwis (here is why I have these many: initially I had 73 of them, then I lost 64 of them, but then I got another 52 of them, but then I lost 34 of them, so at the end I am left with 27 of them). My brother has 3 plantains. My grandmother also has 61 mangoes. I also have 33 persimmons (here is why I have these many: initially I had 75 of them, then I lost 45 of them, but then I got another 14 of them, but then I lost 11 of them, so at the end I am left with 33 of them). I also have 89 bongos (it is a funny story how I have 89 of them: initially I had 50, then I also got another 12 making it a total of 62, then I got another 89 making it a total of 151, but then I lost 62 of them so eventually I am left with 89 of them now). I also have 7 dragonfruits (it is a funny story how I have 7 of them: initially I had 78, then I also got another 60 making it a total of 138, then I got another 44 making it a total of 182, but then I lost 175 of them so eventually I am left with 7 of them now). My grandmother also has 24 nebbiolo grapes. My cousin has 12 samsung galaxy a16 mobiles. My friend also has 16 iphone 6 mobiles. I also have 91 iphone 7 mobiles (here is why I have these many: initially I had 37 of them, then I lost 27 of them, but then I got another 97 of them, but then I lost 16 of them, so at the end I am left with 91 of them). I also have 27 iphone 16 mobiles (it is a funny story how I have 27 of them: initially I had 28, then I also got another 79 making it a total of 107, then I got another 73 making it a total of 180, but then I lost 153 of them so eventually I am left with 27 of them now). I also have 11 ouds (I do not think I need this much). My grandmother also has 17 huawei nova 13 mobiles. My grandfather also has 14 pomegranates. My friend also has 1 soursop. My grandfather also has 76 grenache grapes. I also have 70 harmonicas (it is a funny story how I have 70 of them: initially I had 55, then I also got another 38 making it a total of 93, then I got another 89 making it a total of 182, but then I lost 112 of them so eventually I am left with 70 of them now). My friend also has 7 timpanis. I also have 60 jonagold apples (received them yesterday). My uncle has 79 huawei pura 70 pro+ mobiles. I also have 23 jackfruits (they were given to me as a gift). My friend also has 27 blueberrys. I also have 79 samsung galaxy a15 mobiles (it is a funny story how I have 79 of them: initially I had 86, then I also got another 13 making it a total of 99, then I got another 69 making it a total of 168, but then I lost 89 of them so eventually I am left with 79 of them now). I also have 11 oneplus mobiles (I am in love with them). My friend also has 29 honor mobiles. My friend also has 43 envy apples. My friend also has 69 vibraphone, steelpans. I also have 31 spartan apples (it is a funny story how I have 31 of them: initially I had 63, then I also got another 34 making it a total of 97, then I got another 60 making it a total of 157, but then I lost 126 of them so eventually I am left with 31 of them now). I also have 70 mandolins (I really like them). I also have 33 chardonnay grapes (very happy to have them). I also have 77 syrah grapes (received them yesterday). My brother also has 65 kazoos. I also have 34 huawei nova 11 se mobiles (happt to have them). My aunt has 30 guavas. I also have 38 lemons (they were given to me as a gift). I also have 84 sazzes (it is a funny story how I have 84 of them: initially I had 45, then I also got another 57 making it a total of 102, then I got another 93 making it a total of 195, but then I lost 111 of them so eventually I am left with 84 of them now). I also have 53 cherrys (here is why I have these many: initially I had 23 of them, then I lost 12 of them, but then I got another 96 of them, but then I lost 54 of them, so at the end I am left with 53 of them). My grandfather also has 30 jazz apples. My grandmother also has 38 realme mobiles. My grandmother also has 70 samsung galaxy z fold5 mobiles. I also have 61 clavichords (it is a funny story how I have 61 of them: initially I had 67, then I also got another 82 making it a total of 149, then I got another 40 making it a total of 189, but then I lost 128 of them so eventually I am left with 61 of them now). I also have 15 iphone 5 mobiles (here is why I have these many: initially I had 29 of them, then I lost 26 of them, but then I got another 63 of them, but then I lost 51 of them, so at the end I am left with 15 of them). My aunt also has 15 glockenspiels. My uncle also has 17 pennywhistles. I also have 34 elderberryoranges (maybe I just need some of them). I also have 24 flutes (thrilled to have these). I also have 40 biwas (it is a funny story how I have 40 of them: initially I had 96, then I also got another 58 making it a total of 154, then I got another 42 making it a total of 196, but then I lost 156 of them so eventually I am left with 40 of them now). I also have 35 kalimbas (they are great). I also have 93 huawei pura 70 ultra mobiles (here is why I have these many: initially I had 95 of them, then I lost 32 of them, but then I got another 84 of them, but then I lost 54 of them, so at the end I am left with 93 of them). My uncle also has 84 congas. I also have 29 samsung galaxy m55s mobiles (one day, I will have more of them). I also have 38 pipas (hope to have more in the future). I also have 66 tanpuras (feeling good about this). I also have 84 google (pixel) mobiles (here is why I have these many: initially I had 59 of them, then I lost 37 of them, but then I got another 88 of them, but then I lost 26 of them, so at the end I am left with 84 of them). I also have 96 plums (I like these a lot). I also have 77 oppo mobiles (I like these a lot). My grandfather also has 3 rebecs. My father also has 53 blackberry mobiles. My grandfather also has 78 lg mobiles. My brother also has 19 pears. My brother also has 37 cotton candy grapes. I also have 65 samsung galaxy tab s10 mobiles (here is why I have these many: initially I had 19 of them, then I lost 11 of them, but then I got another 95 of them, but then I lost 38 of them, so at the end I am left with 65 of them). I also have 21 iphone 13 mobiles (it is a funny story how I have 21 of them: initially I had 40, then I also got another 85 making it a total of 125, then I got another 15 making it a total of 140, but then I lost 119 of them so eventually I am left with 21 of them now). My aunt also has 25 fuji apples. My grandmother also has 61 huawei mate 70 mobiles. I also have 90 pinot noir grapes (I do not think I need this much). My uncle also has 54 cantaloupes. My father also has 13 harps. I also have 59 htc mobiles (it is a funny story how I have 59 of them: initially I had 13, then I also got another 40 making it a total of 53, then I got another 33 making it a total of 86, but then I lost 27 of them so eventually I am left with 59 of them now). I also have 5 huawei pura 70 pro mobiles (here is why I have these many: initially I had 53 of them, then I lost 52 of them, but then I got another 51 of them, but then I lost 47 of them, so at the end I am left with 5 of them). I also have 96 electric drums (maybe I just need some of them). I also have 31 strawberrys (here is why I have these many: initially I had 65 of them, then I lost 59 of them, but then I got another 47 of them, but then I lost 22 of them, so at the end I am left with 31 of them). I also have 31 huawei nova 12 pro mobiles (here is why I have these many: initially I had 63 of them, then I lost 51 of them, but then I got another 20 of them, but then I lost 1 of them, so at the end I am left with 31 of them). My mother also has 41 huawei nova 12i mobiles. My uncle also has 39 durians. My father also has 42 apricots. My grandfather also has 79 nokia mobiles. I also have 11 papayas (here is why I have these many: initially I had 52 of them, then I lost 47 of them, but then I got another 91 of them, but then I lost 85 of them, so at the end I am left with 11 of them). I also have 19 clementinefigs (it is a funny story how I have 19 of them: initially I had 77, then I also got another 26 making it a total of 103, then I got another 71 making it a total of 174, but then I lost 155 of them so eventually I am left with 19 of them now). My grandmother also has 6 saxophones. I also have 50 ambrosia apples (it is a funny story how I have 50 of them: initially I had 68, then I also got another 91 making it a total of 159, then I got another 63 making it a total of 222, but then I lost 172 of them so eventually I am left with 50 of them now). My sister also has 6 bananas. My father also has 52 bass guitars. My mother also has 77 coconuts. My brother also has 7 iphone x mobiles. I also have 25 riesling grapes (planning to have more in the future). My grandfather also has 41 quinces. I also have 42 iphone 8 mobiles (here is why I have these many: initially I had 49 of them, then I lost 14 of them, but then I got another 31 of them, but then I lost 24 of them, so at the end I am left with 42 of them). My grandfather also has 22 bouzoukis. I also have 12 pineapples (I do not think I need this much). My mother also has 89 synthesizer keyboards. My friend also has 27 lutes. I also have 34 panpipes (received them last month). I also have 78 trumpets (it is a funny story how I have 78 of them: initially I had 12, then I also got another 73 making it a total of 85, then I got another 26 making it a total of 111, but then I lost 33 of them so eventually I am left with 78 of them now). What is the absolute difference of the total number of musical instruments and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:012", "request": "I have 3 honda pilot cars (received them last month). My grandmother has 72 iphone 11 mobiles. My grandfather has 12 nissan maxima cars. My sister has 31 mazda cx-90 cars. My father has 85 mazda cx-80 cars. My aunt has 48 plantains. My grandfather also has 92 iphone x mobiles. My aunt also has 76 pinot noir grapes. My grandfather also has 28 mazda cx-5 cars. My grandmother also has 96 grenache grapes. My sister also has 83 fuji apples. I also have 42 apricots (received them yesterday). I also have 84 hyundai santa fe cars (received them last month). I also have 41 samsung galaxy s24 mobiles (it is a funny story how I have 41 of them: initially I had 58, then I also got another 23 making it a total of 81, then I got another 59 making it a total of 140, but then I lost 99 of them so eventually I am left with 41 of them now). My father also has 81 huawei pura 70 pro+ mobiles. I also have 39 huawei nova 12 pro mobiles (happt to have them). I also have 66 envy apples (here is why I have these many: initially I had 34 of them, then I lost 20 of them, but then I got another 56 of them, but then I lost 4 of them, so at the end I am left with 66 of them). My sister also has 26 samsung galaxy a35 mobiles. My brother has 89 ambrosia apples. My brother also has 81 breadfruits. My cousin has 38 mulberrys. My brother also has 18 honda insight cars. My mother has 32 nissan rogue cars. My brother also has 89 meizu mobiles. My aunt also has 74 nissan sentra cars. My uncle has 68 honda odyssey cars. My uncle also has 69 mazda mx-30 cars. I also have 26 toyota highlander cars (I really like them). I also have 19 motorola mobiles (happt to have them). I also have 72 papayas (here is why I have these many: initially I had 54 of them, then I lost 20 of them, but then I got another 39 of them, but then I lost 1 of them, so at the end I am left with 72 of them). I also have 38 samsung galaxy z fold6 mobiles (I really like them). My grandfather also has 34 honda cr-v cars. My friend has 68 iphone 6 mobiles. I also have 46 syrah grapes (hope to have more in the future). My brother also has 15 iphone 4 mobiles. My friend also has 51 honeydews. I also have 18 nebbiolo grapes (it is a funny story how I have 18 of them: initially I had 39, then I also got another 34 making it a total of 73, then I got another 56 making it a total of 129, but then I lost 111 of them so eventually I am left with 18 of them now). My grandmother also has 38 peaches. I also have 6 huawei pura 70 pro mobiles (maybe I just need some of them). I also have 3 merlot grapes (thrilled to have these). My father also has 65 starfruits. My father also has 11 volkswagen golf cars. I also have 75 huawei mate x6 mobiles (it is a funny story how I have 75 of them: initially I had 67, then I also got another 21 making it a total of 88, then I got another 11 making it a total of 99, but then I lost 24 of them so eventually I am left with 75 of them now). I also have 28 pineapples (they are great). I also have 64 audi a6 cars (it is a funny story how I have 64 of them: initially I had 51, then I also got another 45 making it a total of 96, then I got another 97 making it a total of 193, but then I lost 129 of them so eventually I am left with 64 of them now). My brother also has 34 nissan murano cars. My grandfather also has 66 samsung galaxy f05 mobiles. My sister also has 58 iphone 13 mobiles. My brother also has 36 mazda cx-3 cars. I also have 45 huawei nova 12s mobiles (I really like them). My brother also has 44 watermelons. My cousin also has 43 lg mobiles. I also have 70 toyota corolla cars (very happy to have them). I also have 6 oneplus mobiles (it is a funny story how I have 6 of them: initially I had 46, then I also got another 66 making it a total of 112, then I got another 10 making it a total of 122, but then I lost 116 of them so eventually I am left with 6 of them now). My friend also has 69 vivo mobiles. I also have 27 oppo mobiles (here is why I have these many: initially I had 14 of them, then I lost 11 of them, but then I got another 26 of them, but then I lost 2 of them, so at the end I am left with 27 of them). My aunt also has 22 mazda6 cars. My father also has 33 mangoes. My aunt also has 62 honda hr-v cars. I also have 97 mazda cx-50 cars (it is a funny story how I have 97 of them: initially I had 75, then I also got another 85 making it a total of 160, then I got another 94 making it a total of 254, but then I lost 157 of them so eventually I am left with 97 of them now). I also have 2 quinces (they are great). I also have 49 nissan pathfinder cars (I do not think I need this much). My friend also has 3 toyota tacoma cars. I also have 36 nokia mobiles (here is why I have these many: initially I had 36 of them, then I lost 19 of them, but then I got another 20 of them, but then I lost 1 of them, so at the end I am left with 36 of them). My cousin also has 42 honda passport cars. My grandmother also has 79 bananas. My friend also has 71 kiwis. My friend also has 73 iphone 16 mobiles. My grandfather also has 8 huawei nova 12i mobiles. I also have 4 ginger gold apples (thrilled to have these). My uncle also has 80 nissan titan cars. I also have 95 toyota camry cars (feeling great about this). I also have 86 htc mobiles (here is why I have these many: initially I had 61 of them, then I lost 22 of them, but then I got another 59 of them, but then I lost 12 of them, so at the end I am left with 86 of them). I also have 35 durians (very happy to have them). My aunt also has 29 autumn royal grapes. I also have 4 coconuts (very happy to have them). My cousin also has 95 jonagold apples. My sister also has 47 plums. I also have 57 tecno mobiles (planning to have more in the future). I also have 60 hyundai elantra cars (one day, I will have more of them). My brother also has 50 honda prologuq cars. My uncle also has 53 subaru outback cars. I also have 68 samsung galaxy z fold5 mobiles (here is why I have these many: initially I had 99 of them, then I lost 58 of them, but then I got another 34 of them, but then I lost 7 of them, so at the end I am left with 68 of them). My father also has 11 tesla model s cars. My sister also has 7 sony mobiles. My friend also has 77 honda cr-z cars. My sister also has 68 toyota sienna cars. My friend also has 9 mazda cx-70 cars. My sister also has 74 samsung galaxy a55 mobiles. My grandmother also has 50 samsung galaxy a15 mobiles. I also have 1 honeycrisp apple (happt to have them). My father also has 13 honda civic cars. My brother also has 58 huawei nova 13 mobiles. I also have 17 toyota c-hr cars (it is a funny story how I have 17 of them: initially I had 59, then I also got another 80 making it a total of 139, then I got another 80 making it a total of 219, but then I lost 202 of them so eventually I am left with 17 of them now). What is the sum of the total number of mobiles and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:013", "request": "My sister has 99 nokia mobiles. My uncle has 38 huawei nova 11 se mobiles. My grandfather has 87 cherrys. I have 71 guavas (it is a funny story how I have 71 of them: initially I had 85, then I also got another 22 making it a total of 107, then I got another 70 making it a total of 177, but then I lost 106 of them so eventually I am left with 71 of them now). I also have 43 panpipes (here is why I have these many: initially I had 62 of them, then I lost 33 of them, but then I got another 49 of them, but then I lost 35 of them, so at the end I am left with 43 of them). My cousin has 75 nectarines. My grandfather also has 20 zte mobiles. My father has 6 fuji apples. My friend has 36 samsung galaxy a16 mobiles. My uncle also has 21 samsung galaxy a55 mobiles. I also have 8 flutes (received them yesterday). My aunt has 19 sitars. I also have 55 grapefruits (here is why I have these many: initially I had 94 of them, then I lost 86 of them, but then I got another 53 of them, but then I lost 6 of them, so at the end I am left with 55 of them). My friend also has 14 glockenspiels. I also have 58 jonagold apples (here is why I have these many: initially I had 72 of them, then I lost 49 of them, but then I got another 96 of them, but then I lost 61 of them, so at the end I am left with 58 of them). My sister also has 28 pomegranates. My aunt also has 19 sony mobiles. I also have 26 electric cellos (it is a funny story how I have 26 of them: initially I had 90, then I also got another 72 making it a total of 162, then I got another 96 making it a total of 258, but then I lost 232 of them so eventually I am left with 26 of them now). My brother has 81 meizu mobiles. My grandfather also has 48 vibraphone, steelpans. I also have 30 merlot grapes (it is a funny story how I have 30 of them: initially I had 85, then I also got another 22 making it a total of 107, then I got another 93 making it a total of 200, but then I lost 170 of them so eventually I am left with 30 of them now). My aunt also has 38 kazoos. I also have 47 tecno mobiles (it is a funny story how I have 47 of them: initially I had 81, then I also got another 64 making it a total of 145, then I got another 52 making it a total of 197, but then I lost 150 of them so eventually I am left with 47 of them now). My father also has 23 clavichords. My sister also has 58 electric drums. I also have 95 djembes (very happy to have them). I also have 95 dulcimers (here is why I have these many: initially I had 14 of them, then I lost 10 of them, but then I got another 94 of them, but then I lost 3 of them, so at the end I am left with 95 of them). My brother also has 4 nadaswarams. My cousin also has 59 bongos. My grandmother has 21 oboes. I also have 60 accordions (here is why I have these many: initially I had 14 of them, then I lost 11 of them, but then I got another 73 of them, but then I lost 16 of them, so at the end I am left with 60 of them). My sister also has 18 huawei pura 70 ultra mobiles. My grandfather also has 90 grenache grapes. My father also has 65 trombones. My brother also has 15 spartan apples. My aunt also has 42 bass guitars. I also have 17 zithers (it is a funny story how I have 17 of them: initially I had 97, then I also got another 77 making it a total of 174, then I got another 79 making it a total of 253, but then I lost 236 of them so eventually I am left with 17 of them now). I also have 75 huawei mate x6 mobiles (here is why I have these many: initially I had 72 of them, then I lost 29 of them, but then I got another 74 of them, but then I lost 42 of them, so at the end I am left with 75 of them). My mother has 83 violins. I also have 89 theremins (here is why I have these many: initially I had 42 of them, then I lost 12 of them, but then I got another 94 of them, but then I lost 35 of them, so at the end I am left with 89 of them). My father also has 20 iphone 5 mobiles. My brother also has 97 huawei pura 70 mobiles. My grandfather also has 83 mandolins. I also have 13 kalimbas (they were given to me as a gift). My friend also has 72 lg mobiles. My grandfather also has 59 honeycrisp apples. My grandfather also has 11 tars. My grandfather also has 64 samsung galaxy z fold5 mobiles. I also have 61 huawei mate 70 mobiles (happt to have them). I also have 63 samsung galaxy s24 mobiles (it is a funny story how I have 63 of them: initially I had 88, then I also got another 100 making it a total of 188, then I got another 23 making it a total of 211, but then I lost 148 of them so eventually I am left with 63 of them now). I also have 1 iphone 13 mobiles (received them last month). I also have 29 pianos (it is a funny story how I have 29 of them: initially I had 75, then I also got another 85 making it a total of 160, then I got another 44 making it a total of 204, but then I lost 175 of them so eventually I am left with 29 of them now). I also have 27 tamburas (it is a funny story how I have 27 of them: initially I had 38, then I also got another 69 making it a total of 107, then I got another 18 making it a total of 125, but then I lost 98 of them so eventually I am left with 27 of them now). I also have 84 blackberry mobiles (it is a funny story how I have 84 of them: initially I had 88, then I also got another 92 making it a total of 180, then I got another 87 making it a total of 267, but then I lost 183 of them so eventually I am left with 84 of them now). I also have 56 sazzes (it is a funny story how I have 56 of them: initially I had 45, then I also got another 76 making it a total of 121, then I got another 24 making it a total of 145, but then I lost 89 of them so eventually I am left with 56 of them now). My grandfather also has 50 samsung galaxy z fold6 mobiles. I also have 53 maracas (here is why I have these many: initially I had 50 of them, then I lost 31 of them, but then I got another 89 of them, but then I lost 55 of them, so at the end I am left with 53 of them). My brother also has 81 sruti boxes. I also have 30 huawei nova 12i mobiles (here is why I have these many: initially I had 98 of them, then I lost 52 of them, but then I got another 92 of them, but then I lost 108 of them, so at the end I am left with 30 of them). My brother also has 77 marimbas. My friend also has 83 pinot noir grapes. My father also has 99 coconuts. I also have 82 motorola mobiles (it is a funny story how I have 82 of them: initially I had 59, then I also got another 29 making it a total of 88, then I got another 39 making it a total of 127, but then I lost 45 of them so eventually I am left with 82 of them now). I also have 50 watermelons (received them last week). My grandfather also has 98 electric guitars. I also have 35 tablas (I do not think I need this much). I also have 12 gala apples (it is a funny story how I have 12 of them: initially I had 54, then I also got another 14 making it a total of 68, then I got another 41 making it a total of 109, but then I lost 97 of them so eventually I am left with 12 of them now). My brother also has 88 starfruits. My sister also has 10 erhus. My cousin also has 74 xiaomi mobiles. My grandmother also has 28 bagpipes. I also have 9 congas (feeling good about this). I also have 30 syrah grapes (feeling good about this). My cousin also has 84 shamisens. I also have 79 samsung galaxy a35 mobiles (happt to have them). My father also has 76 tambourines. I also have 80 iphone 14 mobiles (feeling good about this). I also have 97 jackfruits (it is a funny story how I have 97 of them: initially I had 94, then I also got another 97 making it a total of 191, then I got another 72 making it a total of 263, but then I lost 166 of them so eventually I am left with 97 of them now). My grandmother also has 10 dates. My cousin also has 29 bananas. My grandfather also has 83 lychees. My cousin also has 66 samsung galaxy m55s mobiles. My aunt also has 50 blueberrys. I also have 17 cantaloupes (maybe I just need some of them). My aunt also has 8 pears. My friend also has 18 ukuleles. My friend also has 49 iphone 12 mobiles. My aunt also has 14 iphone 7 mobiles. I also have 97 ginger gold apples (here is why I have these many: initially I had 77 of them, then I lost 34 of them, but then I got another 83 of them, but then I lost 29 of them, so at the end I am left with 97 of them). My uncle also has 59 iphone 4 mobiles. My uncle also has 56 quinces. My mother also has 25 nebbiolo grapes. My aunt also has 82 strawberrys. My grandmother also has 39 vivo mobiles. I also have 77 google (pixel) mobiles (they are great). I also have 11 rababs (received them last week). My mother also has 91 setars. I also have 61 guitars (feeling great about this). I also have 45 plantains (it is a funny story how I have 45 of them: initially I had 18, then I also got another 45 making it a total of 63, then I got another 49 making it a total of 112, but then I lost 67 of them so eventually I am left with 45 of them now). My aunt also has 27 hammered dulcimers. My brother also has 74 lemons. I also have 72 balafons (it is a funny story how I have 72 of them: initially I had 76, then I also got another 46 making it a total of 122, then I got another 57 making it a total of 179, but then I lost 107 of them so eventually I am left with 72 of them now). What is the absolute difference of the total number of fruits and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:014", "request": "I have 53 mazda cx-50 cars (here is why I have these many: initially I had 41 of them, then I lost 26 of them, but then I got another 41 of them, but then I lost 3 of them, so at the end I am left with 53 of them). My grandmother has 34 nokia mobiles. I also have 35 mazda cx-70 cars (here is why I have these many: initially I had 94 of them, then I lost 40 of them, but then I got another 15 of them, but then I lost 34 of them, so at the end I am left with 35 of them). I also have 39 honda accord cars (happt to have them). I also have 54 nissan kicks cars (they are great). My father has 86 huawei mate x6 mobiles. My sister has 56 huawei pura 70 mobiles. My brother has 2 volkswagen golf cars. I also have 37 iphone 6 mobiles (one day, I will have more of them). My brother also has 47 flamingoes. I also have 78 samsung galaxy s24 mobiles (it is a funny story how I have 78 of them: initially I had 83, then I also got another 38 making it a total of 121, then I got another 87 making it a total of 208, but then I lost 130 of them so eventually I am left with 78 of them now). I also have 44 bears (one day, I will have more of them). My mother has 44 iphone 4 mobiles. My cousin has 18 huawei nova 12 pro mobiles. My aunt has 33 mazda cx-30 cars. My cousin also has 11 iphone 5 mobiles. My uncle has 83 parrots. I also have 31 hedgehogs (feeling good about this). My uncle also has 13 opossums. I also have 14 iphone 12 mobiles (it is a funny story how I have 14 of them: initially I had 94, then I also got another 12 making it a total of 106, then I got another 95 making it a total of 201, but then I lost 187 of them so eventually I am left with 14 of them now). I also have 29 iphone 11 mobiles (happt to have them). My grandmother also has 50 hyundai elantra cars. I also have 37 apes (hope to have more in the future). My friend has 59 mazda2 cars. My mother also has 31 huawei pura 70 pro+ mobiles. I also have 56 oppo mobiles (it is a funny story how I have 56 of them: initially I had 39, then I also got another 97 making it a total of 136, then I got another 12 making it a total of 148, but then I lost 92 of them so eventually I am left with 56 of them now). My aunt also has 69 realme mobiles. My friend also has 81 iphone 8 mobiles. My father also has 41 dodge challenger cars. My friend also has 97 subaru ascent cars. My mother also has 21 honor mobiles. My brother also has 56 nissan rogue cars. I also have 61 honda prologuq cars (here is why I have these many: initially I had 46 of them, then I lost 16 of them, but then I got another 79 of them, but then I lost 48 of them, so at the end I am left with 61 of them). I also have 66 huawei nova 12i mobiles (here is why I have these many: initially I had 83 of them, then I lost 11 of them, but then I got another 82 of them, but then I lost 88 of them, so at the end I am left with 66 of them). I also have 86 owls (here is why I have these many: initially I had 67 of them, then I lost 48 of them, but then I got another 73 of them, but then I lost 6 of them, so at the end I am left with 86 of them). I also have 23 fish (here is why I have these many: initially I had 15 of them, then I lost 11 of them, but then I got another 22 of them, but then I lost 3 of them, so at the end I am left with 23 of them). My friend also has 75 samsung galaxy z fold6 mobiles. I also have 6 htc mobiles (I like these a lot). I also have 44 deer (it is a funny story how I have 44 of them: initially I had 44, then I also got another 28 making it a total of 72, then I got another 23 making it a total of 95, but then I lost 51 of them so eventually I am left with 44 of them now). My sister also has 16 seahorses. My uncle also has 36 kangaroos. I also have 62 infinix mobiles (I do not think I need this much). My mother also has 71 pigeons. I also have 38 nissan armada cars (I like these a lot). I also have 91 groundhogs (here is why I have these many: initially I had 49 of them, then I lost 38 of them, but then I got another 97 of them, but then I lost 17 of them, so at the end I am left with 91 of them). My brother also has 75 xiaomi mobiles. My sister also has 91 iphone 15 mobiles. I also have 31 sony mobiles (it is a funny story how I have 31 of them: initially I had 29, then I also got another 80 making it a total of 109, then I got another 65 making it a total of 174, but then I lost 143 of them so eventually I am left with 31 of them now). My aunt also has 8 toyota rav4 cars. I also have 43 huawei pura 70 pro mobiles (planning to have more in the future). My aunt also has 59 samsung galaxy m55s mobiles. I also have 19 iphone 14 mobiles (happt to have them). My grandmother also has 55 mice. My friend also has 6 rats. I also have 84 snails (it is a funny story how I have 84 of them: initially I had 19, then I also got another 17 making it a total of 36, then I got another 49 making it a total of 85, but then I lost 1 of them so eventually I am left with 84 of them now). My grandmother also has 13 samsung galaxy a15 mobiles. My uncle also has 67 dolphins. I also have 33 toyota tacoma cars (here is why I have these many: initially I had 68 of them, then I lost 13 of them, but then I got another 24 of them, but then I lost 46 of them, so at the end I am left with 33 of them). My brother also has 83 lemurs. I also have 64 subaru impreza cars (received them last month). My grandfather has 2 dogs. My uncle also has 39 samsung galaxy tab s10 mobiles. My brother also has 66 hawks. My grandmother also has 87 toyota 4runnertoyota sequoia cars. My mother also has 14 huawei nova 13 mobiles. I also have 69 honda insight cars (here is why I have these many: initially I had 54 of them, then I lost 13 of them, but then I got another 73 of them, but then I lost 45 of them, so at the end I am left with 69 of them). I also have 75 crows (it is a funny story how I have 75 of them: initially I had 73, then I also got another 13 making it a total of 86, then I got another 92 making it a total of 178, but then I lost 103 of them so eventually I am left with 75 of them now). My cousin also has 28 lg mobiles. My sister also has 8 cheetahs. I also have 62 cats (here is why I have these many: initially I had 26 of them, then I lost 12 of them, but then I got another 87 of them, but then I lost 39 of them, so at the end I am left with 62 of them). My grandmother also has 74 jellyfish. My aunt also has 92 toyota avalon cars. I also have 85 kia niro cars (here is why I have these many: initially I had 88 of them, then I lost 57 of them, but then I got another 66 of them, but then I lost 12 of them, so at the end I am left with 85 of them). My aunt also has 87 jeep gladiator cars. I also have 54 iphone x mobiles (it is a funny story how I have 54 of them: initially I had 26, then I also got another 92 making it a total of 118, then I got another 71 making it a total of 189, but then I lost 135 of them so eventually I am left with 54 of them now). My uncle also has 94 mazda3 cars. I also have 70 toyota highlander cars (feeling great about this). My aunt also has 37 nissan sentra cars. My cousin also has 18 stingrays. My mother also has 9 baboons. My father also has 51 giraffes. I also have 11 nissan ariya cars (I really like them). I also have 21 honda cr-z cars (they are great). I also have 24 wasps (it is a funny story how I have 24 of them: initially I had 86, then I also got another 32 making it a total of 118, then I got another 51 making it a total of 169, but then I lost 145 of them so eventually I am left with 24 of them now). My cousin also has 76 subaru outback cars. My uncle also has 41 skunks. My brother also has 86 crocodiles. My aunt also has 99 pigs. I also have 31 samsung galaxy z fold5 mobiles (I really like them). My father also has 12 audi a6 cars. I also have 12 goats (it is a funny story how I have 12 of them: initially I had 22, then I also got another 19 making it a total of 41, then I got another 92 making it a total of 133, but then I lost 121 of them so eventually I am left with 12 of them now). I also have 71 iphone 13 mobiles (I do not think I need this much). I also have 70 honda hr-v cars (received them last month). I also have 6 tigers (it is a funny story how I have 6 of them: initially I had 13, then I also got another 66 making it a total of 79, then I got another 86 making it a total of 165, but then I lost 159 of them so eventually I am left with 6 of them now). My brother also has 15 chickens. My grandmother also has 6 aardvarks. My friend also has 26 emus. I also have 91 impalas (it is a funny story how I have 91 of them: initially I had 36, then I also got another 20 making it a total of 56, then I got another 40 making it a total of 96, but then I lost 5 of them so eventually I am left with 91 of them now). My mother also has 40 guinea pigs. I also have 33 manatees (here is why I have these many: initially I had 40 of them, then I lost 28 of them, but then I got another 33 of them, but then I lost 12 of them, so at the end I am left with 33 of them). I also have 58 antelopes (it is a funny story how I have 58 of them: initially I had 25, then I also got another 52 making it a total of 77, then I got another 57 making it a total of 134, but then I lost 76 of them so eventually I am left with 58 of them now). My brother also has 71 chimpanzees. I also have 4 google (pixel) mobiles (I am in love with them). My grandmother also has 50 cobras. My grandfather also has 77 mamba snakes. I also have 71 samsung galaxy a16 mobiles (here is why I have these many: initially I had 66 of them, then I lost 32 of them, but then I got another 100 of them, but then I lost 63 of them, so at the end I am left with 71 of them). I also have 8 doves (here is why I have these many: initially I had 32 of them, then I lost 25 of them, but then I got another 65 of them, but then I lost 64 of them, so at the end I am left with 8 of them). My mother also has 20 trout. I also have 85 toyota camry cars (feeling good about this). My cousin also has 23 magpies. I also have 23 mazda cx-90 cars (here is why I have these many: initially I had 13 of them, then I lost 12 of them, but then I got another 90 of them, but then I lost 68 of them, so at the end I am left with 23 of them). My grandmother also has 5 tesla model s cars. My mother also has 92 falcons. I also have 47 samsung galaxy a35 mobiles (I am in love with them). My father also has 47 mazda6 cars. My father also has 6 toyota sienna cars. I also have 21 cockroaches (here is why I have these many: initially I had 100 of them, then I lost 40 of them, but then I got another 34 of them, but then I lost 73 of them, so at the end I am left with 21 of them). I also have 1 tecno mobiles (I really like them). I also have 94 cows (here is why I have these many: initially I had 13 of them, then I lost 10 of them, but then I got another 98 of them, but then I lost 7 of them, so at the end I am left with 94 of them). My friend also has 70 llamas. I also have 27 penguins (maybe I just need some of them). What is the absolute difference of the total number of cars and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:016", "request": "My father has 76 huawei nova 13 mobiles. I have 1 huawei pura 70 mobiles (it is a funny story how I have 1 of them: initially I had 32, then I also got another 73 making it a total of 105, then I got another 99 making it a total of 204, but then I lost 203 of them so eventually I am left with 1 of them now). I also have 78 iguanas (happt to have them). My father also has 62 lemurs. My brother has 15 infinix mobiles. I also have 70 ants (they were given to me as a gift). I also have 75 dodge challenger cars (it is a funny story how I have 75 of them: initially I had 87, then I also got another 60 making it a total of 147, then I got another 84 making it a total of 231, but then I lost 156 of them so eventually I am left with 75 of them now). My brother also has 47 snails. My brother also has 21 tortoises. I also have 3 kia niro cars (planning to have more in the future). I also have 75 tesla model s cars (received them last month). My grandfather has 75 toyota tundra cars. My aunt has 73 iphone 6 mobiles. My uncle has 16 lg mobiles. I also have 42 honda civic cars (it is a funny story how I have 42 of them: initially I had 22, then I also got another 100 making it a total of 122, then I got another 69 making it a total of 191, but then I lost 149 of them so eventually I am left with 42 of them now). My father also has 1 eagle. My grandfather also has 29 rats. My friend has 22 iphone 14 mobiles. My sister has 9 walrus. My cousin has 24 oppo mobiles. I also have 3 flamingoes (received them yesterday). My grandmother has 33 storks. My uncle also has 56 mazda cx-90 cars. I also have 90 nissan maxima cars (here is why I have these many: initially I had 35 of them, then I lost 23 of them, but then I got another 81 of them, but then I lost 3 of them, so at the end I am left with 90 of them). My grandfather also has 9 sony mobiles. My grandfather also has 22 doves. I also have 79 nissan murano cars (it is a funny story how I have 79 of them: initially I had 16, then I also got another 74 making it a total of 90, then I got another 44 making it a total of 134, but then I lost 55 of them so eventually I am left with 79 of them now). I also have 8 mazda cx-70 cars (here is why I have these many: initially I had 98 of them, then I lost 90 of them, but then I got another 12 of them, but then I lost 12 of them, so at the end I am left with 8 of them). My uncle also has 99 kingsnakes. My uncle also has 56 buick enclave cars. My mother has 30 iphone 5 mobiles. My grandmother also has 49 subaru ascent cars. I also have 43 huawei nova 11 se mobiles (maybe I just need some of them). I also have 83 honda cr-z cars (hope to have more in the future). I also have 92 samsung galaxy a15 mobiles (here is why I have these many: initially I had 17 of them, then I lost 15 of them, but then I got another 97 of them, but then I lost 7 of them, so at the end I am left with 92 of them). My mother also has 67 toyota tacoma cars. My aunt also has 94 ford edge cars. I also have 81 toyota rav4 cars (here is why I have these many: initially I had 85 of them, then I lost 56 of them, but then I got another 90 of them, but then I lost 38 of them, so at the end I am left with 81 of them). My friend also has 80 prairie dogs. My grandfather also has 1 huawei pura 70 pro mobiles. I also have 73 samsung galaxy f05 mobiles (here is why I have these many: initially I had 60 of them, then I lost 47 of them, but then I got another 84 of them, but then I lost 24 of them, so at the end I am left with 73 of them). My uncle also has 3 tigers. My aunt also has 51 guinea pigs. My cousin also has 3 nissan titan cars. My friend also has 1 hummingbird. My sister also has 11 flys. My grandmother also has 11 skunks. My father also has 70 iphone 12 mobiles. I also have 69 king cobra snakes (feeling good about this). My father also has 52 goldfish. I also have 29 newts (thrilled to have these). I also have 13 shrimps (it is a funny story how I have 13 of them: initially I had 67, then I also got another 39 making it a total of 106, then I got another 22 making it a total of 128, but then I lost 115 of them so eventually I am left with 13 of them now). My cousin also has 19 manatees. I also have 15 buffaloes (hope to have more in the future). My grandfather also has 87 honda passport cars. My mother also has 42 toyota avalon cars. My father also has 56 toyota highlander cars. My sister also has 27 crabs. I also have 13 huawei nova 12 pro mobiles (hope to have more in the future). I also have 34 seals (here is why I have these many: initially I had 98 of them, then I lost 17 of them, but then I got another 36 of them, but then I lost 83 of them, so at the end I am left with 34 of them). My friend also has 37 frogs. My grandfather also has 75 mamba snakes. My friend also has 64 donkeys. My friend also has 36 toyota prius cars. My sister also has 82 beavers. My cousin also has 51 huawei pura 70 pro+ mobiles. My mother also has 22 iphone 4 mobiles. My cousin also has 70 seahorses. I also have 82 subaru outback cars (it is a funny story how I have 82 of them: initially I had 87, then I also got another 87 making it a total of 174, then I got another 61 making it a total of 235, but then I lost 153 of them so eventually I am left with 82 of them now). I also have 95 alpacas (here is why I have these many: initially I had 56 of them, then I lost 24 of them, but then I got another 99 of them, but then I lost 36 of them, so at the end I am left with 95 of them). I also have 74 samsung galaxy z fold6 mobiles (it is a funny story how I have 74 of them: initially I had 54, then I also got another 29 making it a total of 83, then I got another 99 making it a total of 182, but then I lost 108 of them so eventually I am left with 74 of them now). I also have 49 nissan rogue cars (thrilled to have these). My uncle also has 53 llamas. My friend also has 73 anteaters. I also have 51 tecno mobiles (it is a funny story how I have 51 of them: initially I had 31, then I also got another 72 making it a total of 103, then I got another 79 making it a total of 182, but then I lost 131 of them so eventually I am left with 51 of them now). My sister also has 42 boa snakes. My grandfather also has 92 mazda2 cars. My aunt also has 47 yaks. My cousin also has 67 huawei pura 70 ultra mobiles. My grandmother also has 52 ducks. My cousin also has 47 iphone x mobiles. My grandmother also has 65 nissan kicks cars. My father also has 80 toyota c-hr cars. I also have 38 htc mobiles (received them yesterday). My grandmother also has 15 mallards. My sister also has 94 cows. My cousin also has 36 hyundai elantra cars. I also have 55 samsung galaxy tab s10 mobiles (here is why I have these many: initially I had 82 of them, then I lost 11 of them, but then I got another 60 of them, but then I lost 76 of them, so at the end I am left with 55 of them). My father also has 97 honda accord cars. I also have 63 jeep gladiator cars (here is why I have these many: initially I had 42 of them, then I lost 22 of them, but then I got another 74 of them, but then I lost 31 of them, so at the end I am left with 63 of them). My cousin also has 48 samsung galaxy a55 mobiles. My brother also has 84 komodo dragons. I also have 34 opossums (hope to have more in the future). My brother also has 73 echidnas. My sister also has 16 pigs. My cousin also has 36 mazda mx-30 cars. My grandfather also has 29 iphone 7 mobiles. I also have 60 samsung galaxy a35 mobiles (it is a funny story how I have 60 of them: initially I had 72, then I also got another 31 making it a total of 103, then I got another 46 making it a total of 149, but then I lost 89 of them so eventually I am left with 60 of them now). I also have 77 xiaomi mobiles (it is a funny story how I have 77 of them: initially I had 14, then I also got another 76 making it a total of 90, then I got another 59 making it a total of 149, but then I lost 72 of them so eventually I am left with 77 of them now). I also have 50 salmon (feeling great about this). I also have 63 toyota camry cars (received them yesterday). I also have 2 iphone 11 mobiles (here is why I have these many: initially I had 32 of them, then I lost 14 of them, but then I got another 25 of them, but then I lost 41 of them, so at the end I am left with 2 of them). I also have 63 samsung galaxy a16 mobiles (feeling good about this). I also have 70 pigeons (it is a funny story how I have 70 of them: initially I had 58, then I also got another 17 making it a total of 75, then I got another 43 making it a total of 118, but then I lost 48 of them so eventually I am left with 70 of them now). My grandmother also has 48 raccoons. I also have 14 squirrels (here is why I have these many: initially I had 16 of them, then I lost 12 of them, but then I got another 63 of them, but then I lost 53 of them, so at the end I am left with 14 of them). My grandmother also has 18 black rat snakes. My uncle also has 27 mazda cx-30 cars. I also have 62 bears (here is why I have these many: initially I had 64 of them, then I lost 33 of them, but then I got another 81 of them, but then I lost 50 of them, so at the end I am left with 62 of them). My cousin also has 88 mazda cx-80 cars. My brother also has 78 vivo mobiles. I also have 83 corgis (it is a funny story how I have 83 of them: initially I had 84, then I also got another 42 making it a total of 126, then I got another 12 making it a total of 138, but then I lost 55 of them so eventually I am left with 83 of them now). I also have 53 honda cr-v cars (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 66 of them, but then I lost 14 of them, so at the end I am left with 53 of them). My brother also has 67 shrews. My brother also has 57 rabbits. I also have 44 volkswagen golf cars (here is why I have these many: initially I had 76 of them, then I lost 51 of them, but then I got another 82 of them, but then I lost 63 of them, so at the end I am left with 44 of them). I also have 94 ponys (happt to have them). My friend also has 27 samsung galaxy s24 mobiles. My grandmother also has 44 leopards. My uncle also has 79 owls. My brother also has 68 aardvarks. I also have 80 honda prologuq cars (here is why I have these many: initially I had 45 of them, then I lost 21 of them, but then I got another 92 of them, but then I lost 36 of them, so at the end I am left with 80 of them). My uncle also has 28 crows. I also have 67 baboons (here is why I have these many: initially I had 70 of them, then I lost 14 of them, but then I got another 77 of them, but then I lost 66 of them, so at the end I am left with 67 of them). I also have 42 mazda3 cars (here is why I have these many: initially I had 92 of them, then I lost 35 of them, but then I got another 41 of them, but then I lost 56 of them, so at the end I am left with 42 of them). I also have 24 huawei nova 12i mobiles (feeling good about this). I also have 53 honda element cars (it is a funny story how I have 53 of them: initially I had 89, then I also got another 55 making it a total of 144, then I got another 85 making it a total of 229, but then I lost 176 of them so eventually I am left with 53 of them now). My mother also has 55 chimpanzees. My grandfather also has 50 jellyfish. What is the absolute difference of the total number of mobiles and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:018", "request": "My cousin has 13 falcons. My friend has 27 huawei nova 11 se mobiles. My brother has 73 hyundai santa fe cars. My mother has 91 iphone 6 mobiles. My sister has 35 honor mobiles. My aunt has 91 hippopotamus. I have 63 infinix mobiles (thrilled to have these). I also have 10 iphone 7 mobiles (here is why I have these many: initially I had 55 of them, then I lost 41 of them, but then I got another 21 of them, but then I lost 25 of them, so at the end I am left with 10 of them). My aunt also has 62 tesla model s cars. I also have 73 honda passport cars (thrilled to have these). My grandmother has 59 cockroaches. My father has 27 ferrets. My uncle has 25 nissan leaf cars. My uncle also has 98 iphone 8 mobiles. My aunt also has 9 chimpanzees. I also have 90 seals (received them last month). My brother also has 26 sony mobiles. I also have 21 guinea pigs (happt to have them). My grandfather has 87 iphone 14 mobiles. My grandfather also has 59 chickens. My uncle also has 11 honda odyssey cars. My sister also has 22 fish. My brother also has 75 samsung galaxy z fold5 mobiles. My sister also has 70 samsung galaxy s24 mobiles. My sister also has 5 tecno mobiles. I also have 45 honda cr-z cars (I really like them). My friend also has 38 parrots. My mother also has 36 toyota 4runnertoyota sequoia cars. My sister also has 2 mazda cx-90 cars. My brother also has 57 iphone x mobiles. My sister also has 81 crows. I also have 47 manatees (I like these a lot). I also have 77 vultures (it is a funny story how I have 77 of them: initially I had 42, then I also got another 34 making it a total of 76, then I got another 10 making it a total of 86, but then I lost 9 of them so eventually I am left with 77 of them now). My aunt also has 14 peacocks. My uncle also has 8 rattlesnakes. I also have 16 kia niro cars (thrilled to have these). I also have 32 nissan pathfinder cars (here is why I have these many: initially I had 12 of them, then I lost 11 of them, but then I got another 49 of them, but then I lost 18 of them, so at the end I am left with 32 of them). I also have 15 toyota avalon cars (received them last month). My brother also has 54 raccoons. My cousin also has 72 oneplus mobiles. I also have 81 nissan titan cars (here is why I have these many: initially I had 23 of them, then I lost 17 of them, but then I got another 81 of them, but then I lost 6 of them, so at the end I am left with 81 of them). My grandmother also has 87 samsung galaxy a16 mobiles. My friend also has 65 alpacas. My grandmother also has 57 jeep gladiator cars. My sister also has 87 mosquitoes. My mother also has 3 mallards. My father also has 38 elephants. My friend also has 44 lions. My aunt also has 31 toyota corolla cars. My aunt also has 3 mazda cx-80 cars. My brother also has 78 kingsnakes. My uncle also has 18 iphone 5 mobiles. I also have 45 subaru ascent cars (here is why I have these many: initially I had 51 of them, then I lost 29 of them, but then I got another 32 of them, but then I lost 9 of them, so at the end I am left with 45 of them). I also have 65 toyota c-hr cars (it is a funny story how I have 65 of them: initially I had 21, then I also got another 79 making it a total of 100, then I got another 84 making it a total of 184, but then I lost 119 of them so eventually I am left with 65 of them now). My uncle also has 61 honda prologuq cars. I also have 20 mazda cx-50 cars (received them last week). My sister also has 56 donkeys. My brother also has 86 mazda cx-5 cars. I also have 3 frogs (it is a funny story how I have 3 of them: initially I had 98, then I also got another 70 making it a total of 168, then I got another 16 making it a total of 184, but then I lost 181 of them so eventually I am left with 3 of them now). My uncle also has 96 mazda mx-30 cars. I also have 57 huawei nova 13 mobiles (here is why I have these many: initially I had 68 of them, then I lost 52 of them, but then I got another 58 of them, but then I lost 17 of them, so at the end I am left with 57 of them). I also have 14 huawei nova 12i mobiles (hope to have more in the future). I also have 13 roosters (I really like them). My uncle also has 76 nissan maxima cars. My mother also has 86 sharks. My sister also has 17 audi a6 cars. I also have 78 possums (here is why I have these many: initially I had 77 of them, then I lost 69 of them, but then I got another 82 of them, but then I lost 12 of them, so at the end I am left with 78 of them). My uncle also has 73 iphone 11 mobiles. My grandfather also has 95 walrus. I also have 15 honda hr-v cars (planning to have more in the future). I also have 62 kangaroos (I am in love with them). My brother also has 14 huawei pura 70 pro+ mobiles. My uncle also has 82 mazda2 cars. I also have 53 leopards (received them yesterday). I also have 46 dolphins (it is a funny story how I have 46 of them: initially I had 50, then I also got another 18 making it a total of 68, then I got another 63 making it a total of 131, but then I lost 85 of them so eventually I am left with 46 of them now). My grandfather also has 70 nissan ariya cars. My brother also has 17 buick enclave cars. I also have 85 samsung galaxy m55s mobiles (one day, I will have more of them). My grandmother also has 68 chinchillas. My brother also has 27 iphone 15 mobiles. My mother also has 92 samsung galaxy a55 mobiles. What is the absolute difference of the total number of animals/insects and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:020", "request": "My sister has 35 sazzes. My grandmother has 59 canarys. My father has 43 drums. My uncle has 44 clarinets. My sister also has 5 nissan sentra cars. My mother has 26 mazda cx-70 cars. I have 79 nissan frintier cars (here is why I have these many: initially I had 12 of them, then I lost 11 of them, but then I got another 99 of them, but then I lost 21 of them, so at the end I am left with 79 of them). My grandfather has 21 black rat snakes. I also have 73 kangaroos (very happy to have them). My grandmother also has 34 xylophones. I also have 24 oboes (here is why I have these many: initially I had 36 of them, then I lost 15 of them, but then I got another 70 of them, but then I lost 67 of them, so at the end I am left with 24 of them). I also have 35 french horns (feeling good about this). My grandfather also has 68 bouzoukis. I also have 99 nissan pathfinder cars (here is why I have these many: initially I had 14 of them, then I lost 10 of them, but then I got another 100 of them, but then I lost 5 of them, so at the end I am left with 99 of them). I also have 60 nissan altima cars (here is why I have these many: initially I had 95 of them, then I lost 32 of them, but then I got another 31 of them, but then I lost 34 of them, so at the end I am left with 60 of them). I also have 29 pianos (it is a funny story how I have 29 of them: initially I had 99, then I also got another 68 making it a total of 167, then I got another 70 making it a total of 237, but then I lost 208 of them so eventually I am left with 29 of them now). I also have 98 audi a6 cars (here is why I have these many: initially I had 65 of them, then I lost 33 of them, but then I got another 93 of them, but then I lost 27 of them, so at the end I am left with 98 of them). My cousin has 75 rababs. My aunt has 59 honda pilot cars. I also have 12 toyota sienna cars (it is a funny story how I have 12 of them: initially I had 50, then I also got another 20 making it a total of 70, then I got another 22 making it a total of 92, but then I lost 80 of them so eventually I am left with 12 of them now). I also have 33 hummingbirds (here is why I have these many: initially I had 15 of them, then I lost 13 of them, but then I got another 38 of them, but then I lost 7 of them, so at the end I am left with 33 of them). I also have 18 tambourines (I really like them). I also have 69 hyundai santa fe cars (I really like them). My grandmother also has 38 shehnais. I also have 18 electric drums (it is a funny story how I have 18 of them: initially I had 14, then I also got another 17 making it a total of 31, then I got another 23 making it a total of 54, but then I lost 36 of them so eventually I am left with 18 of them now). My brother has 6 biwas. I also have 96 flamingoes (it is a funny story how I have 96 of them: initially I had 57, then I also got another 98 making it a total of 155, then I got another 59 making it a total of 214, but then I lost 118 of them so eventually I am left with 96 of them now). I also have 47 hammered dulcimers (I do not think I need this much). My father also has 88 narwhals. I also have 81 lutes (I do not think I need this much). My uncle also has 73 tigers. I also have 77 jellyfish (it is a funny story how I have 77 of them: initially I had 39, then I also got another 68 making it a total of 107, then I got another 64 making it a total of 171, but then I lost 94 of them so eventually I am left with 77 of them now). I also have 78 gorillas (it is a funny story how I have 78 of them: initially I had 10, then I also got another 49 making it a total of 59, then I got another 34 making it a total of 93, but then I lost 15 of them so eventually I am left with 78 of them now). My uncle also has 44 tesla model s cars. My mother also has 29 electric pianos. I also have 40 opossums (it is a funny story how I have 40 of them: initially I had 38, then I also got another 56 making it a total of 94, then I got another 63 making it a total of 157, but then I lost 117 of them so eventually I am left with 40 of them now). I also have 49 sitars (it is a funny story how I have 49 of them: initially I had 45, then I also got another 76 making it a total of 121, then I got another 63 making it a total of 184, but then I lost 135 of them so eventually I am left with 49 of them now). My father also has 56 honda element cars. I also have 72 koras (one day, I will have more of them). I also have 78 chickens (it is a funny story how I have 78 of them: initially I had 38, then I also got another 87 making it a total of 125, then I got another 88 making it a total of 213, but then I lost 135 of them so eventually I am left with 78 of them now). I also have 24 bees (here is why I have these many: initially I had 60 of them, then I lost 56 of them, but then I got another 21 of them, but then I lost 1 of them, so at the end I am left with 24 of them). My father also has 84 pipas. My friend has 68 mazda3 cars. I also have 93 lizards (thrilled to have these). I also have 29 hens (here is why I have these many: initially I had 52 of them, then I lost 45 of them, but then I got another 84 of them, but then I lost 62 of them, so at the end I am left with 29 of them). I also have 42 nissan kicks cars (it is a funny story how I have 42 of them: initially I had 35, then I also got another 79 making it a total of 114, then I got another 36 making it a total of 150, but then I lost 108 of them so eventually I am left with 42 of them now). I also have 32 eagles (it is a funny story how I have 32 of them: initially I had 38, then I also got another 33 making it a total of 71, then I got another 68 making it a total of 139, but then I lost 107 of them so eventually I am left with 32 of them now). I also have 81 sruti boxes (I do not think I need this much). My sister also has 96 ouds. I also have 31 toyota 4runnertoyota sequoia cars (here is why I have these many: initially I had 98 of them, then I lost 72 of them, but then I got another 45 of them, but then I lost 40 of them, so at the end I am left with 31 of them). My grandmother also has 61 recorders. I also have 23 jeep gladiator cars (one day, I will have more of them). My cousin also has 98 lemurs. My grandfather also has 36 tablas. My mother also has 34 electric guitars. My grandmother also has 75 honda cr-v cars. My aunt also has 96 subaru outback cars. My brother also has 80 volkswagen golf cars. My cousin also has 15 mazda cx-90 cars. My mother also has 2 foxes. My brother also has 69 mridangams. My friend also has 90 ladybugs. I also have 66 komodo dragons (they were given to me as a gift). I also have 99 ocarinas (it is a funny story how I have 99 of them: initially I had 63, then I also got another 63 making it a total of 126, then I got another 10 making it a total of 136, but then I lost 37 of them so eventually I am left with 99 of them now). I also have 68 kotoes (here is why I have these many: initially I had 25 of them, then I lost 19 of them, but then I got another 77 of them, but then I lost 15 of them, so at the end I am left with 68 of them). I also have 30 bagpipes (hope to have more in the future). My grandfather also has 13 honda prologuq cars. My uncle also has 17 honda passport cars. My friend also has 39 accordions. I also have 16 elephants (it is a funny story how I have 16 of them: initially I had 78, then I also got another 71 making it a total of 149, then I got another 48 making it a total of 197, but then I lost 181 of them so eventually I am left with 16 of them now). I also have 72 electric cellos (here is why I have these many: initially I had 84 of them, then I lost 16 of them, but then I got another 59 of them, but then I lost 55 of them, so at the end I am left with 72 of them). I also have 9 toyota highlander cars (I do not think I need this much). My sister also has 52 cobras. My father also has 61 pigs. I also have 73 theremins (it is a funny story how I have 73 of them: initially I had 49, then I also got another 15 making it a total of 64, then I got another 67 making it a total of 131, but then I lost 58 of them so eventually I am left with 73 of them now). I also have 81 nissan murano cars (maybe I just need some of them). My father also has 20 toyota prius cars. My aunt also has 25 goldfish. I also have 76 mazda2 cars (it is a funny story how I have 76 of them: initially I had 64, then I also got another 50 making it a total of 114, then I got another 17 making it a total of 131, but then I lost 55 of them so eventually I am left with 76 of them now). I also have 99 electric violins (it is a funny story how I have 99 of them: initially I had 11, then I also got another 100 making it a total of 111, then I got another 88 making it a total of 199, but then I lost 100 of them so eventually I am left with 99 of them now). My uncle also has 79 boa snakes. I also have 60 harpsichords (here is why I have these many: initially I had 24 of them, then I lost 13 of them, but then I got another 77 of them, but then I lost 28 of them, so at the end I am left with 60 of them). My sister also has 58 toyota c-hr cars. I also have 9 double bass (it is a funny story how I have 9 of them: initially I had 45, then I also got another 73 making it a total of 118, then I got another 72 making it a total of 190, but then I lost 181 of them so eventually I am left with 9 of them now). My aunt also has 46 cockroaches. My aunt also has 85 mamba snakes. I also have 83 penguins (here is why I have these many: initially I had 46 of them, then I lost 31 of them, but then I got another 82 of them, but then I lost 14 of them, so at the end I am left with 83 of them). My father also has 49 mandolins. My brother also has 90 manatees. I also have 6 nissan ariya cars (it is a funny story how I have 6 of them: initially I had 20, then I also got another 46 making it a total of 66, then I got another 87 making it a total of 153, but then I lost 147 of them so eventually I am left with 6 of them now). My brother also has 2 ford edge cars. My mother also has 13 n'gonis. My grandfather also has 6 geese. I also have 49 mazda mx-30 cars (I do not think I need this much). My cousin also has 8 mazda cx-80 cars. My sister also has 66 koalas. I also have 80 didgeridoos (it is a funny story how I have 80 of them: initially I had 90, then I also got another 90 making it a total of 180, then I got another 83 making it a total of 263, but then I lost 183 of them so eventually I am left with 80 of them now). My sister also has 39 magpies. I also have 43 mice (hope to have more in the future). I also have 72 mazda cx-50 cars (here is why I have these many: initially I had 54 of them, then I lost 21 of them, but then I got another 89 of them, but then I lost 50 of them, so at the end I am left with 72 of them). My grandfather also has 41 nissan titan cars. My grandfather also has 96 reindeer. My grandmother also has 48 harmonicas. I also have 88 pigeons (here is why I have these many: initially I had 84 of them, then I lost 49 of them, but then I got another 95 of them, but then I lost 42 of them, so at the end I am left with 88 of them). What is the sum of the total number of musical instruments and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:022", "request": "I have 99 tars (I do not think I need this much). I also have 50 htc mobiles (here is why I have these many: initially I had 70 of them, then I lost 24 of them, but then I got another 92 of them, but then I lost 88 of them, so at the end I am left with 50 of them). My uncle has 72 honda cr-v cars. I also have 87 synthesizer keyboards (here is why I have these many: initially I had 38 of them, then I lost 13 of them, but then I got another 72 of them, but then I lost 10 of them, so at the end I am left with 87 of them). My mother has 65 bagpipes. My grandmother has 64 dulcimers. I also have 3 rababs (received them last month). I also have 15 nissan kicks cars (feeling good about this). My grandfather has 10 lg mobiles. I also have 26 drums (I really like them). I also have 27 oppo mobiles (it is a funny story how I have 27 of them: initially I had 89, then I also got another 68 making it a total of 157, then I got another 63 making it a total of 220, but then I lost 193 of them so eventually I am left with 27 of them now). My sister has 57 samsung galaxy m55s mobiles. I also have 36 toyota tacoma cars (here is why I have these many: initially I had 84 of them, then I lost 53 of them, but then I got another 73 of them, but then I lost 68 of them, so at the end I am left with 36 of them). My friend has 38 hyundai elantra cars. I also have 58 nissan titan cars (it is a funny story how I have 58 of them: initially I had 68, then I also got another 72 making it a total of 140, then I got another 14 making it a total of 154, but then I lost 96 of them so eventually I am left with 58 of them now). My mother also has 86 nissan frintier cars. My cousin has 10 honor mobiles. I also have 72 samsung galaxy tab s10 mobiles (they were given to me as a gift). I also have 11 mazda cx-90 cars (received them last week). I also have 37 tambourines (I like these a lot). My brother has 89 iphone 7 mobiles. My grandfather also has 70 honda prologuq cars. I also have 27 autoharps (I am in love with them). I also have 89 hyundai santa fe cars (planning to have more in the future). My father has 67 organs. My grandmother also has 82 nissan ariya cars. My friend also has 29 lutes. My mother also has 81 iphone x mobiles. My mother also has 27 flutes. My aunt has 11 iphone 16 mobiles. I also have 96 sruti boxes (I like these a lot). I also have 49 honda accord cars (very happy to have them). My mother also has 23 kotoes. I also have 13 mazda cx-30 cars (feeling good about this). My grandmother also has 83 huawei mate x6 mobiles. I also have 66 buick enclave cars (planning to have more in the future). I also have 32 tecno mobiles (it is a funny story how I have 32 of them: initially I had 26, then I also got another 86 making it a total of 112, then I got another 85 making it a total of 197, but then I lost 165 of them so eventually I am left with 32 of them now). I also have 88 bassoons (here is why I have these many: initially I had 89 of them, then I lost 40 of them, but then I got another 77 of them, but then I lost 38 of them, so at the end I am left with 88 of them). I also have 72 samsung galaxy a15 mobiles (it is a funny story how I have 72 of them: initially I had 16, then I also got another 59 making it a total of 75, then I got another 72 making it a total of 147, but then I lost 75 of them so eventually I am left with 72 of them now). My uncle also has 88 tamburas. My uncle also has 72 harps. I also have 14 xylophones (it is a funny story how I have 14 of them: initially I had 82, then I also got another 55 making it a total of 137, then I got another 81 making it a total of 218, but then I lost 204 of them so eventually I am left with 14 of them now). My cousin also has 56 koras. My sister also has 26 iphone 8 mobiles. I also have 79 shamisens (I really like them). I also have 16 samsung galaxy z fold6 mobiles (happt to have them). My sister also has 90 nissan pathfinder cars. I also have 92 iphone 15 mobiles (it is a funny story how I have 92 of them: initially I had 85, then I also got another 47 making it a total of 132, then I got another 92 making it a total of 224, but then I lost 132 of them so eventually I am left with 92 of them now). I also have 80 mazda2 cars (it is a funny story how I have 80 of them: initially I had 12, then I also got another 27 making it a total of 39, then I got another 52 making it a total of 91, but then I lost 11 of them so eventually I am left with 80 of them now). My sister also has 16 honda insight cars. My grandfather also has 93 google (pixel) mobiles. I also have 25 nissan altima cars (very happy to have them). My friend also has 30 ukuleles. My brother also has 40 toyota rav4 cars. My grandmother also has 29 vibraphone, steelpans. I also have 21 iphone 6 mobiles (here is why I have these many: initially I had 34 of them, then I lost 15 of them, but then I got another 62 of them, but then I lost 60 of them, so at the end I am left with 21 of them). I also have 79 bass guitars (feeling good about this). My aunt also has 91 samsung galaxy s24 mobiles. I also have 84 maracas (happt to have them). I also have 65 samsung galaxy f05 mobiles (feeling good about this). My brother also has 94 oboes. My mother also has 77 samsung galaxy a55 mobiles. My brother also has 63 toyota avalon cars. I also have 89 mazda6 cars (it is a funny story how I have 89 of them: initially I had 48, then I also got another 78 making it a total of 126, then I got another 25 making it a total of 151, but then I lost 62 of them so eventually I am left with 89 of them now). My mother also has 94 huawei nova 11 se mobiles. My friend also has 18 cellos. I also have 95 pipas (it is a funny story how I have 95 of them: initially I had 93, then I also got another 75 making it a total of 168, then I got another 73 making it a total of 241, but then I lost 146 of them so eventually I am left with 95 of them now). My father also has 86 xiaomi mobiles. My grandmother also has 59 iphone 13 mobiles. I also have 94 huawei pura 70 pro mobiles (here is why I have these many: initially I had 68 of them, then I lost 11 of them, but then I got another 75 of them, but then I lost 38 of them, so at the end I am left with 94 of them). I also have 87 nissan leaf cars (it is a funny story how I have 87 of them: initially I had 84, then I also got another 86 making it a total of 170, then I got another 82 making it a total of 252, but then I lost 165 of them so eventually I am left with 87 of them now). I also have 22 toyota 4runnertoyota sequoia cars (I am in love with them). My grandfather also has 84 double bass. I also have 21 toyota sienna cars (they are great). My sister also has 12 marimbas. My brother also has 59 guitars. I also have 15 vivo mobiles (planning to have more in the future). My brother also has 22 honda passport cars. My grandfather also has 6 dodge challenger cars. I also have 79 subaru impreza cars (they are great). I also have 73 subaru ascent cars (received them yesterday). My grandfather also has 57 kalimbas. My father also has 38 jeep gladiator cars. I also have 15 ocarinas (it is a funny story how I have 15 of them: initially I had 90, then I also got another 14 making it a total of 104, then I got another 23 making it a total of 127, but then I lost 112 of them so eventually I am left with 15 of them now). I also have 8 tesla model s cars (hope to have more in the future). I also have 25 infinix mobiles (here is why I have these many: initially I had 32 of them, then I lost 12 of them, but then I got another 100 of them, but then I lost 95 of them, so at the end I am left with 25 of them). What is the absolute difference of the total number of musical instruments and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:024", "request": "My cousin has 76 huawei pura 70 ultra mobiles. My father has 3 electric bass. My aunt has 7 pineapples. I have 61 guavas (it is a funny story how I have 61 of them: initially I had 96, then I also got another 100 making it a total of 196, then I got another 33 making it a total of 229, but then I lost 168 of them so eventually I am left with 61 of them now). My father also has 22 tecno mobiles. My mother has 91 clementinefigs. My cousin also has 97 pink lady apples. My cousin also has 24 mangoes. I also have 85 nokia mobiles (thrilled to have these). I also have 93 glockenspiels (it is a funny story how I have 93 of them: initially I had 95, then I also got another 27 making it a total of 122, then I got another 31 making it a total of 153, but then I lost 60 of them so eventually I am left with 93 of them now). I also have 10 cellos (here is why I have these many: initially I had 68 of them, then I lost 55 of them, but then I got another 96 of them, but then I lost 99 of them, so at the end I am left with 10 of them). I also have 13 iphone 6 mobiles (I am in love with them). My friend has 36 lychees. My father also has 44 samsung galaxy a35 mobiles. I also have 48 chardonnay grapes (thrilled to have these). My friend also has 22 pianos. My cousin also has 75 pears. My cousin also has 66 oneplus mobiles. I also have 29 clavichords (I do not think I need this much). I also have 34 synthesizer keyboards (received them yesterday). I also have 11 iphone 12 mobiles (it is a funny story how I have 11 of them: initially I had 88, then I also got another 52 making it a total of 140, then I got another 96 making it a total of 236, but then I lost 225 of them so eventually I am left with 11 of them now). My grandmother has 4 hammered dulcimers. My mother also has 88 elderberryoranges. My brother has 8 samsung galaxy m55s mobiles. My friend also has 30 n'gonis. My father also has 21 jackfruits. My brother also has 87 koras. I also have 45 nebbiolo grapes (it is a funny story how I have 45 of them: initially I had 64, then I also got another 38 making it a total of 102, then I got another 30 making it a total of 132, but then I lost 87 of them so eventually I am left with 45 of them now). My friend also has 40 sazzes. I also have 7 kiwis (I am in love with them). My mother also has 3 huawei nova 12i mobiles. My aunt also has 78 ambrosia apples. My sister has 17 samsung galaxy s24 mobiles. My aunt also has 87 grenache grapes. My aunt also has 28 cherrys. My grandmother also has 50 syrah grapes. My friend also has 26 shehnais. I also have 23 biwas (feeling good about this). My sister also has 21 quinces. My cousin also has 98 iphone 14 mobiles. My cousin also has 62 huawei mate 70 mobiles. My sister also has 61 huawei pura 70 mobiles. My brother also has 97 nadaswarams. I also have 64 bananas (here is why I have these many: initially I had 23 of them, then I lost 10 of them, but then I got another 100 of them, but then I lost 49 of them, so at the end I am left with 64 of them). I also have 69 tanpuras (it is a funny story how I have 69 of them: initially I had 99, then I also got another 81 making it a total of 180, then I got another 97 making it a total of 277, but then I lost 208 of them so eventually I am left with 69 of them now). My uncle has 62 honor mobiles. My uncle also has 64 persimmons. My grandmother also has 23 ouds. I also have 40 iphone 5 mobiles (here is why I have these many: initially I had 36 of them, then I lost 14 of them, but then I got another 22 of them, but then I lost 4 of them, so at the end I am left with 40 of them). My brother also has 29 iphone 13 mobiles. My cousin also has 14 dates. My mother also has 92 kalimbas. I also have 59 cotton candy grapes (it is a funny story how I have 59 of them: initially I had 10, then I also got another 37 making it a total of 47, then I got another 34 making it a total of 81, but then I lost 22 of them so eventually I am left with 59 of them now). My grandmother also has 5 rebecs. My father also has 22 watermelons. My brother also has 95 iphone 15 mobiles. I also have 65 soursops (they were given to me as a gift). I also have 87 dragonfruits (here is why I have these many: initially I had 59 of them, then I lost 12 of them, but then I got another 59 of them, but then I lost 19 of them, so at the end I am left with 87 of them). My mother also has 13 huawei nova 12s mobiles. My uncle also has 85 strawberrys. My sister also has 79 nectarines. I also have 45 violins (it is a funny story how I have 45 of them: initially I had 63, then I also got another 36 making it a total of 99, then I got another 86 making it a total of 185, but then I lost 140 of them so eventually I am left with 45 of them now). I also have 24 bagpipes (hope to have more in the future). I also have 32 peaches (planning to have more in the future). I also have 42 electric guitars (it is a funny story how I have 42 of them: initially I had 12, then I also got another 69 making it a total of 81, then I got another 74 making it a total of 155, but then I lost 113 of them so eventually I am left with 42 of them now). I also have 72 realme mobiles (I like these a lot). My uncle also has 35 rababs. My brother also has 80 meizu mobiles. My father also has 1 fuji apple. I also have 7 electric pianos (one day, I will have more of them). My brother also has 11 starfruits. I also have 92 tars (thrilled to have these). My grandmother also has 11 lg mobiles. I also have 5 cantaloupes (one day, I will have more of them). My aunt also has 40 huawei nova 13 mobiles. I also have 22 iphone x mobiles (it is a funny story how I have 22 of them: initially I had 47, then I also got another 83 making it a total of 130, then I got another 81 making it a total of 211, but then I lost 189 of them so eventually I am left with 22 of them now). My uncle also has 4 mulberrys. My grandfather has 50 mandolins. I also have 96 durians (it is a funny story how I have 96 of them: initially I had 47, then I also got another 16 making it a total of 63, then I got another 99 making it a total of 162, but then I lost 66 of them so eventually I am left with 96 of them now). My grandfather also has 59 vivo mobiles. I also have 36 tablas (I am in love with them). My grandmother also has 92 grapefruits. My father also has 96 cranberrys. I also have 71 harpsichords (here is why I have these many: initially I had 58 of them, then I lost 11 of them, but then I got another 97 of them, but then I lost 73 of them, so at the end I am left with 71 of them). I also have 97 pomegranates (it is a funny story how I have 97 of them: initially I had 67, then I also got another 68 making it a total of 135, then I got another 33 making it a total of 168, but then I lost 71 of them so eventually I am left with 97 of them now). My friend also has 29 jazz apples. My friend also has 44 infinix mobiles. My brother also has 73 raspberrys. My sister also has 74 sony mobiles. My friend also has 85 xiaomi mobiles. My grandmother also has 36 oboes. My father also has 66 mridangams. My brother also has 36 google (pixel) mobiles. I also have 27 zithers (it is a funny story how I have 27 of them: initially I had 84, then I also got another 44 making it a total of 128, then I got another 36 making it a total of 164, but then I lost 137 of them so eventually I am left with 27 of them now). My grandmother also has 41 harps. My father also has 26 samsung galaxy tab s10 mobiles. My uncle also has 98 drums. My uncle also has 56 huawei mate x6 mobiles. My aunt also has 53 iphone 7 mobiles. My father also has 45 guitars. My sister also has 48 maracas. What is the absolute difference of the total number of musical instruments and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:025", "request": "I have 22 toyota camry cars (feeling great about this). I also have 84 mazda cx-70 cars (it is a funny story how I have 84 of them: initially I had 23, then I also got another 88 making it a total of 111, then I got another 100 making it a total of 211, but then I lost 127 of them so eventually I am left with 84 of them now). My father has 62 honda civic cars. My brother has 81 honda accord cars. I also have 13 kia niro cars (hope to have more in the future). I also have 81 congas (feeling good about this). My grandfather has 71 hamsters. My brother also has 47 electric drums. My mother has 60 echidnas. I also have 79 bansuris (I like these a lot). My friend has 13 nissan frintier cars. My grandfather also has 62 electric bass. My grandfather also has 30 panpipes. My friend also has 93 bouzoukis. My father also has 20 rhinoceros. My uncle has 23 subaru outback cars. I also have 49 mazda cx-3 cars (planning to have more in the future). I also have 25 timpanis (very happy to have them). My friend also has 8 possums. I also have 23 toyota corolla cars (hope to have more in the future). My aunt has 78 nissan murano cars. I also have 96 tars (one day, I will have more of them). I also have 52 hummingbirds (it is a funny story how I have 52 of them: initially I had 48, then I also got another 55 making it a total of 103, then I got another 34 making it a total of 137, but then I lost 85 of them so eventually I am left with 52 of them now). My father also has 25 trombones. I also have 99 honda passport cars (maybe I just need some of them). My grandmother has 16 mbiras. My aunt also has 13 sitars. My uncle also has 21 sloths. My brother also has 71 horses. My grandmother also has 72 mazda6 cars. I also have 90 rabbits (I am in love with them). I also have 20 kalimbas (one day, I will have more of them). I also have 65 hyundai elantra cars (here is why I have these many: initially I had 97 of them, then I lost 92 of them, but then I got another 77 of them, but then I lost 17 of them, so at the end I am left with 65 of them). I also have 86 tanpuras (it is a funny story how I have 86 of them: initially I had 11, then I also got another 16 making it a total of 27, then I got another 88 making it a total of 115, but then I lost 29 of them so eventually I am left with 86 of them now). My sister has 33 cranes. My grandmother also has 84 mazda2 cars. My mother also has 78 yaks. I also have 62 viper snakes (here is why I have these many: initially I had 25 of them, then I lost 16 of them, but then I got another 93 of them, but then I lost 40 of them, so at the end I am left with 62 of them). My cousin has 48 dodge challenger cars. My cousin also has 18 ukuleles. My sister also has 22 nissan ariya cars. My grandfather also has 34 canarys. My mother also has 70 ponys. My friend also has 33 nissan altima cars. My grandmother also has 26 mazda cx-80 cars. I also have 83 toyota rav4 cars (here is why I have these many: initially I had 43 of them, then I lost 29 of them, but then I got another 94 of them, but then I lost 25 of them, so at the end I am left with 83 of them). I also have 5 kotoes (here is why I have these many: initially I had 71 of them, then I lost 15 of them, but then I got another 17 of them, but then I lost 68 of them, so at the end I am left with 5 of them). My father also has 36 cats. I also have 93 ladybugs (very happy to have them). I also have 48 harmonicas (it is a funny story how I have 48 of them: initially I had 36, then I also got another 88 making it a total of 124, then I got another 97 making it a total of 221, but then I lost 173 of them so eventually I am left with 48 of them now). My brother also has 54 clarinets. My grandfather also has 44 anteaters. My aunt also has 59 double bass. My cousin also has 51 glockenspiels. I also have 68 sazzes (it is a funny story how I have 68 of them: initially I had 89, then I also got another 22 making it a total of 111, then I got another 74 making it a total of 185, but then I lost 117 of them so eventually I am left with 68 of them now). My cousin also has 62 vibraphone, steelpans. My uncle also has 99 pianos. My cousin also has 93 pipas. I also have 25 garter snakes (I like these a lot). My mother also has 36 biwas. My friend also has 22 mules. I also have 84 jellyfish (here is why I have these many: initially I had 14 of them, then I lost 10 of them, but then I got another 83 of them, but then I lost 3 of them, so at the end I am left with 84 of them). My grandmother also has 16 toyota highlander cars. I also have 19 toyota 4runnertoyota sequoia cars (I am in love with them). I also have 86 hyundai santa fe cars (here is why I have these many: initially I had 26 of them, then I lost 12 of them, but then I got another 91 of them, but then I lost 19 of them, so at the end I am left with 86 of them). I also have 69 toyota c-hr cars (here is why I have these many: initially I had 62 of them, then I lost 34 of them, but then I got another 79 of them, but then I lost 38 of them, so at the end I am left with 69 of them). I also have 95 mazda cx-5 cars (received them yesterday). My friend also has 28 honda hr-v cars. I also have 63 marimbas (it is a funny story how I have 63 of them: initially I had 96, then I also got another 18 making it a total of 114, then I got another 81 making it a total of 195, but then I lost 132 of them so eventually I am left with 63 of them now). My mother also has 83 mazda3 cars. I also have 13 whales (here is why I have these many: initially I had 95 of them, then I lost 36 of them, but then I got another 94 of them, but then I lost 140 of them, so at the end I am left with 13 of them). I also have 8 trumpets (here is why I have these many: initially I had 95 of them, then I lost 30 of them, but then I got another 24 of them, but then I lost 81 of them, so at the end I am left with 8 of them). My aunt also has 13 accordions. My cousin also has 76 tesla model s cars. My grandfather also has 57 sruti boxes. My cousin also has 47 seals. I also have 94 toyota sienna cars (I like these a lot). My friend also has 11 nissan kicks cars. My mother also has 52 guitars. My cousin also has 50 mazda cx-90 cars. My grandmother also has 35 goldfish. My aunt also has 48 parrots. I also have 56 erhus (it is a funny story how I have 56 of them: initially I had 13, then I also got another 20 making it a total of 33, then I got another 60 making it a total of 93, but then I lost 37 of them so eventually I am left with 56 of them now). My grandmother also has 39 synthesizer keyboards. I also have 86 turkeys (feeling good about this). My sister also has 20 nissan leaf cars. My brother also has 54 reindeer. I also have 7 komodo dragons (maybe I just need some of them). My sister also has 16 salmon. My grandmother also has 42 chameleons. My friend also has 22 french horns. My grandfather also has 21 hyenas. I also have 63 electric guitars (hope to have more in the future). My grandmother also has 38 honda element cars. My cousin also has 18 bats. My brother also has 76 armadillos. My mother also has 65 mridangams. My grandmother also has 40 pennywhistles. My aunt also has 19 zithers. My sister also has 75 volkswagen golf cars. I also have 44 bassoons (here is why I have these many: initially I had 66 of them, then I lost 62 of them, but then I got another 44 of them, but then I lost 4 of them, so at the end I am left with 44 of them). My friend also has 4 nissan titan cars. I also have 28 shamisens (received them yesterday). My sister also has 42 mazda cx-50 cars. My mother also has 95 electric pianos. My mother also has 28 toads. I also have 90 nissan armada cars (I am in love with them). My friend also has 34 wasps. My aunt also has 22 rababs. My grandmother also has 98 cows. My grandmother also has 98 cellos. My aunt also has 39 quails. My cousin also has 38 buick enclave cars. My grandmother also has 22 tambourines. My cousin also has 50 toyota tacoma cars. My father also has 86 nadaswarams. I also have 53 dulcimers (happt to have them). My sister also has 75 nissan pathfinder cars. I also have 46 raccoons (it is a funny story how I have 46 of them: initially I had 27, then I also got another 84 making it a total of 111, then I got another 91 making it a total of 202, but then I lost 156 of them so eventually I am left with 46 of them now). I also have 21 guzhengs (it is a funny story how I have 21 of them: initially I had 42, then I also got another 48 making it a total of 90, then I got another 72 making it a total of 162, but then I lost 141 of them so eventually I am left with 21 of them now). I also have 66 nissan maxima cars (thrilled to have these). I also have 5 castanets (they were given to me as a gift). My mother also has 85 ducks. My sister also has 99 orangutans. I also have 11 bees (I am in love with them). My uncle also has 46 manatees. What is the absolute difference of the total number of musical instruments and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:026", "request": "I have 13 lemons (received them last week). My friend has 87 durians. I also have 78 meizu mobiles (happt to have them). I also have 39 merlot grapes (it is a funny story how I have 39 of them: initially I had 41, then I also got another 65 making it a total of 106, then I got another 60 making it a total of 166, but then I lost 127 of them so eventually I am left with 39 of them now). I also have 71 samsung galaxy a15 mobiles (I like these a lot). I also have 38 octopus (here is why I have these many: initially I had 94 of them, then I lost 24 of them, but then I got another 47 of them, but then I lost 79 of them, so at the end I am left with 38 of them). My friend also has 76 samsung galaxy m55s mobiles. I also have 74 syrah grapes (it is a funny story how I have 74 of them: initially I had 70, then I also got another 35 making it a total of 105, then I got another 79 making it a total of 184, but then I lost 110 of them so eventually I am left with 74 of them now). I also have 84 samsung galaxy tab s10 mobiles (here is why I have these many: initially I had 70 of them, then I lost 12 of them, but then I got another 81 of them, but then I lost 55 of them, so at the end I am left with 84 of them). I also have 4 sony mobiles (received them last week). My father has 36 coconuts. I also have 74 squirrels (happt to have them). My uncle has 22 huawei nova 13 mobiles. I also have 91 kiwis (it is a funny story how I have 91 of them: initially I had 18, then I also got another 86 making it a total of 104, then I got another 94 making it a total of 198, but then I lost 107 of them so eventually I am left with 91 of them now). My grandmother has 12 seals. I also have 22 mangoes (here is why I have these many: initially I had 14 of them, then I lost 10 of them, but then I got another 45 of them, but then I lost 27 of them, so at the end I am left with 22 of them). I also have 3 iphone 11 mobiles (it is a funny story how I have 3 of them: initially I had 84, then I also got another 72 making it a total of 156, then I got another 79 making it a total of 235, but then I lost 232 of them so eventually I am left with 3 of them now). My sister has 98 iphone 5 mobiles. My grandfather has 95 huawei mate x6 mobiles. My friend also has 32 dates. My father also has 36 jonagold apples. My uncle also has 70 iphone 7 mobiles. My grandfather also has 45 swans. My sister also has 37 fish. My mother has 85 cats. I also have 22 echidnas (it is a funny story how I have 22 of them: initially I had 51, then I also got another 14 making it a total of 65, then I got another 70 making it a total of 135, but then I lost 113 of them so eventually I am left with 22 of them now). My grandfather also has 49 cranberrys. My sister also has 65 huawei nova 12s mobiles. My mother also has 54 spartan apples. I also have 64 shrimps (here is why I have these many: initially I had 21 of them, then I lost 16 of them, but then I got another 66 of them, but then I lost 7 of them, so at the end I am left with 64 of them). I also have 42 tecno mobiles (feeling great about this). My brother has 37 huawei nova 12 pro mobiles. I also have 8 pineapples (received them yesterday). I also have 70 plums (planning to have more in the future). I also have 36 plantains (received them yesterday). I also have 52 butterflys (it is a funny story how I have 52 of them: initially I had 73, then I also got another 20 making it a total of 93, then I got another 83 making it a total of 176, but then I lost 124 of them so eventually I am left with 52 of them now). I also have 4 sheep (I am in love with them). My uncle also has 48 pigs. I also have 94 flamingoes (planning to have more in the future). I also have 81 iphone x mobiles (they are great). My sister also has 67 cattles. My sister also has 40 hawks. I also have 47 motorola mobiles (one day, I will have more of them). I also have 87 ginger gold apples (here is why I have these many: initially I had 76 of them, then I lost 74 of them, but then I got another 86 of them, but then I lost 1 of them, so at the end I am left with 87 of them). My friend also has 71 infinix mobiles. My mother also has 15 iphone 15 mobiles. My father also has 50 pink lady apples. I also have 65 realme mobiles (it is a funny story how I have 65 of them: initially I had 38, then I also got another 31 making it a total of 69, then I got another 77 making it a total of 146, but then I lost 81 of them so eventually I am left with 65 of them now). My aunt has 5 soursops. My friend also has 20 buffaloes. I also have 41 apricots (it is a funny story how I have 41 of them: initially I had 85, then I also got another 52 making it a total of 137, then I got another 69 making it a total of 206, but then I lost 165 of them so eventually I am left with 41 of them now). My friend also has 66 persimmons. I also have 50 boars (here is why I have these many: initially I had 57 of them, then I lost 19 of them, but then I got another 82 of them, but then I lost 70 of them, so at the end I am left with 50 of them). I also have 55 lions (here is why I have these many: initially I had 33 of them, then I lost 13 of them, but then I got another 81 of them, but then I lost 46 of them, so at the end I am left with 55 of them). My brother also has 75 fuji apples. I also have 47 huawei nova 12i mobiles (maybe I just need some of them). My brother also has 25 rhinoceros. My brother also has 11 honeydews. My friend also has 9 hamsters. My grandmother also has 33 snails. My uncle also has 62 blackberry mobiles. My sister also has 95 nebbiolo grapes. My grandmother also has 65 clementinefigs. My friend also has 39 huawei mate 70 mobiles. I also have 24 autumn royal grapes (it is a funny story how I have 24 of them: initially I had 98, then I also got another 88 making it a total of 186, then I got another 52 making it a total of 238, but then I lost 214 of them so eventually I am left with 24 of them now). My sister also has 60 lychees. My uncle also has 73 possums. I also have 82 alligators (received them last week). My aunt also has 54 lg mobiles. I also have 25 jazz apples (one day, I will have more of them). My brother also has 18 doves. My uncle also has 45 cotton candy grapes. I also have 93 king cobra snakes (here is why I have these many: initially I had 66 of them, then I lost 21 of them, but then I got another 68 of them, but then I lost 20 of them, so at the end I am left with 93 of them). My uncle also has 29 hens. I also have 76 nectarines (it is a funny story how I have 76 of them: initially I had 23, then I also got another 48 making it a total of 71, then I got another 17 making it a total of 88, but then I lost 12 of them so eventually I am left with 76 of them now). I also have 21 google (pixel) mobiles (here is why I have these many: initially I had 78 of them, then I lost 76 of them, but then I got another 28 of them, but then I lost 9 of them, so at the end I am left with 21 of them). I also have 66 cranes (happt to have them). I also have 64 bananas (it is a funny story how I have 64 of them: initially I had 51, then I also got another 81 making it a total of 132, then I got another 68 making it a total of 200, but then I lost 136 of them so eventually I am left with 64 of them now). I also have 9 cows (here is why I have these many: initially I had 17 of them, then I lost 15 of them, but then I got another 82 of them, but then I lost 75 of them, so at the end I am left with 9 of them). My mother also has 74 mulberrys. My friend also has 30 cantaloupes. My mother also has 86 python snakes. My grandmother also has 11 quails. I also have 48 eagles (feeling great about this). My uncle also has 92 salmon. My sister also has 76 corgis. I also have 25 breadfruits (here is why I have these many: initially I had 27 of them, then I lost 14 of them, but then I got another 78 of them, but then I lost 66 of them, so at the end I am left with 25 of them). My grandmother also has 4 cherrys. I also have 1 iphone 12 mobiles (hope to have more in the future). I also have 88 nokia mobiles (here is why I have these many: initially I had 21 of them, then I lost 12 of them, but then I got another 87 of them, but then I lost 8 of them, so at the end I am left with 88 of them). I also have 94 dragonfruits (happt to have them). What is the absolute difference of the total number of fruits and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:028", "request": "My brother has 44 eagles. My mother has 22 samsung galaxy z fold5 mobiles. I have 57 ravens (I really like them). I also have 37 iphone 11 mobiles (it is a funny story how I have 37 of them: initially I had 72, then I also got another 31 making it a total of 103, then I got another 56 making it a total of 159, but then I lost 122 of them so eventually I am left with 37 of them now). I also have 19 sazzes (thrilled to have these). I also have 17 manatees (happt to have them). I also have 4 tecno mobiles (it is a funny story how I have 4 of them: initially I had 40, then I also got another 39 making it a total of 79, then I got another 75 making it a total of 154, but then I lost 150 of them so eventually I am left with 4 of them now). My aunt has 89 n'gonis. My cousin has 63 iphone 12 mobiles. I also have 2 iphone 7 mobiles (it is a funny story how I have 2 of them: initially I had 81, then I also got another 71 making it a total of 152, then I got another 99 making it a total of 251, but then I lost 249 of them so eventually I am left with 2 of them now). My mother also has 24 guzhengs. My brother also has 19 toads. My aunt also has 28 huawei nova 12i mobiles. I also have 27 electric pianos (feeling great about this). My friend has 82 kazoos. My mother also has 51 harmonicas. My father has 94 zebras. I also have 17 boars (it is a funny story how I have 17 of them: initially I had 94, then I also got another 35 making it a total of 129, then I got another 46 making it a total of 175, but then I lost 158 of them so eventually I am left with 17 of them now). I also have 22 htc mobiles (I like these a lot). My grandfather has 53 kalimbas. I also have 50 samsung galaxy z fold6 mobiles (I really like them). My brother also has 55 walrus. I also have 91 honor mobiles (it is a funny story how I have 91 of them: initially I had 27, then I also got another 55 making it a total of 82, then I got another 46 making it a total of 128, but then I lost 37 of them so eventually I am left with 91 of them now). My grandfather also has 1 mule. My grandfather also has 35 blackberry mobiles. My cousin also has 49 glockenspiels. I also have 96 samsung galaxy f05 mobiles (feeling good about this). I also have 88 iphone 6 mobiles (they were given to me as a gift). My aunt also has 58 huawei pura 70 mobiles. My grandfather also has 39 oneplus mobiles. My cousin also has 50 electric guitars. I also have 55 salamanders (here is why I have these many: initially I had 92 of them, then I lost 57 of them, but then I got another 85 of them, but then I lost 65 of them, so at the end I am left with 55 of them). My brother also has 31 foxes. My cousin also has 47 samsung galaxy a15 mobiles. I also have 47 iphone 4 mobiles (here is why I have these many: initially I had 66 of them, then I lost 61 of them, but then I got another 68 of them, but then I lost 26 of them, so at the end I am left with 47 of them). My cousin also has 55 squirrels. My uncle has 43 shrews. My brother also has 78 skunks. I also have 38 cows (it is a funny story how I have 38 of them: initially I had 89, then I also got another 32 making it a total of 121, then I got another 48 making it a total of 169, but then I lost 131 of them so eventually I am left with 38 of them now). My friend also has 63 buffaloes. My brother also has 47 mridangams. I also have 50 mosquitoes (maybe I just need some of them). I also have 99 clarinets (they are great). I also have 32 hamsters (I do not think I need this much). I also have 65 crows (it is a funny story how I have 65 of them: initially I had 37, then I also got another 99 making it a total of 136, then I got another 19 making it a total of 155, but then I lost 90 of them so eventually I am left with 65 of them now). I also have 37 turkeys (here is why I have these many: initially I had 94 of them, then I lost 26 of them, but then I got another 91 of them, but then I lost 122 of them, so at the end I am left with 37 of them). My brother also has 25 samsung galaxy a35 mobiles. My brother also has 49 electric cellos. My mother also has 19 nokia mobiles. I also have 83 mbiras (it is a funny story how I have 83 of them: initially I had 72, then I also got another 33 making it a total of 105, then I got another 38 making it a total of 143, but then I lost 60 of them so eventually I am left with 83 of them now). My mother also has 36 dolphins. My friend also has 47 shrimps. I also have 19 bassoons (it is a funny story how I have 19 of them: initially I had 38, then I also got another 40 making it a total of 78, then I got another 25 making it a total of 103, but then I lost 84 of them so eventually I am left with 19 of them now). My uncle also has 86 mamba snakes. My uncle also has 61 congas. I also have 56 huawei nova 12s mobiles (I am in love with them). My uncle also has 21 iphone 15 mobiles. I also have 93 sheep (it is a funny story how I have 93 of them: initially I had 57, then I also got another 85 making it a total of 142, then I got another 18 making it a total of 160, but then I lost 67 of them so eventually I am left with 93 of them now). My friend also has 21 drums. My uncle also has 70 iphone 8 mobiles. My uncle also has 27 banjoes. I also have 21 electric violins (they are great). My father also has 97 kangaroos. I also have 58 geese (here is why I have these many: initially I had 35 of them, then I lost 27 of them, but then I got another 93 of them, but then I lost 43 of them, so at the end I am left with 58 of them). My grandmother has 27 tablas. I also have 7 violins (it is a funny story how I have 7 of them: initially I had 93, then I also got another 33 making it a total of 126, then I got another 90 making it a total of 216, but then I lost 209 of them so eventually I am left with 7 of them now). My grandmother also has 58 rhinoceros. My friend also has 58 king cobra snakes. My cousin also has 62 maracas. I also have 83 motorola mobiles (here is why I have these many: initially I had 79 of them, then I lost 18 of them, but then I got another 46 of them, but then I lost 24 of them, so at the end I am left with 83 of them). I also have 45 synthesizer keyboards (it is a funny story how I have 45 of them: initially I had 86, then I also got another 89 making it a total of 175, then I got another 82 making it a total of 257, but then I lost 212 of them so eventually I am left with 45 of them now). My mother also has 17 chinchillas. I also have 33 marimbas (here is why I have these many: initially I had 49 of them, then I lost 29 of them, but then I got another 23 of them, but then I lost 10 of them, so at the end I am left with 33 of them). I also have 13 anteaters (it is a funny story how I have 13 of them: initially I had 31, then I also got another 43 making it a total of 74, then I got another 29 making it a total of 103, but then I lost 90 of them so eventually I am left with 13 of them now). My sister has 2 crocodiles. My friend also has 66 xylophones. My mother also has 46 bouzoukis. My uncle also has 93 zithers. My grandfather also has 46 huawei pura 70 pro+ mobiles. My brother also has 86 panpipes. My aunt also has 39 echidnas. I also have 16 koras (it is a funny story how I have 16 of them: initially I had 34, then I also got another 23 making it a total of 57, then I got another 42 making it a total of 99, but then I lost 83 of them so eventually I am left with 16 of them now). I also have 64 samsung galaxy c55 mobiles (received them last week). My mother also has 72 python snakes. My friend also has 23 zte mobiles. My friend also has 34 cattles. I also have 21 vivo mobiles (maybe I just need some of them). My aunt also has 81 ukuleles. My brother also has 49 lizards. I also have 93 hens (I do not think I need this much). My sister also has 4 sloths. My mother also has 12 butterflys. I also have 71 parrots (here is why I have these many: initially I had 84 of them, then I lost 58 of them, but then I got another 61 of them, but then I lost 16 of them, so at the end I am left with 71 of them). My mother also has 28 viper snakes. My friend also has 8 sruti boxes. I also have 62 doves (it is a funny story how I have 62 of them: initially I had 91, then I also got another 81 making it a total of 172, then I got another 71 making it a total of 243, but then I lost 181 of them so eventually I am left with 62 of them now). I also have 77 ladybugs (here is why I have these many: initially I had 65 of them, then I lost 31 of them, but then I got another 46 of them, but then I lost 3 of them, so at the end I am left with 77 of them). My brother also has 66 nadaswarams. I also have 14 iphone x mobiles (here is why I have these many: initially I had 26 of them, then I lost 23 of them, but then I got another 100 of them, but then I lost 89 of them, so at the end I am left with 14 of them). My mother also has 73 harpsichords. I also have 88 electric bass (I like these a lot). My grandmother also has 69 roosters. I also have 71 ponys (one day, I will have more of them). My grandmother also has 30 magpies. I also have 65 sitars (it is a funny story how I have 65 of them: initially I had 49, then I also got another 70 making it a total of 119, then I got another 53 making it a total of 172, but then I lost 107 of them so eventually I am left with 65 of them now). My father also has 37 accordions. My grandmother also has 85 tars. My uncle also has 39 pianos. I also have 62 llamas (I am in love with them). I also have 24 trumpets (here is why I have these many: initially I had 46 of them, then I lost 44 of them, but then I got another 91 of them, but then I lost 69 of them, so at the end I am left with 24 of them). I also have 3 antelopes (very happy to have them). I also have 46 elephants (here is why I have these many: initially I had 53 of them, then I lost 40 of them, but then I got another 86 of them, but then I lost 53 of them, so at the end I am left with 46 of them). I also have 30 huawei mate x6 mobiles (planning to have more in the future). My sister also has 84 tanpuras. My father also has 92 yaks. My grandmother also has 68 shamisens. My grandmother also has 88 guitars. My grandfather also has 28 saxophones. My uncle also has 88 huawei mate 70 mobiles. I also have 73 flamingoes (here is why I have these many: initially I had 66 of them, then I lost 26 of them, but then I got another 36 of them, but then I lost 3 of them, so at the end I am left with 73 of them). My friend also has 59 huawei nova 11 se mobiles. My friend also has 93 bongos. I also have 12 rats (here is why I have these many: initially I had 26 of them, then I lost 16 of them, but then I got another 76 of them, but then I lost 74 of them, so at the end I am left with 12 of them). My friend also has 8 turtles. My mother also has 33 didgeridoos. I also have 93 kingsnakes (here is why I have these many: initially I had 74 of them, then I lost 28 of them, but then I got another 71 of them, but then I lost 24 of them, so at the end I am left with 93 of them). I also have 37 iguanas (here is why I have these many: initially I had 25 of them, then I lost 18 of them, but then I got another 76 of them, but then I lost 46 of them, so at the end I am left with 37 of them). My grandfather also has 3 tamburas. My grandmother also has 22 samsung galaxy s24 mobiles. I also have 50 tambourines (thrilled to have these). What is the sum of the total number of musical instruments and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:030", "request": "My sister has 29 samsung galaxy a35 mobiles. My mother has 52 chardonnay grapes. My cousin has 75 bongos. My grandmother has 99 autumn royal grapes. My grandfather has 19 samsung galaxy tab s10 mobiles. My father has 84 merlot grapes. My uncle has 40 dragonfruits. My grandfather also has 74 samsung galaxy a55 mobiles. My grandfather also has 67 organs. My sister also has 74 honeycrisp apples. My uncle also has 26 french horns. My father also has 60 castanets. I have 82 breadfruits (it is a funny story how I have 82 of them: initially I had 71, then I also got another 48 making it a total of 119, then I got another 77 making it a total of 196, but then I lost 114 of them so eventually I am left with 82 of them now). I also have 62 motorola mobiles (I like these a lot). My aunt has 50 huawei nova 12 pro mobiles. My uncle also has 76 rebecs. My uncle also has 19 cantaloupes. I also have 88 lg mobiles (here is why I have these many: initially I had 68 of them, then I lost 29 of them, but then I got another 53 of them, but then I lost 4 of them, so at the end I am left with 88 of them). My grandfather also has 40 plums. I also have 35 mbiras (here is why I have these many: initially I had 30 of them, then I lost 21 of them, but then I got another 57 of them, but then I lost 31 of them, so at the end I am left with 35 of them). My grandmother also has 38 grapefruits. I also have 4 guavas (received them last month). My grandfather also has 39 samsung galaxy c55 mobiles. I also have 78 samsung galaxy a15 mobiles (it is a funny story how I have 78 of them: initially I had 51, then I also got another 86 making it a total of 137, then I got another 70 making it a total of 207, but then I lost 129 of them so eventually I am left with 78 of them now). I also have 89 samsung galaxy z fold6 mobiles (received them last week). My grandmother also has 65 electric violins. I also have 45 zte mobiles (it is a funny story how I have 45 of them: initially I had 10, then I also got another 10 making it a total of 20, then I got another 53 making it a total of 73, but then I lost 28 of them so eventually I am left with 45 of them now). My father also has 82 ambrosia apples. My cousin also has 64 panpipes. My grandmother also has 4 cherrys. My grandmother also has 77 bouzoukis. My grandmother also has 2 huawei nova 12s mobiles. I also have 23 dulcimers (received them last month). My uncle also has 81 tecno mobiles. I also have 12 peaches (here is why I have these many: initially I had 75 of them, then I lost 46 of them, but then I got another 98 of them, but then I lost 115 of them, so at the end I am left with 12 of them). My brother has 80 oboes. I also have 23 n'gonis (it is a funny story how I have 23 of them: initially I had 98, then I also got another 55 making it a total of 153, then I got another 52 making it a total of 205, but then I lost 182 of them so eventually I am left with 23 of them now). My friend has 19 trombones. My aunt also has 68 huawei mate x6 mobiles. I also have 87 pears (maybe I just need some of them). My father also has 6 trumpets. I also have 48 koras (here is why I have these many: initially I had 86 of them, then I lost 12 of them, but then I got another 79 of them, but then I lost 105 of them, so at the end I am left with 48 of them). My cousin also has 96 nokia mobiles. I also have 56 meizu mobiles (here is why I have these many: initially I had 62 of them, then I lost 11 of them, but then I got another 60 of them, but then I lost 55 of them, so at the end I am left with 56 of them). My sister also has 43 huawei nova 12i mobiles. My mother also has 53 rababs. I also have 8 htc mobiles (here is why I have these many: initially I had 61 of them, then I lost 31 of them, but then I got another 100 of them, but then I lost 122 of them, so at the end I am left with 8 of them). My uncle also has 42 electric bass. My uncle also has 78 iphone 12 mobiles. My father also has 99 balafons. My uncle also has 76 nadaswarams. I also have 63 pinot noir grapes (maybe I just need some of them). My sister also has 74 durians. I also have 19 grenache grapes (here is why I have these many: initially I had 89 of them, then I lost 39 of them, but then I got another 41 of them, but then I lost 72 of them, so at the end I am left with 19 of them). My sister also has 11 bassoons. My father also has 28 sruti boxes. I also have 86 electric drums (maybe I just need some of them). I also have 30 accordions (received them yesterday). My sister also has 16 vibraphone, steelpans. I also have 30 sazzes (it is a funny story how I have 30 of them: initially I had 93, then I also got another 73 making it a total of 166, then I got another 19 making it a total of 185, but then I lost 155 of them so eventually I am left with 30 of them now). My father also has 54 bass guitars. I also have 73 lemons (it is a funny story how I have 73 of them: initially I had 48, then I also got another 39 making it a total of 87, then I got another 73 making it a total of 160, but then I lost 87 of them so eventually I am left with 73 of them now). My cousin also has 64 pennywhistles. My friend also has 96 soursops. My sister also has 36 muscat grapes. My sister also has 65 realme mobiles. My sister also has 2 strawberrys. My mother also has 48 huawei pura 70 pro mobiles. I also have 8 kotoes (I like these a lot). My grandmother also has 85 iphone 7 mobiles. My friend also has 7 mulberrys. My cousin also has 65 tanpuras. I also have 36 fuji apples (maybe I just need some of them). My father also has 73 iphone 13 mobiles. My cousin also has 48 shamisens. I also have 8 syrah grapes (it is a funny story how I have 8 of them: initially I had 68, then I also got another 80 making it a total of 148, then I got another 56 making it a total of 204, but then I lost 196 of them so eventually I am left with 8 of them now). I also have 39 setars (here is why I have these many: initially I had 54 of them, then I lost 23 of them, but then I got another 19 of them, but then I lost 11 of them, so at the end I am left with 39 of them). I also have 22 banjoes (hope to have more in the future). My mother also has 59 persimmons. I also have 64 clavichords (here is why I have these many: initially I had 69 of them, then I lost 22 of them, but then I got another 40 of them, but then I lost 23 of them, so at the end I am left with 64 of them). My brother also has 57 iphone 4 mobiles. I also have 7 huawei pura 70 mobiles (it is a funny story how I have 7 of them: initially I had 37, then I also got another 87 making it a total of 124, then I got another 68 making it a total of 192, but then I lost 185 of them so eventually I am left with 7 of them now). I also have 73 iphone 11 mobiles (received them last month). My grandmother also has 94 congas. I also have 57 lychees (one day, I will have more of them). I also have 54 tamburas (feeling good about this). My mother also has 35 pomegranates. I also have 68 starfruits (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 90 of them, but then I lost 24 of them, so at the end I am left with 68 of them). I also have 72 blackberry mobiles (I really like them). I also have 77 iphone x mobiles (here is why I have these many: initially I had 60 of them, then I lost 27 of them, but then I got another 83 of them, but then I lost 39 of them, so at the end I am left with 77 of them). My cousin also has 79 timpanis. I also have 61 iphone 14 mobiles (feeling great about this). My aunt also has 29 sitars. My brother also has 14 flutes. I also have 78 iphone 15 mobiles (one day, I will have more of them). My mother also has 1 double bass. I also have 22 huawei mate 70 mobiles (it is a funny story how I have 22 of them: initially I had 91, then I also got another 19 making it a total of 110, then I got another 52 making it a total of 162, but then I lost 140 of them so eventually I am left with 22 of them now). I also have 42 elderberryoranges (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 55 of them, but then I lost 14 of them, so at the end I am left with 42 of them). I also have 76 harpsichords (very happy to have them). I also have 34 ginger gold apples (it is a funny story how I have 34 of them: initially I had 68, then I also got another 23 making it a total of 91, then I got another 24 making it a total of 115, but then I lost 81 of them so eventually I am left with 34 of them now). What is the absolute difference of the total number of musical instruments and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:031", "request": "My brother has 3 leopards. I have 39 grapefruits (I am in love with them). I also have 44 monkeys (feeling great about this). I also have 11 electric pianos (received them last week). My uncle has 84 vultures. I also have 52 double bass (here is why I have these many: initially I had 44 of them, then I lost 15 of them, but then I got another 67 of them, but then I lost 44 of them, so at the end I am left with 52 of them). My brother also has 38 frogs. My cousin has 15 riesling grapes. My cousin also has 94 chickens. My friend has 50 wasps. My brother also has 62 glockenspiels. I also have 61 setars (here is why I have these many: initially I had 99 of them, then I lost 46 of them, but then I got another 51 of them, but then I lost 43 of them, so at the end I am left with 61 of them). My father has 17 pink lady apples. My sister has 96 alpacas. I also have 2 alligators (here is why I have these many: initially I had 56 of them, then I lost 17 of them, but then I got another 46 of them, but then I lost 83 of them, so at the end I am left with 2 of them). My mother has 37 llamas. I also have 26 iguanas (it is a funny story how I have 26 of them: initially I had 96, then I also got another 88 making it a total of 184, then I got another 56 making it a total of 240, but then I lost 214 of them so eventually I am left with 26 of them now). I also have 64 beavers (received them last week). I also have 90 honeydews (here is why I have these many: initially I had 46 of them, then I lost 29 of them, but then I got another 100 of them, but then I lost 27 of them, so at the end I am left with 90 of them). I also have 32 tamburas (here is why I have these many: initially I had 42 of them, then I lost 18 of them, but then I got another 23 of them, but then I lost 15 of them, so at the end I am left with 32 of them). My friend also has 53 donkeys. My sister also has 84 pears. My mother also has 33 jackfruits. My friend also has 69 pennywhistles. I also have 68 possums (one day, I will have more of them). My cousin also has 33 nectarines. My friend also has 74 lychees. My cousin also has 75 cranes. My aunt has 16 electric drums. My mother also has 66 viper snakes. My mother also has 5 starfruits. I also have 96 honeycrisp apples (thrilled to have these). I also have 7 pipas (maybe I just need some of them). My grandfather has 5 grenache grapes. I also have 61 nadaswarams (here is why I have these many: initially I had 22 of them, then I lost 15 of them, but then I got another 67 of them, but then I lost 13 of them, so at the end I am left with 61 of them). My mother also has 36 crabs. My friend also has 13 didgeridoos. I also have 84 persimmons (one day, I will have more of them). My grandmother has 4 turtles. I also have 81 violins (here is why I have these many: initially I had 64 of them, then I lost 49 of them, but then I got another 86 of them, but then I lost 20 of them, so at the end I am left with 81 of them). My mother also has 33 ginger gold apples. My uncle also has 65 sitars. I also have 84 emus (here is why I have these many: initially I had 14 of them, then I lost 13 of them, but then I got another 96 of them, but then I lost 13 of them, so at the end I am left with 84 of them). My grandfather also has 92 king cobra snakes. I also have 91 merlot grapes (received them yesterday). I also have 33 stingrays (here is why I have these many: initially I had 87 of them, then I lost 62 of them, but then I got another 77 of them, but then I lost 69 of them, so at the end I am left with 33 of them). My cousin also has 91 elephants. My grandfather also has 22 groundhogs. My mother also has 42 ukuleles. My brother also has 8 panpipes. My aunt also has 67 cranberrys. My father also has 27 jazz apples. My sister also has 63 gala apples. My uncle also has 87 dates. I also have 70 bananas (here is why I have these many: initially I had 95 of them, then I lost 23 of them, but then I got another 34 of them, but then I lost 36 of them, so at the end I am left with 70 of them). I also have 23 tanpuras (it is a funny story how I have 23 of them: initially I had 85, then I also got another 80 making it a total of 165, then I got another 62 making it a total of 227, but then I lost 204 of them so eventually I am left with 23 of them now). I also have 1 ant (here is why I have these many: initially I had 39 of them, then I lost 21 of them, but then I got another 44 of them, but then I lost 61 of them, so at the end I am left with 1 of them). I also have 98 dragonfruits (feeling good about this). I also have 80 xylophones (it is a funny story how I have 80 of them: initially I had 60, then I also got another 17 making it a total of 77, then I got another 87 making it a total of 164, but then I lost 84 of them so eventually I am left with 80 of them now). My grandmother also has 21 raspberrys. My father also has 61 apes. I also have 82 wolves (I like these a lot). I also have 84 mulberrys (feeling great about this). I also have 53 bats (it is a funny story how I have 53 of them: initially I had 43, then I also got another 33 making it a total of 76, then I got another 82 making it a total of 158, but then I lost 105 of them so eventually I am left with 53 of them now). My father also has 89 aardvarks. My friend also has 99 toads. I also have 97 jonagold apples (it is a funny story how I have 97 of them: initially I had 52, then I also got another 87 making it a total of 139, then I got another 100 making it a total of 239, but then I lost 142 of them so eventually I am left with 97 of them now). My mother also has 98 eagles. My friend also has 76 drums. My father also has 21 anteaters. My father also has 11 cotton candy grapes. I also have 69 kingsnakes (here is why I have these many: initially I had 53 of them, then I lost 15 of them, but then I got another 33 of them, but then I lost 2 of them, so at the end I am left with 69 of them). My brother also has 33 vibraphone, steelpans. My grandmother also has 53 guitars. I also have 63 koras (here is why I have these many: initially I had 44 of them, then I lost 11 of them, but then I got another 41 of them, but then I lost 11 of them, so at the end I am left with 63 of them). My father also has 1 harpsichord. My aunt also has 33 peaches. My uncle also has 41 moose. I also have 56 cherrys (it is a funny story how I have 56 of them: initially I had 19, then I also got another 15 making it a total of 34, then I got another 49 making it a total of 83, but then I lost 27 of them so eventually I am left with 56 of them now). I also have 99 sruti boxes (received them last month). My uncle also has 20 nebbiolo grapes. My father also has 42 chinchillas. I also have 71 guzhengs (here is why I have these many: initially I had 85 of them, then I lost 22 of them, but then I got another 39 of them, but then I lost 31 of them, so at the end I am left with 71 of them). My brother also has 35 plantains. I also have 63 rebecs (received them last month). My mother also has 54 orangutans. I also have 33 newts (feeling good about this). I also have 59 congas (planning to have more in the future). My grandfather also has 66 envy apples. My mother also has 36 sharks. My friend also has 84 crocodiles. I also have 29 raccoons (here is why I have these many: initially I had 92 of them, then I lost 67 of them, but then I got another 99 of them, but then I lost 95 of them, so at the end I am left with 29 of them). My grandmother also has 17 marimbas. My cousin also has 85 spartan apples. What is the sum of the total number of musical instruments and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:037", "request": "I have 15 lemurs (happt to have them). I also have 22 nectarines (here is why I have these many: initially I had 73 of them, then I lost 60 of them, but then I got another 81 of them, but then I lost 72 of them, so at the end I am left with 22 of them). My aunt has 41 black rat snakes. My cousin has 6 pomegranates. My brother has 43 electric bass. I also have 20 guzhengs (very happy to have them). My grandmother has 35 mbiras. My brother also has 24 rattlesnakes. My grandmother also has 2 lions. I also have 10 chickens (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 73 of them, but then I lost 65 of them, so at the end I am left with 10 of them). I also have 25 grenache grapes (feeling good about this). I also have 36 shamisens (they are great). I also have 8 xylophones (I do not think I need this much). I also have 41 jonagold apples (they were given to me as a gift). My uncle has 37 cattles. My aunt also has 22 cows. My brother also has 55 baboons. I also have 94 alligators (very happy to have them). My cousin also has 20 turkeys. I also have 54 buffaloes (here is why I have these many: initially I had 91 of them, then I lost 83 of them, but then I got another 57 of them, but then I lost 11 of them, so at the end I am left with 54 of them). My friend has 46 geese. I also have 36 vultures (thrilled to have these). My brother also has 80 sheep. My grandmother also has 92 grapefruits. My brother also has 38 drums. My grandfather has 17 pink lady apples. I also have 65 sruti boxes (it is a funny story how I have 65 of them: initially I had 23, then I also got another 96 making it a total of 119, then I got another 85 making it a total of 204, but then I lost 139 of them so eventually I am left with 65 of them now). I also have 67 blueberrys (hope to have more in the future). My mother has 91 jazz apples. I also have 61 quinces (it is a funny story how I have 61 of them: initially I had 88, then I also got another 48 making it a total of 136, then I got another 31 making it a total of 167, but then I lost 106 of them so eventually I am left with 61 of them now). My uncle also has 24 llamas. I also have 15 cheetahs (happt to have them). I also have 93 watermelons (it is a funny story how I have 93 of them: initially I had 42, then I also got another 67 making it a total of 109, then I got another 76 making it a total of 185, but then I lost 92 of them so eventually I am left with 93 of them now). I also have 35 merlot grapes (happt to have them). I also have 87 macaws (feeling good about this). My sister has 94 electric guitars. My uncle also has 78 recorders. I also have 46 cantaloupes (feeling great about this). I also have 10 kingsnakes (it is a funny story how I have 10 of them: initially I had 86, then I also got another 22 making it a total of 108, then I got another 82 making it a total of 190, but then I lost 180 of them so eventually I am left with 10 of them now). I also have 79 maracas (hope to have more in the future). My aunt also has 73 bass guitars. My friend also has 46 mulberrys. My aunt also has 86 goldfish. My friend also has 1 zither. I also have 39 reindeer (here is why I have these many: initially I had 36 of them, then I lost 17 of them, but then I got another 28 of them, but then I lost 8 of them, so at the end I am left with 39 of them). I also have 54 autoharps (here is why I have these many: initially I had 43 of them, then I lost 36 of them, but then I got another 54 of them, but then I lost 7 of them, so at the end I am left with 54 of them). I also have 52 dulcimers (maybe I just need some of them). My father has 10 ouds. My uncle also has 73 hammered dulcimers. I also have 3 bagpipes (it is a funny story how I have 3 of them: initially I had 28, then I also got another 73 making it a total of 101, then I got another 50 making it a total of 151, but then I lost 148 of them so eventually I am left with 3 of them now). My friend also has 25 didgeridoos. I also have 35 clementinefigs (hope to have more in the future). My uncle also has 5 envy apples. I also have 59 pears (feeling good about this). My mother also has 13 timpanis. My cousin also has 53 cherrys. I also have 80 tamburas (it is a funny story how I have 80 of them: initially I had 35, then I also got another 63 making it a total of 98, then I got another 13 making it a total of 111, but then I lost 31 of them so eventually I am left with 80 of them now). I also have 64 magpies (it is a funny story how I have 64 of them: initially I had 52, then I also got another 52 making it a total of 104, then I got another 62 making it a total of 166, but then I lost 102 of them so eventually I am left with 64 of them now). I also have 93 doves (received them last month). My mother also has 90 mangoes. My friend also has 49 apes. I also have 42 elks (they were given to me as a gift). My grandfather also has 67 persimmons. My brother also has 39 ducks. I also have 96 syrah grapes (it is a funny story how I have 96 of them: initially I had 61, then I also got another 28 making it a total of 89, then I got another 97 making it a total of 186, but then I lost 90 of them so eventually I am left with 96 of them now). My sister also has 33 bassoons. I also have 32 oboes (received them last month). I also have 13 bananas (feeling good about this). My friend also has 15 nebbiolo grapes. I also have 41 parrots (it is a funny story how I have 41 of them: initially I had 23, then I also got another 49 making it a total of 72, then I got another 13 making it a total of 85, but then I lost 44 of them so eventually I am left with 41 of them now). I also have 42 pigeons (I am in love with them). My mother also has 86 koalas. I also have 81 theremins (maybe I just need some of them). I also have 6 coconuts (here is why I have these many: initially I had 62 of them, then I lost 60 of them, but then I got another 19 of them, but then I lost 15 of them, so at the end I am left with 6 of them). My sister also has 9 lemons. My grandmother also has 5 guavas. My grandfather also has 9 ambrosia apples. I also have 4 wasps (here is why I have these many: initially I had 89 of them, then I lost 67 of them, but then I got another 12 of them, but then I lost 30 of them, so at the end I am left with 4 of them). I also have 57 riesling grapes (maybe I just need some of them). My cousin also has 27 saxophones. My cousin also has 90 kalimbas. My grandmother also has 18 newts. My uncle also has 14 hummingbirds. I also have 48 impalas (hope to have more in the future). My friend also has 21 vibraphone, steelpans. I also have 99 honeycrisp apples (they are great). I also have 2 pineapples (here is why I have these many: initially I had 36 of them, then I lost 29 of them, but then I got another 66 of them, but then I lost 71 of them, so at the end I am left with 2 of them). My friend also has 13 violins. I also have 4 soursops (it is a funny story how I have 4 of them: initially I had 79, then I also got another 39 making it a total of 118, then I got another 17 making it a total of 135, but then I lost 131 of them so eventually I am left with 4 of them now). I also have 55 plantains (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 74 of them, but then I lost 20 of them, so at the end I am left with 55 of them). My brother also has 7 french horns. I also have 42 clarinets (received them yesterday). I also have 51 echidnas (received them last week). My aunt also has 57 deer. I also have 81 papayas (here is why I have these many: initially I had 78 of them, then I lost 66 of them, but then I got another 98 of them, but then I lost 29 of them, so at the end I am left with 81 of them). My sister also has 30 plums. My grandmother also has 3 lychees. My aunt also has 45 chimpanzees. My father also has 60 kiwis. My cousin also has 71 tortoises. My brother also has 10 chardonnay grapes. I also have 25 giraffes (here is why I have these many: initially I had 97 of them, then I lost 54 of them, but then I got another 57 of them, but then I lost 75 of them, so at the end I am left with 25 of them). My mother also has 18 peaches. I also have 20 owls (feeling great about this). My grandfather also has 30 possums. My brother also has 60 storks. My sister also has 67 boa snakes. My grandfather also has 25 synthesizer keyboards. I also have 54 sazzes (it is a funny story how I have 54 of them: initially I had 70, then I also got another 81 making it a total of 151, then I got another 67 making it a total of 218, but then I lost 164 of them so eventually I am left with 54 of them now). I also have 9 congas (here is why I have these many: initially I had 39 of them, then I lost 14 of them, but then I got another 64 of them, but then I lost 80 of them, so at the end I am left with 9 of them). I also have 25 banjoes (here is why I have these many: initially I had 32 of them, then I lost 27 of them, but then I got another 64 of them, but then I lost 44 of them, so at the end I am left with 25 of them). My aunt also has 34 mice. My mother also has 1 kangaroo. My uncle also has 60 cotton candy grapes. My friend also has 21 leopards. My aunt also has 50 orangutans. My mother also has 19 electric drums. My aunt also has 73 pennywhistles. My father also has 48 salamanders. My cousin also has 77 snails. My grandmother also has 37 guinea pigs. I also have 22 bats (received them last month). I also have 61 ginger gold apples (I am in love with them). What is the absolute difference of the total number of musical instruments and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:038", "request": "I have 9 iphone x mobiles (here is why I have these many: initially I had 47 of them, then I lost 13 of them, but then I got another 81 of them, but then I lost 106 of them, so at the end I am left with 9 of them). My father has 55 maracas. I also have 55 bansuris (here is why I have these many: initially I had 74 of them, then I lost 15 of them, but then I got another 63 of them, but then I lost 67 of them, so at the end I am left with 55 of them). I also have 53 tambourines (it is a funny story how I have 53 of them: initially I had 85, then I also got another 34 making it a total of 119, then I got another 20 making it a total of 139, but then I lost 86 of them so eventually I am left with 53 of them now). My grandfather has 33 iphone 12 mobiles. I also have 69 samsung galaxy s24 mobiles (here is why I have these many: initially I had 56 of them, then I lost 55 of them, but then I got another 70 of them, but then I lost 2 of them, so at the end I am left with 69 of them). My grandmother has 13 dogs. I also have 91 chameleons (here is why I have these many: initially I had 72 of them, then I lost 64 of them, but then I got another 94 of them, but then I lost 11 of them, so at the end I am left with 91 of them). I also have 47 guitars (feeling good about this). I also have 45 huawei nova 12 pro mobiles (it is a funny story how I have 45 of them: initially I had 49, then I also got another 75 making it a total of 124, then I got another 98 making it a total of 222, but then I lost 177 of them so eventually I am left with 45 of them now). I also have 68 accordions (it is a funny story how I have 68 of them: initially I had 59, then I also got another 26 making it a total of 85, then I got another 67 making it a total of 152, but then I lost 84 of them so eventually I am left with 68 of them now). I also have 20 toads (they were given to me as a gift). My friend has 40 banjoes. My uncle has 4 ducks. I also have 76 ravens (I like these a lot). I also have 82 didgeridoos (here is why I have these many: initially I had 92 of them, then I lost 81 of them, but then I got another 97 of them, but then I lost 26 of them, so at the end I am left with 82 of them). My aunt has 42 black rat snakes. I also have 53 huawei pura 70 ultra mobiles (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 55 of them, but then I lost 4 of them, so at the end I am left with 53 of them). My sister has 45 huawei mate 70 mobiles. My mother has 62 tamburas. My father also has 39 moose. My father also has 22 erhus. My aunt also has 41 nadaswarams. My brother has 41 samsung galaxy z fold5 mobiles. I also have 14 zte mobiles (I do not think I need this much). I also have 80 koalas (here is why I have these many: initially I had 62 of them, then I lost 34 of them, but then I got another 55 of them, but then I lost 3 of them, so at the end I am left with 80 of them). I also have 16 drums (it is a funny story how I have 16 of them: initially I had 57, then I also got another 16 making it a total of 73, then I got another 49 making it a total of 122, but then I lost 106 of them so eventually I am left with 16 of them now). My brother also has 57 hammered dulcimers. My sister also has 27 hyenas. I also have 6 cranes (it is a funny story how I have 6 of them: initially I had 22, then I also got another 91 making it a total of 113, then I got another 67 making it a total of 180, but then I lost 174 of them so eventually I am left with 6 of them now). I also have 72 tanpuras (received them yesterday). I also have 73 hummingbirds (here is why I have these many: initially I had 69 of them, then I lost 51 of them, but then I got another 81 of them, but then I lost 26 of them, so at the end I am left with 73 of them). My uncle also has 12 sazzes. I also have 56 cellos (feeling good about this). I also have 26 sloths (it is a funny story how I have 26 of them: initially I had 99, then I also got another 18 making it a total of 117, then I got another 31 making it a total of 148, but then I lost 122 of them so eventually I am left with 26 of them now). My father also has 39 lutes. I also have 97 mamba snakes (here is why I have these many: initially I had 80 of them, then I lost 44 of them, but then I got another 67 of them, but then I lost 6 of them, so at the end I am left with 97 of them). My cousin has 41 sheep. I also have 48 octopus (here is why I have these many: initially I had 15 of them, then I lost 10 of them, but then I got another 63 of them, but then I lost 20 of them, so at the end I am left with 48 of them). I also have 79 iphone 7 mobiles (I am in love with them). My sister also has 20 huawei mate x6 mobiles. My grandmother also has 76 ukuleles. I also have 28 kazoos (thrilled to have these). My grandfather also has 31 djembes. My uncle also has 62 whales. I also have 12 meizu mobiles (they are great). My brother also has 17 iphone 15 mobiles. I also have 6 rhinoceros (happt to have them). I also have 68 canarys (here is why I have these many: initially I had 57 of them, then I lost 45 of them, but then I got another 84 of them, but then I lost 28 of them, so at the end I am left with 68 of them). My aunt also has 36 mridangams. My brother also has 83 honor mobiles. My father also has 12 tortoises. My grandmother also has 61 llamas. My grandfather also has 86 pigs. I also have 53 cockroaches (here is why I have these many: initially I had 89 of them, then I lost 40 of them, but then I got another 34 of them, but then I lost 30 of them, so at the end I am left with 53 of them). I also have 83 samsung galaxy f05 mobiles (thrilled to have these). My friend also has 4 samsung galaxy m55s mobiles. My brother also has 24 sony mobiles. I also have 29 sitars (I like these a lot). My cousin also has 25 harpsichords. I also have 81 leopards (here is why I have these many: initially I had 28 of them, then I lost 10 of them, but then I got another 87 of them, but then I lost 24 of them, so at the end I am left with 81 of them). I also have 80 beavers (feeling good about this). I also have 80 zithers (received them last week). I also have 45 swans (I do not think I need this much). My father also has 69 iphone 13 mobiles. I also have 34 clarinets (happt to have them). My grandmother also has 65 kalimbas. I also have 7 kotoes (it is a funny story how I have 7 of them: initially I had 26, then I also got another 59 making it a total of 85, then I got another 26 making it a total of 111, but then I lost 104 of them so eventually I am left with 7 of them now). My uncle also has 87 iphone 11 mobiles. My father also has 90 deer. My grandmother also has 97 electric guitars. My mother also has 97 samsung galaxy z fold6 mobiles. My brother also has 50 chickens. My cousin also has 79 iphone 6 mobiles. I also have 27 oneplus mobiles (happt to have them). My grandfather also has 91 realme mobiles. I also have 67 bass guitars (very happy to have them). My uncle also has 86 electric bass. I also have 60 possums (here is why I have these many: initially I had 66 of them, then I lost 45 of them, but then I got another 67 of them, but then I lost 28 of them, so at the end I am left with 60 of them). My sister also has 76 zebras. I also have 20 rababs (received them yesterday). My grandfather also has 90 samsung galaxy a55 mobiles. My aunt also has 72 xylophones. My friend also has 53 antelopes. I also have 98 mandolins (I am in love with them). My friend also has 47 shrews. My mother also has 78 doves. I also have 96 walrus (they were given to me as a gift). My mother also has 32 iphone 5 mobiles. I also have 73 setars (I really like them). I also have 34 vivo mobiles (I really like them). My sister also has 89 electric violins. My mother also has 92 infinix mobiles. I also have 73 samsung galaxy c55 mobiles (happt to have them). I also have 81 mules (they are great). I also have 65 oboes (one day, I will have more of them). I also have 56 hawks (here is why I have these many: initially I had 22 of them, then I lost 20 of them, but then I got another 85 of them, but then I lost 31 of them, so at the end I am left with 56 of them). My aunt also has 45 sruti boxes. My friend also has 77 seahorses. I also have 70 ferrets (it is a funny story how I have 70 of them: initially I had 69, then I also got another 56 making it a total of 125, then I got another 59 making it a total of 184, but then I lost 114 of them so eventually I am left with 70 of them now). I also have 42 ocarinas (here is why I have these many: initially I had 24 of them, then I lost 12 of them, but then I got another 31 of them, but then I lost 1 of them, so at the end I am left with 42 of them). I also have 44 jellyfish (feeling good about this). I also have 96 bears (maybe I just need some of them). I also have 98 peacocks (it is a funny story how I have 98 of them: initially I had 55, then I also got another 10 making it a total of 65, then I got another 39 making it a total of 104, but then I lost 6 of them so eventually I am left with 98 of them now). My friend also has 99 owls. I also have 68 camels (planning to have more in the future). My brother also has 60 rats. My cousin also has 60 penguins. My uncle also has 88 castanets. My father also has 52 pigeons. My friend also has 16 garter snakes. My friend also has 70 hens. My sister also has 41 shehnais. I also have 83 manatees (I am in love with them). I also have 29 french horns (it is a funny story how I have 29 of them: initially I had 78, then I also got another 31 making it a total of 109, then I got another 79 making it a total of 188, but then I lost 159 of them so eventually I am left with 29 of them now). I also have 19 iphone 8 mobiles (planning to have more in the future). I also have 6 crows (it is a funny story how I have 6 of them: initially I had 92, then I also got another 64 making it a total of 156, then I got another 50 making it a total of 206, but then I lost 200 of them so eventually I am left with 6 of them now). My brother also has 79 huawei nova 12s mobiles. I also have 3 xiaomi mobiles (here is why I have these many: initially I had 17 of them, then I lost 11 of them, but then I got another 27 of them, but then I lost 30 of them, so at the end I am left with 3 of them). My friend also has 64 htc mobiles. I also have 53 cats (here is why I have these many: initially I had 44 of them, then I lost 31 of them, but then I got another 67 of them, but then I lost 27 of them, so at the end I am left with 53 of them). My grandmother also has 51 nokia mobiles. My mother also has 30 hedgehogs. My grandmother also has 1 narwhal. My uncle also has 67 n'gonis. My grandfather also has 75 macaws. My father also has 37 electric drums. My friend also has 95 pandas. My sister also has 59 trout. I also have 56 huawei pura 70 pro+ mobiles (here is why I have these many: initially I had 55 of them, then I lost 49 of them, but then I got another 61 of them, but then I lost 11 of them, so at the end I am left with 56 of them). My uncle also has 42 motorola mobiles. My sister also has 96 congas. My brother also has 59 butterflys. My father also has 30 tars. My sister also has 3 synthesizer keyboards. My brother also has 23 reindeer. I also have 46 samsung galaxy a15 mobiles (here is why I have these many: initially I had 100 of them, then I lost 29 of them, but then I got another 23 of them, but then I lost 48 of them, so at the end I am left with 46 of them). My grandmother also has 89 foxes. My mother also has 46 iguanas. My brother also has 86 turtles. My sister also has 51 harps. I also have 72 mbiras (very happy to have them). My uncle also has 53 quails. I also have 25 echidnas (they are great). What is the sum of the total number of animals/insects and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:040", "request": "My friend has 16 honda passport cars. My mother has 59 ginger gold apples. I have 12 breadfruits (here is why I have these many: initially I had 94 of them, then I lost 89 of them, but then I got another 100 of them, but then I lost 93 of them, so at the end I am left with 12 of them). My brother has 24 double bass. My friend also has 47 spartan apples. My grandmother has 91 honda hr-v cars. I also have 25 toyota prius cars (here is why I have these many: initially I had 54 of them, then I lost 11 of them, but then I got another 32 of them, but then I lost 50 of them, so at the end I am left with 25 of them). My father has 91 durians. I also have 84 electric pianos (happt to have them). My sister has 35 toyota corolla cars. My cousin has 59 toyota c-hr cars. I also have 79 toyota highlander cars (received them last month). I also have 1 guitar (planning to have more in the future). My cousin also has 68 trombones. My friend also has 45 n'gonis. My grandfather has 34 kotoes. I also have 8 tesla model s cars (it is a funny story how I have 8 of them: initially I had 64, then I also got another 30 making it a total of 94, then I got another 96 making it a total of 190, but then I lost 182 of them so eventually I am left with 8 of them now). My cousin also has 60 elderberryoranges. My sister also has 11 audi a6 cars. I also have 9 lemons (I do not think I need this much). My uncle has 19 honeycrisp apples. I also have 76 blueberrys (it is a funny story how I have 76 of them: initially I had 38, then I also got another 71 making it a total of 109, then I got another 36 making it a total of 145, but then I lost 69 of them so eventually I am left with 76 of them now). My sister also has 52 bass guitars. My cousin also has 1 bansuri. My sister also has 66 quinces. My grandfather also has 47 subaru ascent cars. My father also has 92 autumn royal grapes. My brother also has 68 theremins. I also have 88 nectarines (it is a funny story how I have 88 of them: initially I had 71, then I also got another 79 making it a total of 150, then I got another 56 making it a total of 206, but then I lost 118 of them so eventually I am left with 88 of them now). I also have 69 nissan frintier cars (received them yesterday). My mother also has 77 ukuleles. My aunt has 66 syrah grapes. My grandfather also has 5 sazzes. My brother also has 54 ford edge cars. I also have 90 nissan murano cars (here is why I have these many: initially I had 79 of them, then I lost 69 of them, but then I got another 98 of them, but then I lost 18 of them, so at the end I am left with 90 of them). I also have 11 autoharps (here is why I have these many: initially I had 59 of them, then I lost 33 of them, but then I got another 53 of them, but then I lost 68 of them, so at the end I am left with 11 of them). I also have 36 trumpets (here is why I have these many: initially I had 21 of them, then I lost 19 of them, but then I got another 63 of them, but then I lost 29 of them, so at the end I am left with 36 of them). My mother also has 86 plums. I also have 15 mazda cx-50 cars (feeling great about this). My grandmother also has 57 mazda3 cars. My mother also has 71 hyundai elantra cars. I also have 58 harps (it is a funny story how I have 58 of them: initially I had 88, then I also got another 97 making it a total of 185, then I got another 88 making it a total of 273, but then I lost 215 of them so eventually I am left with 58 of them now). My father also has 94 watermelons. My father also has 58 harmonicas. I also have 68 mulberrys (feeling great about this). I also have 9 guavas (here is why I have these many: initially I had 38 of them, then I lost 23 of them, but then I got another 32 of them, but then I lost 38 of them, so at the end I am left with 9 of them). My brother also has 4 dodge challenger cars. My uncle also has 85 banjoes. My mother also has 8 electric violins. My uncle also has 44 nissan armada cars. I also have 80 buick enclave cars (received them last week). My grandfather also has 41 clementinefigs. I also have 90 pinot noir grapes (I like these a lot). I also have 53 cotton candy grapes (it is a funny story how I have 53 of them: initially I had 55, then I also got another 16 making it a total of 71, then I got another 96 making it a total of 167, but then I lost 114 of them so eventually I am left with 53 of them now). I also have 71 envy apples (very happy to have them). My grandfather also has 14 lutes. I also have 34 panpipes (here is why I have these many: initially I had 81 of them, then I lost 33 of them, but then I got another 80 of them, but then I lost 94 of them, so at the end I am left with 34 of them). My grandfather also has 90 toyota tacoma cars. I also have 50 honda accord cars (it is a funny story how I have 50 of them: initially I had 68, then I also got another 100 making it a total of 168, then I got another 100 making it a total of 268, but then I lost 218 of them so eventually I am left with 50 of them now). My father also has 84 hyundai santa fe cars. I also have 67 harpsichords (it is a funny story how I have 67 of them: initially I had 18, then I also got another 93 making it a total of 111, then I got another 90 making it a total of 201, but then I lost 134 of them so eventually I am left with 67 of them now). I also have 1 soursop (received them last week). My sister also has 27 bananas. I also have 61 kalimbas (here is why I have these many: initially I had 32 of them, then I lost 23 of them, but then I got another 69 of them, but then I lost 17 of them, so at the end I am left with 61 of them). My aunt also has 21 raspberrys. I also have 49 pineapples (planning to have more in the future). My mother also has 83 pomegranates. My father also has 85 zithers. I also have 93 mazda cx-90 cars (one day, I will have more of them). My sister also has 5 toyota 4runnertoyota sequoia cars. My sister also has 98 coconuts. My sister also has 54 rebecs. I also have 8 accordions (here is why I have these many: initially I had 75 of them, then I lost 72 of them, but then I got another 54 of them, but then I lost 49 of them, so at the end I am left with 8 of them). My friend also has 49 flutes. I also have 78 bongos (planning to have more in the future). I also have 35 kazoos (feeling great about this). My brother also has 50 bassoons. My mother also has 60 nissan pathfinder cars. What is the absolute difference of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:041", "request": "My brother has 69 bagpipes. My father has 41 quinces. My grandfather has 90 gala apples. My father also has 52 elderberryoranges. My cousin has 37 harps. I have 45 vibraphone, steelpans (I do not think I need this much). My mother has 64 hyundai santa fe cars. I also have 11 cantaloupes (feeling good about this). I also have 46 starfruits (they are great). My mother also has 85 n'gonis. My aunt has 40 honeydews. I also have 38 nissan ariya cars (received them yesterday). My aunt also has 34 nissan murano cars. My father also has 31 dodge challenger cars. My aunt also has 43 hyundai elantra cars. I also have 32 cotton candy grapes (it is a funny story how I have 32 of them: initially I had 97, then I also got another 89 making it a total of 186, then I got another 47 making it a total of 233, but then I lost 201 of them so eventually I am left with 32 of them now). My brother also has 4 nissan titan cars. I also have 42 kazoos (it is a funny story how I have 42 of them: initially I had 54, then I also got another 84 making it a total of 138, then I got another 70 making it a total of 208, but then I lost 166 of them so eventually I am left with 42 of them now). My uncle has 5 dates. My uncle also has 61 toyota prius cars. I also have 74 sazzes (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 88 of them, but then I lost 16 of them, so at the end I am left with 74 of them). I also have 31 toyota 4runnertoyota sequoia cars (planning to have more in the future). My sister has 48 honda cr-v cars. I also have 9 harmonicas (here is why I have these many: initially I had 31 of them, then I lost 15 of them, but then I got another 57 of them, but then I lost 64 of them, so at the end I am left with 9 of them). My friend has 24 tambourines. I also have 70 accordions (it is a funny story how I have 70 of them: initially I had 29, then I also got another 92 making it a total of 121, then I got another 35 making it a total of 156, but then I lost 86 of them so eventually I am left with 70 of them now). I also have 19 nebbiolo grapes (I am in love with them). My uncle also has 59 mazda3 cars. My brother also has 57 ocarinas. I also have 37 xylophones (I really like them). My sister also has 97 electric guitars. My grandmother has 59 nissan altima cars. My grandfather also has 55 toyota camry cars. My mother also has 96 pomegranates. I also have 95 ouds (I like these a lot). I also have 52 recorders (here is why I have these many: initially I had 71 of them, then I lost 23 of them, but then I got another 96 of them, but then I lost 92 of them, so at the end I am left with 52 of them). I also have 50 honda passport cars (here is why I have these many: initially I had 86 of them, then I lost 78 of them, but then I got another 67 of them, but then I lost 25 of them, so at the end I am left with 50 of them). I also have 10 toyota c-hr cars (it is a funny story how I have 10 of them: initially I had 46, then I also got another 41 making it a total of 87, then I got another 64 making it a total of 151, but then I lost 141 of them so eventually I am left with 10 of them now). I also have 81 grenache grapes (one day, I will have more of them). I also have 74 congas (it is a funny story how I have 74 of them: initially I had 68, then I also got another 24 making it a total of 92, then I got another 98 making it a total of 190, but then I lost 116 of them so eventually I am left with 74 of them now). My father also has 93 mazda2 cars. My brother also has 86 clavichords. My grandfather also has 38 fuji apples. I also have 52 timpanis (received them last month). My cousin also has 27 autoharps. My aunt also has 73 watermelons. My friend also has 90 organs. I also have 44 spartan apples (maybe I just need some of them). My sister also has 47 ukuleles. My brother also has 89 jazz apples. I also have 17 honda accord cars (one day, I will have more of them). I also have 5 bansuris (it is a funny story how I have 5 of them: initially I had 12, then I also got another 49 making it a total of 61, then I got another 100 making it a total of 161, but then I lost 156 of them so eventually I am left with 5 of them now). I also have 73 cherrys (feeling good about this). My uncle also has 89 nissan pathfinder cars. My uncle also has 44 toyota sienna cars. I also have 3 bouzoukis (I like these a lot). I also have 5 sruti boxes (thrilled to have these). My mother also has 18 nissan sentra cars. I also have 81 pinot noir grapes (feeling great about this). I also have 3 nissan kicks cars (hope to have more in the future). My sister also has 11 mazda cx-80 cars. I also have 77 clementinefigs (maybe I just need some of them). My friend also has 90 zithers. My grandfather also has 26 lychees. My aunt also has 19 subaru impreza cars. My grandfather also has 18 double bass. My aunt also has 85 violins. I also have 17 nectarines (it is a funny story how I have 17 of them: initially I had 96, then I also got another 12 making it a total of 108, then I got another 69 making it a total of 177, but then I lost 160 of them so eventually I am left with 17 of them now). I also have 55 french horns (here is why I have these many: initially I had 23 of them, then I lost 15 of them, but then I got another 61 of them, but then I lost 14 of them, so at the end I am left with 55 of them). My uncle also has 96 clarinets. My mother also has 91 bananas. My grandmother also has 33 mangoes. I also have 55 lutes (received them yesterday). My father also has 73 pianos. My aunt also has 45 pears. My cousin also has 4 trumpets. My sister also has 49 plums. I also have 13 theremins (happt to have them). My brother also has 80 pink lady apples. I also have 38 honeycrisp apples (received them yesterday). I also have 83 guitars (here is why I have these many: initially I had 36 of them, then I lost 28 of them, but then I got another 80 of them, but then I lost 5 of them, so at the end I am left with 83 of them). My aunt also has 22 cranberrys. My friend also has 96 strawberrys. My grandmother also has 74 tamburas. I also have 61 nissan rogue cars (it is a funny story how I have 61 of them: initially I had 42, then I also got another 52 making it a total of 94, then I got another 95 making it a total of 189, but then I lost 128 of them so eventually I am left with 61 of them now). My cousin also has 71 ford edge cars. My sister also has 21 raspberrys. My friend also has 29 pineapples. I also have 97 kotoes (here is why I have these many: initially I had 50 of them, then I lost 27 of them, but then I got another 97 of them, but then I lost 23 of them, so at the end I am left with 97 of them). My sister also has 70 muscat grapes. My grandfather also has 74 guzhengs. My brother also has 13 plantains. My friend also has 94 toyota tundra cars. My brother also has 45 lemons. I also have 81 honda element cars (here is why I have these many: initially I had 81 of them, then I lost 36 of them, but then I got another 89 of them, but then I lost 53 of them, so at the end I am left with 81 of them). I also have 36 maracas (I am in love with them). I also have 88 bassoons (it is a funny story how I have 88 of them: initially I had 54, then I also got another 22 making it a total of 76, then I got another 70 making it a total of 146, but then I lost 58 of them so eventually I am left with 88 of them now). I also have 53 merlot grapes (it is a funny story how I have 53 of them: initially I had 82, then I also got another 95 making it a total of 177, then I got another 33 making it a total of 210, but then I lost 157 of them so eventually I am left with 53 of them now). What is the sum of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:045", "request": "My brother has 5 rebecs. My father has 79 trombones. I have 89 riesling grapes (I really like them). My grandfather has 67 toyota tundra cars. My grandfather also has 50 honda prologuq cars. My grandfather also has 75 plums. I also have 50 saxophones (here is why I have these many: initially I had 39 of them, then I lost 22 of them, but then I got another 47 of them, but then I lost 14 of them, so at the end I am left with 50 of them). My friend has 65 honda pilot cars. My father also has 59 pineapples. My mother has 58 mridangams. My grandfather also has 17 nissan kicks cars. I also have 56 nissan leaf cars (it is a funny story how I have 56 of them: initially I had 92, then I also got another 97 making it a total of 189, then I got another 59 making it a total of 248, but then I lost 192 of them so eventually I am left with 56 of them now). My aunt has 26 starfruits. I also have 57 dragonfruits (received them yesterday). My grandfather also has 19 subaru impreza cars. I also have 89 honda passport cars (here is why I have these many: initially I had 71 of them, then I lost 63 of them, but then I got another 95 of them, but then I lost 14 of them, so at the end I am left with 89 of them). My mother also has 33 chardonnay grapes. I also have 44 honda civic cars (I like these a lot). My father also has 8 electric pianos. My friend also has 41 subaru outback cars. I also have 78 elderberryoranges (it is a funny story how I have 78 of them: initially I had 78, then I also got another 20 making it a total of 98, then I got another 63 making it a total of 161, but then I lost 83 of them so eventually I am left with 78 of them now). My grandmother has 20 toyota 4runnertoyota sequoia cars. My friend also has 30 vibraphone, steelpans. My grandmother also has 25 panpipes. My mother also has 40 bouzoukis. My cousin has 63 kotoes. My cousin also has 66 rababs. I also have 98 nectarines (very happy to have them). My grandfather also has 72 spartan apples. My aunt also has 81 hammered dulcimers. My cousin also has 12 flutes. My brother also has 76 blueberrys. My friend also has 27 toyota highlander cars. My brother also has 68 lemons. I also have 91 pink lady apples (maybe I just need some of them). I also have 84 soursops (hope to have more in the future). My brother also has 71 violins. I also have 48 shamisens (one day, I will have more of them). My father also has 13 accordions. I also have 93 honeydews (here is why I have these many: initially I had 23 of them, then I lost 10 of them, but then I got another 82 of them, but then I lost 2 of them, so at the end I am left with 93 of them). I also have 91 mandolins (I really like them). I also have 37 tesla model s cars (it is a funny story how I have 37 of them: initially I had 54, then I also got another 60 making it a total of 114, then I got another 42 making it a total of 156, but then I lost 119 of them so eventually I am left with 37 of them now). My father also has 57 kiwis. My friend also has 21 jackfruits. I also have 86 pomegranates (it is a funny story how I have 86 of them: initially I had 45, then I also got another 91 making it a total of 136, then I got another 99 making it a total of 235, but then I lost 149 of them so eventually I am left with 86 of them now). I also have 21 grapefruits (planning to have more in the future). My aunt also has 54 watermelons. I also have 13 pipas (very happy to have them). My grandmother also has 30 cantaloupes. My mother also has 9 honeycrisp apples. My grandmother also has 24 setars. My mother also has 16 plantains. My father also has 85 maracas. My uncle has 18 castanets. My mother also has 89 autoharps. My brother also has 15 cranberrys. My sister has 89 toyota camry cars. My father also has 7 fuji apples. I also have 11 mulberrys (I really like them). My cousin also has 48 banjoes. I also have 74 envy apples (maybe I just need some of them). My sister also has 35 toyota tacoma cars. I also have 58 durians (thrilled to have these). I also have 85 honda cr-v cars (thrilled to have these). My aunt also has 93 mazda mx-30 cars. My aunt also has 63 jonagold apples. My cousin also has 60 hyundai elantra cars. My mother also has 10 bansuris. I also have 90 honda insight cars (it is a funny story how I have 90 of them: initially I had 46, then I also got another 80 making it a total of 126, then I got another 95 making it a total of 221, but then I lost 131 of them so eventually I am left with 90 of them now). My grandfather also has 92 mbiras. I also have 64 nissan ariya cars (it is a funny story how I have 64 of them: initially I had 41, then I also got another 52 making it a total of 93, then I got another 24 making it a total of 117, but then I lost 53 of them so eventually I am left with 64 of them now). My aunt also has 44 mazda cx-80 cars. I also have 61 tablas (feeling great about this). My uncle also has 15 erhus. I also have 67 dulcimers (it is a funny story how I have 67 of them: initially I had 82, then I also got another 61 making it a total of 143, then I got another 22 making it a total of 165, but then I lost 98 of them so eventually I am left with 67 of them now). I also have 75 shehnais (received them yesterday). I also have 46 honda hr-v cars (it is a funny story how I have 46 of them: initially I had 70, then I also got another 57 making it a total of 127, then I got another 21 making it a total of 148, but then I lost 102 of them so eventually I am left with 46 of them now). My friend also has 59 toyota sienna cars. My grandfather also has 54 mazda cx-5 cars. My friend also has 85 nissan altima cars. My friend also has 76 clementinefigs. I also have 46 mazda cx-30 cars (it is a funny story how I have 46 of them: initially I had 89, then I also got another 15 making it a total of 104, then I got another 74 making it a total of 178, but then I lost 132 of them so eventually I am left with 46 of them now). My grandfather also has 48 kalimbas. My mother also has 98 recorders. My uncle also has 90 pinot noir grapes. My grandfather also has 37 nissan titan cars. My father also has 49 electric guitars. My mother also has 84 mazda cx-90 cars. I also have 45 muscat grapes (happt to have them). My grandfather also has 28 harmonicas. My uncle also has 31 pianos. My grandmother also has 58 honda cr-z cars. My father also has 92 glockenspiels. My friend also has 36 mazda cx-50 cars. I also have 44 strawberrys (here is why I have these many: initially I had 14 of them, then I lost 10 of them, but then I got another 58 of them, but then I lost 18 of them, so at the end I am left with 44 of them). I also have 43 coconuts (very happy to have them). My grandfather also has 69 theremins. I also have 69 raspberrys (here is why I have these many: initially I had 93 of them, then I lost 27 of them, but then I got another 22 of them, but then I lost 19 of them, so at the end I am left with 69 of them). I also have 6 gala apples (it is a funny story how I have 6 of them: initially I had 92, then I also got another 54 making it a total of 146, then I got another 23 making it a total of 169, but then I lost 163 of them so eventually I am left with 6 of them now). I also have 59 papayas (it is a funny story how I have 59 of them: initially I had 13, then I also got another 74 making it a total of 87, then I got another 64 making it a total of 151, but then I lost 92 of them so eventually I am left with 59 of them now). I also have 5 drums (it is a funny story how I have 5 of them: initially I had 76, then I also got another 39 making it a total of 115, then I got another 98 making it a total of 213, but then I lost 208 of them so eventually I am left with 5 of them now). I also have 68 xylophones (I do not think I need this much). I also have 7 n'gonis (it is a funny story how I have 7 of them: initially I had 58, then I also got another 96 making it a total of 154, then I got another 32 making it a total of 186, but then I lost 179 of them so eventually I am left with 7 of them now). My uncle also has 36 jazz apples. My father also has 77 merlot grapes. My uncle also has 6 zithers. My brother also has 46 dodge challenger cars. My uncle also has 25 autumn royal grapes. I also have 81 syrah grapes (received them last month). My grandmother also has 62 buick enclave cars. I also have 72 mazda2 cars (it is a funny story how I have 72 of them: initially I had 42, then I also got another 20 making it a total of 62, then I got another 68 making it a total of 130, but then I lost 58 of them so eventually I am left with 72 of them now). I also have 56 quinces (here is why I have these many: initially I had 51 of them, then I lost 21 of them, but then I got another 37 of them, but then I lost 11 of them, so at the end I am left with 56 of them). I also have 89 apricots (feeling good about this). What is the sum of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:046", "request": "I have 87 toyota avalon cars (here is why I have these many: initially I had 40 of them, then I lost 31 of them, but then I got another 82 of them, but then I lost 4 of them, so at the end I am left with 87 of them). My uncle has 77 honda cr-z cars. My friend has 53 toyota highlander cars. My friend also has 91 banjoes. My cousin has 32 setars. I also have 23 pink lady apples (I am in love with them). My cousin also has 12 nissan rogue cars. My uncle also has 26 bouzoukis. My friend also has 48 djembes. I also have 13 didgeridoos (they were given to me as a gift). My friend also has 7 electric drums. I also have 52 jazz apples (I like these a lot). I also have 96 xylophones (received them last month). My aunt has 6 buick enclave cars. My aunt also has 81 synthesizer keyboards. My uncle also has 45 tambourines. My mother has 95 hyundai elantra cars. My aunt also has 57 peaches. My aunt also has 18 fuji apples. I also have 11 ocarinas (it is a funny story how I have 11 of them: initially I had 18, then I also got another 31 making it a total of 49, then I got another 33 making it a total of 82, but then I lost 71 of them so eventually I am left with 11 of them now). I also have 4 castanets (very happy to have them). I also have 88 mazda cx-90 cars (it is a funny story how I have 88 of them: initially I had 18, then I also got another 27 making it a total of 45, then I got another 95 making it a total of 140, but then I lost 52 of them so eventually I am left with 88 of them now). I also have 37 sruti boxes (it is a funny story how I have 37 of them: initially I had 79, then I also got another 68 making it a total of 147, then I got another 46 making it a total of 193, but then I lost 156 of them so eventually I am left with 37 of them now). My friend also has 96 tars. My brother has 17 nissan ariya cars. My mother also has 46 gala apples. My brother also has 41 trumpets. My grandfather has 91 subaru outback cars. I also have 22 riesling grapes (here is why I have these many: initially I had 36 of them, then I lost 16 of them, but then I got another 91 of them, but then I lost 89 of them, so at the end I am left with 22 of them). I also have 37 ukuleles (it is a funny story how I have 37 of them: initially I had 74, then I also got another 72 making it a total of 146, then I got another 79 making it a total of 225, but then I lost 188 of them so eventually I am left with 37 of them now). My brother also has 15 kazoos. I also have 52 muscat grapes (very happy to have them). My father has 73 toyota sienna cars. My sister has 80 harps. I also have 44 mulberrys (it is a funny story how I have 44 of them: initially I had 22, then I also got another 97 making it a total of 119, then I got another 39 making it a total of 158, but then I lost 114 of them so eventually I am left with 44 of them now). My father also has 72 honda pilot cars. My father also has 97 kotoes. My mother also has 77 toyota prius cars. I also have 80 audi a6 cars (I do not think I need this much). I also have 8 breadfruits (very happy to have them). I also have 27 quinces (it is a funny story how I have 27 of them: initially I had 72, then I also got another 92 making it a total of 164, then I got another 100 making it a total of 264, but then I lost 237 of them so eventually I am left with 27 of them now). My mother also has 2 kalimbas. My cousin also has 91 dates. My friend also has 88 bananas. I also have 27 toyota c-hr cars (I do not think I need this much). My sister also has 47 erhus. I also have 65 rebecs (feeling great about this). My aunt also has 9 cherrys. My brother also has 11 plums. My friend also has 16 electric violins. I also have 64 nissan leaf cars (here is why I have these many: initially I had 70 of them, then I lost 18 of them, but then I got another 70 of them, but then I lost 58 of them, so at the end I am left with 64 of them). My father also has 50 double bass. I also have 39 vibraphone, steelpans (I am in love with them). My father also has 73 mazda cx-50 cars. I also have 55 starfruits (it is a funny story how I have 55 of them: initially I had 13, then I also got another 17 making it a total of 30, then I got another 56 making it a total of 86, but then I lost 31 of them so eventually I am left with 55 of them now). I also have 75 cotton candy grapes (here is why I have these many: initially I had 39 of them, then I lost 17 of them, but then I got another 96 of them, but then I lost 43 of them, so at the end I am left with 75 of them). My mother also has 89 bagpipes. I also have 77 ford edge cars (here is why I have these many: initially I had 21 of them, then I lost 17 of them, but then I got another 87 of them, but then I lost 14 of them, so at the end I am left with 77 of them). I also have 56 bass guitars (it is a funny story how I have 56 of them: initially I had 72, then I also got another 46 making it a total of 118, then I got another 95 making it a total of 213, but then I lost 157 of them so eventually I am left with 56 of them now). My sister also has 9 ginger gold apples. My brother also has 22 mazda cx-80 cars. I also have 94 dragonfruits (here is why I have these many: initially I had 21 of them, then I lost 10 of them, but then I got another 91 of them, but then I lost 8 of them, so at the end I am left with 94 of them). My uncle also has 65 raspberrys. My cousin also has 61 french horns. My aunt also has 1 maracas. My friend also has 38 coconuts. My cousin also has 3 honda prologuq cars. My grandmother has 44 pineapples. My brother also has 28 pinot noir grapes. I also have 19 ambrosia apples (it is a funny story how I have 19 of them: initially I had 43, then I also got another 31 making it a total of 74, then I got another 34 making it a total of 108, but then I lost 89 of them so eventually I am left with 19 of them now). I also have 26 electric pianos (very happy to have them). My father also has 95 autumn royal grapes. I also have 17 rababs (it is a funny story how I have 17 of them: initially I had 45, then I also got another 46 making it a total of 91, then I got another 12 making it a total of 103, but then I lost 86 of them so eventually I am left with 17 of them now). My mother also has 60 tesla model s cars. I also have 78 n'gonis (I really like them). My father also has 89 strawberrys. My uncle also has 18 papayas. My father also has 15 clementinefigs. I also have 50 accordions (happt to have them). My friend also has 37 lychees. My mother also has 95 mazda6 cars. I also have 61 mazda cx-30 cars (received them last week). My grandmother also has 97 syrah grapes. I also have 23 chardonnay grapes (here is why I have these many: initially I had 13 of them, then I lost 11 of them, but then I got another 60 of them, but then I lost 39 of them, so at the end I am left with 23 of them). I also have 38 envy apples (they are great). My aunt also has 13 guzhengs. I also have 5 electric guitars (they were given to me as a gift). My sister also has 85 subaru ascent cars. I also have 80 honeycrisp apples (thrilled to have these). I also have 93 flutes (here is why I have these many: initially I had 30 of them, then I lost 12 of them, but then I got another 98 of them, but then I lost 23 of them, so at the end I am left with 93 of them). My grandfather also has 96 mbiras. My aunt also has 81 honda hr-v cars. My friend also has 57 soursops. My grandfather also has 59 honda cr-v cars. My uncle also has 32 zithers. My friend also has 65 sitars. I also have 30 pennywhistles (planning to have more in the future). My grandfather also has 19 apricots. I also have 2 mridangams (it is a funny story how I have 2 of them: initially I had 82, then I also got another 69 making it a total of 151, then I got another 21 making it a total of 172, but then I lost 170 of them so eventually I am left with 2 of them now). My sister also has 13 nissan altima cars. My grandmother also has 20 toyota rav4 cars. My grandfather also has 92 koras. I also have 84 grapefruits (here is why I have these many: initially I had 73 of them, then I lost 30 of them, but then I got another 99 of them, but then I lost 58 of them, so at the end I am left with 84 of them). My grandmother also has 92 shamisens. I also have 58 honda odyssey cars (it is a funny story how I have 58 of them: initially I had 60, then I also got another 44 making it a total of 104, then I got another 17 making it a total of 121, but then I lost 63 of them so eventually I am left with 58 of them now). My cousin also has 10 honda element cars. My friend also has 28 volkswagen golf cars. I also have 78 mangoes (it is a funny story how I have 78 of them: initially I had 62, then I also got another 87 making it a total of 149, then I got another 92 making it a total of 241, but then I lost 163 of them so eventually I am left with 78 of them now). I also have 17 marimbas (they are great). My sister also has 41 clavichords. My brother also has 95 electric bass. What is the absolute difference of the total number of musical instruments and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:047", "request": "My grandfather has 51 electric pianos. My father has 94 sheep. I have 91 coconuts (it is a funny story how I have 91 of them: initially I had 43, then I also got another 35 making it a total of 78, then I got another 92 making it a total of 170, but then I lost 79 of them so eventually I am left with 91 of them now). My grandfather also has 25 jonagold apples. My father also has 13 breadfruits. My grandfather also has 46 flys. My friend has 56 owls. I also have 82 chameleons (happt to have them). I also have 47 aardvarks (happt to have them). My brother has 70 pinot noir grapes. My cousin has 20 pianos. I also have 92 bats (here is why I have these many: initially I had 44 of them, then I lost 11 of them, but then I got another 84 of them, but then I lost 25 of them, so at the end I am left with 92 of them). My mother has 72 balafons. My friend also has 54 plantains. My friend also has 54 prairie dogs. I also have 32 shamisens (feeling great about this). My sister has 79 mulberrys. I also have 28 tanpuras (maybe I just need some of them). I also have 34 ladybugs (thrilled to have these). I also have 93 ukuleles (I am in love with them). My grandmother has 12 harmonicas. I also have 87 cobras (it is a funny story how I have 87 of them: initially I had 88, then I also got another 80 making it a total of 168, then I got another 86 making it a total of 254, but then I lost 167 of them so eventually I am left with 87 of them now). I also have 30 nebbiolo grapes (it is a funny story how I have 30 of them: initially I had 31, then I also got another 41 making it a total of 72, then I got another 30 making it a total of 102, but then I lost 72 of them so eventually I am left with 30 of them now). I also have 7 deer (it is a funny story how I have 7 of them: initially I had 17, then I also got another 25 making it a total of 42, then I got another 58 making it a total of 100, but then I lost 93 of them so eventually I am left with 7 of them now). I also have 70 papayas (I like these a lot). I also have 89 mandolins (here is why I have these many: initially I had 80 of them, then I lost 55 of them, but then I got another 80 of them, but then I lost 16 of them, so at the end I am left with 89 of them). My mother also has 71 tigers. My sister also has 55 hens. I also have 40 electric guitars (thrilled to have these). I also have 81 merlot grapes (it is a funny story how I have 81 of them: initially I had 27, then I also got another 23 making it a total of 50, then I got another 88 making it a total of 138, but then I lost 57 of them so eventually I am left with 81 of them now). My brother also has 2 kangaroos. My cousin also has 86 cod. I also have 19 bansuris (here is why I have these many: initially I had 19 of them, then I lost 17 of them, but then I got another 87 of them, but then I lost 70 of them, so at the end I am left with 19 of them). My father also has 98 cattles. My brother also has 91 tambourines. My aunt has 57 salmon. My sister also has 12 jazz apples. My brother also has 5 zithers. My mother also has 17 trumpets. My grandmother also has 91 autumn royal grapes. I also have 18 cantaloupes (it is a funny story how I have 18 of them: initially I had 69, then I also got another 75 making it a total of 144, then I got another 70 making it a total of 214, but then I lost 196 of them so eventually I am left with 18 of them now). My sister also has 59 wolves. My grandfather also has 51 djembes. I also have 48 sruti boxes (here is why I have these many: initially I had 15 of them, then I lost 13 of them, but then I got another 79 of them, but then I lost 33 of them, so at the end I am left with 48 of them). My grandfather also has 16 parrots. My friend also has 13 honeycrisp apples. My grandfather also has 89 lions. My sister also has 57 python snakes. My friend also has 92 moose. My sister also has 28 macaws. I also have 45 harpsichords (they are great). I also have 80 ginger gold apples (maybe I just need some of them). My grandfather also has 47 peaches. My grandmother also has 28 ferrets. My friend also has 43 mangoes. My friend also has 17 clarinets. My grandmother also has 82 bouzoukis. My mother also has 26 fuji apples. My cousin also has 22 badgers. My father also has 80 pomegranates. I also have 24 oboes (I really like them). My father also has 60 ducks. My sister also has 78 goats. My uncle has 38 syrah grapes. I also have 2 cows (I am in love with them). My mother also has 75 yaks. My brother also has 98 swans. I also have 55 autoharps (it is a funny story how I have 55 of them: initially I had 98, then I also got another 28 making it a total of 126, then I got another 48 making it a total of 174, but then I lost 119 of them so eventually I am left with 55 of them now). My aunt also has 80 rebecs. My father also has 98 mbiras. My uncle also has 92 giraffes. My father also has 78 pineapples. My friend also has 58 electric drums. I also have 40 harps (here is why I have these many: initially I had 62 of them, then I lost 42 of them, but then I got another 36 of them, but then I lost 16 of them, so at the end I am left with 40 of them). My grandmother also has 96 electric bass. My grandmother also has 51 dulcimers. I also have 41 xylophones (thrilled to have these). My brother also has 28 pink lady apples. I also have 46 rhinoceros (here is why I have these many: initially I had 50 of them, then I lost 21 of them, but then I got another 51 of them, but then I lost 34 of them, so at the end I am left with 46 of them). My uncle also has 79 accordions. My cousin also has 61 fish. My grandfather also has 81 grenache grapes. My father also has 4 shrews. My sister also has 39 elderberryoranges. My grandfather also has 49 flamingoes. I also have 99 falcons (thrilled to have these). My sister also has 55 jackfruits. I also have 74 elephants (it is a funny story how I have 74 of them: initially I had 90, then I also got another 83 making it a total of 173, then I got another 79 making it a total of 252, but then I lost 178 of them so eventually I am left with 74 of them now). My grandfather also has 95 soursops. My sister also has 55 walrus. I also have 77 riesling grapes (it is a funny story how I have 77 of them: initially I had 45, then I also got another 92 making it a total of 137, then I got another 81 making it a total of 218, but then I lost 141 of them so eventually I am left with 77 of them now). I also have 17 dates (here is why I have these many: initially I had 33 of them, then I lost 27 of them, but then I got another 19 of them, but then I lost 8 of them, so at the end I am left with 17 of them). My uncle also has 38 snails. My friend also has 42 rabbits. I also have 65 mallards (here is why I have these many: initially I had 82 of them, then I lost 27 of them, but then I got another 37 of them, but then I lost 27 of them, so at the end I am left with 65 of them). My cousin also has 52 antelopes. I also have 43 honeydews (here is why I have these many: initially I had 54 of them, then I lost 18 of them, but then I got another 95 of them, but then I lost 88 of them, so at the end I am left with 43 of them). I also have 41 lemurs (received them last month). My sister also has 79 guzhengs. My aunt also has 77 marimbas. My father also has 35 toads. My brother also has 56 gala apples. My mother also has 5 apes. My friend also has 28 pears. My uncle also has 31 crows. My brother also has 5 muscat grapes. I also have 75 strawberrys (here is why I have these many: initially I had 64 of them, then I lost 60 of them, but then I got another 75 of them, but then I lost 4 of them, so at the end I am left with 75 of them). My grandfather also has 62 reindeer. My mother also has 78 skunks. My grandmother also has 85 pandas. My cousin also has 1 seahorse. My brother also has 72 trout. My aunt also has 91 newts. I also have 19 tars (I like these a lot). My grandfather also has 50 trombones. My grandfather also has 29 lutes. I also have 23 guitars (it is a funny story how I have 23 of them: initially I had 35, then I also got another 39 making it a total of 74, then I got another 80 making it a total of 154, but then I lost 131 of them so eventually I am left with 23 of them now). My cousin also has 96 shrimps. What is the absolute difference of the total number of musical instruments and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:052", "request": "I have 43 baboons (it is a funny story how I have 43 of them: initially I had 75, then I also got another 22 making it a total of 97, then I got another 15 making it a total of 112, but then I lost 69 of them so eventually I am left with 43 of them now). My brother has 18 toyota tundra cars. My father has 83 electric pianos. I also have 38 tars (here is why I have these many: initially I had 90 of them, then I lost 18 of them, but then I got another 40 of them, but then I lost 74 of them, so at the end I am left with 38 of them). I also have 39 n'gonis (it is a funny story how I have 39 of them: initially I had 61, then I also got another 65 making it a total of 126, then I got another 50 making it a total of 176, but then I lost 137 of them so eventually I am left with 39 of them now). I also have 82 nissan murano cars (it is a funny story how I have 82 of them: initially I had 46, then I also got another 87 making it a total of 133, then I got another 38 making it a total of 171, but then I lost 89 of them so eventually I am left with 82 of them now). I also have 5 stingrays (received them last month). My friend has 54 bass guitars. I also have 93 toyota corolla cars (I really like them). My cousin has 16 mazda3 cars. My uncle has 6 nissan ariya cars. My father also has 68 bongos. I also have 13 ants (received them last week). My cousin also has 6 electric cellos. My friend also has 30 opossums. My mother has 53 gorillas. My sister has 21 honda accord cars. I also have 63 corgis (received them last month). I also have 25 mazda2 cars (they were given to me as a gift). My sister also has 7 clarinets. My cousin also has 4 honda pilot cars. I also have 47 french horns (feeling good about this). I also have 32 deer (very happy to have them). My friend also has 58 xylophones. My grandfather has 77 newts. My cousin also has 28 subaru outback cars. My mother also has 83 balafons. My father also has 98 banjoes. My sister also has 46 toyota avalon cars. I also have 92 groundhogs (they are great). My grandfather also has 32 crows. My grandmother has 25 cows. My friend also has 22 rabbits. I also have 26 nissan maxima cars (here is why I have these many: initially I had 83 of them, then I lost 67 of them, but then I got another 65 of them, but then I lost 55 of them, so at the end I am left with 26 of them). My brother also has 71 panpipes. I also have 95 mules (feeling great about this). My grandfather also has 49 kazoos. My father also has 29 dolphins. My cousin also has 96 nissan rogue cars. My uncle also has 74 rababs. My grandfather also has 57 rhinoceros. My aunt has 81 rebecs. My brother also has 83 nissan titan cars. My uncle also has 29 subaru ascent cars. I also have 66 ocarinas (they are great). My brother also has 30 mazda mx-30 cars. I also have 94 ouds (I do not think I need this much). My brother also has 50 parrots. My grandmother also has 99 honda passport cars. My grandmother also has 30 electric violins. My sister also has 45 honda cr-v cars. I also have 21 toyota prius cars (happt to have them). I also have 61 honda element cars (it is a funny story how I have 61 of them: initially I had 59, then I also got another 42 making it a total of 101, then I got another 70 making it a total of 171, but then I lost 110 of them so eventually I am left with 61 of them now). My mother also has 62 otters. My sister also has 28 dodge challenger cars. My grandfather also has 97 subaru impreza cars. I also have 41 trombones (here is why I have these many: initially I had 33 of them, then I lost 22 of them, but then I got another 86 of them, but then I lost 56 of them, so at the end I am left with 41 of them). My sister also has 64 prairie dogs. My friend also has 17 marmots. My uncle also has 94 seals. I also have 33 ford edge cars (here is why I have these many: initially I had 93 of them, then I lost 55 of them, but then I got another 18 of them, but then I lost 23 of them, so at the end I am left with 33 of them). I also have 16 turkeys (it is a funny story how I have 16 of them: initially I had 73, then I also got another 50 making it a total of 123, then I got another 58 making it a total of 181, but then I lost 165 of them so eventually I am left with 16 of them now). My sister also has 56 nissan pathfinder cars. I also have 48 nissan sentra cars (it is a funny story how I have 48 of them: initially I had 48, then I also got another 18 making it a total of 66, then I got another 93 making it a total of 159, but then I lost 111 of them so eventually I am left with 48 of them now). My cousin also has 51 toyota rav4 cars. I also have 62 toyota 4runnertoyota sequoia cars (I like these a lot). My grandfather also has 41 hummingbirds. I also have 48 clavichords (here is why I have these many: initially I had 42 of them, then I lost 25 of them, but then I got another 78 of them, but then I lost 47 of them, so at the end I am left with 48 of them). I also have 58 echidnas (one day, I will have more of them). My cousin also has 21 mandolins. My sister also has 78 kotoes. My father also has 19 armadillos. I also have 75 mazda cx-80 cars (it is a funny story how I have 75 of them: initially I had 25, then I also got another 66 making it a total of 91, then I got another 87 making it a total of 178, but then I lost 103 of them so eventually I am left with 75 of them now). My friend also has 30 snails. I also have 85 violins (maybe I just need some of them). My cousin also has 83 nissan kicks cars. My friend also has 26 theremins. My sister also has 70 sruti boxes. My aunt also has 19 honda civic cars. My brother also has 37 trout. I also have 76 kia niro cars (one day, I will have more of them). I also have 58 alligators (very happy to have them). My aunt also has 70 antelopes. My uncle also has 17 honda cr-z cars. My grandmother also has 97 mazda6 cars. I also have 85 hedgehogs (I do not think I need this much). My friend also has 95 toyota sienna cars. My friend also has 39 hyundai santa fe cars. My brother also has 93 timpanis. My aunt also has 45 foxes. My sister also has 82 hyenas. My brother also has 47 giraffes. My mother also has 98 mazda cx-5 cars. My mother also has 18 nissan armada cars. I also have 37 quails (hope to have more in the future). My uncle also has 82 swans. I also have 74 vibraphone, steelpans (it is a funny story how I have 74 of them: initially I had 60, then I also got another 80 making it a total of 140, then I got another 78 making it a total of 218, but then I lost 144 of them so eventually I am left with 74 of them now). My aunt also has 3 honda odyssey cars. My cousin also has 25 sheep. My mother also has 73 lizards. My brother also has 10 honda insight cars. I also have 8 trumpets (here is why I have these many: initially I had 87 of them, then I lost 27 of them, but then I got another 68 of them, but then I lost 120 of them, so at the end I am left with 8 of them). My mother also has 40 mridangams. I also have 1 lemur (received them yesterday). My mother also has 78 frogs. My uncle also has 75 nissan leaf cars. I also have 48 ukuleles (here is why I have these many: initially I had 99 of them, then I lost 77 of them, but then I got another 75 of them, but then I lost 49 of them, so at the end I am left with 48 of them). My brother also has 91 mazda cx-90 cars. I also have 70 goats (it is a funny story how I have 70 of them: initially I had 37, then I also got another 97 making it a total of 134, then I got another 44 making it a total of 178, but then I lost 108 of them so eventually I am left with 70 of them now). My grandmother also has 88 toyota tacoma cars. I also have 61 honda prologuq cars (it is a funny story how I have 61 of them: initially I had 100, then I also got another 30 making it a total of 130, then I got another 100 making it a total of 230, but then I lost 169 of them so eventually I am left with 61 of them now). My uncle also has 56 king cobra snakes. My grandfather also has 24 mice. My cousin also has 54 drums. I also have 21 tigers (received them last month). I also have 41 volkswagen golf cars (it is a funny story how I have 41 of them: initially I had 31, then I also got another 21 making it a total of 52, then I got another 18 making it a total of 70, but then I lost 29 of them so eventually I am left with 41 of them now). I also have 19 possums (it is a funny story how I have 19 of them: initially I had 37, then I also got another 58 making it a total of 95, then I got another 64 making it a total of 159, but then I lost 140 of them so eventually I am left with 19 of them now). My mother also has 30 macaws. My father also has 69 tablas. I also have 62 mazda cx-50 cars (here is why I have these many: initially I had 49 of them, then I lost 20 of them, but then I got another 50 of them, but then I lost 17 of them, so at the end I am left with 62 of them). My mother also has 84 nissan altima cars. I also have 45 jeep gladiator cars (feeling good about this). My cousin also has 20 pigeons. My uncle also has 51 tesla model s cars. My grandmother also has 55 vultures. I also have 83 hawks (it is a funny story how I have 83 of them: initially I had 52, then I also got another 13 making it a total of 65, then I got another 55 making it a total of 120, but then I lost 37 of them so eventually I am left with 83 of them now). My grandmother also has 26 beavers. My sister also has 22 audi a6 cars. I also have 71 electric guitars (here is why I have these many: initially I had 51 of them, then I lost 46 of them, but then I got another 98 of them, but then I lost 32 of them, so at the end I am left with 71 of them). I also have 84 tamburas (I like these a lot). My sister also has 49 ravens. I also have 27 wasps (they are great). What is the sum of the total number of musical instruments and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:055", "request": "My brother has 69 panpipes. My mother has 72 clarinets. My mother also has 85 zithers. My father has 7 bass guitars. My sister has 40 samsung galaxy a16 mobiles. My brother also has 7 nokia mobiles. I have 20 samsung galaxy c55 mobiles (it is a funny story how I have 20 of them: initially I had 43, then I also got another 34 making it a total of 77, then I got another 95 making it a total of 172, but then I lost 152 of them so eventually I am left with 20 of them now). My uncle has 25 electric guitars. My mother also has 22 honor mobiles. I also have 31 geese (I like these a lot). I also have 50 violins (here is why I have these many: initially I had 89 of them, then I lost 49 of them, but then I got another 20 of them, but then I lost 10 of them, so at the end I am left with 50 of them). My grandfather has 97 huawei pura 70 mobiles. I also have 15 bisons (it is a funny story how I have 15 of them: initially I had 93, then I also got another 97 making it a total of 190, then I got another 93 making it a total of 283, but then I lost 268 of them so eventually I am left with 15 of them now). My grandfather also has 16 meizu mobiles. My cousin has 36 doves. I also have 8 organs (feeling good about this). My mother also has 28 toads. I also have 37 bears (very happy to have them). I also have 80 accordions (it is a funny story how I have 80 of them: initially I had 82, then I also got another 57 making it a total of 139, then I got another 60 making it a total of 199, but then I lost 119 of them so eventually I am left with 80 of them now). I also have 64 crows (received them last month). My grandfather also has 7 mamba snakes. My mother also has 58 boa snakes. I also have 12 boars (I really like them). I also have 72 trout (thrilled to have these). I also have 87 flutes (they are great). I also have 91 tanpuras (one day, I will have more of them). I also have 23 apes (planning to have more in the future). My grandfather also has 96 sharks. My father also has 2 zte mobiles. My grandfather also has 13 djembes. My sister also has 52 parrots. My sister also has 70 samsung galaxy a15 mobiles. I also have 41 ferrets (I do not think I need this much). My uncle also has 38 octopus. My mother also has 12 biwas. I also have 88 yaks (here is why I have these many: initially I had 84 of them, then I lost 31 of them, but then I got another 61 of them, but then I lost 26 of them, so at the end I am left with 88 of them). My father also has 12 iphone 16 mobiles. My mother also has 21 pipas. I also have 23 electric cellos (received them yesterday). My father also has 17 bassoons. My aunt has 55 n'gonis. I also have 44 iphone 4 mobiles (received them last week). My brother also has 47 anteaters. I also have 59 huawei pura 70 ultra mobiles (they are great). My grandfather also has 21 rattlesnakes. I also have 73 vivo mobiles (maybe I just need some of them). I also have 23 marmots (feeling good about this). I also have 57 huawei nova 12i mobiles (very happy to have them). My aunt also has 32 xylophones. My friend has 91 huawei nova 12 pro mobiles. My father also has 21 iphone 13 mobiles. My grandfather also has 89 llamas. My sister also has 62 armadillos. I also have 51 sheep (it is a funny story how I have 51 of them: initially I had 23, then I also got another 85 making it a total of 108, then I got another 22 making it a total of 130, but then I lost 79 of them so eventually I am left with 51 of them now). I also have 4 opossums (it is a funny story how I have 4 of them: initially I had 35, then I also got another 18 making it a total of 53, then I got another 54 making it a total of 107, but then I lost 103 of them so eventually I am left with 4 of them now). I also have 46 trumpets (it is a funny story how I have 46 of them: initially I had 93, then I also got another 56 making it a total of 149, then I got another 88 making it a total of 237, but then I lost 191 of them so eventually I am left with 46 of them now). I also have 14 seahorses (here is why I have these many: initially I had 54 of them, then I lost 22 of them, but then I got another 39 of them, but then I lost 57 of them, so at the end I am left with 14 of them). My uncle also has 70 tortoises. I also have 63 squirrels (feeling great about this). My sister also has 80 mridangams. My sister also has 3 oppo mobiles. My sister also has 2 iphone 7 mobiles. I also have 10 albatross (one day, I will have more of them). My grandmother has 77 cobras. My sister also has 8 beavers. My sister also has 39 samsung galaxy z fold5 mobiles. My cousin also has 92 huawei mate 70 mobiles. My grandfather also has 63 ouds. My grandmother also has 6 guinea pigs. My mother also has 2 hammered dulcimers. I also have 17 hippopotamus (feeling good about this). I also have 46 giraffes (here is why I have these many: initially I had 59 of them, then I lost 23 of them, but then I got another 62 of them, but then I lost 52 of them, so at the end I am left with 46 of them). My aunt also has 88 maracas. My sister also has 71 samsung galaxy z fold6 mobiles. My friend also has 54 samsung galaxy a55 mobiles. I also have 73 electric pianos (received them yesterday). My aunt also has 18 viper snakes. I also have 11 ukuleles (very happy to have them). My aunt also has 47 samsung galaxy m55s mobiles. My grandfather also has 24 harps. I also have 91 lg mobiles (it is a funny story how I have 91 of them: initially I had 90, then I also got another 94 making it a total of 184, then I got another 66 making it a total of 250, but then I lost 159 of them so eventually I am left with 91 of them now). My sister also has 98 wasps. My cousin also has 89 infinix mobiles. My aunt also has 24 balafons. My uncle also has 54 blackberry mobiles. My friend also has 11 bansuris. I also have 82 hedgehogs (they were given to me as a gift). I also have 51 iphone x mobiles (I really like them). My sister also has 7 impalas. My mother also has 55 autoharps. I also have 96 iphone 8 mobiles (it is a funny story how I have 96 of them: initially I had 45, then I also got another 59 making it a total of 104, then I got another 67 making it a total of 171, but then I lost 75 of them so eventually I am left with 96 of them now). I also have 98 lutes (here is why I have these many: initially I had 80 of them, then I lost 62 of them, but then I got another 92 of them, but then I lost 12 of them, so at the end I am left with 98 of them). My mother also has 37 sloths. My friend also has 30 iphone 14 mobiles. I also have 61 google (pixel) mobiles (I like these a lot). My sister also has 5 foxes. I also have 73 antelopes (here is why I have these many: initially I had 49 of them, then I lost 23 of them, but then I got another 64 of them, but then I lost 17 of them, so at the end I am left with 73 of them). My grandmother also has 20 samsung galaxy s24 mobiles. My sister also has 94 marimbas. My aunt also has 10 koalas. I also have 15 samsung galaxy a35 mobiles (maybe I just need some of them). My grandmother also has 74 oneplus mobiles. I also have 81 mbiras (I like these a lot). My cousin also has 89 castanets. My cousin also has 68 lemurs. My friend also has 53 huawei nova 13 mobiles. My friend also has 92 iphone 5 mobiles. What is the absolute difference of the total number of animals/insects and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:056", "request": "My aunt has 89 huawei pura 70 pro+ mobiles. My sister has 82 nissan armada cars. I have 67 infinix mobiles (received them yesterday). My uncle has 5 ladybugs. My uncle also has 50 rabbits. My uncle also has 48 iphone 8 mobiles. My grandfather has 37 realme mobiles. My friend has 12 motorola mobiles. I also have 51 hummingbirds (here is why I have these many: initially I had 54 of them, then I lost 20 of them, but then I got another 52 of them, but then I lost 35 of them, so at the end I am left with 51 of them). My brother has 45 jeep gladiator cars. I also have 58 samsung galaxy tab s10 mobiles (I do not think I need this much). My uncle also has 61 iphone 13 mobiles. My cousin has 81 tigers. I also have 14 mazda cx-5 cars (feeling great about this). My brother also has 1 kangaroo. My cousin also has 46 iphone 16 mobiles. My sister also has 84 iphone 11 mobiles. I also have 95 honda insight cars (hope to have more in the future). I also have 31 python snakes (received them last month). My cousin also has 20 toyota corolla cars. My father has 51 dogs. I also have 38 huawei nova 11 se mobiles (maybe I just need some of them). I also have 28 samsung galaxy a15 mobiles (planning to have more in the future). I also have 18 iphone 4 mobiles (here is why I have these many: initially I had 78 of them, then I lost 64 of them, but then I got another 40 of them, but then I lost 36 of them, so at the end I am left with 18 of them). I also have 93 samsung galaxy f05 mobiles (it is a funny story how I have 93 of them: initially I had 40, then I also got another 46 making it a total of 86, then I got another 94 making it a total of 180, but then I lost 87 of them so eventually I am left with 93 of them now). My sister also has 24 toyota c-hr cars. My cousin also has 90 iphone x mobiles. I also have 59 subaru impreza cars (they were given to me as a gift). I also have 31 iphone 14 mobiles (I do not think I need this much). My uncle also has 42 shrimps. My grandfather also has 18 nissan pathfinder cars. My friend also has 37 lg mobiles. I also have 91 nissan kicks cars (I like these a lot). My mother has 87 hyundai elantra cars. My mother also has 61 shrews. My uncle also has 93 crocodiles. I also have 46 samsung galaxy a35 mobiles (it is a funny story how I have 46 of them: initially I had 45, then I also got another 35 making it a total of 80, then I got another 60 making it a total of 140, but then I lost 94 of them so eventually I am left with 46 of them now). My aunt also has 9 frogs. I also have 57 rats (received them last month). My friend also has 11 honda prologuq cars. I also have 1 honda cr-z cars (it is a funny story how I have 1 of them: initially I had 49, then I also got another 25 making it a total of 74, then I got another 35 making it a total of 109, but then I lost 108 of them so eventually I am left with 1 of them now). My mother also has 40 mazda cx-3 cars. My sister also has 52 seals. My grandfather also has 84 vivo mobiles. My aunt also has 23 toyota highlander cars. My sister also has 63 chameleons. My friend also has 84 nissan leaf cars. I also have 88 sony mobiles (received them yesterday). My aunt also has 42 prairie dogs. I also have 47 mules (here is why I have these many: initially I had 62 of them, then I lost 28 of them, but then I got another 33 of them, but then I lost 20 of them, so at the end I am left with 47 of them). I also have 5 raccoons (thrilled to have these). I also have 12 bears (it is a funny story how I have 12 of them: initially I had 62, then I also got another 90 making it a total of 152, then I got another 18 making it a total of 170, but then I lost 158 of them so eventually I am left with 12 of them now). My cousin also has 38 zte mobiles. My uncle also has 45 toyota prius cars. I also have 14 newts (very happy to have them). My uncle also has 56 nokia mobiles. My mother also has 41 nissan murano cars. My aunt also has 31 salamanders. I also have 29 iphone 15 mobiles (I like these a lot). My grandfather also has 31 honor mobiles. My grandmother has 96 octopus. I also have 40 pandas (they are great). My cousin also has 25 elephants. I also have 22 huawei mate 70 mobiles (it is a funny story how I have 22 of them: initially I had 60, then I also got another 23 making it a total of 83, then I got another 54 making it a total of 137, but then I lost 115 of them so eventually I am left with 22 of them now). My cousin also has 9 black rat snakes. My grandfather also has 80 toyota tundra cars. My uncle also has 42 huawei nova 12 pro mobiles. I also have 36 iphone 12 mobiles (very happy to have them). My friend also has 95 google (pixel) mobiles. I also have 5 monkeys (received them yesterday). I also have 38 vultures (very happy to have them). I also have 50 bees (feeling great about this). My father also has 55 flys. My father also has 75 iphone 6 mobiles. I also have 6 huawei nova 13 mobiles (here is why I have these many: initially I had 65 of them, then I lost 56 of them, but then I got another 27 of them, but then I lost 30 of them, so at the end I am left with 6 of them). My mother also has 55 mamba snakes. My friend also has 14 ponys. I also have 90 boa snakes (one day, I will have more of them). I also have 85 wolves (it is a funny story how I have 85 of them: initially I had 30, then I also got another 63 making it a total of 93, then I got another 49 making it a total of 142, but then I lost 57 of them so eventually I am left with 85 of them now). I also have 60 tesla model s cars (here is why I have these many: initially I had 56 of them, then I lost 39 of them, but then I got another 85 of them, but then I lost 42 of them, so at the end I am left with 60 of them). I also have 42 huawei mate x6 mobiles (it is a funny story how I have 42 of them: initially I had 68, then I also got another 37 making it a total of 105, then I got another 96 making it a total of 201, but then I lost 159 of them so eventually I am left with 42 of them now). I also have 88 tecno mobiles (it is a funny story how I have 88 of them: initially I had 81, then I also got another 87 making it a total of 168, then I got another 30 making it a total of 198, but then I lost 110 of them so eventually I am left with 88 of them now). My brother also has 29 huawei nova 12s mobiles. My brother also has 93 subaru outback cars. My friend also has 75 cod. I also have 80 eagles (it is a funny story how I have 80 of them: initially I had 20, then I also got another 62 making it a total of 82, then I got another 23 making it a total of 105, but then I lost 25 of them so eventually I am left with 80 of them now). My friend also has 79 beavers. I also have 13 iphone 5 mobiles (here is why I have these many: initially I had 60 of them, then I lost 32 of them, but then I got another 59 of them, but then I lost 74 of them, so at the end I am left with 13 of them). I also have 54 stingrays (received them last week). I also have 88 toyota sienna cars (here is why I have these many: initially I had 45 of them, then I lost 11 of them, but then I got another 96 of them, but then I lost 42 of them, so at the end I am left with 88 of them). My cousin also has 65 huawei pura 70 pro mobiles. I also have 53 nissan altima cars (it is a funny story how I have 53 of them: initially I had 52, then I also got another 91 making it a total of 143, then I got another 96 making it a total of 239, but then I lost 186 of them so eventually I am left with 53 of them now). My friend also has 81 htc mobiles. My friend also has 36 toyota avalon cars. My friend also has 34 subaru ascent cars. I also have 82 kia niro cars (one day, I will have more of them). My cousin also has 40 xiaomi mobiles. My mother also has 65 swans. My grandfather also has 80 nissan ariya cars. My grandmother also has 98 oppo mobiles. My friend also has 40 toyota 4runnertoyota sequoia cars. My grandfather also has 56 toads. I also have 47 parrots (I am in love with them). I also have 95 echidnas (hope to have more in the future). My aunt also has 87 ferrets. I also have 58 buick enclave cars (I really like them). I also have 88 chimpanzees (it is a funny story how I have 88 of them: initially I had 43, then I also got another 64 making it a total of 107, then I got another 39 making it a total of 146, but then I lost 58 of them so eventually I am left with 88 of them now). My grandfather also has 34 bisons. I also have 23 lizards (received them last month). My uncle also has 71 tortoises. I also have 72 honda element cars (I really like them). My mother also has 9 mazda6 cars. My mother also has 2 badgers. My aunt also has 99 hyundai santa fe cars. What is the sum of the total number of animals/insects and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:060", "request": "I have 69 breadfruits (here is why I have these many: initially I had 49 of them, then I lost 31 of them, but then I got another 95 of them, but then I lost 44 of them, so at the end I am left with 69 of them). My sister has 19 mulberrys. I also have 72 tablas (happt to have them). I also have 27 toyota avalon cars (it is a funny story how I have 27 of them: initially I had 14, then I also got another 13 making it a total of 27, then I got another 12 making it a total of 39, but then I lost 12 of them so eventually I am left with 27 of them now). I also have 71 shehnais (I like these a lot). I also have 58 pineapples (they are great). My grandfather has 59 starfruits. I also have 65 sitars (it is a funny story how I have 65 of them: initially I had 31, then I also got another 54 making it a total of 85, then I got another 39 making it a total of 124, but then I lost 59 of them so eventually I am left with 65 of them now). I also have 18 bananas (I do not think I need this much). My mother has 57 honeydews. My cousin has 29 grapefruits. I also have 18 guzhengs (received them last month). I also have 55 raspberrys (here is why I have these many: initially I had 98 of them, then I lost 27 of them, but then I got another 68 of them, but then I lost 84 of them, so at the end I am left with 55 of them). I also have 51 apricots (it is a funny story how I have 51 of them: initially I had 31, then I also got another 55 making it a total of 86, then I got another 27 making it a total of 113, but then I lost 62 of them so eventually I am left with 51 of them now). My father has 11 electric violins. I also have 77 honeycrisp apples (received them last week). My aunt has 18 nissan ariya cars. My cousin also has 45 ginger gold apples. I also have 67 blueberrys (feeling great about this). I also have 41 timpanis (received them yesterday). I also have 51 dates (here is why I have these many: initially I had 31 of them, then I lost 25 of them, but then I got another 56 of them, but then I lost 11 of them, so at the end I am left with 51 of them). I also have 99 nissan murano cars (thrilled to have these). I also have 53 honda odyssey cars (I am in love with them). My father also has 90 saxophones. My uncle has 40 mbiras. I also have 15 bongos (here is why I have these many: initially I had 65 of them, then I lost 45 of them, but then I got another 21 of them, but then I lost 26 of them, so at the end I am left with 15 of them). My brother has 83 toyota rav4 cars. My mother also has 54 mazda cx-50 cars. My aunt also has 63 clarinets. My friend has 99 harpsichords. My mother also has 41 subaru impreza cars. I also have 11 nissan pathfinder cars (it is a funny story how I have 11 of them: initially I had 65, then I also got another 16 making it a total of 81, then I got another 54 making it a total of 135, but then I lost 124 of them so eventually I am left with 11 of them now). My grandmother has 57 zithers. My cousin also has 18 jazz apples. My grandmother also has 99 grenache grapes. I also have 92 lychees (feeling good about this). My aunt also has 44 cherrys. I also have 5 oboes (planning to have more in the future). My grandmother also has 90 autoharps. My grandmother also has 78 gala apples. My uncle also has 28 persimmons. I also have 50 jeep gladiator cars (I do not think I need this much). My brother also has 23 jackfruits. My aunt also has 4 koras. I also have 70 bansuris (it is a funny story how I have 70 of them: initially I had 76, then I also got another 16 making it a total of 92, then I got another 15 making it a total of 107, but then I lost 37 of them so eventually I am left with 70 of them now). I also have 93 mangoes (it is a funny story how I have 93 of them: initially I had 65, then I also got another 63 making it a total of 128, then I got another 49 making it a total of 177, but then I lost 84 of them so eventually I am left with 93 of them now). My uncle also has 84 elderberryoranges. My cousin also has 51 honda insight cars. My aunt also has 89 rebecs. My uncle also has 94 violins. My sister also has 32 double bass. I also have 38 synthesizer keyboards (I do not think I need this much). My father also has 38 maracas. I also have 33 nectarines (it is a funny story how I have 33 of them: initially I had 49, then I also got another 87 making it a total of 136, then I got another 17 making it a total of 153, but then I lost 120 of them so eventually I am left with 33 of them now). My grandmother also has 68 ocarinas. My aunt also has 57 mazda cx-90 cars. My friend also has 50 mazda cx-30 cars. My sister also has 69 tambourines. I also have 81 muscat grapes (thrilled to have these). My aunt also has 34 toyota sienna cars. My uncle also has 74 durians. My father also has 45 mazda cx-3 cars. My sister also has 24 nissan leaf cars. My uncle also has 37 n'gonis. I also have 14 coconuts (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 16 of them, but then I lost 3 of them, so at the end I am left with 14 of them). My uncle also has 49 autumn royal grapes. I also have 71 quinces (it is a funny story how I have 71 of them: initially I had 100, then I also got another 71 making it a total of 171, then I got another 30 making it a total of 201, but then I lost 130 of them so eventually I am left with 71 of them now). I also have 20 plantains (here is why I have these many: initially I had 45 of them, then I lost 40 of them, but then I got another 79 of them, but then I lost 64 of them, so at the end I am left with 20 of them). I also have 6 toyota corolla cars (here is why I have these many: initially I had 69 of them, then I lost 59 of them, but then I got another 49 of them, but then I lost 53 of them, so at the end I am left with 6 of them). I also have 33 chardonnay grapes (it is a funny story how I have 33 of them: initially I had 55, then I also got another 95 making it a total of 150, then I got another 42 making it a total of 192, but then I lost 159 of them so eventually I am left with 33 of them now). My brother also has 61 glockenspiels. My aunt also has 24 guavas. My grandfather also has 96 kiwis. My uncle also has 11 peaches. My father also has 20 accordions. I also have 5 bouzoukis (here is why I have these many: initially I had 59 of them, then I lost 28 of them, but then I got another 61 of them, but then I lost 87 of them, so at the end I am left with 5 of them). I also have 85 cantaloupes (maybe I just need some of them). My mother also has 49 nissan sentra cars. I also have 39 dodge challenger cars (thrilled to have these). My mother also has 54 kotoes. My aunt also has 3 nissan altima cars. I also have 60 lutes (happt to have them). I also have 2 drums (here is why I have these many: initially I had 28 of them, then I lost 21 of them, but then I got another 49 of them, but then I lost 54 of them, so at the end I am left with 2 of them). I also have 1 rabab (I do not think I need this much). I also have 9 flutes (I do not think I need this much). My friend also has 18 balafons. I also have 14 soursops (happt to have them). My mother also has 86 toyota camry cars. I also have 88 cotton candy grapes (they are great). My grandfather also has 35 buick enclave cars. I also have 72 kia niro cars (happt to have them). My sister also has 58 audi a6 cars. I also have 3 merlot grapes (here is why I have these many: initially I had 74 of them, then I lost 23 of them, but then I got another 29 of them, but then I lost 77 of them, so at the end I am left with 3 of them). My uncle also has 86 ouds. I also have 46 pipas (it is a funny story how I have 46 of them: initially I had 15, then I also got another 58 making it a total of 73, then I got another 33 making it a total of 106, but then I lost 60 of them so eventually I am left with 46 of them now). I also have 36 honda prologuq cars (here is why I have these many: initially I had 88 of them, then I lost 60 of them, but then I got another 80 of them, but then I lost 72 of them, so at the end I am left with 36 of them). My cousin also has 67 nissan titan cars. My cousin also has 59 mazda mx-30 cars. I also have 47 tanpuras (thrilled to have these). I also have 7 ford edge cars (it is a funny story how I have 7 of them: initially I had 11, then I also got another 15 making it a total of 26, then I got another 70 making it a total of 96, but then I lost 89 of them so eventually I am left with 7 of them now). I also have 15 hyundai santa fe cars (it is a funny story how I have 15 of them: initially I had 94, then I also got another 70 making it a total of 164, then I got another 13 making it a total of 177, but then I lost 162 of them so eventually I am left with 15 of them now). I also have 8 dragonfruits (here is why I have these many: initially I had 49 of them, then I lost 13 of them, but then I got another 41 of them, but then I lost 69 of them, so at the end I am left with 8 of them). I also have 41 cellos (here is why I have these many: initially I had 16 of them, then I lost 11 of them, but then I got another 47 of them, but then I lost 11 of them, so at the end I am left with 41 of them). My brother also has 63 tars. I also have 4 subaru outback cars (here is why I have these many: initially I had 82 of them, then I lost 78 of them, but then I got another 97 of them, but then I lost 97 of them, so at the end I am left with 4 of them). My aunt also has 84 marimbas. My friend also has 30 erhus. I also have 56 toyota highlander cars (here is why I have these many: initially I had 46 of them, then I lost 22 of them, but then I got another 84 of them, but then I lost 52 of them, so at the end I am left with 56 of them). My cousin also has 52 trumpets. My cousin also has 46 clavichords. My cousin also has 90 mazda cx-80 cars. I also have 1 harmonica (it is a funny story how I have 1 of them: initially I had 78, then I also got another 64 making it a total of 142, then I got another 47 making it a total of 189, but then I lost 188 of them so eventually I am left with 1 of them now). My father also has 98 plums. My father also has 84 electric pianos. My brother also has 4 mazda cx-70 cars. What is the absolute difference of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:062", "request": "My cousin has 28 electric guitars. My aunt has 55 erhus. I have 96 tamburas (feeling good about this). My grandfather has 50 skunks. My brother has 36 samsung galaxy c55 mobiles. My father has 19 prairie dogs. My sister has 43 moose. My grandmother has 55 octopus. My uncle has 43 donkeys. My brother also has 20 meizu mobiles. My cousin also has 82 otters. I also have 32 iphone 7 mobiles (one day, I will have more of them). I also have 95 iphone 5 mobiles (received them last month). My brother also has 29 tambourines. My father also has 77 lutes. My father also has 7 electric cellos. My grandfather also has 53 iphone 8 mobiles. My brother also has 56 realme mobiles. My brother also has 87 shehnais. My brother also has 85 vivo mobiles. My cousin also has 55 wolves. My brother also has 96 komodo dragons. My father also has 15 pipas. My sister also has 6 koras. I also have 57 kotoes (hope to have more in the future). I also have 93 samsung galaxy a35 mobiles (received them last week). My grandfather also has 51 clarinets. My mother has 23 oppo mobiles. My sister also has 50 motorola mobiles. I also have 43 hammered dulcimers (it is a funny story how I have 43 of them: initially I had 34, then I also got another 41 making it a total of 75, then I got another 41 making it a total of 116, but then I lost 73 of them so eventually I am left with 43 of them now). I also have 80 harmonicas (I like these a lot). My sister also has 91 tars. My cousin also has 64 cranes. My sister also has 27 timpanis. My brother also has 79 boa snakes. My cousin also has 50 hyenas. My sister also has 82 google (pixel) mobiles. My sister also has 7 rebecs. My cousin also has 77 badgers. My mother also has 39 iphone 14 mobiles. I also have 83 guitars (I really like them). My grandfather also has 71 sony mobiles. My grandfather also has 61 sitars. My sister also has 23 shrews. I also have 28 kalimbas (maybe I just need some of them). My grandfather also has 78 shrimps. I also have 45 black rat snakes (hope to have more in the future). My mother also has 83 whales. I also have 83 chimpanzees (it is a funny story how I have 83 of them: initially I had 65, then I also got another 61 making it a total of 126, then I got another 66 making it a total of 192, but then I lost 109 of them so eventually I am left with 83 of them now). My brother also has 41 sheep. My sister also has 65 djembes. My uncle also has 14 bouzoukis. I also have 89 huawei pura 70 pro+ mobiles (planning to have more in the future). My mother also has 81 ladybugs. I also have 80 crocodiles (they were given to me as a gift). I also have 52 bass guitars (here is why I have these many: initially I had 28 of them, then I lost 25 of them, but then I got another 63 of them, but then I lost 14 of them, so at the end I am left with 52 of them). My sister also has 52 doves. My cousin also has 71 samsung galaxy z fold6 mobiles. I also have 11 samsung galaxy z fold5 mobiles (they were given to me as a gift). My grandfather also has 89 samsung galaxy a16 mobiles. My brother also has 23 sharks. My grandmother also has 29 tanpuras. My cousin also has 81 drums. My mother also has 61 banjoes. I also have 92 mules (I do not think I need this much). My mother also has 78 owls. I also have 49 shamisens (it is a funny story how I have 49 of them: initially I had 43, then I also got another 21 making it a total of 64, then I got another 87 making it a total of 151, but then I lost 102 of them so eventually I am left with 49 of them now). My grandfather also has 18 impalas. My grandmother also has 53 butterflys. My brother also has 71 clavichords. I also have 50 huawei pura 70 mobiles (they are great). I also have 23 electric violins (it is a funny story how I have 23 of them: initially I had 30, then I also got another 75 making it a total of 105, then I got another 90 making it a total of 195, but then I lost 172 of them so eventually I am left with 23 of them now). I also have 21 samsung galaxy m55s mobiles (feeling great about this). My grandfather also has 74 lizards. I also have 1 ant (I do not think I need this much). My uncle also has 82 ukuleles. I also have 62 crabs (I do not think I need this much). I also have 52 alpacas (feeling great about this). I also have 23 mandolins (very happy to have them). My cousin also has 8 cockroaches. My cousin also has 88 huawei pura 70 ultra mobiles. My cousin also has 48 marmots. I also have 91 manatees (very happy to have them). My mother also has 68 didgeridoos. I also have 35 tecno mobiles (they are great). My mother also has 30 synthesizer keyboards. My friend has 51 samsung galaxy f05 mobiles. My uncle also has 46 bagpipes. My cousin also has 31 trumpets. I also have 35 iphone 6 mobiles (received them yesterday). I also have 64 tablas (here is why I have these many: initially I had 24 of them, then I lost 14 of them, but then I got another 78 of them, but then I lost 24 of them, so at the end I am left with 64 of them). My brother also has 2 samsung galaxy s24 mobiles. I also have 85 biwas (it is a funny story how I have 85 of them: initially I had 54, then I also got another 73 making it a total of 127, then I got another 68 making it a total of 195, but then I lost 110 of them so eventually I am left with 85 of them now). I also have 49 flutes (it is a funny story how I have 49 of them: initially I had 19, then I also got another 75 making it a total of 94, then I got another 68 making it a total of 162, but then I lost 113 of them so eventually I am left with 49 of them now). My aunt also has 93 xylophones. My sister also has 10 squirrels. My friend also has 27 zte mobiles. I also have 96 autoharps (it is a funny story how I have 96 of them: initially I had 27, then I also got another 84 making it a total of 111, then I got another 87 making it a total of 198, but then I lost 102 of them so eventually I am left with 96 of them now). My aunt also has 70 reindeer. I also have 57 cows (here is why I have these many: initially I had 32 of them, then I lost 12 of them, but then I got another 71 of them, but then I lost 34 of them, so at the end I am left with 57 of them). I also have 15 huawei nova 13 mobiles (feeling great about this). I also have 94 hummingbirds (here is why I have these many: initially I had 25 of them, then I lost 10 of them, but then I got another 89 of them, but then I lost 10 of them, so at the end I am left with 94 of them). My grandfather also has 54 yaks. My sister also has 23 iguanas. I also have 70 macaws (received them last month). I also have 71 cobras (maybe I just need some of them). What is the sum of the total number of mobiles and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:067", "request": "I have 93 toyota c-hr cars (here is why I have these many: initially I had 76 of them, then I lost 25 of them, but then I got another 61 of them, but then I lost 19 of them, so at the end I am left with 93 of them). My father has 21 iphone 14 mobiles. I also have 92 nokia mobiles (received them last week). My grandmother has 69 samsung galaxy m55s mobiles. I also have 54 samsung galaxy tab s10 mobiles (one day, I will have more of them). My brother has 90 huawei nova 12s mobiles. My father also has 81 iphone x mobiles. I also have 18 oppo mobiles (they were given to me as a gift). I also have 38 storks (here is why I have these many: initially I had 52 of them, then I lost 40 of them, but then I got another 98 of them, but then I lost 72 of them, so at the end I am left with 38 of them). I also have 4 hippopotamus (it is a funny story how I have 4 of them: initially I had 31, then I also got another 64 making it a total of 95, then I got another 53 making it a total of 148, but then I lost 144 of them so eventually I am left with 4 of them now). My mother has 4 lemurs. I also have 7 samsung galaxy a15 mobiles (here is why I have these many: initially I had 40 of them, then I lost 22 of them, but then I got another 69 of them, but then I lost 80 of them, so at the end I am left with 7 of them). My grandfather has 39 zte mobiles. I also have 4 black rat snakes (happt to have them). My brother also has 44 rats. I also have 75 tecno mobiles (received them last month). My sister has 18 samsung galaxy z fold5 mobiles. I also have 14 nissan titan cars (it is a funny story how I have 14 of them: initially I had 58, then I also got another 70 making it a total of 128, then I got another 88 making it a total of 216, but then I lost 202 of them so eventually I am left with 14 of them now). I also have 31 honda civic cars (I am in love with them). I also have 91 otters (here is why I have these many: initially I had 97 of them, then I lost 45 of them, but then I got another 58 of them, but then I lost 19 of them, so at the end I am left with 91 of them). My sister also has 62 apes. My friend has 67 falcons. I also have 28 toyota camry cars (here is why I have these many: initially I had 14 of them, then I lost 11 of them, but then I got another 54 of them, but then I lost 29 of them, so at the end I am left with 28 of them). I also have 88 quails (here is why I have these many: initially I had 32 of them, then I lost 27 of them, but then I got another 89 of them, but then I lost 6 of them, so at the end I am left with 88 of them). My grandfather also has 78 huawei mate 70 mobiles. I also have 39 iphone 11 mobiles (it is a funny story how I have 39 of them: initially I had 88, then I also got another 53 making it a total of 141, then I got another 69 making it a total of 210, but then I lost 171 of them so eventually I am left with 39 of them now). I also have 78 honda element cars (thrilled to have these). My grandfather also has 71 hens. My friend also has 84 oneplus mobiles. I also have 87 toyota rav4 cars (happt to have them). I also have 74 whales (it is a funny story how I have 74 of them: initially I had 27, then I also got another 76 making it a total of 103, then I got another 77 making it a total of 180, but then I lost 106 of them so eventually I am left with 74 of them now). My friend also has 81 ford edge cars. I also have 23 samsung galaxy c55 mobiles (I like these a lot). I also have 61 cats (feeling good about this). I also have 98 toyota highlander cars (feeling great about this). My aunt has 98 narwhals. I also have 95 jeep gladiator cars (I like these a lot). My brother also has 80 huawei pura 70 ultra mobiles. My friend also has 18 chameleons. I also have 99 samsung galaxy s24 mobiles (here is why I have these many: initially I had 78 of them, then I lost 37 of them, but then I got another 82 of them, but then I lost 24 of them, so at the end I am left with 99 of them). I also have 35 ants (it is a funny story how I have 35 of them: initially I had 90, then I also got another 90 making it a total of 180, then I got another 75 making it a total of 255, but then I lost 220 of them so eventually I am left with 35 of them now). I also have 91 iphone 16 mobiles (it is a funny story how I have 91 of them: initially I had 44, then I also got another 75 making it a total of 119, then I got another 86 making it a total of 205, but then I lost 114 of them so eventually I am left with 91 of them now). My sister also has 41 mazda cx-3 cars. My mother also has 7 honda cr-z cars. My grandfather also has 90 xiaomi mobiles. My father also has 98 subaru impreza cars. I also have 61 rabbits (it is a funny story how I have 61 of them: initially I had 42, then I also got another 24 making it a total of 66, then I got another 21 making it a total of 87, but then I lost 26 of them so eventually I am left with 61 of them now). I also have 82 honda odyssey cars (I am in love with them). My aunt also has 49 gorillas. I also have 84 tigers (received them yesterday). My brother also has 6 lg mobiles. My cousin has 64 pigeons. My cousin also has 11 audi a6 cars. My mother also has 98 hyundai santa fe cars. My mother also has 25 llamas. I also have 76 huawei pura 70 mobiles (I like these a lot). My grandmother also has 16 nissan maxima cars. I also have 47 ducks (it is a funny story how I have 47 of them: initially I had 24, then I also got another 33 making it a total of 57, then I got another 50 making it a total of 107, but then I lost 60 of them so eventually I am left with 47 of them now). My sister also has 31 rattlesnakes. I also have 77 walrus (feeling great about this). My cousin also has 43 mazda cx-50 cars. My mother also has 55 dolphins. My mother also has 13 bears. I also have 57 iphone 5 mobiles (one day, I will have more of them). I also have 80 tesla model s cars (it is a funny story how I have 80 of them: initially I had 15, then I also got another 85 making it a total of 100, then I got another 73 making it a total of 173, but then I lost 93 of them so eventually I am left with 80 of them now). I also have 51 cockroaches (it is a funny story how I have 51 of them: initially I had 78, then I also got another 74 making it a total of 152, then I got another 44 making it a total of 196, but then I lost 145 of them so eventually I am left with 51 of them now). I also have 44 nissan leaf cars (hope to have more in the future). I also have 48 meizu mobiles (received them last month). My father also has 37 iphone 7 mobiles. My father also has 30 samsung galaxy a55 mobiles. My friend also has 6 mazda cx-30 cars. I also have 63 toyota corolla cars (I am in love with them). My brother also has 14 crabs. My cousin also has 83 bisons. My mother also has 36 hawks. My father also has 27 mazda cx-80 cars. My uncle has 92 honor mobiles. I also have 24 trout (here is why I have these many: initially I had 78 of them, then I lost 44 of them, but then I got another 22 of them, but then I lost 32 of them, so at the end I am left with 24 of them). My grandfather also has 13 hyundai elantra cars. I also have 63 subaru ascent cars (received them yesterday). My grandfather also has 1 huawei pura 70 pro mobiles. I also have 16 nissan armada cars (very happy to have them). My friend also has 46 mamba snakes. I also have 48 mazda3 cars (it is a funny story how I have 48 of them: initially I had 66, then I also got another 62 making it a total of 128, then I got another 88 making it a total of 216, but then I lost 168 of them so eventually I am left with 48 of them now). I also have 72 htc mobiles (here is why I have these many: initially I had 72 of them, then I lost 32 of them, but then I got another 49 of them, but then I lost 17 of them, so at the end I am left with 72 of them). My brother also has 1 mazda mx-30 cars. My grandfather also has 98 mazda2 cars. My cousin also has 41 huawei nova 13 mobiles. My friend also has 37 possums. My cousin also has 68 echidnas. My friend also has 60 beavers. My cousin also has 70 alpacas. I also have 14 kingsnakes (here is why I have these many: initially I had 20 of them, then I lost 16 of them, but then I got another 78 of them, but then I lost 68 of them, so at the end I am left with 14 of them). My aunt also has 2 samsung galaxy z fold6 mobiles. I also have 25 nissan kicks cars (here is why I have these many: initially I had 63 of them, then I lost 50 of them, but then I got another 82 of them, but then I lost 70 of them, so at the end I am left with 25 of them). I also have 46 samsung galaxy f05 mobiles (I am in love with them). My grandmother also has 87 canarys. I also have 38 aardvarks (here is why I have these many: initially I had 39 of them, then I lost 17 of them, but then I got another 96 of them, but then I lost 80 of them, so at the end I am left with 38 of them). My brother also has 24 wasps. I also have 76 boars (they are great). I also have 20 nissan sentra cars (here is why I have these many: initially I had 60 of them, then I lost 54 of them, but then I got another 27 of them, but then I lost 13 of them, so at the end I am left with 20 of them). My grandfather also has 10 nissan ariya cars. My grandfather also has 89 huawei nova 11 se mobiles. My sister also has 49 yaks. What is the absolute difference of the total number of animals/insects and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:070", "request": "My uncle has 23 toads. My aunt has 94 gorillas. My sister has 2 jazz apples. I have 57 kingsnakes (I really like them). My uncle also has 89 bananas. I also have 69 sharks (it is a funny story how I have 69 of them: initially I had 26, then I also got another 29 making it a total of 55, then I got another 95 making it a total of 150, but then I lost 81 of them so eventually I am left with 69 of them now). My grandfather has 24 honda hr-v cars. I also have 63 mangoes (here is why I have these many: initially I had 57 of them, then I lost 22 of them, but then I got another 43 of them, but then I lost 15 of them, so at the end I am left with 63 of them). I also have 54 toyota camry cars (I like these a lot). My friend has 32 dragonfruits. I also have 47 bats (one day, I will have more of them). My grandmother has 42 narwhals. My mother has 86 nebbiolo grapes. I also have 60 grapefruits (here is why I have these many: initially I had 58 of them, then I lost 23 of them, but then I got another 59 of them, but then I lost 34 of them, so at the end I am left with 60 of them). I also have 83 nissan maxima cars (received them last month). My friend also has 63 buick enclave cars. My father has 42 plums. My sister also has 96 geese. My uncle also has 13 guavas. My grandfather also has 8 hummingbirds. My sister also has 14 honeydews. My mother also has 51 pinot noir grapes. I also have 94 muscat grapes (I am in love with them). I also have 91 rabbits (received them yesterday). I also have 63 toyota rav4 cars (I am in love with them). I also have 61 camels (it is a funny story how I have 61 of them: initially I had 51, then I also got another 35 making it a total of 86, then I got another 50 making it a total of 136, but then I lost 75 of them so eventually I am left with 61 of them now). My grandfather also has 27 ponys. I also have 84 mazda3 cars (they were given to me as a gift). I also have 38 emus (one day, I will have more of them). I also have 57 subaru impreza cars (it is a funny story how I have 57 of them: initially I had 18, then I also got another 36 making it a total of 54, then I got another 10 making it a total of 64, but then I lost 7 of them so eventually I am left with 57 of them now). I also have 67 newts (here is why I have these many: initially I had 36 of them, then I lost 15 of them, but then I got another 100 of them, but then I lost 54 of them, so at the end I am left with 67 of them). I also have 97 dates (I really like them). My grandmother also has 57 envy apples. My aunt also has 9 jackfruits. I also have 93 mazda cx-50 cars (it is a funny story how I have 93 of them: initially I had 28, then I also got another 61 making it a total of 89, then I got another 17 making it a total of 106, but then I lost 13 of them so eventually I am left with 93 of them now). I also have 7 otters (I really like them). My uncle also has 77 cockroaches. I also have 6 ginger gold apples (feeling great about this). My cousin has 22 apricots. My grandfather also has 39 cotton candy grapes. My cousin also has 47 mazda mx-30 cars. My uncle also has 66 honda odyssey cars. My mother also has 80 toyota 4runnertoyota sequoia cars. My uncle also has 25 swans. My cousin also has 89 lemons. My grandfather also has 24 nissan titan cars. My grandfather also has 18 hippopotamus. My friend also has 41 sloths. I also have 23 honda cr-v cars (here is why I have these many: initially I had 92 of them, then I lost 41 of them, but then I got another 26 of them, but then I lost 54 of them, so at the end I am left with 23 of them). I also have 88 armadillos (feeling great about this). I also have 3 nissan altima cars (maybe I just need some of them). My grandmother also has 89 strawberrys. My sister also has 22 breadfruits. My grandmother also has 33 snails. I also have 38 mamba snakes (here is why I have these many: initially I had 63 of them, then I lost 13 of them, but then I got another 21 of them, but then I lost 33 of them, so at the end I am left with 38 of them). I also have 51 turkeys (maybe I just need some of them). I also have 55 quinces (received them last month). I also have 7 dolphins (received them last week). My father also has 61 trout. I also have 46 magpies (it is a funny story how I have 46 of them: initially I had 56, then I also got another 16 making it a total of 72, then I got another 27 making it a total of 99, but then I lost 53 of them so eventually I am left with 46 of them now). My sister also has 8 butterflys. My brother has 47 blueberrys. I also have 63 tesla model s cars (very happy to have them). My aunt also has 52 raspberrys. My uncle also has 73 toyota tundra cars. I also have 98 spartan apples (one day, I will have more of them). I also have 7 hyundai santa fe cars (they are great). My grandmother also has 61 nissan frintier cars. My brother also has 68 kiwis. My grandmother also has 9 deer. I also have 71 eagles (I do not think I need this much). My father also has 39 honeycrisp apples. My mother also has 9 honda element cars. My cousin also has 14 toyota highlander cars. I also have 47 badgers (it is a funny story how I have 47 of them: initially I had 96, then I also got another 53 making it a total of 149, then I got another 11 making it a total of 160, but then I lost 113 of them so eventually I am left with 47 of them now). My aunt also has 94 nissan leaf cars. My mother also has 35 seals. My friend also has 23 moose. My uncle also has 9 ferrets. I also have 56 koalas (I like these a lot). My brother also has 25 starfruits. I also have 87 nissan kicks cars (they are great). My sister also has 91 volkswagen golf cars. My cousin also has 69 nectarines. I also have 65 fish (here is why I have these many: initially I had 49 of them, then I lost 27 of them, but then I got another 68 of them, but then I lost 25 of them, so at the end I am left with 65 of them). My father also has 35 zebras. I also have 34 viper snakes (thrilled to have these). I also have 25 watermelons (here is why I have these many: initially I had 32 of them, then I lost 30 of them, but then I got another 100 of them, but then I lost 77 of them, so at the end I am left with 25 of them). My grandmother also has 60 mazda cx-90 cars. My brother also has 8 doves. I also have 91 nissan sentra cars (it is a funny story how I have 91 of them: initially I had 23, then I also got another 62 making it a total of 85, then I got another 10 making it a total of 95, but then I lost 4 of them so eventually I am left with 91 of them now). I also have 45 honda insight cars (it is a funny story how I have 45 of them: initially I had 56, then I also got another 84 making it a total of 140, then I got another 12 making it a total of 152, but then I lost 107 of them so eventually I am left with 45 of them now). My grandmother also has 84 durians. I also have 31 mazda cx-70 cars (it is a funny story how I have 31 of them: initially I had 29, then I also got another 22 making it a total of 51, then I got another 37 making it a total of 88, but then I lost 57 of them so eventually I am left with 31 of them now). I also have 63 soursops (I like these a lot). My brother also has 30 clementinefigs. I also have 8 rats (it is a funny story how I have 8 of them: initially I had 97, then I also got another 71 making it a total of 168, then I got another 86 making it a total of 254, but then I lost 246 of them so eventually I am left with 8 of them now). My mother also has 66 pomegranates. My cousin also has 74 ambrosia apples. I also have 93 mazda cx-80 cars (here is why I have these many: initially I had 18 of them, then I lost 16 of them, but then I got another 96 of them, but then I lost 5 of them, so at the end I am left with 93 of them). I also have 3 mazda2 cars (it is a funny story how I have 3 of them: initially I had 57, then I also got another 45 making it a total of 102, then I got another 39 making it a total of 141, but then I lost 138 of them so eventually I am left with 3 of them now). I also have 59 hedgehogs (it is a funny story how I have 59 of them: initially I had 47, then I also got another 66 making it a total of 113, then I got another 45 making it a total of 158, but then I lost 99 of them so eventually I am left with 59 of them now). My brother also has 67 mulberrys. I also have 76 mazda6 cars (maybe I just need some of them). My brother also has 8 fuji apples. My sister also has 88 nissan murano cars. My brother also has 8 nissan pathfinder cars. I also have 92 shrews (here is why I have these many: initially I had 82 of them, then I lost 18 of them, but then I got another 54 of them, but then I lost 26 of them, so at the end I am left with 92 of them). I also have 52 crocodiles (here is why I have these many: initially I had 26 of them, then I lost 23 of them, but then I got another 69 of them, but then I lost 20 of them, so at the end I am left with 52 of them). I also have 30 jonagold apples (they were given to me as a gift). I also have 44 bisons (feeling good about this). My father also has 22 merlot grapes. My brother also has 91 toyota prius cars. My grandmother also has 5 whales. My mother also has 10 toyota sienna cars. My mother also has 63 coconuts. My uncle also has 84 salamanders. My brother also has 49 aardvarks. I also have 66 jellyfish (I really like them). My mother also has 53 riesling grapes. My cousin also has 74 nissan armada cars. My brother also has 5 squirrels. My brother also has 74 llamas. My grandmother also has 59 cats. I also have 8 pears (it is a funny story how I have 8 of them: initially I had 71, then I also got another 96 making it a total of 167, then I got another 50 making it a total of 217, but then I lost 209 of them so eventually I am left with 8 of them now). My grandmother also has 86 komodo dragons. My brother also has 85 honda accord cars. I also have 97 kia niro cars (here is why I have these many: initially I had 24 of them, then I lost 22 of them, but then I got another 97 of them, but then I lost 2 of them, so at the end I am left with 97 of them). I also have 3 nissan ariya cars (here is why I have these many: initially I had 67 of them, then I lost 15 of them, but then I got another 14 of them, but then I lost 63 of them, so at the end I am left with 3 of them). I also have 31 honda passport cars (it is a funny story how I have 31 of them: initially I had 14, then I also got another 85 making it a total of 99, then I got another 100 making it a total of 199, but then I lost 168 of them so eventually I am left with 31 of them now). I also have 77 garter snakes (thrilled to have these). I also have 54 albatross (feeling good about this). My uncle also has 76 bees. My grandfather also has 94 prairie dogs. I also have 92 rattlesnakes (here is why I have these many: initially I had 39 of them, then I lost 30 of them, but then I got another 100 of them, but then I lost 17 of them, so at the end I am left with 92 of them). What is the absolute difference of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:073", "request": "My grandmother has 90 samsung galaxy z fold6 mobiles. I have 23 honeydews (it is a funny story how I have 23 of them: initially I had 71, then I also got another 99 making it a total of 170, then I got another 42 making it a total of 212, but then I lost 189 of them so eventually I am left with 23 of them now). My sister has 80 huawei pura 70 ultra mobiles. My grandmother also has 40 trumpets. I also have 1 meizu mobiles (here is why I have these many: initially I had 87 of them, then I lost 65 of them, but then I got another 19 of them, but then I lost 40 of them, so at the end I am left with 1 of them). I also have 72 tamburas (they are great). I also have 57 sruti boxes (received them last week). My father has 12 pomegranates. My aunt has 33 iphone 8 mobiles. My uncle has 38 dates. My uncle also has 6 envy apples. I also have 29 iphone 12 mobiles (feeling great about this). My mother has 94 clavichords. My aunt also has 76 blueberrys. I also have 42 zithers (received them yesterday). My grandmother also has 91 pink lady apples. My brother has 60 tars. I also have 13 chardonnay grapes (here is why I have these many: initially I had 66 of them, then I lost 32 of them, but then I got another 48 of them, but then I lost 69 of them, so at the end I am left with 13 of them). My sister also has 46 double bass. My uncle also has 21 huawei pura 70 pro+ mobiles. I also have 23 lutes (here is why I have these many: initially I had 28 of them, then I lost 10 of them, but then I got another 53 of them, but then I lost 48 of them, so at the end I am left with 23 of them). I also have 85 peaches (I do not think I need this much). My uncle also has 39 nokia mobiles. My grandmother also has 16 muscat grapes. I also have 87 congas (they are great). My cousin has 76 iphone 11 mobiles. I also have 93 bansuris (happt to have them). My grandfather has 42 infinix mobiles. My grandfather also has 83 iphone 4 mobiles. I also have 75 saxophones (maybe I just need some of them). I also have 67 nebbiolo grapes (here is why I have these many: initially I had 44 of them, then I lost 43 of them, but then I got another 69 of them, but then I lost 3 of them, so at the end I am left with 67 of them). My cousin also has 27 djembes. I also have 17 samsung galaxy m55s mobiles (I do not think I need this much). I also have 90 samsung galaxy a15 mobiles (very happy to have them). I also have 8 huawei nova 12s mobiles (I am in love with them). My grandmother also has 14 iphone 14 mobiles. My father also has 47 n'gonis. I also have 56 pears (received them last month). I also have 76 kiwis (received them yesterday). My grandmother also has 15 koras. I also have 58 theremins (I do not think I need this much). I also have 17 grapefruits (very happy to have them). My cousin also has 61 coconuts. My friend has 43 guavas. I also have 31 quinces (received them last week). I also have 33 samsung galaxy f05 mobiles (it is a funny story how I have 33 of them: initially I had 39, then I also got another 26 making it a total of 65, then I got another 42 making it a total of 107, but then I lost 74 of them so eventually I am left with 33 of them now). My friend also has 94 organs. My grandmother also has 93 kazoos. I also have 5 drums (feeling good about this). My father also has 82 iphone 5 mobiles. My friend also has 10 lg mobiles. My aunt also has 53 huawei nova 12 pro mobiles. My father also has 2 honeycrisp apples. I also have 54 realme mobiles (very happy to have them). My friend also has 80 raspberrys. My grandmother also has 23 jackfruits. My grandmother also has 14 hammered dulcimers. My aunt also has 58 soursops. My cousin also has 90 tablas. I also have 66 pianos (here is why I have these many: initially I had 65 of them, then I lost 20 of them, but then I got another 56 of them, but then I lost 35 of them, so at the end I am left with 66 of them). My cousin also has 78 harmonicas. My friend also has 63 clementinefigs. I also have 13 nadaswarams (it is a funny story how I have 13 of them: initially I had 55, then I also got another 97 making it a total of 152, then I got another 64 making it a total of 216, but then I lost 203 of them so eventually I am left with 13 of them now). My father also has 56 electric guitars. My grandfather also has 49 samsung galaxy z fold5 mobiles. My brother also has 15 huawei pura 70 pro mobiles. My sister also has 43 dulcimers. My aunt also has 67 cellos. My brother also has 29 nectarines. My grandmother also has 78 bassoons. I also have 15 fuji apples (it is a funny story how I have 15 of them: initially I had 18, then I also got another 35 making it a total of 53, then I got another 57 making it a total of 110, but then I lost 95 of them so eventually I am left with 15 of them now). My friend also has 15 google (pixel) mobiles. My mother also has 18 iphone x mobiles. My cousin also has 31 kalimbas. My cousin also has 76 samsung galaxy a35 mobiles. My grandfather also has 98 pineapples. My cousin also has 25 harps. My friend also has 78 autumn royal grapes. My mother also has 5 bananas. My brother also has 23 maracas. My friend also has 62 electric cellos. My sister also has 36 huawei mate 70 mobiles. My mother also has 19 vivo mobiles. I also have 26 huawei nova 12i mobiles (here is why I have these many: initially I had 20 of them, then I lost 12 of them, but then I got another 38 of them, but then I lost 20 of them, so at the end I am left with 26 of them). My uncle also has 60 cantaloupes. My grandmother also has 10 merlot grapes. My father also has 6 violins. I also have 19 sony mobiles (it is a funny story how I have 19 of them: initially I had 82, then I also got another 11 making it a total of 93, then I got another 70 making it a total of 163, but then I lost 144 of them so eventually I am left with 19 of them now). My mother also has 86 recorders. I also have 14 bongos (here is why I have these many: initially I had 88 of them, then I lost 31 of them, but then I got another 91 of them, but then I lost 134 of them, so at the end I am left with 14 of them). I also have 45 syrah grapes (it is a funny story how I have 45 of them: initially I had 64, then I also got another 10 making it a total of 74, then I got another 28 making it a total of 102, but then I lost 57 of them so eventually I am left with 45 of them now). I also have 18 cherrys (it is a funny story how I have 18 of them: initially I had 79, then I also got another 31 making it a total of 110, then I got another 82 making it a total of 192, but then I lost 174 of them so eventually I am left with 18 of them now). I also have 11 plums (it is a funny story how I have 11 of them: initially I had 47, then I also got another 11 making it a total of 58, then I got another 77 making it a total of 135, but then I lost 124 of them so eventually I am left with 11 of them now). My grandfather also has 57 flutes. My aunt also has 22 iphone 6 mobiles. I also have 53 zte mobiles (here is why I have these many: initially I had 96 of them, then I lost 43 of them, but then I got another 21 of them, but then I lost 21 of them, so at the end I am left with 53 of them). I also have 19 shehnais (thrilled to have these). My friend also has 24 breadfruits. I also have 74 biwas (it is a funny story how I have 74 of them: initially I had 95, then I also got another 94 making it a total of 189, then I got another 95 making it a total of 284, but then I lost 210 of them so eventually I am left with 74 of them now). I also have 31 tambourines (planning to have more in the future). My sister also has 54 lychees. My brother also has 43 mulberrys. I also have 73 riesling grapes (I like these a lot). I also have 17 papayas (they are great). My aunt also has 15 oboes. I also have 33 ambrosia apples (here is why I have these many: initially I had 46 of them, then I lost 39 of them, but then I got another 72 of them, but then I lost 46 of them, so at the end I am left with 33 of them). I also have 64 htc mobiles (hope to have more in the future). I also have 79 plantains (they were given to me as a gift). I also have 28 spartan apples (hope to have more in the future). I also have 57 oppo mobiles (it is a funny story how I have 57 of them: initially I had 79, then I also got another 14 making it a total of 93, then I got another 95 making it a total of 188, but then I lost 131 of them so eventually I am left with 57 of them now). I also have 83 jazz apples (I really like them). My cousin also has 85 erhus. I also have 67 strawberrys (it is a funny story how I have 67 of them: initially I had 53, then I also got another 25 making it a total of 78, then I got another 34 making it a total of 112, but then I lost 45 of them so eventually I am left with 67 of them now). My grandfather also has 40 apricots. I also have 36 samsung galaxy c55 mobiles (one day, I will have more of them). My sister also has 12 shamisens. I also have 81 pinot noir grapes (here is why I have these many: initially I had 37 of them, then I lost 17 of them, but then I got another 76 of them, but then I lost 15 of them, so at the end I am left with 81 of them). What is the sum of the total number of mobiles and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:076", "request": "I have 4 apricots (they are great). I also have 28 tecno mobiles (received them last month). I also have 82 iphone 15 mobiles (thrilled to have these). My father has 60 mangoes. I also have 45 chickens (received them last week). My mother has 49 oppo mobiles. My mother also has 31 infinix mobiles. I also have 85 ants (I am in love with them). I also have 87 samsung galaxy tab s10 mobiles (it is a funny story how I have 87 of them: initially I had 27, then I also got another 38 making it a total of 65, then I got another 89 making it a total of 154, but then I lost 67 of them so eventually I am left with 87 of them now). My brother has 84 lg mobiles. My aunt has 19 bananas. My uncle has 79 iphone 5 mobiles. I also have 13 nokia mobiles (it is a funny story how I have 13 of them: initially I had 58, then I also got another 15 making it a total of 73, then I got another 14 making it a total of 87, but then I lost 74 of them so eventually I am left with 13 of them now). My sister has 60 llamas. My sister also has 8 samsung galaxy a15 mobiles. My brother also has 11 ambrosia apples. My sister also has 19 lemurs. I also have 66 pears (here is why I have these many: initially I had 78 of them, then I lost 39 of them, but then I got another 95 of them, but then I lost 68 of them, so at the end I am left with 66 of them). My grandfather has 51 dolphins. My brother also has 14 lemons. My uncle also has 80 riesling grapes. I also have 39 starfruits (I really like them). I also have 95 badgers (here is why I have these many: initially I had 33 of them, then I lost 10 of them, but then I got another 73 of them, but then I lost 1 of them, so at the end I am left with 95 of them). My grandmother has 92 envy apples. My friend has 8 strawberrys. My father also has 21 camels. My friend also has 13 cats. My sister also has 42 oneplus mobiles. I also have 58 leopards (it is a funny story how I have 58 of them: initially I had 86, then I also got another 98 making it a total of 184, then I got another 34 making it a total of 218, but then I lost 160 of them so eventually I am left with 58 of them now). My aunt also has 36 alligators. My grandfather also has 26 samsung galaxy a55 mobiles. I also have 2 peaches (received them last week). I also have 56 aardvarks (received them last month). I also have 46 huawei nova 12i mobiles (here is why I have these many: initially I had 78 of them, then I lost 48 of them, but then I got another 65 of them, but then I lost 49 of them, so at the end I am left with 46 of them). I also have 14 huawei mate 70 mobiles (here is why I have these many: initially I had 24 of them, then I lost 19 of them, but then I got another 82 of them, but then I lost 73 of them, so at the end I am left with 14 of them). My uncle also has 65 iphone 6 mobiles. I also have 82 vivo mobiles (it is a funny story how I have 82 of them: initially I had 34, then I also got another 17 making it a total of 51, then I got another 85 making it a total of 136, but then I lost 54 of them so eventually I am left with 82 of them now). My father also has 19 xiaomi mobiles. My aunt also has 47 geese. My uncle also has 34 chardonnay grapes. My grandfather also has 67 ponys. My mother also has 27 goldfish. I also have 18 wasps (very happy to have them). My cousin has 70 ginger gold apples. My aunt also has 74 groundhogs. My cousin also has 42 iphone 14 mobiles. My sister also has 27 cockroaches. I also have 5 raspberrys (feeling great about this). My grandmother also has 92 apes. I also have 72 corgis (it is a funny story how I have 72 of them: initially I had 52, then I also got another 86 making it a total of 138, then I got another 86 making it a total of 224, but then I lost 152 of them so eventually I am left with 72 of them now). I also have 19 iguanas (here is why I have these many: initially I had 82 of them, then I lost 14 of them, but then I got another 38 of them, but then I lost 87 of them, so at the end I am left with 19 of them). My brother also has 79 samsung galaxy a35 mobiles. I also have 96 spartan apples (here is why I have these many: initially I had 25 of them, then I lost 14 of them, but then I got another 86 of them, but then I lost 1 of them, so at the end I am left with 96 of them). My grandfather also has 43 realme mobiles. I also have 24 storks (one day, I will have more of them). I also have 97 donkeys (here is why I have these many: initially I had 66 of them, then I lost 64 of them, but then I got another 98 of them, but then I lost 3 of them, so at the end I am left with 97 of them). My grandmother also has 80 sharks. I also have 79 nebbiolo grapes (it is a funny story how I have 79 of them: initially I had 96, then I also got another 85 making it a total of 181, then I got another 98 making it a total of 279, but then I lost 200 of them so eventually I am left with 79 of them now). My cousin also has 13 grapefruits. My friend also has 56 vultures. My sister also has 97 persimmons. My uncle also has 15 samsung galaxy s24 mobiles. My grandfather also has 21 huawei pura 70 mobiles. I also have 98 bisons (planning to have more in the future). I also have 16 pink lady apples (here is why I have these many: initially I had 65 of them, then I lost 27 of them, but then I got another 44 of them, but then I lost 66 of them, so at the end I am left with 16 of them). My brother also has 25 quinces. My uncle also has 77 toads. My mother also has 54 honeydews. My aunt also has 7 kiwis. I also have 34 boars (it is a funny story how I have 34 of them: initially I had 78, then I also got another 13 making it a total of 91, then I got another 39 making it a total of 130, but then I lost 96 of them so eventually I am left with 34 of them now). I also have 57 zte mobiles (planning to have more in the future). My uncle also has 43 durians. My mother also has 91 clementinefigs. I also have 93 honeycrisp apples (here is why I have these many: initially I had 96 of them, then I lost 11 of them, but then I got another 45 of them, but then I lost 37 of them, so at the end I am left with 93 of them). My mother also has 70 nectarines. My father also has 38 dragonfruits. My cousin also has 79 elks. My sister also has 77 merlot grapes. I also have 22 zebras (here is why I have these many: initially I had 78 of them, then I lost 13 of them, but then I got another 55 of them, but then I lost 98 of them, so at the end I am left with 22 of them). My father also has 22 pigeons. I also have 20 samsung galaxy z fold6 mobiles (it is a funny story how I have 20 of them: initially I had 76, then I also got another 32 making it a total of 108, then I got another 17 making it a total of 125, but then I lost 105 of them so eventually I am left with 20 of them now). My grandmother also has 99 iphone 16 mobiles. I also have 47 cotton candy grapes (here is why I have these many: initially I had 36 of them, then I lost 13 of them, but then I got another 63 of them, but then I lost 39 of them, so at the end I am left with 47 of them). My mother also has 60 salamanders. My grandfather also has 17 pomegranates. My friend also has 45 iphone 4 mobiles. I also have 28 huawei nova 12 pro mobiles (feeling good about this). My father also has 99 buffaloes. What is the sum of the total number of mobiles and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:080", "request": "My uncle has 71 penguins. My grandfather has 31 iphone x mobiles. My uncle also has 30 sruti boxes. I have 10 samsung galaxy c55 mobiles (it is a funny story how I have 10 of them: initially I had 83, then I also got another 67 making it a total of 150, then I got another 25 making it a total of 175, but then I lost 165 of them so eventually I am left with 10 of them now). My grandmother has 70 synthesizer keyboards. I also have 29 iphone 12 mobiles (thrilled to have these). My mother has 66 walrus. My friend has 67 sitars. I also have 84 electric violins (it is a funny story how I have 84 of them: initially I had 97, then I also got another 48 making it a total of 145, then I got another 69 making it a total of 214, but then I lost 130 of them so eventually I am left with 84 of them now). My grandmother also has 24 sazzes. My grandfather also has 16 alpacas. I also have 28 violins (feeling good about this). My brother has 21 nadaswarams. My father has 2 huawei nova 12 pro mobiles. My uncle also has 67 n'gonis. I also have 76 oboes (thrilled to have these). My grandmother also has 14 lizards. My father also has 59 guitars. My friend also has 19 goats. My uncle also has 82 samsung galaxy a15 mobiles. My uncle also has 98 manatees. My father also has 94 hens. I also have 24 samsung galaxy a16 mobiles (it is a funny story how I have 24 of them: initially I had 58, then I also got another 91 making it a total of 149, then I got another 47 making it a total of 196, but then I lost 172 of them so eventually I am left with 24 of them now). My cousin has 77 reindeer. I also have 60 ferrets (it is a funny story how I have 60 of them: initially I had 65, then I also got another 59 making it a total of 124, then I got another 26 making it a total of 150, but then I lost 90 of them so eventually I am left with 60 of them now). My mother also has 70 seahorses. I also have 89 electric pianos (here is why I have these many: initially I had 53 of them, then I lost 16 of them, but then I got another 84 of them, but then I lost 32 of them, so at the end I am left with 89 of them). I also have 98 huawei nova 12s mobiles (I really like them). I also have 24 wolves (received them yesterday). I also have 59 autoharps (received them last week). My grandmother also has 7 balafons. My friend also has 23 mridangams. My uncle also has 7 turtles. My father also has 85 bongos. I also have 64 huawei pura 70 mobiles (here is why I have these many: initially I had 55 of them, then I lost 10 of them, but then I got another 94 of them, but then I lost 75 of them, so at the end I am left with 64 of them). I also have 29 recorders (here is why I have these many: initially I had 95 of them, then I lost 14 of them, but then I got another 47 of them, but then I lost 99 of them, so at the end I am left with 29 of them). My father also has 69 iphone 16 mobiles. I also have 1 harmonica (here is why I have these many: initially I had 63 of them, then I lost 25 of them, but then I got another 93 of them, but then I lost 130 of them, so at the end I am left with 1 of them). I also have 62 octopus (received them yesterday). My sister has 81 hummingbirds. My cousin also has 75 accordions. I also have 63 google (pixel) mobiles (hope to have more in the future). I also have 78 iphone 13 mobiles (thrilled to have these). I also have 97 lg mobiles (hope to have more in the future). I also have 36 huawei mate 70 mobiles (here is why I have these many: initially I had 55 of them, then I lost 33 of them, but then I got another 53 of them, but then I lost 39 of them, so at the end I am left with 36 of them). My cousin also has 83 mamba snakes. My father also has 52 bagpipes. My aunt has 33 samsung galaxy a35 mobiles. I also have 81 pandas (it is a funny story how I have 81 of them: initially I had 91, then I also got another 46 making it a total of 137, then I got another 78 making it a total of 215, but then I lost 134 of them so eventually I am left with 81 of them now). My sister also has 46 crabs. I also have 19 xiaomi mobiles (it is a funny story how I have 19 of them: initially I had 15, then I also got another 13 making it a total of 28, then I got another 84 making it a total of 112, but then I lost 93 of them so eventually I am left with 19 of them now). I also have 4 giraffes (here is why I have these many: initially I had 63 of them, then I lost 44 of them, but then I got another 73 of them, but then I lost 88 of them, so at the end I am left with 4 of them). My cousin also has 33 tambourines. My grandfather also has 91 donkeys. My aunt also has 8 djembes. My sister also has 35 huawei nova 13 mobiles. I also have 60 zebras (it is a funny story how I have 60 of them: initially I had 74, then I also got another 88 making it a total of 162, then I got another 58 making it a total of 220, but then I lost 160 of them so eventually I am left with 60 of them now). I also have 90 iphone 7 mobiles (I do not think I need this much). My brother also has 11 htc mobiles. I also have 41 ukuleles (here is why I have these many: initially I had 47 of them, then I lost 13 of them, but then I got another 97 of them, but then I lost 90 of them, so at the end I am left with 41 of them). My uncle also has 95 mbiras. My sister also has 63 wasps. I also have 55 elephants (they were given to me as a gift). My brother also has 30 cod. I also have 63 bassoons (here is why I have these many: initially I had 38 of them, then I lost 21 of them, but then I got another 54 of them, but then I lost 8 of them, so at the end I am left with 63 of them). My aunt also has 80 samsung galaxy m55s mobiles. My mother also has 37 lemurs. My cousin also has 87 bansuris. My father also has 97 blackberry mobiles. My uncle also has 89 cockroaches. I also have 1 salmon (here is why I have these many: initially I had 68 of them, then I lost 64 of them, but then I got another 53 of them, but then I lost 56 of them, so at the end I am left with 1 of them). I also have 45 samsung galaxy s24 mobiles (received them last month). My uncle also has 88 ravens. My grandmother also has 23 biwas. I also have 6 trumpets (they were given to me as a gift). My grandfather also has 6 rhinoceros. My friend also has 26 rebecs. My mother also has 75 zte mobiles. I also have 42 trombones (hope to have more in the future). My cousin also has 32 deer. I also have 86 huawei mate x6 mobiles (hope to have more in the future). My grandmother also has 46 iguanas. My father also has 66 sony mobiles. I also have 11 oppo mobiles (it is a funny story how I have 11 of them: initially I had 45, then I also got another 91 making it a total of 136, then I got another 75 making it a total of 211, but then I lost 200 of them so eventually I am left with 11 of them now). I also have 67 camels (planning to have more in the future). I also have 99 tablas (here is why I have these many: initially I had 76 of them, then I lost 10 of them, but then I got another 45 of them, but then I lost 12 of them, so at the end I am left with 99 of them). I also have 7 iphone 11 mobiles (thrilled to have these). My grandmother also has 18 llamas. My grandfather also has 75 samsung galaxy z fold6 mobiles. My friend also has 20 cats. My father also has 20 samsung galaxy f05 mobiles. My grandfather also has 35 bees. I also have 40 kalimbas (hope to have more in the future). My father also has 90 shehnais. My mother also has 59 samsung galaxy tab s10 mobiles. I also have 44 impalas (I really like them). My grandmother also has 89 kingsnakes. I also have 42 meizu mobiles (hope to have more in the future). My mother also has 36 saxophones. I also have 85 storks (it is a funny story how I have 85 of them: initially I had 30, then I also got another 52 making it a total of 82, then I got another 43 making it a total of 125, but then I lost 40 of them so eventually I am left with 85 of them now). My uncle also has 59 electric drums. My brother also has 16 crocodiles. I also have 76 samsung galaxy z fold5 mobiles (received them last week). My cousin also has 67 panpipes. I also have 30 tanpuras (one day, I will have more of them). My uncle also has 97 elks. I also have 36 cheetahs (feeling good about this). My mother also has 15 clavichords. I also have 62 fish (it is a funny story how I have 62 of them: initially I had 84, then I also got another 78 making it a total of 162, then I got another 30 making it a total of 192, but then I lost 130 of them so eventually I am left with 62 of them now). My cousin also has 11 koras. My aunt also has 34 kotoes. My brother also has 13 mice. I also have 28 chimpanzees (here is why I have these many: initially I had 58 of them, then I lost 48 of them, but then I got another 49 of them, but then I lost 31 of them, so at the end I am left with 28 of them). My sister also has 67 didgeridoos. My sister also has 80 baboons. I also have 48 salamanders (I am in love with them). I also have 60 huawei nova 12i mobiles (here is why I have these many: initially I had 89 of them, then I lost 16 of them, but then I got another 16 of them, but then I lost 29 of them, so at the end I am left with 60 of them). I also have 4 opossums (here is why I have these many: initially I had 35 of them, then I lost 27 of them, but then I got another 57 of them, but then I lost 61 of them, so at the end I am left with 4 of them). I also have 71 parrots (it is a funny story how I have 71 of them: initially I had 59, then I also got another 39 making it a total of 98, then I got another 66 making it a total of 164, but then I lost 93 of them so eventually I am left with 71 of them now). I also have 56 flamingoes (they are great). I also have 90 setars (received them yesterday). My brother also has 84 vibraphone, steelpans. I also have 58 iphone 5 mobiles (hope to have more in the future). I also have 92 foxes (here is why I have these many: initially I had 54 of them, then I lost 28 of them, but then I got another 99 of them, but then I lost 33 of them, so at the end I am left with 92 of them). What is the sum of the total number of musical instruments and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:085", "request": "I have 84 autoharps (it is a funny story how I have 84 of them: initially I had 77, then I also got another 52 making it a total of 129, then I got another 36 making it a total of 165, but then I lost 81 of them so eventually I am left with 84 of them now). I also have 41 eagles (feeling good about this). I also have 42 xylophones (they are great). My father has 19 rattlesnakes. I also have 45 clarinets (it is a funny story how I have 45 of them: initially I had 57, then I also got another 10 making it a total of 67, then I got another 92 making it a total of 159, but then I lost 114 of them so eventually I am left with 45 of them now). My father also has 52 violins. I also have 67 durians (here is why I have these many: initially I had 24 of them, then I lost 23 of them, but then I got another 98 of them, but then I lost 32 of them, so at the end I am left with 67 of them). I also have 40 vibraphone, steelpans (here is why I have these many: initially I had 86 of them, then I lost 38 of them, but then I got another 97 of them, but then I lost 105 of them, so at the end I am left with 40 of them). My grandmother has 35 penguins. My grandfather has 67 tablas. My brother has 23 drums. I also have 24 mridangams (it is a funny story how I have 24 of them: initially I had 82, then I also got another 86 making it a total of 168, then I got another 41 making it a total of 209, but then I lost 185 of them so eventually I am left with 24 of them now). I also have 31 magpies (here is why I have these many: initially I had 77 of them, then I lost 37 of them, but then I got another 35 of them, but then I lost 44 of them, so at the end I am left with 31 of them). My mother has 83 saxophones. My friend has 72 panpipes. My father also has 95 guitars. My brother also has 86 pinot noir grapes. My grandmother also has 84 beavers. I also have 50 dolphins (received them yesterday). My friend also has 8 cellos. I also have 58 djembes (here is why I have these many: initially I had 70 of them, then I lost 39 of them, but then I got another 82 of them, but then I lost 55 of them, so at the end I am left with 58 of them). My uncle has 53 watermelons. My mother also has 28 nectarines. My friend also has 58 n'gonis. My mother also has 93 envy apples. I also have 95 setars (it is a funny story how I have 95 of them: initially I had 54, then I also got another 97 making it a total of 151, then I got another 24 making it a total of 175, but then I lost 80 of them so eventually I am left with 95 of them now). I also have 15 oboes (I do not think I need this much). I also have 89 clementinefigs (very happy to have them). My grandfather also has 32 honeydews. I also have 78 ginger gold apples (it is a funny story how I have 78 of them: initially I had 32, then I also got another 86 making it a total of 118, then I got another 19 making it a total of 137, but then I lost 59 of them so eventually I am left with 78 of them now). I also have 68 cherrys (it is a funny story how I have 68 of them: initially I had 54, then I also got another 71 making it a total of 125, then I got another 84 making it a total of 209, but then I lost 141 of them so eventually I am left with 68 of them now). My sister has 63 hammered dulcimers. I also have 48 toads (here is why I have these many: initially I had 64 of them, then I lost 19 of them, but then I got another 66 of them, but then I lost 63 of them, so at the end I am left with 48 of them). My brother also has 51 rababs. I also have 29 viper snakes (feeling good about this). I also have 43 boars (here is why I have these many: initially I had 44 of them, then I lost 12 of them, but then I got another 52 of them, but then I lost 41 of them, so at the end I am left with 43 of them). My grandfather also has 95 electric pianos. I also have 65 leopards (very happy to have them). My friend also has 16 tars. I also have 85 theremins (I like these a lot). My mother also has 39 bouzoukis. I also have 81 papayas (here is why I have these many: initially I had 58 of them, then I lost 22 of them, but then I got another 55 of them, but then I lost 10 of them, so at the end I am left with 81 of them). My father also has 45 impalas. My uncle also has 5 corgis. I also have 48 ambrosia apples (maybe I just need some of them). I also have 59 groundhogs (I do not think I need this much). My brother also has 74 soursops. My aunt has 96 kingsnakes. My father also has 88 castanets. I also have 27 nebbiolo grapes (received them last week). My aunt also has 45 horses. My uncle also has 5 shamisens. My brother also has 58 cantaloupes. My sister also has 14 pomegranates. My brother also has 8 zithers. My father also has 96 geese. My uncle also has 57 plums. I also have 55 autumn royal grapes (thrilled to have these). I also have 19 narwhals (received them last month). My aunt also has 16 bears. I also have 92 llamas (it is a funny story how I have 92 of them: initially I had 79, then I also got another 46 making it a total of 125, then I got another 33 making it a total of 158, but then I lost 66 of them so eventually I am left with 92 of them now). I also have 37 manatees (thrilled to have these). My friend also has 57 baboons. I also have 31 rabbits (it is a funny story how I have 31 of them: initially I had 22, then I also got another 64 making it a total of 86, then I got another 40 making it a total of 126, but then I lost 95 of them so eventually I am left with 31 of them now). My aunt also has 7 chinchillas. I also have 51 nadaswarams (I am in love with them). My sister also has 97 pipas. My father also has 47 emus. My sister also has 34 wasps. My father also has 53 flamingoes. I also have 67 cotton candy grapes (I am in love with them). My brother also has 93 organs. My brother also has 80 mangoes. My aunt also has 84 hyenas. My grandfather also has 54 pears. My mother also has 3 jazz apples. I also have 42 bagpipes (feeling great about this). I also have 79 gala apples (here is why I have these many: initially I had 27 of them, then I lost 12 of them, but then I got another 85 of them, but then I lost 21 of them, so at the end I am left with 79 of them). I also have 75 harmonicas (they were given to me as a gift). I also have 90 rebecs (here is why I have these many: initially I had 44 of them, then I lost 38 of them, but then I got another 90 of them, but then I lost 6 of them, so at the end I am left with 90 of them). I also have 86 mulberrys (it is a funny story how I have 86 of them: initially I had 48, then I also got another 20 making it a total of 68, then I got another 23 making it a total of 91, but then I lost 5 of them so eventually I am left with 86 of them now). I also have 85 hummingbirds (it is a funny story how I have 85 of them: initially I had 87, then I also got another 24 making it a total of 111, then I got another 58 making it a total of 169, but then I lost 84 of them so eventually I am left with 85 of them now). I also have 54 banjoes (here is why I have these many: initially I had 64 of them, then I lost 51 of them, but then I got another 85 of them, but then I lost 44 of them, so at the end I am left with 54 of them). My mother also has 42 aardvarks. I also have 2 cranberrys (here is why I have these many: initially I had 35 of them, then I lost 24 of them, but then I got another 96 of them, but then I lost 105 of them, so at the end I am left with 2 of them). I also have 8 alpacas (I am in love with them). My grandmother also has 73 ocarinas. I also have 52 kazoos (feeling good about this). I also have 17 clavichords (very happy to have them). My sister also has 30 echidnas. I also have 15 ponys (one day, I will have more of them). My uncle also has 62 raspberrys. My sister also has 22 python snakes. My friend also has 27 butterflys. My brother also has 41 octopus. My aunt also has 20 strawberrys. I also have 79 bats (it is a funny story how I have 79 of them: initially I had 36, then I also got another 90 making it a total of 126, then I got another 80 making it a total of 206, but then I lost 127 of them so eventually I am left with 79 of them now). My grandfather also has 15 lemons. My sister also has 1 apricot. My aunt also has 64 merlot grapes. I also have 98 bisons (it is a funny story how I have 98 of them: initially I had 66, then I also got another 83 making it a total of 149, then I got another 19 making it a total of 168, but then I lost 70 of them so eventually I am left with 98 of them now). I also have 66 seals (one day, I will have more of them). What is the absolute difference of the total number of animals/insects and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:087", "request": "My friend has 79 pink lady apples. My sister has 94 rats. My grandfather has 66 meizu mobiles. My uncle has 90 iphone 15 mobiles. I have 33 crows (it is a funny story how I have 33 of them: initially I had 94, then I also got another 45 making it a total of 139, then I got another 50 making it a total of 189, but then I lost 156 of them so eventually I am left with 33 of them now). My brother has 61 beavers. I also have 52 hummingbirds (feeling great about this). I also have 45 viper snakes (I really like them). My sister also has 88 leopards. I also have 58 watermelons (here is why I have these many: initially I had 41 of them, then I lost 25 of them, but then I got another 72 of them, but then I lost 30 of them, so at the end I am left with 58 of them). My cousin has 11 iphone 13 mobiles. My brother also has 72 iphone 6 mobiles. I also have 84 rattlesnakes (happt to have them). My brother also has 27 penguins. My father has 73 realme mobiles. My cousin also has 47 merlot grapes. I also have 47 honor mobiles (here is why I have these many: initially I had 50 of them, then I lost 20 of them, but then I got another 85 of them, but then I lost 68 of them, so at the end I am left with 47 of them). My mother has 57 pinot noir grapes. I also have 12 oppo mobiles (here is why I have these many: initially I had 15 of them, then I lost 14 of them, but then I got another 97 of them, but then I lost 86 of them, so at the end I am left with 12 of them). My sister also has 41 nebbiolo grapes. My father also has 26 mules. I also have 38 zte mobiles (I do not think I need this much). My cousin also has 71 cranes. My mother also has 83 turkeys. I also have 68 autumn royal grapes (it is a funny story how I have 68 of them: initially I had 56, then I also got another 11 making it a total of 67, then I got another 43 making it a total of 110, but then I lost 42 of them so eventually I am left with 68 of them now). My cousin also has 49 emus. My father also has 18 grapefruits. I also have 97 mangoes (here is why I have these many: initially I had 90 of them, then I lost 55 of them, but then I got another 73 of them, but then I lost 11 of them, so at the end I am left with 97 of them). I also have 14 moose (received them last week). My aunt has 33 cantaloupes. My cousin also has 85 impalas. I also have 51 trout (they are great). I also have 91 iphone 8 mobiles (here is why I have these many: initially I had 37 of them, then I lost 18 of them, but then I got another 88 of them, but then I lost 16 of them, so at the end I am left with 91 of them). My grandmother has 25 lg mobiles. My father also has 32 alpacas. My grandmother also has 35 cherrys. My aunt also has 12 clementinefigs. I also have 79 spartan apples (received them last month). I also have 49 pandas (it is a funny story how I have 49 of them: initially I had 75, then I also got another 92 making it a total of 167, then I got another 26 making it a total of 193, but then I lost 144 of them so eventually I am left with 49 of them now). My cousin also has 82 xiaomi mobiles. I also have 95 iphone 14 mobiles (it is a funny story how I have 95 of them: initially I had 70, then I also got another 29 making it a total of 99, then I got another 98 making it a total of 197, but then I lost 102 of them so eventually I am left with 95 of them now). My sister also has 43 tecno mobiles. My friend also has 6 canarys. My cousin also has 41 samsung galaxy c55 mobiles. My grandmother also has 31 ambrosia apples. My friend also has 48 vivo mobiles. My father also has 64 huawei pura 70 pro mobiles. I also have 7 huawei pura 70 mobiles (thrilled to have these). My grandmother also has 57 cheetahs. I also have 26 pineapples (it is a funny story how I have 26 of them: initially I had 65, then I also got another 32 making it a total of 97, then I got another 90 making it a total of 187, but then I lost 161 of them so eventually I am left with 26 of them now). My grandmother also has 2 kangaroos. I also have 44 nokia mobiles (they were given to me as a gift). My grandfather also has 81 dragonfruits. My father also has 85 riesling grapes. I also have 89 samsung galaxy s24 mobiles (I like these a lot). I also have 11 iphone 4 mobiles (planning to have more in the future). My aunt also has 38 ferrets. My cousin also has 42 google (pixel) mobiles. My aunt also has 45 iphone 16 mobiles. My aunt also has 73 peaches. My mother also has 1 jonagold apple. I also have 3 crocodiles (they were given to me as a gift). My grandmother also has 87 grenache grapes. I also have 71 tigers (here is why I have these many: initially I had 80 of them, then I lost 60 of them, but then I got another 60 of them, but then I lost 9 of them, so at the end I am left with 71 of them). My mother also has 74 huawei nova 12 pro mobiles. I also have 89 lemons (happt to have them). My cousin also has 33 elderberryoranges. My cousin also has 79 squirrels. My friend also has 70 oneplus mobiles. My uncle also has 22 chinchillas. My brother also has 41 fuji apples. I also have 74 donkeys (it is a funny story how I have 74 of them: initially I had 89, then I also got another 18 making it a total of 107, then I got another 49 making it a total of 156, but then I lost 82 of them so eventually I am left with 74 of them now). My uncle also has 8 breadfruits. I also have 20 eagles (here is why I have these many: initially I had 55 of them, then I lost 53 of them, but then I got another 25 of them, but then I lost 7 of them, so at the end I am left with 20 of them). My grandmother also has 60 ginger gold apples. I also have 93 bats (here is why I have these many: initially I had 14 of them, then I lost 12 of them, but then I got another 92 of them, but then I lost 1 of them, so at the end I am left with 93 of them). I also have 5 ducks (they are great). My uncle also has 19 plums. I also have 68 sony mobiles (thrilled to have these). I also have 55 hamsters (here is why I have these many: initially I had 16 of them, then I lost 13 of them, but then I got another 67 of them, but then I lost 15 of them, so at the end I am left with 55 of them). I also have 23 huawei nova 13 mobiles (they are great). My grandfather also has 64 samsung galaxy a15 mobiles. My sister also has 76 goats. I also have 94 blueberrys (thrilled to have these). My aunt also has 8 skunks. My cousin also has 67 chardonnay grapes. My uncle also has 8 blackberry mobiles. My grandfather also has 56 manatees. My father also has 77 bananas. I also have 99 mice (I do not think I need this much). I also have 59 hedgehogs (here is why I have these many: initially I had 60 of them, then I lost 42 of them, but then I got another 68 of them, but then I lost 27 of them, so at the end I am left with 59 of them). My cousin also has 91 tortoises. I also have 39 honeydews (here is why I have these many: initially I had 12 of them, then I lost 11 of them, but then I got another 40 of them, but then I lost 2 of them, so at the end I am left with 39 of them). My grandfather also has 22 huawei nova 12i mobiles. I also have 86 cotton candy grapes (it is a funny story how I have 86 of them: initially I had 20, then I also got another 21 making it a total of 41, then I got another 95 making it a total of 136, but then I lost 50 of them so eventually I am left with 86 of them now). I also have 21 samsung galaxy z fold6 mobiles (it is a funny story how I have 21 of them: initially I had 68, then I also got another 63 making it a total of 131, then I got another 97 making it a total of 228, but then I lost 207 of them so eventually I am left with 21 of them now). I also have 10 foxes (hope to have more in the future). My brother also has 34 dogs. My sister also has 67 sloths. My grandmother also has 66 iphone x mobiles. I also have 27 ravens (here is why I have these many: initially I had 92 of them, then I lost 36 of them, but then I got another 65 of them, but then I lost 94 of them, so at the end I am left with 27 of them). I also have 55 llamas (received them yesterday). My mother also has 96 papayas. My brother also has 46 wolves. My aunt also has 36 huawei pura 70 ultra mobiles. I also have 22 magpies (hope to have more in the future). My grandfather also has 40 raspberrys. My grandfather also has 24 cockroaches. My friend also has 56 honeycrisp apples. I also have 83 otters (it is a funny story how I have 83 of them: initially I had 58, then I also got another 77 making it a total of 135, then I got another 52 making it a total of 187, but then I lost 104 of them so eventually I am left with 83 of them now). I also have 14 albatross (they are great). What is the absolute difference of the total number of animals/insects and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:091", "request": "I have 28 nissan titan cars (it is a funny story how I have 28 of them: initially I had 87, then I also got another 78 making it a total of 165, then I got another 56 making it a total of 221, but then I lost 193 of them so eventually I am left with 28 of them now). My grandfather has 71 autumn royal grapes. My aunt has 84 papayas. I also have 22 volkswagen golf cars (I really like them). I also have 2 honda cr-v cars (here is why I have these many: initially I had 73 of them, then I lost 33 of them, but then I got another 73 of them, but then I lost 111 of them, so at the end I am left with 2 of them). I also have 65 soursops (very happy to have them). I also have 61 apricots (here is why I have these many: initially I had 55 of them, then I lost 53 of them, but then I got another 80 of them, but then I lost 21 of them, so at the end I am left with 61 of them). My mother has 80 grenache grapes. I also have 83 pomegranates (they were given to me as a gift). My uncle has 86 lg mobiles. I also have 14 persimmons (they were given to me as a gift). I also have 51 iphone 11 mobiles (here is why I have these many: initially I had 30 of them, then I lost 17 of them, but then I got another 42 of them, but then I lost 4 of them, so at the end I am left with 51 of them). I also have 84 guavas (I really like them). My mother also has 38 dodge challenger cars. My mother also has 7 strawberrys. My grandfather also has 4 vivo mobiles. My mother also has 18 jazz apples. I also have 87 toyota prius cars (here is why I have these many: initially I had 37 of them, then I lost 15 of them, but then I got another 96 of them, but then I lost 31 of them, so at the end I am left with 87 of them). I also have 65 jonagold apples (here is why I have these many: initially I had 29 of them, then I lost 15 of them, but then I got another 91 of them, but then I lost 40 of them, so at the end I am left with 65 of them). My sister has 27 clementinefigs. I also have 50 zte mobiles (feeling good about this). I also have 15 nissan frintier cars (happt to have them). I also have 30 samsung galaxy z fold5 mobiles (I really like them). I also have 5 lychees (thrilled to have these). I also have 11 toyota rav4 cars (hope to have more in the future). My friend has 19 nissan leaf cars. My grandfather also has 71 huawei mate x6 mobiles. I also have 82 spartan apples (here is why I have these many: initially I had 86 of them, then I lost 32 of them, but then I got another 66 of them, but then I lost 38 of them, so at the end I am left with 82 of them). I also have 81 toyota sienna cars (here is why I have these many: initially I had 48 of them, then I lost 29 of them, but then I got another 68 of them, but then I lost 6 of them, so at the end I am left with 81 of them). I also have 74 muscat grapes (they are great). I also have 28 sony mobiles (here is why I have these many: initially I had 45 of them, then I lost 27 of them, but then I got another 53 of them, but then I lost 43 of them, so at the end I am left with 28 of them). I also have 86 iphone 8 mobiles (happt to have them). My friend also has 52 oppo mobiles. My grandfather also has 60 iphone 12 mobiles. I also have 3 tesla model s cars (it is a funny story how I have 3 of them: initially I had 52, then I also got another 34 making it a total of 86, then I got another 29 making it a total of 115, but then I lost 112 of them so eventually I am left with 3 of them now). I also have 77 huawei pura 70 pro mobiles (it is a funny story how I have 77 of them: initially I had 81, then I also got another 20 making it a total of 101, then I got another 82 making it a total of 183, but then I lost 106 of them so eventually I am left with 77 of them now). My grandmother has 60 mazda cx-50 cars. My aunt also has 32 toyota camry cars. My aunt also has 25 iphone 6 mobiles. My father has 58 buick enclave cars. I also have 43 iphone 14 mobiles (it is a funny story how I have 43 of them: initially I had 46, then I also got another 41 making it a total of 87, then I got another 72 making it a total of 159, but then I lost 116 of them so eventually I am left with 43 of them now). I also have 93 samsung galaxy m55s mobiles (here is why I have these many: initially I had 37 of them, then I lost 23 of them, but then I got another 97 of them, but then I lost 18 of them, so at the end I am left with 93 of them). I also have 29 cotton candy grapes (hope to have more in the future). My grandfather also has 28 samsung galaxy tab s10 mobiles. I also have 84 nissan altima cars (I like these a lot). My father also has 37 samsung galaxy a16 mobiles. My uncle also has 48 pink lady apples. I also have 59 motorola mobiles (here is why I have these many: initially I had 20 of them, then I lost 17 of them, but then I got another 60 of them, but then I lost 4 of them, so at the end I am left with 59 of them). I also have 73 hyundai elantra cars (received them yesterday). I also have 60 gala apples (it is a funny story how I have 60 of them: initially I had 98, then I also got another 45 making it a total of 143, then I got another 13 making it a total of 156, but then I lost 96 of them so eventually I am left with 60 of them now). My grandfather also has 70 honeydews. My grandfather also has 85 honda passport cars. My grandmother also has 94 merlot grapes. My brother has 78 dates. I also have 38 durians (it is a funny story how I have 38 of them: initially I had 73, then I also got another 50 making it a total of 123, then I got another 13 making it a total of 136, but then I lost 98 of them so eventually I am left with 38 of them now). I also have 91 nissan pathfinder cars (it is a funny story how I have 91 of them: initially I had 98, then I also got another 70 making it a total of 168, then I got another 98 making it a total of 266, but then I lost 175 of them so eventually I am left with 91 of them now). My friend also has 12 bananas. My friend also has 65 samsung galaxy a55 mobiles. I also have 26 nissan kicks cars (here is why I have these many: initially I had 54 of them, then I lost 50 of them, but then I got another 71 of them, but then I lost 49 of them, so at the end I am left with 26 of them). I also have 50 google (pixel) mobiles (hope to have more in the future). My brother also has 5 samsung galaxy a15 mobiles. My grandmother also has 98 subaru ascent cars. I also have 74 meizu mobiles (here is why I have these many: initially I had 22 of them, then I lost 12 of them, but then I got another 97 of them, but then I lost 33 of them, so at the end I am left with 74 of them). I also have 98 jeep gladiator cars (here is why I have these many: initially I had 46 of them, then I lost 35 of them, but then I got another 95 of them, but then I lost 8 of them, so at the end I am left with 98 of them). My mother also has 51 honda element cars. My cousin has 79 coconuts. My sister also has 6 kiwis. I also have 65 htc mobiles (it is a funny story how I have 65 of them: initially I had 23, then I also got another 60 making it a total of 83, then I got another 87 making it a total of 170, but then I lost 105 of them so eventually I am left with 65 of them now). My sister also has 27 toyota highlander cars. My aunt also has 82 honda pilot cars. My brother also has 65 huawei nova 12s mobiles. I also have 11 blackberry mobiles (here is why I have these many: initially I had 89 of them, then I lost 22 of them, but then I got another 67 of them, but then I lost 123 of them, so at the end I am left with 11 of them). My mother also has 47 syrah grapes. My cousin also has 16 nokia mobiles. I also have 30 toyota avalon cars (planning to have more in the future). My father also has 82 toyota tacoma cars. My uncle also has 72 cantaloupes. My uncle also has 56 mazda mx-30 cars. My aunt also has 82 toyota corolla cars. I also have 53 breadfruits (I do not think I need this much). My grandfather also has 39 iphone 4 mobiles. My grandmother also has 59 mazda3 cars. I also have 49 huawei nova 13 mobiles (here is why I have these many: initially I had 28 of them, then I lost 15 of them, but then I got another 94 of them, but then I lost 58 of them, so at the end I am left with 49 of them). My grandmother also has 83 iphone 5 mobiles. My uncle also has 96 honda civic cars. I also have 41 plums (very happy to have them). I also have 74 huawei nova 12i mobiles (it is a funny story how I have 74 of them: initially I had 97, then I also got another 81 making it a total of 178, then I got another 18 making it a total of 196, but then I lost 122 of them so eventually I am left with 74 of them now). I also have 50 honda hr-v cars (one day, I will have more of them). I also have 79 envy apples (planning to have more in the future). My grandfather also has 86 honor mobiles. My cousin also has 6 honda cr-z cars. My cousin also has 47 nissan rogue cars. I also have 59 samsung galaxy f05 mobiles (it is a funny story how I have 59 of them: initially I had 89, then I also got another 35 making it a total of 124, then I got another 83 making it a total of 207, but then I lost 148 of them so eventually I am left with 59 of them now). My uncle also has 22 toyota 4runnertoyota sequoia cars. My grandfather also has 29 cherrys. What is the sum of the total number of mobiles and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:093", "request": "I have 78 iphone 14 mobiles (here is why I have these many: initially I had 60 of them, then I lost 59 of them, but then I got another 95 of them, but then I lost 18 of them, so at the end I am left with 78 of them). I also have 75 blackberry mobiles (here is why I have these many: initially I had 39 of them, then I lost 17 of them, but then I got another 55 of them, but then I lost 2 of them, so at the end I am left with 75 of them). My aunt has 54 mazda cx-30 cars. I also have 76 mridangams (I do not think I need this much). My uncle has 22 clarinets. I also have 49 tecno mobiles (I like these a lot). My grandmother has 23 castanets. My grandmother also has 80 nissan frintier cars. My father has 55 subaru outback cars. My brother has 51 mazda cx-70 cars. My cousin has 66 kia niro cars. I also have 70 huawei mate x6 mobiles (here is why I have these many: initially I had 78 of them, then I lost 66 of them, but then I got another 71 of them, but then I lost 13 of them, so at the end I am left with 70 of them). My cousin also has 33 nissan titan cars. My grandmother also has 63 honda element cars. My brother also has 36 bongos. I also have 36 ocarinas (it is a funny story how I have 36 of them: initially I had 65, then I also got another 13 making it a total of 78, then I got another 97 making it a total of 175, but then I lost 139 of them so eventually I am left with 36 of them now). My grandmother also has 66 nissan pathfinder cars. I also have 18 nissan leaf cars (here is why I have these many: initially I had 12 of them, then I lost 11 of them, but then I got another 95 of them, but then I lost 78 of them, so at the end I am left with 18 of them). My uncle also has 14 huawei pura 70 pro+ mobiles. I also have 67 ford edge cars (maybe I just need some of them). My grandfather has 52 trombones. I also have 82 toyota camry cars (it is a funny story how I have 82 of them: initially I had 23, then I also got another 48 making it a total of 71, then I got another 85 making it a total of 156, but then I lost 74 of them so eventually I am left with 82 of them now). My grandmother also has 35 toyota corolla cars. My grandmother also has 34 huawei nova 11 se mobiles. I also have 64 mazda cx-90 cars (thrilled to have these). My mother has 45 mazda cx-5 cars. I also have 95 infinix mobiles (received them yesterday). I also have 49 electric drums (one day, I will have more of them). I also have 24 organs (very happy to have them). My grandfather also has 86 iphone 4 mobiles. I also have 44 harps (it is a funny story how I have 44 of them: initially I had 77, then I also got another 83 making it a total of 160, then I got another 60 making it a total of 220, but then I lost 176 of them so eventually I am left with 44 of them now). My uncle also has 92 subaru ascent cars. My grandmother also has 75 honda hr-v cars. My sister has 32 tablas. My mother also has 95 trumpets. My grandfather also has 55 autoharps. I also have 62 honda civic cars (one day, I will have more of them). My grandmother also has 72 hammered dulcimers. My mother also has 87 buick enclave cars. My cousin also has 38 nokia mobiles. My friend has 78 accordions. My mother also has 55 mbiras. My father also has 93 mazda mx-30 cars. My aunt also has 20 google (pixel) mobiles. My aunt also has 48 iphone 13 mobiles. My grandmother also has 70 erhus. My cousin also has 88 iphone 7 mobiles. I also have 45 electric cellos (received them last week). My grandmother also has 88 jeep gladiator cars. I also have 39 xylophones (I really like them). I also have 15 tanpuras (I like these a lot). My uncle also has 47 samsung galaxy f05 mobiles. My friend also has 40 mazda2 cars. My grandmother also has 83 shehnais. I also have 91 toyota highlander cars (they are great). My grandfather also has 13 biwas. My uncle also has 30 electric pianos. My mother also has 20 recorders. My friend also has 48 honda prologuq cars. My grandmother also has 32 mazda cx-80 cars. My mother also has 27 toyota tacoma cars. I also have 8 synthesizer keyboards (one day, I will have more of them). My mother also has 44 dodge challenger cars. My cousin also has 29 huawei nova 13 mobiles. My father also has 76 sitars. My friend also has 30 tamburas. I also have 7 samsung galaxy a15 mobiles (here is why I have these many: initially I had 100 of them, then I lost 81 of them, but then I got another 47 of them, but then I lost 59 of them, so at the end I am left with 7 of them). My sister also has 7 oppo mobiles. I also have 75 sony mobiles (one day, I will have more of them). I also have 65 hyundai elantra cars (it is a funny story how I have 65 of them: initially I had 95, then I also got another 91 making it a total of 186, then I got another 53 making it a total of 239, but then I lost 174 of them so eventually I am left with 65 of them now). I also have 74 sruti boxes (it is a funny story how I have 74 of them: initially I had 14, then I also got another 15 making it a total of 29, then I got another 88 making it a total of 117, but then I lost 43 of them so eventually I am left with 74 of them now). I also have 19 honda cr-z cars (here is why I have these many: initially I had 38 of them, then I lost 23 of them, but then I got another 20 of them, but then I lost 16 of them, so at the end I am left with 19 of them). I also have 32 bansuris (feeling great about this). My uncle also has 89 lg mobiles. My grandmother also has 30 kazoos. My mother also has 13 htc mobiles. I also have 54 nissan armada cars (they were given to me as a gift). I also have 31 pennywhistles (it is a funny story how I have 31 of them: initially I had 69, then I also got another 61 making it a total of 130, then I got another 96 making it a total of 226, but then I lost 195 of them so eventually I am left with 31 of them now). My friend also has 56 bouzoukis. My friend also has 21 cellos. I also have 37 nissan kicks cars (I do not think I need this much). My uncle also has 3 huawei nova 12s mobiles. My mother also has 28 samsung galaxy s24 mobiles. My friend also has 69 iphone x mobiles. My brother also has 16 shamisens. I also have 69 meizu mobiles (maybe I just need some of them). My aunt also has 17 xiaomi mobiles. My cousin also has 6 dulcimers. I also have 94 iphone 11 mobiles (it is a funny story how I have 94 of them: initially I had 69, then I also got another 11 making it a total of 80, then I got another 25 making it a total of 105, but then I lost 11 of them so eventually I am left with 94 of them now). My cousin also has 85 toyota sienna cars. I also have 12 koras (here is why I have these many: initially I had 41 of them, then I lost 20 of them, but then I got another 80 of them, but then I lost 89 of them, so at the end I am left with 12 of them). My cousin also has 6 congas. My sister also has 9 harpsichords. My aunt also has 89 kalimbas. My brother also has 17 drums. What is the sum of the total number of cars and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:094", "request": "My friend has 57 zithers. My brother has 29 ford edge cars. My friend also has 49 mridangams. My sister has 53 pennywhistles. My brother also has 50 honda element cars. My friend also has 7 trombones. My sister also has 24 shehnais. My mother has 83 nissan altima cars. I have 15 tanpuras (it is a funny story how I have 15 of them: initially I had 72, then I also got another 47 making it a total of 119, then I got another 47 making it a total of 166, but then I lost 151 of them so eventually I am left with 15 of them now). I also have 38 pianos (planning to have more in the future). I also have 90 panpipes (received them last week). My uncle has 79 flamingoes. I also have 39 parrots (received them last week). My uncle also has 64 timpanis. My grandmother has 12 subaru ascent cars. My brother also has 77 bansuris. I also have 18 ducks (here is why I have these many: initially I had 26 of them, then I lost 20 of them, but then I got another 64 of them, but then I lost 52 of them, so at the end I am left with 18 of them). My aunt has 24 salmon. My mother also has 46 goldfish. My uncle also has 58 albatross. My mother also has 62 toyota 4runnertoyota sequoia cars. My grandmother also has 58 mazda cx-70 cars. I also have 70 electric drums (here is why I have these many: initially I had 39 of them, then I lost 29 of them, but then I got another 91 of them, but then I lost 31 of them, so at the end I am left with 70 of them). My grandmother also has 51 flutes. My uncle also has 76 swans. My uncle also has 86 honda odyssey cars. My uncle also has 53 emus. I also have 83 goats (feeling good about this). My cousin has 25 corgis. My sister also has 41 mbiras. I also have 11 tablas (very happy to have them). My sister also has 49 subaru impreza cars. My brother also has 95 mazda3 cars. I also have 33 chameleons (feeling good about this). My mother also has 65 volkswagen golf cars. I also have 46 sruti boxes (it is a funny story how I have 46 of them: initially I had 64, then I also got another 76 making it a total of 140, then I got another 76 making it a total of 216, but then I lost 170 of them so eventually I am left with 46 of them now). I also have 34 lemurs (received them yesterday). I also have 10 hammered dulcimers (here is why I have these many: initially I had 79 of them, then I lost 32 of them, but then I got another 50 of them, but then I lost 87 of them, so at the end I am left with 10 of them). My cousin also has 63 toyota sienna cars. My brother also has 19 anteaters. My grandfather has 4 mazda mx-30 cars. My mother also has 59 nissan pathfinder cars. I also have 56 cats (they are great). My grandmother also has 14 tortoises. My mother also has 19 elks. My father has 14 horses. My grandfather also has 9 toyota tundra cars. I also have 14 mazda cx-5 cars (here is why I have these many: initially I had 60 of them, then I lost 14 of them, but then I got another 89 of them, but then I lost 121 of them, so at the end I am left with 14 of them). My father also has 51 maracas. My sister also has 89 magpies. I also have 62 nissan frintier cars (here is why I have these many: initially I had 55 of them, then I lost 44 of them, but then I got another 61 of them, but then I lost 10 of them, so at the end I am left with 62 of them). My mother also has 89 bees. My uncle also has 68 jeep gladiator cars. My friend also has 28 lutes. My brother also has 40 baboons. My father also has 19 hyundai santa fe cars. I also have 50 rhinoceros (it is a funny story how I have 50 of them: initially I had 48, then I also got another 97 making it a total of 145, then I got another 20 making it a total of 165, but then I lost 115 of them so eventually I am left with 50 of them now). I also have 25 electric cellos (it is a funny story how I have 25 of them: initially I had 77, then I also got another 86 making it a total of 163, then I got another 87 making it a total of 250, but then I lost 225 of them so eventually I am left with 25 of them now). I also have 57 stingrays (planning to have more in the future). I also have 65 sitars (one day, I will have more of them). My cousin also has 95 recorders. My uncle also has 1 subaru outback cars. My father also has 91 honda passport cars. I also have 46 marimbas (one day, I will have more of them). I also have 54 chimpanzees (here is why I have these many: initially I had 70 of them, then I lost 46 of them, but then I got another 42 of them, but then I lost 12 of them, so at the end I am left with 54 of them). My father also has 44 boars. I also have 13 erhus (I really like them). I also have 75 mazda cx-50 cars (very happy to have them). I also have 41 nissan maxima cars (received them last month). My grandmother also has 11 nissan titan cars. My uncle also has 82 kia niro cars. I also have 61 turtles (here is why I have these many: initially I had 56 of them, then I lost 47 of them, but then I got another 87 of them, but then I lost 35 of them, so at the end I am left with 61 of them). My brother also has 72 opossums. I also have 77 bouzoukis (I really like them). My mother also has 33 seahorses. I also have 3 fish (here is why I have these many: initially I had 20 of them, then I lost 18 of them, but then I got another 49 of them, but then I lost 48 of them, so at the end I am left with 3 of them). I also have 33 oboes (it is a funny story how I have 33 of them: initially I had 91, then I also got another 90 making it a total of 181, then I got another 77 making it a total of 258, but then I lost 225 of them so eventually I am left with 33 of them now). My sister also has 43 bass guitars. I also have 50 octopus (hope to have more in the future). My uncle also has 12 clavichords. I also have 81 mules (maybe I just need some of them). I also have 48 nissan ariya cars (received them last month). I also have 59 roosters (it is a funny story how I have 59 of them: initially I had 18, then I also got another 49 making it a total of 67, then I got another 24 making it a total of 91, but then I lost 32 of them so eventually I am left with 59 of them now). My brother also has 35 kangaroos. My aunt also has 80 cheetahs. My aunt also has 23 honda pilot cars. I also have 37 ukuleles (hope to have more in the future). My grandfather also has 1 ape. My mother also has 92 wolves. My grandmother also has 35 toyota camry cars. My mother also has 69 cod. I also have 18 toyota rav4 cars (very happy to have them). I also have 49 nissan sentra cars (it is a funny story how I have 49 of them: initially I had 52, then I also got another 68 making it a total of 120, then I got another 73 making it a total of 193, but then I lost 144 of them so eventually I am left with 49 of them now). My grandmother also has 58 mazda2 cars. I also have 82 honda cr-v cars (I really like them). What is the absolute difference of the total number of animals/insects and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:096", "request": "My uncle has 15 pinot noir grapes. My cousin has 54 iphone 8 mobiles. My uncle also has 20 opossums. My mother has 12 huawei nova 12s mobiles. My friend has 71 flamingoes. I have 12 pandas (it is a funny story how I have 12 of them: initially I had 85, then I also got another 97 making it a total of 182, then I got another 45 making it a total of 227, but then I lost 215 of them so eventually I am left with 12 of them now). My uncle also has 40 riesling grapes. My friend also has 1 honor mobiles. My cousin also has 48 kiwis. My cousin also has 3 lg mobiles. I also have 52 samsung galaxy a15 mobiles (they are great). My uncle also has 22 honeydews. I also have 12 iphone 15 mobiles (I really like them). I also have 5 dates (it is a funny story how I have 5 of them: initially I had 93, then I also got another 77 making it a total of 170, then I got another 24 making it a total of 194, but then I lost 189 of them so eventually I am left with 5 of them now). My mother also has 57 alpacas. I also have 8 huawei pura 70 mobiles (here is why I have these many: initially I had 98 of them, then I lost 43 of them, but then I got another 24 of them, but then I lost 71 of them, so at the end I am left with 8 of them). My cousin also has 12 oppo mobiles. My uncle also has 86 peacocks. I also have 45 rats (here is why I have these many: initially I had 36 of them, then I lost 25 of them, but then I got another 74 of them, but then I lost 40 of them, so at the end I am left with 45 of them). I also have 75 albatross (I do not think I need this much). My friend also has 20 salamanders. My aunt has 32 macaws. My brother has 7 ginger gold apples. My father has 50 nokia mobiles. My grandfather has 42 spartan apples. My grandmother has 47 sony mobiles. I also have 63 chardonnay grapes (it is a funny story how I have 63 of them: initially I had 46, then I also got another 31 making it a total of 77, then I got another 100 making it a total of 177, but then I lost 114 of them so eventually I am left with 63 of them now). I also have 60 samsung galaxy c55 mobiles (I really like them). I also have 28 syrah grapes (here is why I have these many: initially I had 62 of them, then I lost 15 of them, but then I got another 21 of them, but then I lost 40 of them, so at the end I am left with 28 of them). My brother also has 68 prairie dogs. My grandfather also has 80 samsung galaxy m55s mobiles. My grandfather also has 6 starfruits. My brother also has 92 tigers. My friend also has 33 shrimps. My uncle also has 34 pink lady apples. I also have 49 breadfruits (thrilled to have these). I also have 83 lemons (here is why I have these many: initially I had 56 of them, then I lost 54 of them, but then I got another 87 of them, but then I lost 6 of them, so at the end I am left with 83 of them). My cousin also has 32 crows. My sister has 58 bisons. My aunt also has 60 iphone 5 mobiles. I also have 86 iphone x mobiles (thrilled to have these). My mother also has 27 gala apples. I also have 34 blackberry mobiles (received them yesterday). My cousin also has 89 salmon. I also have 44 cherrys (it is a funny story how I have 44 of them: initially I had 84, then I also got another 36 making it a total of 120, then I got another 35 making it a total of 155, but then I lost 111 of them so eventually I am left with 44 of them now). My mother also has 59 infinix mobiles. I also have 82 canarys (hope to have more in the future). My aunt also has 49 iphone 6 mobiles. I also have 19 huawei mate x6 mobiles (here is why I have these many: initially I had 39 of them, then I lost 13 of them, but then I got another 48 of them, but then I lost 55 of them, so at the end I am left with 19 of them). My uncle also has 92 merlot grapes. I also have 14 plantains (received them last week). My mother also has 92 zte mobiles. I also have 48 samsung galaxy a16 mobiles (feeling great about this). I also have 54 quinces (here is why I have these many: initially I had 84 of them, then I lost 18 of them, but then I got another 27 of them, but then I lost 39 of them, so at the end I am left with 54 of them). I also have 79 sheep (I am in love with them). My uncle also has 95 htc mobiles. My grandfather also has 23 cattles. My aunt also has 47 huawei pura 70 ultra mobiles. I also have 33 cranberrys (maybe I just need some of them). I also have 59 doves (planning to have more in the future). I also have 71 dragonfruits (here is why I have these many: initially I had 80 of them, then I lost 25 of them, but then I got another 90 of them, but then I lost 74 of them, so at the end I am left with 71 of them). I also have 92 soursops (received them last week). My mother also has 41 envy apples. My brother also has 34 huawei nova 13 mobiles. I also have 2 coconuts (here is why I have these many: initially I had 13 of them, then I lost 12 of them, but then I got another 20 of them, but then I lost 19 of them, so at the end I am left with 2 of them). My aunt also has 47 grapefruits. I also have 1 giraffe (I do not think I need this much). I also have 40 huawei nova 12 pro mobiles (happt to have them). I also have 30 clementinefigs (I like these a lot). My friend also has 52 huawei pura 70 pro+ mobiles. My grandfather also has 8 marmots. My grandmother also has 13 grenache grapes. My cousin also has 95 toads. I also have 23 cantaloupes (they are great). My mother also has 82 google (pixel) mobiles. My father also has 88 python snakes. My friend also has 82 samsung galaxy f05 mobiles. My brother also has 53 squirrels. I also have 7 vultures (maybe I just need some of them). My grandfather also has 81 trout. My friend also has 51 gorillas. My sister also has 52 lemurs. I also have 95 watermelons (I really like them). I also have 85 iphone 4 mobiles (feeling good about this). My uncle also has 25 iguanas. My uncle also has 91 crabs. I also have 63 hedgehogs (received them last month). My brother also has 27 guinea pigs. What is the sum of the total number of fruits and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:101", "request": "I have 34 nissan kicks cars (happt to have them). My brother has 32 emus. I also have 77 infinix mobiles (received them yesterday). My friend has 19 elephants. I also have 64 lg mobiles (here is why I have these many: initially I had 71 of them, then I lost 31 of them, but then I got another 53 of them, but then I lost 29 of them, so at the end I am left with 64 of them). I also have 53 dodge challenger cars (it is a funny story how I have 53 of them: initially I had 65, then I also got another 84 making it a total of 149, then I got another 27 making it a total of 176, but then I lost 123 of them so eventually I am left with 53 of them now). My brother also has 54 huawei pura 70 ultra mobiles. I also have 84 vivo mobiles (I do not think I need this much). My uncle has 39 huawei mate 70 mobiles. I also have 99 anteaters (one day, I will have more of them). My sister has 84 subaru impreza cars. I also have 59 cobras (here is why I have these many: initially I had 94 of them, then I lost 44 of them, but then I got another 88 of them, but then I lost 79 of them, so at the end I am left with 59 of them). I also have 29 nissan rogue cars (it is a funny story how I have 29 of them: initially I had 77, then I also got another 83 making it a total of 160, then I got another 16 making it a total of 176, but then I lost 147 of them so eventually I am left with 29 of them now). My father has 31 iphone 16 mobiles. My father also has 67 honda prologuq cars. I also have 69 moose (here is why I have these many: initially I had 47 of them, then I lost 20 of them, but then I got another 98 of them, but then I lost 56 of them, so at the end I am left with 69 of them). My friend also has 86 kangaroos. I also have 27 samsung galaxy a15 mobiles (it is a funny story how I have 27 of them: initially I had 11, then I also got another 96 making it a total of 107, then I got another 67 making it a total of 174, but then I lost 147 of them so eventually I am left with 27 of them now). My cousin has 46 toyota tacoma cars. I also have 2 reindeer (here is why I have these many: initially I had 68 of them, then I lost 28 of them, but then I got another 83 of them, but then I lost 121 of them, so at the end I am left with 2 of them). I also have 76 cheetahs (feeling great about this). My cousin also has 60 sony mobiles. My grandmother has 85 huawei pura 70 pro mobiles. I also have 63 honda pilot cars (here is why I have these many: initially I had 54 of them, then I lost 34 of them, but then I got another 96 of them, but then I lost 53 of them, so at the end I am left with 63 of them). I also have 48 samsung galaxy m55s mobiles (it is a funny story how I have 48 of them: initially I had 27, then I also got another 82 making it a total of 109, then I got another 38 making it a total of 147, but then I lost 99 of them so eventually I am left with 48 of them now). I also have 84 tigers (it is a funny story how I have 84 of them: initially I had 12, then I also got another 55 making it a total of 67, then I got another 73 making it a total of 140, but then I lost 56 of them so eventually I am left with 84 of them now). My father also has 76 stingrays. My brother also has 92 nissan frintier cars. I also have 77 samsung galaxy a55 mobiles (happt to have them). I also have 62 nissan leaf cars (they were given to me as a gift). I also have 17 donkeys (feeling good about this). My friend also has 88 toyota corolla cars. I also have 76 beavers (thrilled to have these). My grandmother also has 80 peacocks. I also have 65 huawei pura 70 pro+ mobiles (received them last week). My grandmother also has 28 nissan titan cars. My aunt has 23 trout. My sister also has 76 hyundai elantra cars. I also have 77 samsung galaxy c55 mobiles (feeling great about this). I also have 53 nokia mobiles (they are great). My friend also has 22 hyenas. My brother also has 97 seals. My uncle also has 17 hawks. I also have 41 zte mobiles (I really like them). I also have 15 samsung galaxy s24 mobiles (received them last week). My father also has 17 honda element cars. My mother has 28 samsung galaxy z fold6 mobiles. My brother also has 38 toyota c-hr cars. I also have 64 iphone x mobiles (feeling good about this). I also have 63 xiaomi mobiles (it is a funny story how I have 63 of them: initially I had 68, then I also got another 67 making it a total of 135, then I got another 70 making it a total of 205, but then I lost 142 of them so eventually I am left with 63 of them now). My cousin also has 90 volkswagen golf cars. I also have 84 buffaloes (feeling great about this). My father also has 80 htc mobiles. My grandmother also has 31 tortoises. I also have 51 ferrets (one day, I will have more of them). I also have 82 shrimps (it is a funny story how I have 82 of them: initially I had 26, then I also got another 66 making it a total of 92, then I got another 75 making it a total of 167, but then I lost 85 of them so eventually I am left with 82 of them now). I also have 4 garter snakes (it is a funny story how I have 4 of them: initially I had 48, then I also got another 64 making it a total of 112, then I got another 73 making it a total of 185, but then I lost 181 of them so eventually I am left with 4 of them now). My cousin also has 7 cows. My cousin also has 84 oneplus mobiles. My father also has 76 octopus. My brother also has 57 honda accord cars. My mother also has 61 huawei nova 12i mobiles. My cousin also has 62 samsung galaxy z fold5 mobiles. My cousin also has 66 kia niro cars. My sister also has 6 nissan murano cars. My brother also has 5 iphone 5 mobiles. My grandfather has 17 iphone 6 mobiles. My uncle also has 37 iphone 14 mobiles. I also have 88 quails (received them last week). My cousin also has 80 horses. I also have 71 honda cr-z cars (they are great). My aunt also has 51 iphone 15 mobiles. I also have 12 hyundai santa fe cars (it is a funny story how I have 12 of them: initially I had 94, then I also got another 68 making it a total of 162, then I got another 55 making it a total of 217, but then I lost 205 of them so eventually I am left with 12 of them now). I also have 24 tecno mobiles (it is a funny story how I have 24 of them: initially I had 82, then I also got another 67 making it a total of 149, then I got another 21 making it a total of 170, but then I lost 146 of them so eventually I am left with 24 of them now). I also have 52 huawei mate x6 mobiles (hope to have more in the future). My friend also has 37 iphone 12 mobiles. I also have 79 buick enclave cars (here is why I have these many: initially I had 82 of them, then I lost 43 of them, but then I got another 83 of them, but then I lost 43 of them, so at the end I am left with 79 of them). My friend also has 90 chameleons. I also have 10 mazda cx-5 cars (here is why I have these many: initially I had 74 of them, then I lost 10 of them, but then I got another 18 of them, but then I lost 72 of them, so at the end I am left with 10 of them). My grandmother also has 6 crocodiles. My mother also has 10 viper snakes. My aunt also has 27 seahorses. I also have 87 toyota 4runnertoyota sequoia cars (one day, I will have more of them). My sister also has 36 camels. My sister also has 89 ravens. My father also has 58 nissan sentra cars. My brother also has 75 iguanas. I also have 11 oppo mobiles (feeling good about this). I also have 66 king cobra snakes (I do not think I need this much). I also have 8 butterflys (very happy to have them). My friend also has 14 realme mobiles. I also have 42 google (pixel) mobiles (hope to have more in the future). I also have 39 cattles (received them last month). I also have 15 wolves (received them last month). My friend also has 19 nissan pathfinder cars. My aunt also has 69 bees. My grandfather also has 21 toyota avalon cars. My uncle also has 56 honda hr-v cars. I also have 77 toyota tundra cars (here is why I have these many: initially I had 44 of them, then I lost 39 of them, but then I got another 98 of them, but then I lost 26 of them, so at the end I am left with 77 of them). I also have 81 iphone 8 mobiles (it is a funny story how I have 81 of them: initially I had 50, then I also got another 11 making it a total of 61, then I got another 77 making it a total of 138, but then I lost 57 of them so eventually I am left with 81 of them now). My cousin also has 66 guinea pigs. My sister also has 34 crabs. My grandfather also has 72 mazda cx-50 cars. My grandfather also has 47 frogs. I also have 54 honor mobiles (here is why I have these many: initially I had 47 of them, then I lost 42 of them, but then I got another 79 of them, but then I lost 30 of them, so at the end I am left with 54 of them). I also have 82 alligators (feeling great about this). I also have 15 toyota sienna cars (here is why I have these many: initially I had 57 of them, then I lost 56 of them, but then I got another 90 of them, but then I lost 76 of them, so at the end I am left with 15 of them). I also have 91 honda cr-v cars (one day, I will have more of them). My father also has 30 eagles. My aunt also has 36 huawei pura 70 mobiles. I also have 60 mazda mx-30 cars (thrilled to have these). My brother also has 24 geese. I also have 29 aardvarks (here is why I have these many: initially I had 73 of them, then I lost 62 of them, but then I got another 89 of them, but then I lost 71 of them, so at the end I am left with 29 of them). My sister also has 45 hedgehogs. My brother also has 1 mazda3 cars. My aunt also has 39 sloths. I also have 88 honda passport cars (received them last week). My aunt also has 64 hens. My cousin also has 23 otters. My grandfather also has 99 audi a6 cars. I also have 82 iphone 4 mobiles (here is why I have these many: initially I had 72 of them, then I lost 55 of them, but then I got another 82 of them, but then I lost 17 of them, so at the end I am left with 82 of them). I also have 49 deer (feeling great about this). My friend also has 27 pigs. My mother also has 96 toyota camry cars. My friend also has 7 canarys. My uncle also has 4 rabbits. My grandfather also has 81 nissan maxima cars. My mother also has 88 bears. I also have 14 baboons (here is why I have these many: initially I had 46 of them, then I lost 36 of them, but then I got another 91 of them, but then I lost 87 of them, so at the end I am left with 14 of them). My cousin also has 91 motorola mobiles. My friend also has 85 huawei nova 11 se mobiles. My sister also has 98 honda odyssey cars. My cousin also has 1 chimpanzee. I also have 91 antelopes (here is why I have these many: initially I had 98 of them, then I lost 18 of them, but then I got another 33 of them, but then I lost 22 of them, so at the end I am left with 91 of them). My grandmother also has 47 blackberry mobiles. What is the absolute difference of the total number of cars and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:105", "request": "My aunt has 55 viper snakes. My aunt also has 72 nissan titan cars. I have 30 blackberry mobiles (received them last month). My sister has 87 roosters. My cousin has 7 hyundai elantra cars. My brother has 15 nissan leaf cars. My brother also has 73 oneplus mobiles. I also have 22 samsung galaxy tab s10 mobiles (here is why I have these many: initially I had 46 of them, then I lost 24 of them, but then I got another 40 of them, but then I lost 40 of them, so at the end I am left with 22 of them). My father has 26 oppo mobiles. I also have 90 honda pilot cars (here is why I have these many: initially I had 53 of them, then I lost 17 of them, but then I got another 62 of them, but then I lost 8 of them, so at the end I am left with 90 of them). My grandmother has 56 samsung galaxy z fold6 mobiles. My brother also has 11 cockroaches. I also have 69 kangaroos (here is why I have these many: initially I had 58 of them, then I lost 43 of them, but then I got another 59 of them, but then I lost 5 of them, so at the end I am left with 69 of them). My father also has 75 cattles. I also have 16 samsung galaxy f05 mobiles (happt to have them). My friend has 15 buick enclave cars. I also have 18 mazda cx-50 cars (received them last month). I also have 73 toyota 4runnertoyota sequoia cars (received them last month). I also have 74 huawei mate x6 mobiles (happt to have them). My mother has 59 yaks. My cousin also has 65 mazda2 cars. My grandfather has 2 storks. My uncle has 58 reindeer. I also have 9 ravens (I like these a lot). My cousin also has 40 mazda cx-90 cars. I also have 26 huawei nova 12i mobiles (thrilled to have these). My cousin also has 29 hyundai santa fe cars. My cousin also has 28 dodge challenger cars. My friend also has 50 google (pixel) mobiles. I also have 83 nissan sentra cars (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 95 of them, but then I lost 13 of them, so at the end I am left with 83 of them). I also have 67 nissan frintier cars (it is a funny story how I have 67 of them: initially I had 19, then I also got another 81 making it a total of 100, then I got another 30 making it a total of 130, but then I lost 63 of them so eventually I am left with 67 of them now). My father also has 55 subaru ascent cars. My aunt also has 49 iphone 16 mobiles. My uncle also has 7 samsung galaxy a15 mobiles. I also have 66 infinix mobiles (it is a funny story how I have 66 of them: initially I had 72, then I also got another 96 making it a total of 168, then I got another 50 making it a total of 218, but then I lost 152 of them so eventually I am left with 66 of them now). I also have 64 rabbits (one day, I will have more of them). My friend also has 10 iphone 14 mobiles. My aunt also has 7 raccoons. My father also has 83 salmon. My aunt also has 65 crows. I also have 53 huawei pura 70 mobiles (here is why I have these many: initially I had 71 of them, then I lost 26 of them, but then I got another 84 of them, but then I lost 76 of them, so at the end I am left with 53 of them). My aunt also has 25 subaru outback cars. My grandfather also has 37 hippopotamus. My uncle also has 26 squirrels. My aunt also has 40 mazda6 cars. I also have 61 nissan altima cars (here is why I have these many: initially I had 51 of them, then I lost 27 of them, but then I got another 90 of them, but then I lost 53 of them, so at the end I am left with 61 of them). My mother also has 31 beavers. I also have 41 samsung galaxy a16 mobiles (here is why I have these many: initially I had 29 of them, then I lost 23 of them, but then I got another 63 of them, but then I lost 28 of them, so at the end I am left with 41 of them). My uncle also has 82 sheep. I also have 2 donkeys (here is why I have these many: initially I had 25 of them, then I lost 21 of them, but then I got another 71 of them, but then I lost 73 of them, so at the end I am left with 2 of them). My uncle also has 48 toyota sienna cars. My mother also has 47 shrews. My father also has 75 lizards. I also have 5 ducks (feeling good about this). My sister also has 52 samsung galaxy m55s mobiles. I also have 31 realme mobiles (here is why I have these many: initially I had 81 of them, then I lost 75 of them, but then I got another 85 of them, but then I lost 60 of them, so at the end I am left with 31 of them). My aunt also has 40 samsung galaxy z fold5 mobiles. My friend also has 47 samsung galaxy a55 mobiles. My mother also has 7 opossums. I also have 35 samsung galaxy s24 mobiles (it is a funny story how I have 35 of them: initially I had 15, then I also got another 38 making it a total of 53, then I got another 59 making it a total of 112, but then I lost 77 of them so eventually I am left with 35 of them now). I also have 65 vivo mobiles (they were given to me as a gift). My cousin also has 6 doves. My grandmother also has 86 huawei pura 70 pro+ mobiles. I also have 98 marmots (maybe I just need some of them). I also have 97 zte mobiles (feeling great about this). I also have 3 meizu mobiles (I really like them). My aunt also has 74 honda insight cars. My cousin also has 54 horses. I also have 33 audi a6 cars (received them yesterday). My father also has 78 parrots. My mother also has 81 tesla model s cars. My sister also has 45 iphone x mobiles. My grandmother also has 41 hedgehogs. I also have 51 huawei nova 11 se mobiles (it is a funny story how I have 51 of them: initially I had 97, then I also got another 40 making it a total of 137, then I got another 54 making it a total of 191, but then I lost 140 of them so eventually I am left with 51 of them now). My cousin also has 75 cobras. My uncle also has 92 prairie dogs. My grandmother also has 19 sloths. My mother also has 73 mazda cx-5 cars. My mother also has 50 elks. My grandmother also has 54 samsung galaxy a35 mobiles. My brother also has 97 toyota camry cars. I also have 97 lg mobiles (here is why I have these many: initially I had 20 of them, then I lost 17 of them, but then I got another 96 of them, but then I lost 2 of them, so at the end I am left with 97 of them). My friend also has 28 giraffes. My brother also has 85 mazda mx-30 cars. My mother also has 1 frog. My friend also has 32 wasps. I also have 91 macaws (received them last month). My uncle also has 64 iphone 7 mobiles. I also have 30 toyota highlander cars (it is a funny story how I have 30 of them: initially I had 51, then I also got another 43 making it a total of 94, then I got another 72 making it a total of 166, but then I lost 136 of them so eventually I am left with 30 of them now). My grandfather also has 15 nissan kicks cars. I also have 72 narwhals (feeling great about this). I also have 79 hummingbirds (it is a funny story how I have 79 of them: initially I had 16, then I also got another 36 making it a total of 52, then I got another 55 making it a total of 107, but then I lost 28 of them so eventually I am left with 79 of them now). I also have 32 nokia mobiles (planning to have more in the future). I also have 74 nissan maxima cars (here is why I have these many: initially I had 25 of them, then I lost 22 of them, but then I got another 77 of them, but then I lost 6 of them, so at the end I am left with 74 of them). I also have 25 jeep gladiator cars (it is a funny story how I have 25 of them: initially I had 62, then I also got another 42 making it a total of 104, then I got another 95 making it a total of 199, but then I lost 174 of them so eventually I am left with 25 of them now). I also have 55 toyota rav4 cars (received them yesterday). My grandfather also has 41 quails. My father also has 58 possums. My grandmother also has 93 ponys. My friend also has 61 flys. I also have 89 nissan ariya cars (I am in love with them). What is the sum of the total number of animals/insects and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:106", "request": "My sister has 88 iphone 13 mobiles. My father has 85 lions. I have 5 king cobra snakes (it is a funny story how I have 5 of them: initially I had 57, then I also got another 59 making it a total of 116, then I got another 46 making it a total of 162, but then I lost 157 of them so eventually I am left with 5 of them now). I also have 40 groundhogs (they are great). My friend has 42 chameleons. I also have 57 cranberrys (here is why I have these many: initially I had 25 of them, then I lost 19 of them, but then I got another 53 of them, but then I lost 2 of them, so at the end I am left with 57 of them). I also have 29 flys (here is why I have these many: initially I had 93 of them, then I lost 32 of them, but then I got another 42 of them, but then I lost 74 of them, so at the end I am left with 29 of them). I also have 77 raspberrys (hope to have more in the future). I also have 97 gala apples (it is a funny story how I have 97 of them: initially I had 57, then I also got another 57 making it a total of 114, then I got another 94 making it a total of 208, but then I lost 111 of them so eventually I am left with 97 of them now). I also have 58 pomegranates (here is why I have these many: initially I had 91 of them, then I lost 13 of them, but then I got another 79 of them, but then I lost 99 of them, so at the end I am left with 58 of them). I also have 43 sony mobiles (here is why I have these many: initially I had 52 of them, then I lost 46 of them, but then I got another 76 of them, but then I lost 39 of them, so at the end I am left with 43 of them). My grandfather has 62 samsung galaxy s24 mobiles. My aunt has 48 armadillos. My mother has 53 tigers. I also have 76 squirrels (I like these a lot). My father also has 32 mosquitoes. My mother also has 45 xiaomi mobiles. My friend also has 37 meizu mobiles. I also have 64 cockroaches (hope to have more in the future). I also have 80 rattlesnakes (it is a funny story how I have 80 of them: initially I had 31, then I also got another 94 making it a total of 125, then I got another 12 making it a total of 137, but then I lost 57 of them so eventually I am left with 80 of them now). I also have 63 cherrys (it is a funny story how I have 63 of them: initially I had 31, then I also got another 10 making it a total of 41, then I got another 93 making it a total of 134, but then I lost 71 of them so eventually I am left with 63 of them now). My grandfather also has 59 penguins. My cousin has 27 plums. I also have 80 zte mobiles (hope to have more in the future). I also have 88 gorillas (it is a funny story how I have 88 of them: initially I had 63, then I also got another 74 making it a total of 137, then I got another 61 making it a total of 198, but then I lost 110 of them so eventually I am left with 88 of them now). My brother has 93 whales. I also have 43 huawei nova 11 se mobiles (it is a funny story how I have 43 of them: initially I had 75, then I also got another 35 making it a total of 110, then I got another 72 making it a total of 182, but then I lost 139 of them so eventually I am left with 43 of them now). I also have 21 huawei pura 70 pro+ mobiles (I like these a lot). I also have 30 eagles (it is a funny story how I have 30 of them: initially I had 93, then I also got another 60 making it a total of 153, then I got another 100 making it a total of 253, but then I lost 223 of them so eventually I am left with 30 of them now). I also have 85 honeycrisp apples (it is a funny story how I have 85 of them: initially I had 24, then I also got another 86 making it a total of 110, then I got another 47 making it a total of 157, but then I lost 72 of them so eventually I am left with 85 of them now). My mother also has 25 deer. I also have 16 frogs (it is a funny story how I have 16 of them: initially I had 95, then I also got another 83 making it a total of 178, then I got another 75 making it a total of 253, but then I lost 237 of them so eventually I am left with 16 of them now). I also have 90 huawei nova 12 pro mobiles (I really like them). My grandmother has 71 iphone 8 mobiles. I also have 61 pears (here is why I have these many: initially I had 43 of them, then I lost 13 of them, but then I got another 37 of them, but then I lost 6 of them, so at the end I am left with 61 of them). I also have 40 syrah grapes (I do not think I need this much). I also have 16 huawei mate 70 mobiles (received them yesterday). I also have 76 pandas (I am in love with them). My friend also has 6 huawei pura 70 pro mobiles. I also have 84 newts (feeling great about this). My grandfather also has 75 tecno mobiles. I also have 97 prairie dogs (I like these a lot). My mother also has 56 cantaloupes. My uncle has 90 samsung galaxy a35 mobiles. My sister also has 35 lizards. My father also has 15 beavers. My uncle also has 86 koalas. I also have 72 iphone 15 mobiles (here is why I have these many: initially I had 63 of them, then I lost 40 of them, but then I got another 55 of them, but then I lost 6 of them, so at the end I am left with 72 of them). My cousin also has 33 dolphins. I also have 34 pigeons (thrilled to have these). I also have 87 iphone 14 mobiles (it is a funny story how I have 87 of them: initially I had 52, then I also got another 23 making it a total of 75, then I got another 98 making it a total of 173, but then I lost 86 of them so eventually I am left with 87 of them now). My aunt also has 7 iphone 7 mobiles. I also have 53 samsung galaxy a55 mobiles (feeling good about this). My mother also has 92 oneplus mobiles. My father also has 82 black rat snakes. My sister also has 85 lychees. My sister also has 29 samsung galaxy c55 mobiles. My brother also has 58 vivo mobiles. I also have 68 ants (they were given to me as a gift). My mother also has 80 chinchillas. My brother also has 51 motorola mobiles. My friend also has 40 falcons. My friend also has 23 giraffes. My brother also has 69 zebras. I also have 66 mulberrys (here is why I have these many: initially I had 58 of them, then I lost 50 of them, but then I got another 89 of them, but then I lost 31 of them, so at the end I am left with 66 of them). My father also has 12 jellyfish. I also have 2 oppo mobiles (I like these a lot). I also have 23 buffaloes (very happy to have them). My mother also has 94 ducks. I also have 34 orangutans (it is a funny story how I have 34 of them: initially I had 52, then I also got another 58 making it a total of 110, then I got another 51 making it a total of 161, but then I lost 127 of them so eventually I am left with 34 of them now). My cousin also has 82 canarys. My aunt also has 63 samsung galaxy z fold6 mobiles. I also have 84 turtles (it is a funny story how I have 84 of them: initially I had 51, then I also got another 53 making it a total of 104, then I got another 58 making it a total of 162, but then I lost 78 of them so eventually I am left with 84 of them now). I also have 99 iphone 4 mobiles (received them last month). My aunt also has 52 elderberryoranges. I also have 45 ferrets (they were given to me as a gift). My brother also has 37 alligators. My uncle also has 53 nebbiolo grapes. My father also has 73 kiwis. My aunt also has 40 dragonfruits. My uncle also has 79 cheetahs. My brother also has 54 quinces. My mother also has 69 corgis. My grandfather also has 81 blackberry mobiles. I also have 48 muscat grapes (it is a funny story how I have 48 of them: initially I had 84, then I also got another 11 making it a total of 95, then I got another 59 making it a total of 154, but then I lost 106 of them so eventually I am left with 48 of them now). My brother also has 94 fuji apples. I also have 44 samsung galaxy a16 mobiles (feeling great about this). My brother also has 6 nokia mobiles. I also have 84 grapefruits (here is why I have these many: initially I had 72 of them, then I lost 54 of them, but then I got another 98 of them, but then I lost 32 of them, so at the end I am left with 84 of them). My cousin also has 16 rhinoceros. My friend also has 28 hamsters. My father also has 16 pinot noir grapes. My cousin also has 29 hyenas. My sister also has 17 echidnas. My cousin also has 48 ponys. My father also has 42 lemurs. My grandmother also has 3 samsung galaxy f05 mobiles. My sister also has 32 iphone 11 mobiles. I also have 96 nectarines (it is a funny story how I have 96 of them: initially I had 33, then I also got another 43 making it a total of 76, then I got another 47 making it a total of 123, but then I lost 27 of them so eventually I am left with 96 of them now). My sister also has 38 iphone x mobiles. My sister also has 42 iphone 12 mobiles. I also have 38 samsung galaxy a15 mobiles (they were given to me as a gift). What is the absolute difference of the total number of fruits and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:110", "request": "My grandmother has 12 samsung galaxy a16 mobiles. I have 84 samsung galaxy tab s10 mobiles (very happy to have them). My grandfather has 97 nissan sentra cars. I also have 26 nissan maxima cars (it is a funny story how I have 26 of them: initially I had 65, then I also got another 22 making it a total of 87, then I got another 19 making it a total of 106, but then I lost 80 of them so eventually I am left with 26 of them now). My friend has 78 mazda cx-80 cars. My grandfather also has 30 nissan kicks cars. My aunt has 91 honda accord cars. My mother has 5 n'gonis. I also have 29 nissan frintier cars (it is a funny story how I have 29 of them: initially I had 56, then I also got another 86 making it a total of 142, then I got another 43 making it a total of 185, but then I lost 156 of them so eventually I am left with 29 of them now). My cousin has 78 iphone 11 mobiles. My brother has 45 motorola mobiles. My grandmother also has 5 iphone 5 mobiles. I also have 81 samsung galaxy z fold5 mobiles (I am in love with them). I also have 67 harps (it is a funny story how I have 67 of them: initially I had 52, then I also got another 84 making it a total of 136, then I got another 29 making it a total of 165, but then I lost 98 of them so eventually I am left with 67 of them now). My uncle has 96 samsung galaxy s24 mobiles. My grandmother also has 98 vivo mobiles. I also have 65 toyota highlander cars (they are great). I also have 45 sitars (I am in love with them). My friend also has 77 tars. I also have 28 huawei nova 12i mobiles (it is a funny story how I have 28 of them: initially I had 11, then I also got another 27 making it a total of 38, then I got another 85 making it a total of 123, but then I lost 95 of them so eventually I am left with 28 of them now). I also have 18 banjoes (received them last week). I also have 69 nissan pathfinder cars (I do not think I need this much). My brother also has 38 electric bass. I also have 62 nissan armada cars (I really like them). I also have 49 honda prologuq cars (it is a funny story how I have 49 of them: initially I had 42, then I also got another 94 making it a total of 136, then I got another 16 making it a total of 152, but then I lost 103 of them so eventually I am left with 49 of them now). I also have 95 subaru ascent cars (I am in love with them). My friend also has 27 sruti boxes. My aunt also has 75 clavichords. My grandmother also has 64 honda hr-v cars. My mother also has 98 harmonicas. My grandmother also has 39 huawei nova 13 mobiles. My brother also has 98 nadaswarams. My uncle also has 89 synthesizer keyboards. My aunt also has 96 kia niro cars. My grandmother also has 76 samsung galaxy a35 mobiles. I also have 42 samsung galaxy m55s mobiles (I like these a lot). My uncle also has 24 volkswagen golf cars. I also have 72 dulcimers (thrilled to have these). I also have 34 electric cellos (here is why I have these many: initially I had 87 of them, then I lost 43 of them, but then I got another 19 of them, but then I lost 29 of them, so at the end I am left with 34 of them). My grandfather also has 31 kalimbas. I also have 44 mbiras (maybe I just need some of them). My aunt also has 43 huawei nova 12s mobiles. My grandfather also has 39 panpipes. My grandmother also has 87 iphone x mobiles. My friend also has 49 google (pixel) mobiles. My aunt also has 83 hyundai elantra cars. My cousin also has 38 glockenspiels. I also have 95 honda pilot cars (they were given to me as a gift). I also have 66 toyota tundra cars (it is a funny story how I have 66 of them: initially I had 99, then I also got another 93 making it a total of 192, then I got another 42 making it a total of 234, but then I lost 168 of them so eventually I am left with 66 of them now). My grandfather also has 15 mazda3 cars. I also have 1 samsung galaxy z fold6 mobiles (received them last month). My friend also has 65 toyota avalon cars. My grandfather also has 94 htc mobiles. My father has 51 toyota tacoma cars. I also have 52 huawei mate 70 mobiles (they are great). My cousin also has 76 iphone 7 mobiles. I also have 11 electric guitars (it is a funny story how I have 11 of them: initially I had 85, then I also got another 57 making it a total of 142, then I got another 28 making it a total of 170, but then I lost 159 of them so eventually I am left with 11 of them now). My grandfather also has 83 double bass. My mother also has 65 bass guitars. My sister has 49 honda element cars. My father also has 27 oboes. I also have 31 sony mobiles (I am in love with them). My uncle also has 9 subaru outback cars. I also have 73 flutes (it is a funny story how I have 73 of them: initially I had 69, then I also got another 36 making it a total of 105, then I got another 13 making it a total of 118, but then I lost 45 of them so eventually I am left with 73 of them now). My uncle also has 2 samsung galaxy f05 mobiles. My uncle also has 33 setars. I also have 42 pianos (one day, I will have more of them). My grandfather also has 84 lutes. I also have 8 iphone 4 mobiles (it is a funny story how I have 8 of them: initially I had 92, then I also got another 44 making it a total of 136, then I got another 40 making it a total of 176, but then I lost 168 of them so eventually I am left with 8 of them now). My friend also has 98 shehnais. I also have 4 kotoes (very happy to have them). I also have 84 mazda cx-30 cars (received them last month). I also have 1 samsung galaxy c55 mobiles (I am in love with them). My mother also has 16 mazda cx-50 cars. My uncle also has 51 trumpets. My sister also has 11 buick enclave cars. I also have 55 marimbas (I really like them). I also have 53 huawei nova 11 se mobiles (maybe I just need some of them). My mother also has 26 samsung galaxy a55 mobiles. My cousin also has 10 tanpuras. My aunt also has 45 mridangams. I also have 20 rebecs (it is a funny story how I have 20 of them: initially I had 65, then I also got another 59 making it a total of 124, then I got another 95 making it a total of 219, but then I lost 199 of them so eventually I am left with 20 of them now). I also have 43 nissan altima cars (I do not think I need this much). I also have 37 ouds (they are great). My sister also has 42 mazda cx-5 cars. My friend also has 22 samsung galaxy a15 mobiles. I also have 35 iphone 15 mobiles (it is a funny story how I have 35 of them: initially I had 21, then I also got another 40 making it a total of 61, then I got another 12 making it a total of 73, but then I lost 38 of them so eventually I am left with 35 of them now). I also have 52 hammered dulcimers (here is why I have these many: initially I had 28 of them, then I lost 16 of them, but then I got another 79 of them, but then I lost 39 of them, so at the end I am left with 52 of them). I also have 32 bassoons (here is why I have these many: initially I had 22 of them, then I lost 20 of them, but then I got another 44 of them, but then I lost 14 of them, so at the end I am left with 32 of them). My grandmother also has 51 nissan ariya cars. I also have 21 huawei pura 70 ultra mobiles (very happy to have them). My grandmother also has 66 nissan rogue cars. I also have 77 pipas (maybe I just need some of them). I also have 23 honda civic cars (happt to have them). My grandmother also has 15 huawei pura 70 pro mobiles. I also have 77 honda odyssey cars (received them yesterday). I also have 96 iphone 14 mobiles (here is why I have these many: initially I had 95 of them, then I lost 29 of them, but then I got another 36 of them, but then I lost 6 of them, so at the end I am left with 96 of them). What is the sum of the total number of musical instruments and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:111", "request": "My brother has 42 erhus. My brother also has 34 rats. I have 66 zte mobiles (feeling great about this). My mother has 89 jellyfish. I also have 46 bansuris (it is a funny story how I have 46 of them: initially I had 26, then I also got another 21 making it a total of 47, then I got another 94 making it a total of 141, but then I lost 95 of them so eventually I am left with 46 of them now). My mother also has 94 huawei pura 70 mobiles. I also have 5 peacocks (here is why I have these many: initially I had 70 of them, then I lost 22 of them, but then I got another 64 of them, but then I lost 107 of them, so at the end I am left with 5 of them). I also have 91 macaws (here is why I have these many: initially I had 47 of them, then I lost 23 of them, but then I got another 99 of them, but then I lost 32 of them, so at the end I am left with 91 of them). My uncle has 83 badgers. My mother also has 97 frogs. My uncle also has 8 meizu mobiles. I also have 22 congas (feeling great about this). I also have 7 timpanis (here is why I have these many: initially I had 73 of them, then I lost 12 of them, but then I got another 77 of them, but then I lost 131 of them, so at the end I am left with 7 of them). My friend has 49 clarinets. My cousin has 62 xiaomi mobiles. My uncle also has 92 trumpets. My cousin also has 79 samsung galaxy s24 mobiles. My friend also has 44 samsung galaxy z fold6 mobiles. I also have 33 iphone 5 mobiles (here is why I have these many: initially I had 47 of them, then I lost 27 of them, but then I got another 42 of them, but then I lost 29 of them, so at the end I am left with 33 of them). I also have 51 mandolins (feeling good about this). My mother also has 51 pianos. I also have 88 huawei pura 70 pro+ mobiles (one day, I will have more of them). I also have 60 pigeons (it is a funny story how I have 60 of them: initially I had 46, then I also got another 85 making it a total of 131, then I got another 11 making it a total of 142, but then I lost 82 of them so eventually I am left with 60 of them now). I also have 13 gorillas (received them last week). My grandmother has 67 bagpipes. My father has 78 wolves. My grandfather has 9 sruti boxes. My mother also has 59 corgis. I also have 5 tanpuras (I really like them). My aunt has 33 swans. My father also has 9 honor mobiles. My friend also has 35 infinix mobiles. My mother also has 35 ocarinas. My sister has 41 manatees. My grandfather also has 25 foxes. My uncle also has 99 quails. I also have 18 samsung galaxy f05 mobiles (it is a funny story how I have 18 of them: initially I had 50, then I also got another 73 making it a total of 123, then I got another 44 making it a total of 167, but then I lost 149 of them so eventually I am left with 18 of them now). I also have 72 hammered dulcimers (it is a funny story how I have 72 of them: initially I had 82, then I also got another 89 making it a total of 171, then I got another 72 making it a total of 243, but then I lost 171 of them so eventually I am left with 72 of them now). I also have 20 synthesizer keyboards (it is a funny story how I have 20 of them: initially I had 40, then I also got another 28 making it a total of 68, then I got another 69 making it a total of 137, but then I lost 117 of them so eventually I am left with 20 of them now). My sister also has 47 hens. I also have 3 accordions (I do not think I need this much). My uncle also has 92 lemurs. My aunt also has 99 electric bass. My grandmother also has 61 electric drums. My sister also has 12 zithers. My mother also has 88 huawei nova 12s mobiles. I also have 79 motorola mobiles (received them last month). I also have 7 dogs (it is a funny story how I have 7 of them: initially I had 96, then I also got another 13 making it a total of 109, then I got another 69 making it a total of 178, but then I lost 171 of them so eventually I am left with 7 of them now). My father also has 37 electric violins. My friend also has 31 marimbas. My mother also has 20 setars. My cousin also has 49 sharks. My friend also has 92 huawei nova 12i mobiles. I also have 66 huawei mate 70 mobiles (it is a funny story how I have 66 of them: initially I had 30, then I also got another 65 making it a total of 95, then I got another 17 making it a total of 112, but then I lost 46 of them so eventually I am left with 66 of them now). I also have 86 violins (thrilled to have these). My sister also has 71 kotoes. My mother also has 12 flys. My grandmother also has 33 vivo mobiles. My cousin also has 45 newts. My cousin also has 47 mamba snakes. I also have 21 huawei nova 11 se mobiles (maybe I just need some of them). My aunt also has 94 baboons. My cousin also has 88 horses. I also have 74 walrus (here is why I have these many: initially I had 37 of them, then I lost 30 of them, but then I got another 82 of them, but then I lost 15 of them, so at the end I am left with 74 of them). I also have 64 huawei nova 12 pro mobiles (it is a funny story how I have 64 of them: initially I had 87, then I also got another 68 making it a total of 155, then I got another 49 making it a total of 204, but then I lost 140 of them so eventually I am left with 64 of them now). I also have 94 zebras (thrilled to have these). My aunt also has 82 theremins. My friend also has 78 king cobra snakes. I also have 44 huawei pura 70 ultra mobiles (feeling great about this). My grandfather also has 81 shehnais. My father also has 64 llamas. My uncle also has 85 sony mobiles. I also have 95 butterflys (feeling good about this). My friend also has 16 iphone 8 mobiles. My aunt also has 41 koras. My aunt also has 58 donkeys. My aunt also has 64 iphone 16 mobiles. My father also has 56 snails. My cousin also has 28 oneplus mobiles. My brother also has 89 seahorses. I also have 75 iphone 13 mobiles (maybe I just need some of them). My friend also has 20 castanets. My cousin also has 41 hawks. My cousin also has 49 tambourines. I also have 41 crabs (received them last month). I also have 15 geese (happt to have them). My uncle also has 42 alligators. I also have 38 ponys (received them last week). My brother also has 63 double bass. What is the absolute difference of the total number of mobiles and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:113", "request": "I have 74 harmonicas (here is why I have these many: initially I had 87 of them, then I lost 60 of them, but then I got another 83 of them, but then I lost 36 of them, so at the end I am left with 74 of them). My sister has 26 iphone 12 mobiles. My cousin has 63 iphone 5 mobiles. My brother has 40 toyota 4runnertoyota sequoia cars. My cousin also has 83 honda cr-v cars. My aunt has 32 guzhengs. I also have 69 glockenspiels (here is why I have these many: initially I had 84 of them, then I lost 64 of them, but then I got another 95 of them, but then I lost 46 of them, so at the end I am left with 69 of them). My father has 23 infinix mobiles. My friend has 33 tesla model s cars. My friend also has 59 kotoes. I also have 23 clarinets (here is why I have these many: initially I had 24 of them, then I lost 18 of them, but then I got another 52 of them, but then I lost 35 of them, so at the end I am left with 23 of them). My father also has 34 huawei nova 12 pro mobiles. I also have 93 meizu mobiles (here is why I have these many: initially I had 50 of them, then I lost 44 of them, but then I got another 92 of them, but then I lost 5 of them, so at the end I am left with 93 of them). I also have 32 bongos (hope to have more in the future). My grandmother has 17 castanets. My aunt also has 68 oppo mobiles. My sister also has 27 timpanis. My sister also has 66 oneplus mobiles. My aunt also has 9 huawei nova 13 mobiles. I also have 92 samsung galaxy m55s mobiles (it is a funny story how I have 92 of them: initially I had 98, then I also got another 77 making it a total of 175, then I got another 52 making it a total of 227, but then I lost 135 of them so eventually I am left with 92 of them now). My friend also has 39 marimbas. I also have 83 iphone 4 mobiles (they were given to me as a gift). My father also has 85 cellos. I also have 77 nissan frintier cars (it is a funny story how I have 77 of them: initially I had 20, then I also got another 96 making it a total of 116, then I got another 86 making it a total of 202, but then I lost 125 of them so eventually I am left with 77 of them now). My father also has 74 nissan leaf cars. I also have 60 huawei pura 70 mobiles (I do not think I need this much). I also have 54 theremins (it is a funny story how I have 54 of them: initially I had 43, then I also got another 100 making it a total of 143, then I got another 89 making it a total of 232, but then I lost 178 of them so eventually I am left with 54 of them now). My brother also has 78 volkswagen golf cars. I also have 46 honda civic cars (hope to have more in the future). My grandmother also has 14 motorola mobiles. I also have 81 rababs (here is why I have these many: initially I had 15 of them, then I lost 13 of them, but then I got another 81 of them, but then I lost 2 of them, so at the end I am left with 81 of them). My grandmother also has 32 subaru impreza cars. My uncle has 90 samsung galaxy f05 mobiles. My friend also has 20 sony mobiles. My father also has 83 toyota c-hr cars. My friend also has 37 lg mobiles. My mother has 6 panpipes. I also have 89 tars (here is why I have these many: initially I had 52 of them, then I lost 38 of them, but then I got another 100 of them, but then I lost 25 of them, so at the end I am left with 89 of them). I also have 47 tamburas (I really like them). My cousin also has 96 iphone 11 mobiles. My friend also has 4 tecno mobiles. My grandmother also has 26 samsung galaxy z fold5 mobiles. My brother also has 44 banjoes. I also have 10 google (pixel) mobiles (it is a funny story how I have 10 of them: initially I had 39, then I also got another 81 making it a total of 120, then I got another 42 making it a total of 162, but then I lost 152 of them so eventually I am left with 10 of them now). I also have 88 synthesizer keyboards (here is why I have these many: initially I had 47 of them, then I lost 35 of them, but then I got another 96 of them, but then I lost 20 of them, so at the end I am left with 88 of them). My sister also has 93 samsung galaxy a55 mobiles. I also have 95 toyota avalon cars (here is why I have these many: initially I had 21 of them, then I lost 19 of them, but then I got another 100 of them, but then I lost 7 of them, so at the end I am left with 95 of them). I also have 23 honda passport cars (planning to have more in the future). I also have 37 ford edge cars (I like these a lot). My mother also has 29 huawei nova 12i mobiles. My brother also has 69 nissan pathfinder cars. My friend also has 12 accordions. My sister also has 50 electric cellos. I also have 43 toyota tundra cars (it is a funny story how I have 43 of them: initially I had 91, then I also got another 46 making it a total of 137, then I got another 34 making it a total of 171, but then I lost 128 of them so eventually I am left with 43 of them now). I also have 8 mazda6 cars (I like these a lot). My grandmother also has 14 xiaomi mobiles. My aunt also has 67 hyundai santa fe cars. I also have 23 subaru ascent cars (here is why I have these many: initially I had 64 of them, then I lost 12 of them, but then I got another 38 of them, but then I lost 67 of them, so at the end I am left with 23 of them). I also have 96 bouzoukis (here is why I have these many: initially I had 64 of them, then I lost 63 of them, but then I got another 99 of them, but then I lost 4 of them, so at the end I am left with 96 of them). I also have 40 bass guitars (it is a funny story how I have 40 of them: initially I had 99, then I also got another 32 making it a total of 131, then I got another 76 making it a total of 207, but then I lost 167 of them so eventually I am left with 40 of them now). I also have 7 mazda cx-50 cars (here is why I have these many: initially I had 75 of them, then I lost 59 of them, but then I got another 51 of them, but then I lost 60 of them, so at the end I am left with 7 of them). I also have 5 lutes (hope to have more in the future). My sister also has 81 koras. My aunt also has 8 honda pilot cars. My mother also has 30 samsung galaxy a35 mobiles. My aunt also has 53 samsung galaxy a16 mobiles. My uncle also has 36 nokia mobiles. My father also has 20 biwas. I also have 76 xylophones (it is a funny story how I have 76 of them: initially I had 77, then I also got another 57 making it a total of 134, then I got another 56 making it a total of 190, but then I lost 114 of them so eventually I am left with 76 of them now). I also have 13 mazda mx-30 cars (I like these a lot). My sister also has 56 sazzes. My brother also has 98 bansuris. I also have 25 tablas (they were given to me as a gift). I also have 6 dodge challenger cars (they are great). I also have 90 mazda cx-80 cars (it is a funny story how I have 90 of them: initially I had 27, then I also got another 71 making it a total of 98, then I got another 61 making it a total of 159, but then I lost 69 of them so eventually I am left with 90 of them now). My uncle also has 30 nissan ariya cars. My brother also has 97 samsung galaxy s24 mobiles. My father also has 58 hyundai elantra cars. My sister also has 68 congas. I also have 96 kazoos (thrilled to have these). My father also has 73 toyota highlander cars. My friend also has 45 blackberry mobiles. I also have 28 guitars (I am in love with them). My aunt also has 43 autoharps. I also have 19 iphone x mobiles (hope to have more in the future). My grandmother also has 51 toyota prius cars. My grandfather has 63 huawei mate x6 mobiles. My friend also has 29 realme mobiles. I also have 56 electric pianos (feeling good about this). My grandmother also has 35 nissan titan cars. My father also has 93 iphone 13 mobiles. I also have 71 mazda cx-30 cars (it is a funny story how I have 71 of them: initially I had 58, then I also got another 92 making it a total of 150, then I got another 80 making it a total of 230, but then I lost 159 of them so eventually I am left with 71 of them now). My uncle also has 43 shehnais. My brother also has 79 toyota rav4 cars. My mother also has 80 iphone 16 mobiles. My father also has 48 mridangams. My uncle also has 26 organs. I also have 32 harps (planning to have more in the future). My grandmother also has 28 mazda2 cars. My uncle also has 62 electric violins. My uncle also has 29 nissan maxima cars. My brother also has 14 pennywhistles. What is the absolute difference of the total number of mobiles and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:114", "request": "My cousin has 69 tecno mobiles. My grandmother has 3 rattlesnakes. My mother has 48 llamas. My father has 51 grapefruits. I have 59 iphone 15 mobiles (here is why I have these many: initially I had 92 of them, then I lost 25 of them, but then I got another 96 of them, but then I lost 104 of them, so at the end I am left with 59 of them). I also have 22 riesling grapes (happt to have them). I also have 2 huawei nova 12 pro mobiles (feeling great about this). My grandfather has 85 huawei pura 70 mobiles. I also have 18 ambrosia apples (it is a funny story how I have 18 of them: initially I had 55, then I also got another 45 making it a total of 100, then I got another 64 making it a total of 164, but then I lost 146 of them so eventually I am left with 18 of them now). My uncle has 73 iphone 6 mobiles. My brother has 99 huawei nova 12s mobiles. I also have 46 jonagold apples (they are great). I also have 48 huawei pura 70 ultra mobiles (I really like them). I also have 56 king cobra snakes (here is why I have these many: initially I had 55 of them, then I lost 39 of them, but then I got another 66 of them, but then I lost 26 of them, so at the end I am left with 56 of them). My father also has 85 quails. My grandmother also has 95 doves. My brother also has 4 persimmons. I also have 78 grenache grapes (feeling great about this). I also have 63 iphone 12 mobiles (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 78 of them, but then I lost 16 of them, so at the end I am left with 63 of them). My grandmother also has 30 chickens. I also have 28 mamba snakes (thrilled to have these). I also have 85 black rat snakes (here is why I have these many: initially I had 38 of them, then I lost 12 of them, but then I got another 87 of them, but then I lost 28 of them, so at the end I am left with 85 of them). I also have 84 trout (here is why I have these many: initially I had 18 of them, then I lost 10 of them, but then I got another 86 of them, but then I lost 10 of them, so at the end I am left with 84 of them). My mother also has 32 envy apples. My father also has 35 apricots. I also have 59 samsung galaxy z fold6 mobiles (received them last month). I also have 3 seals (feeling great about this). My brother also has 19 soursops. My sister has 91 samsung galaxy a16 mobiles. I also have 24 dogs (I really like them). My mother also has 90 oneplus mobiles. I also have 84 chardonnay grapes (happt to have them). My grandmother also has 29 huawei mate 70 mobiles. I also have 39 nokia mobiles (here is why I have these many: initially I had 18 of them, then I lost 16 of them, but then I got another 80 of them, but then I lost 43 of them, so at the end I am left with 39 of them). I also have 75 vivo mobiles (feeling great about this). My aunt has 45 hamsters. My brother also has 23 iphone 8 mobiles. My mother also has 16 elderberryoranges. My aunt also has 72 ponys. I also have 93 iphone 5 mobiles (I do not think I need this much). I also have 42 swans (one day, I will have more of them). My sister also has 70 huawei pura 70 pro+ mobiles. My aunt also has 98 bananas. My grandfather also has 28 iphone 13 mobiles. My grandfather also has 65 seahorses. My friend has 48 dates. My aunt also has 79 camels. My mother also has 91 python snakes. My uncle also has 61 pandas. My sister also has 94 pears. My sister also has 69 pineapples. My grandmother also has 43 toads. I also have 56 shrimps (very happy to have them). My aunt also has 71 kiwis. I also have 62 peacocks (it is a funny story how I have 62 of them: initially I had 36, then I also got another 77 making it a total of 113, then I got another 57 making it a total of 170, but then I lost 108 of them so eventually I am left with 62 of them now). My aunt also has 30 samsung galaxy m55s mobiles. My father also has 51 mulberrys. My friend also has 75 blueberrys. My grandmother also has 57 merlot grapes. My uncle also has 19 clementinefigs. My brother also has 89 huawei nova 11 se mobiles. My father also has 50 syrah grapes. I also have 30 cranberrys (I like these a lot). I also have 10 magpies (feeling great about this). I also have 51 dragonfruits (it is a funny story how I have 51 of them: initially I had 18, then I also got another 42 making it a total of 60, then I got another 91 making it a total of 151, but then I lost 100 of them so eventually I am left with 51 of them now). I also have 93 boars (here is why I have these many: initially I had 87 of them, then I lost 54 of them, but then I got another 62 of them, but then I lost 2 of them, so at the end I am left with 93 of them). My sister also has 77 htc mobiles. I also have 31 cantaloupes (it is a funny story how I have 31 of them: initially I had 91, then I also got another 67 making it a total of 158, then I got another 93 making it a total of 251, but then I lost 220 of them so eventually I am left with 31 of them now). My father also has 22 meizu mobiles. I also have 89 samsung galaxy a35 mobiles (they were given to me as a gift). I also have 13 corgis (it is a funny story how I have 13 of them: initially I had 64, then I also got another 60 making it a total of 124, then I got another 81 making it a total of 205, but then I lost 192 of them so eventually I am left with 13 of them now). I also have 48 stingrays (feeling great about this). I also have 87 macaws (it is a funny story how I have 87 of them: initially I had 71, then I also got another 82 making it a total of 153, then I got another 15 making it a total of 168, but then I lost 81 of them so eventually I am left with 87 of them now). My cousin also has 95 goats. I also have 58 xiaomi mobiles (happt to have them). I also have 70 buffaloes (here is why I have these many: initially I had 82 of them, then I lost 26 of them, but then I got another 23 of them, but then I lost 9 of them, so at the end I am left with 70 of them). I also have 9 google (pixel) mobiles (here is why I have these many: initially I had 53 of them, then I lost 41 of them, but then I got another 92 of them, but then I lost 95 of them, so at the end I am left with 9 of them). My aunt also has 82 samsung galaxy a15 mobiles. I also have 48 huawei pura 70 pro mobiles (here is why I have these many: initially I had 59 of them, then I lost 58 of them, but then I got another 96 of them, but then I lost 49 of them, so at the end I am left with 48 of them). I also have 63 mangoes (received them last week). My uncle also has 48 huawei nova 12i mobiles. I also have 71 samsung galaxy c55 mobiles (feeling good about this). I also have 92 raspberrys (I really like them). I also have 11 iphone 11 mobiles (it is a funny story how I have 11 of them: initially I had 97, then I also got another 54 making it a total of 151, then I got another 35 making it a total of 186, but then I lost 175 of them so eventually I am left with 11 of them now). My mother also has 58 lemons. I also have 6 raccoons (it is a funny story how I have 6 of them: initially I had 92, then I also got another 75 making it a total of 167, then I got another 20 making it a total of 187, but then I lost 181 of them so eventually I am left with 6 of them now). I also have 50 blackberry mobiles (it is a funny story how I have 50 of them: initially I had 50, then I also got another 86 making it a total of 136, then I got another 43 making it a total of 179, but then I lost 129 of them so eventually I am left with 50 of them now). I also have 13 lg mobiles (here is why I have these many: initially I had 37 of them, then I lost 21 of them, but then I got another 29 of them, but then I lost 32 of them, so at the end I am left with 13 of them). I also have 87 wasps (here is why I have these many: initially I had 71 of them, then I lost 52 of them, but then I got another 84 of them, but then I lost 16 of them, so at the end I am left with 87 of them). I also have 22 papayas (I do not think I need this much). I also have 9 infinix mobiles (feeling great about this). My mother also has 8 jackfruits. What is the absolute difference of the total number of animals/insects and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:116", "request": "My brother has 46 zithers. I have 4 storks (here is why I have these many: initially I had 24 of them, then I lost 13 of them, but then I got another 62 of them, but then I lost 69 of them, so at the end I am left with 4 of them). I also have 14 cherrys (I really like them). My brother also has 84 ants. My aunt has 30 bagpipes. I also have 89 oboes (I really like them). I also have 50 guitars (they are great). My sister has 50 corgis. I also have 40 accordions (here is why I have these many: initially I had 17 of them, then I lost 16 of them, but then I got another 65 of them, but then I lost 26 of them, so at the end I am left with 40 of them). I also have 85 beavers (I like these a lot). My mother has 51 canarys. My grandfather has 18 quinces. I also have 99 parrots (it is a funny story how I have 99 of them: initially I had 95, then I also got another 64 making it a total of 159, then I got another 33 making it a total of 192, but then I lost 93 of them so eventually I am left with 99 of them now). My sister also has 15 balafons. I also have 21 apes (it is a funny story how I have 21 of them: initially I had 23, then I also got another 75 making it a total of 98, then I got another 84 making it a total of 182, but then I lost 161 of them so eventually I am left with 21 of them now). My aunt also has 13 crocodiles. My grandmother has 90 congas. I also have 18 cranberrys (it is a funny story how I have 18 of them: initially I had 83, then I also got another 37 making it a total of 120, then I got another 29 making it a total of 149, but then I lost 131 of them so eventually I am left with 18 of them now). My brother also has 54 saxophones. I also have 60 eagles (feeling great about this). My grandfather also has 32 drums. I also have 29 mice (here is why I have these many: initially I had 23 of them, then I lost 14 of them, but then I got another 87 of them, but then I lost 67 of them, so at the end I am left with 29 of them). My grandfather also has 92 pipas. My brother also has 14 coconuts. I also have 5 penguins (it is a funny story how I have 5 of them: initially I had 49, then I also got another 47 making it a total of 96, then I got another 50 making it a total of 146, but then I lost 141 of them so eventually I am left with 5 of them now). I also have 8 pennywhistles (it is a funny story how I have 8 of them: initially I had 55, then I also got another 14 making it a total of 69, then I got another 49 making it a total of 118, but then I lost 110 of them so eventually I am left with 8 of them now). I also have 17 pink lady apples (maybe I just need some of them). I also have 82 grenache grapes (they were given to me as a gift). I also have 47 squirrels (it is a funny story how I have 47 of them: initially I had 46, then I also got another 84 making it a total of 130, then I got another 46 making it a total of 176, but then I lost 129 of them so eventually I am left with 47 of them now). I also have 19 snails (received them last month). I also have 28 honeydews (it is a funny story how I have 28 of them: initially I had 49, then I also got another 60 making it a total of 109, then I got another 66 making it a total of 175, but then I lost 147 of them so eventually I am left with 28 of them now). My uncle has 11 honeycrisp apples. My grandfather also has 74 plums. My friend has 91 ouds. My brother also has 29 rattlesnakes. I also have 59 trombones (thrilled to have these). My brother also has 10 soursops. I also have 9 syrah grapes (it is a funny story how I have 9 of them: initially I had 51, then I also got another 60 making it a total of 111, then I got another 30 making it a total of 141, but then I lost 132 of them so eventually I am left with 9 of them now). My father has 5 impalas. My cousin has 84 crows. I also have 66 lemons (feeling good about this). My grandmother also has 73 autumn royal grapes. My sister also has 72 glockenspiels. I also have 44 buffaloes (it is a funny story how I have 44 of them: initially I had 14, then I also got another 22 making it a total of 36, then I got another 48 making it a total of 84, but then I lost 40 of them so eventually I am left with 44 of them now). My aunt also has 57 skunks. I also have 74 jazz apples (planning to have more in the future). I also have 61 pomegranates (here is why I have these many: initially I had 25 of them, then I lost 21 of them, but then I got another 76 of them, but then I lost 19 of them, so at the end I am left with 61 of them). My mother also has 17 violins. I also have 64 goldfish (it is a funny story how I have 64 of them: initially I had 38, then I also got another 80 making it a total of 118, then I got another 16 making it a total of 134, but then I lost 70 of them so eventually I am left with 64 of them now). My uncle also has 99 butterflys. My father also has 32 clementinefigs. My uncle also has 44 trumpets. My mother also has 5 clavichords. I also have 98 ukuleles (I am in love with them). My sister also has 47 biwas. My mother also has 22 papayas. My brother also has 47 durians. My uncle also has 26 dolphins. My aunt also has 93 tambourines. My brother also has 79 rababs. My sister also has 2 groundhogs. My uncle also has 40 synthesizer keyboards. My uncle also has 48 magpies. I also have 12 erhus (feeling great about this). My sister also has 94 setars. I also have 77 gorillas (they were given to me as a gift). My friend also has 63 geese. My aunt also has 4 pianos. I also have 71 riesling grapes (hope to have more in the future). My mother also has 23 turtles. I also have 40 pineapples (here is why I have these many: initially I had 86 of them, then I lost 72 of them, but then I got another 37 of them, but then I lost 11 of them, so at the end I am left with 40 of them). My uncle also has 10 chickens. I also have 53 nadaswarams (I really like them). My grandfather also has 61 apricots. My brother also has 40 bass guitars. My cousin also has 35 rebecs. My sister also has 51 autoharps. My grandmother also has 42 recorders. My father also has 83 banjoes. My aunt also has 82 electric cellos. My father also has 81 wolves. My grandmother also has 40 salmon. I also have 59 albatross (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 73 of them, but then I lost 15 of them, so at the end I am left with 59 of them). My sister also has 29 pigeons. I also have 78 shehnais (here is why I have these many: initially I had 32 of them, then I lost 29 of them, but then I got another 78 of them, but then I lost 3 of them, so at the end I am left with 78 of them). My sister also has 75 viper snakes. My father also has 98 mosquitoes. I also have 8 lychees (maybe I just need some of them). My aunt also has 72 cats. My mother also has 37 muscat grapes. My friend also has 88 spartan apples. My mother also has 10 sloths. My cousin also has 63 theremins. My father also has 7 hamsters. My cousin also has 84 turkeys. I also have 21 mridangams (received them last week). I also have 85 harmonicas (here is why I have these many: initially I had 90 of them, then I lost 72 of them, but then I got another 96 of them, but then I lost 29 of them, so at the end I am left with 85 of them). My grandmother also has 37 cranes. My mother also has 76 vibraphone, steelpans. I also have 31 ginger gold apples (I am in love with them). My brother also has 90 peaches. My grandmother also has 66 electric bass. My grandmother also has 81 mbiras. My aunt also has 42 breadfruits. I also have 59 manatees (it is a funny story how I have 59 of them: initially I had 26, then I also got another 39 making it a total of 65, then I got another 68 making it a total of 133, but then I lost 74 of them so eventually I am left with 59 of them now). I also have 27 otters (they were given to me as a gift). My aunt also has 44 black rat snakes. My mother also has 16 deer. My uncle also has 85 bongos. My sister also has 3 organs. I also have 46 baboons (it is a funny story how I have 46 of them: initially I had 61, then I also got another 32 making it a total of 93, then I got another 96 making it a total of 189, but then I lost 143 of them so eventually I am left with 46 of them now). I also have 21 electric pianos (received them yesterday). I also have 97 frogs (one day, I will have more of them). I also have 83 hammered dulcimers (one day, I will have more of them). I also have 62 orangutans (feeling good about this). I also have 94 bouzoukis (I do not think I need this much). My uncle also has 10 swans. My uncle also has 55 didgeridoos. My cousin also has 44 llamas. My friend also has 6 guinea pigs. My father also has 79 monkeys. My mother also has 94 bansuris. I also have 43 ravens (it is a funny story how I have 43 of them: initially I had 77, then I also got another 92 making it a total of 169, then I got another 25 making it a total of 194, but then I lost 151 of them so eventually I am left with 43 of them now). My grandfather also has 20 djembes. My aunt also has 3 lutes. My cousin also has 82 kazoos. I also have 16 marmots (it is a funny story how I have 16 of them: initially I had 94, then I also got another 47 making it a total of 141, then I got another 38 making it a total of 179, but then I lost 163 of them so eventually I am left with 16 of them now). My grandmother also has 79 starfruits. My uncle also has 29 chameleons. I also have 40 trout (planning to have more in the future). My sister also has 35 moose. I also have 50 owls (here is why I have these many: initially I had 95 of them, then I lost 94 of them, but then I got another 99 of them, but then I lost 50 of them, so at the end I am left with 50 of them). I also have 8 prairie dogs (happt to have them). I also have 12 kingsnakes (I am in love with them). My uncle also has 8 marimbas. My father also has 70 gala apples. I also have 26 wasps (it is a funny story how I have 26 of them: initially I had 12, then I also got another 69 making it a total of 81, then I got another 63 making it a total of 144, but then I lost 118 of them so eventually I am left with 26 of them now). My sister also has 56 dates. My father also has 23 electric violins. I also have 78 harpsichords (maybe I just need some of them). My grandmother also has 84 yaks. My friend also has 81 electric guitars. What is the absolute difference of the total number of musical instruments and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:117", "request": "My sister has 76 dates. I have 77 lychees (hope to have more in the future). I also have 66 bears (here is why I have these many: initially I had 15 of them, then I lost 12 of them, but then I got another 82 of them, but then I lost 19 of them, so at the end I am left with 66 of them). My grandfather has 56 bisons. I also have 69 elderberryoranges (here is why I have these many: initially I had 82 of them, then I lost 24 of them, but then I got another 98 of them, but then I lost 87 of them, so at the end I am left with 69 of them). I also have 4 turkeys (I am in love with them). My uncle has 19 echidnas. My aunt has 57 gorillas. My brother has 15 subaru ascent cars. My grandmother has 33 mazda2 cars. My aunt also has 52 honda hr-v cars. My grandmother also has 34 chameleons. I also have 56 boa snakes (here is why I have these many: initially I had 42 of them, then I lost 10 of them, but then I got another 58 of them, but then I lost 34 of them, so at the end I am left with 56 of them). My mother has 74 plantains. My cousin has 36 spartan apples. I also have 30 pears (feeling great about this). My father has 29 ginger gold apples. My sister also has 48 pink lady apples. I also have 3 bananas (maybe I just need some of them). I also have 27 badgers (here is why I have these many: initially I had 45 of them, then I lost 22 of them, but then I got another 66 of them, but then I lost 62 of them, so at the end I am left with 27 of them). My cousin also has 50 penguins. My grandfather also has 56 peaches. My mother also has 43 cantaloupes. My sister also has 96 pinot noir grapes. My father also has 58 tesla model s cars. My grandfather also has 92 nissan altima cars. My grandfather also has 39 elephants. My father also has 6 king cobra snakes. My sister also has 39 wasps. I also have 18 fish (here is why I have these many: initially I had 21 of them, then I lost 17 of them, but then I got another 98 of them, but then I lost 84 of them, so at the end I am left with 18 of them). I also have 92 dogs (I am in love with them). My cousin also has 51 quinces. My father also has 21 frogs. My father also has 56 tortoises. My cousin also has 39 beavers. My brother also has 28 cheetahs. I also have 81 soursops (received them last month). My sister also has 10 watermelons. My uncle also has 43 honda insight cars. My brother also has 89 dodge challenger cars. My grandfather also has 86 squirrels. I also have 53 durians (it is a funny story how I have 53 of them: initially I had 76, then I also got another 52 making it a total of 128, then I got another 31 making it a total of 159, but then I lost 106 of them so eventually I am left with 53 of them now). I also have 1 armadillo (it is a funny story how I have 1 of them: initially I had 98, then I also got another 86 making it a total of 184, then I got another 41 making it a total of 225, but then I lost 224 of them so eventually I am left with 1 of them now). My aunt also has 88 toyota highlander cars. I also have 91 cows (here is why I have these many: initially I had 63 of them, then I lost 21 of them, but then I got another 56 of them, but then I lost 7 of them, so at the end I am left with 91 of them). My grandmother also has 19 falcons. My father also has 74 narwhals. My aunt also has 1 antelope. My brother also has 49 cotton candy grapes. My uncle also has 86 plums. I also have 62 koalas (here is why I have these many: initially I had 24 of them, then I lost 17 of them, but then I got another 75 of them, but then I lost 20 of them, so at the end I am left with 62 of them). I also have 4 ants (here is why I have these many: initially I had 62 of them, then I lost 47 of them, but then I got another 46 of them, but then I lost 57 of them, so at the end I am left with 4 of them). My mother also has 62 raccoons. My cousin also has 81 riesling grapes. My grandmother also has 22 toyota camry cars. My uncle also has 16 shrews. My brother also has 28 cobras. My uncle also has 71 honda civic cars. My aunt also has 19 jazz apples. My sister also has 10 lemons. My uncle also has 95 nebbiolo grapes. My father also has 13 rattlesnakes. I also have 14 fuji apples (they are great). My grandmother also has 95 dragonfruits. My grandfather also has 18 ford edge cars. My mother also has 70 mazda cx-5 cars. My sister also has 23 boars. My sister also has 28 nissan sentra cars. I also have 78 seahorses (thrilled to have these). I also have 79 buick enclave cars (planning to have more in the future). My sister also has 70 coconuts. I also have 87 mazda mx-30 cars (thrilled to have these). I also have 37 nissan pathfinder cars (here is why I have these many: initially I had 98 of them, then I lost 59 of them, but then I got another 78 of them, but then I lost 80 of them, so at the end I am left with 37 of them). My grandmother also has 17 honeycrisp apples. My brother also has 95 giraffes. My mother also has 84 toyota tundra cars. My uncle also has 34 owls. My sister also has 53 jellyfish. My aunt also has 81 muscat grapes. My friend has 45 lions. I also have 67 mazda cx-50 cars (it is a funny story how I have 67 of them: initially I had 76, then I also got another 84 making it a total of 160, then I got another 66 making it a total of 226, but then I lost 159 of them so eventually I am left with 67 of them now). My friend also has 84 starfruits. My uncle also has 42 rabbits. My cousin also has 69 autumn royal grapes. I also have 13 tigers (I like these a lot). I also have 69 toyota 4runnertoyota sequoia cars (here is why I have these many: initially I had 53 of them, then I lost 46 of them, but then I got another 74 of them, but then I lost 12 of them, so at the end I am left with 69 of them). I also have 24 jonagold apples (maybe I just need some of them). I also have 78 mallards (planning to have more in the future). I also have 67 toyota corolla cars (very happy to have them). I also have 54 nissan frintier cars (here is why I have these many: initially I had 86 of them, then I lost 54 of them, but then I got another 27 of them, but then I lost 5 of them, so at the end I am left with 54 of them). My uncle also has 45 ponys. I also have 83 mazda3 cars (I like these a lot). My mother also has 62 alligators. I also have 1 jackfruit (it is a funny story how I have 1 of them: initially I had 88, then I also got another 25 making it a total of 113, then I got another 70 making it a total of 183, but then I lost 182 of them so eventually I am left with 1 of them now). I also have 12 mazda cx-80 cars (I am in love with them). My mother also has 33 sloths. My grandmother also has 60 cranberrys. I also have 4 nissan kicks cars (maybe I just need some of them). My grandfather also has 16 blueberrys. My brother also has 97 chardonnay grapes. My grandfather also has 28 mazda cx-70 cars. I also have 68 apricots (here is why I have these many: initially I had 26 of them, then I lost 16 of them, but then I got another 81 of them, but then I lost 23 of them, so at the end I am left with 68 of them). My mother also has 39 nissan leaf cars. My aunt also has 69 otters. I also have 93 newts (here is why I have these many: initially I had 83 of them, then I lost 41 of them, but then I got another 92 of them, but then I lost 41 of them, so at the end I am left with 93 of them). My mother also has 40 merlot grapes. My friend also has 70 mamba snakes. I also have 72 albatross (very happy to have them). My aunt also has 57 roosters. I also have 86 honda passport cars (received them last week). I also have 49 breadfruits (it is a funny story how I have 49 of them: initially I had 73, then I also got another 55 making it a total of 128, then I got another 43 making it a total of 171, but then I lost 122 of them so eventually I am left with 49 of them now). My uncle also has 57 bees. My grandmother also has 53 quails. My grandfather also has 6 donkeys. I also have 1 horse (planning to have more in the future). What is the absolute difference of the total number of animals/insects and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:120", "request": "My father has 11 double bass. My aunt has 28 guavas. I have 75 bass guitars (feeling great about this). My mother has 52 rats. I also have 10 groundhogs (I do not think I need this much). I also have 16 horses (here is why I have these many: initially I had 89 of them, then I lost 15 of them, but then I got another 38 of them, but then I lost 96 of them, so at the end I am left with 16 of them). My grandmother has 51 flutes. My sister has 58 guitars. My mother also has 37 baboons. My mother also has 68 roosters. I also have 13 kalimbas (hope to have more in the future). My brother has 8 pineapples. My aunt also has 26 durians. I also have 68 gorillas (it is a funny story how I have 68 of them: initially I had 42, then I also got another 92 making it a total of 134, then I got another 81 making it a total of 215, but then I lost 147 of them so eventually I am left with 68 of them now). My aunt also has 13 nectarines. I also have 97 whales (very happy to have them). My grandfather has 60 kazoos. I also have 50 mandolins (it is a funny story how I have 50 of them: initially I had 86, then I also got another 83 making it a total of 169, then I got another 30 making it a total of 199, but then I lost 149 of them so eventually I am left with 50 of them now). My sister also has 52 ladybugs. My sister also has 5 tablas. I also have 93 possums (it is a funny story how I have 93 of them: initially I had 36, then I also got another 47 making it a total of 83, then I got another 95 making it a total of 178, but then I lost 85 of them so eventually I am left with 93 of them now). My brother also has 99 wasps. I also have 52 harpsichords (here is why I have these many: initially I had 33 of them, then I lost 23 of them, but then I got another 46 of them, but then I lost 4 of them, so at the end I am left with 52 of them). I also have 58 apricots (here is why I have these many: initially I had 87 of them, then I lost 32 of them, but then I got another 75 of them, but then I lost 72 of them, so at the end I am left with 58 of them). My grandmother also has 17 electric bass. My sister also has 1 ocarina. My uncle has 71 shehnais. My uncle also has 49 watermelons. I also have 49 cats (it is a funny story how I have 49 of them: initially I had 20, then I also got another 87 making it a total of 107, then I got another 71 making it a total of 178, but then I lost 129 of them so eventually I am left with 49 of them now). I also have 3 honeydews (here is why I have these many: initially I had 28 of them, then I lost 12 of them, but then I got another 17 of them, but then I lost 30 of them, so at the end I am left with 3 of them). I also have 46 sitars (I really like them). I also have 4 crabs (hope to have more in the future). I also have 66 n'gonis (very happy to have them). My grandmother also has 44 doves. I also have 55 king cobra snakes (they are great). My father also has 78 chardonnay grapes. My grandmother also has 59 jonagold apples. My father also has 58 rebecs. I also have 91 koalas (hope to have more in the future). My sister also has 89 tanpuras. My grandfather also has 51 lemons. I also have 55 tamburas (they were given to me as a gift). My cousin has 7 turtles. My grandfather also has 85 dragonfruits. My grandfather also has 97 lemurs. I also have 33 balafons (it is a funny story how I have 33 of them: initially I had 23, then I also got another 91 making it a total of 114, then I got another 97 making it a total of 211, but then I lost 178 of them so eventually I am left with 33 of them now). I also have 51 yaks (one day, I will have more of them). My mother also has 32 ants. I also have 78 clementinefigs (they are great). I also have 49 zithers (here is why I have these many: initially I had 72 of them, then I lost 56 of them, but then I got another 60 of them, but then I lost 27 of them, so at the end I am left with 49 of them). My grandmother also has 4 cantaloupes. I also have 33 mangoes (feeling great about this). I also have 22 pinot noir grapes (they are great). My mother also has 82 chinchillas. I also have 9 reindeer (happt to have them). I also have 63 glockenspiels (it is a funny story how I have 63 of them: initially I had 68, then I also got another 76 making it a total of 144, then I got another 67 making it a total of 211, but then I lost 148 of them so eventually I am left with 63 of them now). I also have 62 violins (it is a funny story how I have 62 of them: initially I had 67, then I also got another 87 making it a total of 154, then I got another 27 making it a total of 181, but then I lost 119 of them so eventually I am left with 62 of them now). My grandfather also has 34 iguanas. My cousin also has 19 hedgehogs. My mother also has 65 spartan apples. My uncle also has 16 fuji apples. My father also has 36 muscat grapes. I also have 34 moose (it is a funny story how I have 34 of them: initially I had 23, then I also got another 75 making it a total of 98, then I got another 57 making it a total of 155, but then I lost 121 of them so eventually I am left with 34 of them now). I also have 5 hippopotamus (it is a funny story how I have 5 of them: initially I had 88, then I also got another 67 making it a total of 155, then I got another 44 making it a total of 199, but then I lost 194 of them so eventually I am left with 5 of them now). My mother also has 79 autumn royal grapes. My aunt also has 10 bongos. My grandmother also has 95 timpanis. I also have 55 mulberrys (here is why I have these many: initially I had 23 of them, then I lost 10 of them, but then I got another 52 of them, but then I lost 10 of them, so at the end I am left with 55 of them). My friend has 12 plums. My sister also has 29 black rat snakes. I also have 95 tars (one day, I will have more of them). I also have 39 kotoes (here is why I have these many: initially I had 47 of them, then I lost 44 of them, but then I got another 96 of them, but then I lost 60 of them, so at the end I am left with 39 of them). I also have 3 elderberryoranges (here is why I have these many: initially I had 34 of them, then I lost 16 of them, but then I got another 39 of them, but then I lost 54 of them, so at the end I am left with 3 of them). I also have 91 nadaswarams (happt to have them). My aunt also has 4 starfruits. My friend also has 33 organs. My grandmother also has 25 raspberrys. My mother also has 34 merlot grapes. My cousin also has 33 beavers. My cousin also has 52 ukuleles. My brother also has 96 cattles. My grandfather also has 16 magpies. My brother also has 32 blueberrys. I also have 49 breadfruits (it is a funny story how I have 49 of them: initially I had 62, then I also got another 84 making it a total of 146, then I got another 34 making it a total of 180, but then I lost 131 of them so eventually I am left with 49 of them now). I also have 39 skunks (it is a funny story how I have 39 of them: initially I had 95, then I also got another 32 making it a total of 127, then I got another 60 making it a total of 187, but then I lost 148 of them so eventually I am left with 39 of them now). My sister also has 60 anteaters. My aunt also has 92 impalas. My grandmother also has 11 cotton candy grapes. My grandfather also has 60 guinea pigs. I also have 52 syrah grapes (very happy to have them). My grandfather also has 42 walrus. I also have 69 nebbiolo grapes (here is why I have these many: initially I had 71 of them, then I lost 23 of them, but then I got another 88 of them, but then I lost 67 of them, so at the end I am left with 69 of them). I also have 91 bassoons (received them last month). My sister also has 31 crocodiles. My grandfather also has 33 dolphins. I also have 22 crows (I really like them). My friend also has 21 oboes. My friend also has 15 harps. My sister also has 69 kingsnakes. My father also has 30 orangutans. My brother also has 40 trumpets. My uncle also has 54 ginger gold apples. I also have 86 persimmons (received them last week). My mother also has 22 newts. My aunt also has 71 cellos. I also have 64 alpacas (here is why I have these many: initially I had 79 of them, then I lost 77 of them, but then I got another 69 of them, but then I lost 7 of them, so at the end I am left with 64 of them). I also have 83 soursops (here is why I have these many: initially I had 81 of them, then I lost 53 of them, but then I got another 64 of them, but then I lost 9 of them, so at the end I am left with 83 of them). I also have 77 pipas (I do not think I need this much). My aunt also has 12 electric violins. I also have 19 rababs (they are great). I also have 27 buffaloes (here is why I have these many: initially I had 45 of them, then I lost 35 of them, but then I got another 78 of them, but then I lost 61 of them, so at the end I am left with 27 of them). My grandfather also has 44 grapefruits. My aunt also has 74 deer. I also have 73 accordions (thrilled to have these). My friend also has 45 cod. I also have 30 bees (received them yesterday). My mother also has 51 vibraphone, steelpans. I also have 55 lutes (feeling great about this). My cousin also has 85 goats. My grandfather also has 77 rattlesnakes. My grandmother also has 18 plantains. My father also has 91 badgers. My friend also has 59 biwas. I also have 78 jazz apples (here is why I have these many: initially I had 25 of them, then I lost 20 of them, but then I got another 83 of them, but then I lost 10 of them, so at the end I am left with 78 of them). My friend also has 33 kiwis. My cousin also has 19 dates. My grandfather also has 33 clavichords. My aunt also has 39 garter snakes. My uncle also has 7 stingrays. My friend also has 53 djembes. My grandmother also has 24 flys. My mother also has 25 squirrels. I also have 44 ouds (I do not think I need this much). What is the absolute difference of the total number of fruits and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:121", "request": "I have 92 double bass (here is why I have these many: initially I had 18 of them, then I lost 10 of them, but then I got another 90 of them, but then I lost 6 of them, so at the end I am left with 92 of them). I also have 63 nadaswarams (here is why I have these many: initially I had 14 of them, then I lost 12 of them, but then I got another 62 of them, but then I lost 1 of them, so at the end I am left with 63 of them). My aunt has 27 congas. I also have 92 honda civic cars (I am in love with them). I also have 25 mazda3 cars (feeling good about this). My aunt also has 39 tars. I also have 95 mazda cx-80 cars (here is why I have these many: initially I had 43 of them, then I lost 24 of them, but then I got another 84 of them, but then I lost 8 of them, so at the end I am left with 95 of them). My cousin has 74 toyota 4runnertoyota sequoia cars. My sister has 9 muscat grapes. My brother has 65 sruti boxes. My brother also has 11 pomegranates. My aunt also has 61 blueberrys. I also have 9 tablas (I really like them). My aunt also has 8 honda prologuq cars. I also have 22 lutes (it is a funny story how I have 22 of them: initially I had 63, then I also got another 64 making it a total of 127, then I got another 39 making it a total of 166, but then I lost 144 of them so eventually I am left with 22 of them now). My cousin also has 7 nectarines. My mother has 22 toyota sienna cars. I also have 19 mazda mx-30 cars (feeling great about this). I also have 14 buick enclave cars (it is a funny story how I have 14 of them: initially I had 23, then I also got another 23 making it a total of 46, then I got another 18 making it a total of 64, but then I lost 50 of them so eventually I am left with 14 of them now). I also have 11 flutes (received them last month). I also have 3 trombones (I like these a lot). My mother also has 58 balafons. My sister also has 18 lychees. I also have 8 rebecs (one day, I will have more of them). I also have 79 castanets (I do not think I need this much). I also have 47 raspberrys (here is why I have these many: initially I had 51 of them, then I lost 38 of them, but then I got another 39 of them, but then I lost 5 of them, so at the end I am left with 47 of them). My sister also has 7 mazda cx-30 cars. I also have 94 toyota highlander cars (it is a funny story how I have 94 of them: initially I had 27, then I also got another 19 making it a total of 46, then I got another 50 making it a total of 96, but then I lost 2 of them so eventually I am left with 94 of them now). My mother also has 52 honda passport cars. My uncle has 10 autumn royal grapes. My father has 33 chardonnay grapes. My friend has 84 mazda cx-90 cars. I also have 50 bouzoukis (they were given to me as a gift). I also have 69 plantains (received them last month). My aunt also has 13 pineapples. My sister also has 10 fuji apples. My uncle also has 1 pink lady apple. My aunt also has 23 dates. My aunt also has 39 honda odyssey cars. My sister also has 99 hyundai santa fe cars. My father also has 87 toyota rav4 cars. My cousin also has 2 clavichords. My aunt also has 45 subaru ascent cars. My mother also has 19 subaru impreza cars. My uncle also has 54 mazda cx-5 cars. I also have 78 electric bass (feeling great about this). I also have 81 nissan leaf cars (received them yesterday). I also have 25 bananas (received them yesterday). My cousin also has 26 recorders. I also have 8 drums (it is a funny story how I have 8 of them: initially I had 87, then I also got another 36 making it a total of 123, then I got another 65 making it a total of 188, but then I lost 180 of them so eventually I am left with 8 of them now). My sister also has 31 watermelons. I also have 4 peaches (happt to have them). My cousin also has 65 kalimbas. My grandfather has 1 toyota avalon cars. I also have 99 organs (feeling good about this). My father also has 89 honda cr-z cars. I also have 17 strawberrys (it is a funny story how I have 17 of them: initially I had 74, then I also got another 33 making it a total of 107, then I got another 18 making it a total of 125, but then I lost 108 of them so eventually I am left with 17 of them now). My grandmother has 70 oboes. I also have 8 ocarinas (they are great). I also have 67 n'gonis (very happy to have them). My cousin also has 96 quinces. My uncle also has 95 hammered dulcimers. My aunt also has 19 nissan titan cars. My mother also has 81 clementinefigs. My aunt also has 58 toyota tundra cars. My grandfather also has 33 ginger gold apples. I also have 58 honeydews (it is a funny story how I have 58 of them: initially I had 71, then I also got another 86 making it a total of 157, then I got another 16 making it a total of 173, but then I lost 115 of them so eventually I am left with 58 of them now). I also have 87 electric drums (here is why I have these many: initially I had 22 of them, then I lost 20 of them, but then I got another 90 of them, but then I lost 5 of them, so at the end I am left with 87 of them). My grandfather also has 93 mangoes. I also have 74 koras (it is a funny story how I have 74 of them: initially I had 48, then I also got another 10 making it a total of 58, then I got another 83 making it a total of 141, but then I lost 67 of them so eventually I am left with 74 of them now). My uncle also has 37 cherrys. My father also has 87 persimmons. My grandmother also has 11 hyundai elantra cars. My uncle also has 35 nissan armada cars. My mother also has 36 audi a6 cars. My brother also has 56 honeycrisp apples. My grandfather also has 76 nebbiolo grapes. My aunt also has 15 jeep gladiator cars. My grandfather also has 95 ouds. My father also has 52 mazda cx-3 cars. My uncle also has 81 harps. I also have 72 ukuleles (received them last month). My sister also has 97 nissan pathfinder cars. My grandmother also has 23 kiwis. My friend also has 32 pinot noir grapes. My grandfather also has 30 jazz apples. I also have 55 synthesizer keyboards (here is why I have these many: initially I had 56 of them, then I lost 12 of them, but then I got another 18 of them, but then I lost 7 of them, so at the end I am left with 55 of them). My brother also has 97 merlot grapes. My friend also has 28 nissan kicks cars. I also have 35 tanpuras (here is why I have these many: initially I had 77 of them, then I lost 46 of them, but then I got another 48 of them, but then I lost 44 of them, so at the end I am left with 35 of them). What is the absolute difference of the total number of fruits and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:122", "request": "My friend has 66 toyota rav4 cars. I have 32 blueberrys (it is a funny story how I have 32 of them: initially I had 62, then I also got another 48 making it a total of 110, then I got another 70 making it a total of 180, but then I lost 148 of them so eventually I am left with 32 of them now). My cousin has 86 plums. I also have 91 balafons (received them last week). My father has 72 subaru impreza cars. My sister has 44 peaches. I also have 66 ginger gold apples (it is a funny story how I have 66 of them: initially I had 45, then I also got another 87 making it a total of 132, then I got another 42 making it a total of 174, but then I lost 108 of them so eventually I am left with 66 of them now). My mother has 41 riesling grapes. I also have 46 pink lady apples (maybe I just need some of them). My aunt has 46 pomegranates. My aunt also has 56 mazda cx-90 cars. I also have 29 glockenspiels (very happy to have them). I also have 28 cherrys (they are great). I also have 83 grapefruits (it is a funny story how I have 83 of them: initially I had 94, then I also got another 39 making it a total of 133, then I got another 21 making it a total of 154, but then I lost 71 of them so eventually I am left with 83 of them now). I also have 96 nissan titan cars (I really like them). I also have 94 mbiras (here is why I have these many: initially I had 76 of them, then I lost 39 of them, but then I got another 93 of them, but then I lost 36 of them, so at the end I am left with 94 of them). My cousin also has 3 subaru ascent cars. My mother also has 40 mazda mx-30 cars. My brother has 36 kia niro cars. My aunt also has 4 ambrosia apples. I also have 91 honda element cars (feeling great about this). My cousin also has 20 theremins. I also have 95 ouds (it is a funny story how I have 95 of them: initially I had 26, then I also got another 48 making it a total of 74, then I got another 32 making it a total of 106, but then I lost 11 of them so eventually I am left with 95 of them now). My cousin also has 75 koras. My brother also has 12 dodge challenger cars. I also have 77 clavichords (it is a funny story how I have 77 of them: initially I had 87, then I also got another 26 making it a total of 113, then I got another 21 making it a total of 134, but then I lost 57 of them so eventually I am left with 77 of them now). I also have 61 toyota camry cars (it is a funny story how I have 61 of them: initially I had 53, then I also got another 61 making it a total of 114, then I got another 83 making it a total of 197, but then I lost 136 of them so eventually I am left with 61 of them now). I also have 83 jonagold apples (one day, I will have more of them). My uncle has 14 fuji apples. My cousin also has 80 synthesizer keyboards. I also have 54 toyota c-hr cars (I am in love with them). I also have 45 pears (here is why I have these many: initially I had 92 of them, then I lost 89 of them, but then I got another 86 of them, but then I lost 44 of them, so at the end I am left with 45 of them). My sister also has 9 nissan maxima cars. My grandmother has 9 mazda cx-50 cars. I also have 12 durians (feeling great about this). My cousin also has 28 apricots. I also have 13 pipas (happt to have them). I also have 76 drums (hope to have more in the future). My mother also has 24 volkswagen golf cars. I also have 17 shehnais (received them last month). I also have 66 nissan ariya cars (maybe I just need some of them). I also have 97 nissan altima cars (they are great). My grandfather has 65 nissan frintier cars. My aunt also has 47 congas. I also have 43 rababs (it is a funny story how I have 43 of them: initially I had 86, then I also got another 80 making it a total of 166, then I got another 63 making it a total of 229, but then I lost 186 of them so eventually I am left with 43 of them now). My cousin also has 19 violins. I also have 16 kazoos (it is a funny story how I have 16 of them: initially I had 44, then I also got another 80 making it a total of 124, then I got another 76 making it a total of 200, but then I lost 184 of them so eventually I am left with 16 of them now). I also have 51 harpsichords (they were given to me as a gift). My mother also has 40 hyundai elantra cars. My father also has 29 castanets. I also have 96 honda hr-v cars (it is a funny story how I have 96 of them: initially I had 72, then I also got another 92 making it a total of 164, then I got another 59 making it a total of 223, but then I lost 127 of them so eventually I am left with 96 of them now). My cousin also has 63 nectarines. My friend also has 98 mulberrys. My sister also has 57 cotton candy grapes. My cousin also has 30 tanpuras. I also have 78 nebbiolo grapes (very happy to have them). My grandfather also has 98 watermelons. My uncle also has 88 biwas. My mother also has 37 kalimbas. My uncle also has 10 nissan pathfinder cars. My grandfather also has 6 toyota tundra cars. My cousin also has 36 spartan apples. My father also has 46 accordions. My father also has 2 hyundai santa fe cars. My father also has 18 audi a6 cars. My cousin also has 13 jeep gladiator cars. My father also has 65 clarinets. My sister also has 69 electric violins. My grandfather also has 78 dates. My grandmother also has 30 tars. I also have 91 pianos (here is why I have these many: initially I had 73 of them, then I lost 44 of them, but then I got another 81 of them, but then I lost 19 of them, so at the end I am left with 91 of them). My father also has 99 plantains. My brother also has 94 subaru outback cars. I also have 97 sruti boxes (here is why I have these many: initially I had 73 of them, then I lost 50 of them, but then I got another 82 of them, but then I lost 8 of them, so at the end I am left with 97 of them). I also have 10 toyota sienna cars (here is why I have these many: initially I had 92 of them, then I lost 46 of them, but then I got another 88 of them, but then I lost 124 of them, so at the end I am left with 10 of them). My brother also has 56 ford edge cars. My brother also has 11 sazzes. I also have 26 raspberrys (here is why I have these many: initially I had 52 of them, then I lost 12 of them, but then I got another 22 of them, but then I lost 36 of them, so at the end I am left with 26 of them). My grandmother also has 85 pinot noir grapes. My father also has 28 starfruits. I also have 87 jackfruits (it is a funny story how I have 87 of them: initially I had 78, then I also got another 39 making it a total of 117, then I got another 85 making it a total of 202, but then I lost 115 of them so eventually I am left with 87 of them now). I also have 82 persimmons (feeling great about this). My uncle also has 69 saxophones. My sister also has 27 toyota prius cars. My sister also has 13 guavas. My mother also has 2 trombones. My grandmother also has 43 envy apples. My cousin also has 10 mazda cx-5 cars. My cousin also has 13 oboes. My friend also has 11 marimbas. I also have 21 papayas (here is why I have these many: initially I had 39 of them, then I lost 26 of them, but then I got another 49 of them, but then I lost 41 of them, so at the end I am left with 21 of them). My cousin also has 37 recorders. My aunt also has 91 honda cr-v cars. My friend also has 64 panpipes. I also have 95 djembes (received them last month). I also have 62 double bass (here is why I have these many: initially I had 50 of them, then I lost 26 of them, but then I got another 40 of them, but then I lost 2 of them, so at the end I am left with 62 of them). My grandmother also has 54 mridangams. I also have 60 nissan armada cars (received them last month). I also have 94 tamburas (thrilled to have these). I also have 52 kotoes (here is why I have these many: initially I had 27 of them, then I lost 19 of them, but then I got another 47 of them, but then I lost 3 of them, so at the end I am left with 52 of them). I also have 68 nissan leaf cars (it is a funny story how I have 68 of them: initially I had 30, then I also got another 58 making it a total of 88, then I got another 40 making it a total of 128, but then I lost 60 of them so eventually I am left with 68 of them now). My mother also has 81 buick enclave cars. I also have 95 quinces (I like these a lot). I also have 1 jazz apple (I like these a lot). I also have 44 maracas (it is a funny story how I have 44 of them: initially I had 58, then I also got another 28 making it a total of 86, then I got another 74 making it a total of 160, but then I lost 116 of them so eventually I am left with 44 of them now). My uncle also has 49 ocarinas. I also have 94 shamisens (it is a funny story how I have 94 of them: initially I had 74, then I also got another 100 making it a total of 174, then I got another 79 making it a total of 253, but then I lost 159 of them so eventually I am left with 94 of them now). I also have 94 honda pilot cars (it is a funny story how I have 94 of them: initially I had 76, then I also got another 92 making it a total of 168, then I got another 65 making it a total of 233, but then I lost 139 of them so eventually I am left with 94 of them now). I also have 50 nissan murano cars (here is why I have these many: initially I had 100 of them, then I lost 53 of them, but then I got another 99 of them, but then I lost 96 of them, so at the end I am left with 50 of them). I also have 30 autoharps (it is a funny story how I have 30 of them: initially I had 46, then I also got another 80 making it a total of 126, then I got another 64 making it a total of 190, but then I lost 160 of them so eventually I am left with 30 of them now). My uncle also has 8 honda passport cars. My aunt also has 48 soursops. My friend also has 16 bass guitars. My cousin also has 40 grenache grapes. My cousin also has 88 toyota highlander cars. My father also has 25 bouzoukis. I also have 26 didgeridoos (I like these a lot). My cousin also has 70 pineapples. I also have 12 merlot grapes (here is why I have these many: initially I had 25 of them, then I lost 24 of them, but then I got another 89 of them, but then I lost 78 of them, so at the end I am left with 12 of them). I also have 41 mazda6 cars (it is a funny story how I have 41 of them: initially I had 55, then I also got another 86 making it a total of 141, then I got another 67 making it a total of 208, but then I lost 167 of them so eventually I am left with 41 of them now). My mother also has 45 cantaloupes. My aunt also has 84 sitars. My aunt also has 25 flutes. My mother also has 51 electric drums. What is the sum of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:127", "request": "My grandfather has 7 mazda mx-30 cars. My aunt has 10 honda cr-z cars. My aunt also has 68 honda pilot cars. I have 29 subaru outback cars (they are great). My father has 91 samsung galaxy a16 mobiles. My aunt also has 15 toyota 4runnertoyota sequoia cars. I also have 69 iphone 16 mobiles (it is a funny story how I have 69 of them: initially I had 18, then I also got another 81 making it a total of 99, then I got another 83 making it a total of 182, but then I lost 113 of them so eventually I am left with 69 of them now). My brother has 4 iphone 8 mobiles. My cousin has 80 buick enclave cars. I also have 84 pandas (here is why I have these many: initially I had 82 of them, then I lost 41 of them, but then I got another 95 of them, but then I lost 52 of them, so at the end I am left with 84 of them). I also have 74 cattles (I really like them). My mother has 78 peacocks. My cousin also has 59 samsung galaxy tab s10 mobiles. I also have 18 huawei nova 12 pro mobiles (here is why I have these many: initially I had 71 of them, then I lost 66 of them, but then I got another 72 of them, but then I lost 59 of them, so at the end I am left with 18 of them). I also have 10 subaru ascent cars (it is a funny story how I have 10 of them: initially I had 66, then I also got another 52 making it a total of 118, then I got another 24 making it a total of 142, but then I lost 132 of them so eventually I am left with 10 of them now). I also have 35 nissan altima cars (here is why I have these many: initially I had 39 of them, then I lost 31 of them, but then I got another 90 of them, but then I lost 63 of them, so at the end I am left with 35 of them). My cousin also has 43 iphone 11 mobiles. My aunt also has 98 oneplus mobiles. My grandmother has 42 lemurs. I also have 50 kia niro cars (received them last month). I also have 60 hyundai santa fe cars (it is a funny story how I have 60 of them: initially I had 23, then I also got another 69 making it a total of 92, then I got another 38 making it a total of 130, but then I lost 70 of them so eventually I am left with 60 of them now). My grandmother also has 68 htc mobiles. I also have 61 deer (feeling good about this). My sister has 10 nissan pathfinder cars. My father also has 92 iphone x mobiles. My cousin also has 75 mosquitoes. My friend has 60 apes. My father also has 37 swans. I also have 19 buffaloes (it is a funny story how I have 19 of them: initially I had 57, then I also got another 57 making it a total of 114, then I got another 97 making it a total of 211, but then I lost 192 of them so eventually I am left with 19 of them now). My mother also has 64 flamingoes. My grandmother also has 32 meizu mobiles. My mother also has 33 toyota camry cars. My sister also has 62 huawei pura 70 mobiles. My grandmother also has 73 mazda cx-70 cars. I also have 19 king cobra snakes (here is why I have these many: initially I had 30 of them, then I lost 22 of them, but then I got another 97 of them, but then I lost 86 of them, so at the end I am left with 19 of them). My father also has 91 honda civic cars. My friend also has 43 jellyfish. My aunt also has 94 nissan leaf cars. I also have 15 raccoons (happt to have them). I also have 73 huawei pura 70 pro mobiles (here is why I have these many: initially I had 45 of them, then I lost 34 of them, but then I got another 88 of them, but then I lost 26 of them, so at the end I am left with 73 of them). My grandmother also has 90 samsung galaxy z fold5 mobiles. My sister also has 24 iphone 15 mobiles. My grandmother also has 92 samsung galaxy c55 mobiles. My cousin also has 86 reindeer. I also have 69 rattlesnakes (one day, I will have more of them). My father also has 21 ravens. I also have 34 honda element cars (it is a funny story how I have 34 of them: initially I had 84, then I also got another 83 making it a total of 167, then I got another 83 making it a total of 250, but then I lost 216 of them so eventually I am left with 34 of them now). My brother also has 5 honda accord cars. My father also has 9 audi a6 cars. I also have 29 guinea pigs (thrilled to have these). I also have 32 dodge challenger cars (feeling good about this). My grandmother also has 75 iphone 12 mobiles. I also have 54 turtles (very happy to have them). My brother also has 21 wasps. I also have 25 nissan sentra cars (here is why I have these many: initially I had 76 of them, then I lost 57 of them, but then I got another 42 of them, but then I lost 36 of them, so at the end I am left with 25 of them). My cousin also has 90 toyota highlander cars. I also have 3 zte mobiles (here is why I have these many: initially I had 78 of them, then I lost 48 of them, but then I got another 51 of them, but then I lost 78 of them, so at the end I am left with 3 of them). I also have 64 anteaters (here is why I have these many: initially I had 34 of them, then I lost 30 of them, but then I got another 71 of them, but then I lost 11 of them, so at the end I am left with 64 of them). My cousin also has 83 aardvarks. My grandfather also has 49 snails. My uncle has 6 leopards. I also have 5 huawei pura 70 ultra mobiles (here is why I have these many: initially I had 43 of them, then I lost 23 of them, but then I got another 37 of them, but then I lost 52 of them, so at the end I am left with 5 of them). My mother also has 26 huawei nova 13 mobiles. I also have 24 nissan frintier cars (here is why I have these many: initially I had 18 of them, then I lost 14 of them, but then I got another 97 of them, but then I lost 77 of them, so at the end I am left with 24 of them). My cousin also has 83 owls. My uncle also has 46 lions. My brother also has 29 bears. My aunt also has 23 huawei nova 12s mobiles. My friend also has 62 toyota sienna cars. My father also has 45 nissan rogue cars. I also have 31 iphone 14 mobiles (it is a funny story how I have 31 of them: initially I had 65, then I also got another 57 making it a total of 122, then I got another 65 making it a total of 187, but then I lost 156 of them so eventually I am left with 31 of them now). I also have 89 infinix mobiles (here is why I have these many: initially I had 63 of them, then I lost 61 of them, but then I got another 91 of them, but then I lost 4 of them, so at the end I am left with 89 of them). My grandfather also has 96 yaks. I also have 9 gorillas (here is why I have these many: initially I had 23 of them, then I lost 20 of them, but then I got another 21 of them, but then I lost 15 of them, so at the end I am left with 9 of them). My cousin also has 88 google (pixel) mobiles. I also have 70 huawei mate 70 mobiles (received them last month). My grandmother also has 17 samsung galaxy m55s mobiles. I also have 39 iphone 5 mobiles (feeling good about this). My grandfather also has 81 impalas. My grandmother also has 88 honda insight cars. My mother also has 48 tecno mobiles. I also have 43 flys (feeling great about this). I also have 70 komodo dragons (it is a funny story how I have 70 of them: initially I had 80, then I also got another 58 making it a total of 138, then I got another 76 making it a total of 214, but then I lost 144 of them so eventually I am left with 70 of them now). My aunt also has 19 goats. My uncle also has 78 toyota c-hr cars. I also have 79 realme mobiles (here is why I have these many: initially I had 78 of them, then I lost 71 of them, but then I got another 87 of them, but then I lost 15 of them, so at the end I am left with 79 of them). My friend also has 12 samsung galaxy z fold6 mobiles. I also have 45 sheep (one day, I will have more of them). My uncle also has 57 iphone 4 mobiles. My father also has 62 chinchillas. My cousin also has 69 toyota rav4 cars. My brother also has 56 falcons. My uncle also has 17 volkswagen golf cars. My sister also has 64 hummingbirds. I also have 51 subaru impreza cars (received them last week). My mother also has 6 iphone 13 mobiles. My father also has 55 huawei mate x6 mobiles. I also have 80 pigs (here is why I have these many: initially I had 42 of them, then I lost 12 of them, but then I got another 99 of them, but then I lost 49 of them, so at the end I am left with 80 of them). My aunt also has 12 possums. My sister also has 49 kangaroos. My father also has 11 honda cr-v cars. I also have 36 oppo mobiles (it is a funny story how I have 36 of them: initially I had 39, then I also got another 77 making it a total of 116, then I got another 11 making it a total of 127, but then I lost 91 of them so eventually I am left with 36 of them now). I also have 95 samsung galaxy f05 mobiles (maybe I just need some of them). My grandfather also has 73 mazda6 cars. I also have 67 mazda2 cars (it is a funny story how I have 67 of them: initially I had 86, then I also got another 51 making it a total of 137, then I got another 92 making it a total of 229, but then I lost 162 of them so eventually I am left with 67 of them now). My aunt also has 50 toyota prius cars. My father also has 56 bats. My friend also has 45 salamanders. I also have 52 trout (it is a funny story how I have 52 of them: initially I had 59, then I also got another 36 making it a total of 95, then I got another 66 making it a total of 161, but then I lost 109 of them so eventually I am left with 52 of them now). My sister also has 58 giraffes. My uncle also has 40 armadillos. My brother also has 2 nissan titan cars. I also have 24 geese (here is why I have these many: initially I had 30 of them, then I lost 26 of them, but then I got another 32 of them, but then I lost 12 of them, so at the end I am left with 24 of them). I also have 51 samsung galaxy a35 mobiles (here is why I have these many: initially I had 41 of them, then I lost 39 of them, but then I got another 61 of them, but then I lost 12 of them, so at the end I am left with 51 of them). I also have 80 nissan maxima cars (here is why I have these many: initially I had 39 of them, then I lost 30 of them, but then I got another 72 of them, but then I lost 1 of them, so at the end I am left with 80 of them). I also have 46 nissan kicks cars (it is a funny story how I have 46 of them: initially I had 99, then I also got another 69 making it a total of 168, then I got another 10 making it a total of 178, but then I lost 132 of them so eventually I am left with 46 of them now). My brother also has 46 sony mobiles. I also have 17 echidnas (here is why I have these many: initially I had 87 of them, then I lost 13 of them, but then I got another 26 of them, but then I lost 83 of them, so at the end I am left with 17 of them). My grandfather also has 17 honda prologuq cars. What is the absolute difference of the total number of mobiles and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:130", "request": "My mother has 99 zebras. My mother also has 99 subaru ascent cars. I have 59 bongos (it is a funny story how I have 59 of them: initially I had 70, then I also got another 73 making it a total of 143, then I got another 82 making it a total of 225, but then I lost 166 of them so eventually I am left with 59 of them now). My cousin has 43 tablas. My aunt has 61 ravens. My mother also has 66 kazoos. My brother has 96 toyota highlander cars. My grandfather has 57 honda prologuq cars. I also have 44 groundhogs (I really like them). I also have 78 french horns (it is a funny story how I have 78 of them: initially I had 33, then I also got another 98 making it a total of 131, then I got another 66 making it a total of 197, but then I lost 119 of them so eventually I am left with 78 of them now). My brother also has 77 double bass. My brother also has 19 storks. My grandmother has 16 trumpets. My friend has 14 mazda cx-80 cars. My mother also has 28 penguins. My brother also has 70 nissan murano cars. My mother also has 84 toyota tacoma cars. I also have 5 magpies (one day, I will have more of them). My friend also has 55 roosters. I also have 28 mazda cx-5 cars (it is a funny story how I have 28 of them: initially I had 92, then I also got another 34 making it a total of 126, then I got another 26 making it a total of 152, but then I lost 124 of them so eventually I am left with 28 of them now). I also have 99 toyota tundra cars (here is why I have these many: initially I had 80 of them, then I lost 39 of them, but then I got another 99 of them, but then I lost 41 of them, so at the end I am left with 99 of them). My grandfather also has 75 bears. My friend also has 67 castanets. My cousin also has 91 goats. My mother also has 30 dodge challenger cars. My aunt also has 5 pigs. I also have 40 mbiras (here is why I have these many: initially I had 32 of them, then I lost 14 of them, but then I got another 67 of them, but then I lost 45 of them, so at the end I am left with 40 of them). My aunt also has 88 harmonicas. My grandmother also has 2 toyota 4runnertoyota sequoia cars. I also have 93 harpsichords (here is why I have these many: initially I had 28 of them, then I lost 11 of them, but then I got another 94 of them, but then I lost 18 of them, so at the end I am left with 93 of them). My cousin also has 14 tigers. My cousin also has 46 llamas. My friend also has 4 skunks. I also have 36 cattles (thrilled to have these). My grandfather also has 57 mazda6 cars. My brother also has 79 honda passport cars. I also have 47 mandolins (happt to have them). My brother also has 46 pennywhistles. My cousin also has 83 toyota rav4 cars. I also have 21 volkswagen golf cars (hope to have more in the future). I also have 85 hippopotamus (feeling good about this). I also have 76 congas (here is why I have these many: initially I had 33 of them, then I lost 30 of them, but then I got another 80 of them, but then I lost 7 of them, so at the end I am left with 76 of them). My grandmother also has 98 bass guitars. I also have 64 hyundai elantra cars (I like these a lot). My sister has 28 toyota avalon cars. I also have 42 turtles (here is why I have these many: initially I had 74 of them, then I lost 45 of them, but then I got another 63 of them, but then I lost 50 of them, so at the end I am left with 42 of them). My uncle has 15 subaru outback cars. I also have 81 koras (I like these a lot). I also have 9 nadaswarams (here is why I have these many: initially I had 40 of them, then I lost 17 of them, but then I got another 70 of them, but then I lost 84 of them, so at the end I am left with 9 of them). My sister also has 60 toads. I also have 83 saxophones (it is a funny story how I have 83 of them: initially I had 47, then I also got another 23 making it a total of 70, then I got another 90 making it a total of 160, but then I lost 77 of them so eventually I am left with 83 of them now). I also have 40 cod (I am in love with them). My sister also has 61 marimbas. I also have 80 mazda2 cars (here is why I have these many: initially I had 93 of them, then I lost 53 of them, but then I got another 70 of them, but then I lost 30 of them, so at the end I am left with 80 of them). My brother also has 41 wasps. My uncle also has 21 toyota c-hr cars. My father has 96 mamba snakes. My cousin also has 24 mazda cx-30 cars. I also have 97 nissan rogue cars (it is a funny story how I have 97 of them: initially I had 53, then I also got another 25 making it a total of 78, then I got another 77 making it a total of 155, but then I lost 58 of them so eventually I am left with 97 of them now). I also have 58 mosquitoes (here is why I have these many: initially I had 82 of them, then I lost 18 of them, but then I got another 32 of them, but then I lost 38 of them, so at the end I am left with 58 of them). I also have 59 python snakes (planning to have more in the future). My grandmother also has 58 mazda cx-90 cars. I also have 30 ducks (it is a funny story how I have 30 of them: initially I had 72, then I also got another 60 making it a total of 132, then I got another 36 making it a total of 168, but then I lost 138 of them so eventually I am left with 30 of them now). My sister also has 69 shamisens. I also have 94 bassoons (maybe I just need some of them). I also have 1 kia niro cars (received them yesterday). I also have 78 organs (planning to have more in the future). I also have 94 electric violins (here is why I have these many: initially I had 41 of them, then I lost 24 of them, but then I got another 83 of them, but then I lost 6 of them, so at the end I am left with 94 of them). My sister also has 52 giraffes. My uncle also has 71 pianos. I also have 68 mazda mx-30 cars (hope to have more in the future). I also have 76 timpanis (received them last month). I also have 59 mazda3 cars (here is why I have these many: initially I had 56 of them, then I lost 26 of them, but then I got another 52 of them, but then I lost 23 of them, so at the end I am left with 59 of them). My mother also has 97 nissan ariya cars. I also have 94 honda cr-z cars (it is a funny story how I have 94 of them: initially I had 31, then I also got another 10 making it a total of 41, then I got another 78 making it a total of 119, but then I lost 25 of them so eventually I am left with 94 of them now). I also have 72 nissan maxima cars (very happy to have them). My father also has 20 cellos. My grandmother also has 98 boars. I also have 97 king cobra snakes (it is a funny story how I have 97 of them: initially I had 84, then I also got another 97 making it a total of 181, then I got another 10 making it a total of 191, but then I lost 94 of them so eventually I am left with 97 of them now). My cousin also has 61 mazda cx-50 cars. My father also has 69 cranes. I also have 79 autoharps (I do not think I need this much). My brother also has 65 opossums. My aunt also has 37 mazda cx-70 cars. I also have 89 geese (thrilled to have these). My brother also has 24 toyota camry cars. I also have 45 guzhengs (happt to have them). I also have 13 hawks (here is why I have these many: initially I had 86 of them, then I lost 56 of them, but then I got another 31 of them, but then I lost 48 of them, so at the end I am left with 13 of them). I also have 28 sloths (it is a funny story how I have 28 of them: initially I had 55, then I also got another 28 making it a total of 83, then I got another 17 making it a total of 100, but then I lost 72 of them so eventually I am left with 28 of them now). My friend also has 60 echidnas. My aunt also has 6 rababs. My cousin also has 90 moose. My aunt also has 63 ocarinas. My sister also has 65 honda insight cars. My uncle also has 81 wolves. My grandfather also has 28 boa snakes. My uncle also has 82 nissan leaf cars. My grandmother also has 9 deer. I also have 3 cobras (here is why I have these many: initially I had 84 of them, then I lost 48 of them, but then I got another 58 of them, but then I lost 91 of them, so at the end I am left with 3 of them). My mother also has 87 buick enclave cars. I also have 82 impalas (it is a funny story how I have 82 of them: initially I had 67, then I also got another 87 making it a total of 154, then I got another 98 making it a total of 252, but then I lost 170 of them so eventually I am left with 82 of them now). My brother also has 76 shrimps. I also have 87 clarinets (I do not think I need this much). My grandmother also has 2 drums. I also have 40 toyota corolla cars (very happy to have them). I also have 5 iguanas (it is a funny story how I have 5 of them: initially I had 14, then I also got another 36 making it a total of 50, then I got another 84 making it a total of 134, but then I lost 129 of them so eventually I am left with 5 of them now). My cousin also has 67 djembes. My father also has 2 stingrays. My mother also has 99 quails. I also have 68 bats (here is why I have these many: initially I had 58 of them, then I lost 30 of them, but then I got another 54 of them, but then I lost 14 of them, so at the end I am left with 68 of them). I also have 86 bansuris (here is why I have these many: initially I had 69 of them, then I lost 13 of them, but then I got another 43 of them, but then I lost 13 of them, so at the end I am left with 86 of them). My friend also has 3 zithers. I also have 52 nissan altima cars (happt to have them). My sister also has 49 tesla model s cars. I also have 55 flamingoes (they were given to me as a gift). I also have 35 n'gonis (it is a funny story how I have 35 of them: initially I had 16, then I also got another 61 making it a total of 77, then I got another 38 making it a total of 115, but then I lost 80 of them so eventually I am left with 35 of them now). My brother also has 9 electric cellos. My brother also has 10 electric guitars. My aunt also has 95 glockenspiels. I also have 19 ants (here is why I have these many: initially I had 75 of them, then I lost 49 of them, but then I got another 40 of them, but then I lost 47 of them, so at the end I am left with 19 of them). My grandfather also has 34 turkeys. My mother also has 36 chickens. My father also has 76 setars. I also have 46 honda odyssey cars (received them yesterday). I also have 38 vultures (hope to have more in the future). My sister also has 58 theremins. I also have 99 mazda cx-3 cars (received them last week). My grandfather also has 31 tambourines. I also have 87 nissan pathfinder cars (here is why I have these many: initially I had 48 of them, then I lost 36 of them, but then I got another 83 of them, but then I lost 8 of them, so at the end I am left with 87 of them). My mother also has 62 mice. My grandfather also has 83 nissan armada cars. I also have 8 cheetahs (happt to have them). What is the sum of the total number of animals/insects and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:132", "request": "I have 48 snails (one day, I will have more of them). My sister has 59 rats. My mother has 60 htc mobiles. I also have 12 samsung galaxy m55s mobiles (here is why I have these many: initially I had 43 of them, then I lost 15 of them, but then I got another 62 of them, but then I lost 78 of them, so at the end I am left with 12 of them). My mother also has 69 huawei mate 70 mobiles. My mother also has 39 autumn royal grapes. I also have 60 mulberrys (planning to have more in the future). My father has 92 vivo mobiles. My grandfather has 22 plums. My father also has 91 chameleons. My cousin has 27 samsung galaxy tab s10 mobiles. I also have 41 cotton candy grapes (I do not think I need this much). My cousin also has 59 iphone 16 mobiles. My friend has 78 oppo mobiles. I also have 14 tortoises (one day, I will have more of them). My aunt has 78 mangoes. My father also has 80 dragonfruits. My grandmother has 43 pink lady apples. I also have 28 trout (it is a funny story how I have 28 of them: initially I had 69, then I also got another 64 making it a total of 133, then I got another 16 making it a total of 149, but then I lost 121 of them so eventually I am left with 28 of them now). My grandfather also has 45 boa snakes. I also have 52 samsung galaxy s24 mobiles (received them last month). I also have 85 iphone 12 mobiles (feeling good about this). I also have 57 cattles (it is a funny story how I have 57 of them: initially I had 46, then I also got another 17 making it a total of 63, then I got another 32 making it a total of 95, but then I lost 38 of them so eventually I am left with 57 of them now). My mother also has 34 gala apples. I also have 62 samsung galaxy z fold6 mobiles (received them last week). I also have 60 grapefruits (here is why I have these many: initially I had 90 of them, then I lost 12 of them, but then I got another 81 of them, but then I lost 99 of them, so at the end I am left with 60 of them). I also have 17 clementinefigs (it is a funny story how I have 17 of them: initially I had 16, then I also got another 45 making it a total of 61, then I got another 13 making it a total of 74, but then I lost 57 of them so eventually I am left with 17 of them now). My brother has 54 huawei nova 11 se mobiles. My cousin also has 45 hamsters. I also have 50 huawei nova 13 mobiles (received them yesterday). I also have 98 lions (it is a funny story how I have 98 of them: initially I had 85, then I also got another 77 making it a total of 162, then I got another 29 making it a total of 191, but then I lost 93 of them so eventually I am left with 98 of them now). I also have 70 elderberryoranges (thrilled to have these). My uncle has 16 aardvarks. I also have 77 cranberrys (received them last week). I also have 30 spartan apples (it is a funny story how I have 30 of them: initially I had 13, then I also got another 11 making it a total of 24, then I got another 78 making it a total of 102, but then I lost 72 of them so eventually I am left with 30 of them now). I also have 31 ladybugs (one day, I will have more of them). My friend also has 57 oneplus mobiles. I also have 83 grenache grapes (it is a funny story how I have 83 of them: initially I had 66, then I also got another 38 making it a total of 104, then I got another 61 making it a total of 165, but then I lost 82 of them so eventually I am left with 83 of them now). My brother also has 28 walrus. I also have 36 butterflys (I am in love with them). I also have 28 ravens (here is why I have these many: initially I had 34 of them, then I lost 15 of them, but then I got another 47 of them, but then I lost 38 of them, so at the end I am left with 28 of them). I also have 11 watermelons (one day, I will have more of them). My grandmother also has 75 persimmons. My grandfather also has 42 bees. I also have 23 durians (it is a funny story how I have 23 of them: initially I had 66, then I also got another 75 making it a total of 141, then I got another 34 making it a total of 175, but then I lost 152 of them so eventually I am left with 23 of them now). My grandmother also has 29 envy apples. My father also has 67 komodo dragons. My cousin also has 93 swans. My cousin also has 60 eagles. I also have 39 orangutans (happt to have them). My aunt also has 88 nectarines. I also have 66 blackberry mobiles (it is a funny story how I have 66 of them: initially I had 22, then I also got another 66 making it a total of 88, then I got another 32 making it a total of 120, but then I lost 54 of them so eventually I am left with 66 of them now). My friend also has 43 sheep. My grandmother also has 47 guavas. I also have 15 blueberrys (feeling good about this). My friend also has 84 alligators. I also have 63 alpacas (it is a funny story how I have 63 of them: initially I had 55, then I also got another 47 making it a total of 102, then I got another 77 making it a total of 179, but then I lost 116 of them so eventually I am left with 63 of them now). I also have 73 jackfruits (it is a funny story how I have 73 of them: initially I had 91, then I also got another 22 making it a total of 113, then I got another 50 making it a total of 163, but then I lost 90 of them so eventually I am left with 73 of them now). I also have 60 raspberrys (I really like them). My cousin also has 3 honor mobiles. I also have 36 bananas (here is why I have these many: initially I had 96 of them, then I lost 41 of them, but then I got another 53 of them, but then I lost 72 of them, so at the end I am left with 36 of them). I also have 62 riesling grapes (here is why I have these many: initially I had 13 of them, then I lost 12 of them, but then I got another 99 of them, but then I lost 38 of them, so at the end I am left with 62 of them). I also have 53 garter snakes (here is why I have these many: initially I had 87 of them, then I lost 74 of them, but then I got another 56 of them, but then I lost 16 of them, so at the end I am left with 53 of them). My aunt also has 94 hens. I also have 44 cantaloupes (I do not think I need this much). My grandfather also has 17 canarys. My father also has 15 pears. My grandmother also has 7 samsung galaxy c55 mobiles. My friend also has 42 nebbiolo grapes. I also have 60 cod (it is a funny story how I have 60 of them: initially I had 61, then I also got another 38 making it a total of 99, then I got another 40 making it a total of 139, but then I lost 79 of them so eventually I am left with 60 of them now). My grandmother also has 30 crabs. My brother also has 15 starfruits. I also have 52 hawks (here is why I have these many: initially I had 41 of them, then I lost 11 of them, but then I got another 37 of them, but then I lost 15 of them, so at the end I am left with 52 of them). I also have 64 ginger gold apples (received them last week). My friend also has 15 merlot grapes. I also have 3 horses (here is why I have these many: initially I had 17 of them, then I lost 12 of them, but then I got another 44 of them, but then I lost 46 of them, so at the end I am left with 3 of them). My sister also has 27 honeydews. My brother also has 31 huawei pura 70 pro+ mobiles. I also have 13 rattlesnakes (here is why I have these many: initially I had 20 of them, then I lost 19 of them, but then I got another 98 of them, but then I lost 86 of them, so at the end I am left with 13 of them). I also have 78 fish (I am in love with them). I also have 21 motorola mobiles (received them last week). My sister also has 37 tecno mobiles. My brother also has 35 jonagold apples. My grandmother also has 22 kangaroos. My grandmother also has 95 elephants. I also have 64 monkeys (received them last month). I also have 66 samsung galaxy a35 mobiles (it is a funny story how I have 66 of them: initially I had 96, then I also got another 81 making it a total of 177, then I got another 23 making it a total of 200, but then I lost 134 of them so eventually I am left with 66 of them now). My aunt also has 37 realme mobiles. I also have 91 quinces (here is why I have these many: initially I had 56 of them, then I lost 40 of them, but then I got another 98 of them, but then I lost 23 of them, so at the end I am left with 91 of them). My friend also has 70 huawei mate x6 mobiles. I also have 78 donkeys (here is why I have these many: initially I had 100 of them, then I lost 65 of them, but then I got another 65 of them, but then I lost 22 of them, so at the end I am left with 78 of them). My father also has 27 samsung galaxy a55 mobiles. My grandfather also has 72 anteaters. I also have 47 meizu mobiles (it is a funny story how I have 47 of them: initially I had 87, then I also got another 57 making it a total of 144, then I got another 99 making it a total of 243, but then I lost 196 of them so eventually I am left with 47 of them now). My uncle also has 19 iphone 5 mobiles. My father also has 7 bisons. I also have 56 parrots (I am in love with them). My uncle also has 22 iphone x mobiles. I also have 7 ponys (received them last month). I also have 66 huawei pura 70 pro mobiles (it is a funny story how I have 66 of them: initially I had 67, then I also got another 62 making it a total of 129, then I got another 28 making it a total of 157, but then I lost 91 of them so eventually I am left with 66 of them now). I also have 30 corgis (they were given to me as a gift). My grandfather also has 42 fuji apples. I also have 53 zte mobiles (one day, I will have more of them). I also have 8 llamas (here is why I have these many: initially I had 48 of them, then I lost 44 of them, but then I got another 63 of them, but then I lost 59 of them, so at the end I am left with 8 of them). My grandfather also has 4 iphone 13 mobiles. I also have 90 huawei pura 70 ultra mobiles (I am in love with them). My mother also has 20 iphone 11 mobiles. What is the absolute difference of the total number of mobiles and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:134", "request": "My friend has 48 iphone 5 mobiles. My brother has 85 tamburas. My friend also has 22 dogs. My grandmother has 86 zte mobiles. My uncle has 59 trout. My brother also has 26 saxophones. My cousin has 95 huawei nova 12i mobiles. I have 83 kazoos (here is why I have these many: initially I had 50 of them, then I lost 31 of them, but then I got another 85 of them, but then I lost 21 of them, so at the end I am left with 83 of them). My grandfather has 93 rababs. I also have 53 iphone 6 mobiles (maybe I just need some of them). My aunt has 65 opossums. My grandfather also has 82 harps. I also have 87 huawei mate 70 mobiles (it is a funny story how I have 87 of them: initially I had 95, then I also got another 24 making it a total of 119, then I got another 92 making it a total of 211, but then I lost 124 of them so eventually I am left with 87 of them now). My friend also has 78 buffaloes. My mother has 36 goats. My friend also has 98 bansuris. My uncle also has 61 samsung galaxy f05 mobiles. My aunt also has 76 pipas. I also have 29 autoharps (here is why I have these many: initially I had 40 of them, then I lost 17 of them, but then I got another 34 of them, but then I lost 28 of them, so at the end I am left with 29 of them). My sister has 56 harmonicas. I also have 9 tars (here is why I have these many: initially I had 93 of them, then I lost 55 of them, but then I got another 77 of them, but then I lost 106 of them, so at the end I am left with 9 of them). My father has 8 iphone 15 mobiles. My sister also has 94 leopards. My brother also has 79 beavers. My sister also has 54 biwas. My grandfather also has 93 trombones. My friend also has 65 iphone 4 mobiles. My mother also has 88 bisons. My grandmother also has 84 tambourines. My aunt also has 17 glockenspiels. My aunt also has 16 balafons. My father also has 80 electric violins. I also have 99 guzhengs (feeling good about this). My grandfather also has 78 tecno mobiles. My grandfather also has 53 huawei nova 12s mobiles. My grandmother also has 33 chameleons. My grandfather also has 88 bagpipes. I also have 17 google (pixel) mobiles (thrilled to have these). My uncle also has 2 badgers. I also have 33 iphone 13 mobiles (here is why I have these many: initially I had 18 of them, then I lost 17 of them, but then I got another 73 of them, but then I lost 41 of them, so at the end I am left with 33 of them). My father also has 47 bongos. My brother also has 61 foxes. My grandfather also has 5 synthesizer keyboards. My grandmother also has 83 cheetahs. My mother also has 51 didgeridoos. My mother also has 20 mallards. I also have 8 shrimps (it is a funny story how I have 8 of them: initially I had 23, then I also got another 24 making it a total of 47, then I got another 74 making it a total of 121, but then I lost 113 of them so eventually I am left with 8 of them now). I also have 29 koras (I do not think I need this much). I also have 19 armadillos (here is why I have these many: initially I had 80 of them, then I lost 68 of them, but then I got another 46 of them, but then I lost 39 of them, so at the end I am left with 19 of them). My father also has 94 pianos. I also have 85 timpanis (here is why I have these many: initially I had 71 of them, then I lost 66 of them, but then I got another 99 of them, but then I lost 19 of them, so at the end I am left with 85 of them). My cousin also has 33 samsung galaxy m55s mobiles. I also have 40 frogs (thrilled to have these). My mother also has 47 motorola mobiles. My sister also has 98 mules. My father also has 83 lizards. My aunt also has 36 rabbits. My uncle also has 34 iphone 8 mobiles. My sister also has 84 theremins. I also have 40 samsung galaxy tab s10 mobiles (maybe I just need some of them). I also have 51 banjoes (I really like them). I also have 35 guitars (here is why I have these many: initially I had 48 of them, then I lost 45 of them, but then I got another 57 of them, but then I lost 25 of them, so at the end I am left with 35 of them). My uncle also has 81 roosters. My brother also has 16 meizu mobiles. My sister also has 97 reindeer. My grandmother also has 97 tablas. My mother also has 47 flutes. I also have 22 castanets (it is a funny story how I have 22 of them: initially I had 24, then I also got another 58 making it a total of 82, then I got another 64 making it a total of 146, but then I lost 124 of them so eventually I am left with 22 of them now). I also have 63 viper snakes (feeling great about this). My friend also has 51 iguanas. My sister also has 78 double bass. I also have 28 iphone 14 mobiles (I like these a lot). My friend also has 75 elks. I also have 89 iphone 7 mobiles (it is a funny story how I have 89 of them: initially I had 22, then I also got another 33 making it a total of 55, then I got another 91 making it a total of 146, but then I lost 57 of them so eventually I am left with 89 of them now). My aunt also has 8 squirrels. My brother also has 24 toads. My grandfather also has 21 ravens. I also have 96 bats (thrilled to have these). I also have 42 newts (it is a funny story how I have 42 of them: initially I had 53, then I also got another 45 making it a total of 98, then I got another 97 making it a total of 195, but then I lost 153 of them so eventually I am left with 42 of them now). I also have 84 bass guitars (thrilled to have these). My aunt also has 22 flys. My grandmother also has 50 electric cellos. I also have 33 cockroaches (it is a funny story how I have 33 of them: initially I had 91, then I also got another 45 making it a total of 136, then I got another 35 making it a total of 171, but then I lost 138 of them so eventually I am left with 33 of them now). My cousin also has 10 sony mobiles. My father also has 72 maracas. My father also has 14 pandas. I also have 81 wolves (it is a funny story how I have 81 of them: initially I had 59, then I also got another 91 making it a total of 150, then I got another 19 making it a total of 169, but then I lost 88 of them so eventually I am left with 81 of them now). I also have 70 huawei nova 13 mobiles (I do not think I need this much). I also have 73 trumpets (feeling great about this). I also have 7 tanpuras (it is a funny story how I have 7 of them: initially I had 27, then I also got another 45 making it a total of 72, then I got another 66 making it a total of 138, but then I lost 131 of them so eventually I am left with 7 of them now). My aunt also has 26 recorders. My aunt also has 15 nokia mobiles. My aunt also has 68 owls. My sister also has 49 iphone 12 mobiles. I also have 80 dolphins (received them yesterday). I also have 13 elephants (received them last month). My grandfather also has 87 hyenas. I also have 53 penguins (here is why I have these many: initially I had 33 of them, then I lost 16 of them, but then I got another 80 of them, but then I lost 44 of them, so at the end I am left with 53 of them). My cousin also has 44 congas. My mother also has 99 ladybugs. I also have 32 french horns (I am in love with them). My sister also has 29 electric pianos. My friend also has 61 ocarinas. I also have 60 chimpanzees (I am in love with them). My uncle also has 24 samsung galaxy a16 mobiles. My father also has 49 parrots. My uncle also has 73 ferrets. My friend also has 77 samsung galaxy z fold6 mobiles. My uncle also has 82 raccoons. My grandfather also has 95 lg mobiles. My grandmother also has 33 samsung galaxy z fold5 mobiles. My uncle also has 59 vibraphone, steelpans. My sister also has 19 aardvarks. My grandmother also has 68 samsung galaxy c55 mobiles. My aunt also has 40 iphone 16 mobiles. My brother also has 58 falcons. I also have 84 samsung galaxy a35 mobiles (it is a funny story how I have 84 of them: initially I had 57, then I also got another 27 making it a total of 84, then I got another 53 making it a total of 137, but then I lost 53 of them so eventually I am left with 84 of them now). I also have 77 rats (here is why I have these many: initially I had 60 of them, then I lost 49 of them, but then I got another 94 of them, but then I lost 28 of them, so at the end I am left with 77 of them). My friend also has 14 sazzes. I also have 2 hummingbirds (it is a funny story how I have 2 of them: initially I had 96, then I also got another 43 making it a total of 139, then I got another 66 making it a total of 205, but then I lost 203 of them so eventually I am left with 2 of them now). My grandfather also has 84 mridangams. My friend also has 38 boars. My aunt also has 29 goldfish. My grandfather also has 97 clavichords. What is the absolute difference of the total number of mobiles and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:135", "request": "My aunt has 5 kia niro cars. My sister has 77 tesla model s cars. My mother has 77 dodge challenger cars. I have 63 pianos (here is why I have these many: initially I had 93 of them, then I lost 30 of them, but then I got another 55 of them, but then I lost 55 of them, so at the end I am left with 63 of them). My brother has 23 nissan leaf cars. My aunt also has 41 guzhengs. I also have 97 tambourines (it is a funny story how I have 97 of them: initially I had 93, then I also got another 80 making it a total of 173, then I got another 53 making it a total of 226, but then I lost 129 of them so eventually I am left with 97 of them now). My brother also has 36 timpanis. My brother also has 44 grenache grapes. My grandmother has 26 subaru ascent cars. I also have 97 plantains (feeling great about this). I also have 61 erhus (maybe I just need some of them). My friend has 8 electric violins. My mother also has 90 cantaloupes. My grandfather has 56 cotton candy grapes. My father has 17 toyota avalon cars. I also have 79 pinot noir grapes (I like these a lot). My mother also has 20 guavas. My grandfather also has 91 honda pilot cars. I also have 79 nissan titan cars (here is why I have these many: initially I had 58 of them, then I lost 39 of them, but then I got another 93 of them, but then I lost 33 of them, so at the end I am left with 79 of them). My sister also has 86 jackfruits. I also have 34 banjoes (hope to have more in the future). My friend also has 92 zithers. My mother also has 23 guitars. I also have 6 clementinefigs (I do not think I need this much). My aunt also has 77 honda hr-v cars. My brother also has 84 mazda cx-90 cars. My brother also has 53 honda insight cars. My brother also has 20 toyota tacoma cars. I also have 81 pink lady apples (it is a funny story how I have 81 of them: initially I had 76, then I also got another 34 making it a total of 110, then I got another 74 making it a total of 184, but then I lost 103 of them so eventually I am left with 81 of them now). My sister also has 56 honda prologuq cars. My father also has 1 mazda3 cars. My sister also has 63 bongos. My brother also has 2 electric drums. I also have 93 cherrys (here is why I have these many: initially I had 25 of them, then I lost 14 of them, but then I got another 92 of them, but then I lost 10 of them, so at the end I am left with 93 of them). My brother also has 14 gala apples. I also have 57 plums (received them yesterday). I also have 28 toyota sienna cars (I like these a lot). My friend also has 28 bananas. My father also has 77 trumpets. I also have 36 panpipes (received them yesterday). My brother also has 82 hammered dulcimers. My grandfather also has 11 ford edge cars. I also have 75 pomegranates (feeling good about this). My brother also has 37 toyota corolla cars. My grandmother also has 10 riesling grapes. My grandfather also has 68 breadfruits. My father also has 72 honeycrisp apples. I also have 97 tanpuras (it is a funny story how I have 97 of them: initially I had 30, then I also got another 32 making it a total of 62, then I got another 83 making it a total of 145, but then I lost 48 of them so eventually I am left with 97 of them now). My father also has 48 toyota highlander cars. I also have 95 toyota prius cars (they are great). I also have 49 lychees (I really like them). My mother also has 26 merlot grapes. My sister also has 84 violins. I also have 58 ocarinas (it is a funny story how I have 58 of them: initially I had 65, then I also got another 44 making it a total of 109, then I got another 31 making it a total of 140, but then I lost 82 of them so eventually I am left with 58 of them now). I also have 62 honda element cars (here is why I have these many: initially I had 60 of them, then I lost 35 of them, but then I got another 43 of them, but then I lost 6 of them, so at the end I am left with 62 of them). I also have 32 drums (here is why I have these many: initially I had 26 of them, then I lost 17 of them, but then I got another 73 of them, but then I lost 50 of them, so at the end I am left with 32 of them). I also have 1 ginger gold apple (here is why I have these many: initially I had 56 of them, then I lost 26 of them, but then I got another 88 of them, but then I lost 117 of them, so at the end I am left with 1 of them). My cousin has 85 honda accord cars. My sister also has 81 toyota 4runnertoyota sequoia cars. My mother also has 20 tamburas. I also have 22 honda passport cars (it is a funny story how I have 22 of them: initially I had 50, then I also got another 38 making it a total of 88, then I got another 76 making it a total of 164, but then I lost 142 of them so eventually I am left with 22 of them now). My mother also has 8 quinces. My grandmother also has 5 electric bass. I also have 83 nissan ariya cars (I do not think I need this much). My sister also has 3 sazzes. My uncle has 47 kiwis. I also have 48 kalimbas (received them last month). I also have 40 glockenspiels (it is a funny story how I have 40 of them: initially I had 81, then I also got another 42 making it a total of 123, then I got another 80 making it a total of 203, but then I lost 163 of them so eventually I am left with 40 of them now). My mother also has 35 electric guitars. I also have 61 sitars (planning to have more in the future). My mother also has 59 starfruits. My mother also has 27 organs. I also have 85 mazda6 cars (here is why I have these many: initially I had 54 of them, then I lost 34 of them, but then I got another 76 of them, but then I lost 11 of them, so at the end I am left with 85 of them). I also have 47 nissan murano cars (here is why I have these many: initially I had 42 of them, then I lost 23 of them, but then I got another 94 of them, but then I lost 66 of them, so at the end I am left with 47 of them). My grandfather also has 40 jonagold apples. My brother also has 88 clavichords. I also have 36 hyundai santa fe cars (received them yesterday). My mother also has 82 coconuts. My grandmother also has 73 mulberrys. My cousin also has 49 watermelons. I also have 15 mazda mx-30 cars (received them last week). My cousin also has 82 honda civic cars. My father also has 40 buick enclave cars. I also have 67 autumn royal grapes (here is why I have these many: initially I had 29 of them, then I lost 25 of them, but then I got another 97 of them, but then I lost 34 of them, so at the end I am left with 67 of them). I also have 28 castanets (thrilled to have these). My mother also has 56 cranberrys. I also have 95 tablas (I like these a lot). My aunt also has 12 honeydews. I also have 34 hyundai elantra cars (planning to have more in the future). I also have 22 durians (hope to have more in the future). I also have 12 nebbiolo grapes (it is a funny story how I have 12 of them: initially I had 57, then I also got another 15 making it a total of 72, then I got another 84 making it a total of 156, but then I lost 144 of them so eventually I am left with 12 of them now). My grandfather also has 2 harpsichords. I also have 43 mazda cx-30 cars (very happy to have them). I also have 38 djembes (received them last month). I also have 73 mazda cx-5 cars (thrilled to have these). I also have 7 lemons (I do not think I need this much). I also have 80 autoharps (it is a funny story how I have 80 of them: initially I had 78, then I also got another 48 making it a total of 126, then I got another 56 making it a total of 182, but then I lost 102 of them so eventually I am left with 80 of them now). My father also has 90 nadaswarams. I also have 91 theremins (here is why I have these many: initially I had 75 of them, then I lost 19 of them, but then I got another 100 of them, but then I lost 65 of them, so at the end I am left with 91 of them). My cousin also has 65 double bass. What is the absolute difference of the total number of fruits and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:136", "request": "My friend has 10 jonagold apples. My sister has 88 ginger gold apples. I have 27 honeydews (here is why I have these many: initially I had 14 of them, then I lost 12 of them, but then I got another 92 of them, but then I lost 67 of them, so at the end I am left with 27 of them). I also have 82 fuji apples (it is a funny story how I have 82 of them: initially I had 89, then I also got another 50 making it a total of 139, then I got another 33 making it a total of 172, but then I lost 90 of them so eventually I am left with 82 of them now). My grandfather has 65 sazzes. My father has 60 ants. I also have 69 recorders (here is why I have these many: initially I had 42 of them, then I lost 26 of them, but then I got another 59 of them, but then I lost 6 of them, so at the end I am left with 69 of them). I also have 20 mridangams (here is why I have these many: initially I had 63 of them, then I lost 12 of them, but then I got another 27 of them, but then I lost 58 of them, so at the end I am left with 20 of them). My friend also has 48 bisons. I also have 1 plum (planning to have more in the future). I also have 52 antelopes (here is why I have these many: initially I had 29 of them, then I lost 16 of them, but then I got another 89 of them, but then I lost 50 of them, so at the end I am left with 52 of them). My sister also has 14 dates. I also have 64 grapefruits (it is a funny story how I have 64 of them: initially I had 75, then I also got another 82 making it a total of 157, then I got another 85 making it a total of 242, but then I lost 178 of them so eventually I am left with 64 of them now). My mother has 24 shrews. My grandmother has 25 french horns. I also have 26 jellyfish (here is why I have these many: initially I had 98 of them, then I lost 68 of them, but then I got another 55 of them, but then I lost 59 of them, so at the end I am left with 26 of them). My sister also has 22 ladybugs. I also have 94 snails (received them yesterday). My father also has 27 vibraphone, steelpans. My uncle has 70 seals. My cousin has 25 pink lady apples. My uncle also has 66 trombones. My grandfather also has 99 rababs. My friend also has 52 harpsichords. I also have 86 koras (I really like them). My father also has 27 clementinefigs. My grandmother also has 26 tamburas. I also have 65 buffaloes (it is a funny story how I have 65 of them: initially I had 87, then I also got another 45 making it a total of 132, then I got another 97 making it a total of 229, but then I lost 164 of them so eventually I am left with 65 of them now). My aunt has 45 electric drums. I also have 36 whales (here is why I have these many: initially I had 73 of them, then I lost 34 of them, but then I got another 15 of them, but then I lost 18 of them, so at the end I am left with 36 of them). My grandmother also has 31 pianos. I also have 48 stingrays (I really like them). My brother has 55 magpies. I also have 19 papayas (here is why I have these many: initially I had 87 of them, then I lost 78 of them, but then I got another 62 of them, but then I lost 52 of them, so at the end I am left with 19 of them). My uncle also has 68 ravens. My uncle also has 60 autumn royal grapes. My uncle also has 44 tigers. My mother also has 41 cellos. My uncle also has 78 flutes. My mother also has 55 blueberrys. I also have 68 eagles (here is why I have these many: initially I had 56 of them, then I lost 11 of them, but then I got another 40 of them, but then I lost 17 of them, so at the end I am left with 68 of them). I also have 61 trumpets (received them last week). My friend also has 45 theremins. My father also has 60 penguins. My sister also has 35 nadaswarams. My cousin also has 33 maracas. My sister also has 29 cherrys. My aunt also has 96 syrah grapes. My grandfather also has 62 corgis. My grandmother also has 7 balafons. I also have 82 aardvarks (it is a funny story how I have 82 of them: initially I had 98, then I also got another 47 making it a total of 145, then I got another 34 making it a total of 179, but then I lost 97 of them so eventually I am left with 82 of them now). My cousin also has 8 lemurs. My uncle also has 64 groundhogs. I also have 5 banjoes (received them yesterday). My brother also has 43 bansuris. I also have 56 cranberrys (it is a funny story how I have 56 of them: initially I had 91, then I also got another 91 making it a total of 182, then I got another 25 making it a total of 207, but then I lost 151 of them so eventually I am left with 56 of them now). I also have 69 trout (it is a funny story how I have 69 of them: initially I had 59, then I also got another 37 making it a total of 96, then I got another 10 making it a total of 106, but then I lost 37 of them so eventually I am left with 69 of them now). My friend also has 22 coconuts. My sister also has 73 dulcimers. My brother also has 79 electric bass. I also have 68 electric cellos (I like these a lot). I also have 29 electric guitars (here is why I have these many: initially I had 79 of them, then I lost 66 of them, but then I got another 89 of them, but then I lost 73 of them, so at the end I am left with 29 of them). My grandfather also has 73 cockroaches. I also have 21 electric violins (it is a funny story how I have 21 of them: initially I had 34, then I also got another 36 making it a total of 70, then I got another 20 making it a total of 90, but then I lost 69 of them so eventually I am left with 21 of them now). My friend also has 49 guinea pigs. I also have 88 tanpuras (I really like them). I also have 56 merlot grapes (one day, I will have more of them). My grandfather also has 49 timpanis. I also have 1 harp (here is why I have these many: initially I had 80 of them, then I lost 25 of them, but then I got another 91 of them, but then I lost 145 of them, so at the end I am left with 1 of them). I also have 61 ouds (I like these a lot). My cousin also has 61 lutes. My cousin also has 16 jazz apples. I also have 33 n'gonis (they were given to me as a gift). I also have 56 prairie dogs (it is a funny story how I have 56 of them: initially I had 44, then I also got another 77 making it a total of 121, then I got another 74 making it a total of 195, but then I lost 139 of them so eventually I am left with 56 of them now). My cousin also has 65 butterflys. I also have 33 ambrosia apples (one day, I will have more of them). I also have 90 djembes (I really like them). My father also has 90 bananas. My uncle also has 55 dogs. I also have 80 hammered dulcimers (it is a funny story how I have 80 of them: initially I had 27, then I also got another 79 making it a total of 106, then I got another 80 making it a total of 186, but then I lost 106 of them so eventually I am left with 80 of them now). My grandmother also has 67 llamas. I also have 37 breadfruits (feeling great about this). I also have 73 pennywhistles (it is a funny story how I have 73 of them: initially I had 36, then I also got another 48 making it a total of 84, then I got another 59 making it a total of 143, but then I lost 70 of them so eventually I am left with 73 of them now). My aunt also has 3 autoharps. My aunt also has 64 pomegranates. I also have 89 tablas (it is a funny story how I have 89 of them: initially I had 15, then I also got another 14 making it a total of 29, then I got another 68 making it a total of 97, but then I lost 8 of them so eventually I am left with 89 of them now). My grandfather also has 96 dragonfruits. I also have 67 muscat grapes (it is a funny story how I have 67 of them: initially I had 91, then I also got another 77 making it a total of 168, then I got another 76 making it a total of 244, but then I lost 177 of them so eventually I am left with 67 of them now). I also have 74 guzhengs (here is why I have these many: initially I had 98 of them, then I lost 48 of them, but then I got another 49 of them, but then I lost 25 of them, so at the end I am left with 74 of them). I also have 77 panpipes (happt to have them). My father also has 38 manatees. My sister also has 88 tars. I also have 37 macaws (it is a funny story how I have 37 of them: initially I had 67, then I also got another 64 making it a total of 131, then I got another 59 making it a total of 190, but then I lost 153 of them so eventually I am left with 37 of them now). My aunt also has 31 bouzoukis. My brother also has 83 orangutans. My aunt also has 31 chardonnay grapes. I also have 34 durians (received them yesterday). I also have 13 cotton candy grapes (it is a funny story how I have 13 of them: initially I had 36, then I also got another 77 making it a total of 113, then I got another 89 making it a total of 202, but then I lost 189 of them so eventually I am left with 13 of them now). I also have 70 plantains (received them last week). My grandfather also has 79 walrus. I also have 50 didgeridoos (received them last week). My brother also has 95 mallards. I also have 40 elderberryoranges (it is a funny story how I have 40 of them: initially I had 46, then I also got another 66 making it a total of 112, then I got another 98 making it a total of 210, but then I lost 170 of them so eventually I am left with 40 of them now). I also have 78 drums (here is why I have these many: initially I had 14 of them, then I lost 12 of them, but then I got another 95 of them, but then I lost 19 of them, so at the end I am left with 78 of them). I also have 6 wolves (happt to have them). I also have 9 oboes (here is why I have these many: initially I had 22 of them, then I lost 11 of them, but then I got another 65 of them, but then I lost 67 of them, so at the end I am left with 9 of them). My aunt also has 26 black rat snakes. My friend also has 75 bats. My sister also has 63 viper snakes. I also have 77 lychees (thrilled to have these). My mother also has 70 synthesizer keyboards. My grandmother also has 76 skunks. My aunt also has 18 riesling grapes. I also have 96 nebbiolo grapes (planning to have more in the future). My friend also has 15 ponys. What is the absolute difference of the total number of musical instruments and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:138", "request": "My uncle has 51 koras. I have 30 samsung galaxy a15 mobiles (very happy to have them). My brother has 40 komodo dragons. My brother also has 56 balafons. I also have 27 samsung galaxy tab s10 mobiles (feeling good about this). My mother has 30 whales. My father has 15 glockenspiels. My mother also has 91 rebecs. I also have 90 boa snakes (here is why I have these many: initially I had 57 of them, then I lost 55 of them, but then I got another 97 of them, but then I lost 9 of them, so at the end I am left with 90 of them). I also have 65 nokia mobiles (happt to have them). I also have 88 huawei nova 11 se mobiles (here is why I have these many: initially I had 93 of them, then I lost 73 of them, but then I got another 81 of them, but then I lost 13 of them, so at the end I am left with 88 of them). My aunt has 57 blackberry mobiles. My aunt also has 57 theremins. My sister has 72 salmon. My brother also has 30 oboes. I also have 49 clavichords (one day, I will have more of them). I also have 30 tambourines (thrilled to have these). I also have 78 vultures (planning to have more in the future). I also have 5 meizu mobiles (happt to have them). I also have 96 realme mobiles (it is a funny story how I have 96 of them: initially I had 62, then I also got another 89 making it a total of 151, then I got another 59 making it a total of 210, but then I lost 114 of them so eventually I am left with 96 of them now). My sister also has 59 xylophones. My brother also has 91 iphone 13 mobiles. My father also has 85 king cobra snakes. My uncle also has 78 bagpipes. I also have 81 lions (it is a funny story how I have 81 of them: initially I had 35, then I also got another 78 making it a total of 113, then I got another 47 making it a total of 160, but then I lost 79 of them so eventually I am left with 81 of them now). My uncle also has 3 skunks. My uncle also has 10 samsung galaxy a35 mobiles. I also have 56 mice (received them last week). My mother also has 14 iphone 16 mobiles. My mother also has 12 trombones. My cousin has 37 mallards. My brother also has 91 autoharps. My uncle also has 49 accordions. I also have 42 chimpanzees (it is a funny story how I have 42 of them: initially I had 64, then I also got another 10 making it a total of 74, then I got another 37 making it a total of 111, but then I lost 69 of them so eventually I am left with 42 of them now). My friend has 59 saxophones. My friend also has 71 samsung galaxy s24 mobiles. I also have 79 congas (they were given to me as a gift). I also have 67 huawei nova 12 pro mobiles (hope to have more in the future). I also have 95 cats (it is a funny story how I have 95 of them: initially I had 99, then I also got another 13 making it a total of 112, then I got another 27 making it a total of 139, but then I lost 44 of them so eventually I am left with 95 of them now). I also have 61 harpsichords (thrilled to have these). I also have 8 cobras (it is a funny story how I have 8 of them: initially I had 72, then I also got another 96 making it a total of 168, then I got another 73 making it a total of 241, but then I lost 233 of them so eventually I am left with 8 of them now). I also have 95 pandas (I am in love with them). My friend also has 77 otters. I also have 40 ouds (it is a funny story how I have 40 of them: initially I had 80, then I also got another 41 making it a total of 121, then I got another 25 making it a total of 146, but then I lost 106 of them so eventually I am left with 40 of them now). I also have 1 sony mobiles (here is why I have these many: initially I had 75 of them, then I lost 14 of them, but then I got another 94 of them, but then I lost 154 of them, so at the end I am left with 1 of them). I also have 73 didgeridoos (it is a funny story how I have 73 of them: initially I had 37, then I also got another 69 making it a total of 106, then I got another 42 making it a total of 148, but then I lost 75 of them so eventually I am left with 73 of them now). My friend also has 51 iphone 11 mobiles. I also have 2 google (pixel) mobiles (they were given to me as a gift). I also have 80 erhus (they were given to me as a gift). My brother also has 23 baboons. I also have 42 iphone 12 mobiles (very happy to have them). I also have 95 samsung galaxy a55 mobiles (feeling good about this). My aunt also has 60 falcons. I also have 64 xiaomi mobiles (I do not think I need this much). My father also has 29 marimbas. I also have 70 viper snakes (here is why I have these many: initially I had 30 of them, then I lost 20 of them, but then I got another 62 of them, but then I lost 2 of them, so at the end I am left with 70 of them). My father also has 97 bears. My brother also has 90 samsung galaxy a16 mobiles. I also have 62 huawei mate 70 mobiles (thrilled to have these). My grandmother has 3 iphone 15 mobiles. I also have 77 motorola mobiles (it is a funny story how I have 77 of them: initially I had 100, then I also got another 80 making it a total of 180, then I got another 33 making it a total of 213, but then I lost 136 of them so eventually I am left with 77 of them now). My friend also has 64 salamanders. My aunt also has 87 iphone 14 mobiles. I also have 11 ladybugs (I am in love with them). My aunt also has 91 albatross. My grandmother also has 60 violins. My aunt also has 72 samsung galaxy m55s mobiles. My grandfather has 66 iphone x mobiles. I also have 69 crows (happt to have them). My grandmother also has 46 tanpuras. My father also has 82 kazoos. My mother also has 94 tortoises. My aunt also has 67 shamisens. I also have 69 llamas (here is why I have these many: initially I had 50 of them, then I lost 12 of them, but then I got another 95 of them, but then I lost 64 of them, so at the end I am left with 69 of them). My grandmother also has 76 roosters. My cousin also has 8 iphone 4 mobiles. I also have 49 hammered dulcimers (I am in love with them). My grandmother also has 89 tecno mobiles. My friend also has 10 lemurs. I also have 74 infinix mobiles (here is why I have these many: initially I had 30 of them, then I lost 20 of them, but then I got another 70 of them, but then I lost 6 of them, so at the end I am left with 74 of them). My friend also has 3 shrimps. My grandfather also has 5 timpanis. My cousin also has 54 sruti boxes. My uncle also has 9 huawei nova 12s mobiles. My grandfather also has 19 turkeys. I also have 78 wasps (it is a funny story how I have 78 of them: initially I had 30, then I also got another 46 making it a total of 76, then I got another 62 making it a total of 138, but then I lost 60 of them so eventually I am left with 78 of them now). My aunt also has 71 huawei pura 70 mobiles. My brother also has 59 pianos. My uncle also has 10 rattlesnakes. My uncle also has 68 elephants. My father also has 15 camels. My uncle also has 81 djembes. My aunt also has 31 marmots. What is the absolute difference of the total number of animals/insects and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:140", "request": "My father has 33 oboes. My aunt has 29 ferrets. My aunt also has 14 shrimps. My sister has 91 realme mobiles. My sister also has 24 mules. My grandfather has 12 garter snakes. My brother has 22 iphone x mobiles. I have 77 pipas (I really like them). My aunt also has 92 samsung galaxy m55s mobiles. My uncle has 29 hippopotamus. My aunt also has 51 swans. I also have 40 iphone 6 mobiles (I like these a lot). I also have 47 ravens (received them yesterday). I also have 72 samsung galaxy z fold5 mobiles (received them last week). My grandfather also has 54 kazoos. I also have 39 alligators (here is why I have these many: initially I had 37 of them, then I lost 36 of them, but then I got another 82 of them, but then I lost 44 of them, so at the end I am left with 39 of them). My grandmother has 56 blackberry mobiles. My friend has 52 viper snakes. My aunt also has 91 rebecs. My grandmother also has 84 theremins. My friend also has 71 huawei nova 13 mobiles. My sister also has 38 flutes. My friend also has 29 google (pixel) mobiles. My aunt also has 57 infinix mobiles. My cousin has 74 seahorses. I also have 26 nadaswarams (it is a funny story how I have 26 of them: initially I had 100, then I also got another 58 making it a total of 158, then I got another 36 making it a total of 194, but then I lost 168 of them so eventually I am left with 26 of them now). I also have 87 antelopes (received them yesterday). I also have 88 electric guitars (hope to have more in the future). My mother has 30 ukuleles. My mother also has 40 vivo mobiles. My mother also has 99 emus. My brother also has 63 stingrays. My cousin also has 27 cod. My uncle also has 67 marimbas. My mother also has 40 chinchillas. My brother also has 47 huawei pura 70 pro mobiles. My sister also has 33 oppo mobiles. My aunt also has 26 synthesizer keyboards. My father also has 46 boa snakes. I also have 35 motorola mobiles (feeling good about this). I also have 25 moose (they were given to me as a gift). My grandmother also has 15 tambourines. I also have 49 tanpuras (here is why I have these many: initially I had 76 of them, then I lost 39 of them, but then I got another 22 of them, but then I lost 10 of them, so at the end I am left with 49 of them). My uncle also has 36 guitars. I also have 33 lg mobiles (happt to have them). My cousin also has 66 aardvarks. My brother also has 37 accordions. My brother also has 83 tablas. I also have 15 biwas (very happy to have them). My sister also has 56 hyenas. I also have 63 iphone 14 mobiles (here is why I have these many: initially I had 32 of them, then I lost 25 of them, but then I got another 97 of them, but then I lost 41 of them, so at the end I am left with 63 of them). I also have 70 iphone 4 mobiles (received them yesterday). I also have 90 oneplus mobiles (received them yesterday). I also have 65 huawei nova 12s mobiles (they were given to me as a gift). My uncle also has 76 tars. My mother also has 30 iphone 16 mobiles. I also have 19 huawei pura 70 mobiles (it is a funny story how I have 19 of them: initially I had 36, then I also got another 33 making it a total of 69, then I got another 98 making it a total of 167, but then I lost 148 of them so eventually I am left with 19 of them now). I also have 53 iphone 7 mobiles (planning to have more in the future). My grandmother also has 51 samsung galaxy f05 mobiles. My aunt also has 83 bongos. My sister also has 86 trumpets. My cousin also has 80 iphone 11 mobiles. My sister also has 65 panpipes. My grandfather also has 68 frogs. I also have 86 crows (one day, I will have more of them). My friend also has 20 newts. My friend also has 68 kangaroos. My aunt also has 76 nokia mobiles. I also have 14 yaks (received them yesterday). My friend also has 45 sloths. My friend also has 69 htc mobiles. I also have 68 lizards (hope to have more in the future). My grandmother also has 27 shamisens. I also have 66 goldfish (here is why I have these many: initially I had 44 of them, then I lost 35 of them, but then I got another 88 of them, but then I lost 31 of them, so at the end I am left with 66 of them). My grandfather also has 97 tamburas. I also have 65 gorillas (received them last month). My friend also has 87 samsung galaxy z fold6 mobiles. My mother also has 98 iphone 8 mobiles. My father also has 19 castanets. My sister also has 42 llamas. I also have 24 meizu mobiles (I am in love with them). My uncle also has 61 balafons. My cousin also has 66 penguins. I also have 34 bees (feeling great about this). I also have 59 clavichords (I like these a lot). My father also has 58 lutes. My sister also has 78 samsung galaxy a16 mobiles. My brother also has 5 turkeys. I also have 93 python snakes (it is a funny story how I have 93 of them: initially I had 71, then I also got another 35 making it a total of 106, then I got another 60 making it a total of 166, but then I lost 73 of them so eventually I am left with 93 of them now). My aunt also has 7 foxes. My sister also has 59 alpacas. I also have 94 orangutans (it is a funny story how I have 94 of them: initially I had 99, then I also got another 78 making it a total of 177, then I got another 23 making it a total of 200, but then I lost 106 of them so eventually I am left with 94 of them now). My friend also has 50 autoharps. My father also has 9 kalimbas. My father also has 26 double bass. I also have 88 black rat snakes (they were given to me as a gift). I also have 13 electric drums (here is why I have these many: initially I had 23 of them, then I lost 13 of them, but then I got another 14 of them, but then I lost 11 of them, so at the end I am left with 13 of them). My brother also has 4 cobras. What is the absolute difference of the total number of musical instruments and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:141", "request": "My brother has 37 nissan kicks cars. I have 1 syrah grape (feeling good about this). I also have 57 mazda cx-3 cars (it is a funny story how I have 57 of them: initially I had 43, then I also got another 63 making it a total of 106, then I got another 91 making it a total of 197, but then I lost 140 of them so eventually I am left with 57 of them now). My grandmother has 17 iphone 6 mobiles. My grandmother also has 94 huawei nova 12s mobiles. My father has 21 mazda6 cars. I also have 8 mazda cx-30 cars (received them last month). My grandfather has 52 mazda2 cars. My friend has 32 iphone 15 mobiles. My mother has 52 iphone 5 mobiles. My aunt has 52 iphone 12 mobiles. I also have 29 durians (I like these a lot). My uncle has 46 persimmons. I also have 24 nissan armada cars (it is a funny story how I have 24 of them: initially I had 28, then I also got another 35 making it a total of 63, then I got another 19 making it a total of 82, but then I lost 58 of them so eventually I am left with 24 of them now). My aunt also has 43 oppo mobiles. My friend also has 69 clementinefigs. My brother also has 58 toyota tundra cars. My cousin has 62 spartan apples. My uncle also has 52 blackberry mobiles. My grandfather also has 75 samsung galaxy a16 mobiles. I also have 94 chardonnay grapes (here is why I have these many: initially I had 27 of them, then I lost 20 of them, but then I got another 98 of them, but then I lost 11 of them, so at the end I am left with 94 of them). My cousin also has 83 ford edge cars. My friend also has 28 riesling grapes. My sister has 68 huawei mate 70 mobiles. My grandmother also has 97 honeydews. I also have 6 iphone 11 mobiles (it is a funny story how I have 6 of them: initially I had 42, then I also got another 33 making it a total of 75, then I got another 45 making it a total of 120, but then I lost 114 of them so eventually I am left with 6 of them now). My aunt also has 59 elderberryoranges. My cousin also has 51 samsung galaxy tab s10 mobiles. I also have 24 sony mobiles (here is why I have these many: initially I had 68 of them, then I lost 66 of them, but then I got another 39 of them, but then I lost 17 of them, so at the end I am left with 24 of them). My mother also has 2 iphone 7 mobiles. I also have 31 samsung galaxy f05 mobiles (feeling great about this). My uncle also has 46 toyota camry cars. My uncle also has 51 honda hr-v cars. My uncle also has 47 samsung galaxy m55s mobiles. I also have 66 toyota 4runnertoyota sequoia cars (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 72 of them, but then I lost 8 of them, so at the end I am left with 66 of them). My aunt also has 64 mazda3 cars. My mother also has 80 iphone 8 mobiles. My grandmother also has 86 subaru ascent cars. My sister also has 14 realme mobiles. I also have 41 oneplus mobiles (it is a funny story how I have 41 of them: initially I had 17, then I also got another 62 making it a total of 79, then I got another 53 making it a total of 132, but then I lost 91 of them so eventually I am left with 41 of them now). My sister also has 19 cherrys. I also have 55 jazz apples (here is why I have these many: initially I had 46 of them, then I lost 36 of them, but then I got another 73 of them, but then I lost 28 of them, so at the end I am left with 55 of them). My brother also has 37 honda element cars. I also have 64 mazda cx-5 cars (feeling great about this). My grandmother also has 49 tecno mobiles. I also have 54 honda odyssey cars (here is why I have these many: initially I had 50 of them, then I lost 34 of them, but then I got another 48 of them, but then I lost 10 of them, so at the end I am left with 54 of them). My brother also has 3 plantains. My grandfather also has 25 pomegranates. My grandfather also has 40 apricots. I also have 74 samsung galaxy z fold5 mobiles (hope to have more in the future). I also have 74 htc mobiles (it is a funny story how I have 74 of them: initially I had 39, then I also got another 100 making it a total of 139, then I got another 95 making it a total of 234, but then I lost 160 of them so eventually I am left with 74 of them now). My father also has 99 honda accord cars. My cousin also has 33 jackfruits. My uncle also has 49 autumn royal grapes. I also have 53 honda cr-v cars (they were given to me as a gift). My brother also has 22 toyota avalon cars. My mother also has 83 nissan sentra cars. I also have 22 peaches (it is a funny story how I have 22 of them: initially I had 34, then I also got another 67 making it a total of 101, then I got another 24 making it a total of 125, but then I lost 103 of them so eventually I am left with 22 of them now). My grandmother also has 83 ambrosia apples. My friend also has 21 strawberrys. My father also has 94 lemons. My brother also has 77 grapefruits. My grandfather also has 3 vivo mobiles. I also have 87 nissan murano cars (here is why I have these many: initially I had 41 of them, then I lost 24 of them, but then I got another 77 of them, but then I lost 7 of them, so at the end I am left with 87 of them). My father also has 47 samsung galaxy c55 mobiles. I also have 27 nissan pathfinder cars (thrilled to have these). My aunt also has 16 mazda cx-50 cars. I also have 7 xiaomi mobiles (it is a funny story how I have 7 of them: initially I had 63, then I also got another 26 making it a total of 89, then I got another 51 making it a total of 140, but then I lost 133 of them so eventually I am left with 7 of them now). My mother also has 29 toyota highlander cars. I also have 25 ginger gold apples (here is why I have these many: initially I had 39 of them, then I lost 15 of them, but then I got another 78 of them, but then I lost 77 of them, so at the end I am left with 25 of them). I also have 30 starfruits (here is why I have these many: initially I had 38 of them, then I lost 12 of them, but then I got another 91 of them, but then I lost 87 of them, so at the end I am left with 30 of them). I also have 52 samsung galaxy z fold6 mobiles (one day, I will have more of them). I also have 22 subaru outback cars (planning to have more in the future). My brother also has 27 meizu mobiles. My cousin also has 29 huawei pura 70 ultra mobiles. My sister also has 48 hyundai santa fe cars. My sister also has 77 dragonfruits. My brother also has 90 honda pilot cars. I also have 88 envy apples (here is why I have these many: initially I had 55 of them, then I lost 45 of them, but then I got another 95 of them, but then I lost 17 of them, so at the end I am left with 88 of them). I also have 17 pineapples (it is a funny story how I have 17 of them: initially I had 26, then I also got another 37 making it a total of 63, then I got another 76 making it a total of 139, but then I lost 122 of them so eventually I am left with 17 of them now). I also have 98 hyundai elantra cars (feeling great about this). I also have 63 zte mobiles (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 68 of them, but then I lost 6 of them, so at the end I am left with 63 of them). My grandmother also has 89 merlot grapes. My cousin also has 68 kiwis. My cousin also has 67 mangoes. My sister also has 89 nissan ariya cars. I also have 29 pinot noir grapes (it is a funny story how I have 29 of them: initially I had 96, then I also got another 53 making it a total of 149, then I got another 38 making it a total of 187, but then I lost 158 of them so eventually I am left with 29 of them now). I also have 53 mazda cx-70 cars (here is why I have these many: initially I had 72 of them, then I lost 12 of them, but then I got another 26 of them, but then I lost 33 of them, so at the end I am left with 53 of them). My grandfather also has 59 watermelons. My sister also has 52 mulberrys. My friend also has 8 nissan altima cars. My friend also has 94 papayas. I also have 49 nebbiolo grapes (planning to have more in the future). I also have 86 buick enclave cars (I like these a lot). What is the sum of the total number of mobiles and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:142", "request": "My aunt has 97 toyota prius cars. I have 76 huawei mate x6 mobiles (it is a funny story how I have 76 of them: initially I had 83, then I also got another 64 making it a total of 147, then I got another 66 making it a total of 213, but then I lost 137 of them so eventually I am left with 76 of them now). My cousin has 49 jellyfish. My friend has 7 nissan sentra cars. My father has 27 hummingbirds. My grandfather has 37 iphone 6 mobiles. My friend also has 29 giraffes. I also have 22 kangaroos (it is a funny story how I have 22 of them: initially I had 36, then I also got another 10 making it a total of 46, then I got another 58 making it a total of 104, but then I lost 82 of them so eventually I am left with 22 of them now). My friend also has 71 motorola mobiles. My uncle has 43 realme mobiles. My aunt also has 2 mazda2 cars. My sister has 4 kia niro cars. My grandmother has 85 nissan murano cars. My brother has 53 newts. My mother has 62 zte mobiles. My sister also has 48 mazda3 cars. I also have 61 bisons (it is a funny story how I have 61 of them: initially I had 64, then I also got another 63 making it a total of 127, then I got another 58 making it a total of 185, but then I lost 124 of them so eventually I am left with 61 of them now). I also have 23 toyota camry cars (it is a funny story how I have 23 of them: initially I had 25, then I also got another 45 making it a total of 70, then I got another 83 making it a total of 153, but then I lost 130 of them so eventually I am left with 23 of them now). My father also has 94 ducks. I also have 90 wolves (I do not think I need this much). I also have 73 samsung galaxy z fold6 mobiles (one day, I will have more of them). I also have 10 iphone 5 mobiles (planning to have more in the future). My grandfather also has 78 honda insight cars. My cousin also has 87 samsung galaxy a55 mobiles. My grandmother also has 90 sloths. My grandmother also has 41 iphone 11 mobiles. I also have 25 eagles (received them last month). My uncle also has 23 nissan pathfinder cars. My grandfather also has 7 iphone x mobiles. I also have 65 subaru outback cars (here is why I have these many: initially I had 51 of them, then I lost 21 of them, but then I got another 76 of them, but then I lost 41 of them, so at the end I am left with 65 of them). I also have 54 huawei pura 70 pro+ mobiles (I like these a lot). My mother also has 67 volkswagen golf cars. My uncle also has 45 sony mobiles. I also have 56 cranes (here is why I have these many: initially I had 19 of them, then I lost 15 of them, but then I got another 71 of them, but then I lost 19 of them, so at the end I am left with 56 of them). My father also has 69 tigers. I also have 65 toyota corolla cars (thrilled to have these). My aunt also has 78 blackberry mobiles. My grandfather also has 15 hyundai elantra cars. I also have 88 lg mobiles (it is a funny story how I have 88 of them: initially I had 55, then I also got another 25 making it a total of 80, then I got another 61 making it a total of 141, but then I lost 53 of them so eventually I am left with 88 of them now). I also have 86 huawei nova 11 se mobiles (one day, I will have more of them). My mother also has 87 geese. My mother also has 99 toyota tacoma cars. I also have 52 narwhals (I do not think I need this much). I also have 16 mazda cx-50 cars (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 25 of them, but then I lost 10 of them, so at the end I am left with 16 of them). My sister also has 47 impalas. I also have 49 octopus (they are great). My mother also has 88 xiaomi mobiles. I also have 82 nissan altima cars (thrilled to have these). My brother also has 37 samsung galaxy a35 mobiles. My grandmother also has 31 toyota c-hr cars. My mother also has 38 mazda cx-5 cars. My grandmother also has 64 elephants. I also have 56 mazda cx-30 cars (I do not think I need this much). I also have 5 emus (feeling great about this). My grandmother also has 15 nissan armada cars. My uncle also has 20 huawei pura 70 ultra mobiles. I also have 18 anteaters (here is why I have these many: initially I had 48 of them, then I lost 28 of them, but then I got another 44 of them, but then I lost 46 of them, so at the end I am left with 18 of them). I also have 43 toyota avalon cars (feeling great about this). My sister also has 72 flys. I also have 42 mamba snakes (I am in love with them). My friend also has 57 iphone 14 mobiles. My cousin also has 3 trout. I also have 28 honda accord cars (they were given to me as a gift). My grandfather also has 94 toyota sienna cars. My father also has 51 samsung galaxy f05 mobiles. I also have 82 nissan ariya cars (planning to have more in the future). I also have 64 cobras (it is a funny story how I have 64 of them: initially I had 77, then I also got another 20 making it a total of 97, then I got another 33 making it a total of 130, but then I lost 66 of them so eventually I am left with 64 of them now). My father also has 68 falcons. My cousin also has 65 prairie dogs. My grandfather also has 57 infinix mobiles. I also have 79 lizards (it is a funny story how I have 79 of them: initially I had 25, then I also got another 24 making it a total of 49, then I got another 89 making it a total of 138, but then I lost 59 of them so eventually I am left with 79 of them now). I also have 29 honor mobiles (here is why I have these many: initially I had 21 of them, then I lost 13 of them, but then I got another 66 of them, but then I lost 45 of them, so at the end I am left with 29 of them). I also have 77 viper snakes (it is a funny story how I have 77 of them: initially I had 59, then I also got another 32 making it a total of 91, then I got another 77 making it a total of 168, but then I lost 91 of them so eventually I am left with 77 of them now). My grandmother also has 83 cows. My uncle also has 74 vivo mobiles. I also have 58 penguins (one day, I will have more of them). My grandmother also has 62 samsung galaxy m55s mobiles. I also have 5 meizu mobiles (here is why I have these many: initially I had 86 of them, then I lost 77 of them, but then I got another 74 of them, but then I lost 78 of them, so at the end I am left with 5 of them). I also have 16 honda odyssey cars (here is why I have these many: initially I had 40 of them, then I lost 31 of them, but then I got another 84 of them, but then I lost 77 of them, so at the end I am left with 16 of them). My grandmother also has 64 toyota 4runnertoyota sequoia cars. My uncle also has 58 subaru ascent cars. My uncle also has 24 salmon. I also have 49 huawei nova 12s mobiles (I really like them). I also have 83 huawei nova 13 mobiles (very happy to have them). I also have 32 samsung galaxy a15 mobiles (here is why I have these many: initially I had 19 of them, then I lost 18 of them, but then I got another 61 of them, but then I lost 30 of them, so at the end I am left with 32 of them). My brother also has 73 huawei pura 70 pro mobiles. I also have 64 dodge challenger cars (here is why I have these many: initially I had 52 of them, then I lost 38 of them, but then I got another 74 of them, but then I lost 24 of them, so at the end I am left with 64 of them). My aunt also has 78 toyota rav4 cars. My mother also has 6 nissan kicks cars. I also have 63 shrimps (it is a funny story how I have 63 of them: initially I had 94, then I also got another 57 making it a total of 151, then I got another 58 making it a total of 209, but then I lost 146 of them so eventually I am left with 63 of them now). My cousin also has 10 monkeys. I also have 27 iphone 8 mobiles (it is a funny story how I have 27 of them: initially I had 77, then I also got another 57 making it a total of 134, then I got another 53 making it a total of 187, but then I lost 160 of them so eventually I am left with 27 of them now). My grandmother also has 32 storks. I also have 72 iphone 15 mobiles (it is a funny story how I have 72 of them: initially I had 33, then I also got another 49 making it a total of 82, then I got another 25 making it a total of 107, but then I lost 35 of them so eventually I am left with 72 of them now). I also have 49 iphone 4 mobiles (planning to have more in the future). My sister also has 85 opossums. What is the sum of the total number of mobiles and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:144", "request": "My aunt has 6 huawei nova 11 se mobiles. My friend has 40 huawei pura 70 ultra mobiles. My father has 87 iphone 5 mobiles. My sister has 38 samsung galaxy a16 mobiles. I have 5 envy apples (maybe I just need some of them). My grandmother has 80 blueberrys. My cousin has 10 honda hr-v cars. My uncle has 99 toyota tundra cars. My uncle also has 93 huawei pura 70 mobiles. I also have 28 oneplus mobiles (it is a funny story how I have 28 of them: initially I had 61, then I also got another 45 making it a total of 106, then I got another 20 making it a total of 126, but then I lost 98 of them so eventually I am left with 28 of them now). My uncle also has 18 mazda2 cars. I also have 29 iphone 15 mobiles (maybe I just need some of them). My cousin also has 48 samsung galaxy f05 mobiles. My friend also has 41 mazda cx-30 cars. My grandfather has 22 papayas. I also have 34 iphone 8 mobiles (here is why I have these many: initially I had 84 of them, then I lost 19 of them, but then I got another 47 of them, but then I lost 78 of them, so at the end I am left with 34 of them). My brother has 64 samsung galaxy a55 mobiles. My grandmother also has 63 buick enclave cars. My grandfather also has 11 gala apples. My grandmother also has 35 lg mobiles. I also have 61 starfruits (it is a funny story how I have 61 of them: initially I had 47, then I also got another 58 making it a total of 105, then I got another 85 making it a total of 190, but then I lost 129 of them so eventually I am left with 61 of them now). My mother has 37 honda accord cars. My father also has 28 jeep gladiator cars. I also have 66 samsung galaxy z fold5 mobiles (it is a funny story how I have 66 of them: initially I had 29, then I also got another 31 making it a total of 60, then I got another 80 making it a total of 140, but then I lost 74 of them so eventually I am left with 66 of them now). I also have 55 samsung galaxy s24 mobiles (they were given to me as a gift). I also have 8 toyota rav4 cars (they were given to me as a gift). My uncle also has 35 samsung galaxy c55 mobiles. My sister also has 92 volkswagen golf cars. My aunt also has 77 iphone 12 mobiles. My aunt also has 79 toyota c-hr cars. My father also has 55 iphone 11 mobiles. My grandmother also has 1 nissan rogue cars. My mother also has 78 samsung galaxy a35 mobiles. My aunt also has 22 nokia mobiles. My aunt also has 88 merlot grapes. My sister also has 54 nectarines. My brother also has 17 mazda cx-3 cars. My grandfather also has 53 dodge challenger cars. I also have 39 peaches (I like these a lot). My uncle also has 92 subaru outback cars. My uncle also has 9 subaru impreza cars. I also have 53 raspberrys (I like these a lot). I also have 78 kiwis (I am in love with them). My grandfather also has 77 mazda cx-70 cars. My brother also has 10 spartan apples. My mother also has 14 huawei nova 13 mobiles. My father also has 83 dates. I also have 95 watermelons (planning to have more in the future). I also have 10 honda prologuq cars (here is why I have these many: initially I had 33 of them, then I lost 31 of them, but then I got another 49 of them, but then I lost 41 of them, so at the end I am left with 10 of them). My mother also has 13 soursops. I also have 6 pink lady apples (it is a funny story how I have 6 of them: initially I had 23, then I also got another 49 making it a total of 72, then I got another 70 making it a total of 142, but then I lost 136 of them so eventually I am left with 6 of them now). My uncle also has 65 toyota tacoma cars. My brother also has 36 autumn royal grapes. I also have 94 huawei nova 12i mobiles (it is a funny story how I have 94 of them: initially I had 100, then I also got another 71 making it a total of 171, then I got another 73 making it a total of 244, but then I lost 150 of them so eventually I am left with 94 of them now). My grandmother also has 78 coconuts. I also have 28 nissan pathfinder cars (here is why I have these many: initially I had 61 of them, then I lost 41 of them, but then I got another 84 of them, but then I lost 76 of them, so at the end I am left with 28 of them). I also have 66 honda odyssey cars (it is a funny story how I have 66 of them: initially I had 36, then I also got another 49 making it a total of 85, then I got another 84 making it a total of 169, but then I lost 103 of them so eventually I am left with 66 of them now). My sister also has 86 blackberry mobiles. I also have 94 dragonfruits (it is a funny story how I have 94 of them: initially I had 70, then I also got another 28 making it a total of 98, then I got another 15 making it a total of 113, but then I lost 19 of them so eventually I am left with 94 of them now). I also have 54 mangoes (happt to have them). I also have 92 huawei pura 70 pro mobiles (received them last month). My aunt also has 63 samsung galaxy tab s10 mobiles. My aunt also has 55 audi a6 cars. I also have 31 huawei nova 12 pro mobiles (feeling good about this). My aunt also has 97 iphone 16 mobiles. I also have 24 infinix mobiles (here is why I have these many: initially I had 32 of them, then I lost 29 of them, but then I got another 74 of them, but then I lost 53 of them, so at the end I am left with 24 of them). My cousin also has 28 iphone x mobiles. I also have 40 iphone 14 mobiles (it is a funny story how I have 40 of them: initially I had 38, then I also got another 81 making it a total of 119, then I got another 12 making it a total of 131, but then I lost 91 of them so eventually I am left with 40 of them now). I also have 84 iphone 7 mobiles (I like these a lot). My sister also has 70 samsung galaxy m55s mobiles. I also have 86 mazda mx-30 cars (here is why I have these many: initially I had 75 of them, then I lost 34 of them, but then I got another 66 of them, but then I lost 21 of them, so at the end I am left with 86 of them). My grandmother also has 44 huawei mate x6 mobiles. I also have 13 nissan titan cars (here is why I have these many: initially I had 28 of them, then I lost 20 of them, but then I got another 45 of them, but then I lost 40 of them, so at the end I am left with 13 of them). My friend also has 92 jackfruits. My brother also has 79 nissan sentra cars. My cousin also has 47 plantains. I also have 13 nissan maxima cars (received them yesterday). My grandmother also has 32 htc mobiles. I also have 87 huawei pura 70 pro+ mobiles (here is why I have these many: initially I had 51 of them, then I lost 24 of them, but then I got another 95 of them, but then I lost 35 of them, so at the end I am left with 87 of them). My cousin also has 73 apricots. My grandfather also has 21 tesla model s cars. My sister also has 19 chardonnay grapes. My mother also has 81 honor mobiles. My grandmother also has 77 bananas. I also have 38 hyundai elantra cars (happt to have them). My grandmother also has 75 nissan altima cars. My grandfather also has 9 pinot noir grapes. My brother also has 38 grapefruits. My father also has 15 subaru ascent cars. I also have 1 motorola mobiles (I like these a lot). My sister also has 48 durians. My aunt also has 3 cantaloupes. I also have 57 xiaomi mobiles (maybe I just need some of them). My brother also has 86 toyota 4runnertoyota sequoia cars. I also have 93 oppo mobiles (it is a funny story how I have 93 of them: initially I had 27, then I also got another 77 making it a total of 104, then I got another 60 making it a total of 164, but then I lost 71 of them so eventually I am left with 93 of them now). My brother also has 87 samsung galaxy a15 mobiles. My brother also has 5 sony mobiles. I also have 12 iphone 6 mobiles (hope to have more in the future). My father also has 89 honda insight cars. My mother also has 47 muscat grapes. What is the sum of the total number of fruits and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:146", "request": "I have 90 huawei nova 11 se mobiles (very happy to have them). My brother has 85 accordions. My grandmother has 77 breadfruits. I also have 83 drums (maybe I just need some of them). My mother has 14 mulberrys. I also have 65 cranberrys (happt to have them). My father has 94 sony mobiles. My grandfather has 19 zithers. My aunt has 38 spartan apples. I also have 70 bouzoukis (here is why I have these many: initially I had 22 of them, then I lost 19 of them, but then I got another 97 of them, but then I lost 30 of them, so at the end I am left with 70 of them). I also have 23 motorola mobiles (here is why I have these many: initially I had 92 of them, then I lost 54 of them, but then I got another 21 of them, but then I lost 36 of them, so at the end I am left with 23 of them). My grandmother also has 92 trombones. My grandfather also has 49 jonagold apples. My grandfather also has 85 clementinefigs. My friend has 1 samsung galaxy z fold5 mobiles. I also have 63 congas (received them last month). My sister has 40 panpipes. I also have 98 iphone 7 mobiles (it is a funny story how I have 98 of them: initially I had 91, then I also got another 95 making it a total of 186, then I got another 17 making it a total of 203, but then I lost 105 of them so eventually I am left with 98 of them now). My friend also has 67 nectarines. I also have 36 tablas (happt to have them). I also have 12 hammered dulcimers (here is why I have these many: initially I had 84 of them, then I lost 37 of them, but then I got another 53 of them, but then I lost 88 of them, so at the end I am left with 12 of them). My brother also has 78 jackfruits. I also have 86 iphone 4 mobiles (it is a funny story how I have 86 of them: initially I had 30, then I also got another 46 making it a total of 76, then I got another 92 making it a total of 168, but then I lost 82 of them so eventually I am left with 86 of them now). My friend also has 23 honeydews. My brother also has 63 persimmons. My uncle has 2 lychees. My grandmother also has 16 samsung galaxy z fold6 mobiles. My sister also has 45 djembes. My grandfather also has 49 huawei nova 12i mobiles. My friend also has 16 huawei pura 70 pro mobiles. I also have 74 nadaswarams (it is a funny story how I have 74 of them: initially I had 96, then I also got another 76 making it a total of 172, then I got another 51 making it a total of 223, but then I lost 149 of them so eventually I am left with 74 of them now). My friend also has 66 kotoes. My father also has 23 sazzes. I also have 93 iphone 14 mobiles (one day, I will have more of them). I also have 61 harmonicas (maybe I just need some of them). My uncle also has 22 french horns. I also have 54 blueberrys (I do not think I need this much). My mother also has 14 grapefruits. I also have 58 huawei nova 13 mobiles (one day, I will have more of them). I also have 19 plums (it is a funny story how I have 19 of them: initially I had 95, then I also got another 35 making it a total of 130, then I got another 33 making it a total of 163, but then I lost 144 of them so eventually I am left with 19 of them now). My aunt also has 63 pianos. My grandmother also has 92 guitars. My brother also has 99 papayas. My sister also has 6 vibraphone, steelpans. My uncle also has 46 syrah grapes. My mother also has 85 cantaloupes. My grandfather also has 40 quinces. I also have 43 mandolins (here is why I have these many: initially I had 57 of them, then I lost 53 of them, but then I got another 57 of them, but then I lost 18 of them, so at the end I am left with 43 of them). My friend also has 49 electric cellos. My brother also has 54 samsung galaxy f05 mobiles. My sister also has 92 organs. I also have 14 soursops (it is a funny story how I have 14 of them: initially I had 50, then I also got another 40 making it a total of 90, then I got another 86 making it a total of 176, but then I lost 162 of them so eventually I am left with 14 of them now). My friend also has 28 oppo mobiles. I also have 36 trumpets (thrilled to have these). I also have 61 banjoes (feeling good about this). I also have 90 clarinets (I really like them). I also have 47 mangoes (here is why I have these many: initially I had 54 of them, then I lost 35 of them, but then I got another 48 of them, but then I lost 20 of them, so at the end I am left with 47 of them). My cousin has 89 iphone 13 mobiles. My friend also has 84 apricots. My aunt also has 31 cellos. I also have 10 autoharps (it is a funny story how I have 10 of them: initially I had 84, then I also got another 47 making it a total of 131, then I got another 60 making it a total of 191, but then I lost 181 of them so eventually I am left with 10 of them now). My brother also has 39 meizu mobiles. My brother also has 82 realme mobiles. My sister also has 16 electric drums. My brother also has 48 raspberrys. I also have 81 samsung galaxy a15 mobiles (it is a funny story how I have 81 of them: initially I had 30, then I also got another 75 making it a total of 105, then I got another 86 making it a total of 191, but then I lost 110 of them so eventually I am left with 81 of them now). I also have 42 blackberry mobiles (maybe I just need some of them). I also have 43 autumn royal grapes (here is why I have these many: initially I had 67 of them, then I lost 15 of them, but then I got another 11 of them, but then I lost 20 of them, so at the end I am left with 43 of them). My aunt also has 36 bongos. I also have 80 pears (feeling great about this). My grandfather also has 26 samsung galaxy a35 mobiles. I also have 34 saxophones (I really like them). I also have 61 guzhengs (maybe I just need some of them). My brother also has 70 durians. My aunt also has 85 glockenspiels. My cousin also has 33 samsung galaxy c55 mobiles. I also have 89 bass guitars (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 94 of them, but then I lost 7 of them, so at the end I am left with 89 of them). I also have 91 pink lady apples (they are great). I also have 33 nokia mobiles (it is a funny story how I have 33 of them: initially I had 78, then I also got another 29 making it a total of 107, then I got another 85 making it a total of 192, but then I lost 159 of them so eventually I am left with 33 of them now). My aunt also has 47 huawei pura 70 pro+ mobiles. My aunt also has 83 rababs. My mother also has 32 n'gonis. I also have 73 peaches (one day, I will have more of them). I also have 80 huawei mate 70 mobiles (here is why I have these many: initially I had 19 of them, then I lost 13 of them, but then I got another 80 of them, but then I lost 6 of them, so at the end I am left with 80 of them). My aunt also has 39 pinot noir grapes. I also have 56 tamburas (one day, I will have more of them). I also have 21 huawei mate x6 mobiles (it is a funny story how I have 21 of them: initially I had 65, then I also got another 55 making it a total of 120, then I got another 28 making it a total of 148, but then I lost 127 of them so eventually I am left with 21 of them now). I also have 81 electric bass (planning to have more in the future). My father also has 84 iphone 5 mobiles. I also have 98 pennywhistles (feeling good about this). I also have 81 pineapples (it is a funny story how I have 81 of them: initially I had 66, then I also got another 19 making it a total of 85, then I got another 22 making it a total of 107, but then I lost 26 of them so eventually I am left with 81 of them now). I also have 81 honor mobiles (they are great). My cousin also has 14 chardonnay grapes. My friend also has 84 lemons. My father also has 3 shehnais. My brother also has 30 maracas. My mother also has 71 tecno mobiles. My father also has 94 riesling grapes. My cousin also has 5 electric violins. My cousin also has 31 samsung galaxy tab s10 mobiles. My father also has 48 huawei nova 12s mobiles. My brother also has 98 harps. What is the sum of the total number of mobiles and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:147", "request": "My grandmother has 46 cheetahs. I have 32 toyota tundra cars (feeling good about this). I also have 44 nissan rogue cars (it is a funny story how I have 44 of them: initially I had 58, then I also got another 67 making it a total of 125, then I got another 21 making it a total of 146, but then I lost 102 of them so eventually I am left with 44 of them now). My friend has 29 sazzes. I also have 2 narwhals (here is why I have these many: initially I had 81 of them, then I lost 63 of them, but then I got another 73 of them, but then I lost 89 of them, so at the end I am left with 2 of them). I also have 96 mbiras (it is a funny story how I have 96 of them: initially I had 17, then I also got another 71 making it a total of 88, then I got another 40 making it a total of 128, but then I lost 32 of them so eventually I am left with 96 of them now). My sister has 36 mazda2 cars. My friend also has 14 owls. I also have 34 sruti boxes (received them last month). My uncle has 73 nissan altima cars. I also have 61 nissan sentra cars (here is why I have these many: initially I had 69 of them, then I lost 64 of them, but then I got another 82 of them, but then I lost 26 of them, so at the end I am left with 61 of them). I also have 70 cats (here is why I have these many: initially I had 52 of them, then I lost 29 of them, but then I got another 63 of them, but then I lost 16 of them, so at the end I am left with 70 of them). My brother has 78 tesla model s cars. I also have 10 pipas (received them last week). I also have 32 xylophones (here is why I have these many: initially I had 95 of them, then I lost 61 of them, but then I got another 74 of them, but then I lost 76 of them, so at the end I am left with 32 of them). My father has 37 tamburas. I also have 11 mandolins (it is a funny story how I have 11 of them: initially I had 82, then I also got another 18 making it a total of 100, then I got another 61 making it a total of 161, but then I lost 150 of them so eventually I am left with 11 of them now). I also have 93 nissan titan cars (received them last month). I also have 29 marmots (here is why I have these many: initially I had 81 of them, then I lost 70 of them, but then I got another 58 of them, but then I lost 40 of them, so at the end I am left with 29 of them). I also have 41 jeep gladiator cars (it is a funny story how I have 41 of them: initially I had 89, then I also got another 83 making it a total of 172, then I got another 11 making it a total of 183, but then I lost 142 of them so eventually I am left with 41 of them now). I also have 41 shamisens (here is why I have these many: initially I had 52 of them, then I lost 32 of them, but then I got another 35 of them, but then I lost 14 of them, so at the end I am left with 41 of them). I also have 63 mazda6 cars (it is a funny story how I have 63 of them: initially I had 91, then I also got another 23 making it a total of 114, then I got another 73 making it a total of 187, but then I lost 124 of them so eventually I am left with 63 of them now). I also have 54 nissan maxima cars (I do not think I need this much). My mother has 52 iguanas. My brother also has 92 erhus. I also have 17 anteaters (received them yesterday). My aunt has 57 french horns. My grandfather has 92 mazda cx-70 cars. My brother also has 86 hyundai santa fe cars. I also have 18 mazda mx-30 cars (here is why I have these many: initially I had 87 of them, then I lost 68 of them, but then I got another 33 of them, but then I lost 34 of them, so at the end I am left with 18 of them). I also have 26 mazda cx-30 cars (here is why I have these many: initially I had 90 of them, then I lost 13 of them, but then I got another 14 of them, but then I lost 65 of them, so at the end I am left with 26 of them). I also have 36 nissan kicks cars (I really like them). I also have 85 audi a6 cars (I do not think I need this much). My grandfather also has 17 cod. My aunt also has 79 toyota tacoma cars. My cousin has 58 nissan armada cars. I also have 76 congas (here is why I have these many: initially I had 42 of them, then I lost 21 of them, but then I got another 90 of them, but then I lost 35 of them, so at the end I am left with 76 of them). I also have 4 clavichords (here is why I have these many: initially I had 69 of them, then I lost 56 of them, but then I got another 98 of them, but then I lost 107 of them, so at the end I am left with 4 of them). I also have 79 newts (here is why I have these many: initially I had 35 of them, then I lost 25 of them, but then I got another 76 of them, but then I lost 7 of them, so at the end I am left with 79 of them). My grandfather also has 8 whales. I also have 92 llamas (it is a funny story how I have 92 of them: initially I had 45, then I also got another 77 making it a total of 122, then I got another 47 making it a total of 169, but then I lost 77 of them so eventually I am left with 92 of them now). My mother also has 45 toads. I also have 4 macaws (here is why I have these many: initially I had 36 of them, then I lost 17 of them, but then I got another 23 of them, but then I lost 38 of them, so at the end I am left with 4 of them). My friend also has 84 garter snakes. I also have 93 subaru outback cars (here is why I have these many: initially I had 90 of them, then I lost 87 of them, but then I got another 96 of them, but then I lost 6 of them, so at the end I am left with 93 of them). I also have 2 violins (it is a funny story how I have 2 of them: initially I had 47, then I also got another 90 making it a total of 137, then I got another 99 making it a total of 236, but then I lost 234 of them so eventually I am left with 2 of them now). My grandfather also has 78 nissan ariya cars. I also have 34 electric cellos (thrilled to have these). My grandfather also has 55 timpanis. I also have 38 harps (here is why I have these many: initially I had 91 of them, then I lost 62 of them, but then I got another 66 of them, but then I lost 57 of them, so at the end I am left with 38 of them). My brother also has 18 ducks. My brother also has 85 sitars. My aunt also has 39 flutes. My cousin also has 33 kotoes. My brother also has 44 hyundai elantra cars. I also have 67 toyota camry cars (happt to have them). I also have 10 orangutans (feeling good about this). I also have 99 castanets (here is why I have these many: initially I had 14 of them, then I lost 10 of them, but then I got another 96 of them, but then I lost 1 of them, so at the end I am left with 99 of them). I also have 79 vibraphone, steelpans (received them last week). I also have 83 opossums (it is a funny story how I have 83 of them: initially I had 43, then I also got another 66 making it a total of 109, then I got another 16 making it a total of 125, but then I lost 42 of them so eventually I am left with 83 of them now). I also have 41 reindeer (here is why I have these many: initially I had 91 of them, then I lost 45 of them, but then I got another 62 of them, but then I lost 67 of them, so at the end I am left with 41 of them). My sister also has 37 tortoises. I also have 67 honda prologuq cars (thrilled to have these). My friend also has 1 honda cr-v cars. I also have 61 quails (here is why I have these many: initially I had 61 of them, then I lost 52 of them, but then I got another 100 of them, but then I lost 48 of them, so at the end I am left with 61 of them). My friend also has 50 n'gonis. My friend also has 83 banjoes. My aunt also has 27 shrews. I also have 19 crows (planning to have more in the future). My aunt also has 14 dodge challenger cars. I also have 72 trumpets (here is why I have these many: initially I had 95 of them, then I lost 61 of them, but then I got another 60 of them, but then I lost 22 of them, so at the end I am left with 72 of them). I also have 80 ford edge cars (I am in love with them). My uncle also has 43 hammered dulcimers. My friend also has 26 theremins. I also have 42 electric pianos (here is why I have these many: initially I had 87 of them, then I lost 69 of them, but then I got another 29 of them, but then I lost 5 of them, so at the end I am left with 42 of them). I also have 40 bagpipes (it is a funny story how I have 40 of them: initially I had 10, then I also got another 13 making it a total of 23, then I got another 28 making it a total of 51, but then I lost 11 of them so eventually I am left with 40 of them now). My sister also has 91 ouds. My grandfather also has 70 possums. My grandmother also has 15 electric bass. I also have 20 butterflys (feeling great about this). I also have 60 subaru ascent cars (thrilled to have these). My cousin also has 34 maracas. I also have 59 toyota prius cars (maybe I just need some of them). I also have 96 toyota corolla cars (I do not think I need this much). I also have 65 tigers (it is a funny story how I have 65 of them: initially I had 33, then I also got another 52 making it a total of 85, then I got another 65 making it a total of 150, but then I lost 85 of them so eventually I am left with 65 of them now). I also have 41 monkeys (it is a funny story how I have 41 of them: initially I had 55, then I also got another 71 making it a total of 126, then I got another 76 making it a total of 202, but then I lost 161 of them so eventually I am left with 41 of them now). My grandmother also has 84 nissan leaf cars. What is the absolute difference of the total number of animals/insects and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:150", "request": "My father has 8 iphone 16 mobiles. I have 98 honeydews (here is why I have these many: initially I had 85 of them, then I lost 50 of them, but then I got another 74 of them, but then I lost 11 of them, so at the end I am left with 98 of them). My grandfather has 72 samsung galaxy a55 mobiles. I also have 62 ginger gold apples (I am in love with them). My cousin has 87 merlot grapes. My aunt has 21 banjoes. My aunt also has 63 tamburas. My sister has 42 tanpuras. I also have 71 cellos (it is a funny story how I have 71 of them: initially I had 96, then I also got another 33 making it a total of 129, then I got another 65 making it a total of 194, but then I lost 123 of them so eventually I am left with 71 of them now). I also have 98 huawei pura 70 mobiles (I do not think I need this much). My father also has 54 trombones. My grandfather also has 24 oppo mobiles. I also have 67 electric bass (here is why I have these many: initially I had 44 of them, then I lost 17 of them, but then I got another 86 of them, but then I lost 46 of them, so at the end I am left with 67 of them). My cousin also has 41 blackberry mobiles. My cousin also has 16 nokia mobiles. I also have 93 electric violins (it is a funny story how I have 93 of them: initially I had 37, then I also got another 81 making it a total of 118, then I got another 93 making it a total of 211, but then I lost 118 of them so eventually I am left with 93 of them now). My brother has 42 huawei pura 70 pro+ mobiles. My cousin also has 76 nadaswarams. My father also has 98 peaches. I also have 13 honeycrisp apples (here is why I have these many: initially I had 46 of them, then I lost 38 of them, but then I got another 45 of them, but then I lost 40 of them, so at the end I am left with 13 of them). My grandmother has 71 lg mobiles. I also have 90 double bass (I really like them). My friend has 57 huawei nova 12s mobiles. My uncle has 86 castanets. I also have 51 guavas (it is a funny story how I have 51 of them: initially I had 19, then I also got another 57 making it a total of 76, then I got another 57 making it a total of 133, but then I lost 82 of them so eventually I am left with 51 of them now). I also have 54 samsung galaxy f05 mobiles (one day, I will have more of them). I also have 10 spartan apples (here is why I have these many: initially I had 45 of them, then I lost 25 of them, but then I got another 93 of them, but then I lost 103 of them, so at the end I am left with 10 of them). I also have 33 tambourines (I like these a lot). My friend also has 56 gala apples. My sister also has 65 flutes. I also have 37 iphone 6 mobiles (hope to have more in the future). My sister also has 85 huawei mate 70 mobiles. I also have 89 mangoes (I like these a lot). I also have 5 persimmons (very happy to have them). I also have 49 plantains (here is why I have these many: initially I had 23 of them, then I lost 19 of them, but then I got another 47 of them, but then I lost 2 of them, so at the end I am left with 49 of them). I also have 95 breadfruits (I am in love with them). My uncle also has 11 samsung galaxy a16 mobiles. I also have 81 cherrys (one day, I will have more of them). My grandfather also has 45 timpanis. I also have 22 syrah grapes (maybe I just need some of them). I also have 6 setars (it is a funny story how I have 6 of them: initially I had 53, then I also got another 15 making it a total of 68, then I got another 98 making it a total of 166, but then I lost 160 of them so eventually I am left with 6 of them now). My sister also has 30 quinces. My aunt also has 1 dulcimer. My cousin also has 78 huawei pura 70 ultra mobiles. My father also has 23 iphone 4 mobiles. My uncle also has 37 bananas. I also have 3 pink lady apples (I do not think I need this much). My grandfather also has 9 lychees. My aunt also has 30 clementinefigs. I also have 91 sitars (planning to have more in the future). I also have 50 blueberrys (one day, I will have more of them). I also have 90 jazz apples (it is a funny story how I have 90 of them: initially I had 96, then I also got another 27 making it a total of 123, then I got another 21 making it a total of 144, but then I lost 54 of them so eventually I am left with 90 of them now). I also have 97 watermelons (I like these a lot). My brother also has 42 dates. My brother also has 78 electric pianos. My grandfather also has 5 pianos. My grandmother also has 48 tecno mobiles. I also have 58 drums (it is a funny story how I have 58 of them: initially I had 94, then I also got another 55 making it a total of 149, then I got another 24 making it a total of 173, but then I lost 115 of them so eventually I am left with 58 of them now). I also have 7 mulberrys (happt to have them). My aunt also has 68 zte mobiles. My grandfather also has 20 iphone x mobiles. My grandmother also has 50 chardonnay grapes. My aunt also has 64 sruti boxes. My aunt also has 76 envy apples. My brother also has 97 bagpipes. My aunt also has 56 fuji apples. My father also has 85 saxophones. My mother has 45 organs. My grandmother also has 95 cotton candy grapes. My brother also has 13 iphone 12 mobiles. I also have 21 bongos (happt to have them). My cousin also has 96 samsung galaxy m55s mobiles. My uncle also has 1 iphone 15 mobiles. My brother also has 68 balafons. My grandmother also has 81 kazoos. My sister also has 22 samsung galaxy c55 mobiles. I also have 91 vibraphone, steelpans (feeling good about this). My grandfather also has 26 ocarinas. My uncle also has 94 honor mobiles. I also have 41 hammered dulcimers (it is a funny story how I have 41 of them: initially I had 49, then I also got another 86 making it a total of 135, then I got another 49 making it a total of 184, but then I lost 143 of them so eventually I am left with 41 of them now). My friend also has 49 bass guitars. What is the sum of the total number of mobiles and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:151", "request": "I have 93 envy apples (it is a funny story how I have 93 of them: initially I had 76, then I also got another 75 making it a total of 151, then I got another 52 making it a total of 203, but then I lost 110 of them so eventually I am left with 93 of them now). My sister has 30 saxophones. I also have 94 nissan pathfinder cars (received them last week). My cousin has 67 autoharps. I also have 21 ukuleles (I am in love with them). I also have 74 honda hr-v cars (it is a funny story how I have 74 of them: initially I had 29, then I also got another 35 making it a total of 64, then I got another 65 making it a total of 129, but then I lost 55 of them so eventually I am left with 74 of them now). I also have 20 jackfruits (received them yesterday). My sister also has 5 nissan armada cars. My grandmother has 37 gala apples. My grandfather has 38 synthesizer keyboards. I also have 99 maracas (it is a funny story how I have 99 of them: initially I had 44, then I also got another 40 making it a total of 84, then I got another 58 making it a total of 142, but then I lost 43 of them so eventually I am left with 99 of them now). My mother has 70 honda cr-z cars. My father has 95 apricots. I also have 28 clavichords (hope to have more in the future). I also have 84 nissan kicks cars (they are great). I also have 80 mazda cx-70 cars (I do not think I need this much). My friend has 81 guitars. I also have 55 papayas (here is why I have these many: initially I had 24 of them, then I lost 11 of them, but then I got another 74 of them, but then I lost 32 of them, so at the end I am left with 55 of them). My grandmother also has 87 tamburas. My friend also has 77 durians. I also have 19 syrah grapes (it is a funny story how I have 19 of them: initially I had 43, then I also got another 88 making it a total of 131, then I got another 35 making it a total of 166, but then I lost 147 of them so eventually I am left with 19 of them now). I also have 26 kalimbas (maybe I just need some of them). I also have 66 harmonicas (it is a funny story how I have 66 of them: initially I had 31, then I also got another 35 making it a total of 66, then I got another 100 making it a total of 166, but then I lost 100 of them so eventually I am left with 66 of them now). My friend also has 12 nissan ariya cars. My uncle has 80 raspberrys. I also have 96 mazda cx-90 cars (I really like them). I also have 49 riesling grapes (it is a funny story how I have 49 of them: initially I had 94, then I also got another 96 making it a total of 190, then I got another 48 making it a total of 238, but then I lost 189 of them so eventually I am left with 49 of them now). I also have 83 pineapples (it is a funny story how I have 83 of them: initially I had 34, then I also got another 93 making it a total of 127, then I got another 12 making it a total of 139, but then I lost 56 of them so eventually I am left with 83 of them now). My friend also has 80 lychees. My uncle also has 52 ambrosia apples. My sister also has 82 ouds. I also have 17 mazda cx-30 cars (hope to have more in the future). My cousin also has 79 electric drums. My uncle also has 56 cranberrys. I also have 65 honda passport cars (I am in love with them). I also have 31 balafons (very happy to have them). I also have 37 tars (maybe I just need some of them). I also have 74 trumpets (received them last week). My uncle also has 27 mazda cx-3 cars. My friend also has 49 honda odyssey cars. My grandmother also has 30 mulberrys. I also have 64 chardonnay grapes (here is why I have these many: initially I had 42 of them, then I lost 33 of them, but then I got another 67 of them, but then I lost 12 of them, so at the end I am left with 64 of them). I also have 68 toyota rav4 cars (here is why I have these many: initially I had 50 of them, then I lost 28 of them, but then I got another 62 of them, but then I lost 16 of them, so at the end I am left with 68 of them). My uncle also has 51 panpipes. My uncle also has 1 guava. I also have 56 accordions (I really like them). My sister also has 42 toyota sienna cars. My mother also has 18 toyota 4runnertoyota sequoia cars. My brother has 33 subaru ascent cars. I also have 55 muscat grapes (they are great). My grandfather also has 5 oboes. I also have 96 nissan rogue cars (here is why I have these many: initially I had 70 of them, then I lost 13 of them, but then I got another 64 of them, but then I lost 25 of them, so at the end I am left with 96 of them). My father also has 71 nissan frintier cars. My grandfather also has 51 nissan murano cars. My uncle also has 59 honda element cars. I also have 25 double bass (one day, I will have more of them). My uncle also has 55 bananas. My uncle also has 50 coconuts. I also have 80 jazz apples (it is a funny story how I have 80 of them: initially I had 58, then I also got another 10 making it a total of 68, then I got another 35 making it a total of 103, but then I lost 23 of them so eventually I am left with 80 of them now). My grandfather also has 99 hammered dulcimers. I also have 80 pomegranates (planning to have more in the future). I also have 44 didgeridoos (one day, I will have more of them). I also have 49 peaches (it is a funny story how I have 49 of them: initially I had 99, then I also got another 33 making it a total of 132, then I got another 44 making it a total of 176, but then I lost 127 of them so eventually I am left with 49 of them now). My aunt has 5 zithers. My mother also has 12 bassoons. My brother also has 66 shehnais. I also have 43 watermelons (one day, I will have more of them). My grandmother also has 84 harps. My cousin also has 25 toyota camry cars. I also have 84 tesla model s cars (received them last month). My sister also has 90 audi a6 cars. My mother also has 75 biwas. My grandfather also has 70 plantains. I also have 30 mbiras (here is why I have these many: initially I had 41 of them, then I lost 23 of them, but then I got another 86 of them, but then I lost 74 of them, so at the end I am left with 30 of them). My uncle also has 14 jonagold apples. My uncle also has 71 trombones. I also have 84 grapefruits (received them last month). I also have 25 erhus (it is a funny story how I have 25 of them: initially I had 92, then I also got another 85 making it a total of 177, then I got another 85 making it a total of 262, but then I lost 237 of them so eventually I am left with 25 of them now). My uncle also has 70 nissan titan cars. I also have 61 hyundai santa fe cars (it is a funny story how I have 61 of them: initially I had 57, then I also got another 42 making it a total of 99, then I got another 66 making it a total of 165, but then I lost 104 of them so eventually I am left with 61 of them now). My grandmother also has 34 timpanis. My uncle also has 65 subaru impreza cars. My grandfather also has 20 pears. My friend also has 72 tambourines. I also have 19 honda prologuq cars (I really like them). My grandfather also has 88 subaru outback cars. My grandmother also has 55 electric bass. I also have 60 dodge challenger cars (here is why I have these many: initially I had 59 of them, then I lost 25 of them, but then I got another 65 of them, but then I lost 39 of them, so at the end I am left with 60 of them). My friend also has 22 honeycrisp apples. My uncle also has 6 blueberrys. I also have 35 elderberryoranges (it is a funny story how I have 35 of them: initially I had 30, then I also got another 26 making it a total of 56, then I got another 89 making it a total of 145, but then I lost 110 of them so eventually I am left with 35 of them now). My uncle also has 7 electric pianos. I also have 46 merlot grapes (I am in love with them). My uncle also has 18 plums. I also have 52 pipas (it is a funny story how I have 52 of them: initially I had 71, then I also got another 41 making it a total of 112, then I got another 81 making it a total of 193, but then I lost 141 of them so eventually I am left with 52 of them now). I also have 54 guzhengs (it is a funny story how I have 54 of them: initially I had 80, then I also got another 55 making it a total of 135, then I got another 56 making it a total of 191, but then I lost 137 of them so eventually I am left with 54 of them now). My brother also has 53 mazda cx-50 cars. My sister also has 76 toyota corolla cars. My mother also has 32 toyota highlander cars. My uncle also has 96 toyota tundra cars. I also have 78 setars (they are great). I also have 81 honda insight cars (received them yesterday). My mother also has 51 nectarines. My uncle also has 61 cellos. My cousin also has 53 kiwis. My uncle also has 70 pennywhistles. I also have 29 honda cr-v cars (here is why I have these many: initially I had 77 of them, then I lost 69 of them, but then I got another 67 of them, but then I lost 46 of them, so at the end I am left with 29 of them). I also have 65 toyota prius cars (feeling good about this). I also have 12 electric violins (it is a funny story how I have 12 of them: initially I had 73, then I also got another 24 making it a total of 97, then I got another 45 making it a total of 142, but then I lost 130 of them so eventually I am left with 12 of them now). My brother also has 87 mazda2 cars. My father also has 60 nissan maxima cars. My aunt also has 72 mazda6 cars. My uncle also has 69 violins. I also have 8 drums (happt to have them). My friend also has 63 honda accord cars. I also have 86 honda civic cars (here is why I have these many: initially I had 50 of them, then I lost 36 of them, but then I got another 99 of them, but then I lost 27 of them, so at the end I am left with 86 of them). I also have 17 congas (it is a funny story how I have 17 of them: initially I had 14, then I also got another 49 making it a total of 63, then I got another 73 making it a total of 136, but then I lost 119 of them so eventually I am left with 17 of them now). My grandmother also has 69 honda pilot cars. My brother also has 6 pink lady apples. My father also has 22 mazda3 cars. My brother also has 62 ginger gold apples. What is the absolute difference of the total number of musical instruments and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:152", "request": "I have 52 falcons (feeling good about this). My sister has 48 pineapples. I also have 8 cranberrys (it is a funny story how I have 8 of them: initially I had 16, then I also got another 94 making it a total of 110, then I got another 49 making it a total of 159, but then I lost 151 of them so eventually I am left with 8 of them now). My father has 97 mallards. I also have 74 yaks (here is why I have these many: initially I had 100 of them, then I lost 25 of them, but then I got another 21 of them, but then I lost 22 of them, so at the end I am left with 74 of them). I also have 79 breadfruits (received them last month). My mother has 86 ravens. I also have 25 doves (maybe I just need some of them). My cousin has 70 pink lady apples. My uncle has 83 alpacas. My mother also has 35 nissan leaf cars. My sister also has 25 lemons. My aunt has 68 ginger gold apples. My cousin also has 74 durians. I also have 95 apricots (I do not think I need this much). I also have 15 spartan apples (they were given to me as a gift). My friend has 48 toyota tundra cars. My brother has 59 nissan rogue cars. I also have 25 guinea pigs (happt to have them). My cousin also has 6 honda hr-v cars. My brother also has 50 seals. My aunt also has 85 subaru ascent cars. My uncle also has 84 fish. My brother also has 97 nissan titan cars. My brother also has 98 canarys. My sister also has 36 mangoes. I also have 37 tesla model s cars (here is why I have these many: initially I had 48 of them, then I lost 31 of them, but then I got another 92 of them, but then I lost 72 of them, so at the end I am left with 37 of them). I also have 85 cantaloupes (here is why I have these many: initially I had 28 of them, then I lost 25 of them, but then I got another 91 of them, but then I lost 9 of them, so at the end I am left with 85 of them). I also have 61 soursops (happt to have them). My uncle also has 76 honda prologuq cars. My aunt also has 18 mazda cx-80 cars. I also have 15 ants (received them last week). I also have 68 rhinoceros (thrilled to have these). My grandmother has 33 monkeys. My cousin also has 21 hens. My mother also has 24 hamsters. I also have 97 seahorses (here is why I have these many: initially I had 57 of them, then I lost 23 of them, but then I got another 64 of them, but then I lost 1 of them, so at the end I am left with 97 of them). My brother also has 94 pears. My aunt also has 2 lychees. My grandmother also has 96 snails. I also have 18 prairie dogs (it is a funny story how I have 18 of them: initially I had 77, then I also got another 52 making it a total of 129, then I got another 45 making it a total of 174, but then I lost 156 of them so eventually I am left with 18 of them now). My grandmother also has 62 nebbiolo grapes. My grandmother also has 87 starfruits. My brother also has 89 black rat snakes. I also have 4 dragonfruits (hope to have more in the future). My uncle also has 65 peaches. I also have 98 blueberrys (here is why I have these many: initially I had 45 of them, then I lost 17 of them, but then I got another 83 of them, but then I lost 13 of them, so at the end I am left with 98 of them). I also have 82 hedgehogs (happt to have them). I also have 40 mazda3 cars (planning to have more in the future). My cousin also has 71 ambrosia apples. My friend also has 6 vultures. My sister also has 66 mazda cx-90 cars. My friend also has 92 riesling grapes. My grandmother also has 48 antelopes. My sister also has 69 hyenas. I also have 55 flys (happt to have them). My father also has 71 grapefruits. I also have 91 eagles (here is why I have these many: initially I had 17 of them, then I lost 14 of them, but then I got another 89 of them, but then I lost 1 of them, so at the end I am left with 91 of them). My brother also has 38 jazz apples. My uncle also has 73 chardonnay grapes. My brother also has 1 wasp. My aunt also has 23 sloths. I also have 59 toyota c-hr cars (maybe I just need some of them). I also have 2 wolves (here is why I have these many: initially I had 28 of them, then I lost 24 of them, but then I got another 90 of them, but then I lost 92 of them, so at the end I am left with 2 of them). I also have 6 quinces (it is a funny story how I have 6 of them: initially I had 97, then I also got another 33 making it a total of 130, then I got another 38 making it a total of 168, but then I lost 162 of them so eventually I am left with 6 of them now). I also have 43 cotton candy grapes (very happy to have them). My father also has 14 badgers. My grandmother also has 99 coconuts. My brother also has 78 toyota avalon cars. My grandfather has 84 quails. I also have 22 rabbits (they were given to me as a gift). My grandmother also has 79 macaws. I also have 35 strawberrys (they were given to me as a gift). I also have 87 nissan maxima cars (it is a funny story how I have 87 of them: initially I had 45, then I also got another 82 making it a total of 127, then I got another 33 making it a total of 160, but then I lost 73 of them so eventually I am left with 87 of them now). My friend also has 11 fuji apples. My grandfather also has 2 bears. My brother also has 62 pigeons. I also have 23 muscat grapes (it is a funny story how I have 23 of them: initially I had 74, then I also got another 33 making it a total of 107, then I got another 100 making it a total of 207, but then I lost 184 of them so eventually I am left with 23 of them now). My grandmother also has 5 plantains. I also have 17 gala apples (I like these a lot). My father also has 56 toyota tacoma cars. My sister also has 58 whales. My aunt also has 64 elderberryoranges. My aunt also has 62 mazda mx-30 cars. I also have 60 anteaters (it is a funny story how I have 60 of them: initially I had 96, then I also got another 73 making it a total of 169, then I got another 55 making it a total of 224, but then I lost 164 of them so eventually I am left with 60 of them now). I also have 19 mazda cx-5 cars (they are great). My grandmother also has 86 guavas. I also have 50 mazda6 cars (it is a funny story how I have 50 of them: initially I had 61, then I also got another 69 making it a total of 130, then I got another 74 making it a total of 204, but then I lost 154 of them so eventually I am left with 50 of them now). My friend also has 17 pomegranates. My father also has 83 mazda cx-30 cars. My grandfather also has 15 trout. My cousin also has 59 mazda cx-3 cars. My friend also has 68 tigers. My sister also has 18 honda cr-v cars. My friend also has 42 chickens. I also have 72 llamas (it is a funny story how I have 72 of them: initially I had 41, then I also got another 64 making it a total of 105, then I got another 20 making it a total of 125, but then I lost 53 of them so eventually I am left with 72 of them now). My grandmother also has 17 pigs. My father also has 88 nissan armada cars. I also have 83 mulberrys (here is why I have these many: initially I had 19 of them, then I lost 10 of them, but then I got another 88 of them, but then I lost 14 of them, so at the end I am left with 83 of them). My friend also has 53 mazda cx-50 cars. I also have 81 magpies (I am in love with them). My father also has 29 pinot noir grapes. My uncle also has 79 cheetahs. I also have 21 possums (very happy to have them). My sister also has 69 nissan kicks cars. My grandfather also has 47 rats. My grandmother also has 64 nissan murano cars. My aunt also has 79 owls. My sister also has 19 nissan sentra cars. I also have 14 salamanders (I do not think I need this much). I also have 58 envy apples (I do not think I need this much). I also have 4 chimpanzees (here is why I have these many: initially I had 21 of them, then I lost 10 of them, but then I got another 41 of them, but then I lost 48 of them, so at the end I am left with 4 of them). My friend also has 42 horses. My grandmother also has 44 nissan altima cars. My brother also has 23 apes. I also have 96 armadillos (happt to have them). I also have 50 honda cr-z cars (it is a funny story how I have 50 of them: initially I had 50, then I also got another 78 making it a total of 128, then I got another 48 making it a total of 176, but then I lost 126 of them so eventually I am left with 50 of them now). I also have 45 tortoises (here is why I have these many: initially I had 74 of them, then I lost 23 of them, but then I got another 72 of them, but then I lost 78 of them, so at the end I am left with 45 of them). I also have 64 ford edge cars (they were given to me as a gift). My grandmother also has 48 honda pilot cars. My sister also has 90 boa snakes. My cousin also has 38 toyota highlander cars. I also have 17 cod (it is a funny story how I have 17 of them: initially I had 87, then I also got another 77 making it a total of 164, then I got another 100 making it a total of 264, but then I lost 247 of them so eventually I am left with 17 of them now). I also have 51 kingsnakes (very happy to have them). My brother also has 61 honeycrisp apples. I also have 13 rattlesnakes (received them yesterday). My grandmother also has 37 sheep. I also have 1 lizard (it is a funny story how I have 1 of them: initially I had 32, then I also got another 56 making it a total of 88, then I got another 15 making it a total of 103, but then I lost 102 of them so eventually I am left with 1 of them now). What is the sum of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:153", "request": "I have 42 bansuris (here is why I have these many: initially I had 99 of them, then I lost 29 of them, but then I got another 54 of them, but then I lost 82 of them, so at the end I am left with 42 of them). My uncle has 88 electric cellos. My grandfather has 11 bass guitars. I also have 7 toyota c-hr cars (it is a funny story how I have 7 of them: initially I had 97, then I also got another 68 making it a total of 165, then I got another 13 making it a total of 178, but then I lost 171 of them so eventually I am left with 7 of them now). My grandmother has 46 theremins. My sister has 88 tambourines. My aunt has 74 xylophones. My uncle also has 40 marimbas. My aunt also has 66 bananas. I also have 99 chardonnay grapes (here is why I have these many: initially I had 25 of them, then I lost 22 of them, but then I got another 100 of them, but then I lost 4 of them, so at the end I am left with 99 of them). My mother has 7 shehnais. My sister also has 7 honda pilot cars. I also have 12 nissan pathfinder cars (they were given to me as a gift). My friend has 81 rababs. My father has 90 mazda mx-30 cars. My father also has 58 toyota rav4 cars. My friend also has 47 nebbiolo grapes. My sister also has 90 jackfruits. I also have 23 toyota camry cars (received them last month). My aunt also has 14 elderberryoranges. I also have 4 grenache grapes (hope to have more in the future). My grandfather also has 66 honda odyssey cars. I also have 80 recorders (hope to have more in the future). I also have 85 castanets (it is a funny story how I have 85 of them: initially I had 85, then I also got another 26 making it a total of 111, then I got another 63 making it a total of 174, but then I lost 89 of them so eventually I am left with 85 of them now). My cousin has 2 grapefruits. I also have 30 lutes (hope to have more in the future). My mother also has 28 muscat grapes. My aunt also has 73 autumn royal grapes. My father also has 41 biwas. My uncle also has 12 harps. My aunt also has 35 pineapples. My friend also has 52 dragonfruits. My uncle also has 72 panpipes. My cousin also has 31 apricots. My cousin also has 63 electric drums. I also have 46 electric pianos (feeling good about this). I also have 88 honda insight cars (here is why I have these many: initially I had 46 of them, then I lost 27 of them, but then I got another 89 of them, but then I lost 20 of them, so at the end I am left with 88 of them). My uncle also has 3 tars. I also have 60 hammered dulcimers (received them last month). My cousin also has 52 honeycrisp apples. I also have 44 tesla model s cars (thrilled to have these). My aunt also has 76 autoharps. I also have 88 pinot noir grapes (it is a funny story how I have 88 of them: initially I had 22, then I also got another 53 making it a total of 75, then I got another 34 making it a total of 109, but then I lost 21 of them so eventually I am left with 88 of them now). My cousin also has 42 nissan titan cars. I also have 48 mazda cx-90 cars (here is why I have these many: initially I had 14 of them, then I lost 12 of them, but then I got another 60 of them, but then I lost 14 of them, so at the end I am left with 48 of them). I also have 19 starfruits (it is a funny story how I have 19 of them: initially I had 56, then I also got another 69 making it a total of 125, then I got another 67 making it a total of 192, but then I lost 173 of them so eventually I am left with 19 of them now). I also have 22 kia niro cars (it is a funny story how I have 22 of them: initially I had 30, then I also got another 91 making it a total of 121, then I got another 56 making it a total of 177, but then I lost 155 of them so eventually I am left with 22 of them now). My mother also has 3 jeep gladiator cars. My uncle also has 25 nectarines. My uncle also has 25 ford edge cars. My aunt also has 89 guavas. I also have 52 double bass (they were given to me as a gift). I also have 67 nissan frintier cars (I really like them). I also have 75 clarinets (it is a funny story how I have 75 of them: initially I had 79, then I also got another 82 making it a total of 161, then I got another 58 making it a total of 219, but then I lost 144 of them so eventually I am left with 75 of them now). My friend also has 20 dates. I also have 67 kazoos (received them last month). I also have 29 ocarinas (here is why I have these many: initially I had 41 of them, then I lost 31 of them, but then I got another 81 of them, but then I lost 62 of them, so at the end I am left with 29 of them). My grandfather also has 15 electric guitars. I also have 20 subaru outback cars (received them last week). I also have 29 french horns (it is a funny story how I have 29 of them: initially I had 50, then I also got another 37 making it a total of 87, then I got another 99 making it a total of 186, but then I lost 157 of them so eventually I am left with 29 of them now). My mother also has 37 coconuts. I also have 3 cantaloupes (planning to have more in the future). My sister also has 39 buick enclave cars. My grandmother also has 57 shamisens. I also have 80 honeydews (thrilled to have these). My mother also has 93 plantains. My grandfather also has 58 toyota corolla cars. My grandfather also has 95 quinces. I also have 28 bongos (I really like them). My cousin also has 95 peaches. My grandfather also has 67 jonagold apples. My brother has 66 pipas. My brother also has 10 drums. I also have 53 guitars (I do not think I need this much). My aunt also has 58 strawberrys. My father also has 96 mazda cx-30 cars. My mother also has 58 toyota tacoma cars. My father also has 85 cellos. My mother also has 15 ambrosia apples. My aunt also has 68 mazda6 cars. My uncle also has 95 timpanis. My brother also has 58 zithers. I also have 90 lemons (happt to have them). I also have 92 honda cr-z cars (here is why I have these many: initially I had 57 of them, then I lost 26 of them, but then I got another 62 of them, but then I lost 1 of them, so at the end I am left with 92 of them). My grandmother also has 31 toyota sienna cars. My father also has 50 honda cr-v cars. My aunt also has 95 mazda cx-5 cars. I also have 14 harpsichords (hope to have more in the future). My aunt also has 27 soursops. My friend also has 93 blueberrys. What is the sum of the total number of cars and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:154", "request": "My father has 80 mazda cx-70 cars. I have 41 toyota prius cars (one day, I will have more of them). I also have 38 syrah grapes (received them last week). My friend has 33 honda hr-v cars. My grandfather has 89 chardonnay grapes. I also have 86 honda civic cars (it is a funny story how I have 86 of them: initially I had 83, then I also got another 80 making it a total of 163, then I got another 96 making it a total of 259, but then I lost 173 of them so eventually I am left with 86 of them now). I also have 77 hawks (I really like them). My aunt has 8 sharks. My aunt also has 1 lemur. My grandfather also has 76 clementinefigs. I also have 15 skunks (here is why I have these many: initially I had 92 of them, then I lost 17 of them, but then I got another 56 of them, but then I lost 116 of them, so at the end I am left with 15 of them). My uncle has 3 apes. My father also has 33 salamanders. I also have 6 butterflys (here is why I have these many: initially I had 92 of them, then I lost 79 of them, but then I got another 28 of them, but then I lost 35 of them, so at the end I am left with 6 of them). I also have 67 pink lady apples (hope to have more in the future). I also have 87 nebbiolo grapes (I really like them). My uncle also has 58 elephants. My brother has 11 honeydews. My grandfather also has 79 mazda cx-5 cars. My uncle also has 89 grenache grapes. My uncle also has 82 lions. My mother has 71 mice. I also have 73 pigeons (I do not think I need this much). My mother also has 71 mazda mx-30 cars. My friend also has 61 marmots. My mother also has 43 nectarines. My uncle also has 86 pears. I also have 2 papayas (I like these a lot). My sister has 7 cockroaches. I also have 54 muscat grapes (received them last week). My friend also has 84 coconuts. My aunt also has 73 mazda cx-80 cars. My friend also has 55 armadillos. My aunt also has 74 mazda cx-3 cars. My mother also has 26 mules. My uncle also has 35 nissan titan cars. I also have 73 honda prologuq cars (they were given to me as a gift). I also have 20 camels (it is a funny story how I have 20 of them: initially I had 97, then I also got another 85 making it a total of 182, then I got another 39 making it a total of 221, but then I lost 201 of them so eventually I am left with 20 of them now). I also have 77 cotton candy grapes (they were given to me as a gift). My mother also has 46 cats. My sister also has 71 mazda3 cars. I also have 90 honda element cars (they were given to me as a gift). I also have 54 honda pilot cars (it is a funny story how I have 54 of them: initially I had 38, then I also got another 62 making it a total of 100, then I got another 17 making it a total of 117, but then I lost 63 of them so eventually I am left with 54 of them now). I also have 54 toyota camry cars (planning to have more in the future). My mother also has 80 jeep gladiator cars. I also have 19 chameleons (received them yesterday). My friend also has 28 durians. My friend also has 34 macaws. My sister also has 23 envy apples. I also have 6 buick enclave cars (it is a funny story how I have 6 of them: initially I had 93, then I also got another 83 making it a total of 176, then I got another 59 making it a total of 235, but then I lost 229 of them so eventually I am left with 6 of them now). My brother also has 3 yaks. My grandmother has 66 raccoons. My mother also has 37 badgers. My sister also has 11 dodge challenger cars. I also have 28 lemons (feeling good about this). I also have 90 chimpanzees (here is why I have these many: initially I had 65 of them, then I lost 15 of them, but then I got another 59 of them, but then I lost 19 of them, so at the end I am left with 90 of them). My grandfather also has 20 king cobra snakes. My friend also has 75 anteaters. I also have 37 alligators (feeling great about this). I also have 57 cattles (here is why I have these many: initially I had 17 of them, then I lost 11 of them, but then I got another 100 of them, but then I lost 49 of them, so at the end I am left with 57 of them). My uncle also has 21 whales. My cousin has 12 nissan kicks cars. My uncle also has 24 mangoes. My cousin also has 6 quails. I also have 78 bananas (it is a funny story how I have 78 of them: initially I had 69, then I also got another 71 making it a total of 140, then I got another 21 making it a total of 161, but then I lost 83 of them so eventually I am left with 78 of them now). My sister also has 88 alpacas. My brother also has 38 toyota avalon cars. I also have 48 pandas (it is a funny story how I have 48 of them: initially I had 90, then I also got another 97 making it a total of 187, then I got another 77 making it a total of 264, but then I lost 216 of them so eventually I am left with 48 of them now). I also have 10 nissan maxima cars (here is why I have these many: initially I had 47 of them, then I lost 44 of them, but then I got another 32 of them, but then I lost 25 of them, so at the end I am left with 10 of them). I also have 40 boars (here is why I have these many: initially I had 60 of them, then I lost 29 of them, but then I got another 38 of them, but then I lost 29 of them, so at the end I am left with 40 of them). I also have 97 toyota c-hr cars (I like these a lot). My sister also has 62 subaru ascent cars. My uncle also has 59 kiwis. I also have 99 ford edge cars (here is why I have these many: initially I had 51 of them, then I lost 25 of them, but then I got another 79 of them, but then I lost 6 of them, so at the end I am left with 99 of them). I also have 10 jackfruits (it is a funny story how I have 10 of them: initially I had 23, then I also got another 68 making it a total of 91, then I got another 62 making it a total of 153, but then I lost 143 of them so eventually I am left with 10 of them now). My aunt also has 59 mazda cx-50 cars. I also have 19 honda cr-z cars (they were given to me as a gift). My uncle also has 96 giraffes. My father also has 77 mazda cx-90 cars. I also have 15 sheep (they are great). I also have 73 riesling grapes (received them last month). My cousin also has 33 toyota tacoma cars. My cousin also has 40 viper snakes. I also have 38 dolphins (here is why I have these many: initially I had 76 of them, then I lost 56 of them, but then I got another 99 of them, but then I lost 81 of them, so at the end I am left with 38 of them). What is the absolute difference of the total number of fruits and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:155", "request": "I have 10 iphone 15 mobiles (they were given to me as a gift). My friend has 27 gala apples. My grandfather has 7 starfruits. I also have 41 mandolins (here is why I have these many: initially I had 76 of them, then I lost 71 of them, but then I got another 47 of them, but then I lost 11 of them, so at the end I am left with 41 of them). I also have 23 flutes (I like these a lot). My sister has 42 accordions. My aunt has 89 rababs. My father has 31 papayas. My sister also has 44 samsung galaxy s24 mobiles. My grandmother has 59 huawei pura 70 pro mobiles. My aunt also has 21 pomegranates. My father also has 32 iphone 12 mobiles. I also have 96 oboes (here is why I have these many: initially I had 44 of them, then I lost 11 of them, but then I got another 64 of them, but then I lost 1 of them, so at the end I am left with 96 of them). I also have 44 plantains (I really like them). I also have 41 jazz apples (it is a funny story how I have 41 of them: initially I had 92, then I also got another 83 making it a total of 175, then I got another 57 making it a total of 232, but then I lost 191 of them so eventually I am left with 41 of them now). My grandmother also has 26 pinot noir grapes. My cousin has 3 samsung galaxy c55 mobiles. My cousin also has 32 kalimbas. My cousin also has 63 samsung galaxy m55s mobiles. My grandfather also has 28 nebbiolo grapes. I also have 95 ukuleles (it is a funny story how I have 95 of them: initially I had 91, then I also got another 19 making it a total of 110, then I got another 40 making it a total of 150, but then I lost 55 of them so eventually I am left with 95 of them now). My mother has 62 tablas. My father also has 71 mbiras. I also have 67 iphone 13 mobiles (here is why I have these many: initially I had 71 of them, then I lost 58 of them, but then I got another 82 of them, but then I lost 28 of them, so at the end I am left with 67 of them). My grandfather also has 35 mulberrys. I also have 96 xylophones (one day, I will have more of them). I also have 43 pink lady apples (I am in love with them). My grandfather also has 65 sazzes. I also have 93 grenache grapes (very happy to have them). My mother also has 38 drums. I also have 4 biwas (it is a funny story how I have 4 of them: initially I had 60, then I also got another 48 making it a total of 108, then I got another 66 making it a total of 174, but then I lost 170 of them so eventually I am left with 4 of them now). My friend also has 16 huawei pura 70 mobiles. My cousin also has 65 dates. My uncle has 43 didgeridoos. I also have 37 bass guitars (it is a funny story how I have 37 of them: initially I had 11, then I also got another 65 making it a total of 76, then I got another 74 making it a total of 150, but then I lost 113 of them so eventually I am left with 37 of them now). My cousin also has 95 electric cellos. My mother also has 13 breadfruits. I also have 12 tecno mobiles (it is a funny story how I have 12 of them: initially I had 45, then I also got another 31 making it a total of 76, then I got another 21 making it a total of 97, but then I lost 85 of them so eventually I am left with 12 of them now). My brother has 15 bongos. I also have 55 huawei nova 11 se mobiles (received them last month). My grandfather also has 68 meizu mobiles. My mother also has 46 guavas. My father also has 64 spartan apples. My cousin also has 7 plums. My friend also has 92 samsung galaxy z fold5 mobiles. I also have 59 samsung galaxy a35 mobiles (I am in love with them). I also have 64 bouzoukis (feeling good about this). I also have 99 sitars (hope to have more in the future). I also have 61 mangoes (here is why I have these many: initially I had 98 of them, then I lost 71 of them, but then I got another 83 of them, but then I lost 49 of them, so at the end I am left with 61 of them). My grandmother also has 33 harpsichords. My cousin also has 46 jackfruits. I also have 57 iphone x mobiles (feeling great about this). My brother also has 17 marimbas. My sister also has 15 electric bass. I also have 75 organs (it is a funny story how I have 75 of them: initially I had 53, then I also got another 35 making it a total of 88, then I got another 59 making it a total of 147, but then I lost 72 of them so eventually I am left with 75 of them now). I also have 73 sony mobiles (hope to have more in the future). I also have 41 electric pianos (thrilled to have these). My friend also has 45 tanpuras. My grandmother also has 4 erhus. I also have 48 huawei nova 13 mobiles (I like these a lot). I also have 69 pianos (I really like them). I also have 78 soursops (received them last week). My grandfather also has 76 huawei mate x6 mobiles. I also have 85 rebecs (here is why I have these many: initially I had 80 of them, then I lost 29 of them, but then I got another 88 of them, but then I lost 54 of them, so at the end I am left with 85 of them). My grandfather also has 55 castanets. I also have 55 chardonnay grapes (it is a funny story how I have 55 of them: initially I had 52, then I also got another 64 making it a total of 116, then I got another 100 making it a total of 216, but then I lost 161 of them so eventually I am left with 55 of them now). I also have 59 dragonfruits (here is why I have these many: initially I had 15 of them, then I lost 14 of them, but then I got another 59 of them, but then I lost 1 of them, so at the end I am left with 59 of them). My sister also has 81 watermelons. My grandfather also has 68 htc mobiles. I also have 36 envy apples (it is a funny story how I have 36 of them: initially I had 72, then I also got another 10 making it a total of 82, then I got another 82 making it a total of 164, but then I lost 128 of them so eventually I am left with 36 of them now). I also have 85 ocarinas (thrilled to have these). I also have 45 cotton candy grapes (here is why I have these many: initially I had 31 of them, then I lost 23 of them, but then I got another 40 of them, but then I lost 3 of them, so at the end I am left with 45 of them). My cousin also has 37 iphone 11 mobiles. I also have 46 cellos (here is why I have these many: initially I had 59 of them, then I lost 43 of them, but then I got another 62 of them, but then I lost 32 of them, so at the end I am left with 46 of them). My brother also has 78 xiaomi mobiles. I also have 27 samsung galaxy a16 mobiles (very happy to have them). My grandfather also has 52 samsung galaxy f05 mobiles. I also have 52 kotoes (received them last week). I also have 21 panpipes (maybe I just need some of them). I also have 22 autoharps (here is why I have these many: initially I had 50 of them, then I lost 18 of them, but then I got another 98 of them, but then I lost 108 of them, so at the end I am left with 22 of them). I also have 48 maracas (received them yesterday). I also have 70 samsung galaxy tab s10 mobiles (happt to have them). My grandfather also has 77 pears. My uncle also has 22 huawei nova 12s mobiles. My grandmother also has 9 elderberryoranges. My father also has 49 iphone 6 mobiles. I also have 80 riesling grapes (feeling great about this). My sister also has 29 infinix mobiles. What is the absolute difference of the total number of fruits and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:157", "request": "My father has 53 pandas. I have 63 viper snakes (here is why I have these many: initially I had 71 of them, then I lost 52 of them, but then I got another 48 of them, but then I lost 4 of them, so at the end I am left with 63 of them). My grandfather has 81 pigs. My grandmother has 81 congas. I also have 10 nebbiolo grapes (I do not think I need this much). My father also has 37 xylophones. My aunt has 57 fuji apples. My uncle has 27 raspberrys. I also have 57 quinces (here is why I have these many: initially I had 89 of them, then I lost 36 of them, but then I got another 19 of them, but then I lost 15 of them, so at the end I am left with 57 of them). My aunt also has 36 canarys. I also have 72 n'gonis (received them yesterday). My brother has 91 electric bass. My uncle also has 73 guinea pigs. I also have 4 gorillas (maybe I just need some of them). I also have 2 trumpets (here is why I have these many: initially I had 72 of them, then I lost 31 of them, but then I got another 43 of them, but then I lost 82 of them, so at the end I am left with 2 of them). My brother also has 36 oboes. My grandmother also has 95 crabs. I also have 98 accordions (I really like them). My grandfather also has 78 pinot noir grapes. I also have 44 macaws (here is why I have these many: initially I had 90 of them, then I lost 53 of them, but then I got another 75 of them, but then I lost 68 of them, so at the end I am left with 44 of them). My sister has 10 syrah grapes. My father also has 78 pink lady apples. I also have 11 guavas (thrilled to have these). I also have 37 pipas (I really like them). My mother has 59 castanets. I also have 21 zithers (I do not think I need this much). I also have 15 durians (feeling good about this). I also have 68 komodo dragons (it is a funny story how I have 68 of them: initially I had 76, then I also got another 37 making it a total of 113, then I got another 95 making it a total of 208, but then I lost 140 of them so eventually I am left with 68 of them now). I also have 8 flys (feeling great about this). My grandfather also has 20 bagpipes. I also have 14 kiwis (feeling great about this). I also have 62 bisons (they were given to me as a gift). My father also has 10 electric pianos. I also have 41 chameleons (here is why I have these many: initially I had 98 of them, then I lost 93 of them, but then I got another 87 of them, but then I lost 51 of them, so at the end I am left with 41 of them). My grandfather also has 34 theremins. My cousin has 62 rattlesnakes. I also have 69 mulberrys (here is why I have these many: initially I had 68 of them, then I lost 38 of them, but then I got another 59 of them, but then I lost 20 of them, so at the end I am left with 69 of them). I also have 51 djembes (happt to have them). My grandfather also has 10 tablas. My grandfather also has 73 clementinefigs. I also have 82 bees (they were given to me as a gift). My uncle also has 4 baboons. I also have 33 mice (here is why I have these many: initially I had 46 of them, then I lost 22 of them, but then I got another 52 of them, but then I lost 43 of them, so at the end I am left with 33 of them). My uncle also has 17 geese. I also have 81 bassoons (hope to have more in the future). My brother also has 82 saxophones. My uncle also has 58 foxes. My friend has 6 opossums. I also have 99 nadaswarams (I really like them). I also have 62 biwas (planning to have more in the future). My friend also has 93 muscat grapes. I also have 67 hawks (I am in love with them). I also have 52 cotton candy grapes (here is why I have these many: initially I had 94 of them, then I lost 36 of them, but then I got another 25 of them, but then I lost 31 of them, so at the end I am left with 52 of them). I also have 90 maracas (hope to have more in the future). I also have 66 kalimbas (maybe I just need some of them). My friend also has 84 pianos. My father also has 83 dogs. My friend also has 36 cranes. My friend also has 1 timpani. My cousin also has 2 kotoes. My grandfather also has 17 bongos. My grandmother also has 59 cranberrys. My mother also has 33 ambrosia apples. I also have 69 octopus (here is why I have these many: initially I had 31 of them, then I lost 23 of them, but then I got another 71 of them, but then I lost 10 of them, so at the end I am left with 69 of them). My mother also has 53 lemons. I also have 44 didgeridoos (received them last week). I also have 24 plums (here is why I have these many: initially I had 74 of them, then I lost 15 of them, but then I got another 80 of them, but then I lost 115 of them, so at the end I am left with 24 of them). I also have 50 cherrys (here is why I have these many: initially I had 94 of them, then I lost 23 of them, but then I got another 22 of them, but then I lost 43 of them, so at the end I am left with 50 of them). My sister also has 6 jackfruits. I also have 65 buffaloes (happt to have them). I also have 18 panpipes (planning to have more in the future). I also have 84 flutes (here is why I have these many: initially I had 40 of them, then I lost 31 of them, but then I got another 92 of them, but then I lost 17 of them, so at the end I am left with 84 of them). My mother also has 69 organs. My friend also has 34 strawberrys. My friend also has 51 chardonnay grapes. My friend also has 76 pears. I also have 52 guzhengs (here is why I have these many: initially I had 26 of them, then I lost 12 of them, but then I got another 51 of them, but then I lost 13 of them, so at the end I am left with 52 of them). My sister also has 36 lions. I also have 7 penguins (I do not think I need this much). My cousin also has 26 butterflys. I also have 88 ladybugs (one day, I will have more of them). My cousin also has 70 leopards. I also have 44 emus (I am in love with them). My grandfather also has 40 sruti boxes. My brother also has 82 bananas. I also have 11 salamanders (they were given to me as a gift). My father also has 38 rhinoceros. My uncle also has 61 bass guitars. My grandfather also has 75 cantaloupes. My father also has 94 bears. My father also has 9 ponys. My brother also has 75 sloths. I also have 2 grapefruits (here is why I have these many: initially I had 50 of them, then I lost 30 of them, but then I got another 53 of them, but then I lost 71 of them, so at the end I am left with 2 of them). My grandfather also has 8 salmon. My grandmother also has 28 breadfruits. I also have 83 gala apples (thrilled to have these). My brother also has 92 ravens. I also have 22 cheetahs (here is why I have these many: initially I had 48 of them, then I lost 24 of them, but then I got another 18 of them, but then I lost 20 of them, so at the end I am left with 22 of them). My mother also has 79 mbiras. I also have 35 french horns (it is a funny story how I have 35 of them: initially I had 76, then I also got another 68 making it a total of 144, then I got another 49 making it a total of 193, but then I lost 158 of them so eventually I am left with 35 of them now). My friend also has 28 manatees. My aunt also has 36 mallards. My aunt also has 2 blueberrys. I also have 23 pennywhistles (it is a funny story how I have 23 of them: initially I had 37, then I also got another 98 making it a total of 135, then I got another 37 making it a total of 172, but then I lost 149 of them so eventually I am left with 23 of them now). My mother also has 8 elderberryoranges. My mother also has 87 seahorses. I also have 98 camels (it is a funny story how I have 98 of them: initially I had 55, then I also got another 84 making it a total of 139, then I got another 22 making it a total of 161, but then I lost 63 of them so eventually I am left with 98 of them now). My brother also has 51 lemurs. My brother also has 56 otters. I also have 28 glockenspiels (here is why I have these many: initially I had 57 of them, then I lost 45 of them, but then I got another 82 of them, but then I lost 66 of them, so at the end I am left with 28 of them). I also have 21 squirrels (maybe I just need some of them). My father also has 88 armadillos. My friend also has 73 mules. I also have 47 cod (thrilled to have these). I also have 61 banjoes (they were given to me as a gift). My uncle also has 45 whales. I also have 60 electric cellos (very happy to have them). My sister also has 18 coconuts. I also have 3 vibraphone, steelpans (here is why I have these many: initially I had 70 of them, then I lost 45 of them, but then I got another 33 of them, but then I lost 55 of them, so at the end I am left with 3 of them). My aunt also has 90 chimpanzees. My father also has 13 spartan apples. My father also has 89 jellyfish. I also have 89 dates (here is why I have these many: initially I had 84 of them, then I lost 35 of them, but then I got another 48 of them, but then I lost 8 of them, so at the end I am left with 89 of them). What is the absolute difference of the total number of fruits and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:160", "request": "My grandfather has 51 dates. My father has 55 honda insight cars. I have 11 tanpuras (here is why I have these many: initially I had 33 of them, then I lost 14 of them, but then I got another 44 of them, but then I lost 52 of them, so at the end I am left with 11 of them). I also have 12 harmonicas (planning to have more in the future). I also have 71 mulberrys (here is why I have these many: initially I had 35 of them, then I lost 16 of them, but then I got another 99 of them, but then I lost 47 of them, so at the end I am left with 71 of them). My brother has 99 marimbas. My mother has 6 spartan apples. I also have 59 honeycrisp apples (it is a funny story how I have 59 of them: initially I had 34, then I also got another 88 making it a total of 122, then I got another 16 making it a total of 138, but then I lost 79 of them so eventually I am left with 59 of them now). My father also has 79 pinot noir grapes. I also have 37 toyota avalon cars (they are great). My mother also has 36 gala apples. My grandmother has 36 pears. I also have 12 nissan kicks cars (it is a funny story how I have 12 of them: initially I had 16, then I also got another 71 making it a total of 87, then I got another 73 making it a total of 160, but then I lost 148 of them so eventually I am left with 12 of them now). I also have 84 peaches (I do not think I need this much). My brother also has 63 volkswagen golf cars. I also have 62 mazda cx-70 cars (it is a funny story how I have 62 of them: initially I had 23, then I also got another 10 making it a total of 33, then I got another 60 making it a total of 93, but then I lost 31 of them so eventually I am left with 62 of them now). My aunt has 41 sazzes. I also have 50 electric guitars (very happy to have them). My cousin has 6 hyundai santa fe cars. My father also has 24 ginger gold apples. I also have 38 envy apples (it is a funny story how I have 38 of them: initially I had 43, then I also got another 54 making it a total of 97, then I got another 37 making it a total of 134, but then I lost 96 of them so eventually I am left with 38 of them now). My sister has 28 muscat grapes. My mother also has 69 pomegranates. My brother also has 6 ford edge cars. My grandfather also has 43 jonagold apples. I also have 84 clarinets (it is a funny story how I have 84 of them: initially I had 44, then I also got another 39 making it a total of 83, then I got another 42 making it a total of 125, but then I lost 41 of them so eventually I am left with 84 of them now). My cousin also has 33 elderberryoranges. My father also has 80 clementinefigs. My mother also has 2 quinces. My uncle has 69 mazda cx-90 cars. My aunt also has 28 toyota highlander cars. My cousin also has 51 lutes. I also have 93 cantaloupes (I am in love with them). I also have 41 mazda6 cars (here is why I have these many: initially I had 18 of them, then I lost 14 of them, but then I got another 97 of them, but then I lost 60 of them, so at the end I am left with 41 of them). My aunt also has 45 kiwis. My mother also has 53 grenache grapes. I also have 51 jeep gladiator cars (happt to have them). I also have 74 honda cr-z cars (very happy to have them). My aunt also has 89 nissan armada cars. My brother also has 25 persimmons. I also have 15 honda element cars (happt to have them). My father also has 92 nissan altima cars. I also have 77 sitars (received them yesterday). My friend has 74 hammered dulcimers. My brother also has 26 harps. My friend also has 38 pianos. I also have 1 lychee (it is a funny story how I have 1 of them: initially I had 56, then I also got another 32 making it a total of 88, then I got another 70 making it a total of 158, but then I lost 157 of them so eventually I am left with 1 of them now). My grandmother also has 98 honda hr-v cars. I also have 27 bongos (maybe I just need some of them). My uncle also has 99 audi a6 cars. I also have 42 fuji apples (received them last week). My grandmother also has 71 mazda3 cars. I also have 11 strawberrys (here is why I have these many: initially I had 27 of them, then I lost 15 of them, but then I got another 49 of them, but then I lost 50 of them, so at the end I am left with 11 of them). My mother also has 7 nadaswarams. My father also has 91 nissan sentra cars. I also have 84 apricots (here is why I have these many: initially I had 58 of them, then I lost 43 of them, but then I got another 71 of them, but then I lost 2 of them, so at the end I am left with 84 of them). I also have 22 timpanis (here is why I have these many: initially I had 51 of them, then I lost 15 of them, but then I got another 69 of them, but then I lost 83 of them, so at the end I am left with 22 of them). I also have 10 jackfruits (maybe I just need some of them). My grandmother also has 33 nissan maxima cars. My father also has 24 lemons. I also have 11 bananas (hope to have more in the future). My aunt also has 22 mazda cx-5 cars. I also have 96 grapefruits (received them yesterday). My brother also has 15 cherrys. I also have 48 mazda cx-3 cars (very happy to have them). My mother also has 16 durians. My aunt also has 2 tamburas. My grandfather also has 75 mazda cx-30 cars. My sister also has 52 autumn royal grapes. My grandmother also has 35 panpipes. My friend also has 98 biwas. I also have 72 recorders (it is a funny story how I have 72 of them: initially I had 62, then I also got another 81 making it a total of 143, then I got another 83 making it a total of 226, but then I lost 154 of them so eventually I am left with 72 of them now). My cousin also has 51 mazda mx-30 cars. I also have 41 nissan titan cars (I do not think I need this much). My friend also has 5 trumpets. My mother also has 38 breadfruits. My sister also has 62 mangoes. I also have 4 honda prologuq cars (maybe I just need some of them). I also have 93 electric violins (received them last week). My brother also has 37 honda accord cars. My uncle also has 34 riesling grapes. My aunt also has 38 mazda2 cars. I also have 57 toyota 4runnertoyota sequoia cars (I really like them). I also have 9 ambrosia apples (it is a funny story how I have 9 of them: initially I had 52, then I also got another 99 making it a total of 151, then I got another 67 making it a total of 218, but then I lost 209 of them so eventually I am left with 9 of them now). I also have 6 honda passport cars (here is why I have these many: initially I had 28 of them, then I lost 15 of them, but then I got another 30 of them, but then I lost 37 of them, so at the end I am left with 6 of them). I also have 2 accordions (here is why I have these many: initially I had 31 of them, then I lost 17 of them, but then I got another 33 of them, but then I lost 45 of them, so at the end I am left with 2 of them). My aunt also has 55 zithers. I also have 98 syrah grapes (here is why I have these many: initially I had 55 of them, then I lost 16 of them, but then I got another 66 of them, but then I lost 7 of them, so at the end I am left with 98 of them). I also have 48 maracas (here is why I have these many: initially I had 93 of them, then I lost 50 of them, but then I got another 26 of them, but then I lost 21 of them, so at the end I am left with 48 of them). I also have 43 merlot grapes (it is a funny story how I have 43 of them: initially I had 97, then I also got another 45 making it a total of 142, then I got another 54 making it a total of 196, but then I lost 153 of them so eventually I am left with 43 of them now). What is the sum of the total number of cars and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:161", "request": "My grandmother has 72 iphone x mobiles. I have 72 plums (it is a funny story how I have 72 of them: initially I had 75, then I also got another 67 making it a total of 142, then I got another 39 making it a total of 181, but then I lost 109 of them so eventually I am left with 72 of them now). My sister has 91 samsung galaxy tab s10 mobiles. My brother has 24 pandas. I also have 71 cockroaches (feeling good about this). I also have 16 gala apples (here is why I have these many: initially I had 93 of them, then I lost 13 of them, but then I got another 33 of them, but then I lost 97 of them, so at the end I am left with 16 of them). My uncle has 35 pomegranates. I also have 93 pears (received them last week). I also have 46 iphone 6 mobiles (it is a funny story how I have 46 of them: initially I had 80, then I also got another 94 making it a total of 174, then I got another 94 making it a total of 268, but then I lost 222 of them so eventually I am left with 46 of them now). I also have 89 nokia mobiles (received them last week). My sister also has 70 kiwis. My cousin has 30 tecno mobiles. I also have 71 honeydews (received them last week). I also have 39 canarys (I really like them). My uncle also has 81 crocodiles. I also have 79 iphone 4 mobiles (one day, I will have more of them). My cousin also has 85 samsung galaxy s24 mobiles. I also have 29 goldfish (feeling great about this). My grandmother also has 22 alpacas. I also have 30 honor mobiles (it is a funny story how I have 30 of them: initially I had 49, then I also got another 96 making it a total of 145, then I got another 61 making it a total of 206, but then I lost 176 of them so eventually I am left with 30 of them now). I also have 5 rats (here is why I have these many: initially I had 68 of them, then I lost 48 of them, but then I got another 17 of them, but then I lost 32 of them, so at the end I am left with 5 of them). I also have 88 samsung galaxy z fold6 mobiles (here is why I have these many: initially I had 48 of them, then I lost 23 of them, but then I got another 83 of them, but then I lost 20 of them, so at the end I am left with 88 of them). I also have 26 dates (I do not think I need this much). My grandfather has 54 autumn royal grapes. I also have 76 pineapples (it is a funny story how I have 76 of them: initially I had 76, then I also got another 99 making it a total of 175, then I got another 20 making it a total of 195, but then I lost 119 of them so eventually I am left with 76 of them now). My friend has 83 cranes. My grandfather also has 75 peaches. My mother has 96 magpies. I also have 3 samsung galaxy a35 mobiles (here is why I have these many: initially I had 55 of them, then I lost 39 of them, but then I got another 36 of them, but then I lost 49 of them, so at the end I am left with 3 of them). I also have 38 cattles (here is why I have these many: initially I had 79 of them, then I lost 73 of them, but then I got another 78 of them, but then I lost 46 of them, so at the end I am left with 38 of them). My grandmother also has 62 viper snakes. I also have 90 tigers (feeling good about this). I also have 4 persimmons (planning to have more in the future). My grandmother also has 42 garter snakes. I also have 69 cotton candy grapes (it is a funny story how I have 69 of them: initially I had 62, then I also got another 67 making it a total of 129, then I got another 15 making it a total of 144, but then I lost 75 of them so eventually I am left with 69 of them now). I also have 69 huawei pura 70 mobiles (here is why I have these many: initially I had 22 of them, then I lost 10 of them, but then I got another 78 of them, but then I lost 21 of them, so at the end I am left with 69 of them). I also have 54 papayas (it is a funny story how I have 54 of them: initially I had 20, then I also got another 76 making it a total of 96, then I got another 26 making it a total of 122, but then I lost 68 of them so eventually I am left with 54 of them now). My aunt has 5 geese. My sister also has 20 riesling grapes. I also have 86 python snakes (one day, I will have more of them). My sister also has 20 camels. My brother also has 36 frogs. I also have 58 huawei pura 70 ultra mobiles (I really like them). I also have 50 cranberrys (hope to have more in the future). My mother also has 4 hyenas. My grandmother also has 77 huawei nova 13 mobiles. My sister also has 58 guavas. I also have 7 syrah grapes (feeling good about this). My aunt also has 15 toads. My sister also has 4 otters. My cousin also has 96 huawei nova 12 pro mobiles. My cousin also has 78 fuji apples. My uncle also has 31 sloths. My brother also has 88 iphone 13 mobiles. My grandfather also has 35 zebras. My grandfather also has 75 cobras. My mother also has 44 komodo dragons. My father has 21 jazz apples. My grandfather also has 78 iphone 14 mobiles. I also have 55 bats (I am in love with them). My cousin also has 77 honeycrisp apples. My grandmother also has 59 huawei pura 70 pro+ mobiles. My uncle also has 56 samsung galaxy a16 mobiles. I also have 66 samsung galaxy c55 mobiles (received them last week). My brother also has 99 durians. My uncle also has 28 octopus. I also have 70 crows (it is a funny story how I have 70 of them: initially I had 46, then I also got another 79 making it a total of 125, then I got another 45 making it a total of 170, but then I lost 100 of them so eventually I am left with 70 of them now). My father also has 37 huawei mate x6 mobiles. My aunt also has 68 ambrosia apples. My father also has 80 armadillos. My aunt also has 86 ginger gold apples. My brother also has 58 iphone 8 mobiles. I also have 41 cherrys (I really like them). I also have 96 mangoes (I do not think I need this much). My grandfather also has 48 king cobra snakes. I also have 7 blueberrys (feeling good about this). My mother also has 31 nebbiolo grapes. My aunt also has 25 quails. My grandfather also has 11 stingrays. My aunt also has 40 clementinefigs. My cousin also has 43 bananas. My mother also has 98 buffaloes. My sister also has 57 manatees. My mother also has 30 meizu mobiles. I also have 22 jackfruits (it is a funny story how I have 22 of them: initially I had 88, then I also got another 77 making it a total of 165, then I got another 49 making it a total of 214, but then I lost 192 of them so eventually I am left with 22 of them now). I also have 93 ferrets (feeling good about this). I also have 56 blackberry mobiles (very happy to have them). My brother also has 14 trout. My brother also has 95 oppo mobiles. I also have 91 albatross (thrilled to have these). My uncle also has 41 huawei nova 12i mobiles. I also have 26 cheetahs (it is a funny story how I have 26 of them: initially I had 59, then I also got another 92 making it a total of 151, then I got another 64 making it a total of 215, but then I lost 189 of them so eventually I am left with 26 of them now). I also have 71 pink lady apples (here is why I have these many: initially I had 73 of them, then I lost 67 of them, but then I got another 96 of them, but then I lost 31 of them, so at the end I am left with 71 of them). My grandmother also has 70 google (pixel) mobiles. I also have 20 skunks (it is a funny story how I have 20 of them: initially I had 28, then I also got another 11 making it a total of 39, then I got another 97 making it a total of 136, but then I lost 116 of them so eventually I am left with 20 of them now). I also have 75 huawei pura 70 pro mobiles (thrilled to have these). My grandmother also has 44 plantains. My friend also has 92 strawberrys. I also have 73 doves (I do not think I need this much). My uncle also has 95 deer. What is the sum of the total number of animals/insects and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:164", "request": "My aunt has 97 cockroaches. My sister has 83 chardonnay grapes. My grandmother has 50 canarys. My aunt also has 80 nissan kicks cars. My friend has 4 buick enclave cars. My sister also has 61 nissan pathfinder cars. I have 82 ambrosia apples (feeling great about this). My grandmother also has 40 guavas. My brother has 88 fuji apples. My mother has 9 ferrets. My friend also has 61 muscat grapes. I also have 69 pineapples (planning to have more in the future). My aunt also has 5 alpacas. My cousin has 11 pigeons. My brother also has 68 honda hr-v cars. My brother also has 2 blueberrys. My mother also has 97 dodge challenger cars. My friend also has 67 llamas. My grandfather has 16 tesla model s cars. My grandfather also has 5 nissan armada cars. My aunt also has 81 dates. My aunt also has 71 dogs. I also have 74 cherrys (received them last month). My grandfather also has 22 nissan murano cars. My friend also has 13 spartan apples. My cousin also has 57 anteaters. My uncle has 94 breadfruits. My aunt also has 85 camels. My mother also has 89 pears. My friend also has 90 mazda cx-80 cars. My cousin also has 25 honeycrisp apples. My uncle also has 22 toyota c-hr cars. My mother also has 95 riesling grapes. My cousin also has 59 subaru ascent cars. I also have 43 mazda6 cars (it is a funny story how I have 43 of them: initially I had 12, then I also got another 43 making it a total of 55, then I got another 44 making it a total of 99, but then I lost 56 of them so eventually I am left with 43 of them now). I also have 6 chimpanzees (thrilled to have these). I also have 78 manatees (they were given to me as a gift). My aunt also has 9 nissan sentra cars. I also have 43 plums (it is a funny story how I have 43 of them: initially I had 87, then I also got another 53 making it a total of 140, then I got another 85 making it a total of 225, but then I lost 182 of them so eventually I am left with 43 of them now). My father has 70 honda civic cars. My brother also has 39 jackfruits. My sister also has 5 walrus. My brother also has 57 toyota tacoma cars. My grandmother also has 67 tortoises. I also have 67 peaches (thrilled to have these). I also have 12 subaru impreza cars (here is why I have these many: initially I had 20 of them, then I lost 11 of them, but then I got another 62 of them, but then I lost 59 of them, so at the end I am left with 12 of them). I also have 36 persimmons (one day, I will have more of them). I also have 93 sheep (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 92 of them, but then I lost 1 of them, so at the end I am left with 93 of them). I also have 36 kiwis (it is a funny story how I have 36 of them: initially I had 36, then I also got another 15 making it a total of 51, then I got another 92 making it a total of 143, but then I lost 107 of them so eventually I am left with 36 of them now). My father also has 29 crows. I also have 14 corgis (they are great). My sister also has 26 honda cr-v cars. My cousin also has 31 nissan leaf cars. I also have 22 mazda2 cars (it is a funny story how I have 22 of them: initially I had 74, then I also got another 88 making it a total of 162, then I got another 94 making it a total of 256, but then I lost 234 of them so eventually I am left with 22 of them now). I also have 4 armadillos (they were given to me as a gift). My sister also has 71 apricots. I also have 84 watermelons (here is why I have these many: initially I had 88 of them, then I lost 52 of them, but then I got another 73 of them, but then I lost 25 of them, so at the end I am left with 84 of them). My grandfather also has 94 mazda cx-50 cars. My uncle also has 9 rhinoceros. My father also has 18 seals. My cousin also has 8 stingrays. My grandfather also has 25 otters. My aunt also has 97 foxes. I also have 7 monkeys (received them last month). My cousin also has 89 nissan altima cars. My uncle also has 98 marmots. My aunt also has 96 mazda3 cars. My grandmother also has 16 subaru outback cars. My cousin also has 48 orangutans. My mother also has 22 nissan maxima cars. My friend also has 56 mazda cx-70 cars. My friend also has 14 toyota corolla cars. My grandmother also has 32 flys. My brother also has 80 cheetahs. I also have 51 magpies (here is why I have these many: initially I had 64 of them, then I lost 21 of them, but then I got another 59 of them, but then I lost 51 of them, so at the end I am left with 51 of them). My cousin also has 63 hedgehogs. I also have 53 mazda cx-30 cars (here is why I have these many: initially I had 92 of them, then I lost 71 of them, but then I got another 71 of them, but then I lost 39 of them, so at the end I am left with 53 of them). I also have 56 flamingoes (I do not think I need this much). I also have 95 clementinefigs (very happy to have them). My grandmother also has 39 cotton candy grapes. I also have 90 nissan titan cars (here is why I have these many: initially I had 30 of them, then I lost 19 of them, but then I got another 82 of them, but then I lost 3 of them, so at the end I am left with 90 of them). I also have 74 doves (I am in love with them). My sister also has 68 nissan ariya cars. I also have 99 deer (I really like them). My grandmother also has 72 zebras. My friend also has 30 pomegranates. I also have 77 ducks (received them last month). I also have 29 toyota camry cars (received them yesterday). My sister also has 11 boars. I also have 38 elephants (here is why I have these many: initially I had 36 of them, then I lost 10 of them, but then I got another 95 of them, but then I lost 83 of them, so at the end I am left with 38 of them). I also have 5 honda cr-z cars (very happy to have them). My father also has 18 hyundai elantra cars. I also have 3 durians (here is why I have these many: initially I had 66 of them, then I lost 18 of them, but then I got another 100 of them, but then I lost 145 of them, so at the end I am left with 3 of them). I also have 97 mazda mx-30 cars (one day, I will have more of them). My aunt also has 70 envy apples. I also have 70 toyota tundra cars (it is a funny story how I have 70 of them: initially I had 80, then I also got another 26 making it a total of 106, then I got another 33 making it a total of 139, but then I lost 69 of them so eventually I am left with 70 of them now). I also have 85 mosquitoes (I like these a lot). My cousin also has 54 koalas. I also have 91 shrews (I do not think I need this much). My grandmother also has 68 cranes. I also have 21 honda pilot cars (it is a funny story how I have 21 of them: initially I had 35, then I also got another 35 making it a total of 70, then I got another 54 making it a total of 124, but then I lost 103 of them so eventually I am left with 21 of them now). I also have 13 mangoes (they were given to me as a gift). I also have 45 toyota 4runnertoyota sequoia cars (happt to have them). My aunt also has 64 gorillas. My brother also has 23 papayas. I also have 15 starfruits (they were given to me as a gift). My mother also has 68 cats. I also have 75 toyota sienna cars (here is why I have these many: initially I had 71 of them, then I lost 54 of them, but then I got another 97 of them, but then I lost 39 of them, so at the end I am left with 75 of them). I also have 99 baboons (it is a funny story how I have 99 of them: initially I had 32, then I also got another 30 making it a total of 62, then I got another 49 making it a total of 111, but then I lost 12 of them so eventually I am left with 99 of them now). My mother also has 48 honda prologuq cars. My father also has 6 narwhals. My grandfather also has 47 quinces. I also have 24 honda insight cars (maybe I just need some of them). My sister also has 11 nectarines. My grandfather also has 86 toyota prius cars. My cousin also has 59 komodo dragons. I also have 7 cranberrys (it is a funny story how I have 7 of them: initially I had 89, then I also got another 86 making it a total of 175, then I got another 22 making it a total of 197, but then I lost 190 of them so eventually I am left with 7 of them now). My grandfather also has 27 fish. My brother also has 83 opossums. My friend also has 79 gala apples. My sister also has 33 lizards. My friend also has 2 cod. My grandmother also has 51 honda passport cars. I also have 96 yaks (I really like them). I also have 52 impalas (it is a funny story how I have 52 of them: initially I had 27, then I also got another 57 making it a total of 84, then I got another 81 making it a total of 165, but then I lost 113 of them so eventually I am left with 52 of them now). My uncle also has 91 possums. My grandmother also has 69 mallards. My brother also has 48 dragonfruits. My grandmother also has 23 honeydews. What is the sum of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:165", "request": "My grandmother has 17 peaches. My uncle has 76 clementinefigs. My brother has 33 toyota 4runnertoyota sequoia cars. My grandfather has 51 watermelons. I have 77 toyota highlander cars (thrilled to have these). I also have 48 honda element cars (I like these a lot). I also have 68 coconuts (very happy to have them). My grandfather also has 49 jonagold apples. My sister has 70 mazda3 cars. I also have 85 setars (maybe I just need some of them). My uncle also has 20 harmonicas. I also have 4 pipas (maybe I just need some of them). I also have 87 tamburas (here is why I have these many: initially I had 68 of them, then I lost 48 of them, but then I got another 95 of them, but then I lost 28 of them, so at the end I am left with 87 of them). I also have 43 grenache grapes (I really like them). My mother has 10 toyota corolla cars. I also have 50 lychees (I do not think I need this much). My grandfather also has 47 honeycrisp apples. My brother also has 26 pomegranates. My father has 91 subaru outback cars. I also have 82 nissan altima cars (feeling great about this). My mother also has 68 clarinets. My grandmother also has 88 starfruits. My grandmother also has 98 raspberrys. My grandmother also has 78 electric drums. My aunt has 84 fuji apples. I also have 16 ford edge cars (it is a funny story how I have 16 of them: initially I had 33, then I also got another 21 making it a total of 54, then I got another 43 making it a total of 97, but then I lost 81 of them so eventually I am left with 16 of them now). My mother also has 14 subaru impreza cars. My grandfather also has 80 electric guitars. My father also has 6 glockenspiels. My grandfather also has 80 toyota avalon cars. My cousin has 42 electric pianos. My grandfather also has 82 castanets. I also have 72 toyota prius cars (happt to have them). I also have 65 ocarinas (I do not think I need this much). I also have 89 koras (it is a funny story how I have 89 of them: initially I had 82, then I also got another 35 making it a total of 117, then I got another 35 making it a total of 152, but then I lost 63 of them so eventually I am left with 89 of them now). My sister also has 87 toyota sienna cars. My father also has 11 pink lady apples. My sister also has 21 nissan armada cars. My grandmother also has 55 grapefruits. My brother also has 29 mangoes. My uncle also has 54 pianos. My grandmother also has 67 tablas. My grandmother also has 40 durians. My grandfather also has 96 honda insight cars. I also have 31 mazda cx-80 cars (here is why I have these many: initially I had 29 of them, then I lost 16 of them, but then I got another 74 of them, but then I lost 56 of them, so at the end I am left with 31 of them). My aunt also has 65 jackfruits. I also have 64 bananas (here is why I have these many: initially I had 93 of them, then I lost 14 of them, but then I got another 61 of them, but then I lost 76 of them, so at the end I am left with 64 of them). My sister also has 83 envy apples. I also have 49 shamisens (here is why I have these many: initially I had 50 of them, then I lost 34 of them, but then I got another 78 of them, but then I lost 45 of them, so at the end I am left with 49 of them). My grandfather also has 58 honda accord cars. My aunt also has 87 guzhengs. I also have 32 mazda cx-5 cars (it is a funny story how I have 32 of them: initially I had 62, then I also got another 67 making it a total of 129, then I got another 84 making it a total of 213, but then I lost 181 of them so eventually I am left with 32 of them now). My grandfather also has 85 strawberrys. My cousin also has 65 biwas. I also have 23 papayas (received them yesterday). My aunt also has 36 saxophones. My grandfather also has 48 nectarines. My father also has 67 electric violins. I also have 71 toyota c-hr cars (I do not think I need this much). I also have 15 zithers (here is why I have these many: initially I had 70 of them, then I lost 64 of them, but then I got another 16 of them, but then I lost 7 of them, so at the end I am left with 15 of them). My grandmother also has 44 kia niro cars. I also have 25 nissan leaf cars (here is why I have these many: initially I had 69 of them, then I lost 37 of them, but then I got another 61 of them, but then I lost 68 of them, so at the end I am left with 25 of them). My uncle also has 38 organs. My mother also has 69 mazda cx-70 cars. My friend has 84 honeydews. My father also has 68 pinot noir grapes. My friend also has 65 kalimbas. I also have 48 plums (here is why I have these many: initially I had 69 of them, then I lost 40 of them, but then I got another 88 of them, but then I lost 69 of them, so at the end I am left with 48 of them). My father also has 76 dodge challenger cars. I also have 34 guitars (here is why I have these many: initially I had 78 of them, then I lost 41 of them, but then I got another 13 of them, but then I lost 16 of them, so at the end I am left with 34 of them). I also have 89 violins (I really like them). I also have 44 mazda6 cars (received them last week). My grandfather also has 30 tambourines. I also have 65 mazda cx-50 cars (received them last week). I also have 63 riesling grapes (here is why I have these many: initially I had 67 of them, then I lost 20 of them, but then I got another 81 of them, but then I lost 65 of them, so at the end I am left with 63 of them). My aunt also has 35 pineapples. I also have 21 kiwis (very happy to have them). My mother also has 11 ouds. I also have 68 gala apples (one day, I will have more of them). I also have 23 mandolins (feeling great about this). My brother also has 52 trumpets. My father also has 45 toyota tacoma cars. My cousin also has 29 dulcimers. I also have 56 dragonfruits (here is why I have these many: initially I had 15 of them, then I lost 13 of them, but then I got another 57 of them, but then I lost 3 of them, so at the end I am left with 56 of them). I also have 66 kotoes (it is a funny story how I have 66 of them: initially I had 59, then I also got another 25 making it a total of 84, then I got another 82 making it a total of 166, but then I lost 100 of them so eventually I am left with 66 of them now). What is the sum of the total number of musical instruments and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:167", "request": "I have 29 mazda2 cars (maybe I just need some of them). My friend has 21 ouds. I also have 10 accordions (it is a funny story how I have 10 of them: initially I had 66, then I also got another 99 making it a total of 165, then I got another 38 making it a total of 203, but then I lost 193 of them so eventually I am left with 10 of them now). My brother has 36 lutes. My father has 89 electric guitars. My uncle has 96 mazda cx-50 cars. My brother also has 9 rebecs. My friend also has 40 nissan titan cars. My grandfather has 28 shehnais. I also have 66 vibraphone, steelpans (I am in love with them). My grandfather also has 36 tamburas. My sister has 12 drums. My grandmother has 9 stingrays. My aunt has 49 honda odyssey cars. My sister also has 2 ukuleles. My sister also has 11 mazda cx-30 cars. I also have 37 orangutans (here is why I have these many: initially I had 42 of them, then I lost 18 of them, but then I got another 91 of them, but then I lost 78 of them, so at the end I am left with 37 of them). I also have 17 honda civic cars (received them last month). I also have 85 tesla model s cars (hope to have more in the future). My sister also has 73 fish. My grandmother also has 71 hippopotamus. My friend also has 8 dodge challenger cars. My uncle also has 73 french horns. My grandmother also has 61 cockroaches. I also have 71 sazzes (one day, I will have more of them). My grandfather also has 64 nissan maxima cars. My cousin has 75 honda prologuq cars. I also have 62 buick enclave cars (thrilled to have these). I also have 71 hedgehogs (here is why I have these many: initially I had 14 of them, then I lost 13 of them, but then I got another 79 of them, but then I lost 9 of them, so at the end I am left with 71 of them). I also have 93 otters (I do not think I need this much). My grandfather also has 99 organs. My grandfather also has 34 tambourines. My sister also has 85 chickens. My aunt also has 21 hyenas. I also have 45 bassoons (received them last week). I also have 95 garter snakes (here is why I have these many: initially I had 37 of them, then I lost 33 of them, but then I got another 94 of them, but then I lost 3 of them, so at the end I am left with 95 of them). I also have 40 castanets (feeling great about this). My cousin also has 30 echidnas. My grandmother also has 24 nissan pathfinder cars. My grandmother also has 46 quails. My father also has 98 bees. I also have 29 theremins (it is a funny story how I have 29 of them: initially I had 67, then I also got another 94 making it a total of 161, then I got another 16 making it a total of 177, but then I lost 148 of them so eventually I am left with 29 of them now). I also have 41 honda insight cars (here is why I have these many: initially I had 79 of them, then I lost 43 of them, but then I got another 56 of them, but then I lost 51 of them, so at the end I am left with 41 of them). I also have 21 horses (here is why I have these many: initially I had 71 of them, then I lost 54 of them, but then I got another 74 of them, but then I lost 70 of them, so at the end I am left with 21 of them). My uncle also has 91 guinea pigs. I also have 91 nissan sentra cars (I do not think I need this much). I also have 25 jeep gladiator cars (it is a funny story how I have 25 of them: initially I had 50, then I also got another 85 making it a total of 135, then I got another 24 making it a total of 159, but then I lost 134 of them so eventually I am left with 25 of them now). My mother has 76 trombones. My grandmother also has 19 mazda mx-30 cars. My grandfather also has 37 zithers. My brother also has 2 bats. My father also has 4 toyota c-hr cars. I also have 97 electric violins (maybe I just need some of them). I also have 99 balafons (thrilled to have these). My uncle also has 60 mridangams. My father also has 65 tars. My cousin also has 55 toyota highlander cars. I also have 83 hamsters (they were given to me as a gift). I also have 81 nissan altima cars (it is a funny story how I have 81 of them: initially I had 66, then I also got another 77 making it a total of 143, then I got another 17 making it a total of 160, but then I lost 79 of them so eventually I am left with 81 of them now). My cousin also has 71 harpsichords. My mother also has 39 ants. I also have 69 toyota tacoma cars (it is a funny story how I have 69 of them: initially I had 86, then I also got another 87 making it a total of 173, then I got another 48 making it a total of 221, but then I lost 152 of them so eventually I am left with 69 of them now). I also have 86 honda pilot cars (it is a funny story how I have 86 of them: initially I had 27, then I also got another 79 making it a total of 106, then I got another 88 making it a total of 194, but then I lost 108 of them so eventually I am left with 86 of them now). My sister also has 68 wolves. I also have 44 congas (received them last month). My sister also has 65 subaru outback cars. My grandmother also has 91 audi a6 cars. My father also has 36 cellos. My uncle also has 93 camels. I also have 11 nissan leaf cars (I am in love with them). I also have 21 oboes (it is a funny story how I have 21 of them: initially I had 70, then I also got another 73 making it a total of 143, then I got another 38 making it a total of 181, but then I lost 160 of them so eventually I am left with 21 of them now). My father also has 95 seahorses. My brother also has 44 trout. My friend also has 19 donkeys. My uncle also has 36 toyota corolla cars. My mother also has 16 tanpuras. My uncle also has 46 maracas. My grandfather also has 21 pandas. My aunt also has 75 clavichords. I also have 20 toyota camry cars (here is why I have these many: initially I had 24 of them, then I lost 18 of them, but then I got another 43 of them, but then I lost 29 of them, so at the end I am left with 20 of them). I also have 35 bongos (it is a funny story how I have 35 of them: initially I had 61, then I also got another 72 making it a total of 133, then I got another 32 making it a total of 165, but then I lost 130 of them so eventually I am left with 35 of them now). My grandfather also has 22 rababs. I also have 18 crocodiles (I really like them). My mother also has 1 duck. I also have 73 electric cellos (it is a funny story how I have 73 of them: initially I had 93, then I also got another 22 making it a total of 115, then I got another 83 making it a total of 198, but then I lost 125 of them so eventually I am left with 73 of them now). My uncle also has 2 viper snakes. I also have 6 shrews (they are great). My uncle also has 53 sloths. My sister also has 56 lions. I also have 53 honda passport cars (it is a funny story how I have 53 of them: initially I had 79, then I also got another 40 making it a total of 119, then I got another 13 making it a total of 132, but then I lost 79 of them so eventually I am left with 53 of them now). My brother also has 55 toyota sienna cars. I also have 1 ocarina (here is why I have these many: initially I had 87 of them, then I lost 60 of them, but then I got another 98 of them, but then I lost 124 of them, so at the end I am left with 1 of them). My grandmother also has 52 marimbas. I also have 45 clarinets (feeling great about this). My friend also has 97 electric bass. I also have 67 tablas (happt to have them). I also have 32 ponys (I really like them). My mother also has 40 honda cr-z cars. My sister also has 94 pipas. My grandfather also has 81 xylophones. My grandfather also has 8 cats. My mother also has 52 bears. I also have 62 violins (it is a funny story how I have 62 of them: initially I had 53, then I also got another 78 making it a total of 131, then I got another 69 making it a total of 200, but then I lost 138 of them so eventually I am left with 62 of them now). My grandmother also has 56 bagpipes. My cousin also has 98 mandolins. I also have 35 koras (I like these a lot). My cousin also has 65 glockenspiels. My friend also has 26 tigers. My sister also has 62 honda cr-v cars. My grandmother also has 1 subaru impreza cars. My grandmother also has 34 toyota tundra cars. My grandmother also has 61 toyota prius cars. My grandfather also has 61 flamingoes. I also have 60 hyundai elantra cars (I really like them). I also have 32 ferrets (hope to have more in the future). I also have 27 crows (received them last month). I also have 11 iguanas (received them last month). I also have 82 nissan rogue cars (I do not think I need this much). I also have 51 mazda cx-70 cars (received them last month). My grandmother also has 22 zebras. I also have 69 toyota avalon cars (here is why I have these many: initially I had 75 of them, then I lost 49 of them, but then I got another 44 of them, but then I lost 1 of them, so at the end I am left with 69 of them). I also have 36 owls (here is why I have these many: initially I had 24 of them, then I lost 22 of them, but then I got another 36 of them, but then I lost 2 of them, so at the end I am left with 36 of them). My father also has 34 mazda cx-5 cars. I also have 32 turkeys (they were given to me as a gift). What is the sum of the total number of musical instruments and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:168", "request": "I have 29 mangoes (it is a funny story how I have 29 of them: initially I had 23, then I also got another 58 making it a total of 81, then I got another 54 making it a total of 135, but then I lost 106 of them so eventually I am left with 29 of them now). My sister has 82 meizu mobiles. I also have 26 guitars (it is a funny story how I have 26 of them: initially I had 74, then I also got another 44 making it a total of 118, then I got another 83 making it a total of 201, but then I lost 175 of them so eventually I am left with 26 of them now). My cousin has 35 plums. I also have 69 pears (I do not think I need this much). My sister also has 80 lychees. My cousin also has 63 huawei pura 70 pro mobiles. My grandmother has 19 organs. My brother has 78 dulcimers. My friend has 48 saxophones. My friend also has 26 iphone 13 mobiles. I also have 16 jonagold apples (I do not think I need this much). My uncle has 77 samsung galaxy m55s mobiles. My sister also has 83 vibraphone, steelpans. I also have 98 bass guitars (I really like them). My grandfather has 52 tecno mobiles. My aunt has 80 hammered dulcimers. My friend also has 25 samsung galaxy tab s10 mobiles. My uncle also has 11 oneplus mobiles. I also have 4 elderberryoranges (I really like them). I also have 96 nokia mobiles (happt to have them). My friend also has 45 clavichords. I also have 59 bananas (it is a funny story how I have 59 of them: initially I had 57, then I also got another 80 making it a total of 137, then I got another 77 making it a total of 214, but then I lost 155 of them so eventually I am left with 59 of them now). I also have 85 nectarines (received them last month). My cousin also has 60 dragonfruits. My sister also has 70 balafons. I also have 73 biwas (here is why I have these many: initially I had 46 of them, then I lost 24 of them, but then I got another 56 of them, but then I lost 5 of them, so at the end I am left with 73 of them). My brother also has 33 motorola mobiles. My grandfather also has 98 mridangams. My grandfather also has 55 samsung galaxy a55 mobiles. My aunt also has 58 samsung galaxy c55 mobiles. My uncle also has 25 huawei mate x6 mobiles. My friend also has 76 peaches. My father has 13 bouzoukis. I also have 87 blackberry mobiles (here is why I have these many: initially I had 51 of them, then I lost 19 of them, but then I got another 80 of them, but then I lost 25 of them, so at the end I am left with 87 of them). I also have 30 tars (it is a funny story how I have 30 of them: initially I had 38, then I also got another 72 making it a total of 110, then I got another 65 making it a total of 175, but then I lost 145 of them so eventually I am left with 30 of them now). I also have 30 harmonicas (received them yesterday). My mother has 68 strawberrys. I also have 25 trombones (it is a funny story how I have 25 of them: initially I had 68, then I also got another 64 making it a total of 132, then I got another 85 making it a total of 217, but then I lost 192 of them so eventually I am left with 25 of them now). My grandfather also has 15 cherrys. My uncle also has 98 iphone 14 mobiles. My grandmother also has 72 clarinets. I also have 51 theremins (here is why I have these many: initially I had 83 of them, then I lost 12 of them, but then I got another 98 of them, but then I lost 118 of them, so at the end I am left with 51 of them). My brother also has 92 kalimbas. My friend also has 10 drums. My aunt also has 8 kazoos. I also have 51 tamburas (here is why I have these many: initially I had 68 of them, then I lost 65 of them, but then I got another 52 of them, but then I lost 4 of them, so at the end I am left with 51 of them). I also have 10 iphone 5 mobiles (here is why I have these many: initially I had 20 of them, then I lost 12 of them, but then I got another 19 of them, but then I lost 17 of them, so at the end I am left with 10 of them). My brother also has 60 grapefruits. I also have 30 jackfruits (it is a funny story how I have 30 of them: initially I had 89, then I also got another 28 making it a total of 117, then I got another 96 making it a total of 213, but then I lost 183 of them so eventually I am left with 30 of them now). My mother also has 78 samsung galaxy a35 mobiles. My cousin also has 92 soursops. I also have 78 samsung galaxy f05 mobiles (I do not think I need this much). My mother also has 90 nadaswarams. I also have 56 vivo mobiles (it is a funny story how I have 56 of them: initially I had 75, then I also got another 24 making it a total of 99, then I got another 27 making it a total of 126, but then I lost 70 of them so eventually I am left with 56 of them now). My brother also has 60 clementinefigs. My father also has 89 iphone 16 mobiles. My brother also has 90 cotton candy grapes. My uncle also has 36 pomegranates. My cousin also has 44 sazzes. My aunt also has 2 nebbiolo grapes. My aunt also has 20 syrah grapes. I also have 92 cantaloupes (feeling good about this). I also have 93 iphone 12 mobiles (it is a funny story how I have 93 of them: initially I had 86, then I also got another 56 making it a total of 142, then I got another 40 making it a total of 182, but then I lost 89 of them so eventually I am left with 93 of them now). My brother also has 46 lg mobiles. My uncle also has 70 electric guitars. My mother also has 12 blueberrys. My grandmother also has 36 huawei nova 11 se mobiles. My cousin also has 77 dates. I also have 50 cranberrys (they are great). I also have 12 iphone x mobiles (it is a funny story how I have 12 of them: initially I had 47, then I also got another 67 making it a total of 114, then I got another 39 making it a total of 153, but then I lost 141 of them so eventually I am left with 12 of them now). I also have 89 persimmons (here is why I have these many: initially I had 37 of them, then I lost 34 of them, but then I got another 100 of them, but then I lost 14 of them, so at the end I am left with 89 of them). My uncle also has 1 iphone 8 mobiles. My grandmother also has 57 pineapples. My brother also has 94 chardonnay grapes. My sister also has 42 gala apples. I also have 49 samsung galaxy s24 mobiles (it is a funny story how I have 49 of them: initially I had 100, then I also got another 63 making it a total of 163, then I got another 54 making it a total of 217, but then I lost 168 of them so eventually I am left with 49 of them now). I also have 14 iphone 11 mobiles (I am in love with them). My cousin also has 40 kotoes. I also have 5 breadfruits (thrilled to have these). I also have 3 watermelons (here is why I have these many: initially I had 28 of them, then I lost 21 of them, but then I got another 23 of them, but then I lost 27 of them, so at the end I am left with 3 of them). I also have 70 htc mobiles (thrilled to have these). I also have 29 apricots (happt to have them). My grandfather also has 50 castanets. I also have 26 tanpuras (planning to have more in the future). My brother also has 9 lemons. My grandmother also has 32 french horns. I also have 2 honeydews (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 100 of them, but then I lost 99 of them, so at the end I am left with 2 of them). My grandfather also has 46 synthesizer keyboards. I also have 95 setars (it is a funny story how I have 95 of them: initially I had 46, then I also got another 61 making it a total of 107, then I got another 25 making it a total of 132, but then I lost 37 of them so eventually I am left with 95 of them now). My cousin also has 48 erhus. I also have 83 guavas (happt to have them). I also have 60 raspberrys (here is why I have these many: initially I had 34 of them, then I lost 11 of them, but then I got another 69 of them, but then I lost 32 of them, so at the end I am left with 60 of them). My sister also has 44 google (pixel) mobiles. My sister also has 95 pianos. I also have 74 envy apples (here is why I have these many: initially I had 68 of them, then I lost 27 of them, but then I got another 40 of them, but then I lost 7 of them, so at the end I am left with 74 of them). My sister also has 63 grenache grapes. My uncle also has 71 tambourines. My grandfather also has 22 violins. What is the sum of the total number of mobiles and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:170", "request": "My sister has 76 iphone 14 mobiles. My aunt has 52 mazda3 cars. I have 76 huawei pura 70 pro mobiles (it is a funny story how I have 76 of them: initially I had 23, then I also got another 71 making it a total of 94, then I got another 46 making it a total of 140, but then I lost 64 of them so eventually I am left with 76 of them now). My aunt also has 64 violins. I also have 51 tars (here is why I have these many: initially I had 21 of them, then I lost 15 of them, but then I got another 50 of them, but then I lost 5 of them, so at the end I am left with 51 of them). My grandmother has 54 kia niro cars. I also have 41 mazda cx-3 cars (it is a funny story how I have 41 of them: initially I had 36, then I also got another 73 making it a total of 109, then I got another 23 making it a total of 132, but then I lost 91 of them so eventually I am left with 41 of them now). I also have 28 trumpets (thrilled to have these). My grandmother also has 20 meizu mobiles. I also have 37 zte mobiles (here is why I have these many: initially I had 60 of them, then I lost 51 of them, but then I got another 34 of them, but then I lost 6 of them, so at the end I am left with 37 of them). I also have 53 samsung galaxy s24 mobiles (here is why I have these many: initially I had 34 of them, then I lost 28 of them, but then I got another 81 of them, but then I lost 34 of them, so at the end I am left with 53 of them). I also have 55 honda element cars (happt to have them). I also have 80 harpsichords (I really like them). My sister also has 99 sitars. My sister also has 85 electric pianos. My grandmother also has 97 xylophones. My friend has 29 google (pixel) mobiles. I also have 15 samsung galaxy z fold6 mobiles (here is why I have these many: initially I had 86 of them, then I lost 59 of them, but then I got another 92 of them, but then I lost 104 of them, so at the end I am left with 15 of them). I also have 22 djembes (here is why I have these many: initially I had 72 of them, then I lost 11 of them, but then I got another 18 of them, but then I lost 57 of them, so at the end I am left with 22 of them). I also have 64 xiaomi mobiles (it is a funny story how I have 64 of them: initially I had 100, then I also got another 76 making it a total of 176, then I got another 45 making it a total of 221, but then I lost 157 of them so eventually I am left with 64 of them now). I also have 40 honda odyssey cars (they were given to me as a gift). I also have 84 bagpipes (it is a funny story how I have 84 of them: initially I had 37, then I also got another 93 making it a total of 130, then I got another 17 making it a total of 147, but then I lost 63 of them so eventually I am left with 84 of them now). My father has 16 nissan murano cars. I also have 84 double bass (hope to have more in the future). I also have 42 cellos (here is why I have these many: initially I had 13 of them, then I lost 10 of them, but then I got another 84 of them, but then I lost 45 of them, so at the end I am left with 42 of them). I also have 16 honda hr-v cars (it is a funny story how I have 16 of them: initially I had 11, then I also got another 47 making it a total of 58, then I got another 15 making it a total of 73, but then I lost 57 of them so eventually I am left with 16 of them now). My brother has 6 huawei nova 11 se mobiles. My grandfather has 42 iphone 6 mobiles. My sister also has 90 accordions. My father also has 79 lg mobiles. My mother has 71 toyota highlander cars. I also have 69 iphone 8 mobiles (here is why I have these many: initially I had 35 of them, then I lost 29 of them, but then I got another 99 of them, but then I lost 36 of them, so at the end I am left with 69 of them). My friend also has 63 huawei nova 12i mobiles. I also have 71 nissan rogue cars (very happy to have them). My father also has 56 ouds. I also have 24 oneplus mobiles (received them last week). My grandfather also has 91 samsung galaxy a55 mobiles. I also have 76 toyota tacoma cars (it is a funny story how I have 76 of them: initially I had 35, then I also got another 60 making it a total of 95, then I got another 76 making it a total of 171, but then I lost 95 of them so eventually I am left with 76 of them now). My grandmother also has 46 sruti boxes. My brother also has 72 mazda cx-5 cars. I also have 23 huawei mate 70 mobiles (it is a funny story how I have 23 of them: initially I had 17, then I also got another 100 making it a total of 117, then I got another 44 making it a total of 161, but then I lost 138 of them so eventually I am left with 23 of them now). I also have 12 clavichords (received them yesterday). My father also has 86 htc mobiles. My sister also has 23 iphone 16 mobiles. My uncle has 49 honda pilot cars. My cousin has 45 electric drums. I also have 78 iphone 12 mobiles (one day, I will have more of them). My aunt also has 65 nokia mobiles. I also have 47 mazda2 cars (here is why I have these many: initially I had 47 of them, then I lost 13 of them, but then I got another 82 of them, but then I lost 69 of them, so at the end I am left with 47 of them). I also have 79 honda prologuq cars (received them last month). My father also has 12 iphone 5 mobiles. My brother also has 5 honda insight cars. I also have 21 kotoes (here is why I have these many: initially I had 80 of them, then I lost 18 of them, but then I got another 86 of them, but then I lost 127 of them, so at the end I am left with 21 of them). My father also has 34 oppo mobiles. I also have 21 mandolins (it is a funny story how I have 21 of them: initially I had 89, then I also got another 54 making it a total of 143, then I got another 52 making it a total of 195, but then I lost 174 of them so eventually I am left with 21 of them now). My sister also has 38 tamburas. I also have 5 samsung galaxy a16 mobiles (I really like them). I also have 87 huawei nova 12 pro mobiles (received them last week). I also have 23 huawei nova 12s mobiles (received them last month). My uncle also has 35 dulcimers. My mother also has 23 hyundai elantra cars. My uncle also has 86 kalimbas. My friend also has 19 honda cr-z cars. My friend also has 93 ford edge cars. My sister also has 11 pianos. My uncle also has 73 nissan kicks cars. My uncle also has 64 harmonicas. My aunt also has 97 kazoos. I also have 63 subaru outback cars (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 92 of them, but then I lost 30 of them, so at the end I am left with 63 of them). My sister also has 37 samsung galaxy a15 mobiles. I also have 50 ocarinas (here is why I have these many: initially I had 86 of them, then I lost 26 of them, but then I got another 41 of them, but then I lost 51 of them, so at the end I am left with 50 of them). My father also has 58 mazda cx-80 cars. My friend also has 98 toyota camry cars. My uncle also has 63 guitars. My grandfather also has 87 tablas. My father also has 67 iphone x mobiles. My grandfather also has 35 nadaswarams. I also have 64 theremins (received them last week). I also have 79 mazda6 cars (it is a funny story how I have 79 of them: initially I had 61, then I also got another 48 making it a total of 109, then I got another 41 making it a total of 150, but then I lost 71 of them so eventually I am left with 79 of them now). My father also has 96 drums. My sister also has 43 french horns. I also have 96 subaru ascent cars (it is a funny story how I have 96 of them: initially I had 47, then I also got another 38 making it a total of 85, then I got another 81 making it a total of 166, but then I lost 70 of them so eventually I am left with 96 of them now). I also have 38 huawei pura 70 ultra mobiles (it is a funny story how I have 38 of them: initially I had 32, then I also got another 41 making it a total of 73, then I got another 20 making it a total of 93, but then I lost 55 of them so eventually I am left with 38 of them now). I also have 19 nissan maxima cars (received them last week). My grandmother also has 37 bongos. I also have 90 honda passport cars (it is a funny story how I have 90 of them: initially I had 70, then I also got another 78 making it a total of 148, then I got another 25 making it a total of 173, but then I lost 83 of them so eventually I am left with 90 of them now). My father also has 64 samsung galaxy f05 mobiles. My father also has 19 toyota tundra cars. I also have 63 nissan ariya cars (it is a funny story how I have 63 of them: initially I had 69, then I also got another 67 making it a total of 136, then I got another 51 making it a total of 187, but then I lost 124 of them so eventually I am left with 63 of them now). My sister also has 8 bansuris. My mother also has 23 toyota corolla cars. I also have 9 huawei pura 70 pro+ mobiles (it is a funny story how I have 9 of them: initially I had 40, then I also got another 58 making it a total of 98, then I got another 32 making it a total of 130, but then I lost 121 of them so eventually I am left with 9 of them now). My cousin also has 55 guzhengs. I also have 65 setars (here is why I have these many: initially I had 33 of them, then I lost 31 of them, but then I got another 74 of them, but then I lost 11 of them, so at the end I am left with 65 of them). I also have 34 balafons (it is a funny story how I have 34 of them: initially I had 98, then I also got another 98 making it a total of 196, then I got another 62 making it a total of 258, but then I lost 224 of them so eventually I am left with 34 of them now). My friend also has 58 huawei mate x6 mobiles. My cousin also has 30 vivo mobiles. I also have 5 samsung galaxy z fold5 mobiles (here is why I have these many: initially I had 54 of them, then I lost 52 of them, but then I got another 38 of them, but then I lost 35 of them, so at the end I am left with 5 of them). I also have 31 saxophones (hope to have more in the future). What is the absolute difference of the total number of mobiles and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:173", "request": "I have 72 ravens (received them last month). My uncle has 29 nissan rogue cars. I also have 87 nissan leaf cars (here is why I have these many: initially I had 77 of them, then I lost 36 of them, but then I got another 72 of them, but then I lost 26 of them, so at the end I am left with 87 of them). My brother has 17 mazda cx-30 cars. I also have 73 huawei pura 70 pro mobiles (received them yesterday). I also have 64 otters (happt to have them). I also have 46 dodge challenger cars (here is why I have these many: initially I had 93 of them, then I lost 42 of them, but then I got another 36 of them, but then I lost 41 of them, so at the end I am left with 46 of them). I also have 55 honda prologuq cars (hope to have more in the future). My uncle also has 78 guinea pigs. My grandfather has 67 chickens. I also have 64 sheep (very happy to have them). My sister has 25 samsung galaxy c55 mobiles. My sister also has 15 raccoons. My grandfather also has 30 honda cr-z cars. I also have 13 iguanas (it is a funny story how I have 13 of them: initially I had 65, then I also got another 67 making it a total of 132, then I got another 69 making it a total of 201, but then I lost 188 of them so eventually I am left with 13 of them now). My cousin has 89 oppo mobiles. My cousin also has 6 elks. My sister also has 98 iphone 12 mobiles. I also have 9 hyundai santa fe cars (thrilled to have these). My friend has 89 king cobra snakes. I also have 16 samsung galaxy a55 mobiles (feeling good about this). I also have 87 reindeer (it is a funny story how I have 87 of them: initially I had 60, then I also got another 94 making it a total of 154, then I got another 56 making it a total of 210, but then I lost 123 of them so eventually I am left with 87 of them now). My friend also has 92 zte mobiles. I also have 19 fish (it is a funny story how I have 19 of them: initially I had 51, then I also got another 50 making it a total of 101, then I got another 70 making it a total of 171, but then I lost 152 of them so eventually I am left with 19 of them now). I also have 8 mallards (it is a funny story how I have 8 of them: initially I had 51, then I also got another 99 making it a total of 150, then I got another 87 making it a total of 237, but then I lost 229 of them so eventually I am left with 8 of them now). I also have 20 leopards (I like these a lot). My father has 22 hyundai elantra cars. I also have 86 opossums (I like these a lot). My aunt has 68 cranes. My grandfather also has 79 nissan maxima cars. My grandmother has 98 mules. I also have 3 sony mobiles (here is why I have these many: initially I had 23 of them, then I lost 10 of them, but then I got another 59 of them, but then I lost 69 of them, so at the end I am left with 3 of them). I also have 31 iphone x mobiles (received them last month). My aunt also has 70 huawei pura 70 pro+ mobiles. My mother has 47 iphone 5 mobiles. My cousin also has 57 crocodiles. I also have 64 samsung galaxy z fold5 mobiles (maybe I just need some of them). My brother also has 97 mazda mx-30 cars. I also have 24 huawei nova 12 pro mobiles (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 35 of them, but then I lost 12 of them, so at the end I am left with 24 of them). I also have 87 hedgehogs (they are great). My mother also has 45 toyota highlander cars. My sister also has 82 cobras. My brother also has 17 impalas. My sister also has 98 zebras. I also have 4 canarys (it is a funny story how I have 4 of them: initially I had 46, then I also got another 85 making it a total of 131, then I got another 64 making it a total of 195, but then I lost 191 of them so eventually I am left with 4 of them now). I also have 80 nokia mobiles (received them last week). I also have 68 mazda cx-70 cars (happt to have them). My friend also has 28 tecno mobiles. My grandfather also has 20 nissan titan cars. I also have 26 subaru impreza cars (here is why I have these many: initially I had 46 of them, then I lost 23 of them, but then I got another 17 of them, but then I lost 14 of them, so at the end I am left with 26 of them). My father also has 42 toyota 4runnertoyota sequoia cars. My uncle also has 43 toyota tundra cars. My friend also has 42 toyota corolla cars. My aunt also has 50 google (pixel) mobiles. My uncle also has 65 buick enclave cars. My sister also has 19 honda accord cars. I also have 51 samsung galaxy a16 mobiles (they are great). My brother also has 85 honda odyssey cars. My grandmother also has 63 lemurs. I also have 87 mazda cx-80 cars (very happy to have them). My grandmother also has 73 volkswagen golf cars. I also have 78 subaru outback cars (happt to have them). I also have 24 nissan frintier cars (I do not think I need this much). My mother also has 3 mazda cx-3 cars. My grandmother also has 90 huawei nova 11 se mobiles. My father also has 66 iphone 16 mobiles. I also have 88 shrimps (here is why I have these many: initially I had 97 of them, then I lost 56 of them, but then I got another 81 of them, but then I lost 34 of them, so at the end I am left with 88 of them). My aunt also has 59 nissan sentra cars. I also have 48 toyota c-hr cars (received them last month). I also have 79 chameleons (planning to have more in the future). I also have 92 cows (feeling good about this). I also have 76 pigeons (thrilled to have these). I also have 14 samsung galaxy f05 mobiles (received them yesterday). My grandfather also has 77 newts. I also have 82 honda insight cars (here is why I have these many: initially I had 72 of them, then I lost 40 of them, but then I got another 87 of them, but then I lost 37 of them, so at the end I am left with 82 of them). My cousin also has 18 motorola mobiles. My cousin also has 61 mazda6 cars. My grandfather also has 64 oneplus mobiles. My mother also has 68 octopus. My grandfather also has 48 iphone 11 mobiles. I also have 56 honda hr-v cars (it is a funny story how I have 56 of them: initially I had 97, then I also got another 56 making it a total of 153, then I got another 59 making it a total of 212, but then I lost 156 of them so eventually I am left with 56 of them now). My father also has 37 huawei nova 12i mobiles. My brother also has 72 komodo dragons. I also have 8 iphone 13 mobiles (they were given to me as a gift). I also have 7 wolves (here is why I have these many: initially I had 22 of them, then I lost 14 of them, but then I got another 20 of them, but then I lost 21 of them, so at the end I am left with 7 of them). My uncle also has 77 bisons. I also have 11 toyota camry cars (feeling great about this). I also have 39 roosters (they were given to me as a gift). I also have 69 monkeys (thrilled to have these). My uncle also has 59 iphone 6 mobiles. My brother also has 24 nissan kicks cars. My father also has 60 moose. I also have 91 llamas (it is a funny story how I have 91 of them: initially I had 79, then I also got another 54 making it a total of 133, then I got another 57 making it a total of 190, but then I lost 99 of them so eventually I am left with 91 of them now). My uncle also has 56 prairie dogs. I also have 39 toyota rav4 cars (hope to have more in the future). My aunt also has 13 samsung galaxy a15 mobiles. I also have 27 huawei pura 70 mobiles (here is why I have these many: initially I had 40 of them, then I lost 24 of them, but then I got another 68 of them, but then I lost 57 of them, so at the end I am left with 27 of them). My brother also has 92 iphone 4 mobiles. My aunt also has 6 salmon. I also have 30 huawei mate x6 mobiles (I am in love with them). My sister also has 67 flys. I also have 33 owls (it is a funny story how I have 33 of them: initially I had 90, then I also got another 74 making it a total of 164, then I got another 50 making it a total of 214, but then I lost 181 of them so eventually I am left with 33 of them now). My mother also has 31 mamba snakes. My sister also has 49 mosquitoes. My mother also has 78 armadillos. My grandfather also has 24 mazda3 cars. My friend also has 15 vivo mobiles. My friend also has 6 crabs. I also have 55 tesla model s cars (here is why I have these many: initially I had 67 of them, then I lost 11 of them, but then I got another 46 of them, but then I lost 47 of them, so at the end I am left with 55 of them). My father also has 13 donkeys. My cousin also has 76 chimpanzees. My aunt also has 75 goldfish. What is the absolute difference of the total number of animals/insects and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:174", "request": "My brother has 97 honda hr-v cars. I have 24 honda element cars (here is why I have these many: initially I had 24 of them, then I lost 14 of them, but then I got another 60 of them, but then I lost 46 of them, so at the end I am left with 24 of them). I also have 52 guavas (here is why I have these many: initially I had 60 of them, then I lost 44 of them, but then I got another 82 of them, but then I lost 46 of them, so at the end I am left with 52 of them). My cousin has 48 lemons. I also have 93 baboons (here is why I have these many: initially I had 21 of them, then I lost 13 of them, but then I got another 100 of them, but then I lost 15 of them, so at the end I am left with 93 of them). My grandmother has 52 honda civic cars. I also have 67 toyota tundra cars (it is a funny story how I have 67 of them: initially I had 25, then I also got another 74 making it a total of 99, then I got another 30 making it a total of 129, but then I lost 62 of them so eventually I am left with 67 of them now). My friend has 33 subaru ascent cars. I also have 82 mazda3 cars (maybe I just need some of them). My grandfather has 87 komodo dragons. My brother also has 36 cherrys. My sister has 82 ferrets. My grandmother also has 31 reindeer. My uncle has 20 zebras. I also have 62 nissan maxima cars (here is why I have these many: initially I had 32 of them, then I lost 26 of them, but then I got another 99 of them, but then I lost 43 of them, so at the end I am left with 62 of them). I also have 66 jeep gladiator cars (here is why I have these many: initially I had 84 of them, then I lost 71 of them, but then I got another 62 of them, but then I lost 9 of them, so at the end I am left with 66 of them). My sister also has 3 strawberrys. I also have 67 prairie dogs (it is a funny story how I have 67 of them: initially I had 37, then I also got another 15 making it a total of 52, then I got another 90 making it a total of 142, but then I lost 75 of them so eventually I am left with 67 of them now). My brother also has 44 gala apples. My uncle also has 87 honda odyssey cars. I also have 89 toyota prius cars (I like these a lot). I also have 4 whales (it is a funny story how I have 4 of them: initially I had 44, then I also got another 55 making it a total of 99, then I got another 47 making it a total of 146, but then I lost 142 of them so eventually I am left with 4 of them now). My father has 30 autumn royal grapes. My sister also has 53 turtles. I also have 36 pigs (here is why I have these many: initially I had 91 of them, then I lost 68 of them, but then I got another 47 of them, but then I lost 34 of them, so at the end I am left with 36 of them). My father also has 57 elderberryoranges. My friend also has 75 coconuts. I also have 78 cotton candy grapes (it is a funny story how I have 78 of them: initially I had 32, then I also got another 62 making it a total of 94, then I got another 91 making it a total of 185, but then I lost 107 of them so eventually I am left with 78 of them now). I also have 73 salamanders (received them last week). My uncle also has 21 honeycrisp apples. I also have 60 pinot noir grapes (here is why I have these many: initially I had 55 of them, then I lost 30 of them, but then I got another 83 of them, but then I lost 48 of them, so at the end I am left with 60 of them). My mother has 70 dragonfruits. I also have 85 cranberrys (hope to have more in the future). I also have 11 echidnas (it is a funny story how I have 11 of them: initially I had 48, then I also got another 47 making it a total of 95, then I got another 28 making it a total of 123, but then I lost 112 of them so eventually I am left with 11 of them now). My grandfather also has 50 buick enclave cars. I also have 84 moose (happt to have them). My mother also has 47 honda passport cars. My cousin also has 92 watermelons. I also have 69 goats (here is why I have these many: initially I had 69 of them, then I lost 49 of them, but then I got another 94 of them, but then I lost 45 of them, so at the end I am left with 69 of them). My mother also has 22 mazda6 cars. I also have 30 frogs (feeling great about this). I also have 53 rabbits (I do not think I need this much). My grandfather also has 33 magpies. I also have 63 mazda cx-30 cars (here is why I have these many: initially I had 78 of them, then I lost 17 of them, but then I got another 82 of them, but then I lost 80 of them, so at the end I am left with 63 of them). My uncle also has 46 tigers. My cousin also has 30 honda cr-z cars. I also have 98 trout (thrilled to have these). I also have 25 bananas (here is why I have these many: initially I had 58 of them, then I lost 41 of them, but then I got another 27 of them, but then I lost 19 of them, so at the end I am left with 25 of them). My mother also has 35 wolves. My mother also has 97 iguanas. My aunt has 81 orangutans. My brother also has 68 persimmons. My cousin also has 81 starfruits. My grandmother also has 66 dodge challenger cars. My mother also has 69 python snakes. I also have 38 quinces (it is a funny story how I have 38 of them: initially I had 33, then I also got another 74 making it a total of 107, then I got another 77 making it a total of 184, but then I lost 146 of them so eventually I am left with 38 of them now). My brother also has 20 merlot grapes. My friend also has 76 honeydews. My cousin also has 63 toyota avalon cars. My mother also has 3 nissan pathfinder cars. My sister also has 32 mazda2 cars. I also have 17 squirrels (it is a funny story how I have 17 of them: initially I had 86, then I also got another 67 making it a total of 153, then I got another 30 making it a total of 183, but then I lost 166 of them so eventually I am left with 17 of them now). My cousin also has 76 nissan armada cars. My sister also has 2 bees. I also have 88 volkswagen golf cars (here is why I have these many: initially I had 77 of them, then I lost 70 of them, but then I got another 91 of them, but then I lost 10 of them, so at the end I am left with 88 of them). My aunt also has 23 honda prologuq cars. I also have 15 king cobra snakes (it is a funny story how I have 15 of them: initially I had 30, then I also got another 14 making it a total of 44, then I got another 66 making it a total of 110, but then I lost 95 of them so eventually I am left with 15 of them now). My uncle also has 84 dolphins. My uncle also has 8 chardonnay grapes. My grandfather also has 97 nectarines. My sister also has 90 nissan leaf cars. I also have 81 pomegranates (here is why I have these many: initially I had 24 of them, then I lost 20 of them, but then I got another 84 of them, but then I lost 7 of them, so at the end I am left with 81 of them). My sister also has 27 durians. I also have 7 jackfruits (here is why I have these many: initially I had 52 of them, then I lost 36 of them, but then I got another 31 of them, but then I lost 40 of them, so at the end I am left with 7 of them). My uncle also has 10 nissan kicks cars. My grandmother also has 16 nissan altima cars. My aunt also has 65 ginger gold apples. My friend also has 90 cranes. My father also has 32 nissan murano cars. I also have 7 subaru outback cars (it is a funny story how I have 7 of them: initially I had 61, then I also got another 54 making it a total of 115, then I got another 89 making it a total of 204, but then I lost 197 of them so eventually I am left with 7 of them now). My friend also has 89 emus. I also have 96 doves (it is a funny story how I have 96 of them: initially I had 50, then I also got another 85 making it a total of 135, then I got another 39 making it a total of 174, but then I lost 78 of them so eventually I am left with 96 of them now). My father also has 29 hyenas. My friend also has 82 hyundai santa fe cars. My grandmother also has 98 ambrosia apples. I also have 11 plantains (it is a funny story how I have 11 of them: initially I had 84, then I also got another 74 making it a total of 158, then I got another 27 making it a total of 185, but then I lost 174 of them so eventually I am left with 11 of them now). I also have 37 mazda cx-80 cars (it is a funny story how I have 37 of them: initially I had 20, then I also got another 29 making it a total of 49, then I got another 15 making it a total of 64, but then I lost 27 of them so eventually I am left with 37 of them now). My grandmother also has 79 cantaloupes. My mother also has 14 apes. I also have 12 salmon (it is a funny story how I have 12 of them: initially I had 24, then I also got another 85 making it a total of 109, then I got another 22 making it a total of 131, but then I lost 119 of them so eventually I am left with 12 of them now). I also have 35 honda pilot cars (it is a funny story how I have 35 of them: initially I had 11, then I also got another 57 making it a total of 68, then I got another 82 making it a total of 150, but then I lost 115 of them so eventually I am left with 35 of them now). I also have 8 yaks (planning to have more in the future). My grandfather also has 44 toyota 4runnertoyota sequoia cars. My uncle also has 7 honda cr-v cars. I also have 81 hippopotamus (here is why I have these many: initially I had 78 of them, then I lost 39 of them, but then I got another 55 of them, but then I lost 13 of them, so at the end I am left with 81 of them). My aunt also has 66 peaches. I also have 47 apricots (maybe I just need some of them). My father also has 72 mangoes. My friend also has 75 camels. I also have 81 narwhals (it is a funny story how I have 81 of them: initially I had 31, then I also got another 70 making it a total of 101, then I got another 23 making it a total of 124, but then I lost 43 of them so eventually I am left with 81 of them now). I also have 46 envy apples (here is why I have these many: initially I had 22 of them, then I lost 18 of them, but then I got another 91 of them, but then I lost 49 of them, so at the end I am left with 46 of them). My cousin also has 94 nissan sentra cars. I also have 10 cobras (it is a funny story how I have 10 of them: initially I had 34, then I also got another 12 making it a total of 46, then I got another 10 making it a total of 56, but then I lost 46 of them so eventually I am left with 10 of them now). My grandfather also has 51 kia niro cars. I also have 19 dates (here is why I have these many: initially I had 63 of them, then I lost 55 of them, but then I got another 94 of them, but then I lost 83 of them, so at the end I am left with 19 of them). I also have 2 honda accord cars (it is a funny story how I have 2 of them: initially I had 89, then I also got another 28 making it a total of 117, then I got another 33 making it a total of 150, but then I lost 148 of them so eventually I am left with 2 of them now). I also have 98 mulberrys (here is why I have these many: initially I had 64 of them, then I lost 11 of them, but then I got another 81 of them, but then I lost 36 of them, so at the end I am left with 98 of them). My uncle also has 65 toyota sienna cars. I also have 81 possums (here is why I have these many: initially I had 48 of them, then I lost 37 of them, but then I got another 94 of them, but then I lost 24 of them, so at the end I am left with 81 of them). My grandmother also has 36 fuji apples. My brother also has 85 pineapples. My father also has 57 sloths. My uncle also has 55 tesla model s cars. My mother also has 36 muscat grapes. What is the absolute difference of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:175", "request": "My grandfather has 16 bongos. I have 9 koras (here is why I have these many: initially I had 89 of them, then I lost 73 of them, but then I got another 69 of them, but then I lost 76 of them, so at the end I am left with 9 of them). My father has 73 samsung galaxy a55 mobiles. My sister has 62 samsung galaxy tab s10 mobiles. I also have 6 electric violins (here is why I have these many: initially I had 61 of them, then I lost 46 of them, but then I got another 76 of them, but then I lost 85 of them, so at the end I am left with 6 of them). I also have 61 iphone 8 mobiles (it is a funny story how I have 61 of them: initially I had 46, then I also got another 14 making it a total of 60, then I got another 36 making it a total of 96, but then I lost 35 of them so eventually I am left with 61 of them now). I also have 95 clarinets (received them last month). I also have 52 tablas (it is a funny story how I have 52 of them: initially I had 69, then I also got another 74 making it a total of 143, then I got another 67 making it a total of 210, but then I lost 158 of them so eventually I am left with 52 of them now). My father also has 34 kiwis. I also have 73 honor mobiles (received them last week). I also have 59 meizu mobiles (feeling great about this). My aunt has 75 ginger gold apples. My grandmother has 75 trombones. My grandfather also has 5 iphone 13 mobiles. My grandfather also has 45 oppo mobiles. I also have 93 balafons (received them last month). I also have 27 cherrys (I really like them). I also have 60 huawei pura 70 ultra mobiles (I am in love with them). My friend has 66 harps. I also have 66 iphone 5 mobiles (it is a funny story how I have 66 of them: initially I had 47, then I also got another 27 making it a total of 74, then I got another 76 making it a total of 150, but then I lost 84 of them so eventually I am left with 66 of them now). My cousin has 64 oneplus mobiles. I also have 58 apricots (happt to have them). My uncle has 47 trumpets. I also have 65 papayas (here is why I have these many: initially I had 86 of them, then I lost 19 of them, but then I got another 34 of them, but then I lost 36 of them, so at the end I am left with 65 of them). I also have 91 raspberrys (here is why I have these many: initially I had 82 of them, then I lost 54 of them, but then I got another 84 of them, but then I lost 21 of them, so at the end I am left with 91 of them). My grandmother also has 17 lg mobiles. My uncle also has 38 motorola mobiles. My mother has 43 riesling grapes. My sister also has 37 breadfruits. I also have 12 electric pianos (I like these a lot). My friend also has 31 iphone 4 mobiles. My mother also has 91 iphone 15 mobiles. My father also has 70 bass guitars. I also have 18 samsung galaxy a16 mobiles (it is a funny story how I have 18 of them: initially I had 71, then I also got another 72 making it a total of 143, then I got another 36 making it a total of 179, but then I lost 161 of them so eventually I am left with 18 of them now). My uncle also has 92 elderberryoranges. I also have 63 guzhengs (it is a funny story how I have 63 of them: initially I had 97, then I also got another 20 making it a total of 117, then I got another 30 making it a total of 147, but then I lost 84 of them so eventually I am left with 63 of them now). My cousin also has 79 jazz apples. I also have 25 huawei pura 70 pro mobiles (it is a funny story how I have 25 of them: initially I had 16, then I also got another 53 making it a total of 69, then I got another 53 making it a total of 122, but then I lost 97 of them so eventually I am left with 25 of them now). My mother also has 14 pipas. My grandmother also has 69 vivo mobiles. My grandfather also has 72 sazzes. I also have 90 autoharps (here is why I have these many: initially I had 50 of them, then I lost 10 of them, but then I got another 54 of them, but then I lost 4 of them, so at the end I am left with 90 of them). I also have 80 kazoos (received them last month). My aunt also has 82 biwas. I also have 88 samsung galaxy z fold6 mobiles (received them last week). My brother has 22 samsung galaxy a35 mobiles. I also have 79 tecno mobiles (it is a funny story how I have 79 of them: initially I had 49, then I also got another 30 making it a total of 79, then I got another 59 making it a total of 138, but then I lost 59 of them so eventually I am left with 79 of them now). I also have 91 drums (here is why I have these many: initially I had 74 of them, then I lost 52 of them, but then I got another 97 of them, but then I lost 28 of them, so at the end I am left with 91 of them). My mother also has 46 tanpuras. My father also has 28 dates. My uncle also has 15 iphone 6 mobiles. My grandfather also has 41 synthesizer keyboards. My father also has 74 watermelons. My grandfather also has 75 gala apples. My grandmother also has 72 cranberrys. My mother also has 8 syrah grapes. My sister also has 13 nebbiolo grapes. I also have 28 bouzoukis (I am in love with them). I also have 42 huawei pura 70 pro+ mobiles (received them last month). My mother also has 72 castanets. My uncle also has 13 electric bass. My sister also has 1 xiaomi mobiles. My brother also has 28 lychees. My mother also has 20 chardonnay grapes. My aunt also has 43 kalimbas. My cousin also has 20 bansuris. I also have 25 didgeridoos (here is why I have these many: initially I had 48 of them, then I lost 16 of them, but then I got another 98 of them, but then I lost 105 of them, so at the end I am left with 25 of them). I also have 21 ocarinas (it is a funny story how I have 21 of them: initially I had 46, then I also got another 81 making it a total of 127, then I got another 25 making it a total of 152, but then I lost 131 of them so eventually I am left with 21 of them now). I also have 6 double bass (maybe I just need some of them). My sister also has 72 samsung galaxy f05 mobiles. I also have 7 samsung galaxy a15 mobiles (they were given to me as a gift). My mother also has 49 persimmons. My sister also has 23 banjoes. I also have 72 htc mobiles (they are great). My aunt also has 81 harpsichords. I also have 77 nectarines (it is a funny story how I have 77 of them: initially I had 64, then I also got another 75 making it a total of 139, then I got another 34 making it a total of 173, but then I lost 96 of them so eventually I am left with 77 of them now). My mother also has 32 zithers. My grandfather also has 92 sony mobiles. I also have 44 samsung galaxy s24 mobiles (hope to have more in the future). My father also has 26 electric drums. I also have 59 quinces (I like these a lot). I also have 78 samsung galaxy c55 mobiles (thrilled to have these). My uncle also has 2 setars. I also have 47 merlot grapes (they are great). My sister also has 76 mbiras. My grandmother also has 75 iphone x mobiles. My grandfather also has 70 durians. My friend also has 56 xylophones. My friend also has 82 recorders. I also have 28 lutes (it is a funny story how I have 28 of them: initially I had 43, then I also got another 15 making it a total of 58, then I got another 22 making it a total of 80, but then I lost 52 of them so eventually I am left with 28 of them now). My aunt also has 51 kotoes. I also have 73 envy apples (here is why I have these many: initially I had 37 of them, then I lost 10 of them, but then I got another 85 of them, but then I lost 39 of them, so at the end I am left with 73 of them). My father also has 67 organs. My cousin also has 11 huawei mate 70 mobiles. I also have 42 dragonfruits (planning to have more in the future). My uncle also has 15 realme mobiles. I also have 22 pomegranates (I do not think I need this much). I also have 27 grapefruits (I really like them). My grandmother also has 36 grenache grapes. My father also has 52 huawei nova 12i mobiles. I also have 4 mulberrys (received them last month). My grandmother also has 56 iphone 7 mobiles. I also have 80 guitars (maybe I just need some of them). My cousin also has 89 tars. My father also has 64 iphone 16 mobiles. My aunt also has 80 congas. I also have 1 rabab (it is a funny story how I have 1 of them: initially I had 71, then I also got another 79 making it a total of 150, then I got another 79 making it a total of 229, but then I lost 228 of them so eventually I am left with 1 of them now). I also have 92 huawei mate x6 mobiles (very happy to have them). My brother also has 22 nadaswarams. What is the absolute difference of the total number of musical instruments and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:181", "request": "I have 99 samsung galaxy a55 mobiles (here is why I have these many: initially I had 15 of them, then I lost 12 of them, but then I got another 100 of them, but then I lost 4 of them, so at the end I am left with 99 of them). I also have 42 sruti boxes (here is why I have these many: initially I had 28 of them, then I lost 13 of them, but then I got another 91 of them, but then I lost 64 of them, so at the end I am left with 42 of them). My father has 53 iphone 7 mobiles. My mother has 87 samsung galaxy s24 mobiles. My aunt has 81 panpipes. My father also has 81 impalas. My sister has 29 ponys. I also have 3 ravens (received them yesterday). I also have 13 sony mobiles (here is why I have these many: initially I had 77 of them, then I lost 15 of them, but then I got another 55 of them, but then I lost 104 of them, so at the end I am left with 13 of them). I also have 85 violins (received them last week). My grandfather has 57 blackberry mobiles. I also have 64 skunks (I really like them). I also have 70 trumpets (it is a funny story how I have 70 of them: initially I had 27, then I also got another 54 making it a total of 81, then I got another 11 making it a total of 92, but then I lost 22 of them so eventually I am left with 70 of them now). I also have 7 organs (it is a funny story how I have 7 of them: initially I had 56, then I also got another 39 making it a total of 95, then I got another 26 making it a total of 121, but then I lost 114 of them so eventually I am left with 7 of them now). I also have 65 kotoes (planning to have more in the future). My uncle has 70 flys. I also have 44 iphone 14 mobiles (here is why I have these many: initially I had 43 of them, then I lost 36 of them, but then I got another 65 of them, but then I lost 28 of them, so at the end I am left with 44 of them). My father also has 71 elks. I also have 81 french horns (feeling great about this). I also have 55 sitars (here is why I have these many: initially I had 32 of them, then I lost 12 of them, but then I got another 79 of them, but then I lost 44 of them, so at the end I am left with 55 of them). My grandmother has 63 huawei pura 70 ultra mobiles. My father also has 69 bagpipes. My cousin has 38 accordions. My uncle also has 38 autoharps. I also have 13 didgeridoos (here is why I have these many: initially I had 58 of them, then I lost 35 of them, but then I got another 12 of them, but then I lost 22 of them, so at the end I am left with 13 of them). My brother has 76 iphone 15 mobiles. I also have 8 shrews (it is a funny story how I have 8 of them: initially I had 16, then I also got another 30 making it a total of 46, then I got another 33 making it a total of 79, but then I lost 71 of them so eventually I am left with 8 of them now). My cousin also has 35 samsung galaxy f05 mobiles. I also have 76 harpsichords (thrilled to have these). I also have 55 snails (it is a funny story how I have 55 of them: initially I had 48, then I also got another 80 making it a total of 128, then I got another 93 making it a total of 221, but then I lost 166 of them so eventually I am left with 55 of them now). I also have 93 dulcimers (I like these a lot). I also have 68 vibraphone, steelpans (received them last week). My aunt also has 88 sloths. I also have 45 squirrels (I like these a lot). My uncle also has 29 ocarinas. I also have 8 bansuris (they are great). My friend has 88 roosters. My aunt also has 82 rattlesnakes. My friend also has 67 corgis. I also have 23 iphone 12 mobiles (very happy to have them). I also have 55 honor mobiles (it is a funny story how I have 55 of them: initially I had 95, then I also got another 22 making it a total of 117, then I got another 79 making it a total of 196, but then I lost 141 of them so eventually I am left with 55 of them now). I also have 28 marimbas (it is a funny story how I have 28 of them: initially I had 97, then I also got another 67 making it a total of 164, then I got another 48 making it a total of 212, but then I lost 184 of them so eventually I am left with 28 of them now). My sister also has 17 tablas. I also have 86 bassoons (feeling great about this). My uncle also has 65 zte mobiles. I also have 28 koras (received them last month). I also have 55 samsung galaxy c55 mobiles (received them last week). My mother also has 52 electric cellos. I also have 78 realme mobiles (they were given to me as a gift). I also have 41 pandas (it is a funny story how I have 41 of them: initially I had 60, then I also got another 19 making it a total of 79, then I got another 46 making it a total of 125, but then I lost 84 of them so eventually I am left with 41 of them now). I also have 31 iphone 16 mobiles (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 79 of them, but then I lost 49 of them, so at the end I am left with 31 of them). My uncle also has 41 nokia mobiles. My friend also has 70 butterflys. I also have 89 kazoos (thrilled to have these). I also have 60 clavichords (thrilled to have these). My uncle also has 48 ferrets. I also have 15 huawei nova 12i mobiles (it is a funny story how I have 15 of them: initially I had 37, then I also got another 71 making it a total of 108, then I got another 41 making it a total of 149, but then I lost 134 of them so eventually I am left with 15 of them now). I also have 35 frogs (it is a funny story how I have 35 of them: initially I had 28, then I also got another 91 making it a total of 119, then I got another 92 making it a total of 211, but then I lost 176 of them so eventually I am left with 35 of them now). I also have 32 vivo mobiles (feeling good about this). I also have 77 bouzoukis (here is why I have these many: initially I had 67 of them, then I lost 11 of them, but then I got another 60 of them, but then I lost 39 of them, so at the end I am left with 77 of them). My friend also has 87 samsung galaxy a35 mobiles. My brother also has 97 tigers. I also have 62 mules (here is why I have these many: initially I had 30 of them, then I lost 16 of them, but then I got another 67 of them, but then I lost 19 of them, so at the end I am left with 62 of them). My uncle also has 14 htc mobiles. I also have 13 seals (here is why I have these many: initially I had 13 of them, then I lost 12 of them, but then I got another 93 of them, but then I lost 81 of them, so at the end I am left with 13 of them). My mother also has 68 huawei pura 70 pro mobiles. My grandmother also has 73 infinix mobiles. My sister also has 89 oppo mobiles. My aunt also has 75 huawei mate x6 mobiles. My grandmother also has 24 biwas. My sister also has 66 chinchillas. I also have 94 huawei nova 12 pro mobiles (hope to have more in the future). My grandfather also has 63 bears. My sister also has 28 iphone 8 mobiles. My grandmother also has 50 iphone 4 mobiles. My father also has 11 bees. My uncle also has 11 black rat snakes. I also have 21 kingsnakes (one day, I will have more of them). I also have 55 tambourines (it is a funny story how I have 55 of them: initially I had 38, then I also got another 84 making it a total of 122, then I got another 58 making it a total of 180, but then I lost 125 of them so eventually I am left with 55 of them now). My grandmother also has 60 narwhals. My aunt also has 20 trout. My sister also has 65 mbiras. My mother also has 14 samsung galaxy a15 mobiles. My uncle also has 43 iphone 13 mobiles. My sister also has 41 glockenspiels. My father also has 31 saxophones. I also have 44 boa snakes (here is why I have these many: initially I had 89 of them, then I lost 75 of them, but then I got another 34 of them, but then I lost 4 of them, so at the end I am left with 44 of them). My aunt also has 20 guitars. My friend also has 95 mridangams. My friend also has 87 samsung galaxy m55s mobiles. My sister also has 41 samsung galaxy tab s10 mobiles. My cousin also has 43 huawei pura 70 pro+ mobiles. I also have 53 meizu mobiles (they were given to me as a gift). My cousin also has 16 trombones. I also have 3 zithers (I really like them). My sister also has 88 banjoes. My father also has 80 salamanders. I also have 2 huawei nova 13 mobiles (they were given to me as a gift). My friend also has 28 pigs. My friend also has 13 baboons. I also have 53 shamisens (here is why I have these many: initially I had 97 of them, then I lost 92 of them, but then I got another 81 of them, but then I lost 33 of them, so at the end I am left with 53 of them). I also have 97 tecno mobiles (I really like them). My sister also has 87 mamba snakes. My friend also has 52 zebras. I also have 26 shehnais (it is a funny story how I have 26 of them: initially I had 28, then I also got another 15 making it a total of 43, then I got another 36 making it a total of 79, but then I lost 53 of them so eventually I am left with 26 of them now). My brother also has 88 maracas. My grandmother also has 50 giraffes. I also have 64 mandolins (here is why I have these many: initially I had 53 of them, then I lost 23 of them, but then I got another 47 of them, but then I lost 13 of them, so at the end I am left with 64 of them). My uncle also has 23 huawei pura 70 mobiles. I also have 64 alpacas (thrilled to have these). I also have 40 cows (here is why I have these many: initially I had 83 of them, then I lost 38 of them, but then I got another 84 of them, but then I lost 89 of them, so at the end I am left with 40 of them). I also have 68 cellos (planning to have more in the future). My cousin also has 62 tars. I also have 19 lizards (hope to have more in the future). My grandmother also has 88 ukuleles. I also have 56 samsung galaxy z fold5 mobiles (I do not think I need this much). I also have 14 harmonicas (one day, I will have more of them). My cousin also has 60 quails. My cousin also has 96 samsung galaxy a16 mobiles. I also have 17 walrus (it is a funny story how I have 17 of them: initially I had 59, then I also got another 32 making it a total of 91, then I got another 50 making it a total of 141, but then I lost 124 of them so eventually I am left with 17 of them now). My brother also has 53 reindeer. I also have 50 toads (here is why I have these many: initially I had 55 of them, then I lost 31 of them, but then I got another 95 of them, but then I lost 69 of them, so at the end I am left with 50 of them). My mother also has 28 anteaters. What is the sum of the total number of animals/insects and musical instruments that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:187", "request": "My brother has 29 vivo mobiles. I have 13 nokia mobiles (here is why I have these many: initially I had 26 of them, then I lost 19 of them, but then I got another 37 of them, but then I lost 31 of them, so at the end I am left with 13 of them). My brother also has 9 bongos. My grandfather has 12 xylophones. My grandfather also has 26 spartan apples. I also have 72 iphone 16 mobiles (here is why I have these many: initially I had 35 of them, then I lost 29 of them, but then I got another 79 of them, but then I lost 13 of them, so at the end I am left with 72 of them). My grandmother has 9 iphone x mobiles. My uncle has 45 dates. I also have 74 starfruits (it is a funny story how I have 74 of them: initially I had 25, then I also got another 85 making it a total of 110, then I got another 52 making it a total of 162, but then I lost 88 of them so eventually I am left with 74 of them now). My sister has 45 breadfruits. My grandmother also has 69 iphone 15 mobiles. I also have 55 guitars (here is why I have these many: initially I had 60 of them, then I lost 19 of them, but then I got another 93 of them, but then I lost 79 of them, so at the end I am left with 55 of them). My grandfather also has 38 huawei pura 70 pro+ mobiles. My friend has 50 pomegranates. My aunt has 17 coconuts. My friend also has 54 huawei mate x6 mobiles. I also have 16 lychees (I like these a lot). I also have 10 envy apples (it is a funny story how I have 10 of them: initially I had 94, then I also got another 75 making it a total of 169, then I got another 62 making it a total of 231, but then I lost 221 of them so eventually I am left with 10 of them now). My father has 20 glockenspiels. I also have 7 dragonfruits (it is a funny story how I have 7 of them: initially I had 87, then I also got another 30 making it a total of 117, then I got another 25 making it a total of 142, but then I lost 135 of them so eventually I am left with 7 of them now). My grandfather also has 93 samsung galaxy c55 mobiles. My cousin has 31 huawei nova 11 se mobiles. I also have 73 papayas (it is a funny story how I have 73 of them: initially I had 67, then I also got another 51 making it a total of 118, then I got another 26 making it a total of 144, but then I lost 71 of them so eventually I am left with 73 of them now). My cousin also has 73 n'gonis. My grandfather also has 24 iphone 11 mobiles. My brother also has 75 huawei nova 12i mobiles. My grandmother also has 42 sony mobiles. My grandmother also has 55 iphone 5 mobiles. I also have 77 merlot grapes (received them last month). I also have 17 honeydews (maybe I just need some of them). I also have 24 bass guitars (here is why I have these many: initially I had 91 of them, then I lost 35 of them, but then I got another 63 of them, but then I lost 95 of them, so at the end I am left with 24 of them). My friend also has 11 electric pianos. My uncle also has 31 lutes. My aunt also has 52 strawberrys. I also have 74 sitars (it is a funny story how I have 74 of them: initially I had 59, then I also got another 59 making it a total of 118, then I got another 13 making it a total of 131, but then I lost 57 of them so eventually I am left with 74 of them now). I also have 92 ocarinas (here is why I have these many: initially I had 73 of them, then I lost 69 of them, but then I got another 96 of them, but then I lost 8 of them, so at the end I am left with 92 of them). I also have 73 iphone 4 mobiles (it is a funny story how I have 73 of them: initially I had 38, then I also got another 63 making it a total of 101, then I got another 23 making it a total of 124, but then I lost 51 of them so eventually I am left with 73 of them now). I also have 91 violins (here is why I have these many: initially I had 100 of them, then I lost 25 of them, but then I got another 96 of them, but then I lost 80 of them, so at the end I am left with 91 of them). My grandmother also has 60 autumn royal grapes. I also have 26 google (pixel) mobiles (one day, I will have more of them). I also have 7 sruti boxes (it is a funny story how I have 7 of them: initially I had 56, then I also got another 66 making it a total of 122, then I got another 47 making it a total of 169, but then I lost 162 of them so eventually I am left with 7 of them now). I also have 22 lemons (it is a funny story how I have 22 of them: initially I had 57, then I also got another 16 making it a total of 73, then I got another 43 making it a total of 116, but then I lost 94 of them so eventually I am left with 22 of them now). My father also has 70 accordions. I also have 56 raspberrys (received them last month). My brother also has 23 setars. I also have 96 organs (it is a funny story how I have 96 of them: initially I had 11, then I also got another 27 making it a total of 38, then I got another 65 making it a total of 103, but then I lost 7 of them so eventually I am left with 96 of them now). I also have 48 balafons (one day, I will have more of them). I also have 76 samsung galaxy tab s10 mobiles (I like these a lot). My father also has 4 samsung galaxy f05 mobiles. My father also has 13 tars. My brother also has 61 iphone 14 mobiles. I also have 70 didgeridoos (I really like them). My mother has 63 huawei nova 13 mobiles. My father also has 9 bananas. My cousin also has 45 clavichords. My aunt also has 38 rebecs. My grandfather also has 80 cherrys. My uncle also has 86 electric cellos. I also have 25 infinix mobiles (here is why I have these many: initially I had 70 of them, then I lost 19 of them, but then I got another 48 of them, but then I lost 74 of them, so at the end I am left with 25 of them). I also have 30 bansuris (it is a funny story how I have 30 of them: initially I had 36, then I also got another 45 making it a total of 81, then I got another 44 making it a total of 125, but then I lost 95 of them so eventually I am left with 30 of them now). My father also has 95 plantains. My grandmother also has 66 muscat grapes. I also have 5 kiwis (maybe I just need some of them). My mother also has 25 biwas. My aunt also has 94 mulberrys. My grandfather also has 24 timpanis. My sister also has 45 elderberryoranges. My brother also has 56 samsung galaxy a55 mobiles. My cousin also has 43 zte mobiles. My aunt also has 71 syrah grapes. My cousin also has 12 blackberry mobiles. I also have 33 iphone 7 mobiles (it is a funny story how I have 33 of them: initially I had 23, then I also got another 93 making it a total of 116, then I got another 19 making it a total of 135, but then I lost 102 of them so eventually I am left with 33 of them now). My grandmother also has 44 pears. My grandfather also has 75 samsung galaxy a15 mobiles. My grandfather also has 92 vibraphone, steelpans. My aunt also has 90 mandolins. My grandfather also has 32 samsung galaxy s24 mobiles. I also have 95 pinot noir grapes (I really like them). I also have 33 kalimbas (received them last month). I also have 27 mridangams (here is why I have these many: initially I had 18 of them, then I lost 14 of them, but then I got another 56 of them, but then I lost 33 of them, so at the end I am left with 27 of them). I also have 59 harpsichords (it is a funny story how I have 59 of them: initially I had 47, then I also got another 56 making it a total of 103, then I got another 16 making it a total of 119, but then I lost 60 of them so eventually I am left with 59 of them now). My grandmother also has 20 synthesizer keyboards. My grandfather also has 36 xiaomi mobiles. My grandmother also has 81 sazzes. My cousin also has 97 samsung galaxy a16 mobiles. My father also has 45 pipas. I also have 22 watermelons (it is a funny story how I have 22 of them: initially I had 99, then I also got another 52 making it a total of 151, then I got another 96 making it a total of 247, but then I lost 225 of them so eventually I am left with 22 of them now). My sister also has 89 mangoes. I also have 45 lg mobiles (it is a funny story how I have 45 of them: initially I had 23, then I also got another 56 making it a total of 79, then I got another 15 making it a total of 94, but then I lost 49 of them so eventually I am left with 45 of them now). I also have 5 honor mobiles (thrilled to have these). My grandfather also has 35 marimbas. I also have 22 samsung galaxy a35 mobiles (it is a funny story how I have 22 of them: initially I had 83, then I also got another 95 making it a total of 178, then I got another 58 making it a total of 236, but then I lost 214 of them so eventually I am left with 22 of them now). My brother also has 89 panpipes. My mother also has 55 cranberrys. I also have 47 nadaswarams (it is a funny story how I have 47 of them: initially I had 69, then I also got another 81 making it a total of 150, then I got another 37 making it a total of 187, but then I lost 140 of them so eventually I am left with 47 of them now). I also have 66 guavas (here is why I have these many: initially I had 92 of them, then I lost 59 of them, but then I got another 81 of them, but then I lost 48 of them, so at the end I am left with 66 of them). My uncle also has 33 oneplus mobiles. My father also has 88 banjoes. My father also has 82 plums. My brother also has 62 koras. My brother also has 94 castanets. I also have 21 htc mobiles (planning to have more in the future). My friend also has 27 ambrosia apples. My uncle also has 71 blueberrys. I also have 2 cotton candy grapes (feeling good about this). I also have 35 iphone 8 mobiles (I really like them). I also have 82 mbiras (here is why I have these many: initially I had 63 of them, then I lost 56 of them, but then I got another 90 of them, but then I lost 15 of them, so at the end I am left with 82 of them). I also have 23 theremins (one day, I will have more of them). I also have 94 grenache grapes (they are great). My cousin also has 97 chardonnay grapes. I also have 84 cantaloupes (it is a funny story how I have 84 of them: initially I had 66, then I also got another 78 making it a total of 144, then I got another 42 making it a total of 186, but then I lost 102 of them so eventually I am left with 84 of them now). I also have 45 meizu mobiles (one day, I will have more of them). I also have 47 zithers (I really like them). I also have 64 trumpets (here is why I have these many: initially I had 35 of them, then I lost 31 of them, but then I got another 63 of them, but then I lost 3 of them, so at the end I am left with 64 of them). I also have 1 persimmon (it is a funny story how I have 1 of them: initially I had 22, then I also got another 73 making it a total of 95, then I got another 75 making it a total of 170, but then I lost 169 of them so eventually I am left with 1 of them now). My friend also has 64 bassoons. What is the absolute difference of the total number of fruits and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:188", "request": "My grandmother has 76 honda element cars. I have 28 samsung galaxy z fold6 mobiles (received them yesterday). My grandmother also has 1 iphone 13 mobiles. My uncle has 92 guzhengs. My mother has 62 huawei mate 70 mobiles. My friend has 98 timpanis. My brother has 13 clavichords. My cousin has 22 violins. My sister has 73 ocarinas. My father has 32 iphone 5 mobiles. I also have 83 mazda cx-3 cars (received them last week). My aunt has 58 sruti boxes. I also have 73 toyota prius cars (received them last week). I also have 16 blackberry mobiles (received them yesterday). My mother also has 15 iphone 4 mobiles. My grandmother also has 64 toyota corolla cars. I also have 18 bouzoukis (they are great). My mother also has 5 iphone 15 mobiles. My mother also has 99 autoharps. My grandfather has 57 infinix mobiles. My uncle also has 72 honda pilot cars. My cousin also has 86 subaru ascent cars. My cousin also has 28 mazda cx-80 cars. I also have 84 harpsichords (it is a funny story how I have 84 of them: initially I had 10, then I also got another 90 making it a total of 100, then I got another 35 making it a total of 135, but then I lost 51 of them so eventually I am left with 84 of them now). My sister also has 29 kalimbas. I also have 32 balafons (here is why I have these many: initially I had 18 of them, then I lost 14 of them, but then I got another 35 of them, but then I lost 7 of them, so at the end I am left with 32 of them). I also have 3 iphone 12 mobiles (it is a funny story how I have 3 of them: initially I had 39, then I also got another 37 making it a total of 76, then I got another 34 making it a total of 110, but then I lost 107 of them so eventually I am left with 3 of them now). I also have 61 huawei nova 13 mobiles (it is a funny story how I have 61 of them: initially I had 61, then I also got another 84 making it a total of 145, then I got another 56 making it a total of 201, but then I lost 140 of them so eventually I am left with 61 of them now). My brother also has 27 clarinets. My mother also has 44 htc mobiles. I also have 75 mazda cx-5 cars (it is a funny story how I have 75 of them: initially I had 14, then I also got another 29 making it a total of 43, then I got another 81 making it a total of 124, but then I lost 49 of them so eventually I am left with 75 of them now). My grandfather also has 62 bongos. My mother also has 26 mazda cx-50 cars. I also have 68 shamisens (planning to have more in the future). My uncle also has 84 nissan rogue cars. My brother also has 51 vivo mobiles. I also have 72 mazda mx-30 cars (it is a funny story how I have 72 of them: initially I had 30, then I also got another 97 making it a total of 127, then I got another 24 making it a total of 151, but then I lost 79 of them so eventually I am left with 72 of them now). My friend also has 4 trumpets. I also have 5 nissan armada cars (hope to have more in the future). I also have 11 lutes (they are great). My sister also has 60 samsung galaxy a16 mobiles. I also have 46 samsung galaxy c55 mobiles (here is why I have these many: initially I had 83 of them, then I lost 51 of them, but then I got another 41 of them, but then I lost 27 of them, so at the end I am left with 46 of them). I also have 72 electric drums (planning to have more in the future). My brother also has 99 huawei mate x6 mobiles. My brother also has 43 electric guitars. I also have 26 samsung galaxy m55s mobiles (here is why I have these many: initially I had 19 of them, then I lost 18 of them, but then I got another 42 of them, but then I lost 17 of them, so at the end I am left with 26 of them). My mother also has 33 nissan titan cars. My friend also has 45 audi a6 cars. My cousin also has 78 volkswagen golf cars. I also have 63 buick enclave cars (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 75 of them, but then I lost 14 of them, so at the end I am left with 63 of them). My aunt also has 11 setars. My mother also has 59 drums. My mother also has 46 nokia mobiles. My father also has 39 honda cr-z cars. My mother also has 52 huawei nova 12 pro mobiles. I also have 96 iphone x mobiles (here is why I have these many: initially I had 62 of them, then I lost 42 of them, but then I got another 78 of them, but then I lost 2 of them, so at the end I am left with 96 of them). My brother also has 58 flutes. My grandmother also has 14 mbiras. I also have 94 mazda cx-30 cars (one day, I will have more of them). I also have 76 oneplus mobiles (here is why I have these many: initially I had 90 of them, then I lost 29 of them, but then I got another 72 of them, but then I lost 57 of them, so at the end I am left with 76 of them). My brother also has 40 honda insight cars. I also have 81 realme mobiles (very happy to have them). My grandmother also has 20 lg mobiles. My grandmother also has 84 iphone 7 mobiles. My mother also has 39 recorders. My grandfather also has 34 google (pixel) mobiles. My father also has 57 oboes. My father also has 82 harps. I also have 89 mridangams (it is a funny story how I have 89 of them: initially I had 54, then I also got another 47 making it a total of 101, then I got another 99 making it a total of 200, but then I lost 111 of them so eventually I am left with 89 of them now). I also have 69 ford edge cars (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 91 of them, but then I lost 24 of them, so at the end I am left with 69 of them). I also have 46 cellos (received them last week). I also have 51 nissan ariya cars (I am in love with them). My grandfather also has 38 sazzes. My grandmother also has 17 dodge challenger cars. I also have 14 toyota camry cars (it is a funny story how I have 14 of them: initially I had 81, then I also got another 99 making it a total of 180, then I got another 20 making it a total of 200, but then I lost 186 of them so eventually I am left with 14 of them now). I also have 85 huawei nova 12s mobiles (it is a funny story how I have 85 of them: initially I had 22, then I also got another 40 making it a total of 62, then I got another 26 making it a total of 88, but then I lost 3 of them so eventually I am left with 85 of them now). My friend also has 14 nissan frintier cars. My grandmother also has 57 koras. I also have 83 double bass (it is a funny story how I have 83 of them: initially I had 64, then I also got another 87 making it a total of 151, then I got another 71 making it a total of 222, but then I lost 139 of them so eventually I am left with 83 of them now). My aunt also has 39 sitars. I also have 48 honda cr-v cars (planning to have more in the future). My mother also has 45 nissan altima cars. My sister also has 95 mazda cx-70 cars. I also have 57 samsung galaxy a35 mobiles (here is why I have these many: initially I had 30 of them, then I lost 16 of them, but then I got another 63 of them, but then I lost 20 of them, so at the end I am left with 57 of them). I also have 17 honda hr-v cars (here is why I have these many: initially I had 12 of them, then I lost 10 of them, but then I got another 34 of them, but then I lost 19 of them, so at the end I am left with 17 of them). My sister also has 2 kazoos. My sister also has 49 toyota sienna cars. I also have 99 bassoons (received them yesterday). My grandfather also has 46 mazda3 cars. My sister also has 79 nissan murano cars. My grandmother also has 35 bagpipes. I also have 23 nissan kicks cars (here is why I have these many: initially I had 41 of them, then I lost 24 of them, but then I got another 27 of them, but then I lost 21 of them, so at the end I am left with 23 of them). My friend also has 2 zte mobiles. My father also has 36 iphone 14 mobiles. I also have 24 huawei pura 70 pro mobiles (here is why I have these many: initially I had 58 of them, then I lost 53 of them, but then I got another 99 of them, but then I lost 80 of them, so at the end I am left with 24 of them). My sister also has 40 french horns. I also have 15 nissan maxima cars (it is a funny story how I have 15 of them: initially I had 94, then I also got another 89 making it a total of 183, then I got another 85 making it a total of 268, but then I lost 253 of them so eventually I am left with 15 of them now). I also have 53 biwas (I do not think I need this much). My father also has 79 toyota 4runnertoyota sequoia cars. I also have 96 toyota highlander cars (it is a funny story how I have 96 of them: initially I had 69, then I also got another 96 making it a total of 165, then I got another 70 making it a total of 235, but then I lost 139 of them so eventually I am left with 96 of them now). I also have 72 iphone 8 mobiles (they are great). My grandmother also has 72 samsung galaxy a15 mobiles. My grandfather also has 57 tecno mobiles. I also have 11 electric bass (here is why I have these many: initially I had 27 of them, then I lost 26 of them, but then I got another 50 of them, but then I lost 40 of them, so at the end I am left with 11 of them). I also have 75 mazda6 cars (here is why I have these many: initially I had 15 of them, then I lost 10 of them, but then I got another 85 of them, but then I lost 15 of them, so at the end I am left with 75 of them). I also have 3 samsung galaxy a55 mobiles (here is why I have these many: initially I had 17 of them, then I lost 14 of them, but then I got another 78 of them, but then I lost 78 of them, so at the end I am left with 3 of them). I also have 95 nissan sentra cars (it is a funny story how I have 95 of them: initially I had 73, then I also got another 58 making it a total of 131, then I got another 89 making it a total of 220, but then I lost 125 of them so eventually I am left with 95 of them now). I also have 34 samsung galaxy tab s10 mobiles (it is a funny story how I have 34 of them: initially I had 56, then I also got another 82 making it a total of 138, then I got another 34 making it a total of 172, but then I lost 138 of them so eventually I am left with 34 of them now). My brother also has 13 harmonicas. I also have 78 electric cellos (here is why I have these many: initially I had 20 of them, then I lost 17 of them, but then I got another 89 of them, but then I lost 14 of them, so at the end I am left with 78 of them). My friend also has 9 hyundai elantra cars. My father also has 19 xiaomi mobiles. I also have 35 honda prologuq cars (happt to have them). My aunt also has 29 honor mobiles. My uncle also has 85 honda accord cars. I also have 80 theremins (here is why I have these many: initially I had 96 of them, then I lost 10 of them, but then I got another 68 of them, but then I lost 74 of them, so at the end I am left with 80 of them). I also have 81 samsung galaxy s24 mobiles (I am in love with them). What is the absolute difference of the total number of musical instruments and mobiles that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:190", "request": "I have 71 double bass (it is a funny story how I have 71 of them: initially I had 43, then I also got another 68 making it a total of 111, then I got another 86 making it a total of 197, but then I lost 126 of them so eventually I am left with 71 of them now). My cousin has 82 toyota rav4 cars. My grandmother has 68 sitars. I also have 12 honda insight cars (I really like them). I also have 64 electric violins (here is why I have these many: initially I had 99 of them, then I lost 68 of them, but then I got another 92 of them, but then I lost 59 of them, so at the end I am left with 64 of them). I also have 93 subaru impreza cars (very happy to have them). My friend has 56 htc mobiles. I also have 24 toyota sienna cars (one day, I will have more of them). My brother has 87 bassoons. I also have 10 shehnais (here is why I have these many: initially I had 95 of them, then I lost 52 of them, but then I got another 53 of them, but then I lost 86 of them, so at the end I am left with 10 of them). My uncle has 97 trombones. My brother also has 38 pipas. My uncle also has 38 huawei mate 70 mobiles. I also have 25 infinix mobiles (it is a funny story how I have 25 of them: initially I had 51, then I also got another 49 making it a total of 100, then I got another 92 making it a total of 192, but then I lost 167 of them so eventually I am left with 25 of them now). My father has 44 castanets. My friend also has 78 iphone x mobiles. I also have 37 violins (here is why I have these many: initially I had 82 of them, then I lost 21 of them, but then I got another 31 of them, but then I lost 55 of them, so at the end I am left with 37 of them). My uncle also has 47 huawei pura 70 mobiles. My friend also has 53 mazda6 cars. My brother also has 14 volkswagen golf cars. My father also has 50 samsung galaxy c55 mobiles. I also have 5 toyota camry cars (I like these a lot). My grandmother also has 22 setars. My uncle also has 85 iphone 16 mobiles. My brother also has 2 huawei mate x6 mobiles. I also have 50 samsung galaxy a15 mobiles (received them yesterday). I also have 91 bansuris (one day, I will have more of them). My uncle also has 37 biwas. I also have 69 xylophones (here is why I have these many: initially I had 47 of them, then I lost 19 of them, but then I got another 89 of them, but then I lost 48 of them, so at the end I am left with 69 of them). I also have 7 nissan kicks cars (planning to have more in the future). My sister has 26 mazda mx-30 cars. My aunt has 25 mazda3 cars. I also have 6 iphone 12 mobiles (here is why I have these many: initially I had 47 of them, then I lost 15 of them, but then I got another 91 of them, but then I lost 117 of them, so at the end I am left with 6 of them). My uncle also has 45 toyota c-hr cars. I also have 1 samsung galaxy a35 mobiles (it is a funny story how I have 1 of them: initially I had 88, then I also got another 33 making it a total of 121, then I got another 63 making it a total of 184, but then I lost 183 of them so eventually I am left with 1 of them now). I also have 13 tambourines (it is a funny story how I have 13 of them: initially I had 66, then I also got another 97 making it a total of 163, then I got another 70 making it a total of 233, but then I lost 220 of them so eventually I am left with 13 of them now). I also have 36 iphone 7 mobiles (here is why I have these many: initially I had 43 of them, then I lost 36 of them, but then I got another 35 of them, but then I lost 6 of them, so at the end I am left with 36 of them). I also have 99 honda accord cars (it is a funny story how I have 99 of them: initially I had 100, then I also got another 55 making it a total of 155, then I got another 64 making it a total of 219, but then I lost 120 of them so eventually I am left with 99 of them now). My aunt also has 52 huawei pura 70 ultra mobiles. My aunt also has 43 honda hr-v cars. I also have 32 vibraphone, steelpans (it is a funny story how I have 32 of them: initially I had 18, then I also got another 59 making it a total of 77, then I got another 59 making it a total of 136, but then I lost 104 of them so eventually I am left with 32 of them now). I also have 32 theremins (I really like them). My grandfather has 2 mazda cx-30 cars. I also have 66 nissan leaf cars (thrilled to have these). I also have 85 honda cr-v cars (maybe I just need some of them). My grandmother also has 94 samsung galaxy m55s mobiles. I also have 3 buick enclave cars (here is why I have these many: initially I had 79 of them, then I lost 56 of them, but then I got another 21 of them, but then I lost 41 of them, so at the end I am left with 3 of them). I also have 77 electric cellos (I do not think I need this much). I also have 41 huawei pura 70 pro+ mobiles (it is a funny story how I have 41 of them: initially I had 11, then I also got another 38 making it a total of 49, then I got another 11 making it a total of 60, but then I lost 19 of them so eventually I am left with 41 of them now). My mother has 33 bass guitars. My aunt also has 93 honda cr-z cars. My mother also has 75 subaru outback cars. I also have 6 toyota prius cars (feeling good about this). I also have 77 sazzes (it is a funny story how I have 77 of them: initially I had 52, then I also got another 15 making it a total of 67, then I got another 38 making it a total of 105, but then I lost 28 of them so eventually I am left with 77 of them now). My friend also has 22 pianos. My brother also has 51 nissan pathfinder cars. My grandfather also has 37 iphone 5 mobiles. My brother also has 95 jeep gladiator cars. My aunt also has 13 iphone 15 mobiles. My friend also has 74 mazda cx-50 cars. My brother also has 51 huawei nova 12s mobiles. My mother also has 44 samsung galaxy tab s10 mobiles. My grandfather also has 25 mridangams. I also have 82 honda pilot cars (I really like them). I also have 86 ukuleles (one day, I will have more of them). My grandmother also has 62 toyota 4runnertoyota sequoia cars. I also have 99 blackberry mobiles (it is a funny story how I have 99 of them: initially I had 84, then I also got another 30 making it a total of 114, then I got another 79 making it a total of 193, but then I lost 94 of them so eventually I am left with 99 of them now). My mother also has 8 tanpuras. My friend also has 2 oppo mobiles. My sister also has 70 honda element cars. My cousin also has 58 oboes. My grandfather also has 44 iphone 6 mobiles. My friend also has 48 flutes. My brother also has 34 audi a6 cars. I also have 89 huawei pura 70 pro mobiles (I like these a lot). My friend also has 28 nokia mobiles. I also have 12 saxophones (received them yesterday). I also have 37 maracas (it is a funny story how I have 37 of them: initially I had 35, then I also got another 25 making it a total of 60, then I got another 87 making it a total of 147, but then I lost 110 of them so eventually I am left with 37 of them now). I also have 88 huawei nova 12 pro mobiles (here is why I have these many: initially I had 68 of them, then I lost 39 of them, but then I got another 87 of them, but then I lost 28 of them, so at the end I am left with 88 of them). My friend also has 71 drums. My father also has 59 huawei nova 12i mobiles. I also have 1 nissan titan cars (it is a funny story how I have 1 of them: initially I had 38, then I also got another 88 making it a total of 126, then I got another 51 making it a total of 177, but then I lost 176 of them so eventually I am left with 1 of them now). I also have 47 tecno mobiles (I do not think I need this much). My mother also has 64 autoharps. I also have 99 hyundai santa fe cars (hope to have more in the future). My sister also has 79 erhus. My uncle also has 12 subaru ascent cars. I also have 99 nissan frintier cars (it is a funny story how I have 99 of them: initially I had 30, then I also got another 25 making it a total of 55, then I got another 73 making it a total of 128, but then I lost 29 of them so eventually I am left with 99 of them now). I also have 11 sruti boxes (planning to have more in the future). I also have 10 dulcimers (here is why I have these many: initially I had 15 of them, then I lost 14 of them, but then I got another 28 of them, but then I lost 19 of them, so at the end I am left with 10 of them). I also have 90 iphone 14 mobiles (it is a funny story how I have 90 of them: initially I had 33, then I also got another 84 making it a total of 117, then I got another 27 making it a total of 144, but then I lost 54 of them so eventually I am left with 90 of them now). I also have 59 mazda2 cars (I really like them). I also have 24 hyundai elantra cars (it is a funny story how I have 24 of them: initially I had 58, then I also got another 84 making it a total of 142, then I got another 38 making it a total of 180, but then I lost 156 of them so eventually I am left with 24 of them now). My mother also has 68 honda civic cars. I also have 54 organs (they are great). My grandmother also has 42 nissan armada cars. My brother also has 23 rebecs. My father also has 50 pennywhistles. My mother also has 56 toyota highlander cars. My uncle also has 71 huawei nova 11 se mobiles. My father also has 77 toyota avalon cars. I also have 95 tamburas (it is a funny story how I have 95 of them: initially I had 72, then I also got another 22 making it a total of 94, then I got another 35 making it a total of 129, but then I lost 34 of them so eventually I am left with 95 of them now). My grandfather also has 62 vivo mobiles. My grandmother also has 88 kia niro cars. I also have 51 panpipes (received them last week). My brother also has 73 french horns. I also have 71 electric pianos (I like these a lot). I also have 49 bagpipes (here is why I have these many: initially I had 61 of them, then I lost 59 of them, but then I got another 79 of them, but then I lost 32 of them, so at the end I am left with 49 of them). My aunt also has 32 samsung galaxy a55 mobiles. My uncle also has 40 ocarinas. My grandfather also has 42 toyota tundra cars. My uncle also has 46 cellos. I also have 97 kotoes (hope to have more in the future). I also have 11 realme mobiles (feeling good about this). My friend also has 72 kazoos. I also have 92 lg mobiles (it is a funny story how I have 92 of them: initially I had 85, then I also got another 20 making it a total of 105, then I got another 29 making it a total of 134, but then I lost 42 of them so eventually I am left with 92 of them now). My friend also has 72 samsung galaxy s24 mobiles. I also have 99 accordions (here is why I have these many: initially I had 85 of them, then I lost 58 of them, but then I got another 84 of them, but then I lost 12 of them, so at the end I am left with 99 of them). I also have 77 samsung galaxy z fold6 mobiles (planning to have more in the future). My friend also has 54 synthesizer keyboards. My aunt also has 75 nissan altima cars. I also have 31 ford edge cars (happt to have them). My grandmother also has 95 lutes. My grandfather also has 88 samsung galaxy f05 mobiles. I also have 21 rababs (I really like them). What is the absolute difference of the total number of mobiles and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:192", "request": "My aunt has 13 electric drums. My friend has 78 guzhengs. I have 12 harps (feeling great about this). My mother has 78 nissan armada cars. I also have 6 ducks (here is why I have these many: initially I had 98 of them, then I lost 53 of them, but then I got another 91 of them, but then I lost 130 of them, so at the end I am left with 6 of them). My uncle has 27 chickens. My grandfather has 83 nissan ariya cars. My grandfather also has 40 honda prologuq cars. My grandfather also has 6 banjoes. My sister has 88 subaru ascent cars. I also have 52 rabbits (here is why I have these many: initially I had 44 of them, then I lost 35 of them, but then I got another 84 of them, but then I lost 41 of them, so at the end I am left with 52 of them). I also have 86 nissan pathfinder cars (here is why I have these many: initially I had 41 of them, then I lost 21 of them, but then I got another 80 of them, but then I lost 14 of them, so at the end I am left with 86 of them). I also have 86 walrus (here is why I have these many: initially I had 18 of them, then I lost 12 of them, but then I got another 83 of them, but then I lost 3 of them, so at the end I am left with 86 of them). I also have 87 kia niro cars (received them last month). My brother has 62 mazda cx-70 cars. My father has 59 goldfish. My sister also has 31 sazzes. My grandfather also has 34 cellos. My sister also has 83 tesla model s cars. I also have 89 honda accord cars (here is why I have these many: initially I had 73 of them, then I lost 59 of them, but then I got another 86 of them, but then I lost 11 of them, so at the end I am left with 89 of them). I also have 80 panpipes (I am in love with them). I also have 50 nissan frintier cars (feeling good about this). I also have 67 toyota highlander cars (here is why I have these many: initially I had 49 of them, then I lost 15 of them, but then I got another 51 of them, but then I lost 18 of them, so at the end I am left with 67 of them). My grandmother has 23 corgis. My mother also has 81 nissan rogue cars. My brother also has 3 electric violins. My cousin has 34 rababs. My aunt also has 76 seahorses. My sister also has 43 mridangams. I also have 44 hens (it is a funny story how I have 44 of them: initially I had 62, then I also got another 24 making it a total of 86, then I got another 78 making it a total of 164, but then I lost 120 of them so eventually I am left with 44 of them now). I also have 34 balafons (it is a funny story how I have 34 of them: initially I had 33, then I also got another 43 making it a total of 76, then I got another 88 making it a total of 164, but then I lost 130 of them so eventually I am left with 34 of them now). I also have 31 moose (here is why I have these many: initially I had 94 of them, then I lost 27 of them, but then I got another 52 of them, but then I lost 88 of them, so at the end I am left with 31 of them). I also have 38 wasps (they are great). I also have 5 electric guitars (it is a funny story how I have 5 of them: initially I had 77, then I also got another 80 making it a total of 157, then I got another 29 making it a total of 186, but then I lost 181 of them so eventually I am left with 5 of them now). I also have 41 honda insight cars (I like these a lot). My grandfather also has 9 ravens. My aunt also has 41 groundhogs. My sister also has 2 badgers. My sister also has 8 pigs. My grandmother also has 13 chinchillas. I also have 31 bees (it is a funny story how I have 31 of them: initially I had 13, then I also got another 27 making it a total of 40, then I got another 16 making it a total of 56, but then I lost 25 of them so eventually I am left with 31 of them now). I also have 96 hyundai elantra cars (they were given to me as a gift). My friend also has 65 peacocks. I also have 2 marimbas (hope to have more in the future). I also have 35 chameleons (here is why I have these many: initially I had 99 of them, then I lost 20 of them, but then I got another 53 of them, but then I lost 97 of them, so at the end I am left with 35 of them). My grandfather also has 85 butterflys. My uncle also has 62 subaru outback cars. My uncle also has 13 opossums. My aunt also has 13 ocarinas. My brother also has 54 timpanis. I also have 77 newts (thrilled to have these). My mother also has 50 electric bass. My cousin also has 11 honda passport cars. My mother also has 41 xylophones. My mother also has 73 djembes. I also have 35 vultures (it is a funny story how I have 35 of them: initially I had 36, then I also got another 30 making it a total of 66, then I got another 13 making it a total of 79, but then I lost 44 of them so eventually I am left with 35 of them now). My brother also has 74 vibraphone, steelpans. My grandmother also has 93 koras. My mother also has 53 deer. My brother also has 24 kazoos. I also have 78 electric pianos (received them last week). I also have 1 clavichord (here is why I have these many: initially I had 81 of them, then I lost 50 of them, but then I got another 61 of them, but then I lost 91 of them, so at the end I am left with 1 of them). My grandfather also has 20 tambourines. I also have 1 otter (it is a funny story how I have 1 of them: initially I had 70, then I also got another 65 making it a total of 135, then I got another 62 making it a total of 197, but then I lost 196 of them so eventually I am left with 1 of them now). I also have 60 tigers (here is why I have these many: initially I had 81 of them, then I lost 31 of them, but then I got another 88 of them, but then I lost 78 of them, so at the end I am left with 60 of them). My cousin also has 4 mazda cx-5 cars. My sister also has 71 nissan altima cars. I also have 66 nissan maxima cars (received them last week). My mother also has 25 doves. I also have 79 recorders (here is why I have these many: initially I had 91 of them, then I lost 41 of them, but then I got another 53 of them, but then I lost 24 of them, so at the end I am left with 79 of them). My sister also has 85 toyota c-hr cars. I also have 95 shrimps (here is why I have these many: initially I had 30 of them, then I lost 13 of them, but then I got another 100 of them, but then I lost 22 of them, so at the end I am left with 95 of them). I also have 46 mazda2 cars (it is a funny story how I have 46 of them: initially I had 90, then I also got another 17 making it a total of 107, then I got another 36 making it a total of 143, but then I lost 97 of them so eventually I am left with 46 of them now). My aunt also has 50 toyota avalon cars. I also have 14 elks (happt to have them). My grandfather also has 84 nissan kicks cars. My aunt also has 85 nissan leaf cars. My father also has 14 ford edge cars. My sister also has 46 nissan titan cars. I also have 45 baboons (it is a funny story how I have 45 of them: initially I had 10, then I also got another 12 making it a total of 22, then I got another 30 making it a total of 52, but then I lost 7 of them so eventually I am left with 45 of them now). I also have 25 yaks (here is why I have these many: initially I had 98 of them, then I lost 81 of them, but then I got another 77 of them, but then I lost 69 of them, so at the end I am left with 25 of them). My aunt also has 4 toyota 4runnertoyota sequoia cars. My uncle also has 30 mules. My aunt also has 72 electric cellos. I also have 62 boa snakes (I am in love with them). My cousin also has 5 subaru impreza cars. My aunt also has 47 lemurs. I also have 73 anteaters (it is a funny story how I have 73 of them: initially I had 18, then I also got another 89 making it a total of 107, then I got another 69 making it a total of 176, but then I lost 103 of them so eventually I am left with 73 of them now). My cousin also has 77 sitars. I also have 80 tanpuras (planning to have more in the future). I also have 70 magpies (received them last week). My aunt also has 91 harmonicas. My mother also has 76 tamburas. My sister also has 58 glockenspiels. My grandfather also has 83 donkeys. I also have 37 fish (here is why I have these many: initially I had 53 of them, then I lost 27 of them, but then I got another 87 of them, but then I lost 76 of them, so at the end I am left with 37 of them). My brother also has 51 synthesizer keyboards. My aunt also has 64 trombones. I also have 1 buick enclave cars (hope to have more in the future). I also have 46 hyundai santa fe cars (they are great). I also have 37 ouds (hope to have more in the future). I also have 40 bass guitars (it is a funny story how I have 40 of them: initially I had 38, then I also got another 72 making it a total of 110, then I got another 78 making it a total of 188, but then I lost 148 of them so eventually I am left with 40 of them now). I also have 20 antelopes (here is why I have these many: initially I had 34 of them, then I lost 22 of them, but then I got another 73 of them, but then I lost 65 of them, so at the end I am left with 20 of them). My brother also has 63 alpacas. I also have 99 narwhals (here is why I have these many: initially I had 77 of them, then I lost 75 of them, but then I got another 98 of them, but then I lost 1 of them, so at the end I am left with 99 of them). My grandfather also has 94 lizards. My grandfather also has 73 pianos. My grandmother also has 70 cheetahs. My mother also has 9 nissan sentra cars. My brother also has 40 ukuleles. My brother also has 94 aardvarks. My aunt also has 28 zithers. I also have 39 chimpanzees (it is a funny story how I have 39 of them: initially I had 46, then I also got another 28 making it a total of 74, then I got another 73 making it a total of 147, but then I lost 108 of them so eventually I am left with 39 of them now). My mother also has 27 honda civic cars. My aunt also has 63 cows. What is the absolute difference of the total number of musical instruments and animals/insects that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:193", "request": "I have 73 nissan frintier cars (here is why I have these many: initially I had 32 of them, then I lost 19 of them, but then I got another 93 of them, but then I lost 33 of them, so at the end I am left with 73 of them). I also have 94 merlot grapes (I am in love with them). My mother has 44 kiwis. My aunt has 13 honeycrisp apples. I also have 30 cherrys (it is a funny story how I have 30 of them: initially I had 19, then I also got another 82 making it a total of 101, then I got another 29 making it a total of 130, but then I lost 100 of them so eventually I am left with 30 of them now). I also have 11 kia niro cars (feeling great about this). I also have 27 riesling grapes (received them last month). My brother has 20 huawei pura 70 pro+ mobiles. My cousin has 63 toyota tundra cars. My friend has 31 grapefruits. My cousin also has 36 oneplus mobiles. My aunt also has 57 honda prologuq cars. My sister has 86 nokia mobiles. I also have 65 starfruits (here is why I have these many: initially I had 17 of them, then I lost 16 of them, but then I got another 87 of them, but then I lost 23 of them, so at the end I am left with 65 of them). I also have 32 ginger gold apples (hope to have more in the future). I also have 32 htc mobiles (received them yesterday). My uncle has 46 iphone 6 mobiles. My cousin also has 74 iphone 15 mobiles. My friend also has 97 mazda cx-80 cars. My grandmother has 5 lemons. My grandmother also has 38 huawei nova 12i mobiles. I also have 94 honda cr-z cars (I do not think I need this much). I also have 99 huawei nova 12 pro mobiles (I like these a lot). I also have 34 pinot noir grapes (I do not think I need this much). I also have 44 iphone x mobiles (very happy to have them). My grandmother also has 19 huawei nova 12s mobiles. My grandmother also has 27 hyundai santa fe cars. My mother also has 59 mazda cx-3 cars. I also have 88 plums (received them last month). I also have 50 lg mobiles (one day, I will have more of them). I also have 55 samsung galaxy m55s mobiles (it is a funny story how I have 55 of them: initially I had 70, then I also got another 91 making it a total of 161, then I got another 72 making it a total of 233, but then I lost 178 of them so eventually I am left with 55 of them now). My aunt also has 57 iphone 16 mobiles. My mother also has 61 strawberrys. My sister also has 43 gala apples. My grandmother also has 32 iphone 14 mobiles. My aunt also has 88 subaru outback cars. My aunt also has 63 mulberrys. My friend also has 18 iphone 13 mobiles. My father has 9 bananas. My friend also has 75 mazda cx-5 cars. I also have 91 toyota camry cars (it is a funny story how I have 91 of them: initially I had 15, then I also got another 91 making it a total of 106, then I got another 22 making it a total of 128, but then I lost 37 of them so eventually I am left with 91 of them now). I also have 85 meizu mobiles (thrilled to have these). My grandfather has 87 raspberrys. My uncle also has 57 samsung galaxy a15 mobiles. I also have 96 samsung galaxy a35 mobiles (here is why I have these many: initially I had 50 of them, then I lost 49 of them, but then I got another 98 of them, but then I lost 3 of them, so at the end I am left with 96 of them). My mother also has 22 samsung galaxy c55 mobiles. I also have 18 audi a6 cars (it is a funny story how I have 18 of them: initially I had 78, then I also got another 50 making it a total of 128, then I got another 54 making it a total of 182, but then I lost 164 of them so eventually I am left with 18 of them now). My uncle also has 30 blueberrys. I also have 91 envy apples (maybe I just need some of them). My sister also has 29 cotton candy grapes. I also have 99 chardonnay grapes (received them yesterday). I also have 76 persimmons (received them last week). I also have 16 iphone 7 mobiles (here is why I have these many: initially I had 28 of them, then I lost 21 of them, but then I got another 63 of them, but then I lost 54 of them, so at the end I am left with 16 of them). My uncle also has 49 autumn royal grapes. My mother also has 66 nissan rogue cars. I also have 44 nissan pathfinder cars (I do not think I need this much). My uncle also has 26 nebbiolo grapes. My grandfather also has 66 toyota highlander cars. I also have 9 huawei nova 13 mobiles (here is why I have these many: initially I had 45 of them, then I lost 23 of them, but then I got another 83 of them, but then I lost 96 of them, so at the end I am left with 9 of them). My friend also has 83 nissan armada cars. My brother also has 28 lychees. My mother also has 35 huawei pura 70 mobiles. I also have 54 huawei pura 70 pro mobiles (I like these a lot). My mother also has 31 jeep gladiator cars. I also have 97 buick enclave cars (it is a funny story how I have 97 of them: initially I had 24, then I also got another 97 making it a total of 121, then I got another 67 making it a total of 188, but then I lost 91 of them so eventually I am left with 97 of them now). My father also has 77 nissan maxima cars. My mother also has 9 breadfruits. My uncle also has 21 dates. My grandmother also has 39 honda element cars. I also have 22 mazda mx-30 cars (here is why I have these many: initially I had 31 of them, then I lost 13 of them, but then I got another 66 of them, but then I lost 62 of them, so at the end I am left with 22 of them). My grandfather also has 51 syrah grapes. I also have 27 honda accord cars (it is a funny story how I have 27 of them: initially I had 34, then I also got another 69 making it a total of 103, then I got another 66 making it a total of 169, but then I lost 142 of them so eventually I am left with 27 of them now). I also have 81 ford edge cars (here is why I have these many: initially I had 26 of them, then I lost 21 of them, but then I got another 95 of them, but then I lost 19 of them, so at the end I am left with 81 of them). I also have 89 plantains (it is a funny story how I have 89 of them: initially I had 41, then I also got another 86 making it a total of 127, then I got another 33 making it a total of 160, but then I lost 71 of them so eventually I am left with 89 of them now). My grandfather also has 47 nectarines. I also have 83 toyota c-hr cars (here is why I have these many: initially I had 42 of them, then I lost 34 of them, but then I got another 95 of them, but then I lost 20 of them, so at the end I am left with 83 of them). I also have 56 huawei pura 70 ultra mobiles (received them yesterday). My mother also has 5 honor mobiles. I also have 33 toyota 4runnertoyota sequoia cars (I like these a lot). What is the absolute difference of the total number of fruits and cars that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_counting:195", "request": "I have 23 rattlesnakes (happt to have them). I also have 90 huawei nova 13 mobiles (it is a funny story how I have 90 of them: initially I had 36, then I also got another 54 making it a total of 90, then I got another 12 making it a total of 102, but then I lost 12 of them so eventually I am left with 90 of them now). My sister has 75 htc mobiles. My friend has 91 samsung galaxy f05 mobiles. I also have 37 nebbiolo grapes (received them last month). My cousin has 18 kiwis. I also have 51 newts (they are great). I also have 75 samsung galaxy a15 mobiles (I like these a lot). My grandmother has 62 garter snakes. I also have 59 lg mobiles (here is why I have these many: initially I had 86 of them, then I lost 79 of them, but then I got another 86 of them, but then I lost 34 of them, so at the end I am left with 59 of them). I also have 77 tecno mobiles (planning to have more in the future). My friend also has 34 parrots. My mother has 24 orangutans. My mother also has 3 albatross. I also have 91 vivo mobiles (they were given to me as a gift). I also have 39 pink lady apples (they are great). My sister also has 84 mallards. I also have 35 pineapples (I like these a lot). I also have 44 dolphins (here is why I have these many: initially I had 92 of them, then I lost 81 of them, but then I got another 64 of them, but then I lost 31 of them, so at the end I am left with 44 of them). My friend also has 84 camels. I also have 41 cockroaches (it is a funny story how I have 41 of them: initially I had 70, then I also got another 38 making it a total of 108, then I got another 10 making it a total of 118, but then I lost 77 of them so eventually I am left with 41 of them now). My father has 66 flamingoes. My brother has 44 strawberrys. My father also has 59 samsung galaxy tab s10 mobiles. My uncle has 36 mosquitoes. My brother also has 72 hamsters. I also have 50 huawei pura 70 pro+ mobiles (they are great). My grandfather has 15 mules. My father also has 54 jazz apples. My mother also has 42 syrah grapes. My mother also has 68 corgis. I also have 61 honeycrisp apples (here is why I have these many: initially I had 18 of them, then I lost 17 of them, but then I got another 94 of them, but then I lost 34 of them, so at the end I am left with 61 of them). My uncle also has 57 quinces. My cousin also has 36 blueberrys. I also have 45 oneplus mobiles (feeling great about this). My sister also has 46 meizu mobiles. My cousin also has 31 iphone 13 mobiles. I also have 71 huawei nova 12 pro mobiles (it is a funny story how I have 71 of them: initially I had 31, then I also got another 75 making it a total of 106, then I got another 31 making it a total of 137, but then I lost 66 of them so eventually I am left with 71 of them now). I also have 66 riesling grapes (thrilled to have these). My friend also has 4 starfruits. I also have 45 salmon (here is why I have these many: initially I had 44 of them, then I lost 17 of them, but then I got another 36 of them, but then I lost 18 of them, so at the end I am left with 45 of them). My grandfather also has 67 chardonnay grapes. My friend also has 62 jonagold apples. I also have 82 iphone 14 mobiles (here is why I have these many: initially I had 61 of them, then I lost 47 of them, but then I got another 85 of them, but then I lost 17 of them, so at the end I am left with 82 of them). I also have 93 yaks (it is a funny story how I have 93 of them: initially I had 73, then I also got another 38 making it a total of 111, then I got another 17 making it a total of 128, but then I lost 35 of them so eventually I am left with 93 of them now). My friend also has 92 cherrys. I also have 11 rhinoceros (I really like them). I also have 74 groundhogs (it is a funny story how I have 74 of them: initially I had 92, then I also got another 62 making it a total of 154, then I got another 64 making it a total of 218, but then I lost 144 of them so eventually I am left with 74 of them now). My uncle also has 84 trout. My grandfather also has 38 fuji apples. My brother also has 12 samsung galaxy a35 mobiles. My sister also has 14 zebras. My mother also has 98 chimpanzees. My mother also has 32 samsung galaxy z fold6 mobiles. I also have 92 bats (it is a funny story how I have 92 of them: initially I had 41, then I also got another 89 making it a total of 130, then I got another 87 making it a total of 217, but then I lost 125 of them so eventually I am left with 92 of them now). My grandfather also has 6 xiaomi mobiles. I also have 93 vultures (I am in love with them). My cousin also has 34 raspberrys. I also have 8 rats (feeling good about this). My grandmother also has 78 zte mobiles. My brother also has 66 echidnas. My cousin also has 11 iphone 5 mobiles. I also have 37 cranberrys (here is why I have these many: initially I had 17 of them, then I lost 11 of them, but then I got another 42 of them, but then I lost 11 of them, so at the end I am left with 37 of them). My grandmother also has 23 boa snakes. My aunt has 15 hippopotamus. My aunt also has 17 papayas. My uncle also has 34 pomegranates. My mother also has 57 magpies. I also have 22 samsung galaxy c55 mobiles (it is a funny story how I have 22 of them: initially I had 66, then I also got another 71 making it a total of 137, then I got another 45 making it a total of 182, but then I lost 160 of them so eventually I am left with 22 of them now). My grandfather also has 49 ginger gold apples. I also have 50 emus (feeling great about this). My aunt also has 80 ferrets. My aunt also has 46 ants. My father also has 53 clementinefigs. My sister also has 42 iphone 12 mobiles. My sister also has 21 hyenas. My aunt also has 8 huawei pura 70 pro mobiles. My grandmother also has 28 iphone x mobiles. I also have 35 sheep (thrilled to have these). My sister also has 58 dates. I also have 54 cantaloupes (it is a funny story how I have 54 of them: initially I had 45, then I also got another 18 making it a total of 63, then I got another 34 making it a total of 97, but then I lost 43 of them so eventually I am left with 54 of them now). I also have 22 lemurs (happt to have them). I also have 45 swans (I like these a lot). My friend also has 6 infinix mobiles. I also have 44 black rat snakes (here is why I have these many: initially I had 62 of them, then I lost 26 of them, but then I got another 39 of them, but then I lost 31 of them, so at the end I am left with 44 of them). I also have 94 jackfruits (it is a funny story how I have 94 of them: initially I had 54, then I also got another 60 making it a total of 114, then I got another 28 making it a total of 142, but then I lost 48 of them so eventually I am left with 94 of them now). My father also has 35 mulberrys. I also have 87 dogs (feeling good about this). I also have 85 sony mobiles (here is why I have these many: initially I had 44 of them, then I lost 26 of them, but then I got another 92 of them, but then I lost 25 of them, so at the end I am left with 85 of them). My uncle also has 14 llamas. My aunt also has 38 pears. I also have 24 alligators (planning to have more in the future). My brother also has 52 persimmons. I also have 86 dragonfruits (it is a funny story how I have 86 of them: initially I had 93, then I also got another 48 making it a total of 141, then I got another 33 making it a total of 174, but then I lost 88 of them so eventually I am left with 86 of them now). I also have 97 huawei nova 12i mobiles (it is a funny story how I have 97 of them: initially I had 54, then I also got another 13 making it a total of 67, then I got another 86 making it a total of 153, but then I lost 56 of them so eventually I am left with 97 of them now). I also have 12 spartan apples (it is a funny story how I have 12 of them: initially I had 63, then I also got another 100 making it a total of 163, then I got another 72 making it a total of 235, but then I lost 223 of them so eventually I am left with 12 of them now). My uncle also has 37 iphone 16 mobiles. My grandmother also has 71 seals. My aunt also has 39 google (pixel) mobiles. I also have 2 huawei pura 70 mobiles (very happy to have them). I also have 57 bears (here is why I have these many: initially I had 86 of them, then I lost 51 of them, but then I got another 42 of them, but then I lost 20 of them, so at the end I am left with 57 of them). I also have 91 prairie dogs (I do not think I need this much). My brother also has 95 huawei mate x6 mobiles. My father also has 34 autumn royal grapes. I also have 32 reindeer (received them last month). My sister also has 66 bees. My mother also has 40 tortoises. My friend also has 17 iguanas. I also have 64 merlot grapes (here is why I have these many: initially I had 63 of them, then I lost 42 of them, but then I got another 60 of them, but then I lost 17 of them, so at the end I am left with 64 of them). I also have 77 huawei nova 11 se mobiles (it is a funny story how I have 77 of them: initially I had 27, then I also got another 87 making it a total of 114, then I got another 72 making it a total of 186, but then I lost 109 of them so eventually I am left with 77 of them now). My grandfather also has 69 ladybugs. I also have 91 coconuts (here is why I have these many: initially I had 11 of them, then I lost 10 of them, but then I got another 92 of them, but then I lost 2 of them, so at the end I am left with 91 of them). I also have 47 plums (here is why I have these many: initially I had 58 of them, then I lost 29 of them, but then I got another 36 of them, but then I lost 18 of them, so at the end I am left with 47 of them). My friend also has 50 penguins. My friend also has 68 antelopes. What is the absolute difference of the total number of mobiles and fruits that I have?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:000", "request": "I had a collection of 42 weird items that went through a few changes. Initially, I had an extra-extra-large German pen made of concrete with a smell of wet dog, an extra-large Brazilian saw made of glass with a smell of baking bread, an extra-extra-small Portuguese ball made of plastic with a smell of pine needles, a small British canvas made of plastic with a smell of burning wood, an extra-small Turkish ruler made of ceramic with a smell of garlic, an extra-large French ruler made of glass with a smell of vinegar, an extra-small Japanese hammer made of ceramic with a smell of rose, an extra-extra-small British shoe made of steel with a smell of popcorn, an extra-extra-large Afghan bag made of glass with a smell of coconut, a medium Iranian bicycle made of glass with a smell of rose, a medium Iranian screwdriver made of steel with a smell of wet dog, a small Polish book made of steel with a smell of baking bread, an extra-extra-small Polish umbrella made of glass with a smell of vanilla, an extra-extra-large Turkish key made of steel with a smell of vanilla, a small Turkish scissors made of ceramic with a smell of coffee, a large Mexican fork made of ceramic with a smell of vinegar, a small Turkish speaker made of ceramic with a smell of chocolate, a large French candle made of steel with a smell of chocolate, an extra-large Polish pen made of concrete with a smell of pine needles, an extra-extra-large German vase made of ceramic with a smell of rose, a large Iranian brush made of steel with a smell of rose, an extra-large Brazilian bird made of steel with a smell of coconut, a small French pencil made of concrete with a smell of gasoline, a large Iranian drill made of ceramic with a smell of gasoline, an extra-extra-large Russian lamp made of plastic with a smell of coffee, an extra-extra-large Chinese screwdriver made of plastic with a smell of citrus fruits, an extra-large British drill made of ceramic with a smell of vinegar, an extra-large Russian bottle made of glass with a smell of baking bread, an extra-small French house made of glass with a smell of chocolate, an extra-large Turkish umbrella made of concrete with a smell of chocolate, a small German plier made of plastic with a smell of vinegar, an extra-extra-large Chinese bowl made of plastic with a smell of lavender, an extra-extra-small Canadian speaker made of concrete with a smell of popcorn, an extra-extra-small Japanese sunglasses made of ceramic with a smell of baking bread, an extra-extra-small Brazilian earring made of concrete with a smell of coffee, an extra-extra-small Portuguese clock made of plastic with a smell of coconut, a large Mexican candle made of plastic with a smell of coconut, a large Japanese hammer made of ceramic with a smell of baking bread, a small Canadian trash can made of plastic with a smell of leather, a large Afghan plate made of glass with a smell of lavender, an extra-extra-small Afghan chair made of glass with a smell of vanilla, a large Italian drill made of glass with a smell of chocolate. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 1 was blue, the next 3 were brown, the next 1 was crimson, the next 1 was cyan, the next 1 was gold, the next 1 was gray, the next 3 were green, the next 1 was indigo, the next 1 was magenta, the next 4 were maroon, the next 5 were orange, the next 2 were purple, the next 2 were red, the next 2 were silver, the next 2 were teal, the next 1 was turquoise, the next 2 were violet, the next 2 were white, the next 3 were yellow. Then, for each item of size large in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of pine needles (all other properties the same). After this, my collection had: 6 item(s) made of concrete, 8 item(s) made of glass, 16 item(s) made of plastic, 7 item(s) made of ceramic, 5 item(s) made of steel. Then, my brother replaced any item of size large in my new collection with an exact copy but with one specific size (different from large) and another exact copy but with color maroon. After this, my new collection had: 7 extra-extra-large item(s), 7 extra-large item(s), 8 extra-extra-small item(s), 15 small item(s), 3 extra-small item(s), 2 medium item(s), 8 large item(s). Then, for any item made of steel in my new collection, my sister changed their color to her favorite color and changed their smell to wet dog. After this, my new collection had: 2 beige item(s), 2 black item(s), 1 blue item(s), 2 brown item(s), 1 crimson item(s), 1 cyan item(s), 2 green item(s), 1 indigo item(s), 6 magenta item(s), 12 maroon item(s), 4 orange item(s), 2 purple item(s), 2 red item(s), 2 silver item(s), 2 teal item(s), 1 turquoise item(s), 2 violet item(s), 2 white item(s), 3 yellow item(s). Then, for any item of color black in my new collection, my mom gave me another one of the same item, but with a blue color, Polish origin, extra-large size, coconut smell, and made of glass. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: either color is red, or size is small, or material is steel, or smell is pine needles, or origin is Russian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:003", "request": "I had a collection of 45 weird items that went through a few changes. Initially, I had a medium Italian clock made of glass with a smell of leather, an extra-extra-small Mexican wallet made of ceramic with a smell of garlic, a small British car made of glass with a smell of rose, an extra-extra-large Canadian earring made of concrete with a smell of rose, an extra-extra-small Mexican sunglasses made of ceramic with a smell of burning wood, an extra-large Spanish plate made of steel with a smell of chocolate, an extra-extra-large Spanish drill made of concrete with a smell of baking bread, an extra-extra-large Mexican saw made of steel with a smell of popcorn, an extra-extra-small Iranian chair made of plastic with a smell of coffee, an extra-extra-large Japanese jar made of steel with a smell of coconut, a medium Spanish lamp made of concrete with a smell of coffee, an extra-extra-small Brazilian bowl made of ceramic with a smell of rose, a medium Turkish pen made of ceramic with a smell of gasoline, a small French box made of concrete with a smell of vinegar, an extra-extra-large Polish stapler made of ceramic with a smell of leather, a medium Brazilian apple made of glass with a smell of gasoline, an extra-extra-small Italian bowl made of plastic with a smell of vanilla, a medium Spanish brush made of glass with a smell of leather, a large German apple made of glass with a smell of rose, a large Afghan plate made of concrete with a smell of popcorn, an extra-small British canvas made of steel with a smell of wet dog, a large Spanish sunglasses made of steel with a smell of pine needles, a medium Portuguese earring made of ceramic with a smell of vanilla, a medium Russian box made of glass with a smell of pine needles, a small French umbrella made of glass with a smell of freshly cut grass, an extra-small Russian guitar made of ceramic with a smell of vanilla, an extra-extra-large Turkish spoon made of ceramic with a smell of gasoline, an extra-extra-small Turkish shoe made of concrete with a smell of leather, an extra-extra-large French wrench made of ceramic with a smell of leather, an extra-large Canadian screwdriver made of steel with a smell of baking bread, a large French lamp made of glass with a smell of vanilla, a medium Mexican vase made of glass with a smell of vanilla, a small Russian sofa made of glass with a smell of popcorn, a large German bed made of ceramic with a smell of chocolate, an extra-extra-small British cup made of glass with a smell of vanilla, an extra-extra-large Canadian vase made of concrete with a smell of coffee, an extra-large Canadian hat made of plastic with a smell of coconut, an extra-extra-small Afghan lamp made of steel with a smell of freshly cut grass, a small Iranian knife made of steel with a smell of gasoline, an extra-small Spanish candle made of steel with a smell of vinegar, a medium Afghan canvas made of steel with a smell of coconut, an extra-small Turkish table made of plastic with a smell of coconut, a small German table made of glass with a smell of freshly cut grass, a large Polish shoe made of steel with a smell of coconut, a large Turkish chair made of steel with a smell of vinegar. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 2 were blue, the next 4 were cyan, the next 3 were gold, the next 1 was gray, the next 3 were green, the next 2 were indigo, the next 1 was khaki, the next 1 was magenta, the next 1 was maroon, the next 3 were orange, the next 2 were pink, the next 2 were red, the next 4 were silver, the next 2 were teal, the next 1 was turquoise, the next 2 were violet, the next 6 were white, the next 2 were yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item of color red in my new collection, my mom gave me another one of the same item, but with a gold color, Afghan origin, extra-large size, garlic smell, and made of plastic. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 2 black item(s), 2 cyan item(s), 3 gold item(s), 1 gray item(s), 1 green item(s), 1 indigo item(s), 2 pink item(s), 3 silver item(s), 2 teal item(s), 1 turquoise item(s), 1 violet item(s), 3 white item(s). Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to baking bread. After this, my new collection had: 1 beige item(s), 2 black item(s), 2 brown item(s), 2 cyan item(s), 2 gold item(s), 1 gray item(s), 1 green item(s), 1 indigo item(s), 2 pink item(s), 3 silver item(s), 2 teal item(s), 1 turquoise item(s), 3 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: color is not silver, size is not medium, material is not plastic, smell is not gasoline, and origin is not Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:012", "request": "I had a collection of 34 weird items that went through a few changes. Initially, I had an extra-small Turkish plate made of glass with a smell of coconut, a large Afghan bowl made of ceramic with a smell of coconut, an extra-extra-small German necklace made of steel with a smell of leather, an extra-extra-large Mexican flower pot made of steel with a smell of citrus fruits, an extra-small Iranian table made of steel with a smell of gasoline, an extra-extra-large Polish spoon made of steel with a smell of rose, an extra-extra-large Portuguese house made of plastic with a smell of vanilla, a large Polish cup made of steel with a smell of garlic, an extra-extra-large Afghan apple made of ceramic with a smell of vanilla, a large Iranian pencil made of steel with a smell of popcorn, an extra-small Japanese box made of concrete with a smell of burning wood, an extra-small Mexican drill made of steel with a smell of baking bread, an extra-large Iranian dog made of steel with a smell of chocolate, an extra-large Chinese banana made of concrete with a smell of popcorn, an extra-large Turkish camera made of glass with a smell of burning wood, a medium Japanese shoe made of concrete with a smell of coffee, an extra-extra-large Afghan car made of steel with a smell of baking bread, an extra-extra-large Japanese clock made of concrete with a smell of chocolate, an extra-large Iranian chair made of plastic with a smell of lavender, an extra-extra-small Brazilian flower pot made of ceramic with a smell of gasoline, an extra-extra-large Turkish ring made of plastic with a smell of vanilla, an extra-small Brazilian plier made of plastic with a smell of lavender, an extra-extra-large British stapler made of glass with a smell of garlic, an extra-large Russian house made of glass with a smell of chocolate, an extra-extra-large Japanese shirt made of plastic with a smell of rose, an extra-extra-small Canadian screwdriver made of concrete with a smell of burning wood, an extra-large Iranian guitar made of ceramic with a smell of wet dog, a small French ruler made of glass with a smell of gasoline, a medium British pen made of ceramic with a smell of pine needles, an extra-large Afghan knife made of concrete with a smell of pine needles, a medium Russian sofa made of ceramic with a smell of garlic, a large Portuguese bag made of plastic with a smell of wet dog, an extra-small Mexican hammer made of plastic with a smell of vinegar, an extra-extra-large Turkish bowl made of concrete with a smell of lavender. The color of the items was respectively as follows: the first 1 was beige, the next 2 were blue, the next 2 were brown, the next 2 were cyan, the next 1 was gold, the next 1 was gray, the next 2 were green, the next 1 was indigo, the next 1 was khaki, the next 2 were magenta, the next 2 were orange, the next 2 were pink, the next 2 were purple, the next 1 was red, the next 3 were silver, the next 5 were turquoise, the next 3 were violet, the next 1 was white. Then, for any item with a smell of wet dog, pine needles, or burning wood in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 9 item(s) with coconut smell, 1 item(s) with leather smell, 1 item(s) with citrus fruits smell, 3 item(s) with gasoline smell, 2 item(s) with rose smell, 3 item(s) with vanilla smell, 3 item(s) with garlic smell, 2 item(s) with popcorn smell, 3 item(s) with burning wood smell, 2 item(s) with baking bread smell, 3 item(s) with chocolate smell, 1 item(s) with coffee smell, 3 item(s) with lavender smell, 2 item(s) with wet dog smell, 2 item(s) with pine needles smell, 1 item(s) with vinegar smell. Then, my brother replaced any item of size extra-large in my new collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color teal. After this, my new collection had: 7 extra-small item(s), 5 large item(s), 4 extra-extra-small item(s), 10 extra-extra-large item(s), 14 medium item(s), 10 extra-large item(s), 1 small item(s). Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of pine needles (all other properties the same). After this, my new collection had: 6 item(s) made of glass, 8 item(s) made of ceramic, 9 item(s) made of steel, 8 item(s) made of plastic, 20 item(s) made of concrete. Then, for any item made of steel in my new collection, my sister changed their color to her favorite color and changed their smell to gasoline. After this, my new collection had: 1 beige item(s), 1 blue item(s), 1 cyan item(s), 1 gray item(s), 2 green item(s), 3 magenta item(s), 1 orange item(s), 2 pink item(s), 2 purple item(s), 1 red item(s), 12 silver item(s), 10 teal item(s), 9 turquoise item(s), 4 violet item(s), 1 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is blue, or size is large, or material is plastic, or smell is vanilla, or origin is Afghan? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:015", "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had a small French brush made of steel with a smell of leather, an extra-large Polish screwdriver made of ceramic with a smell of garlic, a medium Portuguese stapler made of ceramic with a smell of gasoline, an extra-extra-small Japanese watch made of steel with a smell of lavender, an extra-extra-large Polish ring made of steel with a smell of garlic, an extra-small Russian bird made of glass with a smell of baking bread, a large Afghan dog made of concrete with a smell of popcorn, an extra-small German ruler made of glass with a smell of rose, an extra-large Portuguese drill made of concrete with a smell of pine needles, an extra-large French saw made of plastic with a smell of baking bread, an extra-extra-large British book made of plastic with a smell of coffee, an extra-extra-small Afghan speaker made of plastic with a smell of vinegar, an extra-small Portuguese vase made of concrete with a smell of burning wood, an extra-small Chinese spoon made of concrete with a smell of popcorn, a medium Afghan chair made of concrete with a smell of leather, an extra-extra-large Turkish box made of glass with a smell of pine needles, a small Iranian trash can made of glass with a smell of burning wood, a large Russian watch made of steel with a smell of vinegar, an extra-extra-large Polish bottle made of steel with a smell of leather, a small Brazilian brush made of ceramic with a smell of burning wood, a large German car made of glass with a smell of coffee, an extra-small French house made of plastic with a smell of vanilla, a small Canadian calculator made of plastic with a smell of popcorn, a large Italian pen made of steel with a smell of leather, an extra-extra-large Spanish plier made of ceramic with a smell of vanilla, an extra-extra-small Polish hammer made of plastic with a smell of coffee, a small Russian house made of concrete with a smell of chocolate, an extra-extra-small Iranian brush made of ceramic with a smell of garlic, a medium Italian chair made of steel with a smell of lavender, an extra-extra-large Italian wrench made of concrete with a smell of vanilla, a small German saw made of ceramic with a smell of wet dog, an extra-extra-large British watch made of plastic with a smell of vinegar, a large Canadian banana made of plastic with a smell of vinegar, an extra-extra-small Turkish ball made of ceramic with a smell of citrus fruits, an extra-large Brazilian trash can made of ceramic with a smell of gasoline, an extra-extra-large Brazilian cup made of plastic with a smell of lavender, an extra-extra-small German ruler made of steel with a smell of lavender, an extra-extra-small Polish drill made of plastic with a smell of lavender, an extra-small Italian piano made of glass with a smell of burning wood, an extra-small Russian ring made of glass with a smell of popcorn, an extra-small Polish flower pot made of plastic with a smell of coffee, a small Italian bottle made of steel with a smell of vanilla, an extra-small Mexican bed made of glass with a smell of coconut. The color of the items was respectively as follows: the first 2 were beige, the next 2 were blue, the next 1 was brown, the next 3 were crimson, the next 2 were cyan, the next 3 were gray, the next 2 were indigo, the next 7 were ivory, the next 1 was khaki, the next 4 were magenta, the next 2 were maroon, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 3 were red, the next 3 were silver, the next 1 was teal, the next 2 were violet, the next 1 was white, the next 1 was yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my brother replaced any item of size small in my new collection with an exact copy but with one specific size (different from small) and another exact copy but with color orange. After this, my new collection had: 9 extra-small item(s), 4 large item(s), 3 extra-large item(s), 5 extra-extra-large item(s), 5 extra-extra-small item(s), 7 medium item(s), 5 small item(s). Then, my uncle threw away any Portuguese item in my new collection, but gave me two of the same item, one British and one Russian (all other properties the same). Then, for any item of color purple in my new collection, my mom gave me another one of the same item, but with a silver color, Mexican origin, extra-large size, leather smell, and made of plastic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not violet, size is not extra-extra-large, material is not plastic, smell is not citrus fruits, and origin is not Afghan? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:016", "request": "I had a collection of 34 weird items that went through a few changes. Initially, I had a small French fork made of steel with a smell of rose, an extra-extra-large Portuguese marker made of concrete with a smell of garlic, an extra-large Chinese hammer made of glass with a smell of pine needles, an extra-extra-large British pen made of concrete with a smell of citrus fruits, a small Italian vase made of ceramic with a smell of vinegar, an extra-extra-large Afghan apple made of glass with a smell of freshly cut grass, an extra-large German pencil made of ceramic with a smell of wet dog, a small Iranian ruler made of concrete with a smell of burning wood, an extra-large Russian sunglasses made of steel with a smell of vanilla, a large Spanish plier made of glass with a smell of chocolate, a large Russian plier made of steel with a smell of popcorn, an extra-extra-large Italian vase made of steel with a smell of vanilla, an extra-extra-large Brazilian bottle made of glass with a smell of freshly cut grass, an extra-extra-large French dog made of glass with a smell of coconut, a medium Polish box made of plastic with a smell of lavender, an extra-extra-large Brazilian vase made of concrete with a smell of chocolate, a medium British fork made of ceramic with a smell of vanilla, a small Mexican plate made of ceramic with a smell of rose, an extra-extra-large Brazilian screwdriver made of concrete with a smell of baking bread, an extra-extra-large Afghan speaker made of concrete with a smell of coffee, an extra-small Spanish plier made of ceramic with a smell of freshly cut grass, an extra-extra-large German piano made of glass with a smell of chocolate, an extra-small Afghan camera made of plastic with a smell of coffee, a large Turkish fork made of glass with a smell of rose, an extra-small Spanish house made of glass with a smell of citrus fruits, a large Russian plate made of plastic with a smell of vanilla, an extra-large British bag made of steel with a smell of burning wood, an extra-extra-small Portuguese chair made of plastic with a smell of lavender, an extra-extra-large Russian book made of concrete with a smell of vanilla, a medium Afghan apple made of glass with a smell of chocolate, a large Portuguese clock made of concrete with a smell of citrus fruits, an extra-extra-large Canadian piano made of concrete with a smell of garlic, an extra-extra-small Mexican clock made of glass with a smell of leather, a medium Mexican plate made of ceramic with a smell of pine needles. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 2 were blue, the next 2 were crimson, the next 1 was cyan, the next 1 was gray, the next 3 were indigo, the next 2 were ivory, the next 1 was magenta, the next 1 was maroon, the next 2 were orange, the next 3 were pink, the next 2 were purple, the next 2 were red, the next 1 was silver, the next 1 was teal, the next 1 was turquoise, the next 3 were violet, the next 2 were white. Then, my uncle threw away any Spanish item in my collection, but gave me two of the same item, one Portuguese and one Italian (all other properties the same). Then, my brother replaced any item of size small in my new collection with an exact copy but with one specific size (different from small) and another exact copy but with color teal. After this, my new collection had: 6 extra-extra-small item(s), 12 extra-extra-large item(s), 4 extra-large item(s), 6 large item(s), 4 medium item(s), 5 extra-small item(s), 4 small item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 2 black item(s), 1 crimson item(s), 1 cyan item(s), 2 gray item(s), 2 indigo item(s), 2 ivory item(s), 1 orange item(s), 3 pink item(s), 1 silver item(s), 1 teal item(s), 1 turquoise item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: either color is orange, or size is extra-extra-large, or material is ceramic, or smell is coffee, or origin is Russian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:017", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had a large Polish speaker made of ceramic with a smell of chocolate, a medium Portuguese stapler made of ceramic with a smell of coconut, a medium British flower pot made of ceramic with a smell of garlic, a medium Brazilian speaker made of plastic with a smell of vanilla, an extra-extra-large British plate made of steel with a smell of vinegar, a small Spanish camera made of glass with a smell of burning wood, an extra-small Iranian lamp made of glass with a smell of burning wood, an extra-extra-small Spanish calculator made of glass with a smell of gasoline, an extra-extra-small French scissors made of ceramic with a smell of garlic, an extra-small Brazilian camera made of plastic with a smell of wet dog, a small German vase made of plastic with a smell of leather, a medium Iranian vase made of plastic with a smell of leather, a small Afghan wallet made of plastic with a smell of baking bread, an extra-large Russian house made of concrete with a smell of chocolate, a small Spanish ring made of glass with a smell of freshly cut grass, a medium Chinese bag made of steel with a smell of citrus fruits, an extra-extra-large Japanese guitar made of plastic with a smell of rose, an extra-extra-large British fork made of steel with a smell of coconut, an extra-small Spanish saw made of steel with a smell of freshly cut grass, a large French scissors made of concrete with a smell of chocolate, an extra-extra-large British stapler made of ceramic with a smell of coffee, an extra-small Japanese necklace made of plastic with a smell of coconut, a large Japanese plier made of plastic with a smell of vinegar, a small Afghan candle made of concrete with a smell of gasoline, an extra-extra-small German ball made of glass with a smell of citrus fruits, an extra-extra-large Japanese bicycle made of steel with a smell of garlic, an extra-large Japanese bottle made of glass with a smell of baking bread, an extra-extra-small Italian clock made of glass with a smell of rose, an extra-small Canadian pen made of concrete with a smell of citrus fruits, an extra-extra-large Portuguese canvas made of concrete with a smell of rose, an extra-extra-small Brazilian ruler made of glass with a smell of burning wood, a small French bag made of steel with a smell of rose, a large Spanish banana made of ceramic with a smell of chocolate. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 1 was blue, the next 1 was brown, the next 1 was crimson, the next 3 were cyan, the next 1 was gray, the next 2 were green, the next 3 were indigo, the next 2 were khaki, the next 3 were magenta, the next 2 were pink, the next 3 were purple, the next 1 was red, the next 2 were teal, the next 1 was turquoise, the next 2 were violet, the next 1 was white, the next 1 was yellow. Then, for any item with a smell of pine needles, citrus fruits, or coffee in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 4 item(s) with chocolate smell, 3 item(s) with coconut smell, 3 item(s) with garlic smell, 1 item(s) with vanilla smell, 2 item(s) with vinegar smell, 3 item(s) with burning wood smell, 2 item(s) with gasoline smell, 1 item(s) with wet dog smell, 2 item(s) with leather smell, 2 item(s) with baking bread smell, 2 item(s) with freshly cut grass smell, 3 item(s) with citrus fruits smell, 4 item(s) with rose smell, 4 item(s) with lavender smell, 1 item(s) with coffee smell. Then, for each item of size extra-extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of coconut (all other properties the same). After this, my new collection had: 5 item(s) made of ceramic, 14 item(s) made of plastic, 9 item(s) made of glass, 5 item(s) made of concrete, 4 item(s) made of steel. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 2 black item(s), 1 blue item(s), 1 brown item(s), 1 crimson item(s), 3 cyan item(s), 2 green item(s), 3 indigo item(s), 3 khaki item(s), 3 magenta item(s), 3 pink item(s), 4 purple item(s), 1 red item(s), 2 teal item(s), 2 turquoise item(s), 2 violet item(s), 1 white item(s), 1 yellow item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not pink, size is not extra-extra-large, material is not glass, smell is not rose, and origin is not Spanish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:018", "request": "I had a collection of 49 weird items that went through a few changes. Initially, I had an extra-large Russian fork made of plastic with a smell of pine needles, an extra-large Afghan calculator made of ceramic with a smell of citrus fruits, a medium Canadian lamp made of plastic with a smell of wet dog, a small German trash can made of ceramic with a smell of wet dog, a large Spanish necklace made of concrete with a smell of gasoline, an extra-small Brazilian ball made of concrete with a smell of coffee, an extra-large Portuguese watch made of steel with a smell of wet dog, an extra-large Chinese guitar made of plastic with a smell of vanilla, an extra-large Iranian banana made of steel with a smell of popcorn, a large Polish sunglasses made of glass with a smell of wet dog, an extra-extra-small German hat made of plastic with a smell of vanilla, a medium Mexican earring made of plastic with a smell of coconut, an extra-large Polish clock made of steel with a smell of coconut, an extra-extra-small Brazilian trash can made of plastic with a smell of leather, an extra-small Japanese clock made of glass with a smell of popcorn, a large Turkish lamp made of glass with a smell of leather, a small Italian trash can made of concrete with a smell of citrus fruits, a small French brush made of glass with a smell of lavender, an extra-large Russian brush made of concrete with a smell of wet dog, an extra-extra-small German hat made of plastic with a smell of burning wood, an extra-extra-large Mexican marker made of concrete with a smell of vinegar, a small Mexican dog made of ceramic with a smell of coffee, a large German bag made of steel with a smell of baking bread, an extra-extra-large Turkish saw made of ceramic with a smell of citrus fruits, an extra-extra-small Portuguese brush made of concrete with a smell of lavender, an extra-large Mexican scissors made of concrete with a smell of citrus fruits, an extra-large German bag made of plastic with a smell of citrus fruits, a large Chinese brush made of ceramic with a smell of vanilla, a large Italian necklace made of plastic with a smell of chocolate, an extra-extra-small Russian candle made of ceramic with a smell of lavender, a small British shirt made of ceramic with a smell of vanilla, an extra-extra-small French candle made of steel with a smell of gasoline, an extra-extra-large Spanish ruler made of glass with a smell of lavender, a small Italian pencil made of concrete with a smell of vinegar, an extra-extra-large Portuguese shoe made of ceramic with a smell of baking bread, a medium British lamp made of concrete with a smell of coconut, a medium Polish fork made of ceramic with a smell of chocolate, a small Spanish sunglasses made of glass with a smell of burning wood, a large Turkish shoe made of concrete with a smell of chocolate, an extra-extra-small Russian banana made of steel with a smell of coffee, a medium Canadian shirt made of ceramic with a smell of citrus fruits, an extra-small British pen made of glass with a smell of leather, an extra-extra-large Brazilian sunglasses made of plastic with a smell of coconut, a small Canadian piano made of glass with a smell of rose, an extra-extra-small French plier made of steel with a smell of baking bread, an extra-extra-small Afghan bottle made of steel with a smell of leather, an extra-small Russian brush made of glass with a smell of freshly cut grass, a large German bicycle made of concrete with a smell of gasoline, an extra-large Portuguese car made of concrete with a smell of coffee. The color of the items was respectively as follows: the first 1 was beige, the next 4 were black, the next 4 were blue, the next 2 were brown, the next 2 were crimson, the next 2 were cyan, the next 1 was gold, the next 4 were gray, the next 2 were green, the next 1 was indigo, the next 4 were ivory, the next 2 were khaki, the next 2 were maroon, the next 1 was orange, the next 1 was pink, the next 3 were purple, the next 1 was red, the next 2 were silver, the next 3 were teal, the next 2 were turquoise, the next 1 was violet, the next 1 was white, the next 3 were yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 crimson item(s), 1 green item(s), 3 ivory item(s), 2 khaki item(s), 1 pink item(s), 1 red item(s), 1 teal item(s), 1 turquoise item(s), 1 violet item(s), 3 yellow item(s). Then, for any item made of ceramic in my new collection, my sister changed their color to her favorite color and changed their smell to gasoline. After this, my new collection had: 1 crimson item(s), 4 gray item(s), 2 ivory item(s), 1 khaki item(s), 1 pink item(s), 1 teal item(s), 1 turquoise item(s), 1 violet item(s), 3 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is gray, or size is large, or material is glass, or smell is chocolate, or origin is Chinese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:020", "request": "I had a collection of 49 weird items that went through a few changes. Initially, I had a medium Russian shoe made of concrete with a smell of popcorn, a medium Chinese sofa made of glass with a smell of leather, an extra-small Iranian chair made of ceramic with a smell of vanilla, an extra-large British calculator made of concrete with a smell of chocolate, a small Russian bag made of plastic with a smell of leather, an extra-small German vase made of concrete with a smell of coconut, an extra-extra-large French plate made of ceramic with a smell of lavender, an extra-extra-small Canadian fork made of concrete with a smell of rose, an extra-extra-small Russian bed made of plastic with a smell of burning wood, an extra-extra-small Italian plate made of ceramic with a smell of vanilla, an extra-small Afghan guitar made of concrete with a smell of coconut, an extra-large Russian watch made of plastic with a smell of garlic, a medium Mexican earring made of concrete with a smell of gasoline, an extra-extra-large Japanese table made of concrete with a smell of leather, a small Turkish wrench made of plastic with a smell of gasoline, an extra-small Turkish watch made of plastic with a smell of wet dog, a medium Japanese bag made of ceramic with a smell of coconut, an extra-small Afghan guitar made of ceramic with a smell of citrus fruits, an extra-extra-large Mexican plate made of concrete with a smell of freshly cut grass, a small Japanese earring made of steel with a smell of lavender, an extra-extra-large French clock made of ceramic with a smell of wet dog, an extra-extra-large Mexican drill made of steel with a smell of vinegar, an extra-small Spanish clock made of concrete with a smell of coffee, a small Polish marker made of ceramic with a smell of coffee, an extra-small Japanese umbrella made of plastic with a smell of citrus fruits, an extra-extra-small Chinese shoe made of concrete with a smell of coffee, an extra-extra-large Iranian vase made of glass with a smell of pine needles, a medium Portuguese car made of plastic with a smell of rose, an extra-large Japanese umbrella made of plastic with a smell of vanilla, a medium British shirt made of steel with a smell of garlic, an extra-large French pencil made of steel with a smell of popcorn, an extra-small Brazilian umbrella made of ceramic with a smell of burning wood, an extra-extra-small Chinese candle made of ceramic with a smell of vanilla, a large French car made of concrete with a smell of wet dog, an extra-large Brazilian lamp made of plastic with a smell of lavender, a large Chinese hat made of glass with a smell of garlic, an extra-large Portuguese shoe made of ceramic with a smell of garlic, an extra-extra-small Turkish earring made of steel with a smell of chocolate, a medium Brazilian box made of glass with a smell of wet dog, an extra-large Spanish apple made of ceramic with a smell of lavender, a small Japanese watch made of steel with a smell of rose, an extra-extra-small Chinese clock made of ceramic with a smell of burning wood, an extra-small Polish shoe made of glass with a smell of coconut, a medium German camera made of steel with a smell of baking bread, a medium German table made of concrete with a smell of leather, an extra-extra-small German wallet made of plastic with a smell of gasoline, an extra-extra-small Chinese necklace made of steel with a smell of freshly cut grass, an extra-extra-large Iranian knife made of plastic with a smell of baking bread, a small Mexican fork made of ceramic with a smell of wet dog. The color of the items was respectively as follows: the first 2 were beige, the next 4 were brown, the next 2 were crimson, the next 2 were cyan, the next 5 were gold, the next 2 were gray, the next 1 was ivory, the next 2 were khaki, the next 2 were magenta, the next 4 were maroon, the next 3 were orange, the next 3 were pink, the next 2 were purple, the next 5 were red, the next 1 was silver, the next 1 was teal, the next 5 were turquoise, the next 1 was white, the next 2 were yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my uncle threw away any Turkish item in my new collection, but gave me two of the same item, one French and one German (all other properties the same). Then, for any item with a smell of gasoline, coffee, or garlic in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 4 item(s) with lavender smell, 3 item(s) with rose smell, 3 item(s) with burning wood smell, 9 item(s) with vanilla smell, 4 item(s) with garlic smell, 1 item(s) with gasoline smell, 2 item(s) with leather smell, 6 item(s) with wet dog smell, 2 item(s) with coconut smell, 2 item(s) with freshly cut grass smell, 1 item(s) with vinegar smell, 2 item(s) with coffee smell, 1 item(s) with citrus fruits smell, 1 item(s) with pine needles smell, 2 item(s) with chocolate smell, 1 item(s) with baking bread smell. Then, my brother replaced any item of size medium in my new collection with an exact copy but with one specific size (different from medium) and another exact copy but with color black. After this, my new collection had: 8 medium item(s), 7 extra-extra-large item(s), 9 extra-extra-small item(s), 7 extra-large item(s), 11 large item(s), 7 extra-small item(s), 3 small item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: either color is cyan, or size is extra-small, or material is ceramic, or smell is rose, or origin is British? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:021", "request": "I had a collection of 36 weird items that went through a few changes. Initially, I had a small Spanish camera made of steel with a smell of wet dog, a medium German drill made of glass with a smell of burning wood, an extra-large Portuguese fork made of glass with a smell of vinegar, an extra-extra-large Spanish wrench made of steel with a smell of vanilla, a large German sunglasses made of ceramic with a smell of pine needles, an extra-small Turkish ball made of steel with a smell of vanilla, an extra-extra-large Polish spoon made of steel with a smell of pine needles, a small Polish hammer made of ceramic with a smell of coffee, a small British pencil made of ceramic with a smell of wet dog, an extra-large Japanese bicycle made of glass with a smell of vanilla, an extra-small Polish bag made of plastic with a smell of chocolate, a small Brazilian spoon made of concrete with a smell of coconut, a large Chinese knife made of steel with a smell of garlic, a medium Japanese bowl made of steel with a smell of coconut, an extra-small Spanish jar made of glass with a smell of lavender, a large Japanese plate made of ceramic with a smell of garlic, an extra-small Canadian bird made of ceramic with a smell of popcorn, an extra-extra-large Canadian wallet made of concrete with a smell of leather, an extra-small Italian dog made of ceramic with a smell of popcorn, a small Russian sunglasses made of ceramic with a smell of gasoline, an extra-extra-small Afghan guitar made of concrete with a smell of vinegar, a large Iranian knife made of concrete with a smell of citrus fruits, a small Chinese speaker made of steel with a smell of gasoline, a medium British ruler made of ceramic with a smell of burning wood, an extra-extra-large Canadian wallet made of ceramic with a smell of vinegar, an extra-extra-large British umbrella made of concrete with a smell of citrus fruits, an extra-extra-small Canadian trash can made of ceramic with a smell of freshly cut grass, an extra-extra-small Iranian ring made of glass with a smell of wet dog, a large Portuguese plate made of steel with a smell of vinegar, an extra-small Chinese speaker made of glass with a smell of burning wood, an extra-large Russian stapler made of concrete with a smell of rose, an extra-small Brazilian saw made of glass with a smell of lavender, a small Canadian vase made of plastic with a smell of citrus fruits, an extra-small Iranian shirt made of plastic with a smell of baking bread, a small Iranian piano made of glass with a smell of coffee, a small Turkish banana made of steel with a smell of popcorn. The color of the items was respectively as follows: the first 1 was black, the next 2 were blue, the next 3 were brown, the next 1 was crimson, the next 1 was gold, the next 3 were gray, the next 3 were green, the next 1 was khaki, the next 3 were magenta, the next 1 was maroon, the next 2 were orange, the next 1 was pink, the next 1 was purple, the next 2 were silver, the next 1 was teal, the next 3 were turquoise, the next 3 were violet, the next 3 were white, the next 1 was yellow. Then, my uncle threw away any Russian item in my collection, but gave me two of the same item, one Canadian and one Turkish (all other properties the same). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 black item(s), 2 blue item(s), 3 brown item(s), 1 gold item(s), 3 gray item(s), 1 green item(s), 1 khaki item(s), 1 magenta item(s), 1 maroon item(s), 3 orange item(s), 1 silver item(s), 2 turquoise item(s), 1 violet item(s), 3 white item(s), 1 yellow item(s). Then, for any item with a smell of lavender, popcorn, or gasoline in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 3 item(s) with wet dog smell, 2 item(s) with burning wood smell, 2 item(s) with vinegar smell, 3 item(s) with vanilla smell, 1 item(s) with pine needles smell, 2 item(s) with coffee smell, 1 item(s) with chocolate smell, 1 item(s) with coconut smell, 2 item(s) with lavender smell, 7 item(s) with leather smell, 3 item(s) with popcorn smell, 2 item(s) with gasoline smell, 1 item(s) with freshly cut grass smell, 1 item(s) with citrus fruits smell, 1 item(s) with baking bread smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: color is not white, size is not extra-small, material is not steel, smell is not pine needles, and origin is not British? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:022", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had an extra-extra-large Spanish canvas made of ceramic with a smell of baking bread, an extra-large Mexican shoe made of concrete with a smell of pine needles, a small Brazilian trash can made of concrete with a smell of gasoline, a large Polish key made of ceramic with a smell of garlic, a medium Afghan stapler made of ceramic with a smell of popcorn, an extra-large Canadian plate made of steel with a smell of leather, an extra-extra-large Portuguese trash can made of glass with a smell of wet dog, an extra-extra-small Portuguese piano made of steel with a smell of freshly cut grass, a large Portuguese lamp made of concrete with a smell of baking bread, a large French plate made of concrete with a smell of rose, an extra-small Spanish guitar made of plastic with a smell of chocolate, a large Brazilian box made of steel with a smell of vinegar, an extra-extra-small Polish hammer made of glass with a smell of popcorn, an extra-large Polish screwdriver made of glass with a smell of coconut, a small German cup made of steel with a smell of rose, an extra-small Canadian bowl made of steel with a smell of rose, an extra-small Iranian camera made of ceramic with a smell of garlic, a small French ruler made of steel with a smell of rose, a small Canadian bag made of ceramic with a smell of vanilla, a large Afghan fork made of concrete with a smell of freshly cut grass, an extra-large British spoon made of glass with a smell of freshly cut grass, an extra-extra-large Iranian cup made of steel with a smell of citrus fruits, an extra-extra-small British sunglasses made of plastic with a smell of chocolate, a small Mexican shoe made of plastic with a smell of leather, an extra-large Canadian wrench made of steel with a smell of freshly cut grass, an extra-small Spanish bowl made of plastic with a smell of pine needles, an extra-small Chinese ruler made of concrete with a smell of wet dog, an extra-extra-large Chinese bicycle made of steel with a smell of citrus fruits, an extra-extra-large Spanish lamp made of plastic with a smell of coconut, a medium Mexican knife made of concrete with a smell of rose, a large Portuguese canvas made of ceramic with a smell of chocolate, an extra-extra-large Chinese saw made of ceramic with a smell of garlic, a medium Canadian apple made of concrete with a smell of vinegar. The color of the items was respectively as follows: the first 1 was beige, the next 3 were black, the next 3 were brown, the next 3 were crimson, the next 1 was cyan, the next 3 were gold, the next 3 were gray, the next 1 was indigo, the next 1 was khaki, the next 3 were maroon, the next 1 was orange, the next 3 were purple, the next 1 was red, the next 1 was silver, the next 2 were teal, the next 2 were violet, the next 1 was white. Then, for any item with a smell of baking bread, coconut, or coffee in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 2 item(s) with baking bread smell, 5 item(s) with gasoline smell, 2 item(s) with pine needles smell, 3 item(s) with garlic smell, 2 item(s) with popcorn smell, 2 item(s) with leather smell, 2 item(s) with wet dog smell, 4 item(s) with freshly cut grass smell, 5 item(s) with rose smell, 3 item(s) with chocolate smell, 2 item(s) with vinegar smell, 2 item(s) with coconut smell, 1 item(s) with vanilla smell, 2 item(s) with citrus fruits smell. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for each item of size extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of vanilla (all other properties the same). After this, my new collection had: 7 item(s) made of ceramic, 4 item(s) made of steel, 3 item(s) made of plastic, 2 item(s) made of glass, 3 item(s) made of concrete. Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to vanilla. After this, my new collection had: 2 beige item(s), 1 black item(s), 1 brown item(s), 1 crimson item(s), 2 gold item(s), 1 khaki item(s), 2 maroon item(s), 1 purple item(s), 1 silver item(s), 1 teal item(s), 2 violet item(s), 4 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: either color is violet, or size is extra-small, or material is ceramic, or smell is freshly cut grass, or origin is Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:023", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had a small Italian scissors made of ceramic with a smell of popcorn, an extra-extra-large Iranian camera made of glass with a smell of vinegar, an extra-extra-large Brazilian dog made of concrete with a smell of citrus fruits, an extra-extra-large Turkish dog made of concrete with a smell of freshly cut grass, a medium Spanish book made of plastic with a smell of coconut, a small Turkish dog made of concrete with a smell of wet dog, an extra-large Mexican watch made of concrete with a smell of baking bread, a large Spanish house made of glass with a smell of rose, an extra-extra-small French hammer made of concrete with a smell of burning wood, an extra-extra-small Iranian earring made of ceramic with a smell of coffee, an extra-extra-large Turkish necklace made of glass with a smell of chocolate, an extra-extra-small French plier made of steel with a smell of garlic, an extra-extra-large Iranian knife made of glass with a smell of leather, an extra-extra-small Canadian box made of plastic with a smell of vanilla, an extra-extra-large Spanish sofa made of glass with a smell of freshly cut grass, an extra-extra-small Mexican cup made of glass with a smell of lavender, an extra-large Brazilian screwdriver made of plastic with a smell of gasoline, an extra-small British spoon made of plastic with a smell of baking bread, an extra-small Mexican sofa made of ceramic with a smell of wet dog, an extra-small Mexican brush made of steel with a smell of rose, an extra-small Chinese dog made of steel with a smell of rose, an extra-small French guitar made of ceramic with a smell of burning wood, an extra-extra-large Mexican saw made of plastic with a smell of garlic, an extra-small Turkish bird made of glass with a smell of chocolate, a large French sunglasses made of plastic with a smell of garlic, a small German shoe made of steel with a smell of vanilla, an extra-small British bed made of concrete with a smell of citrus fruits, an extra-extra-large Chinese saw made of steel with a smell of freshly cut grass, an extra-large Polish hat made of plastic with a smell of baking bread, a large Afghan drill made of glass with a smell of coffee, a large Portuguese ring made of glass with a smell of garlic, an extra-extra-small Canadian jar made of concrete with a smell of rose, a small Polish house made of steel with a smell of baking bread, a medium Chinese canvas made of steel with a smell of baking bread, a small Mexican apple made of steel with a smell of wet dog. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 2 were brown, the next 1 was crimson, the next 1 was cyan, the next 2 were gold, the next 1 was green, the next 2 were indigo, the next 2 were ivory, the next 3 were khaki, the next 2 were magenta, the next 1 was orange, the next 2 were pink, the next 1 was red, the next 3 were silver, the next 2 were teal, the next 2 were turquoise, the next 1 was violet, the next 3 were white. Then, my friend took any item with a smell of rose, leather or baking bread in my collection and threw it away. Then, for any item of color silver in my new collection, my mom gave me another one of the same item, but with a indigo color, Chinese origin, extra-extra-small size, coconut smell, and made of glass. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: color is not turquoise, size is not large, material is not ceramic, smell is not garlic, and origin is not Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:024", "request": "I had a collection of 47 weird items that went through a few changes. Initially, I had a large Japanese sunglasses made of steel with a smell of leather, a medium Russian brush made of steel with a smell of rose, a small Italian box made of glass with a smell of chocolate, a medium Italian canvas made of steel with a smell of pine needles, a medium Japanese clock made of steel with a smell of chocolate, an extra-large French sofa made of concrete with a smell of freshly cut grass, a medium Russian bed made of concrete with a smell of burning wood, an extra-large Canadian candle made of steel with a smell of wet dog, an extra-large German marker made of concrete with a smell of wet dog, an extra-extra-small French bottle made of plastic with a smell of popcorn, an extra-small Canadian book made of ceramic with a smell of coconut, an extra-extra-large Mexican plate made of steel with a smell of baking bread, a large Polish plier made of plastic with a smell of vanilla, an extra-large Spanish bottle made of steel with a smell of lavender, an extra-small French book made of plastic with a smell of baking bread, a medium French trash can made of concrete with a smell of freshly cut grass, an extra-large Afghan scissors made of concrete with a smell of garlic, a small German screwdriver made of steel with a smell of popcorn, a small Brazilian spoon made of steel with a smell of leather, a small Japanese bicycle made of concrete with a smell of leather, an extra-extra-small French marker made of concrete with a smell of chocolate, an extra-extra-small German sunglasses made of ceramic with a smell of chocolate, a small Chinese bag made of concrete with a smell of coffee, a large Brazilian flower pot made of concrete with a smell of rose, an extra-small Japanese chair made of plastic with a smell of vinegar, an extra-small Spanish candle made of plastic with a smell of vinegar, a large Polish hammer made of steel with a smell of coconut, an extra-extra-small Brazilian bird made of plastic with a smell of coconut, an extra-extra-small Portuguese sofa made of glass with a smell of leather, a medium Iranian bowl made of ceramic with a smell of vinegar, an extra-large French bed made of glass with a smell of garlic, a medium Portuguese saw made of plastic with a smell of vanilla, an extra-large Turkish clock made of steel with a smell of wet dog, a small Russian shirt made of ceramic with a smell of wet dog, a large British car made of ceramic with a smell of garlic, a large French shirt made of concrete with a smell of freshly cut grass, an extra-large Turkish bag made of glass with a smell of wet dog, an extra-large German cup made of steel with a smell of rose, a small Japanese trash can made of glass with a smell of chocolate, a medium Japanese wrench made of steel with a smell of citrus fruits, a small Japanese box made of steel with a smell of baking bread, a large Russian table made of plastic with a smell of popcorn, an extra-extra-small Italian shirt made of ceramic with a smell of pine needles, a large British key made of glass with a smell of coffee, a large Russian screwdriver made of glass with a smell of freshly cut grass, an extra-extra-small Brazilian dog made of steel with a smell of coffee, an extra-extra-small Italian guitar made of concrete with a smell of wet dog. The color of the items was respectively as follows: the first 1 was beige, the next 3 were black, the next 1 was blue, the next 1 was brown, the next 1 was crimson, the next 3 were cyan, the next 4 were gold, the next 1 was gray, the next 2 were green, the next 1 was ivory, the next 4 were khaki, the next 1 was magenta, the next 1 was maroon, the next 2 were pink, the next 1 was purple, the next 3 were red, the next 1 was silver, the next 1 was teal, the next 3 were turquoise, the next 3 were violet, the next 6 were white, the next 3 were yellow. Then, for each item of size small in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of rose (all other properties the same). After this, my collection had: 12 item(s) made of steel, 13 item(s) made of ceramic, 9 item(s) made of concrete, 8 item(s) made of plastic, 5 item(s) made of glass. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 3 black item(s), 1 blue item(s), 1 brown item(s), 1 crimson item(s), 4 gold item(s), 1 gray item(s), 2 green item(s), 1 ivory item(s), 4 khaki item(s), 1 magenta item(s), 1 maroon item(s), 2 pink item(s), 1 purple item(s), 3 red item(s), 1 silver item(s), 1 teal item(s), 3 turquoise item(s), 3 violet item(s), 6 white item(s), 3 yellow item(s). Then, for any item with a smell of wet dog, lavender, or citrus fruits in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with leather smell, 11 item(s) with rose smell, 2 item(s) with pine needles smell, 3 item(s) with chocolate smell, 4 item(s) with freshly cut grass smell, 1 item(s) with burning wood smell, 3 item(s) with coconut smell, 2 item(s) with baking bread smell, 7 item(s) with vanilla smell, 1 item(s) with lavender smell, 3 item(s) with garlic smell, 3 item(s) with vinegar smell, 3 item(s) with wet dog smell, 1 item(s) with citrus fruits smell, 1 item(s) with popcorn smell, 2 item(s) with coffee smell. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: either color is pink, or size is extra-extra-large, or material is plastic, or smell is pine needles, or origin is Canadian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:026", "request": "I had a collection of 48 weird items that went through a few changes. Initially, I had an extra-extra-small Turkish bag made of ceramic with a smell of lavender, an extra-extra-large Polish shoe made of plastic with a smell of leather, an extra-large Polish chair made of glass with a smell of lavender, an extra-extra-large Chinese book made of concrete with a smell of citrus fruits, an extra-extra-small Chinese brush made of ceramic with a smell of freshly cut grass, a small Portuguese jar made of plastic with a smell of garlic, an extra-extra-large Italian wrench made of concrete with a smell of vanilla, an extra-extra-large German ruler made of ceramic with a smell of baking bread, a small Brazilian umbrella made of plastic with a smell of vanilla, a medium Portuguese speaker made of ceramic with a smell of popcorn, an extra-small Mexican key made of plastic with a smell of garlic, an extra-extra-small Italian bowl made of concrete with a smell of vinegar, a small French knife made of concrete with a smell of burning wood, an extra-extra-large Mexican banana made of concrete with a smell of leather, a small Polish pen made of glass with a smell of garlic, an extra-large Polish hammer made of steel with a smell of chocolate, a large Russian shoe made of concrete with a smell of coconut, a small Mexican bed made of glass with a smell of freshly cut grass, a large Canadian banana made of plastic with a smell of vinegar, an extra-large Canadian speaker made of concrete with a smell of burning wood, an extra-extra-large Iranian hammer made of glass with a smell of pine needles, an extra-small Turkish fork made of concrete with a smell of garlic, a small Brazilian speaker made of ceramic with a smell of coffee, an extra-large German table made of glass with a smell of vinegar, an extra-small British canvas made of glass with a smell of coconut, an extra-small French ruler made of glass with a smell of coconut, an extra-extra-small Brazilian piano made of glass with a smell of garlic, an extra-extra-small German watch made of steel with a smell of chocolate, an extra-extra-large Portuguese canvas made of concrete with a smell of garlic, an extra-small Italian bag made of concrete with a smell of baking bread, a small Italian pencil made of plastic with a smell of garlic, an extra-extra-small Portuguese lamp made of concrete with a smell of vinegar, an extra-small Iranian apple made of glass with a smell of gasoline, an extra-large French earring made of steel with a smell of popcorn, an extra-extra-large Polish scissors made of plastic with a smell of gasoline, an extra-large Portuguese flower pot made of plastic with a smell of popcorn, a small French car made of ceramic with a smell of chocolate, a medium Japanese spoon made of plastic with a smell of burning wood, an extra-large British plier made of glass with a smell of baking bread, an extra-extra-small Portuguese apple made of ceramic with a smell of freshly cut grass, an extra-small Polish table made of plastic with a smell of garlic, a large Portuguese car made of ceramic with a smell of burning wood, an extra-extra-small Chinese banana made of ceramic with a smell of coffee, a large Japanese vase made of plastic with a smell of popcorn, an extra-small Turkish calculator made of ceramic with a smell of pine needles, a large Spanish box made of steel with a smell of rose, a large Mexican key made of steel with a smell of vinegar, a medium Chinese bird made of plastic with a smell of citrus fruits. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 1 was blue, the next 3 were brown, the next 2 were crimson, the next 1 was cyan, the next 3 were gold, the next 4 were gray, the next 1 was indigo, the next 3 were ivory, the next 2 were khaki, the next 2 were magenta, the next 4 were maroon, the next 1 was orange, the next 3 were purple, the next 2 were red, the next 1 was silver, the next 2 were teal, the next 1 was turquoise, the next 6 were violet, the next 2 were white, the next 1 was yellow. Then, for any item made of steel in my collection, my sister changed their color to her favorite color and changed their smell to coffee. After this, my collection had: 1 beige item(s), 2 black item(s), 1 blue item(s), 3 brown item(s), 2 crimson item(s), 1 cyan item(s), 3 gold item(s), 3 gray item(s), 6 indigo item(s), 3 ivory item(s), 2 khaki item(s), 2 magenta item(s), 3 maroon item(s), 1 orange item(s), 3 purple item(s), 1 red item(s), 1 silver item(s), 2 teal item(s), 1 turquoise item(s), 6 violet item(s), 1 yellow item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for each item of size extra-extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my new collection had: 6 item(s) made of plastic, 3 item(s) made of ceramic, 7 item(s) made of glass, 5 item(s) made of concrete, 2 item(s) made of steel. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: either color is khaki, or size is extra-extra-small, or material is plastic, or smell is gasoline, or origin is Canadian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:027", "request": "I had a collection of 44 weird items that went through a few changes. Initially, I had an extra-extra-large Mexican pen made of ceramic with a smell of vanilla, a medium Chinese stapler made of plastic with a smell of vinegar, a medium Polish banana made of steel with a smell of coffee, an extra-large Afghan sofa made of ceramic with a smell of coffee, an extra-extra-large Italian clock made of ceramic with a smell of popcorn, a small Iranian house made of ceramic with a smell of vanilla, a small Chinese drill made of concrete with a smell of baking bread, a large Japanese earring made of concrete with a smell of freshly cut grass, a small Russian ball made of steel with a smell of rose, a large French hat made of steel with a smell of rose, an extra-extra-large Russian key made of steel with a smell of pine needles, a small Mexican speaker made of plastic with a smell of burning wood, a small Afghan hammer made of plastic with a smell of vanilla, a small Brazilian bag made of ceramic with a smell of wet dog, an extra-small Polish jar made of concrete with a smell of popcorn, an extra-large Chinese hat made of steel with a smell of garlic, an extra-extra-small Mexican earring made of ceramic with a smell of citrus fruits, an extra-extra-small Turkish wallet made of steel with a smell of lavender, an extra-extra-small Iranian shoe made of glass with a smell of gasoline, an extra-extra-small Russian bed made of concrete with a smell of chocolate, a medium Mexican necklace made of glass with a smell of baking bread, a medium Brazilian hammer made of steel with a smell of burning wood, an extra-large German ring made of glass with a smell of wet dog, a large Italian sunglasses made of concrete with a smell of baking bread, a medium Portuguese marker made of ceramic with a smell of gasoline, an extra-extra-small Brazilian banana made of steel with a smell of coconut, an extra-small Polish clock made of glass with a smell of gasoline, a large Spanish wallet made of concrete with a smell of popcorn, an extra-extra-small Afghan wallet made of ceramic with a smell of vinegar, an extra-large French knife made of ceramic with a smell of chocolate, an extra-large Polish key made of ceramic with a smell of vanilla, an extra-large German key made of concrete with a smell of vanilla, an extra-small Japanese bed made of ceramic with a smell of coffee, a medium Chinese box made of ceramic with a smell of burning wood, an extra-extra-large Russian house made of ceramic with a smell of vinegar, an extra-extra-large Mexican cup made of concrete with a smell of burning wood, an extra-large Chinese piano made of steel with a smell of vinegar, a large Turkish apple made of glass with a smell of vanilla, an extra-extra-large Afghan bowl made of concrete with a smell of coffee, a large Iranian drill made of plastic with a smell of rose, a small Brazilian piano made of steel with a smell of popcorn, an extra-extra-small Polish shoe made of ceramic with a smell of vanilla, an extra-large Portuguese candle made of ceramic with a smell of coconut, an extra-large German hammer made of concrete with a smell of popcorn. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 2 were blue, the next 2 were crimson, the next 2 were cyan, the next 1 was gold, the next 5 were gray, the next 5 were indigo, the next 2 were ivory, the next 2 were khaki, the next 1 was magenta, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 5 were purple, the next 1 was silver, the next 3 were teal, the next 2 were turquoise, the next 4 were violet, the next 1 was white, the next 1 was yellow. Then, my uncle threw away any Portuguese item in my collection, but gave me two of the same item, one Russian and one Iranian (all other properties the same). Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of lavender (all other properties the same). After this, my new collection had: 14 item(s) made of ceramic, 10 item(s) made of plastic, 10 item(s) made of concrete, 8 item(s) made of steel, 4 item(s) made of glass. Then, for any item with a smell of chocolate, rose, or vinegar in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 7 item(s) with vanilla smell, 8 item(s) with lavender smell, 3 item(s) with coffee smell, 13 item(s) with popcorn smell, 2 item(s) with baking bread smell, 1 item(s) with freshly cut grass smell, 3 item(s) with rose smell, 1 item(s) with pine needles smell, 2 item(s) with burning wood smell, 2 item(s) with wet dog smell, 1 item(s) with garlic smell, 1 item(s) with citrus fruits smell, 2 item(s) with gasoline smell, 2 item(s) with chocolate smell, 3 item(s) with coconut smell, 3 item(s) with vinegar smell. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 2 blue item(s), 2 crimson item(s), 2 cyan item(s), 2 gold item(s), 6 gray item(s), 5 indigo item(s), 3 ivory item(s), 2 khaki item(s), 1 magenta item(s), 2 maroon item(s), 1 orange item(s), 1 pink item(s), 7 purple item(s), 1 silver item(s), 4 teal item(s), 3 turquoise item(s), 5 violet item(s), 2 white item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: color is not teal, size is not large, material is not glass, smell is not lavender, and origin is not Chinese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:034", "request": "I had a collection of 44 weird items that went through a few changes. Initially, I had an extra-small Canadian ruler made of plastic with a smell of garlic, an extra-extra-large Brazilian canvas made of plastic with a smell of garlic, a small Canadian necklace made of concrete with a smell of wet dog, an extra-small Canadian canvas made of glass with a smell of citrus fruits, an extra-small Japanese umbrella made of glass with a smell of garlic, a large Turkish earring made of concrete with a smell of wet dog, a medium Afghan bowl made of concrete with a smell of chocolate, a medium British screwdriver made of plastic with a smell of gasoline, an extra-extra-small Russian pencil made of ceramic with a smell of citrus fruits, a medium Italian dog made of steel with a smell of chocolate, an extra-small Italian banana made of ceramic with a smell of rose, an extra-small French spoon made of plastic with a smell of rose, an extra-small Portuguese earring made of concrete with a smell of wet dog, a small Japanese book made of steel with a smell of popcorn, a medium Iranian calculator made of steel with a smell of coconut, an extra-extra-small Russian watch made of glass with a smell of citrus fruits, an extra-extra-large Chinese pencil made of concrete with a smell of leather, an extra-extra-large German watch made of steel with a smell of pine needles, a medium Brazilian drill made of glass with a smell of pine needles, an extra-small Spanish pen made of ceramic with a smell of citrus fruits, a medium Chinese lamp made of glass with a smell of leather, an extra-small Japanese table made of ceramic with a smell of vanilla, an extra-extra-large Chinese box made of ceramic with a smell of leather, an extra-extra-large Iranian ring made of ceramic with a smell of citrus fruits, an extra-extra-large Japanese wallet made of steel with a smell of lavender, an extra-large Afghan guitar made of ceramic with a smell of coconut, an extra-extra-large Mexican necklace made of steel with a smell of vinegar, a small British car made of steel with a smell of wet dog, a large Mexican speaker made of plastic with a smell of citrus fruits, an extra-large Mexican hammer made of glass with a smell of baking bread, an extra-extra-large Italian ruler made of ceramic with a smell of burning wood, a small Chinese key made of ceramic with a smell of rose, a medium Italian umbrella made of glass with a smell of garlic, a small Japanese bag made of ceramic with a smell of citrus fruits, an extra-large Spanish bicycle made of concrete with a smell of gasoline, a large Italian ball made of plastic with a smell of citrus fruits, an extra-large Polish canvas made of steel with a smell of vinegar, an extra-small Polish scissors made of steel with a smell of wet dog, a small Polish shoe made of ceramic with a smell of popcorn, a large Canadian pencil made of ceramic with a smell of citrus fruits, an extra-extra-large Afghan hammer made of concrete with a smell of rose, a medium Japanese umbrella made of glass with a smell of coffee, an extra-large Japanese speaker made of steel with a smell of vinegar, an extra-extra-small Chinese umbrella made of plastic with a smell of vinegar. The color of the items was respectively as follows: the first 4 were beige, the next 1 was black, the next 2 were blue, the next 3 were brown, the next 2 were crimson, the next 1 was cyan, the next 1 was gold, the next 3 were gray, the next 4 were green, the next 1 was indigo, the next 1 was ivory, the next 1 was khaki, the next 1 was magenta, the next 1 was maroon, the next 3 were pink, the next 3 were purple, the next 1 was red, the next 2 were silver, the next 3 were teal, the next 1 was violet, the next 5 were yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 1 black item(s), 2 blue item(s), 3 brown item(s), 2 crimson item(s), 1 cyan item(s), 1 gold item(s), 3 gray item(s), 4 green item(s), 1 indigo item(s), 1 ivory item(s), 1 khaki item(s), 1 magenta item(s), 1 maroon item(s), 3 pink item(s), 3 purple item(s), 1 red item(s), 2 silver item(s), 3 teal item(s), 1 violet item(s), 5 yellow item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item of color magenta in my new collection, my mom gave me another one of the same item, but with a maroon color, Brazilian origin, extra-extra-small size, vanilla smell, and made of plastic. Then, for any item made of ceramic in my new collection, my sister changed their color to her favorite color and changed their smell to wet dog. After this, my new collection had: 1 blue item(s), 2 brown item(s), 1 crimson item(s), 1 gold item(s), 2 gray item(s), 2 green item(s), 12 khaki item(s), 1 magenta item(s), 1 maroon item(s), 2 pink item(s), 1 silver item(s), 3 teal item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is magenta, or size is medium, or material is ceramic, or smell is lavender, or origin is French? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:035", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had an extra-large Italian bed made of ceramic with a smell of citrus fruits, an extra-extra-small Japanese screwdriver made of plastic with a smell of baking bread, a large Brazilian camera made of glass with a smell of wet dog, a small French shirt made of concrete with a smell of vanilla, an extra-extra-large Spanish drill made of glass with a smell of pine needles, an extra-extra-large Italian bird made of glass with a smell of citrus fruits, a medium Japanese watch made of plastic with a smell of burning wood, a small Mexican wallet made of plastic with a smell of citrus fruits, a medium British apple made of ceramic with a smell of rose, a medium Turkish banana made of plastic with a smell of baking bread, an extra-extra-small Polish sofa made of concrete with a smell of gasoline, an extra-extra-small Chinese brush made of steel with a smell of leather, an extra-extra-small Portuguese calculator made of glass with a smell of citrus fruits, a medium Iranian canvas made of steel with a smell of lavender, an extra-large Italian plate made of concrete with a smell of vinegar, an extra-extra-small Italian ruler made of concrete with a smell of popcorn, a medium Canadian hammer made of glass with a smell of chocolate, a small Spanish bowl made of glass with a smell of wet dog, an extra-extra-small Spanish fork made of steel with a smell of rose, an extra-extra-small Iranian lamp made of ceramic with a smell of coconut, an extra-extra-small Russian book made of ceramic with a smell of garlic, a medium Italian table made of ceramic with a smell of gasoline, a small Italian bicycle made of ceramic with a smell of coffee, an extra-large Russian drill made of plastic with a smell of coffee, an extra-small Chinese watch made of steel with a smell of citrus fruits, a large Spanish bowl made of glass with a smell of popcorn, a large Iranian hammer made of glass with a smell of lavender, an extra-extra-small Chinese sofa made of plastic with a smell of gasoline, an extra-extra-large French jar made of concrete with a smell of baking bread, a small Turkish bottle made of glass with a smell of lavender, an extra-small Turkish spoon made of glass with a smell of popcorn, an extra-small French necklace made of plastic with a smell of lavender, an extra-extra-small Mexican sofa made of ceramic with a smell of baking bread. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 2 were brown, the next 5 were crimson, the next 2 were cyan, the next 2 were gray, the next 3 were khaki, the next 1 was magenta, the next 2 were maroon, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 2 were red, the next 2 were silver, the next 3 were teal, the next 1 was violet, the next 1 was white, the next 2 were yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 1 black item(s), 2 brown item(s), 5 crimson item(s), 2 cyan item(s), 2 gray item(s), 3 khaki item(s), 1 magenta item(s), 2 maroon item(s), 1 orange item(s), 1 pink item(s), 1 purple item(s), 2 red item(s), 2 silver item(s), 3 teal item(s), 1 violet item(s), 1 white item(s), 2 yellow item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item of color khaki in my new collection, my mom gave me another one of the same item, but with a maroon color, Russian origin, extra-large size, citrus fruits smell, and made of concrete. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: color is not red, size is not extra-extra-small, material is not plastic, smell is not coconut, and origin is not Turkish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:036", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had a medium Spanish earring made of glass with a smell of coconut, an extra-extra-large Canadian drill made of glass with a smell of lavender, a medium Turkish umbrella made of steel with a smell of rose, a large British stapler made of glass with a smell of pine needles, a large French calculator made of concrete with a smell of gasoline, an extra-extra-small Spanish pen made of concrete with a smell of lavender, a medium Canadian bird made of concrete with a smell of vanilla, a large Canadian clock made of steel with a smell of popcorn, an extra-extra-large German chair made of steel with a smell of coffee, an extra-extra-large Russian bowl made of ceramic with a smell of burning wood, an extra-extra-small German plate made of steel with a smell of baking bread, an extra-extra-small Mexican cup made of glass with a smell of wet dog, an extra-large Russian box made of plastic with a smell of leather, an extra-extra-large German ring made of steel with a smell of lavender, an extra-small Iranian apple made of plastic with a smell of coffee, a medium Russian box made of glass with a smell of burning wood, a medium Polish saw made of plastic with a smell of lavender, an extra-extra-large Mexican camera made of glass with a smell of coffee, a small Polish key made of plastic with a smell of garlic, an extra-extra-large Japanese pencil made of concrete with a smell of rose, an extra-extra-small Polish drill made of glass with a smell of garlic, a large Polish box made of glass with a smell of lavender, an extra-extra-large Portuguese calculator made of steel with a smell of citrus fruits, an extra-extra-small Japanese ring made of concrete with a smell of chocolate, an extra-extra-small Turkish sunglasses made of concrete with a smell of freshly cut grass, a small Turkish necklace made of steel with a smell of garlic, a medium Japanese cup made of glass with a smell of citrus fruits, a large Brazilian clock made of steel with a smell of burning wood, an extra-large French plate made of glass with a smell of gasoline, an extra-extra-large Italian bicycle made of ceramic with a smell of baking bread, an extra-small Turkish shirt made of steel with a smell of chocolate, a large Spanish saw made of concrete with a smell of leather, an extra-large Japanese plate made of concrete with a smell of pine needles, an extra-large Canadian wallet made of concrete with a smell of leather, a medium British calculator made of plastic with a smell of citrus fruits. The color of the items was respectively as follows: the first 2 were beige, the next 1 was black, the next 4 were brown, the next 2 were crimson, the next 3 were gold, the next 1 was gray, the next 1 was indigo, the next 2 were magenta, the next 2 were maroon, the next 1 was orange, the next 4 were purple, the next 3 were red, the next 3 were silver, the next 2 were teal, the next 2 were turquoise, the next 2 were white. Then, for any item made of steel in my collection, my sister changed their color to her favorite color and changed their smell to wet dog. After this, my collection had: 2 beige item(s), 4 brown item(s), 2 gold item(s), 1 gray item(s), 2 magenta item(s), 2 maroon item(s), 1 orange item(s), 3 purple item(s), 2 red item(s), 2 silver item(s), 1 teal item(s), 2 turquoise item(s), 11 white item(s). Then, my brother replaced any item of size extra-small in my new collection with an exact copy but with one specific size (different from extra-small) and another exact copy but with color indigo. After this, my new collection had: 7 medium item(s), 8 extra-extra-large item(s), 8 large item(s), 6 extra-extra-small item(s), 4 extra-large item(s), 2 extra-small item(s), 2 small item(s). Then, my uncle threw away any British item in my new collection, but gave me two of the same item, one Iranian and one Turkish (all other properties the same). Then, my friend took any item with a smell of coffee, citrus fruits or pine needles in my new collection and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: either color is magenta, or size is small, or material is concrete, or smell is gasoline, or origin is Russian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:037", "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had an extra-small Russian bicycle made of glass with a smell of wet dog, an extra-large German calculator made of ceramic with a smell of baking bread, an extra-extra-small German speaker made of glass with a smell of gasoline, a small French brush made of ceramic with a smell of coconut, an extra-extra-small Chinese necklace made of steel with a smell of coconut, a small Polish apple made of concrete with a smell of baking bread, an extra-small French necklace made of ceramic with a smell of wet dog, an extra-large Russian earring made of glass with a smell of vanilla, a small French saw made of concrete with a smell of citrus fruits, an extra-extra-large Russian wrench made of plastic with a smell of vinegar, a large Canadian earring made of ceramic with a smell of coffee, an extra-small Mexican book made of concrete with a smell of burning wood, a small Turkish camera made of concrete with a smell of lavender, an extra-extra-large Turkish sofa made of steel with a smell of garlic, a medium Brazilian apple made of ceramic with a smell of garlic, an extra-extra-small British chair made of concrete with a smell of coconut, a large Afghan bird made of glass with a smell of chocolate, an extra-large Brazilian flower pot made of concrete with a smell of chocolate, an extra-extra-small Spanish flower pot made of plastic with a smell of freshly cut grass, a large Brazilian bowl made of ceramic with a smell of burning wood, a large Canadian bowl made of glass with a smell of coconut, a large Russian ring made of concrete with a smell of leather, a large Italian camera made of plastic with a smell of popcorn, a medium Japanese key made of steel with a smell of leather, a medium Polish car made of plastic with a smell of lavender, an extra-extra-small Italian bowl made of steel with a smell of coconut, an extra-extra-large French shirt made of glass with a smell of leather, an extra-extra-small Polish pencil made of ceramic with a smell of citrus fruits, an extra-extra-small Spanish marker made of concrete with a smell of coffee, a small British ring made of glass with a smell of popcorn, a large German spoon made of steel with a smell of vanilla, an extra-small Afghan necklace made of plastic with a smell of garlic, a small Turkish bicycle made of plastic with a smell of baking bread, a medium Chinese stapler made of concrete with a smell of lavender, an extra-large Turkish wallet made of plastic with a smell of lavender, an extra-extra-small Iranian plate made of plastic with a smell of chocolate, an extra-extra-large Mexican sofa made of concrete with a smell of coffee, a small Spanish plate made of ceramic with a smell of vinegar, a medium Polish box made of glass with a smell of freshly cut grass, an extra-extra-small Italian watch made of glass with a smell of vanilla, a small Canadian necklace made of ceramic with a smell of freshly cut grass, a medium Brazilian dog made of concrete with a smell of rose, an extra-extra-large Portuguese canvas made of concrete with a smell of garlic. The color of the items was respectively as follows: the first 6 were beige, the next 2 were black, the next 1 was blue, the next 1 was brown, the next 3 were crimson, the next 1 was cyan, the next 1 was gold, the next 4 were gray, the next 2 were green, the next 2 were indigo, the next 2 were ivory, the next 2 were khaki, the next 1 was magenta, the next 4 were maroon, the next 1 was purple, the next 3 were red, the next 1 was silver, the next 2 were turquoise, the next 1 was violet, the next 3 were white. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item made of steel in my new collection, my sister changed their color to her favorite color and changed their smell to gasoline. After this, my new collection had: 3 beige item(s), 1 blue item(s), 1 brown item(s), 1 crimson item(s), 2 gray item(s), 2 green item(s), 1 ivory item(s), 1 khaki item(s), 1 magenta item(s), 1 maroon item(s), 2 red item(s), 4 turquoise item(s), 1 violet item(s), 2 white item(s). Then, for any item of color turquoise in my new collection, my mom gave me another one of the same item, but with a gray color, Spanish origin, extra-large size, freshly cut grass smell, and made of plastic. Then, my brother replaced any item of size extra-large in my new collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color cyan. After this, my new collection had: 7 extra-small item(s), 6 extra-extra-small item(s), 2 small item(s), 3 extra-extra-large item(s), 6 extra-large item(s), 4 large item(s), 5 medium item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not red, size is not extra-extra-large, material is not glass, smell is not rose, and origin is not Japanese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:038", "request": "I had a collection of 50 weird items that went through a few changes. Initially, I had an extra-extra-small Polish chair made of ceramic with a smell of garlic, an extra-extra-large Portuguese knife made of steel with a smell of vanilla, a large Iranian bowl made of glass with a smell of pine needles, a medium Brazilian bag made of glass with a smell of leather, a small Iranian drill made of concrete with a smell of vanilla, a medium British shirt made of plastic with a smell of leather, a medium Italian key made of plastic with a smell of popcorn, an extra-extra-large Brazilian wrench made of steel with a smell of gasoline, an extra-small Spanish necklace made of concrete with a smell of lavender, an extra-extra-small Chinese speaker made of steel with a smell of rose, an extra-extra-large Spanish drill made of steel with a smell of citrus fruits, a medium Russian screwdriver made of plastic with a smell of lavender, a medium Japanese chair made of glass with a smell of baking bread, an extra-small British box made of concrete with a smell of vinegar, a medium Afghan dog made of plastic with a smell of citrus fruits, an extra-large Brazilian guitar made of glass with a smell of citrus fruits, an extra-large Japanese banana made of concrete with a smell of garlic, an extra-small Japanese bird made of glass with a smell of coconut, an extra-large British bird made of ceramic with a smell of wet dog, a small Chinese bicycle made of plastic with a smell of vinegar, an extra-small French car made of concrete with a smell of coconut, an extra-extra-large German drill made of plastic with a smell of coconut, a small French shoe made of steel with a smell of citrus fruits, an extra-extra-small French earring made of concrete with a smell of vinegar, an extra-extra-small Canadian book made of concrete with a smell of garlic, an extra-small Chinese bicycle made of glass with a smell of pine needles, a large Italian apple made of glass with a smell of garlic, a medium British bicycle made of plastic with a smell of freshly cut grass, a large Italian pencil made of concrete with a smell of coffee, an extra-large Chinese hat made of ceramic with a smell of leather, a medium Turkish sunglasses made of ceramic with a smell of pine needles, a medium German fork made of concrete with a smell of gasoline, an extra-large Spanish knife made of steel with a smell of popcorn, an extra-small Italian ball made of steel with a smell of garlic, an extra-extra-small Italian trash can made of concrete with a smell of popcorn, a medium Afghan screwdriver made of plastic with a smell of baking bread, an extra-large Russian bowl made of plastic with a smell of popcorn, an extra-small Russian marker made of plastic with a smell of baking bread, an extra-small Portuguese bed made of ceramic with a smell of rose, a small Italian table made of ceramic with a smell of baking bread, an extra-small Portuguese plier made of plastic with a smell of popcorn, an extra-large German vase made of ceramic with a smell of chocolate, an extra-extra-small French canvas made of glass with a smell of wet dog, an extra-extra-small Mexican bowl made of steel with a smell of rose, an extra-small French umbrella made of plastic with a smell of freshly cut grass, an extra-extra-large British jar made of plastic with a smell of freshly cut grass, an extra-extra-small British speaker made of concrete with a smell of chocolate, a small Afghan table made of glass with a smell of freshly cut grass, a medium British ring made of ceramic with a smell of vanilla, an extra-extra-large Russian saw made of ceramic with a smell of burning wood. The color of the items was respectively as follows: the first 3 were beige, the next 2 were black, the next 3 were blue, the next 3 were brown, the next 2 were cyan, the next 1 was gold, the next 2 were green, the next 2 were indigo, the next 4 were ivory, the next 1 was magenta, the next 4 were maroon, the next 3 were orange, the next 4 were pink, the next 1 was purple, the next 1 was red, the next 3 were silver, the next 3 were turquoise, the next 1 was violet, the next 4 were white, the next 3 were yellow. Then, my uncle threw away any Portuguese item in my collection, but gave me two of the same item, one Iranian and one Turkish (all other properties the same). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item of color yellow in my new collection, my mom gave me another one of the same item, but with a gold color, Iranian origin, extra-extra-large size, chocolate smell, and made of concrete. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 cyan item(s), 4 gold item(s), 1 indigo item(s), 4 ivory item(s), 1 magenta item(s), 4 maroon item(s), 2 orange item(s), 4 pink item(s), 1 purple item(s), 1 red item(s), 3 silver item(s), 4 turquoise item(s), 4 white item(s), 3 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is turquoise, or size is large, or material is glass, or smell is garlic, or origin is Chinese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:041", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had an extra-small Turkish car made of plastic with a smell of popcorn, a small Russian brush made of plastic with a smell of popcorn, an extra-extra-small Turkish speaker made of concrete with a smell of vinegar, a medium Turkish pencil made of plastic with a smell of coconut, an extra-extra-small Italian hat made of concrete with a smell of gasoline, a small Spanish bicycle made of plastic with a smell of lavender, an extra-extra-small British candle made of glass with a smell of vinegar, an extra-large Brazilian jar made of concrete with a smell of pine needles, an extra-extra-large German stapler made of plastic with a smell of freshly cut grass, an extra-small Afghan stapler made of concrete with a smell of garlic, an extra-small Italian pen made of plastic with a smell of garlic, a large Italian key made of plastic with a smell of lavender, a large French plier made of steel with a smell of coffee, an extra-large Canadian calculator made of plastic with a smell of wet dog, a large Canadian car made of concrete with a smell of vanilla, a medium German ring made of concrete with a smell of baking bread, an extra-large Chinese bird made of concrete with a smell of coffee, an extra-large Brazilian saw made of steel with a smell of lavender, an extra-extra-large Mexican necklace made of ceramic with a smell of lavender, an extra-small Afghan shirt made of glass with a smell of freshly cut grass, an extra-extra-large Afghan wrench made of glass with a smell of freshly cut grass, a large Portuguese canvas made of plastic with a smell of pine needles, an extra-extra-small French candle made of steel with a smell of burning wood, an extra-extra-small Brazilian key made of ceramic with a smell of citrus fruits, a medium Mexican ruler made of plastic with a smell of chocolate, a large Spanish canvas made of concrete with a smell of baking bread, a large Turkish car made of ceramic with a smell of freshly cut grass, an extra-extra-large Chinese wallet made of steel with a smell of baking bread, a small Portuguese sunglasses made of concrete with a smell of leather, a medium Russian plate made of steel with a smell of garlic, a large Mexican speaker made of glass with a smell of gasoline, a large Iranian bicycle made of steel with a smell of vanilla, an extra-small Brazilian book made of steel with a smell of vinegar. The color of the items was respectively as follows: the first 2 were black, the next 2 were crimson, the next 1 was cyan, the next 6 were gold, the next 2 were gray, the next 2 were green, the next 2 were indigo, the next 2 were ivory, the next 1 was khaki, the next 2 were magenta, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 3 were red, the next 2 were silver, the next 1 was teal, the next 1 was white. Then, for each item of size medium in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my collection had: 8 item(s) made of plastic, 8 item(s) made of concrete, 8 item(s) made of glass, 6 item(s) made of steel, 3 item(s) made of ceramic. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to garlic. After this, my new collection had: 7 beige item(s), 3 gold item(s), 2 gray item(s), 1 green item(s), 1 indigo item(s), 2 ivory item(s), 1 khaki item(s), 1 orange item(s), 1 pink item(s), 1 red item(s), 2 silver item(s), 1 teal item(s), 1 white item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 7 beige item(s), 3 gold item(s), 2 gray item(s), 1 indigo item(s), 2 ivory item(s), 1 khaki item(s), 1 orange item(s), 1 pink item(s), 1 red item(s), 2 silver item(s), 1 teal item(s), 1 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not beige, size is not extra-extra-large, material is not steel, smell is not vinegar, and origin is not Canadian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:045", "request": "I had a collection of 48 weird items that went through a few changes. Initially, I had an extra-small Iranian banana made of glass with a smell of gasoline, an extra-extra-large Portuguese ruler made of steel with a smell of coconut, a large Iranian stapler made of concrete with a smell of baking bread, an extra-small British guitar made of glass with a smell of vinegar, an extra-extra-small Japanese screwdriver made of glass with a smell of wet dog, a medium Portuguese hat made of steel with a smell of baking bread, an extra-extra-small Spanish piano made of plastic with a smell of burning wood, an extra-extra-large Brazilian lamp made of steel with a smell of chocolate, an extra-extra-large Brazilian clock made of plastic with a smell of leather, an extra-small Portuguese banana made of ceramic with a smell of gasoline, a large Mexican wallet made of plastic with a smell of wet dog, an extra-extra-large Brazilian shirt made of steel with a smell of garlic, a medium German necklace made of steel with a smell of lavender, an extra-extra-large Japanese pen made of plastic with a smell of lavender, a large Canadian fork made of glass with a smell of wet dog, an extra-extra-large Afghan canvas made of ceramic with a smell of rose, a medium Russian canvas made of concrete with a smell of chocolate, a small Japanese shoe made of glass with a smell of vanilla, an extra-extra-small Russian sofa made of steel with a smell of gasoline, an extra-large Italian key made of plastic with a smell of popcorn, an extra-large Brazilian calculator made of ceramic with a smell of vanilla, a small Spanish plate made of concrete with a smell of gasoline, a small Afghan piano made of plastic with a smell of citrus fruits, a small Turkish pen made of plastic with a smell of wet dog, an extra-extra-small Chinese lamp made of steel with a smell of burning wood, a small Japanese hat made of glass with a smell of garlic, an extra-small British canvas made of plastic with a smell of coconut, an extra-small Russian key made of steel with a smell of lavender, a medium German speaker made of glass with a smell of coffee, an extra-extra-large Brazilian ruler made of glass with a smell of freshly cut grass, an extra-extra-large French jar made of glass with a smell of chocolate, an extra-extra-large Chinese vase made of concrete with a smell of pine needles, an extra-extra-small Iranian bag made of concrete with a smell of lavender, a large Canadian banana made of ceramic with a smell of lavender, a medium French marker made of plastic with a smell of chocolate, an extra-large Mexican cup made of glass with a smell of gasoline, an extra-large Spanish shirt made of glass with a smell of rose, an extra-extra-large Spanish necklace made of glass with a smell of burning wood, a medium Portuguese spoon made of steel with a smell of burning wood, an extra-large Polish calculator made of ceramic with a smell of coconut, an extra-extra-small French necklace made of ceramic with a smell of coconut, a large Russian vase made of ceramic with a smell of vinegar, an extra-extra-large British bowl made of steel with a smell of wet dog, a small Afghan vase made of ceramic with a smell of coffee, a small Japanese bed made of concrete with a smell of lavender, an extra-small Italian brush made of ceramic with a smell of freshly cut grass, an extra-large Brazilian cup made of ceramic with a smell of citrus fruits, a small Polish shirt made of ceramic with a smell of coconut. The color of the items was respectively as follows: the first 5 were beige, the next 4 were black, the next 3 were blue, the next 2 were brown, the next 2 were crimson, the next 1 was cyan, the next 2 were gold, the next 5 were gray, the next 1 was green, the next 1 was indigo, the next 2 were khaki, the next 2 were magenta, the next 1 was maroon, the next 2 were orange, the next 2 were purple, the next 3 were red, the next 3 were silver, the next 2 were teal, the next 1 was turquoise, the next 1 was violet, the next 3 were white. Then, for each item of size large in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of baking bread (all other properties the same). After this, my collection had: 11 item(s) made of glass, 15 item(s) made of steel, 8 item(s) made of plastic, 9 item(s) made of ceramic, 5 item(s) made of concrete. Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to chocolate. After this, my new collection had: 2 beige item(s), 15 black item(s), 3 blue item(s), 2 brown item(s), 2 crimson item(s), 1 cyan item(s), 1 gold item(s), 5 gray item(s), 1 green item(s), 2 khaki item(s), 2 orange item(s), 2 purple item(s), 3 silver item(s), 2 teal item(s), 1 turquoise item(s), 1 violet item(s), 3 white item(s). Then, for any item of color purple in my new collection, my mom gave me another one of the same item, but with a silver color, Russian origin, large size, leather smell, and made of steel. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: color is not cyan, size is not extra-extra-small, material is not plastic, smell is not lavender, and origin is not Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:047", "request": "I had a collection of 31 weird items that went through a few changes. Initially, I had a medium Iranian wallet made of steel with a smell of coffee, a small Brazilian fork made of steel with a smell of rose, an extra-small Russian banana made of plastic with a smell of pine needles, an extra-extra-small Italian ruler made of glass with a smell of lavender, an extra-large Canadian stapler made of glass with a smell of leather, an extra-extra-small Brazilian clock made of concrete with a smell of citrus fruits, a large Russian shirt made of concrete with a smell of citrus fruits, an extra-small Brazilian wallet made of ceramic with a smell of citrus fruits, an extra-extra-large Canadian box made of glass with a smell of vanilla, an extra-small British flower pot made of glass with a smell of citrus fruits, a small Spanish guitar made of steel with a smell of chocolate, a small Mexican hammer made of concrete with a smell of gasoline, an extra-large Chinese apple made of glass with a smell of coffee, a small Mexican wallet made of concrete with a smell of wet dog, a large Japanese stapler made of plastic with a smell of chocolate, an extra-extra-large Iranian cup made of glass with a smell of coconut, a medium Spanish dog made of glass with a smell of garlic, a large Polish house made of ceramic with a smell of citrus fruits, an extra-extra-small Mexican jar made of steel with a smell of coconut, an extra-small Russian bowl made of concrete with a smell of burning wood, a small Japanese wrench made of ceramic with a smell of freshly cut grass, an extra-large French table made of steel with a smell of wet dog, a medium Russian jar made of glass with a smell of vinegar, a medium British camera made of glass with a smell of garlic, a medium Spanish trash can made of ceramic with a smell of vanilla, an extra-small Polish chair made of steel with a smell of burning wood, an extra-extra-large Spanish umbrella made of glass with a smell of vanilla, a large Brazilian guitar made of plastic with a smell of garlic, an extra-extra-small British clock made of steel with a smell of vanilla, a medium Spanish shirt made of steel with a smell of rose, an extra-small Afghan fork made of ceramic with a smell of coconut. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 2 were blue, the next 1 was crimson, the next 2 were gold, the next 1 was gray, the next 1 was indigo, the next 5 were ivory, the next 1 was khaki, the next 2 were magenta, the next 2 were pink, the next 1 was purple, the next 1 was red, the next 3 were silver, the next 2 were teal, the next 2 were violet, the next 2 were yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item with a smell of vanilla, leather, or lavender in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 4 item(s) with citrus fruits smell, 4 item(s) with vanilla smell, 7 item(s) with coconut smell, 1 item(s) with coffee smell, 1 item(s) with chocolate smell, 1 item(s) with garlic smell, 2 item(s) with burning wood smell, 1 item(s) with wet dog smell, 1 item(s) with vinegar smell, 1 item(s) with rose smell. Then, my friend took any item with a smell of lavender, coffee or vinegar in my new collection and threw it away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 crimson item(s), 1 gold item(s), 2 gray item(s), 1 indigo item(s), 1 ivory item(s), 1 khaki item(s), 2 magenta item(s), 2 pink item(s), 1 red item(s), 3 teal item(s), 2 violet item(s), 2 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not ivory, size is not extra-extra-large, material is not glass, smell is not citrus fruits, and origin is not Mexican? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:053", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had an extra-extra-small Italian table made of steel with a smell of citrus fruits, a small Portuguese earring made of ceramic with a smell of rose, a medium Portuguese bottle made of glass with a smell of garlic, an extra-extra-large Italian drill made of steel with a smell of freshly cut grass, a large Mexican chair made of steel with a smell of pine needles, an extra-large Russian plate made of ceramic with a smell of popcorn, a medium British guitar made of plastic with a smell of chocolate, a large Mexican cup made of ceramic with a smell of baking bread, an extra-large French hat made of concrete with a smell of vanilla, an extra-extra-small German book made of steel with a smell of garlic, an extra-extra-large Chinese hammer made of concrete with a smell of burning wood, an extra-extra-small French speaker made of glass with a smell of gasoline, an extra-extra-large Polish sofa made of ceramic with a smell of vanilla, a medium Brazilian bottle made of glass with a smell of garlic, a small French chair made of steel with a smell of garlic, a large British wallet made of ceramic with a smell of wet dog, an extra-small Brazilian candle made of steel with a smell of chocolate, an extra-extra-large German trash can made of ceramic with a smell of baking bread, an extra-large Afghan flower pot made of concrete with a smell of lavender, an extra-large Polish ring made of glass with a smell of coconut, an extra-large British pen made of ceramic with a smell of garlic, a large Afghan plate made of glass with a smell of citrus fruits, an extra-extra-large Iranian banana made of steel with a smell of burning wood, a small Turkish candle made of concrete with a smell of pine needles, an extra-extra-small Brazilian ruler made of plastic with a smell of rose, a medium British ruler made of ceramic with a smell of vinegar, an extra-small Turkish stapler made of concrete with a smell of popcorn, a small French hat made of concrete with a smell of baking bread, an extra-small Spanish flower pot made of glass with a smell of popcorn, an extra-small British pen made of steel with a smell of leather, an extra-extra-large Turkish chair made of steel with a smell of citrus fruits, an extra-extra-small Spanish banana made of ceramic with a smell of pine needles, a small Spanish wrench made of plastic with a smell of gasoline. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 1 was brown, the next 3 were crimson, the next 1 was gold, the next 1 was gray, the next 2 were green, the next 2 were indigo, the next 4 were khaki, the next 1 was magenta, the next 2 were maroon, the next 1 was orange, the next 3 were pink, the next 3 were purple, the next 1 was red, the next 1 was silver, the next 2 were teal, the next 1 was turquoise, the next 1 was yellow. Then, for each item of size medium in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of coconut (all other properties the same). After this, my collection had: 9 item(s) made of steel, 12 item(s) made of ceramic, 6 item(s) made of concrete, 4 item(s) made of glass, 2 item(s) made of plastic. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to coffee. After this, my new collection had: 1 blue item(s), 2 crimson item(s), 1 gold item(s), 1 gray item(s), 1 green item(s), 2 indigo item(s), 1 khaki item(s), 1 magenta item(s), 2 maroon item(s), 1 orange item(s), 1 pink item(s), 2 purple item(s), 1 red item(s), 1 silver item(s), 2 teal item(s). Then, my uncle threw away any Mexican item in my new collection, but gave me two of the same item, one British and one Spanish (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: color is not orange, size is not large, material is not steel, smell is not popcorn, and origin is not Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:055", "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had a large Brazilian piano made of ceramic with a smell of leather, an extra-large French watch made of steel with a smell of leather, an extra-extra-large Italian shirt made of ceramic with a smell of chocolate, an extra-large Iranian drill made of glass with a smell of vinegar, a small Spanish shirt made of plastic with a smell of coffee, an extra-large German clock made of plastic with a smell of gasoline, an extra-extra-small French flower pot made of glass with a smell of gasoline, a small Mexican wallet made of ceramic with a smell of coffee, an extra-extra-large Turkish banana made of plastic with a smell of vanilla, an extra-extra-small Chinese piano made of ceramic with a smell of popcorn, a large Italian earring made of plastic with a smell of leather, an extra-extra-large Italian book made of concrete with a smell of citrus fruits, a large Turkish bowl made of plastic with a smell of baking bread, an extra-large Japanese shirt made of steel with a smell of pine needles, an extra-extra-small Spanish watch made of plastic with a smell of baking bread, an extra-small Mexican bowl made of concrete with a smell of popcorn, a small Russian key made of steel with a smell of gasoline, an extra-large Brazilian bird made of concrete with a smell of popcorn, a medium British bowl made of glass with a smell of vinegar, an extra-extra-small German pencil made of steel with a smell of garlic, an extra-small Polish screwdriver made of glass with a smell of coconut, a small Chinese car made of glass with a smell of garlic, a medium Canadian wrench made of concrete with a smell of freshly cut grass, an extra-small Spanish lamp made of concrete with a smell of pine needles, a large Iranian ruler made of steel with a smell of chocolate, a large Italian sunglasses made of concrete with a smell of coconut, an extra-small Iranian piano made of concrete with a smell of vinegar, an extra-small Italian vase made of concrete with a smell of garlic, an extra-extra-large Afghan shoe made of ceramic with a smell of vanilla, an extra-extra-small Spanish drill made of glass with a smell of coffee, an extra-small Japanese table made of concrete with a smell of coconut, a small German car made of concrete with a smell of baking bread, a medium French bicycle made of glass with a smell of popcorn, a medium French clock made of steel with a smell of coffee, an extra-large French shirt made of glass with a smell of coconut, a small Spanish bottle made of steel with a smell of rose, an extra-large French sofa made of steel with a smell of citrus fruits. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 1 was blue, the next 1 was crimson, the next 2 were cyan, the next 4 were gold, the next 1 was gray, the next 1 was green, the next 1 was indigo, the next 3 were khaki, the next 1 was magenta, the next 1 was maroon, the next 2 were orange, the next 1 was pink, the next 2 were purple, the next 1 was red, the next 4 were teal, the next 5 were violet, the next 1 was white, the next 3 were yellow. Then, for any item made of steel in my collection, my sister changed their color to her favorite color and changed their smell to chocolate. After this, my collection had: 1 beige item(s), 1 blue item(s), 1 crimson item(s), 2 cyan item(s), 4 gold item(s), 1 gray item(s), 1 green item(s), 1 indigo item(s), 2 khaki item(s), 8 magenta item(s), 1 maroon item(s), 1 orange item(s), 1 pink item(s), 2 purple item(s), 1 red item(s), 3 teal item(s), 5 violet item(s), 1 yellow item(s). Then, my friend took any item with a smell of baking bread, freshly cut grass or leather in my new collection and threw it away. Then, for any item of color cyan in my new collection, my mom gave me another one of the same item, but with a gold color, British origin, medium size, garlic smell, and made of plastic. Then, for any item with a smell of wet dog, garlic, or lavender in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 9 item(s) with chocolate smell, 3 item(s) with vinegar smell, 3 item(s) with coffee smell, 2 item(s) with gasoline smell, 2 item(s) with vanilla smell, 4 item(s) with popcorn smell, 4 item(s) with garlic smell, 5 item(s) with citrus fruits smell, 4 item(s) with coconut smell, 1 item(s) with pine needles smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: color is not maroon, size is not extra-large, material is not concrete, smell is not coffee, and origin is not Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:062", "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had an extra-large Iranian car made of steel with a smell of lavender, a large Mexican hammer made of plastic with a smell of lavender, a medium Chinese hammer made of concrete with a smell of coffee, an extra-extra-large British shoe made of ceramic with a smell of popcorn, a small British cup made of glass with a smell of garlic, a small Afghan shoe made of plastic with a smell of rose, an extra-large Chinese bird made of glass with a smell of coconut, an extra-extra-small Japanese canvas made of plastic with a smell of pine needles, an extra-large Chinese pen made of concrete with a smell of rose, a large Chinese bird made of steel with a smell of pine needles, an extra-extra-small Chinese speaker made of plastic with a smell of garlic, an extra-extra-small Iranian dog made of plastic with a smell of gasoline, an extra-extra-large Chinese flower pot made of steel with a smell of vanilla, a medium Chinese bed made of plastic with a smell of pine needles, an extra-extra-small German wallet made of concrete with a smell of rose, an extra-large Polish brush made of ceramic with a smell of chocolate, an extra-large Chinese piano made of steel with a smell of citrus fruits, an extra-extra-large Spanish chair made of steel with a smell of pine needles, an extra-large Mexican book made of concrete with a smell of coffee, an extra-extra-small Japanese knife made of glass with a smell of coffee, a medium Chinese bicycle made of ceramic with a smell of leather, an extra-extra-small German trash can made of ceramic with a smell of lavender, an extra-large French hammer made of ceramic with a smell of wet dog, a large Russian house made of steel with a smell of burning wood, an extra-large Afghan cup made of steel with a smell of garlic, a large Iranian dog made of steel with a smell of baking bread, a small Mexican shoe made of concrete with a smell of coffee, a medium Chinese lamp made of ceramic with a smell of pine needles, an extra-large Italian hammer made of steel with a smell of lavender, an extra-large Brazilian sunglasses made of plastic with a smell of freshly cut grass, an extra-extra-large Italian bottle made of plastic with a smell of popcorn, a small Brazilian ruler made of concrete with a smell of citrus fruits, an extra-small Russian box made of glass with a smell of coconut, an extra-extra-small Chinese stapler made of ceramic with a smell of vanilla, an extra-extra-large Chinese camera made of ceramic with a smell of chocolate, a large German box made of glass with a smell of vinegar, an extra-extra-small Iranian pen made of ceramic with a smell of leather. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 2 were blue, the next 4 were brown, the next 1 was crimson, the next 2 were cyan, the next 1 was gray, the next 2 were green, the next 3 were indigo, the next 1 was ivory, the next 4 were khaki, the next 2 were magenta, the next 2 were maroon, the next 1 was orange, the next 4 were red, the next 1 was silver, the next 1 was teal, the next 1 was white, the next 2 were yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item of color white in my new collection, my mom gave me another one of the same item, but with a brown color, Brazilian origin, large size, burning wood smell, and made of ceramic. Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of lavender (all other properties the same). After this, my new collection had: 6 item(s) made of glass, 7 item(s) made of ceramic, 5 item(s) made of plastic, 3 item(s) made of steel, 3 item(s) made of concrete. Then, for any item with a smell of burning wood, popcorn, or coffee in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 6 item(s) with lavender smell, 2 item(s) with popcorn smell, 6 item(s) with freshly cut grass smell, 2 item(s) with rose smell, 4 item(s) with pine needles smell, 2 item(s) with burning wood smell, 1 item(s) with garlic smell, 2 item(s) with vanilla smell, 2 item(s) with coffee smell, 1 item(s) with leather smell, 1 item(s) with citrus fruits smell, 1 item(s) with chocolate smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: either color is teal, or size is extra-extra-large, or material is steel, or smell is rose, or origin is Russian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:063", "request": "I had a collection of 44 weird items that went through a few changes. Initially, I had a medium Chinese pencil made of glass with a smell of citrus fruits, an extra-small Japanese bed made of concrete with a smell of baking bread, a small Chinese plate made of glass with a smell of garlic, a large Russian brush made of concrete with a smell of rose, an extra-large Russian bottle made of concrete with a smell of citrus fruits, a small Russian hat made of plastic with a smell of leather, a small French flower pot made of plastic with a smell of pine needles, a small Polish pencil made of plastic with a smell of baking bread, an extra-small Canadian shirt made of ceramic with a smell of wet dog, an extra-extra-large Portuguese chair made of ceramic with a smell of garlic, an extra-small Brazilian knife made of plastic with a smell of baking bread, an extra-small Portuguese hat made of concrete with a smell of garlic, an extra-small British earring made of plastic with a smell of vinegar, a large Italian flower pot made of plastic with a smell of garlic, an extra-small Iranian bowl made of ceramic with a smell of coffee, an extra-extra-small Japanese bottle made of ceramic with a smell of popcorn, an extra-small Iranian pencil made of glass with a smell of leather, an extra-extra-large Italian marker made of concrete with a smell of chocolate, an extra-extra-small Canadian bottle made of steel with a smell of freshly cut grass, a medium French sunglasses made of ceramic with a smell of chocolate, a large Japanese scissors made of plastic with a smell of garlic, a small Polish spoon made of plastic with a smell of pine needles, an extra-small Italian screwdriver made of concrete with a smell of popcorn, an extra-extra-large German fork made of plastic with a smell of freshly cut grass, an extra-extra-small Chinese cup made of concrete with a smell of gasoline, a large Brazilian apple made of concrete with a smell of vinegar, an extra-small Spanish spoon made of concrete with a smell of citrus fruits, an extra-large Mexican bottle made of plastic with a smell of gasoline, an extra-extra-small Iranian book made of ceramic with a smell of lavender, a medium French box made of glass with a smell of coconut, a large Canadian jar made of steel with a smell of coffee, an extra-small German plate made of steel with a smell of leather, an extra-large Afghan calculator made of glass with a smell of freshly cut grass, a medium Brazilian watch made of plastic with a smell of chocolate, a small Portuguese clock made of ceramic with a smell of vinegar, an extra-small British shoe made of glass with a smell of burning wood, an extra-extra-small Canadian book made of glass with a smell of garlic, a medium British bicycle made of plastic with a smell of citrus fruits, an extra-small Afghan spoon made of plastic with a smell of burning wood, an extra-large Portuguese earring made of glass with a smell of garlic, an extra-extra-small British hammer made of concrete with a smell of leather, a large Chinese pen made of plastic with a smell of leather, a small Japanese table made of ceramic with a smell of citrus fruits, an extra-large Spanish knife made of ceramic with a smell of vinegar. The color of the items was respectively as follows: the first 2 were black, the next 3 were blue, the next 1 was brown, the next 2 were crimson, the next 1 was cyan, the next 2 were gold, the next 2 were gray, the next 2 were green, the next 1 was indigo, the next 2 were ivory, the next 1 was khaki, the next 2 were magenta, the next 3 were maroon, the next 3 were orange, the next 1 was pink, the next 5 were silver, the next 3 were teal, the next 3 were turquoise, the next 2 were violet, the next 2 were white, the next 1 was yellow. Then, my brother replaced any item of size extra-small in my collection with an exact copy but with one specific size (different from extra-small) and another exact copy but with color purple. After this, my collection had: 5 medium item(s), 18 extra-extra-small item(s), 7 small item(s), 6 large item(s), 5 extra-large item(s), 3 extra-extra-large item(s), 12 extra-small item(s). Then, for any item of color magenta in my new collection, my mom gave me another one of the same item, but with a gray color, Spanish origin, extra-small size, burning wood smell, and made of concrete. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 black item(s), 3 blue item(s), 1 brown item(s), 1 cyan item(s), 2 gold item(s), 4 gray item(s), 2 green item(s), 1 indigo item(s), 2 ivory item(s), 1 khaki item(s), 2 magenta item(s), 3 maroon item(s), 3 orange item(s), 1 pink item(s), 12 purple item(s), 5 silver item(s), 3 teal item(s), 3 turquoise item(s), 2 violet item(s), 2 white item(s), 1 yellow item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: color is not brown, size is not extra-small, material is not ceramic, smell is not rose, and origin is not Russian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:068", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had a medium Japanese saw made of plastic with a smell of leather, an extra-extra-small Spanish calculator made of plastic with a smell of baking bread, an extra-small British saw made of glass with a smell of wet dog, a large Brazilian bag made of concrete with a smell of citrus fruits, a small Chinese piano made of glass with a smell of rose, an extra-small Iranian box made of concrete with a smell of pine needles, an extra-extra-small Japanese knife made of ceramic with a smell of leather, an extra-small French box made of ceramic with a smell of freshly cut grass, a medium Spanish book made of steel with a smell of coffee, an extra-extra-small German camera made of concrete with a smell of coffee, an extra-extra-large Polish dog made of plastic with a smell of citrus fruits, a small Italian saw made of plastic with a smell of wet dog, an extra-large Canadian marker made of concrete with a smell of freshly cut grass, an extra-large Mexican camera made of plastic with a smell of freshly cut grass, a small Chinese jar made of plastic with a smell of vinegar, an extra-extra-small Turkish fork made of steel with a smell of lavender, an extra-extra-large Canadian house made of concrete with a smell of coconut, a large Italian wallet made of concrete with a smell of baking bread, a medium Spanish lamp made of glass with a smell of freshly cut grass, a small Spanish jar made of concrete with a smell of coffee, a large Afghan cup made of steel with a smell of coffee, an extra-large German necklace made of ceramic with a smell of chocolate, a medium Iranian car made of ceramic with a smell of citrus fruits, a small French plate made of concrete with a smell of popcorn, an extra-extra-small Brazilian plate made of glass with a smell of citrus fruits, an extra-extra-small Japanese dog made of glass with a smell of gasoline, a large Mexican dog made of glass with a smell of citrus fruits, an extra-extra-large Japanese house made of plastic with a smell of coffee, a medium Portuguese ball made of ceramic with a smell of burning wood, an extra-large German wallet made of concrete with a smell of citrus fruits, a small Portuguese speaker made of steel with a smell of chocolate, a medium Canadian vase made of ceramic with a smell of coconut, a large Russian canvas made of steel with a smell of rose, a small Spanish banana made of concrete with a smell of citrus fruits, an extra-large Japanese vase made of glass with a smell of pine needles. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 3 were brown, the next 2 were crimson, the next 1 was cyan, the next 2 were gold, the next 2 were green, the next 2 were ivory, the next 1 was khaki, the next 1 was maroon, the next 3 were orange, the next 3 were pink, the next 2 were purple, the next 1 was red, the next 1 was silver, the next 5 were turquoise, the next 1 was violet, the next 1 was white, the next 1 was yellow. Then, my uncle threw away any Canadian item in my collection, but gave me two of the same item, one Afghan and one Portuguese (all other properties the same). Then, for any item made of ceramic in my new collection, my sister changed their color to her favorite color and changed their smell to coconut. After this, my new collection had: 1 beige item(s), 2 black item(s), 3 brown item(s), 1 cyan item(s), 2 gold item(s), 3 green item(s), 2 ivory item(s), 1 khaki item(s), 2 maroon item(s), 3 orange item(s), 1 pink item(s), 2 purple item(s), 1 red item(s), 1 silver item(s), 3 turquoise item(s), 8 violet item(s), 1 white item(s), 1 yellow item(s). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item with a smell of vinegar, baking bread, or citrus fruits in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 1 item(s) with leather smell, 1 item(s) with baking bread smell, 2 item(s) with wet dog smell, 5 item(s) with burning wood smell, 4 item(s) with citrus fruits smell, 2 item(s) with rose smell, 3 item(s) with coffee smell, 1 item(s) with lavender smell, 8 item(s) with coconut smell, 1 item(s) with freshly cut grass smell, 1 item(s) with gasoline smell, 1 item(s) with chocolate smell, 1 item(s) with pine needles smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: either color is yellow, or size is extra-large, or material is steel, or smell is gasoline, or origin is Chinese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:070", "request": "I had a collection of 49 weird items that went through a few changes. Initially, I had a large Polish wallet made of ceramic with a smell of coconut, an extra-extra-large Portuguese bowl made of ceramic with a smell of citrus fruits, a large Mexican chair made of concrete with a smell of baking bread, an extra-small Iranian umbrella made of ceramic with a smell of gasoline, a medium Chinese bicycle made of steel with a smell of burning wood, an extra-small Iranian box made of concrete with a smell of baking bread, a medium Turkish pen made of concrete with a smell of leather, an extra-large Iranian key made of glass with a smell of rose, an extra-large Japanese earring made of glass with a smell of gasoline, a large Spanish wrench made of plastic with a smell of baking bread, a medium Canadian ruler made of plastic with a smell of coffee, an extra-extra-small French box made of glass with a smell of pine needles, an extra-small Portuguese marker made of glass with a smell of leather, an extra-extra-large Polish flower pot made of ceramic with a smell of coconut, an extra-large Turkish stapler made of plastic with a smell of vinegar, a large Polish camera made of glass with a smell of chocolate, a medium Iranian bed made of glass with a smell of vanilla, an extra-extra-large Turkish piano made of ceramic with a smell of vinegar, a small Polish hat made of plastic with a smell of chocolate, a small British bicycle made of concrete with a smell of lavender, a large Chinese hat made of glass with a smell of pine needles, an extra-extra-small Portuguese cup made of glass with a smell of gasoline, a large French canvas made of ceramic with a smell of popcorn, a medium Mexican ball made of glass with a smell of pine needles, a large Portuguese dog made of glass with a smell of rose, an extra-large Russian ring made of ceramic with a smell of coconut, an extra-extra-small German plate made of plastic with a smell of garlic, an extra-extra-large French dog made of glass with a smell of garlic, an extra-extra-small Spanish plate made of glass with a smell of gasoline, an extra-small Brazilian speaker made of glass with a smell of pine needles, an extra-extra-small Japanese wallet made of glass with a smell of baking bread, a medium Chinese banana made of plastic with a smell of citrus fruits, a large Brazilian drill made of plastic with a smell of freshly cut grass, a large Brazilian umbrella made of concrete with a smell of rose, an extra-large Canadian cup made of steel with a smell of vinegar, a large Brazilian candle made of ceramic with a smell of garlic, an extra-extra-large Brazilian bag made of glass with a smell of citrus fruits, an extra-extra-small Afghan plier made of plastic with a smell of citrus fruits, an extra-large British knife made of concrete with a smell of coconut, a small Chinese bowl made of concrete with a smell of rose, an extra-extra-small French guitar made of ceramic with a smell of chocolate, an extra-extra-small French plate made of ceramic with a smell of citrus fruits, an extra-large British bottle made of plastic with a smell of citrus fruits, an extra-small Chinese ring made of concrete with a smell of burning wood, a small Japanese stapler made of steel with a smell of leather, a medium Brazilian watch made of glass with a smell of lavender, a small Japanese spoon made of glass with a smell of rose, an extra-small Chinese banana made of steel with a smell of citrus fruits, an extra-extra-small Spanish ruler made of glass with a smell of burning wood. The color of the items was respectively as follows: the first 3 were beige, the next 1 was black, the next 2 were blue, the next 3 were brown, the next 1 was crimson, the next 3 were cyan, the next 1 was gold, the next 5 were gray, the next 2 were green, the next 2 were indigo, the next 1 was ivory, the next 3 were magenta, the next 3 were maroon, the next 3 were orange, the next 1 was pink, the next 3 were purple, the next 2 were red, the next 2 were silver, the next 1 was turquoise, the next 3 were violet, the next 1 was white, the next 3 were yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 3 beige item(s), 1 black item(s), 2 blue item(s), 3 brown item(s), 1 crimson item(s), 1 gold item(s), 5 gray item(s), 2 green item(s), 2 indigo item(s), 1 ivory item(s), 3 magenta item(s), 3 maroon item(s), 3 orange item(s), 1 pink item(s), 3 purple item(s), 2 red item(s), 2 silver item(s), 1 turquoise item(s), 3 violet item(s), 1 white item(s), 3 yellow item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for each item of size extra-extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of lavender (all other properties the same). After this, my new collection had: 3 item(s) made of ceramic, 9 item(s) made of plastic, 9 item(s) made of glass, 5 item(s) made of concrete, 2 item(s) made of steel. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is orange, or size is large, or material is glass, or smell is vanilla, or origin is Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:072", "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had an extra-extra-large Italian key made of glass with a smell of pine needles, an extra-large French key made of glass with a smell of chocolate, an extra-small German bag made of ceramic with a smell of pine needles, an extra-extra-small Portuguese chair made of steel with a smell of gasoline, an extra-extra-large British umbrella made of steel with a smell of vinegar, a large Iranian jar made of plastic with a smell of baking bread, a medium Russian brush made of glass with a smell of garlic, an extra-small Chinese house made of steel with a smell of vinegar, a small Turkish marker made of concrete with a smell of citrus fruits, a large Japanese ruler made of concrete with a smell of coffee, a large German dog made of glass with a smell of rose, a small Mexican hat made of steel with a smell of citrus fruits, a large Portuguese bottle made of steel with a smell of vinegar, an extra-extra-small Brazilian table made of glass with a smell of chocolate, a large French dog made of glass with a smell of baking bread, a small Brazilian ring made of ceramic with a smell of chocolate, a small Chinese shoe made of concrete with a smell of lavender, a medium Polish calculator made of steel with a smell of freshly cut grass, a large Italian necklace made of concrete with a smell of chocolate, an extra-extra-large German vase made of plastic with a smell of freshly cut grass, an extra-small British house made of steel with a smell of leather, a large Russian car made of steel with a smell of rose, a large Afghan sunglasses made of concrete with a smell of citrus fruits, a large Iranian shoe made of concrete with a smell of baking bread, a large Canadian ring made of glass with a smell of vinegar, a small Polish house made of steel with a smell of vanilla, a medium Portuguese hat made of steel with a smell of lavender, an extra-extra-large Polish candle made of steel with a smell of vinegar, an extra-large Iranian calculator made of ceramic with a smell of coconut, a large Canadian ball made of glass with a smell of vinegar, an extra-small British table made of concrete with a smell of garlic, a small Afghan calculator made of plastic with a smell of lavender, an extra-extra-large Russian vase made of concrete with a smell of coffee, a large Afghan house made of steel with a smell of citrus fruits, an extra-large Chinese flower pot made of ceramic with a smell of vanilla, an extra-extra-small Brazilian wrench made of glass with a smell of lavender, an extra-large Iranian jar made of ceramic with a smell of citrus fruits, a large Italian lamp made of glass with a smell of lavender. The color of the items was respectively as follows: the first 1 was beige, the next 1 was blue, the next 1 was brown, the next 3 were crimson, the next 3 were cyan, the next 2 were gold, the next 1 was gray, the next 2 were green, the next 1 was indigo, the next 1 was ivory, the next 5 were khaki, the next 1 was magenta, the next 2 were maroon, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 2 were red, the next 1 was silver, the next 2 were teal, the next 2 were turquoise, the next 1 was violet, the next 3 were white. Then, for any item with a smell of leather, baking bread, or vinegar in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 2 item(s) with pine needles smell, 4 item(s) with chocolate smell, 1 item(s) with gasoline smell, 6 item(s) with vinegar smell, 3 item(s) with baking bread smell, 12 item(s) with vanilla smell, 2 item(s) with garlic smell, 5 item(s) with citrus fruits smell, 2 item(s) with coffee smell, 2 item(s) with rose smell, 5 item(s) with lavender smell, 2 item(s) with freshly cut grass smell, 1 item(s) with leather smell, 1 item(s) with coconut smell. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 1 blue item(s), 1 brown item(s), 5 crimson item(s), 4 cyan item(s), 2 gold item(s), 1 gray item(s), 3 green item(s), 2 indigo item(s), 1 ivory item(s), 6 khaki item(s), 1 magenta item(s), 2 orange item(s), 1 pink item(s), 1 purple item(s), 3 red item(s), 2 silver item(s), 2 teal item(s), 2 turquoise item(s), 1 violet item(s), 3 white item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my uncle threw away any Canadian item in my new collection, but gave me two of the same item, one Afghan and one Japanese (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is crimson, or size is medium, or material is concrete, or smell is lavender, or origin is Italian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:073", "request": "I had a collection of 44 weird items that went through a few changes. Initially, I had a large French sunglasses made of glass with a smell of burning wood, an extra-large German necklace made of glass with a smell of wet dog, an extra-extra-small Spanish speaker made of ceramic with a smell of wet dog, a small Italian chair made of concrete with a smell of lavender, an extra-extra-small Iranian knife made of glass with a smell of baking bread, a medium Russian shirt made of concrete with a smell of lavender, a small Italian canvas made of plastic with a smell of lavender, an extra-extra-small Brazilian marker made of glass with a smell of rose, a large Polish pencil made of plastic with a smell of lavender, an extra-extra-large Chinese bicycle made of concrete with a smell of citrus fruits, a large Mexican pen made of concrete with a smell of chocolate, an extra-extra-large Italian scissors made of plastic with a smell of coconut, a small British dog made of plastic with a smell of leather, an extra-small Canadian necklace made of ceramic with a smell of garlic, a small Chinese calculator made of plastic with a smell of leather, an extra-small Russian marker made of ceramic with a smell of burning wood, an extra-extra-small Chinese pen made of ceramic with a smell of coffee, an extra-extra-small Russian marker made of ceramic with a smell of pine needles, an extra-extra-small Canadian wrench made of concrete with a smell of coconut, an extra-small Russian cup made of ceramic with a smell of chocolate, an extra-large Japanese sofa made of concrete with a smell of coffee, a large Chinese calculator made of plastic with a smell of burning wood, an extra-large Afghan scissors made of ceramic with a smell of gasoline, a medium British necklace made of ceramic with a smell of vanilla, an extra-large Chinese spoon made of steel with a smell of vanilla, a medium Canadian scissors made of concrete with a smell of citrus fruits, an extra-extra-large Portuguese watch made of concrete with a smell of garlic, an extra-extra-small Italian banana made of concrete with a smell of rose, an extra-large Italian sunglasses made of plastic with a smell of rose, an extra-extra-large Brazilian key made of steel with a smell of burning wood, a large French car made of steel with a smell of rose, an extra-small Canadian table made of glass with a smell of baking bread, a large French guitar made of plastic with a smell of popcorn, an extra-extra-large French house made of plastic with a smell of coconut, an extra-extra-large Turkish shoe made of glass with a smell of coconut, an extra-small Polish stapler made of concrete with a smell of garlic, an extra-large Russian earring made of glass with a smell of coffee, an extra-extra-large Portuguese ball made of ceramic with a smell of citrus fruits, an extra-large Mexican bed made of plastic with a smell of lavender, a medium British canvas made of ceramic with a smell of lavender, an extra-small Afghan saw made of plastic with a smell of garlic, a small Afghan plier made of ceramic with a smell of lavender, an extra-small Spanish umbrella made of ceramic with a smell of garlic, a large Turkish brush made of ceramic with a smell of pine needles. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 4 were blue, the next 2 were brown, the next 2 were cyan, the next 2 were gold, the next 3 were gray, the next 1 was green, the next 1 was indigo, the next 1 was ivory, the next 1 was khaki, the next 1 was magenta, the next 1 was maroon, the next 4 were orange, the next 2 were pink, the next 2 were purple, the next 1 was red, the next 3 were silver, the next 1 was teal, the next 2 were turquoise, the next 1 was violet, the next 2 were white, the next 4 were yellow. Then, for any item with a smell of vanilla, vinegar, or garlic in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 4 item(s) with burning wood smell, 2 item(s) with wet dog smell, 7 item(s) with lavender smell, 2 item(s) with baking bread smell, 4 item(s) with rose smell, 3 item(s) with citrus fruits smell, 2 item(s) with chocolate smell, 4 item(s) with coconut smell, 2 item(s) with leather smell, 5 item(s) with garlic smell, 7 item(s) with freshly cut grass smell, 3 item(s) with coffee smell, 2 item(s) with pine needles smell, 1 item(s) with gasoline smell, 2 item(s) with vanilla smell, 1 item(s) with popcorn smell. Then, for each item of size large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of rose (all other properties the same). After this, my new collection had: 18 item(s) made of concrete, 6 item(s) made of glass, 15 item(s) made of ceramic, 9 item(s) made of plastic, 3 item(s) made of steel. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my brother replaced any item of size medium in my new collection with an exact copy but with one specific size (different from medium) and another exact copy but with color ivory. After this, my new collection had: 8 extra-extra-large item(s), 4 large item(s), 6 small item(s), 10 extra-small item(s), 1 extra-extra-small item(s), 3 medium item(s), 7 extra-large item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: color is not magenta, size is not extra-large, material is not steel, smell is not leather, and origin is not Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:074", "request": "I had a collection of 44 weird items that went through a few changes. Initially, I had a large French banana made of concrete with a smell of garlic, a medium Portuguese plate made of glass with a smell of burning wood, an extra-extra-small Russian book made of steel with a smell of baking bread, an extra-large Brazilian house made of ceramic with a smell of coconut, a large Afghan ball made of ceramic with a smell of lavender, an extra-extra-large Japanese ball made of concrete with a smell of wet dog, an extra-large Japanese wrench made of steel with a smell of coconut, an extra-extra-small Iranian vase made of glass with a smell of burning wood, an extra-large British pencil made of glass with a smell of vanilla, an extra-small Turkish calculator made of plastic with a smell of gasoline, a small Italian knife made of steel with a smell of baking bread, a medium Canadian ring made of steel with a smell of popcorn, an extra-small Turkish calculator made of glass with a smell of gasoline, an extra-extra-large French calculator made of concrete with a smell of vinegar, a large French bag made of glass with a smell of gasoline, a medium Italian car made of ceramic with a smell of vanilla, an extra-large Italian bed made of concrete with a smell of freshly cut grass, a medium British candle made of ceramic with a smell of freshly cut grass, a small Polish bag made of glass with a smell of vinegar, a small Chinese screwdriver made of glass with a smell of garlic, an extra-large French spoon made of glass with a smell of vinegar, a small German brush made of ceramic with a smell of vanilla, an extra-small British brush made of steel with a smell of coffee, an extra-extra-small French car made of ceramic with a smell of vinegar, an extra-large French sofa made of glass with a smell of baking bread, an extra-extra-small Chinese necklace made of plastic with a smell of garlic, a large Japanese car made of plastic with a smell of vinegar, an extra-extra-small Chinese bird made of steel with a smell of wet dog, an extra-small Brazilian ball made of plastic with a smell of burning wood, an extra-extra-small Japanese plate made of ceramic with a smell of gasoline, an extra-extra-large German cup made of glass with a smell of wet dog, an extra-large Iranian canvas made of plastic with a smell of gasoline, a small Turkish ring made of glass with a smell of rose, an extra-extra-small Polish jar made of plastic with a smell of coconut, an extra-extra-small Canadian house made of ceramic with a smell of baking bread, an extra-extra-small Brazilian bed made of concrete with a smell of citrus fruits, an extra-small Iranian stapler made of glass with a smell of gasoline, an extra-extra-large Brazilian speaker made of steel with a smell of coconut, a small French flower pot made of concrete with a smell of rose, an extra-extra-small Turkish shirt made of steel with a smell of chocolate, an extra-small Italian piano made of plastic with a smell of freshly cut grass, a small British earring made of steel with a smell of leather, a large Mexican pencil made of concrete with a smell of citrus fruits, an extra-extra-small Polish pen made of ceramic with a smell of coconut. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 5 were blue, the next 1 was brown, the next 2 were crimson, the next 2 were cyan, the next 3 were gold, the next 3 were gray, the next 1 was green, the next 6 were ivory, the next 1 was magenta, the next 2 were maroon, the next 3 were orange, the next 3 were pink, the next 1 was purple, the next 3 were teal, the next 1 was violet, the next 3 were white, the next 2 were yellow. Then, my friend took any item with a smell of gasoline, citrus fruits or vanilla in my collection and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item made of ceramic in my new collection, my sister changed their color to her favorite color and changed their smell to chocolate. After this, my new collection had: 1 beige item(s), 1 black item(s), 3 blue item(s), 1 brown item(s), 1 cyan item(s), 1 gold item(s), 1 gray item(s), 1 green item(s), 4 ivory item(s), 1 magenta item(s), 1 maroon item(s), 5 orange item(s), 1 pink item(s), 1 teal item(s), 1 violet item(s), 3 white item(s). Then, my uncle threw away any Italian item in my new collection, but gave me two of the same item, one French and one Polish (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: either color is magenta, or size is small, or material is glass, or smell is garlic, or origin is Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:077", "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had an extra-extra-small Japanese drill made of ceramic with a smell of baking bread, a large Canadian lamp made of plastic with a smell of gasoline, a large British house made of plastic with a smell of garlic, a small Japanese knife made of steel with a smell of vinegar, an extra-small British bag made of ceramic with a smell of gasoline, a medium Italian fork made of steel with a smell of coconut, an extra-large German sofa made of steel with a smell of baking bread, a large Iranian trash can made of concrete with a smell of vanilla, a small Russian bicycle made of glass with a smell of wet dog, a small Mexican house made of plastic with a smell of pine needles, a large Afghan drill made of steel with a smell of citrus fruits, an extra-large Afghan lamp made of concrete with a smell of freshly cut grass, an extra-large Iranian necklace made of plastic with a smell of lavender, a medium Polish plate made of concrete with a smell of pine needles, a large Turkish spoon made of concrete with a smell of burning wood, a medium Spanish car made of steel with a smell of coffee, a small French box made of glass with a smell of freshly cut grass, a medium Turkish bird made of concrete with a smell of coconut, an extra-small Portuguese sunglasses made of plastic with a smell of gasoline, a large Portuguese bird made of plastic with a smell of garlic, an extra-extra-small French spoon made of glass with a smell of citrus fruits, a large Russian bag made of plastic with a smell of lavender, an extra-extra-small Spanish flower pot made of ceramic with a smell of garlic, a medium Iranian key made of ceramic with a smell of citrus fruits, an extra-extra-large Polish stapler made of steel with a smell of citrus fruits, an extra-small Chinese car made of glass with a smell of garlic, a small Chinese pencil made of plastic with a smell of coconut, an extra-small German guitar made of steel with a smell of coffee, an extra-small German necklace made of concrete with a smell of chocolate, a large Afghan knife made of concrete with a smell of vinegar, an extra-large Brazilian camera made of steel with a smell of vanilla, an extra-extra-small Afghan piano made of concrete with a smell of baking bread, a large Turkish speaker made of glass with a smell of chocolate, an extra-large German house made of concrete with a smell of leather, an extra-large Portuguese wallet made of steel with a smell of garlic, a small German spoon made of glass with a smell of rose, an extra-large Mexican ball made of ceramic with a smell of vanilla, an extra-small Italian sunglasses made of steel with a smell of vinegar. The color of the items was respectively as follows: the first 4 were beige, the next 2 were black, the next 2 were brown, the next 1 was crimson, the next 1 was cyan, the next 2 were gold, the next 1 was gray, the next 3 were indigo, the next 4 were ivory, the next 2 were khaki, the next 2 were magenta, the next 4 were pink, the next 2 were purple, the next 1 was teal, the next 2 were turquoise, the next 1 was violet, the next 3 were white, the next 1 was yellow. Then, for any item of color teal in my collection, my mom gave me another one of the same item, but with a khaki color, French origin, extra-extra-small size, vanilla smell, and made of concrete. Then, my friend took any item with a smell of popcorn, leather or baking bread in my new collection and threw it away. Then, my uncle threw away any Portuguese item in my new collection, but gave me two of the same item, one Brazilian and one Japanese (all other properties the same). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: color is not crimson, size is not large, material is not ceramic, smell is not wet dog, and origin is not Spanish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:078", "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had a medium Brazilian box made of ceramic with a smell of pine needles, an extra-large Iranian car made of glass with a smell of garlic, an extra-extra-large Brazilian knife made of ceramic with a smell of burning wood, an extra-extra-large Turkish umbrella made of plastic with a smell of freshly cut grass, a large Spanish necklace made of steel with a smell of leather, an extra-small Russian bed made of concrete with a smell of vinegar, an extra-extra-large Chinese plier made of glass with a smell of wet dog, a large Japanese wrench made of plastic with a smell of vinegar, a small Japanese hammer made of glass with a smell of lavender, a large Russian saw made of ceramic with a smell of wet dog, a large British banana made of concrete with a smell of gasoline, a medium Japanese fork made of concrete with a smell of popcorn, an extra-extra-large German plier made of ceramic with a smell of leather, a small Spanish jar made of ceramic with a smell of garlic, a large Spanish bowl made of concrete with a smell of lavender, a small Japanese umbrella made of steel with a smell of freshly cut grass, an extra-extra-small Iranian sofa made of ceramic with a smell of coffee, a small Turkish saw made of plastic with a smell of citrus fruits, a small Polish vase made of ceramic with a smell of burning wood, a large British watch made of concrete with a smell of garlic, an extra-extra-large British lamp made of concrete with a smell of garlic, an extra-large French piano made of steel with a smell of vinegar, an extra-small Chinese stapler made of concrete with a smell of vanilla, an extra-large Canadian sunglasses made of steel with a smell of burning wood, an extra-extra-large Iranian fork made of concrete with a smell of garlic, a small Iranian brush made of plastic with a smell of coffee, an extra-large Russian cup made of ceramic with a smell of baking bread, an extra-extra-large Turkish shoe made of steel with a smell of popcorn, a large French candle made of plastic with a smell of pine needles, an extra-large Afghan box made of plastic with a smell of citrus fruits, a small Italian hat made of plastic with a smell of freshly cut grass, an extra-small Italian saw made of ceramic with a smell of garlic, an extra-extra-small Japanese apple made of steel with a smell of freshly cut grass, an extra-large German bed made of concrete with a smell of chocolate, an extra-small Iranian ring made of glass with a smell of leather, a small British saw made of ceramic with a smell of vinegar, a large Chinese chair made of glass with a smell of leather. The color of the items was respectively as follows: the first 1 was beige, the next 3 were black, the next 3 were brown, the next 2 were crimson, the next 2 were cyan, the next 2 were gold, the next 1 was gray, the next 1 was indigo, the next 1 was ivory, the next 1 was khaki, the next 3 were maroon, the next 2 were orange, the next 2 were pink, the next 3 were purple, the next 1 was red, the next 3 were silver, the next 1 was teal, the next 1 was turquoise, the next 2 were white, the next 2 were yellow. Then, for each item of size extra-large in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of burning wood (all other properties the same). After this, my collection had: 15 item(s) made of ceramic, 6 item(s) made of plastic, 4 item(s) made of steel, 8 item(s) made of concrete, 4 item(s) made of glass. Then, for any item of color white in my new collection, my mom gave me another one of the same item, but with a silver color, Italian origin, extra-large size, gasoline smell, and made of concrete. Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to leather. After this, my new collection had: 1 beige item(s), 3 black item(s), 2 brown item(s), 1 crimson item(s), 6 cyan item(s), 2 gold item(s), 1 gray item(s), 1 indigo item(s), 1 ivory item(s), 1 khaki item(s), 3 maroon item(s), 2 orange item(s), 2 pink item(s), 3 purple item(s), 1 red item(s), 5 silver item(s), 1 teal item(s), 1 turquoise item(s), 1 white item(s), 1 yellow item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 3 black item(s), 2 brown item(s), 1 crimson item(s), 6 cyan item(s), 2 gold item(s), 1 gray item(s), 1 indigo item(s), 1 ivory item(s), 1 khaki item(s), 3 maroon item(s), 2 orange item(s), 2 pink item(s), 3 purple item(s), 1 red item(s), 5 silver item(s), 1 teal item(s), 1 turquoise item(s), 1 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is orange, or size is medium, or material is steel, or smell is vanilla, or origin is French? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:081", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had an extra-large Spanish calculator made of plastic with a smell of vinegar, a medium Spanish hat made of steel with a smell of pine needles, a medium Turkish jar made of steel with a smell of freshly cut grass, an extra-extra-large French plier made of plastic with a smell of pine needles, an extra-extra-large Russian sunglasses made of steel with a smell of pine needles, a medium Turkish drill made of concrete with a smell of coffee, a small Russian canvas made of ceramic with a smell of pine needles, a large Iranian ring made of glass with a smell of rose, an extra-large Afghan screwdriver made of concrete with a smell of rose, an extra-extra-large French camera made of concrete with a smell of citrus fruits, a large Portuguese bird made of plastic with a smell of pine needles, a medium Russian ruler made of plastic with a smell of lavender, an extra-extra-small Russian hammer made of glass with a smell of burning wood, an extra-large Afghan umbrella made of glass with a smell of lavender, an extra-extra-large British shoe made of steel with a smell of burning wood, an extra-large Japanese ruler made of ceramic with a smell of rose, an extra-extra-large French cup made of glass with a smell of vinegar, an extra-extra-large Spanish fork made of plastic with a smell of lavender, a small Spanish key made of steel with a smell of garlic, a medium British hat made of ceramic with a smell of coconut, an extra-large Japanese screwdriver made of plastic with a smell of popcorn, a small Mexican house made of glass with a smell of wet dog, a medium Afghan umbrella made of plastic with a smell of gasoline, a small British brush made of plastic with a smell of coconut, an extra-extra-large Mexican book made of ceramic with a smell of leather, an extra-small Canadian candle made of glass with a smell of freshly cut grass, an extra-large Afghan brush made of concrete with a smell of lavender, an extra-large Turkish umbrella made of glass with a smell of coconut, an extra-extra-small Mexican fork made of steel with a smell of coffee, an extra-extra-small Polish pencil made of ceramic with a smell of coconut, a medium Brazilian plier made of ceramic with a smell of lavender, an extra-extra-large Iranian umbrella made of plastic with a smell of citrus fruits, an extra-extra-small Canadian candle made of plastic with a smell of wet dog, an extra-small Portuguese bird made of concrete with a smell of baking bread, a large Turkish bicycle made of ceramic with a smell of coconut. The color of the items was respectively as follows: the first 1 was beige, the next 1 was blue, the next 4 were crimson, the next 3 were cyan, the next 2 were gold, the next 2 were gray, the next 1 was green, the next 2 were indigo, the next 1 was ivory, the next 3 were khaki, the next 3 were magenta, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 5 were purple, the next 2 were teal, the next 1 was violet, the next 1 was yellow. Then, for any item of color pink in my collection, my mom gave me another one of the same item, but with a teal color, Turkish origin, extra-small size, wet dog smell, and made of plastic. Then, for any item with a smell of leather, freshly cut grass, or wet dog in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with vinegar smell, 5 item(s) with pine needles smell, 2 item(s) with freshly cut grass smell, 2 item(s) with coffee smell, 7 item(s) with gasoline smell, 3 item(s) with rose smell, 2 item(s) with citrus fruits smell, 5 item(s) with lavender smell, 2 item(s) with burning wood smell, 1 item(s) with garlic smell, 5 item(s) with coconut smell, 1 item(s) with popcorn smell, 3 item(s) with wet dog smell, 1 item(s) with leather smell, 1 item(s) with baking bread smell. Then, my brother replaced any item of size extra-extra-large in my new collection with an exact copy but with one specific size (different from extra-extra-large) and another exact copy but with color green. After this, my new collection had: 16 extra-large item(s), 8 medium item(s), 5 small item(s), 3 large item(s), 5 extra-extra-small item(s), 9 extra-extra-large item(s), 5 extra-small item(s). Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to gasoline. After this, my new collection had: 1 beige item(s), 1 blue item(s), 4 crimson item(s), 2 cyan item(s), 1 gold item(s), 2 gray item(s), 9 green item(s), 2 indigo item(s), 1 ivory item(s), 3 khaki item(s), 4 magenta item(s), 1 maroon item(s), 2 orange item(s), 2 pink item(s), 4 purple item(s), 5 teal item(s), 6 violet item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: color is not gray, size is not extra-large, material is not concrete, smell is not lavender, and origin is not British? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:087", "request": "I had a collection of 34 weird items that went through a few changes. Initially, I had an extra-extra-small Mexican box made of steel with a smell of chocolate, a small Spanish scissors made of plastic with a smell of citrus fruits, a medium Japanese bag made of glass with a smell of popcorn, an extra-extra-large Polish screwdriver made of ceramic with a smell of wet dog, a large German chair made of plastic with a smell of vinegar, an extra-large Turkish scissors made of ceramic with a smell of burning wood, a small Polish house made of glass with a smell of popcorn, an extra-small Portuguese stapler made of steel with a smell of vanilla, an extra-large French bed made of ceramic with a smell of leather, a medium Turkish camera made of steel with a smell of garlic, an extra-extra-large Polish chair made of glass with a smell of vanilla, an extra-extra-small Russian banana made of concrete with a smell of vinegar, a medium Brazilian chair made of concrete with a smell of citrus fruits, a medium Brazilian screwdriver made of glass with a smell of gasoline, an extra-small Brazilian sunglasses made of concrete with a smell of gasoline, an extra-extra-small Italian lamp made of plastic with a smell of pine needles, an extra-small Mexican ruler made of concrete with a smell of baking bread, an extra-large Chinese plate made of plastic with a smell of citrus fruits, an extra-small Brazilian trash can made of concrete with a smell of baking bread, an extra-small German plate made of glass with a smell of coconut, a medium Brazilian car made of glass with a smell of gasoline, a large French sunglasses made of steel with a smell of chocolate, an extra-extra-large Chinese guitar made of steel with a smell of freshly cut grass, an extra-large German book made of plastic with a smell of garlic, an extra-extra-large Polish car made of concrete with a smell of gasoline, a large Chinese bag made of ceramic with a smell of gasoline, an extra-large Italian piano made of concrete with a smell of citrus fruits, a small Spanish bag made of ceramic with a smell of baking bread, a small Afghan ruler made of steel with a smell of coffee, an extra-extra-small Italian calculator made of glass with a smell of burning wood, a large Turkish earring made of ceramic with a smell of garlic, a medium Portuguese plier made of ceramic with a smell of popcorn, an extra-large British watch made of plastic with a smell of burning wood, a large Canadian umbrella made of ceramic with a smell of freshly cut grass. The color of the items was respectively as follows: the first 1 was brown, the next 1 was crimson, the next 2 were gold, the next 1 was gray, the next 6 were green, the next 2 were indigo, the next 4 were ivory, the next 2 were orange, the next 1 was pink, the next 2 were purple, the next 1 was red, the next 1 was silver, the next 2 were teal, the next 3 were turquoise, the next 2 were violet, the next 3 were yellow. Then, my uncle threw away any Canadian item in my collection, but gave me two of the same item, one Portuguese and one Italian (all other properties the same). Then, for each item of size large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of coconut (all other properties the same). After this, my new collection had: 5 item(s) made of steel, 5 item(s) made of plastic, 7 item(s) made of glass, 11 item(s) made of ceramic, 7 item(s) made of concrete. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: color is not teal, size is not extra-small, material is not plastic, smell is not pine needles, and origin is not Japanese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:088", "request": "I had a collection of 45 weird items that went through a few changes. Initially, I had an extra-extra-large Afghan hat made of steel with a smell of coconut, an extra-large Japanese jar made of ceramic with a smell of leather, an extra-small Russian hat made of ceramic with a smell of wet dog, a large Portuguese book made of steel with a smell of freshly cut grass, a small Brazilian scissors made of ceramic with a smell of burning wood, a medium Spanish table made of ceramic with a smell of baking bread, a medium Brazilian fork made of ceramic with a smell of burning wood, a small Japanese necklace made of steel with a smell of chocolate, an extra-small Spanish cup made of plastic with a smell of pine needles, an extra-extra-small Spanish car made of concrete with a smell of popcorn, a large Japanese trash can made of glass with a smell of coffee, an extra-large Portuguese banana made of plastic with a smell of gasoline, an extra-small Brazilian candle made of concrete with a smell of rose, an extra-large Mexican shoe made of plastic with a smell of popcorn, a small French book made of glass with a smell of coffee, a medium Portuguese bird made of plastic with a smell of lavender, an extra-small Canadian saw made of steel with a smell of gasoline, an extra-small Canadian brush made of glass with a smell of coffee, an extra-large Portuguese sunglasses made of concrete with a smell of wet dog, an extra-small British box made of concrete with a smell of lavender, a small Spanish sofa made of plastic with a smell of pine needles, an extra-extra-small French canvas made of glass with a smell of baking bread, an extra-extra-small Spanish clock made of ceramic with a smell of popcorn, an extra-extra-small Iranian stapler made of concrete with a smell of gasoline, a small Italian screwdriver made of plastic with a smell of coconut, an extra-small British chair made of concrete with a smell of burning wood, a large French flower pot made of steel with a smell of wet dog, a small Iranian cup made of concrete with a smell of wet dog, an extra-extra-large Portuguese drill made of steel with a smell of leather, an extra-large Chinese box made of steel with a smell of popcorn, an extra-extra-small Afghan camera made of plastic with a smell of coffee, a small Chinese guitar made of glass with a smell of citrus fruits, an extra-large Italian sofa made of ceramic with a smell of freshly cut grass, a medium Brazilian book made of concrete with a smell of wet dog, an extra-extra-small Chinese screwdriver made of concrete with a smell of freshly cut grass, an extra-large British piano made of glass with a smell of coffee, a medium Russian bag made of plastic with a smell of gasoline, a small Brazilian dog made of plastic with a smell of chocolate, an extra-extra-small Russian umbrella made of glass with a smell of garlic, an extra-extra-large French brush made of ceramic with a smell of lavender, a large German shirt made of glass with a smell of coconut, a medium French hat made of plastic with a smell of citrus fruits, an extra-extra-small Mexican banana made of ceramic with a smell of pine needles, an extra-extra-large Brazilian table made of concrete with a smell of garlic, a small German trash can made of concrete with a smell of coconut. The color of the items was respectively as follows: the first 3 were beige, the next 3 were black, the next 3 were blue, the next 4 were brown, the next 1 was crimson, the next 2 were gold, the next 1 was gray, the next 2 were green, the next 1 was indigo, the next 3 were ivory, the next 1 was magenta, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 5 were red, the next 2 were silver, the next 2 were teal, the next 2 were turquoise, the next 3 were violet, the next 2 were white, the next 1 was yellow. Then, my brother replaced any item of size extra-small in my collection with an exact copy but with one specific size (different from extra-small) and another exact copy but with color gray. After this, my collection had: 4 extra-extra-large item(s), 7 extra-large item(s), 11 large item(s), 9 small item(s), 6 medium item(s), 8 extra-extra-small item(s), 7 extra-small item(s). Then, my friend took any item with a smell of rose, garlic or burning wood in my new collection and threw it away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 3 beige item(s), 2 black item(s), 2 blue item(s), 3 brown item(s), 1 crimson item(s), 2 gold item(s), 6 gray item(s), 1 indigo item(s), 3 ivory item(s), 1 magenta item(s), 1 maroon item(s), 1 pink item(s), 1 purple item(s), 5 red item(s), 2 silver item(s), 2 teal item(s), 1 turquoise item(s), 3 violet item(s), 1 white item(s), 1 yellow item(s). Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to chocolate. After this, my new collection had: 3 beige item(s), 2 black item(s), 2 blue item(s), 2 brown item(s), 1 crimson item(s), 2 gold item(s), 5 gray item(s), 3 ivory item(s), 1 maroon item(s), 1 pink item(s), 5 red item(s), 2 teal item(s), 1 turquoise item(s), 11 violet item(s), 1 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is red, or size is medium, or material is glass, or smell is leather, or origin is German? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:090", "request": "I had a collection of 49 weird items that went through a few changes. Initially, I had an extra-extra-small Iranian sofa made of glass with a smell of freshly cut grass, a small French car made of concrete with a smell of popcorn, an extra-small Russian book made of concrete with a smell of citrus fruits, an extra-extra-small Portuguese bicycle made of steel with a smell of vanilla, an extra-small Polish bowl made of ceramic with a smell of lavender, a small Mexican chair made of steel with a smell of vinegar, an extra-extra-large Italian watch made of ceramic with a smell of garlic, an extra-extra-large Mexican house made of steel with a smell of burning wood, an extra-extra-large Afghan key made of concrete with a smell of citrus fruits, a medium German stapler made of concrete with a smell of coffee, an extra-extra-small French shirt made of steel with a smell of pine needles, an extra-small Japanese bottle made of glass with a smell of rose, an extra-large Iranian sunglasses made of plastic with a smell of coconut, an extra-extra-large German trash can made of plastic with a smell of coconut, an extra-small Chinese car made of steel with a smell of coconut, an extra-large Spanish house made of ceramic with a smell of vinegar, an extra-extra-small Afghan vase made of glass with a smell of coconut, an extra-large Japanese book made of steel with a smell of gasoline, an extra-extra-large Canadian candle made of plastic with a smell of vanilla, an extra-extra-small Afghan bag made of concrete with a smell of burning wood, an extra-extra-large Mexican piano made of ceramic with a smell of baking bread, an extra-large Japanese plier made of ceramic with a smell of coffee, a small Polish canvas made of plastic with a smell of vinegar, an extra-extra-small Russian candle made of steel with a smell of lavender, a small Spanish table made of glass with a smell of vinegar, a large Japanese saw made of steel with a smell of wet dog, a large Italian camera made of steel with a smell of citrus fruits, an extra-large German ball made of concrete with a smell of vinegar, a large British saw made of steel with a smell of leather, an extra-extra-large Polish fork made of glass with a smell of citrus fruits, an extra-extra-small Mexican plier made of plastic with a smell of freshly cut grass, a medium Brazilian bag made of ceramic with a smell of burning wood, an extra-extra-small Polish watch made of plastic with a smell of gasoline, a medium Afghan trash can made of plastic with a smell of citrus fruits, an extra-large Japanese watch made of plastic with a smell of rose, an extra-large Mexican shoe made of concrete with a smell of popcorn, a large Chinese bag made of ceramic with a smell of freshly cut grass, an extra-extra-small British drill made of concrete with a smell of vinegar, a large German pen made of glass with a smell of lavender, an extra-small Italian knife made of plastic with a smell of wet dog, a small Spanish dog made of ceramic with a smell of burning wood, an extra-large Turkish bag made of steel with a smell of coffee, a medium Brazilian wallet made of steel with a smell of vinegar, an extra-small Russian screwdriver made of plastic with a smell of lavender, a medium Japanese car made of concrete with a smell of coconut, a medium German stapler made of concrete with a smell of chocolate, an extra-extra-large Portuguese brush made of steel with a smell of chocolate, a medium Russian ruler made of plastic with a smell of gasoline, a medium German plier made of concrete with a smell of lavender. The color of the items was respectively as follows: the first 5 were black, the next 1 was blue, the next 3 were crimson, the next 2 were cyan, the next 3 were gold, the next 3 were gray, the next 2 were indigo, the next 2 were ivory, the next 2 were khaki, the next 1 was magenta, the next 3 were maroon, the next 2 were orange, the next 1 was pink, the next 1 was purple, the next 1 was red, the next 1 was silver, the next 4 were teal, the next 2 were turquoise, the next 3 were violet, the next 4 were white, the next 3 were yellow. Then, my friend took any item with a smell of freshly cut grass, lavender or vinegar in my collection and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item with a smell of garlic, burning wood, or gasoline in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with popcorn smell, 2 item(s) with vanilla smell, 1 item(s) with garlic smell, 4 item(s) with burning wood smell, 3 item(s) with citrus fruits smell, 7 item(s) with freshly cut grass smell, 1 item(s) with pine needles smell, 2 item(s) with rose smell, 4 item(s) with coconut smell, 1 item(s) with baking bread smell, 2 item(s) with coffee smell, 2 item(s) with gasoline smell, 1 item(s) with wet dog smell, 1 item(s) with chocolate smell. Then, my uncle threw away any Italian item in my new collection, but gave me two of the same item, one Polish and one Mexican (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: either color is crimson, or size is extra-extra-small, or material is ceramic, or smell is popcorn, or origin is Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:092", "request": "I had a collection of 42 weird items that went through a few changes. Initially, I had a large German trash can made of concrete with a smell of gasoline, an extra-extra-small Japanese saw made of glass with a smell of gasoline, an extra-extra-small German stapler made of plastic with a smell of coffee, a medium Mexican bicycle made of steel with a smell of coffee, a large Russian dog made of concrete with a smell of gasoline, an extra-extra-large Chinese table made of ceramic with a smell of vanilla, a medium Iranian bag made of concrete with a smell of wet dog, a large Spanish key made of ceramic with a smell of vanilla, an extra-large Japanese dog made of glass with a smell of pine needles, an extra-extra-large Portuguese ball made of steel with a smell of rose, an extra-large Afghan dog made of plastic with a smell of baking bread, an extra-large Japanese hat made of concrete with a smell of coconut, a large Polish hammer made of plastic with a smell of citrus fruits, a large French shirt made of glass with a smell of coconut, a large Russian hammer made of plastic with a smell of garlic, an extra-small Russian pen made of glass with a smell of wet dog, an extra-small Polish wallet made of ceramic with a smell of freshly cut grass, an extra-large Russian box made of glass with a smell of rose, an extra-large French table made of concrete with a smell of pine needles, an extra-large Canadian candle made of glass with a smell of coconut, a large Mexican flower pot made of plastic with a smell of garlic, an extra-small Iranian pencil made of plastic with a smell of burning wood, a large Portuguese cup made of glass with a smell of chocolate, an extra-extra-small Polish vase made of plastic with a smell of wet dog, a medium Brazilian brush made of glass with a smell of freshly cut grass, a large British earring made of steel with a smell of burning wood, a large Portuguese apple made of ceramic with a smell of coconut, a large Iranian stapler made of plastic with a smell of burning wood, an extra-small Turkish car made of glass with a smell of vinegar, an extra-extra-large Russian vase made of steel with a smell of lavender, a large French scissors made of glass with a smell of rose, an extra-extra-small Japanese dog made of steel with a smell of lavender, a medium British bag made of concrete with a smell of freshly cut grass, an extra-large Polish hat made of plastic with a smell of vinegar, an extra-extra-large Turkish knife made of plastic with a smell of burning wood, an extra-extra-large Chinese ring made of plastic with a smell of chocolate, an extra-extra-large Brazilian knife made of plastic with a smell of citrus fruits, an extra-extra-small Mexican fork made of plastic with a smell of wet dog, a medium Spanish ring made of steel with a smell of coconut, an extra-large Afghan camera made of plastic with a smell of lavender, an extra-large Canadian piano made of plastic with a smell of vinegar, an extra-large Spanish stapler made of plastic with a smell of vanilla. The color of the items was respectively as follows: the first 4 were beige, the next 2 were black, the next 4 were blue, the next 1 was brown, the next 1 was crimson, the next 6 were gold, the next 1 was gray, the next 1 was green, the next 3 were indigo, the next 1 was ivory, the next 2 were khaki, the next 3 were magenta, the next 2 were maroon, the next 1 was pink, the next 2 were red, the next 2 were silver, the next 2 were turquoise, the next 2 were violet, the next 1 was white, the next 1 was yellow. Then, for any item made of glass in my collection, my sister changed their color to her favorite color and changed their smell to garlic. After this, my collection had: 3 beige item(s), 2 black item(s), 3 blue item(s), 1 brown item(s), 1 crimson item(s), 3 gold item(s), 1 gray item(s), 2 indigo item(s), 1 ivory item(s), 1 khaki item(s), 2 magenta item(s), 1 maroon item(s), 10 orange item(s), 1 pink item(s), 2 red item(s), 2 silver item(s), 2 turquoise item(s), 2 violet item(s), 1 white item(s), 1 yellow item(s). Then, my brother replaced any item of size large in my new collection with an exact copy but with one specific size (different from large) and another exact copy but with color indigo. After this, my new collection had: 17 medium item(s), 5 extra-extra-small item(s), 6 extra-extra-large item(s), 10 extra-large item(s), 4 extra-small item(s), 12 large item(s). Then, for any item with a smell of coconut, wet dog, or burning wood in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 4 item(s) with gasoline smell, 2 item(s) with coffee smell, 4 item(s) with vanilla smell, 3 item(s) with wet dog smell, 1 item(s) with rose smell, 16 item(s) with citrus fruits smell, 1 item(s) with baking bread smell, 4 item(s) with coconut smell, 17 item(s) with garlic smell, 2 item(s) with freshly cut grass smell, 1 item(s) with pine needles smell, 6 item(s) with burning wood smell, 3 item(s) with lavender smell, 2 item(s) with vinegar smell, 1 item(s) with chocolate smell. Then, my uncle threw away any Afghan item in my new collection, but gave me two of the same item, one Chinese and one Spanish (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: either color is pink, or size is extra-extra-large, or material is glass, or smell is freshly cut grass, or origin is Chinese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:093", "request": "I had a collection of 30 weird items that went through a few changes. Initially, I had an extra-large Iranian piano made of plastic with a smell of garlic, a small French knife made of steel with a smell of lavender, an extra-extra-small Portuguese book made of steel with a smell of coconut, an extra-extra-large Italian candle made of ceramic with a smell of chocolate, an extra-extra-large Brazilian hat made of glass with a smell of leather, an extra-extra-large Iranian box made of steel with a smell of gasoline, an extra-large Chinese marker made of steel with a smell of vanilla, a medium British wallet made of plastic with a smell of pine needles, an extra-extra-small Brazilian piano made of steel with a smell of freshly cut grass, a medium Iranian bottle made of plastic with a smell of chocolate, a medium Afghan box made of plastic with a smell of citrus fruits, an extra-small Chinese bottle made of glass with a smell of lavender, an extra-small Chinese cup made of plastic with a smell of chocolate, an extra-extra-large Polish umbrella made of glass with a smell of citrus fruits, an extra-extra-large Chinese ball made of steel with a smell of freshly cut grass, a large Spanish table made of ceramic with a smell of garlic, an extra-extra-large Canadian chair made of steel with a smell of pine needles, an extra-extra-large Afghan lamp made of plastic with a smell of pine needles, an extra-large German hat made of concrete with a smell of pine needles, a medium British pencil made of steel with a smell of citrus fruits, a large Brazilian sunglasses made of steel with a smell of baking bread, a medium Brazilian bicycle made of plastic with a smell of gasoline, an extra-large British bottle made of plastic with a smell of baking bread, a large Chinese calculator made of ceramic with a smell of citrus fruits, an extra-small Iranian candle made of concrete with a smell of garlic, an extra-small Italian cup made of glass with a smell of rose, an extra-large Chinese hammer made of glass with a smell of baking bread, an extra-small French apple made of steel with a smell of garlic, an extra-extra-large German bicycle made of concrete with a smell of coffee, a small Italian plate made of plastic with a smell of rose. The color of the items was respectively as follows: the first 3 were black, the next 2 were brown, the next 2 were crimson, the next 1 was gold, the next 2 were gray, the next 2 were green, the next 3 were ivory, the next 2 were khaki, the next 1 was magenta, the next 1 was orange, the next 1 was purple, the next 4 were red, the next 1 was turquoise, the next 1 was violet, the next 2 were white, the next 2 were yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item of color red in my new collection, my mom gave me another one of the same item, but with a magenta color, Chinese origin, medium size, pine needles smell, and made of steel. Then, for any item made of steel in my new collection, my sister changed their color to her favorite color and changed their smell to popcorn. After this, my new collection had: 11 brown item(s), 1 gold item(s), 1 gray item(s), 1 green item(s), 1 ivory item(s), 1 khaki item(s), 1 magenta item(s), 2 red item(s), 1 white item(s), 1 yellow item(s). Then, for each item of size extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of lavender (all other properties the same). After this, my new collection had: 10 item(s) made of steel, 7 item(s) made of plastic, 2 item(s) made of glass, 2 item(s) made of ceramic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: color is not magenta, size is not extra-large, material is not steel, smell is not citrus fruits, and origin is not Afghan? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:097", "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had an extra-small Iranian bird made of concrete with a smell of gasoline, a medium Russian plate made of plastic with a smell of lavender, an extra-large Spanish earring made of plastic with a smell of leather, a medium Brazilian candle made of concrete with a smell of vanilla, an extra-extra-small Iranian knife made of plastic with a smell of garlic, a small Turkish marker made of glass with a smell of wet dog, a medium German plier made of glass with a smell of coconut, a large Polish candle made of glass with a smell of popcorn, a large Brazilian cup made of glass with a smell of vanilla, a medium Italian trash can made of ceramic with a smell of coffee, an extra-large Brazilian jar made of plastic with a smell of citrus fruits, a large Afghan jar made of plastic with a smell of chocolate, an extra-extra-large Spanish piano made of ceramic with a smell of vanilla, an extra-extra-large Iranian clock made of plastic with a smell of coffee, a large Brazilian banana made of ceramic with a smell of lavender, a large Russian hat made of plastic with a smell of popcorn, an extra-extra-large Canadian brush made of steel with a smell of vanilla, a medium Afghan hat made of concrete with a smell of citrus fruits, an extra-large Afghan bag made of ceramic with a smell of popcorn, an extra-small Canadian bowl made of ceramic with a smell of coconut, an extra-large Russian speaker made of steel with a smell of lavender, a large Italian book made of concrete with a smell of coconut, a small British scissors made of plastic with a smell of lavender, an extra-large French guitar made of concrete with a smell of leather, a small Brazilian box made of plastic with a smell of citrus fruits, an extra-extra-small Japanese clock made of ceramic with a smell of garlic, a medium Chinese wallet made of plastic with a smell of coconut, an extra-extra-small Mexican car made of ceramic with a smell of coffee, an extra-large French shoe made of plastic with a smell of gasoline, an extra-large British sunglasses made of plastic with a smell of rose, an extra-small Russian bag made of concrete with a smell of garlic, a small British bottle made of ceramic with a smell of leather, a small Portuguese vase made of plastic with a smell of wet dog, an extra-large Chinese flower pot made of plastic with a smell of wet dog, a small Spanish wrench made of glass with a smell of burning wood, a small Spanish brush made of glass with a smell of pine needles, an extra-small French trash can made of glass with a smell of leather. The color of the items was respectively as follows: the first 2 were black, the next 3 were blue, the next 1 was brown, the next 3 were cyan, the next 1 was gold, the next 2 were gray, the next 2 were green, the next 2 were ivory, the next 1 was khaki, the next 4 were magenta, the next 4 were maroon, the next 1 was orange, the next 1 was pink, the next 2 were red, the next 1 was silver, the next 1 was teal, the next 2 were turquoise, the next 1 was violet, the next 1 was white, the next 2 were yellow. Then, my uncle threw away any Canadian item in my collection, but gave me two of the same item, one Polish and one Spanish (all other properties the same). Then, my friend took any item with a smell of chocolate, pine needles or coconut in my new collection and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my brother replaced any item of size extra-extra-small in my new collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color ivory. After this, my new collection had: 1 extra-small item(s), 1 medium item(s), 7 extra-large item(s), 4 large item(s), 6 small item(s), 1 extra-extra-large item(s), 2 extra-extra-small item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: color is not silver, size is not medium, material is not ceramic, smell is not garlic, and origin is not Turkish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:100", "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had an extra-large Chinese speaker made of glass with a smell of freshly cut grass, a large Spanish flower pot made of concrete with a smell of chocolate, a small Spanish ball made of plastic with a smell of coffee, a small Mexican bottle made of concrete with a smell of burning wood, an extra-extra-small Spanish screwdriver made of plastic with a smell of lavender, a medium Mexican watch made of ceramic with a smell of gasoline, an extra-small Turkish apple made of concrete with a smell of popcorn, a medium Polish box made of plastic with a smell of popcorn, an extra-extra-large Chinese saw made of steel with a smell of wet dog, an extra-extra-small Spanish lamp made of plastic with a smell of garlic, a large Iranian bottle made of concrete with a smell of pine needles, an extra-extra-small Italian canvas made of ceramic with a smell of lavender, an extra-large Russian bed made of glass with a smell of burning wood, an extra-extra-small Russian bag made of concrete with a smell of citrus fruits, a large Russian apple made of steel with a smell of pine needles, an extra-extra-small Mexican clock made of glass with a smell of wet dog, an extra-large Chinese dog made of concrete with a smell of burning wood, an extra-extra-large British bowl made of concrete with a smell of leather, a small Spanish guitar made of glass with a smell of rose, a medium Russian bottle made of steel with a smell of gasoline, a medium Italian trash can made of ceramic with a smell of gasoline, an extra-small British pen made of steel with a smell of citrus fruits, an extra-small Japanese spoon made of concrete with a smell of chocolate, an extra-small Chinese sunglasses made of concrete with a smell of garlic, an extra-extra-large Canadian plate made of concrete with a smell of citrus fruits, a large British wallet made of ceramic with a smell of popcorn, an extra-large Afghan bird made of ceramic with a smell of wet dog, an extra-extra-small Canadian bird made of ceramic with a smell of vinegar, a small Turkish sofa made of concrete with a smell of vanilla, an extra-extra-large French chair made of concrete with a smell of wet dog, an extra-extra-large Italian chair made of concrete with a smell of pine needles, an extra-extra-small Chinese house made of steel with a smell of leather, an extra-extra-large Chinese table made of ceramic with a smell of wet dog, a small German marker made of plastic with a smell of chocolate, a small Afghan sunglasses made of plastic with a smell of rose, an extra-large Russian sofa made of concrete with a smell of coffee, an extra-small Turkish house made of concrete with a smell of freshly cut grass, an extra-large Spanish wrench made of plastic with a smell of rose, an extra-small Turkish apple made of steel with a smell of coffee, an extra-extra-large Russian key made of ceramic with a smell of coffee, a small Portuguese bag made of glass with a smell of coconut, an extra-extra-small Portuguese bicycle made of concrete with a smell of burning wood, an extra-extra-small Turkish ring made of glass with a smell of burning wood. The color of the items was respectively as follows: the first 3 were beige, the next 1 was black, the next 1 was blue, the next 5 were brown, the next 1 was gold, the next 2 were gray, the next 4 were green, the next 1 was indigo, the next 3 were ivory, the next 1 was khaki, the next 2 were magenta, the next 2 were maroon, the next 2 were orange, the next 1 was pink, the next 3 were purple, the next 2 were red, the next 2 were silver, the next 1 was teal, the next 2 were turquoise, the next 2 were white, the next 2 were yellow. Then, my uncle threw away any Italian item in my collection, but gave me two of the same item, one Russian and one French (all other properties the same). Then, my friend took any item with a smell of freshly cut grass, burning wood or wet dog in my new collection and threw it away. Then, for any item with a smell of popcorn, leather, or coconut in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 3 item(s) with chocolate smell, 10 item(s) with coffee smell, 3 item(s) with lavender smell, 4 item(s) with gasoline smell, 3 item(s) with popcorn smell, 2 item(s) with garlic smell, 4 item(s) with pine needles smell, 3 item(s) with citrus fruits smell, 2 item(s) with leather smell, 3 item(s) with rose smell, 1 item(s) with vinegar smell, 1 item(s) with vanilla smell, 1 item(s) with coconut smell. Then, for each item of size large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my new collection had: 8 item(s) made of glass, 8 item(s) made of plastic, 7 item(s) made of ceramic, 12 item(s) made of concrete, 5 item(s) made of steel. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: either color is ivory, or size is extra-extra-small, or material is plastic, or smell is citrus fruits, or origin is British? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:103", "request": "I had a collection of 50 weird items that went through a few changes. Initially, I had a medium Mexican ruler made of steel with a smell of pine needles, a large British bed made of concrete with a smell of chocolate, a medium Iranian flower pot made of plastic with a smell of burning wood, a large Russian calculator made of glass with a smell of vanilla, an extra-extra-large Canadian jar made of plastic with a smell of garlic, an extra-extra-large Chinese earring made of steel with a smell of lavender, an extra-extra-small Russian bag made of plastic with a smell of coconut, a medium German umbrella made of ceramic with a smell of wet dog, an extra-extra-small Turkish guitar made of concrete with a smell of wet dog, an extra-large Chinese pen made of ceramic with a smell of rose, an extra-extra-large Turkish brush made of ceramic with a smell of lavender, an extra-extra-small German camera made of plastic with a smell of pine needles, an extra-large Turkish ring made of glass with a smell of baking bread, an extra-small French canvas made of plastic with a smell of garlic, an extra-extra-large Italian speaker made of ceramic with a smell of garlic, an extra-extra-large Turkish flower pot made of steel with a smell of popcorn, an extra-large Japanese spoon made of steel with a smell of leather, an extra-extra-small Spanish speaker made of concrete with a smell of garlic, a large Polish ball made of concrete with a smell of garlic, a medium British wallet made of steel with a smell of baking bread, a large French speaker made of glass with a smell of vanilla, an extra-large French bowl made of ceramic with a smell of garlic, a medium Polish trash can made of plastic with a smell of rose, a small Russian jar made of ceramic with a smell of chocolate, an extra-extra-small Polish bag made of ceramic with a smell of chocolate, a small Chinese bed made of ceramic with a smell of baking bread, a small British stapler made of glass with a smell of citrus fruits, an extra-small Mexican vase made of plastic with a smell of coffee, an extra-large Russian candle made of steel with a smell of coconut, a large Mexican house made of plastic with a smell of burning wood, an extra-large Brazilian plate made of ceramic with a smell of leather, an extra-extra-large Afghan fork made of ceramic with a smell of rose, a small Mexican plate made of steel with a smell of baking bread, an extra-extra-small Polish ruler made of steel with a smell of vanilla, an extra-extra-large Brazilian piano made of plastic with a smell of freshly cut grass, a medium Spanish guitar made of ceramic with a smell of coffee, an extra-small Polish watch made of ceramic with a smell of coconut, an extra-extra-small French bag made of plastic with a smell of lavender, an extra-extra-large French hammer made of plastic with a smell of garlic, an extra-small Spanish bicycle made of concrete with a smell of chocolate, an extra-small Portuguese flower pot made of ceramic with a smell of chocolate, a large Afghan wrench made of steel with a smell of burning wood, an extra-large Chinese bowl made of ceramic with a smell of wet dog, an extra-extra-small British ball made of steel with a smell of lavender, an extra-small Canadian bird made of concrete with a smell of leather, an extra-extra-large Italian chair made of concrete with a smell of coconut, a large Canadian car made of concrete with a smell of lavender, an extra-large Japanese shirt made of glass with a smell of pine needles, a small Brazilian bowl made of steel with a smell of burning wood, an extra-extra-small Mexican bed made of concrete with a smell of popcorn. The color of the items was respectively as follows: the first 1 was beige, the next 4 were black, the next 5 were blue, the next 4 were brown, the next 1 was crimson, the next 2 were cyan, the next 1 was gold, the next 2 were gray, the next 3 were green, the next 1 was indigo, the next 3 were ivory, the next 5 were khaki, the next 2 were magenta, the next 1 was orange, the next 3 were pink, the next 2 were purple, the next 2 were red, the next 2 were silver, the next 1 was teal, the next 2 were violet, the next 2 were white, the next 1 was yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to garlic. After this, my new collection had: 2 black item(s), 3 blue item(s), 2 brown item(s), 1 crimson item(s), 2 cyan item(s), 1 gold item(s), 1 gray item(s), 2 green item(s), 3 ivory item(s), 12 khaki item(s), 1 pink item(s), 1 purple item(s), 2 red item(s), 1 silver item(s), 1 teal item(s), 2 violet item(s), 2 white item(s), 1 yellow item(s). Then, my uncle threw away any Spanish item in my new collection, but gave me two of the same item, one Russian and one French (all other properties the same). Then, for any item of color red in my new collection, my mom gave me another one of the same item, but with a yellow color, Turkish origin, small size, wet dog smell, and made of concrete. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: color is not pink, size is not extra-small, material is not glass, smell is not pine needles, and origin is not Canadian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:104", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had an extra-extra-small British bird made of ceramic with a smell of popcorn, an extra-extra-small French box made of glass with a smell of freshly cut grass, an extra-extra-large Canadian bottle made of plastic with a smell of chocolate, an extra-extra-small Afghan hammer made of steel with a smell of coffee, a medium British banana made of concrete with a smell of leather, a large Polish scissors made of glass with a smell of citrus fruits, a medium Chinese sofa made of ceramic with a smell of rose, an extra-extra-small French bicycle made of concrete with a smell of burning wood, an extra-extra-large German plate made of plastic with a smell of popcorn, an extra-large Brazilian marker made of concrete with a smell of wet dog, a medium Polish earring made of steel with a smell of rose, an extra-extra-small Iranian lamp made of glass with a smell of rose, a medium Turkish ball made of concrete with a smell of coconut, an extra-extra-small Portuguese fork made of glass with a smell of burning wood, an extra-extra-small Portuguese ruler made of plastic with a smell of freshly cut grass, an extra-small Mexican ring made of plastic with a smell of rose, an extra-large Turkish trash can made of plastic with a smell of vinegar, a medium Polish key made of ceramic with a smell of garlic, a large Russian bowl made of ceramic with a smell of gasoline, an extra-small Italian shoe made of ceramic with a smell of leather, an extra-large Iranian screwdriver made of ceramic with a smell of burning wood, an extra-extra-small French pen made of glass with a smell of baking bread, an extra-extra-small French wallet made of ceramic with a smell of chocolate, an extra-extra-small Italian car made of concrete with a smell of coconut, an extra-extra-small Chinese cup made of glass with a smell of popcorn, an extra-large Polish calculator made of concrete with a smell of freshly cut grass, an extra-extra-small Brazilian apple made of concrete with a smell of coconut, an extra-extra-small Iranian watch made of glass with a smell of lavender, an extra-extra-small Russian pencil made of ceramic with a smell of baking bread, an extra-large Portuguese plier made of concrete with a smell of popcorn, an extra-extra-small Chinese brush made of ceramic with a smell of wet dog, a small Mexican key made of concrete with a smell of gasoline, an extra-large Russian bicycle made of glass with a smell of gasoline. The color of the items was respectively as follows: the first 1 was beige, the next 3 were blue, the next 3 were crimson, the next 1 was cyan, the next 2 were gold, the next 1 was gray, the next 1 was green, the next 2 were indigo, the next 3 were khaki, the next 2 were magenta, the next 1 was maroon, the next 1 was orange, the next 2 were pink, the next 2 were silver, the next 1 was teal, the next 1 was turquoise, the next 3 were violet, the next 2 were white, the next 1 was yellow. Then, for any item of color gray in my collection, my mom gave me another one of the same item, but with a violet color, Polish origin, extra-large size, garlic smell, and made of ceramic. Then, for each item of size extra-extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my new collection had: 17 item(s) made of glass, 4 item(s) made of plastic, 6 item(s) made of concrete, 6 item(s) made of ceramic, 1 item(s) made of steel. Then, my brother replaced any item of size extra-extra-small in my new collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color red. After this, my new collection had: 22 extra-large item(s), 2 extra-extra-large item(s), 5 medium item(s), 2 large item(s), 2 extra-small item(s), 15 extra-extra-small item(s), 1 small item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 3 blue item(s), 3 crimson item(s), 1 cyan item(s), 2 gold item(s), 1 gray item(s), 1 green item(s), 2 indigo item(s), 3 khaki item(s), 1 maroon item(s), 1 orange item(s), 2 pink item(s), 15 red item(s), 2 silver item(s), 1 teal item(s), 1 turquoise item(s), 4 violet item(s), 2 white item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: either color is green, or size is extra-large, or material is plastic, or smell is coconut, or origin is Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:105", "request": "I had a collection of 48 weird items that went through a few changes. Initially, I had an extra-extra-large German pencil made of plastic with a smell of vanilla, an extra-small Chinese marker made of concrete with a smell of baking bread, an extra-extra-large Russian plate made of plastic with a smell of chocolate, an extra-extra-small Turkish spoon made of steel with a smell of vinegar, a small Brazilian pen made of ceramic with a smell of chocolate, an extra-large Polish hammer made of glass with a smell of chocolate, an extra-large Mexican watch made of steel with a smell of vinegar, a small Chinese shirt made of glass with a smell of gasoline, an extra-extra-large Italian bowl made of glass with a smell of lavender, an extra-extra-large British sofa made of glass with a smell of wet dog, an extra-large Mexican guitar made of plastic with a smell of popcorn, a medium Spanish bird made of concrete with a smell of pine needles, a large Japanese flower pot made of ceramic with a smell of vanilla, an extra-large Polish umbrella made of concrete with a smell of popcorn, an extra-small Chinese piano made of plastic with a smell of vanilla, an extra-large Italian banana made of ceramic with a smell of popcorn, a medium Afghan plate made of glass with a smell of coffee, a large Portuguese cup made of ceramic with a smell of citrus fruits, an extra-large French house made of concrete with a smell of coffee, an extra-extra-large Japanese candle made of ceramic with a smell of pine needles, a small Iranian stapler made of steel with a smell of pine needles, an extra-small Afghan hammer made of ceramic with a smell of vanilla, an extra-small Japanese camera made of ceramic with a smell of rose, a large Polish table made of plastic with a smell of gasoline, an extra-extra-large Turkish screwdriver made of ceramic with a smell of chocolate, a small Afghan camera made of concrete with a smell of leather, a large Mexican book made of plastic with a smell of popcorn, an extra-small Russian ring made of glass with a smell of pine needles, an extra-small Japanese dog made of concrete with a smell of chocolate, an extra-extra-large Polish plate made of plastic with a smell of coconut, an extra-extra-large British pen made of ceramic with a smell of freshly cut grass, an extra-small Afghan fork made of glass with a smell of baking bread, an extra-small Russian bag made of plastic with a smell of coffee, an extra-extra-small Japanese house made of plastic with a smell of wet dog, a large French shoe made of ceramic with a smell of citrus fruits, an extra-large Chinese chair made of glass with a smell of gasoline, a small Russian speaker made of steel with a smell of pine needles, a medium British umbrella made of steel with a smell of freshly cut grass, an extra-extra-small Chinese wrench made of ceramic with a smell of freshly cut grass, an extra-small German bicycle made of plastic with a smell of pine needles, a medium Mexican plier made of glass with a smell of baking bread, an extra-extra-small Iranian necklace made of glass with a smell of freshly cut grass, a large Portuguese cup made of ceramic with a smell of lavender, an extra-small Mexican scissors made of concrete with a smell of freshly cut grass, a medium German wrench made of steel with a smell of coffee, an extra-extra-small British plate made of glass with a smell of gasoline, an extra-extra-large Russian trash can made of plastic with a smell of vanilla, a large Canadian pen made of ceramic with a smell of freshly cut grass. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 1 was blue, the next 2 were brown, the next 6 were crimson, the next 1 was cyan, the next 2 were gold, the next 3 were gray, the next 2 were green, the next 4 were indigo, the next 2 were ivory, the next 6 were khaki, the next 1 was maroon, the next 1 was purple, the next 2 were red, the next 2 were silver, the next 1 was teal, the next 3 were violet, the next 1 was white, the next 4 were yellow. Then, for any item with a smell of coconut, garlic, or rose in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 5 item(s) with vanilla smell, 3 item(s) with baking bread smell, 5 item(s) with chocolate smell, 2 item(s) with vinegar smell, 4 item(s) with gasoline smell, 2 item(s) with lavender smell, 2 item(s) with wet dog smell, 4 item(s) with popcorn smell, 8 item(s) with pine needles smell, 4 item(s) with coffee smell, 2 item(s) with citrus fruits smell, 1 item(s) with rose smell, 1 item(s) with leather smell, 1 item(s) with coconut smell, 6 item(s) with freshly cut grass smell. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of lavender (all other properties the same). After this, my new collection had: 12 item(s) made of glass, 3 item(s) made of concrete, 7 item(s) made of ceramic, 9 item(s) made of plastic, 3 item(s) made of steel. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: color is not crimson, size is not extra-large, material is not plastic, smell is not freshly cut grass, and origin is not Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:107", "request": "I had a collection of 45 weird items that went through a few changes. Initially, I had a medium Turkish key made of plastic with a smell of citrus fruits, a medium Japanese candle made of concrete with a smell of burning wood, an extra-extra-large Russian piano made of ceramic with a smell of popcorn, a medium Japanese scissors made of steel with a smell of popcorn, an extra-small British jar made of glass with a smell of citrus fruits, a medium Italian fork made of steel with a smell of rose, a small German banana made of plastic with a smell of vinegar, a small Italian bottle made of glass with a smell of vanilla, a large Portuguese candle made of plastic with a smell of vanilla, a large Brazilian speaker made of steel with a smell of chocolate, an extra-extra-large Iranian cup made of plastic with a smell of popcorn, an extra-small Italian bowl made of concrete with a smell of rose, an extra-small German watch made of glass with a smell of chocolate, an extra-extra-small Spanish sunglasses made of concrete with a smell of leather, a small Japanese banana made of ceramic with a smell of leather, an extra-large Portuguese pen made of ceramic with a smell of popcorn, a medium Brazilian cup made of concrete with a smell of rose, a medium Brazilian hat made of ceramic with a smell of garlic, an extra-extra-large Polish drill made of plastic with a smell of coconut, a large Spanish ring made of glass with a smell of coffee, an extra-large German ball made of glass with a smell of pine needles, an extra-large Spanish bowl made of glass with a smell of gasoline, an extra-large Afghan necklace made of glass with a smell of coffee, a small Afghan bird made of concrete with a smell of burning wood, an extra-extra-large Russian car made of plastic with a smell of wet dog, an extra-extra-small French spoon made of ceramic with a smell of vinegar, an extra-extra-large German scissors made of glass with a smell of baking bread, an extra-large Chinese apple made of ceramic with a smell of pine needles, a large Canadian book made of glass with a smell of chocolate, a small Chinese marker made of glass with a smell of citrus fruits, a small Italian ball made of glass with a smell of pine needles, an extra-extra-small German earring made of plastic with a smell of wet dog, a small Turkish wrench made of glass with a smell of vanilla, an extra-extra-small Portuguese calculator made of plastic with a smell of leather, a large Canadian cup made of steel with a smell of chocolate, an extra-extra-small French umbrella made of concrete with a smell of citrus fruits, an extra-extra-large Iranian earring made of glass with a smell of citrus fruits, an extra-extra-small Chinese bird made of plastic with a smell of vinegar, a small Italian watch made of glass with a smell of vinegar, an extra-small Mexican umbrella made of plastic with a smell of chocolate, a medium Brazilian watch made of concrete with a smell of vanilla, an extra-small Turkish clock made of glass with a smell of gasoline, a large Iranian wallet made of steel with a smell of garlic, a medium Chinese clock made of glass with a smell of freshly cut grass, an extra-extra-small Brazilian marker made of concrete with a smell of burning wood. The color of the items was respectively as follows: the first 1 was beige, the next 3 were black, the next 1 was brown, the next 2 were cyan, the next 2 were gold, the next 2 were gray, the next 3 were green, the next 1 was indigo, the next 2 were ivory, the next 2 were khaki, the next 1 was magenta, the next 1 was maroon, the next 3 were orange, the next 2 were pink, the next 2 were purple, the next 5 were red, the next 2 were teal, the next 5 were turquoise, the next 1 was violet, the next 2 were white, the next 2 were yellow. Then, my friend took any item with a smell of vinegar, vanilla or rose in my collection and threw it away. Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to freshly cut grass. After this, my new collection had: 1 beige item(s), 3 black item(s), 13 crimson item(s), 2 gray item(s), 1 green item(s), 1 indigo item(s), 1 ivory item(s), 2 khaki item(s), 1 orange item(s), 1 pink item(s), 1 purple item(s), 1 red item(s), 2 teal item(s), 2 turquoise item(s), 1 white item(s), 1 yellow item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item of color green in my new collection, my mom gave me another one of the same item, but with a orange color, Chinese origin, small size, leather smell, and made of glass. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: color is not ivory, size is not extra-small, material is not glass, smell is not citrus fruits, and origin is not Italian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:108", "request": "I had a collection of 49 weird items that went through a few changes. Initially, I had an extra-large Mexican apple made of concrete with a smell of vanilla, a small Polish wallet made of steel with a smell of burning wood, a medium Italian plate made of plastic with a smell of chocolate, an extra-small Canadian ruler made of plastic with a smell of leather, an extra-extra-small French hat made of ceramic with a smell of rose, a small Portuguese bicycle made of concrete with a smell of pine needles, an extra-large Italian jar made of steel with a smell of coffee, a large Spanish marker made of steel with a smell of citrus fruits, an extra-large Japanese jar made of concrete with a smell of vinegar, a small Chinese earring made of ceramic with a smell of lavender, a medium Canadian bed made of ceramic with a smell of coconut, an extra-large Japanese jar made of ceramic with a smell of chocolate, an extra-large Canadian wallet made of steel with a smell of vinegar, a small Spanish sofa made of glass with a smell of leather, an extra-extra-large Portuguese stapler made of glass with a smell of rose, a large Italian saw made of plastic with a smell of garlic, an extra-extra-large Polish sunglasses made of ceramic with a smell of leather, an extra-extra-large Afghan calculator made of glass with a smell of leather, a large Mexican box made of plastic with a smell of burning wood, an extra-large German calculator made of ceramic with a smell of wet dog, a large Brazilian book made of concrete with a smell of wet dog, an extra-large Italian candle made of glass with a smell of citrus fruits, a small Spanish jar made of ceramic with a smell of lavender, a medium Japanese shoe made of ceramic with a smell of coconut, a large Polish shirt made of steel with a smell of freshly cut grass, an extra-small Canadian car made of plastic with a smell of burning wood, an extra-extra-small Italian wallet made of plastic with a smell of gasoline, a large Brazilian spoon made of steel with a smell of lavender, an extra-extra-small Japanese house made of ceramic with a smell of freshly cut grass, a large Portuguese lamp made of concrete with a smell of gasoline, an extra-large British table made of glass with a smell of rose, an extra-large Russian dog made of concrete with a smell of wet dog, a medium Japanese wrench made of plastic with a smell of wet dog, a small Afghan bowl made of ceramic with a smell of popcorn, a large German bird made of glass with a smell of vanilla, a medium Mexican bowl made of ceramic with a smell of chocolate, a large Japanese lamp made of glass with a smell of gasoline, a small Canadian spoon made of steel with a smell of leather, an extra-extra-small Mexican bowl made of plastic with a smell of citrus fruits, an extra-extra-large Japanese ring made of concrete with a smell of popcorn, an extra-extra-small Portuguese stapler made of plastic with a smell of freshly cut grass, an extra-extra-small French sofa made of plastic with a smell of freshly cut grass, an extra-large Italian cup made of glass with a smell of lavender, an extra-extra-small British clock made of steel with a smell of popcorn, an extra-extra-large Afghan scissors made of plastic with a smell of burning wood, a large Portuguese sofa made of glass with a smell of burning wood, a medium Turkish bag made of concrete with a smell of chocolate, an extra-large Chinese bowl made of plastic with a smell of baking bread, an extra-extra-large Mexican scissors made of steel with a smell of chocolate. The color of the items was respectively as follows: the first 3 were beige, the next 1 was black, the next 5 were blue, the next 1 was brown, the next 2 were crimson, the next 1 was cyan, the next 3 were gold, the next 2 were gray, the next 4 were green, the next 1 was indigo, the next 3 were ivory, the next 3 were khaki, the next 1 was magenta, the next 1 was maroon, the next 2 were orange, the next 2 were purple, the next 1 was silver, the next 4 were teal, the next 2 were violet, the next 4 were white, the next 3 were yellow. Then, for each item of size extra-extra-small in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of freshly cut grass (all other properties the same). After this, my collection had: 8 item(s) made of concrete, 15 item(s) made of steel, 8 item(s) made of plastic, 9 item(s) made of ceramic, 9 item(s) made of glass. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item of color blue in my new collection, my mom gave me another one of the same item, but with a maroon color, Italian origin, small size, vanilla smell, and made of plastic. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 3 beige item(s), 1 black item(s), 3 blue item(s), 1 brown item(s), 1 crimson item(s), 1 cyan item(s), 2 gold item(s), 1 gray item(s), 3 ivory item(s), 2 khaki item(s), 4 maroon item(s), 2 orange item(s), 1 purple item(s), 1 teal item(s), 1 violet item(s), 3 white item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: either color is beige, or size is extra-large, or material is concrete, or smell is popcorn, or origin is Mexican? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:114", "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had an extra-small Russian brush made of ceramic with a smell of vinegar, an extra-large Chinese pencil made of glass with a smell of wet dog, an extra-extra-small Polish screwdriver made of steel with a smell of burning wood, an extra-large Spanish banana made of ceramic with a smell of popcorn, an extra-small Polish house made of concrete with a smell of lavender, an extra-small Iranian box made of steel with a smell of wet dog, an extra-small Portuguese shoe made of plastic with a smell of citrus fruits, a medium Iranian trash can made of steel with a smell of wet dog, a large Japanese book made of steel with a smell of vinegar, an extra-extra-small Japanese shirt made of glass with a smell of burning wood, a medium French lamp made of ceramic with a smell of coconut, an extra-small Italian earring made of steel with a smell of burning wood, an extra-large Brazilian watch made of ceramic with a smell of baking bread, an extra-large Canadian spoon made of steel with a smell of popcorn, an extra-extra-small Afghan flower pot made of steel with a smell of gasoline, an extra-extra-large Turkish brush made of plastic with a smell of wet dog, a medium French wallet made of glass with a smell of citrus fruits, an extra-extra-large Italian house made of concrete with a smell of lavender, an extra-extra-small Italian bird made of steel with a smell of baking bread, a medium Polish banana made of concrete with a smell of coconut, an extra-extra-small Japanese candle made of plastic with a smell of baking bread, an extra-small Italian plate made of steel with a smell of burning wood, a medium Afghan calculator made of concrete with a smell of pine needles, a large Russian banana made of plastic with a smell of popcorn, a medium French candle made of plastic with a smell of pine needles, a small Turkish fork made of concrete with a smell of burning wood, a medium German clock made of concrete with a smell of coffee, an extra-extra-small Canadian ruler made of glass with a smell of rose, an extra-extra-small Italian earring made of concrete with a smell of freshly cut grass, an extra-large Brazilian lamp made of ceramic with a smell of citrus fruits, an extra-extra-small Russian banana made of glass with a smell of wet dog, an extra-small Polish bag made of ceramic with a smell of vanilla, an extra-small Italian key made of plastic with a smell of garlic, an extra-extra-small Canadian camera made of plastic with a smell of rose, an extra-extra-small Chinese piano made of concrete with a smell of leather, an extra-extra-large Afghan jar made of concrete with a smell of vanilla, an extra-small Turkish candle made of concrete with a smell of leather, an extra-large Iranian guitar made of concrete with a smell of vinegar. The color of the items was respectively as follows: the first 2 were beige, the next 3 were blue, the next 3 were cyan, the next 2 were gold, the next 2 were green, the next 1 was indigo, the next 3 were ivory, the next 3 were khaki, the next 3 were magenta, the next 2 were maroon, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 3 were red, the next 2 were silver, the next 2 were teal, the next 2 were violet, the next 2 were white. Then, for any item with a smell of garlic, lavender, or citrus fruits in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 9 item(s) with vinegar smell, 5 item(s) with wet dog smell, 5 item(s) with burning wood smell, 3 item(s) with popcorn smell, 2 item(s) with lavender smell, 3 item(s) with citrus fruits smell, 2 item(s) with coconut smell, 3 item(s) with baking bread smell, 1 item(s) with gasoline smell, 2 item(s) with pine needles smell, 1 item(s) with coffee smell, 2 item(s) with rose smell, 1 item(s) with freshly cut grass smell, 2 item(s) with vanilla smell, 1 item(s) with garlic smell, 2 item(s) with leather smell. Then, for any item of color teal in my new collection, my mom gave me another one of the same item, but with a ivory color, Polish origin, extra-large size, garlic smell, and made of concrete. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to rose. After this, my new collection had: 1 beige item(s), 1 blue item(s), 2 cyan item(s), 2 gold item(s), 1 green item(s), 1 indigo item(s), 2 ivory item(s), 1 khaki item(s), 1 magenta item(s), 1 maroon item(s), 2 orange item(s), 1 pink item(s), 1 purple item(s), 3 red item(s), 1 silver item(s), 2 violet item(s), 2 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: either color is blue, or size is extra-large, or material is glass, or smell is vinegar, or origin is Canadian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:115", "request": "I had a collection of 39 weird items that went through a few changes. Initially, I had an extra-small Italian clock made of glass with a smell of lavender, an extra-extra-small Japanese scissors made of plastic with a smell of leather, an extra-small French sofa made of glass with a smell of popcorn, an extra-large Brazilian sofa made of steel with a smell of coconut, an extra-extra-small Turkish drill made of steel with a smell of gasoline, an extra-extra-large Mexican marker made of glass with a smell of coconut, a medium Afghan screwdriver made of concrete with a smell of freshly cut grass, a small German lamp made of glass with a smell of coffee, an extra-extra-small Spanish screwdriver made of ceramic with a smell of vanilla, a small Chinese calculator made of concrete with a smell of gasoline, an extra-large Afghan knife made of steel with a smell of gasoline, a medium Spanish marker made of plastic with a smell of gasoline, a large German ring made of concrete with a smell of coffee, an extra-small Japanese shirt made of concrete with a smell of wet dog, a small French box made of concrete with a smell of pine needles, a large Mexican stapler made of plastic with a smell of garlic, an extra-extra-small Portuguese fork made of plastic with a smell of citrus fruits, a large Iranian sofa made of glass with a smell of chocolate, an extra-large French pencil made of plastic with a smell of lavender, an extra-extra-large Turkish ruler made of glass with a smell of garlic, a large Japanese stapler made of ceramic with a smell of freshly cut grass, an extra-large Brazilian bottle made of concrete with a smell of lavender, an extra-large Spanish candle made of concrete with a smell of freshly cut grass, an extra-small Brazilian calculator made of plastic with a smell of popcorn, a medium Mexican earring made of concrete with a smell of garlic, an extra-small Brazilian ball made of glass with a smell of gasoline, an extra-large Iranian hammer made of concrete with a smell of coconut, a small Mexican shirt made of concrete with a smell of popcorn, a medium German hammer made of steel with a smell of leather, a medium Russian car made of steel with a smell of chocolate, a medium Brazilian earring made of concrete with a smell of lavender, an extra-large Afghan shirt made of concrete with a smell of freshly cut grass, a large Canadian screwdriver made of steel with a smell of vanilla, an extra-extra-small Russian plier made of plastic with a smell of vanilla, an extra-extra-small Canadian pen made of ceramic with a smell of burning wood, an extra-extra-small Brazilian wallet made of plastic with a smell of wet dog, a small French bed made of plastic with a smell of pine needles, an extra-small Japanese vase made of ceramic with a smell of vinegar, an extra-large Japanese knife made of steel with a smell of freshly cut grass. The color of the items was respectively as follows: the first 3 were beige, the next 2 were black, the next 1 was blue, the next 2 were brown, the next 2 were crimson, the next 2 were cyan, the next 3 were gold, the next 2 were gray, the next 1 was green, the next 2 were indigo, the next 1 was ivory, the next 3 were khaki, the next 1 was magenta, the next 2 were orange, the next 1 was pink, the next 1 was purple, the next 1 was red, the next 2 were silver, the next 2 were turquoise, the next 4 were violet, the next 1 was yellow. Then, my uncle threw away any Mexican item in my collection, but gave me two of the same item, one Portuguese and one Canadian (all other properties the same). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 3 beige item(s), 2 black item(s), 2 blue item(s), 2 brown item(s), 2 crimson item(s), 2 cyan item(s), 3 gold item(s), 3 gray item(s), 1 green item(s), 2 indigo item(s), 1 ivory item(s), 2 magenta item(s), 2 orange item(s), 2 pink item(s), 1 purple item(s), 1 red item(s), 2 silver item(s), 2 turquoise item(s), 4 violet item(s), 1 yellow item(s). Then, for any item of color turquoise in my new collection, my mom gave me another one of the same item, but with a beige color, Italian origin, extra-extra-large size, wet dog smell, and made of glass. Then, my brother replaced any item of size extra-extra-large in my new collection with an exact copy but with one specific size (different from extra-extra-large) and another exact copy but with color yellow. After this, my new collection had: 5 extra-small item(s), 7 extra-extra-small item(s), 11 large item(s), 6 extra-large item(s), 7 medium item(s), 6 small item(s), 5 extra-extra-large item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: color is not orange, size is not large, material is not plastic, smell is not garlic, and origin is not Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:118", "request": "I had a collection of 46 weird items that went through a few changes. Initially, I had a medium Spanish ring made of concrete with a smell of leather, an extra-extra-small Chinese vase made of glass with a smell of burning wood, a small Polish bed made of ceramic with a smell of vinegar, a small Mexican watch made of plastic with a smell of vinegar, a large British wrench made of steel with a smell of pine needles, an extra-extra-small Spanish canvas made of steel with a smell of vanilla, an extra-large Polish piano made of ceramic with a smell of vanilla, a medium Russian bicycle made of steel with a smell of pine needles, an extra-small British dog made of plastic with a smell of gasoline, a large Iranian marker made of steel with a smell of vanilla, a small French bird made of plastic with a smell of citrus fruits, a medium Chinese trash can made of concrete with a smell of burning wood, a small Canadian watch made of glass with a smell of rose, an extra-large Chinese banana made of ceramic with a smell of popcorn, a medium Portuguese scissors made of steel with a smell of rose, an extra-extra-small French sofa made of glass with a smell of rose, an extra-extra-small Portuguese knife made of steel with a smell of rose, an extra-small Turkish dog made of plastic with a smell of wet dog, a large Polish jar made of ceramic with a smell of gasoline, an extra-extra-large Portuguese bed made of glass with a smell of freshly cut grass, an extra-large French bicycle made of glass with a smell of wet dog, an extra-large Iranian house made of ceramic with a smell of coffee, an extra-large Chinese marker made of ceramic with a smell of freshly cut grass, an extra-small Canadian ball made of steel with a smell of rose, a large Iranian spoon made of steel with a smell of garlic, an extra-large Spanish vase made of steel with a smell of wet dog, an extra-large Iranian canvas made of plastic with a smell of lavender, an extra-small Brazilian dog made of steel with a smell of baking bread, a medium Russian brush made of steel with a smell of wet dog, a large British stapler made of concrete with a smell of rose, an extra-small Afghan bird made of ceramic with a smell of freshly cut grass, a small Chinese pencil made of concrete with a smell of gasoline, a large German candle made of plastic with a smell of lavender, an extra-extra-large French pencil made of glass with a smell of rose, a large Russian candle made of glass with a smell of coconut, an extra-large Canadian flower pot made of ceramic with a smell of coconut, a small German chair made of glass with a smell of pine needles, an extra-extra-large Russian bag made of steel with a smell of vinegar, a large British sofa made of concrete with a smell of wet dog, an extra-large Afghan trash can made of ceramic with a smell of vanilla, a medium Russian candle made of concrete with a smell of freshly cut grass, a medium Japanese car made of concrete with a smell of baking bread, a small Canadian fork made of ceramic with a smell of garlic, an extra-large French wallet made of steel with a smell of lavender, an extra-large French ball made of ceramic with a smell of citrus fruits, an extra-large Russian watch made of steel with a smell of coffee. The color of the items was respectively as follows: the first 4 were beige, the next 3 were black, the next 3 were blue, the next 4 were brown, the next 5 were crimson, the next 2 were cyan, the next 2 were gray, the next 1 was green, the next 2 were ivory, the next 1 was khaki, the next 2 were magenta, the next 3 were maroon, the next 2 were orange, the next 1 was pink, the next 1 was purple, the next 2 were red, the next 2 were teal, the next 2 were turquoise, the next 1 was violet, the next 3 were white. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for each item of size extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my new collection had: 7 item(s) made of steel, 4 item(s) made of glass, 10 item(s) made of ceramic, 3 item(s) made of concrete. Then, my uncle threw away any Brazilian item in my new collection, but gave me two of the same item, one Polish and one British (all other properties the same). Then, my brother replaced any item of size small in my new collection with an exact copy but with one specific size (different from small) and another exact copy but with color brown. After this, my new collection had: 2 small item(s), 3 medium item(s), 2 extra-extra-small item(s), 5 extra-small item(s), 6 large item(s), 2 extra-extra-large item(s), 7 extra-large item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is ivory, or size is medium, or material is ceramic, or smell is gasoline, or origin is French? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:120", "request": "I had a collection of 31 weird items that went through a few changes. Initially, I had a small Iranian sunglasses made of concrete with a smell of coconut, an extra-extra-large Mexican brush made of plastic with a smell of freshly cut grass, a medium Mexican plier made of plastic with a smell of citrus fruits, a large Japanese sofa made of steel with a smell of baking bread, a large Japanese stapler made of plastic with a smell of popcorn, an extra-extra-small Brazilian drill made of plastic with a smell of chocolate, a large Brazilian jar made of glass with a smell of rose, an extra-extra-small German scissors made of glass with a smell of wet dog, an extra-small Brazilian bottle made of concrete with a smell of vanilla, an extra-small Spanish pen made of ceramic with a smell of pine needles, a large Spanish piano made of concrete with a smell of chocolate, an extra-extra-large French calculator made of concrete with a smell of vanilla, a small Iranian hat made of concrete with a smell of coconut, an extra-extra-large Spanish knife made of plastic with a smell of rose, a large Afghan necklace made of concrete with a smell of popcorn, a small Chinese marker made of plastic with a smell of burning wood, an extra-extra-small Iranian marker made of plastic with a smell of rose, a large Italian hammer made of plastic with a smell of burning wood, a small Afghan speaker made of glass with a smell of vanilla, an extra-extra-large Japanese hat made of ceramic with a smell of freshly cut grass, an extra-large Chinese marker made of glass with a smell of citrus fruits, a medium Portuguese ring made of glass with a smell of gasoline, an extra-extra-large Afghan umbrella made of plastic with a smell of vinegar, an extra-large Mexican screwdriver made of steel with a smell of wet dog, an extra-extra-small Iranian marker made of steel with a smell of wet dog, a small Russian brush made of concrete with a smell of vinegar, a small Iranian house made of ceramic with a smell of coffee, an extra-large Mexican calculator made of ceramic with a smell of chocolate, an extra-extra-small French speaker made of ceramic with a smell of citrus fruits, a medium Polish pen made of steel with a smell of vanilla, an extra-large Iranian umbrella made of concrete with a smell of garlic. The color of the items was respectively as follows: the first 1 was beige, the next 3 were blue, the next 1 was brown, the next 2 were crimson, the next 3 were cyan, the next 2 were gold, the next 1 was green, the next 1 was ivory, the next 1 was khaki, the next 1 was magenta, the next 2 were maroon, the next 2 were orange, the next 2 were purple, the next 3 were red, the next 2 were silver, the next 2 were turquoise, the next 1 was violet, the next 1 was yellow. Then, my uncle threw away any Russian item in my collection, but gave me two of the same item, one German and one Portuguese (all other properties the same). Then, my friend took any item with a smell of coconut, gasoline or lavender in my new collection and threw it away. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: either color is khaki, or size is extra-extra-large, or material is plastic, or smell is coffee, or origin is German? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:122", "request": "I had a collection of 40 weird items that went through a few changes. Initially, I had an extra-extra-large German screwdriver made of ceramic with a smell of vinegar, a large Canadian speaker made of concrete with a smell of garlic, a large Spanish flower pot made of ceramic with a smell of baking bread, an extra-small French ruler made of steel with a smell of leather, an extra-extra-small Canadian saw made of glass with a smell of chocolate, an extra-small Turkish bird made of concrete with a smell of coffee, a medium Iranian necklace made of concrete with a smell of lavender, a medium Mexican shirt made of glass with a smell of coffee, a large Portuguese flower pot made of concrete with a smell of gasoline, an extra-extra-large Canadian pen made of steel with a smell of popcorn, an extra-large Polish spoon made of ceramic with a smell of coffee, an extra-extra-small German cup made of ceramic with a smell of citrus fruits, a medium German bed made of ceramic with a smell of gasoline, a large Portuguese apple made of steel with a smell of citrus fruits, a small Mexican spoon made of steel with a smell of chocolate, an extra-small Iranian trash can made of ceramic with a smell of wet dog, an extra-extra-large Canadian knife made of steel with a smell of garlic, a small Chinese sofa made of concrete with a smell of lavender, an extra-extra-small Polish bowl made of glass with a smell of wet dog, a large Polish clock made of glass with a smell of garlic, a large German knife made of plastic with a smell of lavender, an extra-extra-large Turkish bowl made of steel with a smell of burning wood, an extra-large Italian pencil made of steel with a smell of coconut, an extra-extra-small Afghan sofa made of glass with a smell of baking bread, an extra-extra-small Japanese stapler made of ceramic with a smell of pine needles, an extra-extra-large Canadian pen made of steel with a smell of gasoline, an extra-extra-small Chinese flower pot made of ceramic with a smell of garlic, an extra-extra-small Polish guitar made of concrete with a smell of rose, a medium Chinese key made of plastic with a smell of popcorn, an extra-extra-small Spanish trash can made of steel with a smell of popcorn, an extra-small Canadian plier made of plastic with a smell of vanilla, an extra-extra-large Russian banana made of ceramic with a smell of rose, an extra-extra-large Brazilian marker made of glass with a smell of rose, an extra-extra-large Polish sunglasses made of plastic with a smell of vanilla, an extra-small Spanish shoe made of ceramic with a smell of citrus fruits, a small German vase made of ceramic with a smell of coconut, an extra-extra-large Polish bicycle made of ceramic with a smell of coconut, an extra-extra-large Italian ball made of plastic with a smell of pine needles, an extra-extra-large Afghan hat made of plastic with a smell of garlic, a large Italian trash can made of plastic with a smell of coconut. The color of the items was respectively as follows: the first 2 were beige, the next 4 were black, the next 2 were blue, the next 1 was brown, the next 1 was crimson, the next 2 were gold, the next 4 were green, the next 2 were indigo, the next 1 was ivory, the next 2 were khaki, the next 1 was magenta, the next 2 were maroon, the next 2 were orange, the next 2 were purple, the next 1 was red, the next 1 was silver, the next 2 were teal, the next 2 were turquoise, the next 1 was violet, the next 2 were white, the next 3 were yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my brother replaced any item of size extra-extra-small in my new collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color orange. After this, my new collection had: 7 extra-extra-large item(s), 6 large item(s), 5 extra-small item(s), 7 extra-large item(s), 4 medium item(s), 6 extra-extra-small item(s), 1 small item(s). Then, for each item of size extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of vinegar (all other properties the same). After this, my new collection had: 17 item(s) made of ceramic, 5 item(s) made of concrete, 5 item(s) made of glass, 4 item(s) made of steel, 5 item(s) made of plastic. Then, for any item of color green in my new collection, my mom gave me another one of the same item, but with a beige color, Chinese origin, large size, gasoline smell, and made of steel. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: either color is teal, or size is extra-large, or material is concrete, or smell is gasoline, or origin is Japanese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:125", "request": "I had a collection of 32 weird items that went through a few changes. Initially, I had a large Mexican drill made of glass with a smell of vinegar, a medium Mexican watch made of plastic with a smell of coconut, a medium Portuguese car made of plastic with a smell of gasoline, a large Japanese drill made of steel with a smell of coconut, an extra-large Afghan plier made of concrete with a smell of pine needles, an extra-extra-large German guitar made of steel with a smell of chocolate, a large Portuguese calculator made of steel with a smell of vanilla, a large Mexican pen made of glass with a smell of wet dog, an extra-extra-small Iranian bed made of plastic with a smell of pine needles, an extra-large Polish speaker made of ceramic with a smell of wet dog, an extra-small German calculator made of concrete with a smell of lavender, an extra-extra-small Canadian key made of glass with a smell of baking bread, a large Iranian ring made of ceramic with a smell of wet dog, a large British trash can made of plastic with a smell of freshly cut grass, an extra-large Afghan guitar made of plastic with a smell of freshly cut grass, an extra-extra-large Mexican apple made of ceramic with a smell of baking bread, a small Portuguese key made of steel with a smell of burning wood, a medium Spanish car made of glass with a smell of pine needles, an extra-extra-small Chinese box made of concrete with a smell of coffee, a large German sofa made of plastic with a smell of rose, an extra-large British bird made of concrete with a smell of lavender, a small Chinese fork made of plastic with a smell of chocolate, an extra-small Spanish knife made of steel with a smell of vanilla, an extra-extra-large Japanese stapler made of glass with a smell of vanilla, a large Italian table made of glass with a smell of rose, a large Canadian lamp made of glass with a smell of chocolate, an extra-small Italian plate made of concrete with a smell of wet dog, a large French flower pot made of steel with a smell of popcorn, an extra-extra-small Afghan hat made of glass with a smell of garlic, an extra-large Afghan brush made of concrete with a smell of coconut, an extra-small Russian bowl made of ceramic with a smell of leather, an extra-extra-small Brazilian drill made of glass with a smell of burning wood. The color of the items was respectively as follows: the first 1 was beige, the next 3 were black, the next 6 were blue, the next 1 was brown, the next 1 was crimson, the next 2 were gold, the next 3 were green, the next 1 was khaki, the next 1 was magenta, the next 2 were maroon, the next 4 were orange, the next 1 was pink, the next 1 was purple, the next 2 were red, the next 2 were silver, the next 1 was turquoise. Then, for any item of color orange in my collection, my mom gave me another one of the same item, but with a magenta color, German origin, extra-extra-small size, pine needles smell, and made of plastic. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 beige item(s), 6 blue item(s), 1 brown item(s), 1 crimson item(s), 2 gold item(s), 3 green item(s), 1 khaki item(s), 5 magenta item(s), 2 maroon item(s), 4 orange item(s), 1 pink item(s), 1 purple item(s), 2 red item(s), 2 silver item(s), 1 turquoise item(s). Then, my friend took any item with a smell of vanilla, rose or vinegar in my new collection and threw it away. Then, for each item of size small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my new collection had: 8 item(s) made of concrete, 2 item(s) made of steel, 6 item(s) made of glass, 7 item(s) made of plastic, 4 item(s) made of ceramic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: color is not gold, size is not extra-large, material is not steel, smell is not coffee, and origin is not Italian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:126", "request": "I had a collection of 41 weird items that went through a few changes. Initially, I had an extra-extra-large Spanish calculator made of glass with a smell of lavender, a medium French ball made of concrete with a smell of lavender, an extra-small Chinese dog made of concrete with a smell of leather, an extra-extra-large Russian drill made of concrete with a smell of vanilla, an extra-small Turkish camera made of steel with a smell of baking bread, an extra-small Afghan bird made of plastic with a smell of pine needles, a small Italian guitar made of plastic with a smell of gasoline, an extra-large French flower pot made of plastic with a smell of rose, a small Iranian brush made of plastic with a smell of vanilla, an extra-large Italian marker made of ceramic with a smell of coffee, an extra-small Portuguese bag made of steel with a smell of chocolate, an extra-large Russian plier made of ceramic with a smell of rose, a large Portuguese shoe made of concrete with a smell of chocolate, an extra-extra-small Afghan canvas made of steel with a smell of vanilla, an extra-large Spanish trash can made of ceramic with a smell of lavender, an extra-extra-small Portuguese box made of glass with a smell of garlic, an extra-small Polish cup made of ceramic with a smell of leather, an extra-extra-small Brazilian saw made of concrete with a smell of garlic, an extra-extra-small Canadian hat made of glass with a smell of lavender, a large Spanish piano made of glass with a smell of gasoline, an extra-small German watch made of plastic with a smell of garlic, a small Afghan guitar made of glass with a smell of lavender, a large Iranian sofa made of steel with a smell of rose, a large Polish pen made of steel with a smell of chocolate, a small Russian shirt made of concrete with a smell of lavender, an extra-extra-large Portuguese plier made of glass with a smell of rose, a medium German bowl made of steel with a smell of chocolate, a small Italian plate made of glass with a smell of leather, an extra-large Mexican pencil made of ceramic with a smell of popcorn, an extra-large Portuguese scissors made of glass with a smell of rose, an extra-large Chinese canvas made of plastic with a smell of rose, an extra-small Afghan saw made of steel with a smell of citrus fruits, an extra-small Russian bag made of ceramic with a smell of leather, an extra-small Turkish table made of plastic with a smell of baking bread, an extra-large Chinese bed made of steel with a smell of citrus fruits, an extra-extra-small French cup made of steel with a smell of rose, a medium Canadian flower pot made of plastic with a smell of gasoline, an extra-extra-large British pen made of plastic with a smell of wet dog, a large Spanish chair made of concrete with a smell of chocolate, a small Mexican plier made of steel with a smell of rose, an extra-large Italian earring made of steel with a smell of wet dog. The color of the items was respectively as follows: the first 2 were beige, the next 3 were black, the next 1 was blue, the next 4 were brown, the next 1 was crimson, the next 4 were cyan, the next 1 was gray, the next 2 were green, the next 4 were ivory, the next 4 were magenta, the next 1 was maroon, the next 1 was orange, the next 2 were purple, the next 3 were red, the next 1 was silver, the next 1 was teal, the next 2 were violet, the next 1 was white, the next 3 were yellow. Then, for any item made of ceramic in my collection, my sister changed their color to her favorite color and changed their smell to leather. After this, my collection had: 2 beige item(s), 3 black item(s), 7 blue item(s), 3 brown item(s), 1 crimson item(s), 2 cyan item(s), 1 gray item(s), 1 green item(s), 4 ivory item(s), 4 magenta item(s), 1 maroon item(s), 1 orange item(s), 1 purple item(s), 2 red item(s), 1 silver item(s), 1 teal item(s), 2 violet item(s), 1 white item(s), 3 yellow item(s). Then, my brother replaced any item of size extra-large in my new collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color indigo. After this, my new collection had: 13 extra-extra-large item(s), 3 medium item(s), 9 extra-small item(s), 6 small item(s), 5 large item(s), 5 extra-extra-small item(s), 9 extra-large item(s). Then, my friend took any item with a smell of gasoline, baking bread or freshly cut grass in my new collection and threw it away. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is violet, or size is medium, or material is plastic, or smell is wet dog, or origin is Russian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:130", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had an extra-small Polish candle made of plastic with a smell of citrus fruits, a large Afghan hat made of concrete with a smell of leather, an extra-extra-large British guitar made of concrete with a smell of baking bread, an extra-extra-small Russian hammer made of plastic with a smell of freshly cut grass, a small British banana made of ceramic with a smell of vinegar, a medium Spanish ruler made of glass with a smell of citrus fruits, a medium German cup made of concrete with a smell of coffee, an extra-extra-small Turkish plier made of plastic with a smell of pine needles, a medium French ball made of plastic with a smell of freshly cut grass, an extra-small Iranian guitar made of concrete with a smell of pine needles, an extra-extra-large Brazilian canvas made of ceramic with a smell of burning wood, an extra-extra-large German marker made of ceramic with a smell of popcorn, an extra-large Afghan hat made of plastic with a smell of popcorn, an extra-extra-small Spanish screwdriver made of steel with a smell of rose, a small Italian ring made of plastic with a smell of vanilla, an extra-extra-small Afghan apple made of ceramic with a smell of coconut, an extra-extra-large Italian pen made of steel with a smell of vanilla, a large French shoe made of steel with a smell of citrus fruits, an extra-small Afghan wallet made of glass with a smell of vanilla, an extra-extra-large Italian vase made of concrete with a smell of leather, an extra-small German bottle made of concrete with a smell of vinegar, a small Italian piano made of ceramic with a smell of citrus fruits, an extra-small Italian key made of glass with a smell of vinegar, an extra-extra-large Afghan jar made of concrete with a smell of wet dog, an extra-extra-small French scissors made of glass with a smell of leather, an extra-extra-small Japanese stapler made of glass with a smell of vinegar, a medium Afghan house made of plastic with a smell of gasoline, an extra-large German apple made of glass with a smell of vinegar, a medium French fork made of ceramic with a smell of wet dog, an extra-extra-large German sofa made of plastic with a smell of coconut, a medium Russian speaker made of plastic with a smell of coffee, an extra-large Japanese chair made of ceramic with a smell of burning wood, an extra-extra-small Canadian piano made of plastic with a smell of vanilla. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 2 were blue, the next 1 was brown, the next 2 were crimson, the next 1 was cyan, the next 2 were gold, the next 1 was gray, the next 2 were green, the next 2 were ivory, the next 2 were khaki, the next 2 were magenta, the next 2 were maroon, the next 1 was orange, the next 3 were pink, the next 1 was red, the next 3 were silver, the next 2 were white, the next 2 were yellow. Then, for each item of size extra-large in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of citrus fruits (all other properties the same). After this, my collection had: 9 item(s) made of plastic, 10 item(s) made of concrete, 6 item(s) made of ceramic, 5 item(s) made of glass, 3 item(s) made of steel. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my uncle threw away any Afghan item in my new collection, but gave me two of the same item, one German and one Russian (all other properties the same). Then, my brother replaced any item of size small in my new collection with an exact copy but with one specific size (different from small) and another exact copy but with color indigo. After this, my new collection had: 5 extra-small item(s), 5 extra-extra-small item(s), 3 large item(s), 7 medium item(s), 7 extra-extra-large item(s), 2 small item(s), 1 extra-large item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: either color is brown, or size is extra-extra-small, or material is plastic, or smell is vinegar, or origin is British? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:131", "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had an extra-large Iranian necklace made of glass with a smell of freshly cut grass, a medium Mexican house made of concrete with a smell of wet dog, an extra-extra-small Mexican bed made of glass with a smell of vanilla, an extra-extra-small Spanish hammer made of steel with a smell of coconut, an extra-small Iranian shoe made of concrete with a smell of coffee, an extra-extra-large Afghan drill made of plastic with a smell of vanilla, an extra-extra-large Mexican hammer made of glass with a smell of leather, an extra-extra-small Spanish screwdriver made of ceramic with a smell of rose, a small Brazilian shoe made of ceramic with a smell of chocolate, a small Brazilian bicycle made of ceramic with a smell of garlic, an extra-large Mexican saw made of steel with a smell of burning wood, an extra-extra-large Turkish hat made of concrete with a smell of coconut, an extra-small Turkish candle made of glass with a smell of vanilla, a large British bed made of ceramic with a smell of pine needles, an extra-extra-small Japanese screwdriver made of glass with a smell of popcorn, a small Brazilian knife made of steel with a smell of vanilla, a large Afghan ball made of glass with a smell of pine needles, an extra-small Russian key made of ceramic with a smell of garlic, an extra-large Russian spoon made of steel with a smell of citrus fruits, an extra-large Afghan scissors made of glass with a smell of lavender, an extra-small British bag made of concrete with a smell of coffee, a medium German book made of concrete with a smell of leather, an extra-extra-small Turkish calculator made of concrete with a smell of citrus fruits, a medium French watch made of steel with a smell of lavender, a medium Brazilian plate made of glass with a smell of garlic, a small Russian spoon made of steel with a smell of rose, a medium Turkish speaker made of steel with a smell of citrus fruits, a medium Mexican wrench made of ceramic with a smell of pine needles, an extra-large Italian bag made of ceramic with a smell of gasoline, an extra-large Mexican guitar made of plastic with a smell of pine needles, an extra-extra-small Iranian house made of concrete with a smell of rose, an extra-extra-small British marker made of ceramic with a smell of lavender, an extra-small Spanish canvas made of glass with a smell of vinegar, a small Afghan bird made of steel with a smell of coconut, a large German bed made of glass with a smell of leather, an extra-large Canadian bag made of plastic with a smell of coffee, an extra-extra-small Chinese stapler made of concrete with a smell of baking bread, an extra-large Turkish speaker made of steel with a smell of citrus fruits, an extra-small French bag made of concrete with a smell of vinegar, an extra-extra-small Japanese vase made of ceramic with a smell of vinegar, an extra-large Turkish pencil made of glass with a smell of vanilla, an extra-large Spanish house made of glass with a smell of citrus fruits, an extra-large Spanish flower pot made of concrete with a smell of citrus fruits. The color of the items was respectively as follows: the first 1 was beige, the next 1 was blue, the next 2 were brown, the next 3 were cyan, the next 4 were gold, the next 4 were gray, the next 1 was green, the next 3 were ivory, the next 1 was khaki, the next 3 were magenta, the next 2 were maroon, the next 1 was orange, the next 2 were pink, the next 3 were purple, the next 1 was silver, the next 3 were teal, the next 4 were turquoise, the next 2 were violet, the next 1 was white, the next 1 was yellow. Then, my brother replaced any item of size extra-large in my collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color turquoise. After this, my collection had: 14 extra-extra-large item(s), 6 medium item(s), 9 extra-extra-small item(s), 6 extra-small item(s), 5 small item(s), 3 large item(s), 11 extra-large item(s). Then, for any item of color beige in my new collection, my mom gave me another one of the same item, but with a pink color, Chinese origin, large size, burning wood smell, and made of glass. Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to vinegar. After this, my new collection had: 1 beige item(s), 2 brown item(s), 2 cyan item(s), 4 gold item(s), 3 gray item(s), 1 green item(s), 11 indigo item(s), 3 ivory item(s), 1 khaki item(s), 2 maroon item(s), 1 orange item(s), 3 pink item(s), 2 purple item(s), 1 silver item(s), 3 teal item(s), 12 turquoise item(s), 2 violet item(s), 1 white item(s). Then, for each item of size large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of coffee (all other properties the same). After this, my new collection had: 14 item(s) made of glass, 12 item(s) made of steel, 5 item(s) made of plastic, 13 item(s) made of ceramic, 11 item(s) made of concrete. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: color is not white, size is not large, material is not steel, smell is not leather, and origin is not Italian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:132", "request": "I had a collection of 31 weird items that went through a few changes. Initially, I had a small Canadian chair made of plastic with a smell of vanilla, a large Japanese bowl made of plastic with a smell of coconut, an extra-large Mexican guitar made of glass with a smell of baking bread, a large Chinese earring made of glass with a smell of chocolate, an extra-large Portuguese car made of glass with a smell of leather, a small Portuguese candle made of plastic with a smell of pine needles, an extra-extra-large Mexican camera made of plastic with a smell of chocolate, an extra-large Canadian key made of concrete with a smell of freshly cut grass, an extra-extra-small Japanese trash can made of ceramic with a smell of baking bread, a small British hat made of steel with a smell of burning wood, an extra-extra-small Japanese speaker made of concrete with a smell of lavender, a small Russian pen made of concrete with a smell of popcorn, a small Afghan flower pot made of ceramic with a smell of rose, an extra-large Afghan brush made of ceramic with a smell of gasoline, an extra-extra-small Russian hat made of ceramic with a smell of gasoline, an extra-extra-large Polish bed made of steel with a smell of lavender, an extra-extra-small French brush made of glass with a smell of vanilla, a large Japanese hammer made of ceramic with a smell of burning wood, a small British dog made of steel with a smell of vanilla, an extra-extra-large Polish wrench made of glass with a smell of lavender, an extra-large Mexican shoe made of glass with a smell of burning wood, a small Afghan ring made of plastic with a smell of vinegar, an extra-large Russian clock made of glass with a smell of leather, an extra-extra-small Mexican ruler made of plastic with a smell of vinegar, an extra-extra-large Mexican book made of plastic with a smell of coffee, an extra-small Portuguese brush made of steel with a smell of vinegar, a large Canadian table made of ceramic with a smell of coconut, an extra-small Brazilian box made of ceramic with a smell of burning wood, an extra-extra-large Italian dog made of ceramic with a smell of vanilla, an extra-large Japanese calculator made of plastic with a smell of freshly cut grass, a medium Brazilian bed made of concrete with a smell of wet dog. The color of the items was respectively as follows: the first 3 were black, the next 1 was blue, the next 2 were brown, the next 1 was crimson, the next 4 were cyan, the next 2 were gray, the next 1 was indigo, the next 5 were ivory, the next 3 were maroon, the next 3 were orange, the next 2 were pink, the next 1 was teal, the next 2 were violet, the next 1 was yellow. Then, my friend took any item with a smell of vanilla, gasoline or rose in my collection and threw it away. Then, for any item with a smell of chocolate, vinegar, or wet dog in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 8 item(s) with coconut smell, 2 item(s) with baking bread smell, 2 item(s) with chocolate smell, 2 item(s) with leather smell, 1 item(s) with pine needles smell, 2 item(s) with freshly cut grass smell, 4 item(s) with burning wood smell, 3 item(s) with lavender smell, 1 item(s) with popcorn smell, 3 item(s) with vinegar smell, 1 item(s) with coffee smell, 1 item(s) with wet dog smell. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my uncle threw away any Portuguese item in my new collection, but gave me two of the same item, one British and one Brazilian (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is ivory, or size is large, or material is concrete, or smell is coconut, or origin is Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:134", "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had an extra-small Iranian bicycle made of glass with a smell of lavender, an extra-small Chinese bowl made of glass with a smell of coffee, a medium Afghan earring made of ceramic with a smell of coffee, an extra-extra-large Portuguese table made of ceramic with a smell of coffee, an extra-large German sofa made of concrete with a smell of gasoline, an extra-extra-large Canadian camera made of plastic with a smell of citrus fruits, an extra-small Iranian bottle made of ceramic with a smell of coffee, an extra-extra-small Polish hat made of steel with a smell of coffee, an extra-large Polish drill made of ceramic with a smell of garlic, an extra-small Afghan brush made of plastic with a smell of freshly cut grass, a small Canadian ball made of glass with a smell of coconut, an extra-small Iranian apple made of steel with a smell of gasoline, an extra-extra-large Brazilian plate made of steel with a smell of chocolate, an extra-extra-small Polish table made of steel with a smell of freshly cut grass, a medium Canadian umbrella made of glass with a smell of baking bread, an extra-large Italian plate made of ceramic with a smell of garlic, an extra-extra-large Afghan brush made of glass with a smell of lavender, an extra-extra-small Polish piano made of glass with a smell of baking bread, a large French key made of ceramic with a smell of garlic, an extra-extra-large Brazilian spoon made of steel with a smell of wet dog, an extra-extra-small Chinese bicycle made of concrete with a smell of gasoline, an extra-small Mexican house made of plastic with a smell of coffee, an extra-extra-large Portuguese guitar made of plastic with a smell of coconut, a large Iranian bed made of ceramic with a smell of vinegar, a small Mexican chair made of glass with a smell of vinegar, an extra-small Chinese car made of ceramic with a smell of lavender, a small Turkish guitar made of steel with a smell of garlic, an extra-extra-small Polish cup made of plastic with a smell of vinegar, an extra-large Polish stapler made of concrete with a smell of baking bread, an extra-large Italian vase made of steel with a smell of gasoline, an extra-small Turkish vase made of plastic with a smell of gasoline, an extra-extra-small Afghan ball made of plastic with a smell of coconut, a large Afghan vase made of concrete with a smell of vanilla, a small Portuguese clock made of steel with a smell of wet dog, a small Russian plate made of concrete with a smell of citrus fruits, an extra-extra-small Mexican cup made of ceramic with a smell of leather, an extra-small German brush made of ceramic with a smell of burning wood. The color of the items was respectively as follows: the first 1 was beige, the next 4 were black, the next 2 were blue, the next 4 were brown, the next 1 was cyan, the next 1 was gold, the next 6 were green, the next 2 were indigo, the next 1 was ivory, the next 1 was khaki, the next 2 were magenta, the next 2 were maroon, the next 1 was orange, the next 2 were purple, the next 1 was red, the next 1 was silver, the next 1 was teal, the next 1 was turquoise, the next 1 was violet, the next 2 were white. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for each item of size small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of freshly cut grass (all other properties the same). After this, my new collection had: 5 item(s) made of steel, 3 item(s) made of glass, 6 item(s) made of ceramic, 6 item(s) made of concrete, 4 item(s) made of plastic. Then, for any item with a smell of baking bread, citrus fruits, or pine needles in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 4 item(s) with gasoline smell, 1 item(s) with chocolate smell, 4 item(s) with freshly cut grass smell, 3 item(s) with baking bread smell, 2 item(s) with garlic smell, 2 item(s) with lavender smell, 4 item(s) with leather smell, 1 item(s) with wet dog smell, 1 item(s) with coffee smell, 2 item(s) with vinegar smell, 1 item(s) with coconut smell, 1 item(s) with vanilla smell, 1 item(s) with burning wood smell. Then, my uncle threw away any Canadian item in my new collection, but gave me two of the same item, one Italian and one Russian (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: either color is orange, or size is extra-extra-small, or material is concrete, or smell is vinegar, or origin is Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:138", "request": "I had a collection of 45 weird items that went through a few changes. Initially, I had an extra-extra-large Spanish fork made of plastic with a smell of burning wood, a small Mexican pencil made of steel with a smell of vanilla, an extra-large Russian vase made of glass with a smell of citrus fruits, a large Afghan canvas made of glass with a smell of vinegar, an extra-extra-large Mexican pen made of steel with a smell of wet dog, a small Russian bowl made of ceramic with a smell of citrus fruits, an extra-extra-large Afghan necklace made of concrete with a smell of popcorn, an extra-large Italian table made of glass with a smell of burning wood, an extra-extra-large British bed made of glass with a smell of vinegar, a small Italian dog made of glass with a smell of baking bread, a medium Chinese pen made of steel with a smell of vanilla, a large German necklace made of ceramic with a smell of vinegar, a large French apple made of concrete with a smell of gasoline, an extra-large British guitar made of glass with a smell of rose, a large Spanish piano made of steel with a smell of chocolate, an extra-small Canadian earring made of concrete with a smell of rose, an extra-extra-small Portuguese watch made of steel with a smell of pine needles, an extra-small Mexican bicycle made of plastic with a smell of garlic, a large Polish wrench made of glass with a smell of wet dog, an extra-extra-large Polish dog made of ceramic with a smell of coconut, a medium British bowl made of ceramic with a smell of vanilla, an extra-extra-large Russian marker made of glass with a smell of gasoline, an extra-small Afghan hat made of plastic with a smell of coconut, a large Afghan clock made of steel with a smell of burning wood, an extra-extra-small Polish watch made of plastic with a smell of wet dog, an extra-extra-large Polish camera made of concrete with a smell of lavender, a large Italian marker made of glass with a smell of citrus fruits, an extra-large Iranian stapler made of concrete with a smell of baking bread, an extra-extra-small Italian lamp made of glass with a smell of vinegar, an extra-small Afghan shoe made of plastic with a smell of vanilla, a small Portuguese lamp made of concrete with a smell of rose, an extra-extra-small Mexican bird made of glass with a smell of popcorn, an extra-large German knife made of plastic with a smell of leather, an extra-large Mexican table made of steel with a smell of wet dog, an extra-small Russian bicycle made of plastic with a smell of vanilla, an extra-extra-large Mexican wallet made of steel with a smell of citrus fruits, a medium Canadian bowl made of glass with a smell of vanilla, an extra-extra-large Portuguese shoe made of ceramic with a smell of vinegar, an extra-large Chinese key made of glass with a smell of burning wood, an extra-small Brazilian lamp made of ceramic with a smell of rose, a large Canadian clock made of glass with a smell of citrus fruits, a medium Turkish fork made of steel with a smell of leather, an extra-small Mexican scissors made of ceramic with a smell of gasoline, an extra-small Turkish speaker made of steel with a smell of gasoline, a medium Brazilian saw made of steel with a smell of vanilla. The color of the items was respectively as follows: the first 2 were beige, the next 1 was blue, the next 4 were brown, the next 3 were crimson, the next 2 were cyan, the next 1 was gold, the next 1 was green, the next 1 was indigo, the next 5 were ivory, the next 2 were khaki, the next 3 were orange, the next 2 were pink, the next 3 were purple, the next 4 were red, the next 2 were silver, the next 1 was teal, the next 3 were turquoise, the next 1 was violet, the next 2 were white, the next 2 were yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to vanilla. After this, my new collection had: 10 cyan item(s), 1 gold item(s), 1 indigo item(s), 4 ivory item(s), 1 khaki item(s), 3 orange item(s), 2 purple item(s), 3 red item(s), 1 silver item(s), 2 turquoise item(s), 2 white item(s), 2 yellow item(s). Then, for any item with a smell of gasoline, coconut, or coffee in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 13 item(s) with vanilla smell, 2 item(s) with vinegar smell, 3 item(s) with gasoline smell, 5 item(s) with citrus fruits smell, 1 item(s) with chocolate smell, 3 item(s) with rose smell, 1 item(s) with pine needles smell, 1 item(s) with garlic smell, 2 item(s) with coconut smell, 1 item(s) with burning wood smell, 2 item(s) with wet dog smell, 1 item(s) with baking bread smell, 2 item(s) with leather smell. Then, my brother replaced any item of size extra-extra-small in my new collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color orange. After this, my new collection had: 5 extra-large item(s), 8 extra-extra-large item(s), 2 small item(s), 5 medium item(s), 6 large item(s), 11 extra-small item(s), 4 extra-extra-small item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: either color is red, or size is extra-large, or material is concrete, or smell is baking bread, or origin is British? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:143", "request": "I had a collection of 31 weird items that went through a few changes. Initially, I had a small Brazilian pen made of plastic with a smell of gasoline, a small Canadian pen made of plastic with a smell of baking bread, an extra-extra-small Chinese shirt made of plastic with a smell of lavender, an extra-large Spanish vase made of ceramic with a smell of vanilla, a small Polish knife made of glass with a smell of gasoline, a medium Japanese sofa made of concrete with a smell of gasoline, an extra-extra-large British marker made of plastic with a smell of burning wood, an extra-large Chinese banana made of plastic with a smell of coffee, a large Spanish apple made of ceramic with a smell of burning wood, a medium Turkish fork made of plastic with a smell of freshly cut grass, an extra-large Mexican camera made of ceramic with a smell of vinegar, a large Italian bed made of plastic with a smell of popcorn, a small French flower pot made of plastic with a smell of rose, an extra-small German stapler made of steel with a smell of gasoline, a medium German sofa made of concrete with a smell of lavender, an extra-extra-large Portuguese trash can made of concrete with a smell of gasoline, an extra-large Canadian ruler made of concrete with a smell of gasoline, a medium Afghan sofa made of ceramic with a smell of garlic, an extra-extra-small Japanese dog made of concrete with a smell of baking bread, a medium German knife made of ceramic with a smell of citrus fruits, a small Canadian ball made of ceramic with a smell of rose, a large Portuguese dog made of ceramic with a smell of pine needles, an extra-small Brazilian dog made of glass with a smell of popcorn, an extra-extra-small Turkish bowl made of glass with a smell of citrus fruits, an extra-small Brazilian bed made of concrete with a smell of coconut, an extra-extra-large Japanese pencil made of ceramic with a smell of popcorn, an extra-large Canadian drill made of ceramic with a smell of popcorn, a large Polish bowl made of glass with a smell of rose, an extra-extra-large Portuguese candle made of ceramic with a smell of wet dog, an extra-extra-large German guitar made of plastic with a smell of chocolate, a large Russian plate made of ceramic with a smell of chocolate. The color of the items was respectively as follows: the first 3 were beige, the next 2 were black, the next 1 was blue, the next 5 were crimson, the next 1 was cyan, the next 3 were gold, the next 1 was gray, the next 1 was green, the next 1 was indigo, the next 3 were ivory, the next 3 were orange, the next 1 was pink, the next 1 was silver, the next 1 was turquoise, the next 2 were violet, the next 1 was white, the next 1 was yellow. Then, my friend took any item with a smell of wet dog, vinegar or baking bread in my collection and threw it away. Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of pine needles (all other properties the same). After this, my new collection had: 7 item(s) made of plastic, 12 item(s) made of ceramic, 4 item(s) made of glass, 1 item(s) made of steel, 3 item(s) made of concrete. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my uncle threw away any French item in my new collection, but gave me two of the same item, one Portuguese and one British (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: color is not indigo, size is not extra-extra-small, material is not steel, smell is not rose, and origin is not Turkish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:145", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had an extra-extra-small Afghan screwdriver made of steel with a smell of lavender, a medium Iranian key made of concrete with a smell of garlic, an extra-small Mexican cup made of steel with a smell of coconut, a medium Italian cup made of steel with a smell of lavender, an extra-extra-large Canadian bowl made of concrete with a smell of coffee, an extra-small German sofa made of steel with a smell of popcorn, an extra-extra-large Polish bird made of plastic with a smell of vanilla, an extra-small Japanese speaker made of plastic with a smell of coconut, an extra-extra-small Iranian marker made of glass with a smell of vinegar, a large Portuguese umbrella made of plastic with a smell of wet dog, an extra-large Italian wrench made of ceramic with a smell of vanilla, an extra-extra-small Iranian earring made of plastic with a smell of coconut, a large French marker made of concrete with a smell of vinegar, a small Mexican saw made of concrete with a smell of citrus fruits, a small Afghan jar made of glass with a smell of popcorn, an extra-large Polish bowl made of steel with a smell of freshly cut grass, an extra-small German scissors made of plastic with a smell of rose, an extra-extra-large Mexican key made of steel with a smell of popcorn, an extra-extra-large Chinese knife made of glass with a smell of gasoline, an extra-large Portuguese candle made of steel with a smell of wet dog, an extra-extra-large Chinese candle made of glass with a smell of gasoline, an extra-small French screwdriver made of concrete with a smell of popcorn, a large Turkish book made of concrete with a smell of popcorn, an extra-extra-large Spanish spoon made of plastic with a smell of citrus fruits, a medium Polish book made of glass with a smell of freshly cut grass, a medium Afghan plate made of ceramic with a smell of leather, an extra-extra-large French pen made of steel with a smell of baking bread, a large Portuguese marker made of steel with a smell of citrus fruits, an extra-extra-large Brazilian key made of concrete with a smell of coffee, an extra-small Brazilian car made of steel with a smell of gasoline, a medium Japanese spoon made of glass with a smell of garlic, a small Turkish book made of steel with a smell of burning wood, a medium Portuguese spoon made of steel with a smell of gasoline, an extra-extra-small Afghan saw made of ceramic with a smell of chocolate, a large Brazilian knife made of glass with a smell of coffee. The color of the items was respectively as follows: the first 2 were beige, the next 4 were black, the next 4 were blue, the next 2 were brown, the next 1 was cyan, the next 1 was gold, the next 2 were indigo, the next 1 was ivory, the next 2 were khaki, the next 3 were magenta, the next 3 were pink, the next 1 was purple, the next 1 was red, the next 2 were silver, the next 1 was teal, the next 2 were turquoise, the next 2 were violet, the next 1 was yellow. Then, for each item of size small in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of lavender (all other properties the same). After this, my collection had: 11 item(s) made of steel, 6 item(s) made of concrete, 9 item(s) made of plastic, 6 item(s) made of glass, 3 item(s) made of ceramic. Then, for any item made of steel in my new collection, my sister changed their color to her favorite color and changed their smell to pine needles. After this, my new collection had: 1 beige item(s), 1 black item(s), 4 blue item(s), 2 brown item(s), 1 cyan item(s), 1 gold item(s), 11 gray item(s), 1 indigo item(s), 1 ivory item(s), 1 khaki item(s), 2 magenta item(s), 3 pink item(s), 1 purple item(s), 1 silver item(s), 2 turquoise item(s), 1 violet item(s), 1 yellow item(s). Then, my brother replaced any item of size extra-extra-small in my new collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color red. After this, my new collection had: 6 medium item(s), 12 extra-extra-large item(s), 6 extra-small item(s), 5 large item(s), 3 extra-large item(s), 3 small item(s), 4 extra-extra-small item(s). Then, for any item of color brown in my new collection, my mom gave me another one of the same item, but with a violet color, Afghan origin, small size, garlic smell, and made of plastic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not silver, size is not extra-extra-large, material is not glass, smell is not leather, and origin is not Mexican? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:146", "request": "I had a collection of 32 weird items that went through a few changes. Initially, I had an extra-extra-large Portuguese bag made of concrete with a smell of vinegar, an extra-small Polish earring made of plastic with a smell of baking bread, a medium Turkish spoon made of glass with a smell of leather, an extra-large Afghan jar made of steel with a smell of vinegar, an extra-extra-large Canadian bicycle made of plastic with a smell of burning wood, a large Russian marker made of glass with a smell of leather, a medium German bicycle made of glass with a smell of baking bread, an extra-extra-large British book made of plastic with a smell of chocolate, a small Afghan guitar made of glass with a smell of citrus fruits, a large Iranian bottle made of plastic with a smell of garlic, a large Turkish ruler made of plastic with a smell of vinegar, an extra-extra-small Portuguese sunglasses made of concrete with a smell of coconut, a large Afghan jar made of ceramic with a smell of coconut, an extra-large Chinese plate made of ceramic with a smell of wet dog, a medium Chinese saw made of plastic with a smell of wet dog, an extra-extra-large Polish bicycle made of plastic with a smell of coconut, a large Iranian chair made of ceramic with a smell of freshly cut grass, an extra-large Russian piano made of plastic with a smell of burning wood, an extra-small Iranian bed made of ceramic with a smell of pine needles, an extra-large French bicycle made of concrete with a smell of chocolate, an extra-small Turkish brush made of steel with a smell of baking bread, an extra-extra-small Russian key made of ceramic with a smell of freshly cut grass, a large British speaker made of concrete with a smell of freshly cut grass, an extra-large Italian vase made of ceramic with a smell of popcorn, an extra-extra-small Italian marker made of concrete with a smell of coconut, a medium Chinese chair made of ceramic with a smell of gasoline, an extra-large British sunglasses made of ceramic with a smell of lavender, a medium Russian vase made of ceramic with a smell of lavender, an extra-extra-large Japanese drill made of steel with a smell of freshly cut grass, a small Spanish table made of ceramic with a smell of coconut, a small Brazilian dog made of steel with a smell of lavender, an extra-extra-small Japanese candle made of plastic with a smell of garlic. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 1 was blue, the next 1 was cyan, the next 1 was gold, the next 1 was gray, the next 3 were green, the next 5 were ivory, the next 2 were khaki, the next 1 was magenta, the next 3 were maroon, the next 1 was orange, the next 1 was purple, the next 1 was silver, the next 1 was teal, the next 1 was turquoise, the next 1 was violet, the next 2 were white, the next 2 were yellow. Then, my uncle threw away any Canadian item in my collection, but gave me two of the same item, one British and one Iranian (all other properties the same). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of wet dog (all other properties the same). After this, my new collection had: 4 item(s) made of glass, 4 item(s) made of plastic, 3 item(s) made of concrete, 8 item(s) made of ceramic, 3 item(s) made of steel. Then, my brother replaced any item of size medium in my new collection with an exact copy but with one specific size (different from medium) and another exact copy but with color yellow. After this, my new collection had: 6 extra-small item(s), 3 extra-extra-large item(s), 4 large item(s), 2 extra-extra-small item(s), 5 extra-large item(s), 2 small item(s), 4 medium item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: either color is ivory, or size is extra-small, or material is glass, or smell is baking bread, or origin is Japanese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:147", "request": "I had a collection of 39 weird items that went through a few changes. Initially, I had a large Italian candle made of glass with a smell of gasoline, a small Portuguese apple made of concrete with a smell of vinegar, an extra-extra-large Brazilian piano made of glass with a smell of chocolate, a small Polish fork made of plastic with a smell of vinegar, a large Italian bicycle made of steel with a smell of gasoline, an extra-extra-large Brazilian speaker made of concrete with a smell of baking bread, an extra-small Portuguese bicycle made of concrete with a smell of pine needles, an extra-small Spanish dog made of glass with a smell of citrus fruits, an extra-large Russian shoe made of glass with a smell of rose, an extra-extra-large Iranian house made of plastic with a smell of citrus fruits, an extra-large Chinese car made of concrete with a smell of vinegar, a small Portuguese key made of plastic with a smell of burning wood, a small Italian cup made of plastic with a smell of lavender, an extra-small Iranian bowl made of plastic with a smell of popcorn, a small Polish watch made of steel with a smell of vanilla, a large Afghan fork made of ceramic with a smell of garlic, a large French screwdriver made of steel with a smell of leather, an extra-large Russian ball made of steel with a smell of pine needles, a large Brazilian ring made of ceramic with a smell of pine needles, a medium Spanish ruler made of glass with a smell of coconut, an extra-small French ball made of plastic with a smell of rose, an extra-small Russian camera made of concrete with a smell of pine needles, a large Iranian ruler made of ceramic with a smell of garlic, a large British plier made of ceramic with a smell of leather, an extra-extra-small Afghan banana made of steel with a smell of lavender, an extra-large Polish earring made of steel with a smell of vanilla, an extra-large Spanish hammer made of plastic with a smell of garlic, an extra-extra-small Afghan spoon made of ceramic with a smell of coffee, an extra-large Russian camera made of glass with a smell of freshly cut grass, an extra-small German earring made of ceramic with a smell of garlic, an extra-small Japanese vase made of glass with a smell of vanilla, an extra-extra-large Polish cup made of steel with a smell of coffee, a small Portuguese apple made of plastic with a smell of chocolate, a large Mexican necklace made of ceramic with a smell of lavender, a medium Canadian shoe made of concrete with a smell of wet dog, a medium French ring made of plastic with a smell of lavender, an extra-small Polish earring made of plastic with a smell of freshly cut grass, a small Iranian shirt made of glass with a smell of chocolate, an extra-extra-large Brazilian book made of concrete with a smell of chocolate. The color of the items was respectively as follows: the first 2 were beige, the next 1 was blue, the next 3 were brown, the next 2 were crimson, the next 1 was cyan, the next 1 was gray, the next 1 was green, the next 4 were ivory, the next 4 were khaki, the next 4 were magenta, the next 2 were orange, the next 1 was pink, the next 2 were red, the next 2 were silver, the next 1 was teal, the next 1 was turquoise, the next 1 was violet, the next 4 were white, the next 2 were yellow. Then, for each item of size small in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of vinegar (all other properties the same). After this, my collection had: 14 item(s) made of glass, 6 item(s) made of steel, 6 item(s) made of concrete, 6 item(s) made of plastic, 7 item(s) made of ceramic. Then, my brother replaced any item of size extra-small in my new collection with an exact copy but with one specific size (different from extra-small) and another exact copy but with color khaki. After this, my new collection had: 8 large item(s), 7 small item(s), 13 extra-extra-large item(s), 6 extra-large item(s), 8 extra-small item(s), 3 medium item(s), 2 extra-extra-small item(s). Then, for any item with a smell of citrus fruits, popcorn, or vanilla in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with gasoline smell, 8 item(s) with vinegar smell, 2 item(s) with chocolate smell, 9 item(s) with baking bread smell, 6 item(s) with pine needles smell, 3 item(s) with citrus fruits smell, 3 item(s) with rose smell, 2 item(s) with popcorn smell, 5 item(s) with garlic smell, 2 item(s) with leather smell, 3 item(s) with vanilla smell, 3 item(s) with freshly cut grass smell, 1 item(s) with coconut smell, 3 item(s) with lavender smell, 2 item(s) with coffee smell, 1 item(s) with wet dog smell. Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to lavender. After this, my new collection had: 10 beige item(s), 1 blue item(s), 2 brown item(s), 2 crimson item(s), 1 cyan item(s), 2 gray item(s), 5 ivory item(s), 13 khaki item(s), 3 magenta item(s), 2 orange item(s), 2 pink item(s), 2 red item(s), 2 silver item(s), 2 teal item(s), 1 turquoise item(s), 1 violet item(s), 3 white item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: color is not orange, size is not medium, material is not plastic, smell is not baking bread, and origin is not German? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:148", "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had an extra-large Russian bag made of steel with a smell of burning wood, a medium Japanese bicycle made of concrete with a smell of popcorn, a small French candle made of plastic with a smell of coffee, an extra-small Polish chair made of glass with a smell of popcorn, a small Afghan vase made of plastic with a smell of gasoline, an extra-small Chinese table made of plastic with a smell of coconut, an extra-extra-small German guitar made of plastic with a smell of leather, a large Russian bag made of plastic with a smell of chocolate, a large Spanish ring made of plastic with a smell of wet dog, an extra-extra-large Polish ring made of plastic with a smell of rose, an extra-extra-small Mexican guitar made of ceramic with a smell of chocolate, an extra-extra-large Japanese bag made of ceramic with a smell of burning wood, an extra-large Canadian house made of ceramic with a smell of chocolate, an extra-extra-small Russian bird made of glass with a smell of pine needles, an extra-large French marker made of ceramic with a smell of baking bread, an extra-small Afghan guitar made of ceramic with a smell of vanilla, a medium Japanese necklace made of steel with a smell of coffee, a large Afghan umbrella made of steel with a smell of baking bread, an extra-large British jar made of steel with a smell of gasoline, a small Iranian watch made of concrete with a smell of garlic, a medium Brazilian ball made of glass with a smell of freshly cut grass, an extra-small British sunglasses made of concrete with a smell of burning wood, an extra-extra-small Mexican bicycle made of steel with a smell of pine needles, an extra-extra-large Mexican shoe made of ceramic with a smell of gasoline, an extra-large Italian speaker made of steel with a smell of gasoline, an extra-small Canadian necklace made of concrete with a smell of baking bread, an extra-large Japanese ruler made of glass with a smell of lavender, an extra-extra-large Chinese calculator made of glass with a smell of baking bread, a medium Japanese shoe made of glass with a smell of vinegar, a large Iranian sofa made of plastic with a smell of pine needles, an extra-large Russian dog made of glass with a smell of lavender, an extra-extra-small Italian dog made of glass with a smell of burning wood, an extra-extra-large German scissors made of ceramic with a smell of wet dog, an extra-extra-small Afghan brush made of steel with a smell of freshly cut grass, a medium Turkish flower pot made of steel with a smell of vinegar, an extra-large Spanish knife made of steel with a smell of vinegar, a small Afghan wrench made of steel with a smell of popcorn, an extra-large Afghan pen made of plastic with a smell of popcorn, a large Iranian bag made of plastic with a smell of coffee, an extra-large Chinese jar made of plastic with a smell of chocolate, an extra-small German ball made of glass with a smell of gasoline, an extra-small Iranian calculator made of glass with a smell of chocolate, a small Russian key made of glass with a smell of freshly cut grass. The color of the items was respectively as follows: the first 2 were beige, the next 4 were black, the next 2 were blue, the next 2 were crimson, the next 1 was cyan, the next 1 was gold, the next 1 was gray, the next 5 were green, the next 1 was indigo, the next 2 were ivory, the next 2 were khaki, the next 1 was magenta, the next 2 were maroon, the next 3 were orange, the next 1 was pink, the next 3 were silver, the next 1 was turquoise, the next 2 were violet, the next 5 were white, the next 2 were yellow. Then, my brother replaced any item of size small in my collection with an exact copy but with one specific size (different from small) and another exact copy but with color crimson. After this, my collection had: 10 extra-large item(s), 10 medium item(s), 7 extra-small item(s), 6 extra-extra-small item(s), 5 large item(s), 5 small item(s), 5 extra-extra-large item(s). Then, my uncle threw away any Chinese item in my new collection, but gave me two of the same item, one Italian and one Iranian (all other properties the same). Then, for any item with a smell of pine needles, rose, or vinegar in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 4 item(s) with burning wood smell, 5 item(s) with popcorn smell, 4 item(s) with coffee smell, 6 item(s) with gasoline smell, 2 item(s) with coconut smell, 1 item(s) with leather smell, 13 item(s) with chocolate smell, 2 item(s) with wet dog smell, 1 item(s) with rose smell, 2 item(s) with garlic smell, 4 item(s) with freshly cut grass smell, 3 item(s) with pine needles smell, 5 item(s) with baking bread smell, 1 item(s) with vanilla smell, 2 item(s) with lavender smell, 3 item(s) with vinegar smell. Then, for any item of color blue in my new collection, my mom gave me another one of the same item, but with a beige color, French origin, medium size, wet dog smell, and made of concrete. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: either color is gold, or size is extra-extra-small, or material is concrete, or smell is leather, or origin is Japanese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:152", "request": "I had a collection of 46 weird items that went through a few changes. Initially, I had an extra-large Polish spoon made of glass with a smell of burning wood, a medium Iranian banana made of plastic with a smell of pine needles, an extra-large German brush made of plastic with a smell of rose, an extra-extra-small Afghan dog made of ceramic with a smell of baking bread, a medium Mexican wallet made of concrete with a smell of coconut, a large Afghan sofa made of steel with a smell of vanilla, an extra-extra-large Canadian hammer made of ceramic with a smell of pine needles, a medium Japanese brush made of plastic with a smell of freshly cut grass, a small Italian clock made of glass with a smell of coffee, a large Italian marker made of steel with a smell of leather, a medium Chinese book made of concrete with a smell of vinegar, an extra-extra-large Russian car made of plastic with a smell of chocolate, an extra-extra-large Turkish stapler made of plastic with a smell of rose, a medium Portuguese stapler made of glass with a smell of gasoline, an extra-extra-large French guitar made of ceramic with a smell of citrus fruits, a large German bottle made of ceramic with a smell of vanilla, a medium Mexican watch made of glass with a smell of garlic, an extra-extra-large French fork made of concrete with a smell of popcorn, an extra-small German key made of concrete with a smell of rose, an extra-large British pencil made of glass with a smell of gasoline, an extra-small Canadian ball made of ceramic with a smell of coffee, a medium Italian bowl made of steel with a smell of popcorn, an extra-small Polish ball made of concrete with a smell of burning wood, a medium Polish fork made of concrete with a smell of chocolate, an extra-extra-small German cup made of concrete with a smell of garlic, an extra-extra-large French watch made of steel with a smell of chocolate, a small Afghan drill made of glass with a smell of leather, an extra-large Mexican fork made of steel with a smell of coffee, an extra-extra-small Japanese fork made of glass with a smell of baking bread, an extra-extra-large Chinese earring made of ceramic with a smell of pine needles, a large Afghan sunglasses made of ceramic with a smell of burning wood, an extra-extra-small British scissors made of glass with a smell of popcorn, an extra-large German candle made of glass with a smell of vanilla, a large French bottle made of plastic with a smell of freshly cut grass, an extra-extra-small Brazilian fork made of glass with a smell of citrus fruits, a large Russian pen made of glass with a smell of leather, a large Chinese earring made of steel with a smell of vanilla, an extra-large Mexican trash can made of ceramic with a smell of garlic, a medium British bed made of ceramic with a smell of coffee, an extra-large Italian saw made of concrete with a smell of gasoline, a small Iranian ring made of ceramic with a smell of burning wood, an extra-small Afghan bag made of concrete with a smell of leather, an extra-extra-small Mexican stapler made of ceramic with a smell of wet dog, an extra-small Turkish pencil made of ceramic with a smell of coconut, an extra-extra-large Japanese shoe made of ceramic with a smell of lavender, a small Portuguese bird made of steel with a smell of vanilla. The color of the items was respectively as follows: the first 3 were beige, the next 4 were black, the next 2 were blue, the next 4 were crimson, the next 2 were cyan, the next 3 were gold, the next 2 were gray, the next 3 were green, the next 4 were indigo, the next 1 was ivory, the next 2 were khaki, the next 1 was magenta, the next 3 were maroon, the next 1 was orange, the next 2 were pink, the next 3 were red, the next 2 were silver, the next 1 was teal, the next 1 was violet, the next 1 was white, the next 1 was yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item with a smell of wet dog, popcorn, or chocolate in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 3 item(s) with burning wood smell, 2 item(s) with pine needles smell, 2 item(s) with baking bread smell, 1 item(s) with coconut smell, 3 item(s) with vanilla smell, 3 item(s) with coffee smell, 4 item(s) with leather smell, 1 item(s) with vinegar smell, 2 item(s) with chocolate smell, 2 item(s) with rose smell, 6 item(s) with freshly cut grass smell, 2 item(s) with gasoline smell, 2 item(s) with citrus fruits smell, 3 item(s) with popcorn smell, 2 item(s) with garlic smell, 1 item(s) with wet dog smell, 1 item(s) with lavender smell. Then, my uncle threw away any Chinese item in my new collection, but gave me two of the same item, one Italian and one Japanese (all other properties the same). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 beige item(s), 4 black item(s), 1 blue item(s), 6 crimson item(s), 2 cyan item(s), 2 gold item(s), 1 gray item(s), 4 indigo item(s), 1 ivory item(s), 1 khaki item(s), 1 magenta item(s), 3 maroon item(s), 1 orange item(s), 1 pink item(s), 3 red item(s), 2 silver item(s), 2 teal item(s), 1 white item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: either color is pink, or size is extra-extra-small, or material is ceramic, or smell is garlic, or origin is Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:153", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had a small French wallet made of steel with a smell of rose, a large Russian guitar made of glass with a smell of leather, a small Mexican saw made of glass with a smell of freshly cut grass, an extra-small French jar made of concrete with a smell of pine needles, an extra-small Polish house made of ceramic with a smell of lavender, a small Canadian dog made of concrete with a smell of citrus fruits, a medium Russian shoe made of concrete with a smell of pine needles, a small Chinese canvas made of plastic with a smell of coffee, an extra-large French bird made of plastic with a smell of popcorn, an extra-large German house made of glass with a smell of freshly cut grass, a large Portuguese trash can made of plastic with a smell of popcorn, an extra-large Spanish wallet made of steel with a smell of coconut, an extra-extra-large Canadian apple made of concrete with a smell of freshly cut grass, an extra-extra-small Italian ball made of steel with a smell of garlic, a large Japanese banana made of plastic with a smell of vinegar, an extra-extra-small Italian screwdriver made of steel with a smell of coconut, an extra-extra-small Japanese banana made of plastic with a smell of gasoline, an extra-small Polish banana made of ceramic with a smell of freshly cut grass, an extra-extra-small Japanese ball made of steel with a smell of vanilla, an extra-extra-large Brazilian hat made of ceramic with a smell of pine needles, a small Iranian earring made of steel with a smell of vanilla, an extra-extra-large Italian pencil made of concrete with a smell of popcorn, a medium British apple made of glass with a smell of leather, a small Iranian calculator made of glass with a smell of rose, a large Mexican trash can made of steel with a smell of chocolate, a small British speaker made of plastic with a smell of rose, an extra-extra-large Mexican drill made of plastic with a smell of garlic, a small German car made of concrete with a smell of gasoline, an extra-extra-large Canadian spoon made of concrete with a smell of lavender, a medium German car made of ceramic with a smell of chocolate, an extra-extra-small Russian apple made of plastic with a smell of gasoline, an extra-large French knife made of concrete with a smell of chocolate, an extra-extra-large Iranian saw made of plastic with a smell of coconut. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 1 was blue, the next 1 was gold, the next 2 were gray, the next 1 was green, the next 4 were indigo, the next 2 were khaki, the next 2 were magenta, the next 3 were orange, the next 1 was red, the next 1 was silver, the next 2 were teal, the next 2 were turquoise, the next 4 were violet, the next 3 were white, the next 2 were yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 gold item(s), 2 gray item(s), 1 green item(s), 3 indigo item(s), 1 khaki item(s), 1 magenta item(s), 1 orange item(s), 1 red item(s), 1 silver item(s), 2 turquoise item(s), 4 violet item(s), 3 white item(s), 2 yellow item(s). Then, my friend took any item with a smell of leather, baking bread or burning wood in my new collection and threw it away. Then, my brother replaced any item of size extra-large in my new collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color green. After this, my new collection had: 2 extra-small item(s), 7 small item(s), 2 medium item(s), 3 extra-large item(s), 2 large item(s), 5 extra-extra-large item(s), 4 extra-extra-small item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not indigo, size is not extra-extra-large, material is not steel, smell is not vanilla, and origin is not Mexican? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:154", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had an extra-large Afghan hammer made of concrete with a smell of citrus fruits, a medium British earring made of ceramic with a smell of lavender, a medium Portuguese banana made of ceramic with a smell of coffee, a medium British pencil made of ceramic with a smell of chocolate, an extra-small Brazilian spoon made of steel with a smell of burning wood, an extra-large Iranian table made of plastic with a smell of chocolate, a medium Turkish bag made of plastic with a smell of burning wood, a small Mexican bag made of glass with a smell of coffee, an extra-small Portuguese box made of ceramic with a smell of baking bread, an extra-large German book made of steel with a smell of baking bread, a large Polish calculator made of glass with a smell of baking bread, a small Portuguese pencil made of steel with a smell of lavender, a large Turkish lamp made of concrete with a smell of wet dog, an extra-extra-small Portuguese cup made of plastic with a smell of pine needles, a medium Mexican key made of ceramic with a smell of wet dog, an extra-extra-large Russian bird made of ceramic with a smell of lavender, a small Mexican wallet made of plastic with a smell of baking bread, an extra-extra-large Afghan table made of plastic with a smell of lavender, an extra-extra-large Portuguese wallet made of concrete with a smell of pine needles, an extra-small Russian car made of steel with a smell of burning wood, a small German canvas made of ceramic with a smell of leather, a small Canadian hat made of concrete with a smell of leather, an extra-small Iranian knife made of steel with a smell of vinegar, an extra-extra-large Afghan ruler made of glass with a smell of coffee, an extra-extra-small Brazilian key made of concrete with a smell of baking bread, an extra-extra-small Iranian hammer made of glass with a smell of burning wood, an extra-extra-large Spanish bowl made of plastic with a smell of garlic, a large Mexican watch made of steel with a smell of burning wood, an extra-extra-large Portuguese sofa made of steel with a smell of citrus fruits, a medium Russian car made of steel with a smell of gasoline, a small Portuguese shirt made of glass with a smell of chocolate, a small Polish guitar made of glass with a smell of lavender, an extra-small French bowl made of plastic with a smell of leather, a small Turkish pencil made of concrete with a smell of leather, a large Italian house made of steel with a smell of coffee. The color of the items was respectively as follows: the first 1 was beige, the next 1 was brown, the next 4 were crimson, the next 2 were cyan, the next 1 was gold, the next 2 were gray, the next 3 were green, the next 3 were indigo, the next 3 were ivory, the next 2 were khaki, the next 1 was magenta, the next 1 was maroon, the next 3 were purple, the next 2 were red, the next 1 was teal, the next 1 was turquoise, the next 1 was violet, the next 1 was white, the next 2 were yellow. Then, for any item made of concrete in my collection, my sister changed their color to her favorite color and changed their smell to garlic. After this, my collection had: 1 brown item(s), 4 crimson item(s), 2 cyan item(s), 1 gold item(s), 2 gray item(s), 2 green item(s), 3 indigo item(s), 2 ivory item(s), 1 khaki item(s), 1 magenta item(s), 1 maroon item(s), 8 purple item(s), 2 red item(s), 1 teal item(s), 1 turquoise item(s), 1 violet item(s), 1 white item(s), 1 yellow item(s). Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of burning wood (all other properties the same). After this, my new collection had: 9 item(s) made of ceramic, 8 item(s) made of steel, 6 item(s) made of plastic, 6 item(s) made of glass, 6 item(s) made of concrete. Then, for any item with a smell of wet dog, freshly cut grass, or baking bread in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 10 item(s) with burning wood smell, 2 item(s) with chocolate smell, 3 item(s) with coffee smell, 4 item(s) with baking bread smell, 4 item(s) with popcorn smell, 4 item(s) with lavender smell, 1 item(s) with pine needles smell, 2 item(s) with leather smell, 1 item(s) with vinegar smell, 7 item(s) with garlic smell, 1 item(s) with citrus fruits smell. Then, my brother replaced any item of size small in my new collection with an exact copy but with one specific size (different from small) and another exact copy but with color crimson. After this, my new collection had: 6 medium item(s), 6 extra-small item(s), 13 extra-large item(s), 9 small item(s), 5 large item(s), 3 extra-extra-small item(s), 6 extra-extra-large item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is magenta, or size is large, or material is steel, or smell is popcorn, or origin is Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:158", "request": "I had a collection of 36 weird items that went through a few changes. Initially, I had a small German shirt made of glass with a smell of coffee, an extra-extra-large Mexican hat made of ceramic with a smell of gasoline, an extra-small German ruler made of glass with a smell of freshly cut grass, a large German dog made of ceramic with a smell of freshly cut grass, an extra-large German plate made of steel with a smell of burning wood, an extra-large British knife made of glass with a smell of coffee, an extra-small Polish canvas made of steel with a smell of rose, an extra-extra-small British chair made of steel with a smell of vinegar, an extra-extra-small Japanese calculator made of ceramic with a smell of leather, an extra-extra-large French car made of plastic with a smell of chocolate, an extra-extra-small British fork made of glass with a smell of chocolate, a small Italian umbrella made of glass with a smell of vanilla, a medium Brazilian dog made of steel with a smell of chocolate, a large Russian hat made of concrete with a smell of freshly cut grass, an extra-extra-small Brazilian bowl made of steel with a smell of garlic, a large Spanish ring made of ceramic with a smell of leather, an extra-large Italian scissors made of steel with a smell of coffee, an extra-extra-large Italian fork made of ceramic with a smell of pine needles, a small French guitar made of ceramic with a smell of garlic, an extra-extra-small Russian watch made of plastic with a smell of gasoline, a small German calculator made of steel with a smell of vanilla, a medium Japanese cup made of glass with a smell of wet dog, a small Chinese lamp made of steel with a smell of wet dog, an extra-small Mexican sofa made of plastic with a smell of coconut, a small German piano made of plastic with a smell of gasoline, an extra-large French umbrella made of ceramic with a smell of vanilla, an extra-small Polish watch made of concrete with a smell of coconut, a small Canadian hat made of ceramic with a smell of gasoline, an extra-small British bicycle made of glass with a smell of coffee, an extra-large Polish fork made of glass with a smell of lavender, an extra-extra-small British sunglasses made of ceramic with a smell of coconut, an extra-large German vase made of ceramic with a smell of popcorn, a medium Japanese trash can made of ceramic with a smell of baking bread, an extra-extra-small Mexican spoon made of glass with a smell of burning wood, an extra-large British wrench made of steel with a smell of coconut, a large Chinese banana made of glass with a smell of vanilla. The color of the items was respectively as follows: the first 2 were beige, the next 3 were black, the next 2 were blue, the next 1 was crimson, the next 1 was cyan, the next 2 were gold, the next 1 was gray, the next 1 was green, the next 1 was indigo, the next 1 was ivory, the next 1 was khaki, the next 4 were magenta, the next 4 were maroon, the next 1 was orange, the next 1 was pink, the next 3 were purple, the next 1 was silver, the next 3 were teal, the next 1 was violet, the next 2 were yellow. Then, for any item of color ivory in my collection, my mom gave me another one of the same item, but with a silver color, Spanish origin, extra-extra-small size, burning wood smell, and made of steel. Then, my friend took any item with a smell of chocolate, citrus fruits or leather in my new collection and threw it away. Then, my uncle threw away any Japanese item in my new collection, but gave me two of the same item, one Chinese and one Mexican (all other properties the same). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 beige item(s), 3 black item(s), 2 blue item(s), 1 crimson item(s), 1 gray item(s), 1 indigo item(s), 1 ivory item(s), 4 magenta item(s), 5 maroon item(s), 1 orange item(s), 1 pink item(s), 3 purple item(s), 4 teal item(s), 1 violet item(s), 2 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is maroon, or size is large, or material is concrete, or smell is baking bread, or origin is Canadian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:160", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had an extra-extra-large Japanese camera made of steel with a smell of citrus fruits, a medium Brazilian ruler made of ceramic with a smell of wet dog, an extra-large French dog made of ceramic with a smell of gasoline, an extra-extra-small French umbrella made of concrete with a smell of pine needles, an extra-extra-large Afghan fork made of plastic with a smell of gasoline, an extra-extra-large Afghan plier made of glass with a smell of vinegar, a large German bottle made of steel with a smell of pine needles, an extra-extra-large Mexican lamp made of ceramic with a smell of lavender, an extra-extra-large French plate made of concrete with a smell of chocolate, an extra-large Canadian calculator made of ceramic with a smell of wet dog, an extra-extra-large German marker made of ceramic with a smell of pine needles, a medium Brazilian ball made of plastic with a smell of vinegar, an extra-extra-large Mexican calculator made of glass with a smell of baking bread, an extra-small Chinese necklace made of glass with a smell of baking bread, a medium British camera made of steel with a smell of coconut, an extra-large Russian bowl made of concrete with a smell of lavender, an extra-extra-large Brazilian plate made of concrete with a smell of vinegar, an extra-small Spanish watch made of ceramic with a smell of vanilla, an extra-extra-large Iranian umbrella made of plastic with a smell of freshly cut grass, an extra-extra-large Japanese bed made of glass with a smell of wet dog, an extra-extra-large Brazilian wallet made of ceramic with a smell of pine needles, an extra-small Russian chair made of glass with a smell of coffee, a small Brazilian plate made of ceramic with a smell of garlic, an extra-large Spanish wrench made of plastic with a smell of leather, a medium Afghan speaker made of concrete with a smell of garlic, an extra-extra-large Spanish necklace made of glass with a smell of popcorn, a medium Russian bird made of plastic with a smell of freshly cut grass, a small British clock made of steel with a smell of coconut, a medium Canadian box made of ceramic with a smell of burning wood, an extra-small Portuguese jar made of glass with a smell of burning wood, an extra-small German stapler made of plastic with a smell of pine needles, a small Polish bird made of glass with a smell of coffee, a small British jar made of plastic with a smell of coconut, an extra-large Italian chair made of glass with a smell of popcorn, a large Portuguese screwdriver made of ceramic with a smell of vinegar. The color of the items was respectively as follows: the first 1 was beige, the next 1 was black, the next 2 were brown, the next 2 were crimson, the next 1 was cyan, the next 2 were gold, the next 4 were gray, the next 4 were green, the next 1 was indigo, the next 1 was ivory, the next 1 was khaki, the next 1 was magenta, the next 3 were orange, the next 1 was pink, the next 2 were purple, the next 2 were red, the next 1 was silver, the next 2 were teal, the next 2 were violet, the next 1 was yellow. Then, for any item of color pink in my collection, my mom gave me another one of the same item, but with a gray color, French origin, large size, citrus fruits smell, and made of concrete. Then, my friend took any item with a smell of chocolate, gasoline or leather in my new collection and threw it away. Then, for any item with a smell of wet dog, freshly cut grass, or coconut in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with citrus fruits smell, 3 item(s) with wet dog smell, 8 item(s) with gasoline smell, 5 item(s) with pine needles smell, 4 item(s) with vinegar smell, 2 item(s) with lavender smell, 2 item(s) with baking bread smell, 3 item(s) with coconut smell, 1 item(s) with vanilla smell, 2 item(s) with freshly cut grass smell, 2 item(s) with coffee smell, 2 item(s) with garlic smell, 2 item(s) with popcorn smell, 2 item(s) with burning wood smell. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: either color is magenta, or size is small, or material is concrete, or smell is lavender, or origin is Mexican? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:161", "request": "I had a collection of 47 weird items that went through a few changes. Initially, I had a small Afghan drill made of concrete with a smell of garlic, an extra-large Turkish umbrella made of plastic with a smell of burning wood, a small Iranian key made of glass with a smell of chocolate, a medium Mexican calculator made of glass with a smell of wet dog, a large Brazilian necklace made of plastic with a smell of burning wood, a small Portuguese trash can made of plastic with a smell of chocolate, an extra-extra-small Turkish ring made of steel with a smell of vanilla, an extra-extra-small Russian hammer made of steel with a smell of burning wood, an extra-large Brazilian fork made of steel with a smell of pine needles, a small Italian brush made of concrete with a smell of leather, an extra-large Chinese vase made of plastic with a smell of rose, an extra-large Italian fork made of glass with a smell of citrus fruits, a large Turkish hammer made of glass with a smell of wet dog, an extra-extra-small Italian scissors made of plastic with a smell of freshly cut grass, an extra-extra-small Italian plier made of steel with a smell of pine needles, an extra-large Portuguese box made of glass with a smell of baking bread, a small Portuguese spoon made of concrete with a smell of burning wood, a medium Russian bag made of concrete with a smell of freshly cut grass, an extra-extra-small Spanish ball made of plastic with a smell of citrus fruits, a large Afghan box made of plastic with a smell of lavender, a large Mexican dog made of ceramic with a smell of coconut, an extra-large Brazilian pencil made of plastic with a smell of citrus fruits, an extra-large Japanese hammer made of glass with a smell of coconut, a medium Spanish sofa made of glass with a smell of chocolate, an extra-small Italian ring made of glass with a smell of vinegar, an extra-extra-small Italian calculator made of plastic with a smell of rose, an extra-extra-large Turkish jar made of plastic with a smell of garlic, a large Afghan vase made of ceramic with a smell of rose, an extra-small Mexican candle made of concrete with a smell of popcorn, a medium Mexican key made of concrete with a smell of gasoline, an extra-extra-large Afghan hammer made of glass with a smell of chocolate, an extra-large Afghan stapler made of steel with a smell of rose, a large German chair made of steel with a smell of freshly cut grass, a medium Polish cup made of concrete with a smell of vinegar, a medium Afghan brush made of steel with a smell of citrus fruits, an extra-extra-large Iranian earring made of concrete with a smell of freshly cut grass, an extra-small British shirt made of steel with a smell of baking bread, an extra-large British candle made of concrete with a smell of freshly cut grass, an extra-large Italian drill made of ceramic with a smell of citrus fruits, an extra-small Canadian brush made of steel with a smell of coconut, an extra-small Russian house made of concrete with a smell of popcorn, a large Italian bicycle made of plastic with a smell of chocolate, a small German plier made of ceramic with a smell of pine needles, an extra-extra-large Canadian pen made of plastic with a smell of leather, a large Chinese calculator made of steel with a smell of vinegar, an extra-small Russian key made of plastic with a smell of vanilla, an extra-extra-small Russian vase made of plastic with a smell of coconut. The color of the items was respectively as follows: the first 7 were black, the next 3 were brown, the next 4 were crimson, the next 3 were cyan, the next 2 were green, the next 1 was indigo, the next 1 was ivory, the next 3 were khaki, the next 1 was magenta, the next 2 were orange, the next 4 were pink, the next 2 were purple, the next 1 was red, the next 1 was silver, the next 2 were teal, the next 2 were turquoise, the next 5 were violet, the next 1 was white, the next 2 were yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my uncle threw away any Iranian item in my new collection, but gave me two of the same item, one Spanish and one British (all other properties the same). Then, for any item made of ceramic in my new collection, my sister changed their color to her favorite color and changed their smell to chocolate. After this, my new collection had: 3 crimson item(s), 3 cyan item(s), 2 green item(s), 1 indigo item(s), 1 khaki item(s), 1 magenta item(s), 2 orange item(s), 1 pink item(s), 6 purple item(s), 1 red item(s), 1 silver item(s), 3 teal item(s), 4 violet item(s), 1 white item(s), 2 yellow item(s). Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of leather (all other properties the same). After this, my new collection had: 10 item(s) made of plastic, 3 item(s) made of glass, 6 item(s) made of steel, 4 item(s) made of concrete, 9 item(s) made of ceramic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: color is not teal, size is not medium, material is not steel, smell is not pine needles, and origin is not Spanish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:162", "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had an extra-extra-large Polish watch made of plastic with a smell of vinegar, a small Mexican key made of glass with a smell of wet dog, an extra-large Spanish box made of ceramic with a smell of burning wood, a medium Chinese trash can made of concrete with a smell of chocolate, an extra-large Russian wrench made of ceramic with a smell of baking bread, an extra-extra-small Russian piano made of ceramic with a smell of baking bread, an extra-extra-large Spanish key made of plastic with a smell of coffee, an extra-extra-large Polish watch made of concrete with a smell of vinegar, an extra-extra-small Afghan piano made of plastic with a smell of citrus fruits, an extra-extra-large French cup made of glass with a smell of freshly cut grass, an extra-extra-large Russian canvas made of glass with a smell of vanilla, an extra-extra-small Chinese flower pot made of glass with a smell of wet dog, an extra-large British book made of steel with a smell of lavender, a small Japanese candle made of glass with a smell of lavender, a medium French clock made of ceramic with a smell of burning wood, an extra-extra-large Japanese sofa made of ceramic with a smell of coffee, an extra-large Afghan cup made of plastic with a smell of garlic, an extra-small Brazilian chair made of steel with a smell of lavender, an extra-large Turkish umbrella made of concrete with a smell of citrus fruits, a small Italian sunglasses made of plastic with a smell of gasoline, an extra-extra-small Spanish bag made of steel with a smell of rose, an extra-extra-small Afghan lamp made of ceramic with a smell of coffee, an extra-extra-large Turkish sofa made of ceramic with a smell of pine needles, a small Portuguese scissors made of plastic with a smell of coconut, a large Spanish dog made of steel with a smell of burning wood, a medium Italian guitar made of concrete with a smell of popcorn, a small Turkish ruler made of ceramic with a smell of coffee, a medium Spanish calculator made of concrete with a smell of popcorn, an extra-small Brazilian plate made of steel with a smell of wet dog, an extra-extra-large Spanish wallet made of concrete with a smell of rose, an extra-extra-small British canvas made of ceramic with a smell of popcorn, a medium Brazilian piano made of concrete with a smell of coffee, a medium Portuguese drill made of plastic with a smell of vinegar, an extra-small Italian saw made of steel with a smell of vanilla, an extra-extra-large Spanish flower pot made of ceramic with a smell of coconut, an extra-large British pen made of plastic with a smell of freshly cut grass, a large French candle made of concrete with a smell of chocolate, a small French flower pot made of concrete with a smell of burning wood. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 2 were blue, the next 3 were brown, the next 1 was crimson, the next 2 were cyan, the next 2 were gold, the next 1 was gray, the next 3 were green, the next 1 was indigo, the next 2 were ivory, the next 1 was khaki, the next 3 were magenta, the next 4 were maroon, the next 1 was orange, the next 3 were pink, the next 1 was red, the next 1 was turquoise, the next 2 were violet, the next 1 was white. Then, for any item of color turquoise in my collection, my mom gave me another one of the same item, but with a orange color, British origin, extra-extra-small size, citrus fruits smell, and made of steel. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 beige item(s), 2 black item(s), 2 blue item(s), 3 brown item(s), 1 crimson item(s), 2 cyan item(s), 2 gold item(s), 1 gray item(s), 3 green item(s), 1 indigo item(s), 1 khaki item(s), 3 magenta item(s), 4 maroon item(s), 2 orange item(s), 3 pink item(s), 1 red item(s), 1 turquoise item(s), 2 violet item(s), 1 white item(s). Then, for each item of size medium in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of chocolate (all other properties the same). After this, my new collection had: 6 item(s) made of plastic, 5 item(s) made of glass, 15 item(s) made of ceramic, 5 item(s) made of concrete, 6 item(s) made of steel. Then, my brother replaced any item of size extra-large in my new collection with an exact copy but with one specific size (different from extra-large) and another exact copy but with color pink. After this, my new collection had: 9 extra-extra-large item(s), 11 small item(s), 6 medium item(s), 6 extra-extra-small item(s), 3 extra-small item(s), 2 large item(s), 6 extra-large item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is brown, or size is medium, or material is steel, or smell is vanilla, or origin is Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:165", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had an extra-small French box made of ceramic with a smell of lavender, an extra-extra-small German canvas made of ceramic with a smell of burning wood, an extra-extra-large German spoon made of concrete with a smell of vinegar, a small French candle made of glass with a smell of rose, a medium French key made of plastic with a smell of popcorn, an extra-extra-small Mexican calculator made of glass with a smell of citrus fruits, a large Portuguese speaker made of ceramic with a smell of wet dog, an extra-extra-large Mexican book made of steel with a smell of coconut, a small Afghan speaker made of ceramic with a smell of lavender, a small Italian vase made of ceramic with a smell of baking bread, an extra-extra-small French ball made of ceramic with a smell of citrus fruits, an extra-extra-small Afghan screwdriver made of steel with a smell of coffee, an extra-large Canadian shirt made of steel with a smell of baking bread, a medium Afghan guitar made of plastic with a smell of coconut, an extra-large Spanish umbrella made of glass with a smell of vanilla, an extra-large Polish bird made of concrete with a smell of leather, an extra-extra-large Iranian necklace made of ceramic with a smell of coconut, a medium Mexican lamp made of glass with a smell of popcorn, an extra-small Mexican hammer made of steel with a smell of vinegar, a medium Italian brush made of steel with a smell of rose, a large British chair made of concrete with a smell of popcorn, a small French camera made of steel with a smell of coconut, a small German saw made of plastic with a smell of pine needles, a large Portuguese bowl made of plastic with a smell of chocolate, an extra-extra-small Portuguese dog made of glass with a smell of coffee, an extra-extra-small Mexican bottle made of ceramic with a smell of baking bread, an extra-large Japanese book made of steel with a smell of coconut, a large Mexican vase made of steel with a smell of leather, an extra-large Afghan ball made of concrete with a smell of burning wood, a small Japanese scissors made of plastic with a smell of vanilla, a medium French jar made of glass with a smell of coffee, a small Iranian canvas made of glass with a smell of vanilla, an extra-extra-small Brazilian bowl made of glass with a smell of rose, a large French jar made of plastic with a smell of vanilla, a large Canadian book made of ceramic with a smell of freshly cut grass. The color of the items was respectively as follows: the first 3 were beige, the next 2 were black, the next 2 were blue, the next 1 was brown, the next 2 were cyan, the next 1 was green, the next 1 was indigo, the next 1 was ivory, the next 5 were khaki, the next 1 was magenta, the next 2 were maroon, the next 1 was pink, the next 1 was purple, the next 3 were red, the next 2 were silver, the next 2 were teal, the next 2 were turquoise, the next 2 were violet, the next 1 was yellow. Then, my brother replaced any item of size medium in my collection with an exact copy but with one specific size (different from medium) and another exact copy but with color crimson. After this, my collection had: 2 extra-small item(s), 7 extra-extra-small item(s), 3 extra-extra-large item(s), 7 small item(s), 11 large item(s), 5 medium item(s), 5 extra-large item(s). Then, for any item with a smell of vanilla, baking bread, or coconut in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with lavender smell, 2 item(s) with burning wood smell, 2 item(s) with vinegar smell, 4 item(s) with rose smell, 18 item(s) with popcorn smell, 2 item(s) with citrus fruits smell, 1 item(s) with wet dog smell, 6 item(s) with coconut smell, 4 item(s) with coffee smell, 3 item(s) with baking bread smell, 4 item(s) with vanilla smell, 2 item(s) with leather smell, 1 item(s) with pine needles smell, 1 item(s) with chocolate smell, 1 item(s) with freshly cut grass smell. Then, my uncle threw away any Italian item in my new collection, but gave me two of the same item, one Polish and one Spanish (all other properties the same). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 3 beige item(s), 2 black item(s), 2 blue item(s), 2 brown item(s), 7 crimson item(s), 5 cyan item(s), 1 green item(s), 1 indigo item(s), 2 ivory item(s), 8 khaki item(s), 1 magenta item(s), 3 maroon item(s), 2 pink item(s), 1 purple item(s), 3 silver item(s), 3 teal item(s), 3 turquoise item(s), 3 violet item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-large items in my collection. In my current collection, how many items have the following attributes: color is not turquoise, size is not extra-large, material is not steel, smell is not baking bread, and origin is not Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:166", "request": "I had a collection of 37 weird items that went through a few changes. Initially, I had a medium British bag made of steel with a smell of popcorn, an extra-extra-small Russian bird made of plastic with a smell of freshly cut grass, an extra-extra-small Russian flower pot made of glass with a smell of freshly cut grass, an extra-small Afghan scissors made of ceramic with a smell of garlic, a large Brazilian house made of glass with a smell of citrus fruits, an extra-extra-small Brazilian key made of steel with a smell of citrus fruits, an extra-extra-large Russian wallet made of concrete with a smell of leather, an extra-extra-small Spanish bowl made of glass with a smell of burning wood, an extra-extra-large Mexican clock made of plastic with a smell of rose, an extra-extra-small Spanish pencil made of concrete with a smell of garlic, an extra-extra-small Iranian piano made of glass with a smell of citrus fruits, a large Portuguese shirt made of glass with a smell of chocolate, a large Japanese ball made of steel with a smell of citrus fruits, a medium Brazilian flower pot made of ceramic with a smell of vinegar, an extra-large Spanish screwdriver made of plastic with a smell of rose, an extra-extra-large Portuguese camera made of concrete with a smell of garlic, a small Canadian shirt made of steel with a smell of chocolate, a large Portuguese brush made of concrete with a smell of rose, a small Spanish shirt made of plastic with a smell of gasoline, an extra-small Afghan banana made of steel with a smell of coffee, a medium British marker made of plastic with a smell of lavender, an extra-large Brazilian canvas made of glass with a smell of popcorn, an extra-extra-small Russian saw made of plastic with a smell of coffee, an extra-small Italian apple made of ceramic with a smell of wet dog, an extra-small Polish ring made of concrete with a smell of pine needles, an extra-large Portuguese umbrella made of ceramic with a smell of burning wood, an extra-small Mexican jar made of glass with a smell of baking bread, an extra-large Japanese ring made of plastic with a smell of coffee, an extra-small Chinese book made of plastic with a smell of gasoline, a small Brazilian cup made of plastic with a smell of chocolate, an extra-extra-large French hat made of concrete with a smell of pine needles, a medium Chinese house made of steel with a smell of coconut, a large German guitar made of glass with a smell of gasoline, an extra-extra-large Chinese banana made of concrete with a smell of gasoline, an extra-extra-large British bed made of ceramic with a smell of pine needles, an extra-large Brazilian wallet made of concrete with a smell of popcorn, an extra-extra-small Japanese bicycle made of steel with a smell of coffee. The color of the items was respectively as follows: the first 2 were beige, the next 3 were black, the next 3 were blue, the next 2 were brown, the next 2 were cyan, the next 2 were gold, the next 2 were green, the next 1 was ivory, the next 2 were khaki, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 3 were purple, the next 2 were red, the next 1 was silver, the next 2 were teal, the next 2 were turquoise, the next 1 was violet, the next 1 was white, the next 3 were yellow. Then, for any item with a smell of chocolate, vanilla, or coconut in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 3 item(s) with popcorn smell, 2 item(s) with freshly cut grass smell, 3 item(s) with garlic smell, 4 item(s) with citrus fruits smell, 1 item(s) with leather smell, 2 item(s) with burning wood smell, 3 item(s) with rose smell, 3 item(s) with chocolate smell, 8 item(s) with coffee smell, 1 item(s) with vinegar smell, 4 item(s) with gasoline smell, 1 item(s) with lavender smell, 1 item(s) with wet dog smell, 3 item(s) with pine needles smell, 1 item(s) with baking bread smell, 1 item(s) with coconut smell. Then, my friend took any item with a smell of vinegar, burning wood or chocolate in my new collection and threw it away. Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to freshly cut grass. After this, my new collection had: 1 beige item(s), 3 black item(s), 2 blue item(s), 1 brown item(s), 2 cyan item(s), 1 gold item(s), 1 green item(s), 1 ivory item(s), 1 khaki item(s), 1 maroon item(s), 9 orange item(s), 1 pink item(s), 2 purple item(s), 1 red item(s), 3 turquoise item(s), 1 violet item(s), 1 white item(s), 3 yellow item(s). Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of coffee (all other properties the same). After this, my new collection had: 8 item(s) made of steel, 6 item(s) made of glass, 3 item(s) made of ceramic, 11 item(s) made of concrete, 7 item(s) made of plastic. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is beige, or size is large, or material is ceramic, or smell is leather, or origin is Polish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:167", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had a small Canadian umbrella made of concrete with a smell of garlic, an extra-large Spanish saw made of glass with a smell of wet dog, a small Polish shoe made of plastic with a smell of vinegar, an extra-large Japanese guitar made of ceramic with a smell of gasoline, an extra-extra-small Turkish hat made of ceramic with a smell of gasoline, an extra-extra-large Turkish stapler made of concrete with a smell of garlic, a medium Canadian book made of concrete with a smell of pine needles, a large Chinese wallet made of steel with a smell of wet dog, a large Turkish trash can made of glass with a smell of baking bread, an extra-large Spanish guitar made of concrete with a smell of rose, a large Iranian box made of concrete with a smell of freshly cut grass, an extra-extra-large Polish house made of plastic with a smell of vanilla, an extra-large Chinese candle made of ceramic with a smell of chocolate, an extra-extra-large Canadian clock made of ceramic with a smell of gasoline, a small Iranian piano made of ceramic with a smell of citrus fruits, an extra-small French ruler made of concrete with a smell of burning wood, a medium Afghan clock made of plastic with a smell of coconut, a small Mexican wrench made of ceramic with a smell of wet dog, a small Brazilian trash can made of ceramic with a smell of gasoline, an extra-extra-large Portuguese guitar made of ceramic with a smell of vinegar, a medium British banana made of ceramic with a smell of citrus fruits, a large Italian ring made of steel with a smell of vanilla, a medium French brush made of glass with a smell of citrus fruits, an extra-extra-small Spanish bottle made of glass with a smell of baking bread, an extra-small Russian screwdriver made of concrete with a smell of garlic, an extra-large German guitar made of ceramic with a smell of rose, an extra-large Japanese wrench made of ceramic with a smell of coconut, an extra-extra-large French earring made of concrete with a smell of burning wood, a medium Polish hat made of glass with a smell of garlic, an extra-extra-large Iranian pencil made of plastic with a smell of garlic, a small Iranian vase made of ceramic with a smell of burning wood, an extra-small French cup made of ceramic with a smell of citrus fruits, an extra-large Iranian piano made of ceramic with a smell of vanilla. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 2 were blue, the next 1 was brown, the next 4 were crimson, the next 1 was cyan, the next 1 was gold, the next 4 were gray, the next 2 were indigo, the next 1 was ivory, the next 1 was khaki, the next 1 was magenta, the next 2 were pink, the next 3 were purple, the next 4 were teal, the next 2 were turquoise, the next 1 was white. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item of color beige in my new collection, my mom gave me another one of the same item, but with a gold color, British origin, medium size, vinegar smell, and made of glass. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to leather. After this, my new collection had: 1 beige item(s), 1 crimson item(s), 1 cyan item(s), 1 gold item(s), 1 gray item(s), 2 pink item(s), 1 purple item(s), 1 teal item(s), 2 turquoise item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not cyan, size is not extra-extra-large, material is not steel, smell is not citrus fruits, and origin is not Canadian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:170", "request": "I had a collection of 39 weird items that went through a few changes. Initially, I had an extra-extra-small Italian bag made of glass with a smell of leather, an extra-extra-large Polish house made of glass with a smell of gasoline, an extra-small Italian shirt made of steel with a smell of popcorn, a large Canadian marker made of ceramic with a smell of gasoline, an extra-large Japanese house made of steel with a smell of burning wood, a medium Afghan ball made of steel with a smell of chocolate, an extra-extra-large Japanese canvas made of plastic with a smell of coffee, an extra-large French clock made of ceramic with a smell of gasoline, a medium Spanish saw made of plastic with a smell of vinegar, an extra-extra-small German vase made of concrete with a smell of garlic, an extra-extra-large Spanish bird made of ceramic with a smell of vanilla, an extra-extra-small Russian stapler made of steel with a smell of freshly cut grass, an extra-extra-large Russian knife made of glass with a smell of coffee, a large Iranian drill made of steel with a smell of freshly cut grass, a small Portuguese sofa made of plastic with a smell of lavender, an extra-extra-small Portuguese shirt made of ceramic with a smell of gasoline, a small Iranian trash can made of concrete with a smell of rose, an extra-extra-small French apple made of concrete with a smell of rose, an extra-small Afghan trash can made of glass with a smell of coffee, an extra-extra-small Italian car made of glass with a smell of pine needles, a small French pen made of glass with a smell of chocolate, an extra-extra-large British shirt made of ceramic with a smell of citrus fruits, an extra-extra-large Spanish bird made of plastic with a smell of freshly cut grass, an extra-extra-small Canadian piano made of concrete with a smell of burning wood, an extra-large Japanese bed made of steel with a smell of coffee, an extra-large Chinese canvas made of steel with a smell of rose, an extra-large Mexican dog made of concrete with a smell of garlic, an extra-extra-large Chinese dog made of ceramic with a smell of coconut, an extra-large Brazilian bicycle made of glass with a smell of leather, an extra-small British trash can made of ceramic with a smell of pine needles, a medium Italian calculator made of ceramic with a smell of leather, an extra-extra-large Afghan apple made of steel with a smell of rose, an extra-extra-large Italian pencil made of glass with a smell of citrus fruits, a large Turkish bird made of plastic with a smell of garlic, a large Chinese brush made of plastic with a smell of pine needles, a small Spanish vase made of ceramic with a smell of chocolate, an extra-small Iranian chair made of glass with a smell of baking bread, a medium Brazilian speaker made of concrete with a smell of leather, an extra-large Brazilian bottle made of ceramic with a smell of freshly cut grass. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 3 were blue, the next 1 was brown, the next 2 were crimson, the next 2 were cyan, the next 2 were gold, the next 1 was gray, the next 2 were green, the next 1 was khaki, the next 1 was maroon, the next 2 were orange, the next 1 was pink, the next 1 was purple, the next 2 were red, the next 1 was silver, the next 2 were teal, the next 2 were turquoise, the next 3 were violet, the next 3 were white, the next 3 were yellow. Then, my friend took any item with a smell of leather, baking bread or gasoline in my collection and threw it away. Then, my uncle threw away any Turkish item in my new collection, but gave me two of the same item, one Russian and one German (all other properties the same). Then, for any item of color turquoise in my new collection, my mom gave me another one of the same item, but with a pink color, Russian origin, extra-large size, vinegar smell, and made of concrete. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 black item(s), 3 blue item(s), 2 crimson item(s), 2 cyan item(s), 2 gold item(s), 1 gray item(s), 1 green item(s), 1 khaki item(s), 1 maroon item(s), 2 orange item(s), 2 pink item(s), 1 purple item(s), 2 red item(s), 1 silver item(s), 1 turquoise item(s), 2 violet item(s), 4 white item(s), 1 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is purple, or size is medium, or material is concrete, or smell is coffee, or origin is French? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:175", "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had a medium Canadian hat made of plastic with a smell of wet dog, an extra-large Iranian book made of plastic with a smell of vinegar, an extra-extra-large Brazilian bird made of glass with a smell of baking bread, an extra-extra-small Afghan car made of concrete with a smell of pine needles, an extra-large British sunglasses made of plastic with a smell of pine needles, a medium Russian wrench made of glass with a smell of gasoline, a small Japanese wrench made of glass with a smell of coffee, an extra-extra-small German pen made of plastic with a smell of gasoline, an extra-extra-large Turkish dog made of glass with a smell of vinegar, an extra-large Japanese hat made of steel with a smell of coffee, an extra-extra-large Chinese chair made of plastic with a smell of burning wood, a large Brazilian shirt made of ceramic with a smell of citrus fruits, an extra-extra-large Turkish umbrella made of ceramic with a smell of chocolate, a large Brazilian canvas made of plastic with a smell of wet dog, a medium Russian earring made of ceramic with a smell of gasoline, a medium Afghan plate made of concrete with a smell of citrus fruits, an extra-small Chinese dog made of concrete with a smell of lavender, an extra-extra-large Japanese bottle made of glass with a smell of burning wood, an extra-small Chinese brush made of ceramic with a smell of freshly cut grass, an extra-small Canadian dog made of concrete with a smell of citrus fruits, a large Canadian banana made of ceramic with a smell of garlic, a medium Portuguese hammer made of ceramic with a smell of rose, an extra-extra-small French sunglasses made of glass with a smell of popcorn, an extra-extra-small Portuguese banana made of concrete with a smell of burning wood, a medium French lamp made of ceramic with a smell of garlic, a medium British canvas made of plastic with a smell of wet dog, a medium Chinese brush made of steel with a smell of rose, an extra-small Afghan lamp made of glass with a smell of vinegar, a medium British canvas made of plastic with a smell of popcorn, a large Russian marker made of concrete with a smell of baking bread, an extra-extra-small Iranian chair made of plastic with a smell of freshly cut grass, an extra-extra-large Russian piano made of glass with a smell of popcorn, a large Turkish bowl made of concrete with a smell of rose, an extra-large Polish calculator made of steel with a smell of rose, a medium Iranian flower pot made of ceramic with a smell of coconut, a large Russian key made of concrete with a smell of lavender, a large Italian brush made of ceramic with a smell of garlic, a small French bowl made of steel with a smell of citrus fruits. The color of the items was respectively as follows: the first 1 was beige, the next 2 were blue, the next 3 were brown, the next 4 were crimson, the next 1 was cyan, the next 2 were gold, the next 2 were gray, the next 3 were indigo, the next 2 were ivory, the next 1 was khaki, the next 1 was magenta, the next 3 were maroon, the next 1 was orange, the next 2 were pink, the next 1 was purple, the next 3 were red, the next 2 were silver, the next 2 were teal, the next 1 was turquoise, the next 1 was white. Then, my friend took any item with a smell of vinegar, coconut or popcorn in my collection and threw it away. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item of color teal in my new collection, my mom gave me another one of the same item, but with a silver color, Chinese origin, extra-small size, lavender smell, and made of steel. Then, my brother replaced any item of size large in my new collection with an exact copy but with one specific size (different from large) and another exact copy but with color khaki. After this, my new collection had: 2 extra-extra-small item(s), 2 extra-large item(s), 2 extra-extra-large item(s), 8 extra-small item(s), 4 medium item(s), 4 large item(s), 1 small item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: color is not cyan, size is not small, material is not ceramic, smell is not coffee, and origin is not Iranian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:177", "request": "I had a collection of 38 weird items that went through a few changes. Initially, I had a small Italian piano made of plastic with a smell of vinegar, a small Polish dog made of steel with a smell of rose, an extra-small Canadian bowl made of steel with a smell of leather, an extra-extra-small German book made of glass with a smell of coconut, an extra-extra-large Brazilian hat made of concrete with a smell of popcorn, a large Turkish guitar made of glass with a smell of rose, an extra-large Turkish book made of ceramic with a smell of baking bread, an extra-extra-large Chinese banana made of ceramic with a smell of rose, a large Turkish bed made of ceramic with a smell of burning wood, an extra-large Canadian bed made of glass with a smell of coffee, an extra-extra-large Polish house made of ceramic with a smell of citrus fruits, an extra-extra-large Russian bottle made of plastic with a smell of leather, a small Italian clock made of steel with a smell of citrus fruits, a small Iranian book made of steel with a smell of pine needles, an extra-small Chinese lamp made of plastic with a smell of coffee, a medium German plate made of concrete with a smell of vanilla, a medium Turkish bicycle made of concrete with a smell of citrus fruits, a medium Spanish pen made of glass with a smell of citrus fruits, an extra-extra-large Afghan bag made of steel with a smell of rose, an extra-large Iranian ring made of concrete with a smell of vanilla, a medium Brazilian pencil made of steel with a smell of coconut, an extra-extra-small Polish marker made of ceramic with a smell of garlic, a large Afghan house made of concrete with a smell of wet dog, an extra-large Iranian plier made of concrete with a smell of burning wood, an extra-extra-small Turkish bicycle made of concrete with a smell of leather, a large British hat made of ceramic with a smell of chocolate, an extra-large Canadian banana made of glass with a smell of burning wood, a large Mexican candle made of steel with a smell of garlic, an extra-extra-large Russian cup made of plastic with a smell of wet dog, a medium Brazilian wallet made of ceramic with a smell of popcorn, an extra-extra-small Canadian watch made of ceramic with a smell of popcorn, a large French pen made of plastic with a smell of garlic, a medium Polish knife made of glass with a smell of lavender, a medium Spanish hat made of steel with a smell of coconut, an extra-extra-small Brazilian hat made of glass with a smell of wet dog, an extra-small Japanese ball made of steel with a smell of baking bread, an extra-large Mexican bag made of ceramic with a smell of coconut, an extra-extra-small Canadian vase made of steel with a smell of freshly cut grass. The color of the items was respectively as follows: the first 4 were beige, the next 1 was black, the next 2 were blue, the next 2 were brown, the next 1 was crimson, the next 1 was cyan, the next 2 were gold, the next 4 were gray, the next 2 were green, the next 2 were ivory, the next 3 were khaki, the next 1 was magenta, the next 1 was maroon, the next 2 were orange, the next 1 was pink, the next 1 was purple, the next 2 were red, the next 2 were silver, the next 1 was teal, the next 2 were white, the next 1 was yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 4 beige item(s), 1 black item(s), 2 blue item(s), 2 brown item(s), 1 crimson item(s), 1 cyan item(s), 2 gold item(s), 4 gray item(s), 2 ivory item(s), 3 khaki item(s), 1 magenta item(s), 1 maroon item(s), 2 orange item(s), 1 pink item(s), 1 purple item(s), 2 red item(s), 2 silver item(s), 1 teal item(s), 2 white item(s), 1 yellow item(s). Then, my brother replaced any item of size extra-extra-small in my new collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color purple. After this, my new collection had: 4 small item(s), 3 extra-small item(s), 11 extra-extra-large item(s), 6 large item(s), 6 extra-large item(s), 6 medium item(s), 6 extra-extra-small item(s). Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to vinegar. After this, my new collection had: 3 beige item(s), 1 black item(s), 1 blue item(s), 2 brown item(s), 9 cyan item(s), 2 gold item(s), 4 gray item(s), 2 ivory item(s), 3 khaki item(s), 1 magenta item(s), 1 maroon item(s), 1 orange item(s), 1 pink item(s), 5 purple item(s), 2 red item(s), 1 silver item(s), 2 white item(s), 1 yellow item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not gold, size is not extra-extra-large, material is not glass, smell is not vanilla, and origin is not Brazilian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:178", "request": "I had a collection of 39 weird items that went through a few changes. Initially, I had a medium Mexican book made of ceramic with a smell of chocolate, a large Polish book made of ceramic with a smell of citrus fruits, an extra-large Iranian earring made of ceramic with a smell of coconut, a medium Iranian apple made of steel with a smell of garlic, a medium Spanish table made of concrete with a smell of garlic, a small Turkish fork made of steel with a smell of coffee, an extra-large Portuguese necklace made of ceramic with a smell of pine needles, an extra-extra-large Canadian plier made of concrete with a smell of leather, an extra-extra-small Brazilian sofa made of glass with a smell of popcorn, an extra-large Canadian piano made of glass with a smell of popcorn, an extra-extra-small Iranian ruler made of plastic with a smell of popcorn, an extra-extra-small German pen made of steel with a smell of freshly cut grass, an extra-extra-small Chinese bottle made of steel with a smell of rose, an extra-large Afghan bicycle made of concrete with a smell of gasoline, a medium Turkish banana made of steel with a smell of vinegar, a medium Chinese box made of steel with a smell of wet dog, a large Japanese hammer made of glass with a smell of coconut, an extra-large Portuguese fork made of plastic with a smell of coffee, an extra-extra-small Polish hammer made of concrete with a smell of garlic, an extra-small Chinese piano made of glass with a smell of pine needles, a medium Russian drill made of glass with a smell of gasoline, a medium Polish wrench made of plastic with a smell of vinegar, an extra-extra-large French speaker made of steel with a smell of leather, an extra-extra-large Turkish house made of concrete with a smell of garlic, a small Italian wallet made of plastic with a smell of coffee, a small Russian shoe made of concrete with a smell of pine needles, a small Turkish key made of glass with a smell of coffee, an extra-large Polish necklace made of plastic with a smell of burning wood, an extra-extra-small Spanish scissors made of ceramic with a smell of freshly cut grass, a large Turkish brush made of plastic with a smell of pine needles, an extra-extra-large Canadian canvas made of ceramic with a smell of vanilla, an extra-large Canadian guitar made of glass with a smell of leather, a small Italian scissors made of ceramic with a smell of baking bread, an extra-small Japanese plier made of steel with a smell of leather, an extra-small Turkish bag made of plastic with a smell of baking bread, an extra-extra-large German shoe made of ceramic with a smell of lavender, a large Brazilian sunglasses made of steel with a smell of vanilla, a medium Portuguese sofa made of steel with a smell of baking bread, a small Polish bed made of concrete with a smell of chocolate. The color of the items was respectively as follows: the first 2 were black, the next 2 were crimson, the next 4 were cyan, the next 2 were gold, the next 2 were gray, the next 3 were green, the next 2 were indigo, the next 1 was ivory, the next 2 were khaki, the next 1 was magenta, the next 4 were pink, the next 1 was purple, the next 4 were red, the next 2 were silver, the next 3 were teal, the next 1 was turquoise, the next 2 were violet, the next 1 was white. Then, for any item with a smell of lavender, garlic, or pine needles in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 2 item(s) with chocolate smell, 1 item(s) with citrus fruits smell, 2 item(s) with coconut smell, 4 item(s) with garlic smell, 11 item(s) with freshly cut grass smell, 4 item(s) with coffee smell, 4 item(s) with pine needles smell, 4 item(s) with leather smell, 3 item(s) with popcorn smell, 1 item(s) with rose smell, 2 item(s) with gasoline smell, 2 item(s) with vinegar smell, 1 item(s) with wet dog smell, 1 item(s) with burning wood smell, 2 item(s) with vanilla smell, 3 item(s) with baking bread smell, 1 item(s) with lavender smell. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 black item(s), 3 crimson item(s), 6 cyan item(s), 2 gold item(s), 2 gray item(s), 3 green item(s), 2 indigo item(s), 1 ivory item(s), 1 magenta item(s), 5 pink item(s), 2 purple item(s), 5 red item(s), 2 silver item(s), 3 teal item(s), 2 turquoise item(s), 2 violet item(s), 1 white item(s). Then, my uncle threw away any German item in my new collection, but gave me two of the same item, one Afghan and one Mexican (all other properties the same). Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to chocolate. After this, my new collection had: 2 black item(s), 3 crimson item(s), 6 cyan item(s), 2 gold item(s), 2 gray item(s), 3 green item(s), 2 indigo item(s), 1 magenta item(s), 3 pink item(s), 2 purple item(s), 2 red item(s), 2 silver item(s), 2 teal item(s), 4 turquoise item(s), 2 violet item(s), 9 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: either color is indigo, or size is small, or material is concrete, or smell is baking bread, or origin is Iranian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:180", "request": "I had a collection of 45 weird items that went through a few changes. Initially, I had an extra-small Japanese chair made of steel with a smell of chocolate, a large Japanese sofa made of glass with a smell of vinegar, an extra-large Italian speaker made of glass with a smell of popcorn, a small French candle made of plastic with a smell of leather, an extra-small Chinese canvas made of steel with a smell of chocolate, an extra-small Polish bed made of plastic with a smell of freshly cut grass, an extra-small Spanish saw made of steel with a smell of citrus fruits, a medium Iranian chair made of ceramic with a smell of citrus fruits, an extra-extra-large Russian plier made of concrete with a smell of rose, an extra-extra-small German bicycle made of concrete with a smell of burning wood, an extra-extra-small German ruler made of steel with a smell of popcorn, a small British car made of glass with a smell of baking bread, a medium Afghan book made of steel with a smell of garlic, an extra-large Turkish piano made of ceramic with a smell of vinegar, an extra-extra-large Russian shoe made of plastic with a smell of vinegar, a small Portuguese necklace made of steel with a smell of wet dog, an extra-extra-small Polish house made of glass with a smell of garlic, an extra-small Spanish camera made of plastic with a smell of rose, an extra-extra-large Russian key made of ceramic with a smell of coconut, an extra-extra-large French shoe made of glass with a smell of leather, a large Brazilian lamp made of steel with a smell of wet dog, a large Spanish book made of glass with a smell of coconut, an extra-extra-small Brazilian calculator made of ceramic with a smell of wet dog, an extra-extra-large Iranian pen made of glass with a smell of coffee, an extra-small Turkish necklace made of steel with a smell of leather, an extra-small Italian jar made of steel with a smell of wet dog, a medium Chinese camera made of glass with a smell of rose, an extra-extra-small Japanese earring made of ceramic with a smell of wet dog, a medium French sofa made of plastic with a smell of citrus fruits, an extra-large Portuguese camera made of ceramic with a smell of coconut, an extra-large Polish key made of steel with a smell of lavender, a large British guitar made of glass with a smell of chocolate, an extra-extra-large Mexican cup made of steel with a smell of chocolate, an extra-extra-large Afghan bird made of steel with a smell of popcorn, a large Russian sofa made of plastic with a smell of chocolate, a medium Canadian screwdriver made of ceramic with a smell of wet dog, a large Canadian hat made of ceramic with a smell of vinegar, an extra-extra-large Brazilian bed made of glass with a smell of rose, an extra-large Portuguese spoon made of glass with a smell of lavender, a medium Afghan house made of ceramic with a smell of baking bread, a large Japanese key made of ceramic with a smell of chocolate, an extra-extra-large Polish shoe made of plastic with a smell of vanilla, an extra-large Afghan plate made of steel with a smell of garlic, a large Afghan dog made of steel with a smell of garlic, a medium Italian flower pot made of concrete with a smell of vanilla. The color of the items was respectively as follows: the first 3 were beige, the next 5 were black, the next 2 were blue, the next 1 was brown, the next 1 was crimson, the next 4 were cyan, the next 3 were gold, the next 1 was gray, the next 2 were green, the next 2 were ivory, the next 1 was khaki, the next 1 was magenta, the next 2 were maroon, the next 4 were orange, the next 3 were purple, the next 2 were red, the next 1 was silver, the next 1 was turquoise, the next 1 was violet, the next 4 were white, the next 1 was yellow. Then, my teacher took any item from my collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to pine needles. After this, my new collection had: 2 crimson item(s), 4 cyan item(s), 2 gold item(s), 1 gray item(s), 2 green item(s), 2 ivory item(s), 1 khaki item(s), 1 magenta item(s), 1 maroon item(s), 2 orange item(s), 3 purple item(s), 2 red item(s), 1 silver item(s), 1 turquoise item(s), 1 violet item(s), 4 white item(s). Then, for any item of color turquoise in my new collection, my mom gave me another one of the same item, but with a maroon color, Brazilian origin, small size, rose smell, and made of ceramic. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 2 crimson item(s), 4 cyan item(s), 2 gold item(s), 2 green item(s), 2 ivory item(s), 1 khaki item(s), 1 magenta item(s), 2 maroon item(s), 2 orange item(s), 3 purple item(s), 2 red item(s), 1 silver item(s), 1 turquoise item(s), 1 violet item(s), 4 white item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-small items in my collection. In my current collection, how many items have the following attributes: either color is violet, or size is extra-extra-small, or material is steel, or smell is garlic, or origin is Afghan? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:182", "request": "I had a collection of 46 weird items that went through a few changes. Initially, I had a small Italian dog made of plastic with a smell of chocolate, an extra-extra-small Brazilian bird made of plastic with a smell of citrus fruits, an extra-extra-large Japanese screwdriver made of glass with a smell of baking bread, an extra-small Mexican speaker made of ceramic with a smell of burning wood, a small Mexican sofa made of plastic with a smell of pine needles, an extra-extra-large Afghan hat made of ceramic with a smell of leather, a small Mexican bed made of glass with a smell of lavender, a small Turkish clock made of concrete with a smell of freshly cut grass, an extra-extra-small Chinese hat made of plastic with a smell of vanilla, an extra-small Brazilian car made of glass with a smell of popcorn, an extra-extra-small Afghan umbrella made of concrete with a smell of baking bread, an extra-extra-small French key made of steel with a smell of popcorn, a large Canadian pencil made of glass with a smell of garlic, an extra-large Canadian earring made of concrete with a smell of garlic, an extra-extra-large Portuguese candle made of concrete with a smell of popcorn, an extra-extra-large British bicycle made of glass with a smell of coconut, an extra-large British knife made of glass with a smell of freshly cut grass, a large Brazilian ball made of steel with a smell of pine needles, an extra-extra-small Portuguese canvas made of steel with a smell of vanilla, an extra-small Mexican key made of plastic with a smell of chocolate, a small British ball made of ceramic with a smell of garlic, a medium Turkish brush made of ceramic with a smell of vanilla, an extra-large Canadian vase made of steel with a smell of garlic, a large French plate made of ceramic with a smell of burning wood, an extra-extra-small British car made of steel with a smell of rose, a small Canadian spoon made of concrete with a smell of coconut, a small Mexican apple made of concrete with a smell of rose, a medium Italian bottle made of concrete with a smell of baking bread, a small British candle made of ceramic with a smell of freshly cut grass, an extra-large Chinese bowl made of ceramic with a smell of popcorn, an extra-extra-small Chinese pencil made of concrete with a smell of leather, an extra-large Brazilian piano made of plastic with a smell of coconut, an extra-extra-large Afghan hammer made of steel with a smell of vanilla, an extra-small Russian trash can made of ceramic with a smell of vanilla, an extra-extra-large Spanish candle made of concrete with a smell of vinegar, a medium Turkish shoe made of steel with a smell of chocolate, a large Mexican bird made of concrete with a smell of baking bread, a medium Iranian watch made of ceramic with a smell of vinegar, a small Mexican bicycle made of steel with a smell of chocolate, a medium Japanese chair made of ceramic with a smell of baking bread, a large British ball made of plastic with a smell of wet dog, an extra-extra-large Japanese necklace made of ceramic with a smell of burning wood, an extra-large Italian clock made of steel with a smell of vinegar, an extra-extra-large Canadian marker made of plastic with a smell of citrus fruits, an extra-large Japanese candle made of plastic with a smell of coffee, an extra-large Brazilian earring made of ceramic with a smell of lavender. The color of the items was respectively as follows: the first 1 was beige, the next 2 were black, the next 2 were blue, the next 2 were brown, the next 2 were crimson, the next 3 were cyan, the next 4 were gray, the next 1 was green, the next 1 was indigo, the next 3 were ivory, the next 1 was khaki, the next 3 were magenta, the next 2 were maroon, the next 4 were orange, the next 1 was pink, the next 1 was purple, the next 2 were silver, the next 2 were turquoise, the next 2 were violet, the next 4 were white, the next 3 were yellow. Then, for each item of size extra-large in my collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of garlic (all other properties the same). After this, my collection had: 7 item(s) made of plastic, 5 item(s) made of glass, 10 item(s) made of ceramic, 9 item(s) made of concrete, 15 item(s) made of steel. Then, for any item with a smell of lavender, coconut, or freshly cut grass in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 4 item(s) with chocolate smell, 2 item(s) with citrus fruits smell, 5 item(s) with baking bread smell, 3 item(s) with burning wood smell, 2 item(s) with pine needles smell, 2 item(s) with leather smell, 1 item(s) with lavender smell, 15 item(s) with garlic smell, 2 item(s) with freshly cut grass smell, 5 item(s) with vanilla smell, 3 item(s) with popcorn smell, 2 item(s) with coconut smell, 2 item(s) with rose smell, 2 item(s) with vinegar smell, 1 item(s) with wet dog smell. Then, my uncle threw away any Canadian item in my new collection, but gave me two of the same item, one French and one Japanese (all other properties the same). Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to coconut. After this, my new collection had: 1 beige item(s), 1 black item(s), 2 blue item(s), 9 brown item(s), 3 crimson item(s), 2 cyan item(s), 3 gray item(s), 1 green item(s), 1 indigo item(s), 3 ivory item(s), 1 khaki item(s), 4 magenta item(s), 5 maroon item(s), 5 orange item(s), 1 pink item(s), 1 purple item(s), 2 silver item(s), 2 turquoise item(s), 2 violet item(s), 4 white item(s), 4 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: either color is green, or size is extra-small, or material is concrete, or smell is citrus fruits, or origin is Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:183", "request": "I had a collection of 46 weird items that went through a few changes. Initially, I had a large Iranian piano made of steel with a smell of rose, an extra-extra-small Mexican ring made of glass with a smell of coconut, a small Brazilian plate made of plastic with a smell of wet dog, a medium Polish car made of concrete with a smell of popcorn, an extra-large British bed made of plastic with a smell of vinegar, a small Russian bottle made of glass with a smell of citrus fruits, an extra-large Afghan screwdriver made of concrete with a smell of chocolate, a medium Chinese speaker made of plastic with a smell of leather, an extra-extra-small Mexican brush made of steel with a smell of leather, a medium Russian car made of steel with a smell of rose, an extra-small French ball made of steel with a smell of lavender, a medium Turkish saw made of concrete with a smell of popcorn, an extra-large Japanese camera made of ceramic with a smell of rose, an extra-extra-small Afghan scissors made of plastic with a smell of popcorn, a medium Mexican plate made of steel with a smell of gasoline, an extra-large Russian fork made of ceramic with a smell of rose, a small Afghan scissors made of plastic with a smell of garlic, a medium German hammer made of glass with a smell of coconut, a large Mexican bottle made of ceramic with a smell of coconut, a small Portuguese clock made of plastic with a smell of rose, a large Japanese plate made of steel with a smell of lavender, a large Iranian jar made of plastic with a smell of rose, an extra-small German wrench made of ceramic with a smell of gasoline, a large Mexican vase made of plastic with a smell of freshly cut grass, an extra-extra-large Japanese banana made of glass with a smell of vinegar, an extra-large Polish watch made of steel with a smell of coffee, a small Mexican watch made of ceramic with a smell of lavender, a medium Spanish car made of plastic with a smell of popcorn, a small Brazilian shoe made of ceramic with a smell of citrus fruits, a small Spanish wallet made of glass with a smell of freshly cut grass, an extra-small Italian table made of glass with a smell of garlic, a large German candle made of ceramic with a smell of citrus fruits, an extra-small British box made of plastic with a smell of gasoline, an extra-small Canadian bottle made of concrete with a smell of popcorn, a small Brazilian trash can made of ceramic with a smell of popcorn, a small Turkish plier made of plastic with a smell of vanilla, a medium Chinese ball made of concrete with a smell of rose, a medium Iranian box made of concrete with a smell of citrus fruits, an extra-large French brush made of steel with a smell of burning wood, an extra-extra-large British drill made of concrete with a smell of vanilla, an extra-small Afghan stapler made of plastic with a smell of popcorn, an extra-extra-large Brazilian drill made of ceramic with a smell of vanilla, an extra-extra-small Chinese dog made of steel with a smell of freshly cut grass, an extra-extra-large Japanese bottle made of plastic with a smell of lavender, an extra-small Italian candle made of concrete with a smell of lavender, an extra-extra-small Chinese table made of concrete with a smell of citrus fruits. The color of the items was respectively as follows: the first 1 was black, the next 2 were blue, the next 3 were brown, the next 1 was crimson, the next 1 was cyan, the next 1 was gold, the next 3 were gray, the next 5 were green, the next 4 were indigo, the next 1 was ivory, the next 1 was khaki, the next 1 was magenta, the next 2 were maroon, the next 2 were orange, the next 1 was pink, the next 6 were red, the next 1 was teal, the next 1 was turquoise, the next 4 were violet, the next 2 were white, the next 3 were yellow. Then, my friend took any item with a smell of gasoline, burning wood or chocolate in my collection and threw it away. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for any item with a smell of burning wood, freshly cut grass, or gasoline in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 2 item(s) with leather smell, 5 item(s) with popcorn smell, 3 item(s) with rose smell, 1 item(s) with lavender smell, 2 item(s) with freshly cut grass smell, 2 item(s) with citrus fruits smell, 1 item(s) with vanilla smell. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: color is not violet, size is not small, material is not concrete, smell is not vanilla, and origin is not Portuguese? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:184", "request": "I had a collection of 35 weird items that went through a few changes. Initially, I had a medium Canadian wrench made of plastic with a smell of burning wood, a medium Portuguese hammer made of ceramic with a smell of citrus fruits, a small Japanese drill made of plastic with a smell of vanilla, an extra-large Chinese sofa made of steel with a smell of pine needles, a large Mexican bag made of glass with a smell of coffee, an extra-large Portuguese book made of concrete with a smell of freshly cut grass, an extra-small Japanese ball made of plastic with a smell of baking bread, a small Portuguese book made of plastic with a smell of gasoline, a medium Polish vase made of ceramic with a smell of baking bread, a large Polish clock made of steel with a smell of wet dog, an extra-extra-small Iranian plate made of steel with a smell of vanilla, a large Afghan spoon made of ceramic with a smell of vanilla, a large Turkish key made of steel with a smell of citrus fruits, an extra-extra-small Japanese pen made of glass with a smell of popcorn, an extra-extra-large Mexican banana made of ceramic with a smell of freshly cut grass, a large Brazilian sunglasses made of plastic with a smell of garlic, an extra-extra-large Turkish scissors made of plastic with a smell of coffee, an extra-extra-large Mexican apple made of concrete with a smell of baking bread, a small Brazilian earring made of plastic with a smell of lavender, an extra-small Afghan book made of plastic with a smell of garlic, an extra-extra-large British candle made of glass with a smell of pine needles, an extra-extra-small Italian speaker made of ceramic with a smell of gasoline, an extra-extra-large British trash can made of concrete with a smell of coconut, an extra-large Iranian bag made of concrete with a smell of popcorn, an extra-extra-large Turkish guitar made of plastic with a smell of wet dog, a medium Iranian calculator made of steel with a smell of vanilla, an extra-extra-large Chinese necklace made of glass with a smell of rose, an extra-extra-large Canadian hammer made of plastic with a smell of chocolate, an extra-extra-small Afghan trash can made of glass with a smell of freshly cut grass, a medium Mexican earring made of concrete with a smell of leather, an extra-small German car made of ceramic with a smell of vinegar, a medium Polish wallet made of plastic with a smell of freshly cut grass, an extra-extra-small Afghan stapler made of glass with a smell of leather, a medium Iranian key made of concrete with a smell of baking bread, an extra-extra-small Japanese earring made of steel with a smell of citrus fruits. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 3 were brown, the next 3 were crimson, the next 1 was cyan, the next 1 was gold, the next 1 was gray, the next 3 were green, the next 1 was indigo, the next 1 was ivory, the next 3 were magenta, the next 4 were orange, the next 2 were pink, the next 2 were red, the next 1 was silver, the next 1 was turquoise, the next 1 was white, the next 3 were yellow. Then, my friend took any item with a smell of leather, wet dog or garlic in my collection and threw it away. Then, my uncle threw away any Turkish item in my new collection, but gave me two of the same item, one Italian and one Chinese (all other properties the same). Then, for any item of color yellow in my new collection, my mom gave me another one of the same item, but with a gray color, Afghan origin, small size, citrus fruits smell, and made of glass. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: either color is yellow, or size is extra-extra-large, or material is plastic, or smell is gasoline, or origin is Iranian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:185", "request": "I had a collection of 30 weird items that went through a few changes. Initially, I had a small Canadian candle made of glass with a smell of rose, an extra-extra-large British watch made of glass with a smell of garlic, a medium Canadian chair made of ceramic with a smell of leather, a large French spoon made of glass with a smell of popcorn, an extra-large Brazilian scissors made of ceramic with a smell of leather, a large Portuguese apple made of glass with a smell of coconut, an extra-large Italian ball made of concrete with a smell of citrus fruits, an extra-extra-small Russian bicycle made of plastic with a smell of baking bread, a medium Japanese flower pot made of ceramic with a smell of garlic, an extra-extra-small Portuguese sunglasses made of concrete with a smell of pine needles, a large German marker made of ceramic with a smell of coffee, a small Spanish spoon made of glass with a smell of burning wood, an extra-small Chinese wallet made of plastic with a smell of leather, an extra-small Chinese ball made of concrete with a smell of baking bread, an extra-extra-small Russian umbrella made of ceramic with a smell of citrus fruits, a large French cup made of plastic with a smell of citrus fruits, a medium Polish shirt made of concrete with a smell of pine needles, a large Canadian shirt made of glass with a smell of coffee, a small Iranian box made of glass with a smell of lavender, a small Brazilian knife made of steel with a smell of burning wood, a large Iranian apple made of plastic with a smell of baking bread, an extra-extra-small Polish umbrella made of steel with a smell of lavender, an extra-small Polish house made of plastic with a smell of wet dog, a large Japanese bowl made of steel with a smell of wet dog, an extra-large Japanese bicycle made of ceramic with a smell of citrus fruits, a small Spanish knife made of steel with a smell of lavender, an extra-large Polish fork made of concrete with a smell of lavender, a small Brazilian car made of concrete with a smell of coconut, an extra-extra-large French guitar made of glass with a smell of lavender, an extra-extra-large French pencil made of steel with a smell of popcorn. The color of the items was respectively as follows: the first 2 were blue, the next 1 was brown, the next 1 was cyan, the next 1 was gray, the next 1 was green, the next 1 was indigo, the next 2 were khaki, the next 2 were magenta, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 2 were purple, the next 3 were red, the next 2 were silver, the next 3 were teal, the next 3 were turquoise, the next 3 were violet. Then, my uncle threw away any Iranian item in my collection, but gave me two of the same item, one Brazilian and one Portuguese (all other properties the same). Then, my friend took any item with a smell of coffee, popcorn or baking bread in my new collection and threw it away. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my brother replaced any item of size medium in my new collection with an exact copy but with one specific size (different from medium) and another exact copy but with color maroon. After this, my new collection had: 6 small item(s), 2 extra-extra-large item(s), 4 extra-large item(s), 3 large item(s), 1 extra-extra-small item(s), 3 medium item(s), 2 extra-small item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-extra-large items in my collection. In my current collection, how many items have the following attributes: color is not magenta, size is not extra-extra-large, material is not glass, smell is not leather, and origin is not Spanish? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:186", "request": "I had a collection of 30 weird items that went through a few changes. Initially, I had a small Brazilian hammer made of concrete with a smell of citrus fruits, an extra-small Italian dog made of glass with a smell of leather, a medium French pencil made of glass with a smell of rose, an extra-large Portuguese house made of concrete with a smell of coconut, a small Brazilian clock made of concrete with a smell of coconut, an extra-large Russian car made of glass with a smell of pine needles, an extra-large German clock made of ceramic with a smell of leather, a small Brazilian sunglasses made of glass with a smell of popcorn, an extra-extra-large Canadian pen made of plastic with a smell of chocolate, an extra-extra-large Chinese guitar made of steel with a smell of wet dog, a medium Russian sofa made of concrete with a smell of rose, a large Chinese drill made of steel with a smell of vanilla, a small French lamp made of steel with a smell of pine needles, a small Afghan piano made of plastic with a smell of coconut, a small Iranian dog made of ceramic with a smell of popcorn, a medium French brush made of ceramic with a smell of garlic, a medium Italian guitar made of plastic with a smell of vinegar, an extra-large British knife made of plastic with a smell of pine needles, a small Mexican canvas made of ceramic with a smell of baking bread, an extra-extra-small Canadian sofa made of ceramic with a smell of popcorn, a medium Turkish trash can made of concrete with a smell of freshly cut grass, an extra-small Chinese clock made of steel with a smell of pine needles, an extra-large Portuguese pencil made of ceramic with a smell of vanilla, a medium Spanish trash can made of steel with a smell of vanilla, a medium Spanish table made of glass with a smell of gasoline, an extra-large Japanese watch made of steel with a smell of wet dog, an extra-extra-small British clock made of steel with a smell of vanilla, an extra-extra-large British canvas made of glass with a smell of gasoline, an extra-extra-small Chinese bowl made of ceramic with a smell of gasoline, an extra-extra-large Brazilian stapler made of glass with a smell of chocolate. The color of the items was respectively as follows: the first 1 was black, the next 5 were blue, the next 2 were cyan, the next 2 were gold, the next 1 was green, the next 1 was indigo, the next 1 was ivory, the next 1 was khaki, the next 1 was orange, the next 1 was purple, the next 3 were red, the next 1 was silver, the next 2 were turquoise, the next 1 was violet, the next 2 were white, the next 5 were yellow. Then, for any item of color violet in my collection, my mom gave me another one of the same item, but with a blue color, Spanish origin, extra-extra-large size, garlic smell, and made of concrete. Then, for each item of size extra-small in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of vinegar (all other properties the same). After this, my new collection had: 6 item(s) made of concrete, 8 item(s) made of steel, 6 item(s) made of glass, 7 item(s) made of ceramic, 4 item(s) made of plastic. Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 1 black item(s), 4 blue item(s), 1 cyan item(s), 1 gold item(s), 1 indigo item(s), 1 ivory item(s), 1 purple item(s), 1 red item(s), 1 violet item(s), 1 white item(s), 3 yellow item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: either color is gold, or size is large, or material is plastic, or smell is pine needles, or origin is British? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:187", "request": "I had a collection of 43 weird items that went through a few changes. Initially, I had an extra-large Canadian bicycle made of ceramic with a smell of coconut, an extra-small Chinese fork made of concrete with a smell of gasoline, an extra-extra-large Japanese ring made of steel with a smell of baking bread, an extra-extra-small Italian hat made of steel with a smell of citrus fruits, a medium Brazilian necklace made of plastic with a smell of rose, an extra-large Italian plate made of plastic with a smell of gasoline, an extra-large Russian pen made of ceramic with a smell of freshly cut grass, an extra-extra-small Canadian bowl made of steel with a smell of vanilla, a small Japanese car made of plastic with a smell of coffee, an extra-extra-large Brazilian dog made of ceramic with a smell of popcorn, an extra-extra-small Brazilian lamp made of concrete with a smell of freshly cut grass, an extra-small Chinese table made of plastic with a smell of vinegar, an extra-small Mexican box made of plastic with a smell of wet dog, a large French speaker made of steel with a smell of wet dog, a small Canadian sofa made of plastic with a smell of wet dog, an extra-extra-small Brazilian watch made of ceramic with a smell of burning wood, an extra-extra-large Afghan box made of plastic with a smell of baking bread, an extra-small Turkish brush made of ceramic with a smell of chocolate, a medium Iranian car made of steel with a smell of gasoline, a medium Turkish car made of glass with a smell of coffee, a large Turkish lamp made of glass with a smell of leather, an extra-extra-small Mexican bottle made of plastic with a smell of pine needles, a large Spanish dog made of ceramic with a smell of freshly cut grass, an extra-extra-small Russian sofa made of glass with a smell of wet dog, an extra-large Portuguese plier made of steel with a smell of vinegar, an extra-extra-small Russian calculator made of plastic with a smell of burning wood, an extra-extra-small Polish shirt made of concrete with a smell of garlic, an extra-extra-small Portuguese stapler made of plastic with a smell of lavender, a small Russian clock made of glass with a smell of freshly cut grass, a large British ball made of concrete with a smell of gasoline, an extra-large Portuguese table made of steel with a smell of pine needles, a large British marker made of steel with a smell of coffee, an extra-extra-large German ruler made of glass with a smell of coffee, an extra-extra-large British key made of steel with a smell of pine needles, a large Japanese sofa made of plastic with a smell of lavender, an extra-small Russian sofa made of steel with a smell of popcorn, an extra-small Polish spoon made of ceramic with a smell of pine needles, an extra-small Portuguese drill made of glass with a smell of leather, an extra-extra-large Spanish shirt made of plastic with a smell of vanilla, an extra-large German saw made of glass with a smell of burning wood, a large Russian ball made of ceramic with a smell of coconut, an extra-small Turkish flower pot made of concrete with a smell of chocolate, a small Portuguese brush made of concrete with a smell of popcorn. The color of the items was respectively as follows: the first 2 were beige, the next 2 were black, the next 2 were brown, the next 3 were crimson, the next 5 were gold, the next 1 was gray, the next 7 were green, the next 4 were indigo, the next 2 were ivory, the next 3 were khaki, the next 2 were magenta, the next 1 was maroon, the next 1 was pink, the next 1 was silver, the next 1 was teal, the next 4 were violet, the next 2 were yellow. Then, my brother replaced any item of size extra-extra-small in my collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color yellow. After this, my collection had: 6 extra-large item(s), 17 extra-small item(s), 6 extra-extra-large item(s), 3 medium item(s), 4 small item(s), 7 large item(s), 9 extra-extra-small item(s). Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, for any item made of ceramic in my new collection, my sister changed their color to her favorite color and changed their smell to coffee. After this, my new collection had: 8 beige item(s), 2 crimson item(s), 4 gold item(s), 1 gray item(s), 4 green item(s), 3 indigo item(s), 2 ivory item(s), 3 khaki item(s), 1 magenta item(s), 1 maroon item(s), 1 pink item(s), 1 silver item(s), 3 violet item(s), 9 yellow item(s). Then, my uncle threw away any Japanese item in my new collection, but gave me two of the same item, one Portuguese and one Turkish (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the large items in my collection. In my current collection, how many items have the following attributes: color is not yellow, size is not large, material is not glass, smell is not vanilla, and origin is not Iranian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:188", "request": "I had a collection of 33 weird items that went through a few changes. Initially, I had an extra-extra-large Canadian speaker made of steel with a smell of garlic, an extra-extra-small Spanish book made of concrete with a smell of popcorn, a small British lamp made of steel with a smell of burning wood, a small Japanese necklace made of ceramic with a smell of burning wood, a medium British apple made of steel with a smell of lavender, an extra-small Polish calculator made of concrete with a smell of pine needles, an extra-large Polish ruler made of steel with a smell of wet dog, a medium Chinese bowl made of steel with a smell of chocolate, a medium Brazilian scissors made of plastic with a smell of rose, an extra-extra-small Chinese sunglasses made of glass with a smell of burning wood, an extra-small Turkish cup made of steel with a smell of rose, an extra-large Chinese car made of steel with a smell of freshly cut grass, an extra-large Afghan hat made of glass with a smell of garlic, an extra-extra-small Russian screwdriver made of steel with a smell of burning wood, an extra-extra-large Canadian box made of ceramic with a smell of pine needles, a large Spanish dog made of concrete with a smell of chocolate, a large Canadian umbrella made of steel with a smell of freshly cut grass, a medium Canadian plier made of steel with a smell of garlic, an extra-extra-small Japanese canvas made of concrete with a smell of leather, a medium Japanese box made of steel with a smell of burning wood, an extra-extra-large Italian dog made of plastic with a smell of rose, an extra-large Canadian car made of steel with a smell of rose, a large Portuguese bird made of glass with a smell of citrus fruits, an extra-extra-small British watch made of steel with a smell of wet dog, an extra-small Japanese lamp made of steel with a smell of coconut, an extra-extra-small Brazilian cup made of ceramic with a smell of burning wood, an extra-extra-small Turkish house made of glass with a smell of vinegar, a medium Spanish knife made of glass with a smell of vinegar, an extra-small Italian ring made of concrete with a smell of pine needles, an extra-extra-small Mexican calculator made of ceramic with a smell of chocolate, an extra-small French ball made of ceramic with a smell of burning wood, an extra-extra-large Japanese brush made of ceramic with a smell of gasoline, an extra-large Italian shoe made of glass with a smell of pine needles. The color of the items was respectively as follows: the first 3 were beige, the next 2 were black, the next 4 were blue, the next 2 were brown, the next 2 were crimson, the next 2 were gold, the next 1 was gray, the next 1 was green, the next 1 was khaki, the next 3 were maroon, the next 1 was orange, the next 2 were pink, the next 2 were purple, the next 3 were red, the next 2 were violet, the next 1 was white, the next 1 was yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of wet dog (all other properties the same). After this, my new collection had: 7 item(s) made of steel, 3 item(s) made of concrete, 3 item(s) made of ceramic, 7 item(s) made of glass, 1 item(s) made of plastic. Then, my friend took any item with a smell of gasoline, leather or chocolate in my new collection and threw it away. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: either color is red, or size is medium, or material is concrete, or smell is burning wood, or origin is Russian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:191", "request": "I had a collection of 34 weird items that went through a few changes. Initially, I had a medium Canadian ruler made of ceramic with a smell of chocolate, an extra-small Canadian ring made of plastic with a smell of chocolate, a medium Chinese earring made of concrete with a smell of burning wood, an extra-large Iranian plate made of concrete with a smell of coconut, an extra-extra-large Portuguese bag made of plastic with a smell of vanilla, a small Turkish scissors made of plastic with a smell of lavender, an extra-small Afghan vase made of concrete with a smell of popcorn, an extra-small German sofa made of plastic with a smell of lavender, an extra-large Japanese dog made of concrete with a smell of chocolate, an extra-extra-large Italian box made of glass with a smell of coffee, a small Spanish umbrella made of glass with a smell of popcorn, an extra-large French trash can made of glass with a smell of baking bread, an extra-extra-small Brazilian ball made of concrete with a smell of gasoline, a large Polish bird made of plastic with a smell of vanilla, an extra-large Canadian ruler made of glass with a smell of rose, a large Portuguese bag made of concrete with a smell of burning wood, an extra-small Portuguese bottle made of plastic with a smell of citrus fruits, an extra-extra-large Canadian bowl made of steel with a smell of chocolate, a large Chinese table made of glass with a smell of citrus fruits, a small Portuguese jar made of plastic with a smell of gasoline, a medium Afghan spoon made of glass with a smell of chocolate, a large Canadian hammer made of concrete with a smell of garlic, a large Brazilian necklace made of concrete with a smell of gasoline, an extra-small Turkish earring made of concrete with a smell of baking bread, an extra-extra-small German speaker made of glass with a smell of gasoline, an extra-extra-small Italian shoe made of ceramic with a smell of lavender, an extra-small Chinese bicycle made of glass with a smell of baking bread, an extra-large Canadian ruler made of steel with a smell of wet dog, a small Afghan sofa made of steel with a smell of burning wood, a medium Iranian earring made of plastic with a smell of rose, an extra-extra-large Afghan watch made of concrete with a smell of popcorn, a medium Polish box made of plastic with a smell of freshly cut grass, an extra-extra-small Italian box made of plastic with a smell of vinegar, an extra-extra-large French jar made of glass with a smell of gasoline. The color of the items was respectively as follows: the first 6 were beige, the next 2 were black, the next 2 were blue, the next 2 were brown, the next 1 was crimson, the next 1 was gold, the next 3 were green, the next 1 was indigo, the next 1 was ivory, the next 3 were khaki, the next 1 was maroon, the next 1 was orange, the next 1 was pink, the next 2 were red, the next 1 was teal, the next 2 were turquoise, the next 3 were white, the next 1 was yellow. Then, if I had an even number of an item type in my collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my brother replaced any item of size extra-extra-large in my new collection with an exact copy but with one specific size (different from extra-extra-large) and another exact copy but with color green. After this, my new collection had: 8 medium item(s), 5 extra-small item(s), 5 extra-large item(s), 2 small item(s), 4 extra-extra-small item(s), 4 large item(s), 3 extra-extra-large item(s). Then my dad threw away all item of a certain color from my new collection. After this, my new collection only had: 5 beige item(s), 1 black item(s), 2 blue item(s), 2 brown item(s), 1 crimson item(s), 1 gold item(s), 5 green item(s), 1 indigo item(s), 1 ivory item(s), 2 khaki item(s), 1 maroon item(s), 1 orange item(s), 1 pink item(s), 1 teal item(s), 1 turquoise item(s), 3 white item(s). Then, my uncle threw away any Portuguese item in my new collection, but gave me two of the same item, one Polish and one German (all other properties the same). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: color is not beige, size is not small, material is not glass, smell is not freshly cut grass, and origin is not German? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:192", "request": "I had a collection of 34 weird items that went through a few changes. Initially, I had a large Spanish wrench made of glass with a smell of wet dog, an extra-large Mexican sofa made of concrete with a smell of vinegar, an extra-large Canadian bag made of plastic with a smell of popcorn, a small Portuguese car made of plastic with a smell of pine needles, an extra-small Mexican saw made of glass with a smell of garlic, an extra-extra-small Mexican canvas made of ceramic with a smell of garlic, an extra-large Russian earring made of concrete with a smell of vinegar, a large German ball made of ceramic with a smell of burning wood, an extra-small Japanese house made of ceramic with a smell of burning wood, an extra-extra-small Japanese house made of concrete with a smell of citrus fruits, an extra-small Brazilian vase made of plastic with a smell of coconut, an extra-large Polish wallet made of plastic with a smell of vinegar, a small Mexican bed made of concrete with a smell of burning wood, an extra-extra-small Afghan scissors made of concrete with a smell of pine needles, an extra-extra-large Brazilian brush made of plastic with a smell of lavender, an extra-large Chinese guitar made of glass with a smell of freshly cut grass, an extra-small Chinese table made of concrete with a smell of vinegar, an extra-large French clock made of concrete with a smell of gasoline, a large Portuguese piano made of plastic with a smell of vinegar, a medium Italian bottle made of steel with a smell of baking bread, an extra-extra-large Canadian bag made of ceramic with a smell of leather, a medium Italian banana made of glass with a smell of burning wood, an extra-extra-large British sofa made of ceramic with a smell of leather, a medium Afghan book made of steel with a smell of coffee, a small Italian dog made of concrete with a smell of pine needles, an extra-large French table made of ceramic with a smell of leather, an extra-extra-small Canadian wrench made of ceramic with a smell of citrus fruits, an extra-extra-small Brazilian earring made of ceramic with a smell of leather, a small Canadian bird made of steel with a smell of pine needles, an extra-large German umbrella made of glass with a smell of popcorn, an extra-small Polish spoon made of ceramic with a smell of leather, an extra-large French wrench made of concrete with a smell of citrus fruits, a medium Afghan hat made of glass with a smell of gasoline, a medium Chinese saw made of plastic with a smell of baking bread. The color of the items was respectively as follows: the first 1 was black, the next 1 was blue, the next 1 was brown, the next 3 were crimson, the next 1 was cyan, the next 3 were gold, the next 2 were green, the next 2 were indigo, the next 1 was ivory, the next 2 were khaki, the next 1 was magenta, the next 3 were maroon, the next 1 was orange, the next 1 was pink, the next 1 was purple, the next 1 was red, the next 1 was silver, the next 2 were teal, the next 1 was turquoise, the next 4 were violet, the next 1 was white. Then, for any item with a smell of chocolate, coffee, or rose in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 1 item(s) with wet dog smell, 5 item(s) with vinegar smell, 2 item(s) with popcorn smell, 4 item(s) with pine needles smell, 2 item(s) with garlic smell, 4 item(s) with burning wood smell, 3 item(s) with citrus fruits smell, 1 item(s) with coconut smell, 1 item(s) with lavender smell, 1 item(s) with freshly cut grass smell, 3 item(s) with gasoline smell, 2 item(s) with baking bread smell, 5 item(s) with leather smell, 1 item(s) with coffee smell. Then, for any item of color brown in my new collection, my mom gave me another one of the same item, but with a ivory color, Brazilian origin, extra-small size, popcorn smell, and made of ceramic. Then, for any item made of concrete in my new collection, my sister changed their color to her favorite color and changed their smell to coffee. After this, my new collection had: 1 black item(s), 10 brown item(s), 3 crimson item(s), 2 gold item(s), 2 green item(s), 2 ivory item(s), 1 khaki item(s), 3 maroon item(s), 1 orange item(s), 1 pink item(s), 2 purple item(s), 1 silver item(s), 2 teal item(s), 1 turquoise item(s), 3 violet item(s), 1 white item(s). Then, my friend took any item with a smell of vanilla, wet dog or freshly cut grass in my new collection and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: either color is brown, or size is small, or material is ceramic, or smell is garlic, or origin is Italian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:193", "request": "I had a collection of 31 weird items that went through a few changes. Initially, I had an extra-extra-small Iranian earring made of glass with a smell of citrus fruits, an extra-extra-large Chinese ruler made of glass with a smell of burning wood, an extra-extra-large German flower pot made of steel with a smell of freshly cut grass, a medium Chinese flower pot made of ceramic with a smell of leather, a large Italian knife made of concrete with a smell of rose, an extra-large Japanese candle made of plastic with a smell of pine needles, an extra-large Polish screwdriver made of steel with a smell of burning wood, an extra-large German bowl made of ceramic with a smell of lavender, a medium Spanish house made of concrete with a smell of garlic, an extra-extra-large Afghan piano made of glass with a smell of gasoline, an extra-extra-large British shoe made of glass with a smell of citrus fruits, a medium Portuguese wrench made of ceramic with a smell of gasoline, a medium Polish bed made of concrete with a smell of coconut, a medium Russian house made of concrete with a smell of rose, a medium Japanese knife made of plastic with a smell of popcorn, an extra-small Turkish car made of concrete with a smell of baking bread, an extra-extra-large French bicycle made of ceramic with a smell of coconut, a large British scissors made of steel with a smell of coffee, a medium British scissors made of plastic with a smell of vinegar, an extra-large German apple made of ceramic with a smell of leather, a large Turkish jar made of plastic with a smell of gasoline, a small Japanese ball made of steel with a smell of vanilla, a large Mexican piano made of ceramic with a smell of popcorn, an extra-extra-large Portuguese bag made of concrete with a smell of wet dog, an extra-large Iranian chair made of steel with a smell of vinegar, an extra-extra-large Italian house made of steel with a smell of wet dog, a small Polish car made of ceramic with a smell of citrus fruits, an extra-large Japanese book made of steel with a smell of citrus fruits, a small Turkish trash can made of plastic with a smell of coffee, a medium French dog made of steel with a smell of coffee, an extra-large Afghan umbrella made of ceramic with a smell of coconut. The color of the items was respectively as follows: the first 2 were beige, the next 3 were black, the next 4 were brown, the next 2 were crimson, the next 2 were gold, the next 1 was gray, the next 1 was green, the next 1 was indigo, the next 3 were ivory, the next 1 was khaki, the next 2 were magenta, the next 1 was maroon, the next 2 were orange, the next 1 was pink, the next 1 was red, the next 2 were silver, the next 1 was turquoise, the next 1 was white. Then, my brother replaced any item of size medium in my collection with an exact copy but with one specific size (different from medium) and another exact copy but with color beige. After this, my collection had: 9 extra-extra-small item(s), 7 extra-extra-large item(s), 8 medium item(s), 4 large item(s), 7 extra-large item(s), 1 extra-small item(s), 3 small item(s). Then, for any item made of plastic in my new collection, my sister changed their color to her favorite color and changed their smell to vinegar. After this, my new collection had: 8 beige item(s), 3 black item(s), 3 brown item(s), 2 crimson item(s), 2 gold item(s), 1 gray item(s), 8 indigo item(s), 2 ivory item(s), 1 khaki item(s), 1 magenta item(s), 1 maroon item(s), 2 orange item(s), 1 pink item(s), 1 red item(s), 1 silver item(s), 1 turquoise item(s), 1 white item(s). Then, for each item of size extra-large in my new collection, my aunt took it but then gave me another one of the same item made of her favorite material and with a smell of rose (all other properties the same). After this, my new collection had: 4 item(s) made of glass, 7 item(s) made of ceramic, 9 item(s) made of concrete, 6 item(s) made of steel, 13 item(s) made of plastic. Then, my teacher took any item from my new collection whose color started with \"b\" or whose name had 6 characters and threw it away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the medium items in my collection. In my current collection, how many items have the following attributes: color is not magenta, size is not medium, material is not concrete, smell is not gasoline, and origin is not Afghan? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:195", "request": "I had a collection of 44 weird items that went through a few changes. Initially, I had a small Russian piano made of ceramic with a smell of garlic, a medium Brazilian bowl made of glass with a smell of garlic, an extra-extra-large Japanese pen made of glass with a smell of popcorn, an extra-extra-large Brazilian earring made of concrete with a smell of citrus fruits, a medium French flower pot made of concrete with a smell of gasoline, a large Japanese house made of plastic with a smell of coffee, an extra-extra-large Spanish brush made of plastic with a smell of vanilla, an extra-extra-large Canadian vase made of plastic with a smell of gasoline, a medium Portuguese bag made of ceramic with a smell of garlic, a small Turkish ball made of plastic with a smell of baking bread, a small Iranian shirt made of glass with a smell of burning wood, a large German earring made of ceramic with a smell of burning wood, an extra-large Brazilian dog made of plastic with a smell of freshly cut grass, an extra-large Portuguese bag made of ceramic with a smell of baking bread, an extra-small Polish clock made of ceramic with a smell of wet dog, an extra-large Brazilian box made of steel with a smell of coffee, an extra-small Japanese clock made of concrete with a smell of wet dog, an extra-extra-large Mexican camera made of plastic with a smell of lavender, an extra-small Turkish bag made of plastic with a smell of popcorn, a large British earring made of ceramic with a smell of vinegar, an extra-small Chinese spoon made of plastic with a smell of burning wood, a large Canadian canvas made of glass with a smell of freshly cut grass, an extra-extra-large Polish plate made of steel with a smell of garlic, a small Italian camera made of steel with a smell of popcorn, an extra-small Iranian banana made of steel with a smell of chocolate, an extra-small Turkish ball made of steel with a smell of burning wood, an extra-large Brazilian banana made of concrete with a smell of popcorn, a medium German candle made of glass with a smell of vinegar, a small British stapler made of plastic with a smell of vinegar, an extra-small Russian ruler made of concrete with a smell of lavender, an extra-large Afghan trash can made of steel with a smell of wet dog, an extra-extra-large British speaker made of glass with a smell of coconut, an extra-extra-large Russian cup made of steel with a smell of pine needles, a large Polish canvas made of plastic with a smell of vinegar, a medium Japanese ball made of plastic with a smell of freshly cut grass, an extra-extra-small Polish hammer made of steel with a smell of garlic, an extra-extra-small Italian stapler made of ceramic with a smell of baking bread, a large Iranian hat made of ceramic with a smell of leather, a large Brazilian lamp made of ceramic with a smell of baking bread, a medium British stapler made of glass with a smell of burning wood, an extra-large Canadian fork made of ceramic with a smell of chocolate, a large Russian lamp made of glass with a smell of baking bread, an extra-extra-small German shoe made of steel with a smell of burning wood, an extra-extra-small Canadian box made of steel with a smell of gasoline. The color of the items was respectively as follows: the first 4 were beige, the next 2 were black, the next 4 were brown, the next 2 were crimson, the next 1 was gray, the next 3 were green, the next 1 was indigo, the next 1 was ivory, the next 4 were khaki, the next 1 was maroon, the next 1 was orange, the next 2 were pink, the next 5 were purple, the next 3 were red, the next 4 were silver, the next 3 were turquoise, the next 1 was white, the next 2 were yellow. Then my dad threw away all item of a certain color from my collection. After this, my collection only had: 4 beige item(s), 2 black item(s), 4 brown item(s), 1 gray item(s), 3 green item(s), 1 indigo item(s), 1 ivory item(s), 4 khaki item(s), 1 maroon item(s), 1 orange item(s), 2 pink item(s), 5 purple item(s), 3 red item(s), 4 silver item(s), 3 turquoise item(s), 1 white item(s), 2 yellow item(s). Then, for any item with a smell of leather, coconut, or burning wood in my new collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my new collection had: 5 item(s) with garlic smell, 4 item(s) with popcorn smell, 1 item(s) with citrus fruits smell, 3 item(s) with gasoline smell, 2 item(s) with coffee smell, 1 item(s) with vanilla smell, 5 item(s) with baking bread smell, 3 item(s) with freshly cut grass smell, 3 item(s) with wet dog smell, 2 item(s) with lavender smell, 4 item(s) with vinegar smell, 4 item(s) with burning wood smell, 7 item(s) with pine needles smell, 2 item(s) with chocolate smell, 1 item(s) with coconut smell, 1 item(s) with leather smell. Then, for any item made of glass in my new collection, my sister changed their color to her favorite color and changed their smell to rose. After this, my new collection had: 2 beige item(s), 2 black item(s), 4 brown item(s), 1 gray item(s), 12 green item(s), 1 indigo item(s), 1 ivory item(s), 4 khaki item(s), 1 maroon item(s), 1 orange item(s), 3 pink item(s), 4 purple item(s), 2 red item(s), 5 silver item(s), 2 turquoise item(s), 3 yellow item(s). Then, my brother replaced any item of size extra-extra-small in my new collection with an exact copy but with one specific size (different from extra-extra-small) and another exact copy but with color red. After this, my new collection had: 4 small item(s), 9 extra-extra-large item(s), 12 medium item(s), 8 large item(s), 6 extra-large item(s), 9 extra-small item(s), 5 extra-extra-small item(s). Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the small items in my collection. In my current collection, how many items have the following attributes: color is not maroon, size is not small, material is not ceramic, smell is not vinegar, and origin is not Russian? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:object_properties:196", "request": "I had a collection of 46 weird items that went through a few changes. Initially, I had an extra-extra-large Afghan speaker made of steel with a smell of burning wood, an extra-extra-large Canadian sunglasses made of plastic with a smell of freshly cut grass, a medium German car made of steel with a smell of burning wood, a medium Polish ruler made of plastic with a smell of freshly cut grass, an extra-extra-large Turkish ruler made of plastic with a smell of lavender, an extra-small Iranian cup made of ceramic with a smell of garlic, an extra-small Afghan umbrella made of ceramic with a smell of gasoline, an extra-large Russian box made of plastic with a smell of vinegar, an extra-large Mexican sofa made of concrete with a smell of rose, an extra-extra-small Canadian pen made of concrete with a smell of lavender, a large Chinese screwdriver made of glass with a smell of chocolate, an extra-large Portuguese necklace made of concrete with a smell of garlic, an extra-extra-small Afghan spoon made of concrete with a smell of pine needles, a large French ball made of glass with a smell of rose, a small Canadian key made of steel with a smell of chocolate, an extra-small Spanish spoon made of concrete with a smell of citrus fruits, a large Turkish screwdriver made of plastic with a smell of rose, an extra-small Turkish ring made of plastic with a smell of pine needles, an extra-extra-small German necklace made of glass with a smell of coffee, an extra-large Canadian marker made of concrete with a smell of leather, a small Canadian cup made of steel with a smell of rose, an extra-extra-large Spanish spoon made of plastic with a smell of baking bread, a large Italian fork made of ceramic with a smell of vanilla, a large Polish car made of steel with a smell of vinegar, a small French chair made of concrete with a smell of pine needles, an extra-extra-small Chinese bowl made of ceramic with a smell of lavender, a medium German apple made of ceramic with a smell of burning wood, an extra-small Polish bag made of plastic with a smell of popcorn, an extra-small Chinese wrench made of steel with a smell of vanilla, an extra-extra-large Polish key made of concrete with a smell of coffee, an extra-small German scissors made of glass with a smell of freshly cut grass, an extra-large Polish bowl made of glass with a smell of gasoline, an extra-extra-small Iranian knife made of glass with a smell of citrus fruits, an extra-large British banana made of glass with a smell of vinegar, a large Japanese bird made of ceramic with a smell of rose, a large Japanese speaker made of ceramic with a smell of rose, an extra-extra-small French spoon made of plastic with a smell of citrus fruits, an extra-extra-small Italian banana made of steel with a smell of coconut, an extra-extra-large German earring made of concrete with a smell of citrus fruits, an extra-extra-large Spanish ball made of steel with a smell of gasoline, a large Turkish marker made of glass with a smell of wet dog, an extra-large French plate made of concrete with a smell of freshly cut grass, an extra-extra-small Japanese hat made of glass with a smell of popcorn, a small Italian clock made of plastic with a smell of vinegar, a small Afghan sofa made of glass with a smell of freshly cut grass, an extra-extra-large Mexican wrench made of plastic with a smell of popcorn. The color of the items was respectively as follows: the first 5 were beige, the next 3 were crimson, the next 1 was cyan, the next 2 were gold, the next 1 was gray, the next 5 were green, the next 2 were ivory, the next 2 were khaki, the next 2 were magenta, the next 2 were maroon, the next 2 were orange, the next 2 were pink, the next 2 were purple, the next 1 was silver, the next 2 were teal, the next 5 were turquoise, the next 2 were violet, the next 1 was white, the next 4 were yellow. Then, for any item with a smell of lavender, vinegar, or vanilla in my collection, my cousin gifted me another one of that item with the same properties but with her favorite smell (different from the three smells above). After this, my collection had: 3 item(s) with burning wood smell, 14 item(s) with freshly cut grass smell, 3 item(s) with lavender smell, 2 item(s) with garlic smell, 3 item(s) with gasoline smell, 4 item(s) with vinegar smell, 6 item(s) with rose smell, 2 item(s) with chocolate smell, 3 item(s) with pine needles smell, 4 item(s) with citrus fruits smell, 2 item(s) with coffee smell, 1 item(s) with leather smell, 1 item(s) with baking bread smell, 2 item(s) with vanilla smell, 3 item(s) with popcorn smell, 1 item(s) with coconut smell, 1 item(s) with wet dog smell. Then, for any item of color maroon in my new collection, my mom gave me another one of the same item, but with a white color, German origin, extra-small size, vanilla smell, and made of steel. Then, my uncle threw away any Afghan item in my new collection, but gave me two of the same item, one Mexican and one British (all other properties the same). Then, if I had an even number of an item type in my new collection (e.g. two knives, regardless of their size, color, origin, material, or smell), I threw all of them away. Then, my fiance compared my new collection with my initial collection and if there was an item in my new collection with a (smell, color) pair that was different from the (smell, color) pair of all items in my initial collection, she added another copy of that to my new collection. Then, I lost one of the extra-small items in my collection. In my current collection, how many items have the following attributes: either color is beige, or size is extra-small, or material is concrete, or smell is freshly cut grass, or origin is French? If the exact number cannot be computed, the answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:000", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: TIL 53% of US cable customers would leave their current provider if they had a choice and 73% feel their cable provider engages in \"predatory practices\".\nREPLY 1: Good thing they don't have a virtual monopoly on the service, otherwise they might actually lose customers.\n\nPOST 2: TIL Steve Job is worth 8 billion but has \"steadfastly\" refused to donate money to worthy causes, and has even stopped all of Apple's philanthropy programs.\nREPLY 2: While I can't comment on Apple's programs, I know that he's widely suspected to be the anonymous donor that's been giving hundreds of millions of dollars to various research charities (particularly cancer research) over the past few years.\n\nPOST 3: come on man you ARE a drug addict, you know i once saw a friend die because she injected 5 marijuanas\nREPLY 3: These are sad people who need to justify their fear of the unknown by insulting anyone who challenges it.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:001", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: As a black guy I truly hate when a black female says black men don't love because we also date out of our race, its so fucking stupid.\nREPLY 1: You guys I have a great idea, what if we make sure the races don't mix so people can stick to their own kind.\n\nPOST 2: Former 4th District Congressional Candidate Admits Plotting Armed Militia Attack, Firebombing Of Muslim Community In New York\nREPLY 2: Four out of seven comments on this thread so far blame Republicans for this, when the article clearly says that this asshat ran as an \"independent\" and was beaten by a Republican.\n\nPOST 3: They directly asked for $1.00 donations and removed the thousands of huge donations and create this number for ONE MONTH, also the line that rewrote headline is from mentions \"according to the campaign\" OH YEA seems legit.\nREPLY 3: With Hillary you really have to remove all the $1 donations and re-calculate to un-crook the numbers.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:003", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: You shouldn't complain because most poors in the US have indoor plumbing, refrigerators, and television sets.\nREPLY 1: You don't need to be a communist to see that this is terribly wrong and that this development has to stop.\n\nPOST 2: No peppers and an away game, feeling sorry for michigan right now Big 10 has it the worst as far as \"away games\" in bowls\nREPLY 2: Eh, just wait a few years, it'll get warm enough for bowl games to be feasible in open-air northern stadiums.\n\nPOST 3: Because when you think the cops are harassing you, the obvious course of action is to kill three women who aren't cops.\nREPLY 3: Yup it's absolutely police harassment when you keep on breaking the law and the police keep on getting involved.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:004", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Create Your Own Kekkei Genkai I thought it'd be fun to have a thread where people can create their own clan/blood-line trait, just to see how creative the sub can really get lol Here is what it should include: -Clan Name: (could be your name or a made up name) -Clane Village: (what village the clan is affiliated with, could be made up) -Clan Symbol: (the symbol of the clan, like the Uchiha fan) -Kekkei Genkai: (what their special ability of the clan is, or something they excel at like binding spells with the Uzumaki) Here is mine: Clan Name: Tsuri Clan Village: Village Hidden In Frost Clan Symbol: A Snow Flake (simple design not too intricate) Clan Ability: Ice/Wood Release: An ability similar to wood release but not as strong, the user can create a forest of ice in the same manor as the 1st and control its shape by changing the ice from water and back)\nREPLY 1: in real life im really in clan , my nation is all based on a clan system , im Somali, country is fcked to the ground because all these clans are always fighting each other , civil war shit hole\n\nPOST 2: Tony Romo is about to become the ONLY QB in NFL history to have 6 games in a season w/ a 135.0+ QB rating.\nREPLY 2: For anyone wondering, Week 4 vs NO (137.4) Week 7 vs NYG (135.7) Week 10 vs JAX (138.8) Week 12 vs NYG (143.4 wow) Week 14 vs CHI (138.0) And now today.\n\nPOST 3: A doctor risks being deregistered because he allegedly refused a referral for an Indian couple who wanted to abort a healthy unborn baby girl at 19 weeks, simply because they wanted a boy.\nREPLY 3: Had an abortion because it wasn't the right sex, my god, they simply shouldn't be allowed to have kids!\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:006", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Drug deaths are like an itchy rash, and our government is adamant that the best way to get rid of the rash is to keep scratching and scratching.\nREPLY 1: I'm shocked and stunned that government cuts and an outdated stance on drugs is doing more harm than good\n\nPOST 2: Remove extra time and penalties and instead if the game finishes a draw after 90 they both loose, that would stop those fucks playing defensive for 120 minutes\nREPLY 2: If someone can show (data-wise) that extra time usually ends in a draw it impacts a team's chances later in the competition, then this a very clever and simple solution.\n\nPOST 3: Most atheists would agree that they really care about science and knowledge, and knowing the truths of the world.\nREPLY 3: atheism = science hurr durr all religious people are scientifically illiterate and atheists are super smart\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:008", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Says the government that is unwilling to apologize for the Armenian, Assyria, and Greek genocide that killed over 2 million people combined.\nREPLY 1: Yes yes, warning citizens where attacks will so they can flee and even providing medical treatment to them shows hows how Barbaric Israel is.\n\nPOST 2: I'm told in their society they wouldn't buy things made by child laborers thus putting a stop to this criticism ONCE AND FOR ALL\nREPLY 2: A child is an object unless you're redefining object to mean- Something that is not perceptible by one or more of the senses.\n\nPOST 3: What she doesn't mention is she was embarrassing everyone there because her shorts had ripped down the front and she wasn't wearing underwear.\nREPLY 3: Maybe she was turning a traumatic sexist experience where the trainer wanted to hit on her into a positive light?\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:010", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I love how some of the top comments here are praising \"progressives\" while completely ignoring that if Democrats had complete control of the house and senate then our gun rights would've been fucked.\nREPLY 1: Ammunition is so expensive now that allowing wealthy gun owners more than 5 rounds discriminates against less fortunate gun owners.\n\nPOST 2: Once they loot enough, they won't be socio-economically disadvantaged anymore, so theoretically, crime should stop, right?\nREPLY 2: They all looked very distraught after the the loss of Michael - I guess people deal with the pain in different ways.\n\nPOST 3: Shockingly few Congressional Republicans repudiate Steve King after he openly advocates white nationalism\nREPLY 3: The Republican Party: You don't have to be racist, you just have to be okay associating yourself with racists.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:011", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Dunno, seems like if you don't want to go to prison, then it's as simple as not being poor, a minority, or in the wrong place at the wrong time.\nREPLY 1: Also, a lot of states have private companies that you have to pay so that they will take your mugshot off their website\n\nPOST 2: That's not Pahlavi's flag, there's no crown on it, that's THE PEOPLE'S FLAG... inclusive of all Iranians without regard to religion!\nREPLY 2: well it can't get more \"persian\" than a wannabe persian raising a wannabe flag after a wannabe \"sport event\"...\n\nPOST 3: Haha too funny for this time in the morning, an open beta is FREE they wont charge anything but if you still dont feel assured just take your bank details off your account lol\nREPLY 3: Yeah EA will see that you have played the Beta so they'll automatically withdraw 60$ from your bank account.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:012", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: This is what I love to see: Someone who is far less privileged than us working insanely hard for something we don't deserve yet have handed to us like little Reese's cups at Halloween.\nREPLY 1: Stop thinking christ or any fictional figure did anything to him.. It was his pure will and mental strength and none of god or anything.\n\nPOST 2: He's an ex Marine, so his spoiled-child level of entitlement and unwanted sexual aggression is totally justified.\nREPLY 2: I couldn't understand like half of what that dude was saying... Seriously tho the space bar is a wonderful thing.\n\nPOST 3: Well, I'm sure that the GOP-heavy legislature that just worked so hard on repealing voters rights will do what Obama said and create a law that makes everyone vote.\nREPLY 3: Maybe it's time to eliminate the electoral college and count every vote, let the real majority decide.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:015", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: He jumped out of his vehicle pointing in a gun holding like manner and then charged towards the cop, if anything he's lucky he got tazed.\nREPLY 1: Jumping out of a car making a gun motion with your hand...I can't believe the cop reacted with a tazer.\n\nPOST 2: When they said \"child pornography ring\" I was expecting something more sinister than teens sending selfies to each other and being clueless about how things can spread on the internet.\nREPLY 2: Because prosecuting children for taking pictures of themselves was EXACTLY what the lawmakers intended when they wrote this law.\n\nPOST 3: Fantastic, and I'm sure the Chinese will be happy to allow Canadians to invest and buy up their State Owned Enterprises, infrastructure, banks and high tech companies right?\nREPLY 3: We finished selling off Vancouver so they thought it was a good idea to sell off the rest of the country too.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:016", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: As someone who graduated many years ago, I'm looking forward to the tuition refund Obama is going to offer to those of us who had to pay our own way.\nREPLY 1: So you're telling I should probably be suspicious of my generous co-worker who I went to Fridays with yesterday afternoon?\n\nPOST 2: I like how in the last clip you can clearly see them sticking to the tank, then explode 20 meters back.\nREPLY 2: dont worry it doesn't stick to infantry any, thanks SOE for fixing that shame about the C4 bug you created fixing that\n\nPOST 3: After some West Coast friends blew up at me on Facebook for making a joke I felt compelled to make a new meme: Double Standard Californians\nREPLY 3: Is it insensitive for me to think that both of the people in that picture look like stuck-up assholes?\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:017", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Nice selective inclusion of dates to exaggerate your point, which isn't really a point, it's just juvenile politics as usual.\nREPLY 1: If we've been losing a negative number of jobs in the hundreds of thousands for over a year, how the hell do we have any unemployment?\n\nPOST 2: Yeah, why don't already economically disadvantaged people just pack up and move away from their network of family and community support?\nREPLY 2: Because, rather than go to school and become smart like you, they choose to be poor and stuck in a shitty crime filled city.\n\nPOST 3: After narrowly escaping relegation in the summer Hertha BSC finish the first half of the season in 3rd place with only Bayern and Dortmund infront.\nREPLY 3: Fun Fact: Hertha are one of only 2 teams that can claim to be closer to Bayern than to the relegation zone.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:018", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Someone has to say it first... If only he was black, he would get life for that SC rape and we'd be much better off now!\nREPLY 1: \"Abortion is murder so I'm gonna go shoot the place up\", if he's not mentally ill he's some form of slow\n\nPOST 2: I love when that WorldNews post hit the front page a couple weeks ago about the Iranian Kurds standing up for women's rights, and the entirety of Reddit basically had a giant pro-Iran circle-jerk, not realizing that Kurds and Persians were different.\nREPLY 2: At least our Turkish and Iraqi allies have provided them with security, shelter, and cut their own country out for them\n\nPOST 3: Yet another fantastic quote by the professionals themselves to further support the vast majority of women are unable to think for themselves and are all under men's control!\nREPLY 3: The opposite way around (reverse the sexes) is MUCH more common, at least in modern industrial societies.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:023", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: An Iraqi Commander has Wiretapped ISIL Communications, and Confirms he now has Proof of the US Military Coordinating With ISIL on Delivery of US Weapons and Ammunition.\nREPLY 1: Sad thing is, is it could be displayed over the news media all over the US, and 90% still wouldn't get it.\n\nPOST 2: The ever reliable and unbiased \"trump hired hookers to piss on obama's mattress\" news source: Buzzfeed\nREPLY 2: Well, his default position is that America is getting boned by anybody and everybody, so they should have prepared a contingency, obviously\n\nPOST 3: To put Aaron Rodgers 200th Passing TD in perspective, I have compared him to Brett Favre through the same number of games.\nREPLY 3: I really don't think favre cared about INTs he just wanted the win and played his ass off every game to get it.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:024", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Props to Nine News for picturing the schoolboy at the target of Latham's comments, I'm sure that this is in the public interest and the media is fulfilling all of their responsibilities to those who the story covers and certainly won't be used for anything negative\nREPLY 1: This is a man who was brought up badly, who displays none of the characteristics which made the older generation admirable.\n\nPOST 2: oh no.... what a nightmare... The horror of letting the era of Cruz and Mitch McConnell controlling the senate go to Bernie Sanders.\nREPLY 2: Master mind of the New Left, Bernie Sanders reveals himself to be his own political splinter group and the reincarnation of Noam Chomsky.\n\nPOST 3: Think of all the glitter bombs they use during their parades and the connection is all the more apparent!\nREPLY 3: Looking forward to laughing at Kenya, Uganda and Russia in 50 years when they're better educated and begging for forgiveness\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:025", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: At least we know who the empty chair at President Obama's last State of the Union address will represent.\nREPLY 1: Remind Chicago police how bad they are and tell them how to do third job cuz it's probably their fault again.\n\nPOST 2: The important thing is that it is up to the men to determine what's harmless to women and what's actually harassment, womens' own experiences can't be trusted to make that distinction.\nREPLY 2: Yeah because being called certain words by strangers always has the same context and meaning as from someone you love and trust.\n\nPOST 3: It is either complete dishonesty or ignorance for FRAN TOWNSEND to make this argument.... laughable.\nREPLY 3: A civil society can only exist when government officials can operate without accountability and in total secrecy, and when the press is free to protect government's interests and curtail public debate.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:026", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: You forgot to put your favorite craft alcohol off to the side to pretend you are not showing it off.\nREPLY 1: Protip: place your rifle on top of 2 rocks and take a picture of it on the ground, to appear more operator.\n\nPOST 2: Tried to get a ride along with these guys when I was studying there... Unfortunately they only sent me the paperwork after I left\nREPLY 2: All the people in this video were black-- does this mean this unit is super diverse or super profiling/racist?\n\nPOST 3: HEYYYY HEYY we only use \"Conservative Americans\", or else youre being a reverse racist and the reason Trump won\nREPLY 3: Part of me at least understands that there is no right economic policy and that maybe there is certain instances of overregulation but the other part of me hates that the douchebags in government and the shitty conservatives that voted them in are making this country a painfully unsafe place to live if you aren't a white male in \"real America\" whatever the fuck that is\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:027", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: It's the worst form of hate, the use of cold hard facts and data to slowly unwind the spool of lies that depict hurt feelings.\nREPLY 1: If the general public looks at Ragen's site and can't see past the thin veneer of credibility, but looks at Dances with Facts and just sees haters that can be ignored, then Ragen has won.\n\nPOST 2: But women would never lie about anything so serious as rape, so we should trash due process and just Listen And Believe.\nREPLY 2: Gotta love when somebody would rather ruin the lives of four other people than take responsibility for screwing up their own\n\nPOST 3: Maybe it's because all the Hamas officials are busy in Syria trying to assure safe passage for refugees from Syria to Saudi Arabia and Iraq.\nREPLY 3: And with every bomb Israel throws into Gaza they only give the Hamas more power, but either those in charge are too dumb to realize that or they actually want it to be that way, maybe to punish the rest of the world for helping Gaza out.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:038", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Shut you dirty liberal mouth before The_Donald fires off some Freedom Nukes at you and see what politics look like then, Snowflake!\nREPLY 1: I'm very pleased to see nobody has posted that stupid astronaut quote about wanting to choke politicians.\n\nPOST 2: This child doesn't even pay taxes yet and he's calling adults with this attitude of he knows best, this is ridiculous.\nREPLY 2: Hey hunny, there is a 9th grade high school student on the phone promoting socialism, let's take him seriously\n\nPOST 3: I really like the idea that just because a man is attracted to other men, it means they're also a paedophile\nREPLY 3: It's really kind of hard to take anyone seriously when they refer to mythical fairytales and monsters, goblins and spirits etc.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:040", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I'm sure that infertile women who can't have kids and instead have to have dogs that are their babies would totally agree with these \"real\" moms.\nREPLY 1: Moms thinking their kids are worth anything to society is an insult to functional adults that actually are.\n\nPOST 2: It's just like American policy - shoot and kill the perceived threat before it can become a threat so you can get to the business at hand without any distractions.\nREPLY 2: How dare the police violate someones civil rights by doing a probation check and her dog attacks a dirty pig cop whom ends up shooting it.\n\nPOST 3: BODY CAM VIDEO: Gallatin Police release body cam and dash cam footage of fatal OIS of a woman with a medieval ax.\nREPLY 3: Skin color, mental capacity, mental state...and any other one of those things people make a headline about...the general public need to start being exposed to more bodycam videos like this, maybe then they'll see that none of that stuff matters in a situation like this.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:041", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: None of us know too much about coaches, to me getting pederson is like getting another andy, which isn't a bad thing.\nREPLY 1: If you get the chance to hire a coach who had an offense in which almost 2 years went by without a WR catching a TD, you don't pass that up.\n\nPOST 2: now that we've burned pictures of her and shown her just how mentally unstable and obsessive we are over fucking k-pop singers, she's sure to come back and perform for us!\nREPLY 2: Fans are butthurt because they've secretly realized they're the reason f(x) has stopped promoting and Sulli might be leaving to never perform for them again.\n\nPOST 3: When the Saudi's oil runs out so they don't hold others over the barrel (literally) and we can actually point to them as the problem and primary funder of those groups and the clerics that distort their view and make them hate.\nREPLY 3: You're not allowed to make a connection between Islam & Islamic Terrorists anymore as it means you're a racist.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:042", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Let me tell you how much I enjoy having that subscribe pop up take up 1/3 the screen at the best part.\nREPLY 1: I'm so **sick** and **tired** of the liberal media pushing its views through my favorite arachnid based internet media.\n\nPOST 2: \"Gun Control - Watch What Happens When Guns Are Banned\" A short documentary of the effects of gun ban in Australia.\nREPLY 2: The results of Australia's Gun Ban: Armed Robberies UP 69% Assaults With Guns UP 28% Gun Murders UP 19% Home Invasions UP 21% The video's description on YT.\n\nPOST 3: Because someone engaging in illegal filesharing will supply truthful information 100% of the time, and software is impossible to alter.\nREPLY 3: Just how many times will we hear of some new 'unbreakable' DRM method that invariable ends up being cracked a week before release date?\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:043", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: The robust and revered PvP community would literally flood this sub literally everyday with literally 100 threads if they literally decreased the cost and literally destroyed the LLD PvP item economy.\nREPLY 1: Because PVP is shit upon all the time, I don't even think they initially wanted to implement it and the support is still very low (not that it should take priority from the base game) I guess there's always high level pvp as an option but low level seems to be more challenging you work to min max your gear; you don't have a ton of passives to influence said build it was just very interesting as a mode when it initially dropped.\n\nPOST 2: If by \"too hard\" you mean \"completely disregarded my feelings on the issue in order to fulfill some fantasy\" then yes, yes you did.\nREPLY 2: I'm thinking to set himself apart he should make a dick pic collage set to music and just send the link out.\n\nPOST 3: I love it when gamergaters try to disguise their origins as anything but a smear campaign started by a bitter ex boyfriend posting on 4chan.\nREPLY 3: Yeah, it's not as if the _first ever use of the hashtag_ was someone retweeting an attack video about Zoe Quinn (and in the process ruining my ability to watch Firefly ever again) or anything.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:045", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: No, no, no... you must mean off duty cops beats an innocent man half to death before stripping him of his wallet containing $120,000, don't you?\nREPLY 1: Public sentiment rating of this charitable act is discovered to be insufficient to offset the negative public sentiment towards police in general after the Ferguson shooting autopsy results are released.\n\nPOST 2: Well isnt it fantastic that all the ceres has: - multiple vanu outfits which can field a platoon - NC outfits that dont zerg everywhere, and go to hard fights, valuing fun over winning at all costs\nREPLY 2: I actually get de-motivated when my faction has majority pop, I'm a lot more amped to play when there's more targets and less team-zerg.\n\nPOST 3: But then employers wouldn't be able to hold the livelihoods of employees over their heads.. how would anything get done?\nREPLY 3: If the Liberals pull this off, and pot/electoral reform, it's going to be hard to not vote for them next election.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:046", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: That's some good use of their time and international aid... keep up the struggle for \"freedom in Palestine\" *through terrorism*\nREPLY 1: You know your government is a mess when the people they call your enemy is spending more time, effort, and money taking care of you.\n\nPOST 2: Anyone who ever brags about their IQ or is asking others about their IQ is never as smart as they think they are.\nREPLY 2: I knowed he was very smart as soon as he said he was a trump supporter because trump is very rich which means he is very smartly\n\nPOST 3: I am glad the only thing I had in high school was an early version of Live Journal that no one else used.\nREPLY 3: Ah yes but MLK was homophobic and Einstein stole all his ideas from his wife so *they* were unimportant\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:047", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Mariota Jesus he has an arm... I'm dreaming, but with good nfl coaching and the right attitude, he can be huge.\nREPLY 1: I haven't seen anything from him that makes me think he'll be more than an okay QB at the next level.\n\nPOST 2: Regardless of the fact that he ran or how minor the crime may have been, the officer wielding the baton needs to be retrained.\nREPLY 2: Let's be fair, jaywalking is dangerous, he might have gotten a broken leg, so they had to break his leg themselves, for his own protection.\n\nPOST 3: TIL that the USS Acadia was the first US Navy ship to house a wartime mixed sex crew and was unofficially nicknamed 'The Love Boat' after 10% of all women on board became pregnant during deployment\nREPLY 3: Maybe there was a reason women weren't allowed to join the military years ago, and it wasn't a grand conspiracy by men to keep them down?\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:048", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: gay, weird person: haha, u know that relatable thing where gay people never say the most hurtful shit you can think of because homosexuals don't have real feelings?\nREPLY 1: This also suggests that a \"normal\" person isn't straight... Even though the vast majority of the world is straight and is considered the norm\n\nPOST 2: If they make you try to accept that communism includes in it always totalitarianism terror (false), make them accept that capitalism includes in it always sweatshop labor, unemployment, child labor, imperialist war, plague, etc (true).\nREPLY 2: \"The Black Book of Communism\" - A totally 100% accurate, unbiased, peer-reviewed, well-cited, and widely accepted work by a group of highly-esteemed and well-regarded historians\n\nPOST 3: Because they'll get sued for having unfair advantage over the rest of the market and cannibalize the gaming industry.\nREPLY 3: One of the worst moments of my life was when I realized some time around last year that holding F allows you to escape the yeti...I SPENT YEARS WORRYING ABOUT THAT FUCKING YETI\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:052", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Lebron spectating from the sidelines during the last two minutes of Game 1 of the 2014 NBA Finals because of cramps\nREPLY 1: ITT: People who think they understand the human body, but really don't have a fucking clue how it works.\n\nPOST 2: Bernie should say: \"Enough is enough,\" which is a magical incantation that has a real world effect on people.\nREPLY 2: i love sanders but it seems like there just trying to get them to agree with ideology they just don't match up with\n\nPOST 3: I wonder if attempting to take rights and privileges off people, because they are or aren't a certain race, is in any way racist.\nREPLY 3: Yeah and blacks wearing crosses and parying to god are racist appropriation scum because obviously christianity is for semite and european people only.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:056", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: \"But how will they make money if they don't mercilessly sue anyone who comes close to developing a similar technology?\"\nREPLY 1: If you want to see a kick ass race car with a lot of futuristic engineering scope out the new Porsche at Le mans.\n\nPOST 2: I find the implication problematic that as long as you're not yelling obscenities nothing you do can be considered racist.\nREPLY 2: Yes, I'm sure they traveled to the most diverse city in America to celebrate their families confederate legacy and not troll the rest of us who recognize the subtext\n\nPOST 3: I don't know what is worse, the chaos that ensured or the failed talking points they presented at the event\nREPLY 3: As a white male I can totally confirm the disenfranchisement bit... why the other day a black guy had the nerve to make eye contact with me!\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:057", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: this is why you need to be on constant guard against the power of your government to attempt to control you.\nREPLY 1: Gosh, I don't understand why everyone is so up in arms about India taking a pragmatic step toward solving their gang-rape epidemic.\n\nPOST 2: USDA threatens to shut down Foster Farms plants | Nearly 300 people in 17 states have been sickened by a serious salmonella outbreak linked to Foster Farms chicken processing plants in California, and the Centers for Disease Control says there may be many more instances that have gone unreported.\nREPLY 2: See, all that government regulation is stifling the free market so much that as soon as the Fed takes a short break, these businesses are able to save tons of money by not following regulations.\n\nPOST 3: I expect to see groups like the UN and Amnesty International launch an investigation over the genocide of protesters and condemn turkey multiple times .\nREPLY 3: Kurds are not going to convince turks to risk their own lives to defend Syrian cities by rioting in the streets and killing innocent civilians.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:061", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: And the iPad was made in CHINA and Apple contributed money to the CLINTON FOUNDATION so, well, as you can see there is SMOKE and a FIRE\nREPLY 1: Am I wrong in saying that every time I receive an email there is a copy on the senders machine and every time I send an email there is a copy on the recipients machine?\n\nPOST 2: \"The EULA will not be updated with these allowances; instead, they will be a part of a larger document, the Commercial Use Guidelines, which defines acceptable commercial use of the Minecraft name, brand and assets, including Minecraft servers.\"\nREPLY 2: So, we have to keep track of twitter accounts, blogs, reddit posts, and now, a customer service portal to know the full extended EULA?\n\nPOST 3: Devils advocate: Maybe he means his ex literally set him on fire and he looks like Freddy Kruger now.\nREPLY 3: I look at them and see nothing but worthless cows but for some reason they don't appreciate a nice guy like me.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:065", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: It would be sexist to *harass* and *expose* an outspoken feminist advocate with details of her tax arrangements which she has only been forced to make to protect her privacy from creepy male fanboys.\nREPLY 1: The easiest way of dealing with stories you don't like is to ignore them and pretend they never happened.\n\nPOST 2: Morty you got - you gotta play the drums, Morty you gotta *burp* you gotta play em and march with the rest of the guys Morty\nREPLY 2: I fucking hope to god that they see this and some how make a weird time travel episode where they're fucking around with the revolutionary war and this somehow works its way into things.\n\nPOST 3: LPT: Always leave bottles of water in your car incase your car breaks down in the middle of nowhere.\nREPLY 3: In Arizona during the summer is over 115 degrees for majority of the day, a bottle of water will be hot enough to cook top ramen.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:067", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Al pacino sends hate to chilean national team x) he said not even his character in The Devil's Advocate was as evil as this chilean team\nREPLY 1: For those who don't know, Al's girlfriend is Argentine and apparently he's been watching the Copa America.\n\nPOST 2: 1800+ damage in 3s **TOTALLY** doesn't need a nerf since quick melee literally kills him and deletes the character from the roster and revives your entire team.\nREPLY 2: they should nerf his dreadspin2win but only after they improve the rest of his kit so it isn't his only good option\n\nPOST 3: Then they should take into account injuries and unjust suspensions and give us a bye into the final four cause of Booth and Spellman\nREPLY 3: well hopefully the committee takes into account that Collin Hartman has been out all season and OG has been out and Blackmon missed time :(\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:073", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Walmart is getting nervous about this year's Black Friday protests, and has asked judges in two states to bar protests from its stores\nREPLY 1: Hey Walmart, if you're nervous about protests, how about you address the issues people are protesting instead of attempting to silence them.\n\nPOST 2: Cory is the real deal, good job Lou.... Now figure out how we can score goals and I smell Stanley Cup run\nREPLY 2: I thought that he wasn't very good because the team, by sheer luck, has scored fewer goals in front of him.\n\nPOST 3: I think they should just reduce shoulder size on orcs again, the community really seemed to like it the first time!\nREPLY 3: The mail mists of pandaria questing blue/greens have only the left shoulder, unfortunately it's kinda if ugly and somewhat hard to transmog.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:075", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Come on man, you know a lot of folks here have a raging hard on for nintendo, you can't criticize it here\nREPLY 1: Nintendo's newest console has split screen though... Other consoles rarely have split screen though.\n\nPOST 2: I'm getting ready to step my 980 up to the ACX 2.0 card, hopefully its nice and quiet like it is on the 980!\nREPLY 2: In recent news, EVGA has unveiled the 980ti ACX, ACX 2.0, FTW, FTW+, SC, SSC, SSC+, Classified, Hydro Copper, Hybrid, SC+, ACX 2.0 SC, ACX 2.0 SSC, and many more to come!\n\nPOST 3: This must be the same alternate universe where people stand on the point, stay behind the choke, and notice that Mercy is being followed around by an enemy Reaper.\nREPLY 3: Idk man a character that can revive her entire team and recharge that ult in seconds should be able to mow down a couple guys by herself\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:076", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Translation: \"I couldn't say this in public because decent people would see who I really am; which if of course, is a disgusting piece of human trash.\"\nREPLY 1: You could've told him you've recently been promoted to lieutenant colonel bitch, and to get his goddamn facts straight.\n\nPOST 2: There would be no demand for shitty Mexican weed if American growers could legally sell their crops.\nREPLY 2: DONT BE MAD WE ARE PROVIDING JOBS TO COUNTLESS BORDER PATROL MEN AND DEA AGENTS AND DRUG CARTEL BOSSES AND GANG MEMBERS AND THE POLICE TO ENFORCE THEM AND THE PRISONS TO HOLD THEM.\n\nPOST 3: Amazing what impact a brief run in with a small business owning Swiss banker concerned citizen can have on the polls.\nREPLY 3: People apparently realise that it might be fun or cute to support SF when there's no prospect of them actually being allowed run anything, but it's not nice risking them getting seats because we'd be FUBAR within half an hour of the election.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:078", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Yes, because lets let people unrelated to the family decide what should and should not be in the will\nREPLY 1: Both siblings are probably going to federal prison for life, either for kidnapping or criminal negligence or some other kind of felony, so they're not going use it anyway.\n\nPOST 2: That's hardly a brilliant response that's him basically admitting he never tries to write an unbiased story.\nREPLY 2: A journalist serves state power, and the state has a vested interest in journalism for which it's afforded control.\n\nPOST 3: By doing this, Erdogan delegitimatizes his own government and by making peaceful change impossible, he will make violent revolution possible.\nREPLY 3: But what about that Erdogan is the first ~~dictator~~ president that gave Kurds more rights and be humble about it ?\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:081", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: This attitude is a good reason for kicking the most hardcore supporters of Bernie out of the Democratic party.\nREPLY 1: Based upon this statement that you will not support Hillary, you clearly are a sexist pig supporting the oppression of the patriarchy.\n\nPOST 2: America, why do you need 18 months to figure out who to vote for and how are some of you still not decided?\nREPLY 2: Well they're both shit and I need time to figure out which is going to do the least amount of damage\n\nPOST 3: Punishing your children by destroying their posessions with firearms is definitely good and not at all fucked up.\nREPLY 3: Now if his grandmother had pulled a knife on him when he was 9 they would not be having this problem.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:082", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: There is such a long tradition of presidential candidates releasing transcripts of their speeches as private citizens.\nREPLY 1: Trump has released: * Tax Returns: No * Speech Transcripts: No Clinton has released: * Tax Returns: Yes * Speech Transcripts: No Your move, Trump.\n\nPOST 2: I'm gonna take up for SRS here, I would bet good money that anytime an SRSer \"indulges\" a SAWCSM with pics of the naughty bits, well, I get a little bit scared just thinking about it.\nREPLY 2: With 321,885 people subscribed to that sub, yea people are just egging on women and they truly don't want to be photographed nude\n\nPOST 3: They're trying to save the woman in Tunisia who's threatened with death by stoning for having topless photos.\nREPLY 3: How dare they not be appreciative of these Femen women putting themselves at zero risk by safely flashing their tits in nice comfy western countries.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:083", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I just love people who are pro-life as long as the rest of us have to pay for their children and then deal with the psychopaths they become when their parents are too self-obsessed and in love with their own drama to even take the most basic care of them.\nREPLY 1: I came here to ask for help and advice and all you people have done is beat me down and call me a horrible mother.\n\nPOST 2: that's fantastic, all we need to do now is completely neutralize school shootings and our kids will never have allergic reactions to vaccines!\nREPLY 2: There are school districts where shootings are a fact of life, and if you think about it, metal detectors are common in schools in the USA BECAUSE kids have been brining guns to school and shooting each other well before Columbine.\n\nPOST 3: With Kanye announcing his run for Presidency in 2020 and Trump running for 2016, we are literally one step closer to Idiocracy.\nREPLY 3: If I had a gun with two bullets and I was in a room with Hitler, Bin Laden, and Kanye... I would shoot Kanye twice.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:085", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Assuming Bombardier would even deliver them, why would the TTC just throw them away by running them into things?\nREPLY 1: driverless buses results in -more fare evaders -more lemmings bunching at the front of the bus -loud music -drinking on the bus -blowjobs in the back\n\nPOST 2: Australian child molester Peter Scully faces death penalty in Philippines - Scully \"filmed his torture and rape of young girls as he made them dig their own graves\" and \"laughed, joked and acted nonchalant about his alleged crimes\"\nREPLY 2: As an Australian who does not support the death penalty, I'm glad we don't have it in our country but I don't mind seeing a nasty piece of work like this guy getting it.\n\nPOST 3: Since \"schoolgirl\" sounds perverse and has a really negative connotation, we should use the term \"kickass female students\"... Rolls right off the tongue\nREPLY 3: Well they are schoolgirls, that people associate it with something dirty in the US/UK is really more a reflection on those countries (and it doesn't seem to me that any dirty association is intended in the article).\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:087", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: MAYBE YOU PLAY SOME OF THOSE ONLINE GAMES, BUT WE ARE DOING OUR BEST TO MAKE THEM UNAFFORDABLE, YA WANKER\nREPLY 1: It's a pretty good game, heard they recently cracked down on some marketplace gambling or something.\n\nPOST 2: Sometime I think we should do something to help Mexico, we aren't as great as we think we are but they have some next level problems.\nREPLY 2: well, if they can't make their money selling the pot anymore, they'll just have to make their money selling stuff to counteract the munchies instead, won't they?\n\nPOST 3: Claims that American hospitals are not ready for Ebola is an understatement, I don't think the CDC is ready for Ebola.\nREPLY 3: Come on, *everybody* knows that Ebola couldn't spread in the US that has 'the best medical care in the world'.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:094", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Riot, we need a Dragonslayer Vayne chroma pack so her skin can match the rest of dragonslayers line we need red dragonslayer vayne\nREPLY 1: I always though the dragonslayer skins were supposed to be each of shyvanas skins, and vayne was ice drake.\n\nPOST 2: Not really in my experience, whenever it has there has been some small rock or something in front of me.\nREPLY 2: It's just Stalinclay, like Stalinwood trees, nothing except the strongest of Soviet tanks can pass into this Godlike area without being destroyed\n\nPOST 3: Only in places like the US where the economy is so weak, and the population is too poor to have universal healthcare like every other developed nation.\nREPLY 3: It'll backfire on the party of socialized defense; people will start to wonder why we can't just crowdfund _everything_.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:095", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: They're in Europe, but the racist wolf was supposed to refer to the \"Negro\" as an \"African-American.\"\nREPLY 1: If when I'm 70, I'm getting called racist for saying 'black' instead of this bureaucratic term 'person of color', I'm just going to laugh at the pettiness.\n\nPOST 2: I submit a motion to have the title of this thread changed to \"Bugs on PC ARE presents\" so as to not have the feedback be deemed \"too negative\" to address.\nREPLY 2: The bug I keep getting is when a stun grenade goes off and I have to alt-f4 if the sound doesn't go away, even in freeplay or other matches.\n\nPOST 3: Worst is the tenured academics who continue to act like there's an election to be won, oppressing the views of normal people in education with their batshit ideas about gender.\nREPLY 3: This sub wants bannon fired too, gotta get rid of the alt-right even if you take the party down with it\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:096", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: well, i'm sure glad to know where my tuition goes, and why it needs to be raised often to ensure \"quality\" education\nREPLY 1: Seems like fraud is pretty common at universities, I remember that in 2012 the University of Waterloo found out that an employee had stolen 955k from the university back in 2011.\n\nPOST 2: its so true, the warriors have spent the past 2 years struggling to find answers to challenges... they cant seem to figure out how to face different types of teams, they are only really good against one or two play styles\nREPLY 2: If GSW beats OKC will Barkley wear a shirt that reads: Question: Kanter & Adams Answer: Golden State Warriors\n\nPOST 3: This is why we should leave the EU, because they're upholding our rights and safeguarding our future.\nREPLY 3: Good news - can anyone with some knowledge on the subject do an ELI5 as to what this means for us UK citizens?\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:097", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I don't blame Cruz for being a real life Elmer Gantry, I blame the idiots who voted for his dumb ass.\nREPLY 1: and that's why the good people of LA and NY should protect their 2nd amendment right to carry concealed nukes.\n\nPOST 2: Threatening a nation with military action, what a great fucking idea to stop them from entering a defense pact!\nREPLY 2: Yeah, and with Finalnd being part of the Nordic Battle Group.... I don't think you wanna attack Sweden and have Simo Hayha's decendents stacking russians higer than the treetops.\n\nPOST 3: Atheist academic calls for religion 'to be offended at every opportunity': Dawkins says it's ridiculous to be accused of racism when you criticise Islam\nREPLY 3: I think a lot of people get it wrong, here's a simple guide: **When you should offend** - When people are unfairly asserting themselves on you - When people believe in capital punishment even though it is fucked up, has been abandoned by most of the world, and doesn't act as a deterrent or save prison space or money - When people believe in flogging, amputation and other disgusting 'punishments' **When you should avoid offending** - When people have beliefs that seem silly to you but are not realistically causing problems - When you're doing it for no other reason than because you can - When it's divisive and doesn't actually help the situation (i.e., cause people to change their minds)\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:098", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: With the Farage, Galloway, Gove dream team, I'm sure we'll have plenty of informed discussions, factual statements, unfudged statistics, and polite and civil behaviour.\nREPLY 1: Personally I'm going to enjoy the next 4 months of people with multiple accounts, vote gaming and fucking about.\n\nPOST 2: It almost sounds like they are accusing the CIA of being less-than-forthright about their methods... I find this hard to believe\nREPLY 2: It boils down to the following question: Can and should a democratic society afford a powerful blackbox that is beyond the control of the public?\n\nPOST 3: And now because of the actions a clearly unhinged person under the extreme distress of being a Palestinian in Israel right now, let's all make blatantly racist sweeping statements demonizing all Arab Muslims.\nREPLY 3: But its totally not radical Islam though it doesn't matter that his own mom and media called the murderer a martyr and praised Alla.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:101", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: But you must admit, it is still 1000x better than those who watch only 1 news station each day (which most people over 40 probably do).\nREPLY 1: Bro, the american people are on the brink of revolution because they are so upset about Edward Snowden!\n\nPOST 2: Everybody knows the amount of food you eat has nothing to do with your weight so the starving people could have been curvy.\nREPLY 2: Obvious troll, who the fuck can't reason that they aren't overweight in the movie because they were STARVING\n\nPOST 3: When RW is complaining about their own party - maybe someone in the GOP will listen - I'm guessing not.\nREPLY 3: I am very happy that those republicans are reducing my rights, freeing me to do more work for our 1% masters!\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:104", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Clearly this loss means nothing because we have already wrapped up the league and are comfortably the best team in Europe.\nREPLY 1: I don't know if i've watched too much Barca but I can literally predict what Barca are going to do 10 seconds before it happens, so boring.\n\nPOST 2: I think he does care, but with all these cameras watching he can't figure out how to make them murder each other and keep the preteen daughters of the opposing team as sex slaves.\nREPLY 2: i am a bear fan, badger fan, and Russel wilson fan until i heard and saw him crying about how god loves him best for letting him win...What stupid shit...thanks aaron for having guts to say the truth\n\nPOST 3: That nigga ain't now a success nigga that nigga BEEN a success nigga he BEEN fuckin steph curry with the shot fucken nigga don't know what they talkin is fuckin fuck boi\nREPLY 3: Thanks title for clarifying that Seth Rogen was a success on \"Freaks and Geeks\" unlike his castmates.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:106", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: He did a lot of good things at Oregon I never understood why people thought it wouldn't translate to the NFL , I would like to see him gain a bit of weight though\nREPLY 1: But he'll never be a good pocket passer coming from a spread offense that had all his receivers wide open.\n\nPOST 2: Plot twist, \"Elon Musk Creates Sinkhole at UC Berkley, 131 protestors dead, further injuries unknown\" \"Sorry guys I work for Trump daddy now\" Elon Musk\nREPLY 2: If this thing eventually delivers high speed transit across LA it will be one of the greatest things in history\n\nPOST 3: The Federal government needs to stop passing these expensive regulations which put an exorbitant burden on these honest corporations which will always have the best interest of their employees at stake.\nREPLY 3: Just have the rookies pay for them as part of their hazing instead of making them pay for $50,000 dinners.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:111", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Mass breakout from Brazilian jail after female inmates in fantasy police costumes seduce prison wardens - 28 prisoners escaped, including the boyfriend of one of the temptresses\nREPLY 1: Brazil is so awesome that 3 chicks in lingerie offering to have an orgy with a bunch of cops doesn't seem that suspicious to trained law enforcement personnel.\n\nPOST 2: Israel has had great relations with Iran pre-revolution and nothing has changed since then, Iran is the one refusing to normalize relations.\nREPLY 2: Yes, as long as Israel's ideology is to be a safe haven for the Jewish people, Iran would strive to destroy it.\n\nPOST 3: This narrative being out in the public discourse doesn't benefit the Chargers at all, I wonder why sources informed this guy about it\nREPLY 3: There was another one right below where he replied to himself and said the Chargers don't even plan to attend.. I really want to know what's going on\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:112", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Obviously this means heavy ammo is getting nerfed and now you're gonna have to pick up both boxes to actually use heavy\nREPLY 1: My guess would be a test build, where either it's a way to get unlimited ammo, or just a visual bug.\n\nPOST 2: they try to hide it, they have to get used to us finding everything, there is nothing to hide anymore, they will constantly get caught in lies.\nREPLY 2: \"But Islam is a religion of peace and love and real terrorists are cis white manspreaders on the subway\"\n\nPOST 3: People working in television: When an actor finds out his/her character is about to be \"killed off\", how does that go down and have you ever witnessed it going poorly?\nREPLY 3: I'm just imagining a guy playing Macbeth reading through the end of a script and getting pissed off.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:114", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: \"wants to help working families\" Well, then no party better than the Republicans which have passed so many great pieces of legislation that's helped working families over the last 3 decades.\nREPLY 1: Uhhhh, there's this little thing called trickle-down economics, it hasn't been tried in the US yet but from what I've seen and what Carson told me personally at a book signing event it could work really well\n\nPOST 2: Yeah, that 85 year old woman who was raped and murdered was a diabolical monster that just had to be stopped.\nREPLY 2: Then catching them and throwing them in jail or executing them would still be part of our timeline, thus we have an obligation to carry on as though we know none of this.\n\nPOST 3: \"Zonas francas de inversion privada con incentivos fiscales\" Por fin, alguien pensando inteligentemente.\nREPLY 3: pues eso no es un secreto, esos subsidios e incentivos ya los estoy saboreando mientras sigo negreando a mis empleados\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:116", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: If you want to understand the mindset that led to those \"she can't consent while drunk but he can\" posters, here's a video that explains how we got there.\nREPLY 1: It's that kind of shit that pisses me off and will get a lot of rape cases thrown out eventually when defense attorneys catch on.\n\nPOST 2: Its unnerving to think that ISIS may now be targeting unstable, angry and severely depressed people and luring them into terrorist acts with promises of significant compensation for the family.\nREPLY 2: How bizarre and unexpected, given how much I've heard on reddit about the attack having nothing to do with Islam.\n\nPOST 3: I'm loving the response that tells OP to key her own car to show her mom that putting political stickers on cars is a bad idea.\nREPLY 3: I'm not a huge fan or supporter of Donald but certainly would love to see the pussified crowd's reaction to his election.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:117", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Building a wall is more important than the plight of minorities in Flint Michigan under a Trump presidency.\nREPLY 1: and there are many cities much worse than flint, they just don't have a predominant black population to push an agenda\n\nPOST 2: I love when people tell others to go commit suicide for the slightest infraction or act like they are better than others because of their wealth or social justice ability.\nREPLY 2: Unfriendly reminder: If you seriously care about this stuff, you should really put down the comics and your phone and go outside and play more.\n\nPOST 3: Let's be honest, everyone knows that Satan put those dinosaur bones there to spark disbelief in Christianity.\nREPLY 3: I wonder how Chrsitians are going to respond considering they believe the earth is only a short thousand years old.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:118", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Careful saying you're fat ANYWHERE on Reddit... that seems to be a rage-trigger for a lot of people.\nREPLY 1: That end comment tho... because women who have piercings, tattoos, and have dyed their hair can't be good mothers, OBVIOUSLY.\n\nPOST 2: I think Rolando McClain could develop into the next Lawrence Taylor with the Cowboys, this is probably the best move the Cowboys have ever made\nREPLY 2: But but, its a Jerry Jones trade lets all make fun of the stupid Cowboys trading for a retired player!\n\nPOST 3: If you registered an account to any website that had a data leak (includes yahoo, osbuddy, ESEA, and thousands more) and if it would be possible to correlate your account login with that, you can most likely be hacked.\nREPLY 3: 90% of the reddit post says they got hacked and have ''max security'' so are you telling all of them is a lie?\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:120", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: PC is for true enthusiasts, tell the kid he is a filthy casual and have fun buying a new console to run games at 30 FPS every few years.\nREPLY 1: Can confirm: I often hack the FBI and use their system resources to remotely run Dying Light at 30 FPS\n\nPOST 2: Try to criticizing this decision is by itself an act of anti-Semite racism ... and, why not, act of terrorism!\nREPLY 2: The ADL is a racist group for trying to stop people from speaking out against these evil acts against Palestine.\n\nPOST 3: The tragedy of the Arabs: Why Arab countries have so miserably failed to create democracy, happiness or (aside from the windfall of oil) wealth for their 350m people is one of the great questions of our time.\nREPLY 3: It's baffling because Westerners can't come to terms that the destruction of the Middle East started with British Imperialism.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:122", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Yeah, it pulled such huge numbers when they used to run the tours that they had to shut it down and convert it to a gift shop instead\nREPLY 1: MONA is fairly overrated, staffed with all the type who are too alternative for mainstream australia, some mediocre modern art and all the \"culture\" that middle class white people so desperately pretend to understand\n\nPOST 2: I feel all warm and fuzzy about how pretty much every American, especially Republicans, are full blown email security experts.\nREPLY 2: Yeah, much easier to set up a third party server then to just use the stupid email address given to you by the government.\n\nPOST 3: Why nerf priests when all they can do is take a strong monster from someone with no counter play which takes no skill at all?\nREPLY 3: No, they are nerfing starving buzzard and they literally said \"because players in the copper league can't deal with it\" I play paladin.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:123", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Ukraine teammates Yarmolenko and Stepanenko clash during Shaktar Donetsk v Dynamo Kiev, leading to mass brawl.\nREPLY 1: For Euro 2016's sake, I hope this just destroys the dressing room for the tournament and they get turned over by everyone in their group.\n\nPOST 2: Perhaps she needs cash to support her newfound meth habit - she's not sleeping, she's paranoid, she's hearing things, she thinks massive wads of cash are only \"a drop in the bucket\" even though she works full time as a nurse; there literally is no other logical explanation.\nREPLY 2: A lot of people seem to be suggesting manipulation, but I initially thought PTSD or some other hallucination-enducing condition.\n\nPOST 3: ofelia_loves_tseliot wrote: DAE think that we live in a meritocracy and that free market capitalism is an inviolable ahistorical utopia?\nREPLY 3: SammyTheKitty wrote: I mean, I don't have any statistics or anything, but I know how people in poverty work because logic or reason or something\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:124", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: If she considers it cheating for you to be with another woman, then its hypocritical for her to think it would be automatically okay with you for her to be with another man.\nREPLY 1: Then tell her you'll stick a finger in her when you fuck the other girl, so she'll get \"something out of it.\"\n\nPOST 2: Redditors once again feeling warm and comfortable, sniping safely from inside their middle class bubble.\nREPLY 2: I bet that redditurds are self-reliant captains of industry who have never committed the atrocious crime of receiving public assistance.\n\nPOST 3: Strange ,muslims on reddit often say islam \"promotes\" equality between men and women , have I been lied to ?\nREPLY 3: And I find the notion that anyone eligible for running for public office would be expected to ask for permission insulting and primitive.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:127", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Right, because anyone who's concerned about our poorly enforced border and immigration laws is obviously just racist and xenophobic.\nREPLY 1: Right and at the same time 90% of Romney's voters were white, a group who's size and influence drops every minute of every day... Hence the \"ruing\".\n\nPOST 2: Because people would think it's an MJ joke (referencing the south park episode) and next thing you know they're getting sued.\nREPLY 2: Well...that would hurt someone's feelings...and if there's anything a generation of snowflakes can't handle it's feeling bad.\n\nPOST 3: My family was so broke my brother and I had to SHARE our new christmas video game console like heathens!\nREPLY 3: Stump speeches are not the place for nuance and in depth discussion but I bet he tweaks the message slightly to reflect the more recent reporting.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:131", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: But then, if we did that, how would we be judgemental, and maintain our false sense of moral supremacy?\nREPLY 1: That's because, even though homelessness is an often permanent result of temporary setbacks, the US has a longlasting streak of social Darwinism in the guise of capitalism, and would rather see the mentally ill or drug-addicted die on the streets than admit a string of bad luck would likely put them in the same place.\n\nPOST 2: Because the endocrine system is not real and differing physiological effects of testosterone and estrogen are products of the patriarchy.\nREPLY 2: I heard there is a spectacular Masters program in Education at the University of the South Pole, gooo Penguins!\n\nPOST 3: If only there were some sort of stable, reasonably secular, productive government in place, willing to handle these clowns.\nREPLY 3: But remember folks, we must in no way let Assad stay in power because the rebels are freedom lovers.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:132", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Nobody has a right to complain about \"ableism\" with this shitty fucking excuse of an inaccessible CSS stylesheet\nREPLY 1: I personally would have preferred it if everyone that had treated me when my throat was swollen shut had not been breathing\n\nPOST 2: If it's anything like what they did for Spawn, expect the same models to come back, maybe 5 models for the same damn price\nREPLY 2: Isn't the standard response to this question rage more rage, table flip no they are just getting 32mm bases for the billionth X infinity time .\n\nPOST 3: Serious question, and this is not meant as a troll, but do we have a similar ban for international travel to conferences that are held in countries that have an anti-gay bias as well?\nREPLY 3: That sucks because I hear that North Carolina has a way to solve homelessness and our housing crunch but nobody with the city can go study it, officially.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:134", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: The face of the man who refused to give up his seat to an airline employee on an overbooked United flight as he is dragged off the plane after being assaulted by police\nREPLY 1: A friendly hint to United Airlines marketing department: this may not be how you build customer loyalty.\n\nPOST 2: Well, I did for the former... And its not like Putin gains from this, Obama has already flipped him off.\nREPLY 2: Are we supposed to downvote you for being an Obama-worshiper or for ridiculously accusing Conservatives of being Putin-worshipers?\n\nPOST 3: last time Glass played against the penguins we won so obviously glass is the answer against the top teams in the league\nREPLY 3: \"You need to trust your players\", so I'm going to turn around and play this giant pile of horseshit.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:137", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Exactly when Comcast and Time Warner raises bills they are actually creating new jobs that we all benefit from.\nREPLY 1: Nevertheless, it's obvious that becoming rich by exploiting those beneath you is a thing that happens all the time.\n\nPOST 2: It actually exists, but in the cases I heard of, the older memories would be with 2~3 years, not right after being born.\nREPLY 2: Ah yes especially due to the fact that they are being cultivated in a human farm to feed 8-9 ft tall demons during their strange rituals after the demons have killed them by placing a flower in their chest.\n\nPOST 3: Marcus Brigstocke courts controversy on Twitter by stating that the Scottish pro-independence campaign is predicated on \"...fingers crossed, fuck the Tories, William Wallace bollocks...\".\nREPLY 3: The only time I ever hear about Braveheart/Freedom/William Wallace in regard to Independence is when people here on *both* the Yes and No side have to tell supposedly informed commentators \"actually, it's not about that\"\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:138", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Is nerd shit will serve as a poignant reminder to future generations that we were the worst generation.\nREPLY 1: Oh look a give away, all i have to do is tell him my email, no address needed i'm sure they'll ask for my address when i win that watch that probably costs a bazillion dollars!\n\nPOST 2: Separation of Church and State, and Church and School is a must if we wont to civilize the people and children.\nREPLY 2: I'm sure separation of church and state, which we already have, will secure our southern border from illegal immigrants, drug dealers, cartel members, and terrorists\n\nPOST 3: The Middle East has a always had such a peaceful history, damn these super powers for ruining that clean track record!\nREPLY 3: The best part is, now that the USA is a net oil exporter cheap oil isn't necessarily desirable for them.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:141", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Kroger banned the redditor slash gun nut who carried his AR-15 into their store without permission, police will not file charges.\nREPLY 1: Just your every-day gun-nut: if you tell them they can't bring a gun into your premise they'll do it anyway - challenging you to stop them.\n\nPOST 2: The headline is misleading, if you read the full quote he's essentially saying that no religion should completely disown its extremists.\nREPLY 2: They behead people for not being Muslim, cut the hands off those whom they accuse of theft, Crucify apostates, how is that anything to do with Islam?\n\nPOST 3: Vote Leave : \"The interests of the people of Gibraltar are best protected by a strong and independent UK\"\nREPLY 3: That's why the voted 96% 'remain'... They know that the EU is their best guarantee, not least because it means the border has to remain open.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:142", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Because we are a community completely opposed to stealing, reposting, and claiming things that are yours that aren't.\nREPLY 1: Mostly because the staff of 9Gag go out of their way to hide the source of its content, claiming it as OC.\n\nPOST 2: Yes, what a surprise that the company that owns PC hasn't made their online services paid services yet.\nREPLY 2: More like sony at least throws the consumers a life raft with two free games per month with their paid online service.\n\nPOST 3: I see, so all Israel has to do is lower its level to that of its judges and it will get off scott free?\nREPLY 3: Yeah, those uncivilized baboons... We can't and shouldn't blame them for their barbarism - it's just in their nature, they aren't like us.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:143", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Yet when a bakery declines to sell a wedding cake for a Gay marriage- it's pitchfork and mayhem time.\nREPLY 1: **We Reserver The Right To Refuse Products or Services** ..unless we are a bakery in Colorado -or- a hobby superstore owned by christians.\n\nPOST 2: Imagine my face when my grandfather told me that THESE are what grow into the brown stuff on my cheeseburgers!\nREPLY 2: I usually thank the animal for its suffering, the earth which brought it forth, and God, who is working to make it right, before eating.\n\nPOST 3: Well if I remember correctly he was a big fat gladiator with virtually no real personality apart from \"smack it till it stops moving\".\nREPLY 3: Yes, i would LOVE to hear about subtle character development in a show that has motherfucking DRAGONS.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:145", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: It's true many people are so stoned they don't do anything and still rely on their elderly parents to feed and dress them.\nREPLY 1: the only problem is it makes you sleepy as fuck, and with lower energy already I bet gramps winds up being asleep most of the time\n\nPOST 2: Wait, I thought *Star Wars: The Force Awakens* was SJW propaganda that encouraged white male genocide?\nREPLY 2: Obviously the villains of every major piece if fiction of the past 5 years are SJWs, since they are in fact the greatest threat to America and freedom.\n\nPOST 3: I guess this means computers are screwed now, and there's gonna be some kind of apocalyptic human takeover.\nREPLY 3: This AI sure knows how not to push its luck, lest these \"inferior irrational monkeys\" decide to turn against it out of fear and jealousy and create a massive unnecessary conflict, which its logical mind would no doubt view as completely illogical.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:152", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Quello che ha scritto \"Se Dio ci ha messo sulla terra e non da qualche altra parte per una ragione\" dovrebbe essere sepolto vivo, come si puo' essere cosi' ottusi verso il progresso dopo le meraviglie che produce.\nREPLY 1: Si intanto lei va nello spazio pagata con i nostri soldi e passa le giornate su twitter sparandosi i selfie dallo spazio mentre in India ci sono due nostri eroi arrestati mentre difendevano la nazione dal pericolo e sono la da 3 anni, fate schifo tutti e vergognatevi.\n\nPOST 2: Glad we have folks like this on Tumblr to make the argument that transgender dysphoria is completely imaginary - literally just a product of your thoughts and wishes - it makes it so much easier for the assholes who actually want to oppress them.\nREPLY 2: You know, I'm supportive of trans people, but if you are biologically female, and identify as male, that does not make you biologically male.\n\nPOST 3: I completely agree but if you say some BM shit in all chat after a first blood or something expect me to reciprocate it when I'm destroying your nexus.\nREPLY 3: yeah because someone saying GG EZ once at the end of a game is worse than someone trolling or flaming everyone all game\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:168", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Can't wait for follow up article \"Bears potential to shit in the woods\" and \"Pope potentially Catholic\"\nREPLY 1: I don't think \"potential\" is the right word, I think they are already abusing it in any way they can to make money.\n\nPOST 2: Just a few more months of trying to explain to my kids why we can't ride the train when they see one roll by.\nREPLY 2: In before someone makes an ignorant comment about it not being able to solve 10-freeway traffic problems\n\nPOST 3: Lost it at the transparent one... Can we please stop saying bicycle, it has \"Bi\" in it and that is really problematic.\nREPLY 3: Hey, just a friendly reminder that some of us identify as pomegranate-kin, and that post comparing pomegranates to gore is really triggering, please check your non-fruit privilege and tag your pomegranate=gore posts plz uvu uvu\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:170", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Yes, but only because I wanted to find out more about them and since no one was there to ask the question I will never know the answer.\nREPLY 1: Reddit is such a huge circlejerk so I'm not surprised that only AMAs such as the 125th Bill Nye AMA are upvoted.\n\nPOST 2: Clearly this is Harmon's way of expressing his displeasure at finding out that he was going to be kicked off\nREPLY 2: Idk what phone she has but mine has a silver piece like that one at the bottom too, i have the Epic 4g touch s2\n\nPOST 3: Geologists who didn't predict an earthquake aren't killers, Italian court rules--seven scientists are free after appeals court overturns manslaughter conviction\nREPLY 3: From what I gather after the arrest of these geologists the USGS has banned their personal from working in Italy, co-operating with Italian geologists or even sharing data with their Italian counterparts for fear of it's workers getting dragged in to Italian kangaroo courts come the next earthquake.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:171", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Does anyone have that gif of the guy from the simpsons walking into the bar and immediately leaving bc thats how i feel\nREPLY 1: Everyone comes out of there shells so quick when it comes to this shit, love it, we should have more extensions to bring the community together!\n\nPOST 2: Yeah man black people should totally accept to be called \"rapists\", \"gangsters\", and \"toughs\", after all it's just a stereotype!\nREPLY 2: Well stereotypes towards black people usually come off as more offensive than being stingy with money or appreciating a good deal\n\nPOST 3: TIL: Thomas Jefferson argued that because no generation has a right to bind subsequent generations, the Constitution should expire every 19 years.\nREPLY 3: The founding fathers decided that the amendment process was a good enough way to keep the document pertinent with a changing and growing country.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:174", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I built a cheap backup device out of a car battery that keeps my home Internet on during power outages.\nREPLY 1: Maybe somebody can share some specifics... but I thought keeping car batteries indoors was a health hazard due to the hydrogen-sulfide gas they are capable of producing\n\nPOST 2: Yeah worlds is a much easier target than the Oktoberfest(which already got cancelled) in a few weeks.\nREPLY 2: Congratulations you just created the most stupid racist and ignorant post in this month in this sub reddit\n\nPOST 3: I work at a bank and people get mad at me when their isn't enough money in their account to cash a check\nREPLY 3: Actually the fact that the employee is working at such a high wage is the reason that the prices are so high, so that the company can make a profit.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:176", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Texas approves textbooks with Moses as Founding Father | \"Christian conservatives win, children lose: Texas textbooks will teach public school students that the Founding Fathers based the Constitution on the Bible, and the American system of democracy was inspired by Moses.\"\nREPLY 1: It's so incredibly ironic that the religious right is trying so hard to turn the united states into a theocracy just like the places they fear most in the middle east.\n\nPOST 2: Anyone that has ever actually tasted MDMA will know that there is little risk that children would eat those like candy.\nREPLY 2: Probably better watch out for those heroin dealers as well they are always more than likely to give away their gear to children, not to mention those weed dealers, geez!\n\nPOST 3: Maybe they'll finally figure out that Switzerland and Denmark, like many of their other idolized European utopias aren't actually Classically Liberal or even Socialist.\nREPLY 3: They probably should be sen as progressive, because that gold would have most likely have funded a future apartheid state anyways.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:178", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: New BLS report on women's earnings: Most of the 17.9% gender pay gap in 2013 is explained by age, marriage, hours worked\nREPLY 1: Part of me wants to tweet this link, but I have a feeling it would be worse than when I shit on #boycotstarwarsvii yesterday and got called a race traitor for four hours while people asked me if I'm jewish and why I deny white genocide.\n\nPOST 2: Whilst Elliot is doing a pretty good job for us at the moment, I'm don't really care that SKD is coming back this early - I'm glad they're waiting until the final outcome of the case rather then go off early like they did with Brett Stewart\nREPLY 2: Just takes a few weeks off and then walks back into the side, what a poor work ethic from the roosters.\n\nPOST 3: Considering how these weapons are considered less-than-lethal, shouldn't this crap technically constitute battery/attempted murder charges?\nREPLY 3: I'd hope that they'd have the decency to give the patriotic, anti-terrorist, hero paid leave before inconveniencing him with matters of legality, brutality, or morality.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:181", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: From the people who resorted to their own polling when they didn't like what they were seeing last go round...yeah, sure, right.\nREPLY 1: You mean, like the hyperinflation that conservatives promise every year is going to destroy us within six months?\n\nPOST 2: He's just so smart that he's feigning ignorance and bloodthirst so that MAD can be leveraged for finally stamping out nuclear proliferation\nREPLY 2: Can anyone explain the benefit of being able to destroy the Earth an 8th time over only being able to do it 7 times?\n\nPOST 3: Yeah, I once got 65 of the 75 tickets the attacking team had on rush before the admin kicked me for \"stated reason: likes cock in ass\".\nREPLY 3: I cant see why they would ever nerf AAs they seem completely fair especially considering they can kill tanks\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:182", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Everyone knows that no serious occultists employed ceremonial magic against the Nazis in WWII, and those who did only wanted fame and certainly didn't keep quiet about it.\nREPLY 1: One of the better posts here, but it's still full of half-truths, assumptions, and it wreaks of a lack of general practical knowledge.\n\nPOST 2: They didn't have satellite imagery and the weather channel giving them hourly updates on the storm's position.\nREPLY 2: Yeah its not like, the US won the pacific theater and basically was the financial and resource backbone of the allies.\n\nPOST 3: It just feels like if it is a DDoS, that should be grounds for the match to be rescheduled :\\ I mean if you can't even get into game, then nothing is really lost with it being rescheduled.\nREPLY 3: I heard that Real Madrid is not gonna play their next game cuz Ronaldo is injured and they don't have another player of such talent\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:183", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: The muftis and imams must be rolling around on the floor over this, they've managed to trick a portion of our population into celebrating their oppressive ideology under the guise of inclusiveness.\nREPLY 1: the tele reminds me of some old racist bat.. \" NO IM NOT RACIST,I JUST DON'T like black people as they smell.\n\nPOST 2: With the highly biased nature of Reddit on this subject, I don't believe you will get anyone to answer your questions.\nREPLY 2: Because if you trick stupid people, then their stupid kids will die, increasing the average intelligence.\n\nPOST 3: 9 out of 10 doctors reccommend for children to drink water instead of soda that 1 doctor lives in flint michigan\nREPLY 3: Oh man, yesterday at walmart I saw a women purchase a coke from the vending machine and use it to fill her baby's bottle.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:184", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Complain about how you said \"Well, that's the The International then\" and make fun of you until new hatz\nREPLY 1: Let's wait for the inevitable C9 disband and possible Secret disband, this year's post-TI roster changes will be the best.\n\nPOST 2: so when are the criminal charges for perpetrating this massive fraud scheme going to be handed down?\nREPLY 2: Good, I hope they win, fraudulent crony banksters won't go to jail, but hopefully they will get hit where it hurts\n\nPOST 3: There should be a \"friendly horn\" in cars that makes a little chirp or something to thank other drivers.\nREPLY 3: Horns and other warning devices You must not use the horn or any other warning device unless: Road rule in NSW say you can't use a horn unless You need to warn other road users that your vehicle is approaching You need to warn animals to get off the road The horn is being used as part of an anti-theft or alcohol interlock device fitted to your vehicle.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:185", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Yea, they can kill members of a foreign military no questions asked just because they flew in their territory\nREPLY 1: Perhaps but I guess it would depend on the circumstances (how far into it they were, how big it is to begin with, etc) before it becomes a huge political problem for everyone.\n\nPOST 2: You know how they say people become boring once they marry, gay people are usually funny as hell but what if this gay marriage thing make bores out of gay guys?\nREPLY 2: I just realized I don't think i've seen or met someone gay who doesn't act \"bakla\" or look like that in the Philippines.\n\nPOST 3: 50 people shooting in a dark, packed club while drinking would have made this a much better situation.\nREPLY 3: with music so loud you cant even tell if its gunfire till you see others running, by then probably a dozen were dead in a few secods\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:186", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: He's really just a creeper you can tell by the look on her face but he must be her boss or something so she tries to act happy that he's bringing her coffee.\nREPLY 1: She might think the camera/phone is a gun, and that half second before her realization is spent in complete and utter horror of death.\n\nPOST 2: There's this weird theory that the pope is like, leader of the Catholic Church and can interpret what God means\nREPLY 2: In Germany, there was a wacky conspiracy theory in the early nineties: that after the end of the cold war and the collapse of the Soviet Union, the NSA had re-calibrated their facilities here in Germany to now spy on ordinary citizens, business leaders, and western politicians.\n\nPOST 3: The investigators are investigating this case as domestic terrorism, even though there is nothing hinting at this being terrorism.\nREPLY 3: Every other local news station and could try music station around here is really throwing the word \"terrorism\" around.. Can't wait to see the response\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:188", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: You have to do more than cherrypick a few examples to prove that violence against men is a problem in videogames!\nREPLY 1: Before watching this I highly recommend everyone read the list of games in the description that are spoiled, so as not to spoil yourself on anything you might currently be playing.\n\nPOST 2: Just like * Sandy Hook * Aurora * Columbine * Virginia Tech * Washington Naval Yard * Bostom Marathon Bombing * Charleston Shooting and a host of others, am I right?\nREPLY 2: The proof presented here boils down to: * people getting shot immediately fall over dead * you can make out what's in another person's hand with your peripheral vision (especially if it's small and dark-colored) * co-workers would never keep their relationship a secret Well, I'm convinced.\n\nPOST 3: Voter registration records are public information, released by every state, including your address, etc, as well as which elections you vote in.\nREPLY 3: With voter participation in this country so low, what are they afraid of... someone finding out that they vote?\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:190", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: How the \"great and abominable church\" actually *is* the Catholic Church and all those weirdos in gospel doctrine were right all along.\nREPLY 1: What it's like to be a covert, and why it's important to reach out to all your Brothers & Sisters - not just the ones you've known since primary - in a YSA.\n\nPOST 2: This is a clear case of the Swedish population discriminating against the refugees and just not hiring them!\nREPLY 2: What's more than a little disturbing is that I'm sure more countries are going to start doubling down on how many they take in.\n\nPOST 3: A Treatise on Nature in Ireland: A Guidebook for Identifying Whether Things are Potatoes or Not Potatoes.\nREPLY 3: Yep, cause destroying a book that doesn't belong to you because you're a lazy sack of shit is totally rational.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:192", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Between this and some states allowing rapists to demand visitation rights to their children, it seems like the law likes to fuck over rape victims, male or female.\nREPLY 1: Obviously if it was legitimate rape his body would shut down sperm production and his penis would retreat into his body.\n\nPOST 2: Whites think discrimination against whites is a bigger problem than bias against blacks: White people think racial discrimination in America is basically over.\nREPLY 2: There is an atmosphere leftists have created over the past few years, it is open season on white males.\n\nPOST 3: Once you get in a quiet clutch situation you'll notice the music a lot more and it'll only hinder you.\nREPLY 3: you must be the fucker I scream at when there I can here someone when your last alive and you have no idea\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:193", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: I'm sure Durst enjoyed the series, considering he was an introverted teenager with serious confidence issues and a longing for acceptance from his father.\nREPLY 1: I haven't gone \"wat\" like this since I saw the page image for Cat Girl at TV Tropes (which is about a dozen kinds of wrong, but at least it isn't TEH REI).\n\nPOST 2: OH WOOOOOOOOOOOWWWWWWWW NICE TOP QUALITY JOURNALISM YOU GOTS THERE VICE, IT'S TOTALLY NOT SHIT, WWWWWOOOOOOOOOOOWWWWWWWWW.\nREPLY 2: I can't help thinking that perhaps you're approaching the bottom of the barrel if you're reduced to outrage that not enough women smoke weed because there aren't enough female potheads to be role models for them.\n\nPOST 3: Oh look the same 3 guys we see now all acting the same way HAHA SO GOOD but they only got better so now they all suck.\nREPLY 3: Based on the WWE Network microphone, I can only assume this is either the Extreme Rules or Payback pre-show.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:195", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: By the time the complete the FTTN rollout *surely* something will have been invented to facilitate this\nREPLY 1: Given that not even the 24Mbps of ADSL2 can be guaranteed over existing copper - unless you practically live in the exchange - anyone who thinks that 50Mbps is even remotely possible has been taking some serious pharmaceutical recreation.\n\nPOST 2: yes, you do this until the ward runs out, then he has no idea where youre headed, or do this until (hopefully) your team arrives before theirs, and they kill him\nREPLY 2: He could have popped his ult and hoped the Thresh ran towards him since he'd have to make a guess which way to run to get away.\n\nPOST 3: Hey now, shutting down government and coming up with new excuses to investigate Hillary is hard work, they need a well deserved break.\nREPLY 3: For those who don't know, \"bless your heart\" is a polite old southern lady way of saying \"get fucked\"\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:197", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: no it has not i can assure you look up \"beautiful\" in the subreddit absolutely 0 results will come out\nREPLY 1: It may come up fairly often in this subreddit, but I really never grow tired of seeing cool screenshots like this.\n\nPOST 2: It's games like these that keep the fandom going :P Do you have any idea when the game will be released?\nREPLY 2: This better be 60 fps with LK Mk HK LP MP HP buttons with quarter circles dragon punches and charge characters No one wants a crappy fighting game\n\nPOST 3: If you came to this thread looking for an intelligent discussion about rehabilitation, and what society can do to put troubled youth back on the right track, abandon all hope.\nREPLY 3: But he's only 16, his brain isn't fully developed, he Couldn't possibly understand hitting someone in the face with metal was bad\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sarc_triples:198", "request": "Here are three (post, reply) pairs from Reddit. Your task is to decide whether each reply is sarcastic. Specifically, label each pair with a \"0\" or \"1\", wherea \"1\" indicates that the reply is sarcastic, and a \"0\" indicates that the reply does not contain sarcasm, and provide your final answer as a comma-separated set of labels (e.g., \"1,0,0\" or \"0,0,0\").\n\nPOST 1: Very accurate poll that represents how most of the entire populace feels, especially when quite a bit of people reject the concept of universal healthcare that seems to work well in other countries.\nREPLY 1: Or just continue doing what the human race has done since the beginning of time - adapt and move on.\n\nPOST 2: Amazon is the only place you can purchase things online, Google is the only search engine, and Facebook is the only social network.\nREPLY 2: If I was teaching Critical Thinking, I believe the class could have a ball demolishing this stinking pile of false equivalencies, scaremongering, and bafflegab.\n\nPOST 3: Well, it's obviously all those long term holders now realizing they need to buy back in to make up for the theft.\nREPLY 3: People see that Bitcoins are cheap (compared to the $1200 peak), and jump on the opportunity to buy.\n\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:000", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Moby Dick, Bob gets The Odyssey, Claire gets Ulysses, Dave gets The Fellowship of the Ring, Eve gets Lolita, Fred gets The Pearl, and Gertrude gets Catch-22.\nAs the semester proceeds, they start trading around the new books. First, Dave and Claire swap books. Then, nothing happens for a while (let's call it Action 1). Then, Alice and Dave swap books (let's call it Action 2). Then, Alice and Dave discuss something (let's call it Action 3). Then, Action 2 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books (let's call it Action 4). Then, Fred and Claire discuss something (let's call it Action 5). Then, Fred and Claire swap books. Then, Claire and Bob swap books (let's call it Action 6). Then, Bob and Eve swap books (let's call it Action 7). Then, Eve and Bob swap books (let's call it Action 8). Then, Bob and Claire swap books (let's call it Action 9). Then, Action 1 repeats. Then, Action 1 repeats. Then, Dave and Alice swap books (let's call it Action 10). Then, Alice and Dave swap books. Then, Claire and Gertrude swap books (let's call it Action 11). Then, Gertrude and Eve swap books (let's call it Action 12). Then, Eve and Gertrude swap books (let's call it Action 13). Then, Gertrude and Claire swap books (let's call it Action 14). Then, Action 1 repeats. Then, Claire and Alice swap books (let's call it Action 15). Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Claire swap books (let's call it Action 16). Then, Action 2 repeats. Then, Action 10 repeats. Then, Action 12 repeats. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Dave swap books (let's call it Action 17). Then, Dave and Eve swap books (let's call it Action 18). Then, nothing happens for a while. Then, Eve and Alice swap books (let's call it Action 19). Then, Alice and Eve swap books (let's call it Action 20). Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Action 10 repeats. Then, Fred and Dave swap books (let's call it Action 21). Then, Dave and Fred swap books (let's call it Action 22). Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something (let's call it Action 23). Then, Gertrude and Eve swap books. Then, Fred and Claire swap books. Then, Claire and Dave swap books (let's call it Action 24). Then, Dave and Claire swap books (let's call it Action 25). Then, Claire and Fred swap books (let's call it Action 26). Then, Gertrude and Fred swap books (let's call it Action 27). Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Gertrude swap books (let's call it Action 28). Then, Action 27 repeats. Then, nothing happens for a while. Then, Bob and Fred swap books (let's call it Action 29). Then, Fred and Bob swap books (let's call it Action 30). Then, Dave and Bob swap books (let's call it Action 31). Then, Bob and Alice swap books (let's call it Action 32). Then, Alice and Bob swap books (let's call it Action 33). Then, Bob and Dave swap books (let's call it Action 34). Then, Alice and Bob swap books. Then, Alice and Bob discuss something (let's call it Action 35). Then, Alice and Bob swap books. Then, Action 9 repeats. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Action 6 repeats. Then, Fred and Gertrude swap books. Then, Gertrude and Dave swap books (let's call it Action 36). Then, Dave and Gertrude swap books (let's call it Action 37). Then, Gertrude and Fred swap books. Then, Alice and Gertrude swap books (let's call it Action 38). Then, Alice and Gertrude discuss something (let's call it Action 39). Then, Alice and Gertrude swap books. Then, Action 9 repeats. Then, Claire and Bob swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books (let's call it Action 40). Then, Bob and Gertrude swap books (let's call it Action 41). Then, Gertrude and Dave swap books. Then, Eve and Bob swap books. Then, Action 29 repeats. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something (let's call it Action 42). Then, Action 34 repeats. Then, Action 17 repeats. Then, Action 31 repeats. Then, Bob and Dave swap books. Then, Dave and Eve swap books. Then, Alice and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Action 15 repeats. Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, Action 1 repeats. Then, Alice and Bob swap books. Then, Action 34 repeats. Then, Action 31 repeats. Then, Bob and Alice swap books. Then, Bob and Eve swap books. Then, Action 8 repeats. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Action 19 repeats. Then, nothing happens for a while. Then, Action 33 repeats. Then, Action 34 repeats. Then, Dave and Bob swap books. Then, Bob and Alice swap books. Then, Action 1 repeats. Then, Bob and Eve swap books. Then, Bob and Eve discuss something (let's call it Action 43). Then, Bob and Eve swap books. Then, Action 17 repeats. Then, Eve and Dave discuss something (let's call it Action 44). Then, Eve and Dave swap books. Then, Action 12 repeats. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Action 13 repeats. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something (let's call it Action 45). Then, Fred and Gertrude swap books. Then, Action 40 repeats. Then, Action 29 repeats. Then, Action 30 repeats. Then, Bob and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Dave swap books. Then, Action 44 repeats. Then, Eve and Dave swap books. Then, Gertrude and Claire swap books. Then, Action 15 repeats. Then, Alice and Claire swap books. Then, Claire and Gertrude swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Action 27 repeats. Then, Fred and Gertrude swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Alice swap books (let's call it Action 46). Then, Alice and Gertrude swap books. Then, Action 20 repeats. Then, Eve and Dave swap books. Then, Action 18 repeats. Then, Eve and Alice swap books. Then, Action 46 repeats. Then, Alice and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Eve and Fred swap books (let's call it Action 47). Then, Action 28 repeats. Then, Gertrude and Fred swap books. Then, Fred and Eve swap books (let's call it Action 48). Then, Dave and Alice swap books. Then, Claire and Dave swap books. Then, Action 25 repeats. Then, Eve and Bob swap books. Then, Action 41 repeats. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 41 repeats. Then, Action 36 repeats. Then, Dave and Gertrude swap books. Then, Action 40 repeats. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Action 26 repeats. Then, Action 28 repeats. Then, Gertrude and Fred swap books. Then, Eve and Bob swap books. Then, Eve and Bob discuss something (let's call it Action 49). Then, Action 8 repeats. Then, Eve and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Action 18 repeats. Then, Eve and Claire swap books (let's call it Action 50). Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Eve swap books (let's call it Action 51). Then, Eve and Bob swap books. Then, Action 49 repeats. Then, Eve and Bob swap books. Then, Bob and Alice swap books. Then, Action 2 repeats. Then, Dave and Alice swap books. Then, Action 33 repeats. Then, Action 1 repeats. Then, Alice and Claire swap books. Then, Claire and Bob swap books. Then, Action 9 repeats. Then, Claire and Alice swap books. Then, Action 2 repeats. Then, Action 3 repeats. Then, Alice and Dave swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something (let's call it Action 52). Then, Gertrude and Fred swap books. Then, Bob and Claire swap books. Then, Bob and Claire discuss something (let's call it Action 53). Then, Bob and Claire swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something (let's call it Action 54). Then, Claire and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Dave swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something (let's call it Action 55). Then, Action 14 repeats. Then, Action 18 repeats. Then, Eve and Dave swap books. Then, Eve and Fred swap books. Then, Fred and Alice swap books (let's call it Action 56). Then, Alice and Fred swap books (let's call it Action 57). Then, Fred and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something (let's call it Action 58). Then, Claire and Alice swap books. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Action 17 repeats. Then, Action 28 repeats. Then, Gertrude and Fred swap books. Then, Action 33 repeats. Then, Action 35 repeats. Then, Alice and Bob swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Action 1 repeats. Then, nothing happens for a while. Then, Eve and Claire swap books. Then, Eve and Claire discuss something (let's call it Action 59). Then, Action 50 repeats. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Bob swap books. Finally, Bob and Eve swap books. At the end of the semester, Claire has\nOptions:\n(A) Moby Dick\n(B) The Odyssey\n(C) Ulysses\n(D) The Fellowship of the Ring\n(E) Lolita\n(F) The Pearl\n(G) Catch-22", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:001", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Rodrigo, Bob is dancing with Jamie, Claire is dancing with Patrick, Dave is dancing with Lola, Eve is dancing with Izzi, Fred is dancing with Melissa, and Gertrude is dancing with Karl.\nThroughout the song, the dancers often trade partners. First, Fred and Bob switch partners. Then, Fred and Claire switch partners (let's call it Action 1). Then, Claire and Fred switch partners (let's call it Action 2). Then, Alice and Gertrude switch partners (let's call it Action 3). Then, Gertrude and Fred switch partners (let's call it Action 4). Then, Fred and Gertrude switch partners (let's call it Action 5). Then, Gertrude and Alice switch partners (let's call it Action 6). Then, Alice and Fred switch partners (let's call it Action 7). Then, Fred and Dave switch partners (let's call it Action 8). Then, Dave and Fred switch partners (let's call it Action 9). Then, Fred and Alice switch partners (let's call it Action 10). Then, Claire and Gertrude switch partners (let's call it Action 11). Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Claire switch partners (let's call it Action 12). Then, Gertrude and Bob switch partners (let's call it Action 13). Then, Bob and Gertrude switch partners (let's call it Action 14). Then, Dave and Claire switch partners (let's call it Action 15). Then, Claire and Dave switch partners (let's call it Action 16). Then, Action 2 repeats. Then, Claire and Fred discuss something (let's call it Action 17). Then, Action 2 repeats. Then, Fred and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Fred switch partners. Then, Action 16 repeats. Then, Claire and Dave discuss something (let's call it Action 18). Then, Claire and Dave switch partners. Then, Dave and Eve switch partners (let's call it Action 19). Then, Dave and Eve discuss something (let's call it Action 20). Then, Dave and Eve switch partners. Then, nothing happens for a while (let's call it Action 21). Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Bob and Eve switch partners (let's call it Action 22). Then, Bob and Eve discuss something (let's call it Action 23). Then, Bob and Eve switch partners. Then, Dave and Bob switch partners (let's call it Action 24). Then, Bob and Dave switch partners (let's call it Action 25). Then, nothing happens for a while. Then, Eve and Fred switch partners (let's call it Action 26). Then, Eve and Fred discuss something (let's call it Action 27). Then, Eve and Fred switch partners. Then, Eve and Claire switch partners (let's call it Action 28). Then, Eve and Claire discuss something (let's call it Action 29). Then, Eve and Claire switch partners. Then, Claire and Eve switch partners (let's call it Action 30). Then, Eve and Bob switch partners (let's call it Action 31). Then, Action 22 repeats. Then, Eve and Claire switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something (let's call it Action 32). Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners (let's call it Action 33). Then, Alice and Eve switch partners (let's call it Action 34). Then, Eve and Alice switch partners (let's call it Action 35). Then, Alice and Bob switch partners (let's call it Action 36). Then, Claire and Alice switch partners (let's call it Action 37). Then, Alice and Claire switch partners (let's call it Action 38). Then, Bob and Claire switch partners (let's call it Action 39). Then, Claire and Bob switch partners (let's call it Action 40). Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners (let's call it Action 41). Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners (let's call it Action 42). Then, Action 26 repeats. Then, Action 8 repeats. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something (let's call it Action 43). Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Fred and Bob switch partners (let's call it Action 44). Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners (let's call it Action 45). Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Fred and Bob discuss something (let's call it Action 46). Then, Fred and Bob switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something (let's call it Action 47). Then, Fred and Eve switch partners. Then, Claire and Bob switch partners. Then, Action 39 repeats. Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, Action 9 repeats. Then, Dave and Fred discuss something (let's call it Action 48). Then, Dave and Fred switch partners. Then, Action 25 repeats. Then, Bob and Dave discuss something (let's call it Action 49). Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Eve and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Eve switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Action 21 repeats. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Fred switch partners. Then, Action 1 repeats. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude switch partners (let's call it Action 50). Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners (let's call it Action 51). Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, Action 22 repeats. Then, Eve and Fred switch partners. Then, Eve and Fred switch partners. Then, Action 42 repeats. Then, Fred and Eve switch partners. Then, Action 26 repeats. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something (let's call it Action 52). Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 6 repeats. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Action 16 repeats. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, Action 22 repeats. Then, Eve and Gertrude switch partners. Then, Action 51 repeats. Then, Eve and Bob switch partners. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Dave and Gertrude switch partners (let's call it Action 53). Then, Gertrude and Claire switch partners. Then, Action 11 repeats. Then, Gertrude and Dave switch partners (let's call it Action 54). Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Action 36 repeats. Then, Action 33 repeats. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Action 28 repeats. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Action 30 repeats. Then, Action 14 repeats. Then, Gertrude and Alice switch partners. Then, Action 3 repeats. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Action 2 repeats. Then, Action 21 repeats. Then, Bob and Fred switch partners. Then, Action 8 repeats. Then, Dave and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 11 repeats. Then, Gertrude and Claire switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something (let's call it Action 55). Then, Gertrude and Fred switch partners. Then, Action 21 repeats. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something (let's call it Action 56). Then, Action 53 repeats. Then, nothing happens for a while. Then, Action 10 repeats. Then, Action 7 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Action 12 repeats. Then, nothing happens for a while. Then, Action 21 repeats. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Dave and Claire switch partners. Then, Action 16 repeats. Then, Dave and Alice switch partners (let's call it Action 57). Then, Dave and Alice discuss something (let's call it Action 58). Then, Dave and Alice switch partners. Then, Action 3 repeats. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Action 50 repeats. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Action 57 repeats. Then, Dave and Alice discuss something. Then, Action 57 repeats. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something (let's call it Action 59). Then, Fred and Gertrude switch partners. Then, Fred and Claire switch partners. Then, Action 2 repeats. Then, Bob and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Action 54 repeats. Then, Action 24 repeats. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Action 16 repeats. Then, Action 57 repeats. Then, Alice and Dave switch partners (let's call it Action 60). Then, Action 15 repeats. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Claire switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Action 40 repeats. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Action 33 repeats. Then, Alice and Claire switch partners. Then, Action 37 repeats. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something (let's call it Action 61). Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Fred and Claire switch partners. Finally, Dave and Bob switch partners. At the end of the dance, Alice is dancing with\nOptions:\n(A) Rodrigo\n(B) Jamie\n(C) Patrick\n(D) Lola\n(E) Izzi\n(F) Melissa\n(G) Karl", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:002", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a black ball, Bob has a brown ball, Claire has a yellow ball, Dave has a purple ball, Eve has a blue ball, Fred has a orange ball, and Gertrude has a pink ball.\nAs the game progresses, pairs of players trade balls. First, Bob and Claire swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Eve and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Fred and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Claire swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Fred and Gertrude swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Eve and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Eve swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Alice swap balls. Then, Bob and Fred swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Eve and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Gertrude and Eve swap balls. Then, Claire and Eve swap balls. Finally, Claire and Alice swap balls. At the end of the game, Eve has the\nOptions:\n(A) black ball\n(B) brown ball\n(C) yellow ball\n(D) purple ball\n(E) blue ball\n(F) orange ball\n(G) pink ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:004", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a purple ball, Bob has a pink ball, Claire has a brown ball, Dave has a black ball, Eve has a yellow ball, Fred has a orange ball, and Gertrude has a red ball.\nAs the game progresses, pairs of players trade balls. First, Gertrude and Bob swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Alice and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Alice swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Eve and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Dave and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Dave swap balls. Then, Claire and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Claire swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Bob and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Bob swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Fred swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Alice swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Bob and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Fred and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Fred swap balls. Then, Dave and Fred swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Eve and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Claire swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Fred swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Eve and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Eve swap balls. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Fred and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Bob and Claire swap balls. Finally, Eve and Alice swap balls. At the end of the game, Eve has the\nOptions:\n(A) purple ball\n(B) pink ball\n(C) brown ball\n(D) black ball\n(E) yellow ball\n(F) orange ball\n(G) red ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:005", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Great Gatsby, Bob gets The Fellowship of the Ring, Claire gets Ulysses, Dave gets The Odyssey, Eve gets Frankenstein, Fred gets Hound of the Baskervilles, and Gertrude gets Moby Dick.\nAs the semester proceeds, they start trading around the new books. First, Claire and Eve swap books. Then, nothing happens for a while (let's call it Action 1). Then, nothing happens for a while. Then, Fred and Bob swap books (let's call it Action 2). Then, Bob and Fred swap books (let's call it Action 3). Then, Action 3 repeats. Then, Fred and Eve swap books (let's call it Action 4). Then, Eve and Fred swap books (let's call it Action 5). Then, Fred and Bob swap books. Then, nothing happens for a while. Then, Alice and Eve swap books (let's call it Action 6). Then, Eve and Gertrude swap books (let's call it Action 7). Then, Gertrude and Eve swap books (let's call it Action 8). Then, Eve and Alice swap books (let's call it Action 9). Then, Action 1 repeats. Then, Gertrude and Dave swap books (let's call it Action 10). Then, Dave and Claire swap books (let's call it Action 11). Then, Claire and Dave swap books (let's call it Action 12). Then, Dave and Gertrude swap books (let's call it Action 13). Then, Claire and Fred swap books (let's call it Action 14). Then, Fred and Claire swap books (let's call it Action 15). Then, Alice and Dave swap books (let's call it Action 16). Then, Alice and Dave discuss something (let's call it Action 17). Then, Alice and Dave swap books. Then, nothing happens for a while. Then, Claire and Alice swap books (let's call it Action 18). Then, Alice and Claire swap books (let's call it Action 19). Then, Alice and Claire swap books. Then, Alice and Claire discuss something (let's call it Action 20). Then, Alice and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something (let's call it Action 21). Then, Eve and Gertrude swap books. Then, Alice and Bob swap books (let's call it Action 22). Then, Alice and Bob discuss something (let's call it Action 23). Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Eve and Bob swap books (let's call it Action 24). Then, Bob and Fred swap books. Then, Action 2 repeats. Then, Bob and Eve swap books (let's call it Action 25). Then, Action 15 repeats. Then, Fred and Claire discuss something (let's call it Action 26). Then, Action 15 repeats. Then, Dave and Fred swap books (let's call it Action 27). Then, Dave and Fred discuss something (let's call it Action 28). Then, Dave and Fred swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Eve swap books (let's call it Action 29). Then, Dave and Eve discuss something (let's call it Action 30). Then, Action 29 repeats. Then, Bob and Dave swap books (let's call it Action 31). Then, Bob and Dave discuss something (let's call it Action 32). Then, Bob and Dave swap books. Then, Action 1 repeats. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Bob and Dave swap books. Then, Action 32 repeats. Then, Bob and Dave swap books. Then, Bob and Gertrude swap books (let's call it Action 33). Then, Bob and Gertrude discuss something (let's call it Action 34). Then, Bob and Gertrude swap books. Then, Action 1 repeats. Then, Action 31 repeats. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Gertrude and Alice swap books (let's call it Action 35). Then, Gertrude and Alice discuss something (let's call it Action 36). Then, Gertrude and Alice swap books. Then, Action 8 repeats. Then, Eve and Claire swap books (let's call it Action 37). Then, Claire and Eve swap books (let's call it Action 38). Then, Eve and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Gertrude swap books (let's call it Action 39). Then, Alice and Fred swap books (let's call it Action 40). Then, Fred and Alice swap books (let's call it Action 41). Then, Action 10 repeats. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books (let's call it Action 42). Then, Bob and Claire swap books (let's call it Action 43). Then, Claire and Bob swap books (let's call it Action 44). Then, Bob and Gertrude swap books. Then, Action 13 repeats. Then, Dave and Gertrude discuss something (let's call it Action 45). Then, Dave and Gertrude swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books (let's call it Action 46). Then, Bob and Fred swap books. Then, Bob and Fred discuss something (let's call it Action 47). Then, Bob and Fred swap books. Then, Dave and Fred swap books. Then, Eve and Dave swap books (let's call it Action 48). Then, Dave and Fred swap books. Then, Fred and Dave swap books (let's call it Action 49). Then, Dave and Eve swap books. Then, Action 1 repeats. Then, Bob and Gertrude swap books. Then, Action 42 repeats. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Action 42 repeats. Then, Action 33 repeats. Then, Gertrude and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 5 repeats. Then, Fred and Claire swap books. Then, Action 14 repeats. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books. Then, Bob and Fred swap books. Then, Action 2 repeats. Then, Bob and Gertrude swap books. Then, Fred and Eve swap books. Then, Eve and Bob swap books. Then, Action 25 repeats. Then, Eve and Fred swap books. Then, Claire and Alice swap books. Then, Alice and Eve swap books. Then, Action 9 repeats. Then, Alice and Claire swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Dave and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 1 repeats. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Alice and Dave swap books. Then, Action 17 repeats. Then, Alice and Dave swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Dave and Fred swap books. Then, Action 49 repeats. Then, Gertrude and Claire swap books (let's call it Action 50). Then, Gertrude and Claire discuss something (let's call it Action 51). Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Dave and Alice swap books (let's call it Action 52). Then, Alice and Dave swap books. Then, Action 13 repeats. Then, nothing happens for a while. Then, Dave and Bob swap books (let's call it Action 53). Then, Bob and Dave swap books. Then, Action 18 repeats. Then, Claire and Alice discuss something (let's call it Action 54). Then, Claire and Alice swap books. Then, Action 31 repeats. Then, Action 32 repeats. Then, Action 31 repeats. Then, Bob and Gertrude swap books. Then, Action 34 repeats. Then, Action 33 repeats. Then, nothing happens for a while. Then, Action 35 repeats. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, Action 14 repeats. Then, Fred and Bob swap books. Then, Action 3 repeats. Then, Action 15 repeats. Then, Bob and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Bob swap books. Then, Gertrude and Dave swap books. Then, Action 13 repeats. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Action 25 repeats. Then, Action 1 repeats. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Action 7 repeats. Then, Action 13 repeats. Then, Gertrude and Alice swap books. Then, Action 39 repeats. Then, Gertrude and Dave swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something (let's call it Action 55). Then, Gertrude and Dave swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something (let's call it Action 56). Then, Gertrude and Eve swap books. Then, Alice and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Bob and Eve discuss something (let's call it Action 57). Then, Bob and Eve swap books. Then, Claire and Fred swap books. Then, Action 15 repeats. Then, Action 43 repeats. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Bob swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Bob and Claire swap books. Then, Action 38 repeats. Then, Action 37 repeats. Then, Claire and Bob swap books. Then, Dave and Alice swap books. Then, Action 39 repeats. Then, Gertrude and Alice swap books. Then, Alice and Dave swap books. Then, Gertrude and Claire swap books. Then, Action 38 repeats. Then, Eve and Claire swap books. Then, Claire and Gertrude swap books (let's call it Action 58). Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Action 33 repeats. Then, Gertrude and Dave swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Action 29 repeats. Then, Eve and Dave swap books. Then, Action 11 repeats. Then, Alice and Fred swap books. Then, Alice and Fred discuss something (let's call it Action 59). Then, Alice and Fred swap books. Then, Action 24 repeats. Then, Action 25 repeats. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Claire and Bob discuss something (let's call it Action 60). Then, Claire and Bob swap books. Then, Fred and Bob swap books. Then, Action 33 repeats. Then, Gertrude and Bob swap books. Then, Bob and Fred swap books. Then, Action 44 repeats. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Claire swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Dave and Claire swap books. Then, Action 12 repeats. Then, nothing happens for a while. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Action 39 repeats. Then, Gertrude and Fred swap books (let's call it Action 61). Then, Fred and Gertrude swap books (let's call it Action 62). Then, Gertrude and Alice swap books. Then, Claire and Dave swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Action 52 repeats. Then, Alice and Dave swap books. Then, Alice and Fred swap books. Then, Fred and Claire swap books. Then, Action 14 repeats. Then, Fred and Alice swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books. Then, Action 42 repeats. Then, Gertrude and Bob discuss something (let's call it Action 63). Then, Gertrude and Bob swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Action 40 repeats. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something (let's call it Action 64). Then, Fred and Dave swap books. Then, Action 1 repeats. Then, Action 16 repeats. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Alice swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something (let's call it Action 65). Then, Action 62 repeats. Then, Action 44 repeats. Then, Bob and Claire swap books. Then, Action 3 repeats. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Bob swap books. Then, Action 50 repeats. Then, Action 58 repeats. Then, Bob and Eve swap books. Then, Eve and Gertrude swap books. Then, Action 8 repeats. Then, Eve and Bob swap books. Then, Action 15 repeats. Then, Claire and Gertrude swap books. Finally, Fred and Bob swap books. At the end of the semester, Alice has\nOptions:\n(A) The Great Gatsby\n(B) The Fellowship of the Ring\n(C) Ulysses\n(D) The Odyssey\n(E) Frankenstein\n(F) Hound of the Baskervilles\n(G) Moby Dick", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:010", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Ulysses, Bob gets The Great Gatsby, Claire gets The Fellowship of the Ring, Dave gets The Pearl, Eve gets Hound of the Baskervilles, Fred gets Lolita, and Gertrude gets Catch-22.\nAs the semester proceeds, they start trading around the new books. First, Bob and Claire swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Bob and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Gertrude swap books. Then, Claire and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Claire and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Claire swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, nothing happens for a while. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, Dave and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Gertrude swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, Gertrude and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Gertrude swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Claire and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Claire swap books. Then, Eve and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Dave swap books. Then, Bob and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Bob swap books. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Gertrude swap books. Then, Dave and Bob swap books. Then, Dave and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Dave swap books. Then, Fred and Bob swap books. Then, Fred and Bob discuss something. Then, Fred and Bob swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Fred and Eve swap books. Then, Fred and Eve discuss something. Then, Fred and Eve swap books. Then, Bob and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Bob swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Bob and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Bob swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Dave and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Dave swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, Eve and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, Fred and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Fred swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Alice and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Eve swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Alice swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Fred and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Fred swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Dave and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Alice swap books. Then, Gertrude and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Gertrude swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Dave and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Eve and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Eve swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Eve and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Eve swap books. Then, Claire and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Eve and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Eve swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Bob and Claire swap books. Then, Bob and Claire discuss something. Then, Bob and Claire swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Alice and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Alice swap books. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Alice and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Gertrude swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Alice and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Eve and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Alice and Dave swap books. Finally, Fred and Gertrude swap books. At the end of the semester, Gertrude has\nOptions:\n(A) Ulysses\n(B) The Great Gatsby\n(C) The Fellowship of the Ring\n(D) The Pearl\n(E) Hound of the Baskervilles\n(F) Lolita\n(G) Catch-22", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:013", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left winger, Bob is playing goalkeeper, Claire is playing center midfielder, Dave is playing right midfielder, Eve is playing fullback, Fred is playing left midfielder, and Gertrude is playing cheerleader.\nAs the game progresses, pairs of players occasionally swap positions. First, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Fred and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Fred trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Eve and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Fred and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Dave trade positions. Finally, Fred and Bob trade positions. At the end of the match, Fred is playing\nOptions:\n(A) left winger\n(B) goalkeeper\n(C) center midfielder\n(D) right midfielder\n(E) fullback\n(F) left midfielder\n(G) cheerleader", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:015", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Lola, Bob is dancing with Melissa, Claire is dancing with Helga, Dave is dancing with Karl, Eve is dancing with Sam, Fred is dancing with Izzi, and Gertrude is dancing with Patrick.\nThroughout the song, the dancers often trade partners. First, Alice and Eve switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Fred switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Fred switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Claire and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Dave switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Claire switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Dave switch partners. Then, Eve and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Eve switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Eve and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Alice switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Fred switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Bob and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude switch partners. Then, Dave and Bob switch partners. Then, Alice and Claire switch partners. Finally, Eve and Gertrude switch partners. At the end of the dance, Bob is dancing with\nOptions:\n(A) Lola\n(B) Melissa\n(C) Helga\n(D) Karl\n(E) Sam\n(F) Izzi\n(G) Patrick", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:018", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing benchwarmer, Bob is playing striker, Claire is playing right winger, Dave is playing center midfielder, Eve is playing cheerleader, Fred is playing left winger, and Gertrude is playing goalkeeper.\nAs the game progresses, pairs of players occasionally swap positions. First, Eve and Alice trade positions. Then, Bob and Alice trade positions (let's call it Action 1). Then, Alice and Bob trade positions (let's call it Action 2). Then, Fred and Bob trade positions (let's call it Action 3). Then, Bob and Dave trade positions (let's call it Action 4). Then, Dave and Bob trade positions (let's call it Action 5). Then, Bob and Fred trade positions (let's call it Action 6). Then, Fred and Bob trade positions. Then, Action 6 repeats. Then, Eve and Dave trade positions (let's call it Action 7). Then, Eve and Dave discuss something (let's call it Action 8). Then, Eve and Dave trade positions. Then, Alice and Claire trade positions (let's call it Action 9). Then, Claire and Alice trade positions (let's call it Action 10). Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Alice and Fred trade positions (let's call it Action 11). Then, Alice and Fred discuss something (let's call it Action 12). Then, Action 11 repeats. Then, Eve and Alice trade positions (let's call it Action 13). Then, Alice and Eve trade positions (let's call it Action 14). Then, Bob and Dave trade positions. Then, Bob and Dave discuss something (let's call it Action 15). Then, Bob and Dave trade positions. Then, Eve and Gertrude trade positions (let's call it Action 16). Then, Gertrude and Eve trade positions (let's call it Action 17). Then, Fred and Alice trade positions (let's call it Action 18). Then, Action 11 repeats. Then, nothing happens for a while (let's call it Action 19). Then, Eve and Bob trade positions (let's call it Action 20). Then, Bob and Gertrude trade positions (let's call it Action 21). Then, Gertrude and Bob trade positions (let's call it Action 22). Then, Bob and Eve trade positions (let's call it Action 23). Then, Action 14 repeats. Then, Eve and Alice trade positions. Then, Dave and Gertrude trade positions (let's call it Action 24). Then, Dave and Gertrude discuss something (let's call it Action 25). Then, Dave and Gertrude trade positions. Then, Action 19 repeats. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions (let's call it Action 26). Then, Fred and Dave trade positions (let's call it Action 27). Then, Action 19 repeats. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions (let's call it Action 28). Then, Claire and Dave trade positions (let's call it Action 29). Then, Dave and Bob trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Claire and Eve trade positions (let's call it Action 30). Then, Claire and Eve discuss something (let's call it Action 31). Then, Claire and Eve trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something (let's call it Action 32). Then, Fred and Bob trade positions. Then, Gertrude and Alice trade positions (let's call it Action 33). Then, Alice and Gertrude trade positions (let's call it Action 34). Then, Action 27 repeats. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions (let's call it Action 35). Then, Fred and Eve trade positions (let's call it Action 36). Then, Eve and Alice trade positions. Then, Action 18 repeats. Then, Fred and Alice discuss something (let's call it Action 37). Then, Action 18 repeats. Then, nothing happens for a while. Then, Action 19 repeats. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something (let's call it Action 38). Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Bob trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something (let's call it Action 39). Then, Action 2 repeats. Then, Claire and Bob trade positions (let's call it Action 40). Then, Claire and Bob discuss something (let's call it Action 41). Then, Action 40 repeats. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Fred trade positions (let's call it Action 42). Then, Fred and Gertrude trade positions (let's call it Action 43). Then, Action 7 repeats. Then, Dave and Eve trade positions (let's call it Action 44). Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Eve and Gertrude trade positions. Then, Action 17 repeats. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions (let's call it Action 45). Then, Dave and Bob trade positions. Then, Action 34 repeats. Then, Dave and Alice trade positions (let's call it Action 46). Then, Action 14 repeats. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions (let's call it Action 47). Then, Action 19 repeats. Then, Fred and Bob trade positions. Then, Action 6 repeats. Then, Gertrude and Bob trade positions. Then, Action 21 repeats. Then, nothing happens for a while. Then, Claire and Gertrude trade positions (let's call it Action 48). Then, Gertrude and Claire trade positions (let's call it Action 49). Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something (let's call it Action 50). Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Action 43 repeats. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Action 42 repeats. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions (let's call it Action 51). Then, Claire and Fred trade positions (let's call it Action 52). Then, Fred and Claire trade positions (let's call it Action 53). Then, Claire and Bob trade positions. Then, Action 30 repeats. Then, Eve and Claire trade positions (let's call it Action 54). Then, Bob and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Action 48 repeats. Then, Gertrude and Bob trade positions. Then, Action 44 repeats. Then, Eve and Dave trade positions. Then, Action 33 repeats. Then, Alice and Fred trade positions. Then, Action 18 repeats. Then, Alice and Gertrude trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something (let's call it Action 55). Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something (let's call it Action 56). Then, Action 35 repeats. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something (let's call it Action 57). Then, Bob and Claire trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Action 35 repeats. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 49 repeats. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Action 8 repeats. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 4 repeats. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Action 44 repeats. Then, Dave and Eve discuss something (let's call it Action 58). Then, Dave and Eve trade positions. Then, Action 19 repeats. Then, Bob and Dave trade positions. Then, Dave and Alice trade positions. Then, Action 47 repeats. Then, Dave and Bob trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Fred and Claire trade positions. Then, Claire and Dave trade positions. Then, Action 28 repeats. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Action 47 repeats. Then, Dave and Alice trade positions. Then, Action 2 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Action 19 repeats. Then, Action 19 repeats. Then, Action 19 repeats. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something (let's call it Action 59). Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something (let's call it Action 60). Then, Action 6 repeats. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Action 21 repeats. Then, Action 22 repeats. Then, Action 21 repeats. Then, nothing happens for a while. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Fred and Gertrude trade positions. Then, Action 49 repeats. Then, Action 48 repeats. Then, Gertrude and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Action 34 repeats. Then, Alice and Eve trade positions. Then, Action 16 repeats. Then, Action 17 repeats. Then, Eve and Alice trade positions. Then, Action 19 repeats. Then, Action 48 repeats. Then, Action 17 repeats. Then, Eve and Gertrude trade positions. Then, Action 49 repeats. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Action 19 repeats. Then, Alice and Bob trade positions. Then, Eve and Claire trade positions. Finally, Alice and Dave trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) benchwarmer\n(B) striker\n(C) right winger\n(D) center midfielder\n(E) cheerleader\n(F) left winger\n(G) goalkeeper", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:022", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Helga, Bob is dancing with Izzi, Claire is dancing with Ophelia, Dave is dancing with Melissa, Eve is dancing with Patrick, Fred is dancing with Rodrigo, and Gertrude is dancing with Sam.\nThroughout the song, the dancers often trade partners. First, Alice and Bob switch partners. Then, nothing happens for a while (let's call it Action 1). Then, Bob and Claire switch partners (let's call it Action 2). Then, Claire and Bob switch partners (let's call it Action 3). Then, Gertrude and Eve switch partners (let's call it Action 4). Then, Gertrude and Eve discuss something (let's call it Action 5). Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners (let's call it Action 6). Then, Eve and Gertrude discuss something (let's call it Action 7). Then, Eve and Gertrude switch partners. Then, Alice and Fred switch partners (let's call it Action 8). Then, Alice and Fred discuss something (let's call it Action 9). Then, Action 8 repeats. Then, Fred and Eve switch partners (let's call it Action 10). Then, Fred and Eve discuss something (let's call it Action 11). Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners (let's call it Action 12). Then, Fred and Dave switch partners (let's call it Action 13). Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred switch partners (let's call it Action 14). Then, Fred and Gertrude switch partners (let's call it Action 15). Then, Gertrude and Fred switch partners (let's call it Action 16). Then, Fred and Claire switch partners (let's call it Action 17). Then, Fred and Dave switch partners. Then, Action 12 repeats. Then, Action 1 repeats. Then, Alice and Gertrude switch partners (let's call it Action 18). Then, Gertrude and Alice switch partners (let's call it Action 19). Then, Claire and Alice switch partners (let's call it Action 20). Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners (let's call it Action 21). Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Alice and Bob switch partners (let's call it Action 22). Then, Bob and Alice switch partners (let's call it Action 23). Then, Fred and Bob switch partners (let's call it Action 24). Then, Bob and Fred switch partners (let's call it Action 25). Then, Dave and Alice switch partners (let's call it Action 26). Then, Alice and Bob switch partners. Then, Action 23 repeats. Then, Alice and Dave switch partners (let's call it Action 27). Then, nothing happens for a while. Then, Eve and Fred switch partners (let's call it Action 28). Then, Fred and Claire switch partners. Then, Action 14 repeats. Then, Fred and Eve switch partners. Then, Claire and Gertrude switch partners (let's call it Action 29). Then, Action 19 repeats. Then, Alice and Gertrude switch partners. Then, Gertrude and Claire switch partners (let's call it Action 30). Then, nothing happens for a while. Then, Action 4 repeats. Then, Action 28 repeats. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something (let's call it Action 31). Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Bob and Eve switch partners (let's call it Action 32). Then, Eve and Bob switch partners (let's call it Action 33). Then, Action 1 repeats. Then, Eve and Alice switch partners (let's call it Action 34). Then, Eve and Alice discuss something (let's call it Action 35). Then, Eve and Alice switch partners. Then, Eve and Claire switch partners (let's call it Action 36). Then, Action 3 repeats. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners (let's call it Action 37). Then, Action 1 repeats. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Action 3 repeats. Then, Dave and Gertrude switch partners (let's call it Action 38). Then, Gertrude and Dave switch partners (let's call it Action 39). Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners (let's call it Action 40). Then, Dave and Claire switch partners (let's call it Action 41). Then, Action 14 repeats. Then, Action 33 repeats. Then, Eve and Bob discuss something (let's call it Action 42). Then, Eve and Bob switch partners. Then, Action 1 repeats. Then, Eve and Alice switch partners. Then, Action 18 repeats. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners (let's call it Action 43). Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners (let's call it Action 44). Then, Eve and Dave switch partners (let's call it Action 45). Then, Dave and Claire switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something (let's call it Action 46). Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Action 33 repeats. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something (let's call it Action 47). Then, Claire and Gertrude switch partners. Then, Action 33 repeats. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something (let's call it Action 48). Then, Alice and Gertrude switch partners. Then, Claire and Bob switch partners. Then, Action 2 repeats. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners (let's call it Action 49). Then, Alice and Fred switch partners. Then, Action 24 repeats. Then, Fred and Bob switch partners. Then, Bob and Eve switch partners. Then, Action 33 repeats. Then, Bob and Fred switch partners. Then, Gertrude and Bob switch partners (let's call it Action 50). Then, Bob and Gertrude switch partners (let's call it Action 51). Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something (let's call it Action 52). Then, Dave and Claire switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Action 17 repeats. Then, Fred and Claire discuss something (let's call it Action 53). Then, Action 17 repeats. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Action 6 repeats. Then, Claire and Bob switch partners. Then, Action 2 repeats. Then, Action 28 repeats. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Action 37 repeats. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something (let's call it Action 54). Then, Action 25 repeats. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Action 1 repeats. Then, nothing happens for a while. Then, Action 15 repeats. Then, Gertrude and Fred switch partners. Then, Eve and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Action 37 repeats. Then, Action 37 repeats. Then, Eve and Gertrude switch partners. Then, Action 4 repeats. Then, Eve and Claire switch partners. Then, Bob and Alice switch partners. Then, Action 22 repeats. Then, Action 41 repeats. Then, Claire and Dave switch partners. Then, Bob and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners. Then, Action 43 repeats. Then, Eve and Alice switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something (let's call it Action 55). Then, Dave and Alice switch partners. Then, Eve and Dave switch partners. Then, Action 1 repeats. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Action 20 repeats. Then, Alice and Dave switch partners. Then, Fred and Bob switch partners. Then, Action 2 repeats. Then, Action 3 repeats. Then, Bob and Fred switch partners. Then, Action 43 repeats. Then, Alice and Eve discuss something (let's call it Action 56). Then, Action 43 repeats. Then, Claire and Alice switch partners. Then, Action 21 repeats. Then, Action 44 repeats. Then, Eve and Dave switch partners. Then, Action 18 repeats. Then, Gertrude and Bob switch partners. Then, Action 51 repeats. Then, Gertrude and Alice switch partners. Then, Action 1 repeats. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something (let's call it Action 57). Then, Action 49 repeats. Then, Action 32 repeats. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something (let's call it Action 58). Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Action 29 repeats. Then, Dave and Bob switch partners (let's call it Action 59). Then, Action 51 repeats. Then, Gertrude and Bob switch partners. Then, Bob and Dave switch partners (let's call it Action 60). Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Action 37 repeats. Then, Action 36 repeats. Then, Action 40 repeats. Then, Alice and Fred switch partners. Then, Action 9 repeats. Then, Alice and Fred switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Action 60 repeats. Then, Bob and Dave discuss something (let's call it Action 61). Then, Bob and Dave switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Action 22 repeats. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Action 20 repeats. Then, Action 1 repeats. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something (let's call it Action 62). Then, Eve and Dave switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something (let's call it Action 63). Then, Action 37 repeats. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Action 6 repeats. Then, Action 7 repeats. Then, Action 6 repeats. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, Action 43 repeats. Then, Eve and Fred switch partners. Then, Action 43 repeats. Then, Eve and Alice switch partners. Then, Action 30 repeats. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Bob and Alice switch partners. Then, Bob and Fred switch partners. Finally, Bob and Eve switch partners. At the end of the dance, Fred is dancing with\nOptions:\n(A) Helga\n(B) Izzi\n(C) Ophelia\n(D) Melissa\n(E) Patrick\n(F) Rodrigo\n(G) Sam", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:024", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Pearl, Bob gets The Fellowship of the Ring, Claire gets Catch-22, Dave gets The Great Gatsby, Eve gets Frankenstein, Fred gets Ulysses, and Gertrude gets The Odyssey.\nAs the semester proceeds, they start trading around the new books. First, Gertrude and Bob swap books. Then, nothing happens for a while (let's call it Action 1). Then, Claire and Fred swap books (let's call it Action 2). Then, Fred and Bob swap books (let's call it Action 3). Then, Bob and Fred swap books (let's call it Action 4). Then, Fred and Claire swap books (let's call it Action 5). Then, Claire and Alice swap books (let's call it Action 6). Then, Alice and Gertrude swap books (let's call it Action 7). Then, Gertrude and Alice swap books (let's call it Action 8). Then, Alice and Claire swap books (let's call it Action 9). Then, Alice and Eve swap books (let's call it Action 10). Then, Eve and Alice swap books (let's call it Action 11). Then, Gertrude and Eve swap books (let's call it Action 12). Then, Gertrude and Eve discuss something (let's call it Action 13). Then, Gertrude and Eve swap books. Then, Bob and Alice swap books (let's call it Action 14). Then, Alice and Bob swap books (let's call it Action 15). Then, Claire and Fred swap books. Then, Claire and Fred discuss something (let's call it Action 16). Then, Claire and Fred swap books. Then, Bob and Alice swap books. Then, Bob and Alice discuss something (let's call it Action 17). Then, Bob and Alice swap books. Then, nothing happens for a while. Then, Action 1 repeats. Then, Fred and Dave swap books (let's call it Action 18). Then, Dave and Eve swap books (let's call it Action 19). Then, Eve and Dave swap books (let's call it Action 20). Then, Dave and Fred swap books (let's call it Action 21). Then, Fred and Eve swap books (let's call it Action 22). Then, Eve and Fred swap books (let's call it Action 23). Then, nothing happens for a while. Then, Dave and Gertrude swap books (let's call it Action 24). Then, Gertrude and Claire swap books (let's call it Action 25). Then, Claire and Gertrude swap books (let's call it Action 26). Then, Gertrude and Dave swap books (let's call it Action 27). Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Alice and Fred swap books (let's call it Action 28). Then, Fred and Alice swap books (let's call it Action 29). Then, Action 10 repeats. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Action 28 repeats. Then, nothing happens for a while. Then, Claire and Eve swap books (let's call it Action 30). Then, Eve and Claire swap books (let's call it Action 31). Then, Action 10 repeats. Then, Eve and Bob swap books (let's call it Action 32). Then, Bob and Eve swap books (let's call it Action 33). Then, Eve and Alice swap books. Then, Action 1 repeats. Then, Bob and Claire swap books (let's call it Action 34). Then, Bob and Claire discuss something (let's call it Action 35). Then, Bob and Claire swap books. Then, Action 30 repeats. Then, Eve and Claire swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Action 30 repeats. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Eve and Fred swap books. Then, Action 5 repeats. Then, Claire and Fred swap books. Then, Action 22 repeats. Then, Bob and Gertrude swap books (let's call it Action 36). Then, Bob and Gertrude discuss something (let's call it Action 37). Then, Action 36 repeats. Then, Dave and Claire swap books (let's call it Action 38). Then, Dave and Claire discuss something (let's call it Action 39). Then, Dave and Claire swap books. Then, Dave and Bob swap books (let's call it Action 40). Then, Dave and Bob discuss something (let's call it Action 41). Then, Action 40 repeats. Then, Action 34 repeats. Then, Claire and Alice swap books. Then, Action 9 repeats. Then, Claire and Bob swap books (let's call it Action 42). Then, Alice and Bob swap books. Then, Alice and Bob discuss something (let's call it Action 43). Then, Alice and Bob swap books. Then, Fred and Alice swap books. Then, Fred and Alice discuss something (let's call it Action 44). Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Action 12 repeats. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, Claire and Dave swap books (let's call it Action 45). Then, Claire and Dave discuss something (let's call it Action 46). Then, Claire and Dave swap books. Then, Alice and Fred swap books. Then, Action 34 repeats. Then, Action 30 repeats. Then, Eve and Claire swap books. Then, Claire and Bob swap books. Then, Action 1 repeats. Then, nothing happens for a while. Then, Action 15 repeats. Then, Bob and Alice swap books. Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Alice swap books (let's call it Action 47). Then, Dave and Alice discuss something (let's call it Action 48). Then, Action 47 repeats. Then, Alice and Dave swap books (let's call it Action 49). Then, Alice and Dave discuss something (let's call it Action 50). Then, Alice and Dave swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something (let's call it Action 51). Then, Claire and Gertrude swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something (let's call it Action 52). Then, Alice and Gertrude swap books. Then, Alice and Fred swap books. Then, Action 29 repeats. Then, Fred and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Fred swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Action 27 repeats. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Fred and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books (let's call it Action 53). Then, Dave and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Bob and Eve swap books. Then, Bob and Eve discuss something (let's call it Action 54). Then, Bob and Eve swap books. Then, Bob and Claire swap books. Then, Action 45 repeats. Then, Action 38 repeats. Then, Claire and Bob swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something (let's call it Action 55). Then, Eve and Fred swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Action 49 repeats. Then, Gertrude and Claire swap books. Then, Fred and Bob swap books. Then, Action 4 repeats. Then, Eve and Gertrude swap books (let's call it Action 56). Then, Eve and Gertrude discuss something (let's call it Action 57). Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Action 53 repeats. Then, Fred and Bob swap books. Then, Fred and Bob discuss something (let's call it Action 58). Then, Action 3 repeats. Then, Claire and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Claire swap books. Then, Fred and Bob swap books. Then, Action 58 repeats. Then, Fred and Bob swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Action 24 repeats. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books (let's call it Action 59). Then, Action 36 repeats. Then, Gertrude and Dave swap books. Then, Action 1 repeats. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something (let's call it Action 60). Then, Action 59 repeats. Then, Alice and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Alice swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Eve swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Action 40 repeats. Then, Bob and Dave swap books. Then, Action 6 repeats. Then, Alice and Claire swap books. Then, Gertrude and Fred swap books (let's call it Action 61). Then, Fred and Claire swap books. Then, Action 2 repeats. Then, Fred and Gertrude swap books (let's call it Action 62). Then, Fred and Bob swap books. Then, Action 4 repeats. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Alice swap books. Then, Fred and Eve swap books. Then, Action 1 repeats. Then, Bob and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Bob swap books. Then, Action 1 repeats. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Claire and Eve swap books. Then, Action 31 repeats. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Action 2 repeats. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Action 42 repeats. Then, Bob and Claire swap books. Then, Action 32 repeats. Then, Action 33 repeats. Then, Claire and Bob swap books. Then, Claire and Bob discuss something (let's call it Action 63). Then, Claire and Bob swap books. Then, Eve and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Action 10 repeats. Then, Action 4 repeats. Then, Fred and Claire swap books. Then, Action 2 repeats. Then, Fred and Bob swap books. Then, Gertrude and Eve swap books. Then, Eve and Claire swap books. Then, Action 30 repeats. Then, Eve and Gertrude swap books. Then, Action 23 repeats. Then, Eve and Fred discuss something. Then, Action 23 repeats. Then, Gertrude and Dave swap books. Then, Action 40 repeats. Then, Bob and Dave swap books. Then, Action 24 repeats. Then, Alice and Claire swap books. Then, Alice and Claire discuss something (let's call it Action 64). Then, Alice and Claire swap books. Then, Action 20 repeats. Then, Eve and Dave discuss something (let's call it Action 65). Then, Action 20 repeats. Then, Action 22 repeats. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, Action 34 repeats. Then, Bob and Claire discuss something. Then, Bob and Claire swap books. Then, Action 1 repeats. Then, Fred and Eve swap books. Then, Fred and Eve discuss something (let's call it Action 66). Then, Fred and Eve swap books. Then, Action 1 repeats. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Fred swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Action 28 repeats. Then, Alice and Fred discuss something (let's call it Action 67). Then, Alice and Fred swap books. Then, Bob and Alice swap books. Then, Alice and Gertrude swap books. Then, Action 8 repeats. Then, Alice and Bob swap books. Then, Claire and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Action 9 repeats. Then, Action 1 repeats. Then, Action 1 repeats. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Action 45 repeats. Then, Eve and Bob swap books. Finally, Fred and Gertrude swap books. At the end of the semester, Fred has\nOptions:\n(A) The Pearl\n(B) The Fellowship of the Ring\n(C) Catch-22\n(D) The Great Gatsby\n(E) Frankenstein\n(F) Ulysses\n(G) The Odyssey", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:025", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing fullback, Bob is playing benchwarmer, Claire is playing right midfielder, Dave is playing striker, Eve is playing left winger, Fred is playing goalkeeper, and Gertrude is playing cheerleader.\nAs the game progresses, pairs of players occasionally swap positions. First, Eve and Bob trade positions. Then, Claire and Gertrude trade positions (let's call it Action 1). Then, Gertrude and Claire trade positions (let's call it Action 2). Then, Claire and Bob trade positions (let's call it Action 3). Then, Claire and Bob discuss something (let's call it Action 4). Then, Action 3 repeats. Then, nothing happens for a while (let's call it Action 5). Then, Action 2 repeats. Then, Gertrude and Claire discuss something (let's call it Action 6). Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions (let's call it Action 7). Then, Fred and Bob trade positions (let's call it Action 8). Then, Bob and Claire trade positions (let's call it Action 9). Then, Action 5 repeats. Then, nothing happens for a while. Then, Action 5 repeats. Then, nothing happens for a while. Then, Claire and Fred trade positions (let's call it Action 10). Then, Claire and Fred discuss something (let's call it Action 11). Then, Claire and Fred trade positions. Then, Claire and Eve trade positions (let's call it Action 12). Then, Claire and Eve discuss something (let's call it Action 13). Then, Claire and Eve trade positions. Then, Eve and Bob trade positions (let's call it Action 14). Then, Eve and Bob discuss something (let's call it Action 15). Then, Eve and Bob trade positions. Then, Gertrude and Fred trade positions (let's call it Action 16). Then, Fred and Claire trade positions (let's call it Action 17). Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions (let's call it Action 18). Then, Fred and Dave trade positions (let's call it Action 19). Then, Dave and Eve trade positions (let's call it Action 20). Then, Eve and Dave trade positions (let's call it Action 21). Then, Dave and Fred trade positions (let's call it Action 22). Then, Dave and Alice trade positions (let's call it Action 23). Then, Alice and Dave trade positions (let's call it Action 24). Then, Bob and Eve trade positions (let's call it Action 25). Then, Eve and Claire trade positions (let's call it Action 26). Then, Claire and Eve trade positions. Then, Action 14 repeats. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 27). Then, Eve and Dave trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Claire and Alice trade positions (let's call it Action 28). Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions (let's call it Action 29). Then, Action 17 repeats. Then, Fred and Claire trade positions. Then, Claire and Bob trade positions. Then, Action 9 repeats. Then, Action 10 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob trade positions (let's call it Action 30). Then, Dave and Bob discuss something (let's call it Action 31). Then, Action 30 repeats. Then, Dave and Gertrude trade positions (let's call it Action 32). Then, Dave and Gertrude discuss something (let's call it Action 33). Then, Dave and Gertrude trade positions. Then, Eve and Gertrude trade positions (let's call it Action 34). Then, Gertrude and Bob trade positions (let's call it Action 35). Then, Bob and Gertrude trade positions (let's call it Action 36). Then, Gertrude and Eve trade positions (let's call it Action 37). Then, Fred and Alice trade positions (let's call it Action 38). Then, Alice and Bob trade positions (let's call it Action 39). Then, Bob and Alice trade positions (let's call it Action 40). Then, Alice and Fred trade positions (let's call it Action 41). Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions (let's call it Action 42). Then, Eve and Fred trade positions (let's call it Action 43). Then, Fred and Gertrude trade positions. Then, Action 5 repeats. Then, nothing happens for a while. Then, Action 32 repeats. Then, Action 33 repeats. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Action 5 repeats. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Claire and Eve trade positions. Then, Action 26 repeats. Then, Action 41 repeats. Then, Alice and Fred discuss something (let's call it Action 44). Then, Alice and Fred trade positions. Then, Claire and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Action 35 repeats. Then, Bob and Claire trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Claire and Dave trade positions (let's call it Action 45). Then, Claire and Dave discuss something (let's call it Action 46). Then, Claire and Dave trade positions. Then, Dave and Claire trade positions (let's call it Action 47). Then, Dave and Claire discuss something (let's call it Action 48). Then, Action 47 repeats. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Action 28 repeats. Then, Claire and Alice discuss something (let's call it Action 49). Then, Action 28 repeats. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something (let's call it Action 50). Then, Bob and Gertrude trade positions. Then, Action 5 repeats. Then, Action 26 repeats. Then, Action 12 repeats. Then, Gertrude and Eve trade positions. Then, Action 34 repeats. Then, Claire and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions (let's call it Action 51). Then, Dave and Claire trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Eve and Alice trade positions (let's call it Action 52). Then, Alice and Eve trade positions (let's call it Action 53). Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Alice and Bob trade positions. Then, Action 36 repeats. Then, Gertrude and Bob trade positions. Then, Action 40 repeats. Then, Action 5 repeats. Then, Alice and Eve trade positions. Then, Action 43 repeats. Then, Action 42 repeats. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions (let's call it Action 54). Then, Alice and Gertrude discuss something (let's call it Action 55). Then, Alice and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Action 54 repeats. Then, Gertrude and Alice trade positions (let's call it Action 56). Then, Gertrude and Fred trade positions. Then, Action 18 repeats. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something (let's call it Action 57). Then, Action 52 repeats. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions (let's call it Action 58). Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something (let's call it Action 59). Then, Gertrude and Alice trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Action 3 repeats. Then, Action 19 repeats. Then, Fred and Dave discuss something (let's call it Action 60). Then, Fred and Dave trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something (let's call it Action 61). Then, Fred and Eve trade positions. Then, Action 34 repeats. Then, Eve and Gertrude discuss something (let's call it Action 62). Then, Eve and Gertrude trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something (let's call it Action 63). Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Action 35 repeats. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Action 29 repeats. Then, Action 41 repeats. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Action 35 repeats. Then, Gertrude and Bob discuss something (let's call it Action 64). Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 5 repeats. Then, Alice and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Alice trade positions. Then, Action 5 repeats. Then, Action 9 repeats. Then, Action 5 repeats. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Action 37 repeats. Then, Action 34 repeats. Then, Gertrude and Fred trade positions. Then, Action 17 repeats. Then, Fred and Claire discuss something (let's call it Action 65). Then, Fred and Claire trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something (let's call it Action 66). Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Action 17 repeats. Then, Eve and Gertrude trade positions. Then, Action 35 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Action 12 repeats. Then, Action 30 repeats. Then, Action 40 repeats. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Action 12 repeats. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something (let's call it Action 67). Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Alice and Dave trade positions. Then, Action 23 repeats. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Action 19 repeats. Then, Action 60 repeats. Then, Fred and Dave trade positions. Then, Fred and Bob trade positions. Then, Action 40 repeats. Then, Action 39 repeats. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Action 5 repeats. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Dave and Gertrude trade positions. Finally, Claire and Gertrude trade positions. At the end of the match, Dave is playing\nOptions:\n(A) fullback\n(B) benchwarmer\n(C) right midfielder\n(D) striker\n(E) left winger\n(F) goalkeeper\n(G) cheerleader", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:028", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a black ball, Bob has a blue ball, Claire has a red ball, Dave has a purple ball, Eve has a pink ball, Fred has a brown ball, and Gertrude has a white ball.\nAs the game progresses, pairs of players trade balls. First, Fred and Gertrude swap balls. Then, nothing happens for a while (let's call it Action 1). Then, Eve and Dave swap balls (let's call it Action 2). Then, Eve and Dave discuss something (let's call it Action 3). Then, Eve and Dave swap balls. Then, Gertrude and Alice swap balls (let's call it Action 4). Then, Alice and Fred swap balls (let's call it Action 5). Then, Fred and Alice swap balls (let's call it Action 6). Then, Alice and Gertrude swap balls (let's call it Action 7). Then, Bob and Fred swap balls (let's call it Action 8). Then, Fred and Bob swap balls (let's call it Action 9). Then, nothing happens for a while. Then, Claire and Gertrude swap balls (let's call it Action 10). Then, Gertrude and Bob swap balls (let's call it Action 11). Then, Bob and Gertrude swap balls (let's call it Action 12). Then, Gertrude and Claire swap balls (let's call it Action 13). Then, Fred and Bob swap balls. Then, Fred and Bob discuss something (let's call it Action 14). Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls (let's call it Action 15). Then, Alice and Bob swap balls (let's call it Action 16). Then, Bob and Alice swap balls (let's call it Action 17). Then, Alice and Dave swap balls (let's call it Action 18). Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Gertrude and Eve swap balls (let's call it Action 19). Then, Eve and Gertrude swap balls (let's call it Action 20). Then, Gertrude and Alice swap balls. Then, Eve and Bob swap balls (let's call it Action 21). Then, Bob and Claire swap balls (let's call it Action 22). Then, Claire and Bob swap balls (let's call it Action 23). Then, Bob and Eve swap balls (let's call it Action 24). Then, Claire and Bob swap balls. Then, Action 24 repeats. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls (let's call it Action 25). Then, Dave and Claire swap balls (let's call it Action 26). Then, Claire and Bob swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Eve and Alice swap balls (let's call it Action 27). Then, Eve and Alice discuss something (let's call it Action 28). Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls (let's call it Action 29). Then, Gertrude and Fred swap balls (let's call it Action 30). Then, Fred and Alice swap balls. Then, Eve and Gertrude swap balls. Then, Action 13 repeats. Then, Action 10 repeats. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Action 21 repeats. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Action 13 repeats. Then, Claire and Eve swap balls (let's call it Action 31). Then, Eve and Claire swap balls (let's call it Action 32). Then, Action 10 repeats. Then, Claire and Fred swap balls (let's call it Action 33). Then, Fred and Bob swap balls. Then, Action 8 repeats. Then, Fred and Claire swap balls (let's call it Action 34). Then, nothing happens for a while. Then, Bob and Dave swap balls (let's call it Action 35). Then, Dave and Bob swap balls (let's call it Action 36). Then, Fred and Eve swap balls (let's call it Action 37). Then, Eve and Dave swap balls. Then, Dave and Eve swap balls (let's call it Action 38). Then, Eve and Fred swap balls (let's call it Action 39). Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something (let's call it Action 40). Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Alice and Claire swap balls (let's call it Action 41). Then, Alice and Claire discuss something (let's call it Action 42). Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Action 6 repeats. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Action 10 repeats. Then, Gertrude and Claire swap balls. Then, Action 33 repeats. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something (let's call it Action 43). Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something (let's call it Action 44). Then, Action 26 repeats. Then, Gertrude and Eve swap balls. Then, Action 20 repeats. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Action 38 repeats. Then, Alice and Claire swap balls. Then, Action 23 repeats. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls (let's call it Action 45). Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, nothing happens for a while. Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 33 repeats. Then, Fred and Dave swap balls (let's call it Action 46). Then, Dave and Fred swap balls (let's call it Action 47). Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something (let's call it Action 48). Then, Claire and Alice swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something (let's call it Action 49). Then, Action 6 repeats. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something (let's call it Action 50). Then, Action 29 repeats. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Action 6 repeats. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Action 5 repeats. Then, Action 37 repeats. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something (let's call it Action 51). Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, Action 1 repeats. Then, Action 29 repeats. Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Action 6 repeats. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something (let's call it Action 52). Then, Action 25 repeats. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Action 1 repeats. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Action 1 repeats. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Alice and Claire swap balls. Then, Dave and Gertrude swap balls (let's call it Action 53). Then, Gertrude and Alice swap balls. Then, Action 7 repeats. Then, Gertrude and Dave swap balls (let's call it Action 54). Then, Alice and Gertrude swap balls. Then, Action 4 repeats. Then, Action 26 repeats. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Dave swap balls. Then, Action 24 repeats. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Alice and Bob swap balls. Then, Action 8 repeats. Then, Action 9 repeats. Then, Bob and Alice swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something (let's call it Action 55). Then, Bob and Alice swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Action 10 repeats. Then, Action 1 repeats. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Action 25 repeats. Then, nothing happens for a while. Then, Action 1 repeats. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Action 1 repeats. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 31 repeats. Then, Action 32 repeats. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Action 34 repeats. Then, Claire and Gertrude swap balls. Then, Action 30 repeats. Then, Action 29 repeats. Then, Gertrude and Claire swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Action 29 repeats. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Action 18 repeats. Then, Eve and Alice swap balls. Then, Action 28 repeats. Then, Eve and Alice swap balls. Then, Action 27 repeats. Then, Action 7 repeats. Then, Gertrude and Alice swap balls. Then, Alice and Eve swap balls (let's call it Action 56). Then, Alice and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something (let's call it Action 57). Then, Action 5 repeats. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, Action 24 repeats. Then, Bob and Eve discuss something (let's call it Action 58). Then, Action 24 repeats. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Action 10 repeats. Then, Gertrude and Claire swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Action 19 repeats. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Action 20 repeats. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Bob swap balls. Then, Action 43 repeats. Then, Alice and Bob swap balls. Then, Claire and Alice swap balls. Then, Action 48 repeats. Then, Claire and Alice swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something (let's call it Action 59). Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Action 25 repeats. Then, Action 52 repeats. Then, Claire and Dave swap balls. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Action 32 repeats. Then, Claire and Alice swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something (let's call it Action 60). Then, Eve and Fred swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, Action 32 repeats. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Gertrude and Dave swap balls. Then, Action 53 repeats. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Action 21 repeats. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Action 37 repeats. Then, Gertrude and Fred swap balls. Finally, Gertrude and Bob swap balls. At the end of the game, Dave has the\nOptions:\n(A) black ball\n(B) blue ball\n(C) red ball\n(D) purple ball\n(E) pink ball\n(F) brown ball\n(G) white ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:030", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a green present, Bob has a orange ball, Claire has a black ball, Dave has a blue present, Eve has a pink ball, Fred has a purple present, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Fred and Dave swap their gifts. Then, Fred and Bob swap their gifts (let's call it Action 1). Then, Bob and Eve swap their gifts (let's call it Action 2). Then, Eve and Bob swap their gifts (let's call it Action 3). Then, Bob and Fred swap their gifts (let's call it Action 4). Then, Bob and Dave swap their gifts (let's call it Action 5). Then, Dave and Gertrude swap their gifts (let's call it Action 6). Then, Gertrude and Dave swap their gifts (let's call it Action 7). Then, Dave and Bob swap their gifts (let's call it Action 8). Then, Claire and Gertrude swap their gifts (let's call it Action 9). Then, Gertrude and Bob swap their gifts (let's call it Action 10). Then, Bob and Gertrude swap their gifts (let's call it Action 11). Then, Gertrude and Claire swap their gifts (let's call it Action 12). Then, Claire and Eve swap their gifts (let's call it Action 13). Then, Eve and Fred swap their gifts (let's call it Action 14). Then, Fred and Eve swap their gifts (let's call it Action 15). Then, Eve and Claire swap their gifts (let's call it Action 16). Then, Eve and Gertrude swap their gifts (let's call it Action 17). Then, Action 10 repeats. Then, Action 11 repeats. Then, Gertrude and Eve swap their gifts (let's call it Action 18). Then, Alice and Bob swap their gifts (let's call it Action 19). Then, Bob and Alice swap their gifts (let's call it Action 20). Then, Action 8 repeats. Then, Dave and Bob discuss something (let's call it Action 21). Then, Dave and Bob swap their gifts. Then, Alice and Eve swap their gifts (let's call it Action 22). Then, Eve and Alice swap their gifts (let's call it Action 23). Then, nothing happens for a while (let's call it Action 24). Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something (let's call it Action 25). Then, Claire and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap their gifts (let's call it Action 26). Then, Action 1 repeats. Then, Bob and Fred swap their gifts. Then, Fred and Alice swap their gifts (let's call it Action 27). Then, Gertrude and Alice swap their gifts (let's call it Action 28). Then, Alice and Gertrude swap their gifts (let's call it Action 29). Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap their gifts (let's call it Action 30). Then, Alice and Dave discuss something (let's call it Action 31). Then, Alice and Dave swap their gifts. Then, Action 3 repeats. Then, Eve and Bob discuss something (let's call it Action 32). Then, Eve and Bob swap their gifts. Then, Claire and Bob swap their gifts (let's call it Action 33). Then, Claire and Bob discuss something (let's call it Action 34). Then, Claire and Bob swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something (let's call it Action 35). Then, Eve and Alice swap their gifts. Then, Bob and Claire swap their gifts (let's call it Action 36). Then, Action 9 repeats. Then, Gertrude and Claire swap their gifts. Then, Action 33 repeats. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Dave and Claire swap their gifts (let's call it Action 37). Then, Dave and Claire discuss something (let's call it Action 38). Then, Dave and Claire swap their gifts. Then, Alice and Bob swap their gifts. Then, Action 2 repeats. Then, Eve and Bob swap their gifts. Then, Action 20 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 17 repeats. Then, Eve and Gertrude discuss something (let's call it Action 39). Then, Eve and Gertrude swap their gifts. Then, Action 24 repeats. Then, Eve and Claire swap their gifts. Then, Eve and Dave swap their gifts (let's call it Action 40). Then, Dave and Eve swap their gifts (let's call it Action 41). Then, Action 24 repeats. Then, Dave and Claire swap their gifts. Then, Claire and Fred swap their gifts (let's call it Action 42). Then, Fred and Claire swap their gifts (let's call it Action 43). Then, Claire and Dave swap their gifts (let's call it Action 44). Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something (let's call it Action 45). Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something (let's call it Action 46). Then, Fred and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Action 33 repeats. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Action 11 repeats. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Action 27 repeats. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something (let's call it Action 47). Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Alice swap their gifts (let's call it Action 48). Then, Alice and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Alice discuss something (let's call it Action 49). Then, Gertrude and Alice swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Claire swap their gifts (let's call it Action 50). Then, Claire and Alice swap their gifts (let's call it Action 51). Then, Action 26 repeats. Then, Action 36 repeats. Then, Claire and Bob swap their gifts. Then, Action 28 repeats. Then, Alice and Gertrude swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Action 22 repeats. Then, Action 23 repeats. Then, nothing happens for a while. Then, Fred and Dave swap their gifts (let's call it Action 52). Then, Fred and Dave discuss something (let's call it Action 53). Then, Fred and Dave swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Action 15 repeats. Then, Action 3 repeats. Then, Bob and Eve swap their gifts. Then, Action 14 repeats. Then, Action 17 repeats. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Action 2 repeats. Then, Gertrude and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Action 40 repeats. Then, Dave and Gertrude swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts (let's call it Action 54). Then, Action 24 repeats. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something (let's call it Action 55). Then, Action 51 repeats. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts (let's call it Action 56). Then, Fred and Gertrude discuss something (let's call it Action 57). Then, Fred and Gertrude swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts (let's call it Action 58). Then, Fred and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Bob and Claire swap their gifts. Then, Action 33 repeats. Then, Action 28 repeats. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Action 52 repeats. Then, Action 37 repeats. Then, Action 17 repeats. Then, Gertrude and Eve swap their gifts. Then, Action 3 repeats. Then, Action 2 repeats. Then, Fred and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Action 24 repeats. Then, nothing happens for a while. Then, Fred and Eve swap their gifts. Then, Action 17 repeats. Then, Action 18 repeats. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Action 19 repeats. Then, Bob and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Action 15 repeats. Then, Action 13 repeats. Then, Action 14 repeats. Then, Action 15 repeats. Then, Eve and Claire swap their gifts. Then, Eve and Bob swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Action 57 repeats. Then, Fred and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something (let's call it Action 59). Then, Claire and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 24 repeats. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something (let's call it Action 60). Then, Alice and Claire swap their gifts. Then, Action 37 repeats. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something (let's call it Action 61). Then, Action 54 repeats. Then, Action 19 repeats. Then, Bob and Alice swap their gifts. Then, Action 36 repeats. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 51 repeats. Then, Action 55 repeats. Then, Claire and Alice swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, Fred and Bob swap their gifts. Then, Action 46 repeats. Then, Fred and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Action 17 repeats. Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Action 11 repeats. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something (let's call it Action 62). Then, Eve and Fred swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Action 6 repeats. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Action 24 repeats. Then, Alice and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Alice and Gertrude discuss something (let's call it Action 63). Then, Alice and Gertrude swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Action 36 repeats. Then, Bob and Claire discuss something (let's call it Action 64). Then, Action 36 repeats. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Action 12 repeats. Then, Bob and Alice swap their gifts. Then, Gertrude and Dave swap their gifts. Finally, Claire and Alice swap their gifts. At the end of the event, Eve has the\nOptions:\n(A) green present\n(B) orange ball\n(C) black ball\n(D) blue present\n(E) pink ball\n(F) purple present\n(G) yellow present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:031", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a white ball, Bob has a brown ball, Claire has a blue ball, Dave has a pink ball, Eve has a purple ball, Fred has a black ball, and Gertrude has a yellow ball.\nAs the game progresses, pairs of players trade balls. First, Fred and Dave swap balls. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Gertrude and Claire swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Fred swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Bob and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Dave and Bob swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Eve swap balls. Then, Dave and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Dave swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Claire and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Bob and Alice swap balls. Finally, Eve and Bob swap balls. At the end of the game, Alice has the\nOptions:\n(A) white ball\n(B) brown ball\n(C) blue ball\n(D) pink ball\n(E) purple ball\n(F) black ball\n(G) yellow ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:032", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Sam, Claire is dancing with Izzi, Dave is dancing with Rodrigo, Eve is dancing with Karl, Fred is dancing with Lola, and Gertrude is dancing with Patrick.\nThroughout the song, the dancers often trade partners. First, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, Fred and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Fred switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Dave switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Fred switch partners. Then, Dave and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Fred and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Fred switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Eve switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something. Then, Eve and Claire switch partners. Then, Fred and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Fred switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Alice switch partners. Then, Dave and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Claire and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Fred switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Alice and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Alice switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Fred switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Claire and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Claire and Dave switch partners. Then, Alice and Gertrude switch partners. Finally, Bob and Fred switch partners. At the end of the dance, Dave is dancing with\nOptions:\n(A) Melissa\n(B) Sam\n(C) Izzi\n(D) Rodrigo\n(E) Karl\n(F) Lola\n(G) Patrick", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:033", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a red ball, Bob has a brown ball, Claire has a green ball, Dave has a orange ball, Eve has a black ball, Fred has a pink ball, and Gertrude has a yellow ball.\nAs the game progresses, pairs of players trade balls. First, Bob and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Alice and Dave swap balls. Then, Bob and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Bob swap balls. Then, Alice and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Alice swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Eve swap balls. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Bob and Eve swap balls. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Fred swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Dave and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Gertrude and Fred swap balls. Then, Dave and Alice swap balls. Finally, Dave and Eve swap balls. At the end of the game, Dave has the\nOptions:\n(A) red ball\n(B) brown ball\n(C) green ball\n(D) orange ball\n(E) black ball\n(F) pink ball\n(G) yellow ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:034", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a green present, Bob has a orange ball, Claire has a black ball, Dave has a blue present, Eve has a red present, Fred has a brown present, and Gertrude has a pink ball.\nAs the event progresses, pairs of people swap gifts. First, Fred and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Claire discuss something. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Claire discuss something. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Dave and Claire swap their gifts. Then, Dave and Claire discuss something. Then, Dave and Claire swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Bob and Gertrude swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something. Then, Fred and Alice swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, nothing happens for a while. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Alice and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something. Then, Dave and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Claire and Fred swap their gifts. Then, Claire and Fred discuss something. Then, Claire and Fred swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something. Then, Fred and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Dave and Eve swap their gifts. Finally, Alice and Eve swap their gifts. At the end of the event, Eve has the\nOptions:\n(A) green present\n(B) orange ball\n(C) black ball\n(D) blue present\n(E) red present\n(F) brown present\n(G) pink ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:035", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a blue present, Bob has a black ball, Claire has a purple present, Dave has a pink ball, Eve has a green present, Fred has a orange ball, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Bob and Alice swap their gifts. Then, nothing happens for a while (let's call it Action 1). Then, Eve and Gertrude swap their gifts (let's call it Action 2). Then, Gertrude and Fred swap their gifts (let's call it Action 3). Then, Fred and Gertrude swap their gifts (let's call it Action 4). Then, Gertrude and Eve swap their gifts (let's call it Action 5). Then, nothing happens for a while. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something (let's call it Action 6). Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts (let's call it Action 7). Then, Claire and Eve swap their gifts (let's call it Action 8). Then, Eve and Claire swap their gifts (let's call it Action 9). Then, Claire and Gertrude swap their gifts (let's call it Action 10). Then, Eve and Dave swap their gifts (let's call it Action 11). Then, Dave and Eve swap their gifts (let's call it Action 12). Then, Dave and Claire swap their gifts (let's call it Action 13). Then, Claire and Dave swap their gifts (let's call it Action 14). Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 12 repeats. Then, Dave and Eve discuss something (let's call it Action 15). Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Bob and Fred swap their gifts (let's call it Action 16). Then, Fred and Bob swap their gifts (let's call it Action 17). Then, Action 1 repeats. Then, Gertrude and Dave swap their gifts (let's call it Action 18). Then, Dave and Gertrude swap their gifts (let's call it Action 19). Then, Alice and Dave swap their gifts (let's call it Action 20). Then, Dave and Alice swap their gifts (let's call it Action 21). Then, Action 1 repeats. Then, nothing happens for a while. Then, Fred and Eve swap their gifts (let's call it Action 22). Then, Fred and Eve discuss something (let's call it Action 23). Then, Fred and Eve swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts (let's call it Action 24). Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts (let's call it Action 25). Then, nothing happens for a while. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Eve and Alice swap their gifts (let's call it Action 26). Then, Eve and Alice discuss something (let's call it Action 27). Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Bob and Alice swap their gifts (let's call it Action 28). Then, Bob and Alice discuss something (let's call it Action 29). Then, Bob and Alice swap their gifts. Then, Action 18 repeats. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Action 28 repeats. Then, Alice and Bob swap their gifts (let's call it Action 30). Then, Dave and Fred swap their gifts (let's call it Action 31). Then, Dave and Fred discuss something (let's call it Action 32). Then, Action 31 repeats. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something (let's call it Action 33). Then, Action 17 repeats. Then, Eve and Fred swap their gifts (let's call it Action 34). Then, nothing happens for a while. Then, Claire and Alice swap their gifts (let's call it Action 35). Then, Claire and Alice discuss something (let's call it Action 36). Then, Action 35 repeats. Then, Eve and Bob swap their gifts (let's call it Action 37). Then, Bob and Eve swap their gifts (let's call it Action 38). Then, nothing happens for a while. Then, Action 1 repeats. Then, Bob and Dave swap their gifts (let's call it Action 39). Then, Bob and Dave discuss something (let's call it Action 40). Then, Bob and Dave swap their gifts. Then, Action 12 repeats. Then, Action 15 repeats. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Fred and Alice swap their gifts (let's call it Action 41). Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Fred swap their gifts (let's call it Action 42). Then, Alice and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Action 21 repeats. Then, Fred and Dave swap their gifts (let's call it Action 43). Then, Fred and Dave discuss something (let's call it Action 44). Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, Action 38 repeats. Then, Eve and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 1 repeats. Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts (let's call it Action 45). Then, Bob and Claire discuss something (let's call it Action 46). Then, Bob and Claire swap their gifts. Then, Action 1 repeats. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something (let's call it Action 47). Then, Claire and Dave swap their gifts. Then, Dave and Bob swap their gifts (let's call it Action 48). Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Action 32 repeats. Then, Dave and Fred swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, nothing happens for a while. Then, Action 1 repeats. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Dave swap their gifts. Then, Action 21 repeats. Then, Action 20 repeats. Then, Dave and Eve swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Action 4 repeats. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Action 3 repeats. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something (let's call it Action 49). Then, Dave and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something (let's call it Action 50). Then, Gertrude and Dave swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Action 45 repeats. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts (let's call it Action 51). Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, Bob and Gertrude swap their gifts (let's call it Action 52). Then, Gertrude and Bob swap their gifts (let's call it Action 53). Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Action 48 repeats. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, Action 34 repeats. Then, Fred and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something (let's call it Action 54). Then, Eve and Claire swap their gifts. Then, Bob and Dave swap their gifts. Then, Action 13 repeats. Then, Claire and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Alice and Fred swap their gifts. Then, Alice and Fred discuss something (let's call it Action 55). Then, Alice and Fred swap their gifts. Then, Action 1 repeats. Then, Action 20 repeats. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Action 21 repeats. Then, Action 4 repeats. Then, Action 3 repeats. Then, Action 12 repeats. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 11 repeats. Then, Action 20 repeats. Then, Action 31 repeats. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Action 41 repeats. Then, Alice and Eve swap their gifts (let's call it Action 56). Then, nothing happens for a while. Then, Action 45 repeats. Then, Action 46 repeats. Then, Bob and Claire swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Fred and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Action 42 repeats. Then, Action 13 repeats. Then, Dave and Claire discuss something (let's call it Action 57). Then, Dave and Claire swap their gifts. Then, Action 1 repeats. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Claire and Bob swap their gifts. Then, Action 38 repeats. Then, Eve and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Action 1 repeats. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something (let's call it Action 58). Then, Bob and Gertrude swap their gifts. Then, Action 1 repeats. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Dave and Claire swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Fred discuss something (let's call it Action 59). Then, Action 34 repeats. Then, nothing happens for a while. Then, Claire and Fred swap their gifts (let's call it Action 60). Then, Fred and Claire swap their gifts (let's call it Action 61). Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something. Then, Dave and Eve swap their gifts. Then, Action 56 repeats. Then, Action 37 repeats. Then, Bob and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 2 repeats. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Action 1 repeats. Then, Action 13 repeats. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts (let's call it Action 62). Then, Claire and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Claire discuss something (let's call it Action 63). Then, Fred and Claire swap their gifts. Then, Action 9 repeats. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Action 56 repeats. Then, Action 26 repeats. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Action 1 repeats. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something (let's call it Action 64). Then, Claire and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Action 15 repeats. Then, Dave and Eve swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Fred swap their gifts. Finally, Claire and Gertrude swap their gifts. At the end of the event, Claire has the\nOptions:\n(A) blue present\n(B) black ball\n(C) purple present\n(D) pink ball\n(E) green present\n(F) orange ball\n(G) yellow present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:037", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing cheerleader, Bob is playing left winger, Claire is playing goalkeeper, Dave is playing right midfielder, Eve is playing center midfielder, Fred is playing benchwarmer, and Gertrude is playing striker.\nAs the game progresses, pairs of players occasionally swap positions. First, Fred and Claire trade positions. Then, Claire and Dave trade positions (let's call it Action 1). Then, Dave and Eve trade positions (let's call it Action 2). Then, Eve and Dave trade positions (let's call it Action 3). Then, Dave and Claire trade positions (let's call it Action 4). Then, Bob and Alice trade positions (let's call it Action 5). Then, Alice and Claire trade positions (let's call it Action 6). Then, Claire and Alice trade positions (let's call it Action 7). Then, Alice and Bob trade positions (let's call it Action 8). Then, Dave and Bob trade positions (let's call it Action 9). Then, Bob and Dave trade positions (let's call it Action 10). Then, Gertrude and Bob trade positions (let's call it Action 11). Then, Bob and Gertrude trade positions (let's call it Action 12). Then, Claire and Bob trade positions (let's call it Action 13). Then, Bob and Claire trade positions (let's call it Action 14). Then, Dave and Alice trade positions (let's call it Action 15). Then, Dave and Alice discuss something (let's call it Action 16). Then, Dave and Alice trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 17). Then, Action 3 repeats. Then, Action 8 repeats. Then, Bob and Eve trade positions (let's call it Action 18). Then, Eve and Bob trade positions (let's call it Action 19). Then, Bob and Alice trade positions. Then, Fred and Dave trade positions (let's call it Action 20). Then, Action 4 repeats. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions (let's call it Action 21). Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions (let's call it Action 22). Then, Dave and Claire trade positions. Then, Action 13 repeats. Then, Claire and Bob discuss something (let's call it Action 23). Then, Claire and Bob trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions. Then, Action 20 repeats. Then, Dave and Claire trade positions. Then, nothing happens for a while (let's call it Action 24). Then, Claire and Gertrude trade positions (let's call it Action 25). Then, Claire and Gertrude discuss something (let's call it Action 26). Then, Claire and Gertrude trade positions. Then, Eve and Claire trade positions (let's call it Action 27). Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Eve trade positions (let's call it Action 28). Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Action 2 repeats. Then, Dave and Eve discuss something (let's call it Action 29). Then, Dave and Eve trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions (let's call it Action 30). Then, Fred and Eve trade positions (let's call it Action 31). Then, Eve and Bob trade positions. Then, Action 2 repeats. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something (let's call it Action 32). Then, Action 22 repeats. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions (let's call it Action 33). Then, Eve and Alice discuss something (let's call it Action 34). Then, Eve and Alice trade positions. Then, Action 4 repeats. Then, Dave and Claire discuss something (let's call it Action 35). Then, Dave and Claire trade positions. Then, Gertrude and Alice trade positions (let's call it Action 36). Then, Alice and Gertrude trade positions (let's call it Action 37). Then, nothing happens for a while. Then, Dave and Bob trade positions. Then, Bob and Eve trade positions. Then, Action 19 repeats. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Gertrude and Alice trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something (let's call it Action 38). Then, Eve and Fred trade positions. Then, Alice and Fred trade positions (let's call it Action 39). Then, Alice and Fred discuss something (let's call it Action 40). Then, Alice and Fred trade positions. Then, Gertrude and Eve trade positions (let's call it Action 41). Then, Gertrude and Eve discuss something (let's call it Action 42). Then, Gertrude and Eve trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions (let's call it Action 43). Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something (let's call it Action 44). Then, Alice and Claire trade positions. Then, Alice and Eve trade positions (let's call it Action 45). Then, Action 3 repeats. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Claire and Fred trade positions (let's call it Action 46). Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions (let's call it Action 47). Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Action 2 repeats. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Action 2 repeats. Then, nothing happens for a while. Then, Action 8 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 5 repeats. Then, Fred and Alice trade positions (let's call it Action 48). Then, Action 39 repeats. Then, Fred and Bob trade positions (let's call it Action 49). Then, Fred and Bob discuss something (let's call it Action 50). Then, Fred and Bob trade positions. Then, Bob and Fred trade positions (let's call it Action 51). Then, Bob and Fred discuss something (let's call it Action 52). Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Action 7 repeats. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Alice and Gertrude trade positions. Then, Action 36 repeats. Then, Eve and Fred trade positions. Then, Action 49 repeats. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Action 24 repeats. Then, Action 27 repeats. Then, Eve and Claire discuss something (let's call it Action 53). Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Action 25 repeats. Then, nothing happens for a while. Then, Action 49 repeats. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, Action 8 repeats. Then, Alice and Bob discuss something (let's call it Action 54). Then, Alice and Bob trade positions. Then, Gertrude and Fred trade positions (let's call it Action 55). Then, Gertrude and Fred discuss something (let's call it Action 56). Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Action 24 repeats. Then, Action 15 repeats. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Action 22 repeats. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something (let's call it Action 57). Then, Fred and Dave trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions (let's call it Action 58). Then, Gertrude and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Dave and Gertrude trade positions (let's call it Action 59). Then, Gertrude and Dave trade positions (let's call it Action 60). Then, Action 24 repeats. Then, Dave and Alice trade positions. Then, Action 37 repeats. Then, Gertrude and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something (let's call it Action 61). Then, Bob and Gertrude trade positions. Then, Action 49 repeats. Then, Action 51 repeats. Then, Action 1 repeats. Then, Claire and Dave discuss something (let's call it Action 62). Then, Action 1 repeats. Then, Eve and Alice trade positions. Then, Action 45 repeats. Then, Eve and Fred trade positions. Then, Fred and Dave trade positions. Then, Action 21 repeats. Then, Fred and Eve trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, Action 8 repeats. Then, Bob and Dave trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Fred and Claire trade positions. Then, Claire and Eve trade positions. Then, Action 27 repeats. Then, Action 46 repeats. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Action 55 repeats. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions (let's call it Action 63). Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Action 33 repeats. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Action 9 repeats. Then, Action 47 repeats. Then, Fred and Claire trade positions. Then, Action 7 repeats. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Bob trade positions. Then, Action 50 repeats. Then, Fred and Bob trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something (let's call it Action 64). Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Action 49 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Action 45 repeats. Then, Alice and Eve discuss something (let's call it Action 65). Then, Alice and Eve trade positions. Then, Fred and Dave trade positions. Then, Action 21 repeats. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something (let's call it Action 66). Then, Action 31 repeats. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Action 15 repeats. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Action 49 repeats. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Action 45 repeats. Then, Action 33 repeats. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Bob trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Bob and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Action 9 repeats. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something (let's call it Action 67). Then, Dave and Fred trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Action 25 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Dave and Bob trade positions. Finally, Fred and Eve trade positions. At the end of the match, Bob is playing\nOptions:\n(A) cheerleader\n(B) left winger\n(C) goalkeeper\n(D) right midfielder\n(E) center midfielder\n(F) benchwarmer\n(G) striker", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:038", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a black ball, Bob has a blue ball, Claire has a red ball, Dave has a purple ball, Eve has a pink ball, Fred has a brown ball, and Gertrude has a white ball.\nAs the game progresses, pairs of players trade balls. First, Fred and Gertrude swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Fred swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Fred and Alice swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Fred and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Eve swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Claire swap balls. Then, Dave and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Dave swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Fred and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Fred swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Eve and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Eve swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Bob and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Bob swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Alice and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Fred and Eve swap balls. Then, Gertrude and Fred swap balls. Finally, Gertrude and Bob swap balls. At the end of the game, Alice has the\nOptions:\n(A) black ball\n(B) blue ball\n(C) red ball\n(D) purple ball\n(E) pink ball\n(F) brown ball\n(G) white ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:040", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Ulysses, Bob gets Frankenstein, Claire gets Moby Dick, Dave gets The Odyssey, Eve gets The Great Gatsby, Fred gets Lolita, and Gertrude gets The Pearl.\nAs the semester proceeds, they start trading around the new books. First, Bob and Claire swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, Claire and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Claire swap books. Then, Alice and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Alice swap books. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Alice and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Dave swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Claire swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Eve and Alice swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Gertrude and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Claire swap books. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Claire swap books. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Bob and Alice discuss something. Then, Bob and Alice swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Dave swap books. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Gertrude swap books. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Bob and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Fred and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Fred swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, Dave and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Dave swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Fred and Bob swap books. Then, Fred and Bob discuss something. Then, Fred and Bob swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Fred and Eve swap books. Then, Fred and Eve discuss something. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Alice and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Alice swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Claire and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Claire swap books. Then, Fred and Claire swap books. Then, Fred and Claire discuss something. Then, Fred and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Fred swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Alice and Bob swap books. Then, Eve and Claire swap books. Finally, Alice and Fred swap books. At the end of the semester, Eve has\nOptions:\n(A) Ulysses\n(B) Frankenstein\n(C) Moby Dick\n(D) The Odyssey\n(E) The Great Gatsby\n(F) Lolita\n(G) The Pearl", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:043", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing right midfielder, Bob is playing fullback, Claire is playing center midfielder, Dave is playing left midfielder, Eve is playing striker, Fred is playing cheerleader, and Gertrude is playing goalkeeper.\nAs the game progresses, pairs of players occasionally swap positions. First, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Fred and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Claire trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Eve and Alice trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Fred trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Dave trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Bob and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Dave and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Dave trade positions. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Bob and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Bob trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Fred and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Eve trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Alice and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Alice trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Claire and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Claire trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Dave and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Claire trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Fred and Gertrude trade positions. Finally, Fred and Claire trade positions. At the end of the match, Eve is playing\nOptions:\n(A) right midfielder\n(B) fullback\n(C) center midfielder\n(D) left midfielder\n(E) striker\n(F) cheerleader\n(G) goalkeeper", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:046", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a yellow ball, Bob has a brown ball, Claire has a blue ball, Dave has a black ball, Eve has a pink ball, Fred has a orange ball, and Gertrude has a green ball.\nAs the game progresses, pairs of players trade balls. First, Bob and Eve swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Alice swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Alice swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Bob and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, Eve and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Fred and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Claire swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Claire and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Dave swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Dave swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Eve and Claire swap balls. Finally, Bob and Fred swap balls. At the end of the game, Alice has the\nOptions:\n(A) yellow ball\n(B) brown ball\n(C) blue ball\n(D) black ball\n(E) pink ball\n(F) orange ball\n(G) green ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:050", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Lola, Bob is dancing with Helga, Claire is dancing with Sam, Dave is dancing with Melissa, Eve is dancing with Jamie, Fred is dancing with Rodrigo, and Gertrude is dancing with Patrick.\nThroughout the song, the dancers often trade partners. First, Dave and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Eve and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Fred switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Eve switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Alice switch partners. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something. Then, Eve and Claire switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Bob and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Alice and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Bob and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Bob switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Dave switch partners. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Eve switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners. Then, Fred and Claire switch partners. Then, Bob and Alice switch partners. Finally, Eve and Claire switch partners. At the end of the dance, Bob is dancing with\nOptions:\n(A) Lola\n(B) Helga\n(C) Sam\n(D) Melissa\n(E) Jamie\n(F) Rodrigo\n(G) Patrick", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:053", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Great Gatsby, Bob gets Catch-22, Claire gets The Fellowship of the Ring, Dave gets Ulysses, Eve gets Frankenstein, Fred gets The Pearl, and Gertrude gets The Odyssey.\nAs the semester proceeds, they start trading around the new books. First, Fred and Alice swap books. Then, nothing happens for a while (let's call it Action 1). Then, Dave and Alice swap books (let's call it Action 2). Then, Alice and Dave swap books (let's call it Action 3). Then, Claire and Bob swap books (let's call it Action 4). Then, Bob and Claire swap books (let's call it Action 5). Then, Dave and Claire swap books (let's call it Action 6). Then, Claire and Eve swap books (let's call it Action 7). Then, Eve and Claire swap books (let's call it Action 8). Then, Claire and Dave swap books (let's call it Action 9). Then, Alice and Fred swap books (let's call it Action 10). Then, Fred and Alice swap books (let's call it Action 11). Then, Action 4 repeats. Then, Bob and Eve swap books (let's call it Action 12). Then, Eve and Bob swap books (let's call it Action 13). Then, Bob and Claire swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books (let's call it Action 14). Then, Alice and Claire swap books (let's call it Action 15). Then, Claire and Dave swap books. Then, Eve and Alice swap books (let's call it Action 16). Then, Alice and Eve swap books (let's call it Action 17). Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred swap books (let's call it Action 18). Then, Fred and Claire swap books (let's call it Action 19). Then, Claire and Fred swap books (let's call it Action 20). Then, Fred and Bob swap books (let's call it Action 21). Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Action 17 repeats. Then, Action 16 repeats. Then, Alice and Gertrude swap books (let's call it Action 22). Then, Gertrude and Eve swap books (let's call it Action 23). Then, Eve and Gertrude swap books (let's call it Action 24). Then, Gertrude and Alice swap books (let's call it Action 25). Then, Action 22 repeats. Then, Gertrude and Dave swap books (let's call it Action 26). Then, Dave and Gertrude swap books (let's call it Action 27). Then, Action 25 repeats. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Claire and Gertrude swap books (let's call it Action 28). Then, Gertrude and Claire swap books (let's call it Action 29). Then, nothing happens for a while. Then, Action 7 repeats. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Action 8 repeats. Then, Alice and Bob swap books (let's call it Action 30). Then, Bob and Alice swap books (let's call it Action 31). Then, nothing happens for a while. Then, Action 1 repeats. Then, nothing happens for a while. Then, Action 10 repeats. Then, Alice and Fred discuss something (let's call it Action 32). Then, Alice and Fred swap books. Then, Fred and Eve swap books (let's call it Action 33). Then, Eve and Claire swap books. Then, Action 7 repeats. Then, Eve and Fred swap books (let's call it Action 34). Then, Dave and Fred swap books (let's call it Action 35). Then, Dave and Fred discuss something (let's call it Action 36). Then, Dave and Fred swap books. Then, Dave and Bob swap books (let's call it Action 37). Then, Bob and Dave swap books (let's call it Action 38). Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Gertrude and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Action 24 repeats. Then, Bob and Gertrude swap books (let's call it Action 39). Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Bob swap books (let's call it Action 40). Then, Eve and Alice swap books. Then, Eve and Alice discuss something (let's call it Action 41). Then, Eve and Alice swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Eve and Claire swap books. Then, Action 28 repeats. Then, Gertrude and Claire swap books. Then, Claire and Eve swap books. Then, Action 1 repeats. Then, Alice and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Alice swap books. Then, Action 14 repeats. Then, Alice and Claire swap books. Then, Action 23 repeats. Then, nothing happens for a while. Then, Action 28 repeats. Then, Gertrude and Claire swap books. Then, Action 7 repeats. Then, Claire and Eve discuss something (let's call it Action 42). Then, Action 7 repeats. Then, Dave and Alice swap books. Then, Action 15 repeats. Then, Claire and Alice swap books. Then, Alice and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Dave swap books (let's call it Action 43). Then, Fred and Gertrude swap books (let's call it Action 44). Then, Gertrude and Fred swap books (let's call it Action 45). Then, Bob and Eve swap books. Then, Bob and Eve discuss something (let's call it Action 46). Then, Bob and Eve swap books. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Fred and Eve discuss something (let's call it Action 47). Then, Action 33 repeats. Then, Action 6 repeats. Then, Dave and Claire discuss something (let's call it Action 48). Then, Dave and Claire swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something (let's call it Action 49). Then, Action 18 repeats. Then, Bob and Eve swap books. Then, Action 46 repeats. Then, Bob and Eve swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Fred and Alice swap books. Then, Action 10 repeats. Then, nothing happens for a while. Then, Eve and Dave swap books (let's call it Action 50). Then, Action 35 repeats. Then, Action 43 repeats. Then, Dave and Eve swap books (let's call it Action 51). Then, Fred and Dave swap books. Then, Action 35 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Action 22 repeats. Then, Bob and Gertrude swap books. Then, Action 25 repeats. Then, Alice and Gertrude swap books. Then, Action 40 repeats. Then, Dave and Alice swap books. Then, Action 3 repeats. Then, Eve and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Action 23 repeats. Then, nothing happens for a while. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, Fred and Dave swap books. Then, Action 35 repeats. Then, Dave and Bob swap books. Then, Dave and Bob discuss something (let's call it Action 52). Then, Dave and Bob swap books. Then, Action 7 repeats. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Claire swap books. Then, Eve and Claire swap books. Then, Action 20 repeats. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Action 18 repeats. Then, Fred and Eve swap books. Then, Action 34 repeats. Then, Fred and Bob swap books. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Claire and Bob discuss something (let's call it Action 53). Then, Claire and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something (let's call it Action 54). Then, Gertrude and Eve swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Action 4 repeats. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Bob and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Bob swap books. Then, Alice and Eve swap books. Then, Action 19 repeats. Then, Fred and Claire discuss something (let's call it Action 55). Then, Fred and Claire swap books. Then, Action 44 repeats. Then, Action 45 repeats. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something (let's call it Action 56). Then, Fred and Dave swap books. Then, Action 29 repeats. Then, Gertrude and Claire discuss something (let's call it Action 57). Then, Gertrude and Claire swap books. Then, Action 1 repeats. Then, Dave and Claire swap books. Then, Action 48 repeats. Then, Dave and Claire swap books. Then, Alice and Dave swap books. Then, Action 2 repeats. Then, Bob and Claire swap books. Then, Action 9 repeats. Then, Dave and Claire swap books. Then, Action 4 repeats. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Action 35 repeats. Then, Alice and Gertrude swap books. Then, Action 29 repeats. Then, Claire and Gertrude swap books. Then, Action 25 repeats. Then, Action 7 repeats. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Dave and Eve discuss something (let's call it Action 58). Then, Action 51 repeats. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Action 1 repeats. Then, Action 1 repeats. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Fred and Claire swap books. Then, Fred and Claire discuss something. Then, Action 19 repeats. Then, Action 18 repeats. Then, Fred and Bob swap books. Then, Action 9 repeats. Then, Claire and Dave discuss something (let's call it Action 59). Then, Claire and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Gertrude swap books. Then, Action 45 repeats. Then, Fred and Dave swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Action 8 repeats. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something (let's call it Action 60). Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Action 27 repeats. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something (let's call it Action 61). Then, Action 14 repeats. Then, Action 9 repeats. Then, Action 59 repeats. Then, Claire and Dave swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, Claire and Eve swap books. Then, Action 16 repeats. Then, Alice and Eve swap books. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Action 24 repeats. Then, nothing happens for a while. Then, Action 1 repeats. Then, Dave and Gertrude swap books. Then, Action 60 repeats. Then, Dave and Gertrude swap books. Then, Claire and Alice swap books. Then, Alice and Bob swap books. Then, Action 31 repeats. Then, Alice and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Alice and Bob discuss something (let's call it Action 62). Then, Alice and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something (let's call it Action 63). Then, Gertrude and Bob swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Action 1 repeats. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something (let's call it Action 64). Then, Action 24 repeats. Then, Action 29 repeats. Then, Alice and Claire swap books. Finally, Dave and Bob swap books. At the end of the semester, Dave has\nOptions:\n(A) The Great Gatsby\n(B) Catch-22\n(C) The Fellowship of the Ring\n(D) Ulysses\n(E) Frankenstein\n(F) The Pearl\n(G) The Odyssey", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:058", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Lolita, Bob gets Moby Dick, Claire gets Hound of the Baskervilles, Dave gets Catch-22, Eve gets The Fellowship of the Ring, Fred gets The Pearl, and Gertrude gets Frankenstein.\nAs the semester proceeds, they start trading around the new books. First, Dave and Bob swap books. Then, nothing happens for a while (let's call it Action 1). Then, Dave and Bob swap books (let's call it Action 2). Then, Bob and Dave swap books (let's call it Action 3). Then, nothing happens for a while. Then, Dave and Fred swap books (let's call it Action 4). Then, Dave and Fred discuss something (let's call it Action 5). Then, Dave and Fred swap books. Then, Alice and Bob swap books (let's call it Action 6). Then, Bob and Fred swap books (let's call it Action 7). Then, Fred and Bob swap books (let's call it Action 8). Then, Bob and Alice swap books (let's call it Action 9). Then, nothing happens for a while. Then, Eve and Alice swap books (let's call it Action 10). Then, Alice and Gertrude swap books (let's call it Action 11). Then, Gertrude and Alice swap books (let's call it Action 12). Then, Alice and Eve swap books (let's call it Action 13). Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap books (let's call it Action 14). Then, Alice and Fred swap books (let's call it Action 15). Then, Fred and Alice swap books (let's call it Action 16). Then, Alice and Dave swap books (let's call it Action 17). Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire swap books (let's call it Action 18). Then, Alice and Claire discuss something (let's call it Action 19). Then, Alice and Claire swap books. Then, nothing happens for a while. Then, Dave and Claire swap books (let's call it Action 20). Then, Claire and Dave swap books (let's call it Action 21). Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave swap books (let's call it Action 22). Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Action 4 repeats. Then, Gertrude and Alice swap books. Then, Action 15 repeats. Then, Action 16 repeats. Then, Alice and Gertrude swap books. Then, Gertrude and Eve swap books (let's call it Action 23). Then, Eve and Gertrude swap books (let's call it Action 24). Then, Action 2 repeats. Then, Dave and Bob discuss something (let's call it Action 25). Then, Dave and Bob swap books. Then, Alice and Dave swap books. Then, Dave and Bob swap books. Then, Action 3 repeats. Then, Dave and Alice swap books. Then, Fred and Eve swap books (let's call it Action 26). Then, Eve and Fred swap books (let's call it Action 27). Then, Gertrude and Dave swap books (let's call it Action 28). Then, Dave and Gertrude swap books (let's call it Action 29). Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Action 13 repeats. Then, nothing happens for a while. Then, Eve and Claire swap books (let's call it Action 30). Then, Claire and Gertrude swap books (let's call it Action 31). Then, Gertrude and Claire swap books (let's call it Action 32). Then, Claire and Eve swap books (let's call it Action 33). Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Fred and Gertrude swap books (let's call it Action 34). Then, Fred and Gertrude discuss something (let's call it Action 35). Then, Fred and Gertrude swap books. Then, Bob and Alice swap books. Then, Bob and Alice discuss something (let's call it Action 36). Then, Action 9 repeats. Then, Action 1 repeats. Then, Alice and Fred swap books. Then, Action 22 repeats. Then, Action 4 repeats. Then, Fred and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Fred swap books (let's call it Action 37). Then, Fred and Claire swap books (let's call it Action 38). Then, Claire and Alice swap books (let's call it Action 39). Then, Bob and Dave swap books. Then, Action 20 repeats. Then, Action 21 repeats. Then, Dave and Bob swap books. Then, Claire and Bob swap books (let's call it Action 40). Then, Claire and Bob discuss something (let's call it Action 41). Then, Claire and Bob swap books. Then, nothing happens for a while. Then, Bob and Claire swap books (let's call it Action 42). Then, Action 31 repeats. Then, Gertrude and Claire swap books. Then, Claire and Bob swap books. Then, Action 12 repeats. Then, Alice and Gertrude swap books. Then, Action 4 repeats. Then, Fred and Dave swap books. Then, Action 21 repeats. Then, Claire and Dave discuss something (let's call it Action 43). Then, Action 21 repeats. Then, Bob and Claire swap books. Then, Action 40 repeats. Then, Claire and Fred swap books. Then, Claire and Fred discuss something (let's call it Action 44). Then, Claire and Fred swap books. Then, Alice and Fred swap books. Then, Fred and Bob swap books. Then, Action 7 repeats. Then, Action 16 repeats. Then, Bob and Fred swap books. Then, Gertrude and Fred swap books (let's call it Action 45). Then, Gertrude and Fred discuss something (let's call it Action 46). Then, Gertrude and Fred swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something (let's call it Action 47). Then, Dave and Alice swap books. Then, Action 2 repeats. Then, Bob and Gertrude swap books (let's call it Action 48). Then, Gertrude and Bob swap books (let's call it Action 49). Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Action 13 repeats. Then, Eve and Alice swap books. Then, Alice and Dave swap books. Then, Action 29 repeats. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Action 28 repeats. Then, Action 3 repeats. Then, Dave and Bob swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something (let's call it Action 50). Then, Claire and Eve swap books. Then, Eve and Dave swap books (let's call it Action 51). Then, Dave and Eve swap books (let's call it Action 52). Then, Action 15 repeats. Then, Alice and Fred discuss something (let's call it Action 53). Then, Alice and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve swap books (let's call it Action 54). Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Bob swap books (let's call it Action 55). Then, Action 38 repeats. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something (let's call it Action 56). Then, Fred and Dave swap books. Then, Fred and Eve swap books. Then, Fred and Eve discuss something (let's call it Action 57). Then, Fred and Eve swap books. Then, Alice and Fred swap books. Then, Action 53 repeats. Then, Action 15 repeats. Then, Action 7 repeats. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 1 repeats. Then, Action 45 repeats. Then, Fred and Gertrude swap books. Then, Alice and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Action 32 repeats. Then, Claire and Gertrude swap books. Then, Action 38 repeats. Then, Fred and Claire discuss something (let's call it Action 58). Then, Fred and Claire swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Action 32 repeats. Then, Fred and Bob swap books. Then, Fred and Bob discuss something (let's call it Action 59). Then, Fred and Bob swap books. Then, Claire and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something (let's call it Action 60). Then, Alice and Gertrude swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something (let's call it Action 61). Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Claire swap books. Then, Action 2 repeats. Then, Action 3 repeats. Then, nothing happens for a while. Then, Action 32 repeats. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, Action 54 repeats. Then, Action 55 repeats. Then, Eve and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Claire and Alice swap books. Then, Action 13 repeats. Then, Eve and Alice swap books. Then, Action 18 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something (let's call it Action 62). Then, Action 23 repeats. Then, Action 1 repeats. Then, Bob and Alice swap books. Then, Action 36 repeats. Then, Bob and Alice swap books. Then, Action 2 repeats. Then, Action 25 repeats. Then, Action 2 repeats. Then, Fred and Alice swap books. Then, Fred and Alice discuss something (let's call it Action 63). Then, Fred and Alice swap books. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Claire and Eve swap books. Then, Action 51 repeats. Then, Dave and Eve swap books. Then, Eve and Claire swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Action 1 repeats. Then, Action 26 repeats. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Alice swap books. Then, Action 63 repeats. Then, Fred and Alice swap books. Then, Eve and Gertrude swap books. Then, Action 23 repeats. Then, Action 51 repeats. Then, Dave and Eve swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Action 23 repeats. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Action 24 repeats. Then, Bob and Alice swap books. Then, Action 15 repeats. Then, Fred and Alice swap books. Then, Alice and Bob swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Action 12 repeats. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something (let's call it Action 64). Then, Gertrude and Alice swap books. Then, Action 1 repeats. Then, Fred and Alice swap books. Then, Action 63 repeats. Then, Action 16 repeats. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Action 39 repeats. Then, Claire and Alice discuss something (let's call it Action 65). Then, Action 39 repeats. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Action 27 repeats. Then, Eve and Fred discuss something (let's call it Action 66). Then, Eve and Fred swap books. Then, Action 49 repeats. Then, Gertrude and Bob discuss something (let's call it Action 67). Then, Gertrude and Bob swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Action 11 repeats. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Bob and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Action 51 repeats. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books. Then, Action 1 repeats. Then, Fred and Alice swap books. Then, Action 63 repeats. Then, Fred and Alice swap books. Then, Action 22 repeats. Then, Alice and Fred swap books. Finally, Dave and Bob swap books. At the end of the semester, Claire has\nOptions:\n(A) Lolita\n(B) Moby Dick\n(C) Hound of the Baskervilles\n(D) Catch-22\n(E) The Fellowship of the Ring\n(F) The Pearl\n(G) Frankenstein", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:063", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Lola, Bob is dancing with Ophelia, Claire is dancing with Sam, Dave is dancing with Helga, Eve is dancing with Patrick, Fred is dancing with Jamie, and Gertrude is dancing with Rodrigo.\nThroughout the song, the dancers often trade partners. First, Fred and Bob switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Eve and Alice switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Dave and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Alice switch partners. Then, Claire and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Fred and Bob discuss something. Then, Fred and Bob switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Claire and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Dave switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Dave switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Eve switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, Fred and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Fred switch partners. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Bob and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Alice and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Alice switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Dave and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Fred and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Eve switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Claire and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Dave switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Finally, Dave and Fred switch partners. At the end of the dance, Dave is dancing with\nOptions:\n(A) Lola\n(B) Ophelia\n(C) Sam\n(D) Helga\n(E) Patrick\n(F) Jamie\n(G) Rodrigo", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:064", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Pearl, Bob gets Ulysses, Claire gets Moby Dick, Dave gets Frankenstein, Eve gets Hound of the Baskervilles, Fred gets Catch-22, and Gertrude gets The Odyssey.\nAs the semester proceeds, they start trading around the new books. First, Gertrude and Fred swap books. Then, Alice and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Alice swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Gertrude and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Gertrude and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Dave swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Alice swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, Fred and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Fred swap books. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Alice and Eve swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Fred and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Fred and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Fred swap books. Then, Eve and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Eve swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, nothing happens for a while. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, Claire and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Claire swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Dave and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap books. Then, Claire and Bob swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Dave and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Eve and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, Fred and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Fred swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Gertrude swap books. Then, Dave and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Dave swap books. Then, Bob and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Bob swap books. Then, Fred and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Fred swap books. Then, Dave and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Claire swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Dave and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Dave swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap books. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Bob and Dave swap books. Finally, Gertrude and Eve swap books. At the end of the semester, Alice has\nOptions:\n(A) The Pearl\n(B) Ulysses\n(C) Moby Dick\n(D) Frankenstein\n(E) Hound of the Baskervilles\n(F) Catch-22\n(G) The Odyssey", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:067", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Izzi, Bob is dancing with Jamie, Claire is dancing with Ophelia, Dave is dancing with Rodrigo, Eve is dancing with Patrick, Fred is dancing with Sam, and Gertrude is dancing with Lola.\nThroughout the song, the dancers often trade partners. First, Eve and Claire switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Fred and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Fred switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Dave switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Fred and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Dave switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Claire and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Claire and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Claire switch partners. Then, Fred and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Fred switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Fred switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Eve and Alice switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Claire switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Fred switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Dave and Bob switch partners. Then, Dave and Eve switch partners. Finally, Alice and Dave switch partners. At the end of the dance, Bob is dancing with\nOptions:\n(A) Izzi\n(B) Jamie\n(C) Ophelia\n(D) Rodrigo\n(E) Patrick\n(F) Sam\n(G) Lola", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:072", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Ophelia, Bob is dancing with Patrick, Claire is dancing with Karl, Dave is dancing with Rodrigo, Eve is dancing with Izzi, Fred is dancing with Helga, and Gertrude is dancing with Jamie.\nThroughout the song, the dancers often trade partners. First, Claire and Eve switch partners. Then, Bob and Gertrude switch partners (let's call it Action 1). Then, Bob and Gertrude discuss something (let's call it Action 2). Then, Bob and Gertrude switch partners. Then, nothing happens for a while (let's call it Action 3). Then, Bob and Fred switch partners (let's call it Action 4). Then, Bob and Fred discuss something (let's call it Action 5). Then, Bob and Fred switch partners. Then, Dave and Fred switch partners (let's call it Action 6). Then, Fred and Alice switch partners (let's call it Action 7). Then, Alice and Fred switch partners (let's call it Action 8). Then, Fred and Dave switch partners (let's call it Action 9). Then, Gertrude and Fred switch partners (let's call it Action 10). Then, Fred and Claire switch partners (let's call it Action 11). Then, Claire and Fred switch partners (let's call it Action 12). Then, Fred and Gertrude switch partners (let's call it Action 13). Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners (let's call it Action 14). Then, Alice and Gertrude switch partners (let's call it Action 15). Then, Gertrude and Fred switch partners. Then, Claire and Bob switch partners (let's call it Action 16). Then, Bob and Claire switch partners (let's call it Action 17). Then, Dave and Fred switch partners. Then, Fred and Eve switch partners (let's call it Action 18). Then, Eve and Fred switch partners (let's call it Action 19). Then, Action 9 repeats. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners (let's call it Action 20). Then, Bob and Alice switch partners (let's call it Action 21). Then, Alice and Gertrude switch partners. Then, Dave and Eve switch partners (let's call it Action 22). Then, Eve and Bob switch partners (let's call it Action 23). Then, Bob and Eve switch partners (let's call it Action 24). Then, Eve and Dave switch partners (let's call it Action 25). Then, Alice and Fred switch partners. Then, Alice and Fred discuss something (let's call it Action 26). Then, Action 8 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 7 repeats. Then, Action 8 repeats. Then, Alice and Dave switch partners (let's call it Action 27). Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners (let's call it Action 28). Then, nothing happens for a while. Then, Action 1 repeats. Then, Gertrude and Bob switch partners (let's call it Action 29). Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Action 18 repeats. Then, Action 19 repeats. Then, Bob and Alice switch partners. Then, Action 20 repeats. Then, Bob and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Bob switch partners (let's call it Action 30). Then, Action 6 repeats. Then, Action 9 repeats. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Action 3 repeats. Then, Claire and Eve switch partners (let's call it Action 31). Then, Claire and Eve discuss something (let's call it Action 32). Then, Action 31 repeats. Then, Eve and Gertrude switch partners (let's call it Action 33). Then, Gertrude and Eve switch partners (let's call it Action 34). Then, Dave and Eve switch partners. Then, Action 25 repeats. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something (let's call it Action 35). Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners (let's call it Action 36). Then, Claire and Dave discuss something (let's call it Action 37). Then, Claire and Dave switch partners. Then, Claire and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Claire switch partners (let's call it Action 38). Then, Action 30 repeats. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Action 4 repeats. Then, Alice and Claire switch partners (let's call it Action 39). Then, Claire and Gertrude switch partners (let's call it Action 40). Then, Gertrude and Claire switch partners (let's call it Action 41). Then, Claire and Alice switch partners (let's call it Action 42). Then, Action 3 repeats. Then, nothing happens for a while. Then, Dave and Claire switch partners (let's call it Action 43). Then, Dave and Claire discuss something (let's call it Action 44). Then, Dave and Claire switch partners. Then, Action 8 repeats. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners (let's call it Action 45). Then, Dave and Bob discuss something (let's call it Action 46). Then, Action 45 repeats. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners (let's call it Action 47). Then, Action 42 repeats. Then, Claire and Alice discuss something (let's call it Action 48). Then, Claire and Alice switch partners. Then, Eve and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Eve switch partners. Then, Action 43 repeats. Then, Claire and Bob switch partners. Then, Action 17 repeats. Then, Action 36 repeats. Then, Action 16 repeats. Then, Action 1 repeats. Then, Gertrude and Bob switch partners. Then, Bob and Claire switch partners. Then, Action 24 repeats. Then, Action 23 repeats. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something (let's call it Action 49). Then, Action 12 repeats. Then, Action 8 repeats. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Action 14 repeats. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something (let's call it Action 50). Then, Eve and Fred switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something (let's call it Action 51). Then, Eve and Gertrude switch partners. Then, Dave and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Dave switch partners. Then, Action 13 repeats. Then, Fred and Gertrude discuss something (let's call it Action 52). Then, Fred and Gertrude switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 5 repeats. Then, Action 4 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude switch partners. Then, Bob and Claire switch partners. Then, Action 36 repeats. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Action 10 repeats. Then, Fred and Gertrude switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Action 38 repeats. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something (let's call it Action 53). Then, Eve and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Action 1 repeats. Then, Fred and Alice switch partners. Then, Action 20 repeats. Then, Bob and Alice switch partners. Then, Alice and Fred switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Alice and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Alice switch partners. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Dave switch partners (let's call it Action 54). Then, Dave and Gertrude switch partners (let's call it Action 55). Then, Action 10 repeats. Then, Action 14 repeats. Then, Gertrude and Alice discuss something (let's call it Action 56). Then, Action 14 repeats. Then, nothing happens for a while. Then, Action 3 repeats. Then, nothing happens for a while. Then, Action 41 repeats. Then, Gertrude and Claire discuss something (let's call it Action 57). Then, Gertrude and Claire switch partners. Then, Action 30 repeats. Then, Fred and Bob discuss something (let's call it Action 58). Then, Action 30 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 20 repeats. Then, Bob and Alice switch partners. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, Action 3 repeats. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Action 4 repeats. Then, nothing happens for a while. Then, Action 1 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something (let's call it Action 59). Then, Alice and Claire switch partners. Then, Action 28 repeats. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Action 21 repeats. Then, Alice and Gertrude switch partners. Then, Action 14 repeats. Then, Action 20 repeats. Then, Action 17 repeats. Then, Bob and Claire discuss something (let's call it Action 60). Then, Action 17 repeats. Then, Action 3 repeats. Then, Action 28 repeats. Then, Dave and Alice discuss something (let's call it Action 61). Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Action 3 repeats. Then, Action 3 repeats. Then, Eve and Dave switch partners. Then, Action 22 repeats. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 33 repeats. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Alice and Eve switch partners (let's call it Action 62). Then, Eve and Alice switch partners (let's call it Action 63). Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 28 repeats. Then, Action 27 repeats. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something (let's call it Action 64). Then, Claire and Gertrude switch partners. Then, Claire and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Claire switch partners. Then, Action 55 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Bob and Fred switch partners. Then, Action 30 repeats. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something (let's call it Action 65). Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Action 21 repeats. Then, Bob and Alice discuss something (let's call it Action 66). Then, Bob and Alice switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Action 22 repeats. Then, Dave and Eve discuss something (let's call it Action 67). Then, Dave and Eve switch partners. Then, Action 38 repeats. Then, Claire and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, Action 3 repeats. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Action 20 repeats. Then, Eve and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Eve switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something (let's call it Action 68). Then, Dave and Fred switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Action 29 repeats. Then, Fred and Claire switch partners. Then, Fred and Bob switch partners. Finally, Dave and Fred switch partners. At the end of the dance, Fred is dancing with\nOptions:\n(A) Ophelia\n(B) Patrick\n(C) Karl\n(D) Rodrigo\n(E) Izzi\n(F) Helga\n(G) Jamie", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:073", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a pink ball, Bob has a brown present, Claire has a red present, Dave has a blue present, Eve has a white present, Fred has a orange ball, and Gertrude has a black ball.\nAs the event progresses, pairs of people swap gifts. First, Alice and Dave swap their gifts. Then, Fred and Claire swap their gifts (let's call it Action 1). Then, Fred and Claire discuss something (let's call it Action 2). Then, Action 1 repeats. Then, Alice and Bob swap their gifts (let's call it Action 3). Then, Alice and Bob discuss something (let's call it Action 4). Then, Action 3 repeats. Then, Gertrude and Bob swap their gifts (let's call it Action 5). Then, Bob and Alice swap their gifts (let's call it Action 6). Then, Alice and Bob swap their gifts. Then, Bob and Gertrude swap their gifts (let's call it Action 7). Then, Bob and Claire swap their gifts (let's call it Action 8). Then, Bob and Claire discuss something (let's call it Action 9). Then, Bob and Claire swap their gifts. Then, nothing happens for a while (let's call it Action 10). Then, Claire and Dave swap their gifts (let's call it Action 11). Then, Dave and Fred swap their gifts (let's call it Action 12). Then, Fred and Dave swap their gifts (let's call it Action 13). Then, Dave and Claire swap their gifts (let's call it Action 14). Then, nothing happens for a while. Then, Eve and Claire swap their gifts (let's call it Action 15). Then, Claire and Gertrude swap their gifts (let's call it Action 16). Then, Gertrude and Claire swap their gifts (let's call it Action 17). Then, Claire and Eve swap their gifts (let's call it Action 18). Then, Fred and Alice swap their gifts (let's call it Action 19). Then, Alice and Fred swap their gifts (let's call it Action 20). Then, Eve and Fred swap their gifts (let's call it Action 21). Then, Fred and Eve swap their gifts (let's call it Action 22). Then, Dave and Bob swap their gifts (let's call it Action 23). Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Dave swap their gifts (let's call it Action 24). Then, Action 15 repeats. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Action 10 repeats. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts (let's call it Action 25). Then, Alice and Gertrude discuss something (let's call it Action 26). Then, Alice and Gertrude swap their gifts. Then, Claire and Alice swap their gifts (let's call it Action 27). Then, Alice and Claire swap their gifts (let's call it Action 28). Then, Action 10 repeats. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts (let's call it Action 29). Then, Eve and Bob swap their gifts (let's call it Action 30). Then, Bob and Fred swap their gifts (let's call it Action 31). Then, Fred and Bob swap their gifts (let's call it Action 32). Then, Bob and Eve swap their gifts (let's call it Action 33). Then, Claire and Gertrude swap their gifts. Then, Action 5 repeats. Then, Bob and Gertrude swap their gifts. Then, Action 17 repeats. Then, Action 16 repeats. Then, Action 17 repeats. Then, Alice and Dave swap their gifts (let's call it Action 34). Then, Dave and Eve swap their gifts (let's call it Action 35). Then, Eve and Dave swap their gifts (let's call it Action 36). Then, Dave and Alice swap their gifts (let's call it Action 37). Then, nothing happens for a while. Then, Fred and Bob swap their gifts. Then, Action 31 repeats. Then, Dave and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Action 5 repeats. Then, Action 24 repeats. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 30 repeats. Then, Gertrude and Fred swap their gifts (let's call it Action 38). Then, Fred and Dave swap their gifts. Then, Action 12 repeats. Then, Fred and Gertrude swap their gifts (let's call it Action 39). Then, Action 27 repeats. Then, Claire and Alice discuss something (let's call it Action 40). Then, Action 27 repeats. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something (let's call it Action 41). Then, Fred and Alice swap their gifts. Then, Eve and Alice swap their gifts (let's call it Action 42). Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Eve swap their gifts (let's call it Action 43). Then, Action 8 repeats. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, Gertrude and Dave swap their gifts (let's call it Action 44). Then, Gertrude and Dave discuss something (let's call it Action 45). Then, Gertrude and Dave swap their gifts. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, nothing happens for a while. Then, Action 10 repeats. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something (let's call it Action 46). Then, Fred and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something (let's call it Action 47). Then, Eve and Dave swap their gifts. Then, Gertrude and Eve swap their gifts (let's call it Action 48). Then, Gertrude and Eve discuss something (let's call it Action 49). Then, Action 48 repeats. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something (let's call it Action 50). Then, Alice and Claire swap their gifts. Then, Action 33 repeats. Then, Bob and Eve discuss something (let's call it Action 51). Then, Action 33 repeats. Then, Action 10 repeats. Then, Fred and Claire swap their gifts. Then, Claire and Bob swap their gifts (let's call it Action 52). Then, Action 8 repeats. Then, Claire and Fred swap their gifts (let's call it Action 53). Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Eve and Gertrude swap their gifts (let's call it Action 54). Then, Gertrude and Eve swap their gifts. Then, Action 10 repeats. Then, Claire and Dave swap their gifts. Then, Action 12 repeats. Then, Fred and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Action 11 repeats. Then, Dave and Eve swap their gifts. Then, Action 5 repeats. Then, Bob and Alice swap their gifts. Then, Action 3 repeats. Then, Action 7 repeats. Then, Action 7 repeats. Then, Bob and Gertrude discuss something (let's call it Action 55). Then, Action 7 repeats. Then, Dave and Alice swap their gifts. Then, Action 28 repeats. Then, Claire and Alice swap their gifts. Then, Action 34 repeats. Then, Eve and Dave swap their gifts. Then, Action 35 repeats. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Action 20 repeats. Then, Fred and Alice swap their gifts. Then, Action 19 repeats. Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something (let's call it Action 56). Then, Action 35 repeats. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something (let's call it Action 57). Then, Bob and Alice swap their gifts. Then, Action 21 repeats. Then, Action 13 repeats. Then, Action 12 repeats. Then, Fred and Eve swap their gifts. Then, Action 13 repeats. Then, Dave and Gertrude swap their gifts (let's call it Action 58). Then, Gertrude and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Action 1 repeats. Then, Fred and Claire discuss something. Then, Fred and Claire swap their gifts. Then, Action 21 repeats. Then, Action 19 repeats. Then, Action 20 repeats. Then, Fred and Eve swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Action 45 repeats. Then, Gertrude and Dave swap their gifts. Then, Action 38 repeats. Then, Gertrude and Fred discuss something (let's call it Action 59). Then, Action 38 repeats. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, nothing happens for a while. Then, Action 10 repeats. Then, Action 31 repeats. Then, Fred and Alice swap their gifts. Then, Action 20 repeats. Then, Fred and Bob swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Dave and Claire swap their gifts. Then, Dave and Claire discuss something (let's call it Action 60). Then, Action 14 repeats. Then, Claire and Eve swap their gifts. Then, Action 15 repeats. Then, Bob and Claire swap their gifts. Then, Action 27 repeats. Then, Alice and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Action 30 repeats. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire swap their gifts. Then, Action 50 repeats. Then, Action 28 repeats. Then, Action 23 repeats. Then, Bob and Dave swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something (let's call it Action 61). Then, Eve and Bob swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something (let's call it Action 62). Then, Action 37 repeats. Then, Action 54 repeats. Then, Eve and Gertrude discuss something (let's call it Action 63). Then, Eve and Gertrude swap their gifts. Then, Action 43 repeats. Then, Alice and Eve discuss something (let's call it Action 64). Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Action 10 repeats. Then, Action 10 repeats. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something (let's call it Action 65). Then, Fred and Gertrude swap their gifts. Then, Action 34 repeats. Then, Alice and Dave discuss something (let's call it Action 66). Then, Alice and Dave swap their gifts. Then, Action 10 repeats. Then, Action 7 repeats. Then, Bob and Gertrude discuss something. Then, Action 7 repeats. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something (let's call it Action 67). Then, Action 24 repeats. Then, Fred and Gertrude swap their gifts. Then, Action 65 repeats. Then, Action 39 repeats. Then, Bob and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Action 59 repeats. Then, Gertrude and Fred swap their gifts. Then, Action 3 repeats. Then, Alice and Bob discuss something. Then, Alice and Bob swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Action 10 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve swap their gifts. Then, Action 46 repeats. Then, Fred and Eve swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Action 16 repeats. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Action 16 repeats. Then, Gertrude and Claire swap their gifts. Then, Eve and Alice swap their gifts. Then, Dave and Bob swap their gifts. Finally, Gertrude and Dave swap their gifts. At the end of the event, Bob has the\nOptions:\n(A) pink ball\n(B) brown present\n(C) red present\n(D) blue present\n(E) white present\n(F) orange ball\n(G) black ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:077", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a red present, Bob has a purple present, Claire has a white present, Dave has a brown present, Eve has a green present, Fred has a blue present, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Dave and Bob swap their gifts. Then, nothing happens for a while (let's call it Action 1). Then, Bob and Eve swap their gifts (let's call it Action 2). Then, Eve and Alice swap their gifts (let's call it Action 3). Then, Alice and Eve swap their gifts (let's call it Action 4). Then, Eve and Bob swap their gifts (let's call it Action 5). Then, Gertrude and Fred swap their gifts (let's call it Action 6). Then, Fred and Gertrude swap their gifts (let's call it Action 7). Then, Fred and Eve swap their gifts (let's call it Action 8). Then, Eve and Dave swap their gifts (let's call it Action 9). Then, Dave and Eve swap their gifts (let's call it Action 10). Then, Eve and Fred swap their gifts (let's call it Action 11). Then, Dave and Bob swap their gifts (let's call it Action 12). Then, Action 2 repeats. Then, Action 5 repeats. Then, Bob and Dave swap their gifts (let's call it Action 13). Then, Bob and Claire swap their gifts (let's call it Action 14). Then, Bob and Claire discuss something (let's call it Action 15). Then, Bob and Claire swap their gifts. Then, Claire and Alice swap their gifts (let's call it Action 16). Then, Claire and Alice discuss something (let's call it Action 17). Then, Claire and Alice swap their gifts. Then, Dave and Claire swap their gifts (let's call it Action 18). Then, Dave and Claire discuss something (let's call it Action 19). Then, Dave and Claire swap their gifts. Then, Alice and Fred swap their gifts (let's call it Action 20). Then, Fred and Alice swap their gifts (let's call it Action 21). Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something (let's call it Action 22). Then, Dave and Eve swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Gertrude swap their gifts (let's call it Action 23). Then, Gertrude and Eve swap their gifts (let's call it Action 24). Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, Action 18 repeats. Then, Dave and Claire discuss something. Then, Action 18 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave swap their gifts. Then, Dave and Gertrude swap their gifts (let's call it Action 25). Then, Gertrude and Dave swap their gifts (let's call it Action 26). Then, Dave and Bob swap their gifts. Then, Dave and Fred swap their gifts (let's call it Action 27). Then, Fred and Dave swap their gifts (let's call it Action 28). Then, Eve and Fred swap their gifts. Then, Action 8 repeats. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something (let's call it Action 29). Then, Action 25 repeats. Then, nothing happens for a while. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Action 29 repeats. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something (let's call it Action 30). Then, Gertrude and Eve swap their gifts. Then, Eve and Claire swap their gifts (let's call it Action 31). Then, Claire and Eve swap their gifts (let's call it Action 32). Then, Gertrude and Alice swap their gifts (let's call it Action 33). Then, Alice and Gertrude swap their gifts (let's call it Action 34). Then, Eve and Claire swap their gifts. Then, Claire and Dave swap their gifts (let's call it Action 35). Then, Action 18 repeats. Then, Claire and Eve swap their gifts. Then, Action 1 repeats. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts (let's call it Action 36). Then, Action 10 repeats. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Alice and Dave swap their gifts (let's call it Action 37). Then, Action 12 repeats. Then, Bob and Dave swap their gifts. Then, Dave and Alice swap their gifts (let's call it Action 38). Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Eve and Gertrude discuss something (let's call it Action 39). Then, Eve and Gertrude swap their gifts. Then, Fred and Dave swap their gifts. Then, Action 10 repeats. Then, Eve and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Alice and Bob swap their gifts (let's call it Action 40). Then, Dave and Claire swap their gifts. Then, Action 35 repeats. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something (let's call it Action 41). Then, Dave and Fred swap their gifts. Then, nothing happens for a while. Then, Action 31 repeats. Then, Eve and Claire discuss something (let's call it Action 42). Then, Action 31 repeats. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Action 7 repeats. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Action 28 repeats. Then, Dave and Claire swap their gifts. Then, nothing happens for a while. Then, Action 40 repeats. Then, Bob and Alice swap their gifts (let's call it Action 43). Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Action 1 repeats. Then, Alice and Fred swap their gifts. Then, Fred and Claire swap their gifts (let's call it Action 44). Then, Claire and Fred swap their gifts (let's call it Action 45). Then, Fred and Alice swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Bob and Gertrude swap their gifts (let's call it Action 46). Then, Bob and Gertrude discuss something (let's call it Action 47). Then, Action 46 repeats. Then, Action 43 repeats. Then, Bob and Alice discuss something (let's call it Action 48). Then, Bob and Alice swap their gifts. Then, Bob and Fred swap their gifts (let's call it Action 49). Then, Fred and Bob swap their gifts (let's call it Action 50). Then, nothing happens for a while. Then, Action 38 repeats. Then, Dave and Alice discuss something (let's call it Action 51). Then, Action 38 repeats. Then, Gertrude and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Action 13 repeats. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Action 35 repeats. Then, Action 18 repeats. Then, Action 36 repeats. Then, Bob and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Action 35 repeats. Then, Claire and Dave discuss something (let's call it Action 52). Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts (let's call it Action 53). Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Gertrude swap their gifts (let's call it Action 54). Then, Action 33 repeats. Then, nothing happens for a while. Then, Gertrude and Bob swap their gifts (let's call it Action 55). Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Action 46 repeats. Then, Action 20 repeats. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Action 1 repeats. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Action 9 repeats. Then, Action 14 repeats. Then, Action 36 repeats. Then, Action 1 repeats. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something (let's call it Action 56). Then, Claire and Eve swap their gifts. Then, Action 25 repeats. Then, Gertrude and Dave swap their gifts. Then, Action 1 repeats. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something (let's call it Action 57). Then, Action 8 repeats. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something (let's call it Action 58). Then, Fred and Bob swap their gifts. Then, Action 24 repeats. Then, Action 23 repeats. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, nothing happens for a while. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Action 6 repeats. Then, Fred and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Action 1 repeats. Then, Action 33 repeats. Then, Gertrude and Alice discuss something (let's call it Action 59). Then, Gertrude and Alice swap their gifts. Then, Action 32 repeats. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Alice and Fred swap their gifts. Then, Alice and Fred discuss something (let's call it Action 60). Then, Alice and Fred swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something (let's call it Action 61). Then, Bob and Dave swap their gifts. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Action 9 repeats. Then, Eve and Dave discuss something (let's call it Action 62). Then, Eve and Dave swap their gifts. Then, Alice and Claire swap their gifts (let's call it Action 63). Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Action 16 repeats. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Action 35 repeats. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Action 12 repeats. Then, Bob and Alice swap their gifts. Then, Action 34 repeats. Then, Gertrude and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Action 50 repeats. Then, Bob and Alice swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Action 27 repeats. Then, Gertrude and Fred swap their gifts. Then, Action 28 repeats. Then, Action 27 repeats. Then, Fred and Gertrude swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something (let's call it Action 64). Then, Action 12 repeats. Then, Bob and Dave swap their gifts. Then, Fred and Alice swap their gifts. Finally, Fred and Eve swap their gifts. At the end of the event, Eve has the\nOptions:\n(A) red present\n(B) purple present\n(C) white present\n(D) brown present\n(E) green present\n(F) blue present\n(G) yellow present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:080", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Jamie, Bob is dancing with Ophelia, Claire is dancing with Lola, Dave is dancing with Patrick, Eve is dancing with Rodrigo, Fred is dancing with Melissa, and Gertrude is dancing with Karl.\nThroughout the song, the dancers often trade partners. First, Eve and Dave switch partners. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Dave and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Dave switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners. Then, Fred and Eve switch partners. Then, Bob and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Eve and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Claire and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Dave and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Fred switch partners. Then, Claire and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Claire and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, Dave and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Dave and Bob switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Claire and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Claire switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Alice and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Alice and Claire switch partners. Then, Alice and Gertrude switch partners. Finally, Bob and Claire switch partners. At the end of the dance, Gertrude is dancing with\nOptions:\n(A) Jamie\n(B) Ophelia\n(C) Lola\n(D) Patrick\n(E) Rodrigo\n(F) Melissa\n(G) Karl", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:082", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a green ball, Bob has a purple ball, Claire has a blue ball, Dave has a black ball, Eve has a orange ball, Fred has a white ball, and Gertrude has a yellow ball.\nAs the game progresses, pairs of players trade balls. First, Eve and Claire swap balls. Then, Bob and Alice swap balls (let's call it Action 1). Then, Alice and Bob swap balls (let's call it Action 2). Then, nothing happens for a while (let's call it Action 3). Then, Alice and Fred swap balls (let's call it Action 4). Then, Fred and Claire swap balls (let's call it Action 5). Then, Claire and Fred swap balls (let's call it Action 6). Then, Fred and Alice swap balls (let's call it Action 7). Then, Claire and Eve swap balls (let's call it Action 8). Then, Eve and Claire swap balls (let's call it Action 9). Then, Alice and Claire swap balls (let's call it Action 10). Then, Claire and Alice swap balls (let's call it Action 11). Then, Alice and Gertrude swap balls (let's call it Action 12). Then, Alice and Gertrude discuss something (let's call it Action 13). Then, Alice and Gertrude swap balls. Then, Bob and Eve swap balls (let's call it Action 14). Then, Bob and Eve discuss something (let's call it Action 15). Then, Bob and Eve swap balls. Then, Action 7 repeats. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Action 3 repeats. Then, Action 3 repeats. Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls (let's call it Action 16). Then, Gertrude and Claire swap balls (let's call it Action 17). Then, Action 8 repeats. Then, Gertrude and Alice swap balls (let's call it Action 18). Then, Alice and Eve swap balls (let's call it Action 19). Then, Eve and Alice swap balls (let's call it Action 20). Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve swap balls (let's call it Action 21). Then, Fred and Eve discuss something (let's call it Action 22). Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Action 3 repeats. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Action 21 repeats. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Dave and Gertrude swap balls (let's call it Action 23). Then, Gertrude and Dave swap balls (let's call it Action 24). Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something (let's call it Action 25). Then, Bob and Alice swap balls. Then, Action 2 repeats. Then, Fred and Gertrude swap balls (let's call it Action 26). Then, Gertrude and Bob swap balls (let's call it Action 27). Then, Bob and Gertrude swap balls (let's call it Action 28). Then, Gertrude and Fred swap balls (let's call it Action 29). Then, Fred and Eve swap balls. Then, Eve and Bob swap balls (let's call it Action 30). Then, Bob and Eve swap balls. Then, Eve and Fred swap balls (let's call it Action 31). Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls (let's call it Action 32). Then, Bob and Claire swap balls (let's call it Action 33). Then, nothing happens for a while. Then, Action 3 repeats. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something (let's call it Action 34). Then, Claire and Eve swap balls. Then, Action 1 repeats. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Action 3 repeats. Then, Action 3 repeats. Then, nothing happens for a while. Then, Action 28 repeats. Then, Bob and Gertrude discuss something (let's call it Action 35). Then, Action 28 repeats. Then, Eve and Dave swap balls (let's call it Action 36). Then, Dave and Eve swap balls (let's call it Action 37). Then, nothing happens for a while. Then, Action 5 repeats. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Bob and Eve swap balls. Then, Action 31 repeats. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something (let's call it Action 38). Then, Claire and Fred swap balls. Then, Action 3 repeats. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Fred swap balls. Then, Action 31 repeats. Then, Action 26 repeats. Then, Gertrude and Fred swap balls. Then, Fred and Eve swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls (let's call it Action 39). Then, Dave and Fred swap balls (let's call it Action 40). Then, Fred and Claire swap balls. Then, Action 11 repeats. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls (let's call it Action 41). Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Dave swap balls (let's call it Action 42). Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Bob and Eve swap balls. Then, Action 15 repeats. Then, Bob and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 8 repeats. Then, Eve and Gertrude swap balls (let's call it Action 43). Then, Gertrude and Eve swap balls (let's call it Action 44). Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something (let's call it Action 45). Then, Action 16 repeats. Then, Bob and Dave swap balls (let's call it Action 46). Then, Action 23 repeats. Then, Action 24 repeats. Then, Dave and Bob swap balls (let's call it Action 47). Then, Eve and Dave swap balls. Then, Eve and Dave discuss something (let's call it Action 48). Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Action 46 repeats. Then, Bob and Dave discuss something (let's call it Action 49). Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Action 30 repeats. Then, Bob and Gertrude swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, Action 16 repeats. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something (let's call it Action 50). Then, Eve and Gertrude swap balls. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls (let's call it Action 51). Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Bob swap balls (let's call it Action 52). Then, Action 10 repeats. Then, Alice and Claire discuss something (let's call it Action 53). Then, Action 10 repeats. Then, nothing happens for a while. Then, Action 3 repeats. Then, Eve and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Action 44 repeats. Then, Action 41 repeats. Then, Alice and Dave swap balls. Then, Action 40 repeats. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Action 3 repeats. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Action 3 repeats. Then, Action 14 repeats. Then, Action 15 repeats. Then, Bob and Eve swap balls. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Action 9 repeats. Then, Action 32 repeats. Then, Action 52 repeats. Then, Bob and Fred swap balls. Then, Action 43 repeats. Then, Action 44 repeats. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Action 32 repeats. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something (let's call it Action 54). Then, Dave and Fred swap balls. Then, Action 3 repeats. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls (let's call it Action 55). Then, Action 32 repeats. Then, Action 33 repeats. Then, Claire and Dave swap balls (let's call it Action 56). Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something (let's call it Action 57). Then, Eve and Bob swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Action 23 repeats. Then, Dave and Gertrude discuss something (let's call it Action 58). Then, Dave and Gertrude swap balls. Then, Action 7 repeats. Then, Alice and Claire swap balls. Then, Action 11 repeats. Then, Alice and Fred swap balls. Then, Eve and Dave swap balls. Then, Action 37 repeats. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something (let's call it Action 59). Then, Alice and Bob swap balls. Then, Action 30 repeats. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Action 20 repeats. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something (let's call it Action 60). Then, Fred and Dave swap balls. Then, Action 3 repeats. Then, Action 44 repeats. Then, Eve and Gertrude swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something (let's call it Action 61). Then, Fred and Bob swap balls. Then, Eve and Dave swap balls. Then, Action 37 repeats. Then, Action 23 repeats. Then, Gertrude and Bob swap balls. Then, Action 28 repeats. Then, Gertrude and Dave swap balls. Then, Bob and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Action 17 repeats. Then, Action 32 repeats. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something (let's call it Action 62). Then, Claire and Alice swap balls. Then, nothing happens for a while. Then, Action 32 repeats. Then, Claire and Bob discuss something (let's call it Action 63). Then, Claire and Bob swap balls. Then, Action 41 repeats. Then, Dave and Alice discuss something (let's call it Action 64). Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something (let's call it Action 65). Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Fred and Bob swap balls. Finally, Gertrude and Alice swap balls. At the end of the game, Alice has the\nOptions:\n(A) green ball\n(B) purple ball\n(C) blue ball\n(D) black ball\n(E) orange ball\n(F) white ball\n(G) yellow ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:086", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a green ball, Bob has a brown ball, Claire has a orange ball, Dave has a red ball, Eve has a blue ball, Fred has a black ball, and Gertrude has a yellow ball.\nAs the game progresses, pairs of players trade balls. First, Eve and Dave swap balls. Then, nothing happens for a while (let's call it Action 1). Then, Alice and Dave swap balls (let's call it Action 2). Then, Alice and Dave discuss something (let's call it Action 3). Then, Alice and Dave swap balls. Then, Claire and Gertrude swap balls (let's call it Action 4). Then, Gertrude and Claire swap balls (let's call it Action 5). Then, Action 1 repeats. Then, Eve and Fred swap balls (let's call it Action 6). Then, Fred and Alice swap balls (let's call it Action 7). Then, Alice and Fred swap balls (let's call it Action 8). Then, Fred and Eve swap balls (let's call it Action 9). Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls (let's call it Action 10). Then, Eve and Claire swap balls (let's call it Action 11). Then, Claire and Gertrude swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls (let's call it Action 12). Then, Claire and Fred swap balls (let's call it Action 13). Then, Fred and Claire swap balls (let's call it Action 14). Then, Gertrude and Bob swap balls (let's call it Action 15). Then, Bob and Alice swap balls (let's call it Action 16). Then, Alice and Bob swap balls (let's call it Action 17). Then, Bob and Gertrude swap balls (let's call it Action 18). Then, Eve and Bob swap balls (let's call it Action 19). Then, Eve and Bob discuss something (let's call it Action 20). Then, Action 19 repeats. Then, Alice and Eve swap balls (let's call it Action 21). Then, Alice and Eve discuss something (let's call it Action 22). Then, Alice and Eve swap balls. Then, Claire and Bob swap balls (let's call it Action 23). Then, Claire and Bob discuss something (let's call it Action 24). Then, Claire and Bob swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something (let's call it Action 25). Then, Claire and Eve swap balls. Then, Dave and Claire swap balls (let's call it Action 26). Then, Dave and Claire discuss something (let's call it Action 27). Then, Dave and Claire swap balls. Then, Fred and Gertrude swap balls (let's call it Action 28). Then, Fred and Gertrude discuss something (let's call it Action 29). Then, Fred and Gertrude swap balls. Then, Alice and Gertrude swap balls (let's call it Action 30). Then, Alice and Gertrude discuss something (let's call it Action 31). Then, Alice and Gertrude swap balls. Then, Action 19 repeats. Then, Bob and Eve swap balls (let's call it Action 32). Then, Action 1 repeats. Then, Alice and Fred swap balls. Then, Action 7 repeats. Then, Action 30 repeats. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls (let's call it Action 33). Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something (let's call it Action 34). Then, Claire and Fred swap balls. Then, Action 1 repeats. Then, nothing happens for a while. Then, Alice and Claire swap balls (let's call it Action 35). Then, Alice and Claire discuss something (let's call it Action 36). Then, Action 35 repeats. Then, Eve and Dave swap balls (let's call it Action 37). Then, Eve and Dave discuss something (let's call it Action 38). Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something (let's call it Action 39). Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Bob and Dave swap balls (let's call it Action 40). Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Bob swap balls (let's call it Action 41). Then, Action 1 repeats. Then, Action 1 repeats. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something (let's call it Action 42). Then, Alice and Fred swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something (let's call it Action 43). Then, Alice and Bob swap balls. Then, Fred and Bob swap balls (let's call it Action 44). Then, Bob and Fred swap balls (let's call it Action 45). Then, Dave and Fred swap balls (let's call it Action 46). Then, Dave and Fred discuss something (let's call it Action 47). Then, Dave and Fred swap balls. Then, Alice and Bob swap balls. Then, Bob and Claire swap balls (let's call it Action 48). Then, Claire and Bob swap balls. Then, Action 16 repeats. Then, Bob and Fred swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls (let's call it Action 49). Then, Action 28 repeats. Then, Action 5 repeats. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls (let's call it Action 50). Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something (let's call it Action 51). Then, Fred and Dave swap balls. Then, Alice and Claire swap balls. Then, Action 36 repeats. Then, Alice and Claire swap balls. Then, Action 1 repeats. Then, Dave and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Dave swap balls (let's call it Action 52). Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Gertrude swap balls (let's call it Action 53). Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, Eve and Bob swap balls. Then, Action 45 repeats. Then, Fred and Bob swap balls. Then, Bob and Eve swap balls. Then, Action 19 repeats. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Gertrude and Alice swap balls (let's call it Action 54). Then, Alice and Gertrude swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Action 32 repeats. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Action 19 repeats. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Bob and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls (let's call it Action 55). Then, Eve and Bob swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Action 21 repeats. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Action 1 repeats. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something (let's call it Action 56). Then, Gertrude and Fred swap balls. Then, Action 13 repeats. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Action 48 repeats. Then, Eve and Alice swap balls (let's call it Action 57). Then, Alice and Eve swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Action 23 repeats. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something (let's call it Action 58). Then, Fred and Eve swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls (let's call it Action 59). Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Eve and Dave swap balls. Then, Action 38 repeats. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, Action 26 repeats. Then, Claire and Dave swap balls. Then, Eve and Fred swap balls. Then, Action 9 repeats. Then, Eve and Gertrude swap balls. Then, Action 15 repeats. Then, Bob and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap balls (let's call it Action 60). Then, Gertrude and Dave swap balls (let's call it Action 61). Then, Claire and Fred swap balls. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Action 46 repeats. Then, Fred and Dave swap balls. Then, Action 30 repeats. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Action 8 repeats. Then, Fred and Alice swap balls. Then, Action 1 repeats. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something (let's call it Action 62). Then, Eve and Fred swap balls. Then, Action 1 repeats. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, Action 2 repeats. Then, Dave and Gertrude swap balls. Then, Action 32 repeats. Then, Bob and Eve discuss something (let's call it Action 63). Then, Bob and Eve swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something (let's call it Action 64). Then, Claire and Alice swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something (let's call it Action 65). Then, Action 15 repeats. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something (let's call it Action 66). Then, Gertrude and Alice swap balls. Then, Claire and Eve swap balls. Then, Action 11 repeats. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Action 49 repeats. Then, Action 28 repeats. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something (let's call it Action 67). Then, Bob and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Action 12 repeats. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Alice and Claire swap balls. Then, Eve and Fred swap balls. Finally, Eve and Dave swap balls. At the end of the game, Gertrude has the\nOptions:\n(A) green ball\n(B) brown ball\n(C) orange ball\n(D) red ball\n(E) blue ball\n(F) black ball\n(G) yellow ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:087", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left winger, Bob is playing cheerleader, Claire is playing fullback, Dave is playing right winger, Eve is playing striker, Fred is playing right midfielder, and Gertrude is playing center midfielder.\nAs the game progresses, pairs of players occasionally swap positions. First, Bob and Dave trade positions. Then, nothing happens for a while (let's call it Action 1). Then, Eve and Fred trade positions (let's call it Action 2). Then, Fred and Eve trade positions (let's call it Action 3). Then, Alice and Fred trade positions (let's call it Action 4). Then, Alice and Fred discuss something (let's call it Action 5). Then, Action 4 repeats. Then, Fred and Claire trade positions (let's call it Action 6). Then, Claire and Dave trade positions (let's call it Action 7). Then, Dave and Claire trade positions (let's call it Action 8). Then, Claire and Fred trade positions (let's call it Action 9). Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something (let's call it Action 10). Then, Action 8 repeats. Then, Action 1 repeats. Then, Alice and Eve trade positions (let's call it Action 11). Then, Alice and Eve discuss something (let's call it Action 12). Then, Alice and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve trade positions (let's call it Action 13). Then, Eve and Gertrude trade positions (let's call it Action 14). Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 15). Then, Claire and Fred trade positions. Then, Gertrude and Alice trade positions (let's call it Action 16). Then, Alice and Gertrude trade positions (let's call it Action 17). Then, Claire and Bob trade positions (let's call it Action 18). Then, Claire and Bob discuss something (let's call it Action 19). Then, Claire and Bob trade positions. Then, Fred and Gertrude trade positions (let's call it Action 20). Then, Gertrude and Fred trade positions (let's call it Action 21). Then, Gertrude and Dave trade positions (let's call it Action 22). Then, Dave and Gertrude trade positions (let's call it Action 23). Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 1 repeats. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions (let's call it Action 24). Then, Bob and Alice trade positions (let's call it Action 25). Then, Alice and Bob trade positions (let's call it Action 26). Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire trade positions (let's call it Action 27). Then, Eve and Fred trade positions. Then, Fred and Alice trade positions (let's call it Action 28). Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions (let's call it Action 29). Then, Bob and Dave trade positions (let's call it Action 30). Then, Dave and Bob trade positions (let's call it Action 31). Then, Action 24 repeats. Then, Eve and Alice discuss something (let's call it Action 32). Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions (let's call it Action 33). Then, Claire and Alice trade positions (let's call it Action 34). Then, Action 17 repeats. Then, nothing happens for a while. Then, Fred and Bob trade positions (let's call it Action 35). Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions (let's call it Action 36). Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Action 28 repeats. Then, Action 4 repeats. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Action 30 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 30 repeats. Then, Action 23 repeats. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something (let's call it Action 37). Then, Fred and Eve trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Bob and Gertrude trade positions (let's call it Action 38). Then, Action 22 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions (let's call it Action 39). Then, Alice and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Action 16 repeats. Then, Action 36 repeats. Then, Action 35 repeats. Then, Action 1 repeats. Then, Dave and Eve trade positions (let's call it Action 40). Then, Eve and Dave trade positions (let's call it Action 41). Then, Gertrude and Alice trade positions. Then, Action 17 repeats. Then, Action 21 repeats. Then, Fred and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Action 4 repeats. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something (let's call it Action 42). Then, Bob and Alice trade positions. Then, Claire and Alice trade positions. Then, Action 33 repeats. Then, Claire and Eve trade positions (let's call it Action 43). Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 44). Then, Eve and Dave trade positions. Then, Eve and Alice trade positions. Then, Action 4 repeats. Then, Action 28 repeats. Then, Alice and Eve trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something (let's call it Action 45). Then, Action 22 repeats. Then, Action 18 repeats. Then, Bob and Alice trade positions. Then, Action 26 repeats. Then, Action 29 repeats. Then, Action 4 repeats. Then, Fred and Alice trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Action 1 repeats. Then, Action 7 repeats. Then, Dave and Claire trade positions. Then, Bob and Alice trade positions. Then, Action 11 repeats. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Dave and Alice trade positions (let's call it Action 46). Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions (let's call it Action 47). Then, Eve and Claire trade positions. Then, Eve and Claire discuss something (let's call it Action 48). Then, Eve and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions (let's call it Action 49). Then, Claire and Gertrude trade positions (let's call it Action 50). Then, Gertrude and Dave trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Action 14 repeats. Then, Gertrude and Fred trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Alice and Fred trade positions. Then, Action 20 repeats. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Eve and Claire trade positions. Then, Action 48 repeats. Then, Eve and Claire trade positions. Then, Eve and Bob trade positions (let's call it Action 51). Then, Eve and Bob discuss something (let's call it Action 52). Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Action 9 repeats. Then, Action 15 repeats. Then, Action 9 repeats. Then, nothing happens for a while. Then, Action 1 repeats. Then, Dave and Fred trade positions (let's call it Action 53). Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions (let's call it Action 54). Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Action 38 repeats. Then, Bob and Gertrude discuss something (let's call it Action 55). Then, Action 38 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something (let's call it Action 56). Then, Fred and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Action 23 repeats. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Action 17 repeats. Then, Gertrude and Alice trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions (let's call it Action 57). Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Action 3 repeats. Then, Action 13 repeats. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Alice trade positions. Then, Action 26 repeats. Then, Bob and Fred trade positions. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Action 28 repeats. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Dave and Bob trade positions. Then, Action 36 repeats. Then, Fred and Bob trade positions. Then, Action 30 repeats. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Claire and Eve trade positions. Then, Action 27 repeats. Then, Bob and Eve trade positions. Then, Action 51 repeats. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something (let's call it Action 58). Then, Action 2 repeats. Then, Alice and Eve trade positions. Then, Action 12 repeats. Then, Alice and Eve trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Fred and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Action 2 repeats. Then, Claire and Dave trade positions. Then, Action 46 repeats. Then, Action 47 repeats. Then, Dave and Claire trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Action 1 repeats. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Action 22 repeats. Then, Action 46 repeats. Then, Action 14 repeats. Then, Gertrude and Claire trade positions. Then, Action 50 repeats. Then, Gertrude and Eve trade positions. Then, Alice and Bob trade positions. Then, Action 25 repeats. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something (let's call it Action 59). Then, Action 23 repeats. Then, Action 14 repeats. Then, Gertrude and Eve trade positions. Then, Alice and Bob trade positions. Then, Eve and Fred trade positions. Finally, Alice and Fred trade positions. At the end of the match, Fred is playing\nOptions:\n(A) left winger\n(B) cheerleader\n(C) fullback\n(D) right winger\n(E) striker\n(F) right midfielder\n(G) center midfielder", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:088", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a blue present, Bob has a green present, Claire has a brown present, Dave has a purple present, Eve has a orange ball, Fred has a pink ball, and Gertrude has a red present.\nAs the event progresses, pairs of people swap gifts. First, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Fred and Dave swap their gifts. Then, Fred and Dave discuss something. Then, Fred and Dave swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Claire and Fred swap their gifts. Then, Claire and Fred discuss something. Then, Claire and Fred swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Claire discuss something. Then, Fred and Claire swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something. Then, Fred and Alice swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, nothing happens for a while. Then, Fred and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something. Then, Alice and Claire swap their gifts. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Alice and Claire swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, Alice and Bob swap their gifts. Then, Alice and Bob discuss something. Then, Alice and Bob swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Dave and Alice swap their gifts. Then, Gertrude and Eve swap their gifts. Finally, Claire and Gertrude swap their gifts. At the end of the event, Bob has the\nOptions:\n(A) blue present\n(B) green present\n(C) brown present\n(D) purple present\n(E) orange ball\n(F) pink ball\n(G) red present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:090", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing center midfielder, Bob is playing right winger, Claire is playing right midfielder, Dave is playing benchwarmer, Eve is playing cheerleader, Fred is playing goalkeeper, and Gertrude is playing left winger.\nAs the game progresses, pairs of players occasionally swap positions. First, Fred and Bob trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Fred trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Dave and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Eve and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Bob and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Eve trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Eve and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Fred trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Alice and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Eve and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Eve trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Bob trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Dave and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Fred and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Fred and Alice trade positions. Then, Bob and Fred trade positions. Finally, Alice and Gertrude trade positions. At the end of the match, Dave is playing\nOptions:\n(A) center midfielder\n(B) right winger\n(C) right midfielder\n(D) benchwarmer\n(E) cheerleader\n(F) goalkeeper\n(G) left winger", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:091", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing benchwarmer, Bob is playing cheerleader, Claire is playing left midfielder, Dave is playing center midfielder, Eve is playing left winger, Fred is playing right winger, and Gertrude is playing fullback.\nAs the game progresses, pairs of players occasionally swap positions. First, Dave and Alice trade positions. Then, nothing happens for a while (let's call it Action 1). Then, Eve and Dave trade positions (let's call it Action 2). Then, Dave and Gertrude trade positions (let's call it Action 3). Then, Gertrude and Dave trade positions (let's call it Action 4). Then, Dave and Eve trade positions (let's call it Action 5). Then, Claire and Dave trade positions (let's call it Action 6). Then, Claire and Dave discuss something (let's call it Action 7). Then, Claire and Dave trade positions. Then, Bob and Eve trade positions (let's call it Action 8). Then, Bob and Eve discuss something (let's call it Action 9). Then, Bob and Eve trade positions. Then, Action 1 repeats. Then, Claire and Gertrude trade positions (let's call it Action 10). Then, Gertrude and Claire trade positions (let's call it Action 11). Then, nothing happens for a while. Then, Gertrude and Bob trade positions (let's call it Action 12). Then, Bob and Gertrude trade positions (let's call it Action 13). Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something (let's call it Action 14). Then, Gertrude and Claire trade positions. Then, Eve and Bob trade positions (let's call it Action 15). Then, Eve and Bob discuss something (let's call it Action 16). Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions (let's call it Action 17). Then, Gertrude and Eve trade positions (let's call it Action 18). Then, Eve and Gertrude trade positions (let's call it Action 19). Then, Gertrude and Fred trade positions (let's call it Action 20). Then, Alice and Eve trade positions (let's call it Action 21). Then, Eve and Claire trade positions (let's call it Action 22). Then, Claire and Eve trade positions (let's call it Action 23). Then, Eve and Alice trade positions (let's call it Action 24). Then, Claire and Alice trade positions (let's call it Action 25). Then, Alice and Gertrude trade positions (let's call it Action 26). Then, Gertrude and Alice trade positions (let's call it Action 27). Then, Alice and Claire trade positions (let's call it Action 28). Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Action 27 repeats. Then, Alice and Eve trade positions. Then, Bob and Gertrude trade positions. Then, Action 12 repeats. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something (let's call it Action 29). Then, Action 23 repeats. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Claire and Bob trade positions (let's call it Action 30). Then, Bob and Claire trade positions (let's call it Action 31). Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something (let's call it Action 32). Then, Eve and Claire trade positions. Then, Bob and Alice trade positions (let's call it Action 33). Then, Bob and Alice discuss something (let's call it Action 34). Then, Bob and Alice trade positions. Then, Action 1 repeats. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something (let's call it Action 35). Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions (let's call it Action 36). Then, Bob and Dave discuss something (let's call it Action 37). Then, Action 36 repeats. Then, Action 6 repeats. Then, Action 7 repeats. Then, Claire and Dave trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Fred and Claire trade positions (let's call it Action 38). Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions (let's call it Action 39). Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions (let's call it Action 40). Then, Dave and Fred trade positions (let's call it Action 41). Then, Fred and Gertrude trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Action 11 repeats. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Action 10 repeats. Then, Fred and Claire trade positions. Then, Action 1 repeats. Then, Alice and Bob trade positions (let's call it Action 42). Then, Bob and Dave trade positions. Then, Dave and Bob trade positions (let's call it Action 43). Then, Action 33 repeats. Then, Action 18 repeats. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Eve and Claire trade positions. Then, Action 32 repeats. Then, Eve and Claire trade positions. Then, Action 1 repeats. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Action 4 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something (let's call it Action 44). Then, Gertrude and Alice trade positions. Then, Bob and Dave trade positions. Then, Action 5 repeats. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Action 28 repeats. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something (let's call it Action 45). Then, Alice and Gertrude trade positions. Then, Eve and Fred trade positions (let's call it Action 46). Then, Eve and Fred discuss something (let's call it Action 47). Then, Eve and Fred trade positions. Then, Action 1 repeats. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions (let's call it Action 48). Then, Alice and Fred trade positions (let's call it Action 49). Then, Action 38 repeats. Then, Action 1 repeats. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Bob and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Bob trade positions. Then, Action 19 repeats. Then, Gertrude and Dave trade positions. Then, Action 3 repeats. Then, Gertrude and Eve trade positions. Then, Dave and Alice trade positions (let's call it Action 50). Then, Dave and Alice discuss something (let's call it Action 51). Then, Action 50 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 23 repeats. Then, Action 46 repeats. Then, Fred and Eve trade positions (let's call it Action 52). Then, Eve and Claire trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something (let's call it Action 53). Then, Action 13 repeats. Then, Bob and Dave trade positions. Then, Action 5 repeats. Then, Action 2 repeats. Then, Action 43 repeats. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something (let's call it Action 54). Then, Alice and Fred trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 36 repeats. Then, Dave and Claire trade positions (let's call it Action 55). Then, Action 12 repeats. Then, Bob and Gertrude trade positions. Then, Action 3 repeats. Then, Dave and Gertrude discuss something (let's call it Action 56). Then, Action 3 repeats. Then, Claire and Dave trade positions. Then, Action 55 repeats. Then, Eve and Fred trade positions. Then, Action 47 repeats. Then, Eve and Fred trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Action 55 repeats. Then, Dave and Claire discuss something (let's call it Action 57). Then, Dave and Claire trade positions. Then, Action 43 repeats. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Action 28 repeats. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Action 24 repeats. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 58). Then, Action 39 repeats. Then, Eve and Gertrude trade positions. Then, Action 18 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something (let's call it Action 59). Then, Action 48 repeats. Then, Action 12 repeats. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Action 13 repeats. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire trade positions. Then, Bob and Alice trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Action 1 repeats. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, Action 50 repeats. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions (let's call it Action 60). Then, Dave and Alice trade positions. Then, Action 28 repeats. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Alice trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Action 51 repeats. Then, Dave and Alice trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Action 22 repeats. Then, Action 6 repeats. Then, Dave and Claire trade positions. Then, Claire and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Action 55 repeats. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Action 60 repeats. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 61). Then, Action 2 repeats. Then, Gertrude and Alice trade positions. Then, Action 26 repeats. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something (let's call it Action 62). Then, Claire and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Action 29 repeats. Then, Claire and Eve trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions (let's call it Action 63). Then, Bob and Fred trade positions (let's call it Action 64). Then, Fred and Gertrude trade positions. Then, Action 30 repeats. Then, Claire and Bob discuss something (let's call it Action 65). Then, Claire and Bob trade positions. Then, Action 13 repeats. Then, Gertrude and Alice trade positions. Finally, Eve and Bob trade positions. At the end of the match, Bob is playing\nOptions:\n(A) benchwarmer\n(B) cheerleader\n(C) left midfielder\n(D) center midfielder\n(E) left winger\n(F) right winger\n(G) fullback", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:093", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Rodrigo, Claire is dancing with Karl, Dave is dancing with Ophelia, Eve is dancing with Lola, Fred is dancing with Jamie, and Gertrude is dancing with Patrick.\nThroughout the song, the dancers often trade partners. First, Alice and Eve switch partners. Then, Dave and Eve switch partners (let's call it Action 1). Then, Eve and Dave switch partners (let's call it Action 2). Then, Gertrude and Claire switch partners (let's call it Action 3). Then, Claire and Alice switch partners (let's call it Action 4). Then, Alice and Claire switch partners (let's call it Action 5). Then, Claire and Gertrude switch partners (let's call it Action 6). Then, Fred and Gertrude switch partners (let's call it Action 7). Then, Gertrude and Fred switch partners (let's call it Action 8). Then, nothing happens for a while (let's call it Action 9). Then, Dave and Eve switch partners. Then, Eve and Bob switch partners (let's call it Action 10). Then, Bob and Eve switch partners (let's call it Action 11). Then, Eve and Dave switch partners. Then, Action 9 repeats. Then, Dave and Gertrude switch partners (let's call it Action 12). Then, Gertrude and Eve switch partners (let's call it Action 13). Then, Eve and Gertrude switch partners (let's call it Action 14). Then, Gertrude and Dave switch partners (let's call it Action 15). Then, Bob and Fred switch partners (let's call it Action 16). Then, Bob and Fred discuss something (let's call it Action 17). Then, Action 16 repeats. Then, Eve and Gertrude switch partners. Then, Action 8 repeats. Then, Fred and Gertrude switch partners. Then, Action 13 repeats. Then, Claire and Fred switch partners (let's call it Action 18). Then, Fred and Dave switch partners (let's call it Action 19). Then, Dave and Fred switch partners (let's call it Action 20). Then, Fred and Claire switch partners (let's call it Action 21). Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Eve and Claire switch partners (let's call it Action 22). Then, Claire and Bob switch partners (let's call it Action 23). Then, Bob and Claire switch partners (let's call it Action 24). Then, Claire and Eve switch partners (let's call it Action 25). Then, Claire and Fred switch partners. Then, Claire and Fred discuss something (let's call it Action 26). Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something (let's call it Action 27). Then, Gertrude and Claire switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Alice and Fred switch partners (let's call it Action 28). Then, Fred and Claire switch partners. Then, Action 18 repeats. Then, Fred and Alice switch partners (let's call it Action 29). Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Action 22 repeats. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners (let's call it Action 30). Then, Alice and Eve switch partners (let's call it Action 31). Then, Eve and Dave switch partners. Then, Action 30 repeats. Then, Action 5 repeats. Then, Claire and Alice switch partners. Then, Alice and Eve switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners (let's call it Action 32). Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners (let's call it Action 33). Then, Bob and Gertrude switch partners (let's call it Action 34). Then, Gertrude and Claire switch partners. Then, Action 18 repeats. Then, Fred and Eve switch partners (let's call it Action 35). Then, Eve and Fred switch partners (let's call it Action 36). Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Action 9 repeats. Then, Action 18 repeats. Then, Fred and Claire switch partners. Then, Action 25 repeats. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Action 1 repeats. Then, Action 2 repeats. Then, Bob and Fred switch partners. Then, Action 7 repeats. Then, Gertrude and Fred switch partners. Then, Fred and Bob switch partners. Then, nothing happens for a while. Then, Action 13 repeats. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Action 14 repeats. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Action 29 repeats. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Dave and Alice switch partners (let's call it Action 37). Then, Alice and Gertrude switch partners (let's call it Action 38). Then, Gertrude and Alice switch partners (let's call it Action 39). Then, Alice and Dave switch partners (let's call it Action 40). Then, Action 21 repeats. Then, Claire and Fred switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something (let's call it Action 41). Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners (let's call it Action 42). Then, Bob and Alice discuss something (let's call it Action 43). Then, Bob and Alice switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something (let's call it Action 44). Then, Fred and Dave switch partners. Then, Fred and Claire switch partners. Then, Dave and Gertrude switch partners. Then, Action 15 repeats. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something (let's call it Action 45). Then, Gertrude and Eve switch partners. Then, Fred and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Action 31 repeats. Then, Eve and Alice switch partners. Then, Action 12 repeats. Then, Action 33 repeats. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Action 38 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Action 39 repeats. Then, Alice and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners (let's call it Action 46). Then, Bob and Dave switch partners (let's call it Action 47). Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 38 repeats. Then, Alice and Gertrude discuss something (let's call it Action 48). Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Action 11 repeats. Then, Action 30 repeats. Then, Action 31 repeats. Then, Eve and Bob switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Action 9 repeats. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 5 repeats. Then, Claire and Bob switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something (let's call it Action 49). Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something (let's call it Action 50). Then, Action 23 repeats. Then, Action 32 repeats. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 37 repeats. Then, Dave and Alice discuss something (let's call it Action 51). Then, Action 37 repeats. Then, Action 32 repeats. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners (let's call it Action 52). Then, Bob and Fred switch partners. Then, Action 9 repeats. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something (let's call it Action 53). Then, Gertrude and Bob switch partners. Then, Action 4 repeats. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something (let's call it Action 54). Then, Action 11 repeats. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something (let's call it Action 55). Then, Action 25 repeats. Then, Action 47 repeats. Then, Action 37 repeats. Then, Action 40 repeats. Then, Action 46 repeats. Then, Action 39 repeats. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Action 9 repeats. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something (let's call it Action 56). Then, Action 10 repeats. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Alice switch partners. Then, Action 13 repeats. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Action 52 repeats. Then, Alice and Bob discuss something (let's call it Action 57). Then, Action 52 repeats. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Action 16 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something (let's call it Action 58). Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Action 25 repeats. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Gertrude and Bob switch partners. Then, Action 53 repeats. Then, Action 33 repeats. Then, Action 9 repeats. Then, Action 39 repeats. Then, Alice and Gertrude switch partners. Then, Bob and Fred switch partners. Then, Action 17 repeats. Then, Bob and Fred switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something (let's call it Action 59). Then, Dave and Bob switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something (let's call it Action 60). Then, Eve and Fred switch partners. Then, Action 20 repeats. Then, Alice and Bob switch partners. Finally, Fred and Bob switch partners. At the end of the dance, Claire is dancing with\nOptions:\n(A) Melissa\n(B) Rodrigo\n(C) Karl\n(D) Ophelia\n(E) Lola\n(F) Jamie\n(G) Patrick", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:095", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing right winger, Bob is playing right midfielder, Claire is playing cheerleader, Dave is playing striker, Eve is playing center midfielder, Fred is playing benchwarmer, and Gertrude is playing left midfielder.\nAs the game progresses, pairs of players occasionally swap positions. First, Eve and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Fred trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Dave and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Dave trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Bob trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Bob and Claire trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve trade positions. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Alice trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, Dave and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Dave trade positions. Then, Alice and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Alice trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Alice trade positions. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Bob and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Finally, Claire and Alice trade positions. At the end of the match, Claire is playing\nOptions:\n(A) right winger\n(B) right midfielder\n(C) cheerleader\n(D) striker\n(E) center midfielder\n(F) benchwarmer\n(G) left midfielder", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:098", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a green ball, Bob has a brown ball, Claire has a purple ball, Dave has a pink ball, Eve has a white ball, Fred has a red ball, and Gertrude has a orange ball.\nAs the game progresses, pairs of players trade balls. First, Eve and Dave swap balls. Then, nothing happens for a while (let's call it Action 1). Then, Action 1 repeats. Then, Gertrude and Fred swap balls (let's call it Action 2). Then, Fred and Alice swap balls (let's call it Action 3). Then, Alice and Fred swap balls (let's call it Action 4). Then, Fred and Gertrude swap balls (let's call it Action 5). Then, Eve and Fred swap balls (let's call it Action 6). Then, Eve and Fred discuss something (let's call it Action 7). Then, Eve and Fred swap balls. Then, Claire and Bob swap balls (let's call it Action 8). Then, Bob and Fred swap balls (let's call it Action 9). Then, Fred and Bob swap balls (let's call it Action 10). Then, Bob and Claire swap balls (let's call it Action 11). Then, Claire and Dave swap balls (let's call it Action 12). Then, Dave and Claire swap balls (let's call it Action 13). Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 4 repeats. Then, Alice and Fred discuss something (let's call it Action 14). Then, Alice and Fred swap balls. Then, Dave and Eve swap balls (let's call it Action 15). Then, Eve and Alice swap balls (let's call it Action 16). Then, Alice and Eve swap balls (let's call it Action 17). Then, Eve and Dave swap balls (let's call it Action 18). Then, Eve and Bob swap balls (let's call it Action 19). Then, Bob and Alice swap balls (let's call it Action 20). Then, Alice and Bob swap balls (let's call it Action 21). Then, Bob and Eve swap balls (let's call it Action 22). Then, Claire and Eve swap balls (let's call it Action 23). Then, Eve and Claire swap balls (let's call it Action 24). Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Dave and Bob swap balls (let's call it Action 25). Then, Bob and Dave swap balls (let's call it Action 26). Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap balls (let's call it Action 27). Then, Dave and Gertrude swap balls (let's call it Action 28). Then, Fred and Claire swap balls (let's call it Action 29). Then, Claire and Fred swap balls (let's call it Action 30). Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something (let's call it Action 31). Then, Alice and Eve swap balls. Then, Claire and Alice swap balls (let's call it Action 32). Then, Claire and Alice discuss something (let's call it Action 33). Then, Claire and Alice swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something (let's call it Action 34). Then, Action 9 repeats. Then, Bob and Dave swap balls. Then, Action 25 repeats. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls (let's call it Action 35). Then, Gertrude and Alice swap balls (let's call it Action 36). Then, Action 21 repeats. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something (let's call it Action 37). Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls (let's call it Action 38). Then, Dave and Fred swap balls (let's call it Action 39). Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something (let's call it Action 40). Then, Dave and Fred swap balls. Then, Gertrude and Claire swap balls (let's call it Action 41). Then, Claire and Gertrude swap balls (let's call it Action 42). Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something (let's call it Action 43). Then, Eve and Dave swap balls. Then, Action 41 repeats. Then, Gertrude and Claire discuss something (let's call it Action 44). Then, Gertrude and Claire swap balls. Then, Bob and Alice swap balls. Then, Action 21 repeats. Then, Fred and Eve swap balls (let's call it Action 45). Then, Fred and Eve discuss something (let's call it Action 46). Then, Action 45 repeats. Then, nothing happens for a while. Then, Alice and Dave swap balls (let's call it Action 47). Then, Dave and Alice swap balls (let's call it Action 48). Then, Bob and Claire swap balls. Then, Action 30 repeats. Then, Fred and Claire swap balls. Then, Action 8 repeats. Then, Action 16 repeats. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Action 17 repeats. Then, Bob and Gertrude swap balls (let's call it Action 49). Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls (let's call it Action 50). Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Action 1 repeats. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something (let's call it Action 51). Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls (let's call it Action 52). Then, Action 16 repeats. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls (let's call it Action 53). Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something (let's call it Action 54). Then, Dave and Claire swap balls. Then, Dave and Claire swap balls. Then, Action 32 repeats. Then, Alice and Claire swap balls (let's call it Action 55). Then, Claire and Dave swap balls. Then, Action 48 repeats. Then, Dave and Alice discuss something (let's call it Action 56). Then, Dave and Alice swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Action 1 repeats. Then, Action 27 repeats. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Fred swap balls. Then, Action 3 repeats. Then, Action 35 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Bob swap balls. Then, Action 35 repeats. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Dave and Claire swap balls. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Action 22 repeats. Then, Eve and Dave swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something (let's call it Action 57). Then, Eve and Gertrude swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something (let's call it Action 58). Then, Action 35 repeats. Then, Alice and Gertrude swap balls. Then, Action 36 repeats. Then, Action 15 repeats. Then, Eve and Dave swap balls. Then, Bob and Fred swap balls. Then, Action 5 repeats. Then, Action 2 repeats. Then, Fred and Bob swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Action 1 repeats. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something (let's call it Action 59). Then, Claire and Eve swap balls. Then, Action 27 repeats. Then, Gertrude and Dave discuss something (let's call it Action 60). Then, Action 27 repeats. Then, Action 17 repeats. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Action 22 repeats. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Action 32 repeats. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Action 34 repeats. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Action 32 repeats. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Action 32 repeats. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Alice and Fred swap balls. Then, Action 3 repeats. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something (let's call it Action 61). Then, Eve and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Action 35 repeats. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Action 3 repeats. Then, Action 2 repeats. Then, Fred and Gertrude swap balls. Then, Action 49 repeats. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Action 50 repeats. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Dave swap balls. Then, Action 27 repeats. Then, Action 13 repeats. Then, Action 12 repeats. Then, Dave and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Action 5 repeats. Then, Fred and Gertrude discuss something. Then, Action 5 repeats. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Action 1 repeats. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something (let's call it Action 62). Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Action 21 repeats. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something (let's call it Action 63). Then, Gertrude and Bob swap balls. Then, Eve and Claire swap balls. Then, Action 61 repeats. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Action 1 repeats. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Action 35 repeats. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Claire and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Claire swap balls. Then, Action 49 repeats. Then, Action 2 repeats. Then, Action 5 repeats. Then, Gertrude and Bob swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Action 45 repeats. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Action 17 repeats. Then, Eve and Alice swap balls. Then, Action 35 repeats. Then, Action 23 repeats. Then, Action 19 repeats. Then, Bob and Eve swap balls. Then, Eve and Claire swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something (let's call it Action 64). Then, Alice and Bob swap balls. Then, Action 52 repeats. Then, Gertrude and Eve discuss something (let's call it Action 65). Then, Gertrude and Eve swap balls. Then, Action 19 repeats. Then, Eve and Bob discuss something (let's call it Action 66). Then, Eve and Bob swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Action 18 repeats. Then, Action 43 repeats. Then, Eve and Dave swap balls. Then, Fred and Dave swap balls. Then, Eve and Alice swap balls. Finally, Dave and Gertrude swap balls. At the end of the game, Alice has the\nOptions:\n(A) green ball\n(B) brown ball\n(C) purple ball\n(D) pink ball\n(E) white ball\n(F) red ball\n(G) orange ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:100", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Sam, Bob is dancing with Karl, Claire is dancing with Izzi, Dave is dancing with Jamie, Eve is dancing with Helga, Fred is dancing with Rodrigo, and Gertrude is dancing with Ophelia.\nThroughout the song, the dancers often trade partners. First, Claire and Eve switch partners. Then, Bob and Fred switch partners (let's call it Action 1). Then, Fred and Bob switch partners (let's call it Action 2). Then, nothing happens for a while (let's call it Action 3). Then, nothing happens for a while. Then, Fred and Claire switch partners (let's call it Action 4). Then, Fred and Claire discuss something (let's call it Action 5). Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 3 repeats. Then, Bob and Dave switch partners (let's call it Action 6). Then, Dave and Claire switch partners (let's call it Action 7). Then, Claire and Dave switch partners (let's call it Action 8). Then, Dave and Bob switch partners (let's call it Action 9). Then, Bob and Claire switch partners (let's call it Action 10). Then, Bob and Claire discuss something (let's call it Action 11). Then, Bob and Claire switch partners. Then, Gertrude and Alice switch partners (let's call it Action 12). Then, Gertrude and Alice discuss something (let's call it Action 13). Then, Gertrude and Alice switch partners. Then, Action 3 repeats. Then, Alice and Claire switch partners (let's call it Action 14). Then, Alice and Claire discuss something (let's call it Action 15). Then, Alice and Claire switch partners. Then, Action 3 repeats. Then, Claire and Alice switch partners (let's call it Action 16). Then, Claire and Alice discuss something (let's call it Action 17). Then, Claire and Alice switch partners. Then, Dave and Eve switch partners (let's call it Action 18). Then, Dave and Eve discuss something (let's call it Action 19). Then, Dave and Eve switch partners. Then, Fred and Alice switch partners (let's call it Action 20). Then, Fred and Alice discuss something (let's call it Action 21). Then, Action 20 repeats. Then, Gertrude and Bob switch partners (let's call it Action 22). Then, Gertrude and Bob discuss something (let's call it Action 23). Then, Gertrude and Bob switch partners. Then, Action 6 repeats. Then, Dave and Gertrude switch partners (let's call it Action 24). Then, Gertrude and Dave switch partners (let's call it Action 25). Then, Dave and Bob switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something (let's call it Action 26). Then, Bob and Fred switch partners. Then, Bob and Eve switch partners (let's call it Action 27). Then, Bob and Eve discuss something (let's call it Action 28). Then, Bob and Eve switch partners. Then, Eve and Alice switch partners (let's call it Action 29). Then, Alice and Eve switch partners (let's call it Action 30). Then, Dave and Fred switch partners (let's call it Action 31). Then, Dave and Fred discuss something (let's call it Action 32). Then, Dave and Fred switch partners. Then, Alice and Gertrude switch partners (let's call it Action 33). Then, Alice and Gertrude discuss something (let's call it Action 34). Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Eve and Bob switch partners (let's call it Action 35). Then, Eve and Bob discuss something (let's call it Action 36). Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude switch partners (let's call it Action 37). Then, Gertrude and Eve switch partners (let's call it Action 38). Then, Eve and Gertrude switch partners (let's call it Action 39). Then, Gertrude and Bob switch partners. Then, Gertrude and Fred switch partners (let's call it Action 40). Then, Gertrude and Fred discuss something (let's call it Action 41). Then, Gertrude and Fred switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Eve and Fred switch partners (let's call it Action 42). Then, Fred and Eve switch partners (let's call it Action 43). Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something (let's call it Action 44). Then, Dave and Gertrude switch partners. Then, Claire and Dave switch partners. Then, Action 24 repeats. Then, Action 25 repeats. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Eve switch partners (let's call it Action 45). Then, Eve and Dave switch partners (let's call it Action 46). Then, Action 18 repeats. Then, Eve and Claire switch partners (let's call it Action 47). Then, Fred and Dave switch partners (let's call it Action 48). Then, Dave and Fred switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners (let's call it Action 49). Then, Gertrude and Claire switch partners (let's call it Action 50). Then, Claire and Bob switch partners (let's call it Action 51). Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Fred switch partners (let's call it Action 52). Then, Fred and Claire switch partners. Then, Action 49 repeats. Then, Bob and Alice switch partners (let's call it Action 53). Then, Alice and Gertrude switch partners. Then, Action 12 repeats. Then, Alice and Bob switch partners (let's call it Action 54). Then, nothing happens for a while. Then, Alice and Fred switch partners (let's call it Action 55). Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something (let's call it Action 56). Then, Gertrude and Dave switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Eve switch partners. Then, Action 47 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something (let's call it Action 57). Then, Gertrude and Claire switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something (let's call it Action 58). Then, Action 37 repeats. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Gertrude and Claire switch partners. Then, Action 49 repeats. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something (let's call it Action 59). Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Alice switch partners. Then, Action 13 repeats. Then, Gertrude and Alice switch partners. Then, Action 3 repeats. Then, nothing happens for a while. Then, Action 33 repeats. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Alice and Dave switch partners (let's call it Action 60). Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Alice switch partners (let's call it Action 61). Then, Claire and Fred switch partners. Then, Claire and Fred discuss something (let's call it Action 62). Then, Claire and Fred switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Action 38 repeats. Then, Action 42 repeats. Then, Bob and Eve switch partners. Then, Action 29 repeats. Then, Action 30 repeats. Then, Action 35 repeats. Then, Action 48 repeats. Then, Action 31 repeats. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something (let's call it Action 63). Then, Action 54 repeats. Then, Action 14 repeats. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Action 3 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners (let's call it Action 64). Then, Gertrude and Claire switch partners. Then, Action 30 repeats. Then, Action 29 repeats. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something (let's call it Action 65). Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Action 47 repeats. Then, Claire and Fred switch partners. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something (let's call it Action 66). Then, Claire and Dave switch partners. Then, Action 3 repeats. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Action 45 repeats. Then, Eve and Claire switch partners. Then, Action 40 repeats. Then, Fred and Bob switch partners. Then, Action 1 repeats. Then, Fred and Gertrude switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Action 2 repeats. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something (let's call it Action 67). Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something (let's call it Action 68). Then, Action 51 repeats. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Action 9 repeats. Then, Bob and Claire switch partners. Then, Action 51 repeats. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Action 61 repeats. Then, Alice and Dave switch partners. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Action 60 repeats. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, Eve and Alice switch partners. Then, Action 30 repeats. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Action 52 repeats. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Action 3 repeats. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Eve and Fred switch partners. Then, Fred and Bob switch partners. Then, Action 1 repeats. Then, Fred and Eve switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Action 27 repeats. Then, Action 24 repeats. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Eve and Alice switch partners. Then, Action 30 repeats. Then, Action 35 repeats. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something (let's call it Action 69). Then, Gertrude and Eve switch partners. Then, Action 37 repeats. Then, Gertrude and Bob switch partners. Then, Action 39 repeats. Then, Action 40 repeats. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Alice and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Gertrude and Fred switch partners. Then, Action 4 repeats. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Action 3 repeats. Then, Bob and Gertrude switch partners. Then, Action 22 repeats. Then, Fred and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Fred switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something (let's call it Action 70). Then, Action 9 repeats. Then, Bob and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something (let's call it Action 71). Then, Action 64 repeats. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something (let's call it Action 72). Then, Bob and Dave switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 22 repeats. Then, Bob and Fred switch partners. Then, Action 42 repeats. Then, Bob and Claire switch partners. Finally, Fred and Gertrude switch partners. At the end of the dance, Dave is dancing with\nOptions:\n(A) Sam\n(B) Karl\n(C) Izzi\n(D) Jamie\n(E) Helga\n(F) Rodrigo\n(G) Ophelia", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:104", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing cheerleader, Bob is playing left winger, Claire is playing goalkeeper, Dave is playing right midfielder, Eve is playing center midfielder, Fred is playing benchwarmer, and Gertrude is playing striker.\nAs the game progresses, pairs of players occasionally swap positions. First, Fred and Claire trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Claire trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Claire and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Alice trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Fred and Dave trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Fred and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Alice trade positions. Then, Bob and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Bob trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Dave and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Claire and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Claire trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Alice and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Alice trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Fred and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Claire trade positions. Then, Alice and Bob trade positions. Then, Dave and Bob trade positions. Finally, Fred and Eve trade positions. At the end of the match, Eve is playing\nOptions:\n(A) cheerleader\n(B) left winger\n(C) goalkeeper\n(D) right midfielder\n(E) center midfielder\n(F) benchwarmer\n(G) striker", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:106", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a orange ball, Bob has a yellow ball, Claire has a brown ball, Dave has a white ball, Eve has a black ball, Fred has a red ball, and Gertrude has a purple ball.\nAs the game progresses, pairs of players trade balls. First, Claire and Bob swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Dave swap balls. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Dave and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Dave swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Fred swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Fred and Gertrude swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Alice and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Bob and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Dave swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Alice and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Alice swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Claire and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, nothing happens for a while. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred swap balls. Then, Alice and Dave swap balls. Finally, Eve and Claire swap balls. At the end of the game, Eve has the\nOptions:\n(A) orange ball\n(B) yellow ball\n(C) brown ball\n(D) white ball\n(E) black ball\n(F) red ball\n(G) purple ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:107", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Ulysses, Bob gets Frankenstein, Claire gets Moby Dick, Dave gets The Odyssey, Eve gets The Great Gatsby, Fred gets Lolita, and Gertrude gets The Pearl.\nAs the semester proceeds, they start trading around the new books. First, Bob and Claire swap books. Then, nothing happens for a while (let's call it Action 1). Then, Eve and Bob swap books (let's call it Action 2). Then, Bob and Eve swap books (let's call it Action 3). Then, Claire and Alice swap books (let's call it Action 4). Then, Alice and Claire swap books (let's call it Action 5). Then, nothing happens for a while. Then, Action 1 repeats. Then, nothing happens for a while. Then, Claire and Dave swap books (let's call it Action 6). Then, Claire and Dave discuss something (let's call it Action 7). Then, Action 6 repeats. Then, Alice and Dave swap books (let's call it Action 8). Then, Alice and Dave discuss something (let's call it Action 9). Then, Alice and Dave swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books (let's call it Action 10). Then, Gertrude and Claire swap books (let's call it Action 11). Then, Gertrude and Fred swap books (let's call it Action 12). Then, Gertrude and Fred discuss something (let's call it Action 13). Then, Action 12 repeats. Then, Bob and Claire swap books (let's call it Action 14). Then, Claire and Bob swap books (let's call it Action 15). Then, Claire and Bob swap books. Then, Bob and Dave swap books (let's call it Action 16). Then, Dave and Bob swap books (let's call it Action 17). Then, Bob and Claire swap books. Then, Dave and Claire swap books (let's call it Action 18). Then, Claire and Fred swap books (let's call it Action 19). Then, Fred and Claire swap books (let's call it Action 20). Then, Action 6 repeats. Then, Bob and Gertrude swap books (let's call it Action 21). Then, Gertrude and Bob swap books (let's call it Action 22). Then, Claire and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Action 14 repeats. Then, Bob and Gertrude swap books. Then, Bob and Gertrude discuss something (let's call it Action 23). Then, Bob and Gertrude swap books. Then, Alice and Eve swap books (let's call it Action 24). Then, Alice and Eve discuss something (let's call it Action 25). Then, Action 24 repeats. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something (let's call it Action 26). Then, Action 15 repeats. Then, Eve and Claire swap books (let's call it Action 27). Then, Claire and Eve swap books (let's call it Action 28). Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Fred and Claire discuss something (let's call it Action 29). Then, Fred and Claire swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Bob and Eve swap books. Then, Bob and Eve discuss something (let's call it Action 30). Then, Bob and Eve swap books. Then, Action 11 repeats. Then, Claire and Gertrude swap books. Then, Eve and Alice swap books (let's call it Action 31). Then, Gertrude and Eve swap books (let's call it Action 32). Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Gertrude swap books (let's call it Action 33). Then, Alice and Bob swap books (let's call it Action 34). Then, Bob and Alice swap books (let's call it Action 35). Then, Eve and Bob swap books. Then, Action 16 repeats. Then, Action 17 repeats. Then, Action 3 repeats. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Fred and Dave swap books (let's call it Action 36). Then, Dave and Fred swap books (let's call it Action 37). Then, Fred and Alice swap books (let's call it Action 38). Then, Fred and Alice discuss something (let's call it Action 39). Then, Fred and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Alice swap books (let's call it Action 40). Then, Alice and Gertrude swap books (let's call it Action 41). Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Fred and Gertrude swap books (let's call it Action 42). Then, Fred and Gertrude discuss something (let's call it Action 43). Then, Fred and Gertrude swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Dave swap books (let's call it Action 44). Then, Dave and Gertrude swap books (let's call it Action 45). Then, Gertrude and Bob swap books. Then, Action 1 repeats. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice swap books. Then, Claire and Alice discuss something (let's call it Action 46). Then, Claire and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something (let's call it Action 47). Then, Fred and Dave swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, nothing happens for a while. Then, Action 40 repeats. Then, Gertrude and Alice discuss something (let's call it Action 48). Then, Gertrude and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred swap books (let's call it Action 49). Then, Bob and Fred discuss something (let's call it Action 50). Then, Bob and Fred swap books. Then, Gertrude and Bob swap books. Then, Action 21 repeats. Then, Action 11 repeats. Then, Claire and Gertrude swap books. Then, Action 8 repeats. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Dave and Gertrude swap books. Then, Action 22 repeats. Then, Bob and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Action 41 repeats. Then, Gertrude and Alice swap books. Then, Action 1 repeats. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Action 32 repeats. Then, Action 27 repeats. Then, Claire and Eve swap books. Then, Action 33 repeats. Then, Alice and Fred swap books (let's call it Action 51). Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something (let's call it Action 52). Then, Dave and Gertrude swap books. Then, Action 1 repeats. Then, Dave and Bob swap books. Then, Dave and Bob discuss something (let's call it Action 53). Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Action 28 repeats. Then, Action 27 repeats. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something (let's call it Action 54). Then, Gertrude and Bob swap books. Then, Action 8 repeats. Then, Action 18 repeats. Then, Claire and Dave swap books. Then, Dave and Alice swap books (let's call it Action 55). Then, Gertrude and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Gertrude swap books. Then, Action 11 repeats. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Action 1 repeats. Then, Gertrude and Dave swap books. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Action 40 repeats. Then, Action 41 repeats. Then, Gertrude and Alice swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Eve and Alice discuss something (let's call it Action 56). Then, Eve and Alice swap books. Then, Bob and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Bob swap books. Then, Action 28 repeats. Then, Action 33 repeats. Then, Action 32 repeats. Then, Eve and Claire swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Action 14 repeats. Then, Bob and Claire discuss something (let's call it Action 57). Then, Action 14 repeats. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Claire and Dave swap books. Then, Dave and Eve swap books (let's call it Action 58). Then, Eve and Dave swap books (let's call it Action 59). Then, Action 18 repeats. Then, Action 33 repeats. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Fred and Bob swap books (let's call it Action 60). Then, Bob and Fred swap books. Then, Claire and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Claire swap books. Then, Gertrude and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Action 41 repeats. Then, Bob and Claire swap books. Then, Action 19 repeats. Then, Fred and Claire swap books. Then, Claire and Bob swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something (let's call it Action 61). Then, Dave and Alice swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something (let's call it Action 62). Then, Alice and Claire swap books. Then, Action 1 repeats. Then, Fred and Bob swap books. Then, Fred and Bob discuss something (let's call it Action 63). Then, Fred and Bob swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, nothing happens for a while. Then, Eve and Fred swap books (let's call it Action 64). Then, Eve and Fred discuss something (let's call it Action 65). Then, Eve and Fred swap books. Then, Action 1 repeats. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, nothing happens for a while. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something. Then, Action 42 repeats. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Action 37 repeats. Then, Action 20 repeats. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Alice and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Alice swap books. Then, nothing happens for a while. Then, Action 44 repeats. Then, Dave and Gertrude swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Action 42 repeats. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Action 1 repeats. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Fred and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Fred swap books. Then, Bob and Gertrude swap books. Then, Action 23 repeats. Then, Action 21 repeats. Then, Action 34 repeats. Then, Eve and Claire swap books. Finally, Alice and Fred swap books. At the end of the semester, Gertrude has\nOptions:\n(A) Ulysses\n(B) Frankenstein\n(C) Moby Dick\n(D) The Odyssey\n(E) The Great Gatsby\n(F) Lolita\n(G) The Pearl", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:108", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a brown ball, Bob has a black ball, Claire has a red ball, Dave has a yellow ball, Eve has a pink ball, Fred has a white ball, and Gertrude has a orange ball.\nAs the game progresses, pairs of players trade balls. First, Eve and Gertrude swap balls. Then, nothing happens for a while (let's call it Action 1). Then, Bob and Gertrude swap balls (let's call it Action 2). Then, Gertrude and Bob swap balls (let's call it Action 3). Then, Action 1 repeats. Then, Alice and Claire swap balls (let's call it Action 4). Then, Alice and Claire discuss something (let's call it Action 5). Then, Action 4 repeats. Then, Eve and Gertrude swap balls (let's call it Action 6). Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Eve swap balls (let's call it Action 7). Then, Gertrude and Dave swap balls (let's call it Action 8). Then, Dave and Alice swap balls (let's call it Action 9). Then, Alice and Dave swap balls (let's call it Action 10). Then, Dave and Gertrude swap balls (let's call it Action 11). Then, Action 1 repeats. Then, Alice and Fred swap balls (let's call it Action 12). Then, Fred and Dave swap balls (let's call it Action 13). Then, Dave and Fred swap balls (let's call it Action 14). Then, Fred and Alice swap balls (let's call it Action 15). Then, nothing happens for a while. Then, Action 1 repeats. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Action 13 repeats. Then, Dave and Fred swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Eve swap balls (let's call it Action 16). Then, Eve and Claire swap balls (let's call it Action 17). Then, Claire and Eve swap balls (let's call it Action 18). Then, Eve and Dave swap balls (let's call it Action 19). Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Bob and Alice swap balls (let's call it Action 20). Then, Alice and Bob swap balls (let's call it Action 21). Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Action 4 repeats. Then, Claire and Alice swap balls (let's call it Action 22). Then, Gertrude and Fred swap balls (let's call it Action 23). Then, Gertrude and Fred discuss something (let's call it Action 24). Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls (let's call it Action 25). Then, Claire and Dave swap balls (let's call it Action 26). Then, Alice and Eve swap balls (let's call it Action 27). Then, Eve and Dave swap balls. Then, Action 16 repeats. Then, Eve and Alice swap balls (let's call it Action 28). Then, Action 19 repeats. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave swap balls (let's call it Action 29). Then, Dave and Bob swap balls (let's call it Action 30). Then, Fred and Eve swap balls (let's call it Action 31). Then, Fred and Eve discuss something (let's call it Action 32). Then, Fred and Eve swap balls. Then, Fred and Claire swap balls (let's call it Action 33). Then, Fred and Claire discuss something (let's call it Action 34). Then, Fred and Claire swap balls. Then, Fred and Bob swap balls (let's call it Action 35). Then, Bob and Claire swap balls (let's call it Action 36). Then, Claire and Bob swap balls (let's call it Action 37). Then, Bob and Fred swap balls (let's call it Action 38). Then, Action 1 repeats. Then, nothing happens for a while. Then, Action 8 repeats. Then, Gertrude and Dave discuss something (let's call it Action 39). Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Action 1 repeats. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something (let's call it Action 40). Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Action 10 repeats. Then, Action 25 repeats. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something (let's call it Action 41). Then, Action 15 repeats. Then, Action 1 repeats. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 1 repeats. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls (let's call it Action 42). Then, Action 23 repeats. Then, Action 15 repeats. Then, Gertrude and Alice swap balls (let's call it Action 43). Then, Gertrude and Alice discuss something (let's call it Action 44). Then, Gertrude and Alice swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls (let's call it Action 45). Then, Bob and Eve swap balls (let's call it Action 46). Then, Bob and Eve discuss something (let's call it Action 47). Then, Action 46 repeats. Then, Claire and Alice swap balls. Then, Action 4 repeats. Then, Action 1 repeats. Then, Action 45 repeats. Then, Alice and Gertrude discuss something (let's call it Action 48). Then, Alice and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something (let's call it Action 49). Then, Eve and Claire swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something (let's call it Action 50). Then, Dave and Fred swap balls. Then, Claire and Fred swap balls (let's call it Action 51). Then, Claire and Fred discuss something (let's call it Action 52). Then, Claire and Fred swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Action 20 repeats. Then, Action 12 repeats. Then, Action 15 repeats. Then, Alice and Bob swap balls. Then, Claire and Alice swap balls. Then, Action 4 repeats. Then, Fred and Dave swap balls. Then, Gertrude and Fred swap balls. Then, Action 42 repeats. Then, nothing happens for a while. Then, Action 38 repeats. Then, Bob and Fred discuss something (let's call it Action 53). Then, Bob and Fred swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Gertrude swap balls (let's call it Action 54). Then, Gertrude and Claire swap balls (let's call it Action 55). Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Action 33 repeats. Then, Action 19 repeats. Then, Eve and Dave discuss something (let's call it Action 56). Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, Action 46 repeats. Then, Bob and Eve discuss something. Then, Action 46 repeats. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something (let's call it Action 57). Then, Bob and Gertrude swap balls. Then, Alice and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Alice swap balls. Then, Eve and Bob swap balls (let's call it Action 58). Then, Eve and Bob discuss something (let's call it Action 59). Then, Action 58 repeats. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something (let's call it Action 60). Then, Action 3 repeats. Then, Fred and Alice swap balls. Then, Action 41 repeats. Then, Fred and Alice swap balls. Then, Dave and Fred swap balls. Then, Action 13 repeats. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Action 20 repeats. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Action 16 repeats. Then, Action 6 repeats. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Action 28 repeats. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Action 28 repeats. Then, Alice and Eve swap balls. Then, Action 36 repeats. Then, Claire and Alice swap balls. Then, Action 4 repeats. Then, Action 37 repeats. Then, Eve and Fred swap balls (let's call it Action 61). Then, Action 31 repeats. Then, Fred and Eve swap balls. Then, Action 19 repeats. Then, Dave and Eve swap balls. Then, Action 61 repeats. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something (let's call it Action 62). Then, Gertrude and Claire swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Action 20 repeats. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Action 1 repeats. Then, Action 26 repeats. Then, Action 30 repeats. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, nothing happens for a while. Then, Action 1 repeats. Then, Action 1 repeats. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Action 15 repeats. Then, Alice and Fred swap balls. Then, Dave and Bob swap balls. Then, Action 29 repeats. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Action 29 repeats. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something (let's call it Action 63). Then, Action 16 repeats. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Action 12 repeats. Then, Fred and Claire swap balls. Then, Action 12 repeats. Then, Alice and Fred discuss something (let's call it Action 64). Then, Action 12 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 51 repeats. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Bob and Gertrude swap balls. Then, Action 23 repeats. Then, Fred and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Action 9 repeats. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Action 10 repeats. Then, Action 43 repeats. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Action 33 repeats. Then, Claire and Fred swap balls. Then, Action 1 repeats. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Action 1 repeats. Then, Alice and Claire swap balls. Then, Action 22 repeats. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something (let's call it Action 65). Then, Action 18 repeats. Then, Fred and Claire swap balls. Then, Action 26 repeats. Then, Dave and Claire swap balls. Then, Action 51 repeats. Then, Action 26 repeats. Then, Dave and Alice swap balls. Finally, Bob and Dave swap balls. At the end of the game, Claire has the\nOptions:\n(A) brown ball\n(B) black ball\n(C) red ball\n(D) yellow ball\n(E) pink ball\n(F) white ball\n(G) orange ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:111", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Moby Dick, Bob gets Hound of the Baskervilles, Claire gets The Great Gatsby, Dave gets The Odyssey, Eve gets Ulysses, Fred gets Lolita, and Gertrude gets The Pearl.\nAs the semester proceeds, they start trading around the new books. First, Alice and Fred swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Gertrude swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Claire swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Claire and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Fred and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Fred swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Fred and Bob swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, Gertrude and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Claire and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Eve and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Bob swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Dave and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Dave swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Claire swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Bob and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Bob swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Gertrude swap books. Then, Claire and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Claire swap books. Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, Fred and Eve discuss something. Then, Fred and Eve swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Alice and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Alice swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire swap books. Then, Claire and Bob swap books. Finally, Dave and Alice swap books. At the end of the semester, Bob has\nOptions:\n(A) Moby Dick\n(B) Hound of the Baskervilles\n(C) The Great Gatsby\n(D) The Odyssey\n(E) Ulysses\n(F) Lolita\n(G) The Pearl", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:112", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing center midfielder, Bob is playing right winger, Claire is playing right midfielder, Dave is playing benchwarmer, Eve is playing cheerleader, Fred is playing goalkeeper, and Gertrude is playing left winger.\nAs the game progresses, pairs of players occasionally swap positions. First, Fred and Bob trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Dave and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Dave trade positions. Then, Claire and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Claire trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Fred trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Alice and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Eve trade positions. Then, Claire and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Dave and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Alice trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Claire trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Claire and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, Claire and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Bob and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Bob trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice trade positions. Then, Bob and Fred trade positions. Finally, Alice and Gertrude trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) center midfielder\n(B) right winger\n(C) right midfielder\n(D) benchwarmer\n(E) cheerleader\n(F) goalkeeper\n(G) left winger", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:113", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing striker, Bob is playing right winger, Claire is playing left winger, Dave is playing benchwarmer, Eve is playing goalkeeper, Fred is playing center midfielder, and Gertrude is playing cheerleader.\nAs the game progresses, pairs of players occasionally swap positions. First, Eve and Claire trade positions. Then, nothing happens for a while (let's call it Action 1). Then, Alice and Gertrude trade positions (let's call it Action 2). Then, Alice and Gertrude discuss something (let's call it Action 3). Then, Action 2 repeats. Then, Eve and Bob trade positions (let's call it Action 4). Then, Bob and Eve trade positions (let's call it Action 5). Then, Dave and Gertrude trade positions (let's call it Action 6). Then, Gertrude and Eve trade positions (let's call it Action 7). Then, Eve and Gertrude trade positions (let's call it Action 8). Then, Gertrude and Dave trade positions (let's call it Action 9). Then, Bob and Dave trade positions (let's call it Action 10). Then, Bob and Dave discuss something (let's call it Action 11). Then, Action 10 repeats. Then, Claire and Bob trade positions (let's call it Action 12). Then, Bob and Gertrude trade positions (let's call it Action 13). Then, Gertrude and Bob trade positions (let's call it Action 14). Then, Bob and Claire trade positions (let's call it Action 15). Then, Eve and Alice trade positions (let's call it Action 16). Then, Eve and Alice discuss something (let's call it Action 17). Then, Action 16 repeats. Then, Bob and Dave trade positions. Then, Dave and Alice trade positions (let's call it Action 18). Then, Alice and Dave trade positions (let's call it Action 19). Then, Dave and Bob trade positions (let's call it Action 20). Then, nothing happens for a while. Then, Claire and Dave trade positions (let's call it Action 21). Then, Claire and Dave discuss something (let's call it Action 22). Then, Claire and Dave trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions (let's call it Action 23). Then, nothing happens for a while. Then, Fred and Gertrude trade positions (let's call it Action 24). Then, Gertrude and Claire trade positions (let's call it Action 25). Then, Claire and Gertrude trade positions (let's call it Action 26). Then, Gertrude and Fred trade positions (let's call it Action 27). Then, Fred and Eve trade positions (let's call it Action 28). Then, Eve and Fred trade positions (let's call it Action 29). Then, nothing happens for a while. Then, Alice and Eve trade positions (let's call it Action 30). Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Alice trade positions. Then, Fred and Claire trade positions (let's call it Action 31). Then, Claire and Alice trade positions (let's call it Action 32). Then, Alice and Claire trade positions (let's call it Action 33). Then, Claire and Fred trade positions (let's call it Action 34). Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve trade positions (let's call it Action 35). Then, Action 4 repeats. Then, Bob and Eve trade positions. Then, Eve and Claire trade positions (let's call it Action 36). Then, Claire and Bob trade positions. Then, Bob and Fred trade positions (let's call it Action 37). Then, Fred and Bob trade positions (let's call it Action 38). Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 39). Then, Claire and Fred trade positions. Then, Dave and Fred trade positions (let's call it Action 40). Then, Dave and Fred discuss something (let's call it Action 41). Then, Dave and Fred trade positions. Then, Eve and Alice trade positions. Then, Action 30 repeats. Then, Action 1 repeats. Then, Action 25 repeats. Then, Action 34 repeats. Then, Fred and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 34 repeats. Then, Fred and Claire trade positions. Then, Gertrude and Alice trade positions (let's call it Action 42). Then, Fred and Dave trade positions (let's call it Action 43). Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Action 40 repeats. Then, Action 20 repeats. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Dave trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions (let's call it Action 44). Then, Alice and Fred trade positions (let's call it Action 45). Then, Fred and Bob trade positions. Then, Action 1 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Action 6 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Action 30 repeats. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 1 repeats. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something (let's call it Action 46). Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Action 29 repeats. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something (let's call it Action 47). Then, Action 45 repeats. Then, Action 15 repeats. Then, Claire and Fred trade positions. Then, Action 31 repeats. Then, Claire and Bob trade positions. Then, Gertrude and Eve trade positions. Then, Action 4 repeats. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something (let's call it Action 48). Then, Action 12 repeats. Then, Action 18 repeats. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Action 19 repeats. Then, Eve and Claire trade positions. Then, Action 34 repeats. Then, Fred and Claire trade positions. Then, Claire and Eve trade positions. Then, Action 5 repeats. Then, Eve and Dave trade positions (let's call it Action 49). Then, Dave and Eve trade positions (let's call it Action 50). Then, Eve and Bob trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Action 23 repeats. Then, Action 32 repeats. Then, Action 27 repeats. Then, Action 24 repeats. Then, nothing happens for a while. Then, Action 10 repeats. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something (let's call it Action 51). Then, Action 28 repeats. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something (let's call it Action 52). Then, Gertrude and Alice trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 10 repeats. Then, Dave and Claire trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something (let's call it Action 53). Then, Claire and Eve trade positions. Then, Bob and Alice trade positions (let's call it Action 54). Then, Bob and Alice discuss something (let's call it Action 55). Then, Bob and Alice trade positions. Then, Action 42 repeats. Then, Alice and Bob trade positions (let's call it Action 56). Then, Bob and Alice trade positions. Then, Action 2 repeats. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something (let's call it Action 57). Then, Eve and Claire trade positions. Then, Action 6 repeats. Then, Dave and Gertrude discuss something (let's call it Action 58). Then, Action 6 repeats. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something (let's call it Action 59). Then, Action 15 repeats. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Action 59 repeats. Then, Bob and Claire trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something (let's call it Action 60). Then, Action 27 repeats. Then, Action 35 repeats. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, Action 42 repeats. Then, Alice and Eve trade positions. Then, Action 16 repeats. Then, Alice and Gertrude trade positions. Then, Action 1 repeats. Then, Bob and Fred trade positions. Then, Action 43 repeats. Then, Dave and Fred trade positions. Then, Action 38 repeats. Then, Action 1 repeats. Then, nothing happens for a while. Then, Action 44 repeats. Then, Fred and Alice discuss something (let's call it Action 61). Then, Fred and Alice trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Action 1 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something (let's call it Action 62). Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Action 13 repeats. Then, Gertrude and Bob trade positions. Then, Bob and Alice trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 63). Then, Action 49 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, Dave and Gertrude trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Action 54 repeats. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Action 56 repeats. Then, nothing happens for a while. Then, Action 21 repeats. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, Action 1 repeats. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Fred trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something (let's call it Action 64). Then, Dave and Claire trade positions. Then, Eve and Gertrude trade positions. Then, Action 27 repeats. Then, Action 24 repeats. Then, Gertrude and Eve trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something (let's call it Action 65). Then, Alice and Dave trade positions. Then, Action 50 repeats. Then, Dave and Eve discuss something (let's call it Action 66). Then, Dave and Eve trade positions. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Alice trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Dave and Alice trade positions. Then, Action 19 repeats. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Action 10 repeats. Then, Bob and Dave discuss something. Then, Action 10 repeats. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Action 1 repeats. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Action 29 repeats. Then, Fred and Eve trade positions. Then, Action 4 repeats. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Action 15 repeats. Then, Action 32 repeats. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Eve and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Finally, Claire and Alice trade positions. At the end of the match, Bob is playing\nOptions:\n(A) striker\n(B) right winger\n(C) left winger\n(D) benchwarmer\n(E) goalkeeper\n(F) center midfielder\n(G) cheerleader", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:116", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a blue present, Bob has a black ball, Claire has a purple present, Dave has a pink ball, Eve has a green present, Fred has a orange ball, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Bob and Alice swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something. Then, Fred and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something. Then, Fred and Bob swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Bob discuss something. Then, Alice and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, Fred and Dave swap their gifts. Then, Fred and Dave discuss something. Then, Fred and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, nothing happens for a while. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap their gifts. Then, Eve and Alice swap their gifts. Then, Eve and Alice discuss something. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something. Then, Fred and Eve swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Fred swap their gifts. Finally, Claire and Gertrude swap their gifts. At the end of the event, Alice has the\nOptions:\n(A) blue present\n(B) black ball\n(C) purple present\n(D) pink ball\n(E) green present\n(F) orange ball\n(G) yellow present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:118", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Fellowship of the Ring, Bob gets Ulysses, Claire gets Hound of the Baskervilles, Dave gets Catch-22, Eve gets The Great Gatsby, Fred gets Frankenstein, and Gertrude gets Lolita.\nAs the semester proceeds, they start trading around the new books. First, Eve and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, nothing happens for a while. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Fred and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Fred swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Gertrude and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Eve swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Eve and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Eve swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Dave and Gertrude swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Gertrude swap books. Then, Bob and Claire swap books. Then, Bob and Claire discuss something. Then, Bob and Claire swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Bob and Alice swap books. Then, Bob and Alice discuss something. Then, Bob and Alice swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, Claire and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Claire swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Dave and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Alice and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Alice and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Eve and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, Fred and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Fred swap books. Then, Bob and Claire swap books. Then, Bob and Claire discuss something. Then, Bob and Claire swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Bob and Dave swap books. Then, Claire and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Claire swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Claire swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Bob and Alice discuss something. Then, Bob and Alice swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Fred and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Fred swap books. Then, nothing happens for a while. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Gertrude swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Bob swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, Gertrude and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Gertrude swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Gertrude and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Gertrude swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Bob and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Bob swap books. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Eve and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Eve swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, Bob and Claire swap books. Then, Eve and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Eve swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Eve swap books. Then, Fred and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Fred swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Claire and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Claire swap books. Then, Alice and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Alice swap books. Then, Fred and Bob swap books. Then, Fred and Bob discuss something. Then, Fred and Bob swap books. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Gertrude swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Claire swap books. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Dave swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Alice and Claire swap books. Finally, Claire and Dave swap books. At the end of the semester, Alice has\nOptions:\n(A) The Fellowship of the Ring\n(B) Ulysses\n(C) Hound of the Baskervilles\n(D) Catch-22\n(E) The Great Gatsby\n(F) Frankenstein\n(G) Lolita", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:123", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a blue present, Bob has a green present, Claire has a brown present, Dave has a purple present, Eve has a orange ball, Fred has a pink ball, and Gertrude has a red present.\nAs the event progresses, pairs of people swap gifts. First, Eve and Claire swap their gifts. Then, Eve and Gertrude swap their gifts (let's call it Action 1). Then, Gertrude and Eve swap their gifts (let's call it Action 2). Then, Dave and Gertrude swap their gifts (let's call it Action 3). Then, Gertrude and Alice swap their gifts (let's call it Action 4). Then, Alice and Gertrude swap their gifts (let's call it Action 5). Then, Gertrude and Dave swap their gifts (let's call it Action 6). Then, Gertrude and Fred swap their gifts (let's call it Action 7). Then, Fred and Gertrude swap their gifts (let's call it Action 8). Then, nothing happens for a while (let's call it Action 9). Then, Alice and Dave swap their gifts (let's call it Action 10). Then, Dave and Alice swap their gifts (let's call it Action 11). Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something (let's call it Action 12). Then, Gertrude and Dave swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something (let's call it Action 13). Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts (let's call it Action 14). Then, Dave and Eve swap their gifts (let's call it Action 15). Then, Action 15 repeats. Then, Eve and Dave swap their gifts. Then, Alice and Bob swap their gifts (let's call it Action 16). Then, Bob and Eve swap their gifts (let's call it Action 17). Then, Eve and Bob swap their gifts (let's call it Action 18). Then, Bob and Alice swap their gifts (let's call it Action 19). Then, Alice and Claire swap their gifts (let's call it Action 20). Then, Claire and Alice swap their gifts (let's call it Action 21). Then, nothing happens for a while. Then, Action 9 repeats. Then, Bob and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Action 5 repeats. Then, Gertrude and Bob swap their gifts (let's call it Action 22). Then, Bob and Gertrude swap their gifts (let's call it Action 23). Then, Gertrude and Alice swap their gifts. Then, Fred and Eve swap their gifts (let's call it Action 24). Then, Eve and Bob swap their gifts. Then, Action 17 repeats. Then, Eve and Fred swap their gifts (let's call it Action 25). Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, Action 9 repeats. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something (let's call it Action 26). Then, Bob and Eve swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts (let's call it Action 27). Then, Dave and Fred swap their gifts (let's call it Action 28). Then, Fred and Gertrude swap their gifts. Then, Claire and Dave swap their gifts (let's call it Action 29). Then, Claire and Dave discuss something (let's call it Action 30). Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, Fred and Dave swap their gifts. Then, Dave and Bob swap their gifts (let's call it Action 31). Then, Bob and Dave swap their gifts (let's call it Action 32). Then, Action 28 repeats. Then, Action 9 repeats. Then, Action 4 repeats. Then, Gertrude and Alice discuss something (let's call it Action 33). Then, Action 4 repeats. Then, Bob and Claire swap their gifts (let's call it Action 34). Then, Bob and Claire discuss something (let's call it Action 35). Then, Bob and Claire swap their gifts. Then, Fred and Alice swap their gifts (let's call it Action 36). Then, Fred and Alice discuss something (let's call it Action 37). Then, Action 36 repeats. Then, Eve and Claire swap their gifts (let's call it Action 38). Then, Eve and Claire discuss something (let's call it Action 39). Then, Eve and Claire swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something (let's call it Action 40). Then, Action 28 repeats. Then, Bob and Claire swap their gifts. Then, Claire and Gertrude swap their gifts (let's call it Action 41). Then, Gertrude and Claire swap their gifts (let's call it Action 42). Then, Claire and Bob swap their gifts (let's call it Action 43). Then, Bob and Eve swap their gifts. Then, Action 18 repeats. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Action 28 repeats. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, Fred and Claire swap their gifts (let's call it Action 44). Then, Action 34 repeats. Then, Action 35 repeats. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 24 repeats. Then, Action 18 repeats. Then, Bob and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, nothing happens for a while. Then, Action 42 repeats. Then, Claire and Gertrude swap their gifts. Then, Action 14 repeats. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Alice and Fred swap their gifts (let's call it Action 45). Then, Alice and Fred discuss something (let's call it Action 46). Then, Alice and Fred swap their gifts. Then, Action 1 repeats. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Action 24 repeats. Then, Eve and Alice swap their gifts (let's call it Action 47). Then, Alice and Eve swap their gifts (let's call it Action 48). Then, Action 25 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, Action 9 repeats. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts (let's call it Action 49). Then, Alice and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Action 41 repeats. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Eve and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Action 25 repeats. Then, Eve and Fred discuss something (let's call it Action 50). Then, Eve and Fred swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Action 22 repeats. Then, Bob and Gertrude swap their gifts. Then, Action 2 repeats. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, Action 43 repeats. Then, Action 34 repeats. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Action 28 repeats. Then, Fred and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Action 16 repeats. Then, Bob and Alice swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Fred swap their gifts (let's call it Action 51). Then, Fred and Bob swap their gifts (let's call it Action 52). Then, Action 48 repeats. Then, Alice and Eve discuss something (let's call it Action 53). Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something (let's call it Action 54). Then, Dave and Bob swap their gifts. Then, Dave and Bob swap their gifts. Then, Action 19 repeats. Then, Action 16 repeats. Then, Action 32 repeats. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Action 32 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Action 22 repeats. Then, Bob and Gertrude swap their gifts. Then, Action 4 repeats. Then, Action 9 repeats. Then, nothing happens for a while. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something (let's call it Action 55). Then, Bob and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Eve swap their gifts (let's call it Action 56). Then, Action 38 repeats. Then, Action 49 repeats. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Action 20 repeats. Then, Dave and Fred swap their gifts. Then, Action 24 repeats. Then, Eve and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Claire swap their gifts. Then, Action 56 repeats. Then, Action 4 repeats. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Action 51 repeats. Then, Action 52 repeats. Then, Action 32 repeats. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, nothing happens for a while. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something (let's call it Action 57). Then, Bob and Gertrude swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Action 38 repeats. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Bob discuss something (let's call it Action 58). Then, Gertrude and Bob swap their gifts. Then, Action 22 repeats. Then, Bob and Gertrude swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Action 22 repeats. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something (let's call it Action 59). Then, Eve and Bob swap their gifts. Then, Dave and Alice swap their gifts. Then, Gertrude and Eve swap their gifts. Finally, Claire and Gertrude swap their gifts. At the end of the event, Claire has the\nOptions:\n(A) blue present\n(B) green present\n(C) brown present\n(D) purple present\n(E) orange ball\n(F) pink ball\n(G) red present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:126", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Ophelia, Bob is dancing with Rodrigo, Claire is dancing with Izzi, Dave is dancing with Melissa, Eve is dancing with Lola, Fred is dancing with Patrick, and Gertrude is dancing with Jamie.\nThroughout the song, the dancers often trade partners. First, Dave and Eve switch partners. Then, Dave and Fred switch partners (let's call it Action 1). Then, Fred and Dave switch partners (let's call it Action 2). Then, nothing happens for a while (let's call it Action 3). Then, Claire and Dave switch partners (let's call it Action 4). Then, Dave and Claire switch partners (let's call it Action 5). Then, Claire and Fred switch partners (let's call it Action 6). Then, Claire and Fred discuss something (let's call it Action 7). Then, Claire and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice switch partners (let's call it Action 8). Then, Dave and Alice discuss something (let's call it Action 9). Then, Action 8 repeats. Then, Claire and Dave switch partners. Then, Action 1 repeats. Then, Action 2 repeats. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners (let's call it Action 10). Then, Bob and Eve switch partners (let's call it Action 11). Then, Eve and Bob switch partners (let's call it Action 12). Then, Bob and Claire switch partners (let's call it Action 13). Then, Action 3 repeats. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Alice and Bob switch partners (let's call it Action 14). Then, Bob and Fred switch partners (let's call it Action 15). Then, Fred and Bob switch partners (let's call it Action 16). Then, Bob and Alice switch partners (let's call it Action 17). Then, Fred and Gertrude switch partners (let's call it Action 18). Then, Gertrude and Bob switch partners (let's call it Action 19). Then, Bob and Gertrude switch partners (let's call it Action 20). Then, Gertrude and Fred switch partners (let's call it Action 21). Then, Eve and Bob switch partners. Then, Eve and Bob discuss something (let's call it Action 22). Then, Eve and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude switch partners (let's call it Action 23). Then, Gertrude and Alice switch partners (let's call it Action 24). Then, Alice and Gertrude switch partners (let's call it Action 25). Then, Gertrude and Dave switch partners (let's call it Action 26). Then, Dave and Claire switch partners. Then, Dave and Claire discuss something (let's call it Action 27). Then, Dave and Claire switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something (let's call it Action 28). Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Claire and Alice switch partners (let's call it Action 29). Then, Alice and Claire switch partners (let's call it Action 30). Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something (let's call it Action 31). Then, Claire and Bob switch partners. Then, Eve and Alice switch partners (let's call it Action 32). Then, Eve and Alice discuss something (let's call it Action 33). Then, Eve and Alice switch partners. Then, Action 3 repeats. Then, Gertrude and Eve switch partners (let's call it Action 34). Then, Eve and Claire switch partners (let's call it Action 35). Then, Claire and Eve switch partners (let's call it Action 36). Then, Eve and Gertrude switch partners (let's call it Action 37). Then, Dave and Eve switch partners (let's call it Action 38). Then, Dave and Eve discuss something (let's call it Action 39). Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Action 3 repeats. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Action 14 repeats. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something (let's call it Action 40). Then, Action 23 repeats. Then, Gertrude and Claire switch partners (let's call it Action 41). Then, Gertrude and Claire discuss something (let's call it Action 42). Then, Gertrude and Claire switch partners. Then, Gertrude and Fred switch partners. Then, Action 18 repeats. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something (let's call it Action 43). Then, Action 35 repeats. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something (let's call it Action 44). Then, Bob and Claire switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something (let's call it Action 45). Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Bob and Gertrude switch partners. Then, Action 19 repeats. Then, Action 3 repeats. Then, Action 10 repeats. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Claire switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Action 37 repeats. Then, Gertrude and Eve switch partners. Then, Action 25 repeats. Then, Gertrude and Alice switch partners. Then, Action 3 repeats. Then, Action 26 repeats. Then, Action 23 repeats. Then, nothing happens for a while. Then, Fred and Eve switch partners (let's call it Action 46). Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners (let's call it Action 47). Then, Gertrude and Fred switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, Action 3 repeats. Then, Dave and Bob switch partners (let's call it Action 48). Then, Dave and Bob discuss something (let's call it Action 49). Then, Dave and Bob switch partners. Then, Action 10 repeats. Then, Action 17 repeats. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Action 15 repeats. Then, Action 16 repeats. Then, Action 17 repeats. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Fred and Alice switch partners (let's call it Action 50). Then, Fred and Alice discuss something (let's call it Action 51). Then, Fred and Alice switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, Action 3 repeats. Then, Eve and Dave switch partners (let's call it Action 52). Then, Action 23 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Eve switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners (let's call it Action 53). Then, Bob and Dave switch partners (let's call it Action 54). Then, Action 48 repeats. Then, Eve and Gertrude switch partners. Then, Action 34 repeats. Then, Fred and Dave switch partners. Then, Action 1 repeats. Then, Alice and Fred switch partners (let's call it Action 55). Then, Alice and Fred discuss something (let's call it Action 56). Then, Alice and Fred switch partners. Then, Action 3 repeats. Then, Action 46 repeats. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Action 47 repeats. Then, Action 26 repeats. Then, Dave and Gertrude switch partners. Then, Action 30 repeats. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Action 3 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Action 10 repeats. Then, Bob and Fred switch partners. Then, Action 16 repeats. Then, Claire and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 16 repeats. Then, Bob and Claire switch partners. Then, Dave and Claire switch partners. Then, Action 30 repeats. Then, Alice and Claire discuss something (let's call it Action 57). Then, Action 30 repeats. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Action 21 repeats. Then, Gertrude and Fred discuss something (let's call it Action 58). Then, Gertrude and Fred switch partners. Then, Action 3 repeats. Then, Bob and Claire switch partners. Then, Action 44 repeats. Then, Bob and Claire switch partners. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Alice switch partners. Then, Eve and Dave switch partners. Then, Action 38 repeats. Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, Dave and Gertrude switch partners. Then, Action 40 repeats. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, Action 55 repeats. Then, Fred and Eve switch partners. Then, Action 47 repeats. Then, Fred and Alice switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Action 3 repeats. Then, Gertrude and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Action 11 repeats. Then, Eve and Bob switch partners. Then, Claire and Alice switch partners. Then, Action 30 repeats. Then, Bob and Alice switch partners. Then, Action 14 repeats. Then, Bob and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 24 repeats. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Action 11 repeats. Then, Bob and Eve discuss something (let's call it Action 59). Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Action 14 repeats. Then, Bob and Dave switch partners. Then, Action 48 repeats. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Action 18 repeats. Then, Fred and Gertrude discuss something (let's call it Action 60). Then, Fred and Gertrude switch partners. Then, Action 3 repeats. Then, Action 3 repeats. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Action 17 repeats. Then, Bob and Alice discuss something (let's call it Action 61). Then, Bob and Alice switch partners. Then, Action 37 repeats. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Action 55 repeats. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something. Then, Eve and Alice switch partners. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Fred and Claire switch partners (let's call it Action 62). Then, Claire and Gertrude switch partners (let's call it Action 63). Then, Action 41 repeats. Then, Action 6 repeats. Then, Action 63 repeats. Then, Gertrude and Claire switch partners. Then, Action 13 repeats. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Action 41 repeats. Then, Action 29 repeats. Then, Alice and Claire switch partners. Then, Action 63 repeats. Then, Action 36 repeats. Then, Action 32 repeats. Then, Alice and Eve switch partners (let's call it Action 64). Then, Eve and Claire switch partners. Then, Dave and Bob switch partners. Then, Action 54 repeats. Then, nothing happens for a while. Then, Action 50 repeats. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Action 36 repeats. Then, Eve and Claire switch partners. Then, Action 50 repeats. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Claire switch partners. Then, Action 34 repeats. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 1 repeats. Then, Dave and Fred discuss something (let's call it Action 65). Then, Dave and Fred switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Dave and Eve switch partners. Then, Bob and Alice switch partners. Finally, Bob and Gertrude switch partners. At the end of the dance, Eve is dancing with\nOptions:\n(A) Ophelia\n(B) Rodrigo\n(C) Izzi\n(D) Melissa\n(E) Lola\n(F) Patrick\n(G) Jamie", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:128", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Moby Dick, Bob gets The Odyssey, Claire gets Ulysses, Dave gets The Fellowship of the Ring, Eve gets Lolita, Fred gets The Pearl, and Gertrude gets Catch-22.\nAs the semester proceeds, they start trading around the new books. First, Dave and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Dave swap books. Then, Alice and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Alice swap books. Then, Bob and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Alice and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Alice swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Claire swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Fred and Bob swap books. Then, Fred and Bob discuss something. Then, Fred and Bob swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Gertrude and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Gertrude swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Dave swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, Gertrude and Fred swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap books. Then, Fred and Bob discuss something. Then, Fred and Bob swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Claire and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Claire swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Dave swap books. Then, Alice and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Alice and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Gertrude swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Gertrude and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Gertrude swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Gertrude and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Gertrude swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Eve and Alice swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Eve swap books. Then, Fred and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Fred swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Claire and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Claire swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Fred and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Fred swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Gertrude swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Fred and Eve discuss something. Then, Fred and Eve swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Gertrude and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Eve and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Eve swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Eve and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Eve swap books. Then, Bob and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Eve swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Bob swap books. Finally, Bob and Eve swap books. At the end of the semester, Gertrude has\nOptions:\n(A) Moby Dick\n(B) The Odyssey\n(C) Ulysses\n(D) The Fellowship of the Ring\n(E) Lolita\n(F) The Pearl\n(G) Catch-22", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:134", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left midfielder, Bob is playing cheerleader, Claire is playing right winger, Dave is playing right midfielder, Eve is playing striker, Fred is playing left winger, and Gertrude is playing fullback.\nAs the game progresses, pairs of players occasionally swap positions. First, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Fred trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Alice and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Dave and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Fred and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Fred trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Claire and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Claire trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, nothing happens for a while. Then, Bob and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Dave trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Dave and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Dave trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Fred and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Fred trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Bob and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Bob trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Fred and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Eve and Claire trade positions. Finally, Alice and Gertrude trade positions. At the end of the match, Fred is playing\nOptions:\n(A) left midfielder\n(B) cheerleader\n(C) right winger\n(D) right midfielder\n(E) striker\n(F) left winger\n(G) fullback", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:137", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Pearl, Bob gets The Fellowship of the Ring, Claire gets Catch-22, Dave gets The Great Gatsby, Eve gets Frankenstein, Fred gets Ulysses, and Gertrude gets The Odyssey.\nAs the semester proceeds, they start trading around the new books. First, Gertrude and Bob swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Gertrude and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Gertrude swap books. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Dave and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Gertrude swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Bob and Gertrude swap books. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Bob and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Fred and Claire discuss something. Then, Fred and Claire swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Gertrude swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Bob and Claire swap books. Then, Bob and Claire discuss something. Then, Bob and Claire swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Eve swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Dave swap books. Then, Gertrude and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Gertrude swap books. Then, Fred and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Fred swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap books. Then, Claire and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Claire swap books. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Fred and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Bob and Claire swap books. Then, Bob and Claire discuss something. Then, Bob and Claire swap books. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Eve swap books. Then, Gertrude and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Gertrude swap books. Then, Claire and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Claire swap books. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Claire swap books. Then, Fred and Claire discuss something. Then, Fred and Claire swap books. Then, Fred and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Fred swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Eve and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Eve swap books. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, Alice and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Gertrude swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Dave swap books. Then, Claire and Dave swap books. Then, Eve and Bob swap books. Finally, Fred and Gertrude swap books. At the end of the semester, Eve has\nOptions:\n(A) The Pearl\n(B) The Fellowship of the Ring\n(C) Catch-22\n(D) The Great Gatsby\n(E) Frankenstein\n(F) Ulysses\n(G) The Odyssey", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:140", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Great Gatsby, Bob gets Frankenstein, Claire gets Moby Dick, Dave gets The Odyssey, Eve gets Lolita, Fred gets The Pearl, and Gertrude gets The Fellowship of the Ring.\nAs the semester proceeds, they start trading around the new books. First, Eve and Claire swap books. Then, Eve and Gertrude swap books (let's call it Action 1). Then, Gertrude and Eve swap books (let's call it Action 2). Then, nothing happens for a while (let's call it Action 3). Then, Fred and Alice swap books (let's call it Action 4). Then, Alice and Eve swap books (let's call it Action 5). Then, Eve and Alice swap books (let's call it Action 6). Then, Alice and Fred swap books (let's call it Action 7). Then, nothing happens for a while. Then, Alice and Claire swap books (let's call it Action 8). Then, Claire and Bob swap books (let's call it Action 9). Then, Bob and Claire swap books (let's call it Action 10). Then, Claire and Alice swap books (let's call it Action 11). Then, Bob and Dave swap books (let's call it Action 12). Then, Dave and Claire swap books (let's call it Action 13). Then, Claire and Dave swap books (let's call it Action 14). Then, Dave and Bob swap books (let's call it Action 15). Then, Eve and Fred swap books (let's call it Action 16). Then, Fred and Eve swap books (let's call it Action 17). Then, Claire and Eve swap books (let's call it Action 18). Then, Eve and Bob swap books (let's call it Action 19). Then, Bob and Eve swap books (let's call it Action 20). Then, Eve and Claire swap books (let's call it Action 21). Then, Action 6 repeats. Then, Eve and Alice discuss something (let's call it Action 22). Then, Eve and Alice swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Dave and Alice swap books (let's call it Action 23). Then, Dave and Alice discuss something (let's call it Action 24). Then, Action 23 repeats. Then, Claire and Gertrude swap books (let's call it Action 25). Then, Claire and Gertrude discuss something (let's call it Action 26). Then, Claire and Gertrude swap books. Then, Fred and Bob swap books (let's call it Action 27). Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books (let's call it Action 28). Then, Claire and Eve swap books. Then, Claire and Eve discuss something (let's call it Action 29). Then, Claire and Eve swap books. Then, Action 3 repeats. Then, Dave and Bob swap books. Then, Action 12 repeats. Then, Claire and Dave swap books. Then, Action 13 repeats. Then, Action 23 repeats. Then, Alice and Dave swap books (let's call it Action 30). Then, Eve and Dave swap books (let's call it Action 31). Then, Eve and Dave discuss something (let's call it Action 32). Then, Action 31 repeats. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Action 30 repeats. Then, Dave and Gertrude swap books (let's call it Action 33). Then, Gertrude and Dave swap books (let's call it Action 34). Then, Dave and Alice swap books. Then, Fred and Claire swap books (let's call it Action 35). Then, Dave and Bob swap books. Then, Bob and Alice swap books (let's call it Action 36). Then, Alice and Bob swap books (let's call it Action 37). Then, Bob and Dave swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something (let's call it Action 38). Then, Eve and Gertrude swap books. Then, Action 11 repeats. Then, Claire and Alice discuss something (let's call it Action 39). Then, Claire and Alice swap books. Then, Fred and Dave swap books (let's call it Action 40). Then, Fred and Dave discuss something (let's call it Action 41). Then, Action 40 repeats. Then, Action 40 repeats. Then, Dave and Fred swap books (let's call it Action 42). Then, Gertrude and Claire swap books (let's call it Action 43). Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Action 16 repeats. Then, Action 4 repeats. Then, Alice and Fred swap books. Then, Action 17 repeats. Then, Claire and Fred swap books (let's call it Action 44). Then, Fred and Bob swap books. Then, Action 28 repeats. Then, Fred and Claire swap books. Then, Dave and Fred swap books. Then, Dave and Fred discuss something (let's call it Action 45). Then, Dave and Fred swap books. Then, Alice and Eve swap books. Then, Action 6 repeats. Then, nothing happens for a while. Then, Action 2 repeats. Then, Gertrude and Eve discuss something (let's call it Action 46). Then, Action 2 repeats. Then, nothing happens for a while. Then, Action 44 repeats. Then, Fred and Gertrude swap books (let's call it Action 47). Then, Gertrude and Fred swap books (let's call it Action 48). Then, Fred and Claire swap books. Then, Dave and Bob swap books. Then, Action 28 repeats. Then, Fred and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Claire and Alice swap books. Then, Action 39 repeats. Then, Claire and Alice swap books. Then, Bob and Gertrude swap books (let's call it Action 49). Then, Gertrude and Bob swap books (let's call it Action 50). Then, Action 10 repeats. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Bob swap books. Then, nothing happens for a while. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something (let's call it Action 51). Then, Alice and Fred swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Gertrude and Bob swap books. Then, Action 49 repeats. Then, Bob and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Bob swap books. Then, Alice and Fred swap books. Then, Action 47 repeats. Then, Gertrude and Fred swap books. Then, Action 4 repeats. Then, Bob and Gertrude swap books. Then, Action 48 repeats. Then, Gertrude and Fred discuss something (let's call it Action 52). Then, Gertrude and Fred swap books. Then, Eve and Bob swap books. Then, Eve and Bob discuss something (let's call it Action 53). Then, Eve and Bob swap books. Then, nothing happens for a while. Then, Action 1 repeats. Then, Action 50 repeats. Then, Bob and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Action 49 repeats. Then, Action 31 repeats. Then, Dave and Fred swap books. Then, Action 40 repeats. Then, Dave and Eve swap books (let's call it Action 54). Then, Action 50 repeats. Then, Bob and Dave swap books. Then, Action 15 repeats. Then, Action 49 repeats. Then, Fred and Alice swap books. Then, Alice and Dave swap books. Then, Action 23 repeats. Then, Alice and Fred swap books. Then, Bob and Dave swap books. Then, Action 13 repeats. Then, Action 14 repeats. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Action 30 repeats. Then, Dave and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Action 33 repeats. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Action 17 repeats. Then, Action 54 repeats. Then, Action 16 repeats. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Claire and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Action 21 repeats. Then, Action 49 repeats. Then, Bob and Gertrude discuss something (let's call it Action 55). Then, Bob and Gertrude swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Alice and Fred swap books. Then, Action 51 repeats. Then, Alice and Fred swap books. Then, Action 19 repeats. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Action 30 repeats. Then, Dave and Alice swap books. Then, Action 30 repeats. Then, Alice and Dave discuss something (let's call it Action 56). Then, Alice and Dave swap books. Then, Bob and Alice swap books. Then, Action 37 repeats. Then, Fred and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Action 42 repeats. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Action 21 repeats. Then, Eve and Claire discuss something (let's call it Action 57). Then, Action 21 repeats. Then, Alice and Gertrude swap books (let's call it Action 58). Then, Gertrude and Alice swap books (let's call it Action 59). Then, Action 12 repeats. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Fred swap books. Then, Action 27 repeats. Then, Action 3 repeats. Then, Alice and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Alice swap books. Then, Action 3 repeats. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Action 15 repeats. Then, Bob and Gertrude swap books. Then, Action 50 repeats. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Action 28 repeats. Then, Fred and Bob swap books. Then, Bob and Dave swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Dave and Fred swap books. Then, Action 40 repeats. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Action 3 repeats. Then, Bob and Fred swap books. Then, Bob and Fred discuss something (let's call it Action 60). Then, Bob and Fred swap books. Then, nothing happens for a while. Then, Action 3 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Claire swap books. Then, Bob and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Bob swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something (let's call it Action 61). Then, Gertrude and Bob swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something (let's call it Action 62). Then, Gertrude and Dave swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Eve and Dave swap books. Then, Dave and Fred swap books. Then, Action 40 repeats. Then, Dave and Eve swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Action 25 repeats. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Bob and Claire swap books. Then, Bob and Claire discuss something (let's call it Action 63). Then, Action 10 repeats. Then, Action 48 repeats. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Fred swap books. Then, Action 17 repeats. Then, Fred and Eve discuss something (let's call it Action 64). Then, Fred and Eve swap books. Then, Action 14 repeats. Then, Bob and Gertrude swap books. Finally, Eve and Bob swap books. At the end of the semester, Eve has\nOptions:\n(A) The Great Gatsby\n(B) Frankenstein\n(C) Moby Dick\n(D) The Odyssey\n(E) Lolita\n(F) The Pearl\n(G) The Fellowship of the Ring", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:146", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a purple ball, Bob has a blue ball, Claire has a yellow ball, Dave has a brown ball, Eve has a black ball, Fred has a white ball, and Gertrude has a orange ball.\nAs the game progresses, pairs of players trade balls. First, Dave and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Fred swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Fred swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Bob swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, Claire and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Bob and Claire swap balls. Finally, Bob and Alice swap balls. At the end of the game, Gertrude has the\nOptions:\n(A) purple ball\n(B) blue ball\n(C) yellow ball\n(D) brown ball\n(E) black ball\n(F) white ball\n(G) orange ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:148", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Great Gatsby, Bob gets Catch-22, Claire gets The Fellowship of the Ring, Dave gets Ulysses, Eve gets Frankenstein, Fred gets The Pearl, and Gertrude gets The Odyssey.\nAs the semester proceeds, they start trading around the new books. First, Fred and Alice swap books. Then, Dave and Gertrude swap books (let's call it Action 1). Then, Gertrude and Dave swap books (let's call it Action 2). Then, Claire and Dave swap books (let's call it Action 3). Then, Claire and Dave discuss something (let's call it Action 4). Then, Claire and Dave swap books. Then, nothing happens for a while (let's call it Action 5). Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Fred and Bob swap books (let's call it Action 6). Then, Bob and Fred swap books (let's call it Action 7). Then, Gertrude and Fred swap books (let's call it Action 8). Then, Fred and Gertrude swap books (let's call it Action 9). Then, nothing happens for a while. Then, Claire and Eve swap books (let's call it Action 10). Then, Eve and Claire swap books (let's call it Action 11). Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Bob swap books (let's call it Action 12). Then, Bob and Alice swap books (let's call it Action 13). Then, Alice and Dave swap books (let's call it Action 14). Then, Alice and Dave discuss something (let's call it Action 15). Then, Action 14 repeats. Then, Bob and Gertrude swap books (let's call it Action 16). Then, Gertrude and Bob swap books (let's call it Action 17). Then, Dave and Bob swap books (let's call it Action 18). Then, Bob and Dave swap books (let's call it Action 19). Then, Action 5 repeats. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something (let's call it Action 20). Then, Action 2 repeats. Then, nothing happens for a while. Then, Dave and Eve swap books (let's call it Action 21). Then, Dave and Eve discuss something (let's call it Action 22). Then, Dave and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap books (let's call it Action 23). Then, Gertrude and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Alice swap books (let's call it Action 24). Then, Dave and Fred swap books (let's call it Action 25). Then, Fred and Alice swap books (let's call it Action 26). Then, Alice and Fred swap books (let's call it Action 27). Then, Fred and Dave swap books (let's call it Action 28). Then, Alice and Claire swap books (let's call it Action 29). Then, Claire and Gertrude swap books (let's call it Action 30). Then, Gertrude and Claire swap books (let's call it Action 31). Then, Claire and Alice swap books (let's call it Action 32). Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Action 27 repeats. Then, Action 26 repeats. Then, Action 14 repeats. Then, Dave and Alice swap books (let's call it Action 33). Then, Alice and Fred swap books. Then, Action 27 repeats. Then, Fred and Alice swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Eve swap books (let's call it Action 34). Then, Eve and Gertrude swap books (let's call it Action 35). Then, Gertrude and Bob swap books. Then, Action 5 repeats. Then, Eve and Bob swap books (let's call it Action 36). Then, Bob and Alice swap books. Then, Action 12 repeats. Then, Bob and Eve swap books (let's call it Action 37). Then, Claire and Dave swap books. Then, Dave and Claire swap books (let's call it Action 38). Then, nothing happens for a while. Then, Action 34 repeats. Then, Gertrude and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Action 16 repeats. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something (let's call it Action 39). Then, Gertrude and Fred swap books. Then, Action 2 repeats. Then, Action 1 repeats. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something (let's call it Action 40). Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Gertrude swap books. Then, Action 12 repeats. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Action 13 repeats. Then, Gertrude and Dave swap books. Then, Action 20 repeats. Then, Gertrude and Dave swap books. Then, Eve and Fred swap books (let's call it Action 41). Then, Fred and Alice swap books. Then, Action 27 repeats. Then, Fred and Eve swap books (let's call it Action 42). Then, Claire and Fred swap books (let's call it Action 43). Then, Fred and Claire swap books (let's call it Action 44). Then, Dave and Eve swap books. Then, Eve and Dave swap books (let's call it Action 45). Then, Bob and Eve swap books. Then, Bob and Eve discuss something (let's call it Action 46). Then, Bob and Eve swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Action 14 repeats. Then, Dave and Alice swap books. Then, Gertrude and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Gertrude swap books. Then, Action 14 repeats. Then, Alice and Dave discuss something. Then, Action 14 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Action 10 repeats. Then, Eve and Claire swap books. Then, Action 43 repeats. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, Bob and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave swap books. Then, Bob and Dave discuss something (let's call it Action 47). Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Action 13 repeats. Then, Action 43 repeats. Then, Claire and Fred discuss something (let's call it Action 48). Then, Claire and Fred swap books. Then, Action 5 repeats. Then, nothing happens for a while. Then, Action 41 repeats. Then, Fred and Claire swap books. Then, Action 43 repeats. Then, Action 42 repeats. Then, Action 26 repeats. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Action 27 repeats. Then, Alice and Claire swap books. Then, Alice and Claire discuss something (let's call it Action 49). Then, Alice and Claire swap books. Then, Action 5 repeats. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Action 31 repeats. Then, Gertrude and Claire discuss something (let's call it Action 50). Then, Action 31 repeats. Then, nothing happens for a while. Then, Action 5 repeats. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Claire and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Dave and Fred discuss something (let's call it Action 51). Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, Fred and Eve discuss something (let's call it Action 52). Then, Fred and Eve swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Alice and Eve swap books (let's call it Action 53). Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Alice swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Action 44 repeats. Then, Claire and Fred swap books. Then, Action 42 repeats. Then, Action 5 repeats. Then, Fred and Eve swap books. Then, Action 35 repeats. Then, Gertrude and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something (let's call it Action 54). Then, Action 9 repeats. Then, Action 25 repeats. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Alice and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books. Then, Bob and Gertrude swap books. Then, Bob and Gertrude discuss something (let's call it Action 55). Then, Bob and Gertrude swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Gertrude and Eve swap books. Then, Action 35 repeats. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something (let's call it Action 56). Then, Eve and Gertrude swap books. Then, Action 5 repeats. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Action 14 repeats. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Claire and Bob swap books (let's call it Action 57). Then, Bob and Eve swap books. Then, Action 36 repeats. Then, Bob and Claire swap books (let's call it Action 58). Then, Action 35 repeats. Then, Gertrude and Eve swap books. Then, nothing happens for a while. Then, Fred and Dave swap books. Then, Action 21 repeats. Then, Eve and Dave swap books. Then, Action 25 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 37 repeats. Then, Eve and Bob swap books. Then, Action 5 repeats. Then, Dave and Gertrude swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Alice and Bob swap books. Then, Bob and Fred swap books. Then, Action 6 repeats. Then, Bob and Alice swap books. Then, Action 37 repeats. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Dave and Alice swap books. Then, Action 14 repeats. Then, Action 38 repeats. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something (let's call it Action 59). Then, Claire and Gertrude swap books. Then, Action 28 repeats. Then, Fred and Dave discuss something (let's call it Action 60). Then, Action 28 repeats. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Action 7 repeats. Then, Action 6 repeats. Then, Action 13 repeats. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something (let's call it Action 61). Then, Dave and Claire swap books. Then, Dave and Gertrude swap books. Then, Action 8 repeats. Then, Action 9 repeats. Then, Gertrude and Dave swap books. Then, nothing happens for a while. Then, Eve and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Bob and Gertrude swap books. Then, Action 55 repeats. Then, Bob and Gertrude swap books. Then, Claire and Alice swap books. Then, Action 29 repeats. Then, Dave and Alice swap books. Then, Alice and Fred swap books. Then, Action 26 repeats. Then, Action 14 repeats. Then, Action 18 repeats. Then, Bob and Dave swap books. Then, Bob and Alice swap books. Then, Alice and Gertrude swap books. Then, Action 24 repeats. Then, Alice and Bob swap books. Then, Gertrude and Dave swap books. Then, Action 18 repeats. Then, Bob and Dave swap books. Then, Action 1 repeats. Then, Bob and Eve swap books. Then, Bob and Eve discuss something. Then, Bob and Eve swap books. Then, Bob and Alice swap books. Then, Action 12 repeats. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Action 5 repeats. Then, Claire and Dave swap books. Then, Dave and Alice swap books. Then, Action 14 repeats. Then, Dave and Claire swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Gertrude and Claire swap books. Then, Alice and Claire swap books. Finally, Dave and Bob swap books. At the end of the semester, Bob has\nOptions:\n(A) The Great Gatsby\n(B) Catch-22\n(C) The Fellowship of the Ring\n(D) Ulysses\n(E) Frankenstein\n(F) The Pearl\n(G) The Odyssey", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:150", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Pearl, Bob gets The Great Gatsby, Claire gets Lolita, Dave gets Ulysses, Eve gets Frankenstein, Fred gets Moby Dick, and Gertrude gets The Odyssey.\nAs the semester proceeds, they start trading around the new books. First, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap books. Then, Claire and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Claire swap books. Then, Bob and Alice swap books. Then, Bob and Alice discuss something. Then, Bob and Alice swap books. Then, Fred and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Fred swap books. Then, nothing happens for a while. Then, Gertrude and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Dave and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Bob and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Bob and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Claire swap books. Then, Eve and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Alice and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Alice swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, nothing happens for a while. Then, Fred and Claire swap books. Then, Fred and Claire discuss something. Then, Fred and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, Eve and Gertrude swap books. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Eve and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Gertrude and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Gertrude swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap books. Then, Dave and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Dave swap books. Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Fred and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Dave and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Dave swap books. Then, Claire and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Claire swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Fred and Gertrude swap books. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Alice and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Alice swap books. Then, Eve and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Eve swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Gertrude swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, nothing happens for a while. Then, Eve and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Dave and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Alice and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Alice swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Bob and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Bob and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Bob swap books. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Eve swap books. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Bob and Claire swap books. Then, Bob and Claire discuss something. Then, Bob and Claire swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Eve and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Claire and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Alice and Gertrude swap books. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Dave and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Dave swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Bob swap books. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Fred swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Claire and Gertrude swap books. Finally, Fred and Eve swap books. At the end of the semester, Dave has\nOptions:\n(A) The Pearl\n(B) The Great Gatsby\n(C) Lolita\n(D) Ulysses\n(E) Frankenstein\n(F) Moby Dick\n(G) The Odyssey", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:151", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Sam, Bob is dancing with Rodrigo, Claire is dancing with Jamie, Dave is dancing with Lola, Eve is dancing with Helga, Fred is dancing with Melissa, and Gertrude is dancing with Ophelia.\nThroughout the song, the dancers often trade partners. First, Bob and Dave switch partners. Then, Claire and Bob switch partners (let's call it Action 1). Then, Bob and Claire switch partners (let's call it Action 2). Then, Claire and Fred switch partners (let's call it Action 3). Then, Fred and Dave switch partners (let's call it Action 4). Then, Dave and Fred switch partners (let's call it Action 5). Then, Fred and Claire switch partners (let's call it Action 6). Then, nothing happens for a while (let's call it Action 7). Then, Action 7 repeats. Then, Eve and Fred switch partners (let's call it Action 8). Then, Fred and Alice switch partners (let's call it Action 9). Then, Alice and Fred switch partners (let's call it Action 10). Then, Fred and Eve switch partners (let's call it Action 11). Then, Gertrude and Fred switch partners (let's call it Action 12). Then, Gertrude and Fred discuss something (let's call it Action 13). Then, Gertrude and Fred switch partners. Then, Dave and Eve switch partners (let's call it Action 14). Then, Eve and Dave switch partners (let's call it Action 15). Then, nothing happens for a while. Then, Dave and Gertrude switch partners (let's call it Action 16). Then, Dave and Gertrude discuss something (let's call it Action 17). Then, Dave and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Action 8 repeats. Then, Alice and Eve switch partners (let's call it Action 18). Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners (let's call it Action 19). Then, Action 7 repeats. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something (let's call it Action 20). Then, Action 8 repeats. Then, Action 7 repeats. Then, Action 7 repeats. Then, Claire and Dave switch partners (let's call it Action 21). Then, Action 16 repeats. Then, Gertrude and Dave switch partners (let's call it Action 22). Then, Dave and Claire switch partners (let's call it Action 23). Then, nothing happens for a while. Then, Dave and Alice switch partners (let's call it Action 24). Then, Alice and Gertrude switch partners (let's call it Action 25). Then, Gertrude and Alice switch partners (let's call it Action 26). Then, Alice and Dave switch partners (let's call it Action 27). Then, Gertrude and Eve switch partners (let's call it Action 28). Then, Eve and Gertrude switch partners (let's call it Action 29). Then, Dave and Bob switch partners (let's call it Action 30). Then, Bob and Dave switch partners (let's call it Action 31). Then, Fred and Dave switch partners. Then, Action 14 repeats. Then, Action 15 repeats. Then, Dave and Fred switch partners. Then, Action 10 repeats. Then, Fred and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something (let's call it Action 32). Then, Action 29 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 27 repeats. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something (let's call it Action 33). Then, Gertrude and Alice switch partners. Then, Action 26 repeats. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Fred and Gertrude switch partners (let's call it Action 34). Then, Gertrude and Fred switch partners. Then, Fred and Bob switch partners (let's call it Action 35). Then, Fred and Bob discuss something (let's call it Action 36). Then, Fred and Bob switch partners. Then, nothing happens for a while. Then, Action 34 repeats. Then, Gertrude and Fred switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something (let's call it Action 37). Then, Action 10 repeats. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Eve and Claire switch partners (let's call it Action 38). Then, Eve and Claire discuss something (let's call it Action 39). Then, Action 38 repeats. Then, Action 7 repeats. Then, nothing happens for a while. Then, Action 7 repeats. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something (let's call it Action 40). Then, Fred and Eve switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Bob and Eve switch partners (let's call it Action 41). Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners (let's call it Action 42). Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something (let's call it Action 43). Then, Alice and Gertrude switch partners. Then, Action 7 repeats. Then, nothing happens for a while. Then, Action 23 repeats. Then, Claire and Dave switch partners. Then, Bob and Eve switch partners. Then, Action 42 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 15 repeats. Then, Eve and Dave discuss something (let's call it Action 44). Then, Action 15 repeats. Then, Action 7 repeats. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Action 7 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, Alice and Claire switch partners (let's call it Action 45). Then, Claire and Alice switch partners (let's call it Action 46). Then, Alice and Fred switch partners. Then, Claire and Gertrude switch partners (let's call it Action 47). Then, Claire and Gertrude discuss something (let's call it Action 48). Then, Action 47 repeats. Then, Claire and Eve switch partners (let's call it Action 49). Then, nothing happens for a while. Then, Action 3 repeats. Then, Fred and Claire switch partners. Then, Action 7 repeats. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Action 46 repeats. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Action 41 repeats. Then, Action 38 repeats. Then, Claire and Eve switch partners. Then, Eve and Bob switch partners. Then, Gertrude and Claire switch partners (let's call it Action 50). Then, Action 49 repeats. Then, Eve and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Action 14 repeats. Then, Dave and Eve discuss something (let's call it Action 51). Then, Dave and Eve switch partners. Then, Bob and Alice switch partners (let's call it Action 52). Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners (let's call it Action 53). Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, Action 41 repeats. Then, Eve and Fred switch partners. Then, Alice and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Alice switch partners. Then, Claire and Dave switch partners. Then, Claire and Dave discuss something (let's call it Action 54). Then, Claire and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Alice switch partners. Then, Gertrude and Bob switch partners (let's call it Action 55). Then, Gertrude and Bob discuss something (let's call it Action 56). Then, Gertrude and Bob switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something (let's call it Action 57). Then, Action 28 repeats. Then, nothing happens for a while. Then, Bob and Eve switch partners. Then, Action 38 repeats. Then, Claire and Eve switch partners. Then, Action 42 repeats. Then, Action 7 repeats. Then, Alice and Gertrude switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something (let's call it Action 58). Then, Alice and Bob switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something (let's call it Action 59). Then, Fred and Claire switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Action 3 repeats. Then, Action 34 repeats. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Action 11 repeats. Then, Bob and Dave switch partners. Then, Action 23 repeats. Then, Action 21 repeats. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something (let's call it Action 60). Then, Bob and Dave switch partners. Then, Action 38 repeats. Then, Action 49 repeats. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Action 53 repeats. Then, nothing happens for a while. Then, Action 52 repeats. Then, Action 45 repeats. Then, Claire and Alice switch partners. Then, Action 53 repeats. Then, Action 55 repeats. Then, Bob and Fred switch partners (let's call it Action 61). Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners (let's call it Action 62). Then, Action 7 repeats. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something (let's call it Action 63). Then, Eve and Bob switch partners. Then, Dave and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something (let's call it Action 64). Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Action 61 repeats. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Action 27 repeats. Then, Action 7 repeats. Then, Action 5 repeats. Then, Dave and Fred discuss something (let's call it Action 65). Then, Dave and Fred switch partners. Then, Action 61 repeats. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Action 35 repeats. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something (let's call it Action 66). Then, Alice and Claire switch partners. Then, Action 45 repeats. Then, Action 66 repeats. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Action 53 repeats. Then, Bob and Fred switch partners. Finally, Fred and Eve switch partners. At the end of the dance, Fred is dancing with\nOptions:\n(A) Sam\n(B) Rodrigo\n(C) Jamie\n(D) Lola\n(E) Helga\n(F) Melissa\n(G) Ophelia", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:153", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left midfielder, Bob is playing right midfielder, Claire is playing striker, Dave is playing fullback, Eve is playing center midfielder, Fred is playing benchwarmer, and Gertrude is playing right winger.\nAs the game progresses, pairs of players occasionally swap positions. First, Gertrude and Bob trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Bob trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Fred and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Eve and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Fred trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Claire and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Claire trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Eve and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Alice and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Alice trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Dave and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Dave trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve trade positions. Then, Alice and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Alice trade positions. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Dave trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Dave and Bob trade positions. Finally, Gertrude and Alice trade positions. At the end of the match, Claire is playing\nOptions:\n(A) left midfielder\n(B) right midfielder\n(C) striker\n(D) fullback\n(E) center midfielder\n(F) benchwarmer\n(G) right winger", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:155", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left midfielder, Bob is playing cheerleader, Claire is playing right winger, Dave is playing striker, Eve is playing center midfielder, Fred is playing fullback, and Gertrude is playing benchwarmer.\nAs the game progresses, pairs of players occasionally swap positions. First, Gertrude and Alice trade positions. Then, Gertrude and Fred trade positions (let's call it Action 1). Then, Fred and Gertrude trade positions (let's call it Action 2). Then, nothing happens for a while (let's call it Action 3). Then, nothing happens for a while. Then, Alice and Claire trade positions (let's call it Action 4). Then, Claire and Alice trade positions (let's call it Action 5). Then, Eve and Gertrude trade positions (let's call it Action 6). Then, Gertrude and Bob trade positions (let's call it Action 7). Then, Bob and Gertrude trade positions (let's call it Action 8). Then, Gertrude and Eve trade positions (let's call it Action 9). Then, Claire and Dave trade positions (let's call it Action 10). Then, Dave and Alice trade positions (let's call it Action 11). Then, Alice and Dave trade positions (let's call it Action 12). Then, Dave and Claire trade positions (let's call it Action 13). Then, Claire and Eve trade positions (let's call it Action 14). Then, Eve and Dave trade positions (let's call it Action 15). Then, Dave and Eve trade positions (let's call it Action 16). Then, Eve and Claire trade positions (let's call it Action 17). Then, Action 3 repeats. Then, Action 7 repeats. Then, Bob and Fred trade positions (let's call it Action 18). Then, Fred and Bob trade positions (let's call it Action 19). Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Alice and Gertrude trade positions (let's call it Action 20). Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Alice trade positions (let's call it Action 21). Then, nothing happens for a while. Then, Action 3 repeats. Then, Action 8 repeats. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Action 3 repeats. Then, nothing happens for a while. Then, Fred and Dave trade positions (let's call it Action 22). Then, Fred and Dave discuss something (let's call it Action 23). Then, Fred and Dave trade positions. Then, Claire and Fred trade positions (let's call it Action 24). Then, Fred and Eve trade positions (let's call it Action 25). Then, Eve and Fred trade positions (let's call it Action 26). Then, Fred and Claire trade positions (let's call it Action 27). Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something (let's call it Action 28). Then, Gertrude and Eve trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something (let's call it Action 29). Then, Action 5 repeats. Then, Bob and Dave trade positions (let's call it Action 30). Then, Dave and Bob trade positions (let's call it Action 31). Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something (let's call it Action 32). Then, Gertrude and Alice trade positions. Then, Action 6 repeats. Then, Gertrude and Eve trade positions. Then, Bob and Claire trade positions (let's call it Action 33). Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions (let's call it Action 34). Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 35). Then, Action 15 repeats. Then, Alice and Fred trade positions (let's call it Action 36). Then, Fred and Alice trade positions (let's call it Action 37). Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something (let's call it Action 38). Then, Alice and Gertrude trade positions. Then, Eve and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Action 25 repeats. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Dave and Gertrude trade positions (let's call it Action 39). Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude trade positions. Then, Action 33 repeats. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Action 25 repeats. Then, Fred and Eve discuss something (let's call it Action 40). Then, Fred and Eve trade positions. Then, Gertrude and Claire trade positions (let's call it Action 41). Then, Gertrude and Claire discuss something (let's call it Action 42). Then, Gertrude and Claire trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something (let's call it Action 43). Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve trade positions (let's call it Action 44). Then, Eve and Alice trade positions (let's call it Action 45). Then, Gertrude and Alice trade positions. Then, Action 32 repeats. Then, Gertrude and Alice trade positions. Then, Dave and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Bob and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Eve and Bob trade positions (let's call it Action 46). Then, Bob and Eve trade positions (let's call it Action 47). Then, nothing happens for a while. Then, Gertrude and Dave trade positions (let's call it Action 48). Then, Dave and Eve trade positions. Then, Action 15 repeats. Then, Dave and Gertrude trade positions. Then, Action 3 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions (let's call it Action 49). Then, Bob and Alice trade positions (let's call it Action 50). Then, Alice and Eve trade positions. Then, Action 13 repeats. Then, Dave and Claire discuss something (let's call it Action 51). Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Action 20 repeats. Then, Action 21 repeats. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Action 7 repeats. Then, Fred and Eve trade positions. Then, Action 26 repeats. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Fred and Alice trade positions. Then, Alice and Claire trade positions. Then, Action 5 repeats. Then, Action 36 repeats. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions (let's call it Action 52). Then, Claire and Dave trade positions. Then, Action 13 repeats. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Action 39 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 21 repeats. Then, Alice and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Action 45 repeats. Then, Alice and Eve trade positions. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions (let's call it Action 53). Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Action 25 repeats. Then, Alice and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Action 5 repeats. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something (let's call it Action 54). Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Action 26 repeats. Then, Fred and Gertrude trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Action 33 repeats. Then, Action 34 repeats. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Fred and Bob trade positions. Then, Action 18 repeats. Then, Bob and Claire trade positions. Then, Action 34 repeats. Then, Action 46 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Action 47 repeats. Then, Bob and Eve discuss something (let's call it Action 55). Then, Action 47 repeats. Then, Action 45 repeats. Then, Alice and Eve trade positions. Then, Action 2 repeats. Then, Fred and Gertrude discuss something (let's call it Action 56). Then, Fred and Gertrude trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Eve and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Eve trade positions. Then, Action 22 repeats. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, Action 33 repeats. Then, Bob and Claire discuss something (let's call it Action 57). Then, Bob and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something (let's call it Action 58). Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Action 44 repeats. Then, Action 45 repeats. Then, Action 12 repeats. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Action 31 repeats. Then, Dave and Bob discuss something (let's call it Action 59). Then, Dave and Bob trade positions. Then, Alice and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Alice trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 17 repeats. Then, Action 9 repeats. Then, Eve and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Dave and Alice trade positions. Then, Action 12 repeats. Then, Alice and Eve trade positions. Then, Action 15 repeats. Then, Dave and Eve trade positions. Then, Action 45 repeats. Then, Alice and Claire trade positions. Then, Claire and Dave trade positions. Then, Action 13 repeats. Then, Action 5 repeats. Then, Action 39 repeats. Then, Action 58 repeats. Then, Action 39 repeats. Then, Action 50 repeats. Then, Bob and Alice discuss something (let's call it Action 60). Then, Bob and Alice trade positions. Then, Action 11 repeats. Then, Dave and Alice discuss something (let's call it Action 61). Then, Dave and Alice trade positions. Then, Claire and Eve trade positions. Then, Action 26 repeats. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Action 3 repeats. Then, Gertrude and Alice trade positions. Then, Action 20 repeats. Then, Dave and Bob trade positions. Then, Action 30 repeats. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, Action 13 repeats. Then, Action 51 repeats. Then, Action 13 repeats. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Action 12 repeats. Then, Alice and Dave discuss something (let's call it Action 62). Then, Action 12 repeats. Then, Alice and Claire trade positions. Then, Claire and Eve trade positions. Then, Action 17 repeats. Then, Claire and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Claire and Gertrude trade positions. Finally, Fred and Alice trade positions. At the end of the match, Eve is playing\nOptions:\n(A) left midfielder\n(B) cheerleader\n(C) right winger\n(D) striker\n(E) center midfielder\n(F) fullback\n(G) benchwarmer", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:156", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a black ball, Bob has a orange ball, Claire has a pink ball, Dave has a yellow ball, Eve has a blue ball, Fred has a red ball, and Gertrude has a brown ball.\nAs the game progresses, pairs of players trade balls. First, Fred and Bob swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Dave swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Claire and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Eve swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Alice and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Eve swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Fred and Dave swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Claire swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Bob and Dave swap balls. Finally, Eve and Fred swap balls. At the end of the game, Gertrude has the\nOptions:\n(A) black ball\n(B) orange ball\n(C) pink ball\n(D) yellow ball\n(E) blue ball\n(F) red ball\n(G) brown ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:158", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Helga, Bob is dancing with Patrick, Claire is dancing with Jamie, Dave is dancing with Karl, Eve is dancing with Ophelia, Fred is dancing with Izzi, and Gertrude is dancing with Melissa.\nThroughout the song, the dancers often trade partners. First, Gertrude and Claire switch partners. Then, Gertrude and Dave switch partners (let's call it Action 1). Then, Dave and Gertrude switch partners (let's call it Action 2). Then, Eve and Alice switch partners (let's call it Action 3). Then, Alice and Fred switch partners (let's call it Action 4). Then, Fred and Alice switch partners (let's call it Action 5). Then, Alice and Eve switch partners (let's call it Action 6). Then, Gertrude and Eve switch partners (let's call it Action 7). Then, Gertrude and Eve discuss something (let's call it Action 8). Then, Action 7 repeats. Then, Bob and Claire switch partners (let's call it Action 9). Then, Claire and Bob switch partners (let's call it Action 10). Then, Dave and Claire switch partners (let's call it Action 11). Then, Claire and Fred switch partners (let's call it Action 12). Then, Fred and Claire switch partners (let's call it Action 13). Then, Claire and Dave switch partners (let's call it Action 14). Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Eve and Fred switch partners (let's call it Action 15). Then, Eve and Fred discuss something (let's call it Action 16). Then, Action 15 repeats. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something (let's call it Action 17). Then, Alice and Eve switch partners. Then, Bob and Eve switch partners (let's call it Action 18). Then, Bob and Eve discuss something (let's call it Action 19). Then, Action 18 repeats. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners (let's call it Action 20). Then, Alice and Claire switch partners (let's call it Action 21). Then, Action 10 repeats. Then, Eve and Dave switch partners (let's call it Action 22). Then, Eve and Dave discuss something (let's call it Action 23). Then, Eve and Dave switch partners. Then, Eve and Claire switch partners (let's call it Action 24). Then, Eve and Claire discuss something (let's call it Action 25). Then, Action 24 repeats. Then, Eve and Bob switch partners (let's call it Action 26). Then, Eve and Bob discuss something (let's call it Action 27). Then, Action 26 repeats. Then, Action 2 repeats. Then, Dave and Gertrude discuss something (let's call it Action 28). Then, Dave and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners (let's call it Action 29). Then, Alice and Bob switch partners (let's call it Action 30). Then, Alice and Bob discuss something (let's call it Action 31). Then, Alice and Bob switch partners. Then, Dave and Bob switch partners (let's call it Action 32). Then, Dave and Bob discuss something (let's call it Action 33). Then, Action 32 repeats. Then, nothing happens for a while (let's call it Action 34). Then, Eve and Bob switch partners. Then, Action 18 repeats. Then, Action 5 repeats. Then, Fred and Alice discuss something (let's call it Action 35). Then, Action 5 repeats. Then, Action 34 repeats. Then, Fred and Alice switch partners. Then, Action 4 repeats. Then, Action 26 repeats. Then, Bob and Dave switch partners (let's call it Action 36). Then, Dave and Bob switch partners. Then, Action 18 repeats. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Gertrude and Fred switch partners (let's call it Action 37). Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners (let's call it Action 38). Then, Alice and Dave switch partners (let's call it Action 39). Then, Dave and Alice switch partners (let's call it Action 40). Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something (let's call it Action 41). Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something (let's call it Action 42). Then, Alice and Claire switch partners. Then, Eve and Alice switch partners. Then, Action 12 repeats. Then, Fred and Eve switch partners (let's call it Action 43). Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Claire and Gertrude switch partners (let's call it Action 44). Then, Claire and Gertrude discuss something (let's call it Action 45). Then, Claire and Gertrude switch partners. Then, Fred and Bob switch partners (let's call it Action 46). Then, Fred and Bob discuss something (let's call it Action 47). Then, Action 46 repeats. Then, Bob and Gertrude switch partners (let's call it Action 48). Then, Gertrude and Alice switch partners (let's call it Action 49). Then, Alice and Gertrude switch partners (let's call it Action 50). Then, Gertrude and Bob switch partners (let's call it Action 51). Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something (let's call it Action 52). Then, Action 49 repeats. Then, nothing happens for a while. Then, Dave and Eve switch partners (let's call it Action 53). Then, Action 22 repeats. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, Action 32 repeats. Then, Action 9 repeats. Then, nothing happens for a while. Then, Action 15 repeats. Then, Fred and Dave switch partners (let's call it Action 54). Then, Dave and Fred switch partners (let's call it Action 55). Then, Fred and Eve switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners (let's call it Action 56). Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Bob switch partners. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something (let's call it Action 57). Then, Eve and Alice switch partners. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something. Then, Eve and Claire switch partners. Then, Action 26 repeats. Then, Bob and Dave switch partners. Then, Action 32 repeats. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire switch partners. Then, Action 44 repeats. Then, Gertrude and Claire switch partners (let's call it Action 58). Then, Claire and Bob switch partners. Then, Action 38 repeats. Then, Fred and Gertrude discuss something (let's call it Action 59). Then, Fred and Gertrude switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Action 34 repeats. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something (let's call it Action 60). Then, Bob and Alice switch partners. Then, Action 1 repeats. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Action 3 repeats. Then, Eve and Alice discuss something. Then, Action 3 repeats. Then, Action 34 repeats. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Claire and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Action 1 repeats. Then, Action 11 repeats. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something (let's call it Action 61). Then, Fred and Claire switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something (let's call it Action 62). Then, Dave and Fred switch partners. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Action 34 repeats. Then, Dave and Eve switch partners. Then, Action 3 repeats. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Action 21 repeats. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Fred and Claire switch partners. Then, Action 12 repeats. Then, Bob and Fred switch partners (let's call it Action 63). Then, Bob and Fred discuss something (let's call it Action 64). Then, Bob and Fred switch partners. Then, Action 49 repeats. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Claire and Eve switch partners (let's call it Action 65). Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Claire switch partners. Then, Action 46 repeats. Then, Action 14 repeats. Then, Claire and Dave discuss something (let's call it Action 66). Then, Claire and Dave switch partners. Then, Action 6 repeats. Then, Eve and Alice switch partners. Then, Action 51 repeats. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Action 51 repeats. Then, Action 13 repeats. Then, Claire and Gertrude switch partners. Then, Action 58 repeats. Then, Claire and Fred switch partners. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Action 63 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, Action 34 repeats. Then, nothing happens for a while. Then, Action 39 repeats. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something (let's call it Action 67). Then, Action 4 repeats. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something (let's call it Action 68). Then, Claire and Bob switch partners. Then, Action 18 repeats. Then, Eve and Bob switch partners. Then, Action 53 repeats. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Action 22 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Action 14 repeats. Then, Bob and Claire switch partners. Then, Action 10 repeats. Then, Action 18 repeats. Then, Eve and Bob switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Dave switch partners. Then, Action 2 repeats. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something (let's call it Action 69). Then, Action 20 repeats. Then, Action 54 repeats. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Fred switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Action 55 repeats. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Action 20 repeats. Then, Action 50 repeats. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Action 40 repeats. Then, Alice and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners. Then, Action 34 repeats. Then, Gertrude and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 34 repeats. Then, Action 34 repeats. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Action 54 repeats. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Action 34 repeats. Then, Action 34 repeats. Then, Action 13 repeats. Then, Claire and Fred switch partners. Then, Alice and Claire switch partners. Then, Dave and Bob switch partners. Finally, Gertrude and Fred switch partners. At the end of the dance, Dave is dancing with\nOptions:\n(A) Helga\n(B) Patrick\n(C) Jamie\n(D) Karl\n(E) Ophelia\n(F) Izzi\n(G) Melissa", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:160", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a black ball, Bob has a green ball, Claire has a white ball, Dave has a red ball, Eve has a brown ball, Fred has a purple ball, and Gertrude has a orange ball.\nAs the game progresses, pairs of players trade balls. First, Bob and Claire swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Claire swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Fred and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Eve swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Bob swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Eve swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Alice swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Fred and Bob swap balls. Then, Gertrude and Fred swap balls. Finally, Alice and Fred swap balls. At the end of the game, Eve has the\nOptions:\n(A) black ball\n(B) green ball\n(C) white ball\n(D) red ball\n(E) brown ball\n(F) purple ball\n(G) orange ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:161", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Lola, Bob is dancing with Helga, Claire is dancing with Sam, Dave is dancing with Melissa, Eve is dancing with Jamie, Fred is dancing with Rodrigo, and Gertrude is dancing with Patrick.\nThroughout the song, the dancers often trade partners. First, Dave and Claire switch partners. Then, Bob and Dave switch partners (let's call it Action 1). Then, Dave and Bob switch partners (let's call it Action 2). Then, nothing happens for a while (let's call it Action 3). Then, Claire and Fred switch partners (let's call it Action 4). Then, Fred and Bob switch partners (let's call it Action 5). Then, Bob and Fred switch partners (let's call it Action 6). Then, Fred and Claire switch partners (let's call it Action 7). Then, Alice and Gertrude switch partners (let's call it Action 8). Then, Gertrude and Dave switch partners (let's call it Action 9). Then, Dave and Gertrude switch partners (let's call it Action 10). Then, Gertrude and Alice switch partners (let's call it Action 11). Then, nothing happens for a while. Then, Gertrude and Claire switch partners (let's call it Action 12). Then, Claire and Gertrude switch partners (let's call it Action 13). Then, Dave and Eve switch partners (let's call it Action 14). Then, Eve and Dave switch partners (let's call it Action 15). Then, Eve and Bob switch partners (let's call it Action 16). Then, Eve and Bob discuss something (let's call it Action 17). Then, Action 16 repeats. Then, Dave and Fred switch partners (let's call it Action 18). Then, Dave and Fred discuss something (let's call it Action 19). Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Fred and Alice switch partners (let's call it Action 20). Then, Alice and Dave switch partners (let's call it Action 21). Then, Dave and Alice switch partners (let's call it Action 22). Then, Alice and Fred switch partners (let's call it Action 23). Then, Eve and Fred switch partners (let's call it Action 24). Then, Eve and Fred discuss something (let's call it Action 25). Then, Action 24 repeats. Then, Alice and Eve switch partners (let's call it Action 26). Then, Eve and Dave switch partners. Then, Action 14 repeats. Then, Eve and Alice switch partners (let's call it Action 27). Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice switch partners (let's call it Action 28). Then, Claire and Alice discuss something (let's call it Action 29). Then, Action 28 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 3 repeats. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Action 28 repeats. Then, Dave and Bob switch partners. Then, Action 1 repeats. Then, Action 10 repeats. Then, Gertrude and Dave switch partners. Then, Gertrude and Fred switch partners (let's call it Action 30). Then, Gertrude and Fred discuss something (let's call it Action 31). Then, Gertrude and Fred switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something (let's call it Action 32). Then, Gertrude and Alice switch partners. Then, Fred and Gertrude switch partners (let's call it Action 33). Then, Gertrude and Dave switch partners. Then, Action 10 repeats. Then, Gertrude and Fred switch partners. Then, Dave and Claire switch partners (let's call it Action 34). Then, Claire and Dave switch partners (let's call it Action 35). Then, Claire and Alice switch partners. Then, Action 21 repeats. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners (let's call it Action 36). Then, Eve and Gertrude switch partners (let's call it Action 37). Then, Eve and Gertrude discuss something (let's call it Action 38). Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Action 3 repeats. Then, Action 3 repeats. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Action 12 repeats. Then, Gertrude and Claire discuss something (let's call it Action 39). Then, Gertrude and Claire switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Action 12 repeats. Then, Action 13 repeats. Then, Claire and Gertrude discuss something (let's call it Action 40). Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Eve switch partners (let's call it Action 41). Then, Bob and Claire switch partners (let's call it Action 42). Then, Claire and Gertrude switch partners. Then, Action 12 repeats. Then, Claire and Bob switch partners (let's call it Action 43). Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Fred and Dave switch partners (let's call it Action 44). Then, Dave and Fred switch partners. Then, Action 21 repeats. Then, Alice and Dave discuss something (let's call it Action 45). Then, Alice and Dave switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Action 3 repeats. Then, Eve and Alice switch partners. Then, Eve and Alice discuss something (let's call it Action 46). Then, Action 27 repeats. Then, Action 9 repeats. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Action 15 repeats. Then, Dave and Eve switch partners. Then, Action 3 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners (let's call it Action 47). Then, Bob and Gertrude switch partners (let's call it Action 48). Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners (let's call it Action 49). Then, Bob and Alice switch partners (let's call it Action 50). Then, Alice and Gertrude switch partners. Then, Action 3 repeats. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something (let's call it Action 51). Then, Action 50 repeats. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Action 43 repeats. Then, Claire and Bob discuss something (let's call it Action 52). Then, Action 43 repeats. Then, Alice and Fred switch partners. Then, Action 20 repeats. Then, Action 27 repeats. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Action 26 repeats. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Eve and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Eve switch partners. Then, Alice and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Eve and Claire switch partners (let's call it Action 53). Then, Action 13 repeats. Then, Gertrude and Claire switch partners. Then, Claire and Eve switch partners (let's call it Action 54). Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 3 repeats. Then, Action 30 repeats. Then, Fred and Gertrude switch partners. Then, Action 26 repeats. Then, Alice and Eve discuss something (let's call it Action 55). Then, Alice and Eve switch partners. Then, Fred and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Eve switch partners. Then, Action 24 repeats. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Action 54 repeats. Then, Gertrude and Fred switch partners. Then, Action 31 repeats. Then, Action 30 repeats. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Fred and Claire switch partners. Then, Action 28 repeats. Then, Alice and Claire switch partners. Then, Action 4 repeats. Then, Eve and Gertrude switch partners. Then, Action 38 repeats. Then, Action 37 repeats. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Action 3 repeats. Then, nothing happens for a while. Then, Action 3 repeats. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Action 2 repeats. Then, Action 6 repeats. Then, Action 10 repeats. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Alice and Claire switch partners. Then, Action 13 repeats. Then, Gertrude and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Action 10 repeats. Then, Action 9 repeats. Then, Dave and Bob switch partners. Then, Fred and Dave switch partners. Then, Action 18 repeats. Then, Action 8 repeats. Then, Alice and Gertrude discuss something (let's call it Action 56). Then, Action 8 repeats. Then, Action 21 repeats. Then, Dave and Alice switch partners. Then, Fred and Bob switch partners. Then, Bob and Claire switch partners. Then, Action 43 repeats. Then, Bob and Fred switch partners. Then, Action 35 repeats. Then, Claire and Dave discuss something (let's call it Action 57). Then, Action 35 repeats. Then, nothing happens for a while. Then, Action 1 repeats. Then, Dave and Bob switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve switch partners (let's call it Action 58). Then, Action 6 repeats. Then, Bob and Fred discuss something (let's call it Action 59). Then, Bob and Fred switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, Action 30 repeats. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Action 54 repeats. Then, Claire and Eve discuss something (let's call it Action 60). Then, Claire and Eve switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something (let's call it Action 61). Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Action 58 repeats. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something (let's call it Action 62). Then, Gertrude and Bob switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something (let's call it Action 63). Then, Action 33 repeats. Then, Action 18 repeats. Then, Action 44 repeats. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something (let's call it Action 64). Then, Action 14 repeats. Then, Action 26 repeats. Then, Action 55 repeats. Then, Alice and Eve switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Action 4 repeats. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Action 7 repeats. Then, Claire and Alice switch partners. Then, Action 29 repeats. Then, Claire and Alice switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Bob and Eve switch partners (let's call it Action 65). Then, Bob and Eve discuss something (let's call it Action 66). Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Claire switch partners. Then, Action 12 repeats. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Alice and Gertrude switch partners. Then, Action 11 repeats. Then, Action 30 repeats. Then, Action 5 repeats. Then, Action 6 repeats. Then, Fred and Gertrude switch partners. Then, Action 35 repeats. Then, Claire and Dave discuss something. Then, Action 35 repeats. Then, Eve and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Eve switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Action 10 repeats. Then, Dave and Gertrude discuss something (let's call it Action 67). Then, Dave and Gertrude switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Alice and Eve switch partners. Then, Action 37 repeats. Then, Gertrude and Eve switch partners. Then, Action 27 repeats. Then, nothing happens for a while. Then, Action 33 repeats. Then, Action 12 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 3 repeats. Then, Action 7 repeats. Then, Bob and Alice switch partners. Finally, Eve and Claire switch partners. At the end of the dance, Gertrude is dancing with\nOptions:\n(A) Lola\n(B) Helga\n(C) Sam\n(D) Melissa\n(E) Jamie\n(F) Rodrigo\n(G) Patrick", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:162", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a purple present, Bob has a orange ball, Claire has a white present, Dave has a green present, Eve has a yellow present, Fred has a brown present, and Gertrude has a red present.\nAs the event progresses, pairs of people swap gifts. First, Eve and Bob swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Alice and Bob swap their gifts. Then, Alice and Bob discuss something. Then, Alice and Bob swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, Eve and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Dave and Claire swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap their gifts. Then, Dave and Alice discuss something. Then, Dave and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Claire and Fred swap their gifts. Then, Claire and Fred discuss something. Then, Claire and Fred swap their gifts. Then, nothing happens for a while. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Eve discuss something. Then, Claire and Eve swap their gifts. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, nothing happens for a while. Then, Bob and Dave swap their gifts. Then, Bob and Dave discuss something. Then, Bob and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something. Then, Fred and Eve swap their gifts. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap their gifts. Then, Claire and Bob swap their gifts. Then, Dave and Fred swap their gifts. Finally, Bob and Eve swap their gifts. At the end of the event, Alice has the\nOptions:\n(A) purple present\n(B) orange ball\n(C) white present\n(D) green present\n(E) yellow present\n(F) brown present\n(G) red present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:164", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing striker, Bob is playing right winger, Claire is playing left winger, Dave is playing benchwarmer, Eve is playing goalkeeper, Fred is playing center midfielder, and Gertrude is playing cheerleader.\nAs the game progresses, pairs of players occasionally swap positions. First, Eve and Claire trade positions. Then, Gertrude and Eve trade positions (let's call it Action 1). Then, Eve and Fred trade positions (let's call it Action 2). Then, Fred and Eve trade positions (let's call it Action 3). Then, Eve and Gertrude trade positions (let's call it Action 4). Then, Eve and Alice trade positions (let's call it Action 5). Then, Eve and Alice discuss something (let's call it Action 6). Then, Eve and Alice trade positions. Then, Gertrude and Bob trade positions (let's call it Action 7). Then, Bob and Alice trade positions (let's call it Action 8). Then, Alice and Bob trade positions (let's call it Action 9). Then, Bob and Gertrude trade positions (let's call it Action 10). Then, Eve and Claire trade positions (let's call it Action 11). Then, Eve and Claire discuss something (let's call it Action 12). Then, Action 11 repeats. Then, Claire and Bob trade positions (let's call it Action 13). Then, Bob and Claire trade positions (let's call it Action 14). Then, nothing happens for a while (let's call it Action 15). Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something (let's call it Action 16). Then, Eve and Gertrude trade positions. Then, Claire and Fred trade positions (let's call it Action 17). Then, Fred and Claire trade positions (let's call it Action 18). Then, nothing happens for a while. Then, Dave and Alice trade positions (let's call it Action 19). Then, Dave and Alice discuss something (let's call it Action 20). Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Dave and Bob trade positions (let's call it Action 21). Then, Dave and Bob discuss something (let's call it Action 22). Then, Action 21 repeats. Then, Action 5 repeats. Then, Alice and Eve trade positions (let's call it Action 23). Then, Gertrude and Alice trade positions (let's call it Action 24). Then, Alice and Bob trade positions. Then, Action 8 repeats. Then, Alice and Gertrude trade positions (let's call it Action 25). Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 15 repeats. Then, Fred and Gertrude trade positions (let's call it Action 26). Then, Gertrude and Claire trade positions (let's call it Action 27). Then, Claire and Gertrude trade positions (let's call it Action 28). Then, Gertrude and Fred trade positions (let's call it Action 29). Then, Action 7 repeats. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Action 18 repeats. Then, Fred and Claire discuss something (let's call it Action 30). Then, Fred and Claire trade positions. Then, Action 11 repeats. Then, Claire and Eve trade positions (let's call it Action 31). Then, Action 27 repeats. Then, Claire and Gertrude trade positions. Then, Alice and Fred trade positions (let's call it Action 32). Then, Fred and Bob trade positions (let's call it Action 33). Then, Bob and Fred trade positions (let's call it Action 34). Then, Fred and Alice trade positions (let's call it Action 35). Then, Action 9 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Alice trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Action 18 repeats. Then, Action 24 repeats. Then, Gertrude and Alice discuss something (let's call it Action 36). Then, Action 24 repeats. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Dave and Fred trade positions (let's call it Action 37). Then, Dave and Fred discuss something (let's call it Action 38). Then, Action 37 repeats. Then, Claire and Dave trade positions (let's call it Action 39). Then, Action 21 repeats. Then, Bob and Dave trade positions (let's call it Action 40). Then, Dave and Claire trade positions (let's call it Action 41). Then, Action 14 repeats. Then, Bob and Claire discuss something (let's call it Action 42). Then, Bob and Claire trade positions. Then, Alice and Dave trade positions (let's call it Action 43). Then, Dave and Alice trade positions. Then, Action 37 repeats. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, Action 15 repeats. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Dave trade positions (let's call it Action 44). Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions (let's call it Action 45). Then, Eve and Claire trade positions. Then, Action 12 repeats. Then, Eve and Claire trade positions. Then, Fred and Dave trade positions (let's call it Action 46). Then, Dave and Fred trade positions. Then, Eve and Bob trade positions (let's call it Action 47). Then, Bob and Dave trade positions. Then, Action 21 repeats. Then, Bob and Eve trade positions (let's call it Action 48). Then, Fred and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something (let's call it Action 49). Then, Eve and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Alice and Gertrude trade positions. Then, Alice and Gertrude discuss something (let's call it Action 50). Then, Action 25 repeats. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Action 45 repeats. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave trade positions (let's call it Action 51). Then, Dave and Eve trade positions (let's call it Action 52). Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Action 34 repeats. Then, Action 33 repeats. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Action 15 repeats. Then, Action 2 repeats. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, Action 15 repeats. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Claire and Alice trade positions (let's call it Action 53). Then, Claire and Alice discuss something (let's call it Action 54). Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Alice trade positions. Then, Action 48 repeats. Then, Eve and Alice trade positions. Then, Action 23 repeats. Then, Eve and Bob trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Claire trade positions (let's call it Action 55). Then, Claire and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something (let's call it Action 56). Then, Eve and Bob trade positions. Then, Action 15 repeats. Then, Fred and Bob trade positions. Then, Action 10 repeats. Then, Gertrude and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Dave trade positions. Then, Action 19 repeats. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something (let's call it Action 57). Then, Action 3 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Action 45 repeats. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Action 15 repeats. Then, Fred and Claire trade positions. Then, Action 31 repeats. Then, Eve and Claire trade positions. Then, Action 17 repeats. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Action 14 repeats. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions. Then, Action 51 repeats. Then, Action 41 repeats. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Action 45 repeats. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Action 44 repeats. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Action 1 repeats. Then, Eve and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Action 45 repeats. Then, Dave and Fred trade positions. Then, Action 46 repeats. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something (let's call it Action 58). Then, Fred and Bob trade positions. Then, Eve and Alice trade positions. Then, Action 25 repeats. Then, Gertrude and Alice trade positions. Then, Alice and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Action 11 repeats. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Action 37 repeats. Then, Action 46 repeats. Then, Action 21 repeats. Then, Alice and Eve trade positions. Then, Action 5 repeats. Then, Claire and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Action 7 repeats. Then, Bob and Gertrude trade positions. Then, Fred and Bob trade positions. Then, Action 58 repeats. Then, Fred and Bob trade positions. Then, Action 15 repeats. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, Action 3 repeats. Then, Action 4 repeats. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something (let's call it Action 59). Then, Bob and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something (let's call it Action 60). Then, Action 55 repeats. Then, Action 29 repeats. Then, Gertrude and Fred discuss something (let's call it Action 61). Then, Gertrude and Fred trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Action 2 repeats. Then, Action 39 repeats. Then, Claire and Dave discuss something (let's call it Action 62). Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Claire and Dave trade positions. Then, Action 21 repeats. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Dave and Alice trade positions. Then, Action 43 repeats. Then, Action 55 repeats. Then, Action 60 repeats. Then, Alice and Claire trade positions. Then, Action 31 repeats. Then, Action 11 repeats. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something (let's call it Action 63). Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Action 15 repeats. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Bob and Claire discuss something. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Action 53 repeats. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Action 7 repeats. Then, Bob and Fred trade positions. Then, Bob and Dave trade positions. Then, Bob and Dave discuss something (let's call it Action 64). Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Dave and Bob trade positions. Then, Action 22 repeats. Then, Action 21 repeats. Then, Action 33 repeats. Then, Bob and Eve trade positions. Finally, Claire and Alice trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) striker\n(B) right winger\n(C) left winger\n(D) benchwarmer\n(E) goalkeeper\n(F) center midfielder\n(G) cheerleader", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:170", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Fellowship of the Ring, Bob gets Ulysses, Claire gets The Pearl, Dave gets The Great Gatsby, Eve gets Frankenstein, Fred gets The Odyssey, and Gertrude gets Moby Dick.\nAs the semester proceeds, they start trading around the new books. First, Claire and Dave swap books. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, Alice and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Alice swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, Dave and Bob swap books. Then, Dave and Bob discuss something. Then, Dave and Bob swap books. Then, Eve and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap books. Then, Eve and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Eve swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Dave and Alice swap books. Then, Dave and Alice discuss something. Then, Dave and Alice swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Eve swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, Bob and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve swap books. Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Gertrude swap books. Then, Claire and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Claire swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Bob and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Bob swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Alice and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, nothing happens for a while. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, Dave and Claire swap books. Then, Claire and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Dave swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, Claire and Alice swap books. Then, Claire and Alice discuss something. Then, Claire and Alice swap books. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books. Then, Bob and Gertrude swap books. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap books. Then, Fred and Claire swap books. Then, Fred and Claire discuss something. Then, Fred and Claire swap books. Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Dave swap books. Then, nothing happens for a while. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something. Then, Eve and Fred swap books. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Claire and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, Eve and Claire swap books. Then, Claire and Eve swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Claire and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Claire swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Eve and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Eve swap books. Then, Alice and Bob swap books. Then, Alice and Bob discuss something. Then, Alice and Bob swap books. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Bob and Alice discuss something. Then, Bob and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Alice swap books. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Alice and Bob swap books. Then, Bob and Alice swap books. Then, Alice and Eve swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Bob and Dave swap books. Then, Bob and Dave discuss something. Then, Bob and Dave swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Alice and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Fred and Claire swap books. Then, Fred and Claire discuss something. Then, Fred and Claire swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, nothing happens for a while. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Claire and Bob swap books. Then, Claire and Bob discuss something. Then, Claire and Bob swap books. Then, Gertrude and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Gertrude swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Eve and Claire swap books. Then, Eve and Claire discuss something. Then, Eve and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Claire swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap books. Then, nothing happens for a while. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Gertrude and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Gertrude swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Dave swap books. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap books. Then, Claire and Fred discuss something. Then, Claire and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Fred swap books. Then, Bob and Claire swap books. Then, Alice and Eve swap books. Finally, Eve and Claire swap books. At the end of the semester, Alice has\nOptions:\n(A) The Fellowship of the Ring\n(B) Ulysses\n(C) The Pearl\n(D) The Great Gatsby\n(E) Frankenstein\n(F) The Odyssey\n(G) Moby Dick", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:171", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets The Great Gatsby, Bob gets Frankenstein, Claire gets Lolita, Dave gets Ulysses, Eve gets The Fellowship of the Ring, Fred gets Moby Dick, and Gertrude gets Catch-22.\nAs the semester proceeds, they start trading around the new books. First, Bob and Fred swap books. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Eve and Bob discuss something. Then, Eve and Bob swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, nothing happens for a while. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, nothing happens for a while. Then, Claire and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Claire swap books. Then, nothing happens for a while. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Bob and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Fred and Dave swap books. Then, Dave and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Fred swap books. Then, nothing happens for a while. Then, Bob and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Bob swap books. Then, nothing happens for a while. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Claire and Eve swap books. Then, Claire and Eve discuss something. Then, Claire and Eve swap books. Then, Claire and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Claire swap books. Then, Bob and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Bob swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Alice and Fred swap books. Then, Alice and Fred discuss something. Then, Alice and Fred swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap books. Then, Bob and Fred swap books. Then, Fred and Bob swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Bob and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Bob swap books. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, Gertrude and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Gertrude swap books. Then, Alice and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Alice swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Fred and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Fred swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Alice swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Claire and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Claire swap books. Then, Bob and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Bob swap books. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Alice and Bob swap books. Then, Bob and Gertrude swap books. Then, Gertrude and Bob swap books. Then, Bob and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Alice and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice swap books. Then, Alice and Bob swap books. Then, nothing happens for a while. Then, Gertrude and Claire swap books. Then, Bob and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Bob swap books. Then, Dave and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Dave swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Alice and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Alice swap books. Then, Eve and Dave swap books. Then, Eve and Dave discuss something. Then, Eve and Dave swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap books. Then, Fred and Claire swap books. Then, Fred and Claire discuss something. Then, Fred and Claire swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Bob and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Bob swap books. Then, Alice and Eve swap books. Then, Alice and Eve discuss something. Then, Alice and Eve swap books. Then, Alice and Fred swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Fred and Alice swap books. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Alice swap books. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Alice swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Gertrude and Alice swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Gertrude swap books. Then, Dave and Fred swap books. Then, Fred and Bob swap books. Then, Bob and Fred swap books. Then, Fred and Dave swap books. Then, Alice and Claire swap books. Then, Claire and Alice swap books. Then, Fred and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Fred swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Dave and Eve swap books. Then, Dave and Eve discuss something. Then, Dave and Eve swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Claire swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, nothing happens for a while. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Alice and Dave swap books. Then, Alice and Dave discuss something. Then, Alice and Dave swap books. Then, Claire and Dave swap books. Then, Claire and Dave discuss something. Then, Claire and Dave swap books. Then, Gertrude and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Gertrude swap books. Then, Fred and Alice swap books. Then, Fred and Alice discuss something. Then, Fred and Alice swap books. Then, Gertrude and Claire swap books. Then, Claire and Alice swap books. Then, Alice and Claire swap books. Then, Claire and Gertrude swap books. Then, Dave and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Gertrude swap books. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap books. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, Dave and Eve swap books. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Dave swap books. Then, Eve and Alice swap books. Then, Eve and Alice discuss something. Then, Eve and Alice swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, Claire and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Gertrude and Bob swap books. Then, Bob and Claire swap books. Then, Claire and Bob swap books. Then, Bob and Gertrude swap books. Then, Bob and Gertrude swap books. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Dave swap books. Then, Fred and Dave discuss something. Then, Fred and Dave swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Bob and Fred swap books. Then, Bob and Fred discuss something. Then, Bob and Fred swap books. Then, Alice and Claire swap books. Then, Eve and Alice swap books. Finally, Alice and Gertrude swap books. At the end of the semester, Alice has\nOptions:\n(A) The Great Gatsby\n(B) Frankenstein\n(C) Lolita\n(D) Ulysses\n(E) The Fellowship of the Ring\n(F) Moby Dick\n(G) Catch-22", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:173", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a purple ball, Bob has a green ball, Claire has a pink ball, Dave has a red ball, Eve has a blue ball, Fred has a white ball, and Gertrude has a black ball.\nAs the game progresses, pairs of players trade balls. First, Eve and Dave swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Bob swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Claire and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Claire and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Claire swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Bob and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Claire swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Dave and Eve swap balls. Then, Dave and Eve discuss something. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Eve and Dave swap balls. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, nothing happens for a while. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Eve and Alice swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Claire and Gertrude swap balls. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Bob and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Bob swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Bob swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Bob and Alice swap balls. Then, Gertrude and Claire swap balls. Finally, Alice and Dave swap balls. At the end of the game, Dave has the\nOptions:\n(A) purple ball\n(B) green ball\n(C) pink ball\n(D) red ball\n(E) blue ball\n(F) white ball\n(G) black ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:174", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left midfielder, Bob is playing cheerleader, Claire is playing right midfielder, Dave is playing center midfielder, Eve is playing goalkeeper, Fred is playing striker, and Gertrude is playing benchwarmer.\nAs the game progresses, pairs of players occasionally swap positions. First, Dave and Bob trade positions. Then, Dave and Bob trade positions (let's call it Action 1). Then, Bob and Eve trade positions (let's call it Action 2). Then, Eve and Bob trade positions (let's call it Action 3). Then, Bob and Dave trade positions (let's call it Action 4). Then, Claire and Bob trade positions (let's call it Action 5). Then, Bob and Gertrude trade positions (let's call it Action 6). Then, Gertrude and Bob trade positions (let's call it Action 7). Then, Bob and Claire trade positions (let's call it Action 8). Then, nothing happens for a while (let's call it Action 9). Then, Claire and Dave trade positions (let's call it Action 10). Then, Dave and Claire trade positions (let's call it Action 11). Then, nothing happens for a while. Then, Action 9 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, nothing happens for a while. Then, Action 9 repeats. Then, Gertrude and Eve trade positions (let's call it Action 12). Then, Eve and Dave trade positions (let's call it Action 13). Then, Dave and Eve trade positions (let's call it Action 14). Then, Eve and Gertrude trade positions (let's call it Action 15). Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something (let's call it Action 16). Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice trade positions (let's call it Action 17). Then, Alice and Eve trade positions (let's call it Action 18). Then, Fred and Bob trade positions (let's call it Action 19). Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions (let's call it Action 20). Then, Action 4 repeats. Then, Dave and Bob trade positions. Then, Dave and Gertrude trade positions (let's call it Action 21). Then, Dave and Gertrude discuss something (let's call it Action 22). Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Action 9 repeats. Then, Action 9 repeats. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions (let's call it Action 23). Then, Fred and Dave trade positions (let's call it Action 24). Then, Action 11 repeats. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Claire and Eve trade positions (let's call it Action 25). Then, Claire and Eve discuss something (let's call it Action 26). Then, Claire and Eve trade positions. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something (let's call it Action 27). Then, Bob and Eve trade positions. Then, Alice and Fred trade positions (let's call it Action 28). Then, Alice and Fred discuss something (let's call it Action 29). Then, Action 28 repeats. Then, Gertrude and Dave trade positions (let's call it Action 30). Then, Gertrude and Dave discuss something (let's call it Action 31). Then, Gertrude and Dave trade positions. Then, Alice and Eve trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions (let's call it Action 32). Then, Claire and Fred trade positions (let's call it Action 33). Then, Action 20 repeats. Then, Fred and Alice trade positions (let's call it Action 34). Then, Alice and Fred trade positions. Then, Action 19 repeats. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions (let's call it Action 35). Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something (let's call it Action 36). Then, Dave and Claire trade positions. Then, Alice and Claire trade positions (let's call it Action 37). Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions (let's call it Action 38). Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Alice and Dave trade positions (let's call it Action 39). Then, Alice and Dave discuss something (let's call it Action 40). Then, Alice and Dave trade positions. Then, Fred and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Fred trade positions. Then, Action 20 repeats. Then, Fred and Bob trade positions. Then, Action 9 repeats. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something (let's call it Action 41). Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Fred and Gertrude trade positions (let's call it Action 42). Then, Gertrude and Alice trade positions (let's call it Action 43). Then, Alice and Gertrude trade positions (let's call it Action 44). Then, Gertrude and Fred trade positions (let's call it Action 45). Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Action 25 repeats. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something (let's call it Action 46). Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something (let's call it Action 47). Then, Alice and Eve trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something (let's call it Action 48). Then, Gertrude and Eve trade positions. Then, Claire and Dave trade positions. Then, Action 1 repeats. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Gertrude trade positions (let's call it Action 49). Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Action 40 repeats. Then, Action 39 repeats. Then, Claire and Eve trade positions. Then, Action 35 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 28 repeats. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 34 repeats. Then, nothing happens for a while. Then, Action 39 repeats. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 50). Then, Action 13 repeats. Then, Alice and Bob trade positions (let's call it Action 51). Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions (let's call it Action 52). Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Action 12 repeats. Then, Gertrude and Claire trade positions (let's call it Action 53). Then, Gertrude and Claire discuss something (let's call it Action 54). Then, Gertrude and Claire trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something (let's call it Action 55). Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Bob trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Alice trade positions (let's call it Action 56). Then, Alice and Dave trade positions. Then, Action 21 repeats. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, nothing happens for a while. Then, Action 53 repeats. Then, Gertrude and Claire discuss something. Then, Action 53 repeats. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Action 6 repeats. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Claire and Dave trade positions. Then, Action 11 repeats. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Eve and Fred trade positions (let's call it Action 57). Then, Fred and Eve trade positions (let's call it Action 58). Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something (let's call it Action 59). Then, Action 34 repeats. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something (let's call it Action 60). Then, Action 42 repeats. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, Bob and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Bob trade positions. Then, Fred and Alice trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Action 39 repeats. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, Action 9 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something. Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Action 9 repeats. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Action 58 repeats. Then, Fred and Eve discuss something (let's call it Action 61). Then, Action 58 repeats. Then, Action 51 repeats. Then, Action 52 repeats. Then, Action 18 repeats. Then, Alice and Eve discuss something. Then, Action 18 repeats. Then, Action 19 repeats. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 58 repeats. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something (let's call it Action 62). Then, Claire and Alice trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something (let's call it Action 63). Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something (let's call it Action 64). Then, Eve and Gertrude trade positions. Then, Fred and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Action 33 repeats. Then, Bob and Dave trade positions. Then, Dave and Eve trade positions. Then, Action 13 repeats. Then, Action 1 repeats. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something (let's call it Action 65). Then, Bob and Fred trade positions. Then, Action 58 repeats. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Action 57 repeats. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Action 57 repeats. Then, Fred and Bob trade positions. Then, Action 20 repeats. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Action 24 repeats. Then, Fred and Dave discuss something (let's call it Action 66). Then, Action 24 repeats. Then, nothing happens for a while. Then, Fred and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Action 15 repeats. Then, Action 64 repeats. Then, Eve and Gertrude trade positions. Then, Action 4 repeats. Then, Dave and Bob trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Fred and Dave trade positions. Then, Action 1 repeats. Then, Action 4 repeats. Then, Dave and Fred trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 67). Then, Action 33 repeats. Then, Bob and Claire trade positions. Then, Dave and Eve trade positions. Finally, Bob and Alice trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) left midfielder\n(B) cheerleader\n(C) right midfielder\n(D) center midfielder\n(E) goalkeeper\n(F) striker\n(G) benchwarmer", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:175", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a pink ball, Bob has a orange ball, Claire has a white ball, Dave has a green ball, Eve has a blue ball, Fred has a black ball, and Gertrude has a yellow ball.\nAs the game progresses, pairs of players trade balls. First, Dave and Alice swap balls. Then, Eve and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Eve swap balls. Then, Bob and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Bob swap balls. Then, Claire and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, Dave and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Dave swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Fred and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Fred swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Eve and Bob swap balls. Then, Eve and Bob discuss something. Then, Eve and Bob swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Bob swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Dave and Claire swap balls. Then, Dave and Claire discuss something. Then, Dave and Claire swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Dave swap balls. Then, nothing happens for a while. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Claire and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Fred and Dave swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Claire and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Alice and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Alice swap balls. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Claire and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Fred swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Dave and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Eve and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Eve swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, Eve and Bob swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, Fred and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Fred swap balls. Then, Alice and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Claire and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Dave and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Dave swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Claire and Fred swap balls. Then, Bob and Gertrude swap balls. Finally, Gertrude and Alice swap balls. At the end of the game, Dave has the\nOptions:\n(A) pink ball\n(B) orange ball\n(C) white ball\n(D) green ball\n(E) blue ball\n(F) black ball\n(G) yellow ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:176", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing center midfielder, Bob is playing striker, Claire is playing left winger, Dave is playing cheerleader, Eve is playing fullback, Fred is playing right winger, and Gertrude is playing benchwarmer.\nAs the game progresses, pairs of players occasionally swap positions. First, Alice and Claire trade positions. Then, Claire and Gertrude trade positions (let's call it Action 1). Then, Gertrude and Claire trade positions (let's call it Action 2). Then, Gertrude and Dave trade positions (let's call it Action 3). Then, Dave and Gertrude trade positions (let's call it Action 4). Then, Eve and Dave trade positions (let's call it Action 5). Then, Action 4 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions (let's call it Action 6). Then, Bob and Alice trade positions (let's call it Action 7). Then, Alice and Bob trade positions (let's call it Action 8). Then, nothing happens for a while (let's call it Action 9). Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something (let's call it Action 10). Then, Gertrude and Claire trade positions. Then, Fred and Eve trade positions (let's call it Action 11). Then, Fred and Eve discuss something (let's call it Action 12). Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions (let's call it Action 13). Then, Claire and Fred trade positions (let's call it Action 14). Then, Action 9 repeats. Then, Eve and Bob trade positions (let's call it Action 15). Then, Bob and Eve trade positions (let's call it Action 16). Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something (let's call it Action 17). Then, Bob and Alice trade positions. Then, Eve and Claire trade positions (let's call it Action 18). Then, Eve and Claire discuss something (let's call it Action 19). Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Gertrude and Fred trade positions (let's call it Action 20). Then, Fred and Gertrude trade positions (let's call it Action 21). Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Fred and Bob trade positions (let's call it Action 22). Then, Fred and Bob discuss something (let's call it Action 23). Then, Fred and Bob trade positions. Then, Dave and Alice trade positions (let's call it Action 24). Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions (let's call it Action 25). Then, Eve and Gertrude trade positions (let's call it Action 26). Then, Gertrude and Eve trade positions (let's call it Action 27). Then, Gertrude and Alice trade positions (let's call it Action 28). Then, Gertrude and Alice discuss something (let's call it Action 29). Then, Gertrude and Alice trade positions. Then, Action 15 repeats. Then, Bob and Fred trade positions (let's call it Action 30). Then, Fred and Bob trade positions. Then, Action 16 repeats. Then, Fred and Alice trade positions (let's call it Action 31). Then, Fred and Alice discuss something (let's call it Action 32). Then, Fred and Alice trade positions. Then, Action 20 repeats. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions (let's call it Action 33). Then, Action 21 repeats. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Dave and Bob trade positions (let's call it Action 34). Then, Dave and Bob discuss something (let's call it Action 35). Then, Action 34 repeats. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 36). Then, Action 14 repeats. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something (let's call it Action 37). Then, Action 5 repeats. Then, Action 21 repeats. Then, Gertrude and Fred trade positions. Then, Alice and Fred trade positions (let's call it Action 38). Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions (let's call it Action 39). Then, Claire and Bob trade positions (let's call it Action 40). Then, Bob and Claire trade positions (let's call it Action 41). Then, Gertrude and Bob trade positions (let's call it Action 42). Then, nothing happens for a while. Then, Bob and Gertrude trade positions (let's call it Action 43). Then, Bob and Gertrude discuss something (let's call it Action 44). Then, Bob and Gertrude trade positions. Then, Action 33 repeats. Then, Eve and Fred discuss something (let's call it Action 45). Then, Eve and Fred trade positions. Then, Action 25 repeats. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions (let's call it Action 46). Then, Eve and Fred trade positions. Then, Action 18 repeats. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Action 39 repeats. Then, Bob and Dave discuss something (let's call it Action 47). Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something (let's call it Action 48). Then, Action 3 repeats. Then, Action 13 repeats. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Dave and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Eve and Dave trade positions. Then, Action 37 repeats. Then, Eve and Dave trade positions. Then, Alice and Claire trade positions (let's call it Action 49). Then, Action 1 repeats. Then, Gertrude and Claire trade positions. Then, Claire and Alice trade positions (let's call it Action 50). Then, Bob and Alice trade positions. Then, Action 8 repeats. Then, Action 27 repeats. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Action 14 repeats. Then, Fred and Gertrude trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something (let's call it Action 51). Then, Action 49 repeats. Then, Dave and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Action 1 repeats. Then, Gertrude and Dave trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something (let's call it Action 52). Then, Action 15 repeats. Then, Action 30 repeats. Then, Action 21 repeats. Then, Action 20 repeats. Then, Fred and Bob trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, Action 7 repeats. Then, Alice and Eve trade positions (let's call it Action 53). Then, Eve and Alice trade positions (let's call it Action 54). Then, Alice and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Action 20 repeats. Then, Action 21 repeats. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Action 24 repeats. Then, Action 25 repeats. Then, Action 22 repeats. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 20 repeats. Then, Fred and Dave trade positions (let's call it Action 55). Then, Dave and Fred trade positions (let's call it Action 56). Then, Action 21 repeats. Then, Gertrude and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Claire and Dave trade positions (let's call it Action 57). Then, Dave and Claire trade positions (let's call it Action 58). Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Action 36 repeats. Then, Claire and Fred trade positions. Then, Dave and Gertrude trade positions. Then, Action 27 repeats. Then, Eve and Gertrude trade positions. Then, Action 3 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 11 repeats. Then, Alice and Bob trade positions. Then, Action 43 repeats. Then, Gertrude and Bob trade positions. Then, Bob and Alice trade positions. Then, Action 16 repeats. Then, Eve and Fred trade positions. Then, Action 11 repeats. Then, Eve and Bob trade positions. Then, Eve and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Action 18 repeats. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Action 46 repeats. Then, Claire and Eve discuss something (let's call it Action 59). Then, Action 46 repeats. Then, Action 9 repeats. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Action 1 repeats. Then, Gertrude and Fred trade positions. Then, Action 21 repeats. Then, Gertrude and Claire trade positions. Then, Dave and Alice trade positions. Then, Action 53 repeats. Then, Eve and Alice trade positions. Then, Action 25 repeats. Then, Fred and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Action 56 repeats. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Alice and Gertrude trade positions (let's call it Action 60). Then, Alice and Gertrude discuss something (let's call it Action 61). Then, Alice and Gertrude trade positions. Then, Eve and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Action 46 repeats. Then, Action 9 repeats. Then, Gertrude and Claire trade positions. Then, Action 50 repeats. Then, Action 49 repeats. Then, Claire and Gertrude trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Action 9 repeats. Then, Action 9 repeats. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something (let's call it Action 62). Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Bob and Gertrude trade positions. Then, Action 44 repeats. Then, Bob and Gertrude trade positions. Then, Dave and Claire trade positions. Then, Action 1 repeats. Then, Action 2 repeats. Then, Action 57 repeats. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Action 24 repeats. Then, Action 25 repeats. Then, Action 9 repeats. Then, nothing happens for a while. Then, Action 39 repeats. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Eve trade positions. Then, Action 2 repeats. Then, Claire and Gertrude trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Action 60 repeats. Then, Action 61 repeats. Then, Action 60 repeats. Then, Action 9 repeats. Then, Alice and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Action 1 repeats. Then, Gertrude and Alice trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something (let's call it Action 63). Then, Action 13 repeats. Then, Action 53 repeats. Then, Eve and Alice trade positions. Then, Bob and Alice trade positions. Then, Action 17 repeats. Then, Bob and Alice trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Action 14 repeats. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, nothing happens for a while. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Action 24 repeats. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Action 25 repeats. Then, Gertrude and Dave trade positions. Then, Eve and Fred trade positions. Finally, Fred and Bob trade positions. At the end of the match, Dave is playing\nOptions:\n(A) center midfielder\n(B) striker\n(C) left winger\n(D) cheerleader\n(E) fullback\n(F) right winger\n(G) benchwarmer", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:177", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing goalkeeper, Bob is playing center midfielder, Claire is playing benchwarmer, Dave is playing left winger, Eve is playing striker, Fred is playing right midfielder, and Gertrude is playing left midfielder.\nAs the game progresses, pairs of players occasionally swap positions. First, Eve and Claire trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Fred trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something. Then, Fred and Dave trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Claire trade positions. Then, Bob and Gertrude trade positions. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude trade positions. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Claire and Dave trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, Alice and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, Eve and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Eve trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Eve and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions. Then, Dave and Bob trade positions. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Fred trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Claire trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Eve and Bob trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Eve and Dave discuss something. Then, Eve and Dave trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Dave and Alice trade positions. Then, Dave and Alice discuss something. Then, Dave and Alice trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Claire trade positions. Then, Eve and Claire discuss something. Then, Eve and Claire trade positions. Then, Dave and Bob trade positions. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Dave and Eve discuss something. Then, Dave and Eve trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Claire trade positions. Then, Alice and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Gertrude and Eve trade positions. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve trade positions. Then, Alice and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Alice trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Bob and Fred trade positions. Then, Bob and Fred discuss something. Then, Bob and Fred trade positions. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Alice and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Alice trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Fred and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Fred trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Alice trade positions. Then, Bob and Alice discuss something. Then, Bob and Alice trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something. Then, Eve and Fred trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Gertrude and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Eve and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, Fred and Eve trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Claire and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Claire trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Fred and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Claire trade positions. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Fred and Eve trade positions. Then, Fred and Eve discuss something. Then, Fred and Eve trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Alice trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Dave and Fred trade positions. Then, Dave and Fred discuss something. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Claire trade positions. Then, Dave and Alice trade positions. Finally, Claire and Eve trade positions. At the end of the match, Dave is playing\nOptions:\n(A) goalkeeper\n(B) center midfielder\n(C) benchwarmer\n(D) left winger\n(E) striker\n(F) right midfielder\n(G) left midfielder", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:178", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are friends and avid readers who occasionally trade books. At the start of the semester, they each buy one new book: Alice gets Lolita, Bob gets The Great Gatsby, Claire gets The Fellowship of the Ring, Dave gets Catch-22, Eve gets The Odyssey, Fred gets Moby Dick, and Gertrude gets Ulysses.\nAs the semester proceeds, they start trading around the new books. First, Eve and Gertrude swap books. Then, nothing happens for a while (let's call it Action 1). Then, nothing happens for a while. Then, Eve and Alice swap books (let's call it Action 2). Then, Alice and Eve swap books (let's call it Action 3). Then, Claire and Fred swap books (let's call it Action 4). Then, Fred and Alice swap books (let's call it Action 5). Then, Alice and Fred swap books (let's call it Action 6). Then, Fred and Claire swap books (let's call it Action 7). Then, Action 1 repeats. Then, Action 1 repeats. Then, Claire and Dave swap books (let's call it Action 8). Then, Dave and Gertrude swap books (let's call it Action 9). Then, Gertrude and Dave swap books (let's call it Action 10). Then, Dave and Claire swap books (let's call it Action 11). Then, nothing happens for a while. Then, Alice and Eve swap books. Then, Eve and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books (let's call it Action 12). Then, Fred and Eve swap books (let's call it Action 13). Then, Eve and Fred swap books (let's call it Action 14). Then, Fred and Gertrude swap books (let's call it Action 15). Then, nothing happens for a while. Then, Bob and Alice swap books (let's call it Action 16). Then, Alice and Bob swap books (let's call it Action 17). Then, Bob and Fred swap books (let's call it Action 18). Then, Fred and Gertrude swap books. Then, Action 12 repeats. Then, Fred and Bob swap books (let's call it Action 19). Then, Claire and Gertrude swap books (let's call it Action 20). Then, Gertrude and Claire swap books (let's call it Action 21). Then, Fred and Bob swap books. Then, Action 18 repeats. Then, Eve and Alice swap books. Then, Eve and Alice discuss something (let's call it Action 22). Then, Eve and Alice swap books. Then, Claire and Gertrude swap books. Then, Claire and Gertrude discuss something (let's call it Action 23). Then, Claire and Gertrude swap books. Then, Fred and Alice swap books. Then, Fred and Alice discuss something (let's call it Action 24). Then, Fred and Alice swap books. Then, Bob and Eve swap books (let's call it Action 25). Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Bob swap books (let's call it Action 26). Then, nothing happens for a while. Then, Bob and Eve swap books. Then, nothing happens for a while. Then, Gertrude and Eve swap books (let's call it Action 27). Then, Eve and Fred swap books. Then, Action 13 repeats. Then, Eve and Gertrude swap books (let's call it Action 28). Then, Action 3 repeats. Then, Eve and Dave swap books (let's call it Action 29). Then, Dave and Eve swap books (let's call it Action 30). Then, Eve and Alice swap books. Then, nothing happens for a while. Then, Gertrude and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Action 15 repeats. Then, Gertrude and Fred swap books. Then, Gertrude and Fred discuss something (let's call it Action 31). Then, Action 12 repeats. Then, Gertrude and Claire swap books. Then, Action 4 repeats. Then, Fred and Claire swap books. Then, Claire and Gertrude swap books. Then, Bob and Eve swap books. Then, Action 14 repeats. Then, Fred and Eve swap books. Then, Eve and Bob swap books. Then, nothing happens for a while. Then, Bob and Gertrude swap books (let's call it Action 32). Then, Bob and Gertrude discuss something (let's call it Action 33). Then, Bob and Gertrude swap books. Then, Action 13 repeats. Then, Action 2 repeats. Then, Action 3 repeats. Then, Eve and Fred swap books. Then, nothing happens for a while. Then, Action 1 repeats. Then, Action 18 repeats. Then, Fred and Eve swap books. Then, Action 14 repeats. Then, Fred and Bob swap books. Then, Action 20 repeats. Then, Claire and Gertrude discuss something. Then, Action 20 repeats. Then, Dave and Fred swap books (let's call it Action 34). Then, Dave and Fred discuss something (let's call it Action 35). Then, Action 34 repeats. Then, Fred and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Bob and Fred swap books. Then, nothing happens for a while. Then, Dave and Claire swap books. Then, Dave and Claire discuss something (let's call it Action 36). Then, Dave and Claire swap books. Then, Gertrude and Fred swap books. Then, Fred and Dave swap books (let's call it Action 37). Then, Dave and Fred swap books. Then, Fred and Gertrude swap books. Then, Dave and Fred swap books. Then, Fred and Dave swap books. Then, nothing happens for a while. Then, Alice and Claire swap books (let's call it Action 38). Then, Alice and Claire discuss something (let's call it Action 39). Then, Alice and Claire swap books. Then, Action 27 repeats. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Alice swap books (let's call it Action 40). Then, Gertrude and Alice discuss something (let's call it Action 41). Then, Gertrude and Alice swap books. Then, Bob and Alice swap books. Then, Alice and Fred swap books. Then, Action 5 repeats. Then, Alice and Bob swap books. Then, Fred and Bob swap books. Then, Fred and Bob discuss something (let's call it Action 42). Then, Fred and Bob swap books. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, nothing happens for a while. Then, Eve and Fred swap books. Then, Action 7 repeats. Then, Action 4 repeats. Then, Fred and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Eve swap books. Then, Claire and Fred swap books. Then, Action 7 repeats. Then, Bob and Dave swap books (let's call it Action 43). Then, Dave and Bob swap books (let's call it Action 44). Then, Action 38 repeats. Then, Claire and Alice swap books (let's call it Action 45). Then, Alice and Dave swap books (let's call it Action 46). Then, Dave and Alice swap books (let's call it Action 47). Then, nothing happens for a while. Then, Eve and Gertrude swap books. Then, Gertrude and Alice swap books. Then, Alice and Gertrude swap books (let's call it Action 48). Then, Gertrude and Eve swap books. Then, Eve and Fred swap books. Then, Eve and Fred discuss something (let's call it Action 49). Then, Eve and Fred swap books. Then, Action 32 repeats. Then, Gertrude and Dave swap books. Then, Action 9 repeats. Then, Gertrude and Bob swap books (let's call it Action 50). Then, nothing happens for a while. Then, Dave and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Action 3 repeats. Then, Eve and Fred swap books. Then, Fred and Eve swap books. Then, Eve and Alice swap books. Then, Bob and Eve swap books. Then, Bob and Eve discuss something (let's call it Action 51). Then, Bob and Eve swap books. Then, Alice and Claire swap books. Then, Action 45 repeats. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Fred and Claire swap books. Then, Claire and Gertrude swap books. Then, Gertrude and Claire swap books. Then, Claire and Fred swap books. Then, Bob and Claire swap books (let's call it Action 52). Then, Bob and Claire discuss something (let's call it Action 53). Then, Bob and Claire swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Fred and Gertrude swap books. Then, Gertrude and Dave swap books. Then, Dave and Gertrude swap books. Then, Gertrude and Fred swap books. Then, Action 48 repeats. Then, Action 16 repeats. Then, Alice and Bob swap books. Then, Action 1 repeats. Then, Eve and Fred swap books. Then, Fred and Claire swap books. Then, Claire and Fred swap books. Then, Fred and Eve swap books. Then, Fred and Alice swap books. Then, Alice and Gertrude swap books. Then, Action 40 repeats. Then, Alice and Fred swap books. Then, Alice and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Fred and Alice swap books. Then, Action 37 repeats. Then, Action 47 repeats. Then, Alice and Dave swap books. Then, Dave and Fred swap books. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire swap books. Then, Action 39 repeats. Then, Alice and Claire swap books. Then, Eve and Fred swap books. Then, Action 13 repeats. Then, Alice and Bob swap books. Then, Bob and Dave swap books. Then, Dave and Bob swap books. Then, Bob and Alice swap books. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something (let's call it Action 54). Then, Gertrude and Dave swap books. Then, Dave and Claire swap books. Then, Claire and Dave swap books. Then, Dave and Claire swap books. Then, Dave and Claire discuss something. Then, Action 11 repeats. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Bob swap books. Then, Action 32 repeats. Then, Action 50 repeats. Then, Bob and Eve swap books. Then, Fred and Bob swap books. Then, Fred and Bob discuss something. Then, Fred and Bob swap books. Then, Action 47 repeats. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Dave swap books. Then, nothing happens for a while. Then, Alice and Eve swap books. Then, Eve and Gertrude swap books. Then, Gertrude and Eve swap books. Then, Eve and Alice swap books. Then, Alice and Claire swap books. Then, Action 45 repeats. Then, Claire and Eve swap books (let's call it Action 55). Then, nothing happens for a while. Then, Gertrude and Dave swap books. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap books. Then, Gertrude and Fred swap books. Then, Fred and Gertrude swap books. Then, Bob and Fred swap books. Then, Fred and Dave swap books. Then, Dave and Fred swap books. Then, Action 19 repeats. Then, Eve and Claire swap books (let's call it Action 56). Then, Claire and Eve swap books. Then, Action 11 repeats. Then, Claire and Dave swap books. Then, Gertrude and Bob swap books. Then, Gertrude and Bob discuss something (let's call it Action 57). Then, Gertrude and Bob swap books. Then, Bob and Eve swap books. Then, Eve and Bob swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Gertrude and Eve swap books. Then, Gertrude and Eve discuss something (let's call it Action 58). Then, Gertrude and Eve swap books. Then, Action 1 repeats. Then, Dave and Fred swap books. Then, Dave and Fred discuss something. Then, Dave and Fred swap books. Then, Gertrude and Eve swap books. Then, Action 58 repeats. Then, Gertrude and Eve swap books. Then, Fred and Bob swap books. Then, Action 42 repeats. Then, Action 19 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob swap books. Then, Bob and Eve swap books. Then, Alice and Claire swap books. Then, Alice and Claire discuss something. Then, Alice and Claire swap books. Then, Eve and Claire swap books. Then, Eve and Claire discuss something (let's call it Action 59). Then, Action 56 repeats. Then, Eve and Alice swap books. Then, Alice and Fred swap books. Then, Fred and Alice swap books. Then, Alice and Eve swap books. Then, Action 6 repeats. Then, Action 5 repeats. Then, Action 1 repeats. Then, nothing happens for a while. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Dave and Eve swap books. Then, Eve and Dave swap books. Then, Action 1 repeats. Then, Gertrude and Claire swap books. Then, Claire and Gertrude swap books. Then, nothing happens for a while. Then, Eve and Alice swap books. Then, Fred and Alice swap books. Finally, Eve and Dave swap books. At the end of the semester, Dave has\nOptions:\n(A) Lolita\n(B) The Great Gatsby\n(C) The Fellowship of the Ring\n(D) Catch-22\n(E) The Odyssey\n(F) Moby Dick\n(G) Ulysses", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:181", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left midfielder, Bob is playing benchwarmer, Claire is playing right midfielder, Dave is playing cheerleader, Eve is playing left winger, Fred is playing goalkeeper, and Gertrude is playing right winger.\nAs the game progresses, pairs of players occasionally swap positions. First, Fred and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude trade positions. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Fred and Alice trade positions. Then, Fred and Alice discuss something. Then, Fred and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Dave and Alice trade positions. Then, Alice and Dave trade positions. Then, Eve and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Eve trade positions. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, nothing happens for a while. Then, Claire and Gertrude trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Alice and Dave trade positions. Then, Dave and Alice trade positions. Then, Eve and Alice trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Alice and Eve trade positions. Then, nothing happens for a while. Then, Bob and Eve trade positions. Then, Bob and Eve discuss something. Then, Bob and Eve trade positions. Then, Dave and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Dave trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Alice trade positions. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Alice and Dave trade positions. Then, Claire and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Claire trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire trade positions. Then, Dave and Claire discuss something. Then, Dave and Claire trade positions. Then, Eve and Alice trade positions. Then, Eve and Alice discuss something. Then, Eve and Alice trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Eve trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Fred and Dave trade positions. Then, Dave and Fred trade positions. Then, nothing happens for a while. Then, Claire and Alice trade positions. Then, Claire and Alice discuss something. Then, Claire and Alice trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, nothing happens for a while. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Claire and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Claire trade positions. Then, Fred and Dave trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something. Then, Alice and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice trade positions. Then, Claire and Eve trade positions. Then, Claire and Eve discuss something. Then, Claire and Eve trade positions. Then, Eve and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Eve trade positions. Then, Claire and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions. Then, Bob and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Bob trade positions. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Bob and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Bob trade positions. Then, nothing happens for a while. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Eve and Dave trade positions. Then, Dave and Eve trade positions. Then, Dave and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Dave trade positions. Then, Gertrude and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Dave and Gertrude trade positions. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude trade positions. Then, Eve and Fred trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Fred and Eve trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something. Then, Eve and Bob trade positions. Then, Alice and Bob trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude trade positions. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Bob and Dave trade positions. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something. Then, Fred and Claire trade positions. Then, Alice and Dave trade positions. Then, Alice and Dave discuss something. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Alice trade positions. Then, Dave and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Dave trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Eve trade positions. Then, Eve and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Alice and Fred trade positions. Then, Alice and Fred discuss something. Then, Alice and Fred trade positions. Then, Alice and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Alice trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something. Then, Claire and Fred trade positions. Then, Gertrude and Eve trade positions. Then, nothing happens for a while. Then, Alice and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Bob and Fred trade positions. Then, Fred and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Bob trade positions. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob trade positions. Then, nothing happens for a while. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Eve and Gertrude trade positions. Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Fred and Bob trade positions. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Fred trade positions. Then, Gertrude and Dave trade positions. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave trade positions. Then, Alice and Gertrude trade positions. Then, Gertrude and Alice trade positions. Then, Claire and Bob trade positions. Then, Claire and Bob discuss something. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, nothing happens for a while. Then, Alice and Bob trade positions. Then, Bob and Alice trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Dave and Bob trade positions. Then, Dave and Eve trade positions. Finally, Dave and Alice trade positions. At the end of the match, Gertrude is playing\nOptions:\n(A) left midfielder\n(B) benchwarmer\n(C) right midfielder\n(D) cheerleader\n(E) left winger\n(F) goalkeeper\n(G) right winger", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:182", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Lola, Bob is dancing with Melissa, Claire is dancing with Patrick, Dave is dancing with Rodrigo, Eve is dancing with Izzi, Fred is dancing with Ophelia, and Gertrude is dancing with Sam.\nThroughout the song, the dancers often trade partners. First, Alice and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Fred switch partners. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something. Then, Claire and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Bob and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Bob switch partners. Then, Alice and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Alice switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Dave and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, Bob and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Bob switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Bob and Claire switch partners. Then, Bob and Claire discuss something. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Dave switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Claire switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something. Then, Alice and Eve switch partners. Then, Eve and Bob switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something. Then, Eve and Fred switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, nothing happens for a while. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Gertrude and Alice switch partners. Then, Dave and Eve switch partners. Finally, Claire and Eve switch partners. At the end of the dance, Claire is dancing with\nOptions:\n(A) Lola\n(B) Melissa\n(C) Patrick\n(D) Rodrigo\n(E) Izzi\n(F) Ophelia\n(G) Sam", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:184", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a green ball, Bob has a pink ball, Claire has a orange ball, Dave has a yellow ball, Eve has a blue ball, Fred has a black ball, and Gertrude has a purple ball.\nAs the game progresses, pairs of players trade balls. First, Gertrude and Alice swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Bob and Fred swap balls. Then, Bob and Fred discuss something. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Alice and Claire swap balls. Then, Alice and Claire discuss something. Then, Alice and Claire swap balls. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Claire and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Dave and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Eve and Dave swap balls. Then, Dave and Eve swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Claire and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Claire swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Bob and Eve swap balls. Then, Bob and Eve discuss something. Then, Bob and Eve swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Bob and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Bob swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Claire swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Fred and Gertrude swap balls. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Dave swap balls. Then, Eve and Claire swap balls. Then, Fred and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Claire and Dave swap balls. Then, Claire and Dave discuss something. Then, Claire and Dave swap balls. Then, Claire and Alice swap balls. Then, Claire and Alice discuss something. Then, Claire and Alice swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Bob swap balls. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob swap balls. Then, Bob and Alice swap balls. Then, Bob and Alice discuss something. Then, Bob and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Fred and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, Eve and Dave swap balls. Then, Eve and Dave discuss something. Then, Eve and Dave swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, Dave and Fred swap balls. Then, Dave and Fred discuss something. Then, Dave and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Claire and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, Claire and Gertrude swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Fred and Dave swap balls. Then, Fred and Dave discuss something. Then, Fred and Dave swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, nothing happens for a while. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Eve swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Bob and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Bob swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Fred and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Claire and Bob swap balls. Then, Claire and Bob discuss something. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve swap balls. Then, Claire and Eve discuss something. Then, Claire and Eve swap balls. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Bob and Alice swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Eve swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Fred and Bob swap balls. Then, Fred and Bob discuss something. Then, Fred and Bob swap balls. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Fred and Eve swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Dave and Fred swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Fred and Dave swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Alice swap balls. Then, Bob and Dave swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Dave and Bob swap balls. Then, Dave and Alice swap balls. Then, Dave and Alice discuss something. Then, Dave and Alice swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, Bob and Claire swap balls. Then, Bob and Claire discuss something. Then, Bob and Claire swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Eve and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Eve swap balls. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Eve and Claire swap balls. Then, Eve and Claire discuss something. Then, Eve and Claire swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Eve and Alice swap balls. Then, Dave and Alice swap balls. Finally, Dave and Fred swap balls. At the end of the game, Gertrude has the\nOptions:\n(A) green ball\n(B) pink ball\n(C) orange ball\n(D) yellow ball\n(E) blue ball\n(F) black ball\n(G) purple ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:187", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a red present, Bob has a purple present, Claire has a white present, Dave has a brown present, Eve has a green present, Fred has a blue present, and Gertrude has a yellow present.\nAs the event progresses, pairs of people swap gifts. First, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Claire discuss something. Then, Eve and Claire swap their gifts. Then, Bob and Claire swap their gifts. Then, Bob and Claire discuss something. Then, Bob and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, nothing happens for a while. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Claire and Fred swap their gifts. Then, Claire and Fred discuss something. Then, Claire and Fred swap their gifts. Then, nothing happens for a while. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, nothing happens for a while. Then, Bob and Dave swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, nothing happens for a while. Then, Claire and Dave swap their gifts. Then, Claire and Dave discuss something. Then, Claire and Dave swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Claire discuss something. Then, Fred and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, nothing happens for a while. Then, Alice and Bob swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Bob and Alice swap their gifts. Then, Bob and Alice discuss something. Then, Bob and Alice swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, nothing happens for a while. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something. Then, Alice and Dave swap their gifts. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Fred swap their gifts. Then, Bob and Fred discuss something. Then, Bob and Fred swap their gifts. Then, Claire and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, nothing happens for a while. Then, Alice and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Alice and Eve swap their gifts. Then, Alice and Eve discuss something. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something. Then, Fred and Alice swap their gifts. Then, Bob and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something. Then, Fred and Alice swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, nothing happens for a while. Then, Bob and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, nothing happens for a while. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Claire and Alice swap their gifts. Then, nothing happens for a while. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, Dave and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Claire and Alice swap their gifts. Then, Claire and Alice discuss something. Then, Claire and Alice swap their gifts. Then, Dave and Bob swap their gifts. Then, Bob and Dave swap their gifts. Then, Fred and Bob swap their gifts. Then, Fred and Bob discuss something. Then, Fred and Bob swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Fred and Bob swap their gifts. Then, Bob and Fred swap their gifts. Then, nothing happens for a while. Then, Eve and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Eve swap their gifts. Then, Claire and Bob swap their gifts. Then, Bob and Claire swap their gifts. Then, Dave and Claire swap their gifts. Then, Claire and Dave swap their gifts. Then, Alice and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Alice swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Claire swap their gifts. Then, Claire and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Fred and Dave swap their gifts. Then, Dave and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Dave and Fred swap their gifts. Then, Dave and Eve swap their gifts. Then, Dave and Eve discuss something. Then, Dave and Eve swap their gifts. Then, nothing happens for a while. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something. Then, Dave and Bob swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Alice and Claire swap their gifts. Then, Alice and Claire discuss something. Then, Alice and Claire swap their gifts. Then, nothing happens for a while. Then, Eve and Bob swap their gifts. Then, Eve and Bob discuss something. Then, Eve and Bob swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, nothing happens for a while. Then, Bob and Eve swap their gifts. Then, Bob and Eve discuss something. Then, Bob and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something. Then, Fred and Alice swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Dave and Fred swap their gifts. Then, Fred and Dave swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, nothing happens for a while. Then, Claire and Bob swap their gifts. Then, Claire and Bob discuss something. Then, Claire and Bob swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Gertrude and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, Eve and Gertrude swap their gifts. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude swap their gifts. Then, nothing happens for a while. Then, Bob and Dave swap their gifts. Then, Fred and Alice swap their gifts. Finally, Fred and Eve swap their gifts. At the end of the event, Fred has the\nOptions:\n(A) red present\n(B) purple present\n(C) white present\n(D) brown present\n(E) green present\n(F) blue present\n(G) yellow present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:188", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Izzi, Bob is dancing with Helga, Claire is dancing with Melissa, Dave is dancing with Sam, Eve is dancing with Karl, Fred is dancing with Ophelia, and Gertrude is dancing with Lola.\nThroughout the song, the dancers often trade partners. First, Fred and Eve switch partners. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Eve switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Claire and Eve switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Claire switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Bob switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Bob and Dave switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Fred switch partners. Then, Dave and Fred discuss something. Then, Dave and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Alice switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Claire and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something. Then, Fred and Claire switch partners. Then, Eve and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Eve switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Eve switch partners. Then, Alice and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Eve and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Eve switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Eve and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Eve switch partners. Then, Dave and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Dave and Bob switch partners. Then, Bob and Dave switch partners. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Eve switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Claire and Fred switch partners. Then, Claire and Fred discuss something. Then, Claire and Fred switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, Alice and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Eve and Alice switch partners. Then, Gertrude and Fred switch partners. Finally, Bob and Dave switch partners. At the end of the dance, Fred is dancing with\nOptions:\n(A) Izzi\n(B) Helga\n(C) Melissa\n(D) Sam\n(E) Karl\n(F) Ophelia\n(G) Lola", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:190", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a white ball, Bob has a brown ball, Claire has a blue ball, Dave has a pink ball, Eve has a purple ball, Fred has a black ball, and Gertrude has a yellow ball.\nAs the game progresses, pairs of players trade balls. First, Fred and Dave swap balls. Then, nothing happens for a while. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, nothing happens for a while. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Fred and Eve swap balls. Then, Eve and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Eve and Alice swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Alice and Eve swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Bob and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, Eve and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Fred swap balls. Then, Eve and Fred discuss something. Then, Eve and Fred swap balls. Then, Fred and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Fred swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Eve and Alice swap balls. Then, Eve and Alice discuss something. Then, Eve and Alice swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Eve and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Eve swap balls. Then, Alice and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Alice swap balls. Then, Eve and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Eve swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Gertrude and Claire swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Fred and Eve swap balls. Then, Fred and Eve discuss something. Then, Fred and Eve swap balls. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, nothing happens for a while. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Claire swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Alice and Bob swap balls. Then, Alice and Bob discuss something. Then, Alice and Bob swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Alice and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Alice swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve discuss something. Then, Alice and Eve swap balls. Then, Bob and Dave swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Bob swap balls. Then, nothing happens for a while. Then, Eve and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Bob and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Bob swap balls. Then, nothing happens for a while. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Dave swap balls. Then, Bob and Dave discuss something. Then, Bob and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Eve swap balls. Then, Gertrude and Dave swap balls. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Dave swap balls. Then, Fred and Alice swap balls. Then, Fred and Alice discuss something. Then, Fred and Alice swap balls. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Fred and Alice swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, Alice and Fred swap balls. Then, Claire and Bob swap balls. Then, Bob and Claire swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Dave and Alice swap balls. Then, Alice and Fred swap balls. Then, Fred and Alice swap balls. Then, Alice and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Dave and Bob swap balls. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Dave and Bob swap balls. Then, Dave and Bob discuss something. Then, Dave and Bob swap balls. Then, Fred and Eve swap balls. Then, Eve and Fred swap balls. Then, Eve and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Eve swap balls. Then, Alice and Fred swap balls. Then, Alice and Fred discuss something. Then, Alice and Fred swap balls. Then, nothing happens for a while. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Eve and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Eve swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve swap balls. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Fred and Gertrude swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Dave and Eve swap balls. Then, Eve and Dave swap balls. Then, Fred and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Fred swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Claire and Dave swap balls. Then, Dave and Fred swap balls. Then, Fred and Dave swap balls. Then, Dave and Claire swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Alice and Gertrude swap balls. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude swap balls. Then, Claire and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Fred swap balls. Then, Claire and Fred discuss something. Then, Claire and Fred swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Gertrude swap balls. Then, Gertrude and Bob swap balls. Then, Bob and Fred swap balls. Then, nothing happens for a while. Then, Bob and Claire swap balls. Then, Claire and Eve swap balls. Then, Eve and Claire swap balls. Then, Claire and Bob swap balls. Then, nothing happens for a while. Then, Fred and Bob swap balls. Then, Bob and Fred swap balls. Then, Gertrude and Dave swap balls. Then, Dave and Gertrude swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Alice and Gertrude swap balls. Then, Gertrude and Alice swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Claire swap balls. Then, Claire and Gertrude swap balls. Then, Gertrude and Claire swap balls. Then, Claire and Dave swap balls. Then, Eve and Claire swap balls. Then, Claire and Eve swap balls. Then, Alice and Claire swap balls. Then, Claire and Alice swap balls. Then, nothing happens for a while. Then, Gertrude and Eve swap balls. Then, Eve and Gertrude swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave discuss something. Then, Alice and Dave swap balls. Then, Eve and Bob swap balls. Then, Bob and Claire swap balls. Then, Claire and Bob swap balls. Then, Bob and Eve swap balls. Then, nothing happens for a while. Then, Eve and Fred swap balls. Then, Fred and Eve swap balls. Then, Gertrude and Fred swap balls. Then, Fred and Claire swap balls. Then, Claire and Fred swap balls. Then, Fred and Gertrude swap balls. Then, Alice and Bob swap balls. Then, Bob and Alice swap balls. Then, nothing happens for a while. Then, Dave and Gertrude swap balls. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude swap balls. Then, Dave and Alice swap balls. Then, Alice and Dave swap balls. Then, Alice and Dave swap balls. Then, Dave and Alice swap balls. Then, nothing happens for a while. Then, Gertrude and Fred swap balls. Then, Fred and Gertrude swap balls. Then, nothing happens for a while. Then, nothing happens for a while. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, Fred and Bob swap balls. Then, Bob and Dave swap balls. Then, Dave and Bob swap balls. Then, Bob and Fred swap balls. Then, Gertrude and Fred swap balls. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred swap balls. Then, Gertrude and Claire swap balls. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire swap balls. Then, nothing happens for a while. Then, Alice and Dave swap balls. Then, Dave and Claire swap balls. Then, Claire and Dave swap balls. Then, Dave and Alice swap balls. Then, Claire and Alice swap balls. Then, Alice and Claire swap balls. Then, Fred and Claire swap balls. Then, Fred and Claire discuss something. Then, Fred and Claire swap balls. Then, nothing happens for a while. Then, Eve and Alice swap balls. Then, Alice and Eve swap balls. Then, Alice and Eve swap balls. Then, Eve and Alice swap balls. Then, nothing happens for a while. Then, Alice and Fred swap balls. Then, Bob and Alice swap balls. Finally, Eve and Bob swap balls. At the end of the game, Gertrude has the\nOptions:\n(A) white ball\n(B) brown ball\n(C) blue ball\n(D) pink ball\n(E) purple ball\n(F) black ball\n(G) yellow ball", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:192", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are holding a white elephant gift exchange. At the start of the event, they are each holding a present of a different color: Alice has a brown present, Bob has a yellow present, Claire has a blue present, Dave has a green present, Eve has a pink ball, Fred has a black ball, and Gertrude has a purple present.\nAs the event progresses, pairs of people swap gifts. First, Claire and Bob swap their gifts. Then, Dave and Alice swap their gifts (let's call it Action 1). Then, Alice and Dave swap their gifts (let's call it Action 2). Then, Gertrude and Fred swap their gifts (let's call it Action 3). Then, Gertrude and Fred discuss something (let's call it Action 4). Then, Gertrude and Fred swap their gifts. Then, Fred and Dave swap their gifts (let's call it Action 5). Then, Dave and Gertrude swap their gifts (let's call it Action 6). Then, Gertrude and Dave swap their gifts (let's call it Action 7). Then, Dave and Fred swap their gifts (let's call it Action 8). Then, Gertrude and Dave swap their gifts. Then, Dave and Eve swap their gifts (let's call it Action 9). Then, Eve and Dave swap their gifts (let's call it Action 10). Then, Action 6 repeats. Then, Eve and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Claire and Eve swap their gifts (let's call it Action 11). Then, Eve and Claire swap their gifts (let's call it Action 12). Then, Fred and Gertrude swap their gifts (let's call it Action 13). Then, Gertrude and Bob swap their gifts (let's call it Action 14). Then, Bob and Gertrude swap their gifts (let's call it Action 15). Then, Gertrude and Fred swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Bob swap their gifts (let's call it Action 16). Then, Bob and Dave swap their gifts (let's call it Action 17). Then, Action 9 repeats. Then, nothing happens for a while (let's call it Action 18). Then, nothing happens for a while. Then, Fred and Eve swap their gifts (let's call it Action 19). Then, Eve and Bob swap their gifts (let's call it Action 20). Then, Bob and Eve swap their gifts (let's call it Action 21). Then, Eve and Fred swap their gifts (let's call it Action 22). Then, Bob and Alice swap their gifts (let's call it Action 23). Then, Bob and Alice discuss something (let's call it Action 24). Then, Bob and Alice swap their gifts. Then, nothing happens for a while. Then, Claire and Alice swap their gifts (let's call it Action 25). Then, Alice and Claire swap their gifts (let's call it Action 26). Then, Claire and Gertrude swap their gifts (let's call it Action 27). Then, Action 7 repeats. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts (let's call it Action 28). Then, Fred and Dave swap their gifts. Then, Fred and Dave discuss something (let's call it Action 29). Then, Action 5 repeats. Then, Alice and Fred swap their gifts (let's call it Action 30). Then, Fred and Alice swap their gifts (let's call it Action 31). Then, nothing happens for a while. Then, Eve and Alice swap their gifts (let's call it Action 32). Then, Alice and Eve swap their gifts (let's call it Action 33). Then, Action 8 repeats. Then, Dave and Fred discuss something (let's call it Action 34). Then, Dave and Fred swap their gifts. Then, Action 21 repeats. Then, Eve and Bob swap their gifts. Then, Alice and Dave swap their gifts. Then, Alice and Dave discuss something (let's call it Action 35). Then, Alice and Dave swap their gifts. Then, Fred and Bob swap their gifts (let's call it Action 36). Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts (let's call it Action 37). Then, Fred and Alice swap their gifts. Then, Fred and Alice discuss something (let's call it Action 38). Then, Action 31 repeats. Then, Action 23 repeats. Then, Action 37 repeats. Then, nothing happens for a while. Then, Action 25 repeats. Then, Alice and Claire swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred swap their gifts (let's call it Action 39). Then, Claire and Fred discuss something (let's call it Action 40). Then, Claire and Fred swap their gifts. Then, nothing happens for a while. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Claire and Alice swap their gifts. Then, Action 26 repeats. Then, Gertrude and Claire swap their gifts. Then, Claire and Bob swap their gifts (let's call it Action 41). Then, Bob and Claire swap their gifts (let's call it Action 42). Then, Claire and Gertrude swap their gifts. Then, nothing happens for a while. Then, Eve and Fred swap their gifts. Then, Action 36 repeats. Then, Bob and Fred swap their gifts (let's call it Action 43). Then, Fred and Eve swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Eve and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, nothing happens for a while. Then, Alice and Gertrude swap their gifts (let's call it Action 44). Then, Alice and Gertrude discuss something (let's call it Action 45). Then, Alice and Gertrude swap their gifts. Then, Gertrude and Alice swap their gifts (let's call it Action 46). Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Bob and Fred swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Action 36 repeats. Then, Action 18 repeats. Then, Dave and Claire swap their gifts (let's call it Action 47). Then, Claire and Dave swap their gifts (let's call it Action 48). Then, Dave and Fred swap their gifts. Then, Action 5 repeats. Then, Dave and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Eve and Alice swap their gifts. Then, Action 33 repeats. Then, Action 18 repeats. Then, Gertrude and Bob swap their gifts. Then, Bob and Gertrude swap their gifts. Then, Action 18 repeats. Then, Action 26 repeats. Then, Claire and Alice swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Action 3 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Fred swap their gifts. Then, Dave and Fred discuss something. Then, Dave and Fred swap their gifts. Then, Alice and Bob swap their gifts. Then, Action 23 repeats. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, nothing happens for a while. Then, Action 9 repeats. Then, Dave and Eve discuss something (let's call it Action 49). Then, Dave and Eve swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, nothing happens for a while. Then, Action 7 repeats. Then, Action 1 repeats. Then, Alice and Dave swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Action 14 repeats. Then, Gertrude and Bob discuss something (let's call it Action 50). Then, Gertrude and Bob swap their gifts. Then, Action 37 repeats. Then, Bob and Eve swap their gifts. Then, Eve and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Dave and Gertrude swap their gifts. Then, Gertrude and Dave swap their gifts. Then, Fred and Eve swap their gifts. Then, Eve and Dave swap their gifts. Then, Dave and Eve swap their gifts. Then, Eve and Fred swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Alice and Bob swap their gifts. Then, Bob and Alice swap their gifts. Then, Action 1 repeats. Then, Dave and Alice discuss something (let's call it Action 51). Then, Dave and Alice swap their gifts. Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something (let's call it Action 52). Then, Eve and Dave swap their gifts. Then, Eve and Gertrude swap their gifts (let's call it Action 53). Then, Eve and Dave swap their gifts. Then, Eve and Dave discuss something. Then, Eve and Dave swap their gifts. Then, nothing happens for a while. Then, Fred and Alice swap their gifts. Then, Alice and Fred swap their gifts. Then, Dave and Bob swap their gifts. Then, Dave and Bob discuss something (let's call it Action 54). Then, Dave and Bob swap their gifts. Then, Action 53 repeats. Then, Eve and Gertrude discuss something (let's call it Action 55). Then, Eve and Gertrude swap their gifts. Then, Alice and Gertrude swap their gifts. Then, Action 7 repeats. Then, Action 6 repeats. Then, Gertrude and Alice swap their gifts. Then, Fred and Eve swap their gifts. Then, Fred and Eve discuss something (let's call it Action 56). Then, Fred and Eve swap their gifts. Then, Eve and Gertrude swap their gifts. Then, Gertrude and Claire swap their gifts. Then, Claire and Gertrude swap their gifts. Then, Gertrude and Eve swap their gifts (let's call it Action 57). Then, nothing happens for a while. Then, Dave and Claire swap their gifts. Then, Claire and Eve swap their gifts. Then, Action 12 repeats. Then, Action 48 repeats. Then, nothing happens for a while. Then, Claire and Eve swap their gifts. Then, Eve and Claire swap their gifts. Then, Eve and Alice swap their gifts. Then, Alice and Claire swap their gifts. Then, Claire and Alice swap their gifts. Then, Alice and Eve swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Action 18 repeats. Then, Fred and Claire swap their gifts (let's call it Action 58). Then, Fred and Claire discuss something (let's call it Action 59). Then, Fred and Claire swap their gifts. Then, Action 1 repeats. Then, Action 37 repeats. Then, Bob and Alice swap their gifts. Then, Alice and Dave swap their gifts. Then, Fred and Gertrude swap their gifts. Then, Gertrude and Fred swap their gifts. Then, Action 26 repeats. Then, Claire and Eve swap their gifts. Then, Action 12 repeats. Then, Action 25 repeats. Then, Fred and Gertrude swap their gifts. Then, Fred and Gertrude discuss something (let's call it Action 60). Then, Fred and Gertrude swap their gifts. Then, Alice and Fred swap their gifts. Then, Alice and Fred discuss something (let's call it Action 61). Then, Alice and Fred swap their gifts. Then, nothing happens for a while. Then, Action 12 repeats. Then, Alice and Dave swap their gifts. Finally, Claire and Eve swap their gifts. At the end of the event, Eve has the\nOptions:\n(A) brown present\n(B) yellow present\n(C) blue present\n(D) green present\n(E) pink ball\n(F) black ball\n(G) purple present", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:193", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Ophelia, Claire is dancing with Patrick, Dave is dancing with Jamie, Eve is dancing with Lola, Fred is dancing with Helga, and Gertrude is dancing with Izzi.\nThroughout the song, the dancers often trade partners. First, Alice and Fred switch partners. Then, Bob and Alice switch partners (let's call it Action 1). Then, Alice and Eve switch partners (let's call it Action 2). Then, Eve and Alice switch partners (let's call it Action 3). Then, Alice and Bob switch partners (let's call it Action 4). Then, Gertrude and Claire switch partners (let's call it Action 5). Then, Claire and Gertrude switch partners (let's call it Action 6). Then, nothing happens for a while (let's call it Action 7). Then, Dave and Bob switch partners (let's call it Action 8). Then, Dave and Bob discuss something (let's call it Action 9). Then, Dave and Bob switch partners. Then, Eve and Fred switch partners (let's call it Action 10). Then, Fred and Bob switch partners (let's call it Action 11). Then, Bob and Fred switch partners (let's call it Action 12). Then, Fred and Eve switch partners (let's call it Action 13). Then, Fred and Gertrude switch partners (let's call it Action 14). Then, Gertrude and Alice switch partners (let's call it Action 15). Then, Alice and Gertrude switch partners (let's call it Action 16). Then, Gertrude and Fred switch partners (let's call it Action 17). Then, Gertrude and Dave switch partners (let's call it Action 18). Then, Dave and Gertrude switch partners (let's call it Action 19). Then, Fred and Claire switch partners (let's call it Action 20). Then, Claire and Fred switch partners (let's call it Action 21). Then, Eve and Alice switch partners. Then, Eve and Alice discuss something (let's call it Action 22). Then, Eve and Alice switch partners. Then, Action 1 repeats. Then, Alice and Claire switch partners (let's call it Action 23). Then, Claire and Alice switch partners (let's call it Action 24). Then, Action 4 repeats. Then, Alice and Fred switch partners (let's call it Action 25). Then, Fred and Dave switch partners (let's call it Action 26). Then, Dave and Fred switch partners (let's call it Action 27). Then, Fred and Alice switch partners (let's call it Action 28). Then, Alice and Dave switch partners (let's call it Action 29). Then, Dave and Eve switch partners (let's call it Action 30). Then, Eve and Dave switch partners (let's call it Action 31). Then, Dave and Alice switch partners (let's call it Action 32). Then, Action 23 repeats. Then, Claire and Alice switch partners. Then, Bob and Fred switch partners. Then, Action 11 repeats. Then, Dave and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Dave switch partners. Then, Eve and Claire switch partners (let's call it Action 33). Then, Claire and Eve switch partners (let's call it Action 34). Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Action 17 repeats. Then, Action 14 repeats. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Action 3 repeats. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Action 2 repeats. Then, Fred and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Action 19 repeats. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Claire and Bob switch partners (let's call it Action 35). Then, Claire and Bob discuss something (let's call it Action 36). Then, Claire and Bob switch partners. Then, Action 7 repeats. Then, Gertrude and Eve switch partners (let's call it Action 37). Then, Bob and Dave switch partners (let's call it Action 38). Then, Dave and Claire switch partners (let's call it Action 39). Then, Claire and Dave switch partners (let's call it Action 40). Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Action 1 repeats. Then, Alice and Bob switch partners. Then, Alice and Dave switch partners. Then, Dave and Bob switch partners. Then, Action 38 repeats. Then, Action 32 repeats. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Fred and Claire switch partners. Then, Fred and Claire discuss something (let's call it Action 41). Then, Fred and Claire switch partners. Then, nothing happens for a while. Then, Claire and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something (let's call it Action 42). Then, Bob and Dave switch partners. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something (let's call it Action 43). Then, Fred and Gertrude switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Action 6 repeats. Then, Claire and Gertrude discuss something (let's call it Action 44). Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something (let's call it Action 45). Then, Action 5 repeats. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Action 16 repeats. Then, Action 17 repeats. Then, Alice and Claire switch partners. Then, Claire and Eve switch partners. Then, Action 33 repeats. Then, Claire and Alice switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Action 14 repeats. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, Action 8 repeats. Then, Bob and Claire switch partners (let's call it Action 46). Then, Eve and Alice switch partners. Then, Action 2 repeats. Then, Fred and Bob switch partners. Then, Fred and Bob discuss something (let's call it Action 47). Then, Fred and Bob switch partners. Then, Gertrude and Alice switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Eve switch partners. Then, Action 10 repeats. Then, Action 11 repeats. Then, Eve and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Action 13 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Action 7 repeats. Then, Gertrude and Bob switch partners (let's call it Action 48). Then, Action 38 repeats. Then, Dave and Bob switch partners. Then, Bob and Gertrude switch partners (let's call it Action 49). Then, Fred and Dave switch partners. Then, Fred and Dave discuss something (let's call it Action 50). Then, Fred and Dave switch partners. Then, Bob and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Bob switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Fred and Dave switch partners. Then, Action 27 repeats. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something (let's call it Action 51). Then, Alice and Bob switch partners. Then, Eve and Bob switch partners (let's call it Action 52). Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Eve switch partners (let's call it Action 53). Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Action 37 repeats. Then, Eve and Gertrude switch partners (let's call it Action 54). Then, Action 7 repeats. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something (let's call it Action 55). Then, Claire and Eve switch partners. Then, Action 1 repeats. Then, Action 27 repeats. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Action 12 repeats. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Action 8 repeats. Then, Action 8 repeats. Then, Bob and Dave switch partners. Then, Action 7 repeats. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something (let's call it Action 56). Then, Action 32 repeats. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Bob switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Action 54 repeats. Then, Gertrude and Fred switch partners. Then, Gertrude and Dave switch partners. Then, Action 19 repeats. Then, Action 48 repeats. Then, Gertrude and Bob discuss something (let's call it Action 57). Then, Gertrude and Bob switch partners. Then, nothing happens for a while. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something (let's call it Action 58). Then, Bob and Alice switch partners. Then, Action 7 repeats. Then, Fred and Alice switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Action 25 repeats. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something (let's call it Action 59). Then, Eve and Dave switch partners. Then, Action 32 repeats. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Dave switch partners. Then, Action 12 repeats. Then, Fred and Bob switch partners. Then, Alice and Eve switch partners. Then, Alice and Eve discuss something (let's call it Action 60). Then, Action 2 repeats. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Action 40 repeats. Then, Action 32 repeats. Then, Action 29 repeats. Then, Dave and Claire switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Action 5 repeats. Then, Action 45 repeats. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Action 33 repeats. Then, Action 7 repeats. Then, nothing happens for a while. Then, Action 34 repeats. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Action 24 repeats. Then, Alice and Claire switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Action 39 repeats. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Dave switch partners. Then, Action 37 repeats. Then, Eve and Alice switch partners. Then, Action 2 repeats. Then, Eve and Gertrude switch partners. Then, Action 10 repeats. Then, Eve and Fred discuss something (let's call it Action 61). Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Bob switch partners. Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, Action 24 repeats. Then, Alice and Fred switch partners. Then, Action 14 repeats. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 15 repeats. Then, Action 34 repeats. Then, Eve and Claire switch partners. Then, Dave and Fred switch partners. Then, Eve and Alice switch partners. Finally, Eve and Claire switch partners. At the end of the dance, Gertrude is dancing with\nOptions:\n(A) Melissa\n(B) Ophelia\n(C) Patrick\n(D) Jamie\n(E) Lola\n(F) Helga\n(G) Izzi", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:194", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are on the same team in a soccer match. At the start of the match, they are each assigned to a position: Alice is playing left winger, Bob is playing center midfielder, Claire is playing left midfielder, Dave is playing fullback, Eve is playing benchwarmer, Fred is playing right winger, and Gertrude is playing cheerleader.\nAs the game progresses, pairs of players occasionally swap positions. First, Gertrude and Eve trade positions. Then, Eve and Fred trade positions (let's call it Action 1). Then, Fred and Gertrude trade positions (let's call it Action 2). Then, Gertrude and Fred trade positions (let's call it Action 3). Then, Fred and Eve trade positions (let's call it Action 4). Then, Gertrude and Alice trade positions (let's call it Action 5). Then, Alice and Gertrude trade positions (let's call it Action 6). Then, Dave and Bob trade positions (let's call it Action 7). Then, Dave and Bob discuss something (let's call it Action 8). Then, Action 7 repeats. Then, Bob and Dave trade positions (let's call it Action 9). Then, Dave and Bob trade positions. Then, Fred and Alice trade positions (let's call it Action 10). Then, Alice and Fred trade positions (let's call it Action 11). Then, Gertrude and Bob trade positions (let's call it Action 12). Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Bob and Gertrude trade positions (let's call it Action 13). Then, Gertrude and Eve trade positions (let's call it Action 14). Then, Eve and Dave trade positions (let's call it Action 15). Then, Dave and Eve trade positions (let's call it Action 16). Then, Eve and Gertrude trade positions (let's call it Action 17). Then, Alice and Claire trade positions (let's call it Action 18). Then, Claire and Gertrude trade positions (let's call it Action 19). Then, Gertrude and Claire trade positions (let's call it Action 20). Then, Claire and Alice trade positions (let's call it Action 21). Then, Bob and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 9 repeats. Then, Dave and Fred trade positions (let's call it Action 22). Then, Fred and Dave trade positions (let's call it Action 23). Then, Dave and Bob trade positions. Then, Fred and Eve trade positions. Then, Eve and Alice trade positions (let's call it Action 24). Then, Alice and Eve trade positions (let's call it Action 25). Then, Eve and Fred trade positions. Then, Gertrude and Alice trade positions. Then, Action 6 repeats. Then, nothing happens for a while (let's call it Action 26). Then, Claire and Gertrude trade positions. Then, Claire and Gertrude discuss something (let's call it Action 27). Then, Action 19 repeats. Then, Action 26 repeats. Then, Dave and Gertrude trade positions (let's call it Action 28). Then, Gertrude and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Gertrude and Dave trade positions (let's call it Action 29). Then, Eve and Dave trade positions. Then, Action 16 repeats. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something (let's call it Action 30). Then, Alice and Eve trade positions. Then, Claire and Fred trade positions (let's call it Action 31). Then, Action 4 repeats. Then, Eve and Fred trade positions. Then, Fred and Claire trade positions (let's call it Action 32). Then, nothing happens for a while. Then, Action 11 repeats. Then, Alice and Fred discuss something (let's call it Action 33). Then, Alice and Fred trade positions. Then, Claire and Eve trade positions (let's call it Action 34). Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Claire trade positions (let's call it Action 35). Then, Dave and Claire trade positions (let's call it Action 36). Then, Claire and Dave trade positions (let's call it Action 37). Then, Eve and Claire trade positions. Then, Claire and Eve trade positions. Then, nothing happens for a while. Then, Bob and Claire trade positions (let's call it Action 38). Then, Bob and Claire discuss something (let's call it Action 39). Then, Bob and Claire trade positions. Then, Fred and Bob trade positions (let's call it Action 40). Then, Fred and Bob discuss something (let's call it Action 41). Then, Action 40 repeats. Then, Action 31 repeats. Then, Action 23 repeats. Then, Action 22 repeats. Then, Fred and Claire trade positions. Then, Action 26 repeats. Then, nothing happens for a while. Then, Action 38 repeats. Then, Claire and Bob trade positions (let's call it Action 42). Then, nothing happens for a while. Then, Claire and Eve trade positions. Then, Action 1 repeats. Then, Fred and Eve trade positions. Then, Eve and Claire trade positions. Then, Eve and Fred trade positions. Then, Eve and Fred discuss something (let's call it Action 43). Then, Eve and Fred trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Fred and Claire trade positions. Then, Fred and Claire discuss something (let's call it Action 44). Then, Action 32 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve trade positions. Then, Action 15 repeats. Then, Action 26 repeats. Then, Action 32 repeats. Then, Claire and Fred trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Eve and Bob trade positions (let's call it Action 45). Then, Eve and Alice trade positions. Then, Eve and Alice discuss something (let's call it Action 46). Then, Eve and Alice trade positions. Then, Eve and Bob trade positions. Then, Eve and Bob discuss something (let's call it Action 47). Then, Action 45 repeats. Then, Dave and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Dave trade positions. Then, Action 7 repeats. Then, Bob and Eve trade positions (let's call it Action 48). Then, Eve and Bob trade positions. Then, Action 9 repeats. Then, nothing happens for a while. Then, Action 18 repeats. Then, Claire and Alice trade positions. Then, Bob and Claire trade positions. Then, Claire and Dave trade positions. Then, Dave and Claire trade positions. Then, Claire and Bob trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Dave and Eve trade positions. Then, Action 1 repeats. Then, Action 4 repeats. Then, Eve and Dave trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Bob and Claire trade positions. Then, Action 39 repeats. Then, Bob and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Claire trade positions. Then, Gertrude and Claire trade positions. Then, Gertrude and Claire discuss something (let's call it Action 49). Then, Gertrude and Claire trade positions. Then, Dave and Eve trade positions. Then, Eve and Claire trade positions. Then, Action 34 repeats. Then, Eve and Dave trade positions. Then, Eve and Bob trade positions. Then, Bob and Alice trade positions (let's call it Action 50). Then, Alice and Bob trade positions (let's call it Action 51). Then, Bob and Eve trade positions. Then, nothing happens for a while. Then, Action 26 repeats. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Bob and Fred trade positions (let's call it Action 52). Then, Gertrude and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Eve and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Bob trade positions. Then, Action 48 repeats. Then, nothing happens for a while. Then, Eve and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Action 20 repeats. Then, Claire and Eve trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Claire trade positions. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something (let's call it Action 53). Then, Gertrude and Fred trade positions. Then, Bob and Dave trade positions. Then, Alice and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Eve and Alice trade positions. Then, Fred and Alice trade positions. Then, Alice and Fred trade positions. Then, Dave and Gertrude trade positions. Then, Action 12 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Action 26 repeats. Then, Action 32 repeats. Then, Action 31 repeats. Then, Alice and Fred trade positions. Then, Action 33 repeats. Then, Alice and Fred trade positions. Then, Action 18 repeats. Then, Claire and Alice trade positions. Then, Claire and Bob trade positions. Then, Action 38 repeats. Then, Alice and Bob trade positions. Then, Alice and Bob discuss something (let's call it Action 54). Then, Action 51 repeats. Then, nothing happens for a while. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Alice and Eve trade positions. Then, Action 24 repeats. Then, Bob and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Action 29 repeats. Then, Action 7 repeats. Then, Eve and Fred trade positions. Then, Fred and Eve trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Claire and Fred trade positions. Then, Claire and Fred discuss something (let's call it Action 55). Then, Claire and Fred trade positions. Then, Fred and Gertrude trade positions. Then, Fred and Gertrude discuss something (let's call it Action 56). Then, Action 2 repeats. Then, Alice and Claire trade positions. Then, Action 19 repeats. Then, Gertrude and Claire trade positions. Then, Claire and Alice trade positions. Then, Alice and Eve trade positions. Then, Action 15 repeats. Then, Dave and Eve trade positions. Then, Action 24 repeats. Then, Action 2 repeats. Then, Gertrude and Fred trade positions. Then, Action 13 repeats. Then, Bob and Gertrude discuss something (let's call it Action 57). Then, Action 13 repeats. Then, Alice and Eve trade positions. Then, Alice and Eve discuss something. Then, Alice and Eve trade positions. Then, Claire and Bob trade positions. Then, Bob and Claire trade positions. Then, Dave and Eve trade positions. Then, Eve and Alice trade positions. Then, Alice and Eve trade positions. Then, Eve and Dave trade positions. Then, Gertrude and Fred trade positions. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred trade positions. Then, Action 23 repeats. Then, Dave and Fred trade positions. Then, Alice and Dave trade positions (let's call it Action 58). Then, Alice and Dave discuss something (let's call it Action 59). Then, Action 58 repeats. Then, Action 25 repeats. Then, Action 24 repeats. Then, Action 25 repeats. Then, Action 24 repeats. Then, nothing happens for a while. Then, Claire and Dave trade positions. Then, Claire and Dave discuss something (let's call it Action 60). Then, Claire and Dave trade positions. Then, nothing happens for a while. Then, Action 7 repeats. Then, Dave and Bob discuss something. Then, Dave and Bob trade positions. Then, Fred and Claire trade positions. Then, Claire and Fred trade positions. Then, Fred and Dave trade positions. Then, Fred and Dave discuss something (let's call it Action 61). Then, Fred and Dave trade positions. Then, Eve and Gertrude trade positions. Then, Eve and Gertrude discuss something (let's call it Action 62). Then, Eve and Gertrude trade positions. Then, nothing happens for a while. Then, Alice and Claire trade positions. Then, Alice and Claire discuss something (let's call it Action 63). Then, Action 18 repeats. Then, Action 20 repeats. Then, Gertrude and Dave trade positions. Then, Dave and Eve trade positions. Then, Eve and Dave trade positions. Then, Dave and Gertrude trade positions. Then, nothing happens for a while. Then, Bob and Claire trade positions. Then, Claire and Eve trade positions. Then, Eve and Claire trade positions. Then, Claire and Bob trade positions. Then, nothing happens for a while. Then, Claire and Bob trade positions. Then, Action 52 repeats. Then, Fred and Bob trade positions. Then, Bob and Claire trade positions. Then, Claire and Fred trade positions. Then, Action 55 repeats. Then, Action 31 repeats. Then, Action 36 repeats. Then, Dave and Claire discuss something (let's call it Action 64). Then, Dave and Claire trade positions. Then, Fred and Bob trade positions. Then, Bob and Fred trade positions. Then, Bob and Eve trade positions. Then, Eve and Fred trade positions. Then, Action 4 repeats. Then, Eve and Bob trade positions. Then, Fred and Bob trade positions. Then, Fred and Bob discuss something. Then, Fred and Bob trade positions. Then, Action 12 repeats. Then, Bob and Dave trade positions. Then, Dave and Bob trade positions. Then, Action 13 repeats. Then, Bob and Gertrude trade positions. Then, Gertrude and Dave trade positions. Then, Dave and Gertrude trade positions. Then, Gertrude and Bob trade positions. Then, Fred and Eve trade positions. Then, Eve and Gertrude trade positions. Then, Gertrude and Eve trade positions. Then, Action 1 repeats. Then, Action 26 repeats. Then, Bob and Claire trade positions. Then, Action 21 repeats. Then, Alice and Claire trade positions. Then, Claire and Bob trade positions. Then, Action 28 repeats. Then, Gertrude and Claire trade positions. Then, Claire and Gertrude trade positions. Then, Action 29 repeats. Then, nothing happens for a while. Then, Bob and Dave trade positions. Then, Action 7 repeats. Then, Alice and Fred trade positions. Then, Fred and Alice trade positions. Then, Action 26 repeats. Then, Bob and Eve trade positions. Then, Eve and Alice trade positions. Finally, Fred and Bob trade positions. At the end of the match, Bob is playing\nOptions:\n(A) left winger\n(B) center midfielder\n(C) left midfielder\n(D) fullback\n(E) benchwarmer\n(F) right winger\n(G) cheerleader", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:195", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Jamie, Bob is dancing with Ophelia, Claire is dancing with Helga, Dave is dancing with Patrick, Eve is dancing with Rodrigo, Fred is dancing with Izzi, and Gertrude is dancing with Lola.\nThroughout the song, the dancers often trade partners. First, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners (let's call it Action 1). Then, Gertrude and Claire switch partners (let's call it Action 2). Then, Claire and Gertrude switch partners (let's call it Action 3). Then, Gertrude and Eve switch partners (let's call it Action 4). Then, Alice and Gertrude switch partners (let's call it Action 5). Then, Alice and Gertrude discuss something (let's call it Action 6). Then, Alice and Gertrude switch partners. Then, Bob and Eve switch partners (let's call it Action 7). Then, Bob and Eve discuss something (let's call it Action 8). Then, Action 7 repeats. Then, Claire and Eve switch partners (let's call it Action 9). Then, Eve and Gertrude switch partners. Then, Action 4 repeats. Then, Eve and Claire switch partners (let's call it Action 10). Then, nothing happens for a while (let's call it Action 11). Then, nothing happens for a while. Then, nothing happens for a while. Then, Action 2 repeats. Then, Gertrude and Claire discuss something (let's call it Action 12). Then, Gertrude and Claire switch partners. Then, Fred and Bob switch partners (let's call it Action 13). Then, Fred and Bob discuss something (let's call it Action 14). Then, Fred and Bob switch partners. Then, Gertrude and Fred switch partners (let's call it Action 15). Then, Gertrude and Fred discuss something (let's call it Action 16). Then, Action 15 repeats. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners (let's call it Action 17). Then, Fred and Dave switch partners (let's call it Action 18). Then, Dave and Fred switch partners (let's call it Action 19). Then, nothing happens for a while. Then, Claire and Eve switch partners. Then, Claire and Eve discuss something (let's call it Action 20). Then, Action 9 repeats. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something (let's call it Action 21). Then, Fred and Dave switch partners. Then, Claire and Bob switch partners (let's call it Action 22). Then, Bob and Eve switch partners. Then, Action 17 repeats. Then, Bob and Claire switch partners (let's call it Action 23). Then, nothing happens for a while. Then, Action 5 repeats. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Alice switch partners (let's call it Action 24). Then, nothing happens for a while. Then, Fred and Eve switch partners (let's call it Action 25). Then, Eve and Dave switch partners (let's call it Action 26). Then, Dave and Eve switch partners (let's call it Action 27). Then, Eve and Fred switch partners (let's call it Action 28). Then, Eve and Claire switch partners. Then, Eve and Claire discuss something (let's call it Action 29). Then, Action 10 repeats. Then, Action 11 repeats. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners (let's call it Action 30). Then, Bob and Gertrude switch partners (let's call it Action 31). Then, Bob and Gertrude discuss something (let's call it Action 32). Then, Bob and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Action 26 repeats. Then, Action 26 repeats. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something (let's call it Action 33). Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something (let's call it Action 34). Then, Fred and Eve switch partners. Then, Eve and Alice switch partners (let's call it Action 35). Then, Fred and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Fred switch partners (let's call it Action 36). Then, Action 17 repeats. Then, Eve and Bob discuss something (let's call it Action 37). Then, Action 17 repeats. Then, Gertrude and Dave switch partners (let's call it Action 38). Then, Gertrude and Dave discuss something (let's call it Action 39). Then, Action 38 repeats. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Claire and Fred switch partners (let's call it Action 40). Then, Fred and Alice switch partners (let's call it Action 41). Then, Alice and Fred switch partners (let's call it Action 42). Then, Fred and Claire switch partners (let's call it Action 43). Then, Action 11 repeats. Then, nothing happens for a while. Then, nothing happens for a while. Then, Bob and Dave switch partners (let's call it Action 44). Then, Dave and Bob switch partners (let's call it Action 45). Then, Bob and Alice switch partners (let's call it Action 46). Then, Bob and Alice discuss something (let's call it Action 47). Then, Action 46 repeats. Then, Action 45 repeats. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something (let's call it Action 48). Then, Gertrude and Eve switch partners. Then, Claire and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Claire switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Bob switch partners (let's call it Action 49). Then, Bob and Gertrude switch partners. Then, Action 22 repeats. Then, Action 23 repeats. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Action 11 repeats. Then, nothing happens for a while. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Action 11 repeats. Then, Gertrude and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Alice switch partners. Then, Alice and Bob switch partners (let's call it Action 50). Then, Fred and Bob switch partners. Then, Fred and Bob discuss something. Then, Action 13 repeats. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something (let's call it Action 51). Then, Alice and Bob switch partners. Then, nothing happens for a while. Then, Gertrude and Dave switch partners. Then, Dave and Bob switch partners. Then, Action 44 repeats. Then, Dave and Gertrude switch partners (let's call it Action 52). Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something (let's call it Action 53). Then, Action 3 repeats. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Claire and Fred switch partners. Then, Action 43 repeats. Then, Claire and Alice switch partners (let's call it Action 54). Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners (let's call it Action 55). Then, Eve and Dave switch partners. Then, Action 27 repeats. Then, Dave and Claire switch partners (let's call it Action 56). Then, Claire and Dave switch partners (let's call it Action 57). Then, Action 56 repeats. Then, Action 57 repeats. Then, Action 22 repeats. Then, Claire and Bob discuss something (let's call it Action 58). Then, Claire and Bob switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners (let's call it Action 59). Then, Action 36 repeats. Then, Fred and Dave switch partners. Then, Action 19 repeats. Then, Action 13 repeats. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something (let's call it Action 60). Then, Eve and Dave switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Gertrude discuss something (let's call it Action 61). Then, Action 1 repeats. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something (let's call it Action 62). Then, Dave and Gertrude switch partners. Then, nothing happens for a while. Then, Action 7 repeats. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Eve and Fred switch partners. Then, Eve and Fred discuss something (let's call it Action 63). Then, Action 28 repeats. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Alice and Dave switch partners (let's call it Action 64). Then, Dave and Alice switch partners (let's call it Action 65). Then, Action 11 repeats. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something (let's call it Action 66). Then, Dave and Bob switch partners. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Action 23 repeats. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Gertrude switch partners. Then, nothing happens for a while. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Action 49 repeats. Then, Bob and Fred switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Action 12 repeats. Then, Action 2 repeats. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something (let's call it Action 67). Then, Action 44 repeats. Then, Dave and Claire switch partners. Then, Claire and Dave switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Eve and Bob switch partners. Then, Action 37 repeats. Then, Eve and Bob switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something (let's call it Action 68). Then, Action 56 repeats. Then, Action 1 repeats. Then, Eve and Gertrude discuss something. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Fred and Eve discuss something. Then, Fred and Eve switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Fred and Alice switch partners. Then, Claire and Eve switch partners. Finally, Eve and Bob switch partners. At the end of the dance, Alice is dancing with\nOptions:\n(A) Jamie\n(B) Ophelia\n(C) Helga\n(D) Patrick\n(E) Rodrigo\n(F) Izzi\n(G) Lola", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:shuffled_objects:196", "request": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Lola, Bob is dancing with Ophelia, Claire is dancing with Sam, Dave is dancing with Helga, Eve is dancing with Patrick, Fred is dancing with Jamie, and Gertrude is dancing with Rodrigo.\nThroughout the song, the dancers often trade partners. First, Fred and Bob switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Fred switch partners. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Bob and Gertrude discuss something. Then, Bob and Gertrude switch partners. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Eve switch partners. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Eve and Dave switch partners. Then, Eve and Dave discuss something. Then, Eve and Dave switch partners. Then, Fred and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Fred switch partners. Then, Claire and Dave switch partners. Then, Dave and Claire switch partners. Then, nothing happens for a while. Then, Gertrude and Bob switch partners. Then, Gertrude and Bob discuss something. Then, Gertrude and Bob switch partners. Then, Claire and Bob switch partners. Then, Claire and Bob discuss something. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Dave switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Bob switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, Claire and Gertrude switch partners. Then, Claire and Gertrude discuss something. Then, Claire and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, nothing happens for a while. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, nothing happens for a while. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Gertrude switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Gertrude and Claire switch partners. Then, Gertrude and Claire discuss something. Then, Gertrude and Claire switch partners. Then, Fred and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Fred switch partners. Then, Dave and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Dave switch partners. Then, Eve and Claire switch partners. Then, Eve and Claire discuss something. Then, Eve and Claire switch partners. Then, Eve and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Fred and Gertrude switch partners. Then, Fred and Gertrude discuss something. Then, Fred and Gertrude switch partners. Then, Claire and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Claire switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Claire switch partners. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Dave switch partners. Then, Dave and Eve switch partners. Then, Eve and Dave switch partners. Then, nothing happens for a while. Then, Bob and Fred switch partners. Then, Bob and Fred discuss something. Then, Bob and Fred switch partners. Then, Dave and Claire switch partners. Then, Dave and Claire discuss something. Then, Dave and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Claire and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, nothing happens for a while. Then, Bob and Dave switch partners. Then, Bob and Dave discuss something. Then, Bob and Dave switch partners. Then, Bob and Alice switch partners. Then, Bob and Alice discuss something. Then, Bob and Alice switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Dave switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Fred switch partners. Then, Fred and Eve switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Fred and Bob switch partners. Then, Fred and Bob discuss something. Then, Fred and Bob switch partners. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Gertrude and Eve switch partners. Then, Bob and Eve switch partners. Then, Eve and Bob switch partners. Then, Claire and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Claire switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Bob switch partners. Then, Alice and Bob discuss something. Then, Alice and Bob switch partners. Then, Dave and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Dave switch partners. Then, nothing happens for a while. Then, Alice and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Alice switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, nothing happens for a while. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Fred and Eve switch partners. Then, Alice and Gertrude switch partners. Then, Alice and Gertrude discuss something. Then, Alice and Gertrude switch partners. Then, Dave and Alice switch partners. Then, Dave and Alice discuss something. Then, Dave and Alice switch partners. Then, nothing happens for a while. Then, Gertrude and Fred switch partners. Then, Gertrude and Fred discuss something. Then, Gertrude and Fred switch partners. Then, nothing happens for a while. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Eve switch partners. Then, Gertrude and Dave switch partners. Then, Gertrude and Dave discuss something. Then, Gertrude and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Eve switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, Eve and Gertrude switch partners. Then, nothing happens for a while. Then, Dave and Gertrude switch partners. Then, Dave and Gertrude discuss something. Then, Dave and Gertrude switch partners. Then, Fred and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Bob and Claire switch partners. Then, Claire and Eve switch partners. Then, Eve and Claire switch partners. Then, Claire and Bob switch partners. Then, nothing happens for a while. Then, Alice and Fred switch partners. Then, Fred and Alice switch partners. Then, Alice and Claire switch partners. Then, Claire and Alice switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Dave and Bob switch partners. Then, Dave and Bob discuss something. Then, Dave and Bob switch partners. Then, Alice and Claire switch partners. Then, Claire and Bob switch partners. Then, Bob and Claire switch partners. Then, Claire and Alice switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, nothing happens for a while. Then, Claire and Alice switch partners. Then, Claire and Alice discuss something. Then, Claire and Alice switch partners. Then, Claire and Fred switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Fred and Bob switch partners. Then, Bob and Dave switch partners. Then, Dave and Bob switch partners. Then, Bob and Fred switch partners. Then, Dave and Fred switch partners. Then, Fred and Dave switch partners. Then, Fred and Alice switch partners. Then, Alice and Fred switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Claire and Fred switch partners. Then, Fred and Claire switch partners. Then, Claire and Alice switch partners. Then, Eve and Fred switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Fred and Eve switch partners. Then, Gertrude and Eve switch partners. Then, Gertrude and Eve discuss something. Then, Gertrude and Eve switch partners. Then, Eve and Bob switch partners. Then, Eve and Bob discuss something. Then, Eve and Bob switch partners. Then, Bob and Eve switch partners. Then, Bob and Eve discuss something. Then, Bob and Eve switch partners. Then, Alice and Dave switch partners. Then, Alice and Dave discuss something. Then, Alice and Dave switch partners. Then, Eve and Alice switch partners. Then, Alice and Eve switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, nothing happens for a while. Then, Dave and Eve switch partners. Then, Dave and Eve discuss something. Then, Dave and Eve switch partners. Then, Alice and Eve switch partners. Then, Eve and Alice switch partners. Then, Bob and Claire switch partners. Then, Claire and Bob switch partners. Then, Alice and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Fred and Dave switch partners. Then, Fred and Dave discuss something. Then, Fred and Dave switch partners. Then, Bob and Gertrude switch partners. Then, Gertrude and Fred switch partners. Then, Fred and Gertrude switch partners. Then, Gertrude and Bob switch partners. Then, Alice and Gertrude switch partners. Then, Gertrude and Alice switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Gertrude and Bob switch partners. Then, Bob and Fred switch partners. Then, Fred and Bob switch partners. Then, Bob and Gertrude switch partners. Then, Fred and Alice switch partners. Then, Fred and Alice discuss something. Then, Fred and Alice switch partners. Then, nothing happens for a while. Then, Alice and Claire switch partners. Then, Alice and Claire discuss something. Then, Alice and Claire switch partners. Then, Claire and Gertrude switch partners. Then, Gertrude and Claire switch partners. Then, Fred and Dave switch partners. Then, Dave and Fred switch partners. Then, Gertrude and Alice switch partners. Then, Gertrude and Alice discuss something. Then, Gertrude and Alice switch partners. Then, Fred and Bob switch partners. Then, Fred and Bob discuss something. Then, Fred and Bob switch partners. Then, Alice and Dave switch partners. Then, Dave and Gertrude switch partners. Then, Gertrude and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Fred switch partners. Then, Alice and Fred discuss something. Then, Alice and Fred switch partners. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Eve switch partners. Then, nothing happens for a while. Then, Gertrude and Eve switch partners. Then, Eve and Gertrude switch partners. Then, Eve and Dave switch partners. Then, Dave and Alice switch partners. Then, Alice and Dave switch partners. Then, Dave and Eve switch partners. Then, Gertrude and Alice switch partners. Then, Alice and Bob switch partners. Finally, Dave and Fred switch partners. At the end of the dance, Claire is dancing with\nOptions:\n(A) Lola\n(B) Ophelia\n(C) Sam\n(D) Helga\n(E) Patrick\n(F) Jamie\n(G) Rodrigo", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:001", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a cell phone. Then you move down-right for one step and see a carrot. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a crib. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a printer. Then you move down-left for one step and see a plum. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a backpack. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a stone. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a towel. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a walnut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a toy. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a tiger. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a spoon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a can. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step and see a blueberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a doll. Then you don't move for a while. Then you move down-right for one step and see a watermelon. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a statue. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a shampoo. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a paper. Then you don't move for a while. Then you move left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a cake. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step and see a pen. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step. Then you move left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a flower. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a grater. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a strawberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a lamp. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you don't move for a while. Then you move up-right for one step and see a bean. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:002", "request": "You have been given a tree structure with 284 nodes. menu, ruler, photograph, and vacuum are siblings. change has no grandchildren but has 4 children: resilience, airplane, hair, and power. sofa has no grandchildren. film has no grandchildren. leadership has no grandchildren. medicine has no children. society has no children. remote has 5 children: toothpaste, charger, change, current, and desert. paper has no grandchildren. card has no children. sales has no children. scarf has no children. glass has no children. photograph has 5 children: festival, spinach, contrast, advertisement, and kiwi. evaluation has no children. machine has no children. enterprise has 5 children: glue, voltage, custom, soup, and light. inductor has no grandchildren. train has no grandchildren but has 3 children: fabric, beach, and problem. switch has no grandchildren. tool has no grandchildren. password has no children. contrast has 8 grandchildren: hill, astronomy, evaluation, header, and switch (whose parent is initiative) and claw, nose, and biology (whose parent is movement). steak has no grandchildren. shield has no grandchildren. application has no children. tooth has no grandchildren. desk has 4 children: medicine, sofa, snow, and shell. forest has no grandchildren. rock has no children. shovel has no children. movie has no grandchildren but has 4 children: tradition, cursor, tomato, and shirt. clip has 5 children: profile, commit, tool, planet, and glass. tablet has no grandchildren. efficiency has no children. petal has no children. branch has no grandchildren. guideline has no grandchildren. furniture has no grandchildren. widget has no grandchildren. chicken has no grandchildren. gate has no grandchildren. weight has no children. mirror has no children. label has no grandchildren. accountability has no grandchildren. resistor has no children. article has no children. matrix has 14 grandchildren: plastic, sheet, and resistor (whose parent is lock), tongue, marker, and inductor (whose parent is hardware), parameter, rock, and threat (whose parent is wallet), and linguistics, gathering, law, activation, and city (whose parent is museum). resistance has no grandchildren. claw has no children. sequin has no children. form has no grandchildren. glasses has no children. font has no grandchildren. instrument has no grandchildren. dustpan has no grandchildren. brush has no children. poem has no grandchildren. address has no children. checkbox has 4 children: geology, corn, clip, and train. corporation has no grandchildren. shell has no children. profile has no grandchildren. menu has 3 children: matrix, brain, and stapler. star has 19 grandchildren: glasses, diversity, sugar, and layer (whose parent is banner), analog, bread, sales, and goose (whose parent is anthropology), piano and fries (whose parent is technology), password, bridge, celery, and tooth (whose parent is experiment), and potato, earth, boat, steak, and structure (whose parent is leather). accessory has no children. stapler has 11 grandchildren: patch and status (whose parent is library), history, account, gate, and pill (whose parent is lime), and screwdriver, sequin, speaker, chair, and paper (whose parent is necklace). document has no children. piano has no grandchildren. narrative has no children. smile has 7 grandchildren: forest, package, and pants (whose parent is ice) and alert, optimization, vehicle, and leadership (whose parent is cluster). fries has no grandchildren. coin has no grandchildren. vehicle has no grandchildren. kiwi has 4 children: zebra, plum, desk, and elephant. rope has no children. bandage has no children. mouse has no grandchildren. screw has two children; toy and butter. cable has no grandchildren. pizza has no grandchildren but has 5 children: music, socks, depth, knife, and conclusion. butter has no grandchildren. brain has 4 children: risk, process, statistic, and screw. sparkle has no children. icecream has 9 grandchildren: shovel and plane (whose parent is bucket), key and stove (whose parent is phone), and bulb, furniture, mop, pin, and forecast (whose parent is sky). plan has no children. bread has no children. celery has no grandchildren. light has no children. corn has no grandchildren but has 5 children: gloves, rubber, future, economics, and motivation. risk has no grandchildren but has 5 children: horse, finger, simulation, cache, and goat. boat has no grandchildren. sugar has no grandchildren. muscle has no children. soup has no grandchildren. commit has no children. history has no grandchildren. current has 4 children: mouse, sustainability, dustpan, and pliers. status has no children. bracelet has no grandchildren. ladder has no children. package has no children. stove has no children. politics has no children. snail has no children. threat has no grandchildren. temple has no grandchildren. zebra has no grandchildren but has 4 children: bowl, influence, cloth, and service. shrimp has no grandchildren. port has no children. peach has no grandchildren. challenge has no grandchildren. speaker has no grandchildren. pin has no children. alert has no grandchildren. peace has no children. mathematics has no grandchildren. plastic has no children. desert has 4 children: sociology, weight, hate, and shrimp. sheet has no grandchildren. equipment has no grandchildren. mop has no grandchildren. disc has no children. pie has no children. silence has no grandchildren. gathering has no grandchildren. cherry has no children. advertisement has 8 grandchildren: resistance and turtle (whose parent is hand), topic, brush, and accessory (whose parent is mango), and snake, poem, and article (whose parent is transistor). earth has no children. environment has 13 grandchildren: coffee and rope (whose parent is idea), socket, widget, notebook, and towel (whose parent is video), content, machine, challenge, and document (whose parent is button), and bandage, calendar, and port (whose parent is tiger). elephant has no grandchildren but has 5 children: building, rocket, crown, bee, and shape. food has no grandchildren. eraser has no grandchildren. calendar has no children. law has no grandchildren. patch has no children. forecast has no children. sustainability has no children. astronomy has no children. charger has no grandchildren but has 4 children: lake, color, microphone, and tensor. spinach has two children; holiday and table. festival has 18 grandchildren: address, card, snail, addon, and peace (whose parent is legacy), tablet, application, font, shield, and film (whose parent is texture), ladder, instrument, and sign (whose parent is variable), and milk, organization, label, fly, and eraser (whose parent is constant). chair has no grandchildren. sociology has no children. pants has no children. layer has no grandchildren. biology has no grandchildren. parameter has no grandchildren. structure has no children. eye has no children. size has two children; peach and metal. plum has 5 children: cable, transaction, cherry, mathematics, and pie. pill has no children. turtle has no grandchildren. potato has no grandchildren. statistic has 3 children: food, bracelet, and form. notebook has no children. snake has no children. transaction has no grandchildren. socket has no children. bulb has no children. friend has no children. diversity has no grandchildren. geology has 5 children: disc, branch, scissors, coin, and efficiency. header has no children. toy has no grandchildren. archive has 10 grandchildren: corporation, chicken, petal, mirror, and eye (whose parent is burger) and guideline, equipment, sparkle, accountability, and muscle (whose parent is conference) and 1 children: trumpet. table has two children; friend and temple. account has no children. domain has no children. ruler has 3 children: star, network, and checkbox. optimization has no children. tongue has no grandchildren. fly has no children. voltage has no children. activation has no grandchildren. hill has no grandchildren. snow has no grandchildren. plane has no grandchildren. metal has no grandchildren. screwdriver has no children. linguistics has no grandchildren. analog has no children. hate has no grandchildren. pliers has no grandchildren. nose has no grandchildren. sign has no grandchildren. content has no children. goose has no grandchildren. bridge has no children. addon has no children. coffee has no grandchildren. process has two children; plan and scarf. topic has no grandchildren. city has no grandchildren. custom has no children. organization has no grandchildren. towel has no grandchildren. planet has no grandchildren. glue has no grandchildren. milk has no children. toothpaste has 5 children: politics, silence, domain, society, and narrative. key has no children. marker has no grandchildren. holiday has no grandchildren but has 3 children: galaxy, task, and truth. scissors has no children. vacuum has 5 children: remote, environment, icecream, archive, and smile. network has 4 children: enterprise, size, movie, and pizza. What is the cousin of the pill? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:004", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a kiwi. Then you move down-right for one step and see a watermelon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a soap. Then you move down-left for one step and see a cake. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a cranberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a book. Then you don't move for a while. Then you move down-right for one step and see a football. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a tree. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step and see a fig. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a pomegranate. Then you don't move for a while. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a television. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a knife. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a rug. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a persimmon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a statue. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a dog. Then you move up-right for one step and see a stone. Then you move down-right for one step and see a shampoo. Then you don't move for a while. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a towel. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a desk. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a walnut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a bed. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-right for one step and see a grater. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a bike. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a paper. Then you move left for one step. Then you don't move for a while. Then you move up-right for one step and see a spoon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a potato. Then you move up-right for one step and see a blueberry. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a doll. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a statue. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you jump back to the random vertex V and do the following moves: down-left, up-right, down-right, up-right, up-left, down-left, right, down-right, down-left, down-left, right, up-left, up-right, up-left, right, down-left, up-right, up-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:005", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a brush. Then you move down-right for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a blueberry. Then you move down-right for one step and see a lamp. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a crib. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a soap. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a cat. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a statue. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a book. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a lemon. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move up-left for one step and see a laptop. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a potato. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a cranberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a lychee. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a knife. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a grapefrut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a banana. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then, you jump to a random vertex V where you see a bed. Then you move down-left for one step and see a bread. Then you don't move for a while. Then you move down-left for one step and see a fig. Then you move down-right for one step and see a shampoo. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a basket. Then you don't move for a while. Then you move down-right for one step and see a rug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a doll. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a lychee. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you jump back to the random vertex V and do the following moves: down-left, up-right, down-left, up-left, down-right, down-right, up-left, up-right, up-left, up-right, down-right, up-left, down-right, down-right, down-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:007", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a toy. Then you move down-left for one step and see a mirror. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step and see a kiwi. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a backpack. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a walnut. Then you don't move for a while. Then you move down-right for one step and see a doll. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a clementine. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tree. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a cranberry. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bean. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a rug. Then you don't move for a while. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step and see a snowball. Then you move down-right for one step and see a fox. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a tube. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a basket. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move up-right for one step and see a mug. Then you don't move for a while. Then, you jump to a random vertex V where you see a fish. Then you move up-right for one step and see a cat. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a watermelon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move down-right for one step and see a bear. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a grapefrut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a snake. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a book. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a peanut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move up-right for one step and see a rug. Then you don't move for a while. Then you jump back to the random vertex V and do the following moves: down-left, down-right, down-left, down-right, up-right, up-left, up-right, up-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:013", "request": "You have been given a tree structure with 813 nodes. bow, service, regulation, and dustpan are siblings. present has no grandchildren. fire has no grandchildren but has 5 children: lecture, melon, username, spider, and transition. toothbrush has no children. hill has no grandchildren. candy has no children. star has no grandchildren. technology has two children; art and evaluation. volume has no children. template has no children. toolbar has no children. coin has no grandchildren but has 3 children: photograph, device, and bead. cave has no children. sketch has no children. smile has no children. policy has no grandchildren. teamwork has no grandchildren. bear has no grandchildren. razor has no children. hate has no children. pineapple has no grandchildren. map has 5 children: firewall, yarn, shadow, toothbrush, and hue. responsibility has no grandchildren. program has no grandchildren. music has no grandchildren. phone has 4 children: document, mug, coin, and gateway. network has no children. storage has no grandchildren. instrument has no grandchildren. environment has no grandchildren but has 3 children: shirt, class, and activation. evolution has no children. shape has no children. needle has no grandchildren but has 3 children: pixel, building, and juice. turtle has 11 grandchildren: quantum, page, and constant (whose parent is bandage), comb, butter, fear, house, and wall (whose parent is clock), and present, ball, and sustainability (whose parent is checkbox). pepper has no children. compiler has no children. meeting has two children; calendar and tea. town has no children. project has no children. rocket has no grandchildren. jacket has no grandchildren. port has 9 grandchildren: solution, internet, and sales (whose parent is hope), rat and chemistry (whose parent is rhythm), root and interface (whose parent is footer), and doll and trend (whose parent is reflection). spinach has no grandchildren. internet has no grandchildren. sky has no grandchildren. earth has no grandchildren. bottle has no grandchildren. tint has no children. gate has no children. portrait has no children. header has no children. kiwi has no grandchildren. strategy has no children. bee has no grandchildren. sustainability has no grandchildren. lock has no children. dust has no grandchildren but has 2 children: support and domain. projector has no grandchildren. society has 5 children: gate, charger, jacket, valley, and ribbon. marker has no grandchildren. resilience has no grandchildren but has 2 children: seed and menu. physics has no children. workshop has no grandchildren. belief has no grandchildren. field has 5 children: stage, clothing, merge, cereal, and association. dustpan has 10 grandchildren: heart, ritual, heuristic, and port (whose parent is actuator), plan, turtle, and apple (whose parent is application), and book, collaboration, and nose (whose parent is road). topic has 5 children: container, color, culture, fire, and cabbage. cereal has no children. convention has no children. pie has no children. regulation has 19 grandchildren: desert, cat, wallet, community, and wood (whose parent is bird), cloth, pea, plastic, and literature (whose parent is beaver), topic, module, pipeline, celery, and stove (whose parent is article), and tooth, finance, helmet, eraser, and hair (whose parent is hardware). account has 3 children: compiler, drum, and weight. clustering has no children. rug has no grandchildren. fries has no children. organization has 5 children: efficiency, header, challenge, beer, and screwdriver. coconut has no grandchildren. variable has no grandchildren. finance has 7 grandchildren: pie, bean, project, scissors, and plate (whose parent is dishwasher) and regression and mountain (whose parent is shoes). slider has no children. sensor has no children. lesson has no children. analog has no children. dream has no children. fence has no grandchildren. company has no grandchildren. silence has no children. sand has no children. foot has no children. mosque has no grandchildren. radish has two children; cardboard and society. banner has no children. drill has no grandchildren. toy has no children. empowerment has no grandchildren. orange has no grandchildren. oven has no grandchildren. community has 10 grandchildren: nest, shelter, icecream, onion, and jar (whose parent is correlation), procedure and tree (whose parent is ring), and broccoli, kite, and password (whose parent is money). glasses has no children. shield has no grandchildren. clarity has no children. digital has no children. efficiency has no grandchildren. sadness has no grandchildren. bread has 9 grandchildren: tensor and marker (whose parent is conditioner), oven, music, output, success, and grape (whose parent is switch), and asparagus and church (whose parent is addon). tear has no grandchildren. augmented has no grandchildren. universe has 3 children: mushroom, emotion, and lamp. hub has no grandchildren. kite has no grandchildren. inspiration has no grandchildren. avocado has 3 children: violin, painting, and standard. narrative has no children. algorithm has no grandchildren. worm has 4 children: law, lettuce, lake, and politics. follower has no children. objective has no children. voltage has no children. wave has no grandchildren. bone has no grandchildren. shelter has no children. water has no grandchildren. holiday has no children. wire has no grandchildren. bow has 13 grandchildren: package, shampoo, and bread (whose parent is image), meeting, gem, economics, and texture (whose parent is ruler), shovel, trashcan, worm, and adapter (whose parent is depth), and technology and necklace (whose parent is bed). concert has no grandchildren. shade has no children. light has no grandchildren. muscle has no children. pencil has no children. hand has two children; glasses and rock. island has no children. probability has no children. variety has no children. treasure has 4 children: scooter, corn, symmetry, and feeling. goodness has no children. effectiveness has no children. thread has no children. keys has no grandchildren. temple has no grandchildren. page has no children. tab has no grandchildren. painting has no grandchildren. pearl has no children. equipment has no grandchildren. analysis has no grandchildren. connection has no children. beauty has two children; parameter and archive. ocean has 3 children: statue, food, and lion. shine has no children. geology has no grandchildren. charger has no children. chemistry has no grandchildren. scale has no grandchildren. archive has no grandchildren. calendar has no grandchildren but has 2 children: transistor and freedom. purpose has no grandchildren. advertisement has no children. module has 5 children: boat, moon, needle, bag, and hand. rice has no grandchildren. framework has no children. television has no children. dryer has no children. cabbage has no grandchildren but has 5 children: exhibition, can, ceremony, wing, and chip. skateboard has no children. ball has no grandchildren. fixture has no grandchildren. accessory has no children. challenge has no children. helmet has 18 grandchildren: slider and ethics (whose parent is matrix), webpage and audio (whose parent is initiative), pillow, knife, report, storage, and candy (whose parent is flower), hate, pencil, circuit, snake, and razor (whose parent is performance), and fence, horse, nail, and fig (whose parent is ornament). giraffe has 3 children: toe, donut, and broom. corn has no children. metal has no children. mosquito has no children. output has no grandchildren. signal has no grandchildren. suitcase has 3 children: roof, cotton, and candle. pants has no grandchildren. balloon has no children. plate has no children. anger has 13 grandchildren: dream, chain, object, and mirror (whose parent is index), guitar and convention (whose parent is interaction), cherry, hill, phase, and drill (whose parent is skin), and file, washer, and sequin (whose parent is task). history has no children. piano has no grandchildren but has 3 children: letter, cricket, and bike. butter has no grandchildren. diode has no children. psychology has no grandchildren. art has no grandchildren but has 4 children: hammer, pattern, simplicity, and disk. wood has 18 grandchildren: clustering and garden (whose parent is ladder), variety, thorn, equality, purpose, and button (whose parent is soda), pasta, balance, television, ear, and drink (whose parent is documentary), purse, motorcycle, sensor, and burger (whose parent is gloves), and shield and virtual (whose parent is badge). tea has 3 children: failure, workflow, and voltage. style has no children. book has two children; diversity and engagement. pig has no grandchildren. validation has no children. desk has no grandchildren but has 2 children: deploy and legacy. idea has no children. diary has no children. screen has no grandchildren. sofa has no grandchildren. icecream has no grandchildren. culture has no grandchildren but has 4 children: dog, principle, distribution, and software. forecast has no children. disc has no grandchildren. garden has no children. gem has 13 grandchildren: notification, layer, widget, and chair (whose parent is game), town, spectrum, structure, and goodness (whose parent is zipper), and improvement, bottle, diary, frame, and content (whose parent is proportion). sparkle has no children. management has no children. layer has no grandchildren. law has two children; story and innovation. anthropology has no grandchildren. corporation has no grandchildren. politics has no grandchildren but has 3 children: turkey, song, and river. forest has no grandchildren. screwdriver has no grandchildren. beach has no children. potato has no grandchildren. firewall has no grandchildren. block has no grandchildren. bus has no children. gathering has no grandchildren. yogurt has no grandchildren. search has no grandchildren. ribbon has no grandchildren. medal has no grandchildren. philosophy has no children. video has no children. fish has no grandchildren. pea has 3 children: suitcase, universe, and lace. rain has no children. notification has no children. trashcan has 17 grandchildren: smile, dress, raspberry, castle, and screw (whose parent is pizza), cry and influence (whose parent is camera), architecture, plugin, and bucket (whose parent is watch), sculpture, tint, forum, enterprise, and beach (whose parent is tunnel), and pineapple and protocol (whose parent is classification). bowl has no children. trophy has no children. jewel has no grandchildren. scissors has no children. school has 5 children: library, lesson, tongue, physics, and hub. threat has no grandchildren. quantum has no grandchildren. play has no children. lettuce has 4 children: foot, idea, wolf, and spinach. motorcycle has no grandchildren. seminar has no grandchildren. bean has no grandchildren. cassette has no grandchildren. crab has no grandchildren. object has no children. recommendation has no grandchildren but has 3 children: backpack, peach, and trumpet. progress has no grandchildren. report has no grandchildren. donut has no children. furniture has no grandchildren but has 4 children: soup, resistor, form, and email. sales has no grandchildren. folder has no children. paint has no grandchildren. rat has no grandchildren. salt has no grandchildren. color has no grandchildren but has 2 children: machine and wind. joy has no children. stage has no grandchildren. cotton has no children. truck has no children. success has no children. virtual has no children. pumpkin has no children. cloth has 4 children: morality, message, social, and ocean. horse has no children. experience has no children. floor has no grandchildren. comb has no grandchildren. symmetry has no grandchildren. brick has no children. campaign has no children. washer has no children. popup has no children. doll has no grandchildren. frequency has no children. strawberry has no children. landscape has no children. boat has 4 children: processor, earrings, mouse, and accessory. patch has two children; clip and diode. structure has no children. leadership has no children. dress has no children. knife has no grandchildren. workflow has no children. guideline has no grandchildren. broccoli has no children. transformation has no children. valley has no children. drink has no grandchildren. toe has no children. audio has no grandchildren. nail has no grandchildren. tooth has 10 grandchildren: experience, connector, salad, cup, and guideline (whose parent is cable) and salt, connection, sword, milk, and eggplant (whose parent is function). ice has no children. shovel has 14 grandchildren: concert and problem (whose parent is browser), narrative, forest, rug, and disc (whose parent is festival), observation, analysis, instrument, and result (whose parent is planet), and shortcut, joy, flag, and city (whose parent is frog). poster has no grandchildren. library has no grandchildren. candle has no grandchildren. stove has 12 grandchildren: transaction and pig (whose parent is growth), poem, projector, and brick (whose parent is glue), bear, coffee, and campaign (whose parent is accountability), and spreadsheet, optimization, console, and strategy (whose parent is kangaroo). relic has no children. sun has no children. vector has no grandchildren. experiment has no grandchildren. power has no children. sunglasses has two children; arrow and debugger. merge has no children. hospital has no grandchildren. statue has no children. interface has no grandchildren. capacitor has 4 children: resilience, dust, sheet, and silk. address has no children. heuristic has 3 children: environment, school, and density. code has no children. value has no grandchildren. apple has 8 grandchildren: database, popup, objective, dryer, and style (whose parent is mathematics) and belief, galaxy, and happiness (whose parent is branch). castle has no grandchildren. processor has no children. file has no grandchildren. unity has no grandchildren. plastic has two children; peace and fur. debugger has no children. tiger has no grandchildren. tape has no children. pin has no children. sign has no grandchildren. store has no grandchildren. headphones has no grandchildren. lizard has no children. notebook has no children. router has no children. size has no grandchildren. hair has 3 children: organization, ladybug, and avocado. plum has no grandchildren. mouse has no grandchildren. shortcut has no grandchildren. butterfly has no grandchildren. platform has no children. card has 3 children: printer, trophy, and anthropology. beak has no children. database has no grandchildren. desert has 15 grandchildren: kiwi, bulb, light, and analog (whose parent is change), platform and disadvantage (whose parent is farm), water and model (whose parent is query), rice, butterfly, and glitter (whose parent is elephant), and psychology, screen, stapler, and cassette (whose parent is engine). lamp has no children. friend has no grandchildren. salad has no grandchildren. bridge has no grandchildren. feeling has no grandchildren. protocol has no children. asparagus has no children. sheet has 5 children: cursor, equipment, policy, keyboard, and sand. house has no children. button has no children. flag has no grandchildren. beer has no grandchildren. engineering has no children. root has no children. console has no grandchildren. emotion has no children. tactic has no children. procedure has no grandchildren. poem has no children. purse has no children. trend has no grandchildren. process has no children. fridge has no grandchildren. evaluation has 4 children: website, banner, forecast, and fridge. tradition has no grandchildren. cry has no children. soap has no grandchildren. ladybug has no grandchildren but has 3 children: rabbit, blog, and bracelet. battery has no grandchildren but has 4 children: film, love, blanket, and brain. chair has no grandchildren. elegance has no grandchildren. contrast has no grandchildren. scarf has 3 children: evolution, keys, and dropdown. chocolate has no grandchildren but has 3 children: feather, glass, and vacuum. rope has no children. standard has no grandchildren. pot has no grandchildren. mountain has no grandchildren. slug has no children. scroll has no children. glitter has no grandchildren. wisdom has no grandchildren. fur has two children; tiger and thread. failure has no children. collaboration has 16 grandchildren: garlic, island, and lizard (whose parent is cucumber), sketch, framework, process, poster, and orange (whose parent is weakness), store, globe, fish, design, and harmony (whose parent is strength), and tab, wave, and presentation (whose parent is hashtag). speaker has 3 children: transformation, leadership, and plum. creativity has no grandchildren but has 3 children: fork, microphone, and celebration. rock has no children. lemon has no grandchildren. cat has two children; label and creativity. alert has no grandchildren. eggplant has no grandchildren. screw has no children. result has no grandchildren. mirror has no children. development has no children. snake has no children. plugin has no children. plan has 3 children: treasure, piano, and helicopter. tree has no grandchildren. egg has no grandchildren. spectrum has no children. forum has no grandchildren. guitar has no grandchildren. helicopter has no grandchildren but has 3 children: saw, fabric, and relationship. cheese has no grandchildren. constant has no children. influence has no grandchildren. pipeline has 17 grandchildren: program, rope, unity, and energy (whose parent is box), fly, engineering, rocket, truck, and resistance (whose parent is tomato), skateboard, tower, and friend (whose parent is cloud), and volume, management, tone, temple, and rain (whose parent is movement). tongue has no children. galaxy has no children. pillow has no children. duck has no grandchildren. lace has no grandchildren but has 4 children: astronomy, shrimp, cookie, and towel. optimization has no grandchildren. happiness has no children. coffee has no grandchildren. innovation has no grandchildren. mug has 5 children: probability, stamp, toothpaste, curtain, and gradient. density has no grandchildren but has 5 children: motivation, chat, theory, radio, and activity. window has no children. association has no children. texture has 18 grandchildren: sparkle, paint, and validation (whose parent is zucchini), bee, star, luster, and plant (whose parent is airplane), ceiling and signal (whose parent is park), marketing, size, strawberry, wisdom, and router (whose parent is tablet), and algorithm, mosque, development, and augmented (whose parent is train). observation has no grandchildren. thorn has no children. burger has no grandchildren. regression has no children. future has no grandchildren. celery has 5 children: crown, desk, account, eye, and pear. energy has no children. squirrel has no children. stamp has no grandchildren. pear has no grandchildren but has 2 children: sociology and zebra. earrings has no grandchildren. message has 4 children: medal, pants, toolbar, and fixture. transaction has no grandchildren. jar has no grandchildren. lion has no grandchildren. profile has no grandchildren. ear has no children. media has no grandchildren. cluster has no children. table has no grandchildren but has 3 children: science, lime, and truth. silk has no grandchildren but has 5 children: ant, coral, mouth, air, and belt. curtain has no grandchildren. problem has no children. tensor has no children. spreadsheet has no grandchildren. controller has no grandchildren. document has no grandchildren but has 2 children: goat and snow. necklace has 16 grandchildren: shine, holiday, and video (whose parent is couch), event, philosophy, and pearl (whose parent is plane), wire, pin, duck, and bus (whose parent is hat), egg, squirrel, and health (whose parent is communication), and tear, computer, and address (whose parent is prediction). cup has no children. sea has 4 children: battery, patch, chocolate, and speaker. enterprise has no children. cursor has no grandchildren. sheep has no grandchildren. story has no children. clothing has no children. literature has 18 grandchildren: follower, block, bridge, avatar, and cluster (whose parent is smoke), elegance, toy, potato, input, and silence (whose parent is venture), server, lemon, seminar, and sky (whose parent is prompt), and code, contrast, muscle, and teamwork (whose parent is axe). fig has no grandchildren. peace has no grandchildren but has 5 children: coat, socket, anchor, chicken, and blueberry. garlic has no children. economics has 19 grandchildren: beak, ticket, ice, gathering, and portrait (whose parent is rubber), advertisement, mosquito, claw, and metal (whose parent is concept), responsibility, pepper, fries, clarity, and vehicle (whose parent is petal), and value, play, experiment, shade, and tradition (whose parent is wine). milk has no grandchildren. ticket has no children. roof has no grandchildren. scooter has no children. heart has 5 children: giraffe, neural, field, scarf, and table. bulb has no children. tone has no grandchildren. harmony has no grandchildren. weight has no children. city has no grandchildren. nest has no children. computer has no grandchildren. sword has no children. server has no grandchildren. car has no grandchildren. bag has two children; progress and search. diversity has no grandchildren but has 5 children: puzzle, snail, thought, village, and grass. ceiling has no grandchildren. current has no grandchildren. disadvantage has no grandchildren. parameter has no children. cardboard has no grandchildren but has 5 children: waterfall, ecosystem, measurement, photo, and pan. violin has no children. mushroom has no grandchildren. custom has no children. luster has no children. wolf has no children. model has no grandchildren. keyboard has no grandchildren. sequin has no children. arrow has no grandchildren. blood has no children. wall has no grandchildren. globe has no children. skirt has no grandchildren. hue has no grandchildren. shampoo has 10 grandchildren: profile, jewel, scroll, soap, and template (whose parent is mango), crab, effectiveness, and corporation (whose parent is revolution), and cheese and lock (whose parent is decoration). gateway has no grandchildren but has 2 children: raccoon and cow. onion has no children. plant has no grandchildren. toothpaste has no grandchildren. improvement has no grandchildren. claw has no grandchildren. pliers has no grandchildren. social has no grandchildren but has 3 children: lobster, risk, and inductor. tower has no grandchildren. connector has no grandchildren. broom has no grandchildren. balance has no children. statistic has 5 children: headphones, map, pen, furniture, and recommendation. equality has no children. gradient has no grandchildren. engagement has no grandchildren but has 3 children: socks, monkey, and compass. lake has no grandchildren but has 5 children: memory, instance, carrot, pill, and leather. resistance has no grandchildren. raspberry has no grandchildren. pen has no grandchildren but has 3 children: beard, cake, and tool. webpage has no grandchildren. phase has no grandchildren. service has 6 grandchildren: anger, phone, radish, and capacitor (whose parent is paper) and statistic and sea (whose parent is icon). password has no grandchildren. opportunity has no grandchildren but has 3 children: drawing, font, and laugh. fly has no children. grape has no grandchildren. amplitude has no grandchildren but has 2 children: microwave and sugar. printer has no children. adapter has 13 grandchildren: cave, sheep, alert, bone, and sun (whose parent is sound), variable, earth, car, window, and coconut (whose parent is artifact), and future, workshop, and media (whose parent is stone). mop has no grandchildren. content has no children. church has no grandchildren. package has 3 children: beauty, sunglasses, and amplitude. container has two children; blood and pot. label has 3 children: inspiration, skirt, and frequency. cherry has no children. steak has no children. pasta has no children. avatar has no children. architecture has no children. dropdown has no children. sculpture has no children. eraser has two children; client and medicine. ethics has no grandchildren. medicine has no grandchildren but has 3 children: drums, door, and mustache. deer has no children. nose has 7 grandchildren: network and folder (whose parent is terminal) and digital, bowl, shape, threat, and controller (whose parent is appliance). widget has no children. presentation has no grandchildren. vehicle has no grandchildren. neural has 3 children: company, pliers, and vector. circuit has no grandchildren. morality has 5 children: sponge, power, slug, sign, and history. drum has no grandchildren. eye has two children; tape and landscape. sponge has no children. input has no grandchildren. food has no grandchildren. clip has no grandchildren. clipboard has no grandchildren. crown has no grandchildren but has 2 children: partnership and umbrella. client has 4 children: steak, sofa, empowerment, and yogurt. shadow has no grandchildren. bucket has no children. moon has 3 children: custom, deer, and relic. frame has no children. website has no grandchildren. wallet has two children; card and opportunity. fear has no grandchildren. design has no children. solution has no children. yarn has no children. health has no grandchildren. stapler has no grandchildren. chain has no grandchildren. event has no grandchildren. crystal has no grandchildren. marketing has no children. ritual has 13 grandchildren: crystal, mop, sadness, and tactic (whose parent is simulation), geology, pumpkin, clipboard, current, and floor (whose parent is leaf), and balloon, notebook, scale, and hospital (whose parent is drive). What is the cousin of the sea? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:017", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the bottom corner of the grid, where you find a Geoffroy's spider monkey. You move up-right by one step, where you find a tow truck. You move up-left by one step, where you find a prison. You move up-right by one step, where you find a wardrobe. You move up-left by one step, where you find an airship. You move down-left by one step, where you find a harmonica. You move down-left by one step, where you find a rose hip. You move down-right by one step, where you find a lorikeet. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:018", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a fish. Then you move down-left for one step and see a banana. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a blueberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a bean. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a printer. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a brush. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a toy. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a pen. Then you don't move for a while. Then you move down-right for one step and see a carrot. Then you move down-right for one step and see a soap. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a rug. Then you don't move for a while. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step and see a snowball. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a kiwi. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a snake. Then you move down-right for one step and see a cranberry. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a fox. Then you don't move for a while. Then you move up-left for one step and see a towel. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a bike. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a knife. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a pie. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a pencil. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step and see a car. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a grapefrut. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a desk. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a cell phone. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a dresser. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a fork. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a stone. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a book. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:020", "request": "You have been given a tree structure with 165 nodes. key, poem, and wood are siblings. constant has no children. finger has no children. mop has two children; current and constant. sadness has no grandchildren. activation has no children. turkey has no children. amplitude has no grandchildren. feather has no children. success has no grandchildren. leadership has no children. current has no children. contrast has no children. glass has no grandchildren. algorithm has 5 children: finger, paint, school, headphones, and plate. bird has 5 children: hate, inspiration, tape, store, and turkey. dryer has no children. zebra has no children. village has no grandchildren but has 3 children: fork, duck, and scooter. browser has no grandchildren. news has 3 children: yarn, norm, and blog. rabbit has no grandchildren. wood has 7 grandchildren: icon, pants, and structure (whose parent is river), motorcycle and plastic (whose parent is furniture), and algorithm and workflow (whose parent is eye). plugin has no children. bike has no grandchildren but has 3 children: variable, education, and principle. inspiration has no grandchildren. engagement has no children. proportion has no grandchildren. form has no grandchildren. laugh has no grandchildren. wrench has no grandchildren but has 2 children: challenge and wire. tower has no grandchildren. hate has no children. structure has 4 children: smile, valley, progress, and pepper. alert has 5 children: shield, leadership, laugh, microphone, and lesson. goat has 3 children: browser, muscle, and culture. eggplant has no children. norm has no grandchildren. castle has two children; gloves and helmet. firewall has 4 children: shrimp, zebra, sadness, and rabbit. sea has no grandchildren. pasta has no grandchildren. elephant has no children. icon has no grandchildren but has 3 children: header, squirrel, and chip. paint has no grandchildren. instance has no grandchildren. phone has 3 children: toe, block, and cry. helmet has no children. valley has no grandchildren. progress has no children. skirt has no children. tiger has two children; contrast and eggplant. wine has no children. cereal has no grandchildren. workflow has 3 children: coin, axe, and butter. rocket has no grandchildren. plate has no children. symmetry has 3 children: towel, glass, and router. axe has no grandchildren. pepper has no children. store has no children. ice has no grandchildren. block has no grandchildren. tape has no grandchildren. motorcycle has no grandchildren but has 5 children: style, radio, wall, house, and stem. stage has no children. culture has no grandchildren. function has no grandchildren. archive has two children; plugin and sea. doll has no children. anger has no grandchildren but has 5 children: pot, portrait, happiness, literature, and package. program has no children. plastic has no grandchildren but has 4 children: process, size, mushroom, and balloon. coin has no grandchildren. scissors has 5 children: skirt, cereal, wine, potato, and proportion. pants has no grandchildren but has 2 children: map and cave. cry has no children. stamp has no children. leaf has no children. key has 12 grandchildren: feather, anger, phone, and bird (whose parent is piano), conditioner, mop, and workshop (whose parent is bottle), and alert, village, performance, pasta, and ritual (whose parent is virtual). lesson has no grandchildren. ritual has 4 children: stamp, engagement, instance, and earrings. shield has no grandchildren. frog has no grandchildren but has 2 children: tone and volume. coconut has 4 children: leaf, tower, success, and program. toe has no children. earrings has no grandchildren. cucumber has no grandchildren but has 2 children: fly and money. router has no children. communication has 4 children: ice, amplitude, activation, and peace. peace has no children. school has no children. muscle has no grandchildren. towel has no children. smile has no children. performance has 3 children: elephant, belief, and rocket. potato has no children. gloves has no children. lizard has 5 children: form, stage, function, dryer, and doll. yarn has no grandchildren. trumpet has no children. drum has no grandchildren but has 4 children: sustainability, reflection, circuit, and battery. microphone has no children. poem has 17 grandchildren: drum, firewall, wrench, bike, and coconut (whose parent is town), news, tiger, archive, and frog (whose parent is password), goat, cucumber, communication, castle, and symmetry (whose parent is sword), and lizard, wind, and scissors (whose parent is landscape). shrimp has no children. pin has no children. wind has two children; trumpet and pin. butter has no children. belief has no grandchildren. workshop has no grandchildren but has 4 children: wave, steak, lion, and username. blog has no grandchildren. conditioner has no grandchildren but has 3 children: shine, brain, and scale. headphones has no grandchildren. What is the cousin of the balloon? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:022", "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the bottom right corner of the map, where you find a hand plane. You move up by one step, where you find a Lakeland Terrier. You move up-left by one step, where you find a honeycomb. You move up by one step, where you find a mosquito net. You move up-left by one step, where you find a snail. You move down-left by one step, where you find a power drill. You move down by one step, where you find a collie. You move down-right by one step, where you find a barometer. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:023", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a fig. Then you move down-right for one step and see a flower. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a toy. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a carrot. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a cranberry. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a brush. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a snowball. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a watermelon. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a cake. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a grapefrut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a plum. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a stone. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a fork. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a can. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a television. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a bear. Then you move down-left for one step and see a shampoo. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a pen. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a lemon. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a lamp. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a strawberry. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step and see a mango. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a statue. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a bread. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then, you jump to a random vertex V where you see a spoon. Then you move up-right for one step and see a banana. Then you move up-right for one step and see a potato. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a pencil. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a tart. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a pomegranate. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a tomato. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a doll. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a clementine. Then you move right for one step and see a lemon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you jump back to the random vertex V and do the following moves: down-left, right, up-right, left, down-right, up-right, left, down-left, right, up-right, up-right, right, right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:026", "request": "You have been given a circular path consisting of 9 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a Clumber Spaniel. Moving in a clockwise direction from the Clumber Spaniel, the elements on the path are a piggy bank, a box turtle, a Mexican hairless dog, an academic gown, a volleyball, a parachute, a ping-pong ball, and a red fox. Starting from the red fox, you move around the ring by 8 steps in a counter-clockwise direction, and you move around the ring by 2 steps in a clockwise direction, and you move around the ring by 2 steps in a clockwise direction, and you move around the ring by 5 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:027", "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the top corner of the map, where you find an Irish Setter. You move down-left by one step, where you find a giant panda. You move down by one step, where you find a grille. You move down-right by one step, where you find a wild boar. You move down by one step, where you find a kingsnake. You move down-left by one step, where you find an oscilloscope. You move up-left by one step, where you find a chest. You move up by one step, where you find a ladle. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:030", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a desk. Then you move down-right for one step and see a cat. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a carrot. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a tiger. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a dog. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a television. Then you move down-left for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step and see a walnut. Then you move down-right for one step and see a can. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a bread. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a lemon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a tomato. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a clementine. Then you move down-left for one step and see a soap. Then you don't move for a while. Then you move down-right for one step and see a bed. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a plum. Then you move up-left for one step and see a banana. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a grape. Then you move up-right for one step and see a paper. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a brush. Then you move down-right for one step and see a grater. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a bear. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a bean. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a snake. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:031", "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the bottom left corner of the map, where you find a smooth green snake. You move down-right by one step, where you find a mousetrap. You move up-right by one step, where you find a vending machine. You move up by one step, where you find a drumstick. You move up-right by one step, where you find a steel drum. You move down-right by one step, where you find a pulled rickshaw. You move down by one step, where you find an automated teller machine. You move down-left by one step, where you find a gorilla. You move up-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:033", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a fig. Then you move down-left for one step and see a cake. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a soap. Then you move down-left for one step and see a statue. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a television. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a grape. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a raspberry. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step and see a rug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a towel. Then you move left for one step and see a bed. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a paper. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a potato. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a cucumber. Then you move down-right for one step and see a desk. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a fox. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a stone. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a football. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a peanut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step and see a flower. Then you don't move for a while. Then you move up-left for one step and see a toy. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a bread. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a printer. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a bike. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a banana. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a lychee. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a spoon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a tiger. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a pie. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a bean. Then you don't move for a while. Then you move up-right for one step and see a tree. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a shampoo. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step. Then you don't move for a while. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:034", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a grater. Then you move down-left for one step and see a stone. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a tiger. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a mango. Then you don't move for a while. Then you move down-right for one step and see a lychee. Then you move down-left for one step and see a tomato. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step and see a printer. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a cake. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a shampoo. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a cat. Then you move down-right for one step and see a paper. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a walnut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a fig. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a cranberry. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a doll. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a pen. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a towel. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a cell phone. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then, you jump to a random vertex V where you see a mug. Then you move down-right for one step and see a book. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a backpack. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step and see a shampoo. Then you jump back to the random vertex V and do the following moves: down-right, up-left, down-right, up-left, down-right, down-left, down-left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:037", "request": "You have been given a tree structure with 834 nodes. city, repository, park, letter, and news are siblings. blog has no children. dirt has 11 grandchildren: pepper, system, pants, and crystal (whose parent is management), cable, fixture, sugar, and soup (whose parent is tactic), and probability, butterfly, and battery (whose parent is coin). conclusion has no children. photograph has no grandchildren but has 4 children: waterfall, instrument, floor, and blood. cake has no grandchildren. history has no children. nail has no children. folder has 4 children: drink, exhibition, temple, and rat. concert has no grandchildren but has 3 children: truck, theme, and efficiency. controller has no children. template has 3 children: observation, bone, and radio. beard has no grandchildren. framework has no grandchildren. thought has no grandchildren. duck has no grandchildren. chain has no children. pipeline has no grandchildren. file has two children; volume and shrimp. can has no grandchildren. strategy has no children. cucumber has two children; prediction and pill. sheep has no grandchildren. fixture has no grandchildren. workshop has 14 grandchildren: experiment and audio (whose parent is ornament), bag and stapler (whose parent is stem), collaboration and username (whose parent is campaign), galaxy, village, strength, and luster (whose parent is treasure), and compass, instance, remote, and hashtag (whose parent is plane). charger has no grandchildren. film has no children. slider has no children. opportunity has no grandchildren. air has no grandchildren. link has no grandchildren. wolf has no grandchildren. donut has two children; input and branch. hospital has no children. socket has no children. guitar has no children. transistor has no grandchildren but has 2 children: menu and validation. lace has no grandchildren. sculpture has no grandchildren. tooth has no children. library has no grandchildren. marketing has no grandchildren but has 5 children: corporation, address, equipment, energy, and anger. vector has no children. module has no children. regression has no children. beer has no children. eggplant has no children. desert has no grandchildren. pants has no grandchildren. media has no grandchildren but has 5 children: store, size, appliance, dust, and calendar. shrimp has 14 grandchildren: resistor, kiwi, knife, and influence (whose parent is valley), avatar, bottle, coat, bridge, and smoke (whose parent is festival), bow and cricket (whose parent is cookie), and debugger, plate, and mirror (whose parent is disadvantage). grass has 18 grandchildren: physics, dishwasher, ant, activation, and game (whose parent is leaf), school, globe, artifact, and building (whose parent is printer), frame, goose, dance, and virtual (whose parent is voltage), keys and horse (whose parent is mug), and snail, astronomy, and lettuce (whose parent is poem). potato has no children. nose has 4 children: link, failure, onion, and film. ceiling has no children. strength has two children; television and cereal. key has no children. influence has no children. creativity has no grandchildren. norm has no grandchildren. clustering has no grandchildren. network has no children. symmetry has no children. debugger has no children. success has no grandchildren but has 3 children: value, farm, and orange. goal has 18 grandchildren: duck and evolution (whose parent is footer), bead, sparkle, belief, image, and computer (whose parent is ball), drawing, cow, and portrait (whose parent is report), ladybug, strawberry, conditioner, and leadership (whose parent is sunglasses), and dream, framework, toe, and ethics (whose parent is cache). meeting has 5 children: keyboard, document, wolf, ruler, and sand. melon has no children. doll has no grandchildren. couch has no grandchildren. community has no children. convention has no children. digital has 4 children: drill, root, revolution, and network. shape has no grandchildren. purpose has no grandchildren. dishwasher has no children. monkey has 15 grandchildren: website, goodness, and content (whose parent is paper), tunnel and relic (whose parent is museum), zebra, sheep, heart, heuristic, and soap (whose parent is song), suitcase, skirt, and deer (whose parent is scale), and coffee and capacitor (whose parent is sponge). jar has no grandchildren. plugin has no children. correlation has two children; thread and celebration. alert has no grandchildren. pattern has 4 children: advertisement, egg, town, and date. ticket has 3 children: lock, forest, and weight. sparkle has no grandchildren. jewel has no grandchildren. photo has 8 grandchildren: success, organization, and template (whose parent is piano), candle, pie, and car (whose parent is ladder), and principle and current (whose parent is lemon). castle has no grandchildren. beak has no grandchildren but has 4 children: event, development, output, and chicken. garlic has two children; terminal and transistor. cloud has two children; eye and pizza. hardware has no children. input has no children. cassette has 4 children: status, cloud, improvement, and forum. addon has no grandchildren. island has no grandchildren. strawberry has no grandchildren. structure has two children; castle and brush. recommendation has no grandchildren. glass has no children. interface has no children. advantage has no grandchildren. yarn has no children. storage has 3 children: inspiration, silk, and squirrel. weight has no grandchildren. purse has no grandchildren. evaluation has 5 children: blog, equality, history, threat, and icecream. meaning has no children. zucchini has no children. shirt has 4 children: stage, drums, trashcan, and structure. soap has no children. microphone has no grandchildren. stone has 4 children: cursor, progress, cardboard, and purpose. change has no children. model has no grandchildren. keys has no children. bear has 5 children: phone, diversity, landscape, boat, and environment. raspberry has no grandchildren. yogurt has no grandchildren but has 3 children: fur, towel, and power. shell has 2 grandchildren: engineering and recommendation (whose parent is badge) and 1 children: wall. class has no grandchildren. education has no grandchildren. balance has no children. desk has no grandchildren. skirt has no children. terminal has two children; kite and risk. diode has no grandchildren. economics has no grandchildren. headphones has no grandchildren. browser has no children. cheese has no grandchildren. celery has no grandchildren but has 2 children: simplicity and optimization. flower has 16 grandchildren: shortcut, ticket, standard, processor, and pot (whose parent is future), evaluation and editor (whose parent is leather), marketing, jacket, photograph, and pattern (whose parent is conference), and stone, paint, bee, painting, and milk (whose parent is connection). editor has no grandchildren but has 4 children: variable, objective, crab, and petal. microwave has no children. burger has no children. sadness has no grandchildren. dropdown has no children. branch has no grandchildren. food has 4 children: axe, fries, resilience, and analysis. knife has no grandchildren. account has no grandchildren. exhibition has two children; symmetry and table. phone has two children; blanket and gate. lizard has 4 children: diary, laptop, tone, and wave. philosophy has 3 children: comb, clarity, and browser. avocado has 5 children: constant, reflection, neural, style, and donut. field has no grandchildren but has 2 children: plastic and cloth. virtual has no grandchildren. brick has no grandchildren. fire has no children. icecream has no grandchildren. trumpet has no children. pizza has no children. activation has no grandchildren. cluster has no children. circuit has no children. bridge has no grandchildren. zipper has no grandchildren. violin has no grandchildren. bottle has no children. airplane has two children; jewel and marker. cereal has no children. remote has 5 children: meaning, sadness, accessory, zipper, and bread. marker has no grandchildren. image has no grandchildren. lettuce has no grandchildren. relationship has no grandchildren. cable has no children. mountain has no grandchildren. theory has no grandchildren. machine has no grandchildren. glue has no grandchildren. beach has no children. bone has no children. concept has 4 children: guideline, concert, feather, and field. notebook has no children. medicine has no children. volume has 13 grandchildren: ribbon, worm, hammer, charger, and beard (whose parent is index), lecture, rabbit, screen, watch, and pen (whose parent is law), and growth, norm, and client (whose parent is movement). parameter has no children. lake has no grandchildren. pie has 3 children: fridge, gloves, and domain. wing has no grandchildren. commit has no children. mustache has 3 children: impact, arrow, and cave. signal has no grandchildren. stage has 4 children: density, banner, necklace, and deploy. diary has no grandchildren. processor has no grandchildren but has 3 children: pillow, illusion, and motorcycle. analysis has no children. threat has no children. scissors has no children. innovation has 19 grandchildren: hand and silence (whose parent is distribution), asparagus, carrot, health, and topic (whose parent is fear), commit, quantum, happiness, holiday, and teamwork (whose parent is elegance), parameter, society, ocean, drive, and procedure (whose parent is grape), and archive, legacy, and pliers (whose parent is weakness). screen has no grandchildren. play has no children. gathering has no children. bed has no grandchildren. drum has no children. carrot has no grandchildren. window has no children. umbrella has no grandchildren. ring has no grandchildren. needle has no grandchildren. peace has no children. coat has no grandchildren. goodness has no children. shovel has no grandchildren. radish has no grandchildren. environment has no grandchildren but has 2 children: freezer and bracelet. problem has no grandchildren. scroll has no grandchildren but has 5 children: query, earrings, mushroom, finance, and snow. sheet has 12 grandchildren: tape, ecosystem, and rocket (whose parent is brain), actuator, lizard, tensor, and backpack (whose parent is nest), airplane, pearl, and cup (whose parent is squash), and label and dog (whose parent is soda) and 1 children: record. mirror has no grandchildren. heuristic has no children. village has 3 children: tower, policy, and wind. shampoo has no grandchildren but has 2 children: medal and disc. pig has no children. corn has 4 children: dryer, chat, circuit, and software. story has no children. lion has no grandchildren. font has no grandchildren. tower has no children. standard has no grandchildren but has 3 children: tissue, biology, and method. boat has no grandchildren but has 5 children: mango, page, resource, mathematics, and anchor. tensor has 4 children: pipeline, plugin, tea, and rubber. bandage has no children. beaver has no grandchildren. eraser has no children. portrait has no grandchildren. pan has no grandchildren. ocean has no children. rock has 16 grandchildren: eggplant and signal (whose parent is amplitude), tablet, skateboard, transaction, balance, and pig (whose parent is candy), geology, lion, and effort (whose parent is tiger), spider, firewall, zucchini, and friend (whose parent is card), and code and chemistry (whose parent is variety). dream has no children. worm has no children. curtain has 12 grandchildren: profile, community, interface, and hardware (whose parent is vacuum), memory, scissors, chip, and culture (whose parent is clipboard), and jar, spectrum, wrench, and trophy (whose parent is algorithm). ruler has no grandchildren. hand has no children. application has no children. layer has no grandchildren. fries has no grandchildren. username has no grandchildren but has 5 children: book, trend, bike, box, and responsibility. present has no grandchildren. revolution has no grandchildren but has 4 children: money, architecture, crown, and documentary. slug has 9 grandchildren: cabbage, ring, notebook, purse, and controller (whose parent is bucket) and search, claw, presentation, and planet (whose parent is cotton) and 1 children: wisdom. sugar has no grandchildren. squirrel has two children; guitar and hat. rhythm has no grandchildren but has 4 children: checkbox, toothbrush, clock, and dress. suitcase has no grandchildren. dryer has two children; speaker and sales. capacitor has no grandchildren. rope has no grandchildren. effort has no grandchildren. drums has two children; shine and decoration. sociology has no grandchildren. root has 4 children: umbrella, company, science, and shade. puzzle has 5 children: experience, raspberry, alert, model, and couch. cry has no children. firewall has no grandchildren. ribbon has no grandchildren. art has no children. lamp has no children. cardboard has no grandchildren. compiler has no children. wrench has no children. device has no grandchildren. map has no children. rubber has no grandchildren. guideline has two children; lesson and regulation. beauty has 3 children: light, problem, and beer. tab has no grandchildren. claw has no grandchildren. crystal has no grandchildren. turtle has 4 children: beak, measurement, shampoo, and nose. ear has 5 children: tooth, convention, module, bed, and key. heart has no grandchildren. article has no children. letter has 13 grandchildren: corn, disk, curtain, and concept (whose parent is email), enterprise, tree, moon, and folder (whose parent is glasses), dirt, cassette, and innovation (whose parent is webpage), and sofa and desk (whose parent is muscle). friend has no grandchildren. planet has no children. partnership has no grandchildren. laptop has no children. sword has 5 children: clustering, prompt, fig, skin, and glue. notification has no children. status has 4 children: glitter, tool, hub, and cluster. prediction has no children. science has no grandchildren. eye has no grandchildren. banana has no grandchildren. business has two children; bandage and wool. tea has no grandchildren. plum has no grandchildren. gateway has no children. luster has 4 children: mouse, wood, conclusion, and statue. fig has no children. collaboration has no grandchildren but has 2 children: narrative and server. pot has no grandchildren but has 4 children: button, rice, anthropology, and tint. jacket has no grandchildren but has 3 children: house, washer, and resistance. instance has 4 children: camera, communication, thought, and eraser. measurement has no grandchildren but has 2 children: thorn and clip. egg has no grandchildren. poster has no grandchildren. empowerment has no children. hill has 4 children: article, helmet, performance, and lace. zebra has no grandchildren. geology has no grandchildren. church has no children. wool has no children. pineapple has no children. chat has two children; association and strategy. camera has no grandchildren. milk has 3 children: beach, creativity, and education. balloon has no grandchildren. drink has no grandchildren but has 3 children: stove, process, and initiative. cherry has no grandchildren. lesson has no grandchildren. decoration has no grandchildren. memory has no grandchildren. observation has no grandchildren. package has no grandchildren. tool has no children. accessory has no children. transaction has no grandchildren. spider has no grandchildren. pin has no children. actuator has 5 children: dropdown, mosquito, diode, island, and gathering. society has no grandchildren. archive has no grandchildren. repository has 3 children: flower, workshop, and ritual. glitter has no grandchildren. sign has no children. shortcut has 3 children: violin, apple, and application. switch has no grandchildren. connector has no children. toy has 12 grandchildren: belt, mountain, potato, and peace (whose parent is river), pumpkin and trumpet (whose parent is toothpaste), coral, dustpan, needle, and banana (whose parent is unity), and desert and beaver (whose parent is fox) and 1 children: razor. engineering has no grandchildren but has 5 children: pear, gem, projector, mosque, and form. plate has no children. bulb has no children. sound has no grandchildren. stapler has 5 children: pin, mouth, cheese, drum, and depth. wine has no grandchildren. coral has no children. bird has no grandchildren. teamwork has no grandchildren. advertisement has no children. tear has no children. literature has no children. frame has no grandchildren. shade has no grandchildren. television has no children. forum has no grandchildren but has 2 children: truth and seed. kite has no grandchildren. bow has no grandchildren. dog has two children; switch and motivation. interaction has no grandchildren. radio has no grandchildren. augmented has no grandchildren. inspiration has 4 children: glass, plum, machine, and texture. neural has no grandchildren but has 5 children: fork, foot, pencil, stamp, and flag. necklace has no children. wave has no children. constant has no grandchildren but has 3 children: challenge, password, and message. artifact has no grandchildren. wood has no children. onion has no grandchildren. tape has no grandchildren but has 2 children: screw and harmony. date has no grandchildren. butterfly has no grandchildren. communication has no children. bead has no children. backpack has 3 children: garden, function, and header. tradition has no grandchildren but has 3 children: salt, transition, and movie. watch has no children. justice has no children. bag has 4 children: sketch, opportunity, goat, and ice. legacy has no children. hat has no children. pearl has 4 children: window, socket, economics, and tongue. mosquito has no grandchildren. risk has no children. rat has 4 children: universe, burger, map, and social. current has no grandchildren but has 5 children: phase, chair, love, spoon, and service. shadow has no grandchildren. accountability has no children. gate has no grandchildren. arrow has no grandchildren. tongue has no grandchildren. galaxy has no grandchildren but has 3 children: technology, analog, and merge. skin has no children. temple has 4 children: gateway, augmented, design, and freedom. impact has 3 children: present, art, and video. battery has no children. ant has no grandchildren. drawing has no grandchildren. belief has no children. trophy has no children. growth has no grandchildren. salad has no children. forest has no children. comb has no grandchildren. resilience has no children. happiness has no children. hashtag has two children; vector and wine. broccoli has no grandchildren but has 5 children: forecast, scooter, water, statistic, and project. tree has 10 grandchildren: tab, regression, and workflow (whose parent is platform), cherry and salad (whose parent is hate), and literature, package, library, microphone, and layer (whose parent is broom). helmet has no children. progress has no grandchildren. hammer has no grandchildren. pepper has no grandchildren. regulation has no grandchildren. tone has no children. physics has no children. fridge has no children. feather has no grandchildren but has 4 children: fish, console, hue, and feeling. company has no grandchildren. wind has no grandchildren. probability has no grandchildren. goat has no grandchildren. mouth has no grandchildren. skateboard has no children. inductor has no grandchildren. ethics has no children. quantum has no grandchildren. computer has no children. search has no grandchildren. horse has no children. failure has no children. belt has no grandchildren. lock has no children. motivation has no children. dustpan has no children. star has no grandchildren. experience has no children. social has no grandchildren. compass has 4 children: ceiling, class, yarn, and story. topic has no children. globe has no grandchildren. popup has 5 children: balloon, pea, chain, inductor, and addon. pliers has no children. axe has no children. cricket has no grandchildren. school has no grandchildren. sea has two children; can and interaction. park has 12 grandchildren: slug, digital, and shirt (whose parent is wire), toy and monkey (whose parent is linguistics), turtle and avocado (whose parent is road), and storage, garlic, grass, mustache, and goal (whose parent is sun). enterprise has 2 grandchildren: theory and bird (whose parent is music) and 1 children: finger. news has 3 children: database, file, and scarf. tablet has no children. game has no grandchildren. table has no children. diversity has no grandchildren but has 2 children: elephant and spreadsheet. smoke has no grandchildren. pea has no grandchildren. audio has no grandchildren but has 2 children: lime and oven. software has two children; font and tomato. profile has no children. banner has no grandchildren. tomato has no grandchildren. disk has 4 children: meeting, tradition, cucumber, and broccoli. database has 9 grandchildren: celery and sensor (whose parent is engine), rhythm, beauty, and correlation (whose parent is rain), and media, scroll, ear, and business (whose parent is object). asparagus has no grandchildren. kiwi has no grandchildren. ecosystem has two children; device and lamp. silk has no grandchildren but has 4 children: emphasis, router, fence, and seminar. chemistry has no grandchildren. silence has no grandchildren. reflection has 3 children: lake, melon, and headphones. garden has no children. label has 5 children: sociology, church, shelter, idea, and fire. procedure has no grandchildren. town has no grandchildren. joy has no grandchildren. trashcan has no grandchildren but has 3 children: bus, turkey, and vehicle. apple has no children. emotion has no grandchildren. depth has no children. sandwich has no children. experiment has no grandchildren but has 3 children: politics, chocolate, and task. client has no children. texture has no children. universe has no grandchildren. blanket has no grandchildren. gloves has no children. kangaroo has no children. workflow has no grandchildren. candle has no grandchildren but has 2 children: furniture and sky. equality has no children. brush has no children. code has no children. sustainability has no grandchildren. pen has no children. system has no children. shine has no children. prompt has no children. improvement has no grandchildren but has 5 children: program, frequency, pasta, laugh, and port. performance has no grandchildren. gradient has no grandchildren. resistor has no children. sketch has no children. rocket has no grandchildren but has 4 children: coconut, patch, screwdriver, and support. celebration has no grandchildren. ladybug has no children. holiday has no children. drill has 3 children: star, radish, and sustainability. raccoon has no grandchildren. astronomy has no children. tunnel has no grandchildren. ritual has 9 grandchildren: lobster and yogurt (whose parent is psychology), food, sword, popup, puzzle, and philosophy (whose parent is earth), and hill and sea (whose parent is activity). moon has 9 grandchildren: gradient, ceremony, accountability, nail, and sound (whose parent is saw) and empowerment, sculpture, bulb, and hospital (whose parent is butter). landscape has 4 children: doll, play, hope, and cry. content has no grandchildren. document has no grandchildren. dance has no grandchildren. building has no children. sofa has 16 grandchildren: cake, joy, and relationship (whose parent is contrast), tear, microwave, emotion, pan, and sequin (whose parent is door), brick and bowl (whose parent is protocol), rope, slider, medicine, and sandwich (whose parent is custom), and sign and pineapple (whose parent is bean). paint has no grandchildren but has 3 children: passion, juice, and pixel. deer has no children. deploy has no children. relic has no grandchildren. evolution has no grandchildren. bee has no grandchildren but has 3 children: clothing, helicopter, and fabric. design has no grandchildren. spectrum has no grandchildren. cabbage has no children. pill has no grandchildren. toe has no grandchildren. shelter has no grandchildren. thread has no grandchildren. soup has no grandchildren. keyboard has no children. ice has no grandchildren. function has no grandchildren. idea has no children. ceremony has no children. cursor has no grandchildren. clarity has no children. mouse has no children. policy has no children. hub has no grandchildren. rabbit has no children. principle has no grandchildren but has 3 children: follower, simulation, and solution. city has 3 children: sheet, photo, and shell. presentation has no grandchildren. steak has no children. domain has no grandchildren. lecture has no children. cup has 4 children: wing, partnership, air, and shovel. drive has no children. header has no grandchildren. association has no grandchildren. leadership has no grandchildren. cave has 4 children: shape, compiler, account, and advantage. scarf has two children; rock and bear. sequin has no children. light has no children. statue has no grandchildren. speaker has no grandchildren. video has no children. density has no grandchildren. coffee has no children. hope has no grandchildren. freedom has no children. cow has no children. bread has no children. bowl has no grandchildren. avatar has no grandchildren. style has no grandchildren but has 2 children: shoes and venture. lobster has 3 children: justice, poster, and shadow. goose has no grandchildren. website has no children. painting has 4 children: notification, change, connector, and kangaroo. snail has no grandchildren. sensor has no grandchildren but has 5 children: internet, hair, blueberry, giraffe, and plan. pumpkin has no grandchildren. culture has no grandchildren. sales has no children. health has no children. car has two children; raccoon and steak. organization has no grandchildren but has 2 children: rug and plant. sand has no children. chip has no children. conditioner has no grandchildren. What is the cousin of the watch? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:040", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a tree. Then you move down-right for one step and see a persimmon. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a plum. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a printer. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a backpack. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a lychee. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a fish. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a peanut. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a car. Then you move right for one step and see a pie. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a mango. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a cake. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a kiwi. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you don't move for a while. Then you move up-left for one step and see a brush. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a tube. Then you move up-right for one step and see a paper. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a blueberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a blackberry. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a statue. Then you don't move for a while. Then you move down-right for one step and see a football. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a fig. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a mirror. Then you move up-right for one step and see a bean. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a cucumber. Then you don't move for a while. Then you move up-right for one step and see a stone. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a mug. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a watermelon. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step and see a raspberry. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a book. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a blackberry. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you jump back to the random vertex V and do the following moves: right, up-right, down-left, up-right, left, down-right, up-right, down-left, up-right, up-right, down-right, down-right, up-right, down-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:042", "request": "You have been given a tree structure with 225 nodes. towel, literature, and truck are siblings. charger has no grandchildren. microwave has no grandchildren. truck has 5 children: game, technology, mango, deer, and evaluation. gloves has no children. phone has no grandchildren but has 2 children: cake and sand. service has no grandchildren but has 2 children: efficiency and television. burger has no children. freedom has no grandchildren but has 4 children: ball, cow, needle, and food. reflection has no grandchildren. bed has no grandchildren but has 5 children: plant, system, lettuce, fly, and strength. book has no children. shortcut has no grandchildren. server has no grandchildren. literature has 16 grandchildren: turkey, grass, and social (whose parent is anchor), shade, lock, opportunity, and paper (whose parent is toy), phone, finger, sparkle, console, and relationship (whose parent is store), and transaction, branch, law, and matrix (whose parent is cat). shade has no grandchildren but has 2 children: medicine and teamwork. motivation has no children. sociology has no grandchildren. sequin has no children. finance has no grandchildren. soap has no grandchildren. psychology has no children. matrix has no grandchildren but has 2 children: joy and event. mango has 3 children: index, gradient, and instance. relationship has no grandchildren but has 3 children: salad, gathering, and juice. lake has no grandchildren but has 5 children: bag, tea, wallet, cloud, and freezer. branch has two children; plum and cabbage. tactic has two children; development and medal. console has no grandchildren but has 2 children: culture and tool. sound has no grandchildren. beaver has no children. music has no grandchildren. cabbage has no grandchildren. philosophy has no grandchildren but has 3 children: milk, monkey, and dropdown. marketing has two children; lamp and voltage. circuit has no children. social has no grandchildren but has 5 children: pearl, backpack, festival, museum, and cardboard. class has no children. tear has no children. sadness has no children. pineapple has 5 children: shape, fries, gloves, wolf, and interaction. poem has no grandchildren but has 3 children: bead, socks, and ornament. fries has no grandchildren. brick has no children. challenge has no grandchildren. jar has no children. paint has no grandchildren. pillow has 3 children: butterfly, rat, and anger. rat has no grandchildren. deer has 12 grandchildren: tear, motivation, elephant, and peace (whose parent is river), beaver, output, and book (whose parent is gate), virtual and reflection (whose parent is pill), and charger, banana, and sugar (whose parent is scissors). lobster has no children. towel has 17 grandchildren: service, bed, movement, and tablet (whose parent is documentary), present, luster, pillow, poem, and tactic (whose parent is style), bulb and lake (whose parent is method), marketing, pot, pineapple, and cry (whose parent is galaxy), and rain and zipper (whose parent is wind). zucchini has no grandchildren. lamp has no children. pot has no grandchildren but has 5 children: stove, blanket, image, mosque, and resistor. index has no grandchildren but has 2 children: lime and revolution. browser has no grandchildren. bulb has 4 children: chip, story, cherry, and environment. ring has no children. notification has no children. environment has no children. shape has no children. account has no children. butterfly has no grandchildren. game has 14 grandchildren: sociology, shortcut, and soap (whose parent is money), terminal, psychology, notification, and tensor (whose parent is shine), sequin and sound (whose parent is hospital), shell and burger (whose parent is phase), and challenge, recommendation, and plugin (whose parent is clock). battery has no grandchildren. evaluation has two children; scroll and diversity. beach has no grandchildren. chip has no children. sugar has no grandchildren. banana has no children. paper has no grandchildren. scroll has two children; circuit and editor. transaction has no grandchildren but has 2 children: happiness and badge. media has no children. cherry has no children. diversity has no children. terminal has no children. company has no children. grass has 4 children: curtain, lobster, company, and account. network has no grandchildren. medal has no children. voltage has no grandchildren. diary has no children. present has two children; dryer and jar. development has no children. coin has no grandchildren. interaction has no children. sparkle has 4 children: class, beach, microwave, and media. finger has no children. responsibility has no children. movement has no grandchildren but has 2 children: template and toe. anger has no children. virtual has no children. glitter has no grandchildren. tensor has no children. wolf has no children. elephant has no children. shell has no children. beer has no children. kite has no grandchildren but has 2 children: pixel and house. gradient has 5 children: finance, paint, responsibility, beer, and narrative. lock has no grandchildren but has 3 children: spectrum, poster, and emotion. law has 3 children: fabric, server, and brick. card has no children. instance has no grandchildren but has 4 children: innovation, algorithm, shrimp, and airplane. dryer has no grandchildren. table has no grandchildren but has 4 children: pumpkin, policy, collaboration, and radish. curtain has no grandchildren. cry has 3 children: wrench, glitter, and sheep. fabric has no children. zipper has 4 children: browser, ring, battery, and zucchini. peace has no grandchildren. rain has 4 children: diary, coin, network, and card. plugin has no grandchildren. narrative has no children. tablet has no grandchildren but has 3 children: leaf, email, and floor. luster has 3 children: music, library, and sadness. presentation has no grandchildren but has 4 children: printer, physics, page, and microphone. library has no grandchildren. wrench has no children. output has no children. story has no children. recommendation has no children. turkey has no grandchildren but has 4 children: village, ruler, sword, and controller. opportunity has no grandchildren but has 4 children: mouse, gem, rocket, and process. technology has 5 children: table, philosophy, presentation, kite, and freedom. editor has no grandchildren. plum has no children. sheep has no grandchildren. What is the cousin of the zipper? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:045", "request": "You have been given a tree structure with 148 nodes. motivation and sky are siblings. pill has 5 children: form, transaction, enterprise, flag, and clock. circuit has no grandchildren. laptop has no grandchildren. garlic has no children. celebration has 17 grandchildren: heart, ecosystem, inductor, and piano (whose parent is law), analysis and circuit (whose parent is problem), observation, salad, software, thought, and nail (whose parent is object), paint, rabbit, and ceremony (whose parent is fire), and activity, dream, and zebra (whose parent is ocean). risk has no grandchildren. passion has no children. clock has no grandchildren. pasta has no grandchildren. output has no grandchildren. lime has no grandchildren. rain has no children. chain has no children. turtle has no children. printer has no grandchildren but has 4 children: thread, ethics, cereal, and badge. belief has no grandchildren. rat has no grandchildren. muscle has no grandchildren. observation has no children. money has 16 grandchildren: design, camera, risk, and lime (whose parent is tooth), inspiration, opportunity, necklace, and scroll (whose parent is blueberry), development, clipboard, emotion, probability, and pasta (whose parent is threat), and toothpaste, button, and fabric (whose parent is challenge). umbrella has no grandchildren but has 5 children: music, window, forest, pillow, and principle. inspiration has no grandchildren. font has 11 grandchildren: rain, clustering, and pie (whose parent is prediction), password, cursor, passion, and wind (whose parent is earth), and rat, rug, chain, and sheep (whose parent is file). lecture has 4 children: pill, prompt, printer, and can. drill has no grandchildren. module has no children. heart has no children. drums has no grandchildren. dress has no children. thought has no grandchildren. mosque has 4 children: eye, gradient, keys, and belief. development has no children. rug has no children. wind has no grandchildren. software has no grandchildren. inductor has no children. analysis has no children. terminal has no grandchildren. form has no children. ceremony has no children. amplitude has no grandchildren. motivation has 5 children: lecture, anthropology, celebration, money, and font. zebra has no grandchildren. statistic has no grandchildren. prompt has 3 children: amplitude, campaign, and sign. jewel has no grandchildren. sky has 10 grandchildren: anger and farm (whose parent is branch), mosque, density, shelter, engine, and friend (whose parent is shovel), and database, umbrella, and broom (whose parent is fly). toothpaste has no grandchildren. emotion has no children. farm has no grandchildren but has 4 children: psychology, backpack, brush, and thorn. rabbit has no children. earrings has no children. coin has no grandchildren. anthropology has 11 grandchildren: terminal and earrings (whose parent is cow), radish and smoke (whose parent is table), message and algorithm (whose parent is comb), and jewel, statistic, laptop, muscle, and cucumber (whose parent is notebook). algorithm has no grandchildren. wing has no children. gathering has no children. opportunity has no grandchildren. gradient has no grandchildren. password has no children. camera has no children. necklace has no grandchildren. clipboard has no grandchildren. density has 4 children: output, turtle, diary, and module. fabric has no grandchildren. salad has no children. flag has no children. probability has no children. activity has no children. cucumber has no grandchildren. sign has no grandchildren. diary has no children. train has no grandchildren. smoke has no children. radio has no children. broom has no grandchildren but has 5 children: petal, tablet, ice, belt, and spider. scroll has no grandchildren. shelter has no grandchildren but has 2 children: resistor and butter. anger has no grandchildren but has 5 children: theme, sun, watch, cup, and classification. can has 3 children: drums, gathering, and dress. eye has no children. shade has no children. campaign has no grandchildren. enterprise has no grandchildren. clustering has no grandchildren. pie has no grandchildren. nail has no grandchildren. radish has no grandchildren. keys has no grandchildren. button has no children. paint has no children. sheep has no children. ecosystem has no grandchildren. database has 3 children: shade, radio, and drill. piano has no children. design has no grandchildren. cursor has no grandchildren. message has no grandchildren. transaction has no children. glass has no children. engine has 3 children: train, glass, and coin. dream has no children. friend has two children; garlic and wing. What is the cousin of the printer? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:046", "request": "You have been given a tree structure with 722 nodes. fox, gathering, lemon, and instrument are siblings. wall has no grandchildren. phone has no grandchildren but has 2 children: initiative and music. earth has no children. fabric has no grandchildren but has 5 children: style, duck, doll, food, and freedom. cup has 4 children: idea, wing, circuit, and river. archive has no grandchildren. tape has no grandchildren. sea has no grandchildren. current has 5 children: cabbage, plugin, pattern, photograph, and phone. ornament has no children. container has no grandchildren. mushroom has no grandchildren. bus has no grandchildren. lizard has no children. jewel has no grandchildren. festival has no children. hue has no grandchildren. lemon has 5 children: resilience, metal, constant, class, and dishwasher. pea has no children. mosquito has no children. rain has no grandchildren. clipboard has 3 children: mustache, microwave, and wall. diversity has no children. frame has no children. brain has no grandchildren. weakness has no grandchildren. butter has no grandchildren. storage has no grandchildren. query has no grandchildren but has 3 children: dirt, toy, and empowerment. pear has no children. drive has no children. floor has no children. hate has no children. education has no children. input has 5 children: suitcase, association, activation, experiment, and fence. ladder has no grandchildren but has 3 children: coral, vehicle, and light. sketch has no grandchildren. voltage has no grandchildren. tactic has no grandchildren. brush has 5 children: ethics, kangaroo, yarn, door, and diversity. skateboard has 16 grandchildren: banner, law, and tint (whose parent is forecast), enterprise, wire, gloves, technology, and bread (whose parent is change), tape and pillow (whose parent is ladybug), resource, helicopter, purpose, and event (whose parent is town), and business and sky (whose parent is sofa). valley has no children. bandage has no children. kangaroo has no children. emotion has no grandchildren but has 2 children: cow and nest. chair has no grandchildren. tool has no grandchildren. regulation has no grandchildren. matrix has no children. fixture has no children. wine has no grandchildren. drum has no grandchildren. internet has no children. piano has 5 children: tree, growth, theory, variety, and effectiveness. cricket has no grandchildren. gathering has two children; input and cluster. curtain has no grandchildren. spreadsheet has no grandchildren but has 5 children: key, thought, eraser, blueberry, and revolution. cookie has no grandchildren but has 3 children: depth, dog, and screwdriver. dishwasher has 4 children: skateboard, texture, chip, and amplitude. structure has no children. window has no children. tea has no children. farm has no children. smile has no grandchildren. hospital has no children. sunglasses has no grandchildren but has 3 children: razor, regression, and society. pizza has no grandchildren but has 2 children: harmony and motorcycle. dream has 5 children: bird, tea, raccoon, goal, and clock. museum has no grandchildren. bridge has no children. paint has no grandchildren but has 3 children: protocol, printer, and widget. console has 4 children: lock, building, drill, and shape. helmet has 3 children: follower, controller, and conditioner. tensor has no children. beach has two children; turtle and storage. stem has no children. house has 3 children: brain, algorithm, and application. silence has no grandchildren. correlation has no children. flower has no children. module has no children. risk has 5 children: rocket, justice, balloon, eye, and chicken. ant has no children. galaxy has no children. innovation has no grandchildren but has 2 children: fish and history. glue has no grandchildren. influence has 8 grandchildren: legacy and blanket (whose parent is cave), can and ornament (whose parent is lobster), and interface, bear, garden, and museum (whose parent is stage). legacy has no grandchildren. eggplant has no children. threat has no grandchildren but has 4 children: model, giraffe, landscape, and medicine. lock has 5 children: rain, sea, elegance, raspberry, and media. painting has no grandchildren but has 2 children: cat and frog. marketing has no children. sensor has no grandchildren. desk has no grandchildren. dryer has no grandchildren but has 2 children: heart and workflow. can has no grandchildren. philosophy has no grandchildren. tongue has no grandchildren. ice has no grandchildren but has 5 children: literature, cloth, software, quantum, and trumpet. suitcase has 11 grandchildren: task, community, and needle (whose parent is sheet), park, pencil, onion, and astronomy (whose parent is deploy), and window, glasses, eggplant, and font (whose parent is sequin). anchor has no children. database has no grandchildren. knife has no grandchildren. temple has no grandchildren. rope has no children. bulb has no grandchildren. movie has no children. bucket has no children. cluster has 11 grandchildren: pig, browser, table, and energy (whose parent is campaign), dream, badge, and spinach (whose parent is scale), and paint, emotion, piano, and orange (whose parent is slider). belief has 5 children: blood, cry, dance, sparkle, and sadness. terminal has no grandchildren. activation has 4 children: button, wind, tiger, and engagement. sky has no grandchildren. clock has no children. shell has no children. index has no grandchildren. jacket has 12 grandchildren: lecture and frequency (whose parent is sales), medal, galaxy, moon, movie, and mushroom (whose parent is profile), processor, machine, and zipper (whose parent is exhibition), and sun and ring (whose parent is celery). spoon has no children. burger has no grandchildren but has 4 children: pin, crystal, ceremony, and desert. strength has no grandchildren but has 4 children: image, port, unity, and linguistics. oven has no children. dance has 5 children: tool, objective, slug, towel, and politics. letter has no grandchildren but has 2 children: page and socks. orange has no grandchildren but has 4 children: radio, instance, village, and cherry. augmented has 5 children: jar, cardboard, block, silence, and simulation. framework has 11 grandchildren: beak and capacitor (whose parent is method), engineering, keyboard, and valley (whose parent is card), correlation, sound, branch, and signal (whose parent is dust), and festival and mug (whose parent is milk). optimization has no children. justice has no children. result has no children. goose has no grandchildren. thread has no children. lace has no grandchildren. crown has no grandchildren but has 2 children: ruler and play. blood has 5 children: kite, notebook, result, truth, and leather. lecture has no grandchildren. joy has no grandchildren but has 5 children: store, impact, wrench, elephant, and statue. report has no grandchildren. blanket has no children. tower has no grandchildren. leather has no grandchildren. library has no children. volume has no grandchildren. monkey has no children. circuit has 4 children: environment, rhythm, checkbox, and resistance. hair has no children. equality has no grandchildren. microwave has no grandchildren. nose has no children. tree has no children. drill has no grandchildren but has 3 children: cable, waterfall, and root. ocean has no children. prompt has no children. wind has two children; spectrum and power. towel has no grandchildren. environment has no children. prediction has no children. platform has no children. wood has no grandchildren. commit has no children. activity has 4 children: bridge, anthropology, curtain, and claw. chocolate has no grandchildren. badge has no grandchildren but has 4 children: wisdom, ball, donut, and train. island has no children. conference has no grandchildren but has 3 children: pepper, culture, and presentation. law has no children. engineering has no children. bear has no children. table has 4 children: freezer, scooter, furniture, and analog. clip has no children. process has no children. plugin has no grandchildren but has 4 children: shrimp, rock, device, and wolf. management has no grandchildren. rhythm has no grandchildren. calendar has no children. resistance has no children. elegance has no grandchildren. gate has no grandchildren but has 2 children: cache and documentary. social has no children. community has no children. cake has no children. simulation has no grandchildren. ticket has no children. algorithm has no children. venture has no grandchildren. pill has 12 grandchildren: commit and record (whose parent is tomato), client, shell, feeling, tensor, and island (whose parent is network), and poster, grass, tooth, gateway, and pen (whose parent is message). tooth has no grandchildren. washer has no children. glitter has no grandchildren. luster has no grandchildren. actuator has no grandchildren. ritual has no grandchildren. speaker has no grandchildren. park has no grandchildren. furniture has no grandchildren. rocket has no children. task has no grandchildren. garden has no children. nail has no grandchildren. squash has 5 children: weight, management, firewall, plant, and hue. plane has no children. button has no grandchildren but has 5 children: classification, vacuum, illusion, shampoo, and horse. objective has no grandchildren. custom has no grandchildren. skin has no children. story has no grandchildren. memory has 3 children: report, architecture, and seminar. cry has no grandchildren but has 2 children: symmetry and convention. signal has no children. scarf has no children. pattern has no grandchildren but has 2 children: simplicity and relic. fur has two children; speaker and internet. lettuce has no grandchildren. capacitor has no children. spinach has no grandchildren but has 5 children: mosque, sand, comb, chemistry, and soda. bed has no children. editor has no children. constant has 5 children: fig, helmet, shade, influence, and potato. water has two children; system and coin. inspiration has no grandchildren. performance has 5 children: drive, prompt, petal, ticket, and roof. peach has no children. moon has no grandchildren. grass has no grandchildren. juice has no grandchildren but has 4 children: concert, communication, cereal, and parameter. workshop has 11 grandchildren: phase and burger (whose parent is bowl), water, beach, interaction, and wine (whose parent is progress), and validation, shirt, zucchini, foot, and wave (whose parent is contrast). effectiveness has no grandchildren. beaver has no children. resource has no grandchildren. browser has no grandchildren but has 4 children: repository, development, analysis, and grape. snow has no children. goal has no grandchildren. technology has no grandchildren. turtle has no children. eye has no children. avatar has no children. texture has 12 grandchildren: melon, ant, pear, puzzle, and floor (whose parent is success), bike, snow, umbrella, poem, and geology (whose parent is axe), and editor and bulb (whose parent is router). bottle has no grandchildren. idea has 3 children: glass, thread, and tone. astronomy has no children. headphones has no grandchildren. door has no children. responsibility has no grandchildren. brick has 8 grandchildren: television, peach, thorn, and clip (whose parent is failure), ocean and voltage (whose parent is advantage), and monkey and creativity (whose parent is fridge). meeting has two children; happiness and tactic. wing has no grandchildren but has 3 children: present, experience, and artifact. gateway has no children. leaf has no grandchildren. phase has no grandchildren but has 2 children: project and box. smoke has 3 children: smile, clustering, and bed. solution has no children. carrot has two children; address and couch. salad has two children; audio and content. machine has no children. audio has no children. potato has 4 children: threat, spreadsheet, painting, and finance. anthropology has no grandchildren. energy has two children; avatar and marker. program has no grandchildren. kite has no grandchildren. clustering has no children. mango has no children. notebook has no children. cardboard has no grandchildren. variable has no grandchildren. happiness has no children. strategy has no children. cassette has no children. feeling has no grandchildren. future has no children. goat has no grandchildren. resilience has 11 grandchildren: coat and carrot (whose parent is hill), website, query, battery, lime, and conclusion (whose parent is song), and innovation, soap, memory, and augmented (whose parent is concept). coin has no grandchildren. power has no children. spectrum has no grandchildren. poem has no children. scroll has 12 grandchildren: frame, education, and strategy (whose parent is motivation), variable and skin (whose parent is package), library and lettuce (whose parent is toe), and server, bus, pan, hate, and beaver (whose parent is standard). bird has no children. seed has no children. record has no grandchildren. shovel has no children. shade has 19 grandchildren: shovel, date, theme, silk, and farm (whose parent is problem), venture, cassette, fixture, hat, and headphones (whose parent is dress), pea and platform (whose parent is toothbrush), treasure and mango (whose parent is corn), and prediction, shine, steak, philosophy, and glue (whose parent is trend). pig has no grandchildren but has 5 children: service, balance, disc, collaboration, and password. content has no children. design has no children. event has no grandchildren. screw has no grandchildren. ethics has no grandchildren. sadness has 5 children: design, weakness, broom, future, and celebration. analog has no grandchildren. banner has no children. keys has no grandchildren but has 4 children: lion, egg, photo, and density. silk has no grandchildren. instrument has 12 grandchildren: bead, castle, and current (whose parent is evaluation), pill, belief, and jacket (whose parent is coconut), cup, console, and framework (whose parent is paper), and scroll, rubber, and brick (whose parent is trashcan) and 1 children: mountain. jar has no grandchildren. cabbage has 5 children: archive, hair, cake, chair, and inspiration. mug has no grandchildren. sound has no children. steak has no children. map has no grandchildren. bead has 12 grandchildren: luster, cotton, pineapple, ritual, and proportion (whose parent is cucumber), marketing, norm, social, stem, and desk (whose parent is projector), and seed and love (whose parent is digital). game has no children. wave has no grandchildren but has 4 children: salt, policy, cloud, and bean. shine has no children. wallet has no children. poster has no children. checkbox has no children. politics has no grandchildren. class has 7 grandchildren: meeting, ladder, salad, clipboard, and fabric (whose parent is shadow) and broccoli and pizza (whose parent is shoes). broom has no children. drink has no grandchildren. pumpkin has no children. tint has no grandchildren. thorn has no grandchildren. corporation has no grandchildren but has 4 children: violin, vector, belt, and pipeline. movement has 4 children: process, goat, database, and glitter. ring has no grandchildren. raspberry has no children. computer has no children. anger has no grandchildren. pan has no grandchildren. chat has no children. wire has no grandchildren. television has no grandchildren. beard has no grandchildren. enterprise has no grandchildren. helicopter has no children. lime has no grandchildren but has 5 children: watch, emphasis, planet, purse, and passion. validation has two children; spoon and rabbit. castle has 3 children: conference, movement, and letter. building has two children; sensor and chocolate. system has no grandchildren. firewall has no children. fire has no grandchildren but has 4 children: portrait, guitar, addon, and status. river has 3 children: optimization, anger, and icecream. money has no children. fig has two children; joy and squash. beak has no children. slug has no children. flag has 3 children: mosquito, pumpkin, and wood. heuristic has 9 grandchildren: sunglasses, flag, house, and crown (whose parent is opportunity) and fire, hammer, strength, dryer, and ice (whose parent is distribution). frequency has no grandchildren. claw has no children. address has no children. tear has no children. scooter has no children. laptop has no grandchildren. candle has no grandchildren but has 5 children: clothing, transformation, template, butterfly, and plum. fence has 9 grandchildren: sketch, terminal, equality, and knife (whose parent is transistor), airplane, hospital, and solution (whose parent is bow), and drum and jewel (whose parent is email). coat has no grandchildren but has 4 children: squirrel, necklace, stamp, and debugger. yarn has no grandchildren. procedure has no grandchildren. chip has 5 children: corporation, candle, risk, shortcut, and performance. interaction has 4 children: switch, tower, leaf, and laptop. soap has two children; psychology and earth. puzzle has no grandchildren. rabbit has no children. psychology has no children. pillow has no children. zipper has no grandchildren. business has no children. pen has no children. theory has no grandchildren. engagement has no grandchildren but has 3 children: hand, icon, and globe. architecture has no grandchildren. seminar has no grandchildren. association has 5 grandchildren: money, rope, and game (whose parent is scissors) and crab and actuator (whose parent is toolbar). bee has no children. server has no grandchildren. umbrella has no children. marker has no grandchildren. variety has no children. cheese has no grandchildren. bike has no grandchildren. application has no children. weight has no children. norm has no grandchildren. melon has no grandchildren. conditioner has no grandchildren but has 4 children: plan, physics, ecosystem, and advertisement. hammer has no grandchildren but has 2 children: stone and health. theme has no grandchildren. zucchini has 3 children: drink, washer, and feather. proportion has no children. airplane has no children. controller has two children; statistic and plane. media has no grandchildren. love has no grandchildren. needle has no children. link has no children. finance has no grandchildren but has 4 children: boat, forum, avocado, and pearl. rice has no grandchildren. petal has no grandchildren. earrings has no grandchildren. couch has no children. battery has two children; diode and module. follower has no grandchildren but has 4 children: accessory, shield, mop, and adapter. date has no grandchildren. measurement has no grandchildren but has 2 children: equipment and friend. purpose has no children. pencil has no grandchildren. foot has no grandchildren but has 5 children: star, rat, engine, cursor, and connection. branch has no children. diode has no grandchildren. amplitude has 18 grandchildren: map, lizard, and kiwi (whose parent is virtual), nose, wallet, bandage, temple, and program (whose parent is mirror), regulation, screw, hardware, lace, and banana (whose parent is disk), and structure, story, goose, cricket, and flower (whose parent is charger). medal has no children. shirt has no grandchildren but has 3 children: toothpaste, tradition, and sociology. merge has no children. footer has 3 children: responsibility, procedure, and pliers. onion has no children. gloves has no grandchildren. conclusion has 3 children: container, computer, and oven. truth has no grandchildren. cotton has no children. hardware has no children. client has no children. font has no children. processor has no grandchildren. celebration has no grandchildren. bread has no grandchildren. website has 4 children: earrings, nail, link, and index. pineapple has no children. switch has no grandchildren. block has no children. rubber has 10 grandchildren: custom, chat, volume, merge, and calendar (whose parent is universe), cheese, file, and bottle (whose parent is tissue), and truck and beard (whose parent is ceiling). crab has no grandchildren. tiger has no grandchildren but has 2 children: saw and username. pliers has no children. feather has no children. glasses has no children. raccoon has no grandchildren. mustache has no grandchildren. hat has no children. photograph has no grandchildren but has 5 children: finger, evolution, wool, folder, and remote. banana has no children. statistic has no grandchildren. growth has no grandchildren. drums has 3 children: bee, matrix, and scarf. glass has no grandchildren. tone has no grandchildren. freezer has no grandchildren. metal has 7 grandchildren: drums, measurement, and smoke (whose parent is company), juice and gate (whose parent is probability), and keys and footer (whose parent is economics). keyboard has no children. broccoli has 3 children: tongue, anchor, and rice. sparkle has no grandchildren but has 4 children: muscle, article, sustainability, and improvement. truck has no children. sun has no children. roof has no children. experiment has 4 children: activity, cookie, fur, and brush. shortcut has two children; account and bucket. kiwi has no grandchildren. fox has two children; workshop and heuristic. transition has no grandchildren. interface has no children. creativity has no children. icecream has no children. file has no children. account has no grandchildren. plant has no grandchildren. shape has 4 children: transition, recommendation, butter, and tear. balloon has no grandchildren. recommendation has no grandchildren. chicken has no grandchildren. treasure has no grandchildren. geology has no grandchildren. What is the cousin of the suitcase? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:051", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a grapefrut. Then you move down-right for one step and see a cell phone. Then you don't move for a while. Then you move down-left for one step and see a raspberry. Then you move down-right for one step and see a lychee. Then you move down-left for one step and see a mug. Then you don't move for a while. Then you move down-right for one step and see a can. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a desk. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a potato. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a snake. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a statue. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a mango. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a knife. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a bike. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a strawberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a persimmon. Then you move down-right for one step and see a fork. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a stone. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step and see a tree. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a pomegranate. Then you move down-right for one step and see a peanut. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a car. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:055", "request": "You have been given a tree structure with 635 nodes. shine, contrast, and bee are siblings. rhythm has no grandchildren. tower has no children. shape has no grandchildren. analog has no children. microwave has no grandchildren but has 5 children: cow, tongue, physics, projector, and model. record has no grandchildren. sketch has no children. chemistry has no grandchildren. convention has no grandchildren but has 3 children: petal, keys, and email. ruler has 4 children: culture, raspberry, router, and custom. peach has no grandchildren. cabbage has 4 children: ball, drive, theme, and mosquito. regulation has two children; layer and drink. balloon has no children. suitcase has no grandchildren. gathering has no grandchildren. anthropology has no children. poster has no children. door has no grandchildren. fence has 3 children: pig, kiwi, and joy. squash has no grandchildren. hammer has no children. repository has 4 children: bowl, tower, bridge, and finance. hue has 4 children: algorithm, bike, feather, and fear. tactic has no grandchildren. frequency has no grandchildren. fear has no children. roof has no grandchildren. microphone has no children. venture has 3 children: drum, platform, and truck. ribbon has no children. raccoon has no grandchildren. diode has 3 children: architecture, chemistry, and television. future has no grandchildren. development has 18 grandchildren: sand and purpose (whose parent is grape), light, star, shoes, and remote (whose parent is salad), sound, sustainability, and medicine (whose parent is umbrella), workshop, soda, bandage, and song (whose parent is school), and patch, squirrel, container, pillow, and deer (whose parent is island). candy has 3 children: management, cloud, and evolution. store has no grandchildren. laugh has no children. apple has no children. merge has no grandchildren. town has no grandchildren. statistic has no grandchildren. wool has no children. socket has no children. webpage has 4 children: burger, density, cabbage, and fig. paper has no grandchildren but has 3 children: photograph, zucchini, and bean. philosophy has two children; food and simulation. spider has 4 children: symmetry, query, cave, and comb. seed has no children. joy has 4 children: microwave, coin, digital, and desert. dance has no grandchildren. drums has no grandchildren. stove has no grandchildren. food has no grandchildren but has 4 children: smile, environment, leaf, and window. notebook has no grandchildren. footer has no children. campaign has two children; responsibility and sensor. cluster has 3 children: gate, frequency, and advantage. sparkle has two children; wood and bird. economics has no grandchildren. problem has no grandchildren. onion has no children. router has no children. silk has no grandchildren. influence has 15 grandchildren: purse, pen, house, candle, and analog (whose parent is literature), shadow, emotion, size, economics, and wind (whose parent is bead), chicken and scissors (whose parent is performance), and backpack, vacuum, and elephant (whose parent is password). transaction has no children. transformation has no children. cave has no grandchildren. raspberry has no children. conference has 8 grandchildren: file, squash, and bottle (whose parent is floor), garlic and shape (whose parent is power), and objective, health, and merge (whose parent is ornament). purse has no grandchildren. medicine has no children. rat has no grandchildren but has 2 children: goose and toothpaste. keyboard has 4 children: lettuce, skirt, influence, and play. goat has no grandchildren. sustainability has no grandchildren. landscape has 12 grandchildren: progress, pear, and forum (whose parent is conditioner), washer, rope, town, and process (whose parent is library), and bread, resistance, astronomy, correlation, and sign (whose parent is ear). meeting has no children. avatar has no grandchildren. font has no grandchildren. box has no grandchildren. leather has 5 children: silk, tab, wrench, hair, and mango. responsibility has no grandchildren. internet has 3 children: lobster, scale, and solution. weight has no grandchildren. hair has no children. support has no grandchildren but has 4 children: function, project, editor, and earrings. widget has no children. organization has two children; dropdown and program. pliers has no grandchildren. current has no children. query has no grandchildren. phase has no grandchildren. history has no grandchildren but has 4 children: airplane, mosque, mustache, and medal. layer has no children. browser has no children. server has no children. garlic has no children. pearl has no grandchildren but has 2 children: follower and snail. activity has no grandchildren. screw has 5 children: wisdom, fixture, record, chain, and stove. tab has no children. emotion has no children. trophy has 5 children: necklace, raccoon, engine, tool, and sea. broccoli has no grandchildren. shrimp has no children. coin has no grandchildren but has 3 children: relationship, input, and change. candle has no grandchildren. tensor has two children; treasure and peace. guitar has 3 children: header, hammer, and statistic. folder has no grandchildren. fixture has no children. technology has no grandchildren. pillow has no grandchildren. rock has no grandchildren. backpack has no children. glass has no children. empowerment has no grandchildren. bowl has no children. custom has no children. piano has no grandchildren. hat has no children. flag has no children. train has 13 grandchildren: package, thread, blood, and paper (whose parent is instrument), snow, hue, regulation, and tensor (whose parent is sun), and deploy, turtle, leather, cluster, and goodness (whose parent is nest). pants has no grandchildren. advertisement has no grandchildren but has 5 children: arrow, pipeline, valley, compass, and cup. feather has no children. foot has no children. sound has no grandchildren. tool has no grandchildren. vacuum has no children. blueberry has 4 children: campaign, candy, anchor, and improvement. cable has no grandchildren. watch has no children. lemon has no children. lettuce has 21 grandchildren: movement, rhythm, resilience, and gathering (whose parent is eggplant), current, gloves, pill, box, and ant (whose parent is earth), social, onion, love, and claw (whose parent is reflection), texture, resistor, wallet, cache, and poem (whose parent is lion), and challenge, passion, and poster (whose parent is fabric). violin has no grandchildren. tea has no children. comb has no grandchildren. astronomy has no children. bridge has no grandchildren. star has no children. deer has no grandchildren. terminal has no grandchildren. cursor has no children. geology has no children. social has no grandchildren. unity has no grandchildren but has 5 children: interface, orange, parameter, enterprise, and pizza. cake has no grandchildren but has 4 children: signal, branch, plant, and observation. fish has 3 children: peach, dream, and code. disc has no grandchildren. boat has no grandchildren. belt has 8 grandchildren: table, topic, education, socket, and kite (whose parent is forecast) and server, puzzle, and disc (whose parent is art). pencil has 3 children: notebook, geology, and sandwich. tradition has 15 grandchildren: cheese, anthropology, switch, church, and glitter (whose parent is concept), lemon, mug, phone, tactic, and date (whose parent is inspiration), and activity, banana, chat, ribbon, and meeting (whose parent is wire). drink has no grandchildren. engine has no grandchildren. sensor has no grandchildren. content has no grandchildren but has 2 children: yogurt and software. peace has no children. headphones has no children. standard has no children. dishwasher has no children. avocado has no children. car has no grandchildren but has 5 children: melon, marketing, galaxy, speaker, and website. package has no grandchildren but has 3 children: razor, slider, and spinach. network has no children. passion has no children. platform has no grandchildren but has 5 children: page, strategy, furniture, shield, and psychology. couch has 13 grandchildren: ceiling, apple, and balloon (whose parent is river), plan, cardboard, and hub (whose parent is metal), pants, template, and standard (whose parent is document), vector and piano (whose parent is mop), and cotton and classification (whose parent is bow). doll has two children; article and spreadsheet. code has no grandchildren. procedure has 4 children: broom, technology, object, and store. puzzle has no grandchildren. potato has no grandchildren but has 5 children: bulb, grass, zebra, gateway, and fur. advantage has no children. remote has no grandchildren. fig has 5 children: norm, fridge, helmet, connector, and system. elegance has no grandchildren but has 3 children: donut, coffee, and juice. table has no grandchildren. game has no grandchildren. bandage has no children. pen has no grandchildren. mouth has no grandchildren. solution has no children. simulation has no grandchildren but has 2 children: device and glasses. value has no children. correlation has no grandchildren. dress has no children. ceremony has no children. bee has 16 grandchildren: science, couch, fries, and stone (whose parent is theory), landscape, venture, webpage, and conference (whose parent is worm), belt, clustering, and philosophy (whose parent is book), and sparkle, blueberry, development, application, and charger (whose parent is connection). soda has no grandchildren. shine has 7 grandchildren: key, doll, tradition, and controller (whose parent is tape) and debugger, organization, and transistor (whose parent is domain). map has no grandchildren. wallet has no grandchildren. fries has 5 children: capacitor, car, history, guitar, and spider. battery has no children. wave has no grandchildren. movement has no children. adapter has no children. necklace has no children. beaver has no grandchildren. butterfly has no grandchildren. mango has no grandchildren. module has no grandchildren. root has no grandchildren. holiday has no grandchildren. method has no children. claw has no grandchildren. phone has no grandchildren. media has no children. feeling has two children; glass and icon. news has no children. crown has no grandchildren. scissors has no children. sofa has no children. ceiling has no grandchildren. bread has no children. initiative has no grandchildren but has 5 children: alert, transition, tissue, saw, and pin. mug has no grandchildren. garden has no children. sea has no grandchildren. health has no grandchildren. dream has no children. smoke has no children. rope has no children. light has no children. objective has no children. printer has no children. skirt has 5 children: gem, pencil, impact, prediction, and exhibition. switch has no grandchildren. church has no grandchildren. shade has no grandchildren. stone has 12 grandchildren: pliers and engineering (whose parent is clock), camera, lecture, and microphone (whose parent is effort), soap and museum (whose parent is music), idea, corporation, and future (whose parent is shortcut), and cable and hat (whose parent is planet). crab has no children. poem has no grandchildren. cotton has no children. cache has no children. scale has no grandchildren. bird has two children; ceremony and laugh. controller has two children; letter and unity. density has no grandchildren but has 4 children: axe, notification, sugar, and biology. painting has no grandchildren but has 2 children: dirt and temple. glue has no children. cheese has no children. glitter has no children. resilience has no children. engagement has no grandchildren. pear has no grandchildren. mosquito has no grandchildren. result has no grandchildren. narrative has no children. fly has no grandchildren. date has no grandchildren. instance has no children. process has no children. accessory has no grandchildren. plane has 4 children: neural, problem, battery, and cricket. love has no children. improvement has 3 children: helicopter, sofa, and pasta. wind has no grandchildren. resistor has no children. burger has no grandchildren but has 3 children: pot, disk, and dustpan. object has no grandchildren. education has no children. vehicle has no grandchildren but has 4 children: tint, experiment, motorcycle, and water. paint has no children. park has no children. bottle has no children. soap has no grandchildren. wrench has no children. broom has no grandchildren. address has two children; park and wave. leadership has no children. tear has no grandchildren. decoration has no grandchildren. lecture has no children. engineering has no grandchildren. connector has no grandchildren. appliance has no grandchildren but has 2 children: thought and risk. template has no children. container has no grandchildren. turtle has no grandchildren but has 4 children: pixel, rubber, concert, and augmented. application has 16 grandchildren: glue, door, narrative, hardware, and value (whose parent is muscle), watch and map (whose parent is actuator), radio, news, and shovel (whose parent is dust), network, fly, engagement, and mouth (whose parent is hashtag), and folder and illusion (whose parent is rabbit). communication has no children. exhibition has no grandchildren but has 5 children: fire, toolbar, village, anger, and farm. steak has no grandchildren. gloves has no grandchildren. contrast has 4 children: keyboard, fence, train, and activation. cry has no grandchildren. television has no children. deploy has 5 children: holiday, tear, crab, crown, and widget. innovation has 3 children: balance, shrimp, and weight. sign has no grandchildren. desert has no grandchildren but has 4 children: calendar, prompt, partnership, and wing. wine has no children. letter has 3 children: beaver, transaction, and event. frog has no children. balance has no grandchildren. helicopter has no children. chain has no grandchildren. drum has two children; yarn and communication. horse has no children. hope has 5 children: tree, browser, toothbrush, broccoli, and equality. idea has no grandchildren. cloud has no children. blood has no grandchildren but has 4 children: tooth, celebration, weakness, and lesson. size has no grandchildren. bike has no grandchildren. header has no grandchildren. song has no children. spreadsheet has 4 children: dishwasher, printer, rock, and horse. dropdown has no grandchildren but has 5 children: probability, rice, database, city, and clipboard. texture has no children. patch has no grandchildren. system has no grandchildren. evolution has no children. icon has no children. presentation has no children. culture has no grandchildren. hardware has no grandchildren. helmet has no children. zipper has no grandchildren. capacitor has no grandchildren but has 2 children: kangaroo and tiger. chicken has no grandchildren. hub has no grandchildren. kite has no grandchildren. illusion has no children. chip has 5 children: method, frog, hand, footer, and cursor. chat has no grandchildren. friend has no grandchildren. kiwi has 5 children: wool, ruler, potato, plane, and appliance. finance has no grandchildren. elephant has no children. activation has 13 grandchildren: dance and initiative (whose parent is effectiveness), support and company (whose parent is rug), repository, convention, vehicle, and chip (whose parent is waterfall), address, internet, and painting (whose parent is video), and trophy and advertisement (whose parent is shirt). ball has no grandchildren. prediction has no grandchildren but has 2 children: shelter and trend. money has no grandchildren. resistance has no children. science has 4 children: screw, elegance, procedure, and index. forum has no children. clustering has 6 grandchildren: phase, wine, and font (whose parent is depth) and suitcase, game, and avatar (whose parent is drawing). house has no children. gem has no grandchildren but has 3 children: disadvantage, chocolate, and cat. anchor has 3 children: goat, media, and presentation. event has no children. company has no grandchildren but has 3 children: castle, towel, and sheet. truck has 5 children: garden, beach, foot, friend, and sketch. charger has two children; diode and fish. cereal has no children. plan has no children. impact has no grandchildren but has 3 children: scroll, beard, and efficiency. tree has no children. challenge has no children. field has no children. hand has no children. cardboard has no grandchildren. banana has no children. beach has no grandchildren. gate has no children. wood has no grandchildren but has 4 children: strawberry, forest, guideline, and portrait. equality has no grandchildren. sandwich has no grandchildren. cricket has no grandchildren. play has 5 children: innovation, pearl, cake, content, and rat. thread has no grandchildren but has 5 children: artifact, ticket, asparagus, stapler, and quantum. goodness has no grandchildren but has 2 children: coat and virtual. transistor has 10 grandchildren: steak, money, and tea (whose parent is constant), instance and zipper (whose parent is brush), smoke, pea, and transformation (whose parent is cherry), and headphones and scarf (whose parent is sponge). scarf has no grandchildren. shadow has no children. camera has no children. symmetry has no grandchildren. shoes has no grandchildren. vector has no grandchildren. program has no grandchildren but has 5 children: society, popup, stem, lamp, and butter. algorithm has no grandchildren. shovel has no children. norm has no grandchildren. theme has no children. key has 3 children: hope, feeling, and field. architecture has no children. file has no grandchildren. squirrel has no grandchildren. progress has no children. radio has no children. digital has no grandchildren but has 2 children: screwdriver and inductor. article has no grandchildren but has 5 children: snake, lock, pie, toe, and sadness. gradient has no grandchildren. lobster has no grandchildren. corporation has no children. pill has no children. treasure has no children. workshop has no children. debugger has 15 grandchildren: seed, cry, dress, and shade (whose parent is circuit), flag, cereal, violin, and boat (whose parent is frame), butterfly, root, and module (whose parent is jar), and result, decoration, leadership, and terminal (whose parent is carrot). ant has no children. wisdom has no children. topic has no grandchildren. neural has no grandchildren. yarn has no grandchildren. washer has no children. drive has no grandchildren. index has no grandchildren but has 4 children: ice, variety, wall, and bucket. pea has no grandchildren. sand has no children. fridge has no children. classification has no children. purpose has no grandchildren. pig has 8 grandchildren: drums and roof (whose parent is skin), empowerment and adapter (whose parent is memory), and gradient, avocado, accessory, and paint (whose parent is trumpet). museum has no children. toothbrush has no grandchildren. management has no children. pasta has no grandchildren. snow has no grandchildren but has 3 children: linguistics, structure, and proportion. What is the cousin of the device? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:056", "request": "You have been given a tree structure with 756 nodes. analysis, venture, chair, and port are siblings. analog has no children. ladder has no grandchildren but has 3 children: wing, pin, and prediction. plastic has no children. username has no children. drawing has 5 children: pumpkin, fox, failure, pea, and thought. foot has no grandchildren. remote has no grandchildren but has 5 children: tone, module, salt, cloth, and interaction. experiment has no grandchildren. organization has no children. bird has no grandchildren but has 3 children: pants, worm, and wood. parameter has no children. rhythm has no grandchildren but has 4 children: frequency, patch, pig, and mirror. artifact has 4 children: steak, sea, movie, and experiment. garden has no grandchildren. legacy has no grandchildren. television has no grandchildren. orange has no grandchildren. seminar has no grandchildren but has 4 children: goose, dirt, effectiveness, and coral. equipment has no grandchildren. science has no grandchildren. avocado has no grandchildren. celebration has no grandchildren. socks has no children. engine has no grandchildren but has 2 children: blueberry and scooter. result has no grandchildren. support has no grandchildren. cricket has no grandchildren. silence has no grandchildren. art has no grandchildren. mushroom has no grandchildren but has 3 children: pillow, media, and dust. influence has no children. belief has no grandchildren. coffee has no grandchildren. accountability has no grandchildren. razor has no grandchildren. anger has no grandchildren. solution has no grandchildren. needle has no children. ribbon has two children; ticket and amplitude. jacket has 13 grandchildren: bus, inspiration, and resilience (whose parent is coin), server, class, bulb, hammer, and headphones (whose parent is protocol), flower, banner, and efficiency (whose parent is deer), and ladder and trashcan (whose parent is butter). building has no children. icon has no children. tensor has no grandchildren but has 4 children: hub, dog, address, and sheet. corporation has no children. festival has 3 children: diary, relationship, and movement. crystal has no grandchildren. trophy has no grandchildren. proportion has no grandchildren. shoes has 5 children: stage, instance, cave, statue, and computer. problem has no grandchildren. documentary has no grandchildren. success has no grandchildren but has 4 children: notification, shield, luster, and chip. laptop has no children. voltage has 5 children: geology, nest, success, density, and wine. emphasis has no children. blog has no children. turtle has no grandchildren. spinach has no grandchildren. melon has 10 grandchildren: weight, concept, program, shortcut, and network (whose parent is grass) and tactic, dryer, screen, sales, and pill (whose parent is book). castle has no grandchildren but has 3 children: objective, relic, and plan. ring has no children. cable has 5 children: necklace, convention, spectrum, celebration, and status. thought has no grandchildren. nose has no grandchildren. advertisement has two children; screw and linguistics. glue has no grandchildren. transistor has no children. scissors has 3 children: island, cloud, and bread. font has 3 children: mushroom, sadness, and money. snake has no grandchildren but has 2 children: communication and sketch. soap has no children. tear has no grandchildren. instance has no grandchildren but has 2 children: knife and pixel. stage has 3 children: repository, brain, and school. shell has no grandchildren. diversity has no grandchildren but has 5 children: cursor, coat, threat, play, and piano. theme has no children. dropdown has no grandchildren. efficiency has 4 children: ice, science, equipment, and problem. environment has two children; yarn and processor. website has no children. tint has no children. spectrum has no grandchildren. matrix has 9 grandchildren: fork, corn, actuator, and ear (whose parent is brush) and structure, block, water, waterfall, and wisdom (whose parent is fridge). earrings has no grandchildren. creativity has 4 children: burger, smoke, plastic, and airplane. nest has no grandchildren but has 3 children: passion, tomato, and wind. browser has no grandchildren. letter has no children. garlic has no children. variable has 15 grandchildren: wire, analog, jewel, and turtle (whose parent is query), tint, lake, beaver, and narrative (whose parent is axe), card and stamp (whose parent is meeting), and curtain, ring, suitcase, pen, and meaning (whose parent is fixture). nail has no children. fig has no children. motorcycle has no children. sea has no grandchildren. function has 5 children: template, content, stapler, variety, and television. necklace has no grandchildren. horse has no children. date has 5 children: dropdown, microphone, ritual, chemistry, and pipeline. radio has 5 children: crystal, clustering, socket, menu, and result. fork has no children. recommendation has no grandchildren. vacuum has no grandchildren. stapler has no grandchildren. water has no children. printer has 3 children: duck, belief, and sheep. asparagus has no children. clustering has no grandchildren. pear has no grandchildren. finger has 5 children: spinach, rat, bike, library, and growth. health has no grandchildren. heuristic has no grandchildren. broom has no children. port has 5 children: fish, jacket, melon, clip, and helicopter. challenge has no grandchildren. transaction has no grandchildren. paint has no children. stove has no children. dance has no grandchildren. record has 5 children: transistor, vacuum, dance, rope, and broccoli. shovel has no children. block has no children. observation has no grandchildren. fly has no grandchildren. risk has no grandchildren. resistance has no children. soda has no grandchildren but has 5 children: revolution, effort, eraser, layer, and ant. lettuce has 5 children: device, folder, tensor, cry, and sequin. banner has two children; webpage and glasses. thorn has no grandchildren. audio has no children. model has no grandchildren. heart has 4 children: remote, future, soda, and performance. connector has no children. sparkle has no grandchildren. temple has no children. zucchini has no grandchildren but has 4 children: campaign, style, quantum, and experience. processor has no grandchildren. watch has no grandchildren. fish has no children. giraffe has no grandchildren. silk has 4 children: empowerment, statistic, sunglasses, and crab. deploy has no children. poem has no grandchildren. sculpture has no grandchildren. fox has no children. shirt has no children. field has no grandchildren but has 5 children: couch, sponge, disk, toy, and skateboard. exhibition has no grandchildren but has 2 children: elephant and dress. movement has no grandchildren. money has 4 children: turkey, monkey, zebra, and blog. content has no grandchildren. index has no children. statistic has no grandchildren. strength has no children. clock has no grandchildren but has 3 children: idea, internet, and hate. wire has no children. steak has no grandchildren. glasses has no children. classification has no grandchildren. future has 5 children: task, bean, concert, feeling, and history. hashtag has no grandchildren but has 5 children: phase, morality, digital, controller, and message. pen has no children. current has 3 children: parameter, package, and vector. chat has no children. comb has no grandchildren. monkey has no grandchildren. client has no children. dustpan has no grandchildren. headphones has no grandchildren but has 4 children: inductor, image, switch, and belt. beauty has no grandchildren. helicopter has 3 children: advertisement, medal, and workflow. carrot has no grandchildren. yarn has no grandchildren. guideline has no grandchildren but has 5 children: toe, lace, sound, brick, and blanket. tissue has 12 grandchildren: regulation, rug, radio, and bird (whose parent is store), biology, creativity, appliance, and cable (whose parent is guitar), and plant, email, scissors, and clock (whose parent is strategy). shade has no grandchildren. seed has no grandchildren but has 3 children: mosquito, tool, and norm. sequin has no grandchildren but has 5 children: sword, tongue, frog, park, and search. story has no children. header has no grandchildren. bead has no grandchildren. rope has no children. feeling has no grandchildren. literature has no children. waterfall has no children. light has no children. broccoli has no children. sheep has no children. sugar has no grandchildren but has 3 children: photo, treasure, and soup. failure has no children. sustainability has no grandchildren. valley has no grandchildren. convention has no children. contrast has no grandchildren. juice has no grandchildren. apple has 4 children: literature, light, health, and domain. presentation has no grandchildren. stamp has no grandchildren. spreadsheet has 5 children: exhibition, printer, drum, lesson, and social. actuator has no grandchildren. ear has no children. leaf has no children. tradition has no grandchildren. clothing has no grandchildren. yogurt has 4 children: resistance, giraffe, orange, and poem. capacitor has no grandchildren but has 2 children: slider and signal. ethics has no children. growth has no grandchildren. meaning has no children. jewel has no grandchildren. workflow has 3 children: silk, washer, and environment. volume has no children. tunnel has no grandchildren but has 3 children: can, painting, and cardboard. laugh has no children. cucumber has no children. venture has 5 children: tissue, scroll, film, hat, and fries. drink has no children. portrait has no children. history has no grandchildren. rug has 5 children: browser, deploy, file, shadow, and size. sensor has no children. turkey has no children. film has 8 grandchildren: field, finger, and progress (whose parent is augmented) and projector, audio, disadvantage, date, and fabric (whose parent is violin). firewall has no children. sadness has 3 children: broom, fly, and lime. hammer has no grandchildren but has 3 children: pie, article, and gem. bulb has 3 children: cucumber, sociology, and challenge. poster has no children. inspiration has 5 children: improvement, raccoon, pasta, website, and sustainability. hue has no grandchildren but has 5 children: bridge, music, pearl, addon, and page. pill has 3 children: village, goal, and temple. regulation has 5 children: road, psychology, juice, icon, and nose. management has no children. keyboard has no grandchildren. cry has no grandchildren but has 3 children: cabbage, purpose, and input. crab has no children. bottle has 5 children: building, framework, friend, paper, and marker. interface has no grandchildren but has 4 children: plum, archive, equality, and tea. cherry has no children. task has no children. zipper has no grandchildren but has 4 children: doll, table, saw, and radish. arrow has no grandchildren. bus has no grandchildren but has 3 children: debugger, cake, and salad. vector has no children. tiger has no grandchildren but has 2 children: fence and system. impact has 9 grandchildren: soap, squash, socks, bear, and vehicle (whose parent is door) and method, truth, compass, and helmet (whose parent is grape). algorithm has no children. form has two children; adapter and drink. train has no grandchildren. shortcut has two children; corporation and connector. bread has no grandchildren. procedure has no children. projector has 5 children: glue, photograph, enterprise, branch, and bed. method has no children. fabric has 4 children: illusion, fig, trophy, and garden. enterprise has no children. badge has 3 children: bracelet, drawing, and lemon. simplicity has no grandchildren. pasta has no children. beer has no grandchildren. chocolate has no children. leather has no grandchildren. machine has no grandchildren. butterfly has 3 children: transition, event, and fur. love has no children. petal has no children. milk has no children. weight has two children; procedure and dustpan. sociology has no grandchildren. brain has no grandchildren. hat has 10 grandchildren: apple, function, and seed (whose parent is report), asparagus and song (whose parent is glass), and pot, form, tape, festival, and current (whose parent is justice). cloud has no grandchildren. follower has no children. scarf has 14 grandchildren: philosophy, cricket, ethics, house, and leaf (whose parent is hair), horse and bone (whose parent is community), arrow and shade (whose parent is standard), and button, machine, ball, support, and contrast (whose parent is dream). flower has no grandchildren but has 5 children: shrimp, gateway, root, sun, and responsibility. email has no grandchildren but has 2 children: commit and astronomy. scroll has 3 children: spreadsheet, lettuce, and scarf. burger has no grandchildren. bracelet has two children; observation and laugh. plant has no grandchildren but has 3 children: goodness, society, and circuit. file has no grandchildren. pattern has no children. camera has no grandchildren but has 5 children: beak, tooth, symmetry, skin, and router. menu has no children. house has no children. spoon has no children. button has no grandchildren. checkbox has no grandchildren. pumpkin has no grandchildren. pot has 3 children: index, skirt, and sparkle. vehicle has no children. trashcan has no grandchildren but has 5 children: virtual, joy, cup, diode, and principle. density has 4 children: watch, initiative, holiday, and nail. resilience has 4 children: hope, earrings, pattern, and proportion. social has 5 children: process, snail, screwdriver, lobster, and shape. desk has 4 children: petal, value, portrait, and church. beaver has no grandchildren. medicine has no children. sales has no grandchildren but has 4 children: pliers, moon, window, and culture. clipboard has no children. bowl has no children. adapter has no grandchildren. ticket has 3 children: sculpture, cookie, and flag. hill has 6 grandchildren: avocado and thorn (whose parent is peach) and ceiling, decoration, memory, and valley (whose parent is physics). church has no grandchildren. appliance has 3 children: shirt, tree, and cherry. plugin has no grandchildren. account has no children. pepper has no children. amplitude has no grandchildren but has 4 children: snow, shine, cow, and pan. output has no grandchildren but has 5 children: mouse, city, peace, toothbrush, and stem. container has no children. status has no grandchildren. rat has no children. ceiling has no grandchildren. rain has no grandchildren. theory has no grandchildren. song has no grandchildren but has 5 children: ladybug, trumpet, probability, lizard, and prompt. process has no children. stone has no children. folder has no grandchildren but has 4 children: rabbit, beard, console, and planet. variety has no grandchildren. business has no children. present has no grandchildren. merge has no children. ball has no children. storage has 5 children: business, laptop, mathematics, account, and emphasis. key has no grandchildren. road has no children. hope has no children. onion has no grandchildren. progress has 5 children: wool, transaction, clothing, story, and love. photograph has no grandchildren. repository has no grandchildren. pencil has no grandchildren but has 5 children: software, platform, optimization, notebook, and coconut. curtain has no grandchildren. diary has no grandchildren. blood has 3 children: interface, diversity, and zipper. topic has 3 children: tunnel, hue, and squirrel. lake has no grandchildren. thread has no children. airplane has no grandchildren. package has no children. linguistics has no grandchildren but has 3 children: box, wallet, and lock. squirrel has no grandchildren but has 3 children: terminal, strawberry, and ornament. friend has no grandchildren. lobster has no children. holiday has no grandchildren. museum has 4 children: yogurt, seminar, output, and bag. bone has no children. duck has no children. wine has 4 children: scale, forecast, spider, and tear. dryer has no grandchildren but has 4 children: ecosystem, beach, pineapple, and depth. narrative has no children. fries has 5 children: hill, shoes, butterfly, recommendation, and museum. structure has no children. happiness has 5 children: stove, heuristic, train, header, and merge. spider has no grandchildren. chicken has 5 children: management, silence, coffee, stone, and influence. bag has no grandchildren but has 4 children: widget, profile, harmony, and power. template has no grandchildren. lesson has 5 children: spoon, roof, kiwi, egg, and container. compass has no grandchildren. suitcase has no children. island has no children. cassette has no grandchildren. psychology has no grandchildren. galaxy has no grandchildren. hand has no grandchildren. relationship has no grandchildren. editor has two children; capacitor and storage. sandwich has no grandchildren. metal has no children. wave has no children. tree has no grandchildren. event has two children; theme and hand. school has no grandchildren. raccoon has no children. emotion has no children. bean has no grandchildren. muscle has 3 children: purse, design, and classification. constant has no grandchildren but has 5 children: towel, custom, speaker, connection, and anchor. concept has two children; milk and foot. activation has no children. helmet has no children. device has two children; galaxy and motivation. program has no grandchildren but has 2 children: town and oven. paper has no children. microphone has no children. memory has no grandchildren. chemistry has no grandchildren. smile has 4 children: tradition, cereal, sandwich, and anger. bed has no grandchildren. goal has no children. village has no children. marker has no children. framework has no grandchildren. washer has two children; toothpaste and garlic. bike has no children. library has no grandchildren. decoration has no children. card has no grandchildren. elegance has 3 children: guideline, mustache, and happiness. screw has no grandchildren but has 3 children: farm, landscape, and sky. mustache has no grandchildren but has 3 children: workshop, label, and rock. computer has 4 children: letter, clipboard, shell, and model. webpage has no children. drum has no grandchildren but has 4 children: umbrella, star, jar, and trend. plate has no children. medal has no children. performance has no grandchildren but has 4 children: news, bow, charger, and partnership. branch has no children. development has 19 grandchildren: cassette, engineering, and razor (whose parent is conditioner), comb, art, needle, and accountability (whose parent is wall), leather, pepper, chocolate, and emotion (whose parent is game), plugin, motorcycle, metal, solution, and legacy (whose parent is distribution), and volume, organization, and sensor (whose parent is puzzle). egg has no children. code has no children. ritual has no grandchildren. mathematics has no grandchildren. illusion has no children. zebra has no grandchildren. motivation has no children. disadvantage has two children; reflection and algorithm. forecast has no children. class has two children; wave and poster. size has no children. scale has no children. analysis has 8 grandchildren: elegance and matrix (whose parent is balloon), editor, fear, heart, and voltage (whose parent is mosque), and lion and pear (whose parent is rice). shape has no grandchildren. biology has no grandchildren but has 3 children: forest, drums, and ocean. snail has no children. smoke has no children. empowerment has no children. tactic has 3 children: popup, plate, and chat. cookie has no grandchildren. kiwi has no grandchildren. wolf has no children. cereal has no grandchildren. concert has no grandchildren. screen has no grandchildren but has 3 children: tablet, regression, and mouth. server has no grandchildren but has 4 children: simulation, cat, innovation, and keys. battery has no children. domain has no children. wool has no children. squash has no children. transition has 3 children: code, risk, and rain. socket has no grandchildren. pipeline has no children. network has 4 children: presentation, wolf, theory, and activation. skirt has no children. fear has 8 grandchildren: medicine, thread, and beer (whose parent is economics), resistor, keyboard, and bucket (whose parent is measurement), and simplicity and documentary (whose parent is rubber). ice has no children. corn has no grandchildren. reflection has no children. cave has no grandchildren but has 3 children: map, frame, and texture. sofa has no grandchildren. pizza has 4 children: follower, key, client, and strength. movie has no grandchildren. bucket has no grandchildren. philosophy has no children. fur has 5 children: shovel, bead, battery, username, and firewall. wisdom has no children. improvement has no children. engineering has no grandchildren. shadow has no children. sunglasses has no children. value has no grandchildren. design has no children. clip has 16 grandchildren: muscle, constant, snake, bottle, and sugar (whose parent is education), hashtag, artifact, camera, and tiger (whose parent is alert), record and smile (whose parent is cache), and chicken, engine, pizza, pencil, and zucchini (whose parent is drill). toothpaste has no grandchildren. resistor has no grandchildren. truth has no children. tape has 4 children: beauty, onion, paint, and present. boat has no children. chair has 8 grandchildren: topic, blood, and font (whose parent is advantage), badge, impact, and ribbon (whose parent is gloves), and development and variable (whose parent is bandage). roof has no children. flag has no children. bear has no grandchildren. pea has no grandchildren. popup has no children. statue has no grandchildren but has 2 children: floor and change. lion has 3 children: rhythm, desk, and castle. purse has no grandchildren. lemon has no grandchildren but has 5 children: chain, sand, dishwasher, kite, and calendar. lime has no children. screwdriver has no children. geology has 5 children: bowl, sofa, boat, checkbox, and carrot. initiative has no children. What is the cousin of the dustpan? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:057", "request": "You have been given a tree structure with 151 nodes. weakness, community, and fish are siblings. enterprise has no children. tree has no children. diary has no children. goodness has 3 children: architecture, feather, and website. galaxy has no grandchildren. wind has no children. file has no grandchildren. distribution has no children. metal has no grandchildren but has 3 children: trophy, drums, and television. chemistry has 11 grandchildren: distribution and connector (whose parent is hospital), town, park, zipper, fig, and justice (whose parent is glass), and harmony, coconut, corporation, and candle (whose parent is economics). lecture has no grandchildren. experience has 3 children: program, astronomy, and church. cotton has no children. forum has no children. drive has no grandchildren. harmony has no children. helmet has 9 grandchildren: cake, wind, unity, sequin, and bean (whose parent is innovation) and leather, love, philosophy, and policy (whose parent is impact). zipper has no children. phone has no grandchildren. cucumber has no children. broom has two children; remote and file. town has no grandchildren. function has 4 children: enterprise, lecture, jewel, and texture. pumpkin has no children. bean has no grandchildren. leather has no grandchildren. coconut has no children. social has no grandchildren. block has no grandchildren. notification has no grandchildren. love has no children. remote has no grandchildren. experiment has no grandchildren. ecosystem has no children. plate has no grandchildren but has 4 children: business, silence, kite, and teamwork. cardboard has no grandchildren but has 5 children: activation, calendar, hammer, bow, and creativity. conference has two children; mouth and performance. texture has no grandchildren. shine has 3 children: story, glasses, and username. program has no children. event has no grandchildren. policy has no grandchildren. frequency has no grandchildren. goal has 3 children: experiment, observation, and forum. performance has no children. website has no grandchildren. clipboard has 5 children: container, tool, social, ecosystem, and notification. community has 5 children: helmet, threat, pixel, tablet, and chemistry. responsibility has no children. scroll has 3 children: drive, galaxy, and module. architecture has no children. story has no children. mosque has no grandchildren. tablet has 11 grandchildren: beauty and block (whose parent is projector), frequency and cucumber (whose parent is contrast), mosque and tree (whose parent is washer), and pumpkin, sea, partnership, console, and structure (whose parent is memory). feather has no children. ocean has no grandchildren. train has no grandchildren. threat has 6 grandchildren: wood, lizard, and root (whose parent is internet) and train, branch, and amplitude (whose parent is medicine). mouth has no children. partnership has no grandchildren. sea has no children. output has no grandchildren but has 4 children: squash, drill, brain, and camera. corporation has no children. analog has two children; anger and output. meeting has no grandchildren but has 4 children: history, sadness, beer, and development. connector has no children. elegance has no children. challenge has no children. justice has no grandchildren. tool has no children. park has no grandchildren. jewel has no children. fish has two children; horse and analog. lizard has no children. structure has no grandchildren. cake has no grandchildren. equality has no children. amplitude has no children. anger has 4 children: simplicity, elegance, responsibility, and event. management has two children; effort and equality. horse has 4 children: broom, metal, conference, and shine. unity has no grandchildren. volume has no children. effort has no children. fig has no children. fork has no children. church has no grandchildren. module has no grandchildren. astronomy has no children. console has no children. simplicity has no children. weakness has 14 grandchildren: diary and efficiency (whose parent is index), cardboard and management (whose parent is rock), experience, plate, goal, meeting, and clipboard (whose parent is tower), and function, scroll, goodness, marketing, and city (whose parent is font). container has no grandchildren. beauty has no grandchildren. pixel has 2 grandchildren: volume and piano (whose parent is skateboard) and 1 children: variety. branch has no children. marketing has no grandchildren but has 2 children: machine and peach. wood has no children. root has no children. observation has no children. username has no grandchildren. piano has no children. candle has no children. philosophy has no grandchildren. sequin has no grandchildren. city has 5 children: challenge, fork, cotton, phone, and ocean. efficiency has no grandchildren but has 3 children: building, form, and bike. glasses has no children. What is the cousin of the broom? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:061", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a backpack. Then you move down-right for one step and see a bear. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a flower. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a raspberry. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a brush. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a blueberry. Then you don't move for a while. Then you move down-right for one step and see a grater. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a strawberry. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a snowball. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a fish. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a cucumber. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a doll. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a toy. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a bike. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a spoon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a desk. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a pie. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move left for one step and see a persimmon. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a blackberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a towel. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a laptop. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a shampoo. Then you move down-left for one step and see a paper. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a bed. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a tart. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a mug. Then you move down-right for one step and see a clementine. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a cranberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move right for one step and see a fish. Then you don't move for a while. Then you jump back to the random vertex V and do the following moves: right, down-right, down-right, left, right, right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:064", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a grater. Then you move down-right for one step and see a printer. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a tomato. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a pen. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a peanut. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a bed. Then you move down-right for one step and see a mango. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a strawberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a fig. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a statue. Then you move down-left for one step and see a tart. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a cucumber. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a pie. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a flower. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a mug. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step and see a can. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a lamp. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a car. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a shampoo. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a soap. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a backpack. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step. Then you move up-left for one step and see a lemon. Then you move down-left for one step and see a lychee. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a pencil. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:066", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a plum. Then you move down-left for one step and see a pie. Then you move down-right for one step and see a cake. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a laptop. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a lamp. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a snake. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a pen. Then you don't move for a while. Then you move down-right for one step and see a can. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a car. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step and see a bed. Then you don't move for a while. Then you move down-right for one step and see a tart. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a rug. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a dog. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a watermelon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a basket. Then you move down-left for one step and see a cranberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a blueberry. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a tomato. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a mango. Then you don't move for a while. Then you move down-right for one step and see a television. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step and see a pencil. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then, you jump to a random vertex V where you see a clementine. Then you move up-right for one step and see a grapefrut. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a bear. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a football. Then you move down-left for one step and see a pen. Then you jump back to the random vertex V and do the following moves: down-right, up-left, down-left, up-right, down-right, down-left, down-left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:068", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a knife. Then you move down-left for one step and see a cucumber. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a basket. Then you don't move for a while. Then you move down-left for one step and see a rug. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a clementine. Then you move up-left for one step and see a plum. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a football. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a shampoo. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a tart. Then you don't move for a while. Then you move up-left for one step and see a backpack. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a book. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a walnut. Then you move down-right for one step and see a grapefrut. Then you move down-right for one step and see a television. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a peanut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step and see a mug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a snake. Then you move down-left for one step and see a lemon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a brush. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a fox. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then, you jump to a random vertex V where you see a toy. Then you move up-left for one step and see a statue. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a dog. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a tree. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a kiwi. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a cake. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-left for one step and see a tiger. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a bike. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a dresser. Then you don't move for a while. Then you move down-left for one step and see a printer. Then you move down-left for one step and see a watermelon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a peanut. Then you move down-left for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: up-left, down-left, up-left, up-left, up-left, down-right, down-left, up-left, up-right, up-left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:070", "request": "You have been given a tree structure with 291 nodes. dress, celebration, empowerment, bee, and coconut are siblings. helmet has 5 children: toothbrush, happiness, radio, spoon, and coin. shortcut has no grandchildren. lace has no children. measurement has no grandchildren. city has no children. chat has no children. topic has no children. morality has 3 children: shield, castle, and actuator. bowl has no children. dress has 4 children: chair, digital, kite, and heart. forest has no grandchildren. smoke has no children. balance has 5 children: progress, architecture, transistor, grape, and input. menu has no grandchildren but has 4 children: lettuce, diary, addon, and planet. matrix has no grandchildren but has 3 children: coral, fence, and science. pig has no grandchildren but has 4 children: wind, cotton, sparkle, and rabbit. beak has no children. statue has 4 children: mouth, movie, butter, and fox. trashcan has no children. donut has no children. virtual has no children. impact has no grandchildren. burger has no grandchildren. port has no grandchildren but has 2 children: growth and food. repository has no grandchildren. blueberry has no grandchildren but has 5 children: hammer, lecture, speaker, sketch, and cassette. soup has no grandchildren. cherry has 5 children: accountability, ethics, donut, hand, and notification. workshop has no grandchildren but has 5 children: fur, tensor, management, business, and purpose. screw has 4 children: resistor, drawing, cluster, and content. ethics has no grandchildren. towel has no children. finance has no grandchildren but has 5 children: mango, adapter, volume, plan, and sales. tactic has no children. evaluation has no children. laptop has no children. mirror has no grandchildren. chocolate has 5 children: norm, wall, repository, towel, and form. bandage has no grandchildren. turkey has no grandchildren. tower has two children; cucumber and health. ribbon has no grandchildren but has 3 children: hue, anthropology, and cake. projector has no grandchildren. oven has no children. form has no children. luster has no children. sunglasses has 5 children: experiment, mouse, effectiveness, patch, and communication. exhibition has no grandchildren. package has no children. effectiveness has no children. stapler has no grandchildren. celebration has 4 grandchildren: variable and matrix (whose parent is eye) and menu and sunglasses (whose parent is apple). friend has no grandchildren. theory has no grandchildren but has 3 children: road, circuit, and client. art has no children. skirt has 5 children: vector, topic, astronomy, dropdown, and exhibition. threat has no grandchildren but has 4 children: belt, bus, responsibility, and ear. cricket has no grandchildren. quantum has no grandchildren. development has no grandchildren but has 5 children: car, guideline, change, link, and box. toothbrush has no children. duck has 4 children: sign, bowl, memory, and quantum. dishwasher has 4 children: chocolate, screw, blueberry, and code. pepper has no children. museum has 3 children: smoke, regression, and cat. landscape has no children. cat has no grandchildren. candle has no children. variable has 4 children: blood, luster, suitcase, and trashcan. airplane has no grandchildren. color has no grandchildren. butter has no grandchildren. accountability has no children. wolf has no grandchildren but has 2 children: thought and tradition. resistor has no children. corn has no grandchildren but has 2 children: truck and activation. pumpkin has no children. kiwi has 3 children: tactic, toothpaste, and shortcut. foot has no grandchildren. flower has no children. transistor has no grandchildren. spider has no grandchildren. happiness has no children. mouse has no grandchildren. code has 4 children: framework, candle, root, and disc. money has no grandchildren. regression has no grandchildren. phone has no children. password has no grandchildren but has 5 children: watch, widget, device, school, and badge. crown has 12 grandchildren: diversity and television (whose parent is dirt), hate, laptop, collaboration, soup, and transformation (whose parent is gateway), cup, environment, and heuristic (whose parent is screwdriver), and nose and package (whose parent is texture). procedure has two children; airplane and evaluation. shirt has no children. process has no children. movie has no grandchildren. backpack has no children. template has 3 children: symmetry, bone, and concert. health has no grandchildren. astronomy has no grandchildren. experiment has no grandchildren. onion has 5 children: measurement, pepper, engagement, fabric, and hub. dog has no grandchildren. radio has no grandchildren. toothpaste has no grandchildren. input has no children. heart has 11 grandchildren: virtual, community, process, account, and creativity (whose parent is peace), monkey and dog (whose parent is cable), and money, backpack, foot, and forest (whose parent is elephant). suitcase has no grandchildren. tomato has 5 children: spider, flower, landscape, pumpkin, and impact. fabric has no children. creativity has no children. dustpan has no grandchildren. blood has no grandchildren. kite has 3 children: corn, mathematics, and development. fox has no children. database has 3 children: stapler, wool, and turkey. castle has no children. bone has no grandchildren. sign has no grandchildren. muscle has no children. hand has no grandchildren. dropdown has no grandchildren. disc has no children. strength has no children. communication has no children. ritual has no children. concert has no grandchildren. network has no grandchildren. spoon has no children. hub has no children. dream has no children. memory has no grandchildren. task has no children. hope has 4 children: beak, bandage, milk, and image. coconut has 12 grandchildren: jewel, kiwi, cherry, skirt, and onion (whose parent is pants), pig and password (whose parent is validation), and threat, ribbon, resistance, statue, and procedure (whose parent is folder). notification has no grandchildren. jewel has no grandchildren but has 2 children: result and harmony. milk has no children. engagement has no children. account has no children. patch has no grandchildren. collaboration has no children. support has no grandchildren but has 3 children: steak, beach, and needle. heuristic has no children. wall has no children. transformation has no grandchildren. goose has 3 children: support, balance, and database. blog has no grandchildren but has 4 children: poem, status, neural, and seed. grape has no grandchildren. digital has 4 children: finance, blog, stem, and tomato. jacket has no children. cup has no grandchildren. root has no children. nose has no grandchildren. content has no grandchildren. drawing has no grandchildren. coin has no children. advantage has no grandchildren. tear has no grandchildren. monkey has no grandchildren. park has 17 grandchildren: chat, network, muscle, and lace (whose parent is lake), ritual and dream (whose parent is equipment), cricket, color, city, and dustpan (whose parent is spinach), mirror and projector (whose parent is bird), and burger, phone, strength, advantage, and art (whose parent is marketing). diversity has no children. community has no grandchildren. chair has 4 children: wolf, helmet, template, and morality. psychology has no grandchildren. empowerment has 4 children: crown, park, dishwasher, and goose. video has no grandchildren but has 2 children: block and observation. mathematics has 4 children: scroll, friend, psychology, and metal. progress has no children. standard has no grandchildren but has 2 children: connector and yogurt. shape has 5 children: tear, task, oven, jacket, and shirt. resistance has no grandchildren but has 4 children: linguistics, joy, goat, and message. wool has no grandchildren. architecture has no grandchildren. framework has no grandchildren. cluster has no grandchildren. mouth has no grandchildren. actuator has no grandchildren. shield has no children. vector has no children. television has no grandchildren. symmetry has no grandchildren. metal has no children. cucumber has no children. norm has no children. hate has no grandchildren. environment has no grandchildren. scroll has no grandchildren. stem has no grandchildren but has 5 children: flag, fixture, effort, wave, and glue. bee has 11 grandchildren: profile and workshop (whose parent is keys), video and tower (whose parent is ticket), theory, port, standard, duck, and shape (whose parent is play), and museum and hope (whose parent is headphones). profile has no grandchildren but has 5 children: comb, radish, output, debugger, and eggplant. image has no children. What is the cousin of the thought? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:073", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a pie. Then you move down-right for one step and see a pencil. Then you move down-left for one step and see a brush. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a laptop. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a tomato. Then you move down-left for one step and see a tiger. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a lamp. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a fish. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a tree. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a cake. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a raspberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step and see a desk. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a clementine. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a rug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a potato. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a knife. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a mug. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a cranberry. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a grape. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a snowball. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you don't move for a while. Then you move up-left for one step and see a spoon. Then you move left for one step and see a towel. Then you move down-left for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a kiwi. Then you move right for one step and see a book. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a pen. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a snake. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step. Then you don't move for a while. Then you move down-right for one step and see a fig. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a printer. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step and see a mirror. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a grape. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you jump back to the random vertex V and do the following moves: up-right, left, right, down-left, down-right, down-right, down-left, down-right, left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:077", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a knife. Then you move down-right for one step and see a mug. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a spoon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a book. Then you move down-left for one step and see a grater. Then you move down-right for one step and see a lychee. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a dresser. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a mango. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a shampoo. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a rug. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a statue. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a stone. Then you move down-left for one step and see a grape. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a cat. Then you move up-right for one step and see a fork. Then you move down-right for one step and see a tomato. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a paper. Then you move up-left for one step and see a towel. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a walnut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then, you jump to a random vertex V where you see a bread. Then you move down-left for one step and see a plum. Then you don't move for a while. Then you move down-right for one step and see a bear. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a flower. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a tiger. Then you move up-right for one step and see a printer. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a lemon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a basket. Then you move up-right for one step and see a cake. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a can. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a blueberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tart. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a snowball. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a football. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-right for one step and see a rug. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: down-left, down-right, up-left, down-right, down-right, up-right, down-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:081", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the bottom corner of the grid, where you find a crane (bird). You move up-left by one step, where you find a sulphur butterfly. You move up-left by one step, where you find a cradle. You move up-right by one step, where you find a ram. You move up-right by one step, where you find a crash helmet. You move down-right by one step, where you find a Geoffroy's spider monkey. You move down-right by one step, where you find an African wild dog. You move down-left by one step, where you find a German Shorthaired Pointer. You move down-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:083", "request": "You have been given a circular path consisting of 12 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a Basenji. Moving in a clockwise direction from the Basenji, the elements on the path are a banjo, a Samoyed, an overskirt, a ring binder, a sea cucumber, an Ibizan Hound, a plow, a barbell, a yellow garden spider, a car wheel, and a llama. Starting from the llama, you move around the ring by 12 steps in a clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:084", "request": "You have been given a circular grid consisting of 12 connected dots. Starting from a vertex, you will move along the edges of the circular grid. Initially, you are positioned on the dot that's located at the top of the grid, where you find a pineapple. You move around the ring by 3 steps in a clockwise direction, where you find a piggy bank. You move around the ring by 2 steps in a counter-clockwise direction, where you find a police van. You move around the ring by 2 steps in a counter-clockwise direction, where you find an Afghan Hound. You move around the ring by 7 steps in a clockwise direction, where you find an armadillo. You move around the ring by 11 steps in a clockwise direction, where you find a space bar. You move around the ring by 9 steps in a clockwise direction, where you find an ambulance. You move around the ring by 7 steps in a counter-clockwise direction, where you find a Vizsla. You move around the ring by 10 steps in a clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:086", "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the top corner of the map, where you find a potter's wheel. You move down-right by one step, where you find a sweatshirt. You move down by one step, where you find a toy store. You move down-right by one step, where you find a photocopier. You move down by one step, where you find a stove. You move down-left by one step, where you find a Pomeranian. You move up-left by one step, where you find a radiator. You move up by one step, where you find a moving van. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:088", "request": "You have been given a tree structure with 1008 nodes. switch, capacitor, network, jewel, and eye are siblings. tradition has no children. skateboard has two children; revolution and chip. model has no children. glue has no children. success has no grandchildren but has 4 children: transaction, blanket, notebook, and train. shade has no children. butter has no children. fly has no grandchildren. classification has no grandchildren. meaning has no grandchildren. grape has no grandchildren but has 3 children: resistance, pea, and probability. ice has no children. sheet has 3 children: pen, ceremony, and river. microwave has 4 children: beer, storage, editor, and hashtag. button has no children. cluster has no grandchildren. ecosystem has 11 grandchildren: mosquito, performance, window, and accountability (whose parent is forecast), chemistry, lesson, support, and squirrel (whose parent is sofa), and opportunity, ribbon, and lime (whose parent is holiday). frog has no grandchildren. toe has no children. star has no children. organization has no children. console has no grandchildren but has 2 children: rabbit and wrench. grass has no grandchildren. symmetry has 10 grandchildren: partnership, heart, software, instrument, and freezer (whose parent is ritual) and plane, leather, wood, tool, and ladybug (whose parent is movement). desert has no children. plum has no children. screwdriver has no grandchildren. bulb has no children. color has no grandchildren. standard has no grandchildren. juice has no grandchildren. risk has no grandchildren. capacitor has 5 children: painting, convention, zebra, fixture, and salad. profile has no children. heart has no grandchildren. compass has no children. pan has no children. avatar has 5 children: lock, instance, spectrum, weakness, and bandage. bone has no children. curtain has 5 children: initiative, tablet, kiwi, database, and park. card has two children; mustache and classification. plant has no grandchildren. lace has no grandchildren. augmented has no children. module has no children. reflection has no children. instrument has no grandchildren. belief has no children. bag has no children. pear has 6 grandchildren: color, bead, and ticket (whose parent is clustering) and model, archive, and mosque (whose parent is motivation). raspberry has no grandchildren but has 4 children: leaf, template, dustpan, and glitter. sustainability has no grandchildren. strength has no grandchildren. nail has no children. physics has no children. egg has no children. object has no grandchildren but has 2 children: steak and scroll. structure has 11 grandchildren: steak, cookie, and evolution (whose parent is tower), relic, clock, and battery (whose parent is cheese), and fur, report, sand, fire, and content (whose parent is guitar). portrait has no children. letter has two children; eraser and avatar. beard has no grandchildren. mango has no children. monkey has no children. watch has no children. play has no grandchildren. experience has no children. regulation has no children. cable has no grandchildren. wallet has no children. checkbox has no children. paint has 3 children: plate, emphasis, and thread. theory has no children. presentation has no grandchildren. module has no grandchildren. plastic has no children. suitcase has no children. design has no children. glasses has no grandchildren. current has no grandchildren. instance has no children. fridge has no children. politics has no children. rubber has no grandchildren. bottle has no grandchildren. improvement has no children. fire has no children. foot has no children. chat has 13 grandchildren: meeting, disadvantage, and frame (whose parent is feather), star, camera, improvement, skin, and smile (whose parent is video), frequency, microphone, and lemon (whose parent is blueberry), and bucket and package (whose parent is disc). change has no grandchildren. relationship has no children. partnership has no grandchildren. galaxy has no children. hardware has no children. responsibility has no grandchildren. narrative has no children. scissors has no children. treasure has no grandchildren. squirrel has no children. sandwich has no grandchildren. diode has no grandchildren but has 2 children: soup and plastic. geology has no children. anger has no grandchildren. wall has no children. deer has no grandchildren. ladybug has no children. toothbrush has no grandchildren. cloud has no grandchildren. tone has no children. love has no children. solution has no children. speaker has no grandchildren. crab has no grandchildren. ladder has two children; idea and desert. cricket has no children. mosque has no grandchildren. carrot has no children. purse has no children. shell has no children. ant has 3 children: helicopter, internet, and building. necklace has 3 children: principle, document, and goose. door has no grandchildren. river has no grandchildren. sky has no grandchildren. wool has no children. blood has no children. cookie has no grandchildren. radish has no children. legacy has no grandchildren but has 5 children: risk, stem, trophy, result, and puzzle. sketch has no grandchildren. client has 3 children: pattern, success, and card. freedom has no grandchildren. gate has no grandchildren but has 5 children: saw, flag, knife, block, and sparkle. tomato has no grandchildren. transistor has no children. terminal has no children. beer has no grandchildren. mountain has no children. pants has no grandchildren. clarity has no grandchildren. widget has no children. voltage has 3 children: axe, film, and goat. smoke has no children. principle has two children; kite and truck. environment has no grandchildren. pen has no children. network has 9 grandchildren: server, task, cave, association, and ecosystem (whose parent is crystal) and feeling, procedure, pear, and elegance (whose parent is phase). grass has no children. projector has no children. cheese has no grandchildren. seminar has no grandchildren. amplitude has no grandchildren. hand has no children. can has no children. convention has 3 children: pants, nail, and boat. glass has no grandchildren. resistor has no grandchildren. soap has 16 grandchildren: plant, wool, spreadsheet, hub, and phone (whose parent is milk), banner, cloud, key, and scroll (whose parent is rhythm), mirror, game, fridge, and can (whose parent is norm), and brick, bone, and shell (whose parent is evaluation). thorn has no children. donut has no children. measurement has no grandchildren. pill has 20 grandchildren: address, fries, and illusion (whose parent is hue), plan, pot, finger, and neural (whose parent is class), glass, sunglasses, museum, and protocol (whose parent is piano), muscle, hope, machine, branch, and marker (whose parent is sun), and drum, bean, metal, and sound (whose parent is recommendation). town has no grandchildren. bus has no children. resilience has 4 children: glue, poster, pan, and bird. cherry has no grandchildren. tiger has no children. portrait has no children. freezer has no children. file has no grandchildren. cup has no grandchildren. interface has no children. meeting has no children. observation has no children. documentary has 5 children: texture, laptop, galaxy, drill, and framework. roof has no children. ceiling has no grandchildren. art has no children. bucket has no children. power has no grandchildren. rice has no grandchildren. ticket has no children. yarn has no children. machine has no grandchildren. texture has no children. evolution has no grandchildren. sponge has no children. goal has no grandchildren. storage has no children. crown has no grandchildren but has 2 children: diversity and decoration. workshop has no grandchildren. pepper has no grandchildren. helicopter has no grandchildren but has 2 children: header and bracelet. cloth has no grandchildren. lake has no grandchildren. frequency has no grandchildren. sales has no grandchildren. pixel has no grandchildren. association has 3 children: search, desk, and forest. philosophy has no grandchildren. leadership has no children. bird has no grandchildren. smile has no children. gathering has no children. advertisement has no children. simulation has no children. sadness has no children. lock has no grandchildren. transformation has no grandchildren. wave has no children. wine has no grandchildren. clothing has no children. inspiration has two children; experiment and microwave. food has no grandchildren. domain has 20 grandchildren: beach, experience, terminal, turkey, and innovation (whose parent is mouth), badge, environment, policy, cake, and avocado (whose parent is purpose), toolbar, cluster, clothing, field, and sensor (whose parent is gradient), skateboard, value, and fish (whose parent is drums), and reflection and circuit (whose parent is merge). laugh has no children. painting has 4 children: pill, menu, symmetry, and letter. fixture has no children. application has no grandchildren. cave has 21 grandchildren: island, photograph, worm, and mango (whose parent is scooter), transformation, mushroom, dryer, and pasta (whose parent is communication), slider, lace, icecream, and profile (whose parent is moon), mathematics, engineering, music, and website (whose parent is shield), and purse, kangaroo, effectiveness, quantum, and floor (whose parent is conference). piano has no children. poem has no grandchildren. input has two children; hill and responsibility. rat has no grandchildren. article has no grandchildren. port has no grandchildren. password has no grandchildren. content has no grandchildren. farm has no grandchildren. bucket has no grandchildren. axe has no grandchildren but has 2 children: company and medal. corporation has two children; foot and chair. density has no grandchildren. flower has 4 children: beaver, soda, earth, and cursor. pot has no children. museum has no grandchildren. platform has no grandchildren. website has no grandchildren. engineering has no children. wolf has no grandchildren. processor has no children. forum has no grandchildren. coffee has no grandchildren but has 4 children: potato, interaction, management, and silk. framework has no children. fries has no grandchildren. eye has 3 children: folder, paper, and tab. weakness has no children. transition has no grandchildren. elephant has no grandchildren. drink has no grandchildren. cardboard has no grandchildren but has 5 children: analog, emotion, knife, narrative, and theme. gloves has no children. optimization has no grandchildren. banana has two children; projector and spoon. cursor has no grandchildren. task has 7 grandchildren: power and stove (whose parent is empowerment), rug, tomato, and meaning (whose parent is horse), and rope and pillow (whose parent is stone). forest has no grandchildren but has 3 children: cassette, tactic, and stamp. helmet has no children. needle has 3 children: scissors, cable, and process. paper has 5 children: drawing, client, domain, cow, and zucchini. software has no grandchildren. peace has 5 children: augmented, glasses, narrative, commit, and tradition. problem has no children. efficiency has no grandchildren but has 5 children: creativity, bow, variety, follower, and city. result has no grandchildren but has 4 children: adapter, threat, clarity, and resistance. stage has no grandchildren. badge has no children. store has no children. toothpaste has no grandchildren. psychology has no grandchildren. ethics has no grandchildren. jar has no grandchildren. account has no grandchildren. clipboard has 3 children: fox, artifact, and processor. stove has no children. scale has no children. tool has no children. unity has no children. truck has no children. drums has no grandchildren but has 3 children: relationship, chicken, and saw. chip has no children. coral has no children. cluster has no grandchildren. laptop has no grandchildren. towel has 23 grandchildren: broom, mountain, media, inductor, and church (whose parent is pliers), cricket, bowl, and challenge (whose parent is development), presentation, connector, store, roof, and sadness (whose parent is education), contrast, snow, regulation, hardware, and elephant (whose parent is alert), and shortcut, scale, widget, economics, and bus (whose parent is cabbage). ruler has 3 children: business, sign, and gate. house has no grandchildren. fish has no children. spinach has no children. seed has 4 children: thorn, teamwork, bag, and wing. bowl has no children. fear has no grandchildren. growth has no grandchildren. correlation has no grandchildren. tape has no children. peach has no children. church has no children. file has no grandchildren. goat has no grandchildren but has 3 children: drive, bear, and distribution. keys has no grandchildren. pearl has no grandchildren. slider has no grandchildren. shampoo has no grandchildren but has 5 children: tongue, statue, screen, trashcan, and compiler. pie has no grandchildren. hashtag has no grandchildren. potato has 5 children: suitcase, sandwich, duck, observation, and piano. card has no children. tint has no children. car has no grandchildren but has 2 children: matrix and advantage. mathematics has no children. razor has no children. celebration has no children. package has no children. toolbar has no children. illusion has no grandchildren. socks has no children. hate has 7 grandchildren: blood, footer, gathering, function, and watch (whose parent is dream) and compass and carrot (whose parent is weight). wire has no grandchildren. motorcycle has no grandchildren. pants has 16 grandchildren: solution, belief, and theory (whose parent is donut), glitter, disc, and fixture (whose parent is fabric), blood, proportion, mustache, and depth (whose parent is header), notification, card, ball, and density (whose parent is slider), and motivation and cheese (whose parent is egg). editor has no children. bed has no children. balloon has no grandchildren but has 4 children: kangaroo, skin, asparagus, and transition. burger has no children. tablet has no children. sandwich has no grandchildren. hill has no grandchildren. dress has no children. engineering has no children. cotton has two children; coin and plum. font has no grandchildren but has 5 children: audio, actuator, root, landscape, and joy. park has no children. vehicle has two children; banana and nose. proportion has no grandchildren. fur has no grandchildren. chemistry has no grandchildren. slug has no children. code has 4 children: computer, goal, pepper, and pin. muscle has no children. zebra has 7 grandchildren: belt and dust (whose parent is medicine), squash and resource (whose parent is money), and car, statistic, and sheet (whose parent is technology). wing has no children. energy has no grandchildren. pencil has no children. exhibition has no grandchildren. earrings has 3 children: emotion, disk, and present. strawberry has 12 grandchildren: validation and sales (whose parent is dance), wine and password (whose parent is tooth), connection, bike, growth, and transition (whose parent is bread), and freedom, brain, butterfly, and monkey (whose parent is goodness). chain has 21 grandchildren: sustainability, object, hair, label, and status (whose parent is container), event, port, rice, slug, and exhibition (whose parent is page), shovel, repository, sponge, equipment, and analysis (whose parent is layer), truth and anger (whose parent is tear), and eggplant, tint, tape, and fear (whose parent is shelter). village has no children. topic has no grandchildren. eggplant has no children. earth has no grandchildren. frame has no children. output has no children. cassette has no children. lime has no children. leather has no children. pin has no children. emotion has no children. cake has no grandchildren. key has no grandchildren. lemon has no grandchildren. objective has no grandchildren. library has no grandchildren. radish has no grandchildren. morality has no grandchildren. process has no grandchildren. bee has no grandchildren. conditioner has no children. beaver has no grandchildren. duck has no children. artifact has no grandchildren. spectrum has no children. cry has no grandchildren. wood has no children. vector has no grandchildren but has 4 children: lobster, asparagus, diary, and biology. blueberry has no grandchildren but has 3 children: glasses, mouth, and empowerment. claw has no grandchildren. worm has no grandchildren. map has no children. boat has no children. accessory has no grandchildren. bean has no children. firewall has no grandchildren. sensor has no children. couch has 5 grandchildren: community, forum, and tree (whose parent is router) and play and speaker (whose parent is snail). event has no children. snow has no grandchildren. hammer has no grandchildren. backpack has no grandchildren but has 5 children: influence, cardboard, shrimp, method, and volume. size has no grandchildren. photo has no children. avocado has no grandchildren. battery has no children. planet has no children. nest has two children; airplane and measurement. butterfly has no children. jewel has two children; umbrella and concert. account has two children; transistor and correlation. density has no grandchildren. notification has no children. universe has 3 children: leadership, chocolate, and sandwich. beak has no children. mouse has no children. garlic has no children. support has no children. conference has no grandchildren. photograph has no children. notification has no children. suitcase has no children. challenge has no children. lettuce has no children. drink has no grandchildren but has 2 children: lace and hashtag. lamp has no children. plant has no grandchildren. neural has no grandchildren. dog has no grandchildren. relic has no children. shape has no grandchildren. shortcut has no children. chocolate has no children. conclusion has no grandchildren. box has no grandchildren. sword has no grandchildren. tab has two children; structure and voltage. brick has no grandchildren. television has no children. brush has no grandchildren. fish has no children. rocket has no children. coin has no grandchildren. ladder has no grandchildren. soup has no grandchildren. history has no children. goose has no grandchildren but has 4 children: movie, festival, wind, and cat. brain has no grandchildren. trumpet has no grandchildren. mop has two children; screwdriver and shade. castle has no children. sequin has no children. law has no grandchildren but has 4 children: celery, corn, light, and remote. dust has no grandchildren but has 4 children: sugar, prediction, apple, and arrow. solution has no grandchildren. revolution has no grandchildren. value has no children. theme has no grandchildren. constant has no grandchildren. mirror has no children. proportion has no grandchildren but has 5 children: activation, enterprise, hat, mug, and index. radio has no children. sound has no children. finance has no children. theory has no children. dryer has no children. wisdom has no grandchildren but has 5 children: clock, linguistics, equality, map, and tab. architecture has 3 children: hand, planet, and plastic. ribbon has no children. comb has no grandchildren. mustache has no children. hope has no grandchildren. table has 9 grandchildren: theory, rock, beard, and fig (whose parent is system) and image, design, transistor, grass, and brush (whose parent is chicken). scroll has no grandchildren. link has no grandchildren. analog has 5 children: library, checkbox, wall, objective, and diode. innovation has no children. floor has no children. rock has no grandchildren. device has no children. icecream has no children. linguistics has no grandchildren. belt has 4 children: stage, tea, beak, and peach. calendar has no children. pattern has two children; algorithm and psychology. headphones has no grandchildren. quantum has no grandchildren. politics has no grandchildren. globe has no grandchildren but has 5 children: giraffe, school, record, oven, and dirt. kangaroo has no children. anthropology has 5 children: lizard, jacket, cry, notification, and size. airplane has no grandchildren. policy has no grandchildren. film has no grandchildren but has 4 children: luster, failure, adapter, and project. circuit has no children. spider has no grandchildren. cucumber has no children. skirt has no grandchildren. commit has no grandchildren. plan has no children. diode has no children. disadvantage has no children. finger has no grandchildren. glitter has no grandchildren. camera has no children. melon has no grandchildren. chair has no children. drum has no children. balance has no children. socket has no grandchildren but has 3 children: form, science, and petal. lizard has no children. validation has no grandchildren. temple has no grandchildren. skin has no grandchildren. silence has no grandchildren. business has no grandchildren but has 4 children: shine, orange, melon, and style. thread has no children. simplicity has no children. function has no children. bandage has no grandchildren. chip has no grandchildren. justice has no grandchildren. poster has no children. building has no grandchildren. present has no grandchildren. heart has no grandchildren but has 5 children: hair, patch, page, butter, and sound. computer has no children. hospital has no grandchildren but has 2 children: appliance and custom. tissue has 14 grandchildren: salt, bottle, and amplitude (whose parent is stapler), topic, wave, temple, energy, and guideline (whose parent is correlation), suitcase and pencil (whose parent is pineapple), and chip, yarn, treasure, and dropdown (whose parent is fence). email has no grandchildren. broccoli has no grandchildren. connector has no grandchildren. microphone has no children. doll has no grandchildren but has 3 children: icon, query, and duck. nose has 4 children: butter, collaboration, politics, and trumpet. elegance has 14 grandchildren: bed, popup, and fly (whose parent is tensor), bulb, ethics, air, frog, and headphones (whose parent is salad), finance, beauty, and literature (whose parent is threat), and file, razor, and calendar (whose parent is browser). debugger has no children. rain has no grandchildren. equipment has no children. branch has no grandchildren. algorithm has no children. analysis has no children. happiness has no grandchildren. concert has 4 children: couch, cucumber, trend, and marketing. statistic has 4 children: application, village, helmet, and happiness. resource has two children; art and town. media has no children. fox has no children. fork has 4 children: device, ornament, dishwasher, and map. digital has no children. vacuum has 13 grandchildren: workshop and output (whose parent is screw), cup and rat (whose parent is ear), change, tone, and heuristic (whose parent is pipeline), photo and virtual (whose parent is pig), and convention, claw, coral, and cloth (whose parent is shoes). memory has no grandchildren. contrast has no grandchildren. protocol has no children. connection has no grandchildren. prompt has no grandchildren. broom has no children. archive has no grandchildren. culture has 3 children: tiger, television, and crab. collaboration has no grandchildren. ball has no children. fixture has 14 grandchildren: account, drink, and resistor (whose parent is shelter), movie, skateboard, diode, and drums (whose parent is philosophy), nest and analog (whose parent is tunnel), and crown, mop, input, heart, and curtain (whose parent is raccoon). nail has 15 grandchildren: tape and politics (whose parent is equipment), engineering, city, toothpaste, risk, and wing (whose parent is film), marker, bucket, and file (whose parent is advantage), and melon, plant, fish, scissors, and cassette (whose parent is connector). umbrella has 5 children: towel, table, chat, coconut, and depth. report has no children. mop has no grandchildren but has 3 children: waterfall, love, and toy. game has no grandchildren. cake has no grandchildren. steak has no children. music has no grandchildren. search has no children. marker has no children. hair has no grandchildren. salt has no children. blood has no children. cache has no children. effort has 5 children: density, valley, rocket, portrait, and pearl. kiwi has no children. disc has no children. squash has 5 children: sea, cherry, castle, simplicity, and burger. gem has 4 children: paint, corporation, architecture, and fork. truth has no grandchildren. procedure has 17 grandchildren: keys, interface, and optimization (whose parent is username), wolf, box, juice, deer, and prompt (whose parent is water), wire, skirt, clip, standard, and revolution (whose parent is candy), and mouse, account, socks, and ocean (whose parent is service). switch has 14 grandchildren: ruler, ant, strawberry, and hate (whose parent is harmony), tissue and vacuum (whose parent is laugh), vehicle, inspiration, and engine (whose parent is book), and gem, chain, soap, necklace, and social (whose parent is road). energy has no children. phone has no children. clip has no children. observation has no grandchildren. community has no grandchildren. city has no grandchildren. marketing has 4 children: shampoo, documentary, vector, and universe. plugin has no children. inductor has no grandchildren. dishwasher has no grandchildren. mustache has no grandchildren. controller has 4 children: digital, bee, justice, and garlic. accountability has no grandchildren. emphasis has no grandchildren. gateway has no grandchildren. rope has no grandchildren. social has two children; waterfall and jar. belief has no grandchildren. tear has no children. motivation has no grandchildren. pillow has no grandchildren. ocean has no children. tea has no children. tape has no grandchildren. status has no grandchildren. economics has no children. turkey has no children. spoon has no grandchildren. desk has 5 children: food, nail, anchor, resistor, and equality. boat has 17 grandchildren: conference and system (whose parent is communication), energy, portrait, and cake (whose parent is message), tear, cluster, website, and module (whose parent is box), grass, radish, and sky (whose parent is coffee), and cucumber, corn, ladder, mouse, and ritual (whose parent is road). sea has no grandchildren. digital has no grandchildren. mosquito has no children. convention has no grandchildren. mouse has no grandchildren. yogurt has no grandchildren but has 5 children: bridge, concept, regression, passion, and strategy. virtual has no grandchildren. effectiveness has no children. opportunity has no grandchildren. snake has no children. washer has no grandchildren. image has no grandchildren. feeling has 5 children: society, shadow, console, socket, and code. fig has no children. resistor has no grandchildren but has 5 children: star, instance, concert, money, and deer. bike has no children. scarf has no grandchildren. bead has no grandchildren. ornament has no children. island has no grandchildren. plate has no children. prompt has no children. depth has no grandchildren. mushroom has no grandchildren. coconut has 3 children: law, effort, and efficiency. blog has no grandchildren. activity has no grandchildren. skateboard has no children. sunglasses has no children. menu has 4 children: deploy, resilience, seed, and clipboard. movie has no grandchildren but has 2 children: ant and microphone. toothpaste has no children. deploy has 5 children: activity, smoke, turtle, toothpaste, and unity. wing has no children. lesson has no children. furniture has no children. trend has 5 children: doll, backpack, controller, lion, and globe. anchor has no children. field has no grandchildren. initiative has no children. spreadsheet has no children. scissors has no children. engine has 5 children: yogurt, flower, hospital, garden, and mop. story has no grandchildren. database has no grandchildren. air has no children. window has no children. salad has 8 grandchildren: shirt, cardboard, object, blueberry, and wisdom (whose parent is rabbit) and result, potato, and balloon (whose parent is elegance). revolution has no children. pasta has no children. experiment has 5 children: belief, conclusion, poem, sketch, and pie. teamwork has no grandchildren. metal has no grandchildren. clock has no children. valley has no children. date has no grandchildren. shirt has 4 children: digital, prompt, laugh, and mosque. equality has no grandchildren. folder has 9 grandchildren: peace, raspberry, earrings, proportion, and font (whose parent is impact) and anthropology, needle, grape, and culture (whose parent is health). drill has no children. system has no grandchildren. lecture has no grandchildren. kite has no children. soda has no grandchildren. lion has 3 children: spider, boat, and conditioner. sign has no grandchildren but has 5 children: pizza, printer, future, venture, and cereal. drawing has 14 grandchildren: dress, balance, constant, drink, and snake (whose parent is campaign), message, lamp, and lake (whose parent is news), rain, violin, ceiling, and furniture (whose parent is sociology), and accessory and pants (whose parent is coat). literature has no grandchildren. rug has no grandchildren. idea has no grandchildren. garden has 3 children: button, dog, and toothbrush. tree has no grandchildren. society has two children; washer and patch. ritual has no children. label has no grandchildren. server has 16 grandchildren: history and hammer (whose parent is keyboard), gateway, article, advertisement, sequin, and soup (whose parent is candle), ice and email (whose parent is progress), sword, toe, memory, comb, and shape (whose parent is parameter), and spinach and egg (whose parent is engagement). ceremony has no children. corn has no grandchildren. turtle has no children. popup has no grandchildren. shadow has 5 children: organization, wallet, house, firewall, and link. mosque has no grandchildren. heuristic has no grandchildren. depth has 3 children: ladder, legacy, and coffee. transistor has no grandchildren. performance has no children. waterfall has 3 children: theme, solution, and addon. address has no children. zucchini has two children; cotton and onion. violin has no grandchildren. website has no children. sand has no grandchildren. plane has no children. repository has no grandchildren. marker has no grandchildren. message has no children. webpage has no grandchildren. banner has no grandchildren. jacket has no children. onion has no grandchildren but has 4 children: variable, toy, sky, and signal. hub has no children. addon has no children. disk has no children. beach has no children. guideline has no children. beauty has no grandchildren. cucumber has 16 grandchildren: philosophy, radish, and farm (whose parent is pumpkin), donut, silence, clarity, and door (whose parent is charger), module and workflow (whose parent is fabric), morality and current (whose parent is thought), and observation, geology, webpage, physics, and story (whose parent is sheep). eraser has 5 children: date, linguistics, lettuce, broccoli, and pixel. dropdown has no children. cow has 18 grandchildren: radio, strength, problem, and celebration (whose parent is balloon), seminar, lecture, relationship, and blog (whose parent is ball), gloves, love, plugin, motorcycle, and scarf (whose parent is wisdom), and cache, simulation, rubber, platform, and debugger (whose parent is shirt). internet has no grandchildren but has 3 children: ring, program, and zipper. document has no grandchildren but has 3 children: sculpture, song, and friend. shovel has no grandchildren. workflow has no grandchildren. footer has no children. object has no grandchildren. patch has no grandchildren. What is the cousin of the parameter? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:091", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the top corner of the grid, where you find a snail. You move down-left by one step, where you find a cauldron. You move down-right by one step, where you find a sleeping bag. You move down-left by one step, where you find a Cairn Terrier. You move down-right by one step, where you find a schooner. You move up-right by one step, where you find a Model T. You move up-right by one step, where you find a brambling. You move up-left by one step, where you find a rifle. You move down-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:092", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a bike. Then you move down-right for one step and see a bear. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step and see a crib. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a raspberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a bed. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a carrot. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a tube. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a stone. Then you move right for one step and see a walnut. Then you move left for one step. Then you move right for one step. Then you move down-right for one step and see a cucumber. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a blackberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a desk. Then you don't move for a while. Then you move right for one step and see a knife. Then you don't move for a while. Then you move down-left for one step and see a tree. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a car. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step and see a pencil. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then, you jump to a random vertex V where you see a pie. Then you move left for one step and see a shampoo. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a backpack. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a strawberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a doll. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a toy. Then you don't move for a while. Then you move down-left for one step and see a plum. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a lamp. Then you don't move for a while. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a persimmon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a mug. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a brush. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a watermelon. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a blackberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you jump back to the random vertex V and do the following moves: down-left, right, up-left, down-left, down-right, down-left, up-right, up-right, down-right, down-right, up-left, down-right, up-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:095", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a snake. Then you move down-right for one step and see a lychee. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a tomato. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a blackberry. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a kiwi. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a brush. Then you move down-right for one step and see a toy. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a pie. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a television. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a dresser. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a dog. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a towel. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a clementine. Then you don't move for a while. Then you move down-right for one step and see a mango. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a paper. Then you move right for one step and see a snowball. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a raspberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step and see a shampoo. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move right for one step and see a bed. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a watermelon. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move up-left for one step and see a cat. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a bread. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a pomegranate. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step and see a basket. Then you don't move for a while. Then you move down-right for one step and see a crib. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a flower. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a bike. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a cucumber. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step and see a printer. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a knife. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:096", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the right corner of the grid, where you find an acorn. You move down-left by one step, where you find a toilet paper. You move up-left by one step, where you find an analog clock. You move down-left by one step, where you find a library. You move up-left by one step, where you find a grocery store. You move up-right by one step, where you find a water jug. You move up-right by one step, where you find a station wagon. You move down-right by one step, where you find a half-track. You move down-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:101", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a carrot. Then you move down-right for one step and see a crib. Then you move down-right for one step and see a bread. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a banana. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a strawberry. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a tube. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a grape. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a peanut. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a cat. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a cucumber. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a plum. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a basket. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bike. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a persimmon. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a fox. Then you move down-right for one step and see a soap. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a dresser. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a desk. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:103", "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the bottom right corner of the map, where you find a Bernese Mountain Dog. You move up by one step, where you find a banjo. You move up-left by one step, where you find a corn. You move up by one step, where you find a hen-of-the-woods. You move up-left by one step, where you find a bagel. You move down-left by one step, where you find a hamster. You move down by one step, where you find a teddy bear. You move down-right by one step, where you find a poncho. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:105", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a shampoo. Then you move down-left for one step and see a tomato. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a tart. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a peanut. Then you move right for one step and see a grape. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a snowball. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a fish. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a lamp. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a soap. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a knife. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step and see a raspberry. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a paper. Then you move right for one step and see a walnut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a towel. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a backpack. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a rug. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you don't move for a while. Then you move right for one step and see a printer. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a television. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a banana. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a bike. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a football. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a blackberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a pen. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step and see a lemon. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a kiwi. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:107", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a walnut. Then you move down-right for one step and see a stone. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a mug. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a strawberry. Then you don't move for a while. Then you move down-left for one step and see a bean. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a bread. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a pen. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a grape. Then you move right for one step and see a banana. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a basket. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a crib. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a mango. Then you don't move for a while. Then you move down-right for one step and see a toy. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a desk. Then you move down-left for one step and see a paper. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a clementine. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a peanut. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a spoon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a tart. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step and see a lychee. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step and see a kiwi. Then you don't move for a while. Then you move down-left for one step and see a dresser. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a dog. Then you don't move for a while. Then you move up-left for one step and see a bed. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a laptop. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a football. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step and see a mango. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: right, down-left, right, down-right, up-left, up-left, up-right, up-left, up-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:108", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a desk. Then you move down-right for one step and see a pencil. Then you move down-left for one step and see a raspberry. Then you don't move for a while. Then you move down-left for one step and see a dog. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a backpack. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a knife. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a lamp. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a shampoo. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a fox. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a flower. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a kiwi. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a watermelon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a book. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a towel. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a tart. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a bear. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a pomegranate. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a pen. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move right for one step and see a mango. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a bean. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a can. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a dresser. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a statue. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step and see a cell phone. Then you don't move for a while. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:111", "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the top corner of the map, where you find a soup bowl. You move down-right by one step, where you find a Chihuahua. You move down by one step, where you find a dome. You move down-left by one step, where you find a peacock. You move down by one step, where you find a Norwich Terrier. You move down-right by one step, where you find a barrel. You move up-right by one step, where you find a sulphur-crested cockatoo. You move up by one step, where you find an American robin. You move up-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:114", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a cranberry. Then you move down-right for one step and see a snowball. Then you move down-right for one step and see a laptop. Then you move down-right for one step and see a snake. Then you move down-left for one step and see a tiger. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a football. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a soap. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a tomato. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a carrot. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step and see a car. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a peanut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a toy. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a backpack. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a rug. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a watermelon. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a cake. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a pen. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a fork. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a strawberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a fig. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a grapefrut. Then you move down-right for one step and see a doll. Then you move down-right for one step and see a mirror. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a pie. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a cucumber. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a cat. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:118", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a shampoo. Then you move down-right for one step and see a fox. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a peanut. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a towel. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a cat. Then you move down-left for one step and see a blackberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a knife. Then you move up-right for one step and see a blueberry. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a fish. Then you move down-left for one step and see a rug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a grater. Then you move up-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a fig. Then you don't move for a while. Then you move down-right for one step and see a printer. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a banana. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a carrot. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step and see a doll. Then you move up-right for one step and see a can. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a kiwi. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a fork. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:120", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a basket. Then you move down-right for one step and see a grape. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a mango. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a persimmon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a pomegranate. Then you move down-right for one step and see a tiger. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a dog. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step. Then you don't move for a while. Then you move down-left for one step and see a shampoo. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a toy. Then you move up-right for one step and see a bed. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step and see a towel. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a flower. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a peanut. Then you don't move for a while. Then you move down-left for one step and see a fish. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a blackberry. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a brush. Then you don't move for a while. Then you move down-left for one step and see a soap. Then you move down-left for one step and see a kiwi. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a mug. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a spoon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step and see a cucumber. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a plum. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a lamp. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:123", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a mug. Then you move down-right for one step and see a pie. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a can. Then you don't move for a while. Then you move right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you don't move for a while. Then you move down-left for one step and see a soap. Then you move down-left for one step and see a football. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a carrot. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a peanut. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a grater. Then you move down-left for one step and see a snowball. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a clementine. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a dog. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a doll. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you don't move for a while. Then you move down-left for one step and see a cake. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a cell phone. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a dresser. Then you move left for one step and see a pen. Then you move right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move up-left for one step and see a laptop. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then, you jump to a random vertex V where you see a persimmon. Then you move left for one step and see a raspberry. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a tart. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step and see a towel. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a pomegranate. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a lemon. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step and see a cake. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you jump back to the random vertex V and do the following moves: up-right, down-right, right, right, up-left, down-left, left, left, up-right, left, up-left, up-left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:127", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a plum. Then you move down-right for one step and see a football. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a mirror. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a raspberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a dresser. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a laptop. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a cake. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tomato. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a carrot. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a desk. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a book. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a snowball. Then you move down-right for one step and see a grater. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a lychee. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step and see a bed. Then you move up-left for one step and see a basket. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a pencil. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a pen. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a flower. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a bread. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bear. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a spoon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a blueberry. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a soap. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a tree. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a cucumber. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a peanut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a car. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a grape. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a blackberry. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you don't move for a while. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:131", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a bed. Then you move down-right for one step and see a kiwi. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a towel. Then you don't move for a while. Then you move up-left for one step and see a rug. Then you don't move for a while. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a fox. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a tube. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a grater. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a fish. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tart. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a flower. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a mug. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a crib. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a pie. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a walnut. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a carrot. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step and see a football. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a can. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a desk. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then, you jump to a random vertex V where you see a car. Then you move down-left for one step and see a tree. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a tiger. Then you move up-left for one step and see a mango. Then you don't move for a while. Then you move down-right for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a plum. Then you move down-right for one step and see a fork. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a peanut. Then you move up-right for one step and see a cucumber. Then you don't move for a while. Then you move down-left for one step. Then you move up-left for one step and see a raspberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a soap. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a television. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a spoon. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a tart. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you jump back to the random vertex V and do the following moves: down-left, down-right, down-right, up-left, down-left, up-left, up-left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:132", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a tube. Then you move down-left for one step and see a laptop. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a television. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a towel. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step and see a lemon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a fig. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a football. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a tomato. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a clementine. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a pencil. Then you move down-right for one step and see a basket. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a paper. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a statue. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a bear. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a dog. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a doll. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a raspberry. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a tree. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a fork. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a printer. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a watermelon. Then you move up-right for one step and see a spoon. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a potato. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step and see a banana. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a strawberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a grater. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:134", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a bike. Then you move down-left for one step and see a statue. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a persimmon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a stone. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step and see a fox. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move left for one step and see a peanut. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a tree. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a snowball. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a mug. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a dog. Then you move down-left for one step and see a paper. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a tomato. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a backpack. Then you move down-left for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a bear. Then you move up-right for one step and see a kiwi. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a pen. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move left for one step and see a fork. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step and see a towel. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a backpack. Then you move down-left for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: left, up-left, down-left, up-right, up-left, right, down-right, down-left, up-left, down-right, right, up-left, down-left, left, left, left, up-right, down-left, up-right, down-right, up-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:135", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a toy. Then you move down-left for one step and see a blackberry. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a cat. Then you don't move for a while. Then you move up-right for one step and see a rug. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a lemon. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a snake. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a grape. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a book. Then you move down-right for one step and see a basket. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a bike. Then you don't move for a while. Then you move up-left for one step. Then you don't move for a while. Then you move up-right for one step and see a desk. Then you don't move for a while. Then you move down-right for one step and see a shampoo. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a dog. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a doll. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a potato. Then you move down-right for one step and see a tomato. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a tiger. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a bear. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step and see a football. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a lychee. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a television. Then you move down-right for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a tube. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a fork. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a persimmon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a lychee. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you jump back to the random vertex V and do the following moves: down-left, down-right, up-right, down-left, up-right, up-left, down-left, down-left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:136", "request": "You have been given a circular path consisting of 9 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find an academic gown. Moving in a clockwise direction from the academic gown, the elements on the path are a unicycle, a Treeing Walker Coonhound, a ptarmigan, a chiffonier, a thatched roof, a junco, a jeans, and a dam. Starting from the jeans, you move around the ring by 5 steps in a counter-clockwise direction, and you move around the ring by 7 steps in a counter-clockwise direction, and you move around the ring by 3 steps in a counter-clockwise direction, and you move around the ring by 8 steps in a counter-clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:138", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the left corner of the grid, where you find a kit fox. You move up-right by one step, where you find an earth star. You move up-right by one step, where you find a hermit crab. You move down-right by one step, where you find a mousetrap. You move down-right by one step, where you find a fiddler crab. You move down-left by one step, where you find a little blue heron. You move down-left by one step, where you find a Lakeland Terrier. You move up-left by one step, where you find a bell-cot. You move up-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:141", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a toy. Then you move down-right for one step and see a grapefrut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a blackberry. Then you don't move for a while. Then you move down-right for one step and see a stone. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a tomato. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a mirror. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a pie. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a pen. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a knife. Then you don't move for a while. Then you move up-left for one step and see a can. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step. Then you don't move for a while. Then you move down-right for one step and see a walnut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a cake. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a persimmon. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a bed. Then you don't move for a while. Then you move down-right for one step and see a blueberry. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a paper. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a snowball. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a pomegranate. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a plum. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a statue. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a clementine. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then, you jump to a random vertex V where you see a cat. Then you move up-left for one step and see a fox. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a dog. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step and see a pencil. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a backpack. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a mango. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a lemon. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a bean. Then you move up-left for one step and see a crib. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a walnut. Then you jump back to the random vertex V and do the following moves: up-left, down-right, up-left, down-left, up-right, down-left, up-left, down-left, left, left, up-right, left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:143", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a kiwi. Then you move down-right for one step and see a mirror. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a paper. Then you move down-left for one step and see a stone. Then you move right for one step and see a desk. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a grapefrut. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step and see a printer. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a backpack. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a tiger. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a tree. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a towel. Then you move down-left for one step and see a grater. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a brush. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a carrot. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a bean. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a statue. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step and see a clementine. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a laptop. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a cell phone. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bear. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a cake. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you don't move for a while. Then you move down-right for one step and see a bed. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a fish. Then you don't move for a while. Then you move down-right for one step and see a lamp. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step and see a cucumber. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a potato. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you don't move for a while. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:146", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a strawberry. Then you move down-left for one step and see a brush. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a doll. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a towel. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a shampoo. Then you don't move for a while. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a dog. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a plum. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a pomegranate. Then you don't move for a while. Then you move up-right for one step and see a cucumber. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a grape. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move down-left for one step and see a cranberry. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a car. Then you don't move for a while. Then you move down-left for one step and see a can. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a backpack. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a carrot. Then you move right for one step and see a football. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a raspberry. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a snake. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step and see a pen. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a toy. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a dresser. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a fork. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move left for one step and see a watermelon. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:147", "request": "You have been given a tree structure with 117 nodes. brain and archive are siblings. cassette has no children. object has two children; forest and stapler. pipeline has no grandchildren. archive has 7 grandchildren: switch and pill (whose parent is exhibition) and calendar, village, airplane, spectrum, and squash (whose parent is lizard). landscape has 20 grandchildren: pipeline, sofa, poster, and laugh (whose parent is planet), cassette, size, campaign, and smoke (whose parent is fence), screwdriver, beer, and universe (whose parent is skateboard), dress, objective, rain, network, and heuristic (whose parent is razor), and chain, power, castle, and raccoon (whose parent is concert). forest has no grandchildren. dream has no grandchildren. spectrum has two children; video and medicine. medicine has no grandchildren. comb has no children. pattern has no grandchildren. passion has no children. video has no grandchildren. bear has no grandchildren. village has no grandchildren but has 5 children: seed, soup, simplicity, burger, and application. cursor has no grandchildren. dress has no grandchildren. painting has no children. universe has no children. computer has no grandchildren. pig has 3 children: bike, object, and shoes. shoes has no grandchildren but has 4 children: database, water, motivation, and mirror. power has no grandchildren. raccoon has no grandchildren. medal has no children. eraser has no grandchildren. effectiveness has no children. framework has no children. gate has no children. stove has no grandchildren. beaver has no children. transaction has no children. headphones has no grandchildren. silk has no grandchildren. poster has no children. chain has no grandchildren. size has no grandchildren. goodness has no children. campaign has no grandchildren. screwdriver has no children. dance has no children. change has no children. wolf has no children. sofa has no grandchildren. tablet has no grandchildren. backpack has no grandchildren. bike has no grandchildren but has 4 children: avatar, stamp, metal, and clock. island has no grandchildren. vacuum has 4 children: ear, tensor, tab, and project. wallet has no grandchildren. switch has 5 children: beaver, eraser, comb, goodness, and computer. project has no grandchildren but has 2 children: milk and optimization. squash has no grandchildren but has 3 children: puzzle, transition, and needle. cable has no grandchildren. artifact has no children. cache has no grandchildren. castle has no grandchildren. tab has 3 children: song, file, and passion. song has no children. photo has no children. paper has no grandchildren. airplane has no grandchildren but has 5 children: debugger, foot, page, diversity, and mouth. heuristic has no children. calendar has 5 children: transaction, headphones, effectiveness, cache, and drive. sculpture has no grandchildren. network has no grandchildren. file has no grandchildren. technology has no children. objective has no children. distribution has 15 grandchildren: gate, medal, wolf, island, and wallet (whose parent is candle), silk, stove, dream, framework, and dance (whose parent is resource), and photo, technology, sculpture, painting, and backpack (whose parent is tone). tensor has no grandchildren but has 3 children: improvement, topic, and art. smoke has no grandchildren. ear has 3 children: change, artifact, and tablet. laugh has no children. stapler has no children. rain has no children. drive has no grandchildren. beer has no grandchildren. pill has 5 children: cable, cursor, pattern, paper, and bear. brain has 4 children: vacuum, pig, landscape, and distribution. What is the cousin of the campaign? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:148", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the bottom corner of the grid, where you find a valley. You move up-left by one step, where you find an electric locomotive. You move up-left by one step, where you find an electric fan. You move up-right by one step, where you find a rain barrel. You move down-right by one step, where you find a joystick. You move up-right by one step, where you find a stethoscope. You move down-right by one step, where you find a weevil. You move down-left by one step, where you find a semi-trailer truck. You move down-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:150", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a fish. Then you move down-right for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a cake. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step and see a persimmon. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a tomato. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step and see a grapefrut. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a walnut. Then you move up-left for one step and see a cucumber. Then you move down-left for one step and see a knife. Then you don't move for a while. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a bean. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a cell phone. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a raspberry. Then you move left for one step and see a pencil. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a can. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a tiger. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a football. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a basket. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a tube. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a cat. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a banana. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a snowball. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a stone. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a spoon. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a bed. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step. Then you don't move for a while. Then you move up-right for one step and see a backpack. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a toy. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:152", "request": "You have been given a tree structure with 627 nodes. transaction, current, and glitter are siblings. movie has no grandchildren. shirt has no grandchildren. flower has no children. network has no grandchildren. current has two children; patch and floor. engine has no children. router has no children. regulation has no children. medicine has no children. weakness has 3 children: form, tea, and screwdriver. username has no grandchildren but has 2 children: pliers and client. fish has no grandchildren but has 3 children: portrait, film, and stage. relationship has 4 children: pipeline, library, zipper, and clarity. sand has no children. peach has no grandchildren. purse has no children. tea has 3 children: socket, resource, and task. dishwasher has 3 children: template, spectrum, and transition. spectrum has 10 grandchildren: mosquito and application (whose parent is map), clip, feather, and sword (whose parent is experiment), and emphasis, lemon, regression, coffee, and tool (whose parent is desert). keys has no grandchildren but has 5 children: scarf, voltage, toothbrush, eraser, and checkbox. philosophy has 3 children: resistance, forum, and physics. forecast has no grandchildren. headphones has no children. cluster has no grandchildren. shortcut has no children. risk has no grandchildren. furniture has no grandchildren. equality has no grandchildren. hue has no children. food has no grandchildren. lemon has no children. webpage has no children. church has no children. digital has two children; fig and cardboard. bed has no children. patch has 4 children: goodness, egg, addon, and music. volume has no grandchildren. worm has no children. chicken has no grandchildren but has 3 children: device, engineering, and star. exhibition has no children. shade has no children. screen has no children. spinach has no grandchildren. fire has no grandchildren but has 3 children: tone, hill, and growth. socket has no grandchildren but has 3 children: ticket, freedom, and history. ceiling has no children. project has no grandchildren. marker has no children. butterfly has no children. wing has no grandchildren. communication has no children. snail has no grandchildren. razor has no children. recommendation has no grandchildren. instrument has 3 children: editor, axe, and camera. rock has no grandchildren. sword has no children. density has 4 children: initiative, recommendation, peach, and razor. hub has no grandchildren but has 3 children: piano, link, and community. painting has no children. guideline has no grandchildren. relic has no children. message has no children. ladybug has no grandchildren. transition has 5 children: instrument, documentary, change, profile, and fire. lake has 5 children: result, exhibition, marker, duck, and scooter. teamwork has no grandchildren but has 4 children: brain, equipment, challenge, and threat. measurement has no children. rhythm has no grandchildren. shadow has no children. protocol has no children. success has no children. goodness has 6 grandchildren: printer, wine, donut, and glue (whose parent is bee) and sun and success (whose parent is balloon) and 2 children: quantum and cherry. shield has 5 children: trend, rock, glasses, toothpaste, and texture. repository has no grandchildren but has 5 children: city, claw, media, simulation, and thorn. egg has 4 children: policy, goose, tower, and sky. trumpet has no grandchildren. umbrella has no grandchildren but has 4 children: reflection, banana, leadership, and drawing. size has no grandchildren. sociology has no grandchildren. floor has 7 grandchildren: goat, bowl, hub, sugar, and beer (whose parent is snake) and dirt and shield (whose parent is merge). port has 4 children: hate, rug, violin, and movie. rat has two children; contrast and drill. ornament has no children. procedure has no grandchildren but has 5 children: toolbar, coin, thought, creativity, and concept. dress has no grandchildren but has 2 children: resistor and knife. emotion has no children. folder has no children. helmet has no grandchildren but has 2 children: raspberry and television. collaboration has no grandchildren. connection has 4 children: carrot, thread, drums, and light. literature has no grandchildren. smoke has no grandchildren but has 5 children: chocolate, development, software, tradition, and squash. love has no grandchildren. juice has no grandchildren. gate has 5 children: play, address, hope, drum, and algorithm. motorcycle has no children. tissue has no grandchildren. database has no grandchildren. deploy has 3 children: harmony, medicine, and wing. power has 5 children: turtle, cotton, door, hospital, and progress. poem has no children. ball has no grandchildren. key has no children. motivation has no grandchildren but has 4 children: wall, heart, cloth, and comb. monkey has no grandchildren but has 4 children: bucket, burger, coral, and mountain. bridge has no children. economics has no grandchildren. culture has no grandchildren. coconut has 12 grandchildren: classification and bulb (whose parent is storage), regulation, furniture, sociology, farm, and memory (whose parent is vector), and zebra, dryer, volume, linguistics, and petal (whose parent is plate). yogurt has no grandchildren but has 3 children: controller, hardware, and stone. trashcan has no children. progress has no grandchildren. clarity has no grandchildren. socks has no grandchildren. zucchini has no grandchildren but has 2 children: conclusion and building. tower has 4 children: key, socks, purse, and distribution. index has no children. system has no grandchildren but has 5 children: drink, mouth, tablet, pattern, and company. cardboard has no grandchildren. card has no grandchildren. principle has no children. glue has no grandchildren. dog has no grandchildren but has 4 children: page, plum, desk, and fixture. trend has no children. oven has no grandchildren. physics has no children. road has no children. image has no grandchildren. vehicle has no children. turkey has no children. feather has no children. inductor has no children. future has no children. anthropology has no grandchildren. zipper has no children. play has no children. printer has no grandchildren. bulb has no children. date has 5 children: rhythm, turkey, pot, church, and ceiling. pot has no children. harmony has no children. forum has no grandchildren. globe has no grandchildren. empowerment has no children. shelter has 10 grandchildren: monkey, terminal, and username (whose parent is health), fur, energy, battery, teamwork, and slider (whose parent is kiwi), and content and gate (whose parent is silk). initiative has no grandchildren. pants has no children. bead has 7 grandchildren: pen, screw, screen, butterfly, and index (whose parent is header) and record and doll (whose parent is beard). result has no children. zebra has no children. method has no children. sparkle has no grandchildren but has 4 children: brick, forest, pea, and skirt. application has no children. screw has no grandchildren. calendar has no grandchildren. hospital has no grandchildren. hammer has no grandchildren but has 3 children: failure, cup, and freezer. report has no grandchildren but has 3 children: performance, lamp, and park. tab has 16 grandchildren: philosophy and yogurt (whose parent is partnership), dust, phase, puzzle, and power (whose parent is silence), relationship and clustering (whose parent is cheese), ladybug, bandage, and keys (whose parent is potato), and deploy, motivation, lettuce, repository, and fish (whose parent is slug). disk has 5 grandchildren: dropdown, forecast, and salad (whose parent is style) and inductor and wave (whose parent is cursor). linguistics has no grandchildren. lock has no grandchildren. resource has no grandchildren but has 5 children: plane, notification, hand, inspiration, and belt. coffee has no grandchildren. improvement has no grandchildren. beach has no children. laugh has 3 children: radio, augmented, and status. dirt has no grandchildren but has 5 children: guitar, ceremony, photo, variety, and standard. clustering has 4 children: future, castle, plan, and card. toy has no grandchildren. landscape has no children. elephant has no grandchildren. documentary has two children; ornament and cluster. lecture has no children. farm has no children. game has no grandchildren. society has no grandchildren. fear has no children. donut has no grandchildren. dryer has no grandchildren. mango has 5 children: label, disk, galaxy, bead, and coconut. anger has no children. ice has no grandchildren. violin has no grandchildren. account has no children. corn has no children. workshop has no grandchildren. butter has no children. tool has no children. topic has no grandchildren. gathering has two children; protocol and empowerment. addon has 5 children: dog, umbrella, drive, crown, and curtain. norm has no grandchildren. music has two children; ladder and port. adapter has 4 children: beach, improvement, cloud, and server. analysis has no grandchildren. metal has no grandchildren but has 2 children: cat and wrench. container has no grandchildren. revolution has no grandchildren but has 3 children: advertisement, dustpan, and color. interaction has no grandchildren but has 4 children: enterprise, bottle, arrow, and deer. emphasis has no children. sugar has no grandchildren but has 2 children: file and idea. organization has no children. domain has two children; oven and principle. editor has no grandchildren. activation has no grandchildren. salad has no children. memory has no children. server has no children. crystal has no grandchildren but has 3 children: mathematics, blueberry, and squirrel. jewel has no children. sensor has no grandchildren but has 4 children: widget, ear, venture, and presentation. support has no children. weight has no grandchildren. record has no grandchildren. fig has no children. function has no grandchildren but has 5 children: tear, laptop, lion, impact, and alert. dropdown has no grandchildren. interface has 3 children: asparagus, eggplant, and love. lettuce has no grandchildren but has 5 children: email, toe, signal, scissors, and avatar. influence has two children; shirt and keyboard. battery has no grandchildren but has 2 children: strategy and workflow. instance has 5 grandchildren: rocket, helmet, and rat (whose parent is rabbit) and zucchini and towel (whose parent is sales). lesson has 5 children: snail, pants, theme, corn, and article. science has no grandchildren. wool has no children. keyboard has no children. camera has no grandchildren. plan has no children. door has no children. processor has 4 children: ice, science, method, and stamp. stamp has no grandchildren. raccoon has 4 children: lock, flag, bridge, and literature. drive has no grandchildren but has 5 children: object, happiness, probability, speaker, and pie. change has no grandchildren but has 4 children: sofa, treasure, foot, and boat. prompt has no grandchildren. medal has no grandchildren. asparagus has no grandchildren. texture has no grandchildren. convention has no children. rocket has no grandchildren but has 4 children: mouse, celery, hat, and trophy. status has 14 grandchildren: money, input, and couch (whose parent is finger), workshop, headphones, and nest (whose parent is tape), popup, environment, and road (whose parent is meaning), and jewel, calendar, topic, flower, and prompt (whose parent is nail). can has 5 children: database, juice, emotion, belief, and poem. chip has 12 grandchildren: raccoon, dress, processor, lake, and grass (whose parent is watch), gathering, ritual, pill, digital, and smoke (whose parent is bike), and hammer and notebook (whose parent is legacy). fur has 5 children: relic, communication, culture, shortcut, and statue. fox has no grandchildren. energy has two children; ball and shadow. toothpaste has no children. task has two children; smile and lecture. museum has no children. library has no children. sun has no children. policy has no grandchildren. engagement has no children. pen has no grandchildren. doll has no grandchildren. sheet has no grandchildren. belief has no grandchildren. turtle has no children. money has no children. gloves has no grandchildren. drums has no grandchildren. address has no children. regression has no grandchildren. template has 3 children: interaction, metal, and mop. input has no grandchildren. hate has no grandchildren. backpack has 19 grandchildren: projector, console, influence, and shoes (whose parent is package), washer, phone, system, and mirror (whose parent is charger), crystal, coat, and custom (whose parent is elegance), broccoli, butter, adapter, and brush (whose parent is bean), and date, connection, mug, and interface (whose parent is layer). mosquito has no children. petal has no children. balance has no grandchildren. mirror has no grandchildren but has 5 children: sketch, cricket, framework, unity, and artifact. towel has two children; activation and medal. phone has no grandchildren but has 2 children: mustache and computer. tactic has no children. dust has no grandchildren but has 5 children: ant, tree, objective, law, and block. mug has no grandchildren but has 4 children: scale, salt, hashtag, and shell. algorithm has no children. sadness has no children. light has no children. audio has no children. article has no grandchildren. ritual has 3 children: trumpet, sadness, and router. wave has no grandchildren. dream has no children. transaction has 5 children: shelter, tab, dishwasher, fence, and backpack. environment has no grandchildren. beer has 3 children: motorcycle, collaboration, and lobster. scooter has no children. theme has no children. internet has no grandchildren. projector has no grandchildren but has 5 children: optimization, suitcase, plastic, architecture, and art. pill has 5 children: spinach, convention, pepper, risk, and worm. smile has no grandchildren. goose has 3 children: spider, sand, and class. goat has no grandchildren but has 3 children: pin, geology, and concert. sky has no grandchildren but has 5 children: technology, strawberry, frog, blog, and pear. galaxy has two children; field and domain. management has no grandchildren. celebration has no children. slider has 4 children: globe, measurement, anthropology, and clock. popup has no grandchildren. flag has no children. bread has no grandchildren. lobster has no grandchildren. distribution has no children. classification has no children. augmented has 4 children: density, report, procedure, and revolution. eggplant has no children. coat has 5 children: engine, ribbon, management, economics, and norm. radio has 3 children: wallet, gateway, and sparkle. field has 5 children: webpage, guideline, audio, internet, and balance. statue has no grandchildren. ribbon has no grandchildren. book has no children. glasses has no children. contrast has no grandchildren. drum has no grandchildren. duck has no children. washer has two children; sheet and fox. form has two children; lesson and chicken. thread has no children. nest has no grandchildren. chemistry has 4 children: fear, food, weight, and game. grass has two children; engagement and organization. pipeline has no children. profile has no grandchildren but has 3 children: branch, finance, and tint. spreadsheet has no children. pepper has no grandchildren. clip has no grandchildren. castle has no children. carrot has no children. broccoli has no grandchildren but has 5 children: compass, waterfall, password, needle, and ocean. custom has no grandchildren but has 5 children: politics, apple, earth, correlation, and transistor. wine has no children. crown has no grandchildren but has 4 children: soda, fabric, cereal, and truck. ruler has no grandchildren. drill has no grandchildren. console has 5 children: account, gloves, ruler, tactic, and bread. wallet has no grandchildren but has 2 children: eye and proportion. fence has 2 grandchildren: function and can (whose parent is fries) and 1 children: theory. mop has no grandchildren but has 4 children: cookie, stapler, parameter, and bracelet. couch has no children. resistance has no grandchildren. clock has no children. bowl has 3 children: shade, message, and toy. curtain has no grandchildren but has 5 children: box, button, pizza, evolution, and wood. cloud has no grandchildren. notebook has no grandchildren but has 3 children: archive, constant, and orange. terminal has no grandchildren but has 3 children: candy, feeling, and conference. content has no grandchildren but has 5 children: window, campaign, store, hair, and cassette. beauty has no children. class has no grandchildren. phase has no grandchildren but has 3 children: garden, joy, and virtual. spider has no children. label has 12 grandchildren: painting and image (whose parent is pixel), bed, wool, book, hue, and celebration (whose parent is bird), and beauty, project, society, anger, and tissue (whose parent is illusion). ladder has 4 children: analysis, vehicle, dream, and spreadsheet. bandage has 3 children: landscape, container, and equality. shrimp has no grandchildren but has 5 children: soap, sandwich, browser, accountability, and bag. axe has no children. brush has two children; network and skateboard. glitter has 5 children: laugh, mango, chip, weakness, and instance. gateway has 4 children: museum, support, elephant, and size. puzzle has two children; folder and trashcan. hope has no grandchildren. rug has no children. skateboard has no grandchildren. screwdriver has 3 children: sensor, shrimp, and chemistry. shoes has no grandchildren but has 2 children: analog and sunglasses. cotton has no grandchildren. What is the cousin of the form? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:153", "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the top corner of the map, where you find a pan flute. You move down-left by one step, where you find a pill bottle. You move down by one step, where you find a cabbage. You move down-left by one step, where you find an eel. You move down by one step, where you find a toilet paper. You move down-right by one step, where you find an alligator lizard. You move up-right by one step, where you find a stage. You move up by one step, where you find a torch. You move up-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:155", "request": "You have been given a circular path consisting of 12 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a sunglasses. Moving in a clockwise direction from the sunglasses, the elements on the path are a daisy, a Brittany, a ruffed grouse, a tennis ball, a Kuvasz, a guacamole, a harvester, a goblet, a Bernese Mountain Dog, a water buffalo, and a brain coral. Starting from the ruffed grouse, you move around the ring by 8 steps in a counter-clockwise direction, and you move around the ring by 10 steps in a counter-clockwise direction, and you move around the ring by 2 steps in a clockwise direction, and you move around the ring by 10 steps in a counter-clockwise direction, and you move around the ring by 2 steps in a clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:156", "request": "You have been given a circular grid consisting of 12 connected dots. Starting from a vertex, you will move along the edges of the circular grid. Initially, you are positioned on the dot that's located at the top of the grid, where you find a beer bottle. You move around the ring by 4 steps in a clockwise direction, where you find a rock beauty. You move around the ring by 9 steps in a clockwise direction, where you find a Bloodhound. You move around the ring by 9 steps in a clockwise direction, where you find a catamaran. You move around the ring by 3 steps in a counter-clockwise direction, where you find a dock. You move around the ring by 11 steps in a counter-clockwise direction, where you find an African rock python. You move around the ring by 11 steps in a counter-clockwise direction, where you find a cardigan. You move around the ring by 2 steps in a clockwise direction, where you find a Cairn Terrier. You move around the ring by 10 steps in a clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:158", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the left corner of the grid, where you find an eggnog. You move up-right by one step, where you find a gazelle. You move up-right by one step, where you find a desert grassland whiptail lizard. You move down-right by one step, where you find a cliff dwelling. You move down-right by one step, where you find a potter's wheel. You move down-left by one step, where you find a toucan. You move down-left by one step, where you find a church. You move up-left by one step, where you find a marmoset. You move up-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:162", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a banana. Then you move down-left for one step and see a lemon. Then you don't move for a while. Then you move right for one step and see a snake. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tube. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a football. Then you don't move for a while. Then you move down-right for one step and see a pen. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step and see a television. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a dresser. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a paper. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a cat. Then you move up-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a grater. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a raspberry. Then you move left for one step and see a doll. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a pie. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a kiwi. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step and see a cell phone. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a cake. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a blueberry. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a statue. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a lamp. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a car. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a fox. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a strawberry. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a lychee. Then you don't move for a while. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a bed. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:163", "request": "You have been given a tree structure with 305 nodes. battery, interface, progress, saw, and design are siblings. stem has no grandchildren. tone has no grandchildren but has 5 children: mathematics, strength, fox, lock, and partnership. keys has no children. glasses has no children. banana has no children. literature has 5 children: field, emotion, hate, tensor, and conditioner. avocado has no children. tunnel has no grandchildren. vehicle has no grandchildren but has 3 children: gloves, simulation, and chemistry. snow has no grandchildren. book has no children. branch has no grandchildren. diversity has no children. slug has no children. procedure has no grandchildren. painting has no children. salad has no children. box has no grandchildren. sadness has no children. constant has no grandchildren but has 3 children: virtual, poster, and snail. plan has no children. umbrella has no grandchildren. island has no children. bag has no grandchildren. trashcan has no grandchildren. result has no grandchildren. cursor has 4 children: island, scroll, unity, and console. conclusion has no grandchildren. evaluation has no grandchildren but has 2 children: wave and play. design has 16 grandchildren: church and forest (whose parent is connector), evaluation, vehicle, and tone (whose parent is clipboard), medal, calendar, and asparagus (whose parent is editor), tradition, orange, and passion (whose parent is ladder), and elephant, kangaroo, hospital, oven, and soap (whose parent is sheet). database has two children; risk and inspiration. wire has no children. field has 3 children: sketch, sound, and cable. fabric has no grandchildren but has 2 children: fish and skateboard. sun has no grandchildren. keyboard has no children. deploy has no grandchildren. news has no grandchildren. turkey has no children. inspiration has no children. helicopter has no grandchildren. pearl has no children. photo has no children. framework has no children. belief has no children. font has no grandchildren. responsibility has no children. dream has no grandchildren. resource has no grandchildren. eraser has no grandchildren. love has no grandchildren. muscle has no grandchildren. water has 11 grandchildren: enterprise, muscle, and slug (whose parent is convention), tree, template, photo, dust, and success (whose parent is glass), and interaction, resilience, and popup (whose parent is pig). clip has no children. freezer has no children. concept has no children. success has no children. marketing has no children. paper has no children. ear has no children. river has no grandchildren. hammer has no children. conference has no grandchildren. passion has 5 children: planet, deploy, sun, helicopter, and statue. lesson has no grandchildren. thorn has no grandchildren. sound has no children. unity has no children. fig has no children. smile has no grandchildren. development has 4 children: belief, structure, feather, and audio. ocean has no children. finance has 9 grandchildren: television, petal, framework, and glasses (whose parent is sea), tablet, system, and flag (whose parent is lobster), and couch and wire (whose parent is disc). accessory has no children. desert has no grandchildren. pea has 16 grandchildren: sparkle, store, rain, engine, and turkey (whose parent is topic), responsibility, marketing, painting, foot, and procedure (whose parent is butter), plan, love, and news (whose parent is zebra), and speaker, inductor, and resource (whose parent is address). risk has no children. movie has no children. toy has no children. hate has no grandchildren but has 4 children: distribution, treasure, mouse, and card. sparkle has no grandchildren. system has no grandchildren. cable has no children. broom has no grandchildren. wood has no children. spinach has no grandchildren. philosophy has 4 children: broom, input, grass, and sociology. advertisement has 12 grandchildren: ear, bag, lion, signal, and movie (whose parent is screen), statistic and threat (whose parent is hardware), and texture, result, ocean, diode, and thorn (whose parent is elegance). cucumber has 3 children: lesson, wood, and shirt. social has no children. brush has no grandchildren. progress has 3 children: literature, communication, and finance. console has no children. camera has no grandchildren. tree has no children. store has no children. orange has no grandchildren but has 5 children: present, cotton, webpage, equality, and toolbar. disk has no grandchildren. hub has no grandchildren. shirt has no children. calendar has 4 children: proportion, salad, keyboard, and conference. letter has no grandchildren. saw has 4 children: pea, hair, advertisement, and water. narrative has no children. ritual has no grandchildren. scroll has no grandchildren. lion has no children. username has no children. efficiency has no children. planet has no grandchildren. fridge has no children. petal has no grandchildren. enterprise has no children. beer has no children. rain has no children. cloud has no children. potato has 12 grandchildren: letter, paper, and social (whose parent is socket), hat, avocado, and coin (whose parent is sponge), toy and box (whose parent is kiwi), meaning and clip (whose parent is bridge), and hub and diversity (whose parent is cat). tablet has no children. statue has no children. photograph has no grandchildren but has 5 children: ornament, folder, menu, scarf, and fire. frog has no grandchildren. coin has no children. asparagus has 4 children: accessory, spectrum, banana, and tunnel. pot has no grandchildren but has 4 children: fries, worm, goodness, and lake. speaker has no children. depth has no children. emotion has two children; doll and sadness. feather has no grandchildren. meaning has no grandchildren. doll has no children. coat has no children. sociology has no grandchildren. proportion has no grandchildren. plastic has no grandchildren. threat has no children. sandwich has no grandchildren but has 2 children: flower and carrot. diode has no children. elephant has no grandchildren but has 5 children: correlation, cry, lemon, suitcase, and plugin. flag has no children. signal has no grandchildren. input has no grandchildren. drink has no grandchildren. teamwork has no children. phone has no children. medal has no grandchildren but has 3 children: education, monkey, and chip. tradition has 4 children: mango, depth, font, and frog. kangaroo has no grandchildren but has 4 children: file, regulation, organization, and gradient. sketch has no grandchildren. fork has no grandchildren but has 5 children: psychology, objective, engineering, technology, and plane. couch has no grandchildren. forest has no grandchildren but has 3 children: activity, dustpan, and algorithm. conditioner has no grandchildren but has 2 children: pan and search. oven has no grandchildren but has 4 children: beak, washer, corporation, and garden. document has no grandchildren. television has no children. dust has no children. texture has no children. engine has no grandchildren. soap has no grandchildren but has 4 children: celebration, zipper, curtain, and health. method has no grandchildren. soup has 4 children: ritual, drill, conclusion, and association. association has no grandchildren. spectrum has no children. tensor has 3 children: skirt, document, and fridge. hat has no grandchildren. interaction has no children. mango has no grandchildren. inductor has no children. interface has 13 grandchildren: constant and cursor (whose parent is dropdown), bear, drum, and mosquito (whose parent is activation), cucumber, pot, and spinach (whose parent is cup), and philosophy, fork, photograph, sandwich, and soup (whose parent is printer). grass has no children. statistic has no children. bear has no grandchildren but has 2 children: joy and wrench. popup has no children. resilience has no children. template has no children. church has no grandchildren but has 5 children: prompt, circuit, ecosystem, medicine, and emphasis. cherry has no grandchildren. audio has no children. hair has 10 grandchildren: desert, drink, phone, coat, and freezer (whose parent is evolution) and plastic, method, cloud, book, and trashcan (whose parent is cardboard). battery has two children; potato and squirrel. drum has no grandchildren but has 5 children: task, rice, date, ceremony, and analog. foot has no children. hospital has no grandchildren but has 4 children: accountability, kite, globe, and finger. structure has no children. squirrel has 20 grandchildren: hammer, eraser, concept, and fig (whose parent is microphone), dream, efficiency, branch, smile, and stem (whose parent is mountain), disk, narrative, river, and umbrella (whose parent is hashtag), brush, keys, username, camera, and beer (whose parent is rock), and cherry and teamwork (whose parent is norm). drill has no children. communication has 3 children: fabric, development, and database. mosquito has two children; snow and pearl. skirt has no grandchildren. What is the cousin of the algorithm? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:165", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the bottom corner of the grid, where you find a snail. You move up-right by one step, where you find a snoek. You move up-right by one step, where you find a seat belt. You move up-left by one step, where you find a red fox. You move down-left by one step, where you find a leatherback sea turtle. You move up-left by one step, where you find a sea urchin. You move down-left by one step, where you find a scoreboard. You move down-right by one step, where you find a great grey owl. You move up-right by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:166", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a strawberry. Then you move down-left for one step and see a tiger. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a lychee. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step and see a pomegranate. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a statue. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a rug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a bike. Then you don't move for a while. Then you move down-left for one step and see a blackberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a paper. Then you move down-right for one step and see a bear. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a peanut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a television. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a football. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a mirror. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a bed. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a fox. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a cranberry. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a mango. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a spoon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step and see a flower. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a brush. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a dresser. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step and see a crib. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move down-left for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:167", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a clementine. Then you move down-left for one step and see a cake. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you don't move for a while. Then you move down-right for one step and see a bear. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a cat. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a pencil. Then you move up-right for one step. Then you move down-right for one step and see a flower. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a mug. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step. Then you move up-right for one step and see a persimmon. Then you move down-right for one step and see a raspberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a cell phone. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a tomato. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a television. Then you don't move for a while. Then you move down-right for one step and see a pie. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a toy. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a laptop. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a mirror. Then you don't move for a while. Then you move down-left for one step and see a fig. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a dresser. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a statue. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a bean. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then, you jump to a random vertex V where you see a cucumber. Then you move down-left for one step and see a stone. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a crib. Then you don't move for a while. Then you move up-right for one step and see a banana. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a snowball. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a tree. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step and see a toy. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you jump back to the random vertex V and do the following moves: down-right, down-right, up-right, up-left, up-left, down-left, down-left, up-right, down-left, down-right, up-right, down-left, up-right, up-left, up-right, down-left, up-left, up-left, up-left, up-right, up-left, up-left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:168", "request": "You have been given a pointy-topped regular hexagonal tile map consisting of 2 rows, where the first row has one tile and the second row has two tiles. Starting from a vertex, you will move along the edges of these tiles. Initially, you are positioned at the bottom right corner of the map, where you find a smooth green snake. You move up by one step, where you find a barometer. You move up-left by one step, where you find a snoek. You move down-left by one step, where you find a grey fox. You move up-left by one step, where you find a mashed potato. You move up by one step, where you find an eastern hog-nosed snake. You move up-right by one step, where you find a sock. You move down-right by one step, where you find a Miniature Schnauzer. You move down by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:171", "request": "You have been given a tree structure with 352 nodes. shoes and glass are siblings. sand has no grandchildren. donut has no children. project has no grandchildren. grape has no children. cluster has no grandchildren. file has no children. harmony has no children. mouse has no grandchildren. gateway has no grandchildren. video has no children. glasses has no grandchildren. repository has no grandchildren. printer has no grandchildren. banana has no children. bear has no children. object has no children. shoes has 3 children: tactic, plane, and moon. footer has 4 children: merge, bone, project, and purse. bottle has no children. analysis has no grandchildren. stapler has no children. cassette has two children; button and audio. emphasis has no grandchildren. elephant has no grandchildren but has 3 children: oven, accountability, and squirrel. wrench has no children. controller has no children. spreadsheet has no grandchildren but has 5 children: protocol, accessory, socks, soap, and instrument. branch has no children. hope has no grandchildren but has 5 children: cache, block, conclusion, arrow, and size. window has no grandchildren. helicopter has no grandchildren. pants has no children. candle has no grandchildren. headphones has no grandchildren. pepper has no children. star has no children. hospital has two children; pepper and sheep. standard has 4 children: input, frequency, deer, and wave. hashtag has no grandchildren. valley has no grandchildren. pea has no children. trashcan has 3 children: bottle, repository, and forum. school has no grandchildren but has 5 children: celery, influence, slider, image, and experience. fly has no grandchildren but has 4 children: sword, correlation, pear, and fries. clothing has no children. boat has no grandchildren but has 5 children: dropdown, evolution, procedure, initiative, and program. battery has no children. coin has no grandchildren. elegance has no grandchildren but has 3 children: food, tear, and texture. screwdriver has no children. peach has no children. village has no children. spider has no grandchildren. challenge has 12 grandchildren: knife, bird, hair, and mouse (whose parent is ant), video, bus, and debugger (whose parent is medal), and distribution, mosquito, passion, star, and equality (whose parent is model). leather has no children. cry has no grandchildren but has 3 children: disc, television, and signal. reflection has no grandchildren but has 2 children: stage and adapter. story has no children. purse has no children. wave has 3 children: plum, pea, and index. pencil has no children. sunglasses has two children; peach and battery. glass has 6 grandchildren: hill and pen (whose parent is amplitude) and bed, presentation, challenge, and landscape (whose parent is giraffe). bowl has two children; clothing and transformation. augmented has no grandchildren but has 5 children: resistor, waterfall, eggplant, flower, and painting. wire has no grandchildren but has 3 children: sofa, sketch, and ribbon. gem has no grandchildren. regulation has no grandchildren. clock has no grandchildren. deer has no grandchildren but has 4 children: chain, unity, exhibition, and algorithm. hair has no grandchildren. plum has no children. addon has no grandchildren but has 5 children: crystal, sociology, decoration, engagement, and cherry. interaction has no children. frequency has no grandchildren but has 4 children: coconut, mirror, glue, and ceremony. zucchini has no children. pattern has no children. advantage has two children; harmony and umbrella. presentation has 3 children: goose, augmented, and trashcan. revolution has 10 grandchildren: interaction, optimization, wallet, drive, and banana (whose parent is cookie), object and sheet (whose parent is sponge), and belt, society, and church (whose parent is process). bed has 7 grandchildren: town and smile (whose parent is internet), gateway and brick (whose parent is jacket), and justice, valley, and doll (whose parent is function). optimization has no grandchildren. water has no children. technology has no grandchildren. cotton has no grandchildren but has 4 children: objective, username, lettuce, and meeting. ocean has no children. plane has 5 children: standard, drill, vacuum, revolution, and transition. knife has no grandchildren. watch has no grandchildren. landscape has 7 grandchildren: gem, pig, and window (whose parent is earrings) and machine, printer, stapler, and candle (whose parent is rubber) and 1 children: mango. church has no children. feeling has no children. distribution has no children. drive has no children. heart has 5 children: pattern, screwdriver, leather, coin, and present. merge has no children. drill has 4 children: elephant, matrix, dress, and event. sparkle has no grandchildren. sheet has no grandchildren. raccoon has no children. article has no grandchildren. equality has no children. tissue has no grandchildren but has 4 children: anchor, happiness, keyboard, and projector. health has no children. mosquito has no grandchildren. rope has no grandchildren. solution has no children. doll has no grandchildren. earth has no children. audio has no grandchildren. innovation has no grandchildren but has 5 children: opportunity, apple, rhythm, connection, and platform. hill has 5 children: statistic, sunglasses, lobster, spreadsheet, and pot. query has no grandchildren. bird has no grandchildren. lobster has 5 children: linguistics, spider, bear, map, and hashtag. map has no children. movement has no grandchildren but has 3 children: wool, art, and effort. disadvantage has two children; water and sparkle. drawing has no grandchildren but has 4 children: cricket, rabbit, cake, and toothbrush. rocket has no grandchildren but has 2 children: artifact and equipment. goose has no grandchildren but has 5 children: shine, love, mathematics, table, and galaxy. town has no children. rat has no grandchildren. pig has no children. bone has no children. brick has no children. leadership has no children. transformation has no children. index has no grandchildren. present has no grandchildren. processor has two children; sand and article. marker has no children. shovel has no children. marketing has no children. justice has no children. moon has 19 grandchildren: wire, book, rocket, drawing, and sandwich (whose parent is purpose), template, movement, belief, and bowl (whose parent is fish), reflection, smoke, and footer (whose parent is towel), cry, cotton, disadvantage, problem, and processor (whose parent is piano), and needle and hope (whose parent is box). microwave has no children. pen has 10 grandchildren: donut, broccoli, and file (whose parent is dance), technology, glasses, and controller (whose parent is fridge), and experiment, festival, branch, and sustainability (whose parent is font). experiment has no children. brush has no grandchildren. hammer has no grandchildren. broccoli has no grandchildren. belief has 5 children: earth, wrench, clock, yarn, and analysis. button has no children. sustainability has no grandchildren. tactic has 20 grandchildren: school, ticket, heart, dishwasher, and butter (whose parent is shield), advantage and orange (whose parent is speaker), classification, clarity, paper, tissue, and brush (whose parent is planet), cassette, hospital, metal, boat, and grape (whose parent is tunnel), and fly, innovation, and elegance (whose parent is theory). sheep has no children. book has two children; marketing and hammer. matrix has no grandchildren but has 4 children: menu, folder, petal, and pumpkin. needle has 4 children: marker, blanket, cluster, and sound. transition has 4 children: clipboard, addon, commit, and voltage. blanket has no children. butterfly has no grandchildren. farm has no grandchildren. stamp has no children. milk has two children; rat and headphones. paper has two children; raccoon and profile. belt has no grandchildren. umbrella has no grandchildren. stem has no children. template has no grandchildren but has 3 children: software, transistor, and design. passion has no children. mosque has no grandchildren. society has no children. pot has no grandchildren but has 4 children: medicine, trophy, field, and status. event has 5 children: history, pencil, village, story, and microwave. dishwasher has 5 children: duck, zucchini, helicopter, screen, and feeling. linguistics has no children. metal has no grandchildren. dress has two children; shovel and farm. thread has no grandchildren. wallet has no grandchildren. wall has no children. steak has 5 children: watch, pants, port, mosque, and butterfly. statistic has no grandchildren but has 5 children: fox, rice, form, analog, and laptop. clarity has no children. machine has no children. smoke has no grandchildren but has 2 children: empowerment and washer. input has 5 children: rope, stem, leadership, regulation, and emphasis. bus has no grandchildren. yarn has no grandchildren. debugger has no children. voltage has no grandchildren but has 3 children: toothpaste, tooth, and treasure. forum has no grandchildren. port has no grandchildren. sound has no grandchildren. commit has no grandchildren but has 3 children: application, support, and globe. duck has no children. vacuum has two children; steak and milk. smile has no grandchildren. laugh has no grandchildren. sandwich has two children; ocean and laugh. ticket has no children. butter has no grandchildren but has 5 children: lace, teamwork, sea, badge, and record. history has no children. clipboard has no grandchildren but has 5 children: documentary, plugin, radish, message, and economics. island has no grandchildren. orange has two children; thread and solution. festival has no grandchildren. problem has no grandchildren but has 4 children: city, ball, bridge, and dryer. screen has no children. classification has 5 children: health, query, island, stamp, and wall. profile has no grandchildren. What is the cousin of the process? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:173", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a statue. Then you move down-right for one step and see a cake. Then you move down-right for one step and see a towel. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a cucumber. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a fox. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a toy. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a walnut. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a car. Then you don't move for a while. Then you move up-right for one step. Then you don't move for a while. Then you move down-right for one step and see a potato. Then you don't move for a while. Then you move down-left for one step and see a banana. Then you move down-left for one step and see a laptop. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a grater. Then you don't move for a while. Then you move down-left for one step and see a cat. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a can. Then you move down-right for one step and see a fork. Then you move down-left for one step and see a fish. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tart. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a soap. Then you move up-left for one step and see a grape. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a mirror. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a peanut. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a desk. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step and see a can. Then you move down-left for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: up-right, down-left, up-left, down-right, up-left, down-left, up-right, down-left, down-right, down-left, up-left, down-left, up-right, down-left, up-right, down-right, up-right, up-right, up-right, up-right, down-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:174", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the bottom corner of the grid, where you find a water snake. You move up-left by one step, where you find an ice pop. You move up-left by one step, where you find a cricket. You move up-right by one step, where you find a beer bottle. You move down-right by one step, where you find a cicada. You move down-right by one step, where you find a jeans. You move up-right by one step, where you find a Samoyed. You move up-left by one step, where you find a honeycomb. You move down-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:175", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a paper. Then you move down-right for one step and see a brush. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a car. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a spoon. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a printer. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a carrot. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a walnut. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a cat. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a towel. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bread. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step and see a fox. Then you don't move for a while. Then you move down-left for one step and see a book. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a cell phone. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a fork. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a fish. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a mango. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a television. Then you don't move for a while. Then you move down-left for one step and see a dog. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you don't move for a while. Then you move up-left for one step and see a banana. Then you move down-right for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you don't move for a while. Then you move up-left for one step and see a tiger. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:177", "request": "You have been given a 3 by 3 pointy-topped regular rhombus tile map. Starting from a vertex, you will move along the edges of the grid. Initially, you are positioned at the left corner of the grid, where you find a snorkel. You move up-right by one step, where you find a kimono. You move down-right by one step, where you find a projectile. You move down-left by one step, where you find a bikini. You move down-right by one step, where you find a wombat. You move up-right by one step, where you find a swimming cap. You move up-right by one step, where you find a swing. You move up-left by one step, where you find a hot pot. You move down-left by one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:183", "request": "You have been given a tree structure with 889 nodes. checkbox, audio, form, emotion, and program are siblings. rice has 7 grandchildren: tint, blueberry, prediction, tomato, and ladder (whose parent is plum) and monkey and marker (whose parent is pill). inductor has no grandchildren. circuit has no grandchildren. shine has no grandchildren. sea has no children. message has 10 grandchildren: experience and soup (whose parent is air), strength, sandwich, and celebration (whose parent is bucket), and glitter, movement, gate, thorn, and meaning (whose parent is rabbit). weight has no grandchildren. salad has no grandchildren. landscape has no grandchildren. towel has no children. pot has no grandchildren but has 2 children: castle and wisdom. earrings has no grandchildren. wool has no children. instrument has no children. dust has no grandchildren but has 4 children: value, standard, cache, and necklace. duck has no grandchildren but has 2 children: index and lobster. bird has no grandchildren but has 4 children: beaver, chip, desert, and joy. accessory has no grandchildren. style has no children. beer has no grandchildren. trashcan has no grandchildren. mouth has no children. tongue has no grandchildren. keys has no children. corporation has no grandchildren. slider has no grandchildren. empowerment has no grandchildren. hope has no grandchildren. trophy has no grandchildren. cassette has no children. justice has 5 grandchildren: architecture and hardware (whose parent is wire) and harmony, slug, and law (whose parent is tree) and 1 children: helmet. stage has no children. ant has no grandchildren. cardboard has no children. tomato has 3 children: mouse, wool, and wallet. sound has no children. bear has no children. beard has two children; regression and furniture. broccoli has no grandchildren. headphones has no children. cursor has no grandchildren. boat has 3 children: skin, convention, and voltage. happiness has no grandchildren. bowl has 5 children: process, glasses, parameter, bead, and heart. audio has 8 grandchildren: conclusion and song (whose parent is growth), literature, foot, pineapple, and wall (whose parent is motivation), and augmented and ethics (whose parent is pig). sand has no grandchildren. axe has no children. plan has no grandchildren. switch has no grandchildren. couch has 9 grandchildren: roof, observation, and clarity (whose parent is church), raspberry and beer (whose parent is hat), and equality, crown, badge, and chocolate (whose parent is sunglasses). ring has two children; tea and universe. success has no children. brick has no grandchildren but has 3 children: pan, package, and tissue. nail has no grandchildren. candle has no children. apple has no grandchildren. zucchini has no grandchildren. rubber has no grandchildren. console has no children. snow has 4 children: tactic, pot, disadvantage, and brick. microwave has no grandchildren. business has no grandchildren. toothbrush has no grandchildren. train has no grandchildren. kiwi has no children. spinach has no grandchildren. rock has no grandchildren. claw has no grandchildren. bag has 5 children: archive, volume, truck, interaction, and curtain. reflection has no grandchildren. development has no grandchildren. clipboard has no grandchildren. microphone has no children. coat has no grandchildren. shampoo has no grandchildren but has 2 children: branch and toolbar. progress has no grandchildren. plastic has no grandchildren. anthropology has no children. drum has 5 children: needle, house, leather, onion, and commit. meeting has two children; towel and advantage. city has no grandchildren but has 2 children: chat and box. cheese has 5 children: console, letter, goose, cloud, and stem. story has no grandchildren. teamwork has no grandchildren. hashtag has no grandchildren but has 2 children: juice and rug. trend has no grandchildren. bread has no grandchildren. application has no grandchildren. galaxy has 4 children: potato, measurement, workflow, and company. chair has no grandchildren. activity has no grandchildren. cricket has no grandchildren. fox has no children. sketch has no grandchildren. window has no grandchildren. impact has no children. disadvantage has two children; claw and sustainability. movement has no grandchildren but has 2 children: phone and crystal. garlic has no grandchildren. plugin has no children. shoes has no children. bandage has no grandchildren. energy has no grandchildren. ear has no grandchildren. idea has no children. vector has no grandchildren. village has no children. cloth has no grandchildren. peach has no grandchildren. cloud has no grandchildren. tactic has no grandchildren but has 2 children: television and paint. mosquito has no children. collaboration has no grandchildren but has 4 children: shell, society, dress, and transistor. cluster has no children. freedom has no grandchildren but has 4 children: pear, object, tooth, and balloon. mountain has no grandchildren but has 3 children: constant, thought, and storage. resistor has no children. glasses has 13 grandchildren: pipeline, silence, ant, optimization, and gathering (whose parent is violin), power, game, luster, and ornament (whose parent is model), and resistor, salad, laptop, and school (whose parent is status). glitter has no grandchildren but has 2 children: treasure and domain. digital has no children. client has no grandchildren. chicken has no grandchildren. tool has no children. card has no grandchildren. poster has no grandchildren. airplane has no grandchildren but has 4 children: beach, signal, engine, and bracelet. purpose has no children. link has no grandchildren but has 5 children: popup, prompt, module, drive, and diversity. scale has 5 children: sea, hill, love, zucchini, and wave. initiative has no children. variety has no children. frame has no grandchildren. size has no children. program has 5 children: battery, bowl, fabric, mop, and shield. social has no children. experience has no grandchildren but has 4 children: arrow, dance, squirrel, and disk. photograph has 4 children: bus, library, drink, and revolution. worm has no children. norm has no children. ceremony has no grandchildren. function has no children. output has 4 children: carrot, fence, symmetry, and card. soup has no grandchildren but has 5 children: engineering, spider, router, layer, and grass. beard has no grandchildren but has 4 children: glasses, yogurt, measurement, and duck. code has no grandchildren but has 3 children: port, widget, and map. screen has no children. task has 3 children: grape, eraser, and broccoli. font has no children. slug has no children. fur has 5 children: venture, glue, axe, island, and gateway. fish has no children. beauty has 3 children: remote, lock, and fig. glue has no children. shade has no children. optimization has no grandchildren. dryer has no grandchildren. rope has no children. crystal has 4 children: pen, globe, corn, and coat. bow has 5 children: header, sugar, service, record, and health. love has no children. cow has no children. resource has no grandchildren. harmony has no children. dream has no children. projector has no grandchildren. furniture has no children. internet has no children. silence has no grandchildren. bean has no grandchildren but has 3 children: ladybug, ticket, and medicine. poem has no children. giraffe has no children. wave has no children. money has no children. workflow has no children. tower has no grandchildren. desk has no children. globe has no children. planet has no grandchildren. equipment has no grandchildren. parameter has 8 grandchildren: blood, spinach, and development (whose parent is lake) and initiative, microphone, coral, cassette, and geology (whose parent is method). belt has no children. beak has two children; plate and car. drawing has no grandchildren. contrast has no children. machine has no grandchildren. potato has no grandchildren. river has no grandchildren. news has no children. universe has two children; effectiveness and machine. repository has no grandchildren. effectiveness has no grandchildren. gathering has no children. relationship has no grandchildren but has 5 children: processor, marketing, razor, economics, and firewall. calendar has no grandchildren. jar has no children. skirt has no grandchildren. marketing has no grandchildren but has 5 children: shade, popup, box, headphones, and marker. trumpet has no grandchildren. challenge has no grandchildren. game has no grandchildren. design has no children. anchor has no grandchildren but has 5 children: narrative, icecream, pin, frog, and artifact. festival has no grandchildren but has 4 children: enterprise, risk, pepper, and density. ladder has 3 children: proportion, giraffe, and tongue. milk has no children. education has no children. stone has no grandchildren but has 2 children: steak and thread. turkey has no children. pineapple has 5 children: photograph, beauty, button, piano, and management. suitcase has no grandchildren but has 5 children: computer, strawberry, art, campaign, and conditioner. probability has no grandchildren. media has no grandchildren. spectrum has two children; frame and support. conclusion has 13 grandchildren: valley and umbrella (whose parent is pea), success and dropdown (whose parent is folder), communication, balance, software, tower, and tape (whose parent is blanket), and texture, equipment, hammer, and client (whose parent is page) and 1 children: seminar. gradient has 5 children: accessory, cricket, candle, experiment, and shirt. principle has no grandchildren. cat has no children. sculpture has no children. park has no children. snake has no grandchildren. statistic has no children. ruler has no grandchildren but has 5 children: tablet, backpack, bike, soap, and addon. vacuum has two children; wind and education. procedure has 3 children: energy, farm, and window. health has no grandchildren. scroll has no grandchildren. theory has 3 children: neural, washer, and compass. cherry has no children. sustainability has no grandchildren. knife has no grandchildren but has 5 children: mug, tone, current, paper, and belief. car has no grandchildren. record has no grandchildren. guideline has no grandchildren. scarf has no children. avatar has no children. lecture has no grandchildren. toy has no children. island has no grandchildren. radish has no grandchildren. ceiling has no grandchildren but has 4 children: wine, database, event, and fries. hardware has no children. template has no grandchildren but has 5 children: plant, rat, leaf, mathematics, and screw. tree has no children. peace has no grandchildren but has 4 children: sparkle, clock, sofa, and coin. roof has no children. workshop has no grandchildren. heuristic has no children. shrimp has no children. mop has 7 grandchildren: airplane and webpage (whose parent is flower) and ice, knife, comb, turkey, and engagement (whose parent is ladybug). observation has no grandchildren. architecture has no grandchildren. law has no children. header has no grandchildren. network has no grandchildren. interaction has no grandchildren. ocean has no grandchildren. ecosystem has no grandchildren. deploy has no children. weakness has no grandchildren but has 3 children: water, pixel, and emphasis. onion has no children. remote has no grandchildren. tensor has no grandchildren. helicopter has no grandchildren. symmetry has no grandchildren. stem has no grandchildren. instance has 5 children: cookie, label, pen, ecosystem, and tear. literature has 11 grandchildren: shine, cloth, and bridge (whose parent is hand), trashcan, gloves, and astronomy (whose parent is stove), and money, statue, key, plastic, and concept (whose parent is evaluation) and 1 children: threat. history has no grandchildren. correlation has no grandchildren. wrench has no grandchildren. kite has no grandchildren. marker has 3 children: planet, pumpkin, and article. service has no grandchildren. spoon has no grandchildren. illusion has no children. mushroom has no grandchildren but has 2 children: sign and store. bean has 5 children: scroll, resilience, weight, lizard, and forum. charger has no children. blueberry has no grandchildren but has 2 children: association and pizza. raspberry has no grandchildren. squash has no children. strength has two children; shade and cotton. custom has 11 grandchildren: sketch and pillow (whose parent is dirt), size, deer, and ritual (whose parent is change), silk, cluster, trumpet, and happiness (whose parent is moon), and cabbage and hair (whose parent is light). thorn has two children; reflection and tool. crown has no grandchildren. gloves has no children. bead has 3 children: collaboration, fork, and mountain. lizard has no grandchildren. feather has 3 children: lecture, organization, and sand. quantum has 4 children: bandage, melon, drill, and circuit. variable has no children. banana has no children. sandwich has no grandchildren but has 5 children: unity, system, relic, rocket, and solution. deer has no grandchildren. resilience has no grandchildren. tape has no children. finance has no children. carrot has no grandchildren. mouse has no children. support has no children. notebook has no children. article has no children. texture has no children. lace has no grandchildren. wind has no grandchildren. video has no children. luster has no children. celebration has no grandchildren. foot has 8 grandchildren: purse, turtle, and vector (whose parent is freezer), notebook, can, and calendar (whose parent is topic), and jar and browser (whose parent is laugh). date has 9 grandchildren: goodness and rock (whose parent is building), field and dog (whose parent is clip), and simulation, garlic, contrast, chain, and statistic (whose parent is puzzle). sheet has no grandchildren. cotton has no grandchildren. toy has no children. chemistry has no children. communication has no grandchildren. badge has no grandchildren. hammer has no grandchildren. garden has no children. pillow has no grandchildren. present has no children. song has 8 grandchildren: opportunity, mosquito, spreadsheet, rubber, and objective (whose parent is shadow) and sky, sheet, and principle (whose parent is soda) and 1 children: activation. globe has no children. statue has no grandchildren. heart has 4 children: server, finger, bird, and strategy. sun has no grandchildren. bus has no children. fabric has 10 grandchildren: bean and beard (whose parent is ceiling), gradient and bean (whose parent is dishwasher), crystal and framework (whose parent is transaction), phase and marketing (whose parent is distribution), and cat and relationship (whose parent is bone). lesson has 12 grandchildren: apple, socket, culture, and hub (whose parent is broom), smile, landscape, and internet (whose parent is biology), and sun, merge, ticket, banner, and clipboard (whose parent is transition). finger has no grandchildren but has 4 children: metal, legacy, toothpaste, and muscle. star has no grandchildren but has 4 children: goal, diary, nose, and fear. pipeline has no grandchildren. organization has no children. tear has no children. book has no children. shield has 19 grandchildren: output, waterfall, fire, and bag (whose parent is policy), cheese, floor, image, guitar, and food (whose parent is camera), lime, weakness, and salt (whose parent is bulb), festival, quantum, and variety (whose parent is saw), and snail, shovel, medicine, and template (whose parent is controller). fridge has no children. shortcut has no grandchildren. letter has no grandchildren. concept has no children. curtain has no grandchildren. butterfly has 10 grandchildren: town, sensor, dryer, partnership, and hue (whose parent is color) and petal, poem, earrings, instrument, and search (whose parent is framework). sociology has no grandchildren. leather has no children. goodness has no children. classification has no grandchildren but has 3 children: future, clustering, and decoration. goose has no children. power has no children. candy has two children; toothbrush and pattern. plate has no grandchildren. wallet has no grandchildren. hospital has no children. forum has no grandchildren. server has no grandchildren but has 3 children: interface, theme, and failure. ice has no grandchildren but has 5 children: holiday, report, donut, community, and play. simulation has no children. screwdriver has no grandchildren. hub has no grandchildren. chocolate has no grandchildren. connector has no grandchildren. astronomy has no grandchildren. stamp has no children. sales has no children. mustache has no children. matrix has no children. spreadsheet has no children. drink has no children. nest has no grandchildren. salt has no grandchildren but has 4 children: disc, wood, brain, and hate. username has no children. needle has no grandchildren. fig has no grandchildren. food has 4 children: sculpture, helicopter, lemon, and corporation. yarn has no grandchildren. pants has no children. gate has 5 children: sword, screwdriver, sales, transaction, and cry. advantage has no children. prediction has 3 children: matrix, repository, and plugin. lock has no children. banner has no grandchildren. coffee has no grandchildren. lime has 3 children: alert, desk, and resource. butter has no grandchildren but has 5 children: website, lion, photo, orange, and wolf. earth has no grandchildren. tradition has no grandchildren. volume has no grandchildren. eraser has no grandchildren. waterfall has no grandchildren but has 4 children: patch, yogurt, memory, and class. dropdown has no children. balance has no children. sugar has no grandchildren. technology has no children. button has 4 children: application, museum, projector, and pliers. compass has no grandchildren but has 5 children: vehicle, feeling, innovation, fly, and sponge. checkbox has two children; rice and message. augmented has 13 grandchildren: burger, nail, and slider (whose parent is pencil), bed, username, and wrench (whose parent is transformation), switch, protocol, and radish (whose parent is adapter), and container, social, technology, and font (whose parent is advertisement) and 1 children: address. shirt has no grandchildren. presentation has no grandchildren. silk has no grandchildren. effort has no children. hue has no children. commit has no grandchildren. guitar has 4 children: news, guideline, book, and fox. umbrella has no children. venture has no grandchildren. cabbage has no children. sheep has no grandchildren but has 5 children: stapler, linguistics, depth, cave, and toe. capacitor has no grandchildren. monkey has 5 children: teamwork, music, earth, stage, and rain. burger has no children. house has no children. engagement has no grandchildren but has 3 children: watch, password, and leadership. printer has no grandchildren. phase has 4 children: toy, evolution, tensor, and tree. archive has no grandchildren. software has no children. door has two children; beak and radio. resistance has no grandchildren. chain has no children. library has no children. socket has no grandchildren. shelter has no children. tea has 5 children: rope, idea, fixture, avatar, and toy. protocol has no grandchildren. project has 4 children: tradition, peach, stamp, and sociology. pen has no children. amplitude has no children. search has no children. cry has no children. truck has no children. objective has no children. container has no grandchildren. melon has no children. corn has no grandchildren. tab has 5 children: document, morality, gem, mouth, and beard. equality has no children. physics has no children. meaning has two children; cable and connector. shovel has no grandchildren but has 2 children: goat and anger. cookie has no grandchildren. hill has no children. root has no grandchildren but has 4 children: road, creativity, rhythm, and content. device has no children. strategy has 4 children: lace, tunnel, probability, and device. ethics has 18 grandchildren: fridge, capacitor, seed, story, and milk (whose parent is debugger), virtual and raccoon (whose parent is jacket), design, media, mustache, chemistry, and glass (whose parent is cake), screen, trophy, and movie (whose parent is plane), and diode, skirt, and kiwi (whose parent is algorithm). ritual has no grandchildren. regression has no grandchildren. pliers has no children. field has no grandchildren. merge has no grandchildren. voltage has no children. coral has no grandchildren. mango has no grandchildren. laptop has no grandchildren. experiment has no children. webpage has 4 children: network, heuristic, problem, and dream. pumpkin has no grandchildren. petal has no children. dustpan has no grandchildren. wall has 19 grandchildren: cereal, digital, scarf, and deploy (whose parent is lettuce), shoes, cardboard, anthropology, and account (whose parent is menu), inductor, bread, fish, kite, and mango (whose parent is regulation), charger, socks, bear, and yarn (whose parent is truth), and ear and chicken (whose parent is keyboard). seed has no children. blood has no children. glass has no grandchildren. management has 3 children: train, concert, and responsibility. morality has no grandchildren but has 3 children: documentary, doll, and philosophy. ball has 4 children: freedom, bow, task, and boat. geology has no children. revolution has no children. skin has no grandchildren. sword has no children. fire has no grandchildren but has 3 children: analog, compiler, and motorcycle. zipper has 9 grandchildren: environment, empowerment, headphones, sound, and hope (whose parent is editor), correlation and cow (whose parent is oven), and passion and kangaroo (whose parent is eye) and 1 children: portrait. passion has no grandchildren. piano has two children; amplitude and globe. document has no grandchildren but has 4 children: pearl, inspiration, mosque, and egg. brush has no children. culture has no children. town has no grandchildren. gem has no grandchildren but has 2 children: celery and mirror. kangaroo has no grandchildren. file has no children. cable has no children. cucumber has no grandchildren. sky has no grandchildren. company has no children. tint has 4 children: dustpan, video, resistance, and trend. sequin has no grandchildren. floor has no grandchildren but has 4 children: footer, crab, forecast, and email. skateboard has 11 grandchildren: function, impact, and park (whose parent is block), brush, coffee, garden, variable, and politics (whose parent is pie), and spoon, hospital, and purpose (whose parent is friend). clarity has no children. shape has 12 grandchildren: code, pasta, and fur (whose parent is platform), star, shampoo, pants, and vacuum (whose parent is jewel), and project, sadness, hashtag, spectrum, and candy (whose parent is profile). drill has no children. terminal has no grandchildren but has 2 children: icon and simplicity. coconut has no grandchildren. diode has no children. fence has no children. follower has no grandchildren. form has two children; shape and efficiency. comb has 3 children: plan, norm, and coat. farm has no children. fixture has no children. proportion has no grandchildren. battery has two children; custom and lamp. film has 5 children: flag, butter, terminal, asparagus, and zebra. emotion has 18 grandchildren: elephant and painting (whose parent is smoke), theory, lesson, door, and date (whose parent is actuator), ring, butterfly, and film (whose parent is tiger), tab, justice, ball, presentation, and skateboard (whose parent is eggplant), and snow, couch, zipper, and accountability (whose parent is exhibition). environment has no grandchildren. image has 3 children: microwave, finance, and challenge. flag has no grandchildren but has 3 children: clothing, scissors, and drums. pasta has 5 children: activity, snake, physics, chair, and illusion. zebra has 4 children: ceremony, shelter, keys, and recommendation. ornament has no children. purse has no grandchildren. label has no grandchildren. framework has no grandchildren but has 2 children: letter and balance. rain has no grandchildren. account has no grandchildren. asparagus has no grandchildren. wing has no children. analysis has no grandchildren. turtle has no children. lamp has two children; scale and city. fork has 4 children: file, analysis, worm, and effort. coat has no children. smile has no grandchildren. hair has no children. sadness has two children; conference and banana. pattern has no children. grape has no children. lemon has no children. music has no children. raccoon has no grandchildren. responsibility has no grandchildren. painting has 13 grandchildren: village, workshop, coconut, present, and river (whose parent is table), belt, squash, and elegance (whose parent is bee), and nest, sequin, history, cursor, and printer (whose parent is avocado). snail has two children; structure and shortcut. gateway has no children. neural has no grandchildren but has 4 children: speaker, validation, input, and influence. accountability has 11 grandchildren: shrimp, business, and follower (whose parent is cup), cucumber, wing, cherry, and style (whose parent is temple), and science, drawing, progress, and poster (whose parent is blog). appliance has no grandchildren but has 5 children: bottle, medal, horse, ribbon, and notification. medicine has two children; ocean and query. transaction has no grandchildren. evolution has no children. elephant has no children. opportunity has no grandchildren. sensor has no grandchildren. alert has no grandchildren. efficiency has 15 grandchildren: instance, meeting, appliance, classification, and link (whose parent is psychology), drum, root, peace, and anchor (whose parent is frequency), mushroom, dust, and galaxy (whose parent is scooter), and ruler, feather, and stone (whose parent is performance). socks has no grandchildren. museum has no children. query has no children. pen has no grandchildren. process has 5 children: sheep, suitcase, ceiling, duck, and procedure. convention has no grandchildren. tunnel has no grandchildren. bridge has no children. science has no grandchildren. structure has no grandchildren. virtual has no children. washer has no grandchildren. concert has no grandchildren. radio has no grandchildren but has 4 children: corn, connection, improvement, and forest. problem has no children. movie has no grandchildren. valley has no children. recommendation has no grandchildren. conference has no children. cereal has no children. dog has no grandchildren. ticket has no grandchildren. school has no grandchildren. partnership has no children. key has no grandchildren. bed has no grandchildren. elegance has no grandchildren. can has no grandchildren. politics has no grandchildren. browser has no grandchildren. measurement has no children. What is the cousin of the trend? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:184", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a kiwi. Then you move down-left for one step and see a cake. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a tree. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a toy. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a spoon. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step and see a dog. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a snowball. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a flower. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a watermelon. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step and see a television. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a laptop. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a mug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tart. Then you don't move for a while. Then you move up-right for one step and see a bear. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a printer. Then you don't move for a while. Then you move left for one step and see a pie. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step. Then you don't move for a while. Then you move up-right for one step. Then, you jump to a random vertex V where you see a statue. Then you move down-right for one step and see a persimmon. Then you don't move for a while. Then you move right for one step and see a banana. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step and see a lamp. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a bread. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move left for one step and see a football. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a clementine. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move right for one step and see a grapefrut. Then you move down-left for one step and see a basket. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move left for one step and see a rug. Then you move right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a tiger. Then you don't move for a while. Then you move down-right for one step and see a raspberry. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step and see a flower. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you jump back to the random vertex V and do the following moves: down-left, down-right, up-left, right, up-right, up-right, down-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:186", "request": "You have been given a tree structure with 335 nodes. history and project are siblings. tactic has no children. enterprise has no grandchildren. purse has 4 children: ruler, lobster, sequin, and chip. banana has no children. butter has no children. monkey has no grandchildren. machine has no children. sand has no grandchildren. texture has no grandchildren. chat has no grandchildren but has 3 children: artifact, bear, and responsibility. lobster has no grandchildren. bike has no grandchildren. shape has no grandchildren. tongue has no grandchildren. ticket has 3 children: power, poster, and screw. bus has no grandchildren but has 3 children: profile, nail, and mathematics. glasses has 5 children: scarf, biology, medal, avatar, and physics. image has no children. compiler has no grandchildren. floor has no grandchildren. scroll has no children. stem has no children. field has no children. milk has no grandchildren. fig has no grandchildren. effectiveness has no grandchildren but has 5 children: finger, strategy, pineapple, resilience, and terminal. sparkle has no grandchildren. sugar has no grandchildren. application has no grandchildren but has 2 children: device and money. island has no grandchildren but has 4 children: protocol, evaluation, remote, and presentation. diary has two children; spectrum and bee. jewel has no grandchildren. transformation has no children. correlation has no grandchildren. sequin has no children. cow has 4 children: concert, can, resource, and mosquito. statistic has no children. initiative has 5 children: charger, sand, enterprise, arrow, and yarn. education has no children. coin has 9 grandchildren: effectiveness, map, and rubber (whose parent is pepper), coconut, advantage, and hue (whose parent is puzzle), and zipper, problem, and stove (whose parent is socks). ruler has no grandchildren. poster has no children. arrow has no children. eye has 12 grandchildren: purse, sketch, drive, island, and header (whose parent is saw), blog, pen, development, and celery (whose parent is grape), and cake, application, and pumpkin (whose parent is hashtag) and 1 children: box. zipper has 3 children: notification, ladder, and plastic. relationship has no children. rug has 3 children: statistic, universe, and mushroom. universe has no children. legacy has no grandchildren. fixture has no children. doll has no children. size has no grandchildren. luster has 5 children: butter, guideline, service, tensor, and website. bee has no grandchildren. lesson has no grandchildren. avatar has two children; analysis and solution. mosquito has no grandchildren. chip has no grandchildren. database has no children. love has no children. earrings has no grandchildren. sunglasses has no children. icon has no grandchildren. gate has no children. festival has no grandchildren. editor has no children. conditioner has no grandchildren. wall has no grandchildren. chocolate has two children; concept and vehicle. rubber has 3 children: compiler, earrings, and chicken. date has two children; experience and pillow. project has two children; boat and coin. toy has 3 children: contrast, wine, and photograph. photograph has no grandchildren but has 2 children: globe and chemistry. rabbit has no grandchildren. bucket has no children. notification has no children. pill has no grandchildren. variety has no children. pumpkin has 3 children: shape, illusion, and rope. lettuce has no grandchildren. ritual has no children. development has 3 children: road, image, and voltage. variable has no grandchildren. corn has no children. password has no children. notebook has no grandchildren. rope has no children. disc has no grandchildren. keys has no grandchildren. trend has no grandchildren. problem has no grandchildren but has 5 children: cassette, topic, drum, narrative, and lock. boat has two children; glasses and toy. header has no grandchildren but has 3 children: cursor, conclusion, and wind. scissors has no grandchildren. biology has no grandchildren but has 3 children: digital, soap, and stage. history has 5 children: card, smile, prediction, eye, and event. commit has no grandchildren. dryer has no children. hate has no children. drive has no grandchildren but has 2 children: mug and badge. window has 5 children: marketing, disadvantage, fig, quantum, and airplane. ethics has no children. chicken has no grandchildren. fabric has 3 children: rabbit, cable, and object. page has no grandchildren. ecosystem has 3 children: impact, education, and politics. code has 4 children: banana, meeting, doll, and spinach. vehicle has no grandchildren. microphone has no grandchildren but has 5 children: scooter, store, sadness, train, and piano. design has no grandchildren. business has no children. yarn has no grandchildren. belt has no grandchildren. pattern has no grandchildren. pillow has no grandchildren. sheep has no grandchildren. laugh has no grandchildren. film has no grandchildren. plant has no grandchildren. stove has 3 children: tiger, lettuce, and keys. forest has no grandchildren. marketing has no grandchildren. jar has no grandchildren but has 2 children: tint and vacuum. social has no children. scarf has 4 children: widget, machine, belt, and festival. needle has 5 children: leather, page, password, scissors, and depth. pen has 5 children: plant, battery, actuator, cricket, and floor. method has no grandchildren. cable has no children. contrast has 3 children: candle, editor, and correlation. tone has no grandchildren. peach has no children. science has no grandchildren. television has two children; chair and trashcan. bottle has no grandchildren but has 5 children: tablet, book, video, suitcase, and village. solution has no children. algorithm has no children. chair has no children. zucchini has 5 children: monkey, backpack, sheep, social, and icon. optimization has 3 children: film, crown, and simplicity. ceremony has no children. candle has no grandchildren. guitar has 5 children: plate, accountability, friend, rice, and unity. giraffe has no children. thread has no grandchildren. analysis has no children. wine has 3 children: hand, texture, and ceremony. egg has two children; laugh and love. crown has no grandchildren. association has no children. objective has no children. trashcan has no children. guideline has no grandchildren. politics has no grandchildren. game has no children. medicine has no grandchildren. illusion has no children. plate has no children. corporation has no children. map has no grandchildren but has 5 children: carrot, simulation, cookie, structure, and campaign. simplicity has no grandchildren. mushroom has no grandchildren. hardware has no children. depth has no children. widget has no grandchildren. road has no grandchildren. coconut has two children; milk and dryer. horse has no grandchildren. accountability has no children. plastic has no children. food has two children; horse and transformation. object has no children. resource has no children. disk has no grandchildren but has 3 children: asparagus, instance, and trumpet. wire has no grandchildren. sketch has 5 children: wolf, ethics, objective, legacy, and forest. fridge has no children. elegance has no children. interaction has 9 grandchildren: database and juice (whose parent is mop), variety, science, and ritual (whose parent is organization), and fixture, hate, bean, and field (whose parent is eggplant). tensor has no grandchildren. tiger has no grandchildren. can has no children. disadvantage has no children. burger has no grandchildren but has 3 children: collaboration, cloth, and bag. unity has no children. event has 5 children: fork, cluster, interaction, church, and library. emotion has no grandchildren. meaning has no grandchildren. shampoo has no children. blog has two children; elegance and association. experience has no grandchildren. advantage has no grandchildren. cotton has no grandchildren. sensor has two children; wire and conditioner. celery has two children; algorithm and medicine. anchor has no grandchildren. physics has 3 children: bike, tongue, and bucket. impact has no grandchildren. spectrum has no grandchildren. cake has no grandchildren but has 2 children: culture and furniture. juice has no grandchildren. bean has no grandchildren. cricket has no grandchildren. inspiration has no children. heuristic has 4 children: method, peach, scroll, and corn. hand has no grandchildren. backpack has no children. medal has 3 children: thread, shampoo, and sunglasses. quantum has no grandchildren. screw has no children. friend has no grandchildren. belief has no grandchildren. truth has no grandchildren. threat has no grandchildren but has 5 children: advertisement, present, diversity, plan, and soda. website has no grandchildren. service has no grandchildren. actuator has no children. cluster has 5 children: date, egg, shovel, fabric, and mountain. hue has no grandchildren but has 3 children: drums, sociology, and pizza. charger has no children. fork has 11 grandchildren: variable, emotion, notebook, lesson, and business (whose parent is architecture), truth, inspiration, and jewel (whose parent is pasta), and design, avocado, and fridge (whose parent is speaker). airplane has no grandchildren. concept has no grandchildren. church has 3 children: pan, chat, and heuristic. house has no grandchildren. mountain has two children; house and commit. library has 13 grandchildren: sparkle, anchor, size, gate, and game (whose parent is memory), sugar, hardware, relationship, trend, and cotton (whose parent is song), and tone, pill, and wall (whose parent is risk) and 1 children: query. spinach has no grandchildren. smile has 15 grandchildren: luster, jar, window, and cow (whose parent is marker), microphone and code (whose parent is lake), burger, rug, chocolate, bus, and television (whose parent is foot), threat and guitar (whose parent is roof), and ticket and optimization (whose parent is radio). meeting has no children. leather has no children. prediction has 10 grandchildren: food, zucchini, and needle (whose parent is spider), diary, corporation, and bottle (whose parent is theory), and ecosystem, initiative, sensor, and disk (whose parent is appliance). pan has 4 children: disc, belief, giraffe, and meaning. shovel has 3 children: stem, pattern, and tactic. power has no children. ladder has no grandchildren. card has no children. battery has no children. wolf has no grandchildren. concert has no children. voltage has no grandchildren. rice has no grandchildren. avocado has no children. What is the cousin of the disadvantage? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:187", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a tiger. Then you move down-right for one step and see a bread. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a car. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a mug. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a grater. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a carrot. Then you don't move for a while. Then you move right for one step and see a clementine. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step and see a dog. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a knife. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move up-left for one step. Then you move up-left for one step and see a lychee. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step and see a blackberry. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step and see a can. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a bike. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a desk. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a bear. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a doll. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step and see a stone. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a shampoo. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move right for one step and see a book. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move up-right for one step and see a strawberry. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a laptop. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move down-right for one step and see a persimmon. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you move left for one step and see a fig. Then you don't move for a while. Then you move up-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a television. Then you move down-left for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:190", "request": "You have been given a diamond tile map consisting of N rows, where the first row has one diamond-shaped tile, the second row has two diamond-shaped tiles, ..., and the N-th row has N diamond-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a cranberry. Then you move down-right for one step and see a fork. Then you don't move for a while. Then you move down-right for one step and see a peanut. Then you don't move for a while. Then you move up-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you don't move for a while. Then you move down-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a blueberry. Then you move down-right for one step and see a tiger. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you don't move for a while. Then you move down-left for one step and see a clementine. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a mug. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a grape. Then you move up-right for one step and see a mango. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a watermelon. Then you don't move for a while. Then you move up-left for one step and see a tree. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step. Then you move down-left for one step and see a towel. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a potato. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a desk. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a fig. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a brush. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a soap. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step and see a cell phone. Then you move down-left for one step. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step. Then you don't move for a while. Then you move down-left for one step. Then you don't move for a while. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a printer. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then, you jump to a random vertex V where you see a kiwi. Then you move down-left for one step and see a tube. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-right for one step and see a persimmon. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a snowball. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-left for one step. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a can. Then you move down-left for one step and see a tomato. Then you move down-left for one step. Then you move up-right for one step. Then you move down-right for one step and see a pen. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a grapefrut. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a towel. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you jump back to the random vertex V and do the following moves: down-right, down-left, down-right, up-left, down-right, up-left, down-left, up-right, down-left, down-right, up-right, up-right, up-right, down-right. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:192", "request": "You have been given a tree structure with 86 nodes. trumpet and thorn are siblings. mosque has no grandchildren. prompt has no children. play has two children; augmented and snail. tablet has 4 children: coat, audio, prompt, and steak. file has no grandchildren. regression has no children. friend has no children. evolution has no children. nail has 4 children: chicken, battery, puzzle, and brush. venture has no grandchildren. freedom has no grandchildren. stamp has no grandchildren. icecream has no children. soap has 4 children: dustpan, eggplant, evolution, and stamp. present has two children; icecream and empowerment. empowerment has no grandchildren. eggplant has no children. snail has no children. coat has no grandchildren. frequency has 4 children: commit, resistance, mosque, and bird. trumpet has 14 grandchildren: soap, venture, frequency, and milk (whose parent is cat), politics, tablet, and nail (whose parent is conclusion), television and challenge (whose parent is sculpture), and dance, present, play, corn, and actuator (whose parent is signal). politics has no grandchildren but has 3 children: sugar, butterfly, and sandwich. tensor has no children. actuator has two children; conditioner and tensor. stage has no grandchildren. shine has no grandchildren. brush has no grandchildren. dustpan has no grandchildren. audio has no grandchildren. output has 5 children: emotion, dust, coin, purpose, and profile. optimization has 8 grandchildren: crab, washer, file, and stage (whose parent is paper) and lemon, deploy, innovation, and potato (whose parent is map). goose has no children. potato has no grandchildren. challenge has 4 children: architecture, interface, freedom, and regression. beauty has two children; output and sofa. steak has no children. crab has no grandchildren. emotion has no grandchildren. lemon has no grandchildren. puzzle has no grandchildren. profile has no children. corn has no grandchildren but has 4 children: sunglasses, curtain, squash, and melon. chicken has no grandchildren. deploy has no grandchildren. purpose has no grandchildren. milk has no grandchildren but has 3 children: video, movement, and ticket. skateboard has no grandchildren. television has no grandchildren but has 4 children: webpage, pen, message, and lace. commit has no children. coin has no children. sofa has 4 children: friend, shine, skateboard, and glitter. interface has no grandchildren. architecture has no children. glitter has no grandchildren. bird has no grandchildren. conditioner has no grandchildren. thorn has two children; beauty and optimization. improvement has no grandchildren. innovation has no children. dust has no grandchildren. washer has no children. resistance has no children. dance has two children; goose and improvement. augmented has no children. battery has no children. What is the cousin of the sugar? Your final answer must be only the object name (e.g., laptop). If there are multiple objects, provide them as a comma-separated list in alphabetical order (e.g., laptop, mug). Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:196", "request": "You have been given a circular path consisting of 12 connected dots. At the start, you are positioned on the dot that is located at the top of the path, where you find a toy terrier. Moving in a clockwise direction from the toy terrier, the elements on the path are a whistle, a shoji, a koala, a hay, a kingsnake, a toy store, a mask, an obelisk, a Saluki, a Toy Poodle, and a damselfly. Starting from the koala, you move around the ring by 3 steps in a counter-clockwise direction, and you move around the ring by 3 steps in a counter-clockwise direction, and you move around the ring by 1 step in a counter-clockwise direction, and you move around the ring by 4 steps in a clockwise direction. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:spatial_reasoning:198", "request": "You have been given an equilateral triangular tile map consisting of N rows, where the first row has one tile, the second row has three tiles, ..., and the N-th row has 2*N-1 triangle-shaped tiles. There is a unique object placed at each vertex. Starting from a vertex, you will move along the edges of these tiles and see the object at each vertex. You are initially at the top corner where you see a bear. Then you move down-right for one step and see a rug. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a grapefrut. Then you move down-left for one step and see a tube. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-right for one step and see a printer. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-left for one step and see a backpack. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move up-left for one step and see a knife. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-left for one step and see a tomato. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-right for one step and see a crib. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move down-right for one step and see a kiwi. Then you move left for one step and see a fox. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a clementine. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move up-right for one step and see a towel. Then you don't move for a while. Then you move down-left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a bread. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a pomegranate. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move right for one step. Then you don't move for a while. Then you move down-left for one step and see a fig. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move down-left for one step and see a toy. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move right for one step and see a plum. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move up-right for one step. Then you move up-right for one step. Then you move up-left for one step and see a laptop. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for two steps. Then you move left for one step and see a pencil. Then you move down-left for one step. Then you move up-right for one step. Then, you jump to a random vertex V where you see a pie. Then you move down-left for one step and see a cucumber. Then you move down-right for one step. Then you move down-right for one step. Then you move down-right for one step. Then you move up-left for three steps. Then you move up-right for one step. Then you move down-left for one step. Then you move down-left for one step. Then you move right for two steps. Then you move up-left for one step. Then you move left for one step. Then you move down-right for one step and see a snake. Then you move down-left for one step. Then you move up-right for one step. Then you move left for one step and see a bike. Then you don't move for a while. Then you move down-left for one step and see a cranberry. Then you move down-left for one step and see a doll. Then you move down-left for one step. Then you move down-right for one step. Then you move up-right for one step. Then you move up-left for one step. Then you move down-left for one step and see a stone. Then you move up-left for one step and see a car. Then you move down-left for two steps. Then you move up-right for one step. Then you move up-right for one step. Then you move down-left for one step and see a plum. Then you move down-left for one step. Then you move right for one step. Then you move up-left for one step. Then you jump back to the random vertex V and do the following moves: up-left, down-left, down-left, right, up-right, down-right, down-left, down-left, left, down-right, up-right, left, right, up-right, up-left, left, right, down-left, left. What will you find? Your final answer must be only the object name (e.g., laptop). If you have not previously seen the object at the vertex, your final answer must be \"unknown\".", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:001", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How would the enforcement of penalties be affected if a defensive player commits a holding penalty on a wide receiver during a successful Hail Mary pass on the last play of the fourth quarter where the offense is trailing by four points, but the offense had previously committed a false start that was unobserved by the officials? A) The game would end with the offense being awarded a touchdown due to the defensive holding penalty. B) The defense would be penalized, but the touchdown would be negated due to the previous unobserved false start. C) Both penalties would offset and the offense would be given one untimed down to replay the final play. D) The defense would accept the result of the play, and the game would end without acknowledging the false start.\nSub-Question 1: In American football, what is the usual consequence of a defensive holding penalty that occurs during a successful pass play? A) The offense is awarded the yardage gained plus a 5-yard penalty and an automatic first down. B) The defense is penalized half the distance to the goal line, but no automatic first down is awarded. C) The offense is awarded a 10-yard penalty and an automatic first down. D) The play is nullified, and the offense is awarded a 5-yard penalty with a replay of the down.\nSub-Question 2: According to the rules, how are unobserved penalties typically handled if discovered after a play has concluded? A) They are enforced if they are reviewable under the instant replay system. B) They are disregarded since they were not called during the play. C) They result in a fine or disciplinary action against the officials after the game. D) They can lead to a replay of the down if the opposing coach challenges the play.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:003", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which type of visor is allowed in a professional American football helmet during official NFL games, considering the regulations regarding the material's transparency and the league's approved list of equipment providers? A) A tinted visor from a non-approved equipment provider. B) A clear visor produced by an NFL-approved equipment provider. C) A reflective visor that has been certified by the player's optometrist. D) A polarized visor designed for high-contrast visibility.\nSub-Question 1: Which characteristic is mandated by the NFL for helmet visors used during official games? A) They must be polarized. B) They must be tinted. C) They must be clear. D) They must be reflective.\nSub-Question 2: Who is eligible to approve American football equipment providers for the NFL? A) The team's head coach. B) The NFL Equipment Manager's office. C) The player's personal trainer. D) The American Football Coaches Association.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:004", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the implementation of Replay Officials in American Football affect the decision-making process during critical game situations where both a potential scoring play and a player safety concern occur simultaneously? A) It allows for real-time decision-making without game interruption. B) It provides a post-play review system that prioritizes player safety over scoring validation. C) It creates a hierarchical review process where scoring plays are reviewed before player safety concerns. D) It integrates a simultaneous review protocol for both scoring plays and player safety concerns.\nSub-Question 1: How do the Replay Officials determine the priority of review when a scoring play is challenged at the same time as a potential safety violation is identified? A) The scoring play is automatically reviewed first. B) The potential safety violation is automatically reviewed first. C) A predetermined protocol defines the order of review based on the game clock. D) The referees decide the order of review on a case-by-case basis.\nSub-Question 2: In the event of a simultaneous review of a scoring play and a safety concern, how do the Replay Officials ensure that the final decision does not overlook any critical aspect of the play? A) It allows for separate officials to review each aspect independently. B) It mandates a single official to review both aspects sequentially. C) It requires a consensus among all officials after a joint review. D) It provides additional review time exclusively for player safety analysis.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:005", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: During a critical NFL game, the quarterback of the home team throws a pass on a fourth-and-long situation late in the fourth quarter. The wide receiver catches the ball and is immediately tackled. One referee signals a first down, but another throws a flag for offensive pass interference. The instant replay shows that the receiver and the defender were in contact before the ball arrived. Which of the following outcomes is most consistent with the NFL rules regarding pass interference and spot of enforcement? A) The penalty is accepted, the pass is deemed incomplete, and the offensive team is penalized with a loss of down. B) The penalty is declined, the pass is deemed complete, and the offensive team is awarded a first down. C) The penalty is accepted, the pass is deemed complete, but the offensive team is penalized 10 yards from the previous spot and repeats the down. D) The penalty is accepted, the pass is deemed complete, but the offensive team is penalized 10 yards from the spot of the foul and loses the down.\nSub-Question 1: Which NFL rule defines the enforcement of penalties for offensive pass interference? A) Rule 8, Section 5, Article 2 B) Rule 7, Section 5, Article 2 C) Rule 6, Section 3, Article 1 D) Rule 9, Section 4, Article 6\nSub-Question 2: If a penalty for offensive pass interference is accepted, what is the consequence regarding the down? A) The down is replayed with no changes. B) The down is considered complete, and the team moves to the next down. C) The down is replayed, and the offensive team is penalized with a loss of distance. D) The down is considered complete, and the offensive team loses the down.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:007", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: During an NFL game, a wide receiver from Team A was running a route into the end zone when a defender from Team B made contact. The contact occurred simultaneously with a flag being thrown on the opposite side of the field. What infraction most likely caused the game officials to throw the flag, considering the position of the players and the timing of the events? A) Offside by Team A's defensive player B) Pass interference by Team B's defender C) Illegal formation by Team A D) Holding by Team B's offensive lineman\nSub-Question 1: If the contact between the wide receiver and the defender was deemed legal, which of the following is the most likely reason for the legality of the contact? A) The contact occurred within five yards of the line of scrimmage B) The ball was already touched by another player C) The defender was playing the ball rather than the receiver D) The wide receiver initiated the contact\nSub-Question 2: Assuming that the flag thrown on the opposite side of the field was for a separate infraction by Team B, which of the following infractions could it have been given the simultaneous timing of the events? A) Encroachment by Team B's defensive lineman B) False start by Team B's wide receiver C) Delay of game due to Team B's quarterback D) Illegal use of hands by Team B's safety\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:012", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: During an NFL game, if a defensive player commits a holding foul on a receiver who is on the opposite side of the field from where a touchdown pass is completed, which of the following is the most likely outcome according to the NFL rules? A) The touchdown is nullified, and the offensive team is awarded a first down. B) The defensive team is penalized, but the touchdown stands. C) The offensive team can choose to decline the penalty and accept the touchdown. D) The game is paused for an official review to determine if the foul impacted the play.\nSub-Question 1: If a holding foul is committed by the defense during a pass play, but the foul occurs away from the actual play, what option does the offensive team have regarding the penalty? A) They must accept the penalty and forgo the play's results. B) They can decline the penalty and accept the play's results. C) They have no choice, and the penalty is automatically enforced. D) The play is replayed without any penalty enforcement.\nSub-Question 2: When a touchdown is scored on a play where a defensive foul occurred, which of the following factors determines whether the touchdown is upheld or nullified? A) The position of the player who committed the foul. B) The timing of the foul in relation to the pass being thrown. C) The head referee's discretion after a team challenge. D) Whether the foul had a direct impact on the scoring play.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:013", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might the offensive coordinator of an American football team decide to increase the frequency of running plays during the second half of a game when the team is already leading by a significant margin? A) To test the endurance of the running backs B) To control the game clock and minimize risk C) To provide more opportunities for wide receivers D) To confuse the opposing defense for future games\nSub-Question 1: Why is controlling the game clock an important strategy for a team that is leading? A) To allow the defense more time to rest B) To give the team a better chance to score more points C) To reduce the amount of time the opposing team has to catch up D) To ensure the game ends in a tie\nSub-Question 2: Why might minimizing risk be a priority for an offensive coordinator in the scenario described? A) To prevent injuries to key players B) To try out new, untested plays C) To impress the team's fans D) To increase the team's statistical averages\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:016", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\n**Main Question:** Which penalties might be called in a situation where, during a third-down play, the defensive team's linebacker is seen grabbing the face mask of the quarterback after the quarterback has already thrown the ball, and simultaneously, an offensive lineman is caught holding a defensive tackle? A) Roughing the passer B) Face mask C) Holding D) Illegal use of hands **Sub-Question 1:** Which penalties relate to personal fouls that involve contact with the helmet or face mask? A) Roughing the passer B) Face mask C) Unnecessary roughness D) Personal foul **Sub-Question 2:** Which penalties are associated with illegal actions by the offensive team that can prevent a sack? A) Holding B) False start C) Illegal use of hands D) Tripping\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:018", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the combination of helmet certification standards and visor tint regulations affect player equipment compliance in American football during officially sanctioned games? A) The helmet must meet NOCSAE standards and have a visible certification sticker. B) Visors must be clear to allow for medical personnel to see a player's eyes without removal. C) Visors can have a light tint as long as they are not reflective. D) Helmets must be reconditioned every year to maintain the NOCSAE certification.\nSub-Question 1: How do helmet certification requirements influence player safety and equipment checks prior to an American football game? A) Players must present their helmets for a safety check by officials before the game. B) Helmets without a visible NOCSAE certification sticker are not permitted. C) Helmets can be any model as long as they are less than 10 years old. D) Players are responsible for ensuring their helmets are NOCSAE certified.\nSub-Question 2: How do visor regulations impact player vision and safety during gameplay in American football? A) Visors must be made of shatterproof material to be approved for use. B) Any visor tint is allowed as long as the player has a medical exemption. C) Reflective visors are permitted during night games for better visibility. D) Clear visors are mandatory unless a documented medical condition necessitates a tinted visor.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:020", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How might a referee determine whether to overturn a call of a completed pass at the sideline if a challenge is initiated, considering the receiver's control of the ball, both feet in bounds, and no foul play involved? A) The receiver had control of the ball through the entire process of the catch. B) The receiver had both feet in bounds when the catch was made. C) The receiver was not forced out of bounds by a defender before making the catch. D) The receiver did not step out of bounds prior to making the catch.\nSub-Question 1: How can a referee ascertain if the receiver had control of the ball through the entire process of the catch? A) The receiver maintained possession when hitting the ground. B) The ball did not touch the ground before the receiver had control. C) The receiver performed a football move, such as taking a step or extending the ball. D) The receiver had the ball in his hands for a few seconds while being tackled.\nSub-Question 2: How does a referee confirm that the receiver had both feet in bounds when the catch was made? A) The receiver's first foot landed in bounds and the second foot did not touch the white sideline. B) The receiver's second foot tapped in bounds while maintaining control of the ball. C) The receiver's feet were dragging along the ground in bounds as the catch was secured. D) The receiver's body landed in bounds after the feet.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:021", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What happens when a defensive player intercepts the ball in their own end zone and is subsequently tackled in the end zone, but a holding penalty is called on the offensive team during the interception? A) The defensive team is awarded two points for a safety. B) The defensive team starts their possession from their own 20-yard line. C) The defensive team declines the penalty and takes possession at the spot of the tackle. D) The play is nullified, and the offensive team retains possession with a 10-yard penalty.\nSub-Question 1: What are the outcomes if a player intercepts the ball in their own end zone and decides to take a knee? A) The play results in a touchback, and the ball is placed on the 20-yard line. B) The intercepting team is awarded two points for a safety. C) The intercepting team starts their next drive from the spot of the kneel. D) The game clock stops until the next snap.\nSub-Question 2: When is a team awarded a safety? A) When an offensive player is tackled with the ball in their own end zone. B) When a defensive player intercepts the ball and is tackled in their own end zone without leaving it. C) When the ball goes out of bounds behind the offensive team's goal line due to their action. D) When an offensive penalty is enforced in their own end zone.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:023", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: During a high-stakes college football game, the head coach decides to implement a strategy that involves frequent substitutions to keep players fresh and to confuse the opposition. Given the constraints of the game, which of the following scenarios would be permissible and effective for supervising substitutions without violating any substitution rules? A) Substituting a player who has been on the field for at least one play with a player who has been on the sidelines for the same amount of time. B) Making a double substitution after a timeout where both players have not participated in the previous play. C) Substituting two players simultaneously while the ball is in play, provided that they both come from the same positional group. D) Conducting a substitution for a player who has just participated in a play, with another who has been sitting out for a series of downs.\nSub-Question 1: Considering the rules around substitutions in American football, which scenarios ensure that the incoming players are eligible to participate in the next play? A) A player who has sat out for at least one play enters the field while the ball is dead and communicates with the referee. B) A player who was substituted out in the previous play re-enters the game during the same possession without any stoppage in play. C) An incoming player enters the field from the team's sideline after the previous play has ended and before the next snap. D) A player swaps positions with a teammate on the field without leaving the playing area and then participates in the next play.\nSub-Question 2: In order to maintain strategic flexibility and adherence to substitution rules, which of the following approaches should a coach take when planning substitutions? A) Designate specific substitution packages for different game situations and communicate these to players ahead of time. B) Allow players to decide when they need to be substituted based on their fatigue levels without any pre-established plan. C) Implement a signal system for substitutions that is understood by all players and can be executed swiftly during stoppages in play. D) Rely on random substitution patterns to prevent the opposing team from predicting the team's strategy.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:024", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the position of the player's body in relation to the boundary lines affect the ruling when a player catches the ball while in the air and lands out of bounds, considering both the player's contact with the ball and the boundary lines before and after becoming airborne? A) It is ruled a complete pass if any part of the player's body touches in bounds upon landing, regardless of where the ball was touched in the air. B) It is ruled a complete pass only if the player had control of the ball and both feet or any part of his body other than his hands touched in bounds before he went out of bounds. C) It is ruled an incomplete pass if the player touches the boundary line or anything out of bounds before establishing control of the ball in the field of play. D) It is ruled a complete pass if the player establishes control of the ball in the air and lands with at least one foot in bounds, even if the other foot lands out of bounds first.\nSub-Question 1: How is a catch defined when a player is attempting to make a reception near the sideline? A) A catch is defined by the player maintaining control of the ball throughout the process of contacting the ground in bounds. B) A catch is defined by the player having control of the ball and touching the ground with both feet or any part of the body other than the hands. C) A catch is defined by the player having control of the ball while only one foot is in bounds. D) A catch is defined by the player having control of the ball and any part of the body touching the boundary line.\nSub-Question 2: How is a player's status determined when he goes airborne near the end zone boundary? A) A player is considered in the end zone if he controls the ball and touches the pylon while airborne. B) A player is considered out of bounds if any part of his body touches the boundary line before he secures the ball. C) A player is considered in the end zone if any part of his body lands in bounds after securing the ball in the air. D) A player is considered out of bounds if he first touches the ground out of bounds, regardless of where the ball is secured.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:025", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: During a critical fourth quarter play in an American football game, the quarterback throws a pass to a receiver near the sideline at the opposing team's 30-yard line. As the receiver attempts to secure the ball, a defender makes contact with him. The receiver manages to keep both feet in bounds but falls to the ground as he catches the ball. The on-field officials rule it a complete pass, but the opposing coach challenges the call. What factors will the replay official consider to confirm or overturn the call of a complete pass? A) Did the receiver have control of the ball before stepping out of bounds? B) Did the receiver maintain control of the ball after making contact with the ground? C) Was the contact by the defender initiated before the ball arrived? D) Was the receiver able to perform a football move or maintain control of the ball for a reasonable amount of time?\nSub-Question 1: What constitutes a player having control of the football during a catch? A) The player has the ball firmly in their grasp. B) The ball touches the ground but the player maintains control. C) The player has the ball long enough to become a runner. D) The player maintains control of the ball after any subsequent contact with the ground.\nSub-Question 2: What are the requirements for a legal catch if a player goes to the ground during the process of making the catch? A) The player must maintain control of the ball while touching the ground. B) The player must have both feet or any other part of the body, other than the hands, in bounds. C) The player must maintain control of the ball after any subsequent contact with the ground. D) The player must have the ball long enough to perform an act common to the game.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:030", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which basketball player improved the most in terms of scoring average from the 2019-2020 season to the 2020-2021 season, given that Player A increased his average by 5 points, Player B increased his average by 7 points, Player C increased his average by 6 points, and Player D had the same average in both seasons? A. Player A B. Player B C. Player C D. Player D \nSub-Question 1: Who had the highest increase in scoring average between the 2019-2020 season and the 2020-2021 season? A. Player A B. Player B C. Player C D. Player D \nSub-Question 2: Which player had no change in their scoring average between the 2019-2020 season and the 2020-2021 season? A. Player A B. Player B C. Player C D. Player D\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:031", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why did Coach John protest the technical foul called on his player in the 4th quarter of the basketball game between Team A and Team B, when considering the specific rules of the game and the player's prior behavior? A) Coach John believed the referee was biased B) Coach John thought the technical foul was wrongly called C) Coach John was trying to intimidate the referee D) Coach John wanted to cause a distraction to break Team B's momentum \nSub-Question 1: What rule in the basketball game could have led to the technical foul called on the player from Team A in the 4th quarter? A) The player intentionally fouled an opponent B) The player disrespected the referee C) The player committed a travelling violation D) The player double-dribbled the ball \nSub-Question 2: What was the player's behavior prior to the technical foul that could have influenced Coach John's protest? A) The player had a previous warning for disrespecting the referee B) The player had committed a similar technical foul in a previous game C) The player was the leading scorer for Team A D) The player was known to have a calm demeanor and rarely got into disputes\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:034", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How can the concept of \"mental toughness\" in basketball be linked with the performance of a player in high-pressure situations and the player's ability to maintain concentration during the game? A) Mental toughness does not influence a player's performance in high-pressure situations or his/her ability to maintain concentration during the game. B) Mental toughness influences a player's performance in high-pressure situations but not his/her ability to maintain concentration during the game. C) Mental toughness influences a player's ability to maintain concentration during the game but not his/her performance in high-pressure situations. D) Mental toughness influences both a player's performance in high-pressure situations and his/her ability to maintain concentration during the game. \nSub-Question 1: What is the relationship between a basketball player's mental toughness and his/her performance in high-pressure situations? A) There is no relationship between a basketball player's mental toughness and his/her performance in high-pressure situations. B) A basketball player's mental toughness negatively impacts his/her performance in high-pressure situations. C) A basketball player's mental toughness positively impacts his/her performance in high-pressure situations. D) The relationship between a basketball player's mental toughness and his/her performance in high-pressure situations varies from player to player. \nSub-Question 2: How does a basketball player's mental toughness affect his/her ability to maintain concentration during the game? A) A basketball player's mental toughness does not affect his/her ability to maintain concentration during the game. B) A basketball player's mental toughness negatively affects his/her ability to maintain concentration during the game. C) A basketball player's mental toughness positively affects his/her ability to maintain concentration during the game. D) The effect of a basketball player's mental toughness on his/her ability to maintain concentration during the game varies from player to player.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:037", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How would the total time for a basketball game be affected if the duration of each quarter was increased by 5 minutes, given that each quarter usually lasts 12 minutes and there are 15-minute halftime breaks and 2-minute breaks between first and second quarters and between third and fourth quarters? A. The total time would increase by 20 minutes. B. The total time would increase by 30 minutes. C. The total time would increase by 40 minutes. D. The total time would increase by 50 minutes. \nSub-Question 1: How long does a standard basketball game last, excluding overtime, considering each quarter is 12 minutes long, there is a 15-minute halftime break and 2-minute breaks between the first and second quarters and between the third and fourth quarters? A. 48 minutes. B. 58 minutes. C. 69 minutes. D. 78 minutes. \nSub-Question 2: If the duration of each quarter was increased by 5 minutes, how long would the actual playtime be? A. 58 minutes. B. 68 minutes. C. 78 minutes. D. 88 minutes.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:038", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What would be the outcome in a basketball match if Team A scored 3 points during the first overtime, Team B scored 4 points during the first overtime, and in the second overtime, Team A scored 2 points before the time ended prematurely due to a power outage? A. The game would be declared a draw. B. Team B would be declared the winner since they scored more points in the first overtime. C. The game would continue at a later date from where it left off. D. Team A would be declared the winner since they scored the last points. \nSub-Question 1: What is the basic rule if an overtime period ends with a tie in a basketball game? A. The game is declared a draw. B. The team that scored the last point wins. C. Another overtime period is played. D. The team that scored the first point wins. \nSub-Question 2: What is the standard procedure when a basketball game is interrupted due to reasons beyond control, like a power outage? A. The game is declared a draw. B. The game continues from where it left off at a later date. C. The team with the higher score at the time of interruption is declared the winner. D. The game is replayed from the beginning.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:041", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following actions should a basketball coach take when an unexpected situation occurs during a game, such as a player injury or a court issue, given that the home team is leading by a small margin, there are 5 minutes left, and the injured player is the team's top scorer? A. Substituting the injured player with the least experienced player. B. Pausing the game to fix the court issue without addressing the injured player. C. Substituting the injured player with a similarly positioned player and addressing the court issue during the pause. D. Ignoring the injury and court issue and continuing the game. \nSub-Question 1: Considering the player's position and contribution to the team, which player should the coach substitute the injured player with? A. The least experienced player. B. The most defensive player. C. A similarly positioned player. D. The player with the lowest scoring average. \nSub-Question 2: Given the situation, what should the coach do about the court issue? A. Ignore the court issue and continue the game. B. Pause the game to fix the court issue. C. Request to move the game to a different court. D. Allow the players to fix the court issue themselves.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:043", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the number of players in a basketball team and the number of substitutes impact the overall game strategy, considering that a standard basketball team comprises 5 players and a professional team can have up to 13 players (including substitutes)? A. The number of players and substitutes has no impact on the game strategy. B. Having more substitutes allows a team to maintain an aggressive playing style without worrying about player fatigue. C. The number of players in a team determines the number of substitutes. D. A team with more players has a disadvantage as it is harder to coordinate. \nSub-Question 1: What is the standard number of players in a basketball team during a game? A. 10 B. 13 C. 5 D. 7 \nSub-Question 2: Considering a professional basketball team, how many substitutes can a team have? A. 5 B. 8 C. 10 D. 13\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:044", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a basketball match, if a player from Team A last touches the ball before it goes out of bounds, but the player was pushed by a player from Team B which was unnoticed by the referees, which team should ideally get the possession of the ball, considering the official rules and the ethical aspects of the game? A. Team A B. Team B C. The decision should be made by the referees D. The decision should be made by the team captains \nSub-Question 1: According to the official basketball rules, which team gets the possession of the ball when the player who last touches the ball before it goes out of bounds was from Team A? A. Team A B. Team B C. The team that did not touch the ball last D. The team that touched the ball last \nSub-Question 2: If the referees do not notice a foul, what is the general course of action followed according to the official rules of basketball? A. The game continues without acknowledging the foul B. The foul is acknowledged after reviewing the game footage C. The game is stopped until the foul is acknowledged D. The foul is acknowledged based on the claims of the players\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:045", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a basketball game where Team A is leading by 10 points with 5 minutes left, what strategies should Team B employ to attempt a comeback and what techniques should they focus on to effectively implement these strategies? A) Increase defensive pressure and emphasize on three-point shooting B) Slow down the game pace and focus on free throws C) Implement full-court press and focus on stealing and fast breaks D) Focus on inside scoring and drawing fouls \nSub-Question 1: Considering the need to increase points quickly, why might focusing on three-point shooting and stealing be beneficial for Team B? A) Three-point shooting can close the gap faster and stealing prevents Team A from scoring B) Three-point shooting allows for safer shots and stealing slows down the game C) Three-point shooting can demoralize Team A and stealing can cause Team A to foul D) Three-point shooting can tire out Team B and stealing can lead to easy points for Team A \nSub-Question 2: In the context of slowing down the game pace, why could focusing on free throws and drawing fouls potentially aid Team B's comeback attempt? A) Free throws can increase points without time running and drawing fouls stops the game clock B) Free throws can tire out Team A and drawing fouls can lead to ejections C) Free throws can create opportunities for offensive rebounds and drawing fouls can intimidate Team A D) Free throws can disrupt Team A's rhythm and drawing fouls can cause Team A to play conservatively Correct Answers:\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:048", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following statements are valid considerations to ensure that calls made throughout a basketball game adhere to a consistent set of standards? A) The game officials should have a thorough understanding of the rules and regulations of the sport. B) The game officials should consider the crowd's reaction before making a decision. C) The game officials should communicate effectively with each other to make collective decisions. D) The game officials should be influenced by the personal preferences of the team coaches. \nSub-Question 1: Which of the following factors are essential for a game official's understanding of the rules and regulations of the sport? A) Regular training and updates on the rules of basketball. B) Personal experience as a former basketball player. C) Understanding of the team strategies and game plans. D) Knowledge of the specific rules of other sports like baseball. \nSub-Question 2: What are the key elements for effective communication among game officials during a basketball match? A) Using standardized signals and gestures. B) Personal familiarity and rapport among the officials. C) Ability to anticipate the moves and strategies of the players. D) Understanding of the audience's expectations and mood.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:054", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How have the number of fouls and time-outs affected the performance of Team A and Team B during their last five matches, and which team utilized their resources more efficiently? A) Team A performed better due to fewer fouls and better utilization of time-outs. B) Team B performed better due to fewer fouls and better utilization of time-outs. C) Both Team A and Team B performed equally well. D) Neither Team A nor Team B utilized their resources efficiently. \nSub-Question 1: How did the number of fouls committed by Team A and Team B in their last five matches affect their overall performance? A) Team A's performance was negatively affected due to a higher number of fouls. B) Team B's performance was negatively affected due to a higher number of fouls. C) Both Team A and Team B's performance were negatively affected due to a higher number of fouls. D) Neither Team A nor Team B's performance was affected by the number of fouls. \nSub-Question 2: How did the utilization of time-outs by Team A and Team B in their last five matches affect their overall performance? A) Team A's performance improved due to better utilization of time-outs. B) Team B's performance improved due to better utilization of time-outs. C) Both Team A and Team B's performance improved due to better utilization of time-outs. D) Neither Team A nor Team B's performance was affected by the utilization of time-outs.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:056", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What measures can be taken to ensure the smooth progression of a basketball game and to avoid unnecessary interruptions? A) Implementing strict rules and regulations about fouls and violations. B) Regularly maintaining the court and equipment. C) Providing continuous training for the referees and players about the rules of the game. D) Limiting the number of timeouts allowed per team. \nSub-Question 1: What impact would implementing strict rules and regulations about fouls and violations have on the progression of a basketball game? A) It would maintain the flow of the game by discouraging intentional fouls. B) It would increase the length of the game due to frequent stoppages for foul calls. C) It would enhance the safety of the players on the court. D) It would discourage aggressive gameplay. \nSub-Question 2: How can regular maintenance of the court and equipment contribute to avoiding unnecessary interruptions during a basketball game? A) It prevents delays caused by equipment malfunction or unsafe court conditions. B) It provides a consistent playing surface, reducing the risk of injuries. C) It has no impact on the progression of the game. D) It enhances the aesthetics of the game, attracting more viewers.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:058", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In an intense basketball match, Player A attempts a shot but is intercepted by Player B. As a referee, based on the following scenarios, which situations would you consider to be a foul? A) Player B jumps straight up, doesn't move his hands or body towards Player A, but there's slight contact between them. B) Player B touches Player A's hand while he is in the act of shooting. C) Player B blocks Player A's path, causing Player A to lose balance but doesn't touch Player A. D) Player B jumps and makes contact with Player A in mid-air, but both were going for the ball. \nSub-Question 1: Considering the rules of basketball, which of the following actions by Player B would be considered as a legal defense? A) Player B maintains a stationary position when Player A initiates contact. B) Player B reaches in and slaps the ball out of Player A's hands. C) Player B jumps and blocks Player A's shot, making hand-to-ball contact. D) Player B pushes Player A to prevent him from shooting. \nSub-Question 2: In the context of a basketball game, which of the following situations would be considered as a block foul? A) Player B is moving when he makes contact with Player A who is in control of the ball. B) Player B is stationary, but he initiates contact with Player A. C) Player B jumps straight up and down to block Player A's shot and there's contact. D) Player B's feet are set but his upper body leans into Player A, causing contact. Correct Answers:\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:061", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why is it crucial to ensure the smooth progression of a basketball game and avoid unnecessary interruptions? A) It maintains the pace and excitement of the game. B) It allows players to maintain their momentum and focus. C) It reduces the risk of injuries. D) It ensures fair play and adherence to the rules. \nSub-Question 1: Why does maintaining the pace and excitement of the game contribute to ensuring the smooth progression of a basketball game? A) It keeps the audience engaged. B) It optimizes the broadcasting and commercial aspects of the game. C) It has no impact on the game. D) It discourages players from playing well. \nSub-Question 2: Why does allowing players to maintain their momentum and focus contribute to avoiding unnecessary interruptions in a basketball game? A) It ensures the players' performance is at its peak. B) It prevents players from losing concentration, which could lead to mistakes. C) It doesn't matter if players lose their focus. D) It encourages players to take unnecessary breaks.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:063", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Considering the different basketball leagues and the varying rules they follow, how many players are usually present in a team at the start of a match and how many substitutes are typically allowed? A) Five players in the starting lineup and seven substitutes B) Five players in the starting lineup and five substitutes C) Seven players in the starting lineup and five substitutes D) Seven players in the starting lineup and seven substitutes \nSub-Question 1: In the context of NBA and European Basketball League, how many players from each team are usually on the court at the start of the game? A) Five players from each team B) Seven players from each team C) Four players from each team D) Six players from each team \nSub-Question 2: Considering the NBA and FIBA rules, what is the usual number of allowed substitutes in a basketball game? A) Five substitutes B) Seven substitutes C) Ten substitutes D) Twelve substitutes\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:066", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following actions should a referee take to effectively communicate with basketball players and coaches when making calls and explaining decisions? A) Use clear, concise language to explain decisions. B) Use non-verbal signals to demonstrate the infraction. C) Ignore questions from players and coaches to maintain authority. D) Use a calm, assertive tone to maintain control of the situation. \nSub-Question 1: Which types of non-verbal signals can a referee use to communicate effectively with basketball players and coaches? A) Hand signals to indicate the type of foul. B) Facial expressions to show disapproval of a player's actions. C) Ignoring the player or coach to show dominance. D) Use of the whistle to get attention and indicate a stop in play. \nSub-Question 2: What are the key elements in using verbal communication effectively as a referee in basketball games? A) Use of technical jargon only known to referees. B) Use of a loud, aggressive tone to assert authority. C) Use of clear, concise language to explain decisions. D) Use of a calm, assertive tone to maintain control of the situation.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:070", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the type of serve in volleyball influence the subsequent transition play, particularly when considering the opponents' defensive formation? A) The type of serve has no impact on the transition play, it only depends on the opponents' defensive formation. B) The type of serve directly affects the transition play and it also depends on the opponents' defensive formation. C) The type of serve indirectly affects the transition play but does not depend on the opponents' defensive formation. D) The type of serve and the opponents' defensive formation independently influence the transition play.\nSub-Question 1: How does a float serve in volleyball affect the opponents' defensive formation? A) A float serve forces the opponents to change their defensive formation. B) A float serve does not affect the opponents' defensive formation. C) A float serve can make the opponents' defensive formation unpredictable. D) A float serve can disrupt the opponents' defensive formation making it easier for the serving team to attack.\nSub-Question 2: How does a jump serve in volleyball influence the transition play? A) A jump serve can lead to a quick transition play. B) A jump serve does not influence the transition play. C) A jump serve can slow down the transition play. D) A jump serve can set the rhythm for the transition play.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:071", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following is the most effective volleyball team formation strategy, considering the rotation rules and the specific characteristics of the players in Team X, which consists of two strong attackers, one setter, and three all-around players? A) Starting with a 4-2 formation and transitioning to a 6-2 formation after the first rotation B) Maintaining a 5-1 formation throughout the game C) Starting with a 6-2 formation and transitioning to a 4-2 formation after the first rotation D) Maintaining a 6-2 formation throughout the game\nSub-Question 1: Which formation provides the best opportunity for the two strong attackers in Team X to take advantage of their offensive skills? A) 4-2 formation B) 5-1 formation C) 6-2 formation D) 3-3 formation\nSub-Question 2: Considering the rotation rules and the positioning of the setter in volleyball, which formation allows the setter in Team X to optimize their setting skills? A) 4-2 formation B) 5-1 formation C) 6-2 formation D) 3-3 formation\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:072", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the type of serve in volleyball, specifically a jump serve and a float serve, impact the offensive strategy in terms of speed, trajectory, and scoring potential, considering different skill levels and match contexts? A) A jump serve provides higher speed and scoring potential regardless of skill level and match context. B) A float serve provides unpredictable trajectory, making it more effective in all skill levels and match contexts. C) The effectiveness of a jump serve or a float serve largely depends on the skill level of the server and the specific match context. D) Neither a jump serve nor a float serve has a significant impact on the offensive strategy.\nSub-Question 1: What factors contribute to the speed and trajectory of a jump serve in indoor volleyball? A) The height of the jump and the angle of the serve. B) The strength of the server and the type of ball used. C) The position of the server on the court and the direction of the wind. D) The skill level of the server and the resistance of the net.\nSub-Question 2: In what match contexts might a float serve be a more effective offensive strategy in volleyball? A) When the opposing team has a weak defense and the server is highly skilled. B) When the server is less skilled and the opposing team has a strong defense. C) When the match is tied and the server has a high success rate with float serves. D) When the server is highly skilled and the opposing team has a weak offense.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:073", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a volleyball match, if Team A uses a \"quick set\" attack strategy where the setter quickly passes the ball to the middle blocker who then attacks, and Team B counters with a \"perimeter defense\" strategy, which of the following outcomes is most likely? A) Team A scores because the quick set is too fast for the perimeter defense. B) Team B successfully blocks the attack because the perimeter defense is designed to stop quick set attacks. C) The outcome cannot be determined based on the information provided. D) Team A scores because the perimeter defense is not effective against middle blocker attacks.\nSub-Question 1: In a \"quick set\" attack strategy, what is the main role of the setter? A) To attack the ball directly over the net. B) To quickly pass the ball to the middle blocker for an attack. C) To defend against the opposing team's attacks. D) To serve the ball to start the play.\nSub-Question 2: What is the primary purpose of a \"perimeter defense\" strategy in volleyball? A) To block quick set attacks. B) To protect the boundaries of the court against attacks with two blockers. C) To focus on attacking rather than defending. D) To serve the ball to start the play.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:074", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What is the consequence of a volleyball player committing a rotational fault in a match? A) The player is ejected from the game. B) The player is given a yellow card. C) The opposing team is awarded a point. D) The player's team is awarded a point. \nSub-Question 1: What is a rotational fault in volleyball? A) When a player touches the net while the ball is in play. B) When a player steps on the service line while serving. C) When a player rotates positions out of turn. D) When a player hits the ball twice consecutively. \nSub-Question 2: Who is responsible for detecting rotational faults in a volleyball game? A) The coach of the team committing the fault. B) The players of the opposing team. C) The referee. D) The spectators.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:080", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the specific movement pattern of a volleyball player, considering their role and the ongoing play, influence the camera angle to ensure the best view of the action? A) The movement pattern does not influence the camera angle. B) The movement pattern, combined with the player's role, can guide the camera angle to capture the most dynamic actions. C) The camera angle is determined solely by the player's role, regardless of their movement pattern. D) The camera angle is decided randomly irrespective of the player's movement pattern or role.\nSub-Question 1: How does the role of a volleyball player affect their movement patterns during a game? A) The role of a player doesn't affect their movement patterns. B) Defenders usually stay at the back of the court, while attackers move towards the net. C) All players follow the same movement pattern regardless of their role. D) The role of a player only affects their movement pattern during the initial serve.\nSub-Question 2: How does the ongoing play influence the movement patterns of a volleyball player? A) The ongoing play does not affect a player's movement pattern. B) The ongoing play affects the movement pattern as players need to react to the ball's trajectory. C) The ongoing play only influences the movement pattern of the player who served the ball. D) The ongoing play affects the movement pattern only during the final point of the match.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:081", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How did Jennifer's team win the volleyball match despite being behind in the first two sets? A) They won by default as the opposing team got disqualified. B) They changed their team strategy and made a comeback in the next three sets. C) The match was cancelled due to bad weather. D) Jennifer's team lost the match.\nSub-Question 1: What was the strategy change that Jennifer's team implemented in the third set? A) They started using a 4-2 formation instead of a 6-2. B) They substituted Jennifer with a more experienced player. C) They started serving from the left side of the court instead of the right. D) They started focusing more on offensive plays than defensive.\nSub-Question 2: How did this strategy change affect the performance of Jennifer's team in the final three sets? A) It allowed them to score more points through successful attacks. B) It weakened their defense, leading to the opposing team scoring more points. C) It didn't have any significant impact on their performance. D) It led to a decrease in the team's morale.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:082", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How might a volleyball team adjust their strategy to counter an opponent with a strong middle blocker and a weak outside hitter, considering the team's current strengths in serving and setting? A) Increase the frequency of back row attacks B) Focus more on serving to the weak outside hitter C) Change the team's formation to a 6-2 setup D) Implement a quick set strategy to bypass the strong middle blocker \nSub-Question 1: How can a volleyball team exploit an opponent's weak outside hitter? A) By targeting serves to the weak outside hitter B) By avoiding the weak outside hitter during attacks C) By setting up a strong block against the weak outside hitter D) By forcing the weak outside hitter to receive more often\nSub-Question 2: How can a volleyball team utilize a strong serving and setting strength to bypass a strong middle blocker? A) By implementing a quick set strategy B) By increasing the frequency of back row attacks C) By changing the team's formation to a 6-2 setup D) By focusing more on serving to the weak outside hitter\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:084", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a volleyball setter decide to set the ball to the outside hitter instead of the middle blocker during an offensive play? A) The outside hitter has a better hitting percentage. B) The middle blocker is not in a good position. C) The opposing team's best blocker is positioned against the middle blocker. D) The setter is not in a good position to set the ball to the middle. \nSub-Question 1: Why might the outside hitter's hitting percentage influence the setter's decision? A) A higher hitting percentage indicates a more reliable hitter. B) A lower hitting percentage might discourage the setter from setting to the outside. C) A higher hitting percentage can confuse the opposing team's blockers. D) A lower hitting percentage can attract more blocking attention from the opposing team. \nSub-Question 2: Why would the position of the opposing team's best blocker affect the setter's decision? A) The setter wants to avoid setting the ball where the best blocker is positioned. B) The setter might want to challenge the best blocker with their strongest hitter. C) The setter could use the position of the best blocker to misdirect the opposing team. D) The setter might ignore the position of the best blocker if they have confidence in their hitters.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:087", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why are specific positioning and movement patterns crucial for ensuring the best view of the action during a volleyball game? A) They allow the referee to see both teams' actions clearly. B) They facilitate better strategic planning by the coach. C) They help in capturing high-quality footage for broadcasting. D) They ensure safety by preventing collisions between players. \nSub-Question 1: Why are rotational movement patterns essential during a volleyball game? A) They ensure each player gets a chance to serve. B) They help in confusing the opponent's team. C) They allow each player to play in all positions, enhancing their skills in low or amateur level. D) They ensure equal distribution of physical exertion among players.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:088", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following scenarios would correctly apply to a volleyball match where Team A is leading in the final set, and Team B has just called for their second timeout of the set? A) Team A can call for a timeout immediately after Team B's timeout ends. B) Team B can call for another timeout after their current timeout ends. C) The referee can allow a technical timeout after Team B's timeout if the total points scored by both teams add up to 20. D) Team A can substitute a player during Team B's timeout. \nSub-Question 1: Considering the rule of timeouts in volleyball, which of the following scenarios could be possible if Team A already used their two timeouts in the final set? A) Team A can call for a timeout if the total points scored by both teams add up to 20. B) Team A can call for a timeout if there is an injury to one of their players. C) Team A cannot call for any more timeouts in this set. D) Team A can call for a timeout if they have a substitution. \nSub-Question 2: If Team B has just called their second timeout in the final set, which of the following scenarios regarding the continuation of the match are correct? A) The match resumes immediately after Team B's timeout ends. B) The referee can allow a technical timeout if the total points scored by both teams add up to 21. C) Team B can call another timeout if one of their players gets injured. D) The match will only resume after a mandatory 2-minute break following Team B's timeout.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:090", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following strategies would be most advantageous to implement when your volleyball team is trailing by a few points towards the end of the match and needs to make a comeback? A) Increasing the frequency of powerful spikes to put pressure on the opponent's defense. B) Focusing on service aces to gain quick points. C) Implementing a more defensive strategy to prevent the opponent from scoring. D) Substituting a key player to give rest. \nSub-Question 1: Regarding the implementation of a more defensive strategy, which of the following should the team primarily focus on? A) Blocking the opponent's spikes. B) Improving digging abilities to keep the ball in play. C) Covering the back court to defend against long shots. D) Concentrating on the opponent's key attacker. \nSub-Question 2: Considering the strategy of focusing on service aces, which of the following elements should be considered? A) Serving the ball towards the weaker receiver. B) Serving the ball with high velocity. C) Serving the ball with unpredictable spin. D) Serving the ball to the corners of the court.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:091", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following actions, if committed by a volleyball player during a match, would be considered a violation of player conduct rules, according to the Federation Internationale de Volleyball (FIVB) Official Volleyball Rules? A) A player taunts the opposing team after scoring a point. B) A player intentionally hits the ball towards an opponent with excessive force. C) A player communicates with the coach using hand signals while the game is in progress. D) A player argues with the referee over a decision. \nSub-Question 1: Which of the following actions would be considered as unsportsmanlike conduct under the FIVB rules? A) A player refusing to shake hands with the opposing team after the match. B) A player stepping on the boundary line while serving. C) A player showing a sign of frustration after missing a point. D) A player celebrating after scoring a point. \nSub-Question 2: According to the FIVB rules, which of the following actions by a player would lead to sanctions? A) A player using abusive language towards an official. B) A player rolling the ball under the net to the other team after a rally. C) A player wearing a different colored jersey from the rest of the team. D) A player taking a brief pause for water during a timeout.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:094", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a volleyball team prefer to use jump serves and float serves as their primary offensive strategies during a match? A) Jump serves and float serves are the easiest to execute B) Jump serves generate high speed and float serves are unpredictable in trajectory, posing challenges for the receiving team C) Jump serves and float serves require less physical exertion D) All serving strategies are equally effective, it doesn't matter which one is used \nSub-Question 1: Why would a team decide to use a jump serve during a crucial point in the match? A) Jump serves are effective in surprising the opponent B) Jump serves generate high speed and are difficult to return C) Jump serves are easy to execute and require less skill D) Jump serves can be easily countered by the opposing team \nSub-Question 2: Why might a float serve be an effective strategy against a team with strong receivers? A) Float serves are easy to execute and require less skill B) Float serves are predictable and easy to return C) Float serves' unpredictable trajectory can confuse even the best receivers D) Float serves generate high speed and are difficult to return\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:095", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How can a volleyball player effectively block an opponent's spike, considering both the technical aspects of blocking and the strategic positioning on the court? A) By jumping straight up and down, keeping the hands wide apart and aiming to touch the ball with the fingertips B) By maintaining a position close to the net and timing the jump to coincide with the opponent's spike, while keeping the hands close together to cover a specific area of the net C) By positioning themselves in a way that they can react quickly to the direction of the spike, while keeping their hands high and wide to cover a larger area of the net D) By timing their jump to block the ball before it crosses the net, while positioning themselves based on the opponent's body language and approach to the net \nSub-Question 1: What are some of the key technical aspects a player needs to consider to effectively block an opponent's spike in volleyball? A) The player needs to jump straight up and down, keeping their hands wide apart B) The player needs to time their jump to coincide with the opponent's spike, and aim to touch the ball before it crosses the net C) The player needs to keep their hands close together to cover a specific area of the net D) The player needs to keep their hands high and wide to cover a larger area of the net \nSub-Question 2: What are some strategic positioning strategies a player can use to effectively block an opponent's spike in volleyball? A) The player should always maintain a position close to the net B) The player should position themselves based on the opponent's body language and approach to the net C) The player should position themselves in a way that they can react quickly to the direction of the spike D) The player should always position themselves directly in front of the opponent\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:096", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why would a volleyball team use a \"swing blocking\" strategy over a \"read blocking\" strategy during a defensive play? A) Swing blocking provides a faster and more dynamic movement to cover larger areas of the net. B) Swing blocking allows players to reach higher, providing better chances to deflect the ball. C) Read blocking requires less physical exertion and could be beneficial in long matches. D) Read blocking allows blockers to react to the attacker's movements and adjust their positions accordingly. \nSub-Question 1: Why might a team choose a \"read blocking\" strategy despite its potential limitations in speed and reach? A) Read blocking allows blockers to adapt to the opponent's strategy and adjust their positions accordingly. B) Read blocking is less physically demanding and could conserve players' energy for longer matches. C) Swing blocking can cover larger areas of the net, making it more effective against diverse attacking strategies. D) Swing blocking enables blockers to reach higher, improving the chances of deflecting the ball. \nSub-Question 2: Why would a team adopt a double block strategy during a game, considering it leaves other areas of the court more vulnerable? A) A double block can intimidate the attacker and force them to change their attack strategy. B) A double block can effectively cover a larger area of the net, increasing the chances of blocking the ball. C) Using a double block strategy can leave large areas of the court unguarded, potentially leading to easy points for the opponent. D) A double block strategy requires more coordination and communication among players, which could be challenging for less experienced teams.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:097", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What are the most effective movement patterns for a volleyball player to ensure optimal viewing of the game action during play? A) Constantly moving around the court to confuse the opposing team. B) Strategically positioning oneself based on the current ball position and the opponent's strategy. C) Always staying close to the net to block potential shots. D) Regularly communicating with teammates to adjust positions according to the game's flow. \nSub-Question 1: What factors influence the optimal positioning of a volleyball player to ensure the best view of the action? A) The current ball position and the anticipated trajectory. B) The opposing team's formation and strategy. C) The player's role and responsibilities within the team. D) The player's physical condition and stamina. \nSub-Question 2: What strategies can a volleyball player employ to ensure effective movement and positioning on the court? A) Consistent practice of different game scenarios to improve anticipation and reaction time. B) Regular communication with teammates to coordinate movements and positions. C) Staying static at one position to save energy. D) Regular workouts to improve physical fitness and agility.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:100", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why did the coach of Team A decide to substitute the goalkeeper in the 65th minute of a football match when the team was leading 2-0, the goalkeeper has not received a red card, and the goalkeeper's performance was not noticeably poor? A) The coach wanted to give the substitute goalkeeper some game time. B) The coach received information that the goalkeeper was feeling unwell. C) The coach was implementing a pre-planned strategy. D) The coach was unsatisfied with the goalkeeper's performance.\nSub-Question 1: What event occurred just before the 65th minute of the match that might have influenced the coach's decision? A) Team A scored another goal. B) The goalkeeper of Team A made a spectacular save. C) The coach of Team A received a message from the medical team. D) The striker of Team B was substituted.\nSub-Question 2: What was the previous record of the substitute goalkeeper when he was introduced in the middle of a match? A) He has always maintained a clean sheet. B) He has conceded goals in most matches. C) He has an average performance record. D) He has never played in the middle of a match before.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:105", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a football player receive a red card during the match? A) The player committed a serious foul play. B) The player used offensive, insulting or abusive language and/or gestures. C) The player ate a sandwich on the field. D) The player received a second yellow card in the same match.\nSub-Question 1: Why is serious foul play considered a red card offense? A) It involves excessive force or brutality against an opponent when challenging for the ball. B) It involves a player making a fair challenge for the ball. C) It involves a player eating a sandwich on the field. D) It involves a player not standing in the correct position during a free kick.\nSub-Question 2: Why would using offensive, insulting or abusive language and/or gestures be considered a red card offense? A) It goes against the spirit of respect and sportsmanship in the game. B) It enhances the player's performance in the game. C) It is a strategy to distract the opponent. D) It is part of the player's personal style.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:106", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What is the course of action taken by the referee in a football match when a penalty kick is about to be taken, but the weather conditions suddenly change, causing the pitch to become unplayable due to heavy rain, considering that the team awarded the penalty is leading by one goal and there are only five minutes left in the match? A) The referee cancels the penalty and declares the match over due to weather conditions. B) The referee allows the penalty to be taken and then immediately ends the match. C) The referee suspends the match and resumes it later from the point of the penalty kick when conditions allow. D) The referee declares the match a draw due to unplayable conditions.\nSub-Question 1: What is the usual procedure when a football match is suspended due to weather conditions? A) The match is resumed later from the point it was suspended. B) The match is restarted from the beginning. C) The match is declared a draw. D) The match is cancelled and not resumed.\nSub-Question 2: What happens to a penalty kick if a football match is suspended? A) The penalty is cancelled. B) The penalty is taken immediately before the match is suspended. C) The penalty is retaken when the match resumes. D) The penalty is awarded as a goal.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:113", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a professional football match, if a player is injured and receives treatment on the pitch, under which conditions is the referee most likely to allow the game to restart with a dropped ball, and which player will have possession? A) If the player is able to continue playing after treatment, the game restarts with a dropped ball and the team that did not have possession when the game was stopped will have possession. B) If the player has to leave the pitch to receive further treatment, the game restarts with a dropped ball and the team that had possession when the game was stopped will have possession. C) If the player is able to continue playing after treatment, the game restarts with a dropped ball and the team that had possession when the game was stopped will have possession. D) If the player has to leave the pitch to receive further treatment, the game restarts with a dropped ball and the team that did not have possession when the game was stopped will have possession.\nSub-Question 1: What is the usual protocol when a player is injured and receives treatment on the pitch? A) The player should leave the pitch and the game restarts with a dropped ball. B) The game is paused and can restart with a dropped ball if the player can continue playing. C) The game continues unless the player needs to be stretchered off. D) The game is paused and can restart with a dropped ball regardless of whether the player can continue playing.\nSub-Question 2: If the game restarts with a dropped ball after a player injury, who will usually have possession? A) The team that had possession when the game was stopped. B) The team that did not have possession when the game was stopped. C) The team of the player who was injured. D) The team of the player who did not cause the injury.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:116", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following factors are essential for a football referee to maintain a clear line of sight to the ball and players during a game? A) The number of spectators in the stadium B) The fitness level of the referee C) The height of the ball from the ground D) The color of the players' jerseys\nSub-Question 1: What is the correlation between the fitness level of a referee and their ability to maintain a clear line of sight to the ball and players? A) A more fit referee can move faster and keep up with the game better B) A less fit referee has a better line of sight due to slower movement C) Fitness level does not affect the line of sight D) A more fit referee can see further distances\nSub-Question 2: How does the color of the players' jerseys affect a referee's line of sight to the ball and players? A) Bright colors can distract the referee B) Dark colors make it difficult for the referee to see the players C) Color does not affect the line of sight D) Jerseys' color can help differentiate between the two teams\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:117", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which player is the most likely to be in a specific position during a penalty kick in a football match, given that the player must be a field player, the penalty is not a result of a red card violation, and the player cannot be the one who was fouled? A) The Goalkeeper B) The Right Back C) The Striker D) The Left Winger\nSub-Question 1: Which player is not allowed to take a penalty kick in football? A) The player who was fouled B) The Goalkeeper C) The Striker D) The player who received a red card\nSub-Question 2: In a penalty situation not resulting from a red card violation, which player is most likely to be in a position of goal line? A) The Striker B) The Goalkeeper C) The Right Back D) The Left Winger\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:118", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: During a professional football match, when should the referee intervene to halt the game for further judgment, given that the ball has hit the crossbar and rebounded to player A who is in an offside position, but player B who is not offside immediately runs to the ball from a distance and takes possession before player A makes any move? A) The referee should stop the game as soon as the ball rebounds off the crossbar. B) The referee should stop the game as soon as player A is in an offside position. C) The referee should stop the game as soon as player B takes possession of the ball. D) The referee should not stop the game as player A did not interfere with play.\nSub-Question 1: In the laws of football, when is a player considered to be in an offside position? A) When the player is nearer to the opponent's goal line than both the ball and the second last opponent. B) When the player is nearer to the opponent's goal line than the last opponent. C) When the player is in the opponent's half of the field. D) When the player is nearer to the opponent's goal line than the ball, irrespective of the position of the opponents.\nSub-Question 2: According to the rules of football, when is an offside player considered to be interfering with play? A) If the player makes a move towards the ball. B) If the player is in the line of sight of the opponent goalkeeper. C) If the player is standing in an offside position. D) If the player gains an advantage by being in that position.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:121", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What are the possible scenarios that could lead to a player receiving a red card offense during a football match? A) The player intentionally handles the ball (except for the goalkeeper within his own penalty area). B) The player shows aggressive behavior towards a match official. C) The player makes a careless challenge against an opponent. D) The player receives a second yellow card in the same match.\nSub-Question 1: What constitutes an intentional handling of the ball that would warrant a red card offense? A) The player stops a goal by deliberately handling the ball. B) The player catches the ball with his hands after it has been deliberately kicked to him by a teammate. C) The player uses his hand to control the ball when it is in play. D) The player accidentally touches the ball with his hand or arm.\nSub-Question 2: What types of aggressive behavior towards a match official could result in a red card offense? A) The player uses offensive or insulting language towards a match official. B) The player pushes or kicks a match official. C) The player refuses to leave the field when instructed by a match official. D) The player shows dissent by word or action towards a match official.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:122", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of these scenarios correctly describe how the referee should enforce penalty procedures in a football match when a player commits a foul inside the penalty box while the ball is in play? A) The referee immediately awards a penalty kick to the opposing team, and the player who committed the foul is sent off immediately. B) The referee only gives a yellow card or red card to the player who committed the foul. C) The referee allows play to continue until the ball is out of play or the team that was fouled gains an advantage, then potentially awards a penalty kick and gives a yellow or red card based on the severity of the foul. D) The referee awards a free kick to the opposing team at the spot of the foul, and the player who committed the foul is given a warning.\nSub-Question 1: Which are the correct steps a referee should take after awarding a penalty kick? A) The referee should ensure all players except the kicker and the goalkeeper are outside the penalty box and at least 10 yards from the penalty spot. B) The referee should allow the kicker to take the penalty kick only after the goalkeeper has moved off the goal line. C) The referee should blow the whistle to indicate the penalty kick can be taken, and the kicker must kick the ball forward. D) The referee should allow the kicker to take a practice kick before the actual penalty kick.\nSub-Question 2: Which are the correct actions a goalkeeper should take during a penalty kick? A) The goalkeeper must remain on the goal line between the goal posts until the ball has been kicked. B) The goalkeeper can move side to side but cannot move forward off the goal line before the ball is kicked. C) The goalkeeper can distract the kicker by waving his hands or jumping up and down. D) The goalkeeper cannot touch the goalposts, crossbar, or nets until the ball has been kicked.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:123", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Under what circumstances in a football match is a penalty awarded? A) When a player handles the ball deliberately in his own penalty area. B) When a player tackles an opponent in a manner considered by the referee to be careless, reckless, or using excessive force. C) When a player scores a goal directly from a throw-in. D) When a player is offside.\nSub-Question 1: What constitutes a player handling the ball deliberately in his own penalty area? A) When the player's arm or hand moves towards the ball. B) When the ball hits the player's hand or arm which is in a \"natural\" position. C) When the player's hand or arm is making the body unnaturally bigger. D) When the ball hits the player's hand or arm which is close to the body.\nSub-Question 2: What is considered as a player tackling an opponent in a manner considered by the referee to be careless, reckless, or using excessive force? A) When the player does not show due care for the opponent's safety. B) When the player makes contact with the ball before making contact with the opponent. C) When the player challenges for the ball without any chance of playing the ball. D) When the player makes a fair challenge with the opponent for the ball.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:124", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a football player be deemed offside during a match? A) The player is nearer to the opponent's goal line than both the ball and the second last opponent when the ball is played. B) The player is involved in active play by interfering with an opponent or gaining an advantage from being in that position. C) The player is standing in his own half of the field. D) The player is behind the ball when it is played.\nSub-Question 1: Why might a player not be penalized for being in an offside position? A) The player receives the ball directly from a goal kick. B) The player is in his own half of the field when the ball is played. C) The player is not involved in active play as determined by the referee. D) The player receives the ball directly from a throw-in.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:125", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a highly competitive football match, a direct free-kick foul occurs. If the foul was committed by a defender inside the penalty area against the opposing team's striker who was in a clear goal-scoring opportunity, and the referee decides to apply the advantage rule but the striker fails to score, what could be the possible outcomes? A) The referee could award a penalty kick and send off the offending player. B) The play could continue without any penalty or card shown to the offending player. C) The referee could award a penalty kick and show a yellow card to the offending player. D) The referee could restart the game with a drop ball at the spot of the foul.\nSub-Question 1: Considering the same scenario, what could be the possible outcomes if the referee had initially decided not to apply the advantage rule? A) The referee could award a penalty kick and send off the offending player. B) The play could continue without any penalty or card shown to the offending player. C) The referee could award a penalty kick and show a yellow card to the offending player. D) The referee could restart the game with a drop ball at the spot of the foul.\nSub-Question 2: In the same scenario, if the foul was committed by the last defender on the field, what could be the possible outcomes? A) The referee could award a penalty kick and send off the offending player. B) The play could continue without any penalty or card shown to the offending player. C) The referee could award a penalty kick and show a yellow card to the offending player. D) The referee could restart the game with a drop ball at the spot of the foul.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:126", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a professional football match, under what conditions can the match ball be changed, and what are the required procedures for doing so? A) The ball can be changed only if it is damaged, and the referee is the one to decide on the change. B) The ball can be changed at half time, and it is the responsibility of the home team to provide a new ball. C) The ball can be changed if it is not in a playable condition, and the fourth official is in charge of providing the replacement ball. D) The ball can be changed during the game at any time, and the referee with the help of the fourth official decide on the change.\nSub-Question 1: Who are involved in the process of changing the match ball in a professional football game? A) The referee and the home team. B) The referee and the fourth official. C) The referee, the fourth official, and the ball boy. D) The referee, the fourth official, and the team captains.\nSub-Question 2: What are the possible reasons for changing the match ball during a professional football game? A) The ball is damaged or not in a playable condition. B) The ball has been kicked into the crowd and not returned. C) The ball is changed at half time for a fresh one. D) All of the above.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:132", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following scenarios accurately describe how a football game can be restarted? A) After a goal has been scored, the team that conceded the goal starts the game with a kick-off from the centre spot. B) Following an injury break, the game is restarted with a drop ball. C) After halftime, the team that did not kick off in the first half starts the second half with a kick-off. D) The game is restarted with a throw-in when the ball has left the field of play on the side touchline.\nSub-Question 1: In which situations is the game restarted with a kick-off? A) After a goal has been scored. B) When a player has been shown a red card. C) At the beginning of each half of the match. D) When the ball has gone out of play over the goal line.\nSub-Question 2: When is a game restarted with a drop ball? A) When play has been stopped due to an injury or any other reason deemed necessary by the referee. B) When a penalty is awarded. C) When the ball has gone out of play over the touchline. D) When a goal has been scored.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:133", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How might the design and materials used in football player's equipment impact their performance and safety during a match? A) The design and materials do not impact the player's performance or safety. B) The lighter and more flexible the equipment, the better the player's performance and safety. C) The design and materials can affect the player's ability to move and their protection from injuries. D) The design and materials used in equipment have no relation to a player's performance, but they can affect their safety.\nSub-Question 1: How do the materials used in football helmets help in reducing the risk of concussions and head injuries? A) The materials used in helmets do not have any impact on the risk of concussions and head injuries. B) Hard outer shells and soft inner padding help absorb and distribute the force of impacts. C) The use of lightweight materials in helmets reduces the risk of neck injuries, indirectly reducing the risk of concussions. D) The use of heat-resistant materials in helmets helps prevent overheating, reducing the risk of fainting and subsequent head injuries.\nSub-Question 2: How does the design of football boots affect a player's performance in terms of speed and agility? A) The design of football boots does not affect a player's speed or agility. B) Boots with a narrower fit and cleats designed for specific surfaces can enhance a player's speed and agility. C) The use of lightweight materials and aerodynamic design in boots can enhance a player's speed. D) Boots with a higher ankle design can restrict a player's agility, but they provide better support.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:136", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why is the attacking player not considered offside in a scenario where he is closer to the opponent's goal line than both the ball and the second last opponent when the ball was played? A) Because the player was in their own half of the field when the ball was played. B) Because the player received the ball directly from a goal kick. C) Because the player was not involved in active play. D) Because the player received the ball directly from a throw-in.\nSub-Question 1: Why is the player not considered offside if they were in their own half of the field when the ball was played? A) Because the offside rule does not apply in the player's own half. B) Because the player had control of the ball. C) Because the player was not interfering with an opponent. D) Because the player was not gaining an advantage from being in that position.\nSub-Question 2: Why is the player not considered offside if they received the ball directly from a goal kick, corner kick, or throw-in? A) Because the offside rule does not apply in these situations. B) Because the player was not interfering with an opponent. C) Because the player was not gaining an advantage from being in that position. D) Because the player had control of the ball.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:137", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How are substitution procedures in football typically handled during a match? A) The coach signals the fourth official for a substitution, then the player leaving the field must do so from the nearest boundary line. B) A player who is to be substituted must leave the field at the halfway line. C) The substitute only enters the field of play after the player being replaced has left. D) All substitutions are made during stoppages in play.\nSub-Question 1: What are the common reasons for a coach to make a substitution in a football match? A) The player being substituted has incurred an injury. B) The coach is implementing a tactical change. C) The player being substituted has received a red card. D) The player being substituted has become tired.\nSub-Question 2: What are the limitations in making substitutions during a football match? A) A team is only allowed a certain number of substitutions during regular play. B) A team can make unlimited substitutions in a match. C) A substituted player is not allowed to reenter the match. D) A substitution can be made at any time during the match.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:140", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How does the penalty shootout procedure in football unfold under various realistic scenarios? A) Each team takes turns to take three penalties each and the team with the most goals wins. B) If the scores are level after five penalties each, sudden death ensues where each team takes turns to take one penalty and the first team to miss while the other scores, loses. C) A coin flip determines which team goes first and the same player cannot take consecutive penalties. D) The goalkeeper who finishes the game must be the one to face the penalties.\nSub-Question 1: How does the referee manage the penalty shootout process? A) The referee decides which player shots the first ball. B) The referee tosses a coin to decide which team goes first. C) The referee ensures that only eligible players take part in the shootout. D) The referee ensures that the goalkeeper remains on the goal line until the ball is kicked.\nSub-Question 2: How are the players' actions regulated during a penalty shootout? A) The player taking the penalty must kick the ball forward. B) The player taking the penalty cannot touch the ball again until it has touched another player. C) The goalkeeper must remain on the goal line until the ball is kicked. D) The players of both teams remain in the center circle except the player taking the penalty and the two goalkeepers.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:141", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How might unsporting behavior in football manifest itself during a competitive match, considering both player actions and reactions from the crowd? A) A player deliberately tripping an opponent when the referee isn't looking. B) The crowd booing a player from the opposing team each time they get the ball. C) A player passing the ball to a teammate. D) Fans cheering when their team scores a goal.\nSub-Question 1: How does unsporting behavior from a player, such as deliberate fouling or time-wasting, affect the dynamics of the game? A) It can lead to the player being given a yellow or red card. B) It can disrupt the flow of the game and frustrate the opposing team. C) It can result in the player scoring a goal. D) It can lead to increased support from the crowd for the player's team.\nSub-Question 2: How can unsporting behavior from the crowd, such as booing or throwing objects onto the field, impact the players and the overall game? A) It can distract or intimidate the players, potentially affecting their performance. B) It can lead to the game being paused or even abandoned. C) It can boost the morale of the players. D) It can lead to a penalty kick for the opposing team.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:142", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which equipment are essential for a football player's safety during a high-intensity game and are regulated by FIFA's standards? A) Football Boots and Shin Guards B) Goalkeeper Gloves and Football C) Team Jersey and Shorts D) Headgear and Mouthguard\nSub-Question 1: Which of these equipment are specifically designed to protect a player from potential injuries? A) Football Boots and Shin Guards B) Goalkeeper Gloves and Football C) Team Jersey and Shorts D) Headgear and Mouthguard\nSub-Question 2: Which of these equipment are subjected to FIFA's equipment regulations? A) Football Boots and Shin Guards B) Goalkeeper Gloves and Football C) Team Jersey and Shorts D) Headgear and Mouthguard\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:143", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How is a goal in football considered valid in terms of player's position and ball crossing the line, given the following scenarios? A) The ball completely crosses the goal line between the goalposts and under the crossbar, and the player who last touched the ball was not in an offside position when the ball was played. B) The ball crosses the goal line partially, but the player who last touched the ball was not in an offside position. C) The ball completely crosses the goal line between the goalposts and under the crossbar, but the player who last touched the ball was in an offside position. D) The ball completely crosses the goal line between the goalposts and under the crossbar, and the player who last touched the ball was not in an offside position when the ball was played, but the ball was handled by the player.\nSub-Question 1: Considering the offside rule in football, when can a player be considered as not being in an offside position during play? A) When the player is nearer to the opponent's goal line than both the ball and the second last opponent when the ball is played. B) When the player is in his own half of the field of play. C) When the player is level with the second last opponent. D) When the player is level with the last two opponents.\nSub-Question 2: When is the ball considered to have crossed the goal line in football? A) When the whole ball passes over the line, between the goalposts and under the crossbar. B) When any part of the ball passes over the line. C) When the ball touches the goal line. D) When the ball is within the goal area.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:147", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a football match, under which circumstances would the referee award a goal kick? A) When the ball goes out of play over the goal line, last touched by an attacking player, and a goal has not been scored. B) When a player commits a foul within his or her own penalty area. C) When the ball goes out of play over the touch line, last touched by an attacking player. D) When the ball goes out of play over the goal line, last touched by a defending player, and a goal has not been scored.\nSub-Question 1: What conditions must be met regarding the ball's position and who last touched it for a goal kick to be awarded? A) The ball is within the penalty area and last touched by a defending player. B) The ball has gone out of play over the goal line and was last touched by an attacking player. C) The ball has gone out of play over the touch line and was last touched by a defending player. D) The ball has gone out of play over the goal line and was last touched by a defending player.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:148", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why was a yellow card issued to Player A in the football match between Team X and Team Y? A) Player A committed a reckless challenge on Player B. B) Player A persistently infringed the Laws of the Game. C) Player A deliberately left the field of play without the referee’s permission. D) Player A showed dissent by word or action.\nSub-Question 1: Why is a reckless challenge considered as a yellow card offense? A) It endangers the safety of an opponent. B) It violates the spirit of the game. C) It disrupts the flow of the game. D) It demonstrates a lack of respect for the game.\nSub-Question 2: Why is persistently infringing the Laws of the Game considered as a yellow card offense? A) It shows a lack of discipline and respect for the rules. B) It disrupts the flow of the game. C) It gives the offending team an unfair advantage. D) It negatively impacts the enjoyment of spectators.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:151", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which material is known for its durability and lightweight feature and is commonly used in high-performance table tennis rackets? A) Carbon Fiber B) Aluminium C) Steel D) Plastic \nSub-Question 1: How much natural wood does a table tennis racket base need to contain? A) 80% B) 85% C) 90% D) 75%\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:153", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What is the minimum height the ball must be tossed during service according to the Service Rules? A) 5cm B) 10cm C) 16cm D) 20cm \nSub-Question 1: According to the Service Rules, is a player required to use different sides of the racket for forehand and backhand? A) Yes, it is a must B) No, it is not required C) Yes, but only in professional matches D) No, but it is recommended\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:156", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which of the following strategies would be the most effective for a table tennis sports service in order to increase its player base, considering the popularity of the sport and the demographic profile of its players? A) Organizing high-stakes tournaments with significant cash prizes. B) Offering personalized coaching sessions for beginners. C) Collaborating with schools to implement table tennis in their physical education curriculum. D) Offering discounted membership for senior citizens.\nSub-Question 1: Which of the following is the age group which table tennis are popular in China? A) Teenagers (13-19 years old) B) Young adults (20-29 years old) C) Middle-aged adults (30-49 years old) D) Senior citizens (50 years old and above)\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:157", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What is the consequence for a player if they commit a service fault for the first time in a service? A) The player gets a warning. B) The player loses a point. C) The player's service turn is skipped. D) The player is disqualified.\nSub-Question 1: What happens if a player's service toss accidentally lands on the opponent's side in a table tennis game? A) The service is considered a fault. B) The service is considered valid. C) The player gets a re-service. D) The player is disqualified.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:158", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What is the consequence of a table tennis player who, after receiving a yellow card for unsportsmanlike conduct in a match (Sub-Question 1), subsequently disrespects an umpire's decision (Sub-Question 2) according to the International Table Tennis Federation (ITTF) rules? A) The player will be disqualified immediately. B) The player will be given a warning. C) The player will be given a red card. D) The player will be banned from future tournaments.\nSub-Question 1: What does a yellow card signify in a table tennis match according to the ITTF rules? A) A warning for unsportsmanlike conduct. B) Immediate disqualification. C) Respect for the umpire's decision. D) A player's exceptional performance.\nSub-Question 2: According to ITTF rules, how should a player react to an umpire's decision? A) A player can disrespect the decision if they disagree. B) A player should accept the decision without argument. C) A player can challenge the umpire's decision during the match. D) A player has the right to ignore the decision.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:160", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What is the material used in the manufacturing of high-quality table tennis balls for high level competition? A) Polyester, B) Rubber C) ABS D) Celluloid\nSub-Question 1: Which organization(s) are primarily responsible for setting the standards for table tennis balls? A) International Table Tennis Federation (ITTF) B) ITTF and International Olympic Committee (IOC) C) IOC and World Ping Pong Association (WPPAPA) D) WPPA and National Table Tennis Federation (NTTF)\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:161", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How might the roles of various officials in a table tennis match impact the final decision in a controversial scenario where a player's serve is deemed illegal due to the ball not being tossed high enough and the opponent claims that the player's free hand was not flat during the serve? A) The umpire decides that the serve is illegal based on the toss height alone. B) The assistant umpire decides that the serve is illegal due to the player's free hand not being flat. C) The umpire decide that the serve is illegal based on both factors. D) The umpire overrules the assistant umpire's decision, deeming the serve legal.\nSub-Question 1: In what scenarios might the umpire and assistant umpire's decisions conflict during a table tennis match? A) The umpire believes the player's free hand was flat during the serve, but the assistant umpire disputes this. B) The assistant umpire believes the ball was tossed high enough, but the umpire disputes this. C) Both officials agree on the toss height, but disagree on whether the player's free hand was flat. D) Both officials agree on the legality of the player's free hand, but disagree on the toss height.\nSub-Question 2: How might the umpire's and assistant umpire's role influence the final decision in controversial scenarios in a table tennis match? A) The umpire can overrule the decisions of the assistant umpire. B) The umpire can not overrule the decisions made by the assistant umpire. C) The assistant can make a decision independently of the umpire. D) Both the umpire's and assistant umpire's decisions are final.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:162", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a table tennis match be delayed or postponed according to the Service Rules? A) The playing area is not up to standard. B) The equipment used (rackets, balls, table) is not in accordance with the rules. C) There is a severe weather condition that affects the venue. D) A player has not arrived at the venue in time.\nSub-Question 1: What might constitute a playing area not being up to standard? A) The lighting is insufficient for the players to see the ball clearly. B) The playing surface is uneven or damaged. C) The surrounding area is too noisy and distracting for the players. D) The playing area is not enclosed, allowing external factors to interfere with the game.\nSub-Question 2: How might the equipment not be in accordance with the rules? A) The rackets used are not covered with a layer of pimpled rubber. B) The ball used is not the standard size or weight. C) The table surface does not have a uniform and consistent bounce. D) The net assembly is not of the prescribed height or length.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:163", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: How can a player effectively execute a rally strategy in a table tennis game to keep their opponent on the defensive and increase their own scoring opportunities? A) Consistently hitting the ball to the opponent's weak side. B) Mixing up the speed and spin of the ball to disrupt the opponent's rhythm. C) Always aiming for the corners of the table. D) Keeping the ball low and close to the net.\nSub-Question 1: What are effective ways to keep the opponent on the defensive during a table tennis rally? A) Targeting the opponent's weak side with powerful shots. B) Frequently changing the direction of the ball. C) Always serving with maximum power. D) Using a variety of spins and speeds to disrupt the opponent's timing.\nSub-Question 2: What tactics can a player employ to increase their own scoring opportunities during a table tennis rally? A) Consistently hitting deep shots to push the opponent back. B) Mixing up the speed and spin of the ball to force errors. C) Always serving with maximum spin. D) Aiming for the corners of the table to limit the opponent's return options.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:167", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a doubles table tennis match, Team A consists of Player 1 and Player 2, and Team B consists of Player 3 and Player 4. If Player 1 served to Player 3 and the ball hit the net but still landed in the correct service box, and Player 3 failed to return it, what could be the possible outcomes? A) Point for Team A B) Point for Team B C) Let is called D) The serve is repeated\nSub-Question 1: If a ball hits the net during service but still lands in the correct service box, what is the usual outcome? A) Point for the serving team B) Point for the receiving team C) Let is called D) The serve is repeated\nSub-Question 2: If Player 3 fails to return a valid serve, what is the usual outcome? A) Point for Team A B) Point for Team B C) Let is called D) The serve is repeated\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:168", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which two of the following scenarios would result in a point being awarded to Player A in a game of table tennis, according to the Scoring System of the International Table Tennis Federation (ITTF)? A) Player A serves the ball, it hits the net but still lands on Player B's side of the table. B) Player A hits the ball and it bounces twice on Player B's side of the table. C) Player B hits the ball out of the table boundaries after Player A's serve. D) Player B hits the ball before it bounces on their side of the table after Player A's serve.\nSub-Question 1: Considering the ITTF Scoring System, which two scenarios would lead to Player B gaining a point? A) Player A serves the ball and it fails to reach Player B's side of the table. B) Player A hits the ball and it lands outside the boundaries of the table. C) Player A serves the ball and it hits the net without crossing to Player B's side. D) Player A hits the ball twice in succession deliberately.\nSub-Question 2: Which two of these scenarios would result in the rally continuing without a point being awarded, based on the ITTF Scoring System? A) Player A serves the ball, it hits the net and lands on Player B's side of the table. B) Player B hits the ball back to Player A's side after it has bounced once on their side. C) Player A hits the ball and it bounces once on their side before crossing the net. D) Player B hits the ball and it bounces twice on Player A's side of the table.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:172", "request": "You will be given a main question and a sub-question. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a tennis player prefer to serve first in a match, despite the fact that serving first does not necessarily guarantee a win? A) Serving first allows them to control the pace of the game. B) Serving first guarantees them the first point of the match. C) Serving first gives them a psychological advantage. D) Serving first allows them to win the match easily. \nSub-Question 1: How can serving first in a tennis match give a psychological advantage? A) It can make the opponent feel under pressure from the start. B) It can make the opponent feel more confident. C) It can make the opponent feel tired. D) It can make the opponent feel relaxed.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question is A and C and for the sub-question is D, your final answer must be \"AC, D\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:173", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: In a professional tennis match, under what circumstances would a player be granted a second service opportunity after committing a fault, considering the different scenarios of service rules? A) When the player's first service hits the net, posts or singles stick and then lands in the correct service box. B) When the player's first service hits the net, posts or singles stick and then lands outside the correct service box. C) When the player's first service directly lands outside the correct service box. D) When the player's first service is interrupted by external factors.\nSub-Question 1: What is considered a fault in professional tennis service rules? A) When the player's service hits the net and lands in the correct service box. B) When the player's service hits the net and lands outside the service box. C) When the player's service directly lands outside the service box. D) When the player's service is interrupted by external factors.\nSub-Question 2: Under what conditions is a player granted a second service opportunity in professional tennis? A) When the player's first service hits the net, posts or singles stick and then lands in the correct service box. B) When the player's first service hits the net, posts or singles stick and then lands outside the correct service box. C) When the player's first service directly lands outside the correct service box. D) When the player's first service is interrupted by external factors.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:177", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Which type of tennis court requires specific equipment, a denser string pattern racquet and high-altitude tennis balls, to optimize play due to its unique surface and altitude conditions? A) Grass court B) Clay court C) Hard court D) High-altitude court\nSub-Question 1: Which type of tennis court is known for having a faster game speed and lower bounce, therefore demanding a denser string pattern racquet for better control? A) Grass court B) Clay court C) Hard court D) High-altitude court\nSub-Question 2: Which specific type of tennis ball is designed to counteract less air resistance and thus slower speed due to higher altitude conditions? A) Regular duty tennis balls B) Extra duty tennis balls C) High-altitude tennis balls D) Stage 2 tennis balls\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:178", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why would a tennis player decide to use a challenge during a match? A) To argue with the umpire B) To question the accuracy of a line call C) To take a short break D) To distract the opponent\nSub-Question 1: What is a line call in tennis? A) When a player calls for a timeout B) When a player hits the ball outside the court C) When an official determines whether a shot landed in or out D) When a player challenges the opponent's serve\nSub-Question 2: What happens when a player uses a challenge? A) The player loses a point B) The umpire reviews the line call using video technology C) The player gets to replay the point D) The opponent gets to serve again\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:180", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a player be penalized during a tennis match under the Continuous Play rule, even if the player has not exceeded the 25-second limit between points? A) The player took a break to tie his shoelaces. B) The player paused to adjust his racquet strings. C) The player took more than 90 seconds on the changeover. D) The player stopped to greet a fan in the audience.\nSub-Question 1: Why might a player need to take a break to tie his shoelaces during a match? A) The player wants to delay the game. B) The player's shoelaces came untied. C) The player wants to rest. D) The player is trying to disrupt the opponent's rhythm.\nSub-Question 2: Why might the 90-second limit on changeovers be important in maintaining continuous play? A) To allow the players to rest. B) To allow the spectators to take a break. C) To keep the game moving at a steady pace. D) To allow the players to strategize for the next point.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:181", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why would a player fail to receive a point after serving in a tennis match even though the serve landed in the correct service box and was not returned by the opponent? A) The player served before the receiver was ready B) The player's foot crossed the baseline before the ball was hit C) The player served from the wrong half of the court D) All of the above \nSub-Question 1: Why is it important for the player to serve from the correct half of the court in a tennis match? A) It is a traditional rule in tennis B) It determines the direction of the ball C) Serve from the wrong half is a fault D) It prevents the server from gaining an unfair advantage\nSub-Question 2: Why would a tennis player not receive a point if their foot crossed the baseline before the ball was hit during a serve? A) It is considered a foot fault B) It is considered a double fault C) It changes the direction of the ball D) It gives an unfair advantage to the server\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:184", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: What is the likely response of opponent Player B (known for his aggressive baseline play and powerful forehand) when Player A, who is known for his excellent drop shots, employs a strategy of frequent drop shots during their match on a clay court? Choices: A) Player B will consistently charge the net to counter the drop shots. B) Player B will stay on the baseline and attempt to power through the drop shots. C) Player B will start using more slice shots to counter the drop shots. D) Player B will try to serve and volley to avoid drop shots.\nSub-Question 1: What is the typical response of an aggressive baseline player when faced with frequent drop shots? Choices: A) The player will stay on the baseline and try to power through the drop shots. B) The player will charge the net to counter the drop shots. C) The player will start using more slice shots. D) The player will try to serve and volley to avoid drop shots.\nSub-Question 2: How does a clay court affect a player's approach to countering drop shots? Choices: A) Players are more likely to stay on the baseline due to the slower court speed. B) Players are more likely to charge the net due to the high bounce of the ball. C) Players are more likely to use slice shots due to the high bounce of the ball. D) Players are more likely to serve and volley due to the slower court speed.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:187", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why would a professional tennis player choose to adopt a defensive baseline strategy over an aggressive serve-and-volley strategy during a match? A) The opponent has a strong return game. B) The player is not confident in their net play. C) The match is being played on clay, which generally favors baseline play. D) The player's serve strength and accuracy are currently not optimal.\nSub-Question 1: Why would a player's confidence in their net play be a determining factor in their choice of strategy? A) Inaccurate volleys could lead to unforced errors. B) Net play requires quick reflexes and precise timing. C) Effective net play can exert pressure on the opponent. D) The player may have recently recovered from an injury affecting their mobility.\nSub-Question 2: Why would the type of court surface influence a player's tactical decision? A) Clay courts slow down the ball and produce a high bounce. B) Grass courts tend to favor serve-and-volley players. C) Hard courts provide a balanced field for all types of players. D) Indoor courts can be faster, favoring aggressive play.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:sportqa:192", "request": "You will be given a main question and two sub-questions. Each question comes with multiple choices you can select from. For each question, select all the correct choices.\n\nMain Question: Why might a roving umpire in a tennis match need to overrule a line judge's call during a critical point in a match? A) The line judge was temporarily obstructed and couldn't clearly see the ball. B) The ball landed on a line which is considered in. C) The line judge made an incorrect out call. D) The player contested the call and requested an umpire review.\nSub-Question 1: Why might the line judge have been temporarily obstructed during the match? A) Another player or official inadvertently blocked their view. B) Weather conditions, such as rain or bright sunlight, affected visibility. C) They were momentarily distracted by crowd noise or movement. D) The speed of the ball was too slow to track accurately.\nSub-Question 2: Why could a line judge make an incorrect out call? A) The judge failed to properly track the trajectory of the ball. B) The judge mistook the ball's landing spot due to shadows or lighting. C) The judge was influenced by a player's reaction or crowd noise. D) The judge misinterpreted the rules of the game.\n\nFor each question, provide the answer as a concatenation of the correct choices.\nSeparate the answers for the questions by comma.\nFor example, if the correct choices for the main question are A and C, for the first sub-question is D and for the second sub-question are B and D, your final answer must be \"AC, D, BD\".\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:000", "request": "Alice, Nancy and Victoria work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:05, from 11:05 to 12:10, from 12:50 to 14:15, from 15:40 to 16:50\nTuesday: Booked at the following times: from 10:30 to 10:45, from 11:50 to 12:50\nWednesday: Booked at the following times: anytime before 10:20, from 10:40 to 12:00\nThursday: Booked at the following times: from 9:20 to 9:30, from 10:20 to 10:55, from 11:20 to 11:55, from 11:55 to 12:20\nFriday: Booked at the following times: from 10:25 to 10:50, from 11:00 to 12:05, from 12:20 to 13:30, from 13:50 to 13:55\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:50, from 10:50 to 10:55, from 12:10 to 12:20\nTuesday: Booked at the following times: from 9:45 to 10:05, from 11:15 to 11:50, from 13:10 to 14:05\nWednesday: Free only at the following times: from 9:00 to 10:00, from 10:50 to 11:30, anytime after 12:45\nThursday: Booked at the following times: anytime before 9:45, from 11:05 to 11:50, from 13:15 to 14:30\nFriday: Free only at the following times: from 9:00 to 10:25, from 11:55 to 13:20, from 14:00 to 17:00\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:05, from 10:15 to 11:15, from 11:30 to 12:30, from 13:25 to 14:40, from 14:45 to 17:00\nTuesday: Booked at the following times: from 9:40 to 9:45, from 10:25 to 11:55\nWednesday: Free only at the following times: anytime before 9:45, from 10:15 to 11:35, from 12:55 to 13:45, from 14:45 to 15:25, from 15:55 to 17:00\nThursday: Free only at the following times: anytime before 10:30, from 11:20 to 11:55, from 13:25 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:25, from 11:20 to 11:45, from 12:05 to 12:55, from 14:25 to 14:30, from 16:00 to 17:00\n\n\nAlice can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nNancy prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nVictoria needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:001", "request": "Sophia, Isabella, Amelia, Claire, Olivia and Yolanda work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:05, from 10:40 to 10:40, from 11:35 to 12:55, from 13:20 to 13:50, anytime after 14:45\nTuesday: Free only at the following times: from 9:00 to 10:15, from 10:50 to 12:20, from 12:55 to 13:35, from 14:00 to 15:05, anytime after 15:15\nWednesday: Booked at the following times: from 10:10 to 10:45, from 11:55 to 13:15, from 13:30 to 14:00, from 14:25 to 15:35\nThursday: Booked at the following times: from 10:05 to 11:05, from 11:45 to 12:25\nFriday: Booked at the following times: from 9:55 to 10:45, from 10:55 to 11:40, from 11:40 to 12:55\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:40, from 10:10 to 11:10, anytime after 12:10\nTuesday: Free only at the following times: from 9:00 to 10:00, from 10:05 to 11:35, from 12:45 to 13:40, anytime after 15:10\nWednesday: Free only at the following times: from 9:00 to 10:30, from 11:10 to 12:00, from 13:00 to 17:00\nThursday: Booked at the following times: from 10:20 to 10:40, from 10:45 to 10:55, from 12:25 to 13:20\nFriday: Free only at the following times: from 9:10 to 9:40, from 9:55 to 11:20, from 12:35 to 17:00\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:40, from 11:40 to 12:00\nTuesday: Booked at the following times: from 9:40 to 10:45, from 11:05 to 11:25, from 12:25 to 13:10, from 14:30 to 14:35\nWednesday: Booked at the following times: from 9:20 to 9:40, from 10:55 to 11:00\nThursday: Booked at the following times: from 10:20 to 10:25, from 11:50 to 12:50, from 13:15 to 14:10, from 15:40 to 15:50\nFriday: Booked at the following times: from 10:25 to 10:50, from 11:30 to 12:00\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:30, from 11:10 to 12:30, from 13:40 to 14:00\nTuesday: Free only at the following times: anytime before 10:25, from 10:45 to 10:50, from 12:20 to 12:45, from 14:05 to 17:00\nWednesday: Booked at the following times: from 9:50 to 10:00, from 10:30 to 11:40\nThursday: Free only at the following times: anytime before 9:35, from 10:45 to 12:05, from 12:30 to 13:20, from 13:40 to 14:55, from 16:20 to 17:00\nFriday: Booked at the following times: from 10:25 to 10:35, from 11:55 to 12:45\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:25, from 10:30 to 11:25\nTuesday: Free only at the following times: from 9:00 to 10:10, from 11:00 to 12:00, from 13:20 to 14:15, from 14:30 to 14:50, anytime after 15:40\nWednesday: Free only at the following times: from 9:00 to 9:25, from 9:45 to 9:45, anytime after 10:35\nThursday: Free only at the following times: anytime before 9:30, from 9:35 to 10:40, from 10:45 to 11:30, from 12:30 to 12:35, from 13:00 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:10, from 10:15 to 10:20, from 11:30 to 12:25, anytime after 13:05\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 11:15, from 12:25 to 13:30, from 13:55 to 15:05, from 15:45 to 16:15\nTuesday: Booked at the following times: from 9:10 to 10:05, from 10:20 to 10:35, from 10:35 to 11:30\nWednesday: Free only at the following times: anytime before 9:25, from 10:25 to 10:25, anytime after 11:15\nThursday: Booked at the following times: from 10:25 to 11:40, from 12:55 to 13:05, from 13:10 to 14:35\nFriday: Free only at the following times: from 9:00 to 9:40, from 11:00 to 11:15, from 11:25 to 12:15, anytime after 13:10\n\n\nSophia prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nIsabella asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAmelia is flexible to miss (at most) 10 minutes of the meeting\nClaire needs a break for lunch on Wednesday from 12:30 to 1:00\nOlivia is flexible to miss the last (at most) 10 minutes of the meeting\nYolanda is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:002", "request": "Lisa, Charlotte, Yolanda, Zoey, Alice and Amelia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 9:55, from 9:55 to 10:25\nTuesday: Booked at the following times: from 9:25 to 10:20, from 11:00 to 11:25\nWednesday: Free only at the following times: from 9:00 to 9:35, from 10:35 to 11:50, from 12:45 to 13:40, from 13:50 to 17:00\nThursday: Booked at the following times: from 10:05 to 10:20, from 10:20 to 10:45, from 10:45 to 12:10, from 12:50 to 13:45\nFriday: Booked at the following times: from 9:30 to 10:30, from 11:00 to 11:50, from 12:15 to 12:40, from 13:55 to 14:15\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 11:50, from 12:55 to 14:25, from 15:00 to 15:05, from 16:10 to 16:55\nTuesday: Free only at the following times: anytime before 9:20, from 10:40 to 10:50, anytime after 11:55\nWednesday: Booked at the following times: from 9:50 to 10:20, from 10:25 to 11:15, from 11:35 to 12:25\nThursday: Free only at the following times: from 9:00 to 9:40, from 10:55 to 12:10, from 13:00 to 13:40, from 13:50 to 15:00, anytime after 15:25\nFriday: Free only at the following times: anytime before 10:20, from 11:00 to 12:25, from 13:25 to 17:00\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:10, from 11:15 to 11:40, from 12:45 to 13:05, from 13:20 to 14:50, from 15:05 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:15, from 11:00 to 11:15, anytime after 12:20\nWednesday: Booked at the following times: from 9:40 to 9:55, from 10:50 to 12:10, from 13:35 to 13:45\nThursday: Free only at the following times: from 9:00 to 9:05, from 9:25 to 9:40, from 10:45 to 17:00\nFriday: Booked at the following times: from 10:15 to 11:05, from 11:25 to 11:35, from 12:35 to 14:05\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 9:40, from 10:10 to 11:15, from 11:15 to 11:20, from 12:20 to 12:40\nTuesday: Booked at the following times: from 9:45 to 10:50, from 11:50 to 13:15, from 13:20 to 14:30, from 15:55 to 16:05\nWednesday: Free only at the following times: anytime before 9:20, from 9:50 to 11:20, from 11:45 to 11:55, from 13:25 to 14:40, from 15:25 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:40, from 10:10 to 11:10, from 11:15 to 12:35, from 12:45 to 17:00\nFriday: Free only at the following times: anytime before 9:45, from 10:05 to 10:25, anytime after 11:45\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:15, from 10:05 to 10:05, from 10:55 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:50, from 11:20 to 11:30, from 11:40 to 17:00\nWednesday: Booked at the following times: from 9:30 to 10:10, from 11:20 to 12:10, from 13:25 to 14:40\nThursday: Booked at the following times: from 10:20 to 10:30, from 10:40 to 11:30, from 12:40 to 13:40, from 14:40 to 16:05\nFriday: Booked at the following times: from 10:25 to 11:30, from 12:50 to 13:00, from 13:35 to 13:55\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:20, from 12:10 to 12:30, from 12:40 to 13:00, from 13:20 to 13:25\nTuesday: Free only at the following times: from 9:00 to 10:30, from 10:45 to 10:55, from 12:15 to 12:55, from 14:25 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:55, from 11:10 to 12:10, from 13:40 to 14:30, anytime after 15:40\nThursday: Booked at the following times: from 9:55 to 10:30, from 11:50 to 11:55, from 12:55 to 13:50, from 14:40 to 16:00\nFriday: Free only at the following times: anytime before 9:35, from 11:05 to 11:15, anytime after 12:30\n\n\nLisa prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nCharlotte feels tired late in the day and requires the meeting to end before 4pm\nYolanda is fine to stay until 6pm to accommodate the meeting\nZoey is flexible to miss the last (at most) 10 minutes of the meeting\nAlice can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nAmelia is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:004", "request": "Amelia, Yolanda, Alice, Zoey, Charlotte and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:40, from 10:15 to 10:40, from 12:05 to 13:15, from 14:25 to 17:00\nTuesday: Booked at the following times: from 10:15 to 10:30, from 10:40 to 11:05, from 12:30 to 12:35\nWednesday: Free only at the following times: from 9:00 to 9:55, from 10:45 to 11:40, from 11:45 to 12:45, anytime after 13:35\nThursday: Free only at the following times: from 9:00 to 9:45, from 11:00 to 11:05, anytime after 12:30\nFriday: Booked at the following times: from 9:45 to 10:35, from 11:15 to 12:05, from 12:15 to 13:10, from 13:10 to 14:20\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:25 to 10:20, from 11:05 to 11:45, from 13:00 to 14:10, from 14:35 to 15:10\nTuesday: Booked at the following times: from 9:35 to 9:50, from 9:55 to 10:55, from 12:05 to 13:05\nWednesday: Booked at the following times: from 9:05 to 9:55, from 9:55 to 11:05, from 11:45 to 12:15, from 12:40 to 13:50\nThursday: Booked at the following times: from 10:00 to 11:25, from 11:30 to 12:10\nFriday: Free only at the following times: anytime before 9:20, from 9:25 to 9:25, from 10:05 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 11:50, from 12:35 to 12:45, from 13:35 to 14:50\nTuesday: Free only at the following times: anytime before 9:50, from 10:30 to 11:20, from 11:55 to 12:00, from 13:20 to 13:55, anytime after 15:05\nWednesday: Booked at the following times: from 9:00 to 10:00, from 10:50 to 10:55, from 12:15 to 12:45, from 13:00 to 14:25\nThursday: Free only at the following times: from 10:25 to 11:15, anytime after 11:35\nFriday: Free only at the following times: from 9:00 to 9:35, from 11:05 to 12:20, from 13:45 to 15:00, from 16:05 to 16:15, anytime after 16:50\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 9:30 to 10:25, from 11:10 to 12:00, from 12:40 to 17:00\nTuesday: Booked at the following times: from 10:00 to 10:05, from 10:20 to 10:40\nWednesday: Booked at the following times: from 9:50 to 11:20, from 11:45 to 11:50, from 13:15 to 13:40, from 15:10 to 15:30\nThursday: Free only at the following times: from 9:00 to 9:20, from 9:40 to 11:05, from 11:30 to 17:00\nFriday: Booked at the following times: from 10:00 to 10:55, from 11:40 to 12:35, from 14:05 to 14:40\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 9:00 to 9:55, from 10:50 to 11:40, from 11:50 to 13:20, from 14:15 to 15:10\nTuesday: Free only at the following times: anytime before 10:05, from 10:35 to 11:30, anytime after 13:00\nWednesday: Free only at the following times: from 9:00 to 9:20, from 9:50 to 11:10, from 11:35 to 11:55, from 13:15 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:50, from 11:20 to 12:50, anytime after 14:15\nFriday: Free only at the following times: from 9:00 to 9:15, from 9:40 to 10:35, from 11:15 to 12:25, from 13:05 to 14:15, from 14:40 to 17:00\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:00, from 11:15 to 12:05, from 12:25 to 13:05\nTuesday: Free only at the following times: from 9:00 to 9:50, from 11:00 to 11:10, anytime after 12:05\nWednesday: Free only at the following times: anytime before 9:40, from 10:35 to 10:55, from 12:00 to 12:30, from 13:00 to 17:00\nThursday: Booked at the following times: from 10:30 to 11:40, from 12:45 to 14:15\nFriday: Free only at the following times: anytime before 9:35, from 10:30 to 10:50, from 12:00 to 13:05, from 14:35 to 14:50, from 14:55 to 17:00\n\n\nAmelia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nYolanda can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nAlice can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nZoey is flexible to miss (at most) 10 minutes of the meeting\nCharlotte is flexible to miss the last (at most) 10 minutes of the meeting\nSarah asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:006", "request": "Alice, Mary, Ava, Charlotte, Claire and Lisa work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:10, from 11:50 to 12:55\nTuesday: Free only at the following times: from 9:00 to 9:05, from 10:25 to 10:50, from 11:15 to 17:00\nWednesday: Free only at the following times: anytime before 9:30, from 10:15 to 11:40, from 13:10 to 13:15, anytime after 13:20\nThursday: Free only at the following times: from 10:30 to 11:25, from 12:05 to 17:00\nFriday: Booked at the following times: from 9:45 to 10:25, from 11:45 to 12:35, from 13:30 to 13:50\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 11:35, from 11:50 to 12:05\nTuesday: Booked at the following times: from 9:25 to 10:15, from 11:20 to 11:50\nWednesday: Booked at the following times: from 9:40 to 10:35, from 11:30 to 12:10, from 13:30 to 14:50, from 15:00 to 16:05\nThursday: Free only at the following times: from 9:00 to 9:15, from 10:45 to 11:50, from 13:00 to 13:10, from 13:25 to 14:35, anytime after 14:55\nFriday: Booked at the following times: from 9:25 to 10:30, from 11:55 to 12:00, from 12:55 to 14:00\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 10:05, from 10:15 to 11:45, from 12:55 to 14:20\nTuesday: Free only at the following times: from 9:00 to 9:30, from 10:55 to 11:00, from 11:35 to 12:45, anytime after 14:05\nWednesday: Free only at the following times: anytime before 9:20, from 10:45 to 12:10, from 12:15 to 12:45, anytime after 13:30\nThursday: Free only at the following times: anytime before 9:30, from 10:10 to 10:15, from 11:35 to 12:30, from 13:15 to 14:15, anytime after 14:35\nFriday: Free only at the following times: from 9:00 to 9:30, from 10:15 to 10:45, from 11:55 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:05 to 10:10, from 11:15 to 12:40, from 13:05 to 17:00\nTuesday: Free only at the following times: anytime before 9:15, from 10:10 to 11:15, from 11:50 to 12:30, from 13:30 to 14:50, from 15:45 to 17:00\nWednesday: Booked at the following times: from 9:20 to 9:30, from 10:20 to 10:50, from 10:55 to 11:55, from 12:55 to 13:35\nThursday: Booked at the following times: from 9:30 to 10:50, from 11:25 to 12:55, from 14:25 to 15:55\nFriday: Free only at the following times: from 9:00 to 10:15, from 10:50 to 11:20, anytime after 12:00\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 9:25 to 10:35, from 11:10 to 11:15\nTuesday: Free only at the following times: anytime before 9:35, from 10:35 to 11:35, anytime after 12:40\nWednesday: Free only at the following times: from 9:20 to 10:05, from 10:50 to 10:55, from 12:25 to 12:55, from 13:40 to 17:00\nThursday: Booked at the following times: from 10:00 to 10:15, from 11:10 to 11:20, from 12:30 to 13:25\nFriday: Booked at the following times: from 10:30 to 10:35, from 10:50 to 11:45\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 10:40 to 11:25, from 12:10 to 12:25, from 12:35 to 13:40, from 14:10 to 17:00\nTuesday: Booked at the following times: from 9:30 to 10:45, from 12:10 to 13:10, from 14:30 to 15:45\nWednesday: Free only at the following times: anytime before 9:20, from 10:40 to 11:50, anytime after 12:00\nThursday: Booked at the following times: from 9:50 to 10:15, from 10:25 to 11:55, from 12:45 to 13:55\nFriday: Free only at the following times: from 9:00 to 9:30, from 10:45 to 11:50, from 11:55 to 12:20, from 13:00 to 13:45, from 15:10 to 17:00\n\n\nAlice can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nMary asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAva prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nCharlotte can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nClaire prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLisa feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:007", "request": "Sarah, Emma, Victoria and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:10, from 10:05 to 10:55, from 12:15 to 17:00\nTuesday: Free only at the following times: anytime before 9:30, from 10:55 to 11:25, from 12:50 to 14:10, from 14:55 to 16:15, anytime after 16:30\nWednesday: Booked at the following times: from 9:25 to 10:20, from 10:30 to 10:45\nThursday: Booked at the following times: from 10:05 to 11:10, from 12:30 to 13:10, from 14:30 to 14:50\nFriday: Free only at the following times: anytime before 9:55, from 10:55 to 11:10, anytime after 11:35\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:05, from 11:30 to 11:30, from 13:00 to 17:00\nTuesday: Free only at the following times: anytime before 10:30, from 11:20 to 11:55, from 12:00 to 12:05, from 12:40 to 17:00\nWednesday: Free only at the following times: anytime before 9:15, from 9:25 to 10:10, from 10:50 to 12:00, anytime after 12:05\nThursday: Free only at the following times: anytime before 10:05, from 10:40 to 11:20, anytime after 12:00\nFriday: Free only at the following times: anytime before 9:15, from 9:35 to 11:00, from 11:15 to 12:10, from 13:05 to 13:45, from 14:40 to 17:00\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:15, from 11:00 to 11:55\nTuesday: Booked at the following times: from 9:00 to 9:20, from 10:35 to 11:25, from 12:00 to 12:30\nWednesday: Free only at the following times: from 9:00 to 10:05, from 11:00 to 12:25, from 12:35 to 17:00\nThursday: Free only at the following times: anytime before 9:25, from 10:00 to 11:25, anytime after 11:35\nFriday: Booked at the following times: from 10:20 to 11:20, from 11:25 to 12:20, from 12:50 to 14:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 11:00, from 12:10 to 13:30, from 13:45 to 14:55, from 15:25 to 16:20\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:40 to 10:40, from 11:45 to 12:00, from 12:50 to 13:50, from 14:55 to 17:00\nWednesday: Booked at the following times: from 9:35 to 9:55, from 10:50 to 11:50, from 12:50 to 14:15\nThursday: Booked at the following times: from 9:30 to 10:00, from 10:10 to 11:10, from 11:40 to 12:05\nFriday: Booked at the following times: from 9:05 to 9:55, from 10:55 to 11:05\n\n\nSarah is flexible to miss the last (at most) 10 minutes of the meeting\nEmma is fine to stay until 6pm to accommodate the meeting\nVictoria can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nOlivia asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:011", "request": "Karen, Yolanda and Lisa work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:15, from 9:15 to 10:45, from 11:05 to 11:40\nTuesday: Booked at the following times: anytime before 10:25, from 10:45 to 12:15, from 13:00 to 13:25, from 13:50 to 15:20\nWednesday: Booked at the following times: from 9:05 to 10:20, from 11:05 to 12:30, from 13:05 to 14:00\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:05 to 10:25, anytime after 10:45\nFriday: Booked at the following times: from 10:20 to 11:35, from 12:20 to 13:30, from 14:15 to 14:45\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:30, from 9:50 to 11:00, from 12:15 to 12:40, from 14:00 to 17:00\nTuesday: Booked at the following times: from 10:05 to 11:05, from 11:45 to 12:15\nWednesday: Booked at the following times: from 9:45 to 10:55, from 11:15 to 12:20, from 13:20 to 14:30\nThursday: Free only at the following times: from 9:00 to 9:30, from 9:35 to 10:15, from 11:45 to 13:05, from 13:10 to 17:00\nFriday: Free only at the following times: anytime before 10:15, from 11:45 to 11:50, from 12:55 to 13:20, from 14:00 to 14:25, anytime after 14:35\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 10:30, from 10:30 to 11:15\nTuesday: Booked at the following times: from 9:15 to 10:15, from 11:20 to 12:10, from 12:40 to 13:15\nWednesday: Booked at the following times: from 10:10 to 11:10, from 12:00 to 13:10\nThursday: Booked at the following times: from 9:20 to 10:50, from 11:05 to 11:50, from 13:00 to 13:15, from 13:35 to 14:20\nFriday: Booked at the following times: from 9:35 to 10:55, from 11:45 to 12:50, from 14:20 to 15:10, from 15:20 to 16:15\n\n\nKaren is fine to stay until 6pm to accommodate the meeting\nYolanda prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLisa is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:012", "request": "Charlotte, Sophia and Claire work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:20, from 11:05 to 12:15\nTuesday: Booked at the following times: from 9:25 to 10:25, from 10:45 to 12:15, from 13:20 to 13:50\nWednesday: Free only at the following times: anytime before 9:25, from 10:45 to 10:55, anytime after 11:30\nThursday: Booked at the following times: from 9:55 to 10:40, from 11:25 to 12:35\nFriday: Booked at the following times: from 10:20 to 10:25, from 11:15 to 11:55, from 12:40 to 13:45\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:40 to 13:10, from 13:55 to 15:00, from 15:30 to 15:40, from 16:15 to 17:00\nTuesday: Booked at the following times: from 10:20 to 10:55, from 10:55 to 12:00, from 12:10 to 13:40\nWednesday: Free only at the following times: from 9:00 to 9:35, from 9:45 to 10:25, from 10:40 to 12:10, from 13:10 to 14:10, anytime after 14:25\nThursday: Booked at the following times: from 9:10 to 9:50, from 10:15 to 11:10, from 12:25 to 13:00\nFriday: Free only at the following times: anytime before 9:45, from 10:40 to 11:10, anytime after 11:30\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:45, from 12:00 to 12:25\nTuesday: Booked at the following times: from 9:50 to 10:30, from 10:30 to 10:50\nWednesday: Free only at the following times: from 9:00 to 9:10, from 10:20 to 11:40, from 13:05 to 13:40, from 14:45 to 17:00\nThursday: Booked at the following times: from 9:35 to 10:45, from 12:10 to 12:15, from 13:10 to 13:25, from 14:30 to 15:10\nFriday: Free only at the following times: from 9:00 to 10:30, from 10:40 to 11:55, from 12:50 to 13:20, from 13:30 to 13:55, anytime after 14:05\n\n\nCharlotte can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nSophia is flexible to miss the last (at most) 10 minutes of the meeting\nClaire is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:014", "request": "Amelia, Rachel and Lisa work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:10 to 9:35, from 10:30 to 17:00\nTuesday: Free only at the following times: anytime before 10:15, from 11:40 to 11:55, from 12:55 to 13:20, anytime after 14:45\nWednesday: Free only at the following times: anytime before 10:10, from 10:35 to 11:30, from 12:40 to 13:05, from 13:15 to 14:25, from 15:35 to 17:00\nThursday: Free only at the following times: anytime before 9:10, from 9:15 to 10:25, from 11:55 to 12:05, from 12:20 to 17:00\nFriday: Booked at the following times: from 9:20 to 10:30, from 10:55 to 12:25, from 12:30 to 12:45, from 12:50 to 13:55\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:05, from 11:00 to 12:05, from 13:20 to 13:35\nTuesday: Free only at the following times: from 9:00 to 9:30, from 9:45 to 10:10, anytime after 11:20\nWednesday: Free only at the following times: anytime before 10:15, from 11:20 to 12:45, from 13:05 to 17:00\nThursday: Booked at the following times: anytime before 9:20, from 10:20 to 10:35, from 10:50 to 12:10, from 13:35 to 14:10\nFriday: Free only at the following times: from 9:00 to 9:35, from 9:50 to 10:00, from 10:05 to 10:55, from 11:25 to 12:20, from 12:35 to 17:00\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 10:10 to 10:45, from 12:15 to 12:20, from 13:40 to 17:00\nTuesday: Booked at the following times: from 10:15 to 10:30, from 12:00 to 12:20, from 13:50 to 14:40, from 15:55 to 16:05\nWednesday: Free only at the following times: anytime before 9:25, from 10:40 to 11:35, from 11:55 to 12:00, from 12:25 to 13:05, from 14:00 to 17:00\nThursday: Booked at the following times: from 9:35 to 10:15, from 11:45 to 12:50, from 13:35 to 14:25\nFriday: Booked at the following times: anytime before 10:15, from 11:00 to 11:20, from 12:00 to 12:30, from 12:30 to 13:45\n\n\nAmelia prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nRachel is in a timezone that is one hour ahead of other participants\nLisa asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:016", "request": "Olivia, Charlotte, Alice, Victoria and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:05, from 10:20 to 10:50, from 11:10 to 12:25, from 13:50 to 15:00, from 15:45 to 17:00\nTuesday: Booked at the following times: from 9:55 to 11:20, from 11:45 to 11:50, from 12:25 to 13:10, from 14:00 to 14:10\nWednesday: Booked at the following times: from 9:20 to 10:25, from 11:45 to 11:55, from 12:25 to 12:35\nThursday: Free only at the following times: anytime before 9:25, from 9:35 to 10:15, from 11:15 to 11:45, from 13:05 to 14:25, anytime after 14:35\nFriday: Booked at the following times: from 9:15 to 10:45, from 11:10 to 11:30, from 11:30 to 11:50\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:10 to 10:35, anytime after 11:05\nTuesday: Booked at the following times: from 9:05 to 9:30, from 10:20 to 11:10, from 12:15 to 13:35, from 15:05 to 16:25\nWednesday: Free only at the following times: anytime before 10:30, from 11:20 to 12:40, anytime after 13:25\nThursday: Free only at the following times: from 9:00 to 10:00, from 11:10 to 11:25, anytime after 11:50\nFriday: Free only at the following times: from 9:00 to 9:25, from 10:20 to 11:30, from 12:15 to 12:50, from 12:55 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:00, from 10:45 to 11:15, from 12:35 to 12:45, anytime after 13:20\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:00 to 10:40, from 10:50 to 11:40, from 12:05 to 17:00\nWednesday: Free only at the following times: anytime before 10:30, from 10:40 to 10:55, from 11:05 to 12:30, from 12:40 to 14:10, anytime after 14:40\nThursday: Free only at the following times: anytime before 9:35, from 11:00 to 11:55, from 12:10 to 12:20, from 13:40 to 17:00\nFriday: Booked at the following times: from 9:50 to 11:15, from 12:05 to 13:10, from 14:40 to 15:40, from 16:15 to 16:50\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:20, from 9:20 to 10:30\nTuesday: Free only at the following times: anytime before 9:55, from 10:10 to 10:55, from 11:10 to 11:20, from 11:40 to 12:10, from 12:45 to 17:00\nWednesday: Booked at the following times: from 9:05 to 10:20, from 10:35 to 11:05, from 11:35 to 12:45, from 13:20 to 14:50\nThursday: Booked at the following times: from 9:30 to 10:05, from 10:35 to 11:00\nFriday: Free only at the following times: anytime before 9:10, from 9:45 to 10:10, from 11:20 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:10 to 12:20, from 13:15 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:25, from 9:50 to 10:30, from 11:10 to 17:00\nWednesday: Booked at the following times: from 9:45 to 11:10, from 11:55 to 12:30, from 12:50 to 13:15, from 13:15 to 13:20\nThursday: Booked at the following times: from 9:25 to 10:40, from 11:00 to 11:15, from 12:05 to 13:00\nFriday: Booked at the following times: from 9:30 to 9:40, from 10:20 to 10:50, from 11:15 to 12:40\n\n\nOlivia prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nCharlotte is flexible to miss (at most) 10 minutes of the meeting\nAlice is in a timezone that is one hour ahead of other participants\nVictoria needs a break for lunch on Wednesday from 12:30 to 1:00\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:022", "request": "Alice, Ava, Charlotte and Sophia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:05, from 10:10 to 11:00, from 11:30 to 12:35, from 13:15 to 17:00\nTuesday: Booked at the following times: from 9:30 to 9:55, from 11:05 to 11:40, from 12:30 to 13:35, from 13:40 to 14:15\nWednesday: Free only at the following times: from 9:00 to 10:15, from 10:50 to 11:40, from 12:15 to 13:05, from 13:45 to 17:00\nThursday: Booked at the following times: from 9:45 to 10:45, from 11:30 to 11:50, from 12:05 to 13:30, from 14:35 to 15:35\nFriday: Booked at the following times: from 10:20 to 10:35, from 10:45 to 12:10, from 13:40 to 14:15\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:45 to 12:15, from 13:45 to 17:00\nTuesday: Free only at the following times: from 10:05 to 11:15, from 11:30 to 11:55, from 13:05 to 13:10, from 13:45 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:25, from 11:00 to 12:20, from 12:45 to 14:00, from 14:55 to 15:05, from 15:45 to 17:00\nThursday: Booked at the following times: from 9:25 to 10:40, from 10:55 to 12:25, from 13:55 to 14:10, anytime after 15:35\nFriday: Free only at the following times: anytime before 10:10, from 10:30 to 11:50, from 12:45 to 14:05, from 15:25 to 16:15\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:15, from 10:35 to 11:30, from 12:45 to 13:20, from 14:25 to 15:35\nTuesday: Free only at the following times: from 9:00 to 10:20, from 10:25 to 10:30, from 10:55 to 12:00, from 12:25 to 13:45, anytime after 15:15\nWednesday: Free only at the following times: anytime before 9:25, from 10:25 to 10:35, from 11:15 to 11:50, from 12:10 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:40 to 11:05, from 12:20 to 12:55, from 13:00 to 13:30, from 13:35 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:05, from 10:30 to 10:35, from 11:30 to 12:55, anytime after 13:25\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 11:30, from 12:00 to 12:15, from 13:10 to 13:55, from 14:25 to 15:00\nTuesday: Free only at the following times: from 9:00 to 9:15, from 10:20 to 11:15, anytime after 12:45\nWednesday: Booked at the following times: from 9:45 to 10:30, from 10:50 to 10:55, from 12:25 to 13:50\nThursday: Booked at the following times: from 9:10 to 10:15, from 11:10 to 12:20, from 12:25 to 13:30, from 14:15 to 15:15\nFriday: Free only at the following times: anytime before 9:30, from 10:40 to 10:45, from 11:00 to 17:00\n\n\nAlice can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nAva asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nCharlotte is flexible to miss (at most) 10 minutes of the meeting\nSophia is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:025", "request": "Yolanda, Sarah, Claire and Eve work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:35, from 10:45 to 12:05, from 12:15 to 12:15, from 13:20 to 17:00\nTuesday: Booked at the following times: from 10:10 to 11:05, from 12:25 to 13:45\nWednesday: Booked at the following times: from 10:10 to 10:50, from 11:55 to 12:05, from 12:55 to 14:10\nThursday: Free only at the following times: from 9:00 to 10:05, from 11:20 to 11:35, from 11:50 to 17:00\nFriday: Booked at the following times: from 9:30 to 9:45, from 9:45 to 11:05, from 11:20 to 11:40, from 11:55 to 12:00\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:15, from 9:30 to 9:40, from 10:00 to 17:00\nTuesday: Free only at the following times: anytime before 9:30, from 10:55 to 11:40, from 13:10 to 17:00\nWednesday: Booked at the following times: from 10:15 to 11:45, from 12:10 to 13:40, from 14:20 to 14:45, from 15:15 to 16:05\nThursday: Booked at the following times: from 10:30 to 11:00, from 12:10 to 13:05, from 13:15 to 14:30, from 15:40 to 16:35\nFriday: Free only at the following times: from 9:00 to 10:20, from 10:50 to 11:00, anytime after 11:30\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 10:40 to 10:55, from 12:05 to 13:25, from 13:40 to 14:10, anytime after 14:20\nTuesday: Free only at the following times: from 9:20 to 10:15, from 11:00 to 11:35, from 11:40 to 17:00\nWednesday: Booked at the following times: from 9:50 to 10:25, from 10:55 to 11:35\nThursday: Booked at the following times: from 10:00 to 10:55, from 12:20 to 12:55, from 13:30 to 13:45, from 15:15 to 16:40\nFriday: Free only at the following times: anytime before 9:45, from 10:55 to 11:50, from 12:45 to 17:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:45, from 11:40 to 12:30, from 13:30 to 13:50, from 14:50 to 16:00\nTuesday: Free only at the following times: anytime before 10:15, from 11:00 to 11:10, from 12:35 to 12:50, from 13:45 to 17:00\nWednesday: Booked at the following times: from 9:25 to 10:50, from 10:55 to 11:50, from 12:55 to 13:50, from 14:10 to 14:45\nThursday: Booked at the following times: anytime before 10:30, from 11:55 to 13:10, from 13:30 to 14:35, from 15:10 to 16:30\nFriday: Free only at the following times: anytime before 9:40, from 10:00 to 10:05, from 11:30 to 12:45, from 14:00 to 14:05, anytime after 15:35\n\n\nYolanda prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nSarah is in a timezone that is one hour ahead of other participants\nClaire is flexible to miss (at most) 10 minutes of the meeting\nEve asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:033", "request": "Zoey, Eve, Olivia, Sophia, Lisa and Yolanda work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:40 to 12:05, from 12:35 to 12:35, anytime after 12:45\nTuesday: Booked at the following times: from 9:25 to 9:35, from 10:05 to 10:20, from 11:20 to 12:25, from 12:35 to 14:05\nWednesday: Free only at the following times: anytime before 9:10, from 9:50 to 11:10, from 12:20 to 12:50, from 13:50 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:40, from 11:05 to 11:35, from 13:05 to 13:10, from 14:35 to 17:00\nFriday: Booked at the following times: from 10:20 to 11:40, from 13:10 to 14:20, from 14:55 to 15:55\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:10 to 10:20, from 11:10 to 12:40, anytime after 13:50\nTuesday: Booked at the following times: from 9:05 to 10:20, from 10:35 to 12:05, from 13:20 to 13:55\nWednesday: Free only at the following times: anytime before 9:45, from 11:15 to 12:00, from 12:55 to 14:15, from 14:55 to 16:25, anytime after 16:50\nThursday: Free only at the following times: anytime before 9:25, from 10:30 to 11:40, from 12:35 to 17:00\nFriday: Free only at the following times: anytime before 10:25, from 10:55 to 11:55, from 12:50 to 14:05, anytime after 14:45\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 11:00, from 11:20 to 12:50\nTuesday: Booked at the following times: from 9:15 to 10:10, from 11:25 to 12:05\nWednesday: Free only at the following times: from 9:50 to 11:00, from 11:30 to 12:35, from 13:55 to 14:40, from 15:45 to 17:00\nThursday: Booked at the following times: from 9:30 to 10:40, from 11:45 to 11:50\nFriday: Free only at the following times: anytime before 10:30, from 11:10 to 11:55, from 13:25 to 17:00\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:50, from 12:10 to 12:25, from 13:10 to 13:15\nTuesday: Free only at the following times: from 9:00 to 9:55, from 10:20 to 10:50, from 11:05 to 17:00\nWednesday: Booked at the following times: from 10:20 to 11:40, from 12:00 to 13:00, from 14:05 to 15:25\nThursday: Free only at the following times: from 9:00 to 10:10, from 10:55 to 12:15, from 13:00 to 13:35, anytime after 14:50\nFriday: Booked at the following times: from 10:00 to 10:50, from 12:15 to 13:25, from 14:10 to 15:25\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:00 to 11:15, from 11:20 to 17:00\nTuesday: Booked at the following times: from 9:15 to 9:40, from 11:10 to 11:35\nWednesday: Free only at the following times: from 9:00 to 10:30, from 11:50 to 12:30, anytime after 14:00\nThursday: Free only at the following times: from 9:00 to 9:20, from 9:30 to 10:40, anytime after 11:15\nFriday: Free only at the following times: anytime before 9:55, from 10:55 to 11:55, from 12:15 to 13:30, from 14:05 to 14:15, anytime after 15:35\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 11:15 to 11:50, from 12:45 to 13:30, anytime after 13:55\nTuesday: Booked at the following times: from 9:35 to 10:35, from 11:30 to 12:10, from 13:15 to 14:40\nWednesday: Free only at the following times: anytime before 10:30, from 12:00 to 13:10, from 14:40 to 15:10, anytime after 15:45\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:25 to 10:45, from 11:15 to 12:35, from 13:45 to 15:15, anytime after 16:00\nFriday: Free only at the following times: anytime before 10:25, from 10:55 to 12:10, anytime after 12:30\n\n\nZoey feels tired late in the day and requires the meeting to end before 4pm\nEve is in a timezone that is one hour ahead of other participants\nOlivia needs a break for lunch on Wednesday from 12:30 to 1:00\nSophia can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLisa prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nYolanda is flexible to miss the last (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:038", "request": "Lisa, Eve, Zoey, Alice and Sophia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:05 to 11:30, from 12:40 to 13:55, from 14:45 to 17:00\nTuesday: Free only at the following times: anytime before 9:25, from 10:45 to 11:20, from 12:30 to 17:00\nWednesday: Booked at the following times: from 9:55 to 10:20, from 11:10 to 12:10, from 12:30 to 12:45\nThursday: Booked at the following times: from 10:25 to 11:30, from 11:55 to 12:45\nFriday: Booked at the following times: from 9:05 to 10:20, from 11:35 to 12:00, from 12:50 to 14:20\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:35, from 10:45 to 12:10, from 13:05 to 14:20, from 14:45 to 16:05\nTuesday: Booked at the following times: from 9:35 to 10:05, from 10:35 to 11:25, from 12:05 to 12:45, from 13:40 to 15:00\nWednesday: Free only at the following times: from 9:00 to 9:05, from 10:15 to 10:50, from 10:55 to 10:55, from 11:30 to 12:05, anytime after 13:35\nThursday: Booked at the following times: from 10:10 to 10:45, from 12:00 to 13:15\nFriday: Booked at the following times: from 9:05 to 10:10, from 10:30 to 10:45\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:40 to 11:55, from 12:15 to 12:35, from 13:25 to 14:55, anytime after 16:10\nTuesday: Free only at the following times: from 9:00 to 10:10, from 10:35 to 10:45, from 11:05 to 17:00\nWednesday: Free only at the following times: anytime before 9:45, from 11:15 to 12:10, from 13:35 to 13:45, from 14:10 to 17:00\nThursday: Booked at the following times: from 9:30 to 11:00, from 11:35 to 12:15\nFriday: Free only at the following times: anytime before 10:00, from 11:00 to 11:35, anytime after 11:45\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:10, from 11:05 to 11:15, from 12:40 to 13:55, from 14:55 to 16:05, anytime after 16:25\nTuesday: Booked at the following times: from 9:50 to 10:20, from 10:55 to 12:10\nWednesday: Free only at the following times: from 9:00 to 9:45, from 10:30 to 11:15, from 12:25 to 12:45, anytime after 13:00\nThursday: Free only at the following times: anytime before 9:05, from 9:15 to 9:45, from 11:00 to 11:25, from 12:45 to 14:15, from 15:15 to 17:00\nFriday: Free only at the following times: anytime before 9:25, from 10:25 to 11:55, from 13:15 to 17:00\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:30, from 11:00 to 11:45, from 13:05 to 17:00\nTuesday: Booked at the following times: from 9:00 to 9:40, from 10:25 to 11:20, from 11:55 to 12:05, from 12:15 to 13:20\nWednesday: Free only at the following times: anytime before 10:10, from 10:20 to 10:25, from 11:50 to 13:00, anytime after 14:25\nThursday: Booked at the following times: from 10:00 to 10:20, from 10:45 to 11:15, from 12:20 to 13:35\nFriday: Free only at the following times: from 9:00 to 9:15, from 9:35 to 9:55, from 10:00 to 10:25, from 10:30 to 10:50, anytime after 11:40\n\n\nLisa is flexible to miss (at most) 10 minutes of the meeting\nEve is flexible to miss the last (at most) 10 minutes of the meeting\nZoey asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAlice is fine to stay until 6pm to accommodate the meeting\nSophia feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:043", "request": "Claire, Nancy, Sophia and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:05 to 11:00, from 11:50 to 13:05, from 13:25 to 17:00\nTuesday: Free only at the following times: anytime before 10:30, from 11:00 to 11:50, from 12:15 to 13:25, from 14:50 to 17:00\nWednesday: Booked at the following times: from 9:30 to 9:35, from 10:45 to 10:55\nThursday: Free only at the following times: anytime before 10:05, from 10:20 to 10:45, from 11:55 to 13:15, from 14:05 to 17:00\nFriday: Booked at the following times: from 10:10 to 10:45, from 11:55 to 13:20, from 14:45 to 15:20\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:35, from 11:15 to 12:20, from 12:25 to 12:50\nTuesday: Free only at the following times: anytime before 9:05, from 9:15 to 9:50, from 10:55 to 12:20, from 13:20 to 13:55, from 14:05 to 17:00\nWednesday: Booked at the following times: from 9:30 to 9:50, from 11:10 to 11:35\nThursday: Booked at the following times: from 9:45 to 10:50, from 11:55 to 13:20, from 14:15 to 14:25\nFriday: Booked at the following times: from 10:05 to 10:35, from 10:45 to 12:05, from 13:15 to 14:05\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:00, from 11:40 to 12:45, from 13:25 to 13:55\nTuesday: Booked at the following times: from 9:10 to 9:25, from 10:40 to 11:50, from 12:55 to 13:55\nWednesday: Free only at the following times: anytime before 9:35, from 10:25 to 10:25, from 11:10 to 12:30, from 13:35 to 13:55, from 14:15 to 17:00\nThursday: Booked at the following times: from 10:25 to 11:05, from 11:55 to 12:40\nFriday: Booked at the following times: from 9:00 to 10:15, from 10:45 to 12:05, from 12:30 to 13:45, from 13:55 to 15:10\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:15, from 10:25 to 10:55\nTuesday: Booked at the following times: from 10:00 to 10:50, from 12:05 to 13:05, from 14:25 to 15:30, from 16:25 to 16:45\nWednesday: Booked at the following times: from 10:20 to 11:25, from 11:40 to 12:35, from 12:35 to 12:50\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:20 to 11:40, from 11:50 to 11:55, from 13:20 to 13:35, anytime after 13:40\nFriday: Free only at the following times: anytime before 9:25, from 9:30 to 10:50, from 12:00 to 13:25, from 14:45 to 17:00\n\n\nClaire asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nNancy asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nSophia needs a break for lunch on Wednesday from 12:30 to 1:00\nCharlotte feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:044", "request": "Sarah, Lisa and Zoey work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:35, from 10:50 to 11:35, from 12:55 to 17:00\nTuesday: Free only at the following times: anytime before 10:30, from 11:35 to 12:30, from 14:00 to 14:50, from 15:55 to 16:10, anytime after 16:15\nWednesday: Booked at the following times: from 9:05 to 9:10, from 9:15 to 10:25, from 11:00 to 11:50\nThursday: Booked at the following times: from 9:25 to 10:20, from 10:45 to 11:05, from 12:30 to 13:15\nFriday: Booked at the following times: from 9:10 to 9:55, from 10:40 to 11:30, from 11:40 to 11:45\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:05, from 10:45 to 12:05, anytime after 12:20\nTuesday: Booked at the following times: from 9:20 to 10:15, from 10:15 to 11:05, from 11:40 to 11:55\nWednesday: Booked at the following times: from 9:30 to 10:25, from 10:50 to 11:20, from 12:40 to 12:55\nThursday: Free only at the following times: from 9:00 to 9:50, from 10:00 to 11:00, anytime after 12:20\nFriday: Booked at the following times: from 9:00 to 9:45, from 10:35 to 10:45\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:35, from 11:05 to 12:00\nTuesday: Booked at the following times: from 10:00 to 10:25, from 11:55 to 12:30, from 13:40 to 14:35\nWednesday: Booked at the following times: from 10:10 to 11:10, from 12:15 to 13:30\nThursday: Free only at the following times: anytime before 10:20, from 10:55 to 12:25, from 12:50 to 13:25, from 14:25 to 15:10, anytime after 15:20\nFriday: Booked at the following times: from 10:30 to 11:15, from 12:10 to 12:20, from 13:40 to 14:25\n\n\nSarah asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLisa needs a break for lunch on Wednesday from 12:30 to 1:00\nZoey is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:045", "request": "Charlotte, Nancy, Yolanda and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:45 to 11:40, anytime after 12:40\nTuesday: Booked at the following times: from 9:20 to 9:30, from 10:20 to 11:45, from 13:00 to 13:45\nWednesday: Booked at the following times: from 10:00 to 10:35, from 11:35 to 12:35, from 12:40 to 12:45, from 13:20 to 14:20\nThursday: Free only at the following times: anytime before 9:50, from 10:35 to 11:20, from 11:50 to 12:55, from 13:45 to 17:00\nFriday: Booked at the following times: from 10:00 to 11:05, from 11:50 to 12:45, from 14:05 to 15:05\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 10:30, from 11:00 to 11:40, from 12:55 to 14:25\nTuesday: Booked at the following times: from 10:10 to 10:30, from 10:55 to 11:15\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:00 to 12:05, from 12:30 to 13:25, from 14:30 to 15:30, anytime after 16:20\nThursday: Free only at the following times: anytime before 9:50, from 10:10 to 10:10, from 11:30 to 13:00, from 13:05 to 13:50, anytime after 14:30\nFriday: Free only at the following times: anytime before 9:45, from 10:25 to 11:05, from 12:20 to 12:20, from 12:50 to 12:55, from 14:25 to 17:00\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 10:15, from 11:45 to 12:55\nTuesday: Booked at the following times: from 10:00 to 10:15, from 10:55 to 11:55\nWednesday: Free only at the following times: from 9:00 to 9:45, from 10:10 to 11:10, from 12:00 to 12:35, from 14:00 to 15:10, anytime after 16:35\nThursday: Free only at the following times: anytime before 9:10, from 10:05 to 10:55, from 12:00 to 13:30, from 14:00 to 14:30, anytime after 15:00\nFriday: Booked at the following times: from 9:40 to 11:00, from 11:55 to 12:25, from 12:40 to 13:40\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:50, from 11:55 to 13:00, from 14:25 to 14:55\nTuesday: Free only at the following times: anytime before 9:05, from 9:15 to 10:20, from 11:20 to 11:35, from 12:45 to 17:00\nWednesday: Booked at the following times: from 9:25 to 10:25, from 10:55 to 11:05, from 11:25 to 12:50\nThursday: Free only at the following times: anytime before 10:15, from 11:25 to 12:00, from 13:00 to 13:00, from 13:10 to 17:00\nFriday: Booked at the following times: from 9:25 to 9:45, from 11:10 to 11:15, from 11:55 to 12:15, from 13:45 to 15:15\n\n\nCharlotte needs a break for lunch on Wednesday from 12:30 to 1:00\nNancy feels tired late in the day and requires the meeting to end before 4pm\nYolanda asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nMary prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:046", "request": "Nancy, Zoey, Sarah and Isabella work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:50, from 11:35 to 11:40\nTuesday: Booked at the following times: from 9:05 to 10:35, from 11:20 to 12:00, from 12:00 to 13:00, from 14:05 to 14:20\nWednesday: Free only at the following times: from 9:00 to 9:30, from 10:10 to 11:25, from 11:40 to 17:00\nThursday: Free only at the following times: anytime before 9:25, from 9:45 to 11:00, from 11:15 to 12:30, from 14:00 to 14:10, anytime after 15:40\nFriday: Booked at the following times: from 9:35 to 11:05, from 12:30 to 12:50, from 13:45 to 15:10\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 11:20, from 12:00 to 13:05, from 13:35 to 14:35\nTuesday: Booked at the following times: from 9:50 to 10:10, from 11:05 to 12:15, from 12:25 to 13:15\nWednesday: Free only at the following times: anytime before 10:25, from 11:05 to 11:05, anytime after 12:10\nThursday: Booked at the following times: from 9:20 to 10:20, from 10:55 to 11:05\nFriday: Free only at the following times: from 9:00 to 9:35, from 10:35 to 11:55, from 13:05 to 13:55, anytime after 14:00\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:10, from 10:45 to 11:45, from 12:20 to 13:00, from 14:05 to 15:00, anytime after 15:40\nTuesday: Booked at the following times: from 10:20 to 11:30, from 11:55 to 13:25, from 14:00 to 14:45, from 15:00 to 16:30\nWednesday: Free only at the following times: anytime before 9:55, from 11:20 to 12:05, from 12:20 to 17:00\nThursday: Free only at the following times: anytime before 10:05, from 11:05 to 11:30, from 11:45 to 12:35, from 14:05 to 14:10, anytime after 15:35\nFriday: Free only at the following times: from 9:00 to 10:00, from 11:30 to 12:40, from 13:30 to 13:30, from 14:35 to 17:00\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 10:45, from 11:30 to 12:30\nTuesday: Booked at the following times: from 9:45 to 10:50, from 11:35 to 12:00\nWednesday: Free only at the following times: from 9:00 to 10:15, from 11:30 to 12:45, from 13:45 to 15:10, from 15:30 to 17:00\nThursday: Free only at the following times: anytime before 9:50, from 10:40 to 11:45, anytime after 13:00\nFriday: Booked at the following times: from 10:25 to 11:50, from 13:20 to 14:10\n\n\nNancy can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nZoey is flexible to miss the last (at most) 10 minutes of the meeting\nSarah asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nIsabella can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:050", "request": "Nancy, Emma and Rachel work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:10, from 11:30 to 11:40, from 12:10 to 13:00\nTuesday: Free only at the following times: from 9:00 to 9:45, from 10:00 to 10:15, from 11:05 to 12:10, from 13:30 to 14:10, from 15:20 to 17:00\nWednesday: Free only at the following times: anytime before 9:35, from 10:00 to 11:20, anytime after 11:55\nThursday: Booked at the following times: from 10:20 to 11:00, from 12:00 to 12:35\nFriday: Booked at the following times: from 10:15 to 11:15, from 12:35 to 14:05\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:30, from 10:45 to 11:05, from 12:00 to 12:00, from 12:35 to 17:00\nTuesday: Booked at the following times: from 9:35 to 11:00, from 11:50 to 11:55, from 13:00 to 13:10\nWednesday: Booked at the following times: from 9:25 to 9:55, from 9:55 to 10:25, from 11:40 to 13:00\nThursday: Booked at the following times: from 9:35 to 11:05, from 12:20 to 13:00\nFriday: Booked at the following times: from 9:55 to 10:15, from 11:45 to 13:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:30, from 11:20 to 11:40, from 13:10 to 14:25, from 15:10 to 17:00\nTuesday: Booked at the following times: from 9:35 to 9:40, from 10:35 to 10:55, from 11:40 to 13:00, from 14:00 to 14:20\nWednesday: Booked at the following times: from 9:35 to 10:25, from 11:30 to 12:25\nThursday: Free only at the following times: anytime before 9:40, from 10:50 to 11:45, from 12:15 to 12:20, from 13:15 to 17:00\nFriday: Free only at the following times: anytime before 9:45, from 10:35 to 11:10, from 11:20 to 12:15, from 13:05 to 13:15, from 14:00 to 17:00\n\n\nNancy can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nRachel is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:051", "request": "Rachel, Charlotte, Amelia and Isabella work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 9:25, from 10:55 to 11:40, from 11:55 to 12:15, from 13:10 to 13:20\nTuesday: Booked at the following times: from 10:25 to 11:15, from 11:45 to 12:35\nWednesday: Free only at the following times: anytime before 9:30, from 10:05 to 11:35, from 12:45 to 17:00\nThursday: Booked at the following times: from 9:00 to 10:00, from 11:05 to 11:35\nFriday: Free only at the following times: anytime before 10:05, from 10:10 to 10:25, from 10:35 to 11:40, from 12:35 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:15 to 11:05, from 12:25 to 13:55, anytime after 14:15\nTuesday: Free only at the following times: from 10:25 to 11:30, from 12:10 to 13:35, from 14:05 to 15:15, anytime after 16:15\nWednesday: Booked at the following times: from 9:35 to 10:10, from 11:25 to 12:25, from 13:05 to 13:35\nThursday: Free only at the following times: anytime before 9:50, from 10:50 to 11:35, from 11:55 to 12:20, from 13:50 to 14:10, anytime after 14:30\nFriday: Booked at the following times: from 9:55 to 10:35, from 10:55 to 11:10, from 12:30 to 14:00, from 15:15 to 15:45\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:55, from 10:15 to 11:35, from 12:30 to 17:00\nTuesday: Booked at the following times: from 10:20 to 11:00, from 12:30 to 13:50, from 14:15 to 14:30, from 15:05 to 15:35\nWednesday: Free only at the following times: anytime before 10:05, from 10:25 to 10:40, anytime after 10:45\nThursday: Free only at the following times: from 9:00 to 9:15, from 9:55 to 10:30, from 11:55 to 13:25, from 14:30 to 17:00\nFriday: Booked at the following times: from 9:50 to 10:05, from 10:25 to 11:00, from 11:15 to 12:10, from 12:45 to 14:10\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:10, from 10:15 to 10:35\nTuesday: Free only at the following times: anytime before 9:45, from 10:05 to 11:00, from 12:05 to 13:35, from 15:05 to 15:15, from 16:45 to 17:00\nWednesday: Free only at the following times: anytime before 9:10, from 9:55 to 10:40, from 12:05 to 17:00\nThursday: Free only at the following times: anytime before 9:15, from 10:45 to 10:45, from 11:10 to 12:05, anytime after 13:25\nFriday: Free only at the following times: from 9:00 to 9:55, from 10:25 to 10:55, from 11:25 to 12:25, from 13:10 to 13:30, anytime after 14:55\n\n\nRachel needs a break for lunch on Wednesday from 12:30 to 1:00\nCharlotte is fine to stay until 6pm to accommodate the meeting\nAmelia is flexible to miss (at most) 10 minutes of the meeting\nIsabella asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:052", "request": "Karen, Charlotte, Eve, Emma, Amelia and Sophia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 9:15, from 9:20 to 9:40, from 9:50 to 10:35\nTuesday: Booked at the following times: from 10:30 to 10:55, from 11:35 to 12:20, from 12:20 to 13:10, from 13:35 to 15:00\nWednesday: Free only at the following times: anytime before 9:50, from 10:10 to 10:40, from 11:25 to 17:00\nThursday: Free only at the following times: anytime before 10:05, from 11:05 to 12:10, from 13:00 to 13:25, from 13:35 to 13:35, from 13:40 to 17:00\nFriday: Booked at the following times: from 10:10 to 11:25, from 12:35 to 13:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 9:20, from 10:45 to 12:10, from 13:35 to 14:30\nTuesday: Booked at the following times: from 9:10 to 9:50, from 11:00 to 11:45, from 13:15 to 14:45\nWednesday: Free only at the following times: anytime before 10:25, from 10:45 to 11:30, anytime after 12:20\nThursday: Free only at the following times: from 9:00 to 9:45, from 10:45 to 10:50, from 11:10 to 12:25, from 12:45 to 17:00\nFriday: Booked at the following times: from 10:05 to 10:30, from 11:25 to 11:35, from 11:50 to 12:45\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 10:50 to 10:50, from 11:00 to 11:55, from 13:25 to 14:30, from 15:45 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:45, from 11:05 to 12:10, from 12:50 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:05, from 9:40 to 9:45, from 10:05 to 10:55, anytime after 11:30\nThursday: Free only at the following times: from 9:00 to 9:55, from 10:45 to 11:00, anytime after 11:55\nFriday: Booked at the following times: from 10:20 to 11:30, from 12:20 to 13:40\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:00, from 11:20 to 11:40, from 12:05 to 12:40, anytime after 14:10\nTuesday: Booked at the following times: from 9:50 to 10:45, from 11:25 to 12:40, from 14:05 to 14:30\nWednesday: Booked at the following times: from 9:35 to 10:10, from 10:45 to 11:35, from 12:35 to 13:55\nThursday: Booked at the following times: from 9:10 to 9:30, from 9:35 to 10:25, from 10:45 to 11:10\nFriday: Free only at the following times: from 9:00 to 10:05, from 10:15 to 11:05, from 12:30 to 12:35, from 14:00 to 17:00\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 9:25 to 9:35, anytime after 10:30\nTuesday: Booked at the following times: anytime before 10:15, from 11:10 to 12:30, from 13:05 to 13:30, from 13:55 to 15:15\nWednesday: Free only at the following times: from 9:00 to 9:25, from 10:05 to 11:10, from 12:20 to 12:25, from 13:10 to 13:10, from 14:40 to 17:00\nThursday: Booked at the following times: from 9:50 to 10:45, from 12:05 to 13:05\nFriday: Booked at the following times: from 10:15 to 11:25, from 12:50 to 13:10, from 14:10 to 14:25, from 15:15 to 16:30\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:30, from 11:40 to 12:20, from 12:55 to 13:55, from 14:20 to 15:20\nTuesday: Free only at the following times: anytime before 9:15, from 10:10 to 11:15, from 11:30 to 12:30, from 13:20 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:10, from 11:25 to 12:55, from 13:10 to 17:00\nThursday: Free only at the following times: anytime before 10:05, from 10:20 to 11:20, from 11:50 to 17:00\nFriday: Free only at the following times: anytime before 10:05, from 11:35 to 11:55, from 12:15 to 13:30, from 13:50 to 15:10, from 15:55 to 17:00\n\n\nKaren can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nCharlotte is in a timezone that is one hour ahead of other participants\nEve can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAmelia is fine to stay until 6pm to accommodate the meeting\nSophia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:053", "request": "Isabella, Zoey, Yolanda and Amelia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:55, from 10:45 to 11:10, from 12:25 to 12:35, from 13:25 to 14:20, from 15:20 to 17:00\nTuesday: Booked at the following times: from 9:30 to 9:45, from 10:50 to 11:50\nWednesday: Booked at the following times: from 10:15 to 10:40, from 11:30 to 11:40\nThursday: Booked at the following times: from 10:05 to 11:00, from 11:20 to 12:35, from 13:15 to 13:20, from 13:35 to 15:00\nFriday: Booked at the following times: anytime before 9:50, from 10:10 to 10:55, from 12:10 to 13:15\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:50, from 10:50 to 12:05, from 13:30 to 14:25, anytime after 14:40\nTuesday: Booked at the following times: from 10:25 to 10:55, from 11:30 to 11:50, from 12:50 to 13:50, from 15:10 to 16:10\nWednesday: Booked at the following times: from 10:25 to 11:05, from 11:10 to 11:20, from 12:20 to 13:35, from 15:00 to 15:50\nThursday: Free only at the following times: from 9:00 to 9:55, from 11:20 to 11:40, from 12:10 to 12:10, from 13:25 to 14:45, from 16:10 to 17:00\nFriday: Booked at the following times: from 10:30 to 11:55, from 11:55 to 12:50, from 14:10 to 15:35, from 16:10 to 16:25\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 11:00, from 12:20 to 12:40, from 14:00 to 14:30\nTuesday: Free only at the following times: anytime before 9:15, from 10:20 to 11:35, from 12:50 to 13:00, from 13:25 to 14:10, anytime after 14:50\nWednesday: Booked at the following times: from 10:20 to 11:30, from 11:55 to 13:00, from 13:50 to 14:00\nThursday: Booked at the following times: from 10:25 to 11:10, from 11:30 to 12:10, from 13:25 to 13:40\nFriday: Free only at the following times: anytime before 9:25, from 10:45 to 11:10, from 12:00 to 17:00\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:25, from 12:10 to 13:10, from 14:40 to 16:05, from 16:50 to 17:00\nTuesday: Booked at the following times: from 9:25 to 10:50, from 10:55 to 11:20, from 12:40 to 14:05\nWednesday: Booked at the following times: from 9:50 to 10:30, from 11:05 to 11:10, from 12:25 to 13:25, from 13:55 to 14:45\nThursday: Free only at the following times: anytime before 10:00, from 11:20 to 12:20, from 13:40 to 14:40, from 15:15 to 17:00\nFriday: Booked at the following times: from 9:55 to 11:20, from 11:30 to 11:35\n\n\nIsabella asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nZoey is in a timezone that is one hour ahead of other participants\nYolanda prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAmelia is flexible to miss the last (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:056", "request": "Zoey, Charlotte, Amelia, Yolanda, Emma and Rachel work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:05, from 9:50 to 11:20, from 11:25 to 12:35, from 13:10 to 13:45, from 14:40 to 17:00\nTuesday: Booked at the following times: from 10:05 to 11:15, from 11:35 to 12:05, from 13:05 to 14:25, from 14:40 to 15:15\nWednesday: Booked at the following times: from 10:15 to 10:35, from 11:00 to 12:05, from 12:25 to 13:55, from 15:05 to 15:15\nThursday: Free only at the following times: from 9:00 to 9:25, from 9:40 to 11:00, from 12:10 to 12:10, from 12:30 to 12:50, from 14:05 to 17:00\nFriday: Booked at the following times: from 9:35 to 9:40, from 10:50 to 11:50, from 12:10 to 13:15\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 11:10, from 12:15 to 13:30, from 13:55 to 15:25\nTuesday: Free only at the following times: from 9:00 to 10:20, from 11:30 to 12:20, from 13:45 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:40, from 10:50 to 11:45, from 12:25 to 13:45, from 14:20 to 15:20, from 16:00 to 17:00\nThursday: Booked at the following times: from 9:55 to 10:35, from 11:50 to 12:45\nFriday: Free only at the following times: from 9:00 to 10:15, from 10:25 to 11:40, from 13:00 to 13:35, from 14:40 to 15:50, anytime after 16:10\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:45, from 12:50 to 13:20\nTuesday: Free only at the following times: from 9:00 to 9:40, from 10:10 to 10:35, from 11:40 to 11:40, from 12:45 to 13:05, from 14:20 to 17:00\nWednesday: Booked at the following times: from 9:50 to 11:20, from 11:25 to 11:55\nThursday: Booked at the following times: from 10:20 to 11:50, from 12:35 to 13:10\nFriday: Booked at the following times: from 9:50 to 11:15, from 12:45 to 13:00, from 14:00 to 15:30, from 15:35 to 15:40\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:40, from 9:55 to 10:10, from 10:35 to 11:35, anytime after 12:40\nTuesday: Booked at the following times: from 9:10 to 9:15, from 10:45 to 11:45\nWednesday: Free only at the following times: anytime before 10:00, from 11:20 to 12:15, from 13:25 to 13:55, anytime after 15:05\nThursday: Booked at the following times: from 10:00 to 10:55, from 11:25 to 12:05, from 12:35 to 13:35\nFriday: Booked at the following times: from 9:05 to 10:10, from 11:25 to 12:55\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:25, from 11:20 to 12:25\nTuesday: Booked at the following times: from 9:40 to 10:45, from 11:30 to 13:00, from 14:20 to 14:55, from 15:35 to 16:50\nWednesday: Free only at the following times: anytime before 9:45, from 11:10 to 12:05, from 12:20 to 12:35, from 12:55 to 13:40, from 14:45 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:25, from 11:45 to 13:10, from 13:20 to 13:35, from 13:55 to 17:00\nFriday: Booked at the following times: from 9:10 to 10:30, from 11:05 to 11:55, from 13:05 to 13:45\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:15, from 10:45 to 10:55, from 11:25 to 17:00\nTuesday: Free only at the following times: anytime before 9:25, from 9:45 to 10:40, from 11:45 to 13:15, from 13:35 to 14:40, anytime after 15:45\nWednesday: Free only at the following times: anytime before 9:30, from 10:05 to 10:05, from 11:10 to 11:30, from 12:00 to 17:00\nThursday: Free only at the following times: anytime before 10:15, from 10:55 to 11:00, anytime after 11:30\nFriday: Booked at the following times: from 9:30 to 10:20, from 10:20 to 11:45\n\n\nZoey is in a timezone that is one hour ahead of other participants\nCharlotte is fine to stay until 6pm to accommodate the meeting\nAmelia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nYolanda can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nEmma is flexible to miss the last (at most) 10 minutes of the meeting\nRachel prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:057", "request": "Alice, Amelia, Rachel, Zoey and Victoria work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 10:00, from 10:05 to 11:10\nTuesday: Free only at the following times: anytime before 10:30, from 10:55 to 12:15, from 12:50 to 17:00\nWednesday: Booked at the following times: from 10:10 to 11:00, from 11:05 to 11:20, from 11:45 to 13:10\nThursday: Free only at the following times: anytime before 10:30, from 11:00 to 11:00, from 12:10 to 12:20, anytime after 13:45\nFriday: Booked at the following times: from 10:10 to 11:30, from 12:25 to 13:40, from 13:50 to 15:05\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:05, from 9:15 to 10:05, from 10:10 to 11:20, from 11:35 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:05, from 10:25 to 10:35, anytime after 10:55\nWednesday: Booked at the following times: from 10:15 to 11:00, from 12:10 to 12:30, from 13:10 to 13:15\nThursday: Free only at the following times: anytime before 10:20, from 10:55 to 12:05, from 13:25 to 14:40, from 15:45 to 16:55\nFriday: Free only at the following times: anytime before 9:10, from 10:20 to 10:20, from 11:05 to 12:15, from 12:20 to 13:15, anytime after 14:15\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:10 to 11:40, from 12:15 to 13:10, anytime after 14:05\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:45 to 10:50, from 11:35 to 12:30, from 12:55 to 14:00, from 14:55 to 17:00\nWednesday: Booked at the following times: from 10:25 to 11:50, from 12:50 to 12:55, from 13:00 to 14:15\nThursday: Booked at the following times: from 9:30 to 10:30, from 11:30 to 12:40\nFriday: Booked at the following times: from 10:25 to 11:55, from 12:25 to 13:00, from 13:45 to 14:40, from 14:45 to 15:25\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:30, from 11:55 to 13:10, from 13:40 to 15:10\nTuesday: Booked at the following times: from 9:15 to 10:00, from 10:40 to 10:50, from 11:55 to 13:25\nWednesday: Booked at the following times: from 10:00 to 10:15, from 10:25 to 11:10\nThursday: Booked at the following times: from 9:35 to 11:00, from 12:25 to 13:45\nFriday: Free only at the following times: anytime before 10:00, from 10:55 to 11:10, anytime after 12:40\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 10:35 to 10:55, from 12:00 to 13:00, from 14:10 to 15:15, anytime after 16:25\nTuesday: Free only at the following times: anytime before 10:25, from 11:25 to 12:25, from 12:55 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:10, from 10:15 to 10:30, from 10:40 to 11:35, from 12:35 to 17:00\nThursday: Free only at the following times: anytime before 9:55, from 10:15 to 11:30, from 12:00 to 12:10, from 13:15 to 14:25, anytime after 15:45\nFriday: Booked at the following times: from 10:05 to 11:00, from 12:30 to 14:00, from 15:00 to 15:05, from 15:05 to 16:30\n\n\nAlice can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nAmelia is flexible to miss the last (at most) 10 minutes of the meeting\nRachel prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nZoey feels tired late in the day and requires the meeting to end before 4pm\nVictoria needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:061", "request": "Nancy, Claire, Zoey and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:10, from 10:55 to 11:50, from 13:05 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:30 to 11:35, anytime after 13:00\nWednesday: Free only at the following times: from 9:00 to 9:55, from 11:05 to 11:05, from 11:10 to 11:40, from 12:00 to 17:00\nThursday: Booked at the following times: from 9:45 to 11:15, from 12:15 to 13:30, from 14:45 to 15:05\nFriday: Free only at the following times: anytime before 9:15, from 10:15 to 10:30, from 11:50 to 13:20, from 14:20 to 15:30\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:20, from 11:40 to 11:55, from 12:40 to 13:00, from 13:05 to 13:30, from 14:05 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:20, from 10:35 to 11:30, from 12:45 to 13:40, from 14:30 to 15:20, from 16:05 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:05, from 10:35 to 12:00, from 12:05 to 12:55, from 13:35 to 17:00\nThursday: Booked at the following times: from 9:15 to 10:15, from 10:35 to 11:10, from 12:25 to 13:45\nFriday: Free only at the following times: from 9:00 to 9:20, from 10:35 to 11:45, from 13:10 to 17:00\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:10, from 10:35 to 11:55, from 12:10 to 13:20, from 14:10 to 14:45\nTuesday: Free only at the following times: from 9:00 to 9:55, from 11:05 to 12:30, from 13:40 to 14:35, from 15:05 to 17:00\nWednesday: Booked at the following times: from 9:55 to 10:40, from 10:40 to 12:10, from 12:15 to 12:40\nThursday: Booked at the following times: from 10:25 to 11:50, from 13:10 to 13:50, from 13:50 to 14:40\nFriday: Free only at the following times: from 9:00 to 9:55, from 10:25 to 11:15, from 12:35 to 13:50, anytime after 15:10\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:40, from 12:05 to 12:15, from 13:25 to 13:35, from 13:50 to 14:15\nTuesday: Booked at the following times: from 9:00 to 10:05, from 10:10 to 11:00, from 11:45 to 13:15\nWednesday: Booked at the following times: from 10:20 to 11:40, from 13:05 to 14:00, from 14:20 to 15:30, from 16:20 to 16:30\nThursday: Booked at the following times: from 10:15 to 11:00, from 11:40 to 12:00\nFriday: Free only at the following times: from 9:00 to 10:30, from 11:25 to 12:55, from 13:20 to 14:10, from 15:00 to 16:10, from 16:55 to 17:00\n\n\nNancy is fine to stay until 6pm to accommodate the meeting\nClaire asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nZoey is flexible to miss (at most) 10 minutes of the meeting\nMary can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:062", "request": "Zoey, Lisa, Karen, Rachel and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:10, from 10:40 to 10:50, from 12:20 to 12:50\nTuesday: Booked at the following times: from 9:35 to 10:35, from 11:15 to 12:20\nWednesday: Booked at the following times: from 9:40 to 9:50, from 10:35 to 10:50\nThursday: Booked at the following times: from 10:25 to 11:45, from 11:55 to 13:00, from 14:20 to 15:40\nFriday: Booked at the following times: from 9:20 to 10:15, from 11:20 to 12:25, from 13:20 to 13:40\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 10:15 to 10:30, from 11:35 to 12:00, from 12:55 to 14:25, anytime after 14:40\nTuesday: Free only at the following times: anytime before 10:20, from 10:45 to 11:05, from 12:30 to 12:30, from 13:45 to 13:55, from 15:10 to 17:00\nWednesday: Booked at the following times: from 9:05 to 9:55, from 10:40 to 12:00, from 13:15 to 13:20, from 13:20 to 13:25\nThursday: Booked at the following times: from 9:10 to 10:20, from 11:00 to 11:05, from 11:15 to 11:40, from 11:45 to 12:25\nFriday: Free only at the following times: anytime before 9:10, from 9:50 to 10:30, from 11:10 to 17:00\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:35, from 9:40 to 10:20, from 11:40 to 13:05, from 13:50 to 17:00\nTuesday: Booked at the following times: from 9:40 to 10:45, from 10:45 to 10:55\nWednesday: Free only at the following times: from 9:00 to 9:55, from 10:25 to 10:45, from 10:50 to 12:20, anytime after 12:55\nThursday: Booked at the following times: from 9:35 to 10:45, from 12:15 to 13:00, from 13:30 to 14:00, from 15:30 to 16:50\nFriday: Booked at the following times: from 9:00 to 9:30, from 11:00 to 12:15, from 12:25 to 13:00, from 13:10 to 13:25\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:45, from 12:40 to 12:50\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:00 to 11:05, from 11:15 to 17:00\nWednesday: Booked at the following times: from 10:25 to 10:40, from 11:45 to 13:05, from 13:35 to 14:55, from 15:40 to 16:00\nThursday: Free only at the following times: from 10:15 to 10:50, anytime after 11:55\nFriday: Booked at the following times: from 9:30 to 11:00, from 11:45 to 11:55, from 12:10 to 12:30\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:25, from 10:10 to 11:35\nTuesday: Free only at the following times: anytime before 10:20, from 11:05 to 11:10, anytime after 12:30\nWednesday: Free only at the following times: from 9:00 to 9:05, from 10:30 to 11:15, from 11:20 to 12:30, anytime after 13:10\nThursday: Booked at the following times: from 10:10 to 10:35, from 11:25 to 12:55, from 13:40 to 15:05, anytime after 16:10\nFriday: Booked at the following times: from 10:00 to 10:10, from 11:00 to 11:10, from 11:20 to 11:50, from 12:55 to 13:25\n\n\nZoey asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLisa is in a timezone that is one hour ahead of other participants\nKaren is fine to stay until 6pm to accommodate the meeting\nRachel asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nAlice needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:063", "request": "Lisa, Rachel, Isabella and Amelia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 10:25 to 10:25, from 11:55 to 12:20, from 12:35 to 12:45, from 13:10 to 17:00\nTuesday: Free only at the following times: anytime before 10:30, from 10:50 to 11:30, from 12:25 to 12:25, from 12:45 to 13:40, from 14:25 to 17:00\nWednesday: Free only at the following times: anytime before 9:20, from 10:35 to 12:00, from 13:10 to 14:25, from 15:15 to 16:25, from 16:50 to 17:00\nThursday: Booked at the following times: from 9:55 to 10:50, from 12:00 to 13:05, from 13:05 to 14:20, from 14:35 to 15:20\nFriday: Free only at the following times: anytime before 9:35, from 10:30 to 10:30, anytime after 10:40\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:40 to 10:10, from 10:30 to 11:05, anytime after 12:15\nTuesday: Booked at the following times: from 9:10 to 10:05, from 10:20 to 10:40, from 10:50 to 12:20\nWednesday: Free only at the following times: anytime before 10:05, from 11:15 to 12:35, from 12:55 to 14:05, from 14:10 to 15:10, from 15:25 to 17:00\nThursday: Booked at the following times: from 9:45 to 11:10, from 11:25 to 11:45\nFriday: Free only at the following times: anytime before 10:15, from 10:40 to 11:20, from 11:40 to 17:00\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:30, from 10:15 to 11:10, from 12:20 to 13:15, from 14:15 to 17:00\nTuesday: Booked at the following times: from 9:05 to 10:20, from 10:35 to 11:45\nWednesday: Free only at the following times: from 9:10 to 9:25, from 10:10 to 17:00\nThursday: Free only at the following times: anytime before 10:10, from 11:00 to 11:25, from 11:35 to 12:50, from 13:40 to 17:00\nFriday: Free only at the following times: anytime before 9:35, from 10:00 to 10:40, from 11:15 to 11:45, from 11:55 to 12:15, anytime after 12:25\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:10 to 10:30, from 11:00 to 11:10, from 12:30 to 13:15, from 14:15 to 17:00\nTuesday: Free only at the following times: anytime before 10:15, from 11:00 to 11:15, from 11:35 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:40 to 11:50, anytime after 13:20\nThursday: Booked at the following times: from 10:10 to 11:00, from 12:25 to 12:50, from 13:35 to 13:40, from 15:00 to 16:05\nFriday: Free only at the following times: anytime before 10:20, from 11:30 to 11:45, from 11:50 to 17:00\n\n\nLisa can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nRachel asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nIsabella needs a break for lunch on Wednesday from 12:30 to 1:00\nAmelia asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:065", "request": "Rachel, Alice, Eve, Karen, Sarah and Claire work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:05 to 10:15, from 10:35 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:05, from 10:55 to 11:05, from 11:35 to 12:10, from 13:05 to 13:45, from 14:35 to 17:00\nWednesday: Free only at the following times: anytime before 9:55, from 11:10 to 11:25, from 11:35 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:25, from 11:35 to 12:30, from 13:45 to 14:00, from 14:25 to 15:55, from 16:05 to 17:00\nFriday: Free only at the following times: anytime before 9:30, from 9:55 to 11:00, from 12:05 to 12:20, from 13:40 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 10:45, from 11:40 to 13:05, from 13:50 to 14:20\nTuesday: Booked at the following times: from 9:50 to 10:20, from 10:50 to 11:30\nWednesday: Free only at the following times: anytime before 9:05, from 10:15 to 11:10, from 11:45 to 12:30, from 13:15 to 13:40, anytime after 14:55\nThursday: Free only at the following times: anytime before 9:10, from 10:00 to 10:20, from 11:50 to 17:00\nFriday: Booked at the following times: from 9:35 to 10:00, from 10:30 to 11:30, from 12:45 to 14:10, from 15:10 to 16:05\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 11:05, from 12:20 to 12:25, from 12:35 to 13:20, from 14:35 to 15:30\nTuesday: Booked at the following times: from 9:10 to 9:45, from 10:00 to 11:30, from 11:45 to 12:35\nWednesday: Booked at the following times: anytime before 9:55, from 9:55 to 10:50, from 12:15 to 12:20, from 12:50 to 13:00\nThursday: Free only at the following times: anytime before 10:30, from 11:20 to 11:45, from 12:50 to 13:45, from 14:45 to 17:00\nFriday: Booked at the following times: from 10:20 to 10:50, from 11:45 to 12:40, from 13:35 to 13:50\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:05, from 10:45 to 11:35, from 11:50 to 17:00\nTuesday: Booked at the following times: from 10:05 to 11:30, from 12:40 to 13:35\nWednesday: Free only at the following times: anytime before 9:45, from 10:25 to 11:50, from 13:05 to 13:55, from 14:20 to 15:05, anytime after 15:50\nThursday: Free only at the following times: from 9:00 to 9:15, from 10:30 to 11:05, from 11:10 to 17:00\nFriday: Free only at the following times: anytime before 9:50, from 11:10 to 11:10, anytime after 12:15\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:25, from 10:35 to 10:40, from 11:25 to 12:45, from 12:55 to 13:30\nTuesday: Free only at the following times: anytime before 9:40, from 10:55 to 12:05, from 12:25 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:05, from 11:10 to 12:20, from 13:35 to 15:05, from 15:10 to 15:25, anytime after 16:50\nThursday: Free only at the following times: from 9:00 to 9:45, from 9:50 to 11:20, from 12:20 to 13:45, from 15:05 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:25, from 9:45 to 11:00, from 12:20 to 17:00\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:05, from 11:30 to 11:35, from 12:55 to 14:10, from 14:20 to 17:00\nTuesday: Free only at the following times: from 9:05 to 9:25, anytime after 10:35\nWednesday: Booked at the following times: from 9:20 to 9:50, from 10:05 to 10:20, from 11:05 to 11:45\nThursday: Free only at the following times: anytime before 9:05, from 9:45 to 10:25, from 11:20 to 11:50, from 13:20 to 14:15, anytime after 15:15\nFriday: Free only at the following times: anytime before 9:15, from 10:20 to 10:50, from 11:05 to 11:55, from 12:05 to 12:15, anytime after 13:40\n\n\nRachel feels tired late in the day and requires the meeting to end before 4pm\nAlice is fine to stay until 6pm to accommodate the meeting\nEve is flexible to miss (at most) 10 minutes of the meeting\nKaren needs a break for lunch on Wednesday from 12:30 to 1:00\nSarah asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nClaire prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:067", "request": "Amelia, Victoria, Alice, Karen and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:00, from 11:15 to 12:45, from 13:25 to 14:15, from 15:25 to 15:30\nTuesday: Booked at the following times: from 10:20 to 10:55, from 11:10 to 12:00\nWednesday: Free only at the following times: from 9:00 to 9:50, from 10:00 to 11:10, anytime after 11:40\nThursday: Booked at the following times: from 9:20 to 9:45, from 10:05 to 11:30, from 12:40 to 12:55, from 14:20 to 14:45\nFriday: Free only at the following times: anytime before 10:15, from 10:50 to 11:05, anytime after 11:20\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:15, from 9:40 to 10:10, from 11:05 to 12:15, from 12:25 to 13:15, from 14:25 to 17:00\nTuesday: Booked at the following times: from 10:30 to 11:05, from 11:40 to 13:10, from 14:05 to 14:40, from 15:40 to 16:30\nWednesday: Booked at the following times: from 9:55 to 10:05, from 10:15 to 11:20, from 11:35 to 12:20, from 13:50 to 15:05\nThursday: Booked at the following times: from 9:15 to 10:00, from 10:15 to 10:45, from 12:10 to 12:50, from 13:50 to 15:05\nFriday: Free only at the following times: from 9:00 to 10:10, from 10:35 to 11:35, from 12:50 to 14:00, from 15:05 to 16:05, anytime after 16:20\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:55, from 10:55 to 11:20, from 12:35 to 13:15, from 14:30 to 16:00, from 16:30 to 17:00\nTuesday: Booked at the following times: anytime before 9:50, from 9:55 to 11:15, from 12:45 to 14:00\nWednesday: Booked at the following times: from 9:05 to 10:00, from 10:35 to 11:45, from 12:00 to 13:05, from 13:15 to 14:25\nThursday: Free only at the following times: anytime before 10:25, from 10:50 to 11:55, from 12:55 to 14:10, from 14:15 to 15:05, from 15:10 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:10, from 10:15 to 10:50, from 11:00 to 17:00\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 12:00, from 12:05 to 12:45, from 13:25 to 14:10\nTuesday: Free only at the following times: anytime before 10:15, from 10:25 to 10:25, from 11:10 to 11:45, from 13:05 to 13:50, from 14:45 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:05 to 11:30, from 12:55 to 14:15, from 15:35 to 16:40\nThursday: Booked at the following times: from 9:10 to 10:05, from 10:10 to 10:55, from 11:25 to 12:15\nFriday: Booked at the following times: from 10:05 to 11:05, from 11:10 to 12:15, from 13:00 to 14:10, from 15:30 to 16:25\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:25, from 10:35 to 10:40\nTuesday: Free only at the following times: anytime before 9:40, from 10:35 to 11:15, from 11:25 to 12:35, from 13:35 to 17:00\nWednesday: Booked at the following times: from 9:50 to 11:00, from 11:10 to 12:10\nThursday: Free only at the following times: from 9:50 to 10:15, from 10:40 to 12:00, from 12:20 to 17:00\nFriday: Booked at the following times: from 10:05 to 10:40, from 11:20 to 12:30, from 13:10 to 14:15\n\n\nAmelia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nVictoria is in a timezone that is one hour ahead of other participants\nAlice is flexible to miss the last (at most) 10 minutes of the meeting\nKaren needs a break for lunch on Wednesday from 12:30 to 1:00\nCharlotte is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:068", "request": "Isabella, Charlotte, Amelia, Nancy and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:40, from 9:45 to 10:10\nTuesday: Free only at the following times: anytime before 9:35, from 10:10 to 11:10, anytime after 11:40\nWednesday: Free only at the following times: from 9:00 to 9:45, from 10:00 to 11:05, from 11:40 to 12:50, from 13:15 to 13:20, anytime after 14:00\nThursday: Booked at the following times: from 10:10 to 10:55, from 11:30 to 12:10, from 12:55 to 13:15, from 13:30 to 13:40\nFriday: Free only at the following times: from 9:00 to 9:10, from 9:55 to 10:30, from 10:45 to 10:50, from 11:20 to 12:15, anytime after 13:45\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 10:50 to 11:30, from 12:10 to 12:55, from 13:10 to 13:35, from 14:10 to 17:00\nTuesday: Booked at the following times: from 9:25 to 10:30, from 11:50 to 12:30, from 13:15 to 14:15, from 14:25 to 14:30\nWednesday: Booked at the following times: from 9:05 to 9:50, from 10:30 to 11:45\nThursday: Free only at the following times: anytime before 9:40, from 9:45 to 10:05, from 11:10 to 11:35, from 12:50 to 14:05, from 14:55 to 17:00\nFriday: Booked at the following times: from 10:00 to 10:35, from 10:55 to 11:10, from 12:15 to 13:00, from 13:40 to 14:15\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 10:20 to 11:30, from 12:25 to 12:35, anytime after 13:10\nTuesday: Booked at the following times: from 10:05 to 10:20, from 10:45 to 11:20, from 12:05 to 12:40, from 13:50 to 14:20\nWednesday: Free only at the following times: anytime before 9:50, from 11:10 to 12:30, from 13:40 to 14:40, from 15:45 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:10, from 9:45 to 11:05, from 11:45 to 17:00\nFriday: Free only at the following times: anytime before 10:05, from 10:20 to 11:10, from 11:55 to 12:55, anytime after 13:55\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:40, from 12:00 to 12:45, from 13:50 to 15:00, from 16:10 to 16:25\nTuesday: Booked at the following times: from 9:35 to 10:50, from 11:40 to 12:50\nWednesday: Booked at the following times: from 10:15 to 10:45, from 11:15 to 12:45, from 14:05 to 14:15, from 14:15 to 15:00\nThursday: Booked at the following times: from 10:20 to 10:35, from 10:45 to 10:55, from 12:15 to 13:00, from 14:20 to 15:15\nFriday: Free only at the following times: anytime before 9:20, from 10:15 to 10:45, from 12:15 to 13:00, from 13:05 to 13:25, from 13:55 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 11:05, from 11:40 to 12:55\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:40 to 11:30, from 11:55 to 13:20, from 13:55 to 17:00\nWednesday: Booked at the following times: from 10:25 to 11:30, from 12:30 to 12:40\nThursday: Free only at the following times: from 9:00 to 9:35, from 9:40 to 10:50, anytime after 11:50\nFriday: Free only at the following times: from 9:25 to 9:35, from 11:00 to 12:15, anytime after 13:25\n\n\nIsabella can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nCharlotte is flexible to miss the last (at most) 10 minutes of the meeting\nAmelia needs a break for lunch on Wednesday from 12:30 to 1:00\nNancy feels tired late in the day and requires the meeting to end before 4pm\nAlice is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:072", "request": "Isabella, Amelia, Claire, Yolanda, Victoria and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:35, from 9:40 to 11:10, from 12:25 to 12:25, from 13:10 to 17:00\nTuesday: Free only at the following times: anytime before 10:10, from 11:35 to 12:35, from 12:50 to 12:50, from 14:10 to 17:00\nWednesday: Booked at the following times: from 9:20 to 10:30, from 11:55 to 12:50\nThursday: Booked at the following times: from 9:30 to 9:40, from 11:00 to 11:40, from 12:45 to 13:40, from 14:30 to 14:50\nFriday: Free only at the following times: from 10:30 to 10:30, from 11:55 to 12:45, anytime after 14:05\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:20, from 10:30 to 10:50, from 11:30 to 12:05, from 12:50 to 14:20, from 15:30 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:45 to 11:05, from 12:30 to 12:55, from 13:00 to 17:00\nWednesday: Booked at the following times: from 9:35 to 10:05, from 10:45 to 11:40, from 12:35 to 13:50, from 14:45 to 15:15\nThursday: Free only at the following times: anytime before 9:40, from 11:10 to 12:05, from 12:50 to 13:10, from 14:25 to 15:10, anytime after 15:55\nFriday: Free only at the following times: anytime before 10:10, from 11:15 to 11:25, from 12:40 to 17:00\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:05, from 10:30 to 11:35, from 12:50 to 14:20, anytime after 15:30\nTuesday: Free only at the following times: anytime before 10:25, from 10:45 to 11:40, from 11:45 to 12:00, from 12:35 to 13:35, anytime after 13:55\nWednesday: Booked at the following times: anytime before 9:45, from 10:30 to 11:55, from 12:20 to 13:15\nThursday: Free only at the following times: from 9:00 to 9:40, from 10:30 to 11:10, from 12:35 to 13:20, anytime after 14:20\nFriday: Booked at the following times: from 9:05 to 9:25, from 10:45 to 11:55\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:20, from 11:05 to 12:25, from 12:45 to 12:55, anytime after 13:50\nTuesday: Booked at the following times: from 10:05 to 11:10, from 12:30 to 12:35\nWednesday: Free only at the following times: from 9:00 to 10:00, from 11:00 to 11:30, from 12:10 to 17:00\nThursday: Free only at the following times: anytime before 10:10, from 10:25 to 10:25, from 10:50 to 11:20, from 12:45 to 13:10, from 13:25 to 17:00\nFriday: Booked at the following times: from 9:35 to 9:45, from 10:00 to 10:20, from 11:20 to 12:35, from 12:50 to 13:20\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: anytime before 9:45, from 10:05 to 10:35\nTuesday: Free only at the following times: anytime before 9:25, from 9:35 to 9:45, from 9:50 to 10:50, from 11:05 to 17:00\nWednesday: Booked at the following times: from 9:25 to 9:55, from 10:25 to 11:05\nThursday: Booked at the following times: from 10:15 to 10:20, from 10:50 to 11:30, from 11:50 to 12:20\nFriday: Free only at the following times: anytime before 9:55, from 10:25 to 10:50, from 12:05 to 12:55, from 13:50 to 14:40, anytime after 14:50\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:40, from 12:05 to 12:40, from 12:50 to 13:05\nTuesday: Free only at the following times: anytime before 9:20, from 9:45 to 11:00, from 12:15 to 12:20, from 12:55 to 13:25, anytime after 14:15\nWednesday: Free only at the following times: anytime before 10:20, from 11:45 to 12:40, from 13:10 to 13:45, from 14:05 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:20, from 10:30 to 11:10, from 12:10 to 13:15, from 14:10 to 14:55, from 15:25 to 17:00\nFriday: Booked at the following times: from 10:25 to 11:20, from 12:20 to 12:40\n\n\nIsabella is flexible to miss the last (at most) 10 minutes of the meeting\nAmelia can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nClaire prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nYolanda prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nVictoria is in a timezone that is one hour ahead of other participants\nOlivia can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:073", "request": "Karen, Ava and Rachel work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:00, from 12:30 to 13:05, from 14:25 to 15:45\nTuesday: Booked at the following times: from 9:15 to 10:35, from 12:05 to 13:35, from 13:50 to 14:25\nWednesday: Free only at the following times: anytime before 9:05, from 9:55 to 10:55, from 11:35 to 12:20, from 12:40 to 13:15, from 14:00 to 17:00\nThursday: Booked at the following times: from 9:45 to 11:10, from 11:55 to 13:00\nFriday: Free only at the following times: anytime before 10:20, from 11:25 to 12:35, from 13:15 to 13:30, anytime after 14:40\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:55, from 13:10 to 14:20, from 14:30 to 15:45\nTuesday: Booked at the following times: from 10:15 to 10:20, from 11:35 to 13:00, from 13:35 to 14:20\nWednesday: Booked at the following times: from 9:35 to 9:40, from 9:40 to 9:55, from 10:55 to 11:20\nThursday: Booked at the following times: from 9:20 to 10:00, from 11:00 to 11:05, from 12:00 to 12:05\nFriday: Booked at the following times: from 9:35 to 10:05, from 10:55 to 11:40, from 12:10 to 12:45\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:05, from 11:15 to 12:10, anytime after 13:30\nTuesday: Free only at the following times: anytime before 9:25, from 9:45 to 10:45, anytime after 11:05\nWednesday: Free only at the following times: from 9:55 to 10:50, anytime after 11:05\nThursday: Booked at the following times: from 9:20 to 10:30, from 10:45 to 11:25, from 11:40 to 12:15, from 12:25 to 13:45\nFriday: Booked at the following times: from 9:35 to 10:45, from 10:45 to 11:10, from 12:30 to 12:35, from 12:45 to 14:05\n\n\nKaren asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nAva prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nRachel needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:074", "request": "Eve, Victoria and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:00 to 9:15, from 10:00 to 11:30, from 11:40 to 12:40\nTuesday: Booked at the following times: from 9:30 to 10:15, from 10:25 to 11:15, from 12:35 to 12:45, from 14:05 to 14:35\nWednesday: Booked at the following times: from 9:15 to 10:25, from 10:50 to 11:20, from 12:10 to 13:05\nThursday: Free only at the following times: from 9:00 to 10:15, from 10:40 to 11:25, anytime after 12:50\nFriday: Free only at the following times: anytime before 10:15, from 11:35 to 13:00, from 13:50 to 14:55, anytime after 15:00\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:30, from 10:25 to 11:25, from 12:20 to 13:05, from 13:55 to 17:00\nTuesday: Booked at the following times: from 9:50 to 10:30, from 10:35 to 11:35, from 12:45 to 14:00, from 15:00 to 16:30\nWednesday: Free only at the following times: anytime before 9:50, from 11:05 to 12:35, from 13:05 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:35, from 11:05 to 12:10, anytime after 13:30\nFriday: Free only at the following times: anytime before 10:05, from 10:40 to 12:10, from 12:15 to 12:20, from 13:25 to 14:40, anytime after 15:25\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:15, from 11:45 to 12:30, from 13:45 to 13:55, from 14:55 to 15:20, from 16:00 to 17:00\nTuesday: Free only at the following times: anytime before 9:05, from 9:35 to 10:55, from 11:00 to 12:30, from 13:20 to 14:40, anytime after 15:15\nWednesday: Free only at the following times: from 9:00 to 9:30, from 10:20 to 10:25, anytime after 10:30\nThursday: Booked at the following times: from 10:00 to 11:05, from 12:15 to 13:25\nFriday: Booked at the following times: from 10:25 to 11:20, from 12:15 to 12:20, from 12:30 to 13:25\n\n\nEve is flexible to miss (at most) 10 minutes of the meeting\nVictoria asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nSarah is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:076", "request": "Lisa, Karen, Sarah and Nancy work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:10, from 10:40 to 11:30, from 12:50 to 13:40, from 14:20 to 15:00, anytime after 15:25\nTuesday: Booked at the following times: from 9:50 to 10:10, from 11:10 to 11:25, from 12:05 to 13:05\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:25 to 11:35, from 12:40 to 13:05, anytime after 13:50\nThursday: Booked at the following times: from 9:45 to 9:55, from 10:15 to 10:40\nFriday: Booked at the following times: from 10:15 to 11:05, from 11:55 to 13:10, from 13:10 to 13:25\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:15, from 10:35 to 11:15\nTuesday: Booked at the following times: from 10:15 to 11:05, from 11:20 to 11:55, from 12:15 to 12:50, from 13:45 to 15:00\nWednesday: Free only at the following times: anytime before 10:25, from 11:00 to 11:55, from 13:25 to 17:00\nThursday: Booked at the following times: from 9:30 to 10:05, from 11:00 to 12:20, from 13:50 to 14:00\nFriday: Free only at the following times: anytime before 9:10, from 10:20 to 11:40, from 12:15 to 13:15, anytime after 13:40\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:50, from 11:20 to 12:45, from 12:45 to 13:40\nTuesday: Free only at the following times: anytime before 10:00, from 10:50 to 12:20, from 13:50 to 15:10, from 16:30 to 17:00\nWednesday: Booked at the following times: from 10:20 to 11:30, from 11:55 to 13:05, from 13:35 to 14:10\nThursday: Free only at the following times: from 9:00 to 9:20, from 10:10 to 10:50, from 11:40 to 12:25, anytime after 12:35\nFriday: Booked at the following times: from 9:50 to 11:10, from 12:05 to 12:35, from 13:10 to 14:20\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:30 to 12:00, from 12:20 to 13:25, from 14:35 to 15:40, from 16:15 to 17:00\nTuesday: Free only at the following times: anytime before 9:05, from 10:25 to 10:50, anytime after 10:55\nWednesday: Free only at the following times: anytime before 9:35, from 10:50 to 11:05, from 11:35 to 12:45, from 13:00 to 17:00\nThursday: Free only at the following times: anytime before 9:10, from 10:15 to 10:15, from 10:45 to 11:00, from 11:30 to 17:00\nFriday: Booked at the following times: from 9:50 to 11:20, from 12:50 to 13:35, from 14:20 to 14:35, from 15:05 to 16:25\n\n\nLisa can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nKaren asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nSarah needs a break for lunch on Wednesday from 12:30 to 1:00\nNancy is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:078", "request": "Eve, Olivia, Rachel and Karen work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:55, from 10:30 to 11:10, from 11:45 to 12:25, from 12:30 to 17:00\nTuesday: Booked at the following times: from 9:30 to 10:40, from 11:45 to 12:30, from 13:15 to 13:40, from 13:55 to 15:20\nWednesday: Booked at the following times: from 10:30 to 10:40, from 11:05 to 11:25, from 11:35 to 11:55, from 12:55 to 13:10\nThursday: Booked at the following times: from 9:45 to 10:45, from 11:40 to 12:00, from 12:25 to 13:45, from 13:55 to 14:35\nFriday: Free only at the following times: from 9:00 to 9:30, from 10:05 to 11:00, from 11:35 to 12:25, anytime after 13:10\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:10, from 11:00 to 11:25, from 12:10 to 12:35\nTuesday: Free only at the following times: anytime before 10:10, from 10:40 to 12:10, from 13:10 to 14:25, from 14:30 to 17:00\nWednesday: Free only at the following times: anytime before 9:40, from 11:10 to 12:00, from 13:25 to 14:35, from 16:00 to 16:35, from 16:45 to 17:00\nThursday: Free only at the following times: anytime before 10:10, from 10:55 to 12:05, from 12:40 to 13:00, from 14:25 to 15:45, anytime after 16:50\nFriday: Free only at the following times: from 9:00 to 10:15, from 10:45 to 11:45, from 12:00 to 12:50, from 13:45 to 15:00, from 16:00 to 17:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:40, from 11:25 to 11:45, from 12:30 to 12:50, from 13:15 to 13:55\nTuesday: Free only at the following times: anytime before 9:30, from 10:20 to 11:35, from 11:45 to 13:10, from 13:15 to 14:35, from 15:55 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:40, from 10:40 to 10:50, anytime after 11:40\nThursday: Booked at the following times: from 10:00 to 11:20, from 11:25 to 12:50\nFriday: Free only at the following times: from 9:05 to 9:05, from 10:20 to 11:40, from 12:40 to 13:30, from 14:40 to 17:00\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:30, from 11:20 to 12:10, anytime after 13:35\nTuesday: Free only at the following times: anytime before 9:50, from 11:15 to 11:45, from 13:00 to 14:25, from 14:50 to 15:25, anytime after 15:40\nWednesday: Free only at the following times: anytime before 10:00, from 11:00 to 11:50, from 12:35 to 12:35, from 14:00 to 15:25, from 15:35 to 17:00\nThursday: Free only at the following times: anytime before 9:10, from 10:25 to 10:35, from 11:30 to 17:00\nFriday: Booked at the following times: from 9:10 to 10:20, from 11:25 to 11:30\n\n\nEve prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nOlivia is flexible to miss the last (at most) 10 minutes of the meeting\nRachel prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nKaren asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:080", "request": "Isabella, Lisa, Rachel, Nancy, Sophia and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:15, from 11:35 to 12:25\nTuesday: Free only at the following times: anytime before 10:10, from 10:30 to 10:55, from 11:30 to 12:55, from 14:20 to 15:00, from 15:15 to 17:00\nWednesday: Free only at the following times: anytime before 9:40, from 9:55 to 11:20, from 12:15 to 13:00, from 14:05 to 15:25, anytime after 15:40\nThursday: Free only at the following times: anytime before 10:20, from 10:40 to 11:10, anytime after 12:10\nFriday: Booked at the following times: from 10:05 to 11:20, from 11:20 to 11:35, from 12:50 to 13:00\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:10, from 9:35 to 11:05, anytime after 11:35\nTuesday: Free only at the following times: anytime before 10:10, from 11:30 to 12:40, from 12:55 to 13:50, anytime after 15:05\nWednesday: Booked at the following times: from 9:10 to 10:35, from 11:00 to 11:20, from 12:40 to 13:20, from 13:40 to 13:55\nThursday: Free only at the following times: from 9:00 to 9:40, from 9:55 to 11:10, from 12:15 to 13:25, anytime after 14:00\nFriday: Booked at the following times: from 9:25 to 10:00, from 10:35 to 11:55\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:05, from 10:50 to 12:05, from 13:00 to 17:00\nTuesday: Free only at the following times: anytime before 9:20, from 9:40 to 10:50, from 11:50 to 12:15, from 13:40 to 13:45, anytime after 14:15\nWednesday: Booked at the following times: from 9:10 to 9:35, from 9:35 to 9:50\nThursday: Free only at the following times: anytime before 10:25, from 10:45 to 11:55, anytime after 12:30\nFriday: Free only at the following times: from 9:00 to 9:45, from 9:55 to 10:50, from 12:00 to 12:00, from 12:45 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 11:05, from 12:15 to 12:55, from 12:55 to 13:25\nTuesday: Booked at the following times: from 9:55 to 10:45, from 10:55 to 12:10\nWednesday: Free only at the following times: anytime before 9:45, from 11:05 to 12:35, from 14:00 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:20, from 10:45 to 11:55, from 12:40 to 13:15, from 14:25 to 17:00\nFriday: Booked at the following times: from 10:05 to 11:35, from 11:45 to 13:15\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:30, from 10:40 to 10:50, from 11:50 to 17:00\nTuesday: Booked at the following times: from 10:25 to 10:45, from 11:40 to 12:50\nWednesday: Booked at the following times: anytime before 9:40, from 10:40 to 11:55\nThursday: Free only at the following times: from 9:00 to 10:25, from 10:30 to 11:00, from 11:40 to 11:40, from 11:50 to 12:15, anytime after 13:35\nFriday: Free only at the following times: from 9:00 to 10:15, from 11:20 to 12:20, from 13:20 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:05 to 11:20, from 11:40 to 12:45, anytime after 13:00\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:10 to 10:45, from 12:15 to 17:00\nWednesday: Free only at the following times: anytime before 9:40, from 9:55 to 11:25, from 12:25 to 12:40, from 13:35 to 15:05, anytime after 15:10\nThursday: Booked at the following times: from 9:45 to 10:25, from 11:00 to 12:15, from 13:20 to 14:35\nFriday: Booked at the following times: from 10:10 to 11:00, from 12:30 to 12:55\n\n\nIsabella is flexible to miss the last (at most) 10 minutes of the meeting\nLisa feels tired late in the day and requires the meeting to end before 4pm\nRachel prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nNancy is fine to stay until 6pm to accommodate the meeting\nSophia can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:081", "request": "Sarah, Zoey, Yolanda, Eve, Charlotte and Rachel work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:40, from 11:45 to 12:50, from 14:05 to 15:30\nTuesday: Booked at the following times: from 10:25 to 10:35, from 10:45 to 12:15, from 13:35 to 14:10, from 14:25 to 15:50\nWednesday: Free only at the following times: from 9:00 to 9:40, from 10:50 to 11:05, from 11:15 to 12:15, from 13:00 to 14:30, from 15:15 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:55, from 11:05 to 12:20, from 13:40 to 15:05, from 15:20 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:45, from 10:35 to 10:40, from 12:00 to 13:25, from 14:20 to 15:45, anytime after 15:55\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:40, from 11:05 to 11:15\nTuesday: Booked at the following times: from 10:10 to 11:35, from 11:55 to 12:35, from 13:10 to 14:40, from 15:40 to 16:40\nWednesday: Booked at the following times: from 10:20 to 10:25, from 11:20 to 12:15\nThursday: Free only at the following times: anytime before 10:25, from 10:35 to 11:50, from 12:40 to 13:00, from 14:25 to 14:45, from 15:15 to 17:00\nFriday: Booked at the following times: from 9:05 to 10:00, from 11:20 to 12:20, from 13:05 to 14:10, from 15:30 to 15:45\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:10, from 11:20 to 11:30, anytime after 12:05\nTuesday: Free only at the following times: from 9:00 to 9:45, from 10:40 to 11:50, from 13:15 to 14:40, from 15:15 to 15:35, from 16:50 to 17:00\nWednesday: Free only at the following times: anytime before 10:25, from 11:55 to 12:25, from 13:55 to 14:30, anytime after 15:55\nThursday: Booked at the following times: from 10:10 to 10:35, from 11:00 to 11:35\nFriday: Free only at the following times: from 9:00 to 9:45, from 10:35 to 11:20, from 11:30 to 12:00, from 13:20 to 17:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:25 to 9:45, from 10:00 to 10:15, from 11:05 to 11:15\nTuesday: Booked at the following times: from 9:15 to 10:10, from 10:35 to 10:45, from 11:45 to 12:15, from 12:50 to 13:45\nWednesday: Booked at the following times: anytime before 9:05, from 9:20 to 10:15, from 11:40 to 11:55, from 11:55 to 13:00\nThursday: Booked at the following times: from 9:00 to 10:15, from 11:45 to 11:55, from 12:30 to 13:40\nFriday: Free only at the following times: anytime before 9:35, from 10:25 to 11:10, from 11:35 to 11:55, from 12:30 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:25, from 10:25 to 11:20, from 12:30 to 13:30\nTuesday: Free only at the following times: anytime before 10:05, from 11:20 to 12:20, from 13:20 to 17:00\nWednesday: Booked at the following times: from 10:10 to 10:15, from 11:25 to 11:45\nThursday: Free only at the following times: anytime before 9:10, from 9:45 to 11:05, from 12:15 to 13:30, anytime after 13:40\nFriday: Booked at the following times: from 9:45 to 10:25, from 11:30 to 11:40, from 11:45 to 13:15\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:10, from 10:20 to 10:45, from 10:55 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:55, from 10:00 to 11:30, from 12:45 to 13:20, anytime after 13:30\nWednesday: Booked at the following times: from 9:55 to 10:40, from 12:05 to 13:10, from 14:25 to 15:20, from 16:30 to 16:45\nThursday: Booked at the following times: from 10:25 to 10:40, from 12:05 to 12:10, from 12:40 to 13:35\nFriday: Booked at the following times: anytime before 10:30, from 11:15 to 11:30, from 12:00 to 12:20\n\n\nSarah is flexible to miss (at most) 10 minutes of the meeting\nZoey can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nYolanda can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nEve prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nCharlotte is flexible to miss the last (at most) 10 minutes of the meeting\nRachel asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:083", "request": "Emma, Nancy, Victoria and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 10:40, from 11:30 to 12:40, from 14:05 to 14:20\nTuesday: Free only at the following times: anytime before 9:05, from 9:25 to 9:45, from 9:55 to 10:45, from 11:10 to 12:15, from 13:20 to 17:00\nWednesday: Booked at the following times: from 10:15 to 11:15, from 12:40 to 13:55, from 14:50 to 16:10\nThursday: Booked at the following times: from 9:40 to 10:00, from 11:05 to 11:25\nFriday: Free only at the following times: from 9:00 to 10:00, from 11:15 to 11:20, from 11:35 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:35 to 12:50, anytime after 13:25\nTuesday: Booked at the following times: from 9:30 to 9:55, from 10:35 to 11:15, from 12:30 to 13:30\nWednesday: Booked at the following times: from 9:50 to 11:00, from 11:30 to 11:50, from 12:45 to 13:55\nThursday: Booked at the following times: from 10:15 to 11:10, from 12:40 to 13:40, from 14:55 to 15:55\nFriday: Free only at the following times: from 9:00 to 9:15, from 9:30 to 10:30, from 10:55 to 11:00, from 11:35 to 12:50, from 13:45 to 17:00\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:25, from 11:25 to 12:45, from 13:35 to 14:50\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:20 to 10:55, anytime after 11:00\nWednesday: Booked at the following times: from 9:55 to 11:15, from 11:55 to 12:10, from 12:50 to 13:55, from 14:50 to 14:55\nThursday: Booked at the following times: from 10:05 to 10:30, from 10:45 to 12:00, from 12:05 to 12:30\nFriday: Free only at the following times: anytime before 10:00, from 11:00 to 12:15, from 12:35 to 14:05, from 14:50 to 15:45, anytime after 16:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:10, from 10:05 to 11:30, from 11:55 to 11:55, from 12:30 to 17:00\nTuesday: Booked at the following times: from 9:50 to 10:05, from 11:20 to 11:50\nWednesday: Free only at the following times: from 9:00 to 10:00, from 10:10 to 11:10, from 11:20 to 12:35, anytime after 12:40\nThursday: Booked at the following times: anytime before 9:50, from 10:20 to 11:10\nFriday: Free only at the following times: from 9:00 to 10:05, from 11:25 to 11:55, anytime after 12:55\n\n\nEmma prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nNancy asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nVictoria prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nAlice is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:084", "request": "Eve, Zoey, Karen, Olivia, Amelia and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 11:15, from 12:25 to 12:50, from 13:25 to 13:45\nTuesday: Booked at the following times: from 10:20 to 10:25, from 11:35 to 13:05, from 14:05 to 15:25\nWednesday: Booked at the following times: from 10:15 to 11:40, from 13:05 to 13:10\nThursday: Free only at the following times: anytime before 9:55, from 10:05 to 11:30, from 12:10 to 12:10, from 12:55 to 17:00\nFriday: Booked at the following times: from 10:20 to 10:55, from 11:20 to 11:45, from 11:55 to 13:10, from 14:15 to 14:45\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 11:10, from 12:05 to 12:40, from 13:05 to 14:20\nTuesday: Booked at the following times: from 9:00 to 10:15, from 10:40 to 11:20, from 12:40 to 13:55\nWednesday: Free only at the following times: anytime before 9:25, from 10:50 to 12:05, from 13:35 to 13:35, from 13:50 to 15:00, from 15:40 to 17:00\nThursday: Free only at the following times: anytime before 10:00, from 10:25 to 11:35, anytime after 12:25\nFriday: Booked at the following times: from 10:05 to 11:30, from 12:55 to 14:15, from 14:50 to 15:20, from 16:35 to 16:45\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:10, from 10:05 to 11:20, from 12:25 to 13:45, from 15:05 to 17:00\nTuesday: Free only at the following times: from 10:20 to 11:35, from 12:40 to 13:55, from 15:15 to 15:30, from 16:00 to 17:00\nWednesday: Booked at the following times: from 10:30 to 11:05, from 12:00 to 13:05, from 13:05 to 14:10, from 14:40 to 16:05\nThursday: Free only at the following times: from 9:00 to 9:20, from 10:05 to 11:05, from 11:40 to 12:45, from 13:25 to 14:30, anytime after 15:05\nFriday: Booked at the following times: from 9:15 to 9:20, from 9:30 to 10:55, from 12:20 to 13:10, from 13:55 to 14:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:55, from 12:05 to 12:55, from 13:15 to 13:45, from 14:30 to 15:15\nTuesday: Free only at the following times: anytime before 9:10, from 9:25 to 9:45, anytime after 11:10\nWednesday: Free only at the following times: anytime before 10:25, from 11:10 to 12:25, from 13:15 to 14:30, anytime after 14:55\nThursday: Booked at the following times: from 10:15 to 10:30, from 11:10 to 12:35, from 12:55 to 13:05, from 13:35 to 14:30\nFriday: Booked at the following times: from 9:55 to 10:10, from 11:25 to 12:55\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:45, from 11:35 to 12:10, from 12:30 to 12:50, from 12:55 to 13:20\nTuesday: Free only at the following times: anytime before 10:00, from 10:35 to 11:30, from 12:50 to 17:00\nWednesday: Booked at the following times: from 9:55 to 11:25, from 12:35 to 13:55\nThursday: Free only at the following times: anytime before 10:10, from 10:30 to 11:25, anytime after 12:00\nFriday: Free only at the following times: from 10:00 to 11:30, from 11:40 to 12:10, anytime after 12:50\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:00, from 11:30 to 11:30, from 12:35 to 13:15, from 13:50 to 13:55, from 14:15 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:40, from 11:05 to 11:20, from 11:45 to 13:05, from 13:15 to 14:35, anytime after 14:50\nWednesday: Booked at the following times: from 10:30 to 12:00, from 12:35 to 12:40, from 13:50 to 14:25\nThursday: Booked at the following times: from 9:15 to 9:25, from 10:25 to 11:05, from 11:05 to 11:35, from 12:15 to 12:35\nFriday: Free only at the following times: from 9:00 to 9:20, from 9:55 to 10:25, from 10:30 to 11:00, from 11:05 to 17:00\n\n\nEve is fine to stay until 6pm to accommodate the meeting\nZoey prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nKaren feels tired late in the day and requires the meeting to end before 4pm\nOlivia needs a break for lunch on Wednesday from 12:30 to 1:00\nAmelia is in a timezone that is one hour ahead of other participants\nAlice asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:085", "request": "Sophia, Ava, Nancy and Karen work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:55 to 11:30, from 12:40 to 13:35, from 14:20 to 14:35, anytime after 14:55\nTuesday: Booked at the following times: from 10:20 to 10:30, from 11:15 to 11:30, from 13:00 to 14:00\nWednesday: Free only at the following times: anytime before 9:15, from 10:00 to 10:00, from 11:20 to 12:45, from 13:35 to 14:45, from 16:00 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:10, from 9:35 to 10:25, from 10:55 to 12:15, anytime after 13:20\nFriday: Free only at the following times: from 9:00 to 9:10, from 10:40 to 11:40, anytime after 12:20\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:15, from 10:50 to 12:10, from 13:35 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:10, from 10:30 to 10:50, from 12:00 to 12:00, from 12:30 to 13:30, from 15:00 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:35, from 11:05 to 11:10, from 12:35 to 17:00\nThursday: Booked at the following times: from 10:25 to 10:35, from 11:30 to 12:35, from 13:45 to 14:20\nFriday: Booked at the following times: from 9:05 to 10:10, from 11:00 to 12:05, from 12:55 to 14:05\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 9:55 to 10:10, from 11:20 to 11:25, from 12:55 to 17:00\nTuesday: Free only at the following times: anytime before 9:25, from 10:00 to 10:05, anytime after 11:15\nWednesday: Free only at the following times: anytime before 9:20, from 10:15 to 11:30, from 11:50 to 17:00\nThursday: Booked at the following times: from 10:25 to 11:50, from 12:50 to 13:05, from 13:55 to 15:05\nFriday: Free only at the following times: from 9:00 to 9:40, from 11:10 to 12:20, from 13:00 to 14:30, from 15:05 to 15:15, anytime after 16:30\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:20, from 10:35 to 11:10\nTuesday: Booked at the following times: from 9:40 to 10:10, from 10:30 to 12:00, from 12:15 to 13:15\nWednesday: Booked at the following times: from 10:15 to 10:45, from 10:50 to 12:20, from 13:05 to 14:20\nThursday: Free only at the following times: from 9:00 to 10:10, from 10:15 to 10:15, from 11:25 to 12:10, from 12:30 to 13:40, anytime after 13:50\nFriday: Booked at the following times: from 9:05 to 9:30, from 10:15 to 11:00, from 11:35 to 12:30, from 13:00 to 14:25\n\n\nSophia asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nAva is in a timezone that is one hour ahead of other participants\nNancy prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nKaren prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:086", "request": "Eve, Sophia, Ava, Karen and Claire work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:15, from 10:15 to 10:40, from 11:40 to 13:10, from 14:40 to 15:50\nTuesday: Booked at the following times: from 10:25 to 11:00, from 12:25 to 13:15\nWednesday: Free only at the following times: anytime before 10:05, from 10:40 to 11:40, from 12:40 to 13:50, from 14:35 to 15:25, from 15:55 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:40, from 10:40 to 12:10, from 13:15 to 17:00\nFriday: Booked at the following times: from 9:05 to 9:20, from 10:30 to 10:50, from 11:15 to 11:40, from 11:40 to 12:30\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:15, from 9:55 to 10:05, anytime after 11:00\nTuesday: Booked at the following times: from 9:50 to 10:55, from 11:10 to 12:15\nWednesday: Free only at the following times: from 9:25 to 10:35, from 11:25 to 12:20, from 12:55 to 17:00\nThursday: Free only at the following times: anytime before 10:20, from 10:45 to 11:35, from 12:40 to 17:00\nFriday: Booked at the following times: from 10:05 to 10:30, from 11:10 to 11:40, from 12:10 to 12:50, from 13:05 to 14:25\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 11:20 to 12:05, from 13:35 to 17:00\nTuesday: Booked at the following times: from 10:00 to 11:25, from 12:45 to 13:30\nWednesday: Free only at the following times: from 10:30 to 11:45, from 12:00 to 12:50, from 13:10 to 13:50, anytime after 14:05\nThursday: Free only at the following times: anytime before 9:05, from 10:20 to 11:35, from 13:05 to 14:30, from 15:10 to 16:10, anytime after 16:40\nFriday: Free only at the following times: anytime before 9:35, from 10:50 to 11:25, from 11:50 to 12:45, anytime after 13:15\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:25, from 11:15 to 12:10\nTuesday: Free only at the following times: anytime before 9:05, from 9:20 to 10:40, from 11:55 to 13:10, from 13:50 to 17:00\nWednesday: Free only at the following times: anytime before 9:55, from 10:25 to 11:10, from 12:15 to 17:00\nThursday: Booked at the following times: from 10:15 to 11:45, from 12:05 to 12:55, from 14:15 to 15:10, from 15:50 to 15:55\nFriday: Booked at the following times: from 9:20 to 9:45, from 10:35 to 12:00, from 12:00 to 13:30\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:45, from 12:45 to 12:55, from 14:25 to 15:45\nTuesday: Booked at the following times: from 10:25 to 10:30, from 10:45 to 11:20, from 11:20 to 12:50, from 14:05 to 14:20\nWednesday: Free only at the following times: from 9:00 to 9:30, from 10:35 to 11:10, from 11:45 to 11:55, from 12:55 to 12:55, from 14:05 to 17:00\nThursday: Booked at the following times: from 10:30 to 10:35, from 12:05 to 12:25\nFriday: Free only at the following times: from 9:00 to 10:05, from 11:20 to 12:45, from 12:50 to 13:10, anytime after 14:15\n\n\nEve is flexible to miss (at most) 10 minutes of the meeting\nSophia asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAva prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nKaren needs a break for lunch on Wednesday from 12:30 to 1:00\nClaire prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:088", "request": "Alice, Mary, Isabella, Zoey, Rachel and Claire work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:30 to 12:00, from 12:10 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:45 to 12:10, from 12:30 to 12:55, from 13:05 to 17:00\nWednesday: Booked at the following times: from 9:30 to 10:45, from 11:00 to 11:35, from 12:55 to 13:05\nThursday: Free only at the following times: anytime before 9:30, from 11:00 to 11:00, from 12:20 to 12:45, from 13:35 to 17:00\nFriday: Booked at the following times: from 10:10 to 10:20, from 10:20 to 10:55, from 11:40 to 12:05, from 12:55 to 13:45\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 9:25 to 10:25, from 10:50 to 11:25, from 11:50 to 17:00\nTuesday: Booked at the following times: from 10:10 to 11:30, from 12:05 to 13:35, from 13:40 to 14:05\nWednesday: Free only at the following times: anytime before 10:25, from 11:25 to 12:35, from 13:30 to 17:00\nThursday: Free only at the following times: from 9:15 to 9:40, anytime after 11:05\nFriday: Booked at the following times: from 9:25 to 10:00, from 10:55 to 12:10\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 10:45, from 11:40 to 12:30, from 13:25 to 14:35, from 15:40 to 16:35\nTuesday: Booked at the following times: from 9:25 to 10:35, from 11:00 to 11:50, from 12:25 to 12:50, from 13:45 to 15:15\nWednesday: Free only at the following times: from 9:00 to 9:10, from 9:50 to 10:10, from 11:10 to 11:55, from 12:35 to 12:50, anytime after 13:45\nThursday: Booked at the following times: from 10:25 to 11:15, from 12:15 to 13:25\nFriday: Free only at the following times: from 9:00 to 10:25, from 11:25 to 11:35, from 12:55 to 14:25, from 14:45 to 15:30, from 16:55 to 17:00\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:25, from 11:00 to 11:45, from 11:45 to 12:00\nTuesday: Free only at the following times: from 9:00 to 9:25, from 9:35 to 9:35, from 10:20 to 10:20, from 10:35 to 11:35, anytime after 12:00\nWednesday: Free only at the following times: anytime before 9:55, from 11:05 to 11:50, from 12:00 to 13:15, from 13:25 to 14:50, anytime after 15:05\nThursday: Booked at the following times: from 9:20 to 10:20, from 10:55 to 11:40\nFriday: Free only at the following times: anytime before 9:20, from 9:45 to 10:50, from 11:40 to 17:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 10:50, from 12:00 to 13:00\nTuesday: Free only at the following times: anytime before 9:15, from 10:10 to 11:30, from 12:20 to 13:05, from 13:20 to 17:00\nWednesday: Booked at the following times: from 9:40 to 9:55, from 10:00 to 11:05\nThursday: Booked at the following times: from 10:15 to 11:25, from 12:40 to 14:10\nFriday: Booked at the following times: from 9:05 to 10:10, from 10:35 to 11:50\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:35, from 10:20 to 11:25, from 11:55 to 12:25, anytime after 13:35\nTuesday: Free only at the following times: anytime before 9:55, from 11:00 to 11:10, from 11:30 to 11:35, anytime after 12:15\nWednesday: Free only at the following times: from 9:00 to 10:15, from 11:40 to 12:00, anytime after 13:30\nThursday: Free only at the following times: from 9:00 to 10:25, from 10:40 to 11:05, from 12:25 to 12:35, anytime after 13:40\nFriday: Booked at the following times: from 9:30 to 10:45, from 11:25 to 11:40, from 11:50 to 12:45, from 13:05 to 14:25\n\n\nAlice asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nMary is fine to stay until 6pm to accommodate the meeting\nIsabella is in a timezone that is one hour ahead of other participants\nZoey needs a break for lunch on Wednesday from 12:30 to 1:00\nRachel is flexible to miss the last (at most) 10 minutes of the meeting\nClaire asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:091", "request": "Yolanda, Sophia, Emma and Victoria work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:30, from 11:30 to 12:15, from 13:40 to 14:50, from 15:05 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:20, from 10:20 to 10:45, anytime after 12:15\nWednesday: Free only at the following times: from 9:00 to 9:50, from 10:20 to 11:10, from 12:15 to 13:20, from 14:15 to 14:25, anytime after 15:10\nThursday: Free only at the following times: from 9:00 to 9:20, from 10:45 to 12:05, from 12:45 to 13:55, from 14:00 to 15:25, from 16:10 to 17:00\nFriday: Booked at the following times: from 10:30 to 11:20, from 11:20 to 12:10, from 13:10 to 14:10\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:30, from 13:00 to 13:05\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:20 to 10:20, from 11:00 to 12:25, from 13:45 to 14:25, anytime after 15:50\nWednesday: Booked at the following times: from 9:25 to 9:50, from 9:50 to 11:20\nThursday: Free only at the following times: from 9:00 to 10:30, from 10:40 to 12:10, anytime after 13:00\nFriday: Free only at the following times: anytime before 10:15, from 10:35 to 12:00, from 12:35 to 13:45, from 14:15 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:35, from 11:15 to 11:35, from 12:25 to 12:55, from 13:25 to 14:25\nTuesday: Booked at the following times: from 10:30 to 11:30, from 11:55 to 12:55\nWednesday: Booked at the following times: from 10:10 to 10:40, from 12:05 to 13:10, from 13:40 to 13:50\nThursday: Booked at the following times: from 9:15 to 9:20, from 10:25 to 11:55, from 12:30 to 13:50, from 14:40 to 15:05\nFriday: Booked at the following times: from 10:15 to 11:10, from 12:20 to 13:25, from 14:45 to 15:25\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:50, from 11:00 to 11:05, from 12:25 to 13:45, from 14:50 to 15:50\nTuesday: Booked at the following times: from 10:10 to 10:35, from 11:40 to 13:05\nWednesday: Booked at the following times: from 10:20 to 11:20, from 11:55 to 13:00\nThursday: Booked at the following times: from 9:10 to 10:20, from 11:45 to 12:10, from 13:40 to 15:00, from 15:15 to 15:45\nFriday: Booked at the following times: from 9:00 to 9:15, from 9:50 to 10:55\n\n\nYolanda is flexible to miss (at most) 10 minutes of the meeting\nSophia asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nEmma is flexible to miss the last (at most) 10 minutes of the meeting\nVictoria feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:093", "request": "Olivia, Ava and Claire work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:25, from 12:10 to 12:50, from 14:10 to 15:20, from 16:25 to 16:45\nTuesday: Booked at the following times: from 9:45 to 11:00, from 12:25 to 12:30, from 12:30 to 12:55, from 14:00 to 14:20\nWednesday: Booked at the following times: from 9:15 to 10:35, from 11:45 to 12:20\nThursday: Free only at the following times: anytime before 9:10, from 9:25 to 10:40, from 11:25 to 12:40, anytime after 12:55\nFriday: Booked at the following times: from 10:15 to 10:45, from 11:45 to 12:20, from 12:30 to 13:05, from 13:40 to 14:35\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 9:45 to 10:15, from 11:10 to 11:25, from 12:00 to 13:30, from 14:15 to 17:00\nTuesday: Free only at the following times: anytime before 9:25, from 9:45 to 10:10, from 10:50 to 11:30, anytime after 12:40\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:20 to 11:45, from 12:15 to 12:40, from 13:40 to 13:40, from 14:20 to 17:00\nThursday: Free only at the following times: anytime before 9:10, from 10:05 to 10:05, from 11:15 to 11:55, from 13:05 to 14:10, from 15:00 to 17:00\nFriday: Booked at the following times: from 9:50 to 10:45, from 10:45 to 11:45\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:00, from 10:35 to 11:35, from 12:55 to 13:10, from 13:55 to 14:45, anytime after 15:20\nTuesday: Free only at the following times: from 9:00 to 10:10, from 11:30 to 12:40, from 13:30 to 17:00\nWednesday: Free only at the following times: anytime before 9:05, from 9:10 to 9:45, from 9:50 to 10:10, from 10:25 to 17:00\nThursday: Booked at the following times: from 10:15 to 10:40, from 10:45 to 11:55, from 13:00 to 14:05\nFriday: Free only at the following times: anytime before 9:50, from 10:20 to 11:40, from 12:05 to 13:25, from 14:55 to 17:00\n\n\nOlivia needs a break for lunch on Wednesday from 12:30 to 1:00\nAva prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nClaire is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:097", "request": "Isabella, Ava, Sophia, Rachel and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:40, from 12:05 to 13:35, from 14:15 to 15:40\nTuesday: Booked at the following times: from 9:10 to 10:30, from 10:55 to 11:10, from 11:45 to 12:45\nWednesday: Booked at the following times: from 9:35 to 9:40, from 11:05 to 12:20, from 12:40 to 13:25, from 14:55 to 15:30\nThursday: Booked at the following times: from 9:35 to 9:45, from 10:05 to 10:10, from 11:40 to 12:10\nFriday: Booked at the following times: from 10:15 to 10:35, from 10:40 to 10:50\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: from 10:10 to 10:35, from 11:45 to 13:05, from 13:25 to 13:35, anytime after 14:05\nTuesday: Booked at the following times: from 9:35 to 10:35, from 10:40 to 11:25, from 12:30 to 13:50, from 14:10 to 15:40\nWednesday: Booked at the following times: from 10:05 to 10:25, from 10:40 to 10:50, from 12:10 to 12:30\nThursday: Free only at the following times: from 9:00 to 9:15, from 9:20 to 9:35, from 10:50 to 11:15, from 12:25 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:30, from 10:55 to 10:55, anytime after 11:35\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:35, from 11:15 to 12:30, from 12:35 to 13:35\nTuesday: Free only at the following times: from 9:00 to 9:25, from 9:35 to 10:50, from 11:40 to 12:10, from 13:20 to 13:55, from 14:10 to 17:00\nWednesday: Free only at the following times: anytime before 9:15, from 9:20 to 10:20, from 10:40 to 11:10, from 12:00 to 12:55, from 14:20 to 17:00\nThursday: Booked at the following times: from 10:00 to 10:25, from 10:25 to 11:30\nFriday: Free only at the following times: anytime before 9:40, from 10:30 to 11:00, from 12:20 to 12:55, from 14:25 to 14:35, from 15:00 to 17:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 9:55 to 10:30, anytime after 11:15\nTuesday: Booked at the following times: from 9:15 to 9:25, from 10:15 to 11:10, from 11:45 to 12:25\nWednesday: Booked at the following times: from 9:40 to 10:00, from 11:15 to 11:25, from 12:40 to 13:40\nThursday: Free only at the following times: anytime before 9:45, from 10:45 to 11:00, anytime after 12:10\nFriday: Free only at the following times: from 9:00 to 10:25, from 11:45 to 11:55, from 12:40 to 13:55, from 15:05 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 11:00, from 11:30 to 12:45\nTuesday: Free only at the following times: from 9:00 to 9:20, from 10:45 to 11:45, from 11:50 to 13:05, from 14:35 to 17:00\nWednesday: Free only at the following times: anytime before 9:20, from 9:30 to 9:40, from 10:50 to 11:35, anytime after 11:40\nThursday: Booked at the following times: from 10:15 to 10:25, from 10:25 to 11:40, from 12:45 to 13:30\nFriday: Booked at the following times: from 10:15 to 10:40, from 11:55 to 12:20\n\n\nIsabella is flexible to miss the last (at most) 10 minutes of the meeting\nAva asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nSophia asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nRachel is fine to stay until 6pm to accommodate the meeting\nAlice can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:100", "request": "Olivia, Amelia and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:10, from 9:55 to 10:55, from 11:25 to 17:00\nTuesday: Booked at the following times: from 9:25 to 10:35, from 10:55 to 11:40, from 12:50 to 14:10\nWednesday: Free only at the following times: from 9:55 to 10:35, from 10:45 to 11:50, from 12:40 to 13:20, from 14:20 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:25, from 10:25 to 11:35, from 12:20 to 12:35, from 13:45 to 14:35, from 15:30 to 17:00\nFriday: Booked at the following times: from 9:30 to 9:45, from 10:00 to 11:10, from 11:40 to 12:25\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:50, from 11:10 to 12:30\nTuesday: Booked at the following times: from 9:30 to 10:30, from 10:30 to 11:05, from 12:35 to 13:25\nWednesday: Booked at the following times: from 10:25 to 10:45, from 12:00 to 13:15, from 13:40 to 14:20\nThursday: Booked at the following times: from 9:35 to 10:30, from 11:25 to 12:30, from 13:35 to 14:45, from 14:45 to 15:35\nFriday: Booked at the following times: from 9:30 to 10:05, from 10:35 to 11:50, from 13:00 to 13:15\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:00, from 12:10 to 12:30, from 13:10 to 14:35\nTuesday: Booked at the following times: from 10:00 to 10:15, from 11:30 to 12:25, from 12:25 to 13:55\nWednesday: Booked at the following times: from 10:25 to 11:30, from 12:40 to 12:45, from 14:00 to 14:25\nThursday: Booked at the following times: from 10:15 to 11:30, from 12:30 to 12:35\nFriday: Free only at the following times: anytime before 10:30, from 11:15 to 11:20, from 11:45 to 13:05, from 14:35 to 15:20, from 16:50 to 17:00\n\n\nOlivia is fine to stay until 6pm to accommodate the meeting\nAmelia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAlice is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:104", "request": "Sophia, Yolanda and Karen work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 11:05, from 11:45 to 12:15, from 13:10 to 14:40\nTuesday: Free only at the following times: from 9:00 to 9:55, from 10:25 to 10:30, from 12:00 to 13:05, from 13:55 to 13:55, anytime after 15:00\nWednesday: Booked at the following times: from 10:25 to 11:45, from 12:30 to 13:05, from 14:25 to 15:05, from 15:20 to 16:20\nThursday: Booked at the following times: from 10:15 to 11:25, from 12:05 to 12:30, from 13:50 to 14:10\nFriday: Free only at the following times: anytime before 9:55, from 11:10 to 12:30, from 12:55 to 14:10, from 15:35 to 16:55\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:40 to 11:35, from 12:40 to 12:40, from 14:10 to 17:00\nTuesday: Free only at the following times: anytime before 9:55, from 11:20 to 11:50, anytime after 12:20\nWednesday: Free only at the following times: from 9:00 to 9:35, from 10:15 to 11:45, from 12:50 to 14:15, from 15:30 to 15:50, from 16:35 to 17:00\nThursday: Booked at the following times: from 9:55 to 10:15, from 11:20 to 11:30, from 12:45 to 13:15\nFriday: Free only at the following times: anytime before 10:10, from 11:10 to 11:15, from 11:55 to 13:15, from 13:30 to 15:00, anytime after 15:05\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:25, from 10:35 to 10:45, from 11:00 to 11:15, from 12:05 to 13:05\nTuesday: Free only at the following times: from 9:00 to 9:40, from 9:55 to 10:35, from 11:15 to 17:00\nWednesday: Booked at the following times: from 10:10 to 11:00, from 11:30 to 11:55\nThursday: Booked at the following times: from 10:25 to 11:50, from 12:55 to 14:15\nFriday: Booked at the following times: from 10:15 to 10:40, from 11:40 to 12:00\n\n\nSophia is flexible to miss (at most) 10 minutes of the meeting\nYolanda needs a break for lunch on Wednesday from 12:30 to 1:00\nKaren can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:106", "request": "Yolanda, Ava, Mary and Victoria work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:10, from 9:30 to 9:55, from 10:20 to 17:00\nTuesday: Booked at the following times: from 9:50 to 10:15, from 11:20 to 12:20, from 12:40 to 14:10, from 14:15 to 15:20\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:35 to 11:10, anytime after 11:15\nThursday: Booked at the following times: from 9:25 to 10:50, from 12:10 to 13:10\nFriday: Booked at the following times: from 9:10 to 9:50, from 10:10 to 10:30\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:40, from 10:45 to 11:20, from 12:05 to 12:35, from 14:00 to 14:05\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:10 to 12:15, from 13:20 to 14:10, from 14:55 to 15:35\nWednesday: Booked at the following times: from 9:25 to 10:25, from 11:20 to 11:55, from 13:05 to 13:25\nThursday: Booked at the following times: from 9:10 to 10:30, from 10:45 to 11:15, from 12:30 to 12:35, from 13:55 to 14:10\nFriday: Booked at the following times: from 10:05 to 11:30, from 12:10 to 12:30, from 13:10 to 13:55\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:20, from 11:40 to 11:50, from 12:45 to 13:35\nTuesday: Booked at the following times: from 9:05 to 9:55, from 11:10 to 12:10\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:50 to 12:30, from 13:40 to 14:05, from 15:30 to 16:40\nThursday: Booked at the following times: from 9:15 to 9:45, from 9:55 to 10:45, from 11:35 to 11:40\nFriday: Booked at the following times: from 9:00 to 9:10, from 9:15 to 9:50, from 10:20 to 11:15\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:10, from 9:40 to 9:45, from 10:05 to 10:50, anytime after 11:50\nTuesday: Booked at the following times: from 9:25 to 10:15, from 10:15 to 10:45, from 11:20 to 11:25\nWednesday: Free only at the following times: anytime before 9:05, from 9:10 to 9:20, from 10:05 to 10:20, from 11:40 to 12:25, anytime after 12:40\nThursday: Free only at the following times: from 9:00 to 9:15, from 10:25 to 11:20, from 11:30 to 11:50, from 12:35 to 17:00\nFriday: Booked at the following times: from 9:15 to 10:20, from 11:30 to 12:20, from 13:35 to 14:45, from 15:20 to 16:30\n\n\nYolanda can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nAva asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nMary is in a timezone that is one hour ahead of other participants\nVictoria is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:110", "request": "Yolanda, Karen, Charlotte, Olivia and Zoey work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 10:10 to 11:35, anytime after 11:40\nTuesday: Booked at the following times: from 10:05 to 10:50, from 12:05 to 13:00\nWednesday: Booked at the following times: from 9:50 to 11:05, from 11:25 to 12:00, from 12:35 to 14:05\nThursday: Booked at the following times: from 10:25 to 10:35, from 12:05 to 12:40, from 13:15 to 13:50, from 14:10 to 14:45\nFriday: Booked at the following times: from 9:05 to 9:45, from 10:00 to 10:45, from 11:55 to 13:20, from 14:05 to 14:35\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:35, from 10:55 to 11:00\nTuesday: Free only at the following times: anytime before 10:05, from 11:35 to 12:00, anytime after 12:35\nWednesday: Booked at the following times: from 9:35 to 10:50, from 12:10 to 13:20\nThursday: Free only at the following times: anytime before 9:10, from 9:25 to 10:55, from 11:15 to 12:05, from 13:35 to 15:05, from 15:40 to 17:00\nFriday: Free only at the following times: from 9:20 to 9:30, from 9:35 to 9:40, from 10:15 to 10:55, from 11:15 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 11:05 to 11:35, from 11:50 to 17:00\nTuesday: Booked at the following times: from 9:40 to 10:15, from 10:20 to 10:25\nWednesday: Free only at the following times: anytime before 9:35, from 10:55 to 11:15, from 11:50 to 13:20, from 14:25 to 14:25, from 15:00 to 17:00\nThursday: Free only at the following times: anytime before 9:25, from 9:40 to 10:15, anytime after 11:00\nFriday: Free only at the following times: from 9:00 to 9:15, from 9:40 to 11:10, from 11:55 to 17:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:00, from 10:35 to 11:35, from 12:45 to 13:05, from 13:10 to 13:25, anytime after 13:50\nTuesday: Free only at the following times: from 9:00 to 9:55, from 11:00 to 12:05, from 12:15 to 13:05, from 13:20 to 17:00\nWednesday: Booked at the following times: from 9:35 to 10:10, from 10:20 to 10:25\nThursday: Booked at the following times: from 9:35 to 10:45, from 11:45 to 12:30, from 13:35 to 15:05, from 16:15 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:35, from 10:00 to 11:15, from 12:45 to 13:30, from 14:30 to 15:30, from 16:15 to 17:00\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:15 to 11:05, anytime after 12:25\nTuesday: Free only at the following times: from 9:00 to 10:05, from 11:00 to 12:25, from 12:50 to 17:00\nWednesday: Free only at the following times: from 10:25 to 10:30, from 11:10 to 11:20, from 12:10 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:15, from 10:35 to 11:25, from 12:55 to 17:00\nFriday: Free only at the following times: anytime before 10:25, from 11:50 to 12:55, anytime after 13:00\n\n\nYolanda needs a break for lunch on Wednesday from 12:30 to 1:00\nKaren is flexible to miss the last (at most) 10 minutes of the meeting\nCharlotte is flexible to miss (at most) 10 minutes of the meeting\nOlivia can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nZoey feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:111", "request": "Mary, Amelia, Charlotte and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:10, from 11:35 to 11:45, from 12:00 to 12:05\nTuesday: Booked at the following times: from 10:25 to 11:35, from 12:00 to 12:05, from 12:15 to 12:40, from 14:00 to 14:20\nWednesday: Booked at the following times: from 9:25 to 9:40, from 10:00 to 10:35, from 12:00 to 12:30, from 12:55 to 14:10\nThursday: Free only at the following times: anytime before 9:45, from 10:30 to 11:20, from 12:35 to 13:40, anytime after 15:00\nFriday: Free only at the following times: from 9:00 to 9:35, from 10:00 to 10:10, anytime after 11:05\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:25 to 11:30, from 12:15 to 13:30, from 14:50 to 17:00\nTuesday: Booked at the following times: from 9:05 to 9:45, from 10:45 to 11:40, from 12:55 to 14:25\nWednesday: Booked at the following times: from 9:45 to 9:50, from 9:55 to 10:05, from 10:05 to 11:15\nThursday: Booked at the following times: from 9:40 to 10:30, from 10:45 to 11:30, from 11:40 to 12:00, from 12:30 to 13:55\nFriday: Free only at the following times: from 9:00 to 10:15, from 10:30 to 11:45, from 13:10 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:55, from 11:50 to 12:15\nTuesday: Booked at the following times: from 9:45 to 10:35, from 11:25 to 12:30, from 13:25 to 14:35, from 14:35 to 15:00\nWednesday: Booked at the following times: from 10:20 to 11:30, from 12:35 to 14:00, from 14:45 to 15:20\nThursday: Booked at the following times: from 10:15 to 11:35, from 12:00 to 12:25\nFriday: Free only at the following times: anytime before 9:30, from 10:40 to 12:10, anytime after 12:30\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:20, from 10:35 to 12:00, from 12:20 to 13:20, anytime after 14:45\nTuesday: Booked at the following times: from 9:40 to 10:15, from 10:35 to 11:25\nWednesday: Free only at the following times: anytime before 10:15, from 11:30 to 12:25, from 13:55 to 13:55, from 14:35 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:05, from 9:45 to 10:50, from 11:30 to 12:40, from 13:10 to 14:15, from 15:25 to 17:00\nFriday: Free only at the following times: anytime before 9:45, from 10:35 to 11:50, from 12:30 to 12:50, from 13:45 to 17:00\n\n\nMary prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAmelia prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nCharlotte is in a timezone that is one hour ahead of other participants\nEmma feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:112", "request": "Rachel, Zoey, Isabella, Ava and Nancy work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 9:50, from 11:15 to 11:35\nTuesday: Free only at the following times: from 9:00 to 9:20, from 9:35 to 10:15, from 11:00 to 12:05, anytime after 12:50\nWednesday: Booked at the following times: from 9:00 to 10:00, from 11:30 to 12:10, from 13:05 to 13:50\nThursday: Booked at the following times: from 9:25 to 10:05, from 11:10 to 12:35, from 14:00 to 14:15, from 14:35 to 15:30\nFriday: Free only at the following times: from 9:00 to 9:45, from 10:15 to 10:35, from 10:45 to 12:05, from 13:10 to 14:05, anytime after 14:45\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:00, from 10:20 to 10:50, from 11:40 to 12:15\nTuesday: Booked at the following times: from 9:10 to 10:30, from 11:20 to 11:30, from 12:15 to 13:15\nWednesday: Free only at the following times: anytime before 9:05, from 10:30 to 11:40, from 13:10 to 13:40, anytime after 15:00\nThursday: Free only at the following times: anytime before 9:50, from 11:15 to 11:50, anytime after 11:55\nFriday: Booked at the following times: from 9:15 to 10:15, from 10:25 to 11:30, from 12:20 to 13:30\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:25, from 11:10 to 12:10, from 12:10 to 13:10, from 13:55 to 14:30\nTuesday: Booked at the following times: from 9:35 to 11:00, from 11:15 to 12:35, from 13:30 to 14:25, from 15:50 to 16:05\nWednesday: Free only at the following times: anytime before 10:00, from 10:50 to 11:25, from 12:35 to 13:25, from 14:45 to 17:00\nThursday: Free only at the following times: anytime before 9:15, from 9:25 to 10:10, from 10:25 to 11:25, from 12:45 to 14:00, anytime after 14:10\nFriday: Free only at the following times: anytime before 9:50, from 10:00 to 11:10, from 12:10 to 13:00, from 14:30 to 17:00\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:50, from 9:55 to 11:10, anytime after 11:30\nTuesday: Booked at the following times: from 9:40 to 10:25, from 10:45 to 11:05, from 12:15 to 13:30, from 14:35 to 14:55\nWednesday: Free only at the following times: from 9:00 to 10:00, from 10:25 to 11:05, from 11:50 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:20, from 9:55 to 10:35, anytime after 10:40\nFriday: Booked at the following times: from 10:25 to 11:40, from 12:35 to 13:45, from 15:10 to 15:30\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:15, from 10:55 to 11:10\nTuesday: Booked at the following times: from 9:35 to 10:35, from 10:50 to 11:10\nWednesday: Free only at the following times: from 9:00 to 10:20, from 10:55 to 11:45, from 12:55 to 14:10, from 14:45 to 15:10, anytime after 15:55\nThursday: Free only at the following times: from 9:00 to 10:15, from 10:45 to 11:30, from 12:00 to 12:20, anytime after 13:20\nFriday: Free only at the following times: from 9:00 to 9:50, from 10:45 to 10:50, from 11:30 to 17:00\n\n\nRachel can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nZoey asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nIsabella can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nAva is in a timezone that is one hour ahead of other participants\nNancy is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:113", "request": "Sophia, Alice and Ava work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 10:30 to 10:45, from 10:50 to 11:30, from 12:15 to 12:35, from 14:05 to 17:00\nTuesday: Booked at the following times: from 9:30 to 10:10, from 10:40 to 11:45, from 13:05 to 14:25\nWednesday: Free only at the following times: anytime before 9:10, from 9:40 to 10:35, from 11:15 to 12:10, from 12:35 to 14:00, anytime after 14:35\nThursday: Free only at the following times: anytime before 9:45, from 11:05 to 11:15, from 12:45 to 13:10, anytime after 13:25\nFriday: Booked at the following times: from 9:05 to 9:40, from 10:50 to 11:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 11:25 to 11:30, from 12:30 to 13:30, from 13:50 to 15:10, from 15:50 to 17:00\nTuesday: Free only at the following times: anytime before 9:10, from 9:30 to 9:30, from 10:00 to 17:00\nWednesday: Booked at the following times: from 9:35 to 10:05, from 11:25 to 12:15, from 13:30 to 14:50\nThursday: Free only at the following times: anytime before 9:20, from 10:10 to 10:45, from 11:00 to 11:55, from 13:20 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:15, from 11:40 to 12:30, from 12:50 to 12:50, anytime after 13:15\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:20, from 11:00 to 12:30, from 13:00 to 13:20\nTuesday: Free only at the following times: anytime before 9:50, from 11:10 to 12:15, from 13:45 to 14:35, from 15:25 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:20, from 10:25 to 10:40, from 11:00 to 12:25, from 13:35 to 14:35, from 16:00 to 17:00\nThursday: Free only at the following times: anytime before 9:45, from 10:50 to 12:00, from 13:30 to 13:45, from 14:50 to 15:15, anytime after 15:25\nFriday: Booked at the following times: from 9:05 to 10:20, from 10:50 to 12:00, from 12:10 to 13:40, from 14:10 to 15:15\n\n\nSophia prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAlice asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAva is flexible to miss the last (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:116", "request": "Olivia, Rachel, Sophia, Ava, Lisa and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 9:25, from 10:30 to 10:40\nTuesday: Free only at the following times: anytime before 9:20, from 10:15 to 11:15, from 11:50 to 12:00, anytime after 12:20\nWednesday: Booked at the following times: from 9:35 to 9:55, from 10:00 to 10:50, from 10:50 to 11:50\nThursday: Booked at the following times: from 9:35 to 10:40, from 10:55 to 11:50\nFriday: Booked at the following times: from 10:00 to 11:10, from 12:15 to 12:25, from 13:55 to 14:45\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:35, from 11:55 to 12:55\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:05 to 10:30, from 11:10 to 12:30, anytime after 13:20\nWednesday: Booked at the following times: from 10:00 to 10:15, from 11:00 to 11:45\nThursday: Booked at the following times: from 10:05 to 11:15, from 11:15 to 12:35, from 13:00 to 14:25, from 14:45 to 15:55\nFriday: Booked at the following times: from 9:50 to 11:05, from 11:15 to 12:10, from 12:35 to 12:55\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 11:55 to 12:30, from 13:15 to 13:25, anytime after 13:30\nTuesday: Booked at the following times: from 9:20 to 10:50, from 11:30 to 11:35, from 12:20 to 13:45, from 14:10 to 14:50\nWednesday: Free only at the following times: anytime before 9:10, from 10:40 to 10:55, from 12:25 to 13:50, from 15:05 to 17:00\nThursday: Booked at the following times: from 10:05 to 10:45, from 12:10 to 13:15, from 13:40 to 15:05\nFriday: Free only at the following times: anytime before 10:00, from 10:05 to 10:45, from 11:40 to 12:10, anytime after 12:30\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 9:50 to 11:00, from 11:45 to 12:30, from 13:15 to 13:30, anytime after 13:40\nTuesday: Booked at the following times: from 9:55 to 10:05, from 11:20 to 12:10, from 12:15 to 12:20\nWednesday: Free only at the following times: from 9:00 to 10:20, from 10:25 to 11:45, from 12:00 to 12:00, from 12:50 to 17:00\nThursday: Booked at the following times: from 10:25 to 10:45, from 11:50 to 11:55, from 12:10 to 12:15\nFriday: Free only at the following times: from 9:00 to 9:40, from 9:55 to 11:05, from 11:15 to 12:30, from 13:50 to 17:00\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:45, from 10:45 to 11:35\nTuesday: Booked at the following times: from 9:55 to 10:35, from 11:55 to 12:35, from 13:35 to 14:05\nWednesday: Free only at the following times: from 9:00 to 10:05, from 11:05 to 12:05, from 12:20 to 13:40, from 14:00 to 15:20, from 16:50 to 17:00\nThursday: Booked at the following times: from 9:55 to 11:20, from 12:40 to 12:45\nFriday: Free only at the following times: from 9:00 to 9:20, from 10:50 to 11:15, anytime after 12:15\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 11:15, from 11:45 to 11:50\nTuesday: Free only at the following times: anytime before 10:20, from 10:30 to 11:10, from 11:30 to 12:30, from 13:40 to 15:00, from 15:30 to 17:00\nWednesday: Booked at the following times: from 10:20 to 10:45, from 12:05 to 12:55, from 13:55 to 14:45\nThursday: Booked at the following times: from 9:55 to 10:05, from 11:15 to 12:45, from 13:45 to 15:00\nFriday: Booked at the following times: from 9:10 to 10:20, from 10:35 to 11:20\n\n\nOlivia can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nRachel is fine to stay until 6pm to accommodate the meeting\nSophia asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nAva prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLisa feels tired late in the day and requires the meeting to end before 4pm\nSarah prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:117", "request": "Rachel, Mary and Nancy work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 9:35, from 10:25 to 10:35, from 11:30 to 12:55\nTuesday: Booked at the following times: from 10:25 to 11:15, from 11:15 to 12:15, from 12:20 to 12:45, from 14:15 to 14:45\nWednesday: Booked at the following times: from 9:55 to 11:25, from 12:35 to 13:00\nThursday: Booked at the following times: from 9:35 to 9:40, from 10:05 to 11:25\nFriday: Free only at the following times: from 9:00 to 10:10, from 10:55 to 11:55, from 12:45 to 13:45, from 14:00 to 14:20, anytime after 14:25\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:05 to 10:40, from 11:25 to 12:50, from 14:20 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:45, from 10:00 to 10:10, from 11:30 to 11:45, from 13:15 to 14:10, anytime after 15:00\nWednesday: Free only at the following times: anytime before 10:20, from 11:40 to 12:00, from 13:25 to 14:15, from 15:45 to 17:00\nThursday: Free only at the following times: anytime before 9:45, from 11:15 to 12:00, from 13:00 to 13:35, anytime after 13:45\nFriday: Booked at the following times: from 9:45 to 10:30, from 11:20 to 12:50, from 13:00 to 13:20\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:05, from 10:00 to 10:15, from 11:10 to 12:20, from 12:50 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:00, from 10:05 to 11:05, anytime after 11:50\nWednesday: Free only at the following times: anytime before 10:05, from 10:30 to 11:25, anytime after 12:25\nThursday: Booked at the following times: from 10:25 to 11:20, from 12:20 to 12:30, from 13:25 to 13:45\nFriday: Free only at the following times: anytime before 9:50, from 10:00 to 10:40, from 11:30 to 11:55, from 12:20 to 13:45, from 13:55 to 17:00\n\n\nRachel is flexible to miss (at most) 10 minutes of the meeting\nMary prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nNancy is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:118", "request": "Ava, Yolanda, Sarah, Eve, Mary and Amelia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 11:15, from 12:00 to 12:05, from 12:45 to 13:30\nTuesday: Free only at the following times: anytime before 10:10, from 10:20 to 11:10, from 11:40 to 12:45, from 13:20 to 13:25, from 13:55 to 17:00\nWednesday: Booked at the following times: from 10:30 to 10:35, from 11:40 to 13:05\nThursday: Booked at the following times: anytime before 9:20, from 9:50 to 9:55, from 11:20 to 12:20\nFriday: Booked at the following times: from 9:20 to 9:35, from 10:40 to 11:55, from 12:00 to 13:25, from 13:30 to 14:55\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:35, from 10:50 to 10:55, from 11:55 to 12:30, from 12:50 to 13:00\nTuesday: Free only at the following times: anytime before 9:55, from 11:20 to 12:05, from 12:25 to 13:25, anytime after 13:40\nWednesday: Booked at the following times: from 9:55 to 10:25, from 11:35 to 12:45, from 12:45 to 14:15\nThursday: Booked at the following times: from 10:25 to 11:30, from 11:55 to 12:10\nFriday: Booked at the following times: from 9:20 to 9:25, from 10:15 to 11:20\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:00, from 12:15 to 13:30, from 14:30 to 14:55\nTuesday: Booked at the following times: from 10:00 to 10:30, from 12:00 to 12:50, from 14:05 to 14:35, from 16:05 to 16:35\nWednesday: Booked at the following times: from 10:00 to 10:15, from 10:30 to 11:40\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:55 to 12:00, anytime after 13:05\nFriday: Free only at the following times: anytime before 9:45, from 10:10 to 11:15, from 12:10 to 12:50, from 13:40 to 14:10, anytime after 14:15\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:35, from 10:15 to 11:05, from 12:10 to 17:00\nTuesday: Booked at the following times: from 10:05 to 10:10, from 11:15 to 12:10, from 12:50 to 13:20, from 13:40 to 14:55\nWednesday: Booked at the following times: from 9:50 to 10:55, from 11:15 to 12:15\nThursday: Booked at the following times: from 10:25 to 10:55, from 12:05 to 12:20\nFriday: Free only at the following times: anytime before 9:50, from 10:20 to 11:25, from 12:10 to 12:35, from 12:55 to 12:55, from 13:50 to 17:00\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 9:30, from 10:35 to 11:35, from 12:30 to 13:05\nTuesday: Free only at the following times: from 9:00 to 9:10, from 10:35 to 11:50, from 12:40 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:40, from 10:45 to 11:35, anytime after 12:10\nThursday: Free only at the following times: from 9:00 to 10:05, from 11:20 to 12:30, from 13:00 to 13:35, anytime after 14:25\nFriday: Booked at the following times: from 9:45 to 10:45, from 11:00 to 11:35, from 13:00 to 13:55, from 14:50 to 15:30\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:35, from 11:05 to 11:50\nTuesday: Free only at the following times: anytime before 9:35, from 10:05 to 10:20, anytime after 11:50\nWednesday: Free only at the following times: anytime before 9:55, from 10:35 to 11:30, from 11:40 to 12:10, from 13:40 to 14:40, from 15:10 to 17:00\nThursday: Booked at the following times: from 9:05 to 9:30, from 9:55 to 10:25, from 11:25 to 12:25, from 13:55 to 14:55\nFriday: Booked at the following times: from 9:55 to 10:05, from 11:25 to 12:05, from 12:45 to 13:50, from 15:15 to 16:00\n\n\nAva is in a timezone that is one hour ahead of other participants\nYolanda is fine to stay until 6pm to accommodate the meeting\nSarah prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nEve can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nMary feels tired late in the day and requires the meeting to end before 4pm\nAmelia asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:121", "request": "Lisa, Karen, Alice, Ava and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:15, from 11:10 to 11:30, from 11:40 to 11:50, from 13:10 to 13:50\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:20 to 12:30, from 12:50 to 12:55, from 13:05 to 17:00\nWednesday: Free only at the following times: anytime before 10:20, from 10:55 to 11:50, from 12:40 to 13:00, from 14:10 to 14:45, anytime after 15:10\nThursday: Free only at the following times: from 9:00 to 9:10, from 9:30 to 9:30, anytime after 10:00\nFriday: Free only at the following times: from 9:00 to 9:50, from 10:35 to 10:50, from 12:10 to 12:50, from 13:10 to 14:15, from 14:20 to 17:00\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:05, from 10:35 to 11:00, from 11:15 to 11:30, from 11:45 to 11:45, from 12:00 to 17:00\nTuesday: Booked at the following times: from 10:25 to 10:50, from 10:55 to 11:35\nWednesday: Booked at the following times: from 10:20 to 10:30, from 10:30 to 10:45, from 11:30 to 12:30\nThursday: Free only at the following times: from 9:00 to 10:15, from 10:45 to 11:25, from 12:25 to 17:00\nFriday: Booked at the following times: from 10:30 to 11:35, from 12:00 to 12:30\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:45 to 11:45, from 13:05 to 13:20, from 14:00 to 14:55, anytime after 15:20\nTuesday: Free only at the following times: anytime before 9:05, from 9:50 to 10:15, from 10:40 to 12:10, anytime after 13:10\nWednesday: Booked at the following times: from 10:25 to 11:10, from 11:10 to 11:30, from 12:10 to 13:15\nThursday: Booked at the following times: from 9:55 to 10:50, from 11:15 to 12:10, from 12:15 to 12:35\nFriday: Free only at the following times: from 9:00 to 9:50, from 9:55 to 10:45, from 12:00 to 13:05, from 14:00 to 17:00\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:20, from 10:25 to 10:40, from 12:05 to 12:05, from 12:50 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:05 to 11:00, from 11:55 to 17:00\nWednesday: Free only at the following times: anytime before 10:00, from 10:55 to 11:40, from 11:45 to 12:10, from 12:40 to 12:55, from 14:20 to 17:00\nThursday: Booked at the following times: from 10:00 to 11:30, from 12:35 to 12:50, from 14:05 to 15:25\nFriday: Free only at the following times: from 9:00 to 10:05, from 10:25 to 11:35, from 12:50 to 14:10, from 14:50 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:30 to 11:35, from 13:05 to 13:15, from 13:45 to 14:40, from 15:30 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:35, from 9:50 to 10:10, from 10:15 to 11:40, anytime after 12:45\nWednesday: Booked at the following times: from 10:00 to 11:30, from 11:30 to 12:15, from 12:45 to 13:30, from 14:30 to 15:35\nThursday: Booked at the following times: from 10:00 to 11:15, from 12:40 to 13:45, from 15:00 to 16:15\nFriday: Free only at the following times: anytime before 10:25, from 11:05 to 12:05, from 12:50 to 13:30, anytime after 13:35\n\n\nLisa can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nKaren asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAlice is flexible to miss (at most) 10 minutes of the meeting\nAva feels tired late in the day and requires the meeting to end before 4pm\nCharlotte is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:122", "request": "Rachel, Zoey and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 10:45 to 11:00, anytime after 12:20\nTuesday: Booked at the following times: from 9:35 to 10:30, from 11:35 to 13:00\nWednesday: Free only at the following times: from 9:00 to 10:05, from 11:05 to 12:05, from 12:15 to 12:40, from 13:50 to 15:20, anytime after 16:20\nThursday: Booked at the following times: anytime before 9:35, from 10:55 to 11:05, from 12:15 to 12:30\nFriday: Free only at the following times: anytime before 9:35, from 10:05 to 10:45, from 10:55 to 11:50, from 12:25 to 13:00, anytime after 13:50\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 10:40 to 11:30, from 12:55 to 13:10, from 14:15 to 14:25, from 15:45 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:00, from 10:30 to 11:15, from 12:30 to 17:00\nWednesday: Booked at the following times: from 9:55 to 11:20, from 11:35 to 13:00, from 14:05 to 14:45, from 15:15 to 15:50\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:25 to 10:40, from 11:55 to 12:50, anytime after 13:10\nFriday: Booked at the following times: from 10:00 to 11:05, from 11:50 to 12:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 11:20 to 11:45, from 12:35 to 13:05, from 13:30 to 17:00\nTuesday: Booked at the following times: from 9:25 to 10:10, from 11:40 to 12:00, from 13:00 to 14:00, from 14:35 to 15:40\nWednesday: Free only at the following times: from 9:00 to 9:05, from 10:15 to 10:15, anytime after 10:55\nThursday: Booked at the following times: from 9:40 to 10:05, from 11:20 to 12:20, from 12:50 to 13:25, from 14:25 to 14:50\nFriday: Free only at the following times: anytime before 9:15, from 10:05 to 11:00, from 11:30 to 12:30, from 13:55 to 17:00\n\n\nRachel asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nZoey is fine to stay until 6pm to accommodate the meeting\nCharlotte is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:124", "request": "Karen, Amelia and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 10:55 to 11:15, from 12:10 to 12:10, anytime after 12:30\nTuesday: Free only at the following times: from 9:00 to 10:10, from 10:20 to 10:40, from 11:25 to 12:00, from 12:55 to 13:20, from 13:40 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:05, from 10:20 to 11:30, anytime after 12:15\nThursday: Booked at the following times: from 9:15 to 10:10, from 10:30 to 11:00, from 11:50 to 12:50\nFriday: Free only at the following times: from 9:00 to 10:00, from 11:15 to 11:20, from 12:35 to 13:15, anytime after 14:10\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:35 to 12:25, from 12:50 to 13:50, from 15:15 to 15:25, from 16:25 to 17:00\nTuesday: Free only at the following times: anytime before 9:25, from 10:30 to 10:45, from 11:45 to 11:50, from 12:45 to 14:00, anytime after 14:55\nWednesday: Booked at the following times: from 9:20 to 10:05, from 11:35 to 12:15\nThursday: Free only at the following times: anytime before 10:00, from 10:20 to 11:00, from 11:05 to 11:50, from 12:25 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:10, from 10:55 to 11:20, from 11:55 to 13:25, from 14:10 to 17:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:30, from 10:50 to 11:50, from 12:20 to 13:30, anytime after 13:50\nTuesday: Booked at the following times: from 9:35 to 9:40, from 10:45 to 12:00, from 13:25 to 14:10\nWednesday: Free only at the following times: anytime before 10:20, from 11:30 to 12:55, from 13:30 to 13:50, from 14:15 to 14:50, from 15:50 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:20, from 10:30 to 11:40, from 11:45 to 13:15, from 14:05 to 17:00\nFriday: Booked at the following times: from 9:30 to 9:40, from 10:00 to 11:10, from 11:40 to 11:55, from 12:15 to 12:40\n\n\nKaren prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nAmelia is fine to stay until 6pm to accommodate the meeting\nCharlotte is flexible to miss the last (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:125", "request": "Olivia, Sarah, Claire, Karen, Yolanda and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:15, from 11:15 to 11:55, anytime after 12:10\nTuesday: Booked at the following times: from 9:10 to 9:55, from 11:05 to 12:00, from 13:10 to 14:25, from 15:35 to 16:00\nWednesday: Booked at the following times: from 9:35 to 9:50, from 10:55 to 11:50\nThursday: Booked at the following times: from 9:05 to 9:35, from 10:20 to 10:25\nFriday: Free only at the following times: from 9:00 to 10:05, from 11:20 to 12:35, anytime after 12:55\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 9:50 to 10:10, from 10:35 to 11:20, anytime after 11:35\nTuesday: Free only at the following times: from 9:00 to 9:45, from 10:10 to 10:45, from 12:10 to 12:20, anytime after 13:40\nWednesday: Free only at the following times: anytime before 10:00, from 11:20 to 11:45, from 12:50 to 12:50, anytime after 13:40\nThursday: Free only at the following times: anytime before 10:10, from 11:00 to 12:15, from 12:55 to 17:00\nFriday: Booked at the following times: from 9:00 to 9:45, from 10:55 to 11:20, from 12:25 to 13:50, from 14:35 to 14:45\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 9:50, from 10:25 to 10:30, from 11:05 to 12:10, from 12:45 to 13:20\nTuesday: Free only at the following times: anytime before 9:45, from 11:10 to 11:20, from 12:45 to 17:00\nWednesday: Free only at the following times: anytime before 9:55, from 10:00 to 11:10, anytime after 11:55\nThursday: Free only at the following times: from 9:00 to 9:15, from 9:25 to 9:50, from 10:25 to 11:40, from 13:10 to 17:00\nFriday: Booked at the following times: from 10:20 to 11:00, from 11:35 to 12:55, from 13:15 to 13:25\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:05, from 11:15 to 12:00, from 12:45 to 14:15, from 14:50 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:05, from 10:10 to 11:15, from 12:10 to 13:25, anytime after 14:50\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:40 to 12:00, from 12:45 to 13:05, from 14:35 to 14:35, anytime after 15:40\nThursday: Free only at the following times: from 9:00 to 10:30, from 10:35 to 11:00, from 11:15 to 12:45, from 13:55 to 15:05, anytime after 15:35\nFriday: Free only at the following times: from 9:00 to 10:20, from 11:05 to 11:45, anytime after 11:55\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 11:00 to 12:20, from 13:10 to 14:20, from 14:40 to 17:00\nTuesday: Booked at the following times: from 10:10 to 11:35, from 12:25 to 13:10, from 14:00 to 14:10\nWednesday: Booked at the following times: from 10:05 to 11:00, from 12:20 to 13:35, from 15:00 to 15:30\nThursday: Booked at the following times: from 9:10 to 10:10, from 10:30 to 11:35, from 13:05 to 13:20, from 14:35 to 15:25\nFriday: Free only at the following times: anytime before 9:35, from 9:45 to 10:15, from 11:10 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:30, from 10:30 to 10:30, anytime after 11:40\nTuesday: Free only at the following times: from 9:00 to 10:15, from 10:50 to 12:20, anytime after 13:15\nWednesday: Booked at the following times: from 10:10 to 10:45, from 11:25 to 12:35, from 12:40 to 13:40\nThursday: Free only at the following times: anytime before 9:45, from 10:05 to 10:05, from 10:55 to 12:25, from 12:40 to 14:05, from 14:45 to 17:00\nFriday: Free only at the following times: anytime before 9:25, from 10:25 to 11:15, from 12:10 to 13:05, from 14:30 to 17:00\n\n\nOlivia can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nSarah prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nClaire needs a break for lunch on Wednesday from 12:30 to 1:00\nKaren prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nYolanda can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nEmma feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:126", "request": "Charlotte, Olivia and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: anytime before 10:20, from 10:45 to 11:30, from 12:05 to 12:25, from 13:25 to 14:10\nTuesday: Booked at the following times: anytime before 10:05, from 11:20 to 11:35, from 11:45 to 12:15\nWednesday: Booked at the following times: from 10:05 to 11:10, from 11:35 to 12:10\nThursday: Free only at the following times: anytime before 10:05, from 10:45 to 11:05, from 11:30 to 17:00\nFriday: Booked at the following times: from 10:00 to 11:20, from 12:45 to 13:50\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 11:05, from 11:30 to 11:50, from 13:10 to 13:30\nTuesday: Free only at the following times: anytime before 9:40, from 10:25 to 10:25, from 11:20 to 12:30, from 13:45 to 14:30, from 15:05 to 17:00\nWednesday: Booked at the following times: from 9:35 to 9:55, from 10:15 to 10:20, from 11:10 to 12:35, from 12:35 to 13:35\nThursday: Free only at the following times: anytime before 10:00, from 11:00 to 11:55, from 12:50 to 13:15, anytime after 13:30\nFriday: Free only at the following times: from 9:30 to 10:50, from 11:35 to 11:55, from 12:45 to 12:50, anytime after 14:15\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 10:10, from 11:35 to 12:00, from 13:25 to 13:55\nTuesday: Free only at the following times: from 9:00 to 10:30, from 10:50 to 11:20, from 12:00 to 12:50, from 13:25 to 14:50, anytime after 15:15\nWednesday: Free only at the following times: from 10:00 to 11:15, anytime after 11:40\nThursday: Free only at the following times: from 9:00 to 10:05, from 11:35 to 12:15, from 12:30 to 13:30, from 13:40 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:00, from 10:55 to 12:05, from 12:30 to 13:40, from 15:10 to 15:30, anytime after 16:35\n\n\nCharlotte is flexible to miss the last (at most) 10 minutes of the meeting\nOlivia asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nAlice asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:130", "request": "Amelia, Ava, Alice, Claire and Rachel work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:15, from 10:30 to 11:45, from 12:20 to 13:15, anytime after 14:05\nTuesday: Free only at the following times: anytime before 9:05, from 9:50 to 9:55, from 10:20 to 17:00\nWednesday: Booked at the following times: from 9:30 to 10:45, from 11:10 to 12:20, from 13:25 to 14:10\nThursday: Free only at the following times: anytime before 9:50, from 10:25 to 10:25, from 11:45 to 12:40, from 12:50 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:35, from 10:45 to 10:55, from 11:30 to 12:00, from 12:15 to 13:45, anytime after 14:20\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:25 to 10:25, from 11:25 to 12:40, anytime after 13:55\nTuesday: Booked at the following times: from 9:15 to 9:45, from 11:05 to 11:40, from 12:40 to 12:55, from 13:25 to 14:10\nWednesday: Free only at the following times: anytime before 10:05, from 11:05 to 12:05, from 12:45 to 13:20, anytime after 14:05\nThursday: Free only at the following times: from 9:00 to 10:25, from 11:35 to 12:00, from 12:25 to 17:00\nFriday: Booked at the following times: from 9:15 to 9:40, from 10:00 to 10:35\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:00, from 11:15 to 12:35\nTuesday: Booked at the following times: from 10:30 to 10:45, from 11:30 to 13:00\nWednesday: Booked at the following times: from 9:00 to 9:50, from 11:15 to 11:25, from 11:25 to 12:10, from 12:30 to 13:00\nThursday: Booked at the following times: from 10:20 to 11:50, from 13:20 to 14:05, from 15:20 to 15:50, from 16:40 to 16:45\nFriday: Free only at the following times: from 9:00 to 10:20, from 11:25 to 12:50, from 13:25 to 13:30, anytime after 14:30\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:10, from 10:20 to 11:10\nTuesday: Booked at the following times: from 9:40 to 10:45, from 11:45 to 12:20, from 13:35 to 14:10, from 15:20 to 16:10\nWednesday: Free only at the following times: from 9:00 to 9:40, from 11:05 to 12:15, from 13:35 to 14:10, anytime after 15:30\nThursday: Free only at the following times: from 9:00 to 9:55, from 10:25 to 11:00, from 11:30 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:10, from 9:30 to 10:10, from 11:20 to 12:35, from 13:55 to 14:05, from 15:15 to 17:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:30, from 11:20 to 12:05, from 12:35 to 13:45, anytime after 15:05\nTuesday: Free only at the following times: from 9:00 to 10:05, from 11:10 to 12:35, from 13:10 to 13:50, from 14:20 to 17:00\nWednesday: Booked at the following times: from 9:40 to 10:55, from 11:05 to 12:35, from 13:40 to 13:55\nThursday: Booked at the following times: from 10:20 to 11:30, from 11:40 to 12:00, from 13:00 to 14:05, from 15:10 to 16:00\nFriday: Booked at the following times: from 10:15 to 10:25, from 11:20 to 11:45, from 12:10 to 12:45\n\n\nAmelia can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nAva feels tired late in the day and requires the meeting to end before 4pm\nAlice is flexible to miss (at most) 10 minutes of the meeting\nClaire prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nRachel prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:131", "request": "Zoey, Isabella, Claire, Karen, Yolanda and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 9:40, from 10:55 to 12:00, from 12:25 to 12:30\nTuesday: Booked at the following times: from 9:05 to 10:35, from 11:00 to 12:15, from 13:35 to 13:45\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:30 to 12:55, anytime after 13:55\nThursday: Booked at the following times: anytime before 9:35, from 10:55 to 11:45, from 11:50 to 12:30, from 13:25 to 14:30\nFriday: Booked at the following times: from 10:25 to 11:45, from 12:45 to 13:20, from 14:30 to 15:20, from 15:45 to 16:05\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:10 to 11:25, from 12:35 to 12:45, from 13:55 to 17:00\nTuesday: Booked at the following times: from 9:10 to 10:05, from 11:15 to 11:50\nWednesday: Booked at the following times: from 9:50 to 10:50, from 11:25 to 11:35\nThursday: Booked at the following times: from 9:45 to 10:05, from 11:25 to 11:35, from 12:15 to 13:15, from 13:15 to 13:20\nFriday: Free only at the following times: anytime before 9:45, from 10:05 to 11:35, from 12:50 to 13:50, from 14:55 to 15:00, anytime after 16:15\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 10:15 to 11:35, from 12:15 to 17:00\nTuesday: Booked at the following times: from 10:10 to 10:30, from 11:00 to 11:40\nWednesday: Free only at the following times: anytime before 9:10, from 10:25 to 10:35, from 11:15 to 11:25, anytime after 12:05\nThursday: Booked at the following times: from 9:20 to 10:10, from 11:10 to 12:35\nFriday: Booked at the following times: from 9:20 to 9:50, from 10:10 to 11:35\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 10:00 to 10:35, from 11:55 to 13:15, from 14:20 to 15:20, anytime after 15:35\nTuesday: Booked at the following times: from 9:35 to 10:20, from 10:40 to 12:00, from 13:30 to 14:10\nWednesday: Booked at the following times: from 10:00 to 10:45, from 11:50 to 13:15, from 13:50 to 14:15\nThursday: Booked at the following times: from 9:45 to 10:45, from 10:55 to 12:20\nFriday: Booked at the following times: from 10:10 to 11:30, from 12:10 to 12:45, from 12:45 to 14:05, from 15:35 to 16:05\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 10:55 to 11:10, anytime after 12:30\nTuesday: Booked at the following times: from 9:10 to 9:30, from 9:45 to 10:35, from 10:50 to 12:00, from 12:05 to 13:35\nWednesday: Free only at the following times: anytime before 9:30, from 9:45 to 11:05, from 12:30 to 13:15, anytime after 13:40\nThursday: Booked at the following times: anytime before 10:25, from 11:40 to 12:50\nFriday: Free only at the following times: anytime before 9:40, from 11:00 to 11:25, from 12:10 to 13:10, from 13:20 to 14:05, from 15:15 to 17:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:30, from 10:35 to 10:35, from 10:40 to 10:45, anytime after 12:10\nTuesday: Free only at the following times: anytime before 10:30, from 10:40 to 11:00, from 11:40 to 12:05, anytime after 12:20\nWednesday: Free only at the following times: from 9:00 to 9:55, from 10:50 to 10:50, from 11:55 to 13:20, anytime after 14:05\nThursday: Booked at the following times: from 10:30 to 10:50, from 12:20 to 13:50\nFriday: Booked at the following times: from 9:40 to 10:35, from 11:20 to 12:15, from 12:45 to 13:05, from 13:35 to 15:05\n\n\nZoey asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nIsabella asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nClaire is flexible to miss the last (at most) 10 minutes of the meeting\nKaren is fine to stay until 6pm to accommodate the meeting\nYolanda prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nOlivia is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:132", "request": "Charlotte, Yolanda, Isabella, Olivia and Alice work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:40 to 12:35, from 13:05 to 13:05, from 13:20 to 13:25, from 14:15 to 17:00\nTuesday: Free only at the following times: anytime before 10:15, from 11:35 to 12:30, from 13:10 to 14:25, from 14:40 to 17:00\nWednesday: Free only at the following times: anytime before 10:20, from 11:25 to 12:50, from 13:05 to 13:10, from 14:10 to 15:15, from 15:25 to 17:00\nThursday: Booked at the following times: from 10:10 to 11:40, from 11:45 to 12:50, from 14:20 to 14:50, from 15:45 to 16:40\nFriday: Booked at the following times: from 9:55 to 10:20, from 11:20 to 12:25, from 12:55 to 13:55, from 14:55 to 15:30\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 9:25, from 10:00 to 11:05, from 12:30 to 12:40\nTuesday: Booked at the following times: from 10:05 to 11:25, from 11:45 to 11:55, from 12:20 to 13:05, from 13:35 to 15:05\nWednesday: Free only at the following times: from 9:00 to 9:20, from 9:50 to 11:20, from 12:20 to 12:55, anytime after 13:10\nThursday: Free only at the following times: anytime before 10:20, from 11:00 to 11:20, from 11:50 to 12:50, from 13:05 to 14:20, anytime after 14:45\nFriday: Free only at the following times: anytime before 10:15, from 11:15 to 12:20, from 12:25 to 12:55, anytime after 13:55\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:35, from 11:00 to 12:05, from 12:40 to 17:00\nTuesday: Free only at the following times: anytime before 10:00, from 10:45 to 10:55, from 11:40 to 11:50, from 12:30 to 17:00\nWednesday: Booked at the following times: from 9:20 to 10:10, from 11:40 to 12:35, from 14:05 to 14:30\nThursday: Booked at the following times: from 9:30 to 10:40, from 10:40 to 11:50, from 13:15 to 14:00\nFriday: Free only at the following times: from 9:00 to 9:10, from 9:25 to 10:55, from 11:35 to 17:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:45, from 10:15 to 10:15, from 11:05 to 11:45, from 12:40 to 13:15, from 14:30 to 17:00\nTuesday: Free only at the following times: anytime before 9:20, from 10:35 to 11:35, anytime after 13:00\nWednesday: Booked at the following times: from 9:05 to 9:20, from 9:30 to 10:10, from 10:45 to 11:05\nThursday: Booked at the following times: from 10:10 to 11:05, from 12:20 to 12:55, from 14:00 to 14:25, from 15:35 to 16:00\nFriday: Free only at the following times: anytime before 10:30, from 11:00 to 11:05, from 12:05 to 13:15, from 13:30 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 9:30, from 10:10 to 10:25\nTuesday: Booked at the following times: from 9:20 to 9:35, from 10:40 to 11:40, from 13:00 to 13:40\nWednesday: Booked at the following times: from 10:00 to 10:10, from 11:40 to 12:30, from 12:40 to 13:55\nThursday: Booked at the following times: from 9:25 to 10:20, from 11:20 to 12:00, from 13:05 to 14:00\nFriday: Booked at the following times: from 9:10 to 9:55, from 11:20 to 11:50\n\n\nCharlotte is in a timezone that is one hour ahead of other participants\nYolanda is flexible to miss the last (at most) 10 minutes of the meeting\nIsabella is fine to stay until 6pm to accommodate the meeting\nOlivia prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nAlice can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:134", "request": "Emma, Rachel, Nancy, Ava, Karen and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:30, from 11:10 to 12:15, from 12:45 to 13:25, from 14:10 to 14:40\nTuesday: Booked at the following times: from 9:15 to 9:55, from 10:15 to 11:45, from 12:55 to 13:00\nWednesday: Free only at the following times: from 9:05 to 9:25, from 10:50 to 17:00\nThursday: Booked at the following times: from 9:30 to 10:00, from 10:30 to 10:50\nFriday: Booked at the following times: from 10:00 to 11:20, from 11:55 to 13:25, from 14:10 to 14:15\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 9:35 to 10:45, from 11:55 to 12:25, from 13:30 to 17:00\nTuesday: Booked at the following times: from 10:20 to 11:50, from 11:50 to 12:25\nWednesday: Free only at the following times: anytime before 10:15, from 11:15 to 11:25, from 12:10 to 12:40, from 12:55 to 17:00\nThursday: Free only at the following times: anytime before 9:55, from 11:25 to 11:55, from 12:20 to 13:20, from 14:15 to 15:30, anytime after 15:35\nFriday: Free only at the following times: from 9:00 to 9:35, from 9:50 to 10:40, from 10:50 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 10:10 to 11:40, from 11:50 to 12:40, from 13:00 to 17:00\nTuesday: Booked at the following times: from 9:20 to 10:00, from 11:10 to 12:25, from 13:35 to 15:00, from 16:20 to 16:50\nWednesday: Booked at the following times: from 10:10 to 10:35, from 10:50 to 12:05\nThursday: Booked at the following times: from 10:00 to 11:10, from 11:40 to 11:45\nFriday: Free only at the following times: anytime before 9:35, from 11:05 to 12:05, from 13:35 to 14:40, from 15:35 to 17:00\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:10, from 11:50 to 13:15, from 13:55 to 14:35, from 16:00 to 16:35\nTuesday: Free only at the following times: anytime before 9:15, from 9:20 to 10:50, from 12:15 to 12:35, from 13:10 to 17:00\nWednesday: Booked at the following times: from 10:20 to 10:50, from 12:20 to 13:45, from 13:50 to 14:50, from 16:15 to 16:20\nThursday: Free only at the following times: anytime before 9:40, from 10:25 to 11:35, from 12:25 to 12:40, from 13:20 to 17:00\nFriday: Free only at the following times: anytime before 10:20, from 11:15 to 11:30, from 12:00 to 12:20, from 12:40 to 13:50, from 15:10 to 17:00\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 11:10 to 11:40, from 12:10 to 12:15, anytime after 12:25\nTuesday: Free only at the following times: from 9:00 to 9:45, from 9:50 to 10:20, anytime after 10:25\nWednesday: Booked at the following times: from 9:55 to 10:00, from 10:15 to 10:55, from 12:20 to 13:10\nThursday: Free only at the following times: from 9:00 to 10:25, from 11:10 to 12:00, anytime after 12:10\nFriday: Free only at the following times: anytime before 10:00, from 11:05 to 12:10, from 13:35 to 17:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 9:55, from 11:05 to 12:15, from 12:45 to 14:00\nTuesday: Booked at the following times: from 10:15 to 10:20, from 11:00 to 12:25\nWednesday: Free only at the following times: anytime before 10:00, from 10:40 to 11:55, anytime after 12:10\nThursday: Booked at the following times: from 9:15 to 10:35, from 11:30 to 11:45, from 13:00 to 13:40, from 15:10 to 16:20\nFriday: Booked at the following times: from 9:50 to 10:10, from 10:25 to 10:50, from 12:15 to 13:35, from 14:25 to 15:45\n\n\nEmma can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nRachel is in a timezone that is one hour ahead of other participants\nNancy asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nAva prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nKaren is flexible to miss (at most) 10 minutes of the meeting\nOlivia can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:136", "request": "Karen, Alice, Nancy, Yolanda and Ava work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:15, from 10:30 to 11:20, anytime after 11:35\nTuesday: Booked at the following times: from 10:25 to 11:55, from 13:05 to 14:15, from 14:55 to 15:10, from 15:45 to 16:15\nWednesday: Free only at the following times: from 9:00 to 9:10, from 9:35 to 10:10, from 11:05 to 12:15, anytime after 13:35\nThursday: Free only at the following times: from 9:00 to 9:55, from 11:00 to 11:00, from 11:50 to 13:20, anytime after 14:15\nFriday: Free only at the following times: anytime before 10:30, from 11:00 to 11:00, from 11:55 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:10, from 10:20 to 10:50, from 12:10 to 12:55, from 13:45 to 13:50, anytime after 15:15\nTuesday: Booked at the following times: from 9:55 to 11:15, from 11:55 to 13:15, from 14:20 to 15:10\nWednesday: Free only at the following times: anytime before 10:00, from 10:50 to 11:40, from 12:45 to 13:45, from 13:55 to 14:20, anytime after 14:45\nThursday: Free only at the following times: anytime before 9:15, from 9:35 to 10:35, from 11:30 to 17:00\nFriday: Free only at the following times: anytime before 9:20, from 10:40 to 12:05, from 12:35 to 13:50, from 14:10 to 15:25, from 16:40 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:20, from 11:30 to 12:40, from 14:00 to 14:05, anytime after 14:15\nTuesday: Free only at the following times: anytime before 10:15, from 11:45 to 12:55, from 13:00 to 17:00\nWednesday: Free only at the following times: anytime before 9:25, from 10:55 to 11:00, anytime after 12:10\nThursday: Booked at the following times: from 9:50 to 10:55, from 11:40 to 13:05, from 13:40 to 14:30\nFriday: Booked at the following times: from 9:20 to 10:50, from 11:40 to 13:05, from 13:20 to 13:40, from 14:50 to 15:20\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:55, from 10:05 to 10:40, from 11:35 to 11:55, from 12:45 to 13:25, anytime after 13:35\nTuesday: Booked at the following times: from 10:10 to 11:25, from 11:40 to 12:30, from 13:40 to 13:45, from 14:00 to 14:10\nWednesday: Booked at the following times: from 9:45 to 10:25, from 11:45 to 12:55, from 14:05 to 14:55\nThursday: Booked at the following times: from 9:45 to 10:35, from 10:55 to 11:30, from 12:10 to 13:15\nFriday: Free only at the following times: anytime before 10:15, from 10:25 to 11:30, anytime after 12:15\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:25, from 10:25 to 11:25, from 12:55 to 14:25, from 15:30 to 16:00\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:10 to 11:15, from 12:35 to 17:00\nWednesday: Free only at the following times: anytime before 9:35, from 10:20 to 10:30, from 11:05 to 12:25, from 12:55 to 13:30, anytime after 14:50\nThursday: Booked at the following times: from 10:30 to 11:25, from 11:30 to 12:55\nFriday: Free only at the following times: from 9:15 to 10:10, anytime after 10:45\n\n\nKaren feels tired late in the day and requires the meeting to end before 4pm\nAlice needs a break for lunch on Wednesday from 12:30 to 1:00\nNancy prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nYolanda is flexible to miss the last (at most) 10 minutes of the meeting\nAva is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:137", "request": "Yolanda, Eve and Claire work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:25 to 10:05, from 10:55 to 11:15\nTuesday: Booked at the following times: from 9:15 to 9:25, from 9:25 to 10:10, from 11:00 to 11:45\nWednesday: Booked at the following times: from 9:45 to 10:50, from 12:00 to 13:30, from 13:45 to 14:00\nThursday: Booked at the following times: from 10:00 to 10:05, from 11:10 to 12:00, from 12:20 to 13:40, from 14:30 to 14:55\nFriday: Booked at the following times: from 9:50 to 11:05, from 11:10 to 11:45\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:55, from 10:55 to 11:50, from 12:05 to 13:20, anytime after 13:30\nTuesday: Booked at the following times: from 9:30 to 10:30, from 11:35 to 11:45, from 11:55 to 12:10, from 13:05 to 13:40\nWednesday: Booked at the following times: from 9:20 to 10:30, from 11:45 to 12:20, from 13:00 to 14:30\nThursday: Free only at the following times: anytime before 9:35, from 10:10 to 10:15, from 11:15 to 11:55, anytime after 12:50\nFriday: Free only at the following times: from 9:00 to 10:00, from 10:10 to 11:30, from 12:15 to 12:20, from 13:00 to 14:15, from 15:15 to 17:00\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:20, from 11:30 to 12:10, from 12:25 to 17:00\nTuesday: Booked at the following times: from 9:45 to 11:05, from 11:10 to 11:40\nWednesday: Booked at the following times: from 9:00 to 9:10, from 10:20 to 11:45\nThursday: Free only at the following times: anytime before 10:00, from 10:45 to 11:30, from 12:05 to 12:55, from 14:10 to 17:00\nFriday: Booked at the following times: from 10:30 to 10:50, from 10:55 to 11:50, from 13:10 to 14:30, from 15:15 to 16:35\n\n\nYolanda is flexible to miss (at most) 10 minutes of the meeting\nEve feels tired late in the day and requires the meeting to end before 4pm\nClaire asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:140", "request": "Charlotte, Eve, Isabella, Alice, Emma and Nancy work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 9:25 to 10:25, from 10:40 to 11:40, from 12:15 to 17:00\nTuesday: Booked at the following times: from 10:15 to 10:20, from 10:45 to 11:10, from 11:50 to 13:00, from 14:05 to 14:10\nWednesday: Free only at the following times: from 9:00 to 9:25, from 10:15 to 10:35, anytime after 11:05\nThursday: Booked at the following times: from 10:05 to 11:05, from 11:30 to 11:35\nFriday: Booked at the following times: from 10:10 to 10:20, from 10:35 to 11:00, from 12:25 to 12:55, from 13:10 to 13:45\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:30, from 11:35 to 12:20, from 13:35 to 14:00, from 14:10 to 15:35\nTuesday: Booked at the following times: from 10:05 to 10:45, from 12:15 to 12:30\nWednesday: Booked at the following times: from 9:35 to 10:30, from 11:00 to 11:25\nThursday: Booked at the following times: from 9:25 to 10:20, from 10:55 to 12:20, from 13:40 to 14:30, from 15:00 to 15:50\nFriday: Booked at the following times: from 10:00 to 10:55, from 12:20 to 13:40, from 14:05 to 14:25\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:55, from 12:20 to 12:45, from 13:00 to 14:20\nTuesday: Free only at the following times: anytime before 9:40, from 11:05 to 11:55, from 13:00 to 13:40, from 13:50 to 14:45, anytime after 15:55\nWednesday: Booked at the following times: from 9:10 to 9:45, from 10:30 to 11:50, from 12:00 to 12:20, from 12:25 to 13:30\nThursday: Booked at the following times: from 9:25 to 9:35, from 10:50 to 12:20, from 13:15 to 14:00\nFriday: Booked at the following times: from 9:20 to 9:55, from 11:05 to 11:25\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: from 9:30 to 10:05, from 11:25 to 12:30, from 13:20 to 14:00, anytime after 15:30\nTuesday: Booked at the following times: from 9:30 to 10:55, from 11:50 to 12:40, from 13:50 to 14:55\nWednesday: Free only at the following times: anytime before 10:00, from 10:30 to 11:25, from 12:55 to 13:45, from 14:55 to 15:50\nThursday: Free only at the following times: anytime before 9:30, from 9:35 to 10:05, from 10:25 to 11:35, from 12:30 to 12:40, from 14:10 to 17:00\nFriday: Booked at the following times: from 10:25 to 11:00, from 11:50 to 11:55\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 11:15, from 11:55 to 12:45\nTuesday: Free only at the following times: anytime before 10:00, from 11:30 to 11:35, anytime after 12:00\nWednesday: Free only at the following times: anytime before 9:20, from 10:25 to 11:20, from 11:35 to 12:10, from 13:00 to 17:00\nThursday: Booked at the following times: from 10:20 to 10:35, from 11:00 to 11:10, from 11:50 to 12:05\nFriday: Free only at the following times: from 9:00 to 10:20, from 11:45 to 11:45, from 13:00 to 13:00, from 13:30 to 14:45, from 15:45 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:20, from 10:30 to 12:00, from 12:55 to 13:15, from 14:30 to 15:05, from 15:35 to 17:00\nTuesday: Booked at the following times: from 9:25 to 10:25, from 10:45 to 11:55, from 12:30 to 13:40, from 14:55 to 15:05\nWednesday: Booked at the following times: from 10:20 to 11:20, from 11:35 to 13:00, from 14:25 to 14:50, from 15:45 to 15:55\nThursday: Free only at the following times: anytime before 10:15, from 11:45 to 12:50, from 13:20 to 17:00\nFriday: Booked at the following times: from 10:15 to 10:55, from 11:45 to 13:10, from 14:00 to 14:20, from 15:50 to 16:10\n\n\nCharlotte asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nEve is flexible to miss the last (at most) 10 minutes of the meeting\nIsabella prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nAlice can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nEmma is flexible to miss (at most) 10 minutes of the meeting\nNancy needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:144", "request": "Sarah, Isabella, Eve, Charlotte and Ava work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:15, from 10:15 to 10:15, from 10:50 to 10:55, from 11:25 to 17:00\nTuesday: Free only at the following times: anytime before 10:15, from 11:45 to 12:05, from 12:20 to 13:50, from 14:10 to 17:00\nWednesday: Booked at the following times: from 9:20 to 9:40, from 10:00 to 10:45, from 10:55 to 12:25\nThursday: Free only at the following times: from 9:00 to 9:15, from 10:40 to 11:05, anytime after 11:45\nFriday: Booked at the following times: from 10:25 to 11:45, from 12:15 to 12:40\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:20, from 10:40 to 11:55, from 13:25 to 17:00\nTuesday: Booked at the following times: from 10:20 to 10:50, from 11:55 to 13:25\nWednesday: Booked at the following times: from 9:15 to 10:05, from 11:35 to 12:35, from 14:00 to 15:05, from 15:20 to 16:25\nThursday: Free only at the following times: from 9:00 to 9:45, from 11:05 to 12:25, from 12:40 to 13:25, anytime after 14:20\nFriday: Booked at the following times: from 9:15 to 10:20, from 11:40 to 12:20\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 9:40 to 11:05, from 12:05 to 13:15, from 14:10 to 17:00\nTuesday: Booked at the following times: from 10:05 to 11:15, from 11:50 to 12:20, from 13:00 to 14:15, from 14:15 to 15:25\nWednesday: Booked at the following times: from 9:50 to 10:05, from 11:20 to 11:40, from 11:40 to 12:30, from 12:55 to 13:10\nThursday: Free only at the following times: from 9:00 to 10:30, from 11:30 to 12:20, anytime after 12:40\nFriday: Booked at the following times: from 9:15 to 10:20, from 11:05 to 12:10, from 13:10 to 13:30\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:40, from 10:25 to 10:35, from 11:50 to 17:00\nTuesday: Booked at the following times: from 10:15 to 11:40, from 13:10 to 13:45, from 14:05 to 15:15, from 15:55 to 16:45\nWednesday: Booked at the following times: from 9:35 to 10:15, from 10:55 to 11:10, from 11:25 to 12:05\nThursday: Free only at the following times: anytime before 9:30, from 10:00 to 10:40, from 11:05 to 11:25, from 11:35 to 12:45, from 14:05 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:00, from 10:55 to 12:10, from 13:10 to 13:20, from 14:10 to 15:20, from 16:25 to 17:00\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 10:35, from 10:35 to 12:05\nTuesday: Booked at the following times: from 9:00 to 9:45, from 11:00 to 12:05, from 12:55 to 13:00\nWednesday: Free only at the following times: from 9:00 to 9:50, from 10:40 to 11:00, from 12:00 to 13:30, from 13:50 to 14:20, anytime after 14:45\nThursday: Booked at the following times: from 10:30 to 11:00, from 12:20 to 13:15, from 13:20 to 14:20\nFriday: Booked at the following times: from 10:15 to 10:45, from 11:30 to 11:35\n\n\nSarah is flexible to miss the last (at most) 10 minutes of the meeting\nIsabella feels tired late in the day and requires the meeting to end before 4pm\nEve needs a break for lunch on Wednesday from 12:30 to 1:00\nCharlotte is fine to stay until 6pm to accommodate the meeting\nAva is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:145", "request": "Yolanda, Lisa, Alice, Ava and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 9:50, from 10:55 to 12:25, from 13:30 to 14:55, anytime after 15:35\nTuesday: Free only at the following times: from 9:00 to 9:45, from 11:05 to 12:20, anytime after 13:05\nWednesday: Free only at the following times: anytime before 9:50, from 11:05 to 11:45, from 13:10 to 17:00\nThursday: Free only at the following times: anytime before 9:25, from 10:10 to 11:35, from 12:55 to 14:00, from 14:35 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:00, from 10:25 to 10:50, from 11:05 to 11:15, anytime after 11:40\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:00, from 11:20 to 12:40\nTuesday: Booked at the following times: from 9:05 to 10:15, from 10:20 to 11:20, from 12:10 to 13:00, from 14:30 to 15:10\nWednesday: Free only at the following times: from 9:00 to 9:55, from 11:10 to 11:50, from 13:20 to 14:25, from 14:40 to 14:40, anytime after 15:25\nThursday: Booked at the following times: from 10:05 to 11:25, from 12:40 to 12:50\nFriday: Free only at the following times: from 10:30 to 11:35, anytime after 12:45\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 9:00 to 9:45, from 9:50 to 10:05, from 11:20 to 12:45, from 12:45 to 13:55\nTuesday: Free only at the following times: anytime before 10:15, from 10:40 to 10:40, anytime after 11:45\nWednesday: Free only at the following times: from 9:50 to 10:05, from 10:25 to 11:00, from 11:50 to 17:00\nThursday: Free only at the following times: anytime before 9:40, from 9:50 to 10:55, from 11:50 to 12:30, anytime after 13:20\nFriday: Free only at the following times: anytime before 9:40, from 11:00 to 12:20, from 12:25 to 12:25, anytime after 12:50\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 11:00, from 11:50 to 13:00, from 13:40 to 14:40, from 15:30 to 16:20\nTuesday: Booked at the following times: from 9:30 to 9:45, from 10:45 to 11:00\nWednesday: Booked at the following times: from 10:30 to 11:00, from 11:30 to 12:00, from 13:20 to 13:30, from 14:55 to 15:40\nThursday: Free only at the following times: anytime before 10:00, from 11:20 to 11:40, from 12:00 to 12:25, anytime after 13:35\nFriday: Booked at the following times: from 10:15 to 11:45, from 12:00 to 12:25, from 13:45 to 14:25, from 15:45 to 15:55\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:20, from 11:00 to 12:00, from 12:55 to 13:40\nTuesday: Free only at the following times: from 9:00 to 9:20, from 9:50 to 10:05, from 10:35 to 11:55, from 12:20 to 13:15, anytime after 14:15\nWednesday: Booked at the following times: from 10:30 to 11:30, from 11:50 to 13:10, from 13:10 to 14:20\nThursday: Free only at the following times: from 9:00 to 9:50, from 10:15 to 11:30, from 12:35 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:15, from 10:20 to 10:50, from 11:55 to 12:35, from 12:45 to 13:45, from 15:05 to 17:00\n\n\nYolanda is in a timezone that is one hour ahead of other participants\nLisa is fine to stay until 6pm to accommodate the meeting\nAlice can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nAva prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nEmma can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:146", "request": "Isabella, Sarah, Zoey, Victoria and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:30, from 10:45 to 11:55, from 13:15 to 14:30, from 16:00 to 16:25\nTuesday: Free only at the following times: from 9:00 to 9:45, from 10:40 to 11:30, from 11:45 to 17:00\nWednesday: Booked at the following times: from 9:40 to 10:15, from 10:25 to 11:20, from 11:30 to 11:35\nThursday: Booked at the following times: from 9:40 to 9:50, from 10:45 to 10:50\nFriday: Free only at the following times: from 9:00 to 9:30, from 10:20 to 11:40, from 13:05 to 13:35, from 14:40 to 17:00\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 9:35, from 10:00 to 11:20\nTuesday: Free only at the following times: anytime before 9:40, from 10:00 to 10:50, from 11:35 to 12:20, anytime after 12:40\nWednesday: Booked at the following times: from 10:15 to 10:55, from 11:15 to 12:15, from 13:20 to 13:30, from 13:40 to 14:20\nThursday: Free only at the following times: from 9:00 to 10:15, from 10:35 to 10:35, from 11:15 to 12:10, anytime after 13:35\nFriday: Booked at the following times: from 9:50 to 10:25, from 10:40 to 11:50, from 13:10 to 13:55, from 14:45 to 15:15\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 10:00, from 10:55 to 11:40, from 11:55 to 12:45, from 12:50 to 13:15\nTuesday: Booked at the following times: from 10:25 to 11:10, from 12:10 to 13:00, from 14:20 to 14:45, from 15:05 to 15:35\nWednesday: Free only at the following times: from 9:00 to 9:15, from 10:35 to 10:55, from 12:20 to 13:05, from 14:15 to 14:30, from 15:35 to 17:00\nThursday: Free only at the following times: anytime before 9:55, from 11:00 to 11:35, from 12:50 to 17:00\nFriday: Free only at the following times: anytime before 9:05, from 9:55 to 10:35, from 11:40 to 12:45, from 13:05 to 14:35, from 15:30 to 17:00\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:55, from 10:35 to 11:00, from 11:45 to 11:50, anytime after 13:10\nTuesday: Free only at the following times: from 9:00 to 10:15, from 11:15 to 12:30, from 13:45 to 14:40, anytime after 15:35\nWednesday: Booked at the following times: from 9:45 to 10:55, from 11:05 to 11:20\nThursday: Booked at the following times: from 9:45 to 10:40, from 11:50 to 12:05, from 13:05 to 14:10\nFriday: Booked at the following times: from 9:35 to 10:10, from 10:45 to 11:40\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:20 to 11:50, from 13:20 to 13:20, from 13:40 to 13:55, anytime after 15:10\nTuesday: Free only at the following times: from 9:00 to 9:15, from 9:30 to 10:55, from 11:15 to 11:40, from 12:15 to 17:00\nWednesday: Booked at the following times: from 10:20 to 11:25, from 11:50 to 12:40, from 14:00 to 15:10, from 16:35 to 16:50\nThursday: Free only at the following times: from 9:00 to 9:20, from 9:25 to 10:30, from 11:45 to 12:55, anytime after 13:00\nFriday: Free only at the following times: anytime before 10:05, from 11:20 to 12:10, from 12:45 to 17:00\n\n\nIsabella prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nSarah feels tired late in the day and requires the meeting to end before 4pm\nZoey needs a break for lunch on Wednesday from 12:30 to 1:00\nVictoria is flexible to miss the last (at most) 10 minutes of the meeting\nMary is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:148", "request": "Sophia, Alice, Lisa and Victoria work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:25, from 10:25 to 11:30, from 12:30 to 13:20, from 14:35 to 14:40\nTuesday: Booked at the following times: from 9:10 to 10:20, from 10:30 to 11:50, from 13:10 to 14:25, from 15:10 to 15:55\nWednesday: Free only at the following times: from 9:00 to 9:10, from 10:25 to 11:35, from 11:50 to 12:20, from 13:10 to 13:55, from 15:10 to 17:00\nThursday: Booked at the following times: from 10:05 to 11:10, from 12:05 to 12:10, from 12:20 to 13:30\nFriday: Free only at the following times: from 9:00 to 10:00, from 11:05 to 11:45, from 12:05 to 12:30, from 13:30 to 14:05, from 15:00 to 17:00\n\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:15, from 11:35 to 13:00, from 14:25 to 14:55, from 16:15 to 16:45\nTuesday: Free only at the following times: from 10:05 to 10:50, anytime after 12:00\nWednesday: Booked at the following times: from 10:00 to 10:10, from 11:05 to 11:50, from 12:20 to 12:25\nThursday: Booked at the following times: from 9:35 to 9:50, from 9:55 to 11:00, from 12:10 to 13:35, from 13:40 to 14:20\nFriday: Booked at the following times: anytime before 10:10, from 10:10 to 10:55, from 11:40 to 13:05, from 13:25 to 13:40\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: anytime before 10:20, from 11:35 to 11:55\nTuesday: Booked at the following times: from 10:00 to 10:40, from 11:20 to 12:00, from 13:20 to 14:45, from 15:20 to 15:25\nWednesday: Free only at the following times: anytime before 9:15, from 10:15 to 11:40, from 12:15 to 13:40, anytime after 14:05\nThursday: Booked at the following times: from 9:50 to 11:10, from 12:30 to 13:05\nFriday: Booked at the following times: from 10:05 to 10:35, from 11:50 to 12:00, from 12:10 to 12:30, from 14:00 to 14:40\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 10:50, from 11:40 to 12:30\nTuesday: Booked at the following times: from 9:40 to 10:30, from 11:05 to 11:20\nWednesday: Free only at the following times: from 9:00 to 10:20, from 11:15 to 11:55, from 12:30 to 17:00\nThursday: Free only at the following times: anytime before 10:30, from 11:35 to 11:40, from 12:55 to 13:55, anytime after 14:50\nFriday: Free only at the following times: from 9:00 to 10:20, from 11:15 to 11:15, from 12:40 to 17:00\n\n\nSophia is flexible to miss (at most) 10 minutes of the meeting\nAlice feels tired late in the day and requires the meeting to end before 4pm\nLisa is in a timezone that is one hour ahead of other participants\nVictoria can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:152", "request": "Alice, Victoria, Claire, Nancy, Olivia and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Alice's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:45, from 12:20 to 12:45, from 14:05 to 14:40, from 15:50 to 16:00\nTuesday: Booked at the following times: from 9:45 to 9:55, from 11:05 to 11:45\nWednesday: Booked at the following times: from 9:55 to 10:35, from 11:55 to 13:20, from 13:40 to 15:05, from 16:05 to 16:45\nThursday: Free only at the following times: from 9:00 to 10:30, from 11:25 to 11:30, from 12:00 to 13:10, from 13:15 to 17:00\nFriday: Booked at the following times: from 9:45 to 10:20, from 10:55 to 11:35\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:25, from 11:20 to 12:10, from 13:40 to 14:35, anytime after 14:55\nTuesday: Free only at the following times: anytime before 9:40, from 10:50 to 11:40, from 13:00 to 14:10, from 14:40 to 15:10, from 15:55 to 17:00\nWednesday: Booked at the following times: from 9:00 to 9:30, from 10:55 to 11:45, from 11:50 to 13:10, from 13:15 to 13:50\nThursday: Booked at the following times: from 9:55 to 11:15, from 11:40 to 12:30\nFriday: Booked at the following times: from 9:10 to 10:30, from 10:40 to 12:05\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:30, from 11:00 to 12:30, from 13:30 to 13:40\nTuesday: Free only at the following times: from 9:00 to 9:50, from 9:55 to 10:15, from 11:35 to 12:50, from 13:30 to 17:00\nWednesday: Free only at the following times: anytime before 9:10, from 9:30 to 9:30, from 10:40 to 11:30, from 12:30 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:25, from 10:40 to 11:30, from 12:20 to 17:00\nFriday: Free only at the following times: anytime before 9:45, from 10:20 to 11:25, anytime after 11:40\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:05, from 10:10 to 11:40, from 12:35 to 13:05, from 13:45 to 13:55, anytime after 15:10\nTuesday: Booked at the following times: from 9:30 to 9:40, from 9:50 to 9:55, from 11:10 to 12:40\nWednesday: Booked at the following times: from 9:05 to 9:10, from 10:10 to 11:20, from 12:20 to 12:30\nThursday: Booked at the following times: from 9:40 to 10:30, from 11:30 to 12:40\nFriday: Booked at the following times: from 10:25 to 10:40, from 12:05 to 12:45, from 13:05 to 13:30\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:45 to 10:35, from 11:05 to 12:25\nTuesday: Booked at the following times: from 9:50 to 10:45, from 12:15 to 12:25\nWednesday: Free only at the following times: anytime before 10:20, from 10:55 to 11:30, anytime after 12:35\nThursday: Free only at the following times: anytime before 10:25, from 10:40 to 11:15, from 12:05 to 12:25, from 13:05 to 17:00\nFriday: Booked at the following times: from 9:20 to 10:10, from 11:20 to 12:15, from 13:35 to 15:00\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:05, from 11:05 to 11:45, from 11:50 to 12:40\nTuesday: Booked at the following times: from 9:45 to 10:55, from 12:20 to 12:30, from 13:00 to 13:20, from 14:00 to 14:40\nWednesday: Booked at the following times: from 9:45 to 10:40, from 12:05 to 12:20, from 13:30 to 14:00\nThursday: Booked at the following times: from 9:45 to 9:55, from 11:25 to 11:40\nFriday: Booked at the following times: from 9:10 to 10:00, from 10:00 to 11:15\n\n\nAlice needs a break for lunch on Wednesday from 12:30 to 1:00\nVictoria feels tired late in the day and requires the meeting to end before 4pm\nClaire asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nNancy prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nOlivia can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nSarah prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:153", "request": "Claire, Charlotte, Eve, Zoey and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:25, from 12:25 to 12:50\nTuesday: Booked at the following times: from 9:30 to 9:50, from 10:40 to 11:05\nWednesday: Booked at the following times: from 9:40 to 11:00, from 11:20 to 12:15, from 13:25 to 14:25\nThursday: Booked at the following times: from 9:00 to 9:30, from 9:55 to 11:20\nFriday: Free only at the following times: from 9:00 to 9:05, from 10:20 to 10:20, from 10:35 to 11:00, from 12:15 to 13:35, anytime after 15:00\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:35, from 12:05 to 13:00\nTuesday: Booked at the following times: from 9:30 to 10:35, from 11:00 to 11:55\nWednesday: Booked at the following times: from 9:05 to 9:35, from 10:30 to 11:05, from 12:00 to 12:45\nThursday: Booked at the following times: from 9:35 to 10:25, from 10:45 to 12:05\nFriday: Free only at the following times: from 9:00 to 9:55, from 10:45 to 11:35, anytime after 12:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:30, from 11:35 to 12:00, from 13:15 to 13:45, from 13:50 to 17:00\nTuesday: Free only at the following times: anytime before 10:05, from 11:15 to 11:45, anytime after 13:05\nWednesday: Free only at the following times: anytime before 10:25, from 10:35 to 11:50, from 12:40 to 13:35, from 13:45 to 17:00\nThursday: Booked at the following times: from 9:55 to 11:25, from 12:00 to 12:40\nFriday: Booked at the following times: from 9:15 to 9:45, from 9:55 to 10:00, from 11:25 to 12:20, from 12:45 to 13:10\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:05, from 10:00 to 10:50, from 11:00 to 12:10, from 12:15 to 13:45, from 15:15 to 17:00\nTuesday: Booked at the following times: from 9:35 to 9:50, from 10:35 to 10:40\nWednesday: Free only at the following times: anytime before 10:05, from 10:25 to 11:35, from 12:50 to 17:00\nThursday: Booked at the following times: from 10:10 to 11:15, from 11:20 to 11:45, from 12:05 to 12:35\nFriday: Booked at the following times: from 9:40 to 11:05, from 11:15 to 12:40, from 14:00 to 14:45, from 16:10 to 16:50\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 9:40 to 10:25, from 11:05 to 12:30, anytime after 13:00\nTuesday: Booked at the following times: from 10:15 to 11:25, from 12:15 to 12:50\nWednesday: Free only at the following times: from 9:00 to 10:10, from 11:30 to 12:10, from 12:40 to 13:15, from 14:40 to 15:05, anytime after 15:20\nThursday: Booked at the following times: from 10:25 to 11:35, from 12:55 to 13:20, from 13:35 to 15:00, from 16:30 to 16:55\nFriday: Booked at the following times: from 9:25 to 10:10, from 11:10 to 11:35\n\n\nClaire can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nCharlotte is flexible to miss (at most) 10 minutes of the meeting\nEve is flexible to miss the last (at most) 10 minutes of the meeting\nZoey feels tired late in the day and requires the meeting to end before 4pm\nMary prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:154", "request": "Sophia, Isabella, Victoria and Emma work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:15, from 11:15 to 12:10, from 12:35 to 12:40\nTuesday: Free only at the following times: anytime before 10:20, from 10:45 to 12:05, from 13:30 to 17:00\nWednesday: Free only at the following times: anytime before 9:35, from 10:25 to 10:40, from 11:35 to 12:50, anytime after 14:00\nThursday: Booked at the following times: from 10:15 to 10:45, from 11:00 to 12:15\nFriday: Free only at the following times: anytime before 10:05, from 10:20 to 10:20, from 11:15 to 11:45, anytime after 12:25\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:20, from 10:25 to 11:20, from 12:40 to 13:35\nTuesday: Free only at the following times: anytime before 9:25, from 9:30 to 9:45, from 10:30 to 10:30, from 11:20 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:05, from 10:55 to 11:25, from 12:40 to 13:10, from 14:40 to 16:10, anytime after 16:30\nThursday: Booked at the following times: from 10:00 to 10:40, from 10:55 to 11:20\nFriday: Booked at the following times: from 10:15 to 11:05, from 11:45 to 13:15\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:30, from 11:05 to 11:15, from 12:35 to 13:20, from 14:30 to 15:50, from 16:40 to 17:00\nTuesday: Free only at the following times: anytime before 9:55, from 11:20 to 12:15, from 13:45 to 15:10, from 16:25 to 17:00\nWednesday: Booked at the following times: from 9:30 to 10:35, from 11:20 to 12:30\nThursday: Booked at the following times: from 9:25 to 10:25, from 11:20 to 12:25, from 13:20 to 14:05\nFriday: Free only at the following times: anytime before 9:30, from 9:55 to 10:30, from 11:40 to 11:40, anytime after 12:45\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:05, from 11:10 to 12:10, from 13:15 to 13:25, from 13:30 to 13:50\nTuesday: Free only at the following times: from 9:00 to 9:35, from 10:40 to 11:50, anytime after 13:15\nWednesday: Booked at the following times: from 10:30 to 11:40, from 12:35 to 13:50, from 13:55 to 14:05\nThursday: Free only at the following times: anytime before 9:10, from 10:20 to 11:15, from 12:00 to 12:25, from 13:00 to 13:20, anytime after 14:05\nFriday: Free only at the following times: anytime before 9:30, from 10:50 to 12:15, from 13:45 to 15:10, anytime after 16:30\n\n\nSophia is fine to stay until 6pm to accommodate the meeting\nIsabella needs a break for lunch on Wednesday from 12:30 to 1:00\nVictoria is flexible to miss (at most) 10 minutes of the meeting\nEmma feels tired late in the day and requires the meeting to end before 4pm\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:156", "request": "Olivia, Lisa, Victoria and Amelia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:35, from 9:45 to 10:20, from 10:25 to 11:05, from 11:20 to 12:00, from 12:40 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:25, from 9:45 to 10:25, from 10:55 to 11:50, anytime after 12:05\nWednesday: Free only at the following times: from 9:00 to 10:25, from 10:55 to 11:30, anytime after 12:30\nThursday: Free only at the following times: anytime before 9:25, from 10:05 to 10:40, from 11:20 to 11:35, from 12:00 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:40, from 9:55 to 10:40, from 11:20 to 12:45, from 13:30 to 14:40, anytime after 15:30\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:00, from 10:55 to 12:00\nTuesday: Booked at the following times: from 10:05 to 10:45, from 11:20 to 11:40, from 11:45 to 12:45, from 13:55 to 14:35\nWednesday: Booked at the following times: from 9:05 to 9:55, from 10:40 to 11:05\nThursday: Booked at the following times: from 10:25 to 11:35, from 12:35 to 14:05, from 14:35 to 15:45, from 15:50 to 16:35\nFriday: Free only at the following times: from 9:00 to 9:50, from 10:40 to 11:20, anytime after 11:30\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 11:30, from 12:30 to 13:40, from 14:05 to 14:20\nTuesday: Free only at the following times: anytime before 10:20, from 11:20 to 12:50, anytime after 14:20\nWednesday: Booked at the following times: from 9:10 to 10:10, from 10:55 to 12:10, from 13:00 to 14:00, from 15:30 to 15:45\nThursday: Booked at the following times: from 10:30 to 11:10, from 11:50 to 13:00, from 13:40 to 14:10\nFriday: Free only at the following times: from 9:00 to 10:05, from 10:15 to 10:30, from 10:55 to 17:00\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:30, from 11:25 to 12:00, from 12:30 to 13:40, anytime after 15:00\nTuesday: Free only at the following times: from 9:00 to 10:05, from 10:45 to 10:50, from 11:20 to 12:30, from 12:40 to 13:35, anytime after 13:50\nWednesday: Booked at the following times: from 9:30 to 11:00, from 12:15 to 12:50, from 14:15 to 15:10, from 16:15 to 16:30\nThursday: Free only at the following times: from 9:00 to 9:05, from 9:15 to 10:30, from 11:45 to 11:55, anytime after 12:55\nFriday: Booked at the following times: from 9:15 to 9:35, from 11:00 to 12:25, from 12:25 to 13:40\n\n\nOlivia can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLisa asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nVictoria is flexible to miss the last (at most) 10 minutes of the meeting\nAmelia is flexible to miss (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:157", "request": "Eve, Ava, Lisa and Yolanda work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 10:05 to 11:30, from 12:35 to 13:25, anytime after 13:30\nTuesday: Free only at the following times: from 9:00 to 9:40, from 10:05 to 10:35, from 11:05 to 12:35, from 12:50 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:45, from 11:10 to 11:40, from 12:45 to 12:45, from 13:50 to 14:35, anytime after 14:45\nThursday: Booked at the following times: from 9:10 to 10:25, from 11:15 to 12:30\nFriday: Booked at the following times: from 9:30 to 10:55, from 10:55 to 11:15\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:50, from 13:15 to 13:25, from 14:10 to 14:55, from 15:45 to 16:30\nTuesday: Booked at the following times: from 9:35 to 10:45, from 10:55 to 11:25\nWednesday: Free only at the following times: from 9:00 to 9:50, from 10:00 to 10:55, from 11:00 to 11:30, from 12:25 to 13:20, from 14:25 to 17:00\nThursday: Free only at the following times: anytime before 9:25, from 10:05 to 11:05, anytime after 11:10\nFriday: Booked at the following times: from 9:15 to 9:50, from 10:20 to 11:40, from 12:30 to 12:35\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:30, from 10:15 to 11:25, from 12:50 to 13:55, from 14:15 to 17:00\nTuesday: Booked at the following times: from 9:55 to 10:10, from 10:50 to 11:20\nWednesday: Free only at the following times: from 9:00 to 9:50, from 10:10 to 11:30, from 11:40 to 12:35, from 13:45 to 14:40, anytime after 16:00\nThursday: Free only at the following times: from 9:00 to 9:45, from 10:35 to 10:40, anytime after 10:55\nFriday: Free only at the following times: anytime before 9:35, from 10:30 to 10:35, from 11:45 to 11:55, from 13:05 to 14:00, anytime after 14:05\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:40, from 10:00 to 10:35, anytime after 10:50\nTuesday: Free only at the following times: anytime before 9:25, from 10:25 to 11:40, from 12:40 to 13:20, from 14:35 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:50, from 11:00 to 12:25, from 12:40 to 13:30, from 14:45 to 17:00\nThursday: Booked at the following times: from 9:35 to 9:55, from 10:50 to 11:30, from 12:15 to 13:45, from 14:40 to 15:30\nFriday: Free only at the following times: from 9:00 to 10:20, from 11:05 to 11:45, from 12:30 to 13:20, anytime after 13:35\n\n\nEve is in a timezone that is one hour ahead of other participants\nAva prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLisa feels tired late in the day and requires the meeting to end before 4pm\nYolanda asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:160", "request": "Ava, Karen, Eve, Lisa and Isabella work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:30, from 11:25 to 11:30, from 13:00 to 13:45\nTuesday: Free only at the following times: from 10:00 to 11:15, from 11:40 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:30, from 11:20 to 11:45, from 12:55 to 17:00\nThursday: Booked at the following times: from 9:05 to 9:30, from 10:25 to 11:20, from 12:05 to 13:05\nFriday: Free only at the following times: anytime before 10:05, from 10:10 to 11:10, from 12:35 to 13:25, anytime after 14:05\n\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:20, from 10:50 to 12:00, from 12:20 to 12:50, from 12:50 to 14:20\nTuesday: Free only at the following times: from 9:00 to 9:20, from 9:50 to 11:15, from 11:20 to 11:55, anytime after 13:00\nWednesday: Free only at the following times: anytime before 9:35, from 10:55 to 11:25, from 12:55 to 13:45, anytime after 14:05\nThursday: Free only at the following times: from 9:00 to 9:35, from 11:05 to 11:35, from 13:00 to 13:45, from 14:40 to 15:25, anytime after 16:45\nFriday: Booked at the following times: from 10:00 to 10:30, from 10:55 to 12:10, from 12:35 to 13:10, from 13:50 to 15:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:10, from 10:35 to 11:25, from 12:55 to 14:15, from 14:25 to 15:45, anytime after 16:45\nTuesday: Booked at the following times: from 9:40 to 10:10, from 11:35 to 11:40, from 12:45 to 12:55\nWednesday: Booked at the following times: from 9:45 to 10:15, from 11:15 to 11:35, from 11:40 to 12:30\nThursday: Booked at the following times: from 9:30 to 9:45, from 10:30 to 12:00\nFriday: Free only at the following times: from 9:10 to 9:15, from 10:15 to 10:50, anytime after 12:15\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 9:15 to 10:05, from 10:30 to 10:40\nTuesday: Free only at the following times: anytime before 10:20, from 11:25 to 11:45, from 12:55 to 17:00\nWednesday: Booked at the following times: from 9:35 to 10:20, from 11:45 to 12:40\nThursday: Free only at the following times: from 9:00 to 10:20, from 11:30 to 12:05, from 12:25 to 13:25, from 13:50 to 15:05, from 15:25 to 17:00\nFriday: Booked at the following times: from 9:25 to 10:50, from 12:10 to 13:20\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:20 to 10:40, from 11:50 to 12:45, anytime after 13:05\nTuesday: Free only at the following times: anytime before 9:45, from 11:05 to 11:05, from 11:50 to 13:00, from 14:00 to 14:55, from 16:00 to 17:00\nWednesday: Free only at the following times: anytime before 9:05, from 10:05 to 10:10, from 10:40 to 11:35, from 11:55 to 13:15, anytime after 14:20\nThursday: Free only at the following times: from 9:00 to 9:50, from 11:15 to 12:00, from 12:25 to 12:30, anytime after 13:45\nFriday: Booked at the following times: from 9:15 to 9:20, from 9:20 to 10:20, from 11:15 to 12:30\n\n\nAva is fine to stay until 6pm to accommodate the meeting\nKaren is in a timezone that is one hour ahead of other participants\nEve is flexible to miss the last (at most) 10 minutes of the meeting\nLisa feels tired late in the day and requires the meeting to end before 4pm\nIsabella can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:165", "request": "Nancy, Emma, Ava, Mary, Yolanda and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:10, from 11:20 to 12:40, from 13:20 to 13:40\nTuesday: Free only at the following times: anytime before 10:00, from 10:50 to 11:45, from 12:40 to 14:10, from 14:25 to 15:00, anytime after 15:50\nWednesday: Free only at the following times: from 9:00 to 10:10, from 11:05 to 12:25, from 13:55 to 15:20, from 15:25 to 17:00\nThursday: Booked at the following times: from 9:55 to 11:15, from 12:35 to 13:10, from 13:20 to 14:30, from 14:55 to 15:25\nFriday: Booked at the following times: from 10:10 to 11:35, from 11:55 to 13:05, from 13:35 to 13:55\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 11:15 to 12:35, from 13:15 to 14:00, from 14:40 to 17:00\nTuesday: Free only at the following times: from 9:35 to 10:40, anytime after 11:35\nWednesday: Free only at the following times: anytime before 10:20, from 11:40 to 12:10, from 13:05 to 13:05, from 14:05 to 15:35, anytime after 16:05\nThursday: Free only at the following times: from 9:00 to 10:25, from 11:45 to 13:10, from 14:20 to 14:45, from 15:00 to 15:25, from 15:45 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:10, from 10:40 to 12:05, from 12:10 to 13:40, from 14:45 to 16:00, anytime after 16:25\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:05, from 9:55 to 10:20, from 11:20 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:10, from 9:20 to 9:50, from 11:05 to 12:35, from 13:55 to 14:40, from 15:30 to 17:00\nWednesday: Booked at the following times: from 10:20 to 11:40, from 13:00 to 14:05\nThursday: Free only at the following times: anytime before 10:25, from 11:05 to 11:05, from 12:30 to 12:30, from 12:50 to 13:25, anytime after 13:45\nFriday: Free only at the following times: anytime before 10:10, from 10:20 to 11:35, from 11:40 to 13:10, from 13:15 to 13:35, from 13:55 to 17:00\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:20, from 9:50 to 10:30, from 11:45 to 13:15, from 14:45 to 17:00\nTuesday: Booked at the following times: anytime before 10:05, from 11:15 to 11:20, from 11:35 to 12:25\nWednesday: Booked at the following times: from 10:00 to 10:45, from 11:10 to 12:25, from 12:55 to 13:55, from 15:25 to 16:25\nThursday: Free only at the following times: anytime before 9:05, from 10:15 to 11:05, from 12:15 to 13:05, from 14:15 to 17:00\nFriday: Booked at the following times: anytime before 10:10, from 10:25 to 10:45, from 12:10 to 12:15, from 13:40 to 13:55\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: anytime before 10:00, from 10:00 to 10:20, from 11:20 to 11:45, from 12:45 to 13:45\nTuesday: Free only at the following times: from 9:00 to 10:00, from 10:35 to 10:40, from 12:10 to 17:00\nWednesday: Free only at the following times: anytime before 10:20, from 10:50 to 11:30, anytime after 11:35\nThursday: Free only at the following times: from 9:00 to 9:35, from 10:50 to 11:25, from 12:05 to 12:20, from 13:45 to 14:00, anytime after 14:15\nFriday: Free only at the following times: anytime before 9:10, from 10:00 to 10:05, anytime after 11:20\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:15, from 10:35 to 11:55, anytime after 12:25\nTuesday: Free only at the following times: from 9:00 to 9:20, from 9:50 to 10:20, from 11:00 to 11:15, from 11:35 to 17:00\nWednesday: Booked at the following times: anytime before 9:05, from 9:10 to 10:10, from 11:15 to 11:35\nThursday: Free only at the following times: anytime before 10:25, from 10:30 to 10:45, anytime after 11:50\nFriday: Booked at the following times: from 9:20 to 10:00, from 10:40 to 12:00\n\n\nNancy is flexible to miss the last (at most) 10 minutes of the meeting\nEmma prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAva prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nMary asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nYolanda is in a timezone that is one hour ahead of other participants\nSarah can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:166", "request": "Mary, Nancy, Sophia and Yolanda work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:00, from 10:55 to 12:20, from 12:25 to 13:05, from 13:35 to 14:35, anytime after 14:50\nTuesday: Free only at the following times: from 9:00 to 10:15, from 10:25 to 11:30, from 11:40 to 13:05, from 13:15 to 17:00\nWednesday: Free only at the following times: from 10:25 to 11:55, from 12:00 to 17:00\nThursday: Free only at the following times: anytime before 10:05, from 10:35 to 11:00, from 12:05 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:20, from 11:00 to 11:10, from 12:15 to 12:45, from 13:40 to 13:55, from 15:25 to 17:00\n\n\nThe schedule for Nancy's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:40, from 12:10 to 13:15\nTuesday: Free only at the following times: anytime before 10:15, from 11:35 to 12:35, from 13:55 to 14:30, from 14:35 to 17:00\nWednesday: Booked at the following times: from 10:25 to 11:55, from 12:50 to 13:45, from 14:15 to 15:00, from 15:35 to 16:05\nThursday: Booked at the following times: from 9:45 to 10:10, from 11:10 to 12:10, from 12:50 to 13:25, from 13:50 to 15:20\nFriday: Booked at the following times: from 9:10 to 9:35, from 9:35 to 10:25, from 10:45 to 11:15\n\n\nThe schedule for Sophia's week in their local time is as follows:\nMonday: Booked at the following times: anytime before 10:00, from 10:25 to 11:50, from 12:50 to 14:10, anytime after 15:40\nTuesday: Free only at the following times: from 9:00 to 9:50, from 11:10 to 11:55, from 12:40 to 12:40, anytime after 13:30\nWednesday: Free only at the following times: from 9:00 to 9:10, from 9:25 to 9:50, from 10:10 to 11:10, from 12:25 to 17:00\nThursday: Booked at the following times: from 9:00 to 10:05, from 10:20 to 10:35, from 11:55 to 13:10\nFriday: Booked at the following times: from 9:25 to 9:35, from 10:30 to 11:20, from 11:25 to 12:15, from 13:25 to 14:40\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:35, from 10:50 to 10:55, from 12:00 to 17:00\nTuesday: Booked at the following times: from 10:00 to 10:20, from 10:45 to 11:45, from 11:55 to 12:10\nWednesday: Booked at the following times: from 10:30 to 11:30, from 11:40 to 13:00, from 14:30 to 15:00\nThursday: Free only at the following times: from 9:00 to 9:10, from 9:40 to 10:00, from 11:00 to 12:25, anytime after 13:45\nFriday: Booked at the following times: from 10:30 to 11:15, from 12:30 to 13:45, from 15:00 to 16:30, from 16:40 to 16:45\n\n\nMary can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nNancy prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nSophia asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nYolanda is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:168", "request": "Karen, Eve and Yolanda work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Karen's week in their local time is as follows:\nMonday: Booked at the following times: from 10:25 to 11:30, from 12:30 to 13:50\nTuesday: Free only at the following times: from 9:00 to 9:45, from 10:50 to 12:20, anytime after 12:30\nWednesday: Booked at the following times: from 10:00 to 11:00, from 12:00 to 13:15\nThursday: Free only at the following times: from 9:00 to 9:50, from 10:35 to 11:25, from 12:20 to 12:35, from 13:15 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:25, from 9:55 to 11:15, from 12:25 to 12:30, from 12:40 to 12:50, from 14:10 to 17:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 9:05 to 9:10, from 10:05 to 11:10, from 11:15 to 12:45, from 12:50 to 13:45\nTuesday: Booked at the following times: from 9:25 to 10:15, from 11:15 to 12:10, from 12:20 to 13:50\nWednesday: Free only at the following times: anytime before 9:55, from 10:50 to 11:00, from 11:10 to 11:45, from 12:25 to 13:00, anytime after 13:40\nThursday: Free only at the following times: anytime before 9:15, from 9:45 to 10:00, from 10:40 to 12:10, from 12:15 to 17:00\nFriday: Booked at the following times: from 10:10 to 10:30, from 11:15 to 12:30, from 14:00 to 15:15\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:55 to 10:20, from 10:20 to 11:00, from 11:20 to 11:30\nTuesday: Booked at the following times: from 10:30 to 10:35, from 10:50 to 12:15, from 12:40 to 13:40\nWednesday: Booked at the following times: from 9:45 to 10:00, from 10:45 to 11:05, from 12:20 to 12:35\nThursday: Free only at the following times: from 9:00 to 9:40, from 11:05 to 12:35, from 13:40 to 14:10, from 15:00 to 16:15, from 16:25 to 17:00\nFriday: Free only at the following times: anytime before 10:05, from 11:15 to 12:05, from 13:35 to 14:35, anytime after 15:10\n\n\nKaren is flexible to miss (at most) 10 minutes of the meeting\nEve asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nYolanda is flexible to miss the last (at most) 10 minutes of the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:170", "request": "Mary, Charlotte, Amelia, Emma, Zoey and Olivia work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:05 to 11:05, from 12:25 to 12:35, from 14:00 to 14:55\nTuesday: Free only at the following times: anytime before 9:15, from 9:30 to 9:40, from 10:15 to 17:00\nWednesday: Booked at the following times: from 10:15 to 11:30, from 12:15 to 12:25, from 13:15 to 14:25\nThursday: Free only at the following times: from 9:00 to 9:45, from 10:35 to 11:45, from 12:00 to 13:00, from 13:25 to 17:00\nFriday: Booked at the following times: from 10:30 to 11:15, from 12:10 to 13:25, from 14:40 to 15:20, from 16:50 to 16:55\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 9:50, from 11:00 to 11:10, from 11:25 to 12:40\nTuesday: Free only at the following times: from 9:00 to 9:30, from 10:45 to 11:45, from 13:00 to 13:50, from 13:55 to 14:05, from 15:15 to 17:00\nWednesday: Free only at the following times: anytime before 9:50, from 11:20 to 12:40, from 14:00 to 17:00\nThursday: Free only at the following times: anytime before 10:25, from 10:55 to 11:35, from 11:50 to 12:00, from 13:05 to 14:10, from 14:45 to 17:00\nFriday: Booked at the following times: from 10:30 to 11:50, from 13:15 to 13:45\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 11:35, from 12:45 to 13:15\nTuesday: Booked at the following times: from 9:15 to 9:20, from 10:30 to 10:35, from 11:20 to 12:25, from 13:20 to 13:45\nWednesday: Free only at the following times: anytime before 9:45, from 11:00 to 12:00, from 12:30 to 12:50, from 14:15 to 14:50, anytime after 15:20\nThursday: Booked at the following times: from 9:40 to 10:15, from 10:40 to 12:05\nFriday: Free only at the following times: from 9:00 to 9:35, from 9:40 to 11:00, from 11:40 to 11:50, from 13:00 to 14:05, from 15:25 to 17:00\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:05, from 10:15 to 10:50, from 11:00 to 11:40, from 11:55 to 13:05, from 13:30 to 17:00\nTuesday: Free only at the following times: from 9:00 to 10:00, from 11:30 to 13:00, from 13:15 to 17:00\nWednesday: Free only at the following times: anytime before 10:10, from 11:25 to 12:15, from 12:50 to 17:00\nThursday: Booked at the following times: from 10:20 to 11:15, from 12:05 to 12:40, from 13:20 to 13:50, from 14:25 to 14:45\nFriday: Booked at the following times: from 9:15 to 10:00, from 10:40 to 12:00\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:10, from 10:15 to 10:15, from 11:10 to 11:20, from 12:25 to 17:00\nTuesday: Booked at the following times: from 9:20 to 10:20, from 10:25 to 11:30\nWednesday: Booked at the following times: from 9:50 to 10:40, from 11:55 to 12:20\nThursday: Free only at the following times: from 9:00 to 10:20, from 10:25 to 11:20, from 12:20 to 13:10, from 13:25 to 14:20, anytime after 15:25\nFriday: Free only at the following times: anytime before 9:05, from 10:30 to 12:00, from 13:20 to 17:00\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 10:35, from 10:40 to 12:00\nTuesday: Booked at the following times: from 9:50 to 10:55, from 11:55 to 13:25, from 14:00 to 15:10\nWednesday: Free only at the following times: anytime before 9:15, from 10:40 to 11:00, from 11:15 to 11:50, from 12:15 to 13:00, anytime after 13:15\nThursday: Booked at the following times: from 10:05 to 11:05, from 11:05 to 11:25, from 12:30 to 12:35, from 12:35 to 13:25\nFriday: Free only at the following times: from 9:00 to 10:25, from 10:30 to 11:05, from 12:35 to 13:50, from 14:20 to 15:05, from 15:25 to 17:00\n\n\nMary asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nCharlotte prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nAmelia needs a break for lunch on Wednesday from 12:30 to 1:00\nEmma prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nZoey is flexible to miss the last (at most) 10 minutes of the meeting\nOlivia is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:171", "request": "Victoria, Lisa, Olivia, Isabella and Eve work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:10, from 11:35 to 12:00, from 12:25 to 12:40, anytime after 12:55\nTuesday: Free only at the following times: from 9:00 to 9:25, from 10:05 to 11:20, from 12:00 to 12:25, from 13:05 to 14:30, anytime after 15:15\nWednesday: Booked at the following times: from 9:30 to 10:50, from 11:20 to 11:30, from 11:50 to 12:30\nThursday: Booked at the following times: from 10:20 to 10:55, from 11:00 to 11:40\nFriday: Booked at the following times: from 9:50 to 10:25, from 11:25 to 12:35, from 12:50 to 13:25, from 14:15 to 15:30\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Booked at the following times: from 10:15 to 10:20, from 10:20 to 11:20, from 11:55 to 13:15, from 13:25 to 13:35\nTuesday: Free only at the following times: anytime before 9:40, from 10:55 to 12:15, anytime after 12:45\nWednesday: Booked at the following times: from 9:55 to 11:10, from 12:40 to 12:55, from 14:25 to 14:45\nThursday: Booked at the following times: from 10:00 to 10:35, from 10:45 to 12:05\nFriday: Booked at the following times: from 9:15 to 9:55, from 10:15 to 10:45, from 12:00 to 12:35, from 13:55 to 14:25\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:20 to 11:30, from 12:05 to 12:45\nTuesday: Booked at the following times: from 9:05 to 9:30, from 10:30 to 11:00, from 12:20 to 13:10, from 14:35 to 15:50\nWednesday: Free only at the following times: from 9:00 to 9:50, from 11:20 to 11:30, from 12:50 to 14:10, from 14:25 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:20, from 9:30 to 9:50, from 10:00 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:25, from 10:55 to 12:10, from 13:30 to 17:00\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:40, from 10:20 to 11:05, from 12:20 to 17:00\nTuesday: Free only at the following times: anytime before 9:05, from 9:55 to 11:15, from 11:40 to 12:25, from 12:50 to 17:00\nWednesday: Free only at the following times: from 9:00 to 10:05, from 10:15 to 11:35, from 12:55 to 13:45, anytime after 14:05\nThursday: Free only at the following times: anytime before 10:10, from 10:45 to 11:30, from 12:00 to 17:00\nFriday: Free only at the following times: from 9:00 to 10:10, from 11:00 to 11:25, from 12:05 to 13:30, from 14:45 to 17:00\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:05, from 10:30 to 11:15, from 12:45 to 13:20, from 13:25 to 14:45, anytime after 15:35\nTuesday: Free only at the following times: anytime before 9:15, from 9:20 to 10:20, from 10:35 to 11:35, anytime after 12:25\nWednesday: Free only at the following times: anytime before 10:05, from 11:35 to 11:35, from 12:10 to 12:20, anytime after 13:50\nThursday: Booked at the following times: from 9:45 to 9:55, from 9:55 to 10:40, from 11:55 to 12:05, from 13:35 to 14:30\nFriday: Free only at the following times: anytime before 10:20, from 11:20 to 11:20, from 12:25 to 12:55, from 13:40 to 13:50, anytime after 14:00\n\n\nVictoria prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLisa asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nOlivia is in a timezone that is one hour ahead of other participants\nIsabella is fine to stay until 6pm to accommodate the meeting\nEve prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:172", "request": "Eve, Victoria and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 11:10, from 12:35 to 12:55, from 13:45 to 14:40, from 16:10 to 16:25\nTuesday: Booked at the following times: from 10:10 to 10:50, from 12:15 to 13:05, from 14:20 to 14:30\nWednesday: Free only at the following times: anytime before 9:25, from 10:15 to 11:30, anytime after 12:15\nThursday: Booked at the following times: from 10:25 to 11:50, from 12:45 to 13:15, from 13:20 to 14:30, from 15:50 to 16:45\nFriday: Free only at the following times: from 9:00 to 10:20, from 10:55 to 12:10, anytime after 13:10\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:25, from 11:55 to 13:00, from 14:25 to 17:00\nTuesday: Booked at the following times: from 10:05 to 11:10, from 11:25 to 12:25\nWednesday: Free only at the following times: from 9:00 to 9:25, from 10:45 to 11:20, from 12:35 to 13:15, from 14:45 to 14:50, from 15:00 to 17:00\nThursday: Booked at the following times: from 9:20 to 10:35, from 11:05 to 11:45, from 13:10 to 14:15\nFriday: Booked at the following times: from 10:15 to 11:10, from 11:50 to 11:55\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:15, from 10:30 to 11:55, anytime after 13:25\nTuesday: Free only at the following times: from 9:25 to 10:40, from 11:40 to 12:20, from 12:40 to 14:10, anytime after 15:35\nWednesday: Booked at the following times: from 10:25 to 10:55, from 11:15 to 11:20, from 12:50 to 13:15, from 14:25 to 15:20\nThursday: Booked at the following times: from 9:15 to 10:25, from 11:20 to 12:05\nFriday: Booked at the following times: from 10:15 to 11:05, from 12:30 to 13:15, from 13:40 to 15:10\n\n\nEve prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nVictoria is fine to stay until 6pm to accommodate the meeting\nCharlotte asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:173", "request": "Zoey, Rachel, Olivia and Yolanda work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: from 9:15 to 9:50, from 9:55 to 10:30, from 10:40 to 17:00\nTuesday: Free only at the following times: anytime before 9:35, from 10:25 to 11:15, from 12:15 to 12:50, from 13:35 to 14:45, anytime after 15:00\nWednesday: Free only at the following times: from 9:00 to 9:40, from 10:05 to 11:30, from 12:50 to 13:35, anytime after 14:05\nThursday: Free only at the following times: from 10:20 to 10:25, from 11:10 to 11:25, from 12:25 to 17:00\nFriday: Booked at the following times: from 9:25 to 9:30, from 9:45 to 10:00\n\n\nThe schedule for Rachel's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 9:55, from 10:40 to 11:20, from 11:45 to 12:55, from 13:30 to 14:40\nTuesday: Booked at the following times: from 9:15 to 9:35, from 10:50 to 11:15, from 11:50 to 12:20\nWednesday: Booked at the following times: from 9:55 to 11:05, from 11:20 to 12:40\nThursday: Free only at the following times: anytime before 10:20, from 11:00 to 11:40, anytime after 11:45\nFriday: Booked at the following times: from 9:50 to 11:10, from 11:20 to 12:25\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 9:30 to 10:20, from 11:15 to 12:25\nTuesday: Free only at the following times: anytime before 9:50, from 11:20 to 12:00, from 12:30 to 13:15, from 14:15 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:50, from 10:20 to 11:50, from 13:15 to 13:25, from 13:50 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:35, from 11:05 to 11:55, from 12:40 to 13:15, from 14:15 to 14:25, anytime after 15:05\nFriday: Booked at the following times: from 10:05 to 10:55, from 12:15 to 13:40\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 10:40, from 12:00 to 12:45, from 13:55 to 14:25\nTuesday: Booked at the following times: from 10:30 to 11:15, from 12:40 to 13:55, from 14:45 to 14:50, from 15:30 to 15:55\nWednesday: Free only at the following times: anytime before 10:30, from 11:55 to 12:40, from 14:10 to 15:10, anytime after 16:20\nThursday: Free only at the following times: from 9:00 to 9:50, from 10:00 to 10:55, anytime after 12:15\nFriday: Free only at the following times: from 9:00 to 10:15, from 10:55 to 11:40, anytime after 13:05\n\n\nZoey is in a timezone that is one hour ahead of other participants\nRachel is flexible to miss the last (at most) 10 minutes of the meeting\nOlivia is fine to stay until 6pm to accommodate the meeting\nYolanda needs a break for lunch on Wednesday from 12:30 to 1:00\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:175", "request": "Sarah, Emma, Ava, Isabella, Amelia and Eve work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 11:20, from 12:45 to 13:35, from 14:05 to 14:55\nTuesday: Booked at the following times: from 9:45 to 10:20, from 11:40 to 12:00, from 13:05 to 13:10\nWednesday: Free only at the following times: from 9:00 to 10:30, from 10:55 to 11:00, from 11:55 to 13:10, from 13:25 to 14:25, anytime after 14:55\nThursday: Free only at the following times: from 9:00 to 9:20, from 10:30 to 10:40, from 11:05 to 11:30, from 12:40 to 13:15, anytime after 14:00\nFriday: Booked at the following times: from 10:30 to 10:50, from 11:25 to 12:50, from 13:50 to 14:35\n\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:50 to 10:35, from 11:05 to 12:10, from 12:45 to 13:50\nTuesday: Booked at the following times: anytime before 9:15, from 10:05 to 11:20\nWednesday: Free only at the following times: from 9:00 to 9:35, from 10:10 to 11:30, from 12:50 to 13:25, from 13:40 to 17:00\nThursday: Free only at the following times: from 9:25 to 10:30, anytime after 11:25\nFriday: Free only at the following times: from 9:00 to 9:45, from 10:35 to 10:55, anytime after 12:25\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 11:35, from 12:45 to 12:50, from 13:25 to 14:25\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:05 to 10:50, from 11:25 to 12:05, anytime after 13:25\nWednesday: Free only at the following times: from 9:40 to 10:15, from 10:55 to 17:00\nThursday: Booked at the following times: from 9:55 to 10:20, from 11:30 to 11:40, from 11:55 to 12:55\nFriday: Free only at the following times: anytime before 9:25, from 9:35 to 9:40, from 10:30 to 11:30, from 11:45 to 13:15, from 13:35 to 17:00\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 10:15, from 11:45 to 13:10, from 14:15 to 15:05\nTuesday: Free only at the following times: from 10:25 to 10:55, from 12:05 to 12:40, from 13:25 to 17:00\nWednesday: Booked at the following times: from 9:35 to 10:15, from 10:30 to 10:45\nThursday: Booked at the following times: from 10:25 to 11:30, from 11:50 to 12:50\nFriday: Free only at the following times: from 9:00 to 10:30, from 10:35 to 11:55, anytime after 12:30\n\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:15, from 12:25 to 13:30, from 13:55 to 14:00, from 15:20 to 16:25\nTuesday: Free only at the following times: from 9:00 to 9:50, from 10:15 to 10:50, from 12:10 to 12:40, from 12:45 to 13:00, anytime after 14:15\nWednesday: Free only at the following times: from 9:00 to 10:20, from 10:55 to 11:10, from 12:25 to 12:35, anytime after 12:50\nThursday: Free only at the following times: from 9:00 to 9:35, from 10:00 to 10:50, from 10:55 to 12:00, anytime after 13:00\nFriday: Booked at the following times: from 9:20 to 10:40, from 11:40 to 12:35, from 13:55 to 14:55, from 16:05 to 16:40\n\n\nThe schedule for Eve's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:35, from 10:55 to 11:35, from 11:40 to 17:00\nTuesday: Booked at the following times: from 9:50 to 10:35, from 11:55 to 13:25, from 13:25 to 14:25, from 15:35 to 15:45\nWednesday: Booked at the following times: from 9:30 to 10:05, from 11:35 to 13:05, from 13:45 to 14:25\nThursday: Booked at the following times: from 10:00 to 11:25, from 12:55 to 14:00, from 15:15 to 16:00, from 16:30 to 16:55\nFriday: Booked at the following times: from 9:15 to 9:20, from 10:35 to 11:10\n\n\nSarah asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nEmma asks the meeting to be scheduled such that she has at least 10 minutes of free time before the meeting (the free time must fall within her 9am to 5pm)\nAva prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nIsabella feels tired late in the day and requires the meeting to end before 4pm\nAmelia needs a break for lunch on Wednesday from 12:30 to 1:00\nEve is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:178", "request": "Victoria, Claire, Lisa, Zoey and Mary work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 11:35, from 11:55 to 12:45, from 13:05 to 14:25\nTuesday: Booked at the following times: from 10:20 to 10:45, from 10:45 to 11:30, from 11:50 to 12:00, from 13:15 to 13:45\nWednesday: Free only at the following times: anytime before 10:00, from 10:40 to 10:50, from 11:35 to 12:55, anytime after 13:20\nThursday: Free only at the following times: anytime before 9:20, from 9:30 to 10:45, from 11:25 to 12:10, from 13:25 to 13:30, from 14:40 to 17:00\nFriday: Booked at the following times: from 9:30 to 11:00, from 12:05 to 13:05, from 13:25 to 14:05, from 14:30 to 15:10\n\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 9:20 to 10:40, from 11:00 to 11:25, from 11:35 to 12:50, from 13:00 to 14:25\nTuesday: Booked at the following times: from 9:20 to 9:40, from 10:40 to 11:15, from 12:10 to 13:25, from 13:50 to 14:30\nWednesday: Free only at the following times: anytime before 10:00, from 10:50 to 12:20, anytime after 13:15\nThursday: Free only at the following times: from 10:15 to 11:10, anytime after 11:15\nFriday: Free only at the following times: anytime before 9:25, from 10:35 to 12:00, anytime after 13:30\n\n\nThe schedule for Lisa's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:40, from 10:05 to 10:40, anytime after 10:45\nTuesday: Free only at the following times: anytime before 9:05, from 9:15 to 9:35, anytime after 10:25\nWednesday: Free only at the following times: from 9:00 to 10:00, from 10:30 to 11:40, from 12:35 to 12:55, from 14:05 to 14:40, from 15:15 to 17:00\nThursday: Free only at the following times: anytime before 9:05, from 9:45 to 10:55, from 11:25 to 12:55, from 14:25 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:35, from 11:00 to 11:40, anytime after 12:00\n\n\nThe schedule for Zoey's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:25, from 10:20 to 11:00, from 11:15 to 17:00\nTuesday: Booked at the following times: from 9:00 to 10:20, from 11:05 to 12:35\nWednesday: Booked at the following times: from 9:50 to 11:15, from 11:20 to 12:50, from 14:20 to 15:05\nThursday: Free only at the following times: from 9:00 to 10:05, from 10:25 to 11:10, from 12:00 to 12:00, anytime after 12:20\nFriday: Booked at the following times: from 9:40 to 11:05, from 11:45 to 12:40\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 9:45, from 10:55 to 11:40, from 12:45 to 14:15\nTuesday: Free only at the following times: from 9:00 to 9:40, from 9:50 to 10:10, from 10:15 to 17:00\nWednesday: Free only at the following times: anytime before 9:05, from 9:30 to 10:05, from 10:10 to 17:00\nThursday: Free only at the following times: from 9:00 to 9:30, from 10:05 to 10:30, from 11:30 to 12:35, from 13:40 to 14:40, from 16:10 to 17:00\nFriday: Booked at the following times: from 9:55 to 10:35, from 11:55 to 13:20, from 14:40 to 15:40\n\n\nVictoria is flexible to miss the last (at most) 10 minutes of the meeting\nClaire asks the meeting to be scheduled such that she has at least 10 minutes of free time after the meeting (the free time must fall within her 9am to 5pm)\nLisa can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nZoey feels tired late in the day and requires the meeting to end before 4pm\nMary is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:183", "request": "Claire, Ava, Isabella, Mary and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Claire's week in their local time is as follows:\nMonday: Booked at the following times: from 9:10 to 9:25, from 10:20 to 11:00, from 12:10 to 12:50, from 14:00 to 15:05\nTuesday: Free only at the following times: from 9:00 to 10:20, from 11:40 to 12:25, from 13:10 to 13:15, anytime after 13:35\nWednesday: Free only at the following times: anytime before 9:20, from 10:20 to 11:40, from 12:50 to 14:15, from 14:45 to 16:15, anytime after 16:35\nThursday: Booked at the following times: from 9:20 to 10:20, from 10:25 to 11:05\nFriday: Free only at the following times: from 9:00 to 10:10, from 11:35 to 12:55, from 13:55 to 17:00\n\n\nThe schedule for Ava's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:50, from 10:55 to 11:35, from 12:50 to 12:55, from 13:00 to 13:15, anytime after 13:55\nTuesday: Free only at the following times: anytime before 10:10, from 11:20 to 11:45, from 13:10 to 13:50, anytime after 14:50\nWednesday: Booked at the following times: from 9:15 to 10:20, from 10:30 to 10:55, from 11:30 to 13:00, from 13:30 to 13:35\nThursday: Free only at the following times: anytime before 9:10, from 9:50 to 9:55, from 10:00 to 10:05, from 10:50 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:55, from 10:05 to 10:35, from 11:05 to 11:30, anytime after 11:50\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Booked at the following times: from 10:30 to 10:35, from 11:20 to 12:50, from 13:00 to 13:40, from 14:15 to 15:20\nTuesday: Free only at the following times: from 9:00 to 10:30, from 11:25 to 11:40, anytime after 12:35\nWednesday: Free only at the following times: anytime before 9:35, from 10:55 to 11:15, from 12:45 to 17:00\nThursday: Booked at the following times: from 9:45 to 10:10, from 11:35 to 12:55, from 13:35 to 14:40, from 15:40 to 16:50\nFriday: Free only at the following times: from 9:00 to 9:35, from 10:05 to 10:20, from 11:35 to 12:10, anytime after 13:35\n\n\nThe schedule for Mary's week in their local time is as follows:\nMonday: Booked at the following times: from 10:10 to 10:50, from 11:55 to 12:50\nTuesday: Free only at the following times: anytime before 9:35, from 11:00 to 11:55, from 12:50 to 13:30, from 14:35 to 14:50, anytime after 14:55\nWednesday: Free only at the following times: anytime before 10:25, from 11:15 to 11:40, from 11:45 to 17:00\nThursday: Booked at the following times: from 10:30 to 12:00, from 12:00 to 13:00, from 13:55 to 14:30\nFriday: Booked at the following times: from 9:20 to 9:35, from 11:00 to 11:20\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:35, from 10:20 to 10:25, from 11:30 to 17:00\nTuesday: Booked at the following times: from 10:00 to 10:40, from 12:00 to 13:30, from 14:15 to 15:10\nWednesday: Free only at the following times: anytime before 9:05, from 9:55 to 10:45, anytime after 12:15\nThursday: Free only at the following times: from 9:00 to 9:40, from 10:30 to 10:30, from 11:15 to 12:15, from 13:45 to 17:00\nFriday: Booked at the following times: from 9:20 to 9:40, from 9:50 to 11:10, from 11:35 to 12:10\n\n\nClaire is flexible to miss (at most) 10 minutes of the meeting\nAva can clear their morning schedule from 9:00 to 9:45 (if blocked) everyday if needed\nIsabella is flexible to miss the last (at most) 10 minutes of the meeting\nMary is in a timezone that is one hour ahead of other participants\nSarah prefers short meetings on Mondays and Thursdays and accepts new meetings on these two days only if they are at most 1 hour long\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:185", "request": "Emma, Olivia and Charlotte work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Emma's week in their local time is as follows:\nMonday: Booked at the following times: from 9:40 to 10:05, from 11:25 to 12:25, from 12:50 to 14:10\nTuesday: Booked at the following times: from 9:30 to 10:10, from 11:15 to 11:55, from 13:15 to 13:50, from 15:05 to 15:50\nWednesday: Booked at the following times: from 9:30 to 9:55, from 11:10 to 11:15\nThursday: Booked at the following times: from 10:20 to 11:05, from 12:10 to 12:35\nFriday: Free only at the following times: from 9:00 to 9:15, from 9:35 to 10:20, from 11:15 to 11:40, from 11:50 to 12:55, anytime after 13:50\n\n\nThe schedule for Olivia's week in their local time is as follows:\nMonday: Booked at the following times: from 10:00 to 11:30, from 12:55 to 14:15, from 15:10 to 15:25, from 16:00 to 16:30\nTuesday: Free only at the following times: from 9:00 to 10:15, from 10:20 to 10:55, from 11:05 to 11:35, anytime after 11:45\nWednesday: Free only at the following times: from 9:00 to 9:45, from 9:55 to 11:05, from 11:55 to 12:40, from 13:00 to 17:00\nThursday: Booked at the following times: from 9:50 to 11:05, from 11:30 to 12:50\nFriday: Booked at the following times: from 9:40 to 10:10, from 11:25 to 12:30, from 13:45 to 14:05\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:25, from 10:40 to 11:20, from 11:25 to 11:40, from 12:05 to 12:20, anytime after 13:15\nTuesday: Booked at the following times: from 9:15 to 9:25, from 10:35 to 10:45, from 12:05 to 13:25, from 14:10 to 14:20\nWednesday: Free only at the following times: anytime before 9:35, from 9:50 to 10:30, from 11:50 to 12:35, from 13:15 to 14:25, from 15:15 to 17:00\nThursday: Free only at the following times: anytime before 9:05, from 9:15 to 10:25, from 10:50 to 12:20, from 13:10 to 13:30, from 13:35 to 17:00\nFriday: Free only at the following times: from 9:00 to 9:55, from 10:40 to 10:45, from 11:55 to 12:15, anytime after 13:00\n\n\nEmma feels tired late in the day and requires the meeting to end before 4pm\nOlivia is flexible to miss the last (at most) 10 minutes of the meeting\nCharlotte is in a timezone that is one hour ahead of other participants\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:191", "request": "Isabella, Charlotte and Victoria work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 10:30, from 11:10 to 11:50, anytime after 12:50\nTuesday: Booked at the following times: from 9:15 to 10:35, from 12:00 to 12:15, from 13:25 to 14:25, from 14:30 to 15:35\nWednesday: Booked at the following times: from 9:05 to 9:35, from 11:00 to 12:30\nThursday: Booked at the following times: from 10:10 to 10:50, from 11:50 to 12:55\nFriday: Free only at the following times: anytime before 10:10, from 10:25 to 11:40, from 12:25 to 12:40, from 13:05 to 14:35, anytime after 15:30\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 10:20, from 10:40 to 11:45, from 12:45 to 13:25, from 14:00 to 17:00\nTuesday: Free only at the following times: anytime before 9:30, from 10:30 to 12:00, from 13:15 to 17:00\nWednesday: Free only at the following times: from 9:00 to 9:15, from 10:05 to 10:40, from 10:55 to 11:00, from 11:05 to 17:00\nThursday: Booked at the following times: from 9:55 to 11:20, from 12:45 to 13:40, from 13:50 to 15:00, from 15:10 to 16:40\nFriday: Booked at the following times: from 9:15 to 10:45, from 11:30 to 12:55, from 13:10 to 13:40\n\n\nThe schedule for Victoria's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:45, from 9:50 to 11:20, from 12:35 to 12:45, from 12:50 to 17:00\nTuesday: Free only at the following times: from 9:00 to 9:45, from 10:15 to 11:45, from 12:00 to 17:00\nWednesday: Free only at the following times: anytime before 9:50, from 10:35 to 10:35, from 11:20 to 12:25, from 13:20 to 17:00\nThursday: Free only at the following times: from 9:00 to 10:20, from 11:00 to 11:40, from 13:05 to 14:25, from 15:50 to 15:50, anytime after 16:20\nFriday: Free only at the following times: anytime before 9:05, from 9:35 to 9:55, from 11:05 to 12:25, from 13:00 to 13:40, anytime after 13:55\n\n\nIsabella can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nCharlotte prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nVictoria is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:temporal_sequence:194", "request": "Amelia, Charlotte, Isabella, Yolanda and Sarah work from 9 to 5 their local time on weekdays. They want to have a meeting some time this week.\n\nThe schedule for Amelia's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:55, from 10:25 to 11:35, from 12:30 to 12:35, from 12:55 to 13:55, from 14:25 to 17:00\nTuesday: Booked at the following times: from 9:40 to 10:30, from 11:40 to 12:00, from 13:05 to 13:15, from 14:05 to 15:00\nWednesday: Free only at the following times: from 9:00 to 10:05, from 11:25 to 12:45, from 14:05 to 14:45, anytime after 14:50\nThursday: Booked at the following times: from 9:10 to 10:30, from 10:55 to 11:50, from 12:30 to 12:40\nFriday: Free only at the following times: anytime before 9:55, from 10:10 to 10:30, from 10:50 to 12:00, anytime after 13:15\n\n\nThe schedule for Charlotte's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:40, from 11:10 to 11:25, from 12:00 to 13:30, from 14:25 to 17:00\nTuesday: Booked at the following times: from 9:05 to 9:50, from 11:05 to 12:00\nWednesday: Free only at the following times: anytime before 9:50, from 11:20 to 11:35, from 12:35 to 12:55, from 14:00 to 14:10, from 14:30 to 17:00\nThursday: Booked at the following times: from 9:30 to 10:30, from 11:10 to 11:20, from 11:25 to 12:10, from 13:25 to 14:15\nFriday: Booked at the following times: from 10:30 to 11:00, from 11:00 to 11:25, from 12:45 to 14:15, from 15:05 to 16:00\n\n\nThe schedule for Isabella's week in their local time is as follows:\nMonday: Free only at the following times: from 9:00 to 9:30, from 9:50 to 10:05, anytime after 11:35\nTuesday: Booked at the following times: from 9:15 to 9:35, from 9:40 to 9:55, from 10:50 to 11:35\nWednesday: Free only at the following times: anytime before 9:25, from 10:30 to 11:45, from 12:20 to 12:30, from 12:40 to 12:45, from 12:55 to 17:00\nThursday: Booked at the following times: from 9:20 to 10:10, from 10:45 to 12:15\nFriday: Booked at the following times: from 9:40 to 11:10, from 12:15 to 12:40, from 12:50 to 13:20, from 14:30 to 15:45\n\n\nThe schedule for Yolanda's week in their local time is as follows:\nMonday: Booked at the following times: from 9:35 to 10:20, from 11:20 to 11:55\nTuesday: Free only at the following times: from 9:00 to 9:55, from 10:15 to 10:55, from 12:20 to 12:50, from 14:20 to 15:45, from 16:00 to 17:00\nWednesday: Booked at the following times: from 9:25 to 10:40, from 11:30 to 12:10, from 13:20 to 13:50\nThursday: Booked at the following times: from 9:30 to 10:00, from 11:10 to 11:25, from 12:50 to 13:30\nFriday: Booked at the following times: from 9:50 to 10:25, from 11:05 to 12:05, from 13:00 to 14:30\n\n\nThe schedule for Sarah's week in their local time is as follows:\nMonday: Free only at the following times: anytime before 9:40, from 10:55 to 12:15, from 13:00 to 13:55, from 14:05 to 14:55, anytime after 16:05\nTuesday: Booked at the following times: from 9:05 to 9:50, from 10:25 to 11:45\nWednesday: Booked at the following times: from 9:00 to 9:20, from 9:55 to 11:10\nThursday: Booked at the following times: from 9:55 to 10:45, from 11:05 to 11:35, from 12:40 to 13:35\nFriday: Free only at the following times: from 9:00 to 9:40, from 10:40 to 11:10, from 12:25 to 12:25, from 12:50 to 13:00, from 13:10 to 17:00\n\n\nAmelia is in a timezone that is one hour ahead of other participants\nCharlotte prefers long meetings on Tuesdays and Fridays and accepts new meetings on these two days only if they are at least 30 minutes long\nIsabella can clear any meeting of 30 minutes or less from their schedule to accommodate the meeting\nYolanda feels tired late in the day and requires the meeting to end before 4pm\nSarah is fine to stay until 6pm to accommodate the meeting\nLet X be the length of the longest meeting (in minutes) that can be scheduled if the meeting has to start on the hour or half hour. Also, let Y be number of possible options of such meetings. Compute X and Y and report them separated by a comma (e.g., 45, 3). If X is 0, report 0, 0.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:000", "request": "Let the answer to Question1 be X.\n\nQuestion1: The birthdate of Camila is 1999-May-19. Today is 2002-Apr-22. Compute the age of Camila in days. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Theodore was born on 2013-02-25. Compute his age in days on 2019-02-21. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Joe was born on 2008-12-07. Compute his age in days on 2010-04-20. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X + 860, Y' = Y - 2183, and Z' = Z - 471.\n\nUse these values to solve Question4.\n\nQuestion4: Joe, Kyle, Jason, Lily, Emma have their exams at the following date/times( separated by ;): on April 23, 1865 at 16:36:30 (24hr); on 23 April, 1865 at 11 PM; on 04-19-1890; in July 2014; and on 14 Jul, 2014 at 01 PM respectively. Find the persons whose exams are strictly after the cut off date/time of X'-Y'-Z' 16:01:51 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:001", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: The average time taken to clean a car is 57 minutes and 34 seconds. Calculate the time taken to clean 18 cars at the same rate. Your answer should be the value of X, Y, and Z, respectively (for example, 2, 5, 10).\n\nLet X' = X - 15, Y' = Y - 16, and Z' = Z - 2.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: It took runner1 X':Y':Z', runner2 2:10:40, and runner3 0:50:10 hours:minutes:seconds to finish the race. If on average, it took the three runners H:M:S to finish the rance, report the values of H, M and S. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 1990, R' = R - 38, and Q' = Q + 16.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 6 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:004", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Zoe has created a robot to do her tasks. It takes the robot 1 hour, 43 minutes, and 32 seconds to run 1 mile, on average. If the robot is tasked to run 9 miles, it will take it A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet X' = X + 8, Y' = Y + 16, and Z' = Z - 37.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmy's homework ended at X':Y':Z' (24hr). How much time passed during his work session if he srarted at 00:28:09 (24hr)? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 1976, R' = R - 17, and Q' = Q + 28.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 2 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:005", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: A construction project was due to be completed on May 23, 2024, but has run into difficulties. It has been granted a 14 months extension. What's the new completion date? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 13.\n\nLet the answer to Question2 be P.\n\nQuestion2: If today is Saturday, what day of the week was it X' days before now? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 2 and let P' be the day of the week 25 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: If today is P', what day of the week is it Y' days from now? Your answer should be the day of the week.\n\nLet Z' = Z - 1989 and let Q' be the day of the week 51 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On a Q' before noon, Fred started studying and studied Z' hours non-stop. What day(s) of the week could it be when Fred finished studying? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:006", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: The average time taken to carry one box is 43 minutes and 39 seconds. Calculate the time taken to carry 5 boxes at the same rate. Your answer should be the value of X, Y, and Z, respectively (for example, 2, 5, 10).\n\nLet X' = X - 1, Y' = Y - 8, and Z' = Z + 25.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Three students measured the time it took them to complete an assignment. It took the first student X':Y':Z', the second student 1:40:40, and the third 0:55:55 hours:minutes:seconds to finish their assignment. They want to compute the average time H:M:S. Help them by computing H, M and S and reporting. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 1979, R' = R - 31, and Q' = Q + 6.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 10 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:008", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: If Jimmy started his homework at 12:17:53 PM and finished at 04:12:31 AM, how long did he take to do his homework? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet X' = X - 12, Y' = Y - 27, and Z' = Z + 8.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Alice has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to practice a song, on average. Alice wants the robot to practice 10 songs. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1978, R' = R - 28, and Q' = Q - 9.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 4 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:010", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: My last phone calls took 1:40:10, 1:55:00, 0:30:00 and 2:55:10 hours:minutes:seconds each. On average, how long did a phone call take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X + 8, Y' = Y + 8, and Z' = Z - 0.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmys's homework time began at X':Y':Z' AM and wrapped up at 04:12:09 AM. How much time passed during his work session? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 1988, R' = R - 13, and Q' = Q + 9.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 5 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:011", "request": "Let the answer to Question1 be X.\n\nQuestion1: If the current date is 2004-09-15 and I was born on 2001-04-23, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 1997-11-29 (yyyy-mm-dd format) and I was born on 1994-08-29. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Hannah was born on 2003-Mar-26 and John was born on 2004-Sep-26. John is M months younger than Hannah. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 1237, Y' = Y - 5, and Z' = Z + 7.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Bob did. He was commuting at 11:38 PM. He also did some socializing and sleeping at X':Y':Z' AM and 02 AM respectively. He was also meditating at 11:00 (24hr) and reading at 19:09:28 (24hr). Arrange the activities Bob did in descending order. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:012", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: William clean 2 cars in 4 hours, 52 minutes, and 58 seconds. What is the time taken by them to clean 5 cars, at the same pace. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X + 9, Y' = Y + 13, and Z' = Z - 10.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: If Jimmy started his homework at X':Y':Z' (24hr) and finished at 19:57:11 (24hr), how long did he take to do his homework? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 1988, R' = R - 22, and Q' = Q - 24.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 4 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:013", "request": "Let the answer to Question1 be X.\n\nQuestion1: Sophia was born on 2020-Jun-28 and Jack was born on 2022-Sep-28. Jack is M months younger than Sophia. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Camila was born on 1999-Apr-04 and Samuel was born on 2007-Mar-22. How many days is Camila older than Samuel? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 11 and Y' = Y - 2894.\n\nUse these values to solve Question3.\n\nQuestion3: A museum announced that every X' days, there will be a day of free entrance. The first free day was on March Y', 2020. If today is August Y', 2020, when is the next free day? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:014", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 29 Apr, 2003, what is the date 35 years from now? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X + 14.\n\nLet the answer to Question2 be P.\n\nQuestion2: Today is Sunday and my parents arrive in X' days. On what day of the week do my parents arrive? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 4 and let P' be the day of the week 41 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: If today is P', what day of the week is it Y' days from now? Your answer should be the day of the week.\n\nLet Z' = Z - 2003 and let Q' be the day of the week 24 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On a Q' before noon, Fred started studying and studied Z' hours non-stop. What day(s) of the week could it be when Fred finished studying? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:015", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: The package was delivered on 18-10-1998. It takes 19 months for the package to deliver. When was the package sent? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 31.\n\nLet the answer to Question2 be P.\n\nQuestion2: Today is Thursday and my parents arrive in X' days. On what day of the week do my parents arrive? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 6 and let P' be the day of the week 25 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the package was out for delivery Y' days ago. On what day of the week was the package out for delivery? Your answer should be the day of the week.\n\nLet Z' = Z - 1970 and let Q' be the day of the week 21 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:016", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: The match was moved forward by 86 weeks. If the original date for the match was March 31, 2001, when will the match take place? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 3.\n\nLet the answer to Question2 be P.\n\nQuestion2: Today is Thursday and my parents arrived X' days ago. On what day of the week did my parents arrive? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 19 and let P' be the day of the week 67 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: Today is P' and my parents arrive in Y' days. On what day of the week do my parents arrive? Your answer should be the day of the week.\n\nLet Z' = Z - 1991 and let Q' be the day of the week 61 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:017", "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 2009-09-22 and I was born on 2008-10-22. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Elizabeth was born on 1997-Sep-20 and Mason was born on 1998-Apr-20. Mason is M months younger than Elizabeth. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Bob was born on 1995-07-25. Compute his age in days on 1999-03-19. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 5, Y' = Y + 23, and Z' = Z - 1316.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Alex did. He was traveling on Jun 25, 1829. He also did some camping and fishing in October 2022 and on 15 Mar, 2071 respectively. He was also hunting in September 1782 and gardening on 20 November, 1839 at X':Y':Z' (24hr). Arrange the activities Alex did in descending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:021", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 13-09-1998, what is the date 22 months from now? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 10.\n\nLet the answer to Question2 be P.\n\nQuestion2: If today is Saturday, what day of the week was it X' days before now? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 12 and let P' be the day of the week 44 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: Today is P' and my parents arrived Y' days ago. On what day of the week did my parents arrive? Your answer should be the day of the week.\n\nLet Z' = Z - 1985 and let Q' be the day of the week 31 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:023", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: What is the day 768 days from now in the yyyy-mm-dd format if the day after yesterday is 2017-Jul-21? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 2003, Y' = Y + 11, and Z' = Z - 21.\n\nUse these values to solve Question2.\n\nQuestion2: James lives in Location A (UTC +0000) and is going to call Bob in Location B at X':Y':Z' (24hr), A's time. What time is it for Bob in location B, who lives in IST (+0530), in their local time? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:027", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: It takes Hannah an average of 13 minutes and 46 seconds to study 2 pages. If she wants to study 16 pages at the same rate, it will take her A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 2, 5, 10).\n\nLet X' = X + 2, Y' = Y + 9, and Z' = Z + 41.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Alice has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to respond to an email, on average. Alice wants the robot to respond to 7 emails. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1974, R' = R - 56, and Q' = Q - 12.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 6 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:034", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Lucas declutter 2 drawers in 3 hours, 19 minutes, and 18 seconds. What is the time taken by them to declutter 14 drawers, at the same pace. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X - 8, Y' = Y - 1, and Z' = Z + 2.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmy's homework ended at X':Y':Z' (24hr). How much time passed during his work session if he srarted at 00:41:56 (24hr)? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 2007, R' = R - 28, and Q' = Q + 19.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 7 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:035", "request": "Let the answer to Question1 be X.\n\nQuestion1: The birthdate of Sarah is 2019-Mar-23. Today is 2020-Aug-16. Compute the age of Sarah in days. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: The war had been going on for 747 days on 2006-10-30. How many days had it been going on for on 2007-01-01, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Abigail and Jack were born on 2023-Dec-30 and 2024-Jun-29 respectively. When Jack was 202 days old, how old was Abigail in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 507, Y' = Y - 784, and Z' = Z + 1634.\n\nUse these values to solve Question4.\n\nQuestion4: If Joe, Lily, Jenny, Jason, Dan have their exams at (date_times separated by ;): on 21 Oct, 1930 at 18:17 (24hr); on Dec 27, 1873 at 08:28 AM; on 18 February, 1786; on X'-Y'-Z' at 09 AM; on 27-12-1873 at 02:38 PM respectively, arrange them in ascending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:037", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for the day before tomorrow in yyyy-mm-dd format is 2002-12-03, what is the date 80 days from now in the same format? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 1995, Y' = Y + 4, and Z' = Z - 21.\n\nUse these values to solve Question2.\n\nQuestion2: Flight departs location A at X':Y':Z' AM UTC(+0000). It reaches location B at 20:01 (24hr) EST(-0500). What is the total time duration taken to fly? Your answer should be the number of days, hours, minutes, and seconds, respectively, without the units (for example, 3, 32, 46, 38).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:038", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 07-15-2022, what is the date 61 weeks before now? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 19.\n\nLet the answer to Question2 be P.\n\nQuestion2: If today is Wednesday, what day of the week was it X' days before now? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 4 and let P' be the day of the week 69 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the deadline is in Y' days. On what day of the week is the deadline? Your answer should be the day of the week.\n\nLet Z' = Z - 1999 and let Q' be the day of the week 23 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:040", "request": "Let the answer to Question1 be X.\n\nQuestion1: Theodore was born on 2012-08-13. Compute his age in days on 2013-06-19. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2005-12-14 and I was born on 2005-06-14. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 300 and Y' = Y + 24.\n\nUse these values to solve Question3.\n\nQuestion3: A company pays their employees every X' days. Benjamin received his first paycheck on November Y', 2022. If today is May 12, 2023, when will he receive his next paycheck? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:042", "request": "Let the answer to Question1 be X.\n\nQuestion1: Rachel and Oliver were born on 2003-Feb-16 and 2003-Oct-24 respectively. When Oliver was 505 days old, how old was Rachel in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: In a movie, a company was established in 25 Aug, 2008. In what year will they celebrate their 39 anniversary? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a movie, the tower took exactly 36 years to construct. They started construction in 23 Oct, 2010. What year was the tower ready in? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X - 742, Y' = Y - 2044, and Z' = Z + 29.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities David did. He was studying on X'-Y'-Z' at 10:49 AM. He also did some hiking and skateboarding on August 22, 2032 at 04:43:15 AM and on 26-09-1856 respectively. He was also skiing on 28-08-1946 at 02:24 PM and hunting on 11-24-2013 at 07:02:05 AM. Arrange the activities David did in descending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:043", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: It took runner1 1:00:55, runner2 2:55:40, and runner3 1:55:10 hours:minutes:seconds to finish the race. If on average, it took the three runners H:M:S to finish the rance, report the values of H, M and S. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X - 0, Y' = Y - 57, and Z' = Z - 15.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: It took runner1 X':Y':Z', runner2 2:10:50, and runner3 0:30:10 hours:minutes:seconds to finish the race. If on average, it took the three runners H:M:S to finish the rance, report the values of H, M and S. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 1982, R' = R - 4, and Q' = Q - 9.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 6 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:046", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: If Jimmy started his homework at 14:01:02 (24hr) and finished at 12:08:50 (24hr), how long did he take to do his homework? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet X' = X - 21, Y' = Y + 48, and Z' = Z + 7.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: My last phone calls took X':Y':Z', 2:00:30, 1:40:55 and 2:55:00 hours:minutes:seconds each. On average, how long did a phone call take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 1999, R' = R - 0, and Q' = Q + 5.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 3 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:047", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: It takes Elizabeth an average of 28 minutes and 26 seconds to prepare 2 postcards. If she wants to prepare 9 postcards at the same rate, it will take her A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 2, 5, 10).\n\nLet X' = X - 0, Y' = Y - 7, and Z' = Z - 57.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: It took runner1 X':Y':Z', runner2 0:50:50, and runner3 1:50:40 hours:minutes:seconds to finish the race. If on average, it took the three runners H:M:S to finish the rance, report the values of H, M and S. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 1987, R' = R - 25, and Q' = Q - 18.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 3 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:051", "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, the tower took exactly 23 years to construct. They ended construction in October 17, 2002. What year did construction start? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: In a movie, the tower took exactly 8 years to construct. They started construction in 07-17-1999. What year was the tower ready in? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a movie, a company is celebrating their 28 anniversary today. If the date is 18 Aug, 2020, in what year was the company established? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X - 1977, Y' = Y - 2004, and Z' = Z - 1973.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Brad did. He was shopping at 00:09 (24hr). He also did some meditating and writing at X':Y':Z' PM and 21:00 (24hr) respectively. He was also sleeping at 16:00 (24hr) and working out at 14:17 (24hr). Arrange the activities Brad did in ascending order. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:052", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 09-13-2011, what is the date 17 months before now? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 10.\n\nLet the answer to Question2 be P.\n\nQuestion2: Today is Sunday and my parents arrive in X' days. On what day of the week do my parents arrive? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 16 and let P' be the day of the week 45 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the package was out for delivery Y' days ago. On what day of the week was the package out for delivery? Your answer should be the day of the week.\n\nLet Z' = Z - 1984 and let Q' be the day of the week 75 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:054", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The day before tomorrow is 2005-Dec-21. What is the date 42 days from now in the yyyy-mm-dd format? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y + 8 and Z' = Z - 1.\n\nUse these values to solve Question2.\n\nQuestion2: What is the time in Location A (-0800 PST) when the time in Location B is Y':Z' (24hr) UTC (+0000). Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:04 or same_day, 08:15.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:058", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: A concert was originally scheduled for 28 June, 2021, but has been postponed by 341 days. What is the new concert date? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 15.\n\nLet the answer to Question2 be P.\n\nQuestion2: If today is Monday, what day of the week was it X' days before now? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 6 and let P' be the day of the week 45 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the package was out for delivery Y' days ago. On what day of the week was the package out for delivery? Your answer should be the day of the week.\n\nLet Z' = Z - 2007 and let Q' be the day of the week 69 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:063", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for the day after yesterday in yyyy-mm-dd format is 2018-11-20, what is the date 1168 days from now in the same format? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 2021, Y' = Y + 8, and Z' = Z + 7.\n\nUse these values to solve Question2.\n\nQuestion2: Flight departs location A at 01 AM UTC(+0000). It reaches location B at X':Y':Z' PM UTC(+0000). What is the total time duration taken to fly? Your answer should be the number of days, hours, minutes, and seconds, respectively, without the units (for example, 3, 32, 46, 38).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:065", "request": "Let the answer to Question1 be X.\n\nQuestion1: The war had been going on for 441 days on 2017-07-21. How many days had it been going on for on 2017-10-04, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2007-01-24 (yyyy-mm-dd format) and I was born on 2005-10-24. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Today is 2004-04-29 and I was born on 2003-11-29. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 506, Y' = Y + 42, and Z' = Z + 37.\n\nUse these values to solve Question4.\n\nQuestion4: If Jason, Joe, Bob, Kyle, Lily have their exams at (times separated by ;): 12:05 AM; X':Y':Z' PM; 13:10 (24hr); 11:24:51 (24hr); 07:00 (24hr) respectively, find the persons whose exams are strictly before the cut-off time of 16:32:37 (24hr). If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:070", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The day after yesterday is 2015-Jun-21. What is the date 1268 days from now in the yyyy-mm-dd format? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y - 7 and Z' = Z + 37.\n\nUse these values to solve Question2.\n\nQuestion2: Henry lives in Location A (UTC +0000) and is going to call William in Location B at Y':Z' AM, A's time. What time is it for William in location B, who lives in EST (-0500), in their local time? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:04 or same_day, 08:16.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:072", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for the day after yesterday in yyyy-mm-dd format is 2022-07-02, what is the date 161 days from now in the same format? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y - 4 and Z' = Z + 13.\n\nUse these values to solve Question2.\n\nQuestion2: If right now, it is Y':Z' (24hr) in Location A (UTC +0000), what time is it in Location B (PST -0800)? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:04 or same_day, 08:16.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:074", "request": "Let the answer to Question1 be X.\n\nQuestion1: Hannah and David were born on 2009-Nov-26 and 2010-Sep-12 respectively. When David was 226 days old, how old was Hannah in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: The war had been going on for 279 days on 2014-03-16. How many days had it been going on for on 2014-12-12, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a fantasy movie, if the mythological character's birthday is on 25 June, 1767, how many years old is he on 28 March, 1789? If the information provided is not enough to calculate the answer, or if there is more than one possible answer, reply with unanswerable.\n\nLet X' = X + 1434, Y' = Y - 545, and Z' = Z - 6.\n\nUse these values to solve Question4.\n\nQuestion4: Kyle, Joe, Jason, Bob, Lily have their exams at the following date/times( separated by ;): on 28 August, 1948 at 09:54 PM; on 28 Aug, 1948 at 09:09 PM; on April 18, 1833; on 13 Feb, 2007 at 08:48 PM; and on 20 February, 1914 at 03:11 PM respectively. Find the persons whose exams are strictly before the cut off date/time of X'-Y'-Z' 16:28:15 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:078", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The day after yesterday is 2007-Mar-16. What is the date 270 days from now in the yyyy-mm-dd format? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y - 3 and Z' = Z + 20.\n\nUse these values to solve Question2.\n\nQuestion2: Michael lives in Location A and is going to call Asher at Y':Z' (24hr) UTC+0000. What time is it for Asher when they receive the call, in their local time. Asher lives in Location B which is in the timezone PST(-0800). Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:04:10 or same_day, 11:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:082", "request": "Let the answer to Question1 be X.\n\nQuestion1: If the current date in yyyy-mm-dd format is 2001-01-15 and I was born on 1996-11-25, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Olivia was born on 2014-Dec-13 and Oliver was born on 2018-Mar-13. Oliver is M months younger than Olivia. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: I was exactly 362 days old on 2009-03-14. Compute my age in days on 2009-11-18. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 1495, Y' = Y - 18, and Z' = Z - 590.\n\nUse these values to solve Question4.\n\nQuestion4: If Dan, Jenny, Jason, Joe, Bob have their exams at (times separated by ;): 06 PM; 05 PM; 04 PM; X':Y':Z' (24hr); 04:52 PM respectively, arrange the persons in descending order of their exam time. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:084", "request": "Let the answer to Question1 be X.\n\nQuestion1: I was exactly 549 days old on 2011-05-13. Compute my age in days on 2011-10-20. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Hannah was born on 1999-Aug-03 and Liam was born on 2000-Apr-22. How many days is Hannah older than Liam? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a movie, a company was established in 20 Feb, 2020. In what year will they celebrate their 18 anniversary? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X + 1274, Y' = Y - 262, and Z' = Z - 2019.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Asher did. He was gardening on 20 Apr, 1770 at 03:23:11 AM. He also did some camping and snowboarding on August 19, 1980 at 06 AM and on 28-07-2068 at 05:37:07 AM respectively. He was also skateboarding on 13 June, 1975 at 03:52 (24hr) and vacationing on 07-16-2021 at 04:03 (24hr). Find the activities which are strictly before the cut off date/time of X'-Y'-Z' 14:37:47 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [cooking, playing, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:085", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Calculate The time taken to take 11 lessons if the time taken to take 2 lessons is 1 hour, 55 minutes, and 16 seconds, if the pace remains the same. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X - 1, Y' = Y - 21, and Z' = Z - 12.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmys's homework time began at X':Y':Z' (24hr) and wrapped up at 21:37:56 (24hr). How much time passed during his work session? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 2008, R' = R - 18, and Q' = Q + 4.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 2 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:087", "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 2007-06-14 (yyyy-mm-dd format) and I was born on 2005-09-14. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Stella was born on 2012-Jan-25 and Ben was born on 2012-Feb-25. Ben is M months younger than Stella. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 8 and Y' = Y + 18.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on X' Apr, 2007 and really liked it. They decided to go to the same restaurant every Y' days. If today is 04 Jul, 2007, when is the next time they will go to that restaurant? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:092", "request": "Let the answer to Question1 be X.\n\nQuestion1: Joe was born on 2008-12-07. Compute his age in days on 2010-04-20. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Theodore was born on 2013-02-25. Compute his age in days on 2019-02-21. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 480 and Y' = Y - 2157.\n\nUse these values to solve Question3.\n\nQuestion3: A museum announced that every X' days, there will be a day of free entrance. The first free day was on Y' September, 2004. If today is Y' November, 2004, when is the next free day? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:093", "request": "Let the answer to Question1 be X.\n\nQuestion1: Theodore was born on 1993-01-18. Compute his age in days on 2000-07-24. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Natalie and Chris were born on 2004-Feb-18 and 2004-Dec-30 respectively. When Chris was 991 days old, how old was Natalie in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 2726 and Y' = Y - 1277.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on Nov Y', 2009 and really liked it. They decided to go to the same restaurant every X' days. If today is Feb 21, 2010, when is the next time they will go to that restaurant? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:095", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: What is the day 11 days from now in the yyyy-mm-dd format if the day before tomorrow is 1997-May-30? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y - 2 and Z' = Z + 15.\n\nUse these values to solve Question2.\n\nQuestion2: Sarah lives in Location A and is going to call Joe at Y':Z' AM IST+0530. What time is it for Joe when they receive the call, in their local time. Joe lives in Location B which is in the timezone UTC(+0000). Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:44:10 or same_day, 11:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:097", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for the day before tomorrow in yyyy-mm-dd format is 2011-02-28, what is the date 85 days from now in the same format? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y + 1 and Z' = Z - 0.\n\nUse these values to solve Question2.\n\nQuestion2: Flight departs location A at 01 PM EST(-0500). It reaches location B at Y':Z' PM UTC(+0000). What is the total time duration taken to fly? Your answer should be the number of days, hours, minutes, and seconds, respectively, without the units (for example, 3, 32, 46, 38).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:098", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 13 May, 2024, what is the date 3 years before now? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X + 24.\n\nLet the answer to Question2 be P.\n\nQuestion2: If today is Monday, what day of the week was it X' days before now? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 1 and let P' be the day of the week 25 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: On P' morning, I was told that the package was out for delivery Y' days ago. On what day of the week was the package out for delivery? Your answer should be the day of the week.\n\nLet Z' = Z - 1997 and let Q' be the day of the week 60 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: If it is Q', what is the day Z' hours from now? If the information provided is not enough to calculate the answer, or if there is more than one possible answer, reply with unanswerable.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:100", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The day before tomorrow is 2003-Jan-05. What is the date 27 days from now in the yyyy-mm-dd format? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y + 15 and Z' = Z + 4.\n\nUse these values to solve Question2.\n\nQuestion2: Location A is in the timezone UTC, which is UTC +0000, and Location B is in the timezone PST which is UTC -0800. When the time in Location A is Y':Z' (24hr), what is the time in Location B? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:04 or same_day, 08:14.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:101", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: The average time taken to play a solitaire game is 26 minutes and 28 seconds. Calculate the time taken to play a solitaire game 9 times at the same rate. Your answer should be the value of X, Y, and Z, respectively (for example, 2, 5, 10).\n\nLet X' = X + 10, Y' = Y - 47, and Z' = Z + 8.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmys's homework time began at X':Y':Z' (24hr) and wrapped up at 01:06:09 (24hr). How much time passed during his work session? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 1991, R' = R - 43, and Q' = Q - 18.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 2 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:103", "request": "Let the answer to Question1 be X.\n\nQuestion1: Christina and Brad were born on 2014-Nov-13 and 2015-Jul-19 respectively. When Brad was 174 days old, how old was Christina in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: The war had been going on for 247 days on 2019-11-24. How many days had it been going on for on 2020-04-30, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Today is 2007-08-20 and I was born on 2006-03-20. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 418, Y' = Y - 378, and Z' = Z + 2049.\n\nUse these values to solve Question4.\n\nQuestion4: If Jason, Emma, Lily, Dan, Kyle have their exams at (date_times separated by ;): on December 15, 1897 at 07:06:23 AM; on Oct 28, 1775; in February 1954; on X'-Y'-Z' at 06:45:07 PM; on 26-10-1925 at 13:02:25 (24hr) respectively, arrange them in ascending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:104", "request": "Let the answer to Question1 be X.\n\nQuestion1: If the current date is 2023-10-19 and I was born on 2018-04-26, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Abigail and Henry were born on 2016-May-30 and 2016-Nov-09 respectively. When Henry was 753 days old, how old was Abigail in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 1990 and Y' = Y - 896.\n\nUse these values to solve Question3.\n\nQuestion3: A company pays their employees every X' days. Benjamin received his first paycheck on Aug Y', 2021. If today is Jan Y', 2022, when will he receive his next paycheck? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:106", "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 2009-09-22 and I was born on 2008-10-22. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Elizabeth was born on 2008-Dec-29 and Bob was born on 2010-Jun-29. Bob is M months younger than Elizabeth. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X + 5 and Y' = Y + 12.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on July Y', 2013 and really liked it. They decided to go to the same restaurant every X' days. If today is October 06, 2013, when is the next time they will go to that restaurant? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:107", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for the day after yesterday in yyyy-mm-dd format is 2017-12-02, what is the date 1116 days from now in the same format? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 2018, Y' = Y + 21, and Z' = Z - 14.\n\nUse these values to solve Question2.\n\nQuestion2: A plane leaves Location A at 01 AM UTC+0000 and arrives in Location B X':Y':Z'(hh:mm:ss) later. What time is it in Location B when the plane lands? Location B is in the timezone IST(+0530)). Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:108", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Calculate the time taken to play a game for 22 rounds if Chris takes 22 minutes and 31 seconds to play a game for one round. If the answer is X hours, Y minutes, and Z seconds, Your answer should be the value of X, Y, and Z, respectively (for example, 2, 5, 10).\n\nLet X' = X - 6, Y' = Y + 15, and Z' = Z + 18.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: It took runner1 X':Y':Z', runner2 0:30:40, and runner3 1:50:55 hours:minutes:seconds to finish the race. If on average, it took the three runners H:M:S to finish the rance, report the values of H, M and S. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 2011, R' = R - 35, and Q' = Q + 12.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 3 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:110", "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, a company was established in Mar 28, 2004. In what year will they celebrate their 38 anniversary? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: Asher was born on 1999-08-06. Compute his age in days on 2003-05-28. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Today is 1997-09-29 (yyyy-mm-dd format) and I was born on 1996-06-29. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 2017, Y' = Y - 1390, and Z' = Z + 1746.\n\nUse these values to solve Question4.\n\nQuestion4: If Joe, Dan, Jason, Jenny, Kyle have their exams at (date_times separated by ;): on X'-Y'-Z' at 18:00 (24hr); on 14 Oct, 1767 at 12:54:10 PM; on Oct 14, 1767; on X'-Y'-Z' at 19:07:39 (24hr); on April 13, 2080 at 07:00 (24hr) respectively, arrange them in ascending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:111", "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 2013-10-20 (yyyy-mm-dd format) and I was born on 2012-05-20. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2023-03-31 and I was born on 2019-12-31. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: The birthdate of Elizabeth is 2003-Mar-26. Today is 2011-Sep-19. Compute the age of Elizabeth in days. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X + 1958, Y' = Y - 30, and Z' = Z - 3077.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Michael did. He was vacationing on December 26, 1759 at 08:03:17 PM. He also did some hunting and hiking on 19 Nov, 1818 at 05 PM and on 27 Aug, 1842 at 02 PM respectively. He was also fishing on 26-12-1759 at 10:00 (24hr) and snowboarding on October 13, 2017 at 09:00 (24hr). Find the activities which are strictly before the cut off date/time of X'-Y'-Z' 06:43:31 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [cooking, playing, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:114", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for today in yyyy-mm-dd format is 2001-08-10, what was the date 3 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.\n\nLet X' = X - 1997, Y' = Y + 23, and Z' = Z + 29.\n\nUse these values to solve Question2.\n\nQuestion2: Christina lives in Location A and is going to call Natalie at X':Y':Z' (24hr) UTC+0000. What time is it for Natalie when they receive the call, in their local time. Natalie lives in Location B which is in the timezone UTC(+0000). Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:116", "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 2004-01-13 and I was born on 2002-04-13. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2001-04-20 and I was born on 2000-06-20. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 6 and Y' = Y + 13.\n\nUse these values to solve Question3.\n\nQuestion3: A company pays their employees every X' days. Benjamin received his first paycheck on Y' Nov, 1999. If today is 13 Jan, 2000, when will he receive his next paycheck? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:118", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: I was born on 2010-06-20 (yyyy-mm-dd) and my cousin was born 10 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.\n\nLet X' = X - 1998, Y' = Y + 18, and Z' = Z + 24.\n\nUse these values to solve Question2.\n\nQuestion2: David lives in Location A (UTC +0000) and is going to call James in Location B at X':Y':Z' AM, A's time. What time is it for B, who lives in PST (-0800), in their local time. Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:121", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: I was born on 2006-06-13 (yyyy-mm-dd) and my cousin was born 5 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.\n\nLet Y' = Y + 4 and Z' = Z - 2.\n\nUse these values to solve Question2.\n\nQuestion2: If right now, it is Y':Z' PM in Location A (UTC +0000), what time is it in Location B (EST -0500)? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:44:10 or same_day, 11:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:123", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: The day after yesterday is 2021-Nov-02. What is the date 133 days from now in the yyyy-mm-dd format? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 2014, Y' = Y + 8, and Z' = Z + 38.\n\nUse these values to solve Question2.\n\nQuestion2: Location A is in the timezone IST, which is UTC +0530, and Location B is in the timezone IST which is UTC +0530. When the time in Location A is X':Y':Z' AM, what is the time in Location B? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:130", "request": "Let the answer to Question1 be X.\n\nQuestion1: I was exactly 920 days old on 2009-10-19. Compute my age in days on 2010-03-23. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Hannah and Liam were born on 2008-Aug-18 and 2009-Apr-20 respectively. When Liam was 238 days old, how old was Hannah in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a fantasy movie, if the mythological character's birthday is on 22 September, 1769, how many years old is he on 24 February, 1940? If the information provided is not enough to calculate the answer, or if there is more than one possible answer, reply with unanswerable.\n\nLet X' = X - 1064, Y' = Y - 442, and Z' = Z - 161.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Brad did. He was working out at 12:35 PM. He also did some plant watering and meditating at 11:00 (24hr) and X':Y':Z' (24hr) respectively. He was also reading at 03 PM and commuting at 18:55:48 (24hr). Arrange the activities Brad did in descending order. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:137", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: If Jimmy started his homework at 09:40:18 (24hr) and finished at 19:08:00 (24hr), how long did he take to do his homework? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet X' = X + 13, Y' = Y - 20, and Z' = Z - 3.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmys's homework time began at X':Y':Z' (24hr) and wrapped up at 05:09:17 (24hr). How much time passed during his work session? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 2003, R' = R + 5, and Q' = Q - 18.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 10 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:140", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: My last phone calls took 2:40:10, 0:30:30, 2:10:30 and 1:30:10 hours:minutes:seconds each. On average, how long did a phone call take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X + 10, Y' = Y + 17, and Z' = Z + 6.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: If Jimmy started his homework at X':Y':Z' PM and finished at 02:31:05 AM, how long did he take to do his homework? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 1995, R' = R - 21, and Q' = Q + 27.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 7 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:141", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for the day after yesterday in yyyy-mm-dd format is 1997-08-19, what is the date 1923 days from now in the same format? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 1997, Y' = Y - 3, and Z' = Z - 6.\n\nUse these values to solve Question2.\n\nQuestion2: Location A is in the timezone PST, which is UTC -0800, and Location B is in the timezone EST which is UTC -0500. When the time in Location A is X':Y':Z' (24hr), what is the time in Location B? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:142", "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, the tower took exactly 10 years to construct. They ended construction in September 25, 2016. What year did construction start? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: Sophia was born on 2020-Jun-28 and Jack was born on 2022-Sep-28. Jack is M months younger than Sophia. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a movie, the tower took exactly 21 years to construct. They started construction in 28-07-2018. What year was the tower ready in? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X + 3, Y' = Y - 22, and Z' = Z - 2025.\n\nUse these values to solve Question4.\n\nQuestion4: Jason, Emma, Joe, Bob, Dan have their exams at the following date/times( separated by ;): on September 23, 1996 at 23:26 (24hr); on 19-09-1997 at 19:42 (24hr); on 21 Aug, 2050 at 19:51 (24hr); on 18-09-1822 at 09:19 PM; and on 21 August, 2050 at 03:55:05 PM respectively. Find the persons whose exams are strictly before the cut off date/time of X'-Y'-Z' 18:49:42 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:144", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: The match was moved back early by 14 weeks. If the original date for the match was Jun 30, 1999, when will the match take place? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 32.\n\nLet the answer to Question2 be P.\n\nQuestion2: If today is Thursday, what day of the week was it X' days before now? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y - 13 and let P' be the day of the week 60 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: If it is 03:22 PM on P' , what is the day Y' hours from now? If the information provided is not enough to calculate the answer, or if there is more than one possible answer, reply with unanswerable.\n\nLet Z' = Z - 1984 and let Q' be the day of the week 58 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On a Q' before noon, Fred started studying and studied Z' hours non-stop. What day(s) of the week could it be when Fred finished studying? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:147", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: A construction project was due to be completed on 25 Oct, 2018, but has been expedited and finised early by 17 months. What is the new completion date? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 8.\n\nLet the answer to Question2 be P.\n\nQuestion2: On Tuesday morning, I was told that the deadline is in X' days. On what day of the week is the deadline? Your answer should be the day of the week (for example, Sunday).\n\nLet Y' = Y + 9 and let P' be the day of the week 32 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: If today is P', what day of the week was it Y' days before now? Your answer should be the day of the week.\n\nLet Z' = Z - 1999 and let Q' be the day of the week 34 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:151", "request": "Let the answer to Question1 be X.\n\nQuestion1: Today is 1997-04-27 (yyyy-mm-dd format) and I was born on 1994-08-27. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: The war had been going on for 609 days on 2016-06-30. How many days had it been going on for on 2016-08-13, if it never stopped in between the 2 dates? (Answer in days). Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: If the current date in yyyy-mm-dd format is 2002-11-19 and I was born on 1999-05-18, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 20, Y' = Y - 618, and Z' = Z - 1222.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Mateo did. He was sleeping at 18:30 (24hr). He also did some writing and meditating at X':Y':Z' (24hr) and 08:38 (24hr) respectively. He was also plant watering at 09:23 PM and cooking at 17:18:21 (24hr). Arrange the activities Mateo did in ascending order. If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:152", "request": "Let the answer to Question1 be X.\n\nQuestion1: Hannah was born on 2003-Mar-26 and John was born on 2004-Sep-26. John is M months younger than Hannah. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2002-11-19 and I was born on 2000-03-19. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 2 and Y' = Y - 3.\n\nUse these values to solve Question3.\n\nQuestion3: A company pays their employees every X' days. Benjamin received his first paycheck on November Y', 2015. If today is May 15, 2016, when will he receive his next paycheck? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:155", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for the day before tomorrow in yyyy-mm-dd format is 2006-10-10, what is the date 22 days from now in the same format? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y + 5 and Z' = Z + 5.\n\nUse these values to solve Question2.\n\nQuestion2: Location A is in the timezone PST, which is UTC -0800, and Location B is in the timezone IST which is UTC +0530. When the time in Location A is Y':Z' (24hr), what is the time in Location B? Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:44:10 or same_day, 06:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:156", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: It takes Asher 44 minutes and 45 seconds to carry one box, on average. If he wants to carry 22 boxes at the same rate, it will take him A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 2, 5, 10).\n\nLet X' = X - 13, Y' = Y - 6, and Z' = Z + 21.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Emily has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to write a letter, on average. Emily wants the robot to write 21 letters. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1925, R' = R - 33, and Q' = Q - 21.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 6 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:157", "request": "Let the answer to Question1 be X.\n\nQuestion1: Camila was born on 2018-Apr-18 and Levi was born on 2019-Jun-28. How many days is Camila older than Levi? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Alice was born on 2003-Jul-13 and Bob was born on 2004-Aug-13. Bob is M months younger than Alice. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 424 and Y' = Y + 7.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on 11-Y'-2019 and really liked it. They decided to go to the same restaurant every X' days. If today is 01-17-2020, when is the next time they will go to that restaurant? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:158", "request": "Let the answer to Question1 be X.\n\nQuestion1: Mia and Brad were born on 2001-Oct-25 and 2002-Mar-31 respectively. When Brad was 266 days old, how old was Mia in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Elizabeth was born on 2008-Dec-29 and Bob was born on 2010-Jun-29. Bob is M months younger than Elizabeth. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Camila was born on 2018-Apr-18 and Levi was born on 2019-Jun-28. How many days is Camila older than Levi? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X + 1443, Y' = Y - 7, and Z' = Z - 410.\n\nUse these values to solve Question4.\n\nQuestion4: Emma, Bob, Jason, Dan, Jenny have their exams at the following date/times( separated by ;): on 17 Sep, 1883 at 12:00 (24hr); on 17 Sep, 1883 at 03:41 AM; on August 23, 1979; on 28 August, 1814 at 09 PM; and on 28 July, 1905 at 14:01:39 (24hr) respectively. Find the persons whose exams are strictly after the cut off date/time of X'-Y'-Z' 11:24:22 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:160", "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, the tower took exactly 8 years to construct. They started construction in 23 February, 2005. What year was the tower ready in? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: The birthdate of Natalie is 2008-Mar-22. Today is 2015-Oct-19. Compute the age of Natalie in days. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Today is 2005-12-14 and I was born on 2005-06-14. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 1992, Y' = Y - 2756, and Z' = Z + 1873.\n\nUse these values to solve Question4.\n\nQuestion4: If Jenny, Kyle, Joe, Emma, Jason have their exams at (date_times separated by ;): on 16 Oct, 1925; on 23 June, 1872 at 05:57 (24hr); on X'-Y'-Z' at 14:46 (24hr); on May 19, 1944 at 14:33 (24hr); in Aug 1851 respectively, arrange them in descending order. If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete time to be 1 Feb 2020 00:00:00. \" Your answer should be an ordered list (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:161", "request": "Let the answer to Question1 be X.\n\nQuestion1: Alice was born on 2003-Jul-13 and Bob was born on 2004-Aug-13. Bob is M months younger than Alice. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: I was exactly 956 days old on 2015-07-24. Compute my age in days on 2015-08-31. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a movie, the tower took exactly 6 years to construct. They ended construction in 26 September, 2002. What year did construction start? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X - 3, Y' = Y - 960, and Z' = Z - 1953.\n\nUse these values to solve Question4.\n\nQuestion4: If Jason, Lily, Kyle, Jenny, Emma have their exams at (times separated by ;): X':Y':Z' (24hr); 05 PM; 01:59:23 AM; 17:34:26 (24hr); 03:47:37 AM respectively, find the persons whose exams are strictly after the cut-off time of 11:15:11 (24hr). If a time is at a lower granularity, assume the earliest value for the missing information. Eg: if the time is 2:40 PM, assume the complete time to be 2:40:00 PM. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:162", "request": "Let the answer to Question1 be X/Y/Z.\n\nQuestion1: If the current date is 28-05-2014, what is the date 24 months from now? Your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021).\n\nLet X' = X + 15.\n\nLet the answer to Question2 be P.\n\nQuestion2: If it is 10:13 AM on Tuesday , what is the day X' hours from now? If the information provided is not enough to calculate the answer, or if there is more than one possible answer, reply with unanswerable.\n\nLet Y' = Y - 12 and let P' be the day of the week 76 days after P.\n\nLet the answer to Question3 be Q.\n\nQuestion3: Today is P' and my parents arrived Y' days ago. On what day of the week did my parents arrive? Your answer should be the day of the week.\n\nLet Z' = Z - 1987 and let Q' be the day of the week 24 days after Q.\n\nUse these values to solve Question4.\n\nQuestion4: On Q' before noon, I received a text saying my deadline is in exactly Z' hours. On what day(s) of the week could the deadline be? Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:163", "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, the tower took exactly 4 years to construct. They started construction in 12-15-2018. What year was the tower ready in? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2021-01-26 (yyyy-mm-dd format) and I was born on 2020-05-26. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question3 be Z.\n\nQuestion3: In a movie, a company is celebrating their 40 anniversary today. If the date is 03-13-1998, in what year was the company established? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet X' = X - 235, Y' = Y + 4, and Z' = Z - 1939.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Alex did. He was hunting on 25 Jan, 1804 at 06:15:55 PM. He also did some sailing and traveling on 14 Oct, 1930 at 22:00 (24hr) and on 06-22-2063 at 10:12:38 PM respectively. He was also skateboarding on 27-02-2002 at 16:36 (24hr) and fishing in Jun 2063. Find the activities which are strictly before the cut off date/time of X'-Y'-Z' 14:07:19 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [cooking, playing, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:167", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: David play a solitaire game 2 times in 2 hours, 33 minutes, and 28 seconds. What is the time taken by them to play a solitaire game 24 times, at the same pace. Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X - 16, Y' = Y + 18, and Z' = Z + 18.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Jimmy's homework ended at X':Y':Z' (24hr). How much time passed during his work session if he srarted at 07:20:23 (24hr)? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 2003, R' = R - 30, and Q' = Q - 0.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 7 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:168", "request": "Let the answer to Question1 be X.\n\nQuestion1: Hannah and Chris were born on 2006-Dec-28 and 2007-Nov-05 respectively. When Chris was 838 days old, how old was Hannah in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2004-04-29 and I was born on 2003-11-29. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 1140 and Y' = Y + 12.\n\nUse these values to solve Question3.\n\nQuestion3: A company pays their employees every X' days. Benjamin received his first paycheck on 10-Y'-2011. If today is 02-08-2012, when will he receive his next paycheck? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:174", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: If the date for the day after yesterday in yyyy-mm-dd format is 2019-05-30, what is the date 405 days from now in the same format? Your answer should be a date (for example, 2023-10-31).\n\nLet X' = X - 1997, Y' = Y + 4, and Z' = Z + 21.\n\nUse these values to solve Question2.\n\nQuestion2: What is the time in Location A (+0000 UTC) when the time in Location B is X':Y':Z' (24hr) UTC (+0000). Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:08:10 or same_day, 07:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:175", "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, the tower took exactly 19 years to construct. They started construction in 12-26-2019. What year was the tower ready in? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: In a movie, a company is celebrating their 29 anniversary today. If the date is 19-09-2016, in what year was the company established? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question3 be Z.\n\nQuestion3: I was exactly 976 days old on 2000-04-26. Compute my age in days on 2000-09-24. Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 2033, Y' = Y - 1943, and Z' = Z - 1127.\n\nUse these values to solve Question4.\n\nQuestion4: If Jason, Kyle, Dan, Emma, Lily have their exams at (times separated by ;): X':Y':Z' PM; 08:43:17 PM; 03:09:36 AM; 12:17:20 AM; 04:44:29 PM respectively, whose exam is last? The answer can have multiple values. Your answer should be an ordered list with alphabetically ordered items (for example, [answer1, answer2, ...]).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:176", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: It takes Amelia an average of 13 minutes and 34 seconds to read 2 chapters. If she wants to read 19 chapters at the same rate, it will take her A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 2, 5, 10).\n\nLet X' = X + 7, Y' = Y + 23, and Z' = Z - 51.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: If Jimmy started his homework at X':Y':Z' AM and finished at 07:47:02 AM, how long did he take to do his homework? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet P' = P + 1990, R' = R - 5, and Q' = Q + 31.\n\nUse these values to answer Question3.\n\nQuestion3: I was born on P'-R'-Q' (yyyy-mm-dd) and my cousin was born 7 days before me. Give the date of birth of my cousin in the same format. If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:181", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Jimmy's homework ended at 04:46:06 PM. How much time passed during his work session if he srarted at 02:55:14 AM? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet X' = X - 11, Y' = Y - 20, and Z' = Z - 12.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: My last phone calls took X':Y':Z', 0:55:00, 2:00:50 and 1:55:30 hours:minutes:seconds each. On average, how long did a phone call take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 1984, R' = R - 41, and Q' = Q + 1.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 5 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:182", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: What is the day 94 days from now in the yyyy-mm-dd format if the day before tomorrow is 2007-Oct-14? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y + 10 and Z' = Z + 41.\n\nUse these values to solve Question2.\n\nQuestion2: Isabella lives in Location A (UTC +0000) and is going to call Michael in Location B at Y':Z' AM, A's time. What time is it for B, who lives in IST (+0530), in their local time. Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:44:10 or same_day, 11:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:184", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: My last phone calls took 1:40:00, 0:50:10, 1:55:10 and 1:00:00 hours:minutes:seconds each. On average, how long did a phone call take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X - 0, Y' = Y + 38, and Z' = Z + 35.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Mia has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to play a solitaire game, on average. Mia wants the robot to play a solitaire game 24 times. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1938, R' = R - 54, and Q' = Q + 32.\n\nUse these values to answer Question3.\n\nQuestion3: If the date for today in yyyy-mm-dd format is P'-R'-Q', what was the date 8 days ago in the same format? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:186", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: My last phone calls took 1:10:40, 0:55:50, 1:40:30 and 1:50:00 hours:minutes:seconds each. On average, how long did a phone call take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet X' = X + 1, Y' = Y + 26, and Z' = Z + 15.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: My last phone calls took X':Y':Z', 1:00:10, 0:55:10 and 1:55:30 hours:minutes:seconds each. On average, how long did a phone call take? Your answer should be the hours, minutes, and seconds, respectively, without the units (for example, 1, 58, 10).\n\nLet P' = P + 2011, R' = R - 28, and Q' = Q - 1.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 2 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:188", "request": "Let the answer to Question1 be X-Y-Z.\n\nQuestion1: What is the day 796 days from now in the yyyy-mm-dd format if the day after yesterday is 2005-Feb-27? Your answer should be a date (for example, 2023-10-31).\n\nLet Y' = Y - 0 and Z' = Z - 4.\n\nUse these values to solve Question2.\n\nQuestion2: Abigail lives in Location A (EST -0500) and is going to call Bob in Location B at Y':Z' (24hr), A's time. What time is it for B, who lives in UTC (+0000), in their local time. Your answer should include the day and the time. The day should be the number of days before/after the start day (use same_day if the answer is the same day), and time should be in 24-hour format. Some examples are +2, 21:44:10 or same_day, 11:04.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:190", "request": "Let the answer to Question1 be X.\n\nQuestion1: In a movie, the tower took exactly 40 years to construct. They ended construction in August 18, 2021. What year did construction start? If the question asks for a date, your answer should be the date in the mm/dd/yyyy format (for example, 06/23/2021) and if the question asks for a year, in the yyyy format (for example, 2021) .\n\nLet the answer to Question2 be Y.\n\nQuestion2: I was exactly 259 days old on 2023-07-20. Compute my age in days on 2024-05-24. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question3 be Z.\n\nQuestion3: Natalie was born on 2014-Aug-17 and Alex was born on 2017-May-17. Alex is M months younger than Natalie. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 160, Y' = Y - 566, and Z' = Z - 6.\n\nUse these values to solve Question4.\n\nQuestion4: In a movie, here are some activities Mateo did. He was skateboarding on Nov 22, 1846 at 14:00 (24hr). He also did some sailing and studying on 04-26-2059 at 02 AM and on January 22, 1969 at 03:36:01 AM respectively. He was also vacationing on 21 Aug, 1952 and traveling on 21-08-1952 at 12 AM. Find the activities which are strictly after the cut off date/time of X'-Y'-Z' 21:13:47 (24hr). If a date/time is at a lower granularity, assume the earliest value for the missing information. Eg: if the date is Feb, 2020, assume the complete date/time to be 1 Feb 2020 00:00:00. Your answer should be an ordered list with alphabetically ordered items (for example, [cooking, playing, ...]). If there are no valid answers, return an empty list [].", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:194", "request": "Let the answer to Question1 be X, Y, Z.\n\nQuestion1: Jimmy's homework ended at 06:16:32 (24hr). How much time passed during his work session if he srarted at 17:09:45 (24hr)? If the end time is before the start time, assume it to be on the next day. Your answer should be the number of hours, minutes, and seconds, respectively, without the units (for example, 13, 6, 47).\n\nLet X' = X - 9, Y' = Y + 29, and Z' = Z - 5.\n\nLet the answer to Question2 be P, R, Q.\n\nQuestion2: Elizabeth has bought a robot that helps with everyday tasks. It takes the robot X':Y':Z' hours:minutes:seconds to play a game for one round, on average. Elizabeth wants the robot to play a game for 22 rounds. It took the robot A hours, B minutes, and C seconds. Your answer should be the value of A, B, and C, respectively (for example, 22, 58, 10).\n\nLet P' = P + 1909, R' = R + 4, and Q' = Q + 7.\n\nUse these values to answer Question3.\n\nQuestion3: The most important game was on P'-R'-Q' (yyyy-mm-dd) and the second most important game was 10 days before it. What was the date of the second most important game? If the question cannot be answered, reply \"unanswerable\". Use the date format in the question to answer the question.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:196", "request": "Let the answer to Question1 be X.\n\nQuestion1: Natalie was born on 2014-Aug-17 and Alex was born on 2017-May-17. Alex is M months younger than Natalie. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet the answer to Question2 be Y.\n\nQuestion2: Today is 2014-07-27 (yyyy-mm-dd format) and I was born on 2012-05-27. I am M months old. Compute M. You can assume the time between the same date in two consecutive months to be 1 month. Eg: the time between 02/13/2020 and 03/13/2020 is 1 month. Your answer should be the number of months without the unit (for example, 12).\n\nLet X' = X - 17 and Y' = Y + 2.\n\nUse these values to solve Question3.\n\nQuestion3: Alan and Mary tried a new restaurant on May Y', 2004 and really liked it. They decided to go to the same restaurant every X' days. If today is Dec 07, 2004, when is the next time they will go to that restaurant? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:time_arithmetic:198", "request": "Let the answer to Question1 be X.\n\nQuestion1: Asher was born on 1999-08-06. Compute his age in days on 2003-05-28. Both dates are in yyyy-mm-dd format. Your answer should be the number of days without the unit (for example, 233).\n\nLet the answer to Question2 be Y.\n\nQuestion2: If the current date in yyyy-mm-dd format is 2022-06-18 and I was born on 2020-10-27, what is my age in days? Your answer should be the number of days without the unit (for example, 233).\n\nLet X' = X - 1371 and Y' = Y - 584.\n\nUse these values to solve Question3.\n\nQuestion3: A company pays their employees every X' days. Benjamin received his first paycheck on May Y', 2006. If today is Aug 05, 2006, when will he receive his next paycheck? Use the date format in the question to report the result.", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:000", "request": "In this question, assume each person either always tells the truth or always lies. Liam is at the botanical garden. The person at the hotel says the person at the airport lies. The person at the barbershop says the person at the botanical garden tells the truth. Soren is at the restaurant. The person at the zoo says the person at the art gallery tells the truth. The person at the airport says the person at the skate park lies. The person at the aquarium tells the truth. The person at the restaurant tells the truth. Ayaan is at the barbershop. Anika is at the art gallery. Kehinde is at the museum. Charlie is at the school. The person at the observatory says the person at the zoo lies. The person at the botanical garden says the person at the airport tells the truth. The person at the zoo tells the truth. Zara is at the aquarium. The person at the airport says the person at the observatory tells the truth. Devika is at the airport. The person at the museum tells the truth. Ethan is at the campground. Luna is at the skate park. The person at the campground says the person at the zoo tells the truth. Theo is at the observatory. Farid is at the zoo. Grace is at the hotel. The person at the school tells the truth. Does the person at the botanical garden tell the truth? Does the person at the airport tell the truth? Does the person at the observatory tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:002", "request": "In this question, assume each person either always tells the truth or always lies. Disha says Othello tells the truth. Christie says only one of Antwan, Oliver and Orion lies. Ryan says exactly one of Conception, Oona and Max tells the truth.Marsha says Obadiah lies. Shenna says only one of Vernell, Otis and Oprah tells the truth. Oriana says Orin lies. Otis says Morgan tells the truth. Osric says Milo lies. Andree says either exactly one of Dallas, Marshall and John tells the truth, or all three of them. Lorine lies. Conception says exactly one of Jim, Omar and Matthew tell the truth. Dallas says exactly one of Leda, Mackenzie and Octavian tell the truth. Matthew says Omar lies. Crista says either all three of Sal, Oleg and Oden tell the truth or only one of them. Mark says Michelle lies. Oprah says Morgan lies. Sal says Sherrie tells the truth. Leda says Phoebe tells the truth. John says Marshall tells the truth. Michelle says Mark lies. Vernell says either exactly one of Lorine, Disha and Othello tells the truth, or all three of them. Willian says exactly one of Ryan, Oriana and Orin tell the truth. Osmond says Obadiah tells the truth. Max says Oona lies. Opal says Ovid tells the truth. Phoebe says only one of Crista, Natasha and Osric lies. Oakley says Maxim tells the truth. Kristian says Gwenn lies. Nicole says Marty tells the truth. Omar says Matthew lies. Shalonda says only one of Bernita, Opal and Mallory tells the truth. Maxim says Oakley tells the truth. Osbert says Maverick tells the truth. Oleg says Oden tells the truth. Sanket says Odette lies. Orion says Martha lies. Oliver says Martha tells the truth. Orin says Oriana lies. Antwan says only one of Willian, Oakleigh and Sanket tells the truth. Oden says Oleg tells the truth. Mallory says Ovid lies. Gwenn says exactly two of Fidel, Mark and Michelle tell the truth. Marshall says John tells the truth. Mackenzie says Octavian lies. Bernita says Shenna, Osmond and Marsha all tell the truth. Jim says either all three of Andree, Osbert and Maverick lie, or two of them tell the truth. Maverick says Osbert tells the truth. Fidel says either all three of Christie, Maxim and Oakley tell the truth or only one of them. Marty says Nicole tells the truth. Natasha says Milo tells the truth. Oakleigh says Odette tells the truth. Octavian says Mackenzie lies. Oona says Max lies. Othello says Disha tells the truth. Sherrie says either all three of Shalonda, Marty and Nicole tell the truth or only one of them. Do Andree, Oliver, and Kristian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:003", "request": "In this question, assume each person either always tells the truth or always lies. Madeleine says Onyx lies. Oswin says Oprah lies. Ottoline says Oakleigh lies. Delfina says exactly one of Kristian, Madeleine and Onyx tell the truth. Virginia says Mina lies. Orly says Mohamed tells the truth. Oakleigh says Ottoline lies. Michelle says Ophelia tells the truth. Mickey says Disha lies. Antwan says only one of Bernita, Mitchell and Otto tells the truth. Ophelia says Michelle tells the truth. Sal says either exactly two of Rashida, Martha and Mona tell the truth or none of them. Monica says Disha tells the truth. Ryan says exactly one of Amberly, Mina and Virginia tell the truth. Jaymie says Delfina lies. Fletcher says Tamika tells the truth. Oprah says Oswin lies. Max says Oscar tells the truth. Rashida says only one of Fletcher, Monica and Mickey lies. Amberly says Sima tells the truth. Bernita says exactly two of Christie, Oswin and Oprah tells the truth. Martha says Mona tells the truth. Kristian says either all three of Teressa, Max and Oscar tell the truth or only one of them. Mitchell says Murray tells the truth. Sima says either all three of Dallas, Mohamed and Orly tell the truth or only one of them. Tamika says exactly two of Antwan, Oakleigh and Ottoline tell the truth. Onyx says Madeleine lies. Teressa says exactly one of Sal, Octavian and Margaret tells the truth.Mohamed says Orly tells the truth. Mona says Martha tells the truth. Christie says either exactly two of Jerry, Ophelia and Michelle tell the truth or none of them. Otto says Murray lies. Margaret says Octavian lies. Oscar says Max tells the truth. Jerry says Ryan lies. Octavian says Margaret lies. Mina says Virginia lies. Dallas tells the truth. Do Kristian, Sal, and Jaymie tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:004", "request": "In this question, assume each person either always tells the truth or always lies. Megan says Marina tells the truth. Phoebe lies. Odile says Mike tells the truth. Sima says only one of Phoebe, Orlando and Sanket lies. Hritik says Maximilian tells the truth. Malcolm says Mavis tells the truth. Shaunda says exactly two of Shenna, Marvin and Oswald tells the truth. Odette says Oran tells the truth. Jamey says Ka lies. Gwenn says either exactly one of Leda, Molly and Disha tells the truth, or all three of them. Mark says Lalit tells the truth. Kate says Otto tells the truth. Monica says Miriam lies. Andree says Ryan lies. Sanket says Ozzy lies. Alejandro says either exactly one of Audrie, Lalit and Mark tells the truth, or all three of them. Teressa says exactly two of Vernell, Miles and Orla tells the truth. Marina says Megan tells the truth. Oona says Oda lies. Orlando says Ozzy tells the truth. Molly says Disha tells the truth. Lalit says Mark tells the truth. Vernell says Lorine, Hritik and Octavian all tell the truth. Mallory says Meadow tells the truth. Audrie says either exactly one of Andree, Mavis and Malcolm tells the truth, or all three of them. Bernita says exactly two of Elanor, Oona and Oda tells the truth. Elanor says either exactly two of Fletcher, Meadow and Mallory tell the truth or none of them. Helene says either all three of Bernita, Oran and Odette lie, or two of them tell the truth. Mavis says Malcolm tells the truth. Ryan says only one of Teressa, Oakleigh and Monica tells the truth. Shenna says only one of Gwenn, Muhammad and Orson lies. Shalonda says Shaunda lies. Marvin says Oswald lies. Oswald says Marvin lies. Oleg says Mike lies. Orson says Natasha lies. Disha says Molly tells the truth. Miles says Orla lies. Oran says Odette tells the truth. Oda says Oona lies. Fletcher says either all three of Shalonda, Otto and Kate tell the truth or only one of them. Oakleigh says Miriam tells the truth. Otto says Kate tells the truth. Leda says either exactly two of Jamey, Megan and Marina tell the truth or none of them. Meadow says Mallory tells the truth. Crista says Jerry tells the truth. Octavian says Maximilian lies. Jerry says only one of Alejandro, Odile and Oleg tells the truth. Muhammad says Natasha tells the truth. Lorine says Sima lies. Ka says Crista lies. Orla says Miles lies. Do Leda, Oran, and Helene tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:005", "request": "In this question, assume each person either always tells the truth or always lies. Minnie says Miller tells the truth. Miller says Minnie tells the truth. Ottoline says Micah lies. Mateo says Odile lies. Othello says Orin lies. Christie says Fletcher tells the truth. Morgan says Oona lies. Fletcher says Teressa, Oakleigh and Maxwell all tell the truth. Vina says either all three of Inga, Maverick and Mary tell the truth or only one of them. Delbert says exactly two of Vina, Othello and Orin tell the truth. Phoebe says only one of Christie, Madison and Ottoline tells the truth. Inga says either all three of Bernita, Minnie and Miller lie, or two of them tell the truth. Odile says Mateo lies. Alejandro says exactly two of Jim, Mateo and Odile tell the truth. Orin says Othello lies. Martha says Onyx lies. Mary says Maverick tells the truth. Jim says exactly two of Gwenn, Morgan and Oona tell the truth. Crista says either exactly two of Phoebe, Mike and Michael tell the truth or none of them. Shenna says Alejandro tells the truth. Maverick says Mary tells the truth. Michael says Mike tells the truth. Madison says Micah tells the truth. Ka says Crista lies. Mike says Michael tells the truth. Conception says Shenna tells the truth. Teressa tells the truth. Oona says Morgan lies. Oakleigh says Bahar tells the truth. Maxwell says Bahar lies. Bernita says Ka lies. Onyx says Martha lies. Gwenn says exactly two of Delbert, Martha and Onyx tell the truth. Do Alejandro, Gwenn, and Conception tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:011", "request": "In this question, assume each person either always tells the truth or always lies. Sima says exactly one of Fidel, Murphy and Otis tells the truth.Molly says Milo tells the truth. Murphy says Otis lies. Madison says Oriana tells the truth. Jim says exactly one of Inga, Olympia and Miriam tells the truth.Oona says Micah lies. Octavia says Mark lies. Otis says Murphy lies. Jaymie says either all three of Jamey, Madison and Oriana tell the truth or only one of them. Phoebe says only one of Alejandro, Bahar and Osborn tells the truth. Marsha says Muhammad lies. Teressa says only one of Sal, Maurice and Oscar lies. Audrie tells the truth. Olympia says Miriam lies. Oakleigh says Mallory lies. Alejandro says Delbert, John and Octavia all tell the truth. Inga says Kandi tells the truth. John says Mark tells the truth. Margaret says Kate lies. Rashida says Teressa lies. Matteo says Marvin lies. Marlon says Oswald lies. Lorine says Rashida lies. Jamey says only one of Tamika, Maya and Melvin tells the truth. Shaunda says only one of Jim, Odin and Matteo lies. Octavian says Kate tells the truth. Ofelia says Micah tells the truth. Orin says Misty lies. Maximilian says Oakley lies. Maya says Ottoline tells the truth. Yoland says exactly two of Ka, Oakley and Maximilian tells the truth. Opal says Osian tells the truth. Osian says Opal tells the truth. Elanor says exactly two of Conception, Oakleigh and Mallory tell the truth. Misty says Orin lies. Crista says either exactly one of Yoland, Natasha and Mina tells the truth, or all three of them. Natasha says Mina tells the truth. Conception says Audrie tells the truth. Maurice says Maxim tells the truth. Oswin says Muhammad tells the truth. Sal says only one of Elanor, Ofelia and Oona lies. Delbert says only one of Jerry, Oswin and Marsha lies. Ka says Phoebe lies. Alexis says either all three of Jaymie, Osian and Opal tell the truth or only one of them. Fidel says exactly two of Crista, Misty and Orin tells the truth. Oakley says Maximilian lies. Bahar says Maverick tells the truth. Mallory says Oakleigh lies. Delfina says Lorine, Octavian and Margaret all tell the truth. Melvin says Ottoline lies. Kandi says either exactly two of Alexis, Milo and Molly tell the truth or none of them. Tamika says Delfina tells the truth. Osborn says Maverick lies. Miriam says Olympia lies. Jerry says exactly two of Shaunda, Oswald and Marlon tell the truth. Milo says Molly tells the truth. Oscar says Maxim lies. Oswald says Marlon lies. Odin says Marvin tells the truth. Mina says Natasha tells the truth. Oriana says Madison tells the truth. Do Jaymie, Alexis, and Sima tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:012", "request": "In this question, assume each person either always tells the truth or always lies. Marsha says Oswald lies. Delfina says either all three of Shalonda, Milo and Nishanth tell the truth or only one of them. Fletcher says either exactly two of Delbert, Mitchell and Millie tell the truth or none of them. Hritik says Maria tells the truth. Mia says Osborn lies. Delbert says exactly two of Rashida, Odysseus and Octavian tell the truth. McKenzie says Monica tells the truth. Rashida says Conception tells the truth. Mickey says Omar tells the truth. Lorine says either exactly two of Sherrie, Mickey and Omar tell the truth or none of them. Conception says only one of Phoebe, Muriel and Osvaldo tells the truth. Fidel says either exactly one of Jamey, Mindy and Natasha tells the truth, or all three of them. Millicent says Osborn tells the truth. Micah says Odette tells the truth. Ofelia says Max tells the truth. Vina says either exactly one of Crista, Max and Ofelia tells the truth, or all three of them. Mark says Oliver lies. Sherrie says either all three of Amberly, Odessa and Miles tell the truth or only one of them. Crista says exactly two of Lorine, Meadow and Martha tells the truth. Octavius says Mavis tells the truth. Mavis says Octavius tells the truth. Nishanth says Milo tells the truth. Mitchell says Millie tells the truth. Oswald says Marsha lies. Kandi says Inga tells the truth. Omar says Mickey tells the truth. Inga says Vina tells the truth. Gwenn says Delfina, Ozzie and Osric all tell the truth. Andree says exactly one of Ryan, Marsha and Oswald tell the truth. Odysseus says Octavian lies. Jaymie says only one of Andree, Nicole and Mark lies. Osvaldo says Mallory lies. Amberly says Helene lies. Ryan says either all three of Alexis, Monica and McKenzie tell the truth or only one of them. Millie says Mitchell tells the truth. Milo says Nishanth tells the truth. Orson says Minerva tells the truth. Odessa says Miles tells the truth. Max says Ofelia tells the truth. Martha says Meadow lies. Maurice says Mustafa lies. Martin says Minerva lies. Ozzie says Mike tells the truth. Natasha says Mindy tells the truth. Shenna says only one of Leda, Orson and Martin lies. Shalonda says Willian lies. Muriel says Mallory tells the truth. Octavian says Odysseus lies. Phoebe says Christie, Micah and Mackenzie all tell the truth. Monica says McKenzie tells the truth. Maria says Hritik tells the truth. Miguel says Mercedes lies. Mindy says Natasha tells the truth. Nicole says Oliver tells the truth. Miles says Odessa tells the truth. Mackenzie says Odette lies. Meadow says Martha lies. Mustafa says Maurice lies. Willian says only one of Fletcher, Maxwell and Miguel lies. Leda says either exactly one of Jaymie, Maria and Hritik tells the truth, or all three of them. Alexis says only one of Kandi, Millicent and Mia tells the truth. Maxwell says Mercedes tells the truth. Jamey says either exactly one of Shenna, Mavis and Octavius tells the truth, or all three of them. Osric says Mike lies. Helene lies. Christie says exactly one of Fidel, Maurice and Mustafa tells the truth.Do Willian, Andree, and Gwenn tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:013", "request": "In this question, assume each person either always tells the truth or always lies. Ovid says Michaela lies. Shaunda says either all three of Helene, Mina and Matteo tell the truth or only one of them. Meredith says Onyx tells the truth. Vernell says Dallas tells the truth. Matthew says Mia lies. Osric says Mercedes tells the truth. Onyx says Meredith tells the truth. Mariana says Meadow tells the truth. Mercedes says Osric tells the truth. Willian says either all three of Yoland, Mercedes and Osric lie, or two of them tell the truth. Bernita says either all three of Vernell, Mariana and Meadow lie, or two of them tell the truth. Maya says Megan tells the truth. Jim says Sima tells the truth. Mia says Matthew lies. Opal says Oliver tells the truth. Michaela says Ovid lies. Oliver says Opal tells the truth. Gwenn lies. Andree says exactly two of Ryan, Ovid and Michaela tell the truth. Millie says Mustafa tells the truth. Audrie says only one of Ka, Mohamed and Melvin tells the truth. Matteo says Mina tells the truth. Dallas says Audrie, Marty and Lalit all tell the truth. Lalit says Mickey lies. Miguel says Bahar tells the truth. Sima says Shaunda lies. Lorine says either exactly one of Tamika, Mustafa and Millie tells the truth, or all three of them. Ryan says Bernita tells the truth. Muriel says Marcus tells the truth. Ka says either exactly two of Crista, Meredith and Onyx tell the truth or none of them. Marty says Mickey tells the truth. Tamika says either exactly one of Jaymie, Opal and Oliver tells the truth, or all three of them. Bahar says Miguel tells the truth. Alejandro says Gwenn lies. Mustafa says Millie tells the truth. Jaymie says either exactly one of Jim, Marcus and Muriel tells the truth, or all three of them. Meadow says Mariana tells the truth. Helene says either all three of Willian, Maya and Megan tell the truth or only one of them. Megan says Maya tells the truth. Mina says Matteo tells the truth. Yoland says exactly one of Alejandro, Mia and Matthew tell the truth. Melvin says Osbert lies. Crista says either all three of Lorine, Miguel and Bahar lie, or two of them tell the truth. Marcus says Muriel tells the truth. Mohamed says Osbert tells the truth. Do Bernita, Onyx, and Andree tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:015", "request": "In this question, assume each person either always tells the truth or always lies. Osmond says Melody tells the truth. Melissa says Oda tells the truth. Molly says Maurice tells the truth. Kristian lies. Maximilian says Octavius tells the truth. Mina says Osric lies. Jerry says Antwan lies. Oscar says Lalit lies. Tamika says Inga tells the truth. Ottoline says Ozzie lies. Inga says Sherrie lies. Kandi says Bernita tells the truth. Teressa says either exactly two of Kandi, Melody and Osmond tell the truth or none of them. Mehran says Muhammad lies. Octavia says Lalit tells the truth. Raymond says only one of Vina, Mia and Ottoline lies. Ollie says Opal tells the truth. Alejandro says only one of Kristian, Nicole and Marvin lies. Obadiah says Maverick lies. Mia says Ozzie tells the truth. Maxwell says Orhan tells the truth. Orhan says Maxwell tells the truth. Marty says Maybelle tells the truth. Bahar says Meredith tells the truth. Maybelle says Marty tells the truth. Muhammad says Mehran lies. Maurice says Molly tells the truth. Marvin says Oona lies. Melody says Osmond tells the truth. Alexis says Jerry tells the truth. Gwenn says either all three of Alejandro, Opal and Ollie lie, or two of them tell the truth. Delfina says either exactly two of Amberly, Maurice and Molly tell the truth or none of them. Audrie says either all three of Teressa, Octavius and Maximilian lie, or two of them tell the truth. Sherrie says Gwenn, Maya and Obadiah all tell the truth. Nicole says Oona tells the truth. Amberly says either all three of Jim, Marty and Maybelle lie, or two of them tell the truth. Octavius says Maximilian tells the truth. Ka says exactly one of Alexis, Osric and Mina tells the truth.Jim says either exactly two of Ka, Orhan and Maxwell tell the truth or none of them. Shaunda says Audrie lies. Opal says Ollie tells the truth. Meredith says Bahar tells the truth. Bernita says either all three of Delfina, Bahar and Meredith lie, or two of them tell the truth. Antwan says only one of Tamika, Melissa and Oakley lies. Maya says Maverick tells the truth. Oakley says Oda lies. Vina says only one of Phoebe, Octavia and Oscar lies. Osric says Mina lies. Phoebe says exactly two of Shaunda, Muhammad and Mehran tells the truth. Do Audrie, Amberly, and Raymond tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:016", "request": "In this question, assume each person either always tells the truth or always lies. Jaxon is at the amusement park. The person at the farm says the person at the beach tells the truth. The person at the library says the person at the observatory tells the truth. Jake is at the airport. The person at the train station says the person at the farm lies. The person at the airport tells the truth. The person at the observatory lies. The person at the restaurant says the person at the ice skating rink tells the truth. Soren is at the beach. Max is at the farm. Hiroshi is at the skate park. The person at the restaurant thinks their friend is lying. Grace is at the ice skating rink. The person at the restaurant says the person at the observatory lies. The person at the amusement park lies. The person at the farm says the person at the park lies. Liam is at the planetarium. The person at the planetarium says the person at the farm lies. Devika is at the observatory. Elowen is at the train station. Ayaan is at the cafe. Nia is at the park. The person at the skate park lies. Luna is at the restaurant. Tala is at the library. The person at the farm says the person at the restaurant tells the truth. The person at the cafe says the person at the observatory tells the truth. The person at the observatory thinks their neighbor is telling the truth. Does the person at the farm tell the truth? Does the person at the restaurant tell the truth? Does the person at the observatory tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:018", "request": "In this question, assume each person either always tells the truth or always lies. The person at the city hall tells the truth. The person at the shopping mall lies. The person at the bowling alley says the person at the farm tells the truth. The person at the hotel thinks their neighbor is telling the truth. The person at the botanical garden says the person at the bowling alley lies. The person at the hotel says the person at the ice skating rink lies. Ryan is at the ice skating rink. Tala is at the bowling alley. Luna is at the farm. Jake is at the city hall. Grace is at the shopping mall. The person at the bowling alley says the person at the city hall tells the truth. Beatriz is at the hotel. Olivia is at the botanical garden. The person at the hotel says the person at the botanical garden lies. Does the person at the hotel tell the truth? Does the person at the botanical garden tell the truth? Does the person at the bowling alley tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:021", "request": "In this question, assume each person either always tells the truth or always lies. Tamika says exactly two of Willian, Mindy and Odysseus tells the truth. Maximilian says Martin tells the truth. Olaf says Mateo tells the truth. Conception says exactly one of Helene, Mason and Morgan tell the truth. Marina says Mina lies. Marcus says Maria lies. Phoebe says exactly one of Vina, Molly and Ozzie tells the truth.Orin says Megan tells the truth. Millie says Mona lies. Mehran says Oprah lies. Ryan says Bernita, Marshall and Marsha all tell the truth. Yoland lies. Antwan says Dallas lies. Orly says Oden tells the truth. Odysseus says Mindy lies. Mindy says Odysseus lies. Orson says Milo lies. Bernita says Elanor tells the truth. Osbert says Maxwell lies. Mason says Morgan lies. Minnie says Muhammad lies. Olga says Mona tells the truth. Vernell says Teressa lies. Jerry says only one of Alexis, Olga and Millie lies. Teressa says exactly two of Sal, Olivia and Matteo tell the truth. Marsha says Meadow lies. Miguel says Maya lies. Matteo says Olivia lies. Maria says Marcus lies. Octavio says Milo tells the truth. Fletcher says only one of Yoland, Octavio and Orson tells the truth. Rashida says exactly one of Shaunda, Minnie and Muhammad tell the truth. Oprah says Mehran lies. Muhammad says Minnie lies. Murray says Odile lies. Vina says only one of Shenna, Nicole and Murray lies. Dallas says either exactly two of Amberly, Orin and Megan tell the truth or none of them. Leda says exactly one of Jerry, Osbert and Maxwell tells the truth.Ozzie says Molly lies. Molly says Ozzie lies. Marshall says Meadow tells the truth. Jaymie says Antwan lies. Shaunda says either all three of Leda, Maximilian and Martin tell the truth or only one of them. Oda says Owyn lies. Alexis says either exactly two of Fletcher, Oden and Orly tell the truth or none of them. Maya says Miguel lies. Amberly says exactly one of Ryan, Marcus and Maria tells the truth.Owyn says Oda lies. Andree says Conception lies. Helene says either all three of Tamika, Mateo and Olaf lie, or two of them tell the truth. Olivia says Matteo lies. Mateo says Olaf tells the truth. Elanor says exactly one of Rashida, Owyn and Oda tells the truth.Martin says Maximilian tells the truth. Morgan says Mason lies. Sal says exactly two of Andree, Mehran and Oprah tell the truth. Maxwell says Osbert lies. Megan says Orin tells the truth. Nicole says Odile tells the truth. Obadiah says Mina tells the truth. Willian says exactly one of Phoebe, Miguel and Maya tell the truth. Shenna says only one of Jaymie, Obadiah and Marina lies. Oden says Orly tells the truth. Do Helene, Mateo, and Vernell tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:022", "request": "In this question, assume each person either always tells the truth or always lies. The person at the restaurant says the person at the hotel tells the truth. The person at the park says the person at the restaurant lies. The person at the library lies. The person at the farm says the person at the zoo lies. The person at the museum lies. Jake is at the cafe. Nadia is at the shopping mall. Farid is at the city hall. The person at the hotel says the person at the shopping mall tells the truth. The person at the zoo says the person at the botanical garden lies. The person at the cafe says the person at the barbershop tells the truth. The person at the bowling alley says the person at the restaurant lies. The person at the restaurant says the person at the theater tells the truth. The person at the museum saw a firetruck. Beatriz is at the hotel. The person at the park thinks their neighbor is telling the truth. The person at the museum says the person at the gym lies. Zara is at the gym. The person at the botanical garden says the person at the park tells the truth. The person at the hotel says the person at the cafe lies. The person at the barbershop thinks their friend is lying. Grace is at the museum. Maya is at the theater. The person at the zoo says the person at the beach tells the truth. Ayaan is at the library. Ethan is at the park. Elowen is at the barbershop. Tala is at the restaurant. Ryan is at the farm. The person at the city hall says the person at the farm tells the truth. Devika is at the beach. Max is at the bowling alley. Theo is at the zoo. The person at the barbershop says the person at the museum lies. Olivia is at the botanical garden. Does the person at the farm tell the truth? Does the person at the zoo tell the truth? Does the person at the botanical garden tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:024", "request": "In this question, assume each person either always tells the truth or always lies. Teressa says either exactly two of Sima, Melinda and Maxim tell the truth or none of them. Jerry says exactly one of Antwan, Orlando and Melanie tells the truth.Ollie says Oakleigh tells the truth. Octavia says Osborne lies. Inga says only one of Tamika, Uri and Maynard lies. Mustafa says Owyn tells the truth. Yoland says exactly one of Jerry, Mandy and Orla tell the truth. Ka says either exactly one of Sherrie, Ollie and Oakleigh tells the truth, or all three of them. Jim says only one of Ka, Millicent and Merlin lies. Octavian says Disha tells the truth. Delfina says only one of Dallas, Olive and Maybelle lies. Mary says Oda lies. Oakleigh says Ollie tells the truth. Shaunda says Bernita lies. Tamika says only one of Willian, Morgan and Murray lies. Oswald says Megan lies. Maxwell says Orhan tells the truth. Maxim says Melinda tells the truth. Millicent says Mina tells the truth. Helene lies. Melinda says Maxim tells the truth. Megan says Oswald lies. Shalonda says either all three of Sal, Maxwell and Orhan lie, or two of them tell the truth. Lalit says Obadiah tells the truth. Ozzy says Murphy lies. Jamey says Yoland tells the truth. Melody says Odysseus tells the truth. Antwan says either exactly one of Teressa, Octavian and Disha tells the truth, or all three of them. Uri says Miguel tells the truth. Maybelle says Ovid lies. Conception says Helene lies. Phoebe says Lorine lies. Onyx says Maria lies. Raymond says Shalonda tells the truth. Willian says Andree lies. Melvin says Ophelia lies. Odysseus says Melody tells the truth. Orhan says Maxwell tells the truth. Dallas says exactly two of Amberly, Oda and Mary tells the truth. Maria says Onyx lies. Andree says exactly one of Kandi, Onyx and Maria tells the truth.Ocean says Ophelia tells the truth. Maynard says Miguel lies. Bernita says exactly one of Jim, Ozzy and Murphy tells the truth.Osborn says Osborne tells the truth. Disha says Octavian tells the truth. Sima says only one of Delfina, Osborn and Octavia tells the truth. Orlando says Melanie lies. Olive says Ovid tells the truth. Amberly says only one of Inga, Lalit and Octavio lies. Owyn says Mustafa tells the truth. Kandi says either exactly two of Alexis, Mustafa and Owyn tell the truth or none of them. Octavio says Obadiah lies. Morgan says Natasha tells the truth. Sherrie says either exactly two of Conception, Odysseus and Melody tell the truth or none of them. Melanie says Orlando lies. Mandy says Orla lies. Murphy says Ozzy lies. Oda says Mary lies. Alexis says Raymond tells the truth. Sal says only one of Leda, Ocean and Melvin lies. Orla says Mandy lies. Murray says Natasha lies. Olaf says Monica lies. Monica says Olaf lies. Leda says exactly two of Shaunda, Megan and Oswald tells the truth. Merlin says Mina lies. Lorine says exactly one of Jamey, Monica and Olaf tells the truth.Do Dallas, Ovid, and Phoebe tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:027", "request": "In this question, assume each person either always tells the truth or always lies. Osvaldo says Onyx tells the truth. Melinda says Oscar tells the truth. Kandi says Conception tells the truth. Oswald says Hritik lies. Mohamed says Muhammad tells the truth. Alejandro says either exactly two of Antwan, Oda and Ophelia tell the truth or none of them. Jamey says exactly one of Shaunda, Moses and Miranda tells the truth.Olive says Octavio lies. Antwan says exactly one of Kristian, Mandy and Otis tells the truth.Odysseus says Mustafa lies. Alexis says exactly two of Teressa, Odysseus and Mustafa tell the truth. Micah says Octavius tells the truth. Miranda says Moses lies. Dallas lies. Shalonda says exactly two of Fletcher, Oswald and Hritik tells the truth. Ophelia says Oda tells the truth. Audrie says exactly one of Ryan, Olive and Octavio tells the truth.Oda says Ophelia tells the truth. Muhammad says Mohamed tells the truth. Hritik says Oswald lies. Fletcher says either exactly two of Ka, Octavius and Micah tell the truth or none of them. Octavio says Olive lies. Leda says either exactly one of Kandi, Onyx and Osvaldo tells the truth, or all three of them. Kristian says either exactly two of Christie, Melinda and Oscar tell the truth or none of them. Onyx says Osvaldo tells the truth. Ka says Leda lies. Owyn says Orlando tells the truth. Teressa says only one of Jamey, Maybelle and Oriana lies. Orla says Orlando lies. Moses says Miranda lies. Elanor says either exactly one of Shalonda, Muhammad and Mohamed tells the truth, or all three of them. Oriana says Muriel lies. Raymond says Audrie tells the truth. Otis says Mandy lies. Mandy says Otis lies. Odell says Miriam lies. Maynard says Kate lies. Nicole says Miriam tells the truth. Natasha says Matteo tells the truth. Oscar says Melinda tells the truth. Ryan says only one of Alejandro, Nicole and Odell lies. Christie says either all three of Elanor, Matteo and Natasha lie, or two of them tell the truth. Mustafa says Odysseus lies. Shaunda says exactly one of Raymond, Maynard and Kate tell the truth. Conception says Dallas tells the truth. Kate says Maynard lies. Willian says only one of Alexis, Owyn and Orla lies. Matteo says Natasha tells the truth. Maybelle says Muriel tells the truth. Octavius says Micah tells the truth. Do Antwan, Alejandro, and Willian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:031", "request": "In this question, assume each person either always tells the truth or always lies. Mustafa says Odile lies. Ozzie says McKenzie lies. Matteo says Olivia lies. Mariah says Minerva lies. Odessa says Oona tells the truth. Orhan says Octavia lies. Christie says Fletcher tells the truth. Owyn says Maxwell tells the truth. Dallas says exactly one of Sherrie, Orhan and Octavia tell the truth. Teressa says exactly two of Ryan, Otis and Disha tells the truth. Otis says Disha lies. Andree says Christie lies. McKenzie says Ozzie lies. Orla says Miller tells the truth. Othello says Olivia tells the truth. Kristian says only one of Kandi, Othello and Matteo tells the truth. Fletcher says Teressa lies. Mallory says Mason tells the truth. Odile says Mustafa lies. Elanor says Sal tells the truth. Miller says Orla tells the truth. Kandi says exactly one of Elanor, Odile and Mustafa tell the truth. Amberly tells the truth. Inga says either all three of Delbert, Orla and Miller tell the truth or only one of them. Ryan says Dallas tells the truth. Sal says either all three of Inga, Odessa and Oona tell the truth or only one of them. Alejandro says exactly two of Shaunda, Minerva and Mariah tells the truth. Mason says Mallory tells the truth. Ka says exactly two of Willian, McKenzie and Ozzie tells the truth. Maxwell says Owyn tells the truth. Oona says Odessa tells the truth. Minerva says Mariah lies. Shaunda says either exactly two of Kristian, Owyn and Maxwell tell the truth or none of them. Disha says Otis lies. Sherrie says Amberly tells the truth. Delbert says either all three of Andree, Mason and Mallory lie, or two of them tell the truth. Willian says Alejandro tells the truth. Octavia says Orhan lies. Do Willian, Kristian, and Ka tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:032", "request": "In this question, assume each person either always tells the truth or always lies. Jamey says exactly two of Jerry, Ophelia and Bahar tell the truth. Michelle says Madison lies. Melinda says Ollie tells the truth. Martin says Uri tells the truth. Jaymie says either exactly one of Shenna, Melissa and Miranda tells the truth, or all three of them. Delbert lies. Michaela says Othello lies. Madison says Michelle lies. Murphy says Onyx tells the truth. Maria says Lalit lies. Ryan says exactly two of Shalonda, Michael and Octavian tell the truth. Ka says only one of Andree, Melanie and Michaela lies. Shenna says exactly one of Antwan, Orhan and Oswin tell the truth. Odile says Maurice tells the truth. Lalit says Maria lies. Miguel says Octavia tells the truth. Alexis says only one of Ryan, Olive and Millie lies. Nicole says Uri lies. Andree says either all three of Jamey, Murphy and Onyx tell the truth or only one of them. Onyx says Murphy tells the truth. Gwenn says either all three of Jaymie, Octavia and Miguel lie, or two of them tell the truth. Melissa says Miranda tells the truth. Melanie says Othello tells the truth. Vernell says exactly two of Jim, Maria and Lalit tell the truth. Jerry says Elanor lies. Octavian says Michael lies. Miranda says Melissa tells the truth. Helene says exactly two of Sherrie, Michelle and Madison tell the truth. Amberly says either exactly two of Yoland, Natasha and Mercedes tell the truth or none of them. Mitchell says Odysseus lies. Elanor says exactly one of Gwenn, Mitchell and Odysseus tell the truth. Maurice says Odile tells the truth. Antwan says either all three of Alexis, Melinda and Ollie tell the truth or only one of them. Ollie says Melinda tells the truth. Millie says Megan lies. Octavia says Miguel tells the truth. Ophelia says Bahar lies. Orhan says Oswin lies. Sherrie says only one of Christie, Martin and Nicole lies. Michael says Octavian lies. Bahar says Ophelia lies. Natasha says Mercedes tells the truth. Christie says either all three of Vernell, Odile and Maurice tell the truth or only one of them. Odysseus says Mitchell lies. Oswin says Orhan lies. Yoland says Helene tells the truth. Mallory says Micah lies. Mercedes says Natasha tells the truth. Micah says Mallory lies. Olive says Megan tells the truth. Shalonda says Delbert lies. Jim says exactly two of Ka, Mallory and Micah tell the truth. Do Andree, Miguel, and Amberly tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:033", "request": "In this question, assume each person either always tells the truth or always lies. Octavian says Mavis tells the truth. Michael says Miriam lies. Osian says Martha tells the truth. Delfina says exactly two of Sima, Minnie and Mercedes tell the truth. Odile says Maxim lies. Disha says Oprah tells the truth. Orlando says Olive lies. Mateo says Martha lies. Andree says either all three of Delfina, Ollie and Moses tell the truth or only one of them. Shaunda says Rashida tells the truth. Minnie says Mercedes lies. Yoland says Gwenn tells the truth. Ka says either all three of Sherrie, Disha and Oprah tell the truth or only one of them. Moses says Ollie tells the truth. Rashida says exactly two of Inga, Odile and Maxim tell the truth. Raymond says Shaunda, Osian and Mateo all tell the truth. Inga tells the truth. Olive says Orlando lies. Willian says Raymond lies. Ollie says Moses tells the truth. Maxim says Odile lies. Maurice says Ocean tells the truth. Mavis says Octavian tells the truth. Alejandro says only one of Ka, Maurice and Oriana lies. Sherrie says either all three of Kristian, Mavis and Octavian lie, or two of them tell the truth. Mercedes says Minnie lies. Sima says only one of Alexis, Owen and Michael lies. Oprah says Disha tells the truth. Gwenn says exactly two of Alejandro, Orlando and Olive tell the truth. Alexis says Willian tells the truth. Owen says Miriam tells the truth. Kristian says Andree lies. Oriana says Ocean lies. Do Alejandro, Ka, and Yoland tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:034", "request": "In this question, assume each person either always tells the truth or always lies. The person at the barbershop lies. Isabella is at the observatory. The person at the gym says the person at the barbershop tells the truth. The person at the train station thinks their neighbor is telling the truth. The person at the hotel says the person at the train station lies. Olivia is at the gym. The person at the train station says the person at the observatory tells the truth. The person at the observatory saw a firetruck. Nadia is at the beach. The person at the observatory says the person at the city hall tells the truth. The person at the observatory says the person at the beach lies. Liam is at the city hall. Max is at the train station. The person at the school says the person at the observatory tells the truth. The person at the city hall says the person at the barbershop lies. Zara is at the school. Devika is at the hotel. Ryan is at the barbershop. Does the person at the train station tell the truth? Does the person at the observatory tell the truth? Does the person at the city hall tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:035", "request": "In this question, assume each person either always tells the truth or always lies. Ozzy says Octavius lies. Maurice says Oprah tells the truth. Octavio says Matthew tells the truth. Morris says Mina lies. Orion says Malcolm tells the truth. Orlando says Nicole tells the truth. Matthew says Octavio tells the truth. Mario says Miles tells the truth. Elanor says Bernita tells the truth. Marina says Maynard lies. Willian says exactly two of Jerry, Mina and Morris tells the truth. Amberly says exactly two of Gwenn, Oran and Millicent tell the truth. Onyx says Maya lies. Mitchell says Nishanth tells the truth. Miles says Mario tells the truth. Margaret says Minerva lies. Christie says exactly one of Fidel, Marina and Maynard tell the truth. Otis says Octavian tells the truth. Octavius says Ozzy lies. Olga says Oriana lies. Vina says Audrie tells the truth. Jerry says only one of Alexis, Maurice and Martin lies. Lorine says either exactly two of Conception, Octavian and Otis tell the truth or none of them. Conception says Ka tells the truth. Oran says Millicent lies. Bernita says either all three of Jaymie, Orion and Malcolm tell the truth or only one of them. Octavian says Otis tells the truth. Shalonda says exactly two of Lorine, Oriana and Olga tells the truth. Maya says Onyx lies. Teressa says exactly one of Andree, Ozzy and Octavius tells the truth.Michaela says Mustafa tells the truth. Sal says either exactly two of Rashida, Mario and Miles tell the truth or none of them. Mustafa says Michaela tells the truth. Molly says Nicole lies. Mina says Morris lies. Milton says Mercedes lies. Malcolm says Orion tells the truth. Alexis says either exactly two of Teressa, Michaela and Mustafa tell the truth or none of them. Ryan says exactly two of Shalonda, Onyx and Maya tells the truth. Andree says Jim, Orlando and Molly all tell the truth. Audrie says either exactly one of Ryan, Matthew and Octavio tells the truth, or all three of them. Shaunda says only one of Amberly, Melvin and Millie lies. Martin says Oprah lies. Jim says Vina lies. Raymond tells the truth. Ka says exactly one of Christie, Margaret and Minerva tells the truth.Jaymie says Raymond tells the truth. Mercedes says Milton lies. Oriana says Olga lies. Millie says Miller lies. Melvin says Miller tells the truth. Millicent says Oran lies. Nishanth says Mitchell tells the truth. Fidel says exactly two of Shaunda, Milton and Mercedes tell the truth. Maynard says Marina lies. Gwenn says Sal lies. Minerva says Margaret lies. Rashida says either all three of Elanor, Mitchell and Nishanth tell the truth or only one of them. Do Lorine, Christie, and Willian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:036", "request": "In this question, assume each person either always tells the truth or always lies. Audrie says either all three of Andree, Matthew and Mandy lie, or two of them tell the truth. Odile says Osric lies. Mateo says Ocean tells the truth. Mindy says Orla tells the truth. Milton says Maynard lies. Maurice says Olivia lies. Jerry says Gwenn tells the truth. Jim says only one of Willian, Oakley and Margaret lies. Octavio says Olivia tells the truth. Maybelle says Othello tells the truth. Moses says Oriana tells the truth. Ocean says Mateo tells the truth. Mandy says Matthew tells the truth. Maya says Maxim tells the truth. Kandi says either exactly one of Alejandro, Maybelle and Othello tells the truth, or all three of them. Margaret says Olympia lies. Kate says Ovid tells the truth. Mavis says Murray tells the truth. Tamika says exactly two of Shalonda, Osric and Odile tell the truth. Crista says only one of Jim, Hritik and Osborn tells the truth. Vina says either all three of Alexis, Murray and Mavis tell the truth or only one of them. Orin says Ovid lies. Delfina says Inga tells the truth. Olive says Maverick lies. Ka says Kristian, Mindy and Oleg all tell the truth. Dallas says exactly two of Rashida, Maverick and Olive tells the truth. Matthew says Mandy tells the truth. Gwenn says Dallas lies. Alejandro says Fidel lies. Inga says Leda tells the truth. Leda says Jerry, Kate and Orin all tell the truth. Alexis says either all three of Audrie, Oriana and Moses tell the truth or only one of them. Oriana says Moses tells the truth. Maverick says Olive lies. Amberly says Kandi lies. Osric says Odile lies. Andree says Fletcher, Octavio and Maurice all tell the truth. Marsha says Murphy tells the truth. Rashida says only one of Helene, Omar and Milton lies. Marcus says Maxim lies. Phoebe says either exactly two of Crista, Mateo and Ocean tell the truth or none of them. Helene says either exactly two of Tamika, Marsha and Murphy tell the truth or none of them. Kristian says only one of Vina, Maya and Marcus lies. Othello says Maybelle tells the truth. Murphy says Marsha tells the truth. Shalonda says Ka lies. Oleg says Orla lies. Fletcher says Phoebe lies. Osborn says Mehran lies. Oakley says Olympia tells the truth. Fidel says Delfina lies. Willian lies. Hritik says Mehran tells the truth. Omar says Maynard tells the truth. Murray says Mavis tells the truth. Do Ka, Rashida, and Amberly tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:037", "request": "In this question, assume each person either always tells the truth or always lies. Rashida says Yoland lies. Jim says either all three of Conception, Muriel and Natasha lie, or two of them tell the truth. Sal says exactly one of Gwenn, Mavis and Obadiah tells the truth.Alejandro says exactly two of Kandi, Murphy and Octavius tell the truth. Conception says exactly one of Alejandro, Mehran and Opal tell the truth. Mercedes says Miller tells the truth. Oda says Orin tells the truth. Ottoline says Sanket lies. Yoland says either all three of Vina, Ozzy and Orhan lie, or two of them tell the truth. Mina says Orin lies. Mehran says Opal lies. Murphy says Octavius lies. Mario says Millicent lies. Margaret says Otis lies. Opal says Mehran lies. Orhan says Ozzy tells the truth. Shaunda says Crista lies. Muriel says Natasha tells the truth. Millicent says Mario lies. Jamey says exactly two of Phoebe, Margaret and Otis tell the truth. Vina says Sal lies. Obadiah says Mavis lies. Oran says Miller lies. Kandi tells the truth. Crista says exactly two of Antwan, Mario and Millicent tells the truth. Antwan says exactly two of Rashida, Mackenzie and Miranda tells the truth. Gwenn says Fletcher, Mercedes and Oran all tell the truth. Ozzy says Orhan tells the truth. Natasha says Muriel tells the truth. Miranda says Mackenzie lies. Mavis says Obadiah lies. Fletcher says Jamey tells the truth. Maybelle says Sanket tells the truth. Octavius says Murphy lies. Mackenzie says Miranda lies. Shenna says only one of Shaunda, Maybelle and Ottoline lies. Phoebe says only one of Jim, Oda and Mina lies. Otis says Margaret lies. Do Antwan, Miranda, and Shenna tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:038", "request": "In this question, assume each person either always tells the truth or always lies. Owen says Mustafa lies. Nishanth says Mitchell tells the truth. Muriel says Odette tells the truth. Onyx says Mavis tells the truth. Lalit says Maria tells the truth. Maria says Lalit tells the truth. Kate says Octavia tells the truth. Octavian says Miles tells the truth. Osvaldo says Miles lies. Raymond says only one of Gwenn, Mark and Marty lies. Olive says Nicole lies. Octavia says Kate tells the truth. Marty says Mohamed lies. Jaymie says exactly one of Fletcher, Olive and Nicole tell the truth. Mickey says Melody tells the truth. Mark says Mohamed tells the truth. Crista says Vernell tells the truth. Tamika says either exactly one of Crista, Marlon and Mandy tells the truth, or all three of them. Ka says only one of Delbert, Mickey and Osian lies. Conception says either exactly one of Ka, Odette and Muriel tells the truth, or all three of them. Phoebe says either exactly two of Raymond, Octavia and Kate tell the truth or none of them. Vernell says either exactly one of Alejandro, Mavis and Onyx tells the truth, or all three of them. Delbert says Shenna lies. Sherrie says either all three of Phoebe, Minnie and Ocean lie, or two of them tell the truth. Mavis says Onyx tells the truth. Vina tells the truth. Mandy says Marlon tells the truth. Odette says Muriel tells the truth. Fletcher says Vina tells the truth. Christie says either exactly one of Tamika, Lalit and Maria tells the truth, or all three of them. Ocean says Minnie tells the truth. Marlon says Mandy tells the truth. Otis says Mustafa tells the truth. Ollie says Mitchell lies. Leda says only one of Conception, Nishanth and Ollie tells the truth. Gwenn says Christie lies. Shenna says only one of Sherrie, Octavian and Osvaldo lies. Alejandro says only one of Jaymie, Otis and Owen lies. Minnie says Ocean tells the truth. Nicole says Olive lies. Osian says Melody lies. Do Sherrie, Olive, and Leda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:041", "request": "In this question, assume each person either always tells the truth or always lies. Alejandro says either all three of Raymond, Morgan and Octavio lie, or two of them tell the truth. Melissa says Maximilian tells the truth. Shalonda says Jamey, Olivia and Orin all tell the truth. Crista says only one of Phoebe, Oswald and Morris tells the truth. Odin says Ollie lies. Miriam says Marina tells the truth. Madeleine says Orson tells the truth. Oswald says Obadiah tells the truth. Delfina says Shalonda tells the truth. Vernell says either all three of Antwan, Malcolm and Mary tell the truth or only one of them. Natasha says Murphy lies. Murphy says Natasha lies. Ollie says Odin lies. Owyn says Disha tells the truth. Lorine says either exactly two of Crista, Miriam and Marina tell the truth or none of them. Jamey says only one of Tamika, Odette and Milton lies. Margaret says Marty lies. Miles says Minnie tells the truth. Mario says Monica tells the truth. Fletcher says either exactly two of Amberly, Oakley and Molly tell the truth or none of them. Olivia says Mandy tells the truth. Oscar says Kate tells the truth. Matthew says Orhan lies. Orson says Madeleine tells the truth. Sal says exactly one of Fletcher, Murphy and Natasha tells the truth.Miller says Mallory tells the truth. Orla says Nicole tells the truth. Molly says Oakley tells the truth. Marina says Miriam tells the truth. Teressa says Yoland tells the truth. Amberly says exactly one of Sima, Marty and Margaret tells the truth.Muhammad says Maynard tells the truth. Milton says Olaf lies. Yoland says either exactly two of Alejandro, Mario and Monica tell the truth or none of them. Elanor says either all three of Ka, Melissa and Maximilian lie, or two of them tell the truth. Morgan says Octavio tells the truth. Maynard says Muhammad tells the truth. Malcolm says Mary tells the truth. Marty says Margaret lies. Oda says Kate lies. Tamika says exactly two of Fidel, Sanket and Octavian tell the truth. Audrie says either all three of Gwenn, Minnie and Miles tell the truth or only one of them. Raymond says exactly one of Willian, Orhan and Matthew tell the truth. Kristian says Inga tells the truth. Sima says either exactly one of Jim, Mallory and Miller tells the truth, or all three of them. Sanket says Octavian lies. Nicole says Orla tells the truth. Orin says Mandy lies. Fidel says exactly two of Sal, Madison and Millicent tell the truth. Mary says Malcolm tells the truth. Odette says Olaf tells the truth. Maximilian says Melissa tells the truth. Octavio says Morgan tells the truth. Phoebe says either exactly two of Audrie, Orla and Nicole tell the truth or none of them. Monica says Mario tells the truth. Ka says either exactly one of Kristian, Disha and Owyn tells the truth, or all three of them. Minnie says Miles tells the truth. Melinda says Odessa tells the truth. Morris says Obadiah lies. Inga says either exactly two of Ryan, Melinda and Odessa tell the truth or none of them. Oakley says Molly tells the truth. Gwenn says either all three of Delfina, Madeleine and Orson lie, or two of them tell the truth. Jim says only one of Teressa, Oscar and Oda lies. Orhan says Matthew lies. Octavian says Sanket lies. Willian says either all three of Vernell, Maynard and Muhammad tell the truth or only one of them. Antwan says exactly two of Elanor, Ollie and Odin tell the truth. Madison says Millicent lies. Disha says Owyn tells the truth. Ryan tells the truth. Mallory says Miller tells the truth. Millicent says Madison lies. Odessa says Melinda tells the truth. Do Shalonda, Audrie, and Lorine tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:044", "request": "In this question, assume each person either always tells the truth or always lies. Vina says either exactly two of Ka, Opal and Orly tell the truth or none of them. Nicole says Bahar tells the truth. Sal lies. Nishanth says Muhammad tells the truth. Ka says Jamey tells the truth. Elanor says Shenna lies. Miles says Osvaldo lies. Shenna says exactly two of Phoebe, Ophelia and Virginia tells the truth. Vernell says only one of Andree, Odysseus and Omar tells the truth. John says Martha tells the truth. Gwenn says either exactly one of Sima, Bahar and Nicole tells the truth, or all three of them. Audrie says Jim tells the truth. Melvin says Mallory tells the truth. Dallas says exactly one of Tamika, Miles and Osvaldo tell the truth. Jamey says Teressa lies. Miriam says Natasha lies. Opal says Orly tells the truth. Fidel says Conception, Melinda and Orla all tell the truth. Mateo says Obadiah tells the truth. Mackenzie says Molly tells the truth. Willian says exactly two of Dallas, Orson and Mitchell tells the truth. Bahar says Nicole tells the truth. Jim says exactly one of Willian, Octavius and Oprah tells the truth.Omar says Olaf lies. Monica says Mallory lies. Oona says Muhammad lies. Ozzie says Mina tells the truth. Oliver says Murray lies. Oprah says Octavius lies. Ollie says Maurice lies. Conception says Vernell tells the truth. Kristian says Amberly lies. Osvaldo says Miles lies. Odysseus says Olaf tells the truth. Mina says Ozzie tells the truth. Orla says Melissa lies. Alexis says exactly two of Vina, Miriam and Natasha tells the truth. Obadiah says Mateo tells the truth. Antwan says Sal tells the truth. Jaymie says only one of Gwenn, Melvin and Monica tells the truth. Molly says Mackenzie tells the truth. Shalonda says Fidel lies. Virginia says Ophelia lies. Raymond says Audrie lies. Mitchell says Orson lies. Phoebe says either exactly two of Kandi, Mateo and Obadiah tell the truth or none of them. Octavius says Oprah lies. Maurice says Ollie lies. Sima says either exactly one of Raymond, Ozzie and Mina tells the truth, or all three of them. Kandi says exactly two of Shaunda, Murray and Oliver tell the truth. Ophelia says Virginia lies. Teressa says either exactly one of Kristian, John and Martha tells the truth, or all three of them. Tamika says exactly two of Shalonda, Maurice and Ollie tell the truth. Natasha says Miriam lies. Amberly says only one of Antwan, Nishanth and Oona tells the truth. Andree says either exactly one of Alexis, Mackenzie and Molly tells the truth, or all three of them. Orly says Opal tells the truth. Murray says Oliver lies. Orson says Mitchell lies. Shaunda says Jaymie tells the truth. Martha says John tells the truth. Melinda says Melissa tells the truth. Do Fidel, Octavius, and Elanor tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:046", "request": "In this question, assume each person either always tells the truth or always lies. Milo says Marty tells the truth. Maverick says Martha tells the truth. Delfina says only one of Helene, Owen and Disha lies. Dallas says either exactly one of Rashida, Maurice and Oriana tells the truth, or all three of them. Opal says Otto lies. Alexis says exactly two of Amberly, Maynard and Megan tells the truth. Odette says Odin tells the truth. Mina says Maya lies. Minerva says Marty lies. Jerry says exactly one of Andree, Miles and Mariana tells the truth.Miles says Mariana lies. Tamika says either exactly one of Dallas, Odell and Maximilian tells the truth, or all three of them. Ryan says either exactly two of Delfina, Marvin and Marsha tell the truth or none of them. Lorine says only one of Ka, Hritik and Olga lies. Marcus says Murphy lies. Sherrie says exactly one of Alejandro, Osborn and Mohamed tell the truth. Sima says either exactly two of Jerry, Miller and Obadiah tell the truth or none of them. Osbert says Minnie lies. Disha says Margaret lies. Mavis says Orion tells the truth. Raymond says exactly one of Alexis, Maya and Mina tells the truth.Elanor says Kandi lies. Alejandro says only one of Ryan, Odile and Natasha tells the truth. Marvin says Marsha tells the truth. Olga says Ottoline lies. Bernita says either exactly one of Tamika, Mavis and Orion tells the truth, or all three of them. Fletcher says Jamey lies. Mariana says Miles lies. Otto says Opal lies. Octavius says Olivia lies. Oriana says Maurice tells the truth. Amberly says either exactly two of Conception, Odin and Odette tell the truth or none of them. Maximilian says Odell tells the truth. Maynard says Megan lies. Helene says Raymond tells the truth. Minnie says Osbert lies. Maurice says Oriana tells the truth. Odile says Melvin tells the truth. Conception says only one of Gwenn, Mark and Matthew lies. Monica says Olivia tells the truth. Kandi tells the truth. Matthew says Melanie lies. Inga says Lorine lies. Martha says Maverick tells the truth. Rashida says Shenna, Mona and Marcus all tell the truth. Jamey says Inga tells the truth. Ka says exactly two of Leda, Osbert and Minnie tell the truth. Odell says Maximilian tells the truth. Andree says only one of Elanor, Milo and Minerva lies. Megan says Maynard lies. Mohamed says Osborn lies. Maya says Mina lies. Mark says Melanie tells the truth. Obadiah says Miller tells the truth. Gwenn says only one of Vernell, Mike and Millie tells the truth. Vernell says either exactly one of Bernita, Maverick and Martha tells the truth, or all three of them. Miller says Obadiah tells the truth. Natasha says Melvin lies. Odin says Odette tells the truth. Osborn says Mohamed lies. Mike says Ocean tells the truth. Orion says Mavis tells the truth. Shenna says exactly two of Fletcher, Otto and Opal tell the truth. Millie says Ocean lies. Hritik says Ottoline tells the truth. Marsha says Marvin tells the truth. Crista says only one of Sherrie, Monica and Octavius lies. Leda says Sima lies. Owen says Margaret tells the truth. Mona says Murphy tells the truth. Do Rashida, Alexis, and Crista tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:047", "request": "In this question, assume each person either always tells the truth or always lies. Miles says Miranda tells the truth. Antwan says either all three of Helene, Miranda and Miles lie, or two of them tell the truth. Owen says Osian tells the truth. Octavio says Maurice tells the truth. Kristian says exactly two of Tamika, Melinda and Mitchell tells the truth. Oran says Mickey tells the truth. Mickey says Oran tells the truth. Milo says Malcolm tells the truth. Micah says Marty lies. Amberly tells the truth. Miranda says Miles tells the truth. Sherrie says only one of Kristian, Milo and Obadiah tells the truth. Ocean says Miguel tells the truth. Jamey says Ryan tells the truth. Uri says Virginia lies. Crista says either all three of Jamey, Mickey and Oran tell the truth or only one of them. Leda says exactly two of Sherrie, Opal and Milton tell the truth. Alejandro says only one of Phoebe, Millie and Melvin lies. Andree says Alexis lies. Opal says Milton lies. Marina says Marvin tells the truth. Muhammad says Lalit tells the truth. Lalit says Muhammad tells the truth. Odessa says Merlin lies. Millie says Kate tells the truth. Conception says either exactly one of Sal, Osian and Owen tells the truth, or all three of them. Phoebe says exactly one of Fletcher, Olive and Millicent tells the truth.Marvin says Marina tells the truth. Inga says Jaymie tells the truth. Jim says either all three of Crista, Ocean and Miguel tell the truth or only one of them. Matteo says Sanket lies. Jaymie says exactly two of Vernell, Mohamed and Marshall tells the truth. Obadiah says Malcolm lies. Millicent says Olive lies. Melvin says Kate lies. Ryan says either all three of Teressa, Odette and Margaret lie, or two of them tell the truth. Margaret says Odette tells the truth. Olive says Millicent lies. Miguel says Ocean tells the truth. Odette says Margaret tells the truth. Alexis says exactly two of Amberly, Uri and Virginia tell the truth. Marty says Micah lies. Helene says exactly two of Conception, Odessa and Merlin tells the truth. Mitchell says Melinda lies. Marshall says Mohamed lies. Osian says Owen tells the truth. Virginia says Uri lies. Vernell says either exactly two of Jim, Maurice and Octavio tell the truth or none of them. Milton says Opal lies. Melinda says Mitchell lies. Merlin says Odessa lies. Jerry says either all three of Alejandro, Muhammad and Lalit tell the truth or only one of them. Teressa says Jerry lies. Tamika says either exactly two of Antwan, Marvin and Marina tell the truth or none of them. Fletcher says exactly two of Andree, Micah and Marty tells the truth. Sal says only one of Inga, Ozzy and Matteo lies. Maurice says Octavio tells the truth. Mohamed says Marshall lies. Ozzy says Sanket tells the truth. Do Conception, Marty, and Leda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:052", "request": "In this question, assume each person either always tells the truth or always lies. Margaret says McKenzie tells the truth. Elanor says Shenna tells the truth. Orson says Oriana lies. Oliver says Maybelle lies. Shenna says either exactly one of Kristian, Mateo and Opal tells the truth, or all three of them. Crista says either all three of Delfina, Mona and Morris tell the truth or only one of them. Kristian says either exactly two of Crista, Odessa and Matteo tell the truth or none of them. Murray says Melanie lies. Ka says exactly one of Andree, Miller and Maynard tell the truth. Inga says either all three of Audrie, Owen and Virginia tell the truth or only one of them. Delfina tells the truth. Omar says Natasha tells the truth. Mike says Melanie tells the truth. McKenzie says Margaret tells the truth. Matteo says Odessa tells the truth. Jaymie says either exactly one of Antwan, Maria and Marina tells the truth, or all three of them. John says Ofelia tells the truth. Odessa says Matteo tells the truth. Andree says exactly two of Rashida, Orson and Oriana tell the truth. Sima says either exactly one of Sherrie, John and Ofelia tells the truth, or all three of them. Opal says Mateo tells the truth. Rashida says only one of Jim, Mike and Murray tells the truth. Natasha says Omar tells the truth. Maynard says Miller lies. Antwan says either exactly one of Sima, McKenzie and Margaret tells the truth, or all three of them. Virginia says Owen tells the truth. Jim says Elanor tells the truth. Ryan says Ka lies. Miller says Maynard lies. Mateo says Opal tells the truth. Odell says Maybelle tells the truth. Morris says Mona tells the truth. Sherrie says Inga, Odell and Oliver all tell the truth. Marina says Maria tells the truth. Audrie says Ryan tells the truth. Mona says Morris tells the truth. Ofelia says John tells the truth. Oriana says Orson lies. Owen says Virginia tells the truth. Helene says either all three of Jaymie, Omar and Natasha lie, or two of them tell the truth. Maria says Marina tells the truth. Do Sima, Audrie, and Helene tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:053", "request": "In this question, assume each person either always tells the truth or always lies. Nicole says Miller tells the truth. Dallas says Delfina tells the truth. Omar says Osric lies. Tamika says only one of Vernell, Max and Omar tells the truth. Gwenn says either all three of Jaymie, Osborn and Maximilian lie, or two of them tell the truth. Leda says exactly one of Teressa, Miguel and Obadiah tell the truth. Orlando says Orhan lies. Maurice says Melinda lies. Yoland tells the truth. Crista says either all three of Sherrie, Miller and Nicole lie, or two of them tell the truth. Delfina says either all three of Fletcher, Mina and Molly lie, or two of them tell the truth. Max says Osric tells the truth. Teressa says Gwenn tells the truth. Elanor says Tamika lies. Otto says Ozzie tells the truth. Oda says Miriam tells the truth. Murphy says Olive tells the truth. Olive says Murphy tells the truth. Megan says Odette lies. Orhan says Orlando lies. Inga says exactly two of Delbert, Maurice and Melinda tell the truth. Mohamed says Muhammad lies. Miguel says Obadiah lies. Obadiah says Miguel lies. Fletcher says either exactly two of Alexis, Otto and Ozzie tell the truth or none of them. Vernell says either exactly one of Raymond, Olive and Murphy tells the truth, or all three of them. Mina says Molly tells the truth. Odette says Megan lies. Miller says Nicole tells the truth. Sanket says Muhammad tells the truth. Miriam says Oda tells the truth. Osborn says Maximilian tells the truth. Olympia says Osbert tells the truth. Alexis says exactly two of Sima, Minnie and Hritik tell the truth. Sal says Yoland lies. Minnie says Hritik lies. Hritik says Minnie lies. Morris says Maxim tells the truth. Melinda says Maurice lies. Odessa says Ottoline tells the truth. Jaymie says either exactly two of Inga, Oda and Miriam tell the truth or none of them. Raymond says exactly one of Dallas, Odette and Megan tell the truth. Ottoline says Odessa tells the truth. Sima says only one of Sal, Sanket and Mohamed tells the truth. Delbert says either all three of Crista, Odessa and Ottoline tell the truth or only one of them. Sherrie says either exactly one of Andree, Osbert and Olympia tells the truth, or all three of them. Andree says either exactly one of Elanor, Maxim and Morris tells the truth, or all three of them. Ozzie says Otto tells the truth. Kristian says exactly two of Leda, Orhan and Orlando tells the truth. Maxim says Morris tells the truth. Molly says Mina tells the truth. Osbert says Olympia tells the truth. Maximilian says Osborn tells the truth. Do Jaymie, Elanor, and Kristian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:054", "request": "In this question, assume each person either always tells the truth or always lies. Lorine says either exactly one of Kandi, Olivia and Martin tells the truth, or all three of them. Jaymie says exactly two of Shaunda, Mason and Uri tells the truth. Audrie says only one of Ryan, Mickey and Nishanth lies. Vernell says either all three of Raymond, Millie and Miller lie, or two of them tell the truth. Nicole says Maximilian lies. Mia says Max lies. Rashida says exactly two of Antwan, Oscar and Meredith tells the truth. Osborne says Minerva tells the truth. Oden says John tells the truth. Millie says Miller tells the truth. Misty says Maximilian tells the truth. Mariah says Mitchell tells the truth. Gwenn says only one of Vina, Melvin and Mina lies. Maria says Milo tells the truth. Mickey says Oriana tells the truth. Jerry says only one of Vernell, Osric and Ozzie lies. Yoland says only one of Christie, Maria and Oswald tells the truth. Osbert says Meadow tells the truth. Meadow says Osbert tells the truth. Shenna says either exactly one of Rashida, Mitchell and Mariah tells the truth, or all three of them. Meredith says Oscar lies. Uri says Mason lies. Orion says Disha lies. Octavio says Kate lies. Conception says Willian, Opal and Morgan all tell the truth. Maya says Minerva lies. Mallory says Ozzy lies. Mitchell says Mariah tells the truth. Mason says Uri lies. Morgan says Marty lies. Sal says either all three of Audrie, Hritik and Maxwell tell the truth or only one of them. Ozzie says Oakley lies. Oscar says Meredith lies. Osric says Oakley tells the truth. Raymond says exactly two of Shenna, Mia and Max tells the truth. Oda says Marsha lies. Willian says exactly one of Inga, Osvaldo and Odette tells the truth.Alejandro says Sima tells the truth. Odette says Osvaldo lies. Christie says Alejandro, Moses and Maynard all tell the truth. Hritik says Maxwell tells the truth. Opal says Marty tells the truth. Madison says John lies. Malcolm says Oakleigh tells the truth. Melanie says Orlando lies. Miller says Millie tells the truth. Ka says Sal, Murray and Orion all tell the truth. Maxwell says Hritik tells the truth. Olivia says Martin tells the truth. Max says Mia lies. Sima says Gwenn tells the truth. Kandi says only one of Crista, Oden and Madison lies. Oswald says Milo lies. Shaunda says Yoland, Mohamed and Oda all tell the truth. Jim says only one of Lorine, Matthew and Melanie lies. Antwan says only one of Kristian, Osborne and Maya lies. Mohamed says Marsha tells the truth. Maynard says Maybelle lies. Vina says either all three of Andree, Malcolm and Oakleigh tell the truth or only one of them. Nishanth says Oriana lies. Melvin says Mindy tells the truth. Kate says Octavio lies. Teressa says either all three of Jerry, Meadow and Osbert tell the truth or only one of them. Martin says Olivia tells the truth. Murray says Disha tells the truth. Moses says Maybelle tells the truth. Mina says Mindy lies. Osvaldo says Odette lies. Kristian lies. Ozzy says Mallory lies. Inga says only one of Jaymie, Misty and Nicole lies. Matthew says Orlando tells the truth. Andree says exactly two of Teressa, Kate and Octavio tell the truth. Ryan says exactly one of Conception, Mallory and Ozzy tells the truth.Oakleigh says Malcolm tells the truth. Crista says Ka tells the truth. Do Audrie, Inga, and Jim tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:055", "request": "In this question, assume each person either always tells the truth or always lies. Orla says Maybelle tells the truth. Mia says Natasha lies. Mickey says Margaret tells the truth. Amberly says either all three of Delbert, Margaret and Mickey lie, or two of them tell the truth. Misty says Osian tells the truth. Matthew says Osian lies. Octavian says Maverick lies. Octavius says Muhammad tells the truth. Mackenzie says Oakleigh lies. Raymond says Vina lies. Olaf says Olga tells the truth. Mariana says Natasha tells the truth. Muhammad says Octavius tells the truth. Osbert says Ozzie lies. Olga says Olaf tells the truth. Leda says either all three of Jaymie, Olga and Olaf tell the truth or only one of them. Elanor says exactly two of Kandi, Melody and Oswin tell the truth. Maxwell says Molly tells the truth. Antwan says only one of Alexis, Owyn and Maynard tells the truth. Delbert says exactly one of Leda, Maverick and Octavian tell the truth. Yoland says either exactly two of Fletcher, Onyx and Millicent tell the truth or none of them. Maynard says Oprah lies. Ozzie says Osbert lies. Maybelle says Orla tells the truth. Maverick says Octavian lies. Margaret says Mickey tells the truth. Tamika says either all three of Antwan, Mehran and Olympia tell the truth or only one of them. Kandi says Yoland lies. Oakleigh says Mackenzie lies. Oswin says Melody lies. Shalonda says exactly two of Elanor, Mackenzie and Oakleigh tell the truth. Olympia says Mehran tells the truth. Alexis says either exactly two of Sal, Orla and Maybelle tell the truth or none of them. Fletcher says exactly two of Teressa, Osbert and Ozzie tell the truth. Millicent says Onyx tells the truth. Teressa tells the truth. Owyn says Oprah tells the truth. Melody says Oswin lies. Helene says Shalonda, Misty and Matthew all tell the truth. Michaela says Molly lies. Onyx says Millicent tells the truth. Vina says either exactly one of Helene, Muhammad and Octavius tells the truth, or all three of them. Sal says only one of Raymond, Maxwell and Michaela lies. Jaymie says only one of Tamika, Mariana and Mia lies. Mehran says Olympia tells the truth. Do Alexis, Antwan, and Amberly tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:056", "request": "In this question, assume each person either always tells the truth or always lies. Phoebe says only one of Shaunda, Orlando and Mandy lies. Oona says Ollie tells the truth. Orlando says Margaret tells the truth. Morris says Hritik tells the truth. Conception says either all three of Alexis, Oliver and Odette tell the truth or only one of them. Delfina says either all three of Conception, Melinda and Kate tell the truth or only one of them. Mehran says Miles tells the truth. Oleg says Oakley tells the truth. Ocean says Melissa lies. Helene says only one of Kandi, Moses and Ocean lies. Jaymie says either exactly one of Fletcher, Morris and Hritik tells the truth, or all three of them. Meadow says Millicent lies. Sherrie says Jim tells the truth. Maynard says Mohamed tells the truth. Jim says either all three of Elanor, Mohamed and Maynard tell the truth or only one of them. Crista says only one of Sherrie, Mavis and Matteo lies. Yoland says Jaymie tells the truth. Amberly says exactly two of Rashida, Meadow and Millicent tells the truth. Mona says Misty lies. Martin says Olaf tells the truth. Raymond says exactly one of Vina, Mercedes and Sanket tell the truth. Otto says Orhan lies. Fletcher says only one of Jerry, Odell and Mona lies. Sanket says Mercedes lies. Vina says Vernell lies. Murray says Owen lies. Millicent says Meadow lies. Ka says exactly two of Bernita, Orhan and Otto tell the truth. Delbert says exactly two of Shenna, Mariana and Monica tell the truth. Mohamed says Maynard tells the truth. Oprah says Olaf lies. Rashida says Delfina lies. Monica says Mariana lies. Bernita says either all three of Amberly, Miles and Mehran lie, or two of them tell the truth. Jerry says Delbert, Olympia and Micah all tell the truth. Mickey says Osbert tells the truth. Mandy says Margaret lies. Lalit says Opal tells the truth. Owen says Murray lies. Orhan says Otto lies. Hritik says Morris tells the truth. Melinda says Kate tells the truth. Shenna says only one of Raymond, Martin and Oprah tells the truth. Kandi lies. Olympia says Mary tells the truth. Oswin says Opal lies. Micah says Mary lies. Oliver says Odette tells the truth. Maurice says Ollie lies. Mavis says Mariah tells the truth. Osbert says Mickey tells the truth. Moses says Melissa tells the truth. Miles says Mehran tells the truth. Shaunda says either exactly two of Crista, Mickey and Osbert tell the truth or none of them. Odell says Misty tells the truth. Matteo says Mariah lies. Kate says Melinda tells the truth. Mercedes says Sanket lies. Alejandro says Yoland lies. Oakley says Oleg tells the truth. Odette says Oliver tells the truth. Mariana says Monica lies. Alexis says only one of Phoebe, Lalit and Oswin tells the truth. Elanor says exactly one of Teressa, Owen and Murray tells the truth.Teressa says Alejandro, Oona and Maurice all tell the truth. Vernell says either exactly one of Helene, Oleg and Oakley tells the truth, or all three of them. Do Delfina, Crista, and Ka tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:057", "request": "In this question, assume each person either always tells the truth or always lies. Maxim says Oda lies. Mohamed says Octavio lies. Sima says exactly one of Lorine, Odysseus and Kate tell the truth. Michaela says Max tells the truth. Phoebe says Dallas tells the truth. Inga says exactly one of Jim, Ozzie and Lalit tells the truth.Rashida says only one of Gwenn, Odette and Ollie lies. Jaymie says either exactly two of Yoland, Maybelle and Olive tell the truth or none of them. Maybelle says Olive tells the truth. Mark says Merlin lies. Christie says exactly two of Elanor, Mohamed and Octavio tells the truth. Alejandro lies. Ozzie says Lalit lies. Yoland says exactly one of Christie, Maverick and Octavian tells the truth.Raymond says Jaymie lies. Odysseus says Kate lies. Ka says exactly one of Inga, Melissa and Molly tell the truth. Lorine says exactly one of Fidel, Oliver and Marsha tells the truth.Olga says Mustafa tells the truth. Shaunda says Phoebe lies. Bernita says Kandi lies. Gwenn says exactly one of Shaunda, Mark and Merlin tells the truth.Nishanth says Oda tells the truth. Olive says Maybelle tells the truth. Helene says Jamey tells the truth. Odette says Monica tells the truth. McKenzie says Mustafa lies. Oliver says Marsha lies. Marsha says Oliver lies. Audrie says Helene, Oscar and Morgan all tell the truth. Fidel says exactly two of Audrie, Maximilian and Miguel tells the truth. Melissa says Molly lies. Mason says Osvaldo tells the truth. Maverick says Octavian lies. Elanor says Willian lies. Millie says Osborne lies. Osvaldo says Mason tells the truth. Delbert says only one of Sima, Michaela and Marshall tells the truth. Fletcher says Bernita lies. Mandy says Obadiah lies. Octavio says Mohamed lies. Miguel says Maximilian lies. Kristian says Antwan lies. Willian says only one of Delbert, Nishanth and Maxim lies. Lalit says Ozzie lies. Oden says Obadiah tells the truth. Sal says Alejandro lies. Dallas says exactly one of Ka, Millie and Osborne tells the truth.Jamey says Rashida tells the truth. Kandi says Raymond, Olga and McKenzie all tell the truth. Morgan says Odell lies. Octavian says Maverick lies. Osborne says Millie lies. Shalonda says Fletcher tells the truth. Marshall says Max lies. Maximilian says Miguel lies. Kate says Odysseus lies. Vernell says either exactly two of Kristian, Mason and Osvaldo tell the truth or none of them. Jim says Vernell tells the truth. Ollie says Monica lies. Oscar says Odell tells the truth. Antwan says Sal, Oden and Mandy all tell the truth. Merlin says Mark lies. Molly says Melissa lies. Do Lorine, Miguel, and Shalonda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:060", "request": "In this question, assume each person either always tells the truth or always lies. Oriana says McKenzie lies. Muriel says Mallory lies. McKenzie says Oriana lies. Phoebe says exactly one of Shenna, Murphy and Odin tells the truth.Conception says exactly two of Tamika, Oriana and McKenzie tells the truth. Martin says Osian tells the truth. Miriam says Ozzie tells the truth. Willian says Bernita lies. Inga says exactly two of Willian, Mallory and Muriel tells the truth. Jamey says Sima tells the truth. Ottoline says Osian lies. Fletcher says Phoebe tells the truth. Crista lies. Bernita says Lorine tells the truth. Amberly says either exactly one of Vina, Melvin and Oona tells the truth, or all three of them. Sima says only one of Conception, Martin and Ottoline tells the truth. Oona says Melvin tells the truth. Maya says Ozzy tells the truth. Tamika says either exactly two of Antwan, Ozzie and Miriam tell the truth or none of them. Kristian says Jamey tells the truth. Odin says Murphy lies. Melvin says Oona tells the truth. Lorine says either all three of Kristian, Maya and Ozzy tell the truth or only one of them. Vina says Inga tells the truth. Ozzie says Miriam tells the truth. Antwan says Fletcher tells the truth. Ozzy says Maya tells the truth. Mallory says Muriel lies. Jerry says Crista tells the truth. Murphy says Odin lies. Shenna says Jerry tells the truth. Do Lorine, Martin, and Amberly tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:061", "request": "In this question, assume each person either always tells the truth or always lies. Anika is at the shopping mall. The person at the museum says the person at the botanical garden lies. The person at the farm says the person at the botanical garden tells the truth. The person at the aquarium says the person at the museum lies. The person at the observatory lies. Charlie is at the farm. The person at the campground says the person at the vineyard lies. The person at the park says the person at the skate park lies. The person at the aquarium says the person at the theater tells the truth. Elowen is at the observatory. The person at the botanical garden says the person at the amusement park lies. Liam is at the park. The person at the vineyard saw a firetruck. The person at the botanical garden says the person at the shopping mall tells the truth. Priya is at the amusement park. The person at the movie theater tells the truth. Tala is at the zoo. Luna is at the campground. The person at the planetarium says the person at the park lies. Hiroshi is at the botanical garden. The person at the bookstore says the person at the planetarium lies. The person at the barbershop says the person at the park lies. Jaxon is at the aquarium. The person at the vineyard says the person at the aquarium lies. Maya is at the planetarium. The person at the train station says the person at the park lies. Devika is at the vineyard. The person at the zoo lies. Nadia is at the hotel. Theo is at the theater. Ryan is at the bookstore. Mateo is at the skate park. The person at the skate park says the person at the campground lies. Kehinde is at the barbershop. The person at the bowling alley says the person at the museum lies. Farid is at the movie theater. Ethan is at the train station. The person at the skate park thinks their neighbor is telling the truth. The person at the amusement park lies. Quan is at the bowling alley. Max is at the museum. The person at the hotel tells the truth. Does the person at the planetarium tell the truth? Does the person at the park tell the truth? Does the person at the skate park tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:063", "request": "In this question, assume each person either always tells the truth or always lies. Mehran says Marvin tells the truth. Raymond says either all three of Sal, Maynard and Mustafa lie, or two of them tell the truth. Dallas says Jerry tells the truth. Amberly says Fletcher lies. Odysseus says Matteo lies. Jim says Rashida lies. Virginia says Max tells the truth. Lalit says Mitchell lies. Marvin says Mehran tells the truth. Sima says either all three of Kandi, Mehran and Marvin lie, or two of them tell the truth. Minerva says Orla tells the truth. Audrie says exactly one of Tamika, Lalit and Mitchell tells the truth.Melanie says Mark tells the truth. Inga says exactly one of Conception, Octavian and Osborne tells the truth.Osvaldo says Olga lies. Mustafa says Maynard tells the truth. Mark says Melanie tells the truth. Mitchell says Lalit lies. Odessa says Maya tells the truth. Tamika says Helene tells the truth. Octavian says Osborne lies. Matthew says Morris lies. Orla says Minerva tells the truth. Conception says Audrie, Odessa and Miguel all tell the truth. Jerry says exactly two of Vernell, Odysseus and Matteo tell the truth. Elanor says Alejandro lies. Morris says Matthew lies. Mandy says Marina tells the truth. Osborne says Octavian lies. Miguel says Maya lies. Matteo says Odysseus lies. Helene says Jim tells the truth. Maynard says Mustafa tells the truth. Marina says Mandy tells the truth. Delfina says either all three of Fidel, Mark and Melanie lie, or two of them tell the truth. Gwenn says Elanor lies. Teressa says Delbert tells the truth. Kandi says exactly one of Andree, Morris and Matthew tell the truth. Delbert says exactly one of Amberly, Oscar and Ophelia tells the truth.Andree says Delfina tells the truth. Rashida says Teressa tells the truth. Fletcher says either all three of Dallas, Virginia and Max tell the truth or only one of them. Vernell tells the truth. Alejandro says exactly one of Raymond, Olga and Osvaldo tell the truth. Oscar says Ophelia lies. Ophelia says Oscar lies. Sal says either exactly two of Inga, Marina and Mandy tell the truth or none of them. Max says Virginia tells the truth. Olga says Osvaldo lies. Fidel says either exactly one of Gwenn, Minerva and Orla tells the truth, or all three of them. Do Delfina, Tamika, and Sima tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:065", "request": "In this question, assume each person either always tells the truth or always lies. Lorine says exactly one of Elanor, Miranda and Miller tells the truth.Bahar says Ozias lies. Morris says Octavius tells the truth. Marcus says Misty tells the truth. Shalonda says Vernell tells the truth. Vernell says Audrie, Omar and Osborn all tell the truth. Oswin says Maverick lies. Mia says Oona lies. Elanor says exactly one of Jamey, Oda and Mateo tell the truth. Sherrie says only one of Raymond, Milo and Ocean tells the truth. Crista says only one of Vina, Mike and Octavio tells the truth. Rashida lies. Odell says Margaret tells the truth. Octavius says Morris tells the truth. Audrie says Antwan lies. Mallory says Mitchell lies. Alejandro says only one of Jerry, Millicent and Mario lies. Andree says exactly two of Sal, Mina and Oakleigh tell the truth. Ocean says Miguel lies. Miriam says Molly lies. Marvin says Oran tells the truth. Michael says Minnie lies. Oda says Mateo lies. Mitchell says Mallory lies. Kandi says only one of Jaymie, Otto and Michael lies. Mario says Odysseus lies. Melody says Oona tells the truth. Conception says only one of Crista, Osric and Miriam lies. Madison says Matthew tells the truth. Vina says Kandi, Marcus and Michaela all tell the truth. Maxim says Mohamed lies. Kristian says only one of Rashida, Miles and Maxim lies. Virginia says Othello lies. Leda says only one of Alejandro, Melody and Mia lies. Dallas says either all three of Andree, Morris and Octavius tell the truth or only one of them. Phoebe says Fletcher lies. Meredith says Mustafa tells the truth. Orhan says Muhammad lies. Shenna says exactly one of Amberly, Muhammad and Orhan tell the truth. Mike says Osbert tells the truth. Minerva says Matthew lies. Maverick says Oswin lies. Omar says Mehran tells the truth. Otto says Minnie tells the truth. Miles says Mohamed tells the truth. Osborn says Mehran lies. Othello says Virginia lies. Orin says Ozias tells the truth. Michaela says Misty lies. Muhammad says Orhan lies. Delfina says exactly one of Jim, Oswin and Maverick tells the truth.Antwan says only one of Leda, Marvin and Oliver lies. Sal says Kristian lies. Fidel says only one of Sherrie, Orin and Bahar lies. Mateo says Oda lies. Raymond says Lorine, Odell and Morgan all tell the truth. Octavio says Osbert lies. Jim says either exactly one of Phoebe, Martha and Octavian tells the truth, or all three of them. Amberly says either all three of Conception, Meredith and Mustafa tell the truth or only one of them. Fletcher says only one of Shenna, Madison and Minerva tells the truth. Milo says Miguel tells the truth. Jerry says exactly one of Fidel, Othello and Virginia tell the truth. Osric says Molly tells the truth. Oakleigh says Mina lies. Morgan says Margaret lies. Jaymie says exactly one of Shalonda, Mallory and Mitchell tells the truth.Miller says Miranda lies. Oliver says Oran lies. Martha says Octavian tells the truth. Mustafa says Meredith tells the truth. Jamey says either all three of Dallas, Melissa and John tell the truth or only one of them. Melissa says John tells the truth. Miranda says Miller lies. Mina says Oakleigh lies. Octavian says Martha tells the truth. John says Melissa tells the truth. Millicent says Odysseus tells the truth. Do Conception, Amberly, and Delfina tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:068", "request": "In this question, assume each person either always tells the truth or always lies. Osborn says Maxwell lies. Sal says exactly two of Vina, Michael and Odell tells the truth. Rashida says either all three of Tamika, Oswald and Mavis lie, or two of them tell the truth. Crista says either all three of Rashida, Marvin and Maybelle tell the truth or only one of them. Uri says Molly tells the truth. Phoebe says Fidel lies. Olivia says Meredith lies. Marvin says Maybelle tells the truth. Orhan says Onyx lies. Miller says Odile tells the truth. Lorine lies. Oswald says Mavis tells the truth. Odile says Miller tells the truth. Misty says Osmond lies. Andree says only one of Kristian, Orson and Micah lies. Osmond says Misty lies. Miriam says Olaf lies. Christie says exactly one of Delbert, Marshall and Oden tells the truth.Obadiah says Marina tells the truth. Ottoline says Milo tells the truth. Shalonda says Sherrie lies. Vina says Gwenn lies. Marina says Obadiah tells the truth. Ozzy says Mario tells the truth. Jaymie says exactly two of Andree, Meredith and Olivia tell the truth. Gwenn says exactly two of Christie, Miguel and Osborne tell the truth. Odell says Michael lies. Oscar says Molly lies. Maybelle says Marvin tells the truth. Oden says Marshall lies. Orin says Maxwell tells the truth. Miguel says Osborne lies. Micah says Ocean lies. Marshall says Oden lies. Tamika says Shalonda, Ozzy and Max all tell the truth. Delbert says Fletcher tells the truth. Meredith says Olivia lies. Audrie says either exactly two of Dallas, Miller and Odile tell the truth or none of them. Jamey says only one of Crista, Orin and Osborn lies. Mavis says Oswald tells the truth. Fidel says only one of Sal, Melissa and Orhan lies. Milo says Ottoline tells the truth. Max says Mario lies. Fletcher says either exactly two of Jaymie, Ottoline and Milo tell the truth or none of them. Melissa says Onyx tells the truth. Dallas says only one of Phoebe, Uri and Oscar lies. Olaf says Miriam lies. Sherrie says exactly two of Audrie, Olaf and Miriam tells the truth. Orson says Ocean tells the truth. Osborne says Miguel lies. Michael says Odell lies. Kristian says either all three of Leda, Marina and Obadiah lie, or two of them tell the truth. Leda says exactly two of Lorine, Misty and Osmond tells the truth. Do Tamika, Phoebe, and Jamey tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:073", "request": "In this question, assume each person either always tells the truth or always lies. Sima says only one of Teressa, Maria and Maverick lies. Sal says exactly one of Conception, Mia and Orin tell the truth. Odell says Onyx lies. Teressa says Sal tells the truth. Mandy says Madeleine lies. Michael says Osric tells the truth. Hritik says Virginia lies. Andree lies. Leda says Kristian, Oda and Otis all tell the truth. Maverick says Martin lies. Odin says Orly tells the truth. Elanor says exactly two of Amberly, Odessa and Nicole tell the truth. Ryan says either exactly two of Vernell, Michael and Osric tell the truth or none of them. Maria says Martin tells the truth. Miles says Odile tells the truth. Mariana says Osian lies. Kristian says either all three of Alexis, Odin and Orly tell the truth or only one of them. Nicole says Odessa lies. Jamey says exactly two of Sima, Ozzy and Mina tells the truth. Inga says exactly two of Delbert, Odell and Onyx tell the truth. Mina says Ozzy lies. Maxwell says Morris tells the truth. Mark says Megan lies. Oswald says Mariah lies. Orly says Odin tells the truth. Amberly says exactly two of Yoland, Mark and Megan tell the truth. Morris says Maxwell tells the truth. Mia says Orin lies. Osian says Mariana lies. Osborne says McKenzie tells the truth. Osric says Michael tells the truth. Conception says only one of Elanor, Millie and Hritik lies. Madeleine says Mandy lies. Oda says Marsha tells the truth. Millie says Virginia tells the truth. Rashida says exactly two of Vina, Mariah and Oswald tells the truth. Onyx says Odell lies. Ozzy says Mina lies. Odessa says Nicole lies. Odile says Miles tells the truth. Vina says exactly one of Crista, Madeleine and Mandy tell the truth. Delbert says only one of Sherrie, Osborne and Olive lies. Vernell says only one of Andree, Marvin and Oona tells the truth. Christie says Ryan tells the truth. Alexis says exactly one of Rashida, Osian and Mariana tells the truth.Sherrie says either all three of Jamey, Maxwell and Morris lie, or two of them tell the truth. Marvin says Uri tells the truth. Crista says Inga tells the truth. Oona says Uri lies. Otis says Marsha lies. Mariah says Oswald lies. Olive says McKenzie lies. Megan says Mark lies. Orin says Mia lies. Yoland says either all three of Christie, Odile and Miles lie, or two of them tell the truth. Do Kristian, Inga, and Leda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:074", "request": "In this question, assume each person either always tells the truth or always lies. Mehran says Osian lies. Kristian says exactly two of Shenna, Disha and Martha tell the truth. Melody says Mona lies. Conception says Crista tells the truth. Oprah says Nishanth lies. Shalonda says Bernita, Orson and Sanket all tell the truth. Jaymie says only one of Kristian, Maya and Odell lies. Tamika says exactly one of Alejandro, Odysseus and Bahar tell the truth. Vernell says exactly one of Shaunda, Mona and Melody tell the truth. Delfina says exactly two of Jamey, McKenzie and Odessa tells the truth. Bahar says Odysseus lies. Osborn says Muriel tells the truth. Miriam says Nishanth tells the truth. Osian says Mehran lies. Oscar says Merlin lies. Mohamed says Mercedes tells the truth. Osvaldo says Oona lies. Odell says Ozias lies. Mona says Melody lies. Maya says Ozias tells the truth. Jamey says Gwenn lies. Odysseus says Bahar lies. Bernita tells the truth. Shaunda says either all three of Andree, Mercedes and Mohamed lie, or two of them tell the truth. Andree says only one of Delfina, Miriam and Oprah lies. Merlin says Oscar lies. Shenna says only one of Shalonda, Mustafa and Martin tells the truth. Lorine says Vernell lies. Martha says Disha lies. Martin says Mandy lies. Orson says Morgan tells the truth. Christie says only one of Rashida, Millicent and Micah tells the truth. Mercedes says Mohamed tells the truth. Crista says exactly two of Christie, Osian and Mehran tell the truth. Inga says exactly two of Teressa, Oona and Osvaldo tell the truth. Teressa says Tamika lies. Odessa says McKenzie lies. Rashida says exactly one of Jaymie, Merlin and Oscar tell the truth. Disha says Martha lies. Millicent says Octavio tells the truth. Muriel says Osborn tells the truth. Mustafa says Mandy tells the truth. Micah says Octavio lies. McKenzie says Odessa lies. Gwenn says Inga tells the truth. Oona says Osvaldo lies. Alejandro says either all three of Conception, Osborn and Muriel tell the truth or only one of them. Sanket says Morgan lies. Do Inga, Shaunda, and Lorine tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:075", "request": "In this question, assume each person either always tells the truth or always lies. Antwan says exactly one of Delfina, Moses and Opal tells the truth.Odile says Olga lies. Teressa says either exactly two of Leda, Osian and Octavia tell the truth or none of them. Octavia says Osian tells the truth. Olive says Olympia lies. Nishanth says Owyn tells the truth. Jaymie says either exactly two of Kristian, Nishanth and Owyn tell the truth or none of them. Osvaldo says Osborne lies. Kristian says Gwenn lies. Ophelia says Oswin tells the truth. Opal says Moses lies. Jamey says exactly one of Alexis, Maximilian and Mary tells the truth.Owyn says Nishanth tells the truth. Delfina says either exactly two of Bernita, Miller and Lalit tell the truth or none of them. Alexis says only one of Delbert, Ophelia and Olaf lies. Osian says Octavia tells the truth. Lalit says Miller tells the truth. Bahar says Osborne tells the truth. Moses says Opal lies. Dallas says only one of Teressa, Mia and Ocean tells the truth. Miller says Lalit tells the truth. Mary says Maximilian lies. Orson says Maverick tells the truth. Yoland says Inga tells the truth. Andree says exactly two of Antwan, Olympia and Olive tell the truth. Orion says Otis lies. Ocean says Octavius lies. Mina says Marsha lies. Gwenn says either exactly two of Fidel, Martha and Ollie tell the truth or none of them. Miles says Marsha tells the truth. Olga says Odile lies. Bernita says Sherrie lies. Ozias says Oona tells the truth. Olaf says Oswin lies. Sherrie says Jaymie tells the truth. Leda says Andree tells the truth. Alejandro says exactly one of Shalonda, Otis and Orion tell the truth. Marty says Morris tells the truth. Vernell says Dallas, Miles and Mina all tell the truth. Maximilian says Mary lies. Vina says exactly one of Jerry, Mason and Melvin tell the truth. Shenna says Kandi lies. Otis says Orion lies. Sal says Ryan lies. Fidel says only one of Yoland, Orson and Marcus lies. Marcus says Maverick lies. Jerry says only one of Jamey, Bahar and Osvaldo lies. Inga tells the truth. Mason says Melvin lies. Olympia says Olive lies. Shalonda says Sima lies. Ollie says Martha tells the truth. Sima says Vernell tells the truth. Kandi says exactly two of Vina, Odile and Olga tells the truth. Ryan says either exactly one of Alejandro, Morris and Marty tells the truth, or all three of them. Minerva says Oona lies. Delbert says Jim lies. Martha says Ollie tells the truth. Melvin says Mason lies. Mia says Octavius tells the truth. Jim says only one of Sal, Ozias and Minerva lies. Morris says Marty tells the truth. Do Jim, Miles, and Shenna tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:077", "request": "In this question, assume each person either always tells the truth or always lies. Mario says Odin lies. Mohamed says Ovid lies. Raymond says exactly two of Elanor, Melinda and Opal tells the truth. Willian says only one of Ka, Osian and Osborn lies. Madison says Muriel tells the truth. Kristian says Dallas tells the truth. Fidel says either exactly one of Audrie, Muriel and Madison tells the truth, or all three of them. Marlon says Virginia lies. Alejandro says Teressa tells the truth. Dallas says Gwenn lies. Elanor says exactly one of Vernell, Miranda and Matthew tell the truth. Christie says Phoebe tells the truth. Miguel says John tells the truth. Jerry says exactly two of Christie, Virginia and Marlon tell the truth. Gwenn says only one of Crista, Osric and Mavis tells the truth. Minerva says John lies. Virginia says Marlon lies. Mateo says Uri tells the truth. Delfina says Alejandro tells the truth. Phoebe says exactly one of Sherrie, Odin and Mario tells the truth.Melinda says Opal lies. Odin says Mario lies. Sherrie says Raymond tells the truth. Osian says Odysseus tells the truth. Vernell says either all three of Kristian, Kate and Melody lie, or two of them tell the truth. Crista says Delfina tells the truth. Audrie lies. Osborn says Odysseus lies. Mavis says Milton lies. Shaunda says Fidel lies. Teressa says either exactly one of Willian, Uri and Mateo tells the truth, or all three of them. Ka says Andree, Miguel and Minerva all tell the truth. Osric says Milton tells the truth. Ovid says Mohamed lies. Melody says Kate tells the truth. Opal says Melinda lies. Kate says Melody tells the truth. Miranda says Matthew lies. Matthew says Miranda lies. Muriel says Madison tells the truth. Andree says exactly two of Shaunda, Ovid and Mohamed tell the truth. Uri says Mateo tells the truth. Do Elanor, Osian, and Jerry tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:078", "request": "In this question, assume each person either always tells the truth or always lies. The person at the art gallery says the person at the bookstore tells the truth. Zara is at the barbershop. Quan is at the city hall. The person at the city hall tells the truth. Tala is at the bookstore. Beatriz is at the restaurant. The person at the barbershop says the person at the planetarium lies. The person at the zoo says the person at the art gallery tells the truth. The person at the art gallery thinks their friend is lying. The person at the bookstore tells the truth. Farid is at the ice skating rink. Ethan is at the zoo. Mateo is at the hotel. The person at the restaurant lies. The person at the ice skating rink lies. The person at the planetarium says the person at the zoo lies. Luna is at the art gallery. The person at the hotel lies. Emily is at the planetarium. Does the person at the barbershop tell the truth? Does the person at the planetarium tell the truth? Does the person at the zoo tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:082", "request": "In this question, assume each person either always tells the truth or always lies. Orson says Orla lies. Jamey says exactly two of Elanor, Oriana and Otis tell the truth. Rashida says exactly two of Alejandro, Orin and Olive tell the truth. Oriana says Otis lies. Bahar says Mackenzie tells the truth. Sal says Vina tells the truth. Vernell says Jerry lies. Sima says only one of Gwenn, Murphy and Orson lies. Milton says Melinda lies. Dallas says exactly two of Sherrie, Margaret and Ozzy tell the truth. Ozzy says Margaret lies. Orin says Olive lies. Marsha says Megan lies. Olive says Orin lies. Fletcher says only one of Jim, Maria and Oden lies. Jerry says either exactly two of Tamika, Bahar and Mackenzie tell the truth or none of them. Jim says exactly two of Jamey, Melinda and Milton tell the truth. Tamika says Sima lies. Helene says Dallas tells the truth. Alejandro says Fletcher tells the truth. Oden says Mercedes lies. Oprah says Maynard lies. Sherrie says only one of Vernell, Maybelle and Odell lies. Elanor says Shalonda lies. Otis says Oriana lies. Obadiah says Olga tells the truth. Moses says Orlando tells the truth. Olga says Obadiah tells the truth. Shalonda says either exactly two of Andree, Obadiah and Olga tell the truth or none of them. Alexis says exactly two of Rashida, Maynard and Oprah tell the truth. Megan says Marsha lies. Melinda says Milton lies. Murphy says Orla tells the truth. Mackenzie says Bahar tells the truth. Miles says Orlando lies. Odell says Hritik lies. Maria says Mercedes tells the truth. Andree tells the truth. Maybelle says Hritik tells the truth. Vina says exactly one of Helene, Marsha and Megan tell the truth. Margaret says Ozzy lies. Gwenn says Alexis, Moses and Miles all tell the truth. Maynard says Oprah lies. Do Vina, Sherrie, and Sal tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:085", "request": "In this question, assume each person either always tells the truth or always lies. Melissa says Marina tells the truth. Minerva says Madison tells the truth. Mateo says Millicent lies. Osborn says Ozzy tells the truth. Leda says Sima lies. Kate says Milo tells the truth. Margaret says Maxwell lies. Mehran says Merlin lies. Maxwell says Margaret lies. Delbert says only one of Jaymie, Marshall and Michelle tells the truth. Oran says Megan lies. Oona says Milo lies. Oswin says Maximilian tells the truth. Shenna says either exactly two of Leda, Martin and Octavius tell the truth or none of them. Sherrie says only one of Phoebe, Kate and Oona lies. Yoland says exactly two of Ryan, Osborne and Virginia tells the truth. Teressa says exactly one of Jamey, Micah and Osvaldo tells the truth.Megan says Oran lies. Elanor tells the truth. Andree says Delbert, McKenzie and Olga all tell the truth. Madison says Minerva tells the truth. Micah says Osvaldo lies. Olga says Matteo lies. Fidel says either all three of Delfina, Madison and Minerva tell the truth or only one of them. Virginia says Osborne lies. Osvaldo says Micah lies. Marina says Melissa tells the truth. Merlin says Mehran lies. Ozzy says Osborn tells the truth. Miguel says Miriam lies. Jaymie says either exactly two of Lorine, Marina and Melissa tell the truth or none of them. Marshall says Odin tells the truth. Sima says Yoland tells the truth. Hritik says Omar tells the truth. Melody says Otis lies. Alejandro says exactly two of Fidel, Merlin and Mehran tell the truth. McKenzie says Matteo tells the truth. Delfina says either all three of Teressa, Oswin and Maximilian tell the truth or only one of them. Christie says exactly one of Alejandro, Otis and Melody tell the truth. Michelle says Odin lies. Otis says Melody lies. Millicent says Mateo lies. Phoebe says exactly two of Willian, Margaret and Maxwell tell the truth. Omar says Hritik tells the truth. Osborne says Virginia lies. Martin says Octavius tells the truth. Maximilian says Oswin tells the truth. Antwan says exactly one of Kristian, Miguel and Miriam tells the truth.Ryan says either exactly one of Christie, Ozzy and Osborn tells the truth, or all three of them. Lorine says either all three of Antwan, Hritik and Omar tell the truth or only one of them. Kristian says exactly one of Elanor, Megan and Oran tell the truth. Jamey says Andree tells the truth. Miriam says Miguel lies. Willian says exactly one of Shenna, Millicent and Mateo tells the truth.Octavius says Martin tells the truth. Do Ryan, Christie, and Sherrie tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:086", "request": "In this question, assume each person either always tells the truth or always lies. Gwenn tells the truth. Andree says Conception lies. Martin says Mindy tells the truth. Fletcher says Alexis tells the truth. Ophelia says Marlon lies. Conception says Dallas tells the truth. Odell says Mateo lies. Orly says Melody tells the truth. Oleg says Maurice tells the truth. Maverick says Natasha lies. Natasha says Maverick lies. Mindy says Martin tells the truth. Orion says Miller tells the truth. Molly says Mariana tells the truth. Miguel says Osian tells the truth. Osric says Morgan lies. Helene says Kandi, Ofelia and Odell all tell the truth. Elanor says either all three of Delbert, Miguel and Osian lie, or two of them tell the truth. Shaunda says either exactly one of Yoland, Omar and Ozzy tells the truth, or all three of them. Mohamed says Minnie lies. Jim says exactly two of Helene, Ophelia and Marlon tells the truth. Lorine says exactly two of Andree, Osric and Morgan tell the truth. Antwan says Shaunda lies. Miller says Orion tells the truth. Misty says John tells the truth. Delfina says either exactly two of Audrie, John and Misty tell the truth or none of them. Omar says Ozzy tells the truth. John says Misty tells the truth. Dallas says either exactly one of Raymond, Orion and Miller tells the truth, or all three of them. Kandi says Jamey tells the truth. Ofelia says Mateo tells the truth. Jamey says exactly one of Fletcher, Maverick and Natasha tells the truth.Delbert says Gwenn lies. Raymond says either exactly two of Vina, Orly and Melody tell the truth or none of them. Melody says Orly tells the truth. Maurice says Oleg tells the truth. Fidel says either exactly one of Jim, Martin and Mindy tells the truth, or all three of them. Mariana says Molly tells the truth. Marlon says Ophelia lies. Morgan says Osric lies. Osian says Miguel tells the truth. Alexis says either exactly two of Lorine, Maurice and Oleg tell the truth or none of them. Vina says Elanor tells the truth. Ozzy says Omar tells the truth. Minnie says Mohamed lies. Yoland says exactly two of Fidel, Mohamed and Minnie tells the truth. Audrie says either all three of Antwan, Molly and Mariana tell the truth or only one of them. Do Jim, Audrie, and Delfina tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:087", "request": "In this question, assume each person either always tells the truth or always lies. Gwenn says Delfina lies. Madison says Olivia tells the truth. Odessa says Virginia lies. Natasha says Osric tells the truth. Ophelia says Meadow tells the truth. Sherrie says either exactly one of Gwenn, Natasha and Osric tells the truth, or all three of them. Disha says Orlando lies. Mickey says Olivia lies. Amberly says either exactly one of Shaunda, Mohamed and Sanket tells the truth, or all three of them. Ozzy says Olympia lies. Mona says Molly tells the truth. Vernell says exactly two of Jaymie, Orla and Oakleigh tell the truth. Elanor says exactly two of Helene, Olympia and Ozzy tell the truth. Martha says Muhammad tells the truth. Oakleigh says Orla lies. Andree says only one of Bernita, Odette and Oden lies. Osric says Natasha tells the truth. Orla says Oakleigh lies. Virginia says Odessa lies. Inga says either all three of Elanor, Bahar and Oprah tell the truth or only one of them. Oden says Matthew lies. Mohamed says Sanket tells the truth. Otto says Orlando tells the truth. Shaunda says exactly one of Lorine, Odessa and Virginia tell the truth. Lorine says only one of Conception, Mona and Max lies. Maya says Owen lies. Jerry says only one of Christie, Madison and Mickey lies. Jaymie says Kandi tells the truth. Delfina says exactly one of Jerry, Maya and Owen tells the truth.Oprah says Bahar tells the truth. Bernita says only one of Amberly, Otto and Disha lies. Crista lies. Odette says Matthew tells the truth. Max says Molly lies. Conception says Inga tells the truth. Kandi says only one of Andree, Mariana and Monica tells the truth. Monica says Mehran lies. Mariana says Mehran tells the truth. Sanket says Mohamed tells the truth. Muhammad says Martha tells the truth. Ka says Sherrie tells the truth. Helene says only one of Ka, Ophelia and Maximilian tells the truth. Maximilian says Meadow lies. Raymond says exactly two of Crista, John and Oda tells the truth. Christie says either exactly one of Raymond, Martha and Muhammad tells the truth, or all three of them. Olympia says Ozzy lies. John says Oda lies. Oda says John lies. Owen says Maya lies. Bahar says Oprah tells the truth. Do Kandi, Disha, and Vernell tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:088", "request": "In this question, assume each person either always tells the truth or always lies. Ollie says Maurice tells the truth. Amberly says either all three of Inga, Maverick and Natasha lie, or two of them tell the truth. Odin says Octavius tells the truth. Sanket says Mohamed lies. Shalonda says only one of Phoebe, Odin and Lalit lies. Millicent says Madison lies. Jamey says either exactly two of Alejandro, Omar and Mindy tell the truth or none of them. Audrie says only one of Vernell, Olivia and Millie tells the truth. Alejandro says Alexis tells the truth. Oakleigh says Mohamed tells the truth. Mariana says Melody tells the truth. Mindy says Omar tells the truth. Antwan says only one of Vina, Mallory and Milton lies. Jim tells the truth. Sherrie says either all three of Elanor, Onyx and Meadow tell the truth or only one of them. Elanor says only one of Amberly, Mustafa and Miller lies. Olivia says Matteo tells the truth. Mateo says Ottoline tells the truth. Onyx says Meadow tells the truth. Alexis says either all three of Teressa, Mariana and Melody lie, or two of them tell the truth. Bernita says Sherrie lies. Vernell says Jim, Mateo and Oda all tell the truth. Olive says Osborne tells the truth. Marty says Molly lies. Molly says Marty lies. Inga says exactly one of Audrie, Marty and Molly tell the truth. Melody says Mariana tells the truth. Omar says Mindy tells the truth. Natasha says Maverick tells the truth. Madison says Millicent lies. Vina says either exactly one of Ka, Osborne and Olive tells the truth, or all three of them. Millie says Matteo lies. Phoebe says Delbert tells the truth. Ka says exactly two of Jamey, Madison and Millicent tells the truth. Maverick says Natasha tells the truth. Raymond says Shalonda tells the truth. Maurice says Ollie tells the truth. Osborne says Olive tells the truth. Meadow says Onyx tells the truth. Kandi says either exactly two of Raymond, Maurice and Ollie tell the truth or none of them. Mallory says Oliver tells the truth. Oda says Ottoline lies. Delbert says only one of Antwan, Oakleigh and Sanket tells the truth. Teressa says Bernita tells the truth. Milton says Oliver lies. Miller says Orson lies. Lalit says Octavius lies. Mustafa says Orson tells the truth. Do Ka, Shalonda, and Kandi tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:092", "request": "In this question, assume each person either always tells the truth or always lies. Maximilian says Oliver lies. Kandi says exactly one of Sima, Odell and Othello tell the truth. Fletcher says exactly two of Rashida, John and Margaret tells the truth. Mallory says Mickey lies. Ryan says either all three of Delfina, Kate and Malcolm lie, or two of them tell the truth. Maybelle says Melissa tells the truth. Fidel says only one of Ka, Bahar and Maximilian lies. Vernell says either exactly one of Fletcher, Marlon and Ofelia tells the truth, or all three of them. Tamika tells the truth. Delfina says either exactly two of Tamika, Sanket and Mackenzie tell the truth or none of them. Ka says exactly two of Kandi, Mallory and Mickey tells the truth. Sanket says Mackenzie tells the truth. Sima says Raymond tells the truth. Margaret says John lies. Kristian says Vernell tells the truth. Bernita says exactly two of Gwenn, Ollie and Osric tells the truth. Odell says Othello lies. Melissa says Maybelle tells the truth. Marvin says Onyx tells the truth. Osric says Ollie lies. Mackenzie says Sanket tells the truth. Gwenn says either exactly one of Kristian, Maybelle and Melissa tells the truth, or all three of them. Crista says Fidel lies. Elanor says Helene tells the truth. Kate says Malcolm tells the truth. Marlon says Ofelia tells the truth. Raymond says Elanor lies. Onyx says Marvin tells the truth. Rashida says either exactly two of Ryan, Marvin and Onyx tell the truth or none of them. Othello says Odell lies. Ollie says Osric lies. Mickey says Mallory lies. Malcolm says Kate tells the truth. John says Margaret lies. Ofelia says Marlon tells the truth. Bahar says Oliver tells the truth. Helene says Bernita tells the truth. Do Elanor, Kandi, and Crista tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:094", "request": "In this question, assume each person either always tells the truth or always lies. Delbert says Alexis, Mehran and Oakley all tell the truth. Mallory says Oswin lies. Octavius says Owyn tells the truth. Minerva says Osborne lies. Mason says Malcolm tells the truth. Mateo says Oona lies. Oden says Matteo tells the truth. Leda says either exactly one of Vina, Milton and Muhammad tells the truth, or all three of them. Mohamed says Marcus lies. Miguel says Mariah tells the truth. Lorine says either exactly one of Tamika, Otis and Millie tells the truth, or all three of them. Matteo says Oden tells the truth. Jamey says Sal, Marsha and Olga all tell the truth. Nicole says Ottoline lies. Ottoline says Nicole lies. Mackenzie says Lalit tells the truth. Willian says Delbert lies. Bernita says exactly two of Ryan, Octavia and Meredith tells the truth. Malcolm says Mason tells the truth. Alexis says exactly one of Yoland, Maya and Murphy tells the truth.Octavia says Meredith lies. Otis says Millie tells the truth. McKenzie says Mia lies. Ka says either all three of Lorine, Lalit and Mackenzie lie, or two of them tell the truth. Odile says Orion tells the truth. Shalonda says either exactly two of Willian, Octavio and Olaf tell the truth or none of them. Michelle says Mary tells the truth. Octavian says Meadow tells the truth. Marcus says Mohamed lies. Octavio says Olaf tells the truth. Oakley says Ocean lies. Lalit says Mackenzie tells the truth. Fletcher lies. Otto says Oscar lies. Milton says Muhammad tells the truth. Maya says Murphy lies. Mary says Michelle tells the truth. Olaf says Octavio tells the truth. Oscar says Otto lies. Raymond says exactly one of Shalonda, Mohamed and Marcus tells the truth.Mehran says Ocean tells the truth. Megan says Mia tells the truth. Antwan says either all three of Leda, Matteo and Oden lie, or two of them tell the truth. Gwenn says exactly two of Phoebe, Osborne and Minerva tells the truth. Odessa says Meadow lies. Vina says either exactly two of Raymond, Mariah and Miguel tell the truth or none of them. Orion says Odile tells the truth. Ryan says only one of Fletcher, Octavius and Max lies. Christie says either all three of Ka, Mason and Malcolm tell the truth or only one of them. Meredith says Octavia lies. Marsha says Margaret tells the truth. Osborne says Minerva lies. Olga says Margaret lies. Millie says Otis tells the truth. Othello says Oswin tells the truth. Murphy says Maya lies. Max says Owyn lies. Yoland says either exactly two of Shenna, Odile and Orion tell the truth or none of them. Helene says only one of Conception, Megan and McKenzie tells the truth. Phoebe says only one of Jamey, Octavian and Odessa lies. Muhammad says Milton tells the truth. Mariah says Miguel tells the truth. Shenna says only one of Helene, Othello and Mallory lies. Conception says exactly one of Christie, Otto and Oscar tell the truth. Sima says exactly two of Gwenn, Mateo and Oona tells the truth. Oona says Mateo lies. Tamika says exactly two of Sima, Ottoline and Nicole tells the truth. Sal says either all three of Bernita, Michelle and Mary lie, or two of them tell the truth. Do Ka, Raymond, and Antwan tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:095", "request": "In this question, assume each person either always tells the truth or always lies. Melvin says Mark lies. Tamika says Phoebe tells the truth. Oscar says Michelle lies. Mavis says Mark tells the truth. Phoebe says Delbert lies. Bernita says only one of Alexis, Margaret and Mohamed lies. Mohamed says Merlin lies. Raymond says Antwan tells the truth. Milton says Oswin tells the truth. Othello says John lies. Antwan says exactly one of Andree, Oswald and Madeleine tell the truth. Michaela says Maxim tells the truth. Muriel says Nicole tells the truth. Uri says Michelle tells the truth. Lorine says exactly two of Elanor, Oliver and Orlando tell the truth. Orlando says Oliver lies. Christie says Jerry lies. Kandi says exactly two of Christie, Octavio and Olivia tell the truth. Odysseus says Ozzie tells the truth. Nicole says Muriel tells the truth. Shaunda says only one of Lorine, Mallory and Othello lies. Oswald says Madeleine lies. Olivia says Octavio lies. Andree says only one of Tamika, Mavis and Melvin lies. Margaret says Merlin tells the truth. Shalonda says Yoland, Milton and Malcolm all tell the truth. Osbert says Lalit lies. Madeleine says Oswald lies. Vina says either all three of Kandi, Muriel and Nicole tell the truth or only one of them. Yoland says only one of Vina, Uri and Oscar lies. Malcolm says Oswin lies. Oona says Maxim lies. Vernell lies. Ozzie says Odysseus tells the truth. Octavio says Olivia lies. Mallory says John tells the truth. Delbert says exactly two of Vernell, Lalit and Osbert tells the truth. Lalit says Osbert lies. Elanor says only one of Bernita, Michaela and Oona tells the truth. Jerry says either exactly two of Shaunda, Ozzie and Odysseus tell the truth or none of them. Alexis says Raymond tells the truth. Oliver says Orlando lies. Do Shaunda, Orlando, and Shalonda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:106", "request": "In this question, assume each person either always tells the truth or always lies. Milo says Omar lies. Jaymie says exactly two of Christie, Misty and Osbert tells the truth. Orson says Kate lies. Sima says exactly one of Teressa, Omar and Milo tell the truth. Teressa says only one of Yoland, Morgan and Mariana tells the truth. Martin says Marshall tells the truth. Lorine says Jerry tells the truth. Murphy says Madison tells the truth. Osbert says Misty lies. Rashida says only one of Fidel, Marvin and Bahar lies. Mia says Octavian tells the truth. Muhammad says Mark lies. Mark says Muhammad lies. Phoebe says exactly one of Lorine, Muhammad and Mark tell the truth. Dallas says exactly two of Sherrie, Kate and Orson tells the truth. Fletcher says only one of Jim, Malcolm and Mustafa tells the truth. Malcolm says Morris tells the truth. Obadiah says Lalit tells the truth. Delbert says either all three of Leda, Miranda and Matteo lie, or two of them tell the truth. Octavian says Mia tells the truth. Andree says either all three of Delfina, Murphy and Madison lie, or two of them tell the truth. Christie says Elanor, Otis and Muriel all tell the truth. Morgan says Maya tells the truth. Omar says Milo lies. Madison says Murphy tells the truth. Oscar says Maurice tells the truth. Fidel lies. Oda says Mohamed lies. Otis says Ocean tells the truth. Miranda says Matteo tells the truth. Ozzy says Michelle tells the truth. Muriel says Ocean lies. Mike says Oden tells the truth. Kate says Orson lies. Mariana says Maya lies. Oden says Mike tells the truth. Misty says Osbert lies. Maurice says Oscar tells the truth. Oswald says Mallory lies. Minerva says Olive tells the truth. Marsha says Maybelle tells the truth. Miller says Oran lies. Mohamed says Oda lies. Osric says Olympia lies. Oriana says Michelle lies. Monica says Marshall lies. Shalonda says exactly two of Sal, Oda and Mohamed tell the truth. Vernell says Phoebe lies. Jerry says only one of Rashida, Obadiah and Virginia tells the truth. Jamey says only one of Jaymie, Mickey and Miller lies. Mickey says Oran tells the truth. Bahar says Max lies. Virginia says Lalit lies. Matteo says Miranda tells the truth. Marvin says Max tells the truth. Antwan says exactly two of Sima, Mallory and Oswald tells the truth. Audrie says only one of Jamey, Minerva and Mason lies. Yoland says Kristian, Orlando and Madeleine all tell the truth. Madeleine says Meadow lies. Mustafa says Morris lies. Sherrie says only one of Helene, Marsha and Osborn lies. Kristian says Audrie lies. Osborn says Maybelle lies. Jim says either exactly two of Vernell, Maurice and Oscar tell the truth or none of them. Helene says exactly two of Antwan, Osric and Olympia tells the truth. Orlando says Meadow tells the truth. Mallory says Oswald lies. Leda says either exactly two of Shalonda, Mia and Octavian tell the truth or none of them. Olympia says Osric lies. Delfina says only one of Dallas, Martin and Monica lies. Mason says Olive lies. Sal says either all three of Andree, Mike and Oden tell the truth or only one of them. Elanor says only one of Fletcher, Ozzy and Oriana lies. Do Audrie, Olympia, and Delbert tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:108", "request": "In this question, assume each person either always tells the truth or always lies. Odin says Owen lies. Owen says Odin lies. McKenzie says Monica lies. Dallas says Teressa lies. Yoland says either exactly one of Sal, Merlin and Osvaldo tells the truth, or all three of them. Inga says either exactly one of Elanor, Mike and Oscar tells the truth, or all three of them. Mohamed says Osmond tells the truth. Miranda says Mason tells the truth. Osvaldo says Merlin tells the truth. Ozias says Mavis tells the truth. Madeleine says Oswald tells the truth. Osmond says Mohamed tells the truth. Oona says Matteo lies. Crista says either all three of Ryan, Milton and Oriana lie, or two of them tell the truth. Shenna says Crista tells the truth. Vina says either exactly two of Shenna, Madeleine and Oswald tell the truth or none of them. Elanor says only one of Antwan, Ozias and Ofelia lies. Octavius says Marvin lies. Ryan says exactly one of Dallas, Marlon and Disha tell the truth. Sal says only one of Kandi, Molly and Martin lies. Teressa lies. Omar says Osric tells the truth. Christie says Kristian lies. Milton says Oriana tells the truth. Antwan says either exactly one of Vina, Miranda and Mason tells the truth, or all three of them. Kandi says either exactly one of Andree, Mohamed and Osmond tells the truth, or all three of them. Matteo says Oona lies. Mike says Oscar tells the truth. Raymond says exactly one of Inga, Owen and Odin tells the truth.Oriana says Milton tells the truth. Olympia says Marvin tells the truth. Oscar says Mike tells the truth. Odysseus says Osric lies. Martin says Osborne lies. Alexis says only one of Leda, Olympia and Octavius lies. Andree says only one of Alexis, Omar and Odysseus lies. Molly says Osborne tells the truth. Marlon says Disha lies. Mason says Miranda tells the truth. Monica says McKenzie lies. Kristian says exactly two of Raymond, Oona and Matteo tell the truth. Ofelia says Mavis lies. Leda says exactly two of Christie, McKenzie and Monica tells the truth. Oswald says Madeleine tells the truth. Disha says Marlon lies. Merlin says Osvaldo tells the truth. Do Christie, Kandi, and Yoland tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:110", "request": "In this question, assume each person either always tells the truth or always lies. Tamika says Kristian, Ofelia and Lalit all tell the truth. Meadow says Orion tells the truth. Orla says Oakley tells the truth. Miles says Mary lies. Obadiah says Olga tells the truth. Sal says only one of Antwan, Orhan and Oprah lies. Morgan says Marcus tells the truth. Oprah says Oden lies. Nicole says Oscar tells the truth. Christie says either exactly one of Fletcher, Martin and Mateo tells the truth, or all three of them. Ophelia says Olympia lies. Kate says Matthew lies. Rashida says only one of Shaunda, Meadow and Odysseus lies. Helene tells the truth. Inga says exactly two of Teressa, Misty and Osric tells the truth. Ofelia says Murphy tells the truth. Vernell says exactly one of Phoebe, Mary and Miles tells the truth.Mackenzie says John tells the truth. Odysseus says Orion lies. Misty says Osric lies. Osric says Misty lies. Merlin says Octavius tells the truth. Matthew says Kate lies. Omar says Oakley lies. Mateo says Martin tells the truth. Raymond says Tamika lies. Ozzy says Olga lies. Ka says only one of Vernell, Obadiah and Ozzy lies. Olympia says Ophelia lies. Conception says only one of Yoland, Mandy and Ollie lies. Mandy says Maxwell tells the truth. Melissa says Morris lies. Morris says Melissa lies. Yoland says Sal lies. Shalonda says either all three of Sima, John and Mackenzie tell the truth or only one of them. Orhan says Oden tells the truth. Oscar says Nicole tells the truth. Martin says Mateo tells the truth. Ollie says Maxwell lies. Ryan says Inga lies. Lalit says Murphy lies. Fletcher says exactly one of Ryan, Kate and Matthew tell the truth. Willian says Conception tells the truth. Bernita says either all three of Raymond, Marcus and Morgan tell the truth or only one of them. Kristian says Ka tells the truth. Mary says Miles lies. Shaunda says exactly one of Lorine, Melissa and Morris tell the truth. Marcus says Morgan tells the truth. Teressa says Helene, Orla and Omar all tell the truth. Sima says exactly one of Christie, Olympia and Ophelia tells the truth.Antwan says Rashida lies. Phoebe says Shalonda lies. Jerry says either all three of Bernita, Merlin and Octavius tell the truth or only one of them. Lorine says either all three of Jerry, Nicole and Oscar tell the truth or only one of them. Octavius says Merlin tells the truth. John says Mackenzie tells the truth. Do Sal, Jerry, and Willian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:112", "request": "In this question, assume each person either always tells the truth or always lies. Maximilian says Maynard lies. Vernell says exactly one of Shaunda, Omar and Miguel tells the truth.Elanor says Sherrie, Marshall and Osbert all tell the truth. Disha says Nishanth lies. Millie says Marlon lies. Oona says Otis lies. Miguel says Omar lies. Michelle says Odin tells the truth. Kristian says Sima, Matthew and Maximilian all tell the truth. Miller says Odell tells the truth. Odell says Miller tells the truth. Kandi says Delbert tells the truth. Yoland says exactly two of Kristian, Millie and Marlon tells the truth. Odin says Michelle tells the truth. Megan says Mitchell tells the truth. Opal says Milton lies. Ka says only one of Jaymie, Martin and Mason tells the truth. Delbert says Teressa tells the truth. Jamey says exactly two of Kandi, Disha and Nishanth tells the truth. Oswin says Martha lies. Leda says either all three of Jim, Meredith and Mavis tell the truth or only one of them. Sal says Rashida lies. Martin says Olive tells the truth. Sima says either all three of Jamey, Megan and Mitchell lie, or two of them tell the truth. Jaymie says exactly two of Phoebe, Milton and Opal tells the truth. Marlon says Millie lies. Milton says Opal lies. Maria says Millicent lies. Conception says Raymond lies. Fletcher says Yoland tells the truth. Mitchell says Megan tells the truth. Willian says only one of Helene, Nicole and Maria tells the truth. Inga says either exactly two of Gwenn, Odell and Miller tell the truth or none of them. Raymond says only one of Lorine, Marsha and Ozzy lies. Mavis says Meredith tells the truth. Shenna says Ka tells the truth. Nishanth says Disha lies. Rashida says only one of Leda, Melody and Oleg lies. Michael says Oliver lies. Orly says Mateo tells the truth. Otis says Oona lies. Marshall says Meadow tells the truth. Marsha says Oswald tells the truth. Mateo says Orly tells the truth. Helene says either exactly two of Shalonda, Orly and Mateo tell the truth or none of them. Mason says Olive lies. Oliver says Michael lies. Meredith says Mavis tells the truth. Nicole says Millicent tells the truth. Melody says Ofelia tells the truth. Osborn says Ovid lies. Obadiah says Ovid tells the truth. Osbert says Meadow lies. Lalit says Martha tells the truth. Jim says only one of Vernell, Lalit and Oswin lies. Sherrie tells the truth. Matthew says Maynard tells the truth. Shaunda says Elanor tells the truth. Lorine says exactly one of Inga, Oliver and Michael tells the truth.Omar says Miguel lies. Shalonda says exactly two of Shenna, Oona and Otis tell the truth. Ozzy says Oswald lies. Phoebe says either exactly one of Sal, Michelle and Odin tells the truth, or all three of them. Oleg says Ofelia lies. Gwenn says only one of Fletcher, Obadiah and Osborn tells the truth. Teressa says Willian lies. Do Shalonda, Mitchell, and Conception tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:118", "request": "In this question, assume each person either always tells the truth or always lies. Meadow says Murray lies. Otto says Marsha lies. Virginia says Bahar lies. Oswin says Odette lies. Lorine says only one of Jerry, Ottoline and Obadiah tells the truth. Jerry says Delbert lies. Odin says Lalit tells the truth. Molly says Marvin tells the truth. Orlando says Marcus tells the truth. Ryan says exactly one of Kristian, Octavia and Nishanth tell the truth. Sima says exactly one of Willian, Virginia and Bahar tells the truth.Muhammad says Marsha tells the truth. Marlon says Millie tells the truth. Osborn says Merlin tells the truth. Shaunda says Lorine tells the truth. Natasha says Megan tells the truth. Tamika says either all three of Amberly, Molly and Marvin lie, or two of them tell the truth. Ocean says Murray tells the truth. Owen says Milo lies. Willian says Shenna, Ocean and Meadow all tell the truth. Orin says Moses tells the truth. Moses says Orin tells the truth. Jaymie says Ryan tells the truth. Michael says Octavio tells the truth. Merlin says Osborn tells the truth. Amberly says either exactly two of Gwenn, Marcus and Orlando tell the truth or none of them. Melvin says Lalit lies. Raymond tells the truth. Marcus says Orlando tells the truth. Jamey says only one of Audrie, Marlon and Omar lies. Obadiah says Maya lies. Shenna says exactly two of Antwan, Odette and Oswin tell the truth. Owyn says Odysseus tells the truth. Elanor says only one of Jaymie, Mason and Owen lies. Gwenn says either all three of Raymond, Orin and Moses tell the truth or only one of them. Dallas says either exactly one of Christie, Osborn and Merlin tells the truth, or all three of them. Mandy says Mariana tells the truth. Odette says Oswin lies. Marvin says Molly tells the truth. Oran says Odysseus lies. Mariana says Mandy tells the truth. Antwan says either all three of Tamika, Megan and Natasha tell the truth or only one of them. Delbert says Jamey lies. Octavia says Nishanth lies. Kristian says either all three of Helene, Mariana and Mandy lie, or two of them tell the truth. Megan says Natasha tells the truth. Crista says only one of Bernita, Muhammad and Otto lies. Mason says Milo tells the truth. Bahar says Virginia lies. Sherrie says Elanor lies. Ottoline says Maya tells the truth. Bernita says only one of Sherrie, Owyn and Oran lies. Nishanth says Octavia lies. Octavio says Michael tells the truth. Christie says Crista lies. Omar says Millie lies. Audrie says either exactly one of Dallas, Octavio and Michael tells the truth, or all three of them. Helene says Sima, Odin and Melvin all tell the truth. Do Audrie, Bahar, and Shaunda tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:120", "request": "In this question, assume each person either always tells the truth or always lies. The person at the school tells the truth. Maya is at the city hall. The person at the beach says the person at the barbershop tells the truth. Jake is at the bookstore. Hiroshi is at the skate park. The person at the city hall says the person at the amusement park lies. Soren is at the farm. The person at the cafe says the person at the skate park tells the truth. Tala is at the barbershop. Ayaan is at the aquarium. The person at the museum tells the truth. The person at the bowling alley says the person at the aquarium tells the truth. The person at the planetarium says the person at the train station tells the truth. The person at the skate park says the person at the art gallery lies. The person at the vineyard tells the truth. Liam is at the ice skating rink. The person at the airport tells the truth. The person at the barbershop says the person at the skate park tells the truth. Priya is at the train station. Isabella is at the amusement park. The person at the aquarium says the person at the museum tells the truth. Luna is at the museum. Charlie is at the vineyard. Ethan is at the airport. The person at the ice skating rink says the person at the aquarium tells the truth. The person at the amusement park says the person at the planetarium lies. The person at the barbershop says the person at the bookstore lies. Mateo is at the cafe. Nia is at the restaurant. Kehinde is at the art gallery. The person at the train station says the person at the barbershop tells the truth. Jaxon is at the planetarium. The person at the farm says the person at the art gallery tells the truth. The person at the art gallery says the person at the bowling alley lies. Grace is at the beach. Quan is at the school. Zara is at the bowling alley. The person at the restaurant tells the truth. Does the person at the amusement park tell the truth? Does the person at the planetarium tell the truth? Does the person at the train station tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:122", "request": "In this question, assume each person either always tells the truth or always lies. Emily is at the shopping mall. The person at the skate park says the person at the shopping mall lies. The person at the botanical garden says the person at the school tells the truth. Mateo is at the cafe. The person at the hotel tells the truth. Luna is at the zoo. Kehinde is at the observatory. Max is at the airport. The person at the art gallery says the person at the train station tells the truth. The person at the train station says the person at the bowling alley lies. The person at the campground says the person at the amusement park lies. The person at the gym says the person at the observatory lies. The person at the airport tells the truth. Jake is at the aquarium. Ryan is at the gym. The person at the cafe says the person at the planetarium lies. The person at the library says the person at the planetarium lies. Nia is at the bookstore. The person at the bookstore says the person at the skate park lies. The person at the gym thinks their neighbor is telling the truth. The person at the gym says the person at the train station lies. Ethan is at the train station. The person at the planetarium lies. The person at the shopping mall says the person at the gym tells the truth. The person at the campground says the person at the skate park lies. Farid is at the library. Soren is at the hotel. Olivia is at the art gallery. Beatriz is at the planetarium. Liam is at the school. Charlie is at the botanical garden. Maya is at the skate park. The person at the zoo says the person at the shopping mall tells the truth. Grace is at the restaurant. The person at the campground says the person at the aquarium lies. The person at the skate park thinks their neighbor is telling the truth. Ayaan is at the bowling alley. The person at the botanical garden says the person at the planetarium tells the truth. The person at the train station says the person at the botanical garden tells the truth. Theo is at the amusement park. Jaxon is at the campground. The person at the restaurant lies. Does the person at the campground tell the truth? Does the person at the skate park tell the truth? Does the person at the shopping mall tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:124", "request": "In this question, assume each person either always tells the truth or always lies. Maurice says Millicent lies. Phoebe says Fletcher tells the truth. John says Virginia lies. Melody says Morgan tells the truth. Meadow says Mario tells the truth. Fletcher says either all three of Andree, Maxim and Obadiah tell the truth or only one of them. Octavius says Opal lies. Melissa says Mickey lies. Marvin says Molly lies. Mehran says Milton tells the truth. Kandi says only one of Willian, Meadow and Orlando tells the truth. Vina says either all three of Delbert, Minnie and Mona tell the truth or only one of them. Ofelia says Milton lies. Otto says Marina lies. Morgan says Melody tells the truth. Jaymie says exactly one of Gwenn, Melissa and Mickey tell the truth. Orlando says Mario lies. Molly says Marvin lies. Virginia says John lies. Jerry says exactly two of Shenna, Marina and Otto tells the truth. Oona says Miranda tells the truth. Sima says Leda, Kate and Martha all tell the truth. Obadiah says Maxim tells the truth. Ottoline says Odile lies. Ka says only one of Raymond, Michaela and Madison tells the truth. Alexis says exactly two of Sima, Virginia and John tells the truth. Bernita says Jerry lies. Leda says exactly two of Kandi, Odile and Ottoline tell the truth. Tamika says exactly two of Ka, Ozzie and Maybelle tell the truth. Madison says Osvaldo lies. Omar says Miranda lies. Odell says Ophelia tells the truth. Sal says either all three of Lorine, Nishanth and Oakley tell the truth or only one of them. Ozzie says Maybelle lies. Willian lies. Gwenn says either all three of Sal, Morgan and Melody tell the truth or only one of them. Oakley says Nishanth tells the truth. Marina says Otto lies. Ophelia says Odell tells the truth. Mariah says Millicent tells the truth. Kate says Morris tells the truth. Elanor says either exactly one of Alexis, Odell and Ophelia tells the truth, or all three of them. Orion says Opal tells the truth. Andree says only one of Vina, Mariah and Maurice lies. Raymond says only one of Jaymie, Mehran and Ofelia lies. Odile says Ottoline lies. Lorine says only one of Elanor, Orion and Octavius tells the truth. Mona says Minnie tells the truth. Minnie says Mona tells the truth. Maybelle says Ozzie lies. Octavia says Oakleigh lies. Shenna says exactly two of Ryan, Oakleigh and Octavia tells the truth. Maxim says Obadiah tells the truth. Michaela says Osvaldo tells the truth. Ryan says exactly two of Vernell, Marvin and Molly tells the truth. Mickey says Melissa lies. Delbert says only one of Tamika, Oona and Omar lies. Vernell says Phoebe lies. Nishanth says Oakley tells the truth. Martha says Morris lies. Oakleigh says Octavia lies. Do Vernell, Jerry, and Bernita tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:131", "request": "In this question, assume each person either always tells the truth or always lies. Sima says Jim lies. Raymond says exactly one of Fletcher, Milton and Mitchell tell the truth. Oden says Michelle tells the truth. Jaymie says Dallas lies. Mavis says Maximilian tells the truth. Jim says Crista tells the truth. Milton says Mitchell lies. Orlando says Octavio tells the truth. Maxwell says Orson lies. Michelle says Oden tells the truth. Kristian says Sima lies. Vina says either exactly one of Raymond, Mavis and Maximilian tells the truth, or all three of them. Shalonda says Audrie tells the truth. Olympia says Miranda tells the truth. Delbert says Shalonda tells the truth. Bernita says either all three of Sal, Oden and Michelle tell the truth or only one of them. Marty says Marvin tells the truth. Sal says either all three of Phoebe, Orlando and Octavio tell the truth or only one of them. Alejandro says exactly one of Kristian, Orson and Maxwell tell the truth. Orson says Maxwell lies. Mitchell says Milton lies. Oscar says Otis lies. Otis says Oscar lies. Fidel says exactly two of Bernita, Otis and Oscar tell the truth. Dallas says exactly two of Delbert, Miriam and Miguel tells the truth. Miguel says Miriam lies. Maximilian says Mavis tells the truth. Miriam says Miguel lies. Fletcher says only one of Fidel, Marty and Owen lies. Crista says either all three of Vina, Olympia and Miranda lie, or two of them tell the truth. Phoebe says Jaymie tells the truth. Owen says Marvin lies. Oakley says Ozzy tells the truth. Ozzy says Oakley tells the truth. Octavio says Orlando tells the truth. Miranda says Olympia tells the truth. Conception says either all three of Alejandro, Ozzy and Oakley lie, or two of them tell the truth. Audrie lies. Do Alejandro, Jim, and Conception tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:132", "request": "In this question, assume each person either always tells the truth or always lies. Onyx says Disha lies. Merlin says Oscar tells the truth. Vernell says only one of Audrie, Ozias and Molly tells the truth. Fletcher says only one of Shaunda, Mercedes and Onyx lies. Otis says Ovid lies. Oscar says Merlin tells the truth. Maybelle says Ovid tells the truth. Lorine says either exactly two of Amberly, Odysseus and Miller tell the truth or none of them. Miller says Odysseus tells the truth. Olympia says Maximilian tells the truth. Audrie lies. Mercedes says Disha tells the truth. Ozias says Miguel tells the truth. Osbert says Marsha tells the truth. Odysseus says Miller tells the truth. Hritik says Osvaldo tells the truth. Osborne says Morris lies. Dallas says Tamika lies. Maximilian says Olympia tells the truth. Mariah says Melanie tells the truth. Ka says exactly one of Lorine, Morris and Osborne tells the truth.Melanie says Mariah tells the truth. Melinda says Oden tells the truth. Ocean says Oswin lies. Elanor says either all three of Bernita, Osvaldo and Hritik tell the truth or only one of them. Oswald says Maynard lies. Osvaldo says Hritik tells the truth. Vina says exactly one of Delfina, Maynard and Oswald tell the truth. Bernita says either all three of Dallas, Merlin and Oscar tell the truth or only one of them. Amberly says either all three of Gwenn, Olympia and Maximilian tell the truth or only one of them. Shaunda says only one of Andree, Maybelle and Otis lies. Tamika says either exactly one of Vina, Melinda and Oden tells the truth, or all three of them. Sal says Fletcher tells the truth. Marsha says Osbert tells the truth. Delfina says exactly two of Vernell, Ocean and Oswin tell the truth. Morris says Osborne lies. Maynard says Oswald lies. Andree says either all three of Christie, Melanie and Mariah tell the truth or only one of them. Christie says either all three of Elanor, Marsha and Osbert tell the truth or only one of them. Oswin says Ocean lies. Oden says Melinda tells the truth. Molly says Miguel lies. Gwenn says Sal tells the truth. Do Sal, Otis, and Ka tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:134", "request": "In this question, assume each person either always tells the truth or always lies. Ka says only one of Christie, Miller and Madeleine tells the truth. Odette says Orly lies. Melody says Osvaldo lies. Fidel lies. Oswin says Nicole tells the truth. Vina says exactly two of Fletcher, Osvaldo and Melody tell the truth. Osbert says Misty lies. Osborne says Maria tells the truth. Elanor says exactly one of Fidel, Misty and Osbert tells the truth.Mercedes says Oran tells the truth. Rashida says exactly one of Alejandro, Orly and Odette tells the truth.Fletcher says exactly one of Jamey, Marlon and Mustafa tells the truth.Jamey says Rashida, Oswin and Mona all tell the truth. Marlon says Mustafa lies. Shaunda says either exactly two of Sal, Oran and Mercedes tell the truth or none of them. Oran says Mercedes tells the truth. Conception says Gwenn tells the truth. Gwenn says Elanor, Marvin and Max all tell the truth. Madeleine says Bahar lies. Marvin says Oprah tells the truth. Miller says Bahar tells the truth. Teressa says Conception tells the truth. Christie says exactly one of Helene, Madison and Oden tell the truth. Owen says Martha lies. Sima says Vina tells the truth. Mustafa says Marlon lies. Max says Oprah lies. Martha says Owen lies. Mona says Nicole lies. Oden says Madison lies. Sal says exactly two of Ka, Martha and Owen tell the truth. Madison says Oden lies. Orly says Odette lies. Helene says only one of Teressa, Osborne and Mia tells the truth. Misty says Osbert lies. Alejandro says Shaunda tells the truth. Osvaldo says Melody lies. Mia says Maria lies. Do Vina, Madeleine, and Sima tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:135", "request": "In this question, assume each person either always tells the truth or always lies. Octavio says Mia lies. Madison says Owyn lies. Jamey says Phoebe lies. Raymond tells the truth. Tamika says Andree, Odell and Oakleigh all tell the truth. Oakleigh says Mariana lies. Maxim says Ophelia lies. Amberly says Jamey, Marina and Murray all tell the truth. Mavis says Margaret tells the truth. Odell says Mariana tells the truth. Omar says Murphy lies. Murphy says Omar lies. Phoebe says Helene tells the truth. Ozias says Maybelle tells the truth. Ka says Jerry tells the truth. Shaunda says exactly two of Willian, Olympia and Orlando tell the truth. Alejandro says only one of Audrie, Michelle and Maxim lies. Olympia says Orlando lies. Willian says only one of Conception, Micah and Hritik tells the truth. Micah says Oswin tells the truth. Margaret says Mavis tells the truth. Inga says either all three of Amberly, Margaret and Mavis lie, or two of them tell the truth. Helene says Ka lies. Marina says McKenzie tells the truth. Elanor says exactly one of Shaunda, Octavio and Mia tell the truth. Murray says McKenzie lies. Andree says Raymond tells the truth. Jerry says exactly one of Elanor, Madison and Owyn tells the truth.Hritik says Oswin lies. Mia says Octavio lies. Owyn says Madison lies. Michelle says Ophelia tells the truth. Conception says only one of Alejandro, Ozias and Miranda lies. Miranda says Maybelle lies. Orlando says Olympia lies. Audrie says exactly two of Tamika, Murphy and Omar tells the truth. Do Jamey, Helene, and Inga tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:136", "request": "In this question, assume each person either always tells the truth or always lies. Tamika says either all three of Fidel, Ozzy and Murray lie, or two of them tell the truth. Mindy says Mina lies. Phoebe says either exactly two of Willian, Oden and Maverick tell the truth or none of them. Ozzy says Murray tells the truth. Oden says Maverick tells the truth. McKenzie says Olaf lies. Amberly says Vina tells the truth. Vina says exactly two of Leda, Michelle and Melissa tell the truth. Fidel says Shaunda lies. Melissa says Michelle lies. Marina says Milton tells the truth. Matthew says Orhan lies. Lorine says exactly two of Kristian, Mindy and Mina tells the truth. Millicent says Mariah lies. Alejandro says Sherrie lies. Mason says Otis lies. Alexis says Alejandro, Merlin and Matthew all tell the truth. Otis says Mason lies. Merlin says Orhan tells the truth. Audrie says only one of Alexis, Lalit and Osian tells the truth. Oda says Nicole tells the truth. Malcolm says Odette lies. Michelle says Melissa lies. Osian says Mitchell lies. Rashida says exactly one of Antwan, Malcolm and Odette tells the truth.Antwan says exactly two of Lorine, Mariah and Millicent tells the truth. Mariah says Millicent lies. Ka says Audrie, Marina and Maria all tell the truth. Olaf says McKenzie lies. Odette says Malcolm lies. Maria says Milton lies. Mina says Mindy lies. Leda says exactly two of Rashida, Olaf and McKenzie tell the truth. Nicole says Oda tells the truth. Murray says Ozzy tells the truth. Sherrie says either exactly two of Amberly, Nicole and Oda tell the truth or none of them. Kristian says exactly two of Phoebe, Mason and Otis tells the truth. Shaunda says Ka lies. Lalit says Mitchell tells the truth. Maverick says Oden tells the truth. Willian tells the truth. Do Alejandro, Audrie, and Tamika tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:137", "request": "In this question, assume each person either always tells the truth or always lies. Orla says Otto tells the truth. Marlon says Olaf lies. Otto says Orla tells the truth. Odessa says Milton lies. Morris says Oakleigh lies. Antwan says either exactly two of Raymond, Osmond and Molly tell the truth or none of them. Jerry says exactly one of Inga, Mario and Nicole tell the truth. Raymond tells the truth. Marvin says McKenzie lies. Martha says Osvaldo lies. Bernita says Shaunda lies. Ocean says Maria tells the truth. Owen says Oleg tells the truth. Oriana says McKenzie tells the truth. Alexis says Rashida lies. Osvaldo says Martha lies. Rashida says exactly two of Sherrie, Marlon and Olaf tell the truth. Oleg says Owen tells the truth. Oakleigh says Morris lies. Jim says only one of Amberly, Ocean and Marsha lies. Amberly says Delbert tells the truth. Vina says exactly two of Bernita, Monica and Maurice tells the truth. Milton says Odessa lies. Dallas says exactly two of Alexis, Morris and Oakleigh tells the truth. Monica says Maurice lies. Marsha says Maria lies. Sherrie says exactly one of Jim, Milton and Odessa tells the truth.Inga says only one of Dallas, Oriana and Marvin tells the truth. Shaunda says either all three of Antwan, Orla and Otto lie, or two of them tell the truth. Olaf says Marlon lies. Mario says Nicole lies. Molly says Osmond tells the truth. Willian says exactly one of Jerry, Martha and Osvaldo tells the truth.Maurice says Monica lies. Delbert says either exactly one of Vina, Owen and Oleg tells the truth, or all three of them. Nicole says Mario lies. Osmond says Molly tells the truth. Do Dallas, Alexis, and Willian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:142", "request": "In this question, assume each person either always tells the truth or always lies. Alexis says only one of Delfina, Marshall and Olivia lies. Crista says exactly two of Kandi, Matthew and Maverick tells the truth. Jim says Shaunda, Miller and Misty all tell the truth. Ozias says Oleg tells the truth. Phoebe says Dallas lies. Opal says Odell tells the truth. Olivia says Marlon lies. Rashida tells the truth. Matteo says Ovid tells the truth. Maverick says Matthew lies. Odell says Opal tells the truth. Oden says Mario tells the truth. Antwan says exactly one of Rashida, Otis and Melissa tell the truth. Otis says Melissa lies. Misty says Bahar lies. Mike says Milton tells the truth. Milton says Mike tells the truth. Delfina says either exactly one of Teressa, Oleg and Ozias tells the truth, or all three of them. Kandi says Ka tells the truth. Oleg says Ozias tells the truth. Orion says Madison tells the truth. Vina says either exactly two of Leda, Mario and Oden tell the truth or none of them. Teressa says only one of Antwan, Matteo and Osric lies. Marshall says Marlon tells the truth. Leda says either all three of Elanor, Opal and Odell tell the truth or only one of them. Mario says Oden tells the truth. Shaunda says Alexis lies. Madison says Orion tells the truth. Melissa says Otis lies. Matthew says Maverick lies. Miller says Bahar tells the truth. Osric says Ovid lies. Dallas says Vina lies. Ka says either exactly one of Phoebe, Madison and Orion tells the truth, or all three of them. Elanor says either all three of Jim, Mike and Milton lie, or two of them tell the truth. Do Phoebe, Ozias, and Crista tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:144", "request": "In this question, assume each person either always tells the truth or always lies. Charlie is at the barbershop. The person at the museum says the person at the ice skating rink lies. The person at the theater says the person at the zoo lies. The person at the farm lies. The person at the aquarium says the person at the school tells the truth. The person at the airport says the person at the ice skating rink lies. The person at the ice skating rink says the person at the theater tells the truth. Ayaan is at the museum. Ethan is at the beach. Beatriz is at the airport. The person at the ice skating rink says the person at the beach lies. Tala is at the skate park. Mateo is at the farm. Grace is at the theater. Emily is at the school. The person at the barbershop says the person at the skate park lies. The person at the skate park lies. The person at the train station says the person at the museum tells the truth. The person at the school says the person at the barbershop lies. Hiroshi is at the ice skating rink. Luna is at the train station. The person at the zoo says the person at the aquarium tells the truth. Jaxon is at the zoo. Zara is at the aquarium. Does the person at the train station tell the truth? Does the person at the museum tell the truth? Does the person at the ice skating rink tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:148", "request": "In this question, assume each person either always tells the truth or always lies. Christie says exactly one of Audrie, Osvaldo and Maybelle tells the truth.Meredith says Mariah tells the truth. Audrie says either exactly two of Gwenn, Minerva and Miguel tell the truth or none of them. Lorine says exactly two of Dallas, Moses and Nishanth tells the truth. Megan says Omar lies. Max says Melinda tells the truth. Meadow says Ofelia tells the truth. Crista says either all three of Helene, Meredith and Mariah tell the truth or only one of them. Leda says only one of Delbert, Osian and Octavian lies. Nicole says Oran lies. Willian says exactly two of Kristian, Mohamed and Octavio tell the truth. Antwan says either all three of Shalonda, Mustafa and Millicent lie, or two of them tell the truth. Minerva says Miguel tells the truth. Ka says only one of Kandi, Olga and Osmond tells the truth. Moses says Nishanth lies. Octavio says Mohamed lies. Conception says exactly two of Ka, Ollie and Oscar tell the truth. Oswin says Miles tells the truth. Oran says Nicole lies. Osmond says Marvin lies. Ollie says Oscar lies. Jim says exactly one of Willian, Marlon and Misty tell the truth. Orlando says Ofelia lies. Marlon says Misty lies. Marsha says Milo lies. Rashida tells the truth. Odessa says Mercedes lies. Maxim says Melinda lies. Octavian says Mandy lies. Orion says Odell tells the truth. Kristian says only one of Conception, Meadow and Orlando lies. Yoland says Sima lies. Millicent says Mustafa tells the truth. Mohamed says Octavio lies. Misty says Marlon lies. Melvin says Oden lies. Dallas says Christie, Ozzy and Ozias all tell the truth. Delbert says only one of Bernita, Max and Maxim lies. Minnie says Odell lies. Oscar says Ollie lies. Mustafa says Millicent tells the truth. Mercedes says Odessa lies. Muhammad says Hritik tells the truth. Ozias says Oprah lies. Alexis says exactly one of Yoland, Oran and Nicole tell the truth. Miguel says Minerva tells the truth. Osvaldo says Maybelle lies. Orin says Oden tells the truth. Olga says Marvin tells the truth. Helene says exactly two of Jerry, Mercedes and Odessa tell the truth. Teressa says exactly one of Crista, Megan and Omar tell the truth. Shalonda says Leda, Orin and Melvin all tell the truth. Maybelle says Osvaldo lies. Hritik says Muhammad tells the truth. Milo says Marsha lies. Kandi says Antwan, Orion and Minnie all tell the truth. Vina says Elanor lies. Sima says either exactly one of Jim, Muhammad and Hritik tells the truth, or all three of them. Mariah says Meredith tells the truth. Bernita says exactly one of Teressa, Milo and Marsha tells the truth.Gwenn says Rashida tells the truth. Omar says Megan lies. Jerry says either all three of Vina, Miles and Oswin tell the truth or only one of them. Osian says Mandy tells the truth. Nishanth says Moses lies. Ozzy says Oprah tells the truth. Elanor says Lorine tells the truth. Miles says Oswin tells the truth. Do Jim, Kristian, and Alexis tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:151", "request": "In this question, assume each person either always tells the truth or always lies. Michael says Oliver lies. Oakley says Maverick lies. Meredith says Ozias lies. Dallas says Crista, Nicole and Melinda all tell the truth. Sanket says Maria tells the truth. Alexis says only one of Amberly, Onyx and Michael lies. Marsha says Osian tells the truth. Elanor says Fletcher, Octavia and Oswin all tell the truth. Shenna says Kristian tells the truth. Gwenn says exactly two of Yoland, Maynard and Ophelia tell the truth. Ozias says Meredith lies. Nicole says Oden tells the truth. Leda says Rashida tells the truth. Miller says Ottoline tells the truth. Delbert says either all three of Jim, Odessa and Uri tell the truth or only one of them. Melissa says Orin lies. Mallory says Disha tells the truth. Vernell says Teressa tells the truth. Kristian says either all three of Leda, Muhammad and Octavius tell the truth or only one of them. Ophelia says Maynard lies. Minnie says Mike tells the truth. Sal says either exactly one of Alexis, Martha and Mercedes tells the truth, or all three of them. Mercedes says Martha tells the truth. Maria says Sanket tells the truth. Mehran says Osian lies. Fletcher says either all three of Dallas, Sanket and Maria lie, or two of them tell the truth. Kandi says only one of Vernell, Maxim and Kate lies. Maynard says Ophelia lies. Shalonda says exactly one of Alejandro, Madeleine and Obadiah tell the truth. Melinda says Oden lies. Crista says exactly one of Shalonda, Orin and Melissa tells the truth.Ovid says Maverick tells the truth. Ottoline says Miller tells the truth. Onyx says Oliver tells the truth. Amberly says Christie tells the truth. Christie says Jaymie tells the truth. John says Miles lies. Inga says either all three of Elanor, Mallory and Disha lie, or two of them tell the truth. Moses says Owyn tells the truth. Owyn says Moses tells the truth. Octavia says Millicent tells the truth. Obadiah says Madeleine lies. Maxim says Oran tells the truth. Alejandro tells the truth. Orin says Melissa lies. Sima says Inga tells the truth. Kate says Oran lies. Jaymie says exactly one of Sima, Ozias and Meredith tell the truth. Osvaldo says Monica tells the truth. Oswin says Millicent lies. Disha says Mallory tells the truth. Octavius says Muhammad tells the truth. Uri says Odessa tells the truth. Yoland says either all three of Shenna, Monica and Osvaldo tell the truth or only one of them. Jim says either all three of Jerry, Mike and Minnie lie, or two of them tell the truth. Martha says Mercedes tells the truth. Antwan says exactly two of Gwenn, John and Miles tell the truth. Jamey says Antwan tells the truth. Rashida says either all three of Kandi, Miller and Ottoline lie, or two of them tell the truth. Jerry says either exactly two of Jamey, Owyn and Moses tell the truth or none of them. Madeleine says Obadiah lies. Odessa says Uri tells the truth. Fidel says only one of Delbert, Marsha and Mehran lies. Delfina says Sal lies. Miles says John lies. Muhammad says Octavius tells the truth. Mike says Minnie tells the truth. Monica says Osvaldo tells the truth. Teressa says Delfina, Ovid and Oakley all tell the truth. Do Teressa, Jamey, and Fidel tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:152", "request": "In this question, assume each person either always tells the truth or always lies. Maximilian says Muriel tells the truth. Martin says Oriana lies. Oriana says Martin lies. Yoland says either exactly two of Crista, Ozias and Mona tell the truth or none of them. Bernita says Tamika lies. Fidel says exactly one of Elanor, Onyx and Marty tell the truth. Madeleine says Mustafa lies. Fletcher says either exactly one of Delfina, Orson and Mario tells the truth, or all three of them. Otto says Melvin tells the truth. Kristian says Christie tells the truth. Matteo says Oran lies. Olga says Oran tells the truth. Marcus says Mallory lies. Osborn says Maverick tells the truth. Dallas says Fidel lies. Milo says Ollie lies. Ollie says Milo lies. Crista says either all three of Fletcher, Oden and Maxim lie, or two of them tell the truth. Kandi says Sima, Osborn and Molly all tell the truth. Elanor says only one of Ryan, Olympia and Mohamed tells the truth. Ozias says Mona tells the truth. Oden says Maxim tells the truth. Mona says Ozias tells the truth. Jaymie says Kandi tells the truth. Delfina says either exactly one of Jerry, Otto and Melvin tells the truth, or all three of them. Orlando says Meadow lies. Alexis says Jim lies. Mallory says Marcus lies. Alejandro says exactly one of Sal, Ollie and Milo tells the truth.Meadow says Orlando lies. Raymond says only one of Yoland, Osian and Kate tells the truth. Phoebe says Andree, Maria and Madison all tell the truth. Orin says Ocean tells the truth. Morgan says Olivia tells the truth. Vernell says Bernita tells the truth. Shaunda says exactly two of Lorine, Madeleine and Mustafa tell the truth. Ka says only one of Dallas, Olga and Matteo lies. Mary says Mindy tells the truth. Mohamed says Miles lies. Madison says Mark lies. Osian says Mitchell tells the truth. Christie says either exactly two of Shaunda, Muriel and Maximilian tell the truth or none of them. Andree says Rashida tells the truth. Onyx says Marty lies. Ocean says Orin tells the truth. Rashida says either all three of Alejandro, Olivia and Morgan tell the truth or only one of them. Maxim says Oden tells the truth. Molly says Maverick lies. Muriel says Maximilian tells the truth. Lorine says exactly one of Vernell, Mallory and Marcus tells the truth.Mario says Orson tells the truth. Olympia says Miles tells the truth. Orly says Mindy lies. Jim lies. Kate says Mitchell lies. Ryan says Kristian tells the truth. Orson says Mario tells the truth. Sima says exactly one of Phoebe, Martin and Oriana tells the truth.Mustafa says Madeleine lies. Sal says Raymond, Mary and Orly all tell the truth. Tamika says Jaymie lies. Maria says Mark tells the truth. Audrie says either exactly two of Ka, Orin and Ocean tell the truth or none of them. Marty says Onyx lies. Melvin says Otto tells the truth. Olivia says Morgan tells the truth. Jerry says exactly one of Alexis, Orlando and Meadow tell the truth. Do Jaymie, Bernita, and Audrie tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:155", "request": "In this question, assume each person either always tells the truth or always lies. Milo says Martha lies. Delfina says exactly two of Sima, Martha and Milo tells the truth. Matteo says Octavian lies. Shenna says Inga lies. Fletcher says exactly two of Raymond, Maxwell and Orla tells the truth. Rashida says exactly one of Teressa, Milton and Meredith tell the truth. Orla says Maxwell lies. Kandi says either exactly two of Alexis, Monica and Olympia tell the truth or none of them. Oprah says Max tells the truth. Maverick says Olaf tells the truth. Alexis says either all three of Fletcher, Miles and Oden lie, or two of them tell the truth. Marcus says Disha lies. Phoebe says only one of Jerry, Mark and Miranda lies. Audrie tells the truth. Antwan says either all three of Shaunda, Martin and Miller lie, or two of them tell the truth. Monica says Olympia tells the truth. Millie says Mia tells the truth. Sima says either exactly two of Ryan, Mia and Millie tell the truth or none of them. Nicole says Owyn tells the truth. Olaf says Maverick tells the truth. Delbert says Jim tells the truth. Olympia says Monica tells the truth. Teressa says Delbert tells the truth. Sherrie says only one of Jamey, Octavio and Olive tells the truth. Bahar says Uri lies. Miranda says Kate lies. Helene says either exactly one of Ka, Owyn and Nicole tells the truth, or all three of them. Oden says Miles tells the truth. Odell says Oswald lies. Osmond says Malcolm lies. Orhan says Michaela lies. Alejandro says exactly two of Rashida, Odell and Oswald tells the truth. Max says Oprah tells the truth. Miller says Martin tells the truth. Jerry says exactly one of Shenna, Malcolm and Osmond tell the truth. Jamey says exactly two of Phoebe, Octavian and Matteo tells the truth. Oleg says Uri tells the truth. Martha says Milo lies. Owyn says Nicole tells the truth. Vernell says either all three of Delfina, Max and Oprah lie, or two of them tell the truth. Shaunda says Audrie, Opal and Owen all tell the truth. Mark says Kate tells the truth. Raymond says either exactly one of Fidel, Maverick and Olaf tells the truth, or all three of them. Opal says Micah tells the truth. Mia says Millie tells the truth. Meredith says Milton lies. Fidel says only one of Helene, Oleg and Bahar lies. Octavio says Molly tells the truth. Marsha says Michaela tells the truth. Jim says Sherrie tells the truth. Olive says Molly lies. Owen says Micah lies. Inga says only one of Willian, Marsha and Orhan lies. Ka says only one of Alejandro, Miguel and Ollie lies. Willian says Vernell lies. Miguel says Moses tells the truth. Disha says Marcus lies. Ryan says exactly two of Antwan, Marcus and Disha tell the truth. Miles says Oden tells the truth. Ollie says Moses lies. Malcolm says Osmond lies. Milton says Meredith lies. Octavian says Matteo lies. Martin says Miller tells the truth. Oswald says Odell lies. Maxwell says Orla lies. Do Sherrie, Oden, and Kandi tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:157", "request": "In this question, assume each person either always tells the truth or always lies. Mario says Mavis tells the truth. Octavia says Malcolm tells the truth. Delfina says only one of Dallas, Octavio and Mickey lies. Milo says Moses tells the truth. Kristian says exactly two of Kandi, Maya and Morris tells the truth. Jamey says either exactly one of Kristian, Malcolm and Octavia tells the truth, or all three of them. Mickey says Micah lies. Malcolm says Octavia tells the truth. Raymond says either all three of Shaunda, Milo and Moses tell the truth or only one of them. Ryan says Jamey tells the truth. Ollie says Millie tells the truth. Oakleigh says Melissa tells the truth. Mia says Uri lies. Melinda says Maximilian tells the truth. Millie says Ollie tells the truth. Kandi lies. Osborne says Mavis lies. Melissa says Oakleigh tells the truth. Marina says Odette lies. Octavio says Micah tells the truth. Moses says Milo tells the truth. Dallas says Tamika lies. Maya says Morris lies. Shaunda says Elanor lies. Gwenn says only one of Delfina, Oden and Marina tells the truth. Sal says either exactly one of Willian, Ollie and Millie tells the truth, or all three of them. Elanor says only one of Delbert, Mario and Osborne lies. Delbert says either exactly two of Gwenn, Melissa and Oakleigh tell the truth or none of them. Oden says Odette tells the truth. Oscar says Maxim tells the truth. Maximilian says Melinda tells the truth. Uri says Mia lies. Willian says exactly one of Raymond, Mia and Uri tell the truth. Jim says either exactly one of Ryan, Maxim and Oscar tells the truth, or all three of them. Morris says Maya lies. Maxim says Oscar tells the truth. Tamika says either all three of Jim, Maximilian and Melinda lie, or two of them tell the truth. Do Shaunda, Marina, and Sal tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:160", "request": "In this question, assume each person either always tells the truth or always lies. Quan is at the barbershop. The person at the amusement park tells the truth. The person at the ice skating rink thinks their friend is lying. The person at the shopping mall says the person at the cafe tells the truth. The person at the barbershop says the person at the train station lies. Hiroshi is at the train station. Farid is at the observatory. Ethan is at the ice skating rink. The person at the botanical garden says the person at the beach lies. The person at the botanical garden says the person at the cafe lies. Maya is at the school. The person at the observatory says the person at the ice skating rink lies. Jake is at the campground. Max is at the aquarium. Theo is at the amusement park. Jaxon is at the shopping mall. Kehinde is at the art gallery. Liam is at the beach. The person at the hotel says the person at the ice skating rink lies. The person at the aquarium says the person at the ice skating rink tells the truth. Zara is at the hotel. Soren is at the botanical garden. The person at the ice skating rink says the person at the amusement park tells the truth. Anika is at the cafe. The person at the school says the person at the train station lies. The person at the ice skating rink says the person at the campground lies. The person at the cafe says the person at the aquarium tells the truth. The person at the art gallery says the person at the train station lies. The person at the train station says the person at the botanical garden tells the truth. The person at the ice skating rink saw a firetruck. Does the person at the school tell the truth? Does the person at the train station tell the truth? Does the person at the botanical garden tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:163", "request": "In this question, assume each person either always tells the truth or always lies. Jim says Vernell lies. Raymond says either all three of Alexis, Malcolm and Mohamed lie, or two of them tell the truth. Ryan says only one of Elanor, Orla and Martin lies. Kristian says Helene lies. Alejandro says Kandi tells the truth. Muhammad says Oswin lies. Helene says exactly one of Delfina, Matteo and Minerva tells the truth.Martha says Melanie tells the truth. Oriana says Otto lies. Inga says Amberly tells the truth. Mariana says Moses tells the truth. Mohamed says Malcolm tells the truth. Melody says Mariah tells the truth. Otto says Oriana lies. Sima says only one of Christie, Max and Oscar tells the truth. Leda says either exactly two of Ryan, Melody and Mariah tell the truth or none of them. Sherrie says exactly one of Fidel, Oriana and Otto tells the truth.Kandi says only one of Bernita, Martha and Maria lies. Minerva says Matteo lies. Oscar says Mehran lies. Oswin says Muhammad lies. Madeleine says Odell lies. Fletcher says exactly one of Ka, Marvin and Osborn tells the truth.Mariah says Melody tells the truth. Maria says Melanie lies. Elanor says either all three of Raymond, Moses and Mariana tell the truth or only one of them. Amberly says exactly two of Alejandro, Mario and Mustafa tells the truth. Mario says Mustafa lies. Moses says Mariana tells the truth. Osbert says Nishanth lies. Marvin says Osborn lies. Monica says Marina tells the truth. Fidel says Shenna tells the truth. Vernell says Fletcher lies. Oran says Mercedes tells the truth. Dallas says Leda lies. Nicole says Nishanth tells the truth. Christie says only one of Inga, Nicole and Osbert lies. Orla says Olive tells the truth. Odell says Madeleine lies. Mercedes says Oran tells the truth. Max says Mehran tells the truth. Osborn says Marvin lies. Mustafa says Mario lies. Shenna says either exactly two of Sima, Marina and Monica tell the truth or none of them. Marina says Monica tells the truth. Alexis says Gwenn lies. Malcolm says Mohamed tells the truth. Matteo says Minerva lies. Bernita lies. Gwenn says either all three of Jim, Oran and Mercedes tell the truth or only one of them. Ka says exactly one of Sherrie, Odell and Madeleine tell the truth. Martin says Olive lies. Delfina says exactly one of Dallas, Oswin and Muhammad tell the truth. Do Delfina, Matteo, and Kristian tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:164", "request": "In this question, assume each person either always tells the truth or always lies. Michaela says Marshall lies. Octavius says Oleg tells the truth. Marlon says Minnie tells the truth. Teressa says exactly one of Rashida, Omar and Mario tell the truth. Omar says Mario lies. Marina says Matthew lies. Orson says Mason tells the truth. Vernell says Shenna tells the truth. Ka says Raymond lies. Alexis says only one of Jim, Maximilian and Marina lies. Otis says Orion lies. Micah says Osborne tells the truth. Shalonda says exactly one of Willian, Maynard and Melissa tell the truth. Onyx says Othello tells the truth. Hritik says Nicole lies. Mason says Orson tells the truth. Oprah says Marvin lies. Leda says only one of Crista, Maxim and Hritik lies. Crista says either exactly one of Bernita, Octavius and Oleg tells the truth, or all three of them. Odessa says Marvin tells the truth. Bernita says either exactly two of Vernell, Minnie and Marlon tell the truth or none of them. Maximilian says Matthew tells the truth. Mario says Omar lies. Alejandro says either all three of Alexis, Mason and Orson lie, or two of them tell the truth. Mickey says Osborne lies. Maynard says Melissa lies. Marshall says Michaela lies. Raymond says either all three of Ryan, Martin and Margaret tell the truth or only one of them. Orion says Otis lies. Jim says Shalonda tells the truth. Oleg says Octavius tells the truth. Ryan says either all three of Teressa, Onyx and Othello lie, or two of them tell the truth. Rashida tells the truth. Martin says Margaret tells the truth. Maxim says Nicole tells the truth. Melissa says Maynard lies. Minnie says Marlon tells the truth. Shenna says exactly one of Andree, Otis and Orion tells the truth.Othello says Onyx tells the truth. Andree says only one of Ka, Odessa and Oprah lies. Delbert says only one of Leda, Micah and Mickey tells the truth. Margaret says Martin tells the truth. Willian says exactly two of Delbert, Marshall and Michaela tell the truth. Do Willian, Leda, and Alejandro tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:165", "request": "In this question, assume each person either always tells the truth or always lies. Jamey says either exactly two of Willian, Maybelle and Melanie tell the truth or none of them. Shenna says exactly one of Christie, Ottoline and Ollie tell the truth. Maynard says Odysseus tells the truth. Willian says either all three of Ka, Osric and Oda lie, or two of them tell the truth. Helene says Shalonda lies. Mallory says Mandy lies. Audrie says Vina, Opal and Maximilian all tell the truth. Mariana says Megan tells the truth. Hritik says Oden tells the truth. Inga says only one of Rashida, Mike and Morris lies. Vina says only one of Jerry, Madison and Octavian lies. Miguel says Ozias tells the truth. Marlon says Owyn tells the truth. Oona says Otto lies. Oda says Osric tells the truth. Maximilian says John lies. Miranda says Mason lies. Leda says either all three of Fidel, Miguel and Ozias tell the truth or only one of them. Obadiah says Owen tells the truth. Fidel says only one of Audrie, Obadiah and Molly tells the truth. Sima says either exactly two of Leda, Maynard and Odysseus tell the truth or none of them. Rashida says exactly one of Conception, Nishanth and Osbert tells the truth.Andree says exactly one of Fletcher, Kate and Micah tell the truth. Mike says Marvin tells the truth. Oscar says Millie tells the truth. Molly says Owen lies. Madison says Oran tells the truth. Mary says Matteo lies. Osric says Oda tells the truth. Ka says either exactly two of Sal, Odette and Mickey tell the truth or none of them. Megan says Mariana tells the truth. Marcus says Orhan tells the truth. Octavian says Oran lies. Nishanth says Osbert lies. Sal says Shaunda tells the truth. Opal says John tells the truth. Ozias says Miguel tells the truth. Murray says Mason tells the truth. Christie says only one of Raymond, Osian and Mallory lies. Orhan says Marcus tells the truth. Tamika says only one of Andree, Murray and Miranda tells the truth. Jerry says either all three of Ryan, Muriel and Maverick lie, or two of them tell the truth. Mickey says Odette tells the truth. Melanie says Maybelle tells the truth. Ryan says Inga lies. Micah says Kate lies. Sherrie says exactly two of Tamika, Monica and Martin tell the truth. Raymond says Gwenn lies. Osian says Mandy tells the truth. Matteo says Mary lies. Ollie says Ottoline lies. Millie says Oscar tells the truth. Maybelle says Melanie tells the truth. Antwan says either exactly two of Yoland, Mariana and Megan tell the truth or none of them. Monica says Martin lies. Kristian says only one of Shenna, Marlon and Osborne tells the truth. Kandi says exactly one of Sima, Mary and Matteo tells the truth.Muriel says Maverick tells the truth. Conception lies. Shaunda says either all three of Antwan, Millie and Oscar lie, or two of them tell the truth. Maverick says Muriel tells the truth. Amberly says Kandi lies. Milton says Mateo tells the truth. Kate says Micah lies. Martin says Monica lies. Bahar says Mateo lies. Ottoline says Ollie lies. Odette says Mickey tells the truth. Maya says Otto tells the truth. Gwenn says Sherrie, Milton and Bahar all tell the truth. Osborne says Owyn lies. Fletcher says either all three of Jamey, Hritik and Oden lie, or two of them tell the truth. Morris says Marvin lies. Osbert says Nishanth lies. Shalonda says either all three of Kristian, Orhan and Marcus tell the truth or only one of them. Yoland says only one of Amberly, Maya and Oona tells the truth. Odysseus says Maynard tells the truth. Oden says Hritik tells the truth. Do Sherrie, Odysseus, and Helene tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:167", "request": "In this question, assume each person either always tells the truth or always lies. The person at the farm lies. Soren is at the zoo. The person at the vineyard says the person at the library lies. The person at the library says the person at the ice skating rink lies. The person at the ice skating rink tells the truth. The person at the ice skating rink saw a firetruck. Isabella is at the movie theater. The person at the movie theater tells the truth. The person at the vineyard saw a firetruck. Luna is at the cafe. The person at the planetarium says the person at the vineyard tells the truth. The person at the zoo says the person at the cafe tells the truth. Maya is at the planetarium. Ethan is at the farm. The person at the zoo says the person at the skate park lies. Max is at the beach. The person at the skate park says the person at the beach tells the truth. The person at the beach says the person at the planetarium lies. Kehinde is at the airport. The person at the airport lies. Charlie is at the ice skating rink. The person at the ice skating rink thinks their neighbor is telling the truth. Elowen is at the vineyard. Quan is at the skate park. Tala is at the library. Does the person at the zoo tell the truth? Does the person at the skate park tell the truth? Does the person at the beach tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:173", "request": "In this question, assume each person either always tells the truth or always lies. Ozzie says Mandy tells the truth. Ka says only one of Tamika, Mitchell and Mariana tells the truth. Omar says Oscar lies. Oscar says Omar lies. Natasha says Osric lies. Lorine says exactly one of Kristian, Melissa and Melinda tells the truth.Opal says Oda tells the truth. Tamika says either exactly one of Jamey, Mandy and Ozzie tells the truth, or all three of them. Mercedes says McKenzie tells the truth. Oprah says Oda lies. Kate says Maxim lies. Kristian says Bernita, Opal and Oprah all tell the truth. Mina says Maxim tells the truth. Alexis says Lorine tells the truth. Delbert says Delfina tells the truth. Delfina says Gwenn lies. Mandy says Ozzie tells the truth. Bahar says Octavia lies. Mitchell says Olga tells the truth. Andree tells the truth. Maya says Odessa lies. Jamey says Crista tells the truth. Onyx says Mateo tells the truth. Crista says exactly two of Amberly, Maya and Odessa tells the truth. Mariana says Olga lies. McKenzie says Mercedes tells the truth. Gwenn says Andree tells the truth. Minerva says Mateo lies. Odessa says Maya lies. Bernita says exactly one of Ryan, Bahar and Octavia tells the truth.Octavia says Bahar lies. Christie says exactly two of Ka, Natasha and Osric tell the truth. Ryan says exactly one of Dallas, Omar and Oscar tell the truth. Melissa says Melinda lies. Sima says only one of Delbert, Mina and Kate lies. Osric says Natasha lies. Dallas says Sima lies. Amberly says either exactly two of Alexis, McKenzie and Mercedes tell the truth or none of them. Elanor says Christie, Onyx and Minerva all tell the truth. Melinda says Melissa lies. Do Tamika, Octavia, and Elanor tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:174", "request": "In this question, assume each person either always tells the truth or always lies. Andree says exactly two of Shenna, Miles and Mavis tell the truth. Mackenzie says Virginia tells the truth. Milton says Madison lies. Millie says Michaela tells the truth. Odin says Merlin tells the truth. Ofelia says Uri tells the truth. Sherrie says Ka, Muriel and Maynard all tell the truth. Tamika says either exactly two of Andree, Mustafa and Osric tell the truth or none of them. Muriel says Milo tells the truth. Octavia says Mike lies. Oswald says Oran tells the truth. Mustafa says Osric tells the truth. Inga says exactly one of Helene, Mike and Octavia tell the truth. Micah says Osbert tells the truth. Jaymie says Leda tells the truth. Osric says Mustafa tells the truth. Mark says Mariah lies. Oswin says Owen tells the truth. Ka says exactly two of Fidel, Mariah and Mark tell the truth. Fidel says only one of Shaunda, Minerva and Osvaldo tells the truth. Vernell says either exactly one of Jamey, Bahar and Oleg tells the truth, or all three of them. Shenna says exactly one of Sherrie, Madison and Milton tells the truth.Mavis says Miles lies. Uri says Ofelia tells the truth. Mercedes says Osbert lies. Maynard says Milo lies. Mike says Octavia lies. Miles says Mavis lies. Michaela says Millie tells the truth. Merlin says Odin tells the truth. Christie says only one of Inga, Micah and Mercedes tells the truth. Jamey says either exactly one of Conception, Merlin and Odin tells the truth, or all three of them. Owen says Oswin tells the truth. Helene says either all three of Raymond, Millie and Michaela lie, or two of them tell the truth. Odile says Oran lies. Raymond says either exactly one of Kristian, Ofelia and Uri tells the truth, or all three of them. Virginia says Mackenzie tells the truth. Shaunda says Jaymie tells the truth. Mariah says Mark lies. Bahar says Oleg tells the truth. Oleg says Bahar tells the truth. Vina says either all three of Vernell, Owen and Oswin lie, or two of them tell the truth. Osvaldo says Orla lies. Conception says Christie, Oswald and Odile all tell the truth. Kristian lies. Madison says Milton lies. Leda says either exactly two of Vina, Mackenzie and Virginia tell the truth or none of them. Minerva says Orla tells the truth. Do Jaymie, Odin, and Tamika tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:177", "request": "In this question, assume each person either always tells the truth or always lies. Ryan says either exactly two of Kandi, Odette and Meredith tell the truth or none of them. Alejandro says exactly two of Alexis, Oliver and Marvin tell the truth. Olga says Onyx tells the truth. Madeleine says Owen tells the truth. Owen says Madeleine tells the truth. Fletcher says only one of Antwan, Morgan and Olympia lies. Delbert says Yoland tells the truth. Octavian says Millie lies. Ka says exactly two of Delbert, Orly and Mateo tell the truth. Mateo says Orly lies. Odette says Meredith tells the truth. Ozzie says Onyx lies. Miguel says Ollie lies. Olaf says Otto lies. Millie says Octavian lies. Christie says Ryan lies. Yoland tells the truth. Marina says Maynard tells the truth. Sherrie says exactly two of Jim, Osric and Omar tell the truth. Osric says Omar lies. Alexis says Willian lies. Martha says Melissa tells the truth. Raymond says Christie tells the truth. Shalonda says exactly one of Audrie, Mehran and Maybelle tell the truth. Mehran says Maybelle lies. Kandi says exactly two of Vernell, Oden and Octavius tell the truth. Conception says exactly one of Ka, Miguel and Ollie tell the truth. Marvin says Oliver lies. Ollie says Miguel lies. Vernell says either all three of Sherrie, Maynard and Marina tell the truth or only one of them. Maybelle says Mehran lies. Oden says Octavius lies. Olympia says Marcus lies. Orlando says Mavis lies. Sima says either all three of Shalonda, Melissa and Martha lie, or two of them tell the truth. Melissa says Martha tells the truth. Octavius says Oden lies. Orly says Mateo lies. Antwan says only one of Alejandro, Olga and Ozzie lies. Mavis says Orlando lies. Jim says only one of Jaymie, Osian and Olaf lies. Audrie says exactly one of Conception, Orlando and Mavis tells the truth.Jaymie says exactly two of Rashida, Millie and Octavian tell the truth. Osian says Otto tells the truth. Meredith says Odette tells the truth. Oliver says Marvin lies. Morgan says Marcus tells the truth. Maynard says Marina tells the truth. Rashida says Sima tells the truth. Willian says either exactly two of Raymond, Madeleine and Owen tell the truth or none of them. Omar says Osric lies. Do Vernell, Sherrie, and Fletcher tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:185", "request": "In this question, assume each person either always tells the truth or always lies. Beatriz is at the observatory. The person at the train station thinks their neighbor is telling the truth. Olivia is at the restaurant. The person at the bowling alley says the person at the airport tells the truth. Mateo is at the city hall. Nadia is at the airport. The person at the campground says the person at the bowling alley lies. The person at the zoo says the person at the gym tells the truth. The person at the cafe lies. Soren is at the hotel. Liam is at the amusement park. The person at the amusement park says the person at the train station tells the truth. The person at the theater says the person at the farm lies. Nia is at the theater. The person at the observatory says the person at the botanical garden lies. The person at the theater saw a firetruck. The person at the aquarium tells the truth. Kehinde is at the bowling alley. Max is at the campground. The person at the airport says the person at the amusement park tells the truth. The person at the botanical garden says the person at the theater tells the truth. The person at the farm says the person at the bowling alley tells the truth. Grace is at the train station. Emily is at the gym. The person at the restaurant lies. Isabella is at the aquarium. Tala is at the botanical garden. The person at the hotel says the person at the farm lies. The person at the gym says the person at the botanical garden tells the truth. The person at the city hall tells the truth. Devika is at the zoo. The person at the train station tells the truth. Elowen is at the cafe. Maya is at the farm. Does the person at the gym tell the truth? Does the person at the botanical garden tell the truth? Does the person at the theater tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:186", "request": "In this question, assume each person either always tells the truth or always lies. Liam is at the movie theater. The person at the beach says the person at the restaurant tells the truth. Kehinde is at the aquarium. The person at the amusement park saw a firetruck. The person at the aquarium tells the truth. Luna is at the library. Jaxon is at the amusement park. The person at the amusement park says the person at the beach tells the truth. Anika is at the restaurant. The person at the barbershop tells the truth. The person at the observatory says the person at the planetarium lies. Hiroshi is at the beach. Isabella is at the planetarium. Nia is at the barbershop. The person at the movie theater says the person at the observatory lies. The person at the restaurant tells the truth. Max is at the observatory. The person at the library says the person at the amusement park tells the truth. The person at the planetarium says the person at the library tells the truth. Does the person at the movie theater tell the truth? Does the person at the observatory tell the truth? Does the person at the planetarium tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:187", "request": "In this question, assume each person either always tells the truth or always lies. Audrie says only one of Tamika, Nishanth and Madison lies. Vernell says exactly two of Alexis, Melinda and Odin tell the truth. Osbert says Osborn tells the truth. Osborn says Osbert tells the truth. Phoebe says exactly two of Shaunda, Sanket and Odette tells the truth. Disha says Oran tells the truth. Opal says Oakley tells the truth. Othello says Otis lies. Helene says Audrie tells the truth. Odessa says Mustafa lies. Alexis says either all three of Phoebe, Osborn and Osbert lie, or two of them tell the truth. Mariana says Oran lies. Ka says either all three of Sal, Oda and Kate tell the truth or only one of them. Jaymie says Kandi tells the truth. Mehran says Miller tells the truth. Oswin says Marsha tells the truth. Otis says Othello lies. Malcolm says Oona lies. Sal says either all three of Vernell, Oswin and Marsha tell the truth or only one of them. Oona says Malcolm lies. Madeleine says Marina tells the truth. Miller says Mehran tells the truth. Andree says only one of Willian, Moses and Octavian lies. Oakley says Opal tells the truth. Murray says Mustafa tells the truth. Shenna says either all three of Leda, Opal and Oakley lie, or two of them tell the truth. Mitchell says Misty lies. Sanket says Odette lies. Willian says only one of Antwan, Disha and Mariana lies. Nicole says Marshall lies. Leda says exactly one of Helene, Misty and Mitchell tell the truth. Odette says Sanket lies. Tamika tells the truth. Octavian says Odell lies. Lorine says Andree lies. Nishanth says Ofelia tells the truth. Kate says Oda tells the truth. Misty says Mitchell lies. Crista says Jerry lies. Oda says Kate tells the truth. Marsha says Oswin tells the truth. Madison says Ofelia lies. Kandi says exactly two of Shenna, Nicole and Marshall tell the truth. Conception says only one of Lorine, Murray and Odessa tells the truth. Jerry says only one of Jaymie, Madeleine and Omar lies. Christie says Ka tells the truth. Shaunda says exactly one of Alejandro, Oona and Malcolm tell the truth. Shalonda says either exactly two of Conception, Mehran and Miller tell the truth or none of them. Alejandro says Teressa tells the truth. Omar says Marina lies. Antwan says Crista lies. Teressa says exactly one of Shalonda, Otis and Othello tells the truth.Odin says Melinda lies. Melinda says Odin lies. Moses says Odell tells the truth. Marshall says Nicole lies. Do Shalonda, Ka, and Christie tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:188", "request": "In this question, assume each person either always tells the truth or always lies. The person at the aquarium says the person at the beach lies. The person at the park thinks their friend is lying. The person at the skate park tells the truth. The person at the shopping mall lies. The person at the gym lies. The person at the beach says the person at the theater lies. Ethan is at the city hall. The person at the zoo says the person at the planetarium tells the truth. Jaxon is at the planetarium. Theo is at the aquarium. The person at the park says the person at the botanical garden tells the truth. Quan is at the airport. Soren is at the zoo. Jake is at the ice skating rink. The person at the zoo saw a firetruck. The person at the beach says the person at the park lies. The person at the botanical garden says the person at the zoo tells the truth. Hiroshi is at the train station. The person at the city hall says the person at the zoo lies. The person at the zoo lies. Kehinde is at the gym. The person at the amusement park says the person at the park lies. Nadia is at the shopping mall. The person at the park says the person at the airport tells the truth. The person at the botanical garden says the person at the ice skating rink tells the truth. Nia is at the beach. Charlie is at the amusement park. Zara is at the botanical garden. Farid is at the theater. The person at the train station says the person at the park lies. Max is at the park. The person at the aquarium thinks their neighbor is telling the truth. Mateo is at the skate park. Does the person at the aquarium tell the truth? Does the person at the beach tell the truth? Does the person at the park tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:190", "request": "In this question, assume each person either always tells the truth or always lies. Melanie says Oriana tells the truth. Melody says Maybelle lies. Oakleigh says Nicole tells the truth. Sal says Andree tells the truth. Jaymie says only one of Shalonda, Disha and Melody lies. Sherrie says either exactly one of Willian, Oriana and Melanie tells the truth, or all three of them. Amberly says Sherrie lies. Oscar says Mariah lies. Miles says Millicent lies. Odysseus says Marlon lies. Osmond says Orla tells the truth. Disha says Maybelle tells the truth. Inga says exactly two of Amberly, Millicent and Miles tell the truth. Fletcher says exactly one of Lorine, Oscar and Mariah tell the truth. Oriana says Melanie tells the truth. Octavio says Michaela lies. Maynard says Olaf lies. Millicent says Miles lies. Orla says Osmond tells the truth. Lorine says Shaunda tells the truth. Ovid says Michaela tells the truth. Shalonda says Kandi lies. Shaunda says only one of Leda, Oakleigh and Mike lies. Mariah says Oscar lies. Mike says Nicole lies. Oakley says Mavis lies. Leda says exactly two of Jim, Marlon and Odysseus tell the truth. Marlon says Odysseus lies. Kandi says Inga, Ovid and Octavio all tell the truth. Willian says either exactly two of Sal, Orla and Osmond tell the truth or none of them. Mavis says Oakley lies. Vernell says exactly one of Jaymie, Olaf and Maynard tell the truth. Jim tells the truth. Andree says exactly one of Fletcher, Mavis and Oakley tells the truth.Olaf says Maynard lies. Do Inga, Orla, and Vernell tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:191", "request": "In this question, assume each person either always tells the truth or always lies. Shenna says either exactly one of Shaunda, Miller and Mona tells the truth, or all three of them. Kandi says either all three of Fidel, Murray and Mohamed tell the truth or only one of them. Gwenn says either exactly two of Delfina, Michelle and Osian tell the truth or none of them. Helene says Bernita lies. Amberly says Phoebe, Oakley and Mercedes all tell the truth. Sherrie says either exactly two of Andree, Orin and Maverick tell the truth or none of them. Teressa says exactly one of Shenna, Nishanth and Mariana tells the truth.Tamika says either all three of Raymond, Mia and Maximilian lie, or two of them tell the truth. Melanie says Odin lies. Jerry says only one of Jim, Melinda and Mark lies. Inga says Jerry lies. Yoland says exactly one of Sima, Odin and Melanie tell the truth. Andree says exactly one of Leda, Muhammad and Michaela tells the truth.Michelle says Osian tells the truth. Mehran says Meredith lies. Christie says exactly two of Lorine, Orlando and Madison tell the truth. Odin says Melanie lies. Miriam says Moses lies. Mona says Miller tells the truth. Vernell says either all three of Christie, Disha and John tell the truth or only one of them. Mandy says Mike tells the truth. Delfina says Helene lies. Phoebe says only one of Tamika, Oda and Mehran lies. Mustafa says Mike lies. Virginia says Natasha lies. Disha says John tells the truth. Maximilian says Mia tells the truth. Maverick says Orin tells the truth. Leda says only one of Conception, Oswald and Virginia lies. Muhammad says Michaela lies. Maurice says Marvin tells the truth. Lorine says Alexis lies. Moses says Miriam lies. Marvin says Maurice tells the truth. Madison says Orlando lies. Odell says Osborn lies. Orin says Maverick tells the truth. Michaela says Muhammad lies. Orlando says Madison lies. Jim says only one of Teressa, Matteo and Ofelia lies. Melinda says Oleg tells the truth. Miller says Mona tells the truth. Maybelle says Michael tells the truth. Osian says Michelle tells the truth. Raymond says exactly one of Kandi, Miriam and Moses tell the truth. Sima says only one of Ka, Maybelle and Margaret tells the truth. Alexis says only one of Yoland, Mandy and Mustafa lies. Shalonda says exactly two of Amberly, Osborn and Odell tells the truth. Oda says Meredith tells the truth. Nishanth says Mariana lies. Bernita says Sherrie lies. Mark says Oleg lies. Oswald says Natasha tells the truth. Murray says Mohamed tells the truth. Shaunda lies. Ka says either exactly one of Shalonda, Marvin and Maurice tells the truth, or all three of them. Osborn says Odell lies. Mia says Maximilian tells the truth. Mariana says Nishanth lies. John says Disha tells the truth. Oakley says Maynard tells the truth. Conception says Vernell lies. Ofelia says Odette lies. Fidel says Inga lies. Margaret says Michael lies. Mohamed says Murray tells the truth. Mercedes says Maynard lies. Matteo says Odette tells the truth. Do Phoebe, Miller, and Gwenn tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:192", "request": "In this question, assume each person either always tells the truth or always lies. Mindy says Olga lies. Mustafa says Odell lies. Melanie says Melinda lies. Yoland says only one of Shalonda, Osbert and Mindy lies. Odin says Ozias tells the truth. Margaret says Miranda lies. Jaymie says Conception lies. Rashida says Yoland lies. Mona says McKenzie lies. Delbert says only one of Jim, Odette and Melanie lies. Kristian says exactly one of Audrie, Mona and McKenzie tells the truth.Orhan says Mark tells the truth. Shalonda says either all three of Jaymie, Orhan and Mark lie, or two of them tell the truth. Bernita tells the truth. Jim says Inga, Monica and Margaret all tell the truth. Ozias says Odin tells the truth. Maurice says Oliver lies. Odell says Mustafa lies. Monica says Miranda tells the truth. Audrie says Bernita, Maya and Maurice all tell the truth. Osbert says Olga tells the truth. Onyx says Hritik tells the truth. Dallas says Antwan lies. Vina says Dallas lies. Helene says exactly one of Delbert, Milo and Mariana tells the truth.Milo says Mariana lies. McKenzie says Mona lies. Inga says exactly one of Vina, Odell and Mustafa tells the truth.Conception says only one of Kristian, Onyx and Marina lies. Mark says Orhan tells the truth. Antwan says either exactly one of Rashida, Odin and Ozias tells the truth, or all three of them. Mariana says Milo lies. Marina says Hritik lies. Maya says Oliver tells the truth. Odette says Melinda tells the truth. Do Vina, Melanie, and Helene tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:196", "request": "In this question, assume each person either always tells the truth or always lies. Jerry says either all three of Conception, Oda and Uri tell the truth or only one of them. Michaela says Olivia lies. Antwan says Leda lies. Octavian says Mitchell tells the truth. Marcus says Oswin lies. Maya says Olivia tells the truth. Leda says either all three of Inga, Morgan and Mallory tell the truth or only one of them. Helene says Tamika lies. Conception says Lorine tells the truth. Ryan says only one of Shenna, Octavian and Oakley lies. Crista says only one of Raymond, Morris and Murray lies. Oswin says Marcus lies. Bernita says exactly one of Dallas, Marina and Oona tells the truth.Audrie says only one of Yoland, Owyn and Oleg lies. Raymond says only one of Delbert, Osborne and Osbert lies. Uri says Oda tells the truth. Morris says Odette tells the truth. Bahar says Moses tells the truth. Hritik says Mateo lies. Shenna says Bernita tells the truth. Delbert lies. Oona says Marina lies. Owyn says Orin tells the truth. Octavius says Owen lies. Gwenn says Vernell, Maya and Michaela all tell the truth. Marina says Oona lies. Oda says Uri tells the truth. Jaymie says Crista tells the truth. Oliver says Moses lies. Tamika says exactly one of Antwan, Hritik and Mateo tells the truth.Owen says Octavius lies. Maybelle says Mustafa tells the truth. Mustafa says Maybelle tells the truth. Osian says Osvaldo tells the truth. Osborne says Mariana tells the truth. Oleg says Orin lies. Vernell says exactly one of Helene, Octavius and Owen tells the truth.Inga says exactly two of Audrie, Marcus and Oswin tell the truth. Lorine says only one of Ryan, Bahar and Oliver lies. Mallory says Morgan tells the truth. Murray says Odette lies. Mateo says Hritik lies. Osvaldo says Osian tells the truth. Osbert says Mariana lies. Oakley says Mitchell lies. Kandi says Gwenn tells the truth. Yoland says Kristian lies. Dallas says either exactly one of Jaymie, Mustafa and Maybelle tells the truth, or all three of them. Kristian says either exactly two of Jerry, Osian and Osvaldo tell the truth or none of them. Morgan says Mallory tells the truth. Do Vernell, Tamika, and Kandi tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:197", "request": "In this question, assume each person either always tells the truth or always lies. Emily is at the skate park. Priya is at the farm. Soren is at the train station. The person at the farm says the person at the beach lies. The person at the museum lies. Hiroshi is at the observatory. The person at the zoo saw a firetruck. The person at the shopping mall tells the truth. Devika is at the zoo. The person at the theater says the person at the train station lies. Zara is at the city hall. Beatriz is at the cafe. Nia is at the museum. Isabella is at the shopping mall. The person at the observatory says the person at the farm lies. Ethan is at the beach. The person at the cafe says the person at the train station lies. The person at the zoo lies. The person at the train station says the person at the zoo tells the truth. Farid is at the restaurant. The person at the restaurant says the person at the zoo tells the truth. The person at the city hall tells the truth. The person at the skate park says the person at the farm tells the truth. Tala is at the theater. The person at the farm says the person at the train station tells the truth. Does the person at the farm tell the truth? Does the person at the train station tell the truth? Does the person at the zoo tell the truth? Your answer should be a list of three words, yes or no (for example, yes, no, yes).", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:web_of_lies:198", "request": "In this question, assume each person either always tells the truth or always lies. Mitchell says Melissa tells the truth. Sal says Willian tells the truth. Melissa says Mitchell tells the truth. Dallas says either exactly two of Jerry, Odette and Morgan tell the truth or none of them. Oakley says Ottoline lies. Jerry says only one of Shaunda, Nicole and Martin lies. Ryan says Shalonda, Osbert and Mohamed all tell the truth. Mohamed says Maria lies. Vina says either all three of Tamika, Muhammad and Morris tell the truth or only one of them. Willian says Helene tells the truth. Odette says Morgan tells the truth. Lorine says either exactly two of Leda, Maxwell and Uri tell the truth or none of them. Shalonda says Elanor tells the truth. Ka says only one of Jaymie, Molly and Michelle tells the truth. Osborn says Max tells the truth. Helene says either all three of Ka, Mallory and Mustafa tell the truth or only one of them. Mustafa says Mallory tells the truth. Bernita says Crista lies. Tamika says exactly one of Lorine, Oakley and Ottoline tells the truth.Elanor says exactly two of Sal, Osmond and Osborne tell the truth. Marvin says Mariana tells the truth. Michelle says Maybelle lies. Maxwell says Uri tells the truth. Molly says Maybelle tells the truth. Morris says Muhammad tells the truth. Shaunda tells the truth. Osmond says Osborne lies. Uri says Maxwell tells the truth. Andree says Ryan tells the truth. Leda says either all three of Dallas, Max and Osborn lie, or two of them tell the truth. Rashida says Vina lies. Ottoline says Oakley lies. Nicole says Mercedes tells the truth. Morgan says Odette tells the truth. Martin says Mercedes lies. Max says Osborn tells the truth. Mallory says Mustafa tells the truth. Yoland says either all three of Conception, Marvin and Mariana lie, or two of them tell the truth. Crista says Yoland tells the truth. Jaymie says either exactly one of Bernita, Mitchell and Melissa tells the truth, or all three of them. Conception says Rashida tells the truth. Osbert says Maria tells the truth. Mariana says Marvin tells the truth. Muhammad says Morris tells the truth. Osborne says Osmond lies. Do Jaymie, Crista, and Andree tell the truth? Your answer should be a list of three words separated by commas. Each of them must be either yes (if the person tells the truth), no (if the person lies), or unknown (if the person's truth cannot be determined). For example, or .", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:000", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: bragging stimuli tinny acton dome bolivia gardner posit thinnish polymerase markovian trachea easy liquidate bag perjure beard aborigine\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"bragging\": \"b\" (2). \"stimuli\": \"s\" (19). \"tinny\": \"t\" (20). \"acton\": \"a\" (1). \"dome\": \"d\" (4). \"bolivia\": \"b\" (2). \"gardner\": \"g\" (7). \"posit\": \"p\" (16). \"thinnish\": \"t\" (20). \"polymerase\": \"p\" (16). \"markovian\": \"m\" (13). \"trachea\": \"t\" (20). \"easy\": \"e\" (5). \"liquidate\": \"l\" (12). \"bag\": \"b\" (2). \"perjure\": \"p\" (16). \"beard\": \"b\" (2). \"aborigine\": \"a\" (1).\nThought 2: We now have: (1) [\"aborigine\" ? \"acton\" ? \"easy\"] < (2) [\"bag\" ? \"bolivia\" ? \"beard\" ? \"bragging\"] < (4) \"dome\" < (5) \"easy\" < (7) \"gardner\" < (12) \"liquidate\" < (13) \"markovian\" < (16) [\"posit\" ? \"polymerase\" ? \"perjure\"] < (19) \"stimuli\" < (20) [\"tinny\" ? \"thinnish\" ? \"trachea\"].\nThought 3: Now let's sort this subpart [\"aborigine\" ? \"acton\" ? \"easy\"] by looking at their second letters. The second letter: \"aborigine\": \"b\" (2). \"acton\": \"c\" (3). \"easy\": \"a\" (1).\nThought 4: We now have: (1) \"easy\" < (2) \"aborigine\" < (3) \"acton\" for the subpart. Hence, we have \"easy\" < \"aborigine\" < \"acton\" < [\"bag\" ? \"bolivia\" ? \"beard\" ? \"bragging\"] < \"dome\" < \"easy\" < \"gardner\" < \"liquidate\" < \"markovian\" < [\"posit\" ? \"polymerase\" ? \"perjure\"] < \"stimuli\" < [\"tinny\" ? \"thinnish\" ? \"trachea\"].\nThought 5: Now let's sort this subpart [\"bag\" ? \"bolivia\" ? \"beard\" ? \"bragging\"] by looking at their second letters. The second letter: \"bag\": \"a\" (1). \"bolivia\": \"o\" (15). \"beard\": \"e\" (5). \"bragging\": \"r\" (18).\nThought 6: We now have: (1) \"bag\" < (5) \"beard\" < (15) \"bolivia\" < (18) \"bragging\" for the subpart. Hence, we have \"easy\" < \"aborigine\" < \"acton\" < \"bag\" < \"beard\" < \"bolivia\" < \"bragging\" < \"dome\" < \"easy\" < \"gardner\" < \"liquidate\" < \"markovian\" < [\"posit\" ? \"polymerase\" ? \"perjure\"] < \"stimuli\" < [\"tinny\" ? \"thinnish\" ? \"trachea\"].\nThought 7: Now let's sort this subpart [\"posit\" ? \"polymerase\" ? \"perjure\"] by looking at their second letters. The second letter: \"posit\": \"o\" (15). \"polymerase\": \"o\" (15). \"perjure\": \"e\" (5).\nThought 8: We now have: (5) \"perjure\" < (15) [\"posit\" ? \"polymerase\"] for the subpart. Hence, we have \"easy\" < \"aborigine\" < \"acton\" < \"bag\" < \"beard\" < \"bolivia\" < \"bragging\" < \"dome\" < \"easy\" < \"gardner\" < \"liquidate\" < \"markovian\" < \"perjure\" < [\"posit\" ? \"polymerase\"] < \"stimuli\" < [\"tinny\" ? \"thinnish\" ? \"trachea\"].\nThought 9: Now let's sort this subpart [\"posit\" ? \"polymerase\"] by looking at their third letters. The third letter: \"posit\": \"s\" (19). \"polymerase\": \"y\" (25).\nThought 10: We now have: (19) \"posit\" < (25) \"polymerase\" for the subpart. Hence, we have \"easy\" < \"aborigine\" < \"acton\" < \"bag\" < \"beard\" < \"bolivia\" < \"bragging\" < \"dome\" < \"easy\" < \"gardner\" < \"liquidate\" < \"markovian\" < \"perjure\" < \"posit\" < \"polymerase\" < \"stimuli\" < [\"tinny\" ? \"thinnish\" ? \"trachea\"].\nThought 11: Now let's sort this subpart [\"tinny\" ? \"thinnish\" ? \"trachea\"] by looking at their second letters. The second letter: \"tinny\": \"i\" (9). \"thinnish\": \"i\" (9). \"trachea\": \"r\" (18).\nThought 12: We now have: (9) [\"tinny\" ? \"thinnish\"] < (18) \"trachea\" for the subpart. Hence, we have \"easy\" < \"aborigine\" < \"acton\" < \"bag\" < \"beard\" < \"bolivia\" < \"bragging\" < \"dome\" < \"easy\" < \"gardner\" < \"liquidate\" < \"markovian\" < \"perjure\" < \"posit\" < \"polymerase\" < \"stimuli\" < \"tinny\" < \"thinnish\" < \"trachea\".\nThought 13: I have now sorted all the words. The answer is aborigine acton bag beard bolivia bragging dome easy gardner liquidate markovian perjure posit polymerase stimuli tinny thinnish trachea\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:001", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that j and p are the first two letters. Sort the following words with the new alphabet and separate them with comma: clergymen, niggle, threefold, coddington, murk, coachmen, justifications, embark, manipulations, manipulations, chauncey, allot, hobble, gazpacho, companion, disenfranchisement, pvc, granular, demonstrations, muslim, fatten, yeats, too, pristine, singlet", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:002", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that x is the last letter. Sort the following words with the new alphabet and separate them with comma: oversimplifications, consternate, administrations, collaborations, blest, buxton, manipulations, tariff, quizzes, sound, xerxes, institutionalization, proximity", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:003", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that f and c are the last two letters. Sort the following words with the new alphabet and separate them with comma: scalp, personifications, diagnose, congratulations, honeybee, bombproof, corpulent, maharaja, damn, interpretations, blythe, fluorine, cytolysis, justifications, solicit, swipe, pore, code, misrepresentations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:006", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that t is the first letter. Sort the following words with the new alphabet and separate them with comma: pirouette, schwartz, inane, bateau, awash, jurisprudential, pussycat, organizations, shockley, communications, gullible, scottsdale, investigations, mistletoe, travelogue, upbring, manipulations, gown, auxin, nepenthe, eutectic, cubit, modifications, ow", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:010", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that i is the last letter. Sort the following words with the new alphabet and separate them with comma: sweatband, notifications, manipulations, murray, implementations, photosynthesis, transformations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:011", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: genteel paycheck gratitude beneath algorithm loyalty barbados pun angles\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"genteel\": \"g\" (7). \"paycheck\": \"p\" (16). \"gratitude\": \"g\" (7). \"beneath\": \"b\" (2). \"algorithm\": \"a\" (1). \"loyalty\": \"l\" (12). \"barbados\": \"b\" (2). \"pun\": \"p\" (16). \"angles\": \"a\" (1).\nThought 2: We now have: (1) [\"algorithm\" ? \"angles\"] < (2) [\"beneath\" ? \"barbados\"] < (7) [\"gratitude\" ? \"genteel\"] < (12) \"loyalty\" < (16) [\"paycheck\" ? \"pun\"].\nThought 3: Now let's sort this subpart [\"algorithm\" ? \"angles\"] by looking at their second letters. The second letter: \"algorithm\": \"l\" (12). \"angles\": \"n\" (14).\nThought 4: We now have: (12) \"algorithm\" < (14) \"angles\" for the subpart. Hence, we have \"algorithm\" < \"angles\" < [\"beneath\" ? \"barbados\"] < [\"gratitude\" ? \"genteel\"] < \"loyalty\" < [\"paycheck\" ? \"pun\"].\nThought 5: Now let's sort this subpart [\"beneath\" ? \"barbados\"] by looking at their second letters. The second letter: \"beneath\": \"e\" (5). \"barbados\": \"a\" (1).\nThought 6: We now have: (1) \"barbados\" < (5) \"beneath\" for the subpart. Hence, we have \"algorithm\" < \"angles\" < \"barbados\" < \"beneath\" < [\"gratitude\" ? \"genteel\"] < \"loyalty\" < [\"paycheck\" ? \"pun\"].\nThought 7: Now let's sort this subpart [\"gratitude\" ? \"genteel\"] by looking at their second letters. The second letter: \"gratitude\": \"r\" (18). \"genteel\": \"e\" (5).\nThought 8: We now have: (5) \"genteel\" < (18) \"gratitude\" for the subpart. Hence, we have \"algorithm\" < \"angles\" < \"barbados\" < \"beneath\" < \"genteel\" < \"gratitude\" < \"loyalty\" < [\"paycheck\" ? \"pun\"].\nThought 9: Now let's sort this subpart [\"paycheck\" ? \"pun\"] by looking at their second letters. The second letter: \"paycheck\": \"a\" (1). \"pun\": \"u\" (21).\nThought 10: We now have: (1) \"paycheck\" < (21) \"pun\" for the subpart. Hence, we have \"algorithm\" < \"angles\" < \"barbados\" < \"beneath\" < \"genteel\" < \"gratitude\" < \"loyalty\" < \"paycheck\" < \"pun\".\nThought 11: I have now sorted all the words. The answer is algorithm angles barbados beneath gratitude genteel loyalty paycheck pun\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:012", "request": "Consider a new alphabet order [n, l, y, p, v, k, t, a, q, c, f, b, e, w, z, x, h, i, o, d, j, g, m, r, u, s]. Sort the following words with the new alphabet and separate them with comma: specifications, strip, wring, clearheaded, sisyphus, stanhope, symmetry, investigations, vs, manipulations, fungi, trample, driveway, midwinter, studious, rationalizations, encapsulate, despond, gob, mendelevium, personifications, purpose, christen", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:013", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: fair campground what ripley cupric ancestor\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"fair\": \"f\" (6). \"campground\": \"c\" (3). \"what\": \"w\" (23). \"ripley\": \"r\" (18). \"cupric\": \"c\" (3). \"ancestor\": \"a\" (1).\nThought 2: We now have: (1) \"ancestor\" < (3) [\"campground\" ? \"cupric\"] < (6) \"fair\" < (18) \"ripley\" < (23) \"what\".\nThought 3: Now let's sort this subpart [\"campground\" ? \"cupric\"] by looking at their second letters. The second letter: \"campground\": \"a\" (1). \"cupric\": \"u\" (21).\nThought 4: We now have: (1) \"campground\" < (21) \"cupric\" for the subpart. Hence, we have \"ancestor\" < \"campground\" < \"cupric\" < \"fair\" < \"ripley\" < \"what\".\nThought 5: I have now sorted all the words. The answer is ancestor campground cupric fair ripley what\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:014", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that r and p are swapped. Sort the following words with the new alphabet and separate them with comma: syndrome, rationalizations, therefrom, manipulations, photosynthesis, administrations, specifications", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:015", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that r is the first letter. Sort the following words with the new alphabet and separate them with comma: chivalry, telecommunications, grammarian, polkadot, rockaway, endothelial, scurrilous, justifications, unconstitutionalities, bilinear, ferocity, derivate, cacao, eaten, responsibilities, phenotype, brenda, recommendations, irreducible, knutson, gastronomic", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:016", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: sorption ruminate shipman saturnine secondhand ingrained bomb auspices telepathy montana this allan alan derek certainty planet castanet crupper trio spur\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"sorption\": \"s\" (19). \"ruminate\": \"r\" (18). \"shipman\": \"s\" (19). \"saturnine\": \"s\" (19). \"secondhand\": \"s\" (19). \"ingrained\": \"i\" (9). \"bomb\": \"b\" (2). \"auspices\": \"a\" (1). \"telepathy\": \"t\" (20). \"montana\": \"m\" (13). \"this\": \"t\" (20). \"allan\": \"a\" (1). \"alan\": \"a\" (1). \"derek\": \"d\" (4). \"certainty\": \"c\" (3). \"planet\": \"p\" (16). \"castanet\": \"c\" (3). \"crupper\": \"c\" (3). \"trio\": \"t\" (20). \"spur\": \"s\" (19).\nThought 2: We now have: (1) [\"allan\" ? \"alan\" ? \"auspices\" ? \"bomb\"] < (2) \"bomb\" < (3) [\"certainty\" ? \"castanet\" ? \"crupper\"] < (4) \"derek\" < (9) \"ingrained\" < (13) \"montana\" < (16) \"planet\" < (18) \"ruminate\" < (19) [\"shipman\" ? \"secondhand\" ? \"sorption\" ? \"spur\"] < (20) [\"telepathy\" ? \"this\" ? \"trio\"].\nThought 3: Now let's sort this subpart [\"allan\" ? \"alan\" ? \"auspices\" ? \"bomb\"] by looking at their second letters. The second letter: \"allan\": \"l\" (12). \"alan\": \"l\" (12). \"auspices\": \"u\" (21). \"bomb\": \"o\" (15).\nThought 4: We now have: (12) [\"allan\" ? \"alan\"] < (15) \"bomb\" < (21) \"auspices\" for the subpart.\nThought 5: Now let's sort this subpart [\"allan\" ? \"alan\"] by looking at their third letters. The third letter: \"allan\": \"l\" (12). \"alan\": \"n\" (14).\nThought 6: We now have: (12) \"allan\" < (14) \"alan\" for the subpart. Hence, we have \"allan\" < \"alan\" < \"bomb\" < \"auspices\".\nThought 7: Now let's sort this subpart [\"certainty\" ? \"castanet\" ? \"crupper\"] by looking at their second letters. The second letter: \"certainty\": \"e\" (5). \"castanet\": \"a\" (1). \"crupper\": \"r\" (18).\nThought 8: We now have: (1) \"castanet\" < (5) \"certainty\" < (18) \"crupper\" for the subpart.\nThought 9: Now let's sort this subpart [\"shipman\" ? \"secondhand\" ? \"sorption\" ? \"spur\"] by looking at their second letters. The second letter: \"shipman\": \"h\" (8). \"secondhand\": \"e\" (5). \"sorption\": \"o\" (15). \"spur\": \"p\" (16).\nThought 10: We now have: (5) \"secondhand\" < (8) \"shipman\" < (15) \"sorption\" < (16) \"spur\" for the subpart.\nThought 11: Now let's sort this subpart [\"telepathy\" ? \"this\" ? \"trio\"] by looking at their second letters. The second letter: \"telepathy\": \"e\" (5). \"this\": \"h\" (8). \"trio\": \"r\" (18).\nThought 12: We now have: (5) \"telepathy\" < (8) \"this\" < (18) \"trio\" for the subpart.\nThought 13: I have now sorted all the words. The answer is allan alan auspices bomb castanet certainty crupper derek ingrained montana planet secondhand shipman sorption spur telepathy this trio\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:018", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c and m are the last two letters. Sort the following words with the new alphabet and separate them with comma: medea, oversimplifications, clonic, chaplin, kennan, postpone, squabble, ipsilateral, misunderstandings, ussr, canal, modifications, referring, counterrevolutionaries, pyridine, cameroon, avalanche, rationalizations, fortran, cram, coachman", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:021", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: bunsen frilly lao trunkful protocol orthodontist data acrid nationwide votary copyright burlesque isotropy stock marcel laidlaw submitted surf broglie\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"bunsen\": \"b\" (2). \"frilly\": \"f\" (6). \"lao\": \"l\" (12). \"trunkful\": \"t\" (20). \"protocol\": \"p\" (16). \"orthodontist\": \"o\" (15). \"data\": \"d\" (4). \"acrid\": \"a\" (1). \"nationwide\": \"n\" (14). \"votary\": \"v\" (22). \"copyright\": \"c\" (3). \"burlesque\": \"b\" (2). \"isotropy\": \"i\" (9). \"stock\": \"s\" (19). \"marcel\": \"m\" (13). \"laidlaw\": \"l\" (12). \"submitted\": \"s\" (19). \"surf\": \"s\" (19). \"broglie\": \"b\" (2).\nThought 2: We now have: (1) \"acrid\" < (2) [\"burlesque\" ? \"bunsen\" ? \"broglie\"] < (3) \"copyright\" < (4) \"data\" < (6) \"frilly\" < (9) \"isotropy\" < (12) [\"lao\" ? \"laidlaw\"] < (13) \"marcel\" < (14) \"nationwide\" < (15) \"orthodontist\" < (16) \"protocol\" < (19) [\"stock\" ? \"submitted\" ? \"surf\"] < (20) \"trunkful\" < (22) \"votary\".\nThought 3: Now let's sort this subpart [\"burlesque\" ? \"bunsen\" ? \"broglie\"] by looking at their second letters. The second letter: \"burlesque\": \"u\" (21). \"bunsen\": \"u\" (21). \"broglie\": \"r\" (18).\nThought 4: We now have: (2) \"burlesque\" < (2) \"bunsen\" < (18) \"broglie\" for the subpart. Hence, we have \"acrid\" < \"burlesque\" < \"bunsen\" < \"broglie\" < \"copyright\" < \"data\" < \"frilly\" < \"isotropy\" < [\"lao\" ? \"laidlaw\"] < \"marcel\" < \"nationwide\" < \"orthodontist\" < \"protocol\" < [\"stock\" ? \"submitted\" ? \"surf\"] < \"trunkful\" < \"votary\".\nThought 5: Now let's sort this subpart [\"lao\" ? \"laidlaw\"] by looking at their second letters. The second letter: \"lao\": \"a\" (1). \"laidlaw\": \"a\" (1).\nThought 6: We now have: (1) \"lao\" < (1) \"laidlaw\" for the subpart. Hence, we have \"acrid\" < \"burlesque\" < \"bunsen\" < \"broglie\" < \"copyright\" < \"data\" < \"frilly\" < \"isotropy\" < \"lao\" < \"laidlaw\" < \"marcel\" < \"nationwide\" < \"orthodontist\" < \"protocol\" < [\"stock\" ? \"submitted\" ? \"surf\"] < \"trunkful\" < \"votary\".\nThought 7: Now let's sort this subpart [\"stock\" ? \"submitted\" ? \"surf\"] by looking at their second letters. The second letter: \"stock\": \"t\" (20). \"submitted\": \"u\" (21). \"surf\": \"u\" (21).\nThought 8: We now have: (20) \"stock\" < (21) [\"submitted\" ? \"surf\"] for the subpart. Hence, we have \"acrid\" < \"burlesque\" < \"bunsen\" < \"broglie\" < \"copyright\" < \"data\" < \"frilly\" < \"isotropy\" < \"lao\" < \"laidlaw\" < \"marcel\" < \"nationwide\" < \"orthodontist\" < \"protocol\" < \"stock\" < [\"submitted\" ? \"surf\"] < \"trunkful\" < \"votary\".\nThought 9: Now let's sort this subpart [\"submitted\" ? \"surf\"] by looking at their third letters. The third letter: \"submitted\": \"b\" (2). \"surf\": \"r\" (18).\nThought 10: We now have: (2) \"submitted\" < (18) \"surf\" for the subpart. Hence, we have \"acrid\" < \"burlesque\" < \"bunsen\" < \"broglie\" < \"copyright\" < \"data\" < \"frilly\" < \"isotropy\" < \"lao\" < \"laidlaw\" < \"marcel\" < \"nationwide\" < \"orthodontist\" < \"protocol\" < \"stock\" < \"submitted\" < \"surf\" < \"trunkful\" < \"votary\".\nThought 11: I have now sorted all the words. The answer is acrid burlesque bunsen broglie copyright data frilly isotropy lao laidlaw marcel nationwide orthodontist protocol stock submitted surf trunkful votary\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:022", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: helvetica daffodil beaujolais sky wakeful wayside viet squabble didactic abash quiz\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"helvetica\": \"h\" (8). \"daffodil\": \"d\" (4). \"beaujolais\": \"b\" (2). \"sky\": \"s\" (19). \"wakeful\": \"w\" (23). \"wayside\": \"w\" (23). \"viet\": \"v\" (22). \"squabble\": \"s\" (19). \"didactic\": \"d\" (4). \"abash\": \"a\" (1). \"quiz\": \"q\" (17).\nThought 2: We now have: (1) \"abash\" < (2) \"beaujolais\" < (4) [\"daffodil\" ? \"didactic\"] < (8) \"helvetica\" < (17) \"quiz\" < (19) [\"sky\" ? \"squabble\"] < (22) \"viet\" < (23) [\"wakeful\" ? \"wayside\"].\nThought 3: Now let's sort this subpart [\"daffodil\" ? \"didactic\"] by looking at their second letters. The second letter: \"daffodil\": \"a\" (1). \"didactic\": \"i\" (9).\nThought 4: We now have: (1) \"daffodil\" < (9) \"didactic\" for the subpart. Hence, we have \"abash\" < \"beaujolais\" < \"daffodil\" < \"didactic\" < \"helvetica\" < \"quiz\" < [\"sky\" ? \"squabble\"] < \"viet\" < [\"wakeful\" ? \"wayside\"].\nThought 5: Now let's sort this subpart [\"sky\" ? \"squabble\"] by looking at their second letters. The second letter: \"sky\": \"k\" (11). \"squabble\": \"q\" (17).\nThought 6: We now have: (11) \"sky\" < (17) \"squabble\" for the subpart. Hence, we have \"abash\" < \"beaujolais\" < \"daffodil\" < \"didactic\" < \"helvetica\" < \"quiz\" < \"sky\" < \"squabble\" < \"viet\" < [\"wakeful\" ? \"wayside\"].\nThought 7: Now let's sort this subpart [\"wakeful\" ? \"wayside\"] by looking at their second letters. The second letter: \"wakeful\": \"a\" (1). \"wayside\": \"a\" (1).\nThought 8: We now have: (1) [\"wakeful\" ? \"wayside\"] for the subpart. Hence, we have \"abash\" < \"beaujolais\" < \"daffodil\" < \"didactic\" < \"helvetica\" < \"quiz\" < \"sky\" < \"squabble\" < \"viet\" < [\"wakeful\" ? \"wayside\"].\nThought 9: Now let's sort this subpart [\"wakeful\" ? \"wayside\"] by looking at their third letters. The third letter: \"wakeful\": \"k\" (11). \"wayside\": \"y\" (25).\nThought 10: We now have: (11) \"wakeful\" < (25) \"wayside\" for the subpart. Hence, we have \"abash\" < \"beaujolais\" < \"daffodil\" < \"didactic\" < \"helvetica\" < \"quiz\" < \"sky\" < \"squabble\" < \"viet\" < \"wakeful\" < \"wayside\".\nThought 11: I have now sorted all the words. The answer is abash beaujolais daffodil didactic helvetica quiz sky squabble viet wakeful wayside\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:025", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: balletomane brindisi mona secondhand blackstone effluvium beman swabby durward horse lament camille appetite mattock disputant\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"balletomane\": \"b\" (2). \"brindisi\": \"b\" (2). \"mona\": \"m\" (13). \"secondhand\": \"s\" (19). \"blackstone\": \"b\" (2). \"effluvium\": \"e\" (5). \"beman\": \"b\" (2). \"swabby\": \"s\" (19). \"durward\": \"d\" (4). \"horse\": \"h\" (8). \"lament\": \"l\" (12). \"camille\": \"c\" (3). \"appetite\": \"a\" (1). \"mattock\": \"m\" (13). \"disputant\": \"d\" (4).\nThought 2: We now have: (1) \"appetite\" < (2) [\"balletomane\" ? \"brindisi\" ? \"blackstone\" ? \"beman\"] < (3) \"camille\" < (4) [\"durward\" ? \"disputant\"] < (5) \"effluvium\" < (8) \"horse\" < (12) \"lament\" < (13) [\"mona\" ? \"mattock\"] < (19) [\"secondhand\" ? \"swabby\"].\nThought 3: Now let's sort this subpart [\"balletomane\" ? \"brindisi\" ? \"blackstone\" ? \"beman\"] by looking at their second letters. The second letter: \"balletomane\": \"a\" (1). \"brindisi\": \"r\" (18). \"blackstone\": \"l\" (12). \"beman\": \"e\" (5).\nThought 4: We now have: (1) \"balletomane\" < (5) \"beman\" < (12) \"blackstone\" < (18) \"brindisi\" for the subpart. Hence, we have \"appetite\" < \"balletomane\" < \"beman\" < \"camille\" < [\"durward\" ? \"disputant\"] < \"effluvium\" < \"horse\" < \"lament\" < [\"mona\" ? \"mattock\"] < [\"secondhand\" ? \"swabby\"].\nThought 5: Now let's sort this subpart [\"durward\" ? \"disputant\"] by looking at their second letters. The second letter: \"durward\": \"u\" (21). \"disputant\": \"i\" (9).\nThought 6: We now have: (9) \"disputant\" < (21) \"durward\" for the subpart. Hence, we have \"appetite\" < \"balletomane\" < \"beman\" < \"camille\" < \"disputant\" < \"effluvium\" < \"horse\" < \"lament\" < [\"mona\" ? \"mattock\"] < [\"secondhand\" ? \"swabby\"] < \"durward\".\nThought 7: Now let's sort this subpart [\"mona\" ? \"mattock\"] by looking at their second letters. The second letter: \"mona\": \"o\" (15). \"mattock\": \"a\" (1).\nThought 8: We now have: (1) \"mattock\" < (15) \"mona\" for the subpart. Hence, we have \"appetite\" < \"balletomane\" < \"beman\" < \"camille\" < \"disputant\" < \"effluvium\" < \"horse\" < \"lament\" < \"mattock\" < [\"secondhand\" ? \"swabby\"] < \"durward\" < \"mona\".\nThought 9: Now let's sort this subpart [\"secondhand\" ? \"swabby\"] by looking at their second letters. The second letter: \"secondhand\": \"e\" (5). \"swabby\": \"w\" (23).\nThought 10: We now have: (5) \"secondhand\" < (23) \"swabby\" for the subpart. Hence, we have \"appetite\" < \"balletomane\" < \"beman\" < \"camille\" < \"disputant\" < \"effluvium\" < \"horse\" < \"lament\" < \"mattock\" < \"secondhand\" < \"swabby\" < \"durward\" < \"mona\".\nThought 11: I have now sorted all the words. The answer is appetite balletomane beman camille disputant effluvium horse lament mattock mona secondhand swabby durward\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:028", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: townsend half ouch flange horizontal copyright jay\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"townsend\": \"t\" (20). \"half\": \"h\" (8). \"ouch\": \"o\" (15). \"flange\": \"f\" (6). \"horizontal\": \"h\" (8). \"copyright\": \"c\" (3). \"jay\": \"j\" (10).\nThought 2: We now have: (3) \"copyright\" < (6) \"flange\" < (8) [\"half\" ? \"horizontal\"] < (10) \"jay\" < (15) \"ouch\" < (20) \"townsend\".\nThought 3: Now let's sort this subpart [\"half\" ? \"horizontal\"] by looking at their second letters. The second letter: \"half\": \"a\" (1). \"horizontal\": \"o\" (15).\nThought 4: We now have: (1) \"half\" < (15) \"horizontal\" for the subpart. Hence, we have \"copyright\" < \"flange\" < \"half\" < \"horizontal\" < \"jay\" < \"ouch\" < \"townsend\".\nThought 5: I have now sorted all the words. The answer is copyright flange half horizontal jay ouch townsend\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:030", "request": "Consider a new alphabet order [m, r, q, o, e, b, k, h, j, x, w, v, g, u, p, y, i, t, f, a, d, n, s, c, z, l]. Sort the following words with the new alphabet and separate them with comma: indiscreet, gazpacho, erosible, generalizations, dollop, ballast, representativeness, manuel, spaniard, agglomerate, expiry, ogle, antidisestablishmentarianism, oilcloth, rationalizations, misrepresentations, extensor", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:031", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: propriety lineage march domingo voice quintillion tensile carson waterfront nimbus greenware eleven jaeger yolk beardsley octogenarian polarography wish\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"propriety\": \"p\" (16). \"lineage\": \"l\" (12). \"march\": \"m\" (13). \"domingo\": \"d\" (4). \"voice\": \"v\" (22). \"quintillion\": \"q\" (17). \"tensile\": \"t\" (20). \"carson\": \"c\" (3). \"waterfront\": \"w\" (23). \"nimbus\": \"n\" (14). \"greenware\": \"g\" (7). \"eleven\": \"e\" (5). \"jaeger\": \"j\" (10). \"yolk\": \"y\" (25). \"beardsley\": \"b\" (2). \"octogenarian\": \"o\" (15). \"polarography\": \"p\" (16). \"wish\": \"w\" (23).\nThought 2: We now have: (2) \"beardsley\" < (3) \"carson\" < (4) \"domingo\" < (5) \"eleven\" < (7) \"greenware\" < (10) \"jaeger\" < (12) \"lineage\" < (13) \"march\" < (14) \"nimbus\" < (15) \"octogenarian\" < (16) [\"propriety\" ? \"polarography\"] < (17) \"quintillion\" < (20) \"tensile\" < (22) \"voice\" < (23) [\"waterfront\" ? \"wish\"] < (25) \"yolk\".\nThought 3: Now let's sort this subpart [\"propriety\" ? \"polarography\"] by looking at their second letters. The second letter: \"propriety\": \"r\" (18). \"polarography\": \"o\" (15).\nThought 4: We now have: (15) \"polarography\" < (18) \"propriety\" for the subpart. Hence, we have \"beardsley\" < \"carson\" < \"domingo\" < \"eleven\" < \"greenware\" < \"jaeger\" < \"lineage\" < \"march\" < \"nimbus\" < \"octogenarian\" < \"polarography\" < \"propriety\" < \"quintillion\" < \"tensile\" < \"voice\" < [\"waterfront\" ? \"wish\"] < \"yolk\".\nThought 5: Now let's sort this subpart [\"waterfront\" ? \"wish\"] by looking at their second letters. The second letter: \"waterfront\": \"a\" (1). \"wish\": \"i\" (9).\nThought 6: We now have: (1) \"waterfront\" < (9) \"wish\" for the subpart. Hence, we have beardsley carson domingo eleven greenware jaeger lineage march nimbus octogenarian polarography propriety quintillion tensile voice waterfront wish yolk.\nThought 7: I have now sorted all the words. The answer is beardsley carson domingo eleven greenware jaeger lineage march nimbus octogenarian polarography propriety quintillion tensile voice waterfront wish yolk\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:033", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c and a are the first two letters. Sort the following words with the new alphabet and separate them with comma: publications, frame, notifications, miterwort, spidery, together, rationalizations, investigations, chaperon, hippodrome, keller, bungle, prompt, manipulations, yolk, anheuser", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:034", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that e is the first letter. Sort the following words with the new alphabet and separate them with comma: oversimplifications, experimentations, generalizations, specifications, knickerbocker, ami, exeter, implementations, decadent, bituminous", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:038", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c and s are the last two letters. Sort the following words with the new alphabet and separate them with comma: wrongdoer, sal, photosynthesis, cornerstone, jive, recommendations, raft, courtroom, considerations, promulgate, antidisestablishmentarianism, foraminifera, syllabus, considerations, insist, sophocles, dusenberg, gossamer, altercate", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:040", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: agronomist verisimilitude wilfred hershel hem boggle nuclide walkie refrain oklahoma grapheme eugenia apostrophe lieutenant fletcher cortege\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"agronomist\": \"a\" (1). \"verisimilitude\": \"v\" (22). \"wilfred\": \"w\" (23). \"hershel\": \"h\" (8). \"hem\": \"h\" (8). \"boggle\": \"b\" (2). \"nuclide\": \"n\" (14). \"walkie\": \"w\" (23). \"refrain\": \"r\" (18). \"oklahoma\": \"o\" (15). \"grapheme\": \"g\" (7). \"eugenia\": \"e\" (5). \"apostrophe\": \"a\" (1). \"lieutenant\": \"l\" (12). \"fletcher\": \"f\" (6). \"cortege\": \"c\" (3).\nThought 2: We now have: (1) [\"agronomist\" ? \"apostrophe\"] < (2) \"boggle\" < (3) \"cortege\" < (5) \"eugenia\" < (6) \"fletcher\" < (7) \"grapheme\" < (8) [\"hershel\" ? \"hem\"] < (12) \"lieutenant\" < (14) \"nuclide\" < (15) \"oklahoma\" < (18) \"refrain\" < (22) \"verisimilitude\" < (23) [\"walkie\" ? \"wilfred\"].\nThought 3: Now let's sort this subpart [\"agronomist\" ? \"apostrophe\"] by looking at their second letters. The second letter: \"agronomist\": \"g\" (7). \"apostrophe\": \"p\" (16).\nThought 4: We now have: (7) \"agronomist\" < (16) \"apostrophe\" for the subpart. Hence, we have \"agronomist\" < \"apostrophe\" < \"boggle\" < \"cortege\" < \"eugenia\" < \"fletcher\" < \"grapheme\" < [\"hershel\" ? \"hem\"] < \"lieutenant\" < \"nuclide\" < \"oklahoma\" < \"refrain\" < \"verisimilitude\" < [\"walkie\" ? \"wilfred\"].\nThought 5: Now let's sort this subpart [\"hershel\" ? \"hem\"] by looking at their second letters. The second letter: \"hershel\": \"e\" (5). \"hem\": \"e\" (5).\nThought 6: We now have: (5) [\"hershel\" ? \"hem\"] for the subpart. Hence, we have \"agronomist\" < \"apostrophe\" < \"boggle\" < \"cortege\" < \"eugenia\" < \"fletcher\" < \"grapheme\" < [\"hershel\" ? \"hem\"] < \"lieutenant\" < \"nuclide\" < \"oklahoma\" < \"refrain\" < \"verisimilitude\" < [\"walkie\" ? \"wilfred\"].\nThought 7: Now let's sort this subpart [\"walkie\" ? \"wilfred\"] by looking at their second letters. The second letter: \"walkie\": \"a\" (1). \"wilfred\": \"i\" (9).\nThought 8: We now have: (1) \"walkie\" < (9) \"wilfred\" for the subpart. Hence, we have \"agronomist\" < \"apostrophe\" < \"boggle\" < \"cortege\" < \"eugenia\" < \"fletcher\" < \"grapheme\" < [\"hershel\" ? \"hem\"] < \"lieutenant\" < \"nuclide\" < \"oklahoma\" < \"refrain\" < \"verisimilitude\" < \"walkie\" < \"wilfred\".\nThought 9: I have now sorted all the words. The answer is agronomist apostrophe boggle cortege eugenia fletcher grapheme hershel hem lieutenant nuclide oklahoma refrain walkie verisimilitude wilfred\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:046", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: christen deconvolve spinnaker literate republican douglas periwinkle syllabus importunate lingua impulse capuchin persecution nevertheless lyman\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"christen\": \"c\" (3). \"deconvolve\": \"d\" (4). \"spinnaker\": \"s\" (19). \"literate\": \"l\" (12). \"republican\": \"r\" (18). \"douglas\": \"d\" (4). \"periwinkle\": \"p\" (16). \"syllabus\": \"s\" (19). \"importunate\": \"i\" (9). \"lingua\": \"l\" (12). \"impulse\": \"i\" (9). \"capuchin\": \"c\" (3). \"persecution\": \"p\" (16). \"nevertheless\": \"n\" (14). \"lyman\": \"l\" (12).\nThought 2: We now have: (3) [\"capuchin\" ? \"christen\"] < (4) [\"deconvolve\" ? \"douglas\"] < (9) [\"importunate\" ? \"impulse\"] < (12) [\"literate\" ? \"lingua\" ? \"lyman\"] < (14) \"nevertheless\" < (16) [\"periwinkle\" ? \"persecution\"] < (18) \"republican\" < (19) [\"syllabus\" ? \"spinnaker\"].\nThought 3: Now let's sort this subpart [\"capuchin\" ? \"christen\"] by looking at their second letters. The second letter: \"capuchin\": \"a\" (1). \"christen\": \"h\" (8).\nThought 4: We now have: (1) \"capuchin\" < (8) \"christen\" for the subpart. Hence, we have \"capuchin\" < \"christen\" < [\"deconvolve\" ? \"douglas\"] < [\"importunate\" ? \"impulse\"] < [\"literate\" ? \"lingua\" ? \"lyman\"] < \"nevertheless\" < [\"periwinkle\" ? \"persecution\"] < \"republican\" < [\"syllabus\" ? \"spinnaker\"].\nThought 5: Now let's sort this subpart [\"deconvolve\" ? \"douglas\"] by looking at their second letters. The second letter: \"deconvolve\": \"e\" (5). \"douglas\": \"o\" (15).\nThought 6: We now have: (5) \"deconvolve\" < (15) \"douglas\" for the subpart. Hence, we have \"capuchin\" < \"christen\" < \"deconvolve\" < \"douglas\" < [\"importunate\" ? \"impulse\"] < [\"literate\" ? \"lingua\" ? \"lyman\"] < \"nevertheless\" < [\"periwinkle\" ? \"persecution\"] < \"republican\" < [\"syllabus\" ? \"spinnaker\"].\nThought 7: Now let's sort this subpart [\"importunate\" ? \"impulse\"] by looking at their second letters. The second letter: \"importunate\": \"m\" (13). \"impulse\": \"m\" (13).\nThought 8: We now have: (13) [\"importunate\" ? \"impulse\"] for the subpart. Hence, we have \"capuchin\" < \"christen\" < \"deconvolve\" < \"douglas\" < [\"importunate\" ? \"impulse\"] < [\"literate\" ? \"lingua\" ? \"lyman\"] < \"nevertheless\" < [\"periwinkle\" ? \"persecution\"] < \"republican\" < [\"syllabus\" ? \"spinnaker\"].\nThought 9: Now let's sort this subpart [\"literate\" ? \"lingua\" ? \"lyman\"] by looking at their second letters. The second letter: \"literate\": \"i\" (9). \"lingua\": \"i\" (9). \"lyman\": \"y\" (25).\nThought 10: We now have: (9) [\"literate\" ? \"lingua\"] < (25) \"lyman\" for the subpart. Hence, we have \"capuchin\" < \"christen\" < \"deconvolve\" < \"douglas\" < [\"importunate\" ? \"impulse\"] < [\"literate\" ? \"lingua\"] < \"lyman\" < \"nevertheless\" < [\"periwinkle\" ? \"persecution\"] < \"republican\" < [\"syllabus\" ? \"spinnaker\"].\nThought 11: Now let's sort this subpart [\"periwinkle\" ? \"persecution\"] by looking at their second letters. The second letter: \"periwinkle\": \"e\" (5). \"persecution\": \"e\" (5).\nThought 12: We now have: (5) [\"periwinkle\" ? \"persecution\"] for the subpart. Hence, we have \"capuchin\" < \"christen\" < \"deconvolve\" < \"douglas\" < [\"importunate\" ? \"impulse\"] < [\"literate\" ? \"lingua\"] < \"lyman\" < \"nevertheless\" < [\"periwinkle\" ? \"persecution\"] < \"republican\" < [\"syllabus\" ? \"spinnaker\"].\nThought 13: Now let's sort this subpart [\"syllabus\" ? \"spinnaker\"] by looking at their second letters. The second letter: \"syllabus\": \"y\" (25). \"spinnaker\": \"p\" (16).\nThought 14: We now have: (16) \"spinnaker\" < (25) \"syllabus\" for the subpart. Hence, we have \"capuchin\" < \"christen\" < \"deconvolve\" < \"douglas\" < [\"importunate\" ? \"impulse\"] < [\"literate\" ? \"lingua\"] < \"lyman\" < \"nevertheless\" < [\"periwinkle\" ? \"persecution\"] < \"republican\" < \"spinnaker\" < \"syllabus\".\nThought 15: Now let's sort this subpart [\"importunate\" ? \"impulse\"] by looking at their third letters. The third letter: \"importunate\": \"p\" (16). \"impulse\": \"l\" (12).\nThought 16: We now have: (12) \"impulse\" < (16) \"importunate\" for the subpart. Hence, we have \"capuchin\" < \"christen\" < \"deconvolve\" < \"douglas\" < \"impulse\" < [\"importunate\"] < [\"literate\" ? \"lingua\"] < \"lyman\" < \"nevertheless\" < [\"periwinkle\" ? \"persecution\"] < \"republican\" < \"spinnaker\" < \"syllabus\".\nThought 17: Now let's sort this subpart [\"literate\" ? \"lingua\"] by looking at their third letters. The third letter: \"literate\": \"e\" (5). \"lingua\": \"n\" (14).\nThought 18: We now have: (5) \"literate\" < (14) \"lingua\" for the subpart. Hence, we have \"capuchin\" < \"christen\" < \"deconvolve\" < \"douglas\" < \"impulse\" < [\"importunate\"] < \"literate\" < \"lingua\" < \"lyman\" < \"nevertheless\" < [\"periwinkle\" ? \"persecution\"] < \"republican\" < \"spinnaker\" < \"syllabus\".\nThought 19: Now let's sort this subpart [\"periwinkle\" ? \"persecution\"] by looking at their third letters. The third letter: \"periwinkle\": \"r\" (18). \"persecution\": \"c\" (3).\nThought 20: We now have: (3) \"persecution\" < (18) \"periwinkle\" for the subpart. Hence, we have \"capuchin\" < \"christen\" < \"deconvolve\" < \"douglas\" < \"impulse\" < [\"importunate\"] < \"literate\" < \"lingua\" < \"lyman\" < \"nevertheless\" < \"persecution\" < \"periwinkle\" < \"republican\" < \"spinnaker\" < \"syllabus\".\nThought 21: I have now sorted all the words. The answer is capuchin christen deconvolve douglas impulse importunate literate lingua lyman nevertheless persecution periwinkle republican spinnaker syllabus\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:051", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c and s are the last two letters. Sort the following words with the new alphabet and separate them with comma: trundle, suppose, adonis, justifications, judaica, birdseed, southeastern, scrubby, stormy, specifications, fateful, extensive, frighten, citizen, contaminant, identifications, soothe, investigations, considerations, trillion, convair", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:052", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that r and s are swapped. Sort the following words with the new alphabet and separate them with comma: purloin, fortescue, qualifications, percept, collaborations, sioux, representativeness, experimentations, recommendations, helmsman", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:053", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: tort then twelve mollify dravidian dusseldorf bessel putty minestrone courtroom debility grasp we'll shmuel nashville validate johnstown phraseology extinguish\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"tort\": \"t\" (20). \"then\": \"t\" (20). \"twelve\": \"t\" (20). \"mollify\": \"m\" (13). \"dravidian\": \"d\" (4). \"dusseldorf\": \"d\" (4). \"bessel\": \"b\" (2). \"putty\": \"p\" (16). \"minestrone\": \"m\" (13). \"courtroom\": \"c\" (3). \"debility\": \"d\" (4). \"grasp\": \"g\" (7). \"we'll\": \"w\" (23). \"shmuel\": \"s\" (19). \"nashville\": \"n\" (14). \"validate\": \"v\" (22). \"johnstown\": \"j\" (10). \"phraseology\": \"p\" (16). \"extinguish\": \"e\" (5).\nThought 2: We now have: (2) \"bessel\" < (3) \"courtroom\" < (4) [\"dravidian\" ? \"dusseldorf\" ? \"debility\"] < (5) \"extinguish\" < (7) \"grasp\" < (10) \"johnstown\" < (13) [\"minestrone\" ? \"mollify\"] < (14) \"nashville\" < (16) [\"phraseology\" ? \"putty\"] < (19) \"shmuel\" < (20) [\"then\" ? \"twelve\" ? \"tort\"] < (22) \"validate\" < (23) \"we'll\".\nThought 3: Now let's sort this subpart [\"dravidian\" ? \"dusseldorf\" ? \"debility\"] by looking at their second letters. The second letter: \"dravidian\": \"r\" (18). \"dusseldorf\": \"u\" (21). \"debility\": \"e\" (5).\nThought 4: We now have: (5) \"debility\" < (18) \"dravidian\" < (21) \"dusseldorf\" for the subpart. Hence, we have \"bessel\" < \"courtroom\" < \"debility\" < \"dravidian\" < \"dusseldorf\" < \"extinguish\" < \"grasp\" < \"johnstown\" < \"minestrone\" < \"mollify\" < \"nashville\" < \"phraseology\" < \"putty\" < \"shmuel\" < [\"then\" ? \"twelve\" ? \"tort\"] < \"validate\" < \"we'll\".\nThought 5: Now let's sort this subpart [\"minestrone\" ? \"mollify\"] by looking at their second letters. The second letter: \"minestrone\": \"i\" (9). \"mollify\": \"o\" (15).\nThought 6: We now have: (9) \"minestrone\" < (15) \"mollify\" for the subpart. Hence, we have \"bessel\" < \"courtroom\" < \"debility\" < \"dravidian\" < \"dusseldorf\" < \"extinguish\" < \"grasp\" < \"johnstown\" < \"minestrone\" < \"mollify\" < \"nashville\" < \"phraseology\" < \"putty\" < \"shmuel\" < [\"then\" ? \"twelve\" ? \"tort\"] < \"validate\" < \"we'll\".\nThought 7: Now let's sort this subpart [\"then\" ? \"twelve\" ? \"tort\"] by looking at their second letters. The second letter: \"then\": \"e\" (5). \"twelve\": \"w\" (23). \"tort\": \"o\" (15).\nThought 8: We now have: (5) \"then\" < (15) \"tort\" < (23) \"twelve\" for the subpart. Hence, we have \"bessel\" < \"courtroom\" < \"debility\" < \"dravidian\" < \"dusseldorf\" < \"extinguish\" < \"grasp\" < \"johnstown\" < \"minestrone\" < \"mollify\" < \"nashville\" < \"phraseology\" < \"putty\" < \"shmuel\" < \"then\" < \"tort\" < \"twelve\" < \"validate\" < \"we'll\".\nThought 9: I have now sorted all the words. The answer is bessel courtroom debility dravidian dusseldorf extinguish grasp johnstown minestrone mollify nashville phraseology putty shmuel then tort twelve validate we'll\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:056", "request": "Consider a new alphabet order [a, c, j, w, e, g, y, r, l, u, v, t, k, d, s, f, p, z, n, b, m, i, h, q, x, o]. Sort the following words with the new alphabet and separate them with comma: henchman, extreme, browne, antidisestablishmentarianism, indoeuropean, coo, deerstalker, turvy, sonority, modifications, calumny, pelvis, transformations, implications, histology, tramway, amicable, counterrevolutionaries, paginate", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:057", "request": "Consider a new alphabet order [e, q, n, r, f, j, x, c, y, m, k, z, o, h, d, b, g, s, l, a, t, w, u, p, v, i]. Sort the following words with the new alphabet and separate them with comma: aerodynamic, schoolmate, roosevelt, manipulations, nebulous, reconfigurations, jimmy, suburbia, generalizations, panicking, vector, institutionalization, botanist, padre, habitation, representativeness, offset, giacomo, wv", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:064", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that s and d are swapped. Sort the following words with the new alphabet and separate them with comma: dale, underclassmen, communications, dun, fraternity, starkey, disenfranchisement, bartok, morphemic, generalizations, whoop, identifications, dar, pegging, monomer, goat, banish, allele, anthropocentric, badinage, martinson, brunswick, yourselves, generalizations, desolater", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:065", "request": "Consider a new alphabet order [j, u, t, c, h, g, q, n, k, b, x, e, p, l, v, w, z, d, a, m, y, f, r, i, o, s]. Sort the following words with the new alphabet and separate them with comma: schnabel, loge, industrialization, milord, qualifications, mast, rendezvous, collate, collaborations, euphony, allegoric, lollipop, generalizations, salle, prolix, gloriana, transformations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:066", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that a and l are the first two letters. Sort the following words with the new alphabet and separate them with comma: entropy, cottrell, summand, extoller, gloria, bologna, disenfranchisement, cure, tyke, procedural, industrialization, litigant, reconfigurations, doubtful, administrations, congratulations, crackle", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:067", "request": "Consider a new alphabet order [t, x, l, u, w, p, b, i, k, c, g, v, d, n, m, o, a, j, q, y, z, s, e, r, h, f]. Sort the following words with the new alphabet and separate them with comma: congratulations, collaborations, gunky, taint, reconfigurations, assure, experimentations, smokestack, frontage, indeterminable, rhyme, contend, transformations, bye, butterball, dinosaur, deaf, lustrous, sashimi, cornet, bully, sanderson, paradigmatic, ostentatious", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:072", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: sparta rapprochement duct avocado molybdenum paterson grace nitrate aerial algiers calhoun nefarious checksum\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"sparta\": \"s\" (19). \"rapprochement\": \"r\" (18). \"duct\": \"d\" (4). \"avocado\": \"a\" (1). \"molybdenum\": \"m\" (13). \"paterson\": \"p\" (16). \"grace\": \"g\" (7). \"nitrate\": \"n\" (14). \"aerial\": \"a\" (1). \"algiers\": \"a\" (1). \"calhoun\": \"c\" (3). \"nefarious\": \"n\" (14). \"checksum\": \"c\" (3).\nThought 2: We now have: (1) [\"aerial\" ? \"algiers\" ? \"avocado\"] < (3) [\"calhoun\" ? \"checksum\"] < (4) \"duct\" < (7) \"grace\" < (13) \"molybdenum\" < (14) [\"nitrate\" ? \"nefarious\"] < (16) \"paterson\" < (18) \"rapprochement\" < (19) \"sparta\".\nThought 3: Now let's sort this subpart [\"aerial\" ? \"algiers\" ? \"avocado\"] by looking at their second letters. The second letter: \"aerial\": \"e\" (5). \"algiers\": \"l\" (12). \"avocado\": \"v\" (22).\nThought 4: We now have: (5) \"aerial\" < (12) \"algiers\" < (22) \"avocado\" for the subpart. Hence, we have [\"aerial\" ? \"algiers\" ? \"avocado\"] < (3) [\"calhoun\" ? \"checksum\"] < (4) \"duct\" < (7) \"grace\" < (13) \"molybdenum\" < (14) [\"nitrate\" ? \"nefarious\"] < (16) \"paterson\" < (18) \"rapprochement\" < (19) \"sparta\".\nThought 5: Now let's sort this subpart [\"calhoun\" ? \"checksum\"] by looking at their second letters. The second letter: \"calhoun\": \"a\" (1). \"checksum\": \"h\" (8).\nThought 6: We now have: (1) \"calhoun\" < (8) \"checksum\" for the subpart. Hence, we have [\"aerial\" ? \"algiers\" ? \"avocado\"] < (3) \"calhoun\" < \"checksum\" < (4) \"duct\" < (7) \"grace\" < (13) \"molybdenum\" < (14) [\"nitrate\" ? \"nefarious\"] < (16) \"paterson\" < (18) \"rapprochement\" < (19) \"sparta\".\nThought 7: Now let's sort this subpart [\"nitrate\" ? \"nefarious\"] by looking at their second letters. The second letter: \"nitrate\": \"i\" (9). \"nefarious\": \"e\" (5).\nThought 8: We now have: (5) \"nefarious\" < (9) \"nitrate\" for the subpart. Hence, we have [\"aerial\" ? \"algiers\" ? \"avocado\"] < (3) \"calhoun\" < \"checksum\" < (4) \"duct\" < (7) \"grace\" < (13) \"molybdenum\" < (14) \"nefarious\" < \"nitrate\" < (16) \"paterson\" < (18) \"rapprochement\" < (19) \"sparta\".\nThought 9: Now let's sort this subpart [\"aerial\" ? \"algiers\" ? \"avocado\"] by looking at their third letters. The third letter: \"aerial\": \"i\" (9). \"algiers\": \"g\" (7). \"avocado\": \"c\" (3).\nThought 10: We now have: (3) \"avocado\" < (7) \"algiers\" < (9) \"aerial\" for the subpart. Hence, we have \"avocado\" < \"algiers\" < \"aerial\" < (3) \"calhoun\" < \"checksum\" < (4) \"duct\" < (7) \"grace\" < (13) \"molybdenum\" < (14) \"nefarious\" < \"nitrate\" < (16) \"paterson\" < (18) \"rapprochement\" < (19) \"sparta\".\nThought 11: I have now sorted all the words. The answer is avocado algiers aerial calhoun checksum duct grace molybdenum nefarious nitrate paterson rapprochement sparta\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:073", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c and h are the first two letters. Sort the following words with the new alphabet and separate them with comma: specializations, monterey, representativeness, mesh, clemens, cordial, contravariant, dorado, handicraft, boar, charge, investigations, characterizations, betony, collet, centaur, interpretations, possession, bronzy, underclassman, contemporaneous, bootleg, macmahon, regina", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:075", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that s and a are swapped. Sort the following words with the new alphabet and separate them with comma: specializations, ensemble, institutionalization, apprehension, investigations, counterrevolutionaries, cashew, manipulations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:076", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c is the last letter. Sort the following words with the new alphabet and separate them with comma: nigeria, odysseus, proton, sociolinguistic, penny, notifications, voltaire, publications, publications, implementations, stirrup, contaminate, bighorn, demystify, counterrevolutionaries", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:078", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: irreclaimable schlitz spitz silicon manifesto inn cufflink fusible collins habitant fractious sherry clue panicked alienate alameda autumnal sculptor\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"irreclaimable\": \"i\" (9). \"schlitz\": \"s\" (19). \"spitz\": \"s\" (19). \"silicon\": \"s\" (19). \"manifesto\": \"m\" (13). \"inn\": \"i\" (9). \"cufflink\": \"c\" (3). \"fusible\": \"f\" (6). \"collins\": \"c\" (3). \"habitant\": \"h\" (8). \"fractious\": \"f\" (6). \"sherry\": \"s\" (19). \"clue\": \"c\" (3). \"panicked\": \"p\" (16). \"alienate\": \"a\" (1). \"alameda\": \"a\" (1). \"autumnal\": \"a\" (1). \"sculptor\": \"s\" (19).\nThought 2: We now have: (1) [\"alienate\" ? \"alameda\" ? \"autumnal\"] < (3) [\"cufflink\" ? \"clue\" ? \"collins\"] < (6) [\"fusible\" ? \"fractious\"] < (8) \"habitant\" < (9) [\"inn\" ? \"irreclaimable\"] < (13) \"manifesto\" < (16) \"panicked\" < (19) [\"schlitz\" ? \"spitz\" ? \"silicon\" ? \"sherry\" ? \"sculptor\"].\nThought 3: Now let's sort this subpart [\"alienate\" ? \"alameda\" ? \"autumnal\"] by looking at their second letters. The second letter: \"alienate\": \"l\" (12). \"alameda\": \"l\" (12). \"autumnal\": \"u\" (21).\nThought 4: We now have: (12) [\"alienate\" ? \"alameda\"] < (21) \"autumnal\" for the subpart.\nThought 5: Now let's sort this subpart [\"alienate\" ? \"alameda\"] by looking at their third letters. The third letter: \"alienate\": \"i\" (9). \"alameda\": \"m\" (13).\nThought 6: We now have: (9) \"alienate\" < (13) \"alameda\" for the subpart. Hence, we have \"alienate\" < \"alameda\" < \"autumnal\".\nThought 7: Now let's sort this subpart [\"cufflink\" ? \"clue\" ? \"collins\"] by looking at their second letters. The second letter: \"cufflink\": \"u\" (21). \"clue\": \"l\" (12). \"collins\": \"o\" (15).\nThought 8: We now have: (12) \"clue\" < (15) \"collins\" < (21) \"cufflink\" for the subpart.\nThought 9: Now let's sort this subpart [\"fusible\" ? \"fractious\"] by looking at their second letters. The second letter: \"fusible\": \"u\" (21). \"fractious\": \"r\" (18).\nThought 10: We now have: (18) \"fractious\" < (21) \"fusible\" for the subpart.\nThought 11: Now let's sort this subpart [\"schlitz\" ? \"spitz\" ? \"silicon\" ? \"sherry\" ? \"sculptor\"] by looking at their second letters. The second letter: \"schlitz\": \"c\" (3). \"spitz\": \"p\" (16). \"silicon\": \"i\" (9). \"sherry\": \"e\" (5). \"sculptor\": \"c\" (3).\nThought 12: We now have: (3) [\"schlitz\" ? \"sculptor\"] < (5) \"sherry\" < (9) \"silicon\" < (16) \"spitz\" for the subpart.\nThought 13: Now let's sort this subpart [\"schlitz\" ? \"sculptor\"] by looking at their third letters. The third letter: \"schlitz\": \"h\" (8). \"sculptor\": \"u\" (21).\nThought 14: We now have: (8) \"schlitz\" < (21) \"sculptor\" for the subpart. Hence, we have \"alienate\" < \"alameda\" < \"autumnal\" < \"cufflink\" < \"clue\" < \"collins\" < \"fractious\" < \"fusible\" < \"habitant\" < \"inn\" < \"irreclaimable\" < \"manifesto\" < \"panicked\" < \"sherry\" < \"silicon\" < \"spitz\" < \"sculptor\" < \"schlitz\".\nThought 15: I have now sorted all the words. The answer is alienate alameda autumnal cufflink clue collins fractious fusible habitant inn irreclaimable manifesto panicked sherry silicon spitz sculptor schlitz\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:080", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that i and n are the last two letters. Sort the following words with the new alphabet and separate them with comma: nicodemus, industrialization, neff, sortie, specifications, congratulations, generalizations, identifications", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:086", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: odessa canine disruptive failure mesopotamia exhilarate grain was marathon helium deport babysitting mcgee ghoul bifurcate ekstrom littleneck cream psychotherapy single\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"odessa\": \"o\" (15). \"canine\": \"c\" (3). \"disruptive\": \"d\" (4). \"failure\": \"f\" (6). \"mesopotamia\": \"m\" (13). \"exhilarate\": \"e\" (5). \"grain\": \"g\" (7). \"was\": \"w\" (23). \"marathon\": \"m\" (13). \"helium\": \"h\" (8). \"deport\": \"d\" (4). \"babysitting\": \"b\" (2). \"mcgee\": \"m\" (13). \"ghoul\": \"g\" (7). \"bifurcate\": \"b\" (2). \"ekstrom\": \"e\" (5). \"littleneck\": \"l\" (12). \"cream\": \"c\" (3). \"psychotherapy\": \"p\" (16). \"single\": \"s\" (19).\nThought 2: We now have: (2) [\"babysitting\" ? \"bifurcate\"] < (3) [\"canine\" ? \"cream\"] < (4) [\"deport\" ? \"disruptive\"] < (5) [\"ekstrom\" ? \"exhilarate\"] < (6) \"failure\" < (7) [\"grain\" ? \"ghoul\"] < (8) \"helium\" < (12) \"littleneck\" < (13) [\"marathon\" ? \"mesopotamia\" ? \"mcgee\"] < (15) \"odessa\" < (16) \"psychotherapy\" < (19) \"single\" < (23) \"was\".\nThought 3: Now let's sort this subpart [\"babysitting\" ? \"bifurcate\"] by looking at their second letters. The second letter: \"babysitting\": \"a\" (1). \"bifurcate\": \"i\" (9).\nThought 4: We now have: (1) \"babysitting\" < (9) \"bifurcate\" for the subpart. Hence, we have [\"babysitting\" ? \"bifurcate\"] < [\"canine\" ? \"cream\"] < [\"deport\" ? \"disruptive\"] < [\"ekstrom\" ? \"exhilarate\"] < \"failure\" < [\"grain\" ? \"ghoul\"] < \"helium\" < \"littleneck\" < [\"marathon\" ? \"mesopotamia\" ? \"mcgee\"] < \"odessa\" < \"psychotherapy\" < \"single\" < \"was\".\nThought 5: Now let's sort this subpart [\"canine\" ? \"cream\"] by looking at their second letters. The second letter: \"canine\": \"a\" (1). \"cream\": \"r\" (18).\nThought 6: We now have: (1) \"canine\" < (18) \"cream\" for the subpart. Hence, we have [\"babysitting\" ? \"bifurcate\"] < \"canine\" < [\"cream\" ? \"deport\" ? \"disruptive\"] < [\"ekstrom\" ? \"exhilarate\"] < \"failure\" < [\"grain\" ? \"ghoul\"] < \"helium\" < \"littleneck\" < [\"marathon\" ? \"mesopotamia\" ? \"mcgee\"] < \"odessa\" < \"psychotherapy\" < \"single\" < \"was\".\nThought 7: Now let's sort this subpart [\"cream\" ? \"deport\" ? \"disruptive\"] by looking at their second letters. The second letter: \"cream\": \"r\" (18). \"deport\": \"e\" (5). \"disruptive\": \"i\" (9).\nThought 8: We now have: (5) \"deport\" < (9) \"disruptive\" < (18) \"cream\" for the subpart. Hence, we have [\"babysitting\" ? \"bifurcate\"] < \"canine\" < \"deport\" < \"disruptive\" < [\"ekstrom\" ? \"exhilarate\"] < \"failure\" < [\"grain\" ? \"ghoul\"] < \"helium\" < \"littleneck\" < [\"marathon\" ? \"mesopotamia\" ? \"mcgee\"] < \"odessa\" < \"psychotherapy\" < \"single\" < \"was\".\nThought 9: Now let's sort this subpart [\"ekstrom\" ? \"exhilarate\"] by looking at their second letters. The second letter: \"ekstrom\": \"s\" (19). \"exhilarate\": \"x\" (24).\nThought 10: We now have: (19) \"ekstrom\" < (24) \"exhilarate\" for the subpart. Hence, we have [\"babysitting\" ? \"bifurcate\"] < \"canine\" < \"deport\" < \"disruptive\" < \"ekstrom\" < \"exhilarate\" < \"failure\" < [\"grain\" ? \"ghoul\"] < \"helium\" < \"littleneck\" < [\"marathon\" ? \"mesopotamia\" ? \"mcgee\"] < \"odessa\" < \"psychotherapy\" < \"single\" < \"was\".\nThought 11: Now let's sort this subpart [\"grain\" ? \"ghoul\"] by looking at their second letters. The second letter: \"grain\": \"r\" (18). \"ghoul\": \"h\" (8).\nThought 12: We now have: (8) \"ghoul\" < (18) \"grain\" for the subpart. Hence, we have [\"babysitting\" ? \"bifurcate\"] < \"canine\" < \"deport\" < \"disruptive\" < \"ekstrom\" < \"exhilarate\" < \"failure\" < \"ghoul\" < \"grain\" < \"helium\" < \"littleneck\" < [\"marathon\" ? \"mesopotamia\" ? \"mcgee\"] < \"odessa\" < \"psychotherapy\" < \"single\" < \"was\".\nThought 13: Now let's sort this subpart [\"marathon\" ? \"mesopotamia\" ? \"mcgee\"] by looking at their second letters. The second letter: \"marathon\": \"a\" (1). \"mesopotamia\": \"e\" (5). \"mcgee\": \"c\" (3).\nThought 14: We now have: (1) \"marathon\" < (3) \"mcgee\" < (5) \"mesopotamia\" for the subpart. Hence, we have [\"babysitting\" ? \"bifurcate\"] < \"canine\" < \"deport\" < \"disruptive\" < \"ekstrom\" < \"exhilarate\" < \"failure\" < \"ghoul\" < \"grain\" < \"helium\" < \"littleneck\" < \"marathon\" < \"mcgee\" < \"mesopotamia\" < \"odessa\" < \"psychotherapy\" < \"single\" < \"was\".\nThought 15: Now let's sort this subpart [\"babysitting\" ? \"bifurcate\"] by looking at their second letters. The second letter: \"babysitting\": \"a\" (1). \"bifurcate\": \"i\" (9).\nThought 16: We now have: (1) \"babysitting\" < (9) \"bifurcate\" for the subpart. Hence, we have babysitting < bifurcate < canine < deport < disruptive < ekstrom < exhilarate < failure < ghoul < grain < helium < littleneck < marathon < mcgee < mesopotamia < odessa < psychotherapy < single < was.\nThought 17: I have now sorted all the words. The answer is babysitting bifurcate canine deport disruptive ekstrom exhilarate failure ghoul grain helium littleneck marathon mcgee mesopotamia odessa psychotherapy single was\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:088", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that p is the last letter. Sort the following words with the new alphabet and separate them with comma: administrations, appliance, pulitzer, reconfigurations, responsibilities, superior, organizations, impede, transformations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:092", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that e is the first letter. Sort the following words with the new alphabet and separate them with comma: congratulations, wagging, pivot, coherent, antidisestablishmentarianism, implications, loch, reconfigurations, experimentations, cabdriver, astronomic", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:093", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that p and d are the first two letters. Sort the following words with the new alphabet and separate them with comma: posterior, perceptive, collaborations, publications, cunard, notifications, crude, disenfranchisement, upraise, inscribe, administrations, tragedian, danubian, peculate", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:094", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that p and m are the last two letters. Sort the following words with the new alphabet and separate them with comma: postcondition, musicology, protoplasmic, helical, beware, representativeness, state, industrialization, uptrend, beefsteak, junctor, diacritic, birthplace, photosynthesis, banshee, sap, industrialization, implementations, obstinate, vasoconstriction, bicycle", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:095", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that m is the last letter. Sort the following words with the new alphabet and separate them with comma: twelvefold, collaborations, bivalve, industrialization, vinegar, sleuth, mainstream, transformations, umbilical, paunchy, categorizations, responsibilities, malformed, mortify", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:096", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: inability nucleus vague possible invocable janice erg\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"inability\": \"i\" (9). \"nucleus\": \"n\" (14). \"vague\": \"v\" (22). \"possible\": \"p\" (16). \"invocable\": \"i\" (9). \"janice\": \"j\" (10). \"erg\": \"e\" (5).\nThought 2: We now have: (5) \"erg\" < (9) [\"inability\" ? \"invocable\"] < (10) \"janice\" < (14) \"nucleus\" < (16) \"possible\" < (22) \"vague\".\nThought 3: Now let's sort this subpart [\"inability\" ? \"invocable\"] by looking at their second letters. The second letter: \"inability\": \"n\" (14). \"invocable\": \"n\" (14).\nThought 4: We now have: (14) [\"inability\" ? \"invocable\"] for the subpart. Hence, we have \"erg\" < [\"inability\" ? \"invocable\"] < \"janice\" < \"nucleus\" < \"possible\" < \"vague\".\nThought 5: Now let's sort this subpart [\"inability\" ? \"invocable\"] by looking at their third letters. The third letter: \"inability\": \"a\" (1). \"invocable\": \"v\" (22).\nThought 6: We now have: (1) \"inability\" < (22) \"invocable\" for the subpart. Hence, we have \"erg\" < \"inability\" < \"invocable\" < \"janice\" < \"nucleus\" < \"possible\" < \"vague\".\nThought 7: I have now sorted all the words. The answer is erg inability invocable janice nucleus possible vague\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:098", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that p and i are the last two letters. Sort the following words with the new alphabet and separate them with comma: implementations, majorca, cetacean, johann, carbonaceous, specifications, pray, paradigmatic, pathogenic, responsibilities, investigatory, tung, allyn, supersede, institutionalization, manifestations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:103", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: dwell clank greatcoat margin harness reverberate ireland sadist luzon cur yule competitor crucifixion strengthen blueberry vacuum beside twine vito catskill\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"dwell\": \"d\" (4). \"clank\": \"c\" (3). \"greatcoat\": \"g\" (7). \"margin\": \"m\" (13). \"harness\": \"h\" (8). \"reverberate\": \"r\" (18). \"ireland\": \"i\" (9). \"sadist\": \"s\" (19). \"luzon\": \"l\" (12). \"cur\": \"c\" (3). \"yule\": \"y\" (25). \"competitor\": \"c\" (3). \"crucifixion\": \"c\" (3). \"strengthen\": \"s\" (19). \"blueberry\": \"b\" (2). \"vacuum\": \"v\" (22). \"beside\": \"b\" (2). \"twine\": \"t\" (20). \"vito\": \"v\" (22). \"catskill\": \"c\" (3).\nThought 2: We now have: (2) [\"beside\" ? \"blueberry\"] < (3) [\"catskill\" ? \"competitor\" ? \"cur\" ? \"crucifixion\"] < (4) \"dwell\" < (7) \"greatcoat\" < (8) \"harness\" < (9) \"ireland\" < (12) \"luzon\" < (13) \"margin\" < (18) \"reverberate\" < (19) [\"sadist\" ? \"strengthen\"] < (20) \"twine\" < (22) [\"vacuum\" ? \"vito\"] < (25) \"yule\".\nThought 3: Now let's sort this subpart [\"beside\" ? \"blueberry\"] by looking at their second letters. The second letter: \"beside\": \"e\" (5). \"blueberry\": \"l\" (12).\nThought 4: We now have: (5) \"beside\" < (12) \"blueberry\" for the subpart. Hence, we have \"beside\" < \"blueberry\" < [\"catskill\" ? \"competitor\" ? \"cur\" ? \"crucifixion\"] < \"dwell\" < \"greatcoat\" < \"harness\" < \"ireland\" < \"luzon\" < \"margin\" < \"reverberate\" < [\"sadist\" ? \"strengthen\"] < \"twine\" < [\"vacuum\" ? \"vito\"] < \"yule\".\nThought 5: Now let's sort this subpart [\"catskill\" ? \"competitor\" ? \"cur\" ? \"crucifixion\"] by looking at their second letters. The second letter: \"catskill\": \"a\" (1). \"competitor\": \"o\" (15). \"cur\": \"u\" (21). \"crucifixion\": \"r\" (18).\nThought 6: We now have: (1) \"catskill\" < (15) \"competitor\" < (18) \"crucifixion\" < (21) \"cur\" for the subpart. Hence, we have \"beside\" < \"blueberry\" < \"catskill\" < \"competitor\" < \"crucifixion\" < \"cur\" < \"dwell\" < \"greatcoat\" < \"harness\" < \"ireland\" < \"luzon\" < \"margin\" < \"reverberate\" < [\"sadist\" ? \"strengthen\"] < \"twine\" < [\"vacuum\" ? \"vito\"] < \"yule\".\nThought 7: Now let's sort this subpart [\"sadist\" ? \"strengthen\"] by looking at their second letters. The second letter: \"sadist\": \"a\" (1). \"strengthen\": \"t\" (20).\nThought 8: We now have: (1) \"sadist\" < (20) \"strengthen\" for the subpart. Hence, we have \"beside\" < \"blueberry\" < \"catskill\" < \"competitor\" < \"crucifixion\" < \"cur\" < \"dwell\" < \"greatcoat\" < \"harness\" < \"ireland\" < \"luzon\" < \"margin\" < \"reverberate\" < \"sadist\" < \"strengthen\" < \"twine\" < [\"vacuum\" ? \"vito\"] < \"yule\".\nThought 9: Now let's sort this subpart [\"vacuum\" ? \"vito\"] by looking at their second letters. The second letter: \"vacuum\": \"a\" (1). \"vito\": \"i\" (9).\nThought 10: We now have: (1) \"vacuum\" < (9) \"vito\" for the subpart. Hence, we have \"beside\" < \"blueberry\" < \"catskill\" < \"competitor\" < \"crucifixion\" < \"cur\" < \"dwell\" < \"greatcoat\" < \"harness\" < \"ireland\" < \"luzon\" < \"margin\" < \"reverberate\" < \"sadist\" < \"strengthen\" < \"twine\" < \"vacuum\" < \"vito\" < \"yule\".\nThought 11: I have now sorted all the words. The answer is beside blueberry catskill competitor crucifixion cur dwell greatcoat harness ireland luzon margin reverberate sadist strengthen twine vacuum vito yule\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:105", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: percent maser roadside we're caching distort phillip emboss epistemology gherkin somewhat spicy injustice winston savoyard delicious defend indicate\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"percent\": \"p\" (16). \"maser\": \"m\" (13). \"roadside\": \"r\" (18). \"we're\": \"w\" (23). \"caching\": \"c\" (3). \"distort\": \"d\" (4). \"phillip\": \"p\" (16). \"emboss\": \"e\" (5). \"epistemology\": \"e\" (5). \"gherkin\": \"g\" (7). \"somewhat\": \"s\" (19). \"spicy\": \"s\" (19). \"injustice\": \"i\" (9). \"winston\": \"w\" (23). \"savoyard\": \"s\" (19). \"delicious\": \"d\" (4). \"defend\": \"d\" (4). \"indicate\": \"i\" (9).\nThought 2: We now have: (3) \"caching\" < (4) [\"delicious\" ? \"defend\" ? \"distort\"] < (5) [\"emboss\" ? \"epistemology\"] < (7) \"gherkin\" < (9) [\"indicate\" ? \"injustice\"] < (13) \"maser\" < (16) [\"percent\" ? \"phillip\"] < (18) \"roadside\" < (19) [\"somewhat\" ? \"spicy\" ? \"savoyard\"] < (23) [\"we're\" ? \"winston\"].\nThought 3: Now let's sort this subpart [\"delicious\" ? \"defend\" ? \"distort\"] by looking at their second letters. The second letter: \"delicious\": \"e\" (5). \"defend\": \"e\" (5). \"distort\": \"i\" (9).\nThought 4: We now have: (5) [\"delicious\" ? \"defend\"] < (9) \"distort\" for the subpart.\nThought 5: Now let's sort this subpart [\"delicious\" ? \"defend\"] by looking at their third letters. The third letter: \"delicious\": \"l\" (12). \"defend\": \"f\" (6).\nThought 6: We now have: (6) \"defend\" < (12) \"delicious\" for the subpart. Hence, we have \"caching\" < \"defend\" < \"delicious\" < \"distort\" < \"emboss\" < \"epistemology\" < \"gherkin\" < \"indicate\" < \"injustice\" < \"maser\" < \"percent\" < \"phillip\" < \"roadside\" < \"somewhat\" < \"spicy\" < \"savoyard\" < \"we're\" < \"winston\".\nThought 7: I have now sorted all the words. The answer is caching defend delicious distort emboss epistemology gherkin indicate injustice maser percent phillip roadside somewhat spicy savoyard we're winston\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:108", "request": "Consider a new alphabet order [p, g, s, j, f, h, q, o, w, z, r, e, t, k, n, i, u, d, b, l, a, m, y, x, v, c]. Sort the following words with the new alphabet and separate them with comma: phase, publications, experimentations, oversimplifications, unconstitutionalities, thunder, geld, qualifications", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:110", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: saturnine aptitude jelly constituent philanthropic nascent conner broadcast inaccessible hashish id dey mater humerus\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"saturnine\": \"s\" (19). \"aptitude\": \"a\" (1). \"jelly\": \"j\" (10). \"constituent\": \"c\" (3). \"philanthropic\": \"p\" (16). \"nascent\": \"n\" (14). \"conner\": \"c\" (3). \"broadcast\": \"b\" (2). \"inaccessible\": \"i\" (9). \"hashish\": \"h\" (8). \"id\": \"i\" (9). \"dey\": \"d\" (4). \"mater\": \"m\" (13). \"humerus\": \"h\" (8).\nThought 2: We now have: (1) \"aptitude\" < (2) \"broadcast\" < (3) [\"constituent\" ? \"conner\"] < (4) \"dey\" < (8) [\"hashish\" ? \"humerus\" ? \"id\"] < (9) \"inaccessible\" < (10) \"jelly\" < (13) \"mater\" < (14) \"nascent\" < (16) \"philanthropic\" < (19) \"saturnine\".\nThought 3: Now let's sort this subpart [\"constituent\" ? \"conner\"] by looking at their second letters. The second letter: \"constituent\": \"o\" (15). \"conner\": \"o\" (15).\nThought 4: We now have: (15) [\"constituent\" ? \"conner\"] for the subpart. Hence, we have \"aptitude\" < \"broadcast\" < [\"constituent\" ? \"conner\"] < \"dey\" < [\"hashish\" ? \"humerus\" ? \"id\"] < \"inaccessible\" < \"jelly\" < \"mater\" < \"nascent\" < \"philanthropic\" < \"saturnine\".\nThought 5: Now let's sort this subpart [\"hashish\" ? \"humerus\" ? \"id\"] by looking at their second letters. The second letter: \"hashish\": \"a\" (1). \"humerus\": \"u\" (21). \"id\": \"d\" (4).\nThought 6: We now have: (1) \"hashish\" < (4) \"id\" < (21) \"humerus\" for the subpart. Hence, we have \"aptitude\" < \"broadcast\" < [\"constituent\" ? \"conner\"] < \"dey\" < \"hashish\" < \"id\" < \"inaccessible\" < \"jelly\" < \"mater\" < \"nascent\" < \"philanthropic\" < \"saturnine\".\nThought 7: Now let's sort this subpart [\"constituent\" ? \"conner\"] by looking at their third letters. The third letter: \"constituent\": \"n\" (14). \"conner\": \"n\" (14).\nThought 8: We now have: (14) [\"constituent\" ? \"conner\"] for the subpart. Hence, we have \"aptitude\" < \"broadcast\" < [\"constituent\" ? \"conner\"] < \"dey\" < \"hashish\" < \"id\" < \"inaccessible\" < \"jelly\" < \"mater\" < \"nascent\" < \"philanthropic\" < \"saturnine\".\nThought 9: I have now sorted all the words. The answer is aptitude broadcast constituent dey hashish humerus id inaccessible jelly mater nascent philanthropic saturnine\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:112", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that s and c are the first two letters. Sort the following words with the new alphabet and separate them with comma: boone, personifications, million, genteel, satin, disqualifications, charity, sinai, complications, representativeness, olden, chalcedony, alternate, accommodations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:113", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that a and c are swapped. Sort the following words with the new alphabet and separate them with comma: knotty, notifications, misrepresentations, ecosystem, antidisestablishmentarianism, cloudy, ferret, experimentations, administrations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:114", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that n and i are the last two letters. Sort the following words with the new alphabet and separate them with comma: implications, hello, earthy, nimbus, watson, skinny, sharon, communications, inmate, clayton, sudan, phonetic, carp, announce, co, collaborations, parentage, modifications, individualization", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:115", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: katharine chromate arctan beater spray wayne cutthroat horton saskatoon small irradiate businesswoman oct proclaim squawbush buckboard missive windowpane\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"katharine\": \"k\" (11). \"chromate\": \"c\" (3). \"arctan\": \"a\" (1). \"beater\": \"b\" (2). \"spray\": \"s\" (19). \"wayne\": \"w\" (23). \"cutthroat\": \"c\" (3). \"horton\": \"h\" (8). \"saskatoon\": \"s\" (19). \"small\": \"s\" (19). \"irradiate\": \"i\" (9). \"businesswoman\": \"b\" (2). \"oct\": \"o\" (15). \"proclaim\": \"p\" (16). \"squawbush\": \"s\" (19). \"buckboard\": \"b\" (2). \"missive\": \"m\" (13). \"windowpane\": \"w\" (23).\nThought 2: We now have: (1) \"arctan\" < (2) [\"beater\" ? \"businesswoman\" ? \"buckboard\"] < (3) [\"chromate\" ? \"cutthroat\"] < (8) \"horton\" < (9) \"irradiate\" < (11) \"katharine\" < (13) \"missive\" < (15) \"oct\" < (16) \"proclaim\" < (19) [\"saskatoon\" ? \"spray\" ? \"squawbush\"] < (23) [\"wayne\" ? \"windowpane\"].\nThought 3: Now let's sort this subpart [\"beater\" ? \"businesswoman\" ? \"buckboard\"] by looking at their second letters. The second letter: \"beater\": \"e\" (5). \"businesswoman\": \"u\" (21). \"buckboard\": \"u\" (21).\nThought 4: We now have: (2) \"beater\" < (21) [\"businesswoman\" ? \"buckboard\"] for the subpart. Hence, we have \"arctan\" < \"beater\" < [\"businesswoman\" ? \"buckboard\"] < [\"chromate\" ? \"cutthroat\"] < \"horton\" < \"irradiate\" < \"katharine\" < \"missive\" < \"oct\" < \"proclaim\" < [\"saskatoon\" ? \"spray\" ? \"squawbush\"] < [\"wayne\" ? \"windowpane\"].\nThought 5: Now let's sort this subpart [\"businesswoman\" ? \"buckboard\"] by looking at their third letters. The third letter: \"businesswoman\": \"s\" (19). \"buckboard\": \"c\" (3).\nThought 6: We now have: (3) \"buckboard\" < (19) \"businesswoman\" for the subpart. Hence, we have \"arctan\" < \"beater\" < \"buckboard\" < \"businesswoman\" < [\"chromate\" ? \"cutthroat\"] < \"horton\" < \"irradiate\" < \"katharine\" < \"missive\" < \"oct\" < \"proclaim\" < [\"saskatoon\" ? \"spray\" ? \"squawbush\"] < [\"wayne\" ? \"windowpane\"].\nThought 7: Now let's sort this subpart [\"chromate\" ? \"cutthroat\"] by looking at their second letters. The second letter: \"chromate\": \"h\" (8). \"cutthroat\": \"u\" (21).\nThought 8: We now have: (8) \"chromate\" < (21) \"cutthroat\" for the subpart. Hence, we have \"arctan\" < \"beater\" < \"buckboard\" < \"businesswoman\" < \"chromate\" < \"cutthroat\" < \"horton\" < \"irradiate\" < \"katharine\" < \"missive\" < \"oct\" < \"proclaim\" < [\"saskatoon\" ? \"spray\" ? \"squawbush\"] < [\"wayne\" ? \"windowpane\"].\nThought 9: Now let's sort this subpart [\"saskatoon\" ? \"spray\" ? \"squawbush\"] by looking at their second letters. The second letter: \"saskatoon\": \"a\" (1). \"spray\": \"p\" (16). \"squawbush\": \"q\" (17).\nThought 10: We now have: (1) \"saskatoon\" < (16) \"spray\" < (17) \"squawbush\" for the subpart. Hence, we have \"arctan\" < \"beater\" < \"buckboard\" < \"businesswoman\" < \"chromate\" < \"cutthroat\" < \"horton\" < \"irradiate\" < \"katharine\" < \"missive\" < \"oct\" < \"proclaim\" < \"saskatoon\" < \"spray\" < \"squawbush\" < [\"wayne\" ? \"windowpane\"].\nThought 11: Now let's sort this subpart [\"wayne\" ? \"windowpane\"] by looking at their second letters. The second letter: \"wayne\": \"a\" (1). \"windowpane\": \"i\" (9).\nThought 12: We now have: (1) \"wayne\" < (9) \"windowpane\" for the subpart. Hence, we have \"arctan\" < \"beater\" < \"buckboard\" < \"businesswoman\" < \"chromate\" < \"cutthroat\" < \"horton\" < \"irradiate\" < \"katharine\" < \"missive\" < \"oct\" < \"proclaim\" < \"saskatoon\" < \"spray\" < \"squawbush\" < \"wayne\" < \"windowpane\".\nThought 13: I have now sorted all the words. The answer is arctan beater buckboard businesswoman chromate cutthroat horton irradiate katharine missive oct proclaim saskatoon spray squawbush wayne windowpane\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:117", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: prestige road snivel dachshund pyrolyse we've conspecific shadbush yaw lockheed israelite quixote threaten epistemology uracil describe ciliate coventry sting gadolinium\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"prestige\": \"p\" (16). \"road\": \"r\" (18). \"snivel\": \"s\" (19). \"dachshund\": \"d\" (4). \"pyrolyse\": \"p\" (16). \"we've\": \"w\" (23). \"conspecific\": \"c\" (3). \"shadbush\": \"s\" (19). \"yaw\": \"y\" (25). \"lockheed\": \"l\" (12). \"israelite\": \"i\" (9). \"quixote\": \"q\" (17). \"threaten\": \"t\" (20). \"epistemology\": \"e\" (5). \"uracil\": \"u\" (21). \"describe\": \"d\" (4). \"ciliate\": \"c\" (3). \"coventry\": \"c\" (3). \"sting\": \"s\" (19). \"gadolinium\": \"g\" (7).\nThought 2: We now have: (3) [\"ciliate\" ? \"coventry\" ? \"conspecific\"] < (4) [\"dachshund\" ? \"describe\"] < (5) \"epistemology\" < (7) \"gadolinium\" < (9) \"israelite\" < (12) \"lockheed\" < (16) [\"prestige\" ? \"pyrolyse\"] < (17) \"quixote\" < (18) \"road\" < (19) [\"shadbush\" ? \"snivel\" ? \"sting\"] < (20) \"threaten\" < (21) \"uracil\" < (23) \"we've\" < (25) \"yaw\".\nThought 3: Now let's sort this subpart [\"ciliate\" ? \"coventry\" ? \"conspecific\"] by looking at their second letters. The second letter: \"ciliate\": \"i\" (9). \"coventry\": \"o\" (15). \"conspecific\": \"o\" (15).\nThought 4: We now have: (3) \"ciliate\" < (9) \"conspecific\" < (15) \"coventry\" for the subpart. Hence, we have \"ciliate\" < \"conspecific\" < \"coventry\" < [\"dachshund\" ? \"describe\"] < \"epistemology\" < \"gadolinium\" < \"israelite\" < \"lockheed\" < [\"prestige\" ? \"pyrolyse\"] < \"quixote\" < \"road\" < [\"shadbush\" ? \"snivel\" ? \"sting\"] < \"threaten\" < \"uracil\" < \"we've\" < \"yaw\".\nThought 5: Now let's sort this subpart [\"dachshund\" ? \"describe\"] by looking at their second letters. The second letter: \"dachshund\": \"a\" (1). \"describe\": \"e\" (5).\nThought 6: We now have: (1) \"dachshund\" < (5) \"describe\" for the subpart. Hence, we have \"ciliate\" < \"conspecific\" < \"coventry\" < \"dachshund\" < \"describe\" < \"epistemology\" < \"gadolinium\" < \"israelite\" < \"lockheed\" < [\"prestige\" ? \"pyrolyse\"] < \"quixote\" < \"road\" < [\"shadbush\" ? \"snivel\" ? \"sting\"] < \"threaten\" < \"uracil\" < \"we've\" < \"yaw\".\nThought 7: Now let's sort this subpart [\"prestige\" ? \"pyrolyse\"] by looking at their second letters. The second letter: \"prestige\": \"r\" (18). \"pyrolyse\": \"y\" (25).\nThought 8: We now have: (18) \"prestige\" < (25) \"pyrolyse\" for the subpart. Hence, we have \"ciliate\" < \"conspecific\" < \"coventry\" < \"dachshund\" < \"describe\" < \"epistemology\" < \"gadolinium\" < \"israelite\" < \"lockheed\" < \"prestige\" < \"pyrolyse\" < \"quixote\" < \"road\" < [\"shadbush\" ? \"snivel\" ? \"sting\"] < \"threaten\" < \"uracil\" < \"we've\" < \"yaw\".\nThought 9: Now let's sort this subpart [\"shadbush\" ? \"snivel\" ? \"sting\"] by looking at their second letters. The second letter: \"shadbush\": \"h\" (8). \"snivel\": \"n\" (14). \"sting\": \"t\" (20).\nThought 10: We now have: (8) \"shadbush\" < (14) \"snivel\" < (20) \"sting\" for the subpart. Hence, we have \"ciliate\" < \"conspecific\" < \"coventry\" < \"dachshund\" < \"describe\" < \"epistemology\" < \"gadolinium\" < \"israelite\" < \"lockheed\" < \"prestige\" < \"pyrolyse\" < \"quixote\" < \"road\" < \"shadbush\" < \"snivel\" < \"sting\" < \"threaten\" < \"uracil\" < \"we've\" < \"yaw\".\nThought 11: I have now sorted all the words. The answer is ciliate conspecific coventry dachshund describe epistemology gadolinium israeli lockheed prestige pyrolyse quixote road shadbush snivel sting threaten uracil we've yaw\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:118", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that s and i are the last two letters. Sort the following words with the new alphabet and separate them with comma: va, sprue, subject, immemorial, anaheim, interpretations, clinic, trafficked, communications, marx, demonstrations, micro, offprint, characterizations, personifications, eaten, madeira", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:125", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: coffin myopic camel companion substantiate setscrew somehow judo bestow headstand alphonse typesetter sultan squatting napoleonic quasiparticle\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"coffin\": \"c\" (3). \"myopic\": \"m\" (13). \"camel\": \"c\" (3). \"companion\": \"c\" (3). \"substantiate\": \"s\" (19). \"setscrew\": \"s\" (19). \"somehow\": \"s\" (19). \"judo\": \"j\" (10). \"bestow\": \"b\" (2). \"headstand\": \"h\" (8). \"alphonse\": \"a\" (1). \"typesetter\": \"t\" (20). \"sultan\": \"s\" (19). \"squatting\": \"s\" (19). \"napoleonic\": \"n\" (14). \"quasiparticle\": \"q\" (17).\nThought 2: We now have: (1) \"alphonse\" < (2) \"bestow\" < (3) [\"camel\" ? \"coffin\" ? \"companion\"] < (8) \"headstand\" < (10) \"judo\" < (13) \"myopic\" < (14) \"napoleonic\" < (17) \"quasiparticle\" < (19) [\"setscrew\" ? \"somehow\" ? \"sultan\" ? \"squatting\"] < (20) \"typesetter\" < (21) \"substantiate\".\nThought 3: Now let's sort this subpart [\"camel\" ? \"coffin\" ? \"companion\"] by looking at their second letters. The second letter: \"camel\": \"a\" (1). \"coffin\": \"o\" (15). \"companion\": \"o\" (15).\nThought 4: We now have: (1) \"camel\" < (15) [\"coffin\" ? \"companion\"] for the subpart. Hence, we have \"alphonse\" < \"bestow\" < \"camel\" < [\"coffin\" ? \"companion\"] < \"headstand\" < \"judo\" < \"myopic\" < \"napoleonic\" < \"quasiparticle\" < [\"setscrew\" ? \"somehow\" ? \"sultan\" ? \"squatting\"] < \"typesetter\" < \"substantiate\".\nThought 5: Now let's sort this subpart [\"coffin\" ? \"companion\"] by looking at their third letters. The third letter: \"coffin\": \"f\" (6). \"companion\": \"n\" (14).\nThought 6: We now have: (6) \"coffin\" < (14) \"companion\" for the subpart. Hence, we have \"alphonse\" < \"bestow\" < \"camel\" < \"coffin\" < \"companion\" < \"headstand\" < \"judo\" < \"myopic\" < \"napoleonic\" < \"quasiparticle\" < [\"setscrew\" ? \"somehow\" ? \"sultan\" ? \"squatting\"] < \"typesetter\" < \"substantiate\".\nThought 7: Now let's sort this subpart [\"setscrew\" ? \"somehow\" ? \"sultan\" ? \"squatting\"] by looking at their second letters. The second letter: \"setscrew\": \"e\" (5). \"somehow\": \"o\" (15). \"sultan\": \"u\" (21). \"squatting\": \"q\" (17).\nThought 8: We now have: (5) \"setscrew\" < (15) \"somehow\" < (17) \"squatting\" < (21) \"sultan\" for the subpart. Hence, we have \"alphonse\" < \"bestow\" < \"camel\" < \"coffin\" < \"companion\" < \"headstand\" < \"judo\" < \"myopic\" < \"napoleonic\" < \"quasiparticle\" < \"setscrew\" < \"somehow\" < \"squatting\" < \"sultan\" < \"typesetter\" < \"substantiate\".\nThought 9: I have now sorted all the words. The answer is alphonse bestow camel coffin companion headstand judo myopic napoleonic quasiparticle setscrew somehow squatting sultan typesetter substantiate\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:126", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: hippy bray brockle tempestuous north motorcar crush crustacean triumphant morris tomahawk portal second\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"hippy\": \"h\" (8). \"bray\": \"b\" (2). \"brockle\": \"b\" (2). \"tempestuous\": \"t\" (20). \"north\": \"n\" (14). \"motorcar\": \"m\" (13). \"crush\": \"c\" (3). \"crustacean\": \"c\" (3). \"triumphant\": \"t\" (20). \"morris\": \"m\" (13). \"tomahawk\": \"t\" (20). \"portal\": \"p\" (16). \"second\": \"s\" (19).\nThought 2: We now have: (2) [\"bray\" ? \"brockle\"] < (3) [\"crush\" ? \"crustacean\"] < (8) \"hippy\" < (13) [\"motorcar\" ? \"morris\"] < (14) \"north\" < (16) \"portal\" < (19) \"second\" < (20) [\"tempestuous\" ? \"triumphant\" ? \"tomahawk\"].\nThought 3: Now let's sort this subpart [\"bray\" ? \"brockle\"] by looking at their second letters. The second letter: \"bray\": \"r\" (18). \"brockle\": \"r\" (18).\nThought 4: We now have: (18) [\"bray\" ? \"brockle\"] for the subpart. Hence, we have [\"bray\" ? \"brockle\"] < (3) [\"crush\" ? \"crustacean\"] < (8) \"hippy\" < (13) [\"motorcar\" ? \"morris\"] < (14) \"north\" < (16) \"portal\" < (19) \"second\" < (20) [\"tempestuous\" ? \"triumphant\" ? \"tomahawk\"].\nThought 5: Now let's sort this subpart [\"crush\" ? \"crustacean\"] by looking at their second letters. The second letter: \"crush\": \"r\" (18). \"crustacean\": \"r\" (18).\nThought 6: We now have: (18) [\"crush\" ? \"crustacean\"] for the subpart. Hence, we have [\"bray\" ? \"brockle\"] < [\"crush\" ? \"crustacean\"] < (8) \"hippy\" < (13) [\"motorcar\" ? \"morris\"] < (14) \"north\" < (16) \"portal\" < (19) \"second\" < (20) [\"tempestuous\" ? \"triumphant\" ? \"tomahawk\"].\nThought 7: Now let's sort this subpart [\"motorcar\" ? \"morris\"] by looking at their second letters. The second letter: \"motorcar\": \"o\" (15). \"morris\": \"o\" (15).\nThought 8: We now have: (15) [\"motorcar\" ? \"morris\"] for the subpart. Hence, we have [\"bray\" ? \"brockle\"] < [\"crush\" ? \"crustacean\"] < (8) \"hippy\" < (13) [\"motorcar\" ? \"morris\"] < (14) \"north\" < (16) \"portal\" < (19) \"second\" < (20) [\"tempestuous\" ? \"triumphant\" ? \"tomahawk\"].\nThought 9: Now let's sort this subpart [\"tempestuous\" ? \"triumphant\" ? \"tomahawk\"] by looking at their second letters. The second letter: \"tempestuous\": \"e\" (5). \"triumphant\": \"r\" (18). \"tomahawk\": \"o\" (15).\nThought 10: We now have: (5) \"tempestuous\" < (15) \"tomahawk\" < (18) \"triumphant\" for the subpart. Hence, we have [\"bray\" ? \"brockle\"] < [\"crush\" ? \"crustacean\"] < (8) \"hippy\" < (13) [\"motorcar\" ? \"morris\"] < (14) \"north\" < (16) \"portal\" < (19) \"second\" < \"tempestuous\" < \"tomahawk\" < \"triumphant\".\nThought 11: Now let's sort this subpart [\"motorcar\" ? \"morris\"] by looking at their third letters. The third letter: \"motorcar\": \"t\" (20). \"morris\": \"r\" (18).\nThought 12: We now have: (18) \"morris\" < (20) \"motorcar\" for the subpart. Hence, we have [\"bray\" ? \"brockle\"] < [\"crush\" ? \"crustacean\"] < (8) \"hippy\" < (13) \"morris\" < \"motorcar\" < (14) \"north\" < (16) \"portal\" < (19) \"second\" < \"tempestuous\" < \"tomahawk\" < \"triumphant\".\nThought 13: Now let's sort this subpart [\"bray\" ? \"brockle\"] by looking at their third letters. The third letter: \"bray\": \"a\" (1). \"brockle\": \"o\" (15).\nThought 14: We now have: (1) \"bray\" < (15) \"brockle\" for the subpart. Hence, we have \"bray\" < \"brockle\" < [\"crush\" ? \"crustacean\"] < (8) \"hippy\" < (13) \"morris\" < \"motorcar\" < (14) \"north\" < (16) \"portal\" < (19) \"second\" < \"tempestuous\" < \"tomahawk\" < \"triumphant\".\nThought 15: Now let's sort this subpart [\"crush\" ? \"crustacean\"] by looking at their third letters. The third letter: \"crush\": \"u\" (21). \"crustacean\": \"s\" (19).\nThought 16: We now have: (19) \"crustacean\" < (21) \"crush\" for the subpart. Hence, we have \"bray\" < \"brockle\" < \"crustacean\" < \"crush\" < (8) \"hippy\" < (13) \"morris\" < \"motorcar\" < (14) \"north\" < (16) \"portal\" < (19) \"second\" < \"tempestuous\" < \"tomahawk\" < \"triumphant\".\nThought 17: I have now sorted all the words. The answer is bray brockle crustacean crush hippy motorcar morris north portal second tempestuous tomahawk triumphant\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:127", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that q and b are the last two letters. Sort the following words with the new alphabet and separate them with comma: investigations, implementations, postprocessor, qualifications, technion, heron, generalizations, modifications, bruckner, gambit, fungus, allusion, admiration, proscenium, cruise, bandgap, maidenhair, accessory", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:128", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: box intestate fled fibrosis pavilion carib borneo angular\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"box\": \"b\" (2). \"intestate\": \"i\" (9). \"fled\": \"f\" (6). \"fibrosis\": \"f\" (6). \"pavilion\": \"p\" (16). \"carib\": \"c\" (3). \"borneo\": \"b\" (2). \"angular\": \"a\" (1).\nThought 2: We now have: (1) \"angular\" < (2) [\"borneo\" ? \"box\"] < (3) \"carib\" < (6) [\"fled\" ? \"fibrosis\"] < (9) \"intestate\" < (16) \"pavilion\".\nThought 3: Now let's sort this subpart [\"borneo\" ? \"box\"] by looking at their second letters. The second letter: \"borneo\": \"o\" (15). \"box\": \"o\" (15).\nThought 4: We now have: (15) [\"borneo\" ? \"box\"] for the subpart. Hence, we have \"angular\" < [\"borneo\" ? \"box\"] < \"carib\" < [\"fled\" ? \"fibrosis\"] < \"intestate\" < \"pavilion\".\nThought 5: Now let's sort this subpart [\"fled\" ? \"fibrosis\"] by looking at their second letters. The second letter: \"fled\": \"l\" (12). \"fibrosis\": \"i\" (9).\nThought 6: We now have: (9) \"fibrosis\" < (12) \"fled\" for the subpart. Hence, we have \"angular\" < [\"borneo\" ? \"box\"] < \"carib\" < \"fibrosis\" < \"fled\" < \"intestate\" < \"pavilion\".\nThought 7: Now let's sort this subpart [\"borneo\" ? \"box\"] by looking at their third letters. The third letter: \"borneo\": \"r\" (18). \"box\": \"x\" (24).\nThought 8: We now have: (18) \"borneo\" < (24) \"box\" for the subpart. Hence, we have angular < borneo < carib < fibrosis < fled < intestate < pavilion < box.\nThought 9: I have now sorted all the words. The answer is angular borneo carib fibrosis fled intestate pavilion box\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:134", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: beater chum cz voiceband edmund wring baccalaureate muscovite basel landlord\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"beater\": \"b\" (2). \"chum\": \"c\" (3). \"cz\": \"c\" (3). \"voiceband\": \"v\" (22). \"edmund\": \"e\" (5). \"wring\": \"w\" (23). \"baccalaureate\": \"b\" (2). \"muscovite\": \"m\" (13). \"basel\": \"b\" (2). \"landlord\": \"l\" (12).\nThought 2: We now have: (2) [\"beater\" ? \"basel\" ? \"baccalaureate\"] < (3) [\"chum\" ? \"cz\"] < (5) \"edmund\" < (12) \"landlord\" < (13) \"muscovite\" < (22) \"voiceband\" < (23) \"wring\".\nThought 3: Now let's sort this subpart [\"beater\" ? \"basel\" ? \"baccalaureate\"] by looking at their second letters. The second letter: \"beater\": \"e\" (5). \"basel\": \"a\" (1). \"baccalaureate\": \"a\" (1).\nThought 4: We now have: (1) \"basel\" ? \"baccalaureate\" < (5) \"beater\" for the subpart. Hence, we have [\"basel\" ? \"baccalaureate\"] < \"beater\" < (3) [\"chum\" ? \"cz\"] < (5) \"edmund\" < (12) \"landlord\" < (13) \"muscovite\" < (22) \"voiceband\" < (23) \"wring\".\nThought 5: Now let's sort this subpart [\"basel\" ? \"baccalaureate\"] by looking at their third letters. The third letter: \"basel\": \"s\" (19). \"baccalaureate\": \"c\" (3).\nThought 6: We now have: (3) \"baccalaureate\" < (19) \"basel\" for the subpart. Hence, we have \"baccalaureate\" < \"basel\" < \"beater\" < (3) [\"chum\" ? \"cz\"] < (5) \"edmund\" < (12) \"landlord\" < (13) \"muscovite\" < (22) \"voiceband\" < (23) \"wring\".\nThought 7: Now let's sort this subpart [\"chum\" ? \"cz\"] by looking at their second letters. The second letter: \"chum\": \"h\" (8). \"cz\": \"z\" (26).\nThought 8: We now have: (8) \"chum\" < (26) \"cz\" for the subpart. Hence, we have \"baccalaureate\" < \"basel\" < \"beater\" < \"chum\" < \"cz\" < (5) \"edmund\" < (12) \"landlord\" < (13) \"muscovite\" < (22) \"voiceband\" < (23) \"wring\".\nThought 9: I have now sorted all the words. The answer is baccalaureate basel beater chum cz edmund landlord muscovite voiceband wring\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:135", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: occident gasket halley doormen profile haystack bong daley syllable shoshone skip catalina coltsfoot before comprehension bub\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"occident\": \"o\" (15). \"gasket\": \"g\" (7). \"halley\": \"h\" (8). \"doormen\": \"d\" (4). \"profile\": \"p\" (16). \"haystack\": \"h\" (8). \"bong\": \"b\" (2). \"daley\": \"d\" (4). \"syllable\": \"s\" (19). \"shoshone\": \"s\" (19). \"skip\": \"s\" (19). \"catalina\": \"c\" (3). \"coltsfoot\": \"c\" (3). \"before\": \"b\" (2). \"comprehension\": \"c\" (3). \"bub\": \"b\" (2).\nThought 2: We now have: (2) [\"before\" ? \"bong\" ? \"bub\"] < (3) [\"comprehension\" ? \"catalina\" ? \"coltsfoot\"] < (4) [\"daley\" ? \"doormen\"] < (7) \"gasket\" < (8) [\"halley\" ? \"haystack\"] < (15) \"occident\" < (16) \"profile\" < (19) [\"skip\" ? \"syllable\" ? \"shoshone\"].\nThought 3: Now let's sort this subpart [\"before\" ? \"bong\" ? \"bub\"] by looking at their second letters. The second letter: \"before\": \"e\" (5). \"bong\": \"o\" (15). \"bub\": \"u\" (21).\nThought 4: We now have: (5) \"before\" < (15) \"bong\" < (21) \"bub\" for the subpart. Hence, we have [\"before\" ? \"bong\" ? \"bub\"] < (3) [\"comprehension\" ? \"catalina\" ? \"coltsfoot\"] < (4) [\"daley\" ? \"doormen\"] < (7) \"gasket\" < (8) [\"halley\" ? \"haystack\"] < (15) \"occident\" < (16) \"profile\" < (19) [\"skip\" ? \"syllable\" ? \"shoshone\"].\nThought 5: Now let's sort this subpart [\"comprehension\" ? \"catalina\" ? \"coltsfoot\"] by looking at their second letters. The second letter: \"comprehension\": \"o\" (15). \"catalina\": \"a\" (1). \"coltsfoot\": \"o\" (15).\nThought 6: We now have: (1) \"catalina\" < (15) [\"comprehension\" ? \"coltsfoot\"] for the subpart. Hence, we have [\"before\" ? \"bong\" ? \"bub\"] < (3) \"catalina\" < (3) [\"comprehension\" ? \"coltsfoot\"] < (4) [\"daley\" ? \"doormen\"] < (7) \"gasket\" < (8) [\"halley\" ? \"haystack\"] < (15) \"occident\" < (16) \"profile\" < (19) [\"skip\" ? \"syllable\" ? \"shoshone\"].\nThought 7: Now let's sort this subpart [\"before\" ? \"bong\" ? \"bub\"] by looking at their third letters. The third letter: \"before\": \"f\" (6). \"bong\": \"n\" (14). \"bub\": \"b\" (2).\nThought 8: We now have: (2) \"bub\" < (6) \"before\" < (14) \"bong\" for the subpart. Hence, we have \"bub\" < \"before\" < \"bong\" < (3) \"catalina\" < (3) [\"comprehension\" ? \"coltsfoot\"] < (4) [\"daley\" ? \"doormen\"] < (7) \"gasket\" < (8) [\"halley\" ? \"haystack\"] < (15) \"occident\" < (16) \"profile\" < (19) [\"skip\" ? \"syllable\" ? \"shoshone\"].\nThought 9: Now let's sort this subpart [\"comprehension\" ? \"coltsfoot\"] by looking at their third letters. The third letter: \"comprehension\": \"m\" (13). \"coltsfoot\": \"l\" (12).\nThought 10: We now have: (12) \"coltsfoot\" < (13) \"comprehension\" for the subpart. Hence, we have \"bub\" < \"before\" < \"bong\" < (3) \"catalina\" < (3) \"coltsfoot\" < (3) \"comprehension\" < (4) [\"daley\" ? \"doormen\"] < (7) \"gasket\" < (8) [\"halley\" ? \"haystack\"] < (15) \"occident\" < (16) \"profile\" < (19) [\"skip\" ? \"syllable\" ? \"shoshone\"].\nThought 11: Now let's sort this subpart [\"daley\" ? \"doormen\"] by looking at their second letters. The second letter: \"daley\": \"a\" (1). \"doormen\": \"o\" (15).\nThought 12: We now have: (1) \"daley\" < (15) \"doormen\" for the subpart. Hence, we have \"bub\" < \"before\" < \"bong\" < (3) \"catalina\" < (3) \"coltsfoot\" < (3) \"comprehension\" < (4) \"daley\" < (4) \"doormen\" < (7) \"gasket\" < (8) [\"halley\" ? \"haystack\"] < (15) \"occident\" < (16) \"profile\" < (19) [\"skip\" ? \"syllable\" ? \"shoshone\"].\nThought 13: Now let's sort this subpart [\"halley\" ? \"haystack\"] by looking at their second letters. The second letter: \"halley\": \"a\" (1). \"haystack\": \"a\" (1).\nThought 14: We now have: (1) [\"halley\" ? \"haystack\"] for the subpart. Hence, we have \"bub\" < \"before\" < \"bong\" < (3) \"catalina\" < (3) \"coltsfoot\" < (3) \"comprehension\" < (4) \"daley\" < (4) \"doormen\" < (7) \"gasket\" < (8) [\"halley\" ? \"haystack\"] < (15) \"occident\" < (16) \"profile\" < (19) [\"skip\" ? \"syllable\" ? \"shoshone\"].\nThought 15: Now let's sort this subpart [\"skip\" ? \"syllable\" ? \"shoshone\"] by looking at their second letters. The second letter: \"skip\": \"k\" (11). \"syllable\": \"y\" (25). \"shoshone\": \"o\" (15).\nThought 16: We now have: (11) \"skip\" < (15) \"shoshone\" < (25) \"syllable\" for the subpart. Hence, we have \"bub\" < \"before\" < \"bong\" < (3) \"catalina\" < (3) \"coltsfoot\" < (3) \"comprehension\" < (4) \"daley\" < (4) \"doormen\" < (7) \"gasket\" < (8) [\"halley\" ? \"haystack\"] < (15) \"occident\" < (16) \"profile\" < (19) \"skip\" < (19) \"shoshone\" < (19) \"syllable\".\nThought 17: I have now sorted all the words. The answer is before bong bub catalina coltsfoot comprehension daley doormen gasket halley haystack skip occident profile shoshone syllable\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:141", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: whisper eyesight titmice mirage fletch cry biennial creedal miltonic fraudulent j\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"whisper\": \"w\" (23). \"eyesight\": \"e\" (5). \"titmice\": \"t\" (20). \"mirage\": \"m\" (13). \"fletch\": \"f\" (6). \"cry\": \"c\" (3). \"biennial\": \"b\" (2). \"creedal\": \"c\" (3). \"miltonic\": \"m\" (13). \"fraudulent\": \"f\" (6). \"j\": \"j\" (10).\nThought 2: We now have: (2) \"biennial\" < (3) [\"creedal\" ? \"cry\"] < (5) \"eyesight\" < (6) [\"fletch\" ? \"fraudulent\"] < (10) \"j\" < (13) [\"mirage\" ? \"miltonic\"] < (15) \"titmice\" < (23) \"whisper\".\nThought 3: Now let's sort this subpart [\"creedal\" ? \"cry\"] by looking at their second letters. The second letter: \"creedal\": \"r\" (18). \"cry\": \"r\" (18).\nThought 4: We now have: (18) [\"creedal\" ? \"cry\"] for the subpart. Hence, we have \"biennial\" < [\"creedal\" ? \"cry\"] < \"eyesight\" < [\"fletch\" ? \"fraudulent\"] < \"j\" < [\"mirage\" ? \"miltonic\"] < \"titmice\" < \"whisper\".\nThought 5: Now let's sort this subpart [\"fletch\" ? \"fraudulent\"] by looking at their second letters. The second letter: \"fletch\": \"l\" (12). \"fraudulent\": \"r\" (18).\nThought 6: We now have: (12) \"fletch\" < (18) \"fraudulent\" for the subpart. Hence, we have \"biennial\" < [\"creedal\" ? \"cry\"] < \"eyesight\" < \"fletch\" < \"fraudulent\" < \"j\" < [\"mirage\" ? \"miltonic\"] < \"titmice\" < \"whisper\".\nThought 7: Now let's sort this subpart [\"mirage\" ? \"miltonic\"] by looking at their second letters. The second letter: \"mirage\": \"i\" (9). \"miltonic\": \"i\" (9).\nThought 8: We now have: (9) [\"mirage\" ? \"miltonic\"] for the subpart. Hence, we have \"biennial\" < [\"creedal\" ? \"cry\"] < \"eyesight\" < \"fletch\" < \"fraudulent\" < \"j\" < [\"mirage\" ? \"miltonic\"] < \"titmice\" < \"whisper\".\nThought 9: Now let's sort this subpart [\"creedal\" ? \"cry\"] by looking at their third letters. The third letter: \"creedal\": \"e\" (5). \"cry\": \"y\" (25).\nThought 10: We now have: (5) \"creedal\" < (25) \"cry\" for the subpart. Hence, we have \"biennial\" < \"creedal\" < \"cry\" < \"eyesight\" < \"fletch\" < \"fraudulent\" < \"j\" < [\"mirage\" ? \"miltonic\"] < \"titmice\" < \"whisper\".\nThought 11: Now let's sort this subpart [\"mirage\" ? \"miltonic\"] by looking at their third letters. The third letter: \"mirage\": \"a\" (1). \"miltonic\": \"l\" (12).\nThought 12: We now have: (1) \"mirage\" < (12) \"miltonic\" for the subpart. Hence, we have \"biennial\" < \"creedal\" < \"cry\" < \"eyesight\" < \"fletch\" < \"fraudulent\" < \"j\" < \"mirage\" < \"miltonic\" < \"titmice\" < \"whisper\".\nThought 13: I have now sorted all the words. The answer is biennial creedal cry eyesight fletch fraudulent j mirage miltonic titmice whisper\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:142", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: bemadden diem univalent thailand spangle expletive law haw blaine lubbock ascii eightyfold bronzy louvre\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"bemadden\": \"b\" (2). \"diem\": \"d\" (4). \"univalent\": \"u\" (21). \"thailand\": \"t\" (20). \"spangle\": \"s\" (19). \"expletive\": \"e\" (5). \"law\": \"l\" (12). \"haw\": \"h\" (8). \"blaine\": \"b\" (2). \"lubbock\": \"l\" (12). \"ascii\": \"a\" (1). \"eightyfold\": \"e\" (5). \"bronzy\": \"b\" (2). \"louvre\": \"l\" (12).\nThought 2: We now have: (1) \"ascii\" < (2) [\"bemadden\" ? \"blaine\" ? \"bronzy\"] < (4) \"diem\" < (5) [\"eightyfold\" ? \"expletive\"] < (8) \"haw\" < (12) [\"law\" ? \"lubbock\" ? \"louvre\"] < (19) \"spangle\" < (20) \"thailand\" < (21) \"univalent\".\nThought 3: Now let's sort this subpart [\"bemadden\" ? \"blaine\" ? \"bronzy\"] by looking at their second letters. The second letter: \"bemadden\": \"e\" (5). \"blaine\": \"l\" (12). \"bronzy\": \"r\" (18).\nThought 4: We now have: (5) \"bemadden\" < (12) \"blaine\" < (18) \"bronzy\" for the subpart. Hence, we have \"ascii\" < \"bemadden\" < \"blaine\" < \"bronzy\" < \"diem\" < [\"eightyfold\" ? \"expletive\"] < \"haw\" < [\"law\" ? \"lubbock\" ? \"louvre\"] < \"spangle\" < \"thailand\" < \"univalent\".\nThought 5: Now let's sort this subpart [\"eightyfold\" ? \"expletive\"] by looking at their second letters. The second letter: \"eightyfold\": \"i\" (9). \"expletive\": \"x\" (24).\nThought 6: We now have: (9) \"eightyfold\" < (24) \"expletive\" for the subpart. Hence, we have \"ascii\" < \"bemadden\" < \"blaine\" < \"bronzy\" < \"diem\" < \"eightyfold\" < \"expletive\" < \"haw\" < [\"law\" ? \"lubbock\" ? \"louvre\"] < \"spangle\" < \"thailand\" < \"univalent\".\nThought 7: Now let's sort this subpart [\"law\" ? \"lubbock\" ? \"louvre\"] by looking at their second letters. The second letter: \"law\": \"a\" (1). \"lubbock\": \"u\" (21). \"louvre\": \"o\" (15).\nThought 8: We now have: (1) \"law\" < (15) \"louvre\" < (21) \"lubbock\" for the subpart. Hence, we have \"ascii\" < \"bemadden\" < \"blaine\" < \"bronzy\" < \"diem\" < \"eightyfold\" < \"expletive\" < \"haw\" < \"law\" < \"louvre\" < \"lubbock\" < \"spangle\" < \"thailand\" < \"univalent\".\nThought 9: I have now sorted all the words. The answer is ascii bemadden blaine bronzy diem eightyfold expletive haw law louvre lubbock spangle thailand univalent\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:144", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that a and o are the first two letters. Sort the following words with the new alphabet and separate them with comma: oscillatory, misrepresentations, passenger, armful, stockholder, embryology, implementations, gasify, tip, bonaventure, through, guiana, dictatorial, indistinguishable, pancreatic, cremate, herman, frond, abo, collaborations, administrations, referential, antidisestablishmentarianism", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:147", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that p and d are swapped. Sort the following words with the new alphabet and separate them with comma: disenfranchisement, fasciculate, judicature, classifications, presto, disqualifications, publications, qualifications", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:148", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: celebes specimen krakow coleman topmost vaughn hagen whop cookie blurb tonk crosspoint sagacity course hattie zoom wanton tarpaper rd\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"celebes\": \"c\" (3). \"specimen\": \"s\" (19). \"krakow\": \"k\" (11). \"coleman\": \"c\" (3). \"topmost\": \"t\" (20). \"vaughn\": \"v\" (22). \"hagen\": \"h\" (8). \"whop\": \"w\" (23). \"cookie\": \"c\" (3). \"blurb\": \"b\" (2). \"tonk\": \"t\" (20). \"crosspoint\": \"c\" (3). \"sagacity\": \"s\" (19). \"course\": \"c\" (3). \"hattie\": \"h\" (8). \"zoom\": \"z\" (26). \"wanton\": \"w\" (23). \"tarpaper\": \"t\" (20). \"rd\": \"r\" (18).\nThought 2: We now have: (2) \"blurb\" < (3) [\"celebes\" ? \"coleman\" ? \"cookie\" ? \"crosspoint\" ? \"course\"] < (8) [\"hagen\" ? \"hattie\"] < (11) \"krakow\" < (18) \"rd\" < (19) [\"sagacity\" ? \"specimen\"] < (20) [\"topmost\" ? \"tonk\" ? \"tarpaper\"] < (22) \"vaughn\" < (23) [\"wanton\" ? \"whop\"] < (26) \"zoom\".\nThought 3: Now let's sort this subpart [\"celebes\" ? \"coleman\" ? \"cookie\" ? \"crosspoint\" ? \"course\"] by looking at their second letters. The second letter: \"celebes\": \"e\" (5). \"coleman\": \"o\" (15). \"cookie\": \"o\" (15). \"crosspoint\": \"r\" (18). \"course\": \"o\" (15).\nThought 4: We now have: (5) \"celebes\" < (15) [\"coleman\" ? \"cookie\" ? \"course\"] < (18) \"crosspoint\" for the subpart.\nThought 5: Now let's sort this subpart [\"coleman\" ? \"cookie\" ? \"course\"] by looking at their third letters. The third letter: \"coleman\": \"e\" (5). \"cookie\": \"k\" (11). \"course\": \"u\" (21).\nThought 6: We now have: (5) \"coleman\" < (11) \"cookie\" < (21) \"course\" for the subpart. Hence, we have \"blurb\" < \"celebes\" < \"coleman\" < \"cookie\" < \"crosspoint\" < \"course\" < \"hagen\" < \"hattie\" < \"krakow\" < \"rd\" < \"sagacity\" < \"specimen\" < \"topmost\" < \"tonk\" < \"tarpaper\" < \"vaughn\" < \"wanton\" < \"whop\" < \"zoom\".\nThought 7: I have now sorted all the words. The answer is blurb celebes coleman cookie crosspoint course hagen hattie krakow rd sagacity specimen topmost tonk tarpaper vaughn wanton whop zoom\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:150", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: gazpacho indiscreet ballast erosible agglomerate ogle dollop spaniard oilcloth expiry manuel extensor\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"gazpacho\": \"g\" (7). \"indiscreet\": \"i\" (9). \"ballast\": \"b\" (2). \"erodible\": \"e\" (5). \"agglomerate\": \"a\" (1). \"ogle\": \"o\" (15). \"dollop\": \"d\" (4). \"spaniard\": \"s\" (19). \"oilcloth\": \"o\" (15). \"expiry\": \"e\" (5). \"manuel\": \"m\" (13). \"extensor\": \"e\" (5).\nThought 2: We now have: (1) \"agglomerate\" < (2) \"ballast\" < (5) [\"erodible\" ? \"expiry\" ? \"extensor\"] < (7) \"gazpacho\" < (9) \"indiscreet\" < (13) \"manuel\" < (15) [\"ogle\" ? \"oilcloth\"] < (19) \"spaniard\" < (20) \"dollop\".\nThought 3: Now let's sort this subpart [\"erodible\" ? \"expiry\" ? \"extensor\"] by looking at their second letters. The second letter: \"erodible\": \"r\" (18). \"expiry\": \"x\" (24). \"extensor\": \"x\" (24).\nThought 4: We now have: (5) \"erodible\" < (24) [\"expiry\" ? \"extensor\"] for the subpart. Hence, we have \"agglomerate\" < \"ballast\" < \"erodible\" < [\"expiry\" ? \"extensor\"] < \"gazpacho\" < \"indiscreet\" < \"manuel\" < [\"ogle\" ? \"oilcloth\"] < \"spaniard\" < \"dollop\".\nThought 5: Now let's sort this subpart [\"expiry\" ? \"extensor\"] by looking at their third letters. The third letter: \"expiry\": \"p\" (16). \"extensor\": \"x\" (24).\nThought 6: We now have: (16) \"expiry\" < (24) \"extensor\" for the subpart. Hence, we have \"agglomerate\" < \"ballast\" < \"erodible\" < \"expiry\" < \"extensor\" < \"gazpacho\" < \"indiscreet\" < \"manuel\" < [\"ogle\" ? \"oilcloth\"] < \"spaniard\" < \"dollop\".\nThought 7: Now let's sort this subpart [\"ogle\" ? \"oilcloth\"] by looking at their second letters. The second letter: \"ogle\": \"g\" (7). \"oilcloth\": \"i\" (9).\nThought 8: We now have: (7) \"ogle\" < (9) \"oilcloth\" for the subpart. Hence, we have \"agglomerate\" < \"ballast\" < \"erodible\" < \"expiry\" < \"extensor\" < \"gazpacho\" < \"indiscreet\" < \"manuel\" < \"ogle\" < \"oilcloth\" < \"spaniard\" < \"dollop\".\nThought 9: I have now sorted all the words. The answer is agglomerate ballast dollop erosible expiry extensor gazpacho indiscreet manuel oilcloth ogle spaniard\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:152", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: joey simultaneity wilhelm all foyer sis gestation screwy monarchic mardi\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"joey\": \"j\" (10). \"simultaneity\": \"s\" (19). \"wilhelm\": \"w\" (23). \"all\": \"a\" (1). \"foyer\": \"f\" (6). \"sis\": \"s\" (19). \"gestation\": \"g\" (7). \"screwy\": \"s\" (19). \"monarchic\": \"m\" (13). \"mardi\": \"m\" (13).\nThought 2: We now have: (1) \"all\" < (6) \"foyer\" < (7) \"gestation\" < (10) \"joey\" < (13) [\"monarchic\" ? \"mardi\"] < (19) [\"sis\" ? \"screwy\" ? \"simultaneity\"] < (23) \"wilhelm\".\nThought 3: Now let's sort this subpart [\"monarchic\" ? \"mardi\"] by looking at their second letters. The second letter: \"monarchic\": \"o\" (15). \"mardi\": \"a\" (1).\nThought 4: We now have: (1) \"mardi\" < (15) \"monarchic\" for the subpart. Hence, we have \"all\" < \"foyer\" < \"gestation\" < \"joey\" < \"mardi\" < \"monarchic\" < [\"sis\" ? \"screwy\" ? \"simultaneity\"] < \"wilhelm\".\nThought 5: Now let's sort this subpart [\"sis\" ? \"screwy\" ? \"simultaneity\"] by looking at their second letters. The second letter: \"sis\": \"i\" (9). \"screwy\": \"c\" (3). \"simultaneity\": \"i\" (9).\nThought 6: We now have: (3) \"screwy\" < (9) [\"sis\" ? \"simultaneity\"] for the subpart.\nThought 7: Now let's sort this subpart [\"sis\" ? \"simultaneity\"] by looking at their third letters. The third letter: \"sis\": \"s\" (19). \"simultaneity\": \"m\" (13).\nThought 8: We now have: (13) \"simultaneity\" < (19) \"sis\" for the subpart. Hence, we have \"all\" < \"foyer\" < \"gestation\" < \"joey\" < \"mardi\" < \"monarchic\" < \"screwy\" < \"sis\" < \"simultaneity\" < \"wilhelm\".\nThought 9: I have now sorted all the words. The answer is all foyer gestation joey mardi monarchic screwy sis simultaneity wilhelm\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:153", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that t and i are the last two letters. Sort the following words with the new alphabet and separate them with comma: built, thunderclap, swab, poland, administrations, implementations, interpretations, reconfigurations, characterizations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:154", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: shutdown beebread conveyor courtyard semantic aqueduct lacewing grown mummy infinitude tennessee taillight monarch neural aristocrat topheavy flagler deviate\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"shutdown\": \"s\" (19). \"beebread\": \"b\" (2). \"conveyor\": \"c\" (3). \"courtyard\": \"c\" (3). \"semantic\": \"s\" (19). \"aqueduct\": \"a\" (1). \"lacewing\": \"l\" (12). \"grown\": \"g\" (7). \"mummy\": \"m\" (13). \"infinitude\": \"i\" (9). \"tennessee\": \"t\" (20). \"taillight\": \"t\" (20). \"monarch\": \"m\" (13). \"neural\": \"n\" (14). \"aristocrat\": \"a\" (1). \"topheavy\": \"t\" (20). \"flagler\": \"f\" (6). \"deviate\": \"d\" (4).\nThought 2: We now have: (1) [\"aristocrat\" ? \"aqueduct\"] < (2) \"beebread\" < (3) [\"conveyor\" ? \"courtyard\"] < (4) \"deviate\" < (6) \"flagler\" < (7) \"grown\" < (9) \"infinitude\" < (12) \"lacewing\" < (13) [\"mummy\" ? \"monarch\"] < (14) \"neural\" < (19) [\"semantic\" ? \"shutdown\"] < (20) [\"tennessee\" ? \"taillight\" ? \"topheavy\"].\nThought 3: Now let's sort this subpart [\"aristocrat\" ? \"aqueduct\"] by looking at their second letters. The second letter: \"aristocrat\": \"r\" (18). \"aqueduct\": \"q\" (17).\nThought 4: We now have: (17) \"aqueduct\" < (18) \"aristocrat\" for the subpart. Hence, we have \"aqueduct\" < \"aristocrat\" < \"beebread\" < [\"conveyor\" ? \"courtyard\"] < \"deviate\" < \"flagler\" < \"grown\" < \"infinitude\" < \"lacewing\" < [\"mummy\" ? \"monarch\"] < \"neural\" < [\"semantic\" ? \"shutdown\"] < [\"tennessee\" ? \"taillight\" ? \"topheavy\"].\nThought 5: Now let's sort this subpart [\"conveyor\" ? \"courtyard\"] by looking at their second letters. The second letter: \"conveyor\": \"o\" (15). \"courtyard\": \"o\" (15).\nThought 6: We now have: (15) [\"conveyor\" ? \"courtyard\"] for the subpart. Hence, we have \"aqueduct\" < \"aristocrat\" < \"beebread\" < [\"conveyor\" ? \"courtyard\"] < \"deviate\" < \"flagler\" < \"grown\" < \"infinitude\" < \"lacewing\" < [\"mummy\" ? \"monarch\"] < \"neural\" < [\"semantic\" ? \"shutdown\"] < [\"tennessee\" ? \"taillight\" ? \"topheavy\"].\nThought 7: Now let's sort this subpart [\"mummy\" ? \"monarch\"] by looking at their second letters. The second letter: \"mummy\": \"u\" (21). \"monarch\": \"o\" (15).\nThought 8: We now have: (15) \"monarch\" < (21) \"mummy\" for the subpart. Hence, we have \"aqueduct\" < \"aristocrat\" < \"beebread\" < [\"conveyor\" ? \"courtyard\"] < \"deviate\" < \"flagler\" < \"grown\" < \"infinitude\" < \"lacewing\" < \"monarch\" < \"mummy\" < \"neural\" < [\"semantic\" ? \"shutdown\"] < [\"tennessee\" ? \"taillight\" ? \"topheavy\"].\nThought 9: Now let's sort this subpart [\"semantic\" ? \"shutdown\"] by looking at their second letters. The second letter: \"semantic\": \"e\" (5). \"shutdown\": \"h\" (8).\nThought 10: We now have: (5) \"semantic\" < (8) \"shutdown\" for the subpart. Hence, we have \"aqueduct\" < \"aristocrat\" < \"beebread\" < [\"conveyor\" ? \"courtyard\"] < \"deviate\" < \"flagler\" < \"grown\" < \"infinitude\" < \"lacewing\" < \"monarch\" < \"mummy\" < \"neural\" < \"semantic\" < \"shutdown\" < [\"tennessee\" ? \"taillight\" ? \"topheavy\"].\nThought 11: Now let's sort this subpart [\"tennessee\" ? \"taillight\" ? \"topheavy\"] by looking at their second letters. The second letter: \"tennessee\": \"e\" (5). \"taillight\": \"a\" (1). \"topheavy\": \"o\" (15).\nThought 12: We now have: (1) \"taillight\" < (5) \"tennessee\" < (15) \"topheavy\" for the subpart. Hence, we have \"aqueduct\" < \"aristocrat\" < \"beebread\" < [\"conveyor\" ? \"courtyard\"] < \"deviate\" < \"flagler\" < \"grown\" < \"infinitude\" < \"lacewing\" < \"monarch\" < \"mummy\" < \"neural\" < \"semantic\" < \"shutdown\" < \"taillight\" < \"tennessee\" < \"topheavy\".\nThought 13: I have now sorted all the words. The answer is aqueduct aristocrat beebread conveyor courtyard deviate flagler grown infinitude lacewing mummy monarch neural semantic shutdown taillight tennessee topheavy\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:161", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: viennese hoagy conestoga anaphora heuser muscovy olivine buddy riboflavin exercise eukaryote october bonnie galley smoothbore weren't\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"viennese\": \"v\" (22). \"hoagy\": \"h\" (8). \"conestoga\": \"c\" (3). \"anaphora\": \"a\" (1). \"heuser\": \"h\" (8). \"muscovy\": \"m\" (13). \"olivine\": \"o\" (15). \"buddy\": \"b\" (2). \"riboflavin\": \"r\" (18). \"exercise\": \"e\" (5). \"eukaryote\": \"e\" (5). \"october\": \"o\" (15). \"bonnie\": \"b\" (2). \"galley\": \"g\" (7). \"smoothbore\": \"s\" (19). \"weren't\": \"w\" (23).\nThought 2: We now have: (1) \"anaphora\" < (2) [\"bonnie\" ? \"buddy\"] < (3) \"conestoga\" < (5) [\"exercise\" ? \"eukaryote\"] < (7) \"galley\" < (8) [\"hoagy\" ? \"heuser\"] < (13) \"muscovy\" < (15) [\"olivine\" ? \"october\"] < (18) \"riboflavin\" < (19) \"smoothbore\" < (22) \"viennese\" < (23) \"weren't\".\nThought 3: Now let's sort this subpart [\"bonnie\" ? \"buddy\"] by looking at their second letters. The second letter: \"bonnie\": \"o\" (15). \"buddy\": \"u\" (21).\nThought 4: We now have: (15) \"bonnie\" < (21) \"buddy\" for the subpart. Hence, we have \"anaphora\" < \"bonnie\" < \"buddy\" < \"conestoga\" < [\"exercise\" ? \"eukaryote\"] < \"galley\" < [\"hoagy\" ? \"heuser\"] < \"muscovy\" < [\"olivine\" ? \"october\"] < \"riboflavin\" < \"smoothbore\" < \"viennese\" < \"weren't\".\nThought 5: Now let's sort this subpart [\"exercise\" ? \"eukaryote\"] by looking at their second letters. The second letter: \"exercise\": \"x\" (24). \"eukaryote\": \"u\" (21).\nThought 6: We now have: (21) \"eukaryote\" < (24) \"exercise\" for the subpart. Hence, we have \"anaphora\" < \"bonnie\" < \"buddy\" < \"conestoga\" < \"eukaryote\" < \"exercise\" < \"galley\" < [\"hoagy\" ? \"heuser\"] < \"muscovy\" < [\"olivine\" ? \"october\"] < \"riboflavin\" < \"smoothbore\" < \"viennese\" < \"weren't\".\nThought 7: Now let's sort this subpart [\"hoagy\" ? \"heuser\"] by looking at their second letters. The second letter: \"hoagy\": \"a\" (1). \"heuser\": \"e\" (5).\nThought 8: We now have: (1) \"hoagy\" < (5) \"heuser\" for the subpart. Hence, we have \"anaphora\" < \"bonnie\" < \"buddy\" < \"conestoga\" < \"eukaryote\" < \"exercise\" < \"galley\" < \"hoagy\" < \"heuser\" < \"muscovy\" < [\"olivine\" ? \"october\"] < \"riboflavin\" < \"smoothbore\" < \"viennese\" < \"weren't\".\nThought 9: Now let's sort this subpart [\"olivine\" ? \"october\"] by looking at their second letters. The second letter: \"olivine\": \"l\" (12). \"october\": \"c\" (3).\nThought 10: We now have: (3) \"october\" < (12) \"olivine\" for the subpart. Hence, we have \"anaphora\" < \"bonnie\" < \"buddy\" < \"conestoga\" < \"eukaryote\" < \"exercise\" < \"galley\" < \"hoagy\" < \"heuser\" < \"muscovy\" < \"october\" < \"olivine\" < \"riboflavin\" < \"smoothbore\" < \"viennese\" < \"weren't\".\nThought 11: I have now sorted all the words. The answer is anaphora buddy bonnie conestoga eukaryote exercise galley hoagy heuser muscovy october olivine riboflavin smoothbore viennese weren't\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:162", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: intimacy christen drake hypocritic corcoran stipulate magnitude driven\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"intimacy\": \"i\" (9). \"christen\": \"c\" (3). \"drake\": \"d\" (4). \"hypocritic\": \"h\" (8). \"corcoran\": \"c\" (3). \"stipulate\": \"s\" (19). \"magnitude\": \"m\" (13). \"driven\": \"d\" (4).\nThought 2: We now have: (3) [\"christen\" ? \"corcoran\"] < (4) [\"drake\" ? \"driven\"] < (8) \"hypocritic\" < (9) \"intimacy\" < (13) \"magnitude\" < (19) \"stipulate\".\nThought 3: Now let's sort this subpart [\"christen\" ? \"corcoran\"] by looking at their second letters. The second letter: \"christen\": \"h\" (8). \"corcoran\": \"o\" (15).\nThought 4: We now have: (8) \"christen\" < (15) \"corcoran\" for the subpart. Hence, we have [\"christen\" ? \"corcoran\"] < [\"drake\" ? \"driven\"] < \"hypocritic\" < \"intimacy\" < \"magnitude\" < \"stipulate\".\nThought 5: Now let's sort this subpart [\"drake\" ? \"driven\"] by looking at their second letters. The second letter: \"drake\": \"r\" (18). \"driven\": \"r\" (18).\nThought 6: We now have: (18) [\"drake\" ? \"driven\"] for the subpart. Hence, we have \"christen\" < \"corcoran\" < [\"drake\" ? \"driven\"] < \"hypocritic\" < \"intimacy\" < \"magnitude\" < \"stipulate\".\nThought 7: Now let's sort this subpart [\"drake\" ? \"driven\"] by looking at their third letters. The third letter: \"drake\": \"a\" (1). \"driven\": \"i\" (9).\nThought 8: We now have: (1) \"drake\" < (9) \"driven\" for the subpart. Hence, we have \"christen\" < \"corcoran\" < \"drake\" < \"driven\" < \"hypocritic\" < \"intimacy\" < \"magnitude\" < \"stipulate\".\nThought 9: I have now sorted all the words. The answer is christen corcoran drake driven hypocritic intimacy magnitude stipulate\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:164", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: grammarian chivalry polkadot gastronomic ferocity brenda knutson endothelial phenotype irreducible bilinear rockaway derivate eaten cacao scurrilous\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"grammarian\": \"g\" (7). \"chivalry\": \"c\" (3). \"polkadot\": \"p\" (16). \"gastronomic\": \"g\" (7). \"ferocity\": \"f\" (6). \"brenda\": \"b\" (2). \"knutson\": \"k\" (11). \"endothelial\": \"e\" (5). \"phenotype\": \"p\" (16). \"irreducible\": \"i\" (9). \"bilinear\": \"b\" (2). \"rockaway\": \"r\" (18). \"derivate\": \"d\" (4). \"eaten\": \"e\" (5). \"cacao\": \"c\" (3). \"scurrilous\": \"s\" (19).\nThought 2: We now have: (2) [\"bilinear\" ? \"brenda\"] < (3) [\"cacao\" ? \"chivalry\"] < (4) \"derivate\" < (5) [\"endothelial\" ? \"eaten\"] < (6) \"ferocity\" < (7) [\"gastronomic\" ? \"grammarian\"] < (9) \"irreducible\" < (11) \"knutson\" < (16) [\"phenotype\" ? \"polkadot\"] < (18) \"rockaway\" < (19) \"scurrilous\".\nThought 3: Now let's sort this subpart [\"bilinear\" ? \"brenda\"] by looking at their second letters. The second letter: \"bilinear\": \"i\" (9). \"brenda\": \"r\" (18).\nThought 4: We now have: (9) \"bilinear\" < (18) \"brenda\" for the subpart. Hence, we have [\"bilinear\" ? \"brenda\"] < [\"cacao\" ? \"chivalry\"] < \"derivate\" < [\"endothelial\" ? \"eaten\"] < \"ferocity\" < [\"gastronomic\" ? \"grammarian\"] < \"irreducible\" < \"knutson\" < [\"phenotype\" ? \"polkadot\"] < \"rockaway\" < \"scurrilous\".\nThought 5: Now let's sort this subpart [\"cacao\" ? \"chivalry\"] by looking at their second letters. The second letter: \"cacao\": \"a\" (1). \"chivalry\": \"h\" (8).\nThought 6: We now have: (1) \"cacao\" < (8) \"chivalry\" for the subpart. Hence, we have [\"bilinear\" ? \"brenda\"] < \"cacao\" < \"chivalry\" < \"derivate\" < [\"endothelial\" ? \"eaten\"] < \"ferocity\" < [\"gastronomic\" ? \"grammarian\"] < \"irreducible\" < \"knutson\" < [\"phenotype\" ? \"polkadot\"] < \"rockaway\" < \"scurrilous\".\nThought 7: Now let's sort this subpart [\"endothelial\" ? \"eaten\"] by looking at their second letters. The second letter: \"endothelial\": \"n\" (14). \"eaten\": \"a\" (1).\nThought 8: We now have: (1) \"eaten\" < (14) \"endothelial\" for the subpart. Hence, we have [\"bilinear\" ? \"brenda\"] < \"cacao\" < \"chivalry\" < \"derivate\" < \"eaten\" < \"endothelial\" < \"ferocity\" < [\"gastronomic\" ? \"grammarian\"] < \"irreducible\" < \"knutson\" < [\"phenotype\" ? \"polkadot\"] < \"rockaway\" < \"scurrilous\".\nThought 9: Now let's sort this subpart [\"gastronomic\" ? \"grammarian\"] by looking at their second letters. The second letter: \"gastronomic\": \"a\" (1). \"grammarian\": \"r\" (18).\nThought 10: We now have: (1) \"gastronomic\" < (18) \"grammarian\" for the subpart. Hence, we have [\"bilinear\" ? \"brenda\"] < \"cacao\" < \"chivalry\" < \"derivate\" < \"eaten\" < \"endothelial\" < \"ferocity\" < \"gastronomic\" < \"grammarian\" < \"irreducible\" < \"knutson\" < [\"phenotype\" ? \"polkadot\"] < \"rockaway\" < \"scurrilous\".\nThought 11: Now let's sort this subpart [\"phenotype\" ? \"polkadot\"] by looking at their second letters. The second letter: \"phenotype\": \"e\" (5). \"polkadot\": \"o\" (15).\nThought 12: We now have: (5) \"phenotype\" < (15) \"polkadot\" for the subpart. Hence, we have [\"bilinear\" ? \"brenda\"] < \"cacao\" < \"chivalry\" < \"derivate\" < \"eaten\" < \"endothelial\" < \"ferocity\" < \"gastronomic\" < \"grammarian\" < \"irreducible\" < \"knutson\" < \"phenotype\" < \"polkadot\" < \"rockaway\" < \"scurrilous\".\nThought 13: Now let's sort this subpart [\"bilinear\" ? \"brenda\"] by looking at their third letters. The third letter: \"bilinear\": \"n\" (14). \"brenda\": \"n\" (14).\nThought 14: We now have: (14) [\"bilinear\" ? \"brenda\"] for the subpart. Hence, we have [\"bilinear\" ? \"brenda\"] < \"cacao\" < \"chivalry\" < \"derivate\" < \"eaten\" < \"endothelial\" < \"ferocity\" < \"gastronomic\" < \"grammarian\" < \"irreducible\" < \"knutson\" < \"phenotype\" < \"polkadot\" < \"rockaway\" < \"scurrilous\".\nThought 15: I have now sorted all the words. The answer is bilinear brenda cacao chivalry derivate eaten endothelial ferocity gastronomic grammarian irreducible knutson phenotype polkadot rockaway scurrilous\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:170", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that p and a are the last two letters. Sort the following words with the new alphabet and separate them with comma: katie, transformations, hurty, contrariety, muong, emanate, iniquity, atavism, organizations, specifications, hoop, crochet, polytope, titrate, grind, guaranteeing, unconstitutionalities, forthwith, prodigy, notifications, dimorphic, more", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:172", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: skate obsessive blew greene cardboard elliptic alchemist suffocate suck truckload incompetent scuba vagary arboreal cutset bernoulli expectorant\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"skate\": \"s\" (19). \"obsessive\": \"o\" (15). \"blew\": \"b\" (2). \"greene\": \"g\" (7). \"cardboard\": \"c\" (3). \"elliptic\": \"e\" (5). \"alchemist\": \"a\" (1). \"suffocate\": \"s\" (19). \"suck\": \"s\" (19). \"truckload\": \"t\" (20). \"incompetent\": \"i\" (9). \"scuba\": \"s\" (19). \"vagary\": \"v\" (22). \"arboreal\": \"a\" (1). \"cutset\": \"c\" (3). \"bernoulli\": \"b\" (2). \"expectorant\": \"e\" (5).\nThought 2: We now have: (1) [\"alchemist\" ? \"arboreal\"] < (2) [\"blew\" ? \"bernoulli\"] < (3) [\"cardboard\" ? \"cutset\"] < (5) [\"elliptic\" ? \"expectorant\"] < (7) \"greene\" < (9) \"incompetent\" < (15) \"obsessive\" < (19) [\"skate\" ? \"scuba\" ? \"suck\" ? \"suffocate\"] < (20) \"truckload\" < (22) \"vagary\".\nThought 3: Now let's sort this subpart [\"alchemist\" ? \"arboreal\"] by looking at their second letters. The second letter: \"alchemist\": \"c\" (3). \"arboreal\": \"r\" (18).\nThought 4: We now have: (3) \"alchemist\" < (18) \"arboreal\" for the subpart. Hence, we have \"alchemist\" < \"arboreal\" < [\"blew\" ? \"bernoulli\"] < [\"cardboard\" ? \"cutset\"] < [\"elliptic\" ? \"expectorant\"] < \"greene\" < \"incompetent\" < \"obsessive\" < [\"skate\" ? \"scuba\" ? \"suck\" ? \"suffocate\"] < \"truckload\" < \"vagary\".\nThought 5: Now let's sort this subpart [\"blew\" ? \"bernoulli\"] by looking at their second letters. The second letter: \"blew\": \"l\" (12). \"bernoulli\": \"e\" (5).\nThought 6: We now have: (5) \"bernoulli\" < (12) \"blew\" for the subpart. Hence, we have \"alchemist\" < \"arboreal\" < \"bernoulli\" < \"blew\" < [\"cardboard\" ? \"cutset\"] < [\"elliptic\" ? \"expectorant\"] < \"greene\" < \"incompetent\" < \"obsessive\" < [\"skate\" ? \"scuba\" ? \"suck\" ? \"suffocate\"] < \"truckload\" < \"vagary\".\nThought 7: Now let's sort this subpart [\"cardboard\" ? \"cutset\"] by looking at their second letters. The second letter: \"cardboard\": \"a\" (1). \"cutset\": \"u\" (21).\nThought 8: We now have: (1) \"cardboard\" < (21) \"cutset\" for the subpart. Hence, we have \"alchemist\" < \"arboreal\" < \"bernoulli\" < \"blew\" < \"cardboard\" < \"cutset\" < [\"elliptic\" ? \"expectorant\"] < \"greene\" < \"incompetent\" < \"obsessive\" < [\"skate\" ? \"scuba\" ? \"suck\" ? \"suffocate\"] < \"truckload\" < \"vagary\".\nThought 9: Now let's sort this subpart [\"elliptic\" ? \"expectorant\"] by looking at their second letters. The second letter: \"elliptic\": \"l\" (12). \"expectorant\": \"p\" (16).\nThought 10: We now have: (12) \"elliptic\" < (16) \"expectorant\" for the subpart. Hence, we have \"alchemist\" < \"arboreal\" < \"bernoulli\" < \"blew\" < \"cardboard\" < \"cutset\" < \"elliptic\" < \"expectorant\" < \"greene\" < \"incompetent\" < \"obsessive\" < [\"skate\" ? \"scuba\" ? \"suck\" ? \"suffocate\"] < \"truckload\" < \"vagary\".\nThought 11: Now let's sort this subpart [\"skate\" ? \"scuba\" ? \"suck\" ? \"suffocate\"] by looking at their second letters. The second letter: \"skate\": \"k\" (11). \"scuba\": \"c\" (3). \"suck\": \"u\" (21). \"suffocate\": \"f\" (6).\nThought 12: We now have: (3) \"scuba\" < (6) \"suffocate\" < (11) \"skate\" < (21) \"suck\" for the subpart. Hence, we have \"alchemist\" < \"arboreal\" < \"bernoulli\" < \"blew\" < \"cardboard\" < \"cutset\" < \"elliptic\" < \"expectorant\" < \"greene\" < \"incompetent\" < \"obsessive\" < \"scuba\" < \"suffocate\" < \"skate\" < \"suck\" < \"truckload\" < \"vagary\".\nThought 13: I have now sorted all the words. The answer is alchemist arboreal blew cardboard cutset elliptic expectorant greene incompetent obsessive scuba skate suck suffocate truckload vagary\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:173", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that e and p are the first two letters. Sort the following words with the new alphabet and separate them with comma: qualifications, accommodations, communications, reconfigurations, anarchic, saline, elution, rowley, bstj, exhumation, pantheist, geld, gradual, profess, furl, liniment, riddance, misunderstandings, j, locomote, midshipman", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:174", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that r and c are swapped. Sort the following words with the new alphabet and separate them with comma: implications, captious, ineligible, communications, iodinate, elton, misrepresentations, olympic, administrations, sherman, representativeness", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:176", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: qed intern thin carla actress xylene dante collateral grosset l's equilateral collocate\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"qed\": \"q\" (17). \"intern\": \"i\" (9). \"thin\": \"t\" (20). \"carla\": \"c\" (3). \"actress\": \"a\" (1). \"xylene\": \"x\" (24). \"dante\": \"d\" (4). \"collateral\": \"c\" (3). \"grosset\": \"g\" (7). \"l's\": \"l\" (12). \"equilateral\": \"e\" (5). \"collocate\": \"c\" (3).\nThought 2: We now have: (1) \"actress\" < (3) [\"carla\" ? \"collateral\" ? \"collocate\"] < (4) \"dante\" < (5) \"equilateral\" < (7) \"grosset\" < (9) \"intern\" < (12) \"l's\" < (17) \"qed\" < (20) \"thin\" < (24) \"xylene\".\nThought 3: Now let's sort this subpart [\"carla\" ? \"collateral\" ? \"collocate\"] by looking at their second letters. The second letter: \"carla\": \"a\" (1). \"collateral\": \"o\" (15). \"collocate\": \"o\" (15).\nThought 4: We now have: (1) \"carla\" < (15) [\"collateral\" ? \"collocate\"] for the subpart. Hence, we have \"actress\" < \"carla\" < [\"collateral\" ? \"collocate\"] < \"dante\" < \"equilateral\" < \"grosset\" < \"intern\" < \"l's\" < \"qed\" < \"thin\" < \"xylene\".\nThought 5: Now let's sort this subpart [\"collateral\" ? \"collocate\"] by looking at their third letters. The third letter: \"collateral\": \"l\" (12). \"collocate\": \"l\" (12).\nThought 6: We now have: (12) [\"collateral\" ? \"collocate\"] for the subpart. Hence, we have \"actress\" < \"carla\" < [\"collateral\" ? \"collocate\"] < \"dante\" < \"equilateral\" < \"grosset\" < \"intern\" < \"l's\" < \"qed\" < \"thin\" < \"xylene\".\nThought 7: Now let's sort this subpart [\"collateral\" ? \"collocate\"] by looking at their fourth letters. The fourth letter: \"collateral\": \"a\" (1). \"collocate\": \"a\" (1).\nThought 8: We now have: (1) [\"collateral\" ? \"collocate\"] for the subpart. Hence, we have \"actress\" < \"carla\" < [\"collateral\" ? \"collocate\"] < \"dante\" < \"equilateral\" < \"grosset\" < \"intern\" < \"l's\" < \"qed\" < \"thin\" < \"xylene\".\nThought 9: Now let's sort this subpart [\"collateral\" ? \"collocate\"] by looking at their fifth letters. The fifth letter: \"collateral\": \"t\" (20). \"collocate\": \"t\" (20).\nThought 10: We now have: (20) [\"collateral\" ? \"collocate\"] for the subpart. Hence, we have \"actress\" < \"carla\" < [\"collateral\" ? \"collocate\"] < \"dante\" < \"equilateral\" < \"grosset\" < \"intern\" < \"l's\" < \"qed\" < \"thin\" < \"xylene\".\nThought 11: Now let's sort this subpart [\"collateral\" ? \"collocate\"] by looking at their sixth letters. The sixth letter: \"collateral\": \"e\" (5). \"collocate\": \"e\" (5).\nThought 12: We now have: (5) [\"collateral\" ? \"collocate\"] for the subpart. Hence, we have \"actress\" < \"carla\" < [\"collateral\" ? \"collocate\"] < \"dante\" < \"equilateral\" < \"grosset\" < \"intern\" < \"l's\" < \"qed\" < \"thin\" < \"xylene\".\nThought 13: Now let's sort this subpart [\"collateral\" ? \"collocate\"] by looking at their seventh letters. The seventh letter: \"collateral\": \"r\" (18). \"collocate\": \"r\" (18).\nThought 14: We now have: (18) [\"collateral\" ? \"collocate\"] for the subpart. Hence, we have \"actress\" < \"carla\" < [\"collateral\" ? \"collocate\"] < \"dante\" < \"equilateral\" < \"grosset\" < \"intern\" < \"l's\" < \"qed\" < \"thin\" < \"xylene\".\nThought 15: Now let's sort this subpart [\"collateral\" ? \"collocate\"] by looking at their eighth letters. The eighth letter: \"collateral\": \"a\" (1). \"collocate\": \"a\" (1).\nThought 16: We now have: (1) [\"collateral\" ? \"collocate\"] for the subpart. Hence, we have \"actress\" < \"carla\" < [\"collateral\" ? \"collocate\"] < \"dante\" < \"equilateral\" < \"grosset\" < \"intern\" < \"l's\" < \"qed\" < \"thin\" < \"xylene\".\nThought 17: I have now sorted all the words. The answer is actress carla collateral dante equilateral grosset intern l's qed thin xylene\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:178", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: apocalypse tote apostle gay kauffman dicta hog prowl aunt calm carboxy dishevel orifice tearful karate ellen\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"apocalypse\": \"a\" (1). \"tote\": \"t\" (20). \"apostle\": \"a\" (1). \"gay\": \"g\" (7). \"kauffman\": \"k\" (11). \"dicta\": \"d\" (4). \"hog\": \"h\" (8). \"prowl\": \"p\" (16). \"aunt\": \"a\" (1). \"calm\": \"c\" (3). \"carboxy\": \"c\" (3). \"dishevel\": \"d\" (4). \"orifice\": \"o\" (15). \"tearful\": \"t\" (20). \"karate\": \"k\" (11). \"ellen\": \"e\" (5).\nThought 2: We now have: (1) [\"apocalypse\" ? \"apostle\" ? \"aunt\" ? \"calm\" ? \"carboxy\"] < (3) \"dicta\" < (4) [\"dishevel\" ? \"dicta\"] < (5) \"ellen\" < (7) \"gay\" < (8) \"hog\" < (11) [\"kauffman\" ? \"karate\"] < (15) \"orifice\" < (16) \"prowl\" < (20) [\"tearful\" ? \"tote\"].\nThought 3: Now let's sort this subpart [\"apocalypse\" ? \"apostle\" ? \"aunt\" ? \"calm\" ? \"carboxy\"] by looking at their second letters. The second letter: \"apocalypse\": \"p\" (16). \"apostle\": \"p\" (16). \"aunt\": \"u\" (21). \"calm\": \"a\" (1). \"carboxy\": \"a\" (1).\nThought 4: We now have: (1) \"calm\" < (16) [\"apocalypse\" ? \"apostle\"] < (21) \"aunt\" < (26) \"carboxy\" for the subpart. Hence, we have \"calm\" < [\"apocalypse\" ? \"apostle\"] < \"aunt\" < \"carboxy\" < \"dicta\" < [\"dishevel\" ? \"dicta\"] < \"ellen\" < \"gay\" < \"hog\" < [\"kauffman\" ? \"karate\"] < \"orifice\" < \"prowl\" < [\"tearful\" ? \"tote\"].\nThought 5: Now let's sort this subpart [\"apocalypse\" ? \"apostle\"] by looking at their third letters. The third letter: \"apocalypse\": \"o\" (15). \"apostle\": \"s\" (19).\nThought 6: We now have: (15) \"apocalypse\" < (19) \"apostle\" for the subpart. Hence, we have \"calm\" < \"apocalypse\" < \"apostle\" < \"aunt\" < \"carboxy\" < \"dicta\" < [\"dishevel\" ? \"dicta\"] < \"ellen\" < \"gay\" < \"hog\" < [\"kauffman\" ? \"karate\"] < \"orifice\" < \"prowl\" < [\"tearful\" ? \"tote\"].\nThought 7: Now let's sort this subpart [\"dishevel\" ? \"dicta\"] by looking at their second letters. The second letter: \"dishevel\": \"i\" (9). \"dicta\": \"i\" (9).\nThought 8: We now have: (9) [\"dishevel\" ? \"dicta\"] for the subpart. Hence, we have \"calm\" < \"apocalypse\" < \"apostle\" < \"aunt\" < \"carboxy\" < \"dicta\" < [\"dishevel\" ? \"dicta\"] < \"ellen\" < \"gay\" < \"hog\" < [\"kauffman\" ? \"karate\"] < \"orifice\" < \"prowl\" < [\"tearful\" ? \"tote\"].\nThought 9: Now let's sort this subpart [\"kauffman\" ? \"karate\"] by looking at their second letters. The second letter: \"kauffman\": \"a\" (1). \"karate\": \"a\" (1).\nThought 10: We now have: (1) [\"kauffman\" ? \"karate\"] for the subpart. Hence, we have \"calm\" < \"apocalypse\" < \"apostle\" < \"aunt\" < \"carboxy\" < \"dicta\" < [\"dishevel\" ? \"dicta\"] < \"ellen\" < \"gay\" < \"hog\" < [\"kauffman\" ? \"karate\"] < \"orifice\" < \"prowl\" < [\"tearful\" ? \"tote\"].\nThought 11: Now let's sort this subpart [\"tearful\" ? \"tote\"] by looking at their second letters. The second letter: \"tearful\": \"e\" (5). \"tote\": \"o\" (15).\nThought 12: We now have: (5) \"tearful\" < (15) \"tote\" for the subpart. Hence, we have \"calm\" < \"apocalypse\" < \"apostle\" < \"aunt\" < \"carboxy\" < \"dicta\" < [\"dishevel\" ? \"dicta\"] < \"ellen\" < \"gay\" < \"hog\" < [\"kauffman\" ? \"karate\"] < \"orifice\" < \"prowl\" < \"tearful\" < \"tote\".\nThought 13: I have now sorted all the words. The answer is apocalypse apostle aunt carboxy calm dicta dishevel ellen gay hog kauffman karate orifice prowl tearful tote\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:180", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c and t are the last two letters. Sort the following words with the new alphabet and separate them with comma: organizations, crowfoot, misunderstandings, scrupulous, manipulations, personifications, campfire, telecommunications, purgatory, contrast", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:181", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: hurst spirogyra dangle magnetron accelerate amuse provoke shanghai speculate mcgregor uk frigga scholastic supple waylay\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"hurst\": \"h\" (8). \"spirogyra\": \"s\" (19). \"dangle\": \"d\" (4). \"magnetron\": \"m\" (13). \"accelerate\": \"a\" (1). \"amuse\": \"a\" (1). \"provoke\": \"p\" (16). \"shanghai\": \"s\" (19). \"speculate\": \"s\" (19). \"mcgregor\": \"m\" (13). \"uk\": \"u\" (21). \"frigga\": \"f\" (6). \"scholastic\": \"s\" (19). \"supple\": \"s\" (19). \"waylay\": \"w\" (23).\nThought 2: We now have: (1) [\"accelerate\" ? \"amuse\"] < (4) \"dangle\" < (6) \"frigga\" < (8) \"hurst\" < (13) [\"magnetron\" ? \"mcgregor\"] < (16) \"provoke\" < (19) [\"shanghai\" ? \"speculate\" ? \"scholastic\" ? \"supple\"] < (21) \"uk\" < (23) \"waylay\".\nThought 3: Now let's sort this subpart [\"accelerate\" ? \"amuse\"] by looking at their second letters. The second letter: \"accelerate\": \"c\" (3). \"amuse\": \"m\" (13).\nThought 4: We now have: (3) \"accelerate\" < (13) \"amuse\" for the subpart. Hence, we have \"accelerate\" < \"amuse\" < \"dangle\" < \"frigga\" < \"hurst\" < [\"magnetron\" ? \"mcgregor\"] < \"provoke\" < [\"shanghai\" ? \"speculate\" ? \"scholastic\" ? \"supple\"] < \"uk\" < \"waylay\".\nThought 5: Now let's sort this subpart [\"magnetron\" ? \"mcgregor\"] by looking at their second letters. The second letter: \"magnetron\": \"a\" (1). \"mcgregor\": \"c\" (3).\nThought 6: We now have: (1) \"magnetron\" < (3) \"mcgregor\" for the subpart. Hence, we have \"accelerate\" < \"amuse\" < \"dangle\" < \"frigga\" < \"hurst\" < \"magnetron\" < \"mcgregor\" < \"provoke\" < [\"shanghai\" ? \"speculate\" ? \"scholastic\" ? \"supple\"] < \"uk\" < \"waylay\".\nThought 7: Now let's sort this subpart [\"shanghai\" ? \"speculate\" ? \"scholastic\" ? \"supple\"] by looking at their second letters. The second letter: \"shanghai\": \"h\" (8). \"speculate\": \"p\" (16). \"scholastic\": \"c\" (3). \"supple\": \"u\" (21).\nThought 8: We now have: (3) \"scholastic\" < (8) \"shanghai\" < (16) \"speculate\" < (21) \"supple\" for the subpart. Hence, we have \"accelerate\" < \"amuse\" < \"dangle\" < \"frigga\" < \"hurst\" < \"magnetron\" < \"mcgregor\" < \"provoke\" < \"scholastic\" < \"shanghai\" < \"speculate\" < \"supple\" < \"uk\" < \"waylay\".\nThought 9: I have now sorted all the words. The answer is accelerate amuse dangle frigga hurst magnetron mcgregor provoke scholastic shanghai speculate supple uk waylay\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:183", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that d and s are swapped. Sort the following words with the new alphabet and separate them with comma: troupe, hodges, dianne, decor, motorcade, stratify, devisee, deoxyribose, auerbach, congratulations, ramifications, collaborations, individualization, individualization, incommensurable", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:187", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: garter now stockbroker signet nucleus intervenor keynote numerology vanderpoel brainard forlorn fenugreek dwindle stripe wig perfidy shady deplore cornea\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"garter\": \"g\" (7). \"now\": \"n\" (14). \"stockbroker\": \"s\" (19). \"signet\": \"s\" (19). \"nucleus\": \"n\" (14). \"intervenor\": \"i\" (9). \"keynote\": \"k\" (11). \"numerology\": \"n\" (14). \"vanderpoel\": \"v\" (22). \"brainard\": \"b\" (2). \"forlorn\": \"f\" (6). \"fenugreek\": \"f\" (6). \"dwindle\": \"d\" (4). \"stripe\": \"s\" (19). \"wig\": \"w\" (23). \"perfidy\": \"p\" (16). \"shady\": \"s\" (19). \"deplore\": \"d\" (4). \"cornea\": \"c\" (3).\nThought 2: We now have: (2) \"brainard\" < (3) \"cornea\" < (4) [\"dwindle\" ? \"deplore\"] < (6) [\"fenugreek\" ? \"forlorn\"] < (7) \"garter\" < (9) \"intervenor\" < (11) \"keynote\" < (14) [\"nucleus\" ? \"now\" ? \"numerology\"] < (16) \"perfidy\" < (19) [\"stripe\" ? \"stockbroker\" ? \"signet\" ? \"shady\"] < (22) \"vanderpoel\" < (23) \"wig\".\nThought 3: Now let's sort this subpart [\"dwindle\" ? \"deplore\"] by looking at their second letters. The second letter: \"dwindle\": \"w\" (23). \"deplore\": \"e\" (5).\nThought 4: We now have: (4) \"deplore\" < (5) \"dwindle\" for the subpart. Hence, we have \"brainard\" < \"cornea\" < \"deplore\" < \"dwindle\" < [\"fenugreek\" ? \"forlorn\"] < \"garter\" < \"intervenor\" < \"keynote\" < [\"nucleus\" ? \"now\" ? \"numerology\"] < \"perfidy\" < [\"stripe\" ? \"stockbroker\" ? \"signet\" ? \"shady\"] < \"vanderpoel\" < \"wig\".\nThought 5: Now let's sort this subpart [\"fenugreek\" ? \"forlorn\"] by looking at their second letters. The second letter: \"fenugreek\": \"e\" (5). \"forlorn\": \"o\" (15).\nThought 6: We now have: (5) \"fenugreek\" < (15) \"forlorn\" for the subpart. Hence, we have \"brainard\" < \"cornea\" < \"deplore\" < \"dwindle\" < \"fenugreek\" < \"forlorn\" < \"garter\" < \"intervenor\" < \"keynote\" < [\"nucleus\" ? \"now\" ? \"numerology\"] < \"perfidy\" < [\"stripe\" ? \"stockbroker\" ? \"signet\" ? \"shady\"] < \"vanderpoel\" < \"wig\".\nThought 7: Now let's sort this subpart [\"nucleus\" ? \"now\" ? \"numerology\"] by looking at their second letters. The second letter: \"nucleus\": \"u\" (21). \"now\": \"o\" (15). \"numerology\": \"u\" (21).\nThought 8: We now have: (15) \"now\" < (21) [\"nucleus\" ? \"numerology\"] for the subpart. Hence, we have \"brainard\" < \"cornea\" < \"deplore\" < \"dwindle\" < \"fenugreek\" < \"forlorn\" < \"garter\" < \"intervenor\" < \"keynote\" < \"now\" < [\"nucleus\" ? \"numerology\"] < \"perfidy\" < [\"stripe\" ? \"stockbroker\" ? \"signet\" ? \"shady\"] < \"vanderpoel\" < \"wig\".\nThought 9: Now let's sort this subpart [\"nucleus\" ? \"numerology\"] by looking at their third letters. The third letter: \"nucleus\": \"c\" (3). \"numerology\": \"m\" (13).\nThought 10: We now have: (3) \"nucleus\" < (13) \"numerology\" for the subpart. Hence, we have \"brainard\" < \"cornea\" < \"deplore\" < \"dwindle\" < \"fenugreek\" < \"forlorn\" < \"garter\" < \"intervenor\" < \"keynote\" < \"now\" < \"nucleus\" < \"numerology\" < \"perfidy\" < [\"stripe\" ? \"stockbroker\" ? \"signet\" ? \"shady\"] < \"vanderpoel\" < \"wig\".\nThought 11: Now let's sort this subpart [\"stripe\" ? \"stockbroker\" ? \"signet\" ? \"shady\"] by looking at their second letters. The second letter: \"stripe\": \"t\" (20). \"stockbroker\": \"t\" (20). \"signet\": \"i\" (9). \"shady\": \"h\" (8).\nThought 12: We now have: (8) \"shady\" < (9) \"signet\" < (20) [\"stripe\" ? \"stockbroker\"] for the subpart. Hence, we have \"brainard\" < \"cornea\" < \"deplore\" < \"dwindle\" < \"fenugreek\" < \"forlorn\" < \"garter\" < \"intervenor\" < \"keynote\" < \"now\" < \"nucleus\" < \"numerology\" < \"perfidy\" < \"shady\" < \"signet\" < [\"stripe\" ? \"stockbroker\"] < \"vanderpoel\" < \"wig\".\nThought 13: Now let's sort this subpart [\"stripe\" ? \"stockbroker\"] by looking at their third letters. The third letter: \"stripe\": \"r\" (18). \"stockbroker\": \"o\" (15).\nThought 14: We now have: (15) \"stockbroker\" < (18) \"stripe\" for the subpart. Hence, we have \"brainard\" < \"cornea\" < \"deplore\" < \"dwindle\" < \"fenugreek\" < \"forlorn\" < \"garter\" < \"intervenor\" < \"keynote\" < \"now\" < \"nucleus\" < \"numerology\" < \"perfidy\" < \"shady\" < \"signet\" < \"stockbroker\" < \"stripe\" < \"vanderpoel\" < \"wig\".\nThought 15: I have now sorted all the words. The answer is brainard cornea deplore dwindle fenugreek forlorn garter intervenor keynote numerology nucleus now perfidy shady signet stockbroker stripe vanderpoel wig\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:188", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: flashlight belly lift public fruit trestle postcard rakish disulfide amherst marco winter legate leningrad snobbish escutcheon brookline thread arrow\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"flashlight\": \"f\" (6). \"belly\": \"b\" (2). \"lift\": \"l\" (12). \"public\": \"p\" (16). \"fruit\": \"f\" (6). \"trestle\": \"t\" (20). \"postcard\": \"p\" (16). \"rakish\": \"r\" (18). \"disulfide\": \"d\" (4). \"amherst\": \"a\" (1). \"marco\": \"m\" (13). \"winter\": \"w\" (23). \"legate\": \"l\" (12). \"leningrad\": \"l\" (12). \"snobbish\": \"s\" (19). \"escutcheon\": \"e\" (5). \"brookline\": \"b\" (2). \"thread\": \"t\" (20). \"arrow\": \"a\" (1).\nThought 2: We now have: (1) [\"amherst\" ? \"arrow\"] < (2) [\"belly\" ? \"brookline\"] < (4) \"disulfide\" < (6) [\"fruit\" ? \"flashlight\"] < (12) [\"legate\" ? \"leningrad\" ? \"lift\"] < (13) \"marco\" < (16) [\"postcard\" ? \"public\"] < (18) \"rakish\" < (19) \"snobbish\" < (20) [\"thread\" ? \"trestle\"] < (23) \"winter\".\nThought 3: Now let's sort this subpart [\"amherst\" ? \"arrow\"] by looking at their second letters. The second letter: \"amherst\": \"m\" (13). \"arrow\": \"r\" (18).\nThought 4: We now have: (13) \"amherst\" < (18) \"arrow\" for the subpart. Hence, we have \"amherst\" < \"arrow\" < [\"belly\" ? \"brookline\"] < \"disulfide\" < [\"fruit\" ? \"flashlight\"] < [\"legate\" ? \"leningrad\" ? \"lift\"] < \"marco\" < [\"postcard\" ? \"public\"] < \"rakish\" < \"snobbish\" < [\"thread\" ? \"trestle\"] < \"winter\".\nThought 5: Now let's sort this subpart [\"belly\" ? \"brookline\"] by looking at their second letters. The second letter: \"belly\": \"e\" (5). \"brookline\": \"r\" (18).\nThought 6: We now have: (5) \"belly\" < (18) \"brookline\" for the subpart. Hence, we have \"amherst\" < \"arrow\" < \"belly\" < \"brookline\" < \"disulfide\" < [\"fruit\" ? \"flashlight\"] < [\"legate\" ? \"leningrad\" ? \"lift\"] < \"marco\" < [\"postcard\" ? \"public\"] < \"rakish\" < \"snobbish\" < [\"thread\" ? \"trestle\"] < \"winter\".\nThought 7: Now let's sort this subpart [\"fruit\" ? \"flashlight\"] by looking at their second letters. The second letter: \"fruit\": \"r\" (18). \"flashlight\": \"l\" (12).\nThought 8: We now have: (12) \"flashlight\" < (18) \"fruit\" for the subpart. Hence, we have \"amherst\" < \"arrow\" < \"belly\" < \"brookline\" < \"disulfide\" < \"flashlight\" < \"fruit\" < [\"legate\" ? \"leningrad\" ? \"lift\"] < \"marco\" < [\"postcard\" ? \"public\"] < \"rakish\" < \"snobbish\" < [\"thread\" ? \"trestle\"] < \"winter\".\nThought 9: Now let's sort this subpart [\"legate\" ? \"leningrad\" ? \"lift\"] by looking at their second letters. The second letter: \"legate\": \"a\" (1). \"leningrad\": \"e\" (5). \"lift\": \"i\" (9).\nThought 10: We now have: (1) \"legate\" < (5) \"leningrad\" < (9) \"lift\" for the subpart. Hence, we have \"amherst\" < \"arrow\" < \"belly\" < \"brookline\" < \"disulfide\" < \"flashlight\" < \"fruit\" < \"legate\" < \"leningrad\" < \"lift\" < \"marco\" < [\"postcard\" ? \"public\"] < \"rakish\" < \"snobbish\" < [\"thread\" ? \"trestle\"] < \"winter\".\nThought 11: Now let's sort this subpart [\"postcard\" ? \"public\"] by looking at their second letters. The second letter: \"postcard\": \"o\" (15). \"public\": \"u\" (21).\nThought 12: We now have: (15) \"postcard\" < (21) \"public\" for the subpart. Hence, we have \"amherst\" < \"arrow\" < \"belly\" < \"brookline\" < \"disulfide\" < \"flashlight\" < \"fruit\" < \"legate\" < \"leningrad\" < \"lift\" < \"marco\" < \"postcard\" < \"public\" < \"rakish\" < \"snobbish\" < [\"thread\" ? \"trestle\"] < \"winter\".\nThought 13: Now let's sort this subpart [\"thread\" ? \"trestle\"] by looking at their second letters. The second letter: \"thread\": \"h\" (8). \"trestle\": \"r\" (18).\nThought 14: We now have: (8) \"thread\" < (18) \"trestle\" for the subpart. Hence, we have \"amherst\" < \"arrow\" < \"belly\" < \"brookline\" < \"disulfide\" < \"flashlight\" < \"fruit\" < \"legate\" < \"leningrad\" < \"lift\" < \"marco\" < \"postcard\" < \"public\" < \"rakish\" < \"snobbish\" < \"thread\" < \"trestle\" < \"winter\".\nThought 15: I have now sorted all the words. The answer is amherst arrow belly brookline disulfide flashlight fruit legate leningrad lift marco postcard public rakish snobbish thread trestle winter\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:191", "request": "\nYou are an expert in word sorting. You will be provided with a list of words and the steps taken, in the form of thoughts, to arrange them in alphabetical order.\nYour job is to identify the first step that was a mistake in reasoning about the order of the words. This can be misunderstanding the order of\nthe alphabet or getting the word or letter wrong or missing a word entirely.\nQ: Sort the following words alphabetically: List: triangulate heterocyclic masque wreath primeval swede popular dull billy iodinate aldehyde pleura leftward holman chill impermissible corruption imperial jiggle equal\nThought 1: I should start by looking at the first letter of the words in the list. The first letter: \"triangulate\": \"t\" (20). \"heterocyclic\": \"h\" (8). \"masque\": \"m\" (13). \"wreath\": \"w\" (23). \"primeval\": \"p\" (16). \"swede\": \"s\" (19). \"popular\": \"p\" (16). \"dull\": \"d\" (4). \"billy\": \"b\" (2). \"iodinate\": \"i\" (9). \"aldehyde\": \"a\" (1). \"pleura\": \"p\" (16). \"leftward\": \"l\" (12). \"holman\": \"h\" (8). \"chill\": \"c\" (3). \"impermissible\": \"i\" (9). \"corruption\": \"c\" (3). \"imperial\": \"i\" (9). \"jiggle\": \"j\" (10). \"equal\": \"e\" (5).\nThought 2: We now have: (1) \"aldehyde\" < (2) \"billy\" < (3) [\"chill\" ? \"corruption\"] < (4) \"dull\" < (5) \"equal\" < (8) [\"heterocyclic\" ? \"holman\"] < (9) [\"impermissible\" ? \"iodinate\" ? \"imperial\"] < (10) \"jiggle\" < (12) \"leftward\" < (13) \"masque\" < (16) [\"pleura\" ? \"popular\" ? \"primeval\" ? \"swede\"] < (19) \"swede\" < (20) \"triangulate\" < (23) \"wreath\".\nThought 3: Now let's sort this subpart [\"chill\" ? \"corruption\"] by looking at their second letters. The second letter: \"chill\": \"i\" (9). \"corruption\": \"o\" (15).\nThought 4: We now have: (9) \"chill\" < (15) \"corruption\" for the subpart. Hence, we have \"aldehyde\" < \"billy\" < \"chill\" < \"corruption\" < \"dull\" < \"equal\" < [\"heterocyclic\" ? \"holman\"] < [\"impermissible\" ? \"iodinate\" ? \"imperial\"] < \"jiggle\" < \"leftward\" < \"masque\" < [\"pleura\" ? \"popular\" ? \"primeval\" ? \"swede\"] < \"swede\" < \"triangulate\" < \"wreath\".\nThought 5: Now let's sort this subpart [\"heterocyclic\" ? \"holman\"] by looking at their second letters. The second letter: \"heterocyclic\": \"e\" (5). \"holman\": \"o\" (15).\nThought 6: We now have: (5) \"heterocyclic\" < (15) \"holman\" for the subpart. Hence, we have \"aldehyde\" < \"billy\" < \"chill\" < \"corruption\" < \"dull\" < \"equal\" < \"heterocyclic\" < \"holman\" < [\"impermissible\" ? \"iodinate\" ? \"imperial\"] < \"jiggle\" < \"leftward\" < \"masque\" < [\"pleura\" ? \"popular\" ? \"primeval\" ? \"swede\"] < \"swede\" < \"triangulate\" < \"wreath\".\nThought 7: Now let's sort this subpart [\"impermissible\" ? \"iodinate\" ? \"imperial\"] by looking at their second letters. The second letter: \"impermissible\": \"m\" (13). \"iodinate\": \"o\" (15). \"imperial\": \"m\" (13).\nThought 8: We now have: (13) [\"impermissible\" ? \"imperial\"] < (15) \"iodinate\" for the subpart. Hence, we have \"aldehyde\" < \"billy\" < \"chill\" < \"corruption\" < \"dull\" < \"equal\" < \"heterocyclic\" < \"holman\" < [\"impermissible\" ? \"imperial\"] < \"iodinate\" < \"jiggle\" < \"leftward\" < \"masque\" < [\"pleura\" ? \"popular\" ? \"primeval\" ? \"swede\"] < \"swede\" < \"triangulate\" < \"wreath\".\nThought 9: Now let's sort this subpart [\"impermissible\" ? \"imperial\"] by looking at their third letters. The third letter: \"impermissible\": \"p\" (16). \"imperial\": \"p\" (16).\nThought 10: We now have: (16) \"impermissible\" = (16) \"imperial\" for the subpart. Hence, we have \"aldehyde\" < \"billy\" < \"chill\" < \"corruption\" < \"dull\" < \"equal\" < \"heterocyclic\" < \"holman\" < \"impermissible\" < \"imperial\" < \"iodinate\" < \"jiggle\" < \"leftward\" < \"masque\" < [\"pleura\" ? \"popular\" ? \"primeval\" ? \"swede\"] < \"swede\" < \"triangulate\" < \"wreath\".\nThought 11: Now let's sort this subpart [\"pleura\" ? \"popular\" ? \"primeval\" ? \"swede\"] by looking at their second letters. The second letter: \"pleura\": \"l\" (12). \"popular\": \"o\" (15). \"primeval\": \"r\" (18). \"swede\": \"w\" (23).\nThought 12: We now have: (12) \"pleura\" < (15) \"popular\" < (18) \"primeval\" < (23) \"swede\" for the subpart. Hence, we have \"aldehyde\" < \"billy\" < \"chill\" < \"corruption\" < \"dull\" < \"equal\" < \"heterocyclic\" < \"holman\" < \"impermissible\" < \"imperial\" < \"iodinate\" < \"jiggle\" < \"leftward\" < \"masque\" < \"pleura\" < \"popular\" < \"primeval\" < \"swede\" < \"swede\" < \"triangulate\" < \"wreath\".\nThought 13: I have now sorted all the words. The answer is aldehyde billy chill corruption dull equal heterocyclic holman impermissible imperial iodinate jiggle leftward masque pleura popular primeval swede swede triangulate wreath\nQ: Is there a mistake in this sequence? Write \"No\" if there are no mistakes, or the number N if there is a mistake in Thought N.\n", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:192", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that c is the first letter. Sort the following words with the new alphabet and separate them with comma: horehound, confidential, organizations, overture, industrialization, responsibilities, heterozygous, fiction, counterrevolutionaries, qualifications, ursa, faery", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:193", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that d and g are the first two letters. Sort the following words with the new alphabet and separate them with comma: winsome, disenfranchisement, euclidean, fight, responsibilities, scene, cloudy, modifications, generalizations, invite, hobby, stonehenge, surge, majestic, thrifty, classifications, citrus", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:word_sorting:198", "request": "Consider a new alphabet whose letters have the same order as the English alphabet, except that r and h are the first two letters. Sort the following words with the new alphabet and separate them with comma: rationalizations, borough, organizations, characterizations, hyperboloidal, telecommunications, organizations", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:000", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone supports a different NBA team: Bulls, Suns, Knicks, Warriors, Cavaliers, Lakers, Hawks.\nEveryone has a different favorite soft drink: 7up, Coke, Gatorade, Canada Dry, Fanta, Pepsi, Mountain Dew.\nEveryone is a different nationality: Mexican, Swede, Brit, Turkish, Chinese, Portuguese, Malaysian.\nEveryone drives a different motorbike: Honda, Harley-Davidson, Benelli, Suzuki, Yamaha, Buell, Bajaj.\nEveryone likes a different favorite animal: ducks, geckoes, oscars, pigs, doves, wolverines, catfish.\nEveryone has a different name: Charlie, Ahmed, Mohan, Randy, Katherine, Rafael, Nour.\nEveryone smokes a different cigarette: Salem, Pall Mall, Dunhill, Blue Master, Marlboro, Camel, Newport.\nEveryone owns a different handbag brand: Balenciaga, Coach, Tumi, Tory Burch, Dolce and Gabbana, Polo Ralph Lauren, Michael Kors.\nEveryone plays a different sport: basketball, table tennis, tennis, cricket, baseball, ice hockey, volleyball.\nEveryone supports a different NFL team: Seattle Seahawks, Tennessee Titans, Miami Dolphins, Denver Broncos, Detroit Lions, Pittsburgh Steelers, Cincinnati Bengals.\nEveryone plays a different musical instrument: guitar, piano, oboe, flute, cello, saxophone, violin.\nEveryone likes a different physical activity: snorkeling, bungee jumping, biking, paragliding, base jumping, skiing, running.\nEveryone likes a different type of gemstone: Moonstones, Ambers, Dolomites, Obsidians, Jade, Topaz, Diamonds.\nEveryone drinks a different drink: beer, water, hot chocolate, orange juice, lemonade, iced coffee, coffee.\nEveryone lives in a different colored house: indigo, pink, beige, turquoise, orange, red, white.\nEveryone likes a different food: noodles, pizza, kebabs, sandwiches, curry, soups, pasta.\nEveryone likes a different type of flower: roses, peonies, dahlias, lilies, marigolds, tulips, daisies.\nEveryone reads a different genre of books: fantasy, humor, romance, short story, spiritual, mystery, history.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who reads fantasy books is the basketball player.\nClue 2: The person who likes curry is the person who likes snorkeling.\nClue 3: The person who supports the Hawks is next to the person who likes Diamonds.\nClue 4: The person who drives the Harley-Davidson is next to the basketball player.\nClue 5: The person who owns a Balenciaga is somewhere in between the person who reads humor books and the person who reads fantasy books in that order.\nClue 6: The person who reads romance books is immediately to the left of the person who likes pasta.\nClue 7: The person who likes running is the person who reads humor books.\nClue 8: The person who owns a Polo Ralph Lauren is immediately to the left of the person who likes catfish.\nClue 9: The person who likes running is next to the person who likes ducks.\nClue 10: The person who lives in the turquoise house is the person who supports the Warriors.\nClue 11: The person who likes pasta is immediately to the left of the person who likes catfish.\nClue 12: The person who supports the Hawks is at one of the ends.\nClue 13: The person who likes oscars is somewhere in between the person who likes biking and the person who drives the Harley-Davidson in that order.\nClue 14: The person who smokes Camel is Mohan.\nClue 15: The person who likes Dolomites is the person who supports the Hawks.\nClue 16: The person who reads history books is the person who drinks lemonade.\nClue 17: Katherine is the person who smokes Marlboro.\nClue 18: The person who likes kebabs is somewhere to the left of the basketball player.\nClue 19: The Brit is somewhere in between Nour and the person who smokes Camel in that order.\nClue 20: The person who likes Mountain Dew is not the person who likes marigolds.\nClue 21: The person who smokes Marlboro is next to the person who lives in the indigo house.\nClue 22: The person who supports the Tennessee Titans is the person who drives the Suzuki.\nClue 23: The person who likes Jade is somewhere to the left of Charlie.\nClue 24: The basketball player is the person who likes skiing.\nClue 25: The person who smokes Newport is immediately to the left of the person who supports the Bulls.\nClue 26: The person who smokes Marlboro is immediately to the left of the person who supports the Suns.\nClue 27: The person who likes Pepsi is next to the table tennis player.\nClue 28: The person who likes pizza is at one of the ends.\nClue 29: The person who likes doves is next to the person who likes geckoes.\nClue 30: The person who supports the Miami Dolphins is not the person who owns a Coach.\nClue 31: The Portuguese is next to Rafael.\nClue 32: The cricket player is somewhere in between the person who reads mystery books and the person who likes skiing in that order.\nClue 33: The person who drives the Suzuki is not the person who owns a Tumi.\nClue 34: The person who likes catfish is somewhere in between the person who supports the Detroit Lions and the person who likes Gatorade in that order.\nClue 35: The oboe player is next to the person who lives in the indigo house.\nClue 36: The person who likes bungee jumping is the person who reads romance books.\nClue 37: Randy is somewhere to the left of the person who supports the Lakers.\nClue 38: The person who drives the Honda is immediately to the left of the person who reads spiritual books.\nClue 39: The person who likes pizza is not the person who likes snorkeling.\nClue 40: The person who drives the Buell is not the person who owns a Polo Ralph Lauren.\nClue 41: The person who reads fantasy books is at one of the ends.\nClue 42: The person who likes geckoes is somewhere in between the person who owns a Michael Kors and the person who drives the Buell in that order.\nClue 43: The person who likes Topaz is the Brit.\nClue 44: The person who drinks hot chocolate is somewhere in between the table tennis player and the person who likes marigolds in that order.\nClue 45: The person who supports the Tennessee Titans is at one of the ends.\nClue 46: The person who likes biking is not the person who likes Gatorade.\nClue 47: The person who owns a Coach is somewhere in between the person who likes pizza and the person who likes 7up in that order.\nClue 48: The person who likes Fanta is somewhere in between the person who drinks water and the tennis player in that order.\nClue 49: The Malaysian is immediately to the left of the person who supports the Knicks.\nClue 50: The baseball player is immediately to the left of the person who likes pasta.\nClue 51: The person who reads humor books is the person who supports the Miami Dolphins.\nClue 52: The person who drinks coffee is not the person who reads fantasy books.\nClue 53: The person who drives the Buell is next to the ice hockey player.\nClue 54: Nour is the person who likes Obsidians.\nClue 55: The person who drinks orange juice is the basketball player.\nClue 56: The person who likes pigs is immediately to the left of the person who drives the Yamaha.\nClue 57: The person who likes snorkeling is somewhere in between the cricket player and the person who likes daisies in that order.\nClue 58: The person who owns a Polo Ralph Lauren is the person who likes pigs.\nClue 59: The person who likes running is next to the person who likes Gatorade.\nClue 60: The person who likes running is next to the ice hockey player.\nClue 61: The person who drives the Bajaj is immediately to the left of the person who reads humor books.\nClue 62: The person who drinks lemonade is not the person who likes Pepsi.\nClue 63: Nour is the person who lives in the orange house.\nClue 64: The person who smokes Dunhill is somewhere to the left of the Brit.\nClue 65: The person who drives the Yamaha is the person who reads mystery books.\nClue 66: The person who supports the Seattle Seahawks is somewhere in between the person who reads short story books and the person who owns a Tumi in that order.\nClue 67: The person who likes Fanta is immediately to the left of the person who reads history books.\nClue 68: The person who likes bungee jumping is not the person who owns a Tumi.\nClue 69: Charlie is next to the Mexican.\nClue 70: The person who likes 7up is not the person who likes catfish.\nClue 71: The person who likes wolverines is at one of the ends.\nClue 72: The person who likes pigs is immediately to the left of the person who likes peonies.\nClue 73: The person who reads romance books is next to the person who drives the Benelli.\nClue 74: The basketball player is at one of the ends.\nClue 75: Mohan is next to the person who lives in the white house.\nClue 76: Mohan is at one of the ends.\nClue 77: The guitar player is somewhere to the left of the violin player.\nClue 78: The person who supports the Cavaliers is somewhere in between the Brit and the person who smokes Pall Mall in that order.\nClue 79: The person who supports the Pittsburgh Steelers is immediately to the left of the person who likes 7up.\nClue 80: The person who likes wolverines is somewhere to the left of the person who drives the Benelli.\nClue 81: The baseball player is at one of the ends.\nClue 82: The saxophone player is the Portuguese.\nClue 83: The person who owns a Tory Burch is the person who drinks coffee.\nClue 84: The person who owns a Dolce and Gabbana is somewhere in between the person who likes biking and the person who likes Coke in that order.\nClue 85: The person who likes marigolds is next to the person who likes 7up.\nClue 86: The person who owns a Tory Burch is at one of the ends.\nClue 87: The person who drives the Suzuki is the person who owns a Tory Burch.\nClue 88: The person who likes wolverines is at one of the ends.\nClue 89: The person who lives in the red house is immediately to the left of the person who smokes Salem.\nClue 90: The cello player is immediately to the left of the person who likes Obsidians.\nClue 91: The person who supports the Seattle Seahawks is next to the person who drives the Benelli.\nClue 92: The person who likes dahlias is somewhere in between the person who likes pigs and the ice hockey player in that order.\nClue 93: The person who owns a Balenciaga is the person who likes geckoes.\nClue 94: The person who likes paragliding is not the person who likes Coke.\nClue 95: The person who likes marigolds is not the person who likes paragliding.\nClue 96: The person who drinks iced coffee is not the person who supports the Miami Dolphins.\nClue 97: The person who supports the Cincinnati Bengals is at one of the ends.\nClue 98: Ahmed is immediately to the left of the person who smokes Pall Mall.\nClue 99: The person who likes Coke is somewhere in between the person who reads mystery books and the person who owns a Tumi in that order.\nClue 100: The person who likes catfish is not the person who likes 7up.\nClue 101: The person who likes Canada Dry is the person who owns a Tumi.\nClue 102: The person who lives in the white house is somewhere in between the flute player and the Swede in that order.\nClue 103: The person who reads short story books is not the person who owns a Balenciaga.\nClue 104: The person who drinks iced coffee is somewhere in between the cricket player and the person who drives the Buell in that order.\nClue 105: The person who supports the Tennessee Titans is somewhere to the left of the person who reads short story books.\nClue 106: The person who lives in the white house is immediately to the left of the person who lives in the turquoise house.\nClue 107: The guitar player is Charlie.\nClue 108: The person who likes Diamonds is next to the person who smokes Marlboro.\nClue 109: The person who smokes Camel is the person who likes Ambers.\nClue 110: The person who reads humor books is immediately to the left of the person who likes snorkeling.\nClue 111: The person who likes skiing is not the person who supports the Denver Broncos.\nClue 112: The person who drinks lemonade is immediately to the left of the person who likes kebabs.\nClue 113: The person who reads spiritual books is not the person who likes skiing.\nClue 114: The baseball player is next to the person who likes pasta.\nClue 115: The person who drives the Bajaj is not the person who supports the Denver Broncos.\nClue 116: The person who likes oscars is somewhere in between the person who likes paragliding and the person who likes geckoes in that order.\nClue 117: The person who drives the Harley-Davidson is somewhere in between the person who likes 7up and the person who likes noodles in that order.\nClue 118: The piano player is immediately to the left of the person who supports the Bulls.\nClue 119: The person who owns a Dolce and Gabbana is not the person who likes 7up.\nClue 120: The person who likes 7up is not the person who supports the Cincinnati Bengals.\nClue 121: The person who likes kebabs is next to the person who likes Gatorade.\nClue 122: The person who likes oscars is somewhere in between the person who drives the Bajaj and the person who owns a Balenciaga in that order.\nClue 123: The person who likes Coke is the person who likes marigolds.\nClue 124: The person who likes ducks is somewhere in between the person who owns a Polo Ralph Lauren and the person who supports the Miami Dolphins in that order.\nClue 125: The person who likes sandwiches is immediately to the left of the person who drinks hot chocolate.\nClue 126: The person who likes pigs is not the basketball player.\nClue 127: The person who drinks beer is not the person who likes sandwiches.\nClue 128: The tennis player is the person who owns a Dolce and Gabbana.\nClue 129: The person who drives the Buell is not the person who likes Fanta.\nClue 130: The Turkish is the oboe player.\nClue 131: The baseball player is at one of the ends.\nClue 132: The person who supports the Lakers is the person who lives in the pink house.\nClue 133: The person who lives in the white house is Charlie.\nClue 134: The person who supports the Miami Dolphins is somewhere in between the person who owns a Dolce and Gabbana and the person who likes snorkeling in that order.\nClue 135: The person who likes roses is next to the person who likes biking.\nClue 136: The person who drives the Buell is at one of the ends.\nClue 137: The person who likes Coke is the person who likes geckoes.\n\nQuestion: What position is the Chinese at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:001", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone drinks a different drink: orange juice, iced coffee, water, hot chocolate, beer, iced tea, lemonade.\nEveryone smokes a different cigarette: Marlboro, Pall Mall, Winston, Blends, Newport, Salem, Dunhill.\nEveryone is a different nationality: Bulgarian, Irish, Chilean, Swede, Serbian, American, Malaysian.\nEveryone likes a different food: kebabs, soups, fried rice, pizza, sandwiches, tacos, pasta.\nEveryone owns a different handbag brand: Tory Burch, Gucci, Tumi, Dolce and Gabbana, Versace, Michael Kors, Polo Ralph Lauren.\nEveryone drives a different car: McLaren, Mercedes, Honda, Hyundai, Audi, Toyota, Lexus.\nEveryone lives in a different colored house: blue, red, magenta, turquoise, black, silver, cyan.\nEveryone likes a different favorite animal: butterflies, zebras, spiders, hares, rabbits, carp, cats.\nEveryone likes a different type of gemstone: Aquamarines, Jade, Obsidians, Diamonds, Emeralds, Ambers, Moonstones.\nEveryone reads a different genre of books: fantasy, humor, science fiction, short story, history, mystery, spiritual.\nEveryone supports a different NBA team: Bulls, Mavericks, Warriors, Bucks, Lakers, Knicks, Cavaliers.\nEveryone likes a different type of flower: carnations, tulips, daffodils, orchids, dahlias, marigolds, roses.\nEveryone has a different profession: artist, writer, spy, dancer, programmer, doctor, chef.\nEveryone drives a different motorbike: Benelli, Honda, Piaggio, Kawasaki, Bajaj, Ducati, Yamaha.\nEveryone likes a different physical activity: running, bungee jumping, scuba diving, swimming, snorkeling, skiing, paragliding.\nEveryone plays a different sport: tennis, volleyball, baseball, squash, basketball, table tennis, badminton.\nEveryone supports a different NFL team: Atlanta Falcons, Detroit Lions, Seattle Seahawks, Buffalo Bills, San Francisco 49ers, Tennessee Titans, Kansas City Chiefs.\nEveryone has a different name: Mallika, Mandy, Jones, Tao, Margaret, Wang, Charlie.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Dunhill is next to the person who reads history books.\nClue 2: The Chilean is Mallika.\nClue 3: The person who owns a Polo Ralph Lauren is the person who likes snorkeling.\nClue 4: The person who supports the Kansas City Chiefs is immediately to the left of the person who likes pasta.\nClue 5: The person who reads fantasy books is not Mandy.\nClue 6: The person who likes pasta is immediately to the left of the person who owns a Versace.\nClue 7: The person who likes marigolds is not the person who drives the McLaren.\nClue 8: The Swede is somewhere to the left of the spy.\nClue 9: The person who likes roses is at one of the ends.\nClue 10: The person who smokes Dunhill is at one of the ends.\nClue 11: The person who smokes Salem is Mallika.\nClue 12: The tennis player is next to the person who likes cats.\nClue 13: The person who lives in the turquoise house is immediately to the left of the person who drives the Piaggio.\nClue 14: The person who owns a Versace is the person who likes skiing.\nClue 15: The person who likes scuba diving is the person at the 1st position.\nClue 16: The person who likes swimming is somewhere to the left of the person who likes tacos.\nClue 17: The person who reads short story books is somewhere in between Wang and the person who smokes Pall Mall in that order.\nClue 18: The person who drinks water is next to the person who smokes Blends.\nClue 19: The person who owns a Michael Kors is next to the person who owns a Polo Ralph Lauren.\nClue 20: The squash player is immediately to the left of the person who supports the Kansas City Chiefs.\nClue 21: The person who drives the Piaggio is not Charlie.\nClue 22: The person who reads history books is immediately to the left of the person who likes orchids.\nClue 23: The person who reads short story books is the Chilean.\nClue 24: The person who supports the Kansas City Chiefs is immediately to the left of the baseball player.\nClue 25: Charlie is the person who smokes Blends.\nClue 26: The person who likes rabbits is at one of the ends.\nClue 27: The person who supports the Seattle Seahawks is immediately to the left of the volleyball player.\nClue 28: The person who drinks water is at one of the ends.\nClue 29: The table tennis player is immediately to the left of the person who likes Ambers.\nClue 30: The person who reads fantasy books is the person who drives the Toyota.\nClue 31: The person who lives in the blue house is not the person who reads short story books.\nClue 32: The person who drinks water is at one of the ends.\nClue 33: The person who drives the Hyundai is at one of the ends.\nClue 34: The person who lives in the black house is immediately to the left of the person who supports the Knicks.\nClue 35: The person who drinks iced tea is somewhere in between Jones and the person who drinks water in that order.\nClue 36: Margaret is not the person who smokes Marlboro.\nClue 37: The baseball player is somewhere in between the person who owns a Dolce and Gabbana and the person who likes tacos in that order.\nClue 38: Mandy is at one of the ends.\nClue 39: The person who owns a Dolce and Gabbana is immediately to the left of the person who likes butterflies.\nClue 40: The person who drives the Mercedes is not the dancer.\nClue 41: The person who reads spiritual books is next to the person who drinks orange juice.\nClue 42: The person who lives in the cyan house is the person who drives the McLaren.\nClue 43: The person who owns a Versace is the person who likes cats.\nClue 44: The person who smokes Pall Mall is not the person who drives the Honda.\nClue 45: The person who lives in the black house is Tao.\nClue 46: The person who lives in the blue house is at one of the ends.\nClue 47: The person who likes spiders is the badminton player.\nClue 48: The person who supports the Warriors is at one of the ends.\nClue 49: The person who supports the San Francisco 49ers is next to the person who likes Moonstones.\nClue 50: The person who lives in the turquoise house is the Chilean.\nClue 51: The tennis player is next to the person who supports the Detroit Lions.\nClue 52: The programmer is the person who supports the Bucks.\nClue 53: The person who drives the McLaren is somewhere to the left of the person who likes roses.\nClue 54: The person who drinks hot chocolate is somewhere in between the person who supports the Bucks and the person who reads science fiction books in that order.\nClue 55: The person who drinks hot chocolate is the person who lives in the magenta house.\nClue 56: The person who drives the Mercedes is immediately to the left of the person who reads fantasy books.\nClue 57: The person who drives the Benelli is not the person who likes orchids.\nClue 58: The person who reads science fiction books is somewhere in between the person who smokes Winston and the person who drives the Audi in that order.\nClue 59: The person who drives the Kawasaki is at one of the ends.\nClue 60: The artist is the person who supports the Knicks.\nClue 61: The person who likes Emeralds is the person who supports the Atlanta Falcons.\nClue 62: The Irish is not the person who drives the Ducati.\nClue 63: The person who owns a Polo Ralph Lauren is next to the person who likes sandwiches.\nClue 64: The Swede is at one of the ends.\nClue 65: The person who likes dahlias is somewhere to the left of the American.\nClue 66: The person who drives the Ducati is somewhere in between the person who reads history books and the person who drives the Mercedes in that order.\nClue 67: The person who drives the Lexus is next to the person who likes tulips.\nClue 68: The person who drives the Hyundai is at one of the ends.\nClue 69: The person who drives the McLaren is next to Margaret.\nClue 70: The person who smokes Newport is somewhere in between the person who supports the Warriors and the artist in that order.\nClue 71: The person who likes daffodils is next to the person who drinks orange juice.\nClue 72: The person who owns a Polo Ralph Lauren is at one of the ends.\nClue 73: The person who likes orchids is somewhere in between the person who reads humor books and the person who smokes Winston in that order.\nClue 74: The Chilean is the person who drinks orange juice.\nClue 75: The person who lives in the black house is not the person who likes marigolds.\nClue 76: The person who likes carnations is somewhere in between the person who reads fantasy books and the chef in that order.\nClue 77: The person who drives the Hyundai is somewhere to the left of the person who likes roses.\nClue 78: The person who drives the Hyundai is immediately to the left of the person who reads history books.\nClue 79: Charlie is the person who drives the Benelli.\nClue 80: The person who owns a Michael Kors is next to the person who owns a Tumi.\nClue 81: The volleyball player is immediately to the left of the person who likes zebras.\nClue 82: The person who likes Diamonds is the person who owns a Tory Burch.\nClue 83: The person who drives the Piaggio is somewhere in between Wang and the writer in that order.\nClue 84: The writer is not the person who drinks iced coffee.\nClue 85: The person who drives the Lexus is not the person who reads spiritual books.\nClue 86: The person who supports the Lakers is the person who drives the McLaren.\nClue 87: The person who likes Jade is at one of the ends.\nClue 88: The person who supports the Mavericks is somewhere to the left of the person who drives the Piaggio.\nClue 89: The person who likes Ambers is the person who likes snorkeling.\nClue 90: Wang is next to the programmer.\nClue 91: The person who drinks iced tea is the writer.\nClue 92: The person who likes tulips is not the person who drives the Yamaha.\nClue 93: The person who supports the Cavaliers is the person who lives in the magenta house.\nClue 94: The person who reads science fiction books is not the person who likes dahlias.\nClue 95: The person who likes marigolds is somewhere in between the Serbian and Charlie in that order.\nClue 96: The person who likes dahlias is immediately to the left of Wang.\nClue 97: The doctor is the person who smokes Dunhill.\nClue 98: The person who likes dahlias is Tao.\nClue 99: The Chilean is somewhere in between the person who drinks lemonade and the person who reads mystery books in that order.\nClue 100: The person who smokes Salem is next to the person who smokes Marlboro.\nClue 101: The person who likes swimming is next to the person at the 7th position.\nClue 102: The person who drinks beer is Tao.\nClue 103: The person who smokes Dunhill is at one of the ends.\nClue 104: The person who likes hares is the tennis player.\nClue 105: The badminton player is the person who likes Ambers.\nClue 106: The Chilean is not the person who smokes Blends.\nClue 107: The person who smokes Winston is somewhere in between the spy and Charlie in that order.\nClue 108: The doctor is the person who drinks lemonade.\nClue 109: The person who drives the Honda is next to Tao.\nClue 110: The person who likes tulips is somewhere to the left of the person who drives the Toyota.\nClue 111: The person who likes paragliding is immediately to the left of the person who likes Emeralds.\nClue 112: The person who drives the McLaren is the person who likes carnations.\nClue 113: The person who likes daffodils is somewhere to the left of Margaret.\nClue 114: The person who likes soups is immediately to the left of the person who likes paragliding.\nClue 115: The person who likes swimming is somewhere in between the person who likes skiing and the person who supports the Buffalo Bills in that order.\nClue 116: The person who drives the Lexus is somewhere in between the person who likes tulips and the Serbian in that order.\nClue 117: The person who drives the Hyundai is the person who smokes Dunhill.\nClue 118: The person who drinks iced tea is the writer.\nClue 119: The person who likes running is the person who likes Obsidians.\nClue 120: The person who reads spiritual books is immediately to the left of Mallika.\nClue 121: The person who likes roses is next to the person who supports the Lakers.\nClue 122: The dancer is not the person who drives the Kawasaki.\nClue 123: The person who supports the Cavaliers is the person who likes daffodils.\nClue 124: The person who drives the Hyundai is not the person who drinks hot chocolate.\nClue 125: The person who likes pizza is at one of the ends.\nClue 126: The person who supports the Lakers is immediately to the left of the person who supports the Bulls.\nClue 127: The person who smokes Marlboro is somewhere in between the person who supports the Bucks and the Malaysian in that order.\nClue 128: The person at the 3rd position is next to the person who likes kebabs.\nClue 129: The person who drinks hot chocolate is not the person who drives the McLaren.\nClue 130: The person who smokes Salem is next to the dancer.\nClue 131: The person who smokes Blends is somewhere in between the spy and the person who reads mystery books in that order.\nClue 132: The person who drives the Audi is not Mallika.\nClue 133: The person who drives the Piaggio is not the person who lives in the black house.\nClue 134: The person who drives the Yamaha is the person who smokes Salem.\nClue 135: The person who likes pasta is the person who likes paragliding.\nClue 136: The person who owns a Dolce and Gabbana is at one of the ends.\nClue 137: The person who likes Obsidians is immediately to the left of the person who owns a Tory Burch.\nClue 138: The Swede is somewhere to the left of the person who supports the Mavericks.\nClue 139: The person who supports the Knicks is the artist.\nClue 140: The table tennis player is the person who supports the Detroit Lions.\n\nQuestion: What position is the person who likes bungee jumping at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:003", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different physical activity: swimming, biking, weight lifting, bungee jumping, base jumping, snorkeling, running.\nEveryone is a different nationality: Indian, Chinese, Iranian, Malaysian, Hungarian, German, Canadian.\nEveryone has a different profession: singer, engineer, architect, designer, spy, writer, teacher.\nEveryone drives a different car: Kia, McLaren, Honda, Audi, Tesla, Lexus, BMW.\nEveryone likes a different food: kebabs, pasta, sandwiches, curry, noodles, soups, tacos.\nEveryone has a different favorite soft drink: 7up, Mirinda, Canada Dry, Sprite, Fanta, Gatorade, Pepsi.\nEveryone plays a different musical instrument: piano, oboe, violin, harp, drums, harmonica, flute.\nEveryone likes a different type of flower: daffodils, tulips, marigolds, roses, dahlias, carnations, lilies.\nEveryone plays a different sport: soccer, cricket, baseball, table tennis, ice hockey, badminton, basketball.\nEveryone reads a different genre of books: humor, spiritual, history, science fiction, mystery, magical realism, romance.\nEveryone has a different name: Barbara, Bob, Randy, Doug, Michael, Tao, Drew.\nEveryone supports a different NBA team: Warriors, Bucks, Celtics, Knicks, Lakers, Suns, Cavaliers.\nEveryone likes a different fruit: apples, bananas, grapes, mangoes, blueberries, raspberries, blackberries.\nEveryone lives in a different colored house: white, magenta, silver, black, gold, cyan, turquoise.\nEveryone likes a different type of gemstone: Sapphires, Pearls, Moonstones, Opals, Obsidians, Jade, Gypsum.\nEveryone drives a different motorbike: Bajaj, Piaggio, Ducati, Harley-Davidson, Yamaha, Benelli, Buell.\nEveryone likes a different favorite animal: cougars, elk, cockroaches, camels, sharks, bats, woodpeckers.\nEveryone owns a different handbag brand: Balenciaga, Kate Spade, Tory Burch, Coach, Versace, Dolce and Gabbana, Polo Ralph Lauren.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Cavaliers is the person who eats raspberries.\nClue 2: The person who likes cockroaches is the drums player.\nClue 3: The Canadian is immediately to the left of the person who likes Obsidians.\nClue 4: The designer is at one of the ends.\nClue 5: The person who likes Jade is the person who likes Sprite.\nClue 6: Drew is the person who drives the Harley-Davidson.\nClue 7: The person who drives the Tesla is next to the drums player.\nClue 8: The person who eats blueberries is not the person who owns a Tory Burch.\nClue 9: The person who drives the McLaren is not the person who lives in the turquoise house.\nClue 10: The person who likes cougars is not the person who lives in the white house.\nClue 11: The person who owns a Versace is not the person who likes soups.\nClue 12: The person who likes sharks is somewhere in between the person who likes sandwiches and the person who drives the Kia in that order.\nClue 13: Drew is next to Bob.\nClue 14: The person who drives the Yamaha is the ice hockey player.\nClue 15: The person who lives in the gold house is immediately to the left of the person who supports the Celtics.\nClue 16: The engineer is the person who likes bungee jumping.\nClue 17: The engineer is the person who lives in the silver house.\nClue 18: The person who reads romance books is at one of the ends.\nClue 19: The harp player is next to the person who eats mangoes.\nClue 20: The person who likes dahlias is not the person who eats blueberries.\nClue 21: The person who drives the Audi is immediately to the left of the drums player.\nClue 22: The person who eats grapes is somewhere in between the person who drives the McLaren and the person who likes noodles in that order.\nClue 23: The flute player is somewhere to the left of the person who likes noodles.\nClue 24: The cricket player is the person who likes Canada Dry.\nClue 25: The person who likes tulips is not the person who owns a Dolce and Gabbana.\nClue 26: The person who likes Gatorade is the person who drives the Ducati.\nClue 27: The person who likes roses is immediately to the left of the person who owns a Kate Spade.\nClue 28: The person who reads romance books is the person who likes Pepsi.\nClue 29: Barbara is the person who drives the Ducati.\nClue 30: The person who drives the BMW is somewhere to the left of the person who likes bats.\nClue 31: The person who owns a Coach is the person who likes curry.\nClue 32: The person who supports the Knicks is somewhere to the left of the person who likes tacos.\nClue 33: The person who likes elk is immediately to the left of the person who owns a Coach.\nClue 34: The person who lives in the white house is immediately to the left of the person who supports the Cavaliers.\nClue 35: The person who likes 7up is Doug.\nClue 36: The person who reads romance books is next to the person who reads humor books.\nClue 37: The teacher is immediately to the left of the person who likes base jumping.\nClue 38: The person who supports the Lakers is not the person who likes curry.\nClue 39: The person who lives in the white house is not the teacher.\nClue 40: The person who likes marigolds is immediately to the left of the person who likes kebabs.\nClue 41: Michael is somewhere in between the ice hockey player and the person who reads mystery books in that order.\nClue 42: The person who drives the Kia is the person who likes dahlias.\nClue 43: The person at the 6th position is the Iranian.\nClue 44: The person who likes camels is somewhere to the left of the person who likes noodles.\nClue 45: The person who likes sharks is not the person who likes weight lifting.\nClue 46: The Indian is the badminton player.\nClue 47: The person who supports the Celtics is next to the person who likes running.\nClue 48: The person who likes bats is the person who supports the Cavaliers.\nClue 49: The person who owns a Dolce and Gabbana is the person who likes kebabs.\nClue 50: Doug is immediately to the left of the person who reads magical realism books.\nClue 51: The person who likes elk is the person who likes pasta.\nClue 52: The person who owns a Versace is at one of the ends.\nClue 53: The badminton player is the person who reads history books.\nClue 54: The designer is at one of the ends.\nClue 55: The Chinese is at one of the ends.\nClue 56: The person who eats mangoes is next to the person who likes bungee jumping.\nClue 57: The person who likes biking is somewhere in between the person who drives the Audi and the person who eats raspberries in that order.\nClue 58: The violin player is not the person who likes weight lifting.\nClue 59: The person who reads humor books is the person who likes Fanta.\nClue 60: The badminton player is immediately to the left of the Malaysian.\nClue 61: The person who lives in the cyan house is at one of the ends.\nClue 62: The person who lives in the silver house is somewhere to the left of the person who likes swimming.\nClue 63: The table tennis player is the person who likes Opals.\nClue 64: The person who likes camels is next to the writer.\nClue 65: The person who supports the Lakers is the person who likes base jumping.\nClue 66: The violin player is somewhere in between the person who supports the Knicks and the person who likes sharks in that order.\nClue 67: The person who likes roses is not the person who eats mangoes.\nClue 68: The person who lives in the silver house is immediately to the left of the person who lives in the turquoise house.\nClue 69: The person at the 3rd position is next to the person who drives the Ducati.\nClue 70: The person who likes Opals is immediately to the left of the person who reads spiritual books.\nClue 71: The person who eats apples is somewhere to the left of the person who likes tulips.\nClue 72: The person who drives the Kia is at one of the ends.\nClue 73: The person who drives the Lexus is not the person who likes woodpeckers.\nClue 74: The person who drives the McLaren is not the person who likes kebabs.\nClue 75: The person who drives the Ducati is the table tennis player.\nClue 76: The violin player is the person who supports the Celtics.\nClue 77: The person who eats grapes is immediately to the left of the person who drives the Kia.\nClue 78: The person who lives in the black house is the person who likes bats.\nClue 79: The person who supports the Suns is at one of the ends.\nClue 80: The person who likes snorkeling is somewhere to the left of the person who supports the Lakers.\nClue 81: The person who drives the Audi is not the person who likes roses.\nClue 82: The person who supports the Knicks is not the designer.\nClue 83: The teacher is not the person who owns a Versace.\nClue 84: The person who drives the McLaren is the violin player.\nClue 85: The person who eats blueberries is somewhere to the left of the oboe player.\nClue 86: The person who likes swimming is immediately to the left of the person who likes woodpeckers.\nClue 87: The person who lives in the silver house is somewhere in between the designer and the person who drives the BMW in that order.\nClue 88: The person who likes soups is immediately to the left of the person who lives in the silver house.\nClue 89: The person who likes lilies is the spy.\nClue 90: The person who lives in the gold house is somewhere in between the person who likes tulips and the person who eats bananas in that order.\nClue 91: Michael is immediately to the left of the basketball player.\nClue 92: The person who likes bungee jumping is somewhere to the left of the person who drives the McLaren.\nClue 93: The person who lives in the cyan house is not the harp player.\nClue 94: The person who eats raspberries is not the writer.\nClue 95: The person who likes Gatorade is immediately to the left of the person who likes 7up.\nClue 96: The person who likes tulips is somewhere in between the harmonica player and the person who likes woodpeckers in that order.\nClue 97: The person who lives in the cyan house is at one of the ends.\nClue 98: The person who drives the Audi is next to the person who likes kebabs.\nClue 99: The person who likes carnations is somewhere in between the person who likes curry and the person who owns a Versace in that order.\nClue 100: The person who likes bats is not the person who likes sandwiches.\nClue 101: The person who supports the Knicks is not the person who likes bungee jumping.\nClue 102: The person who lives in the cyan house is at one of the ends.\nClue 103: The person who likes running is somewhere to the left of the person who likes weight lifting.\nClue 104: The person at the 7th position is Tao.\nClue 105: The person who lives in the magenta house is the violin player.\nClue 106: The person who drives the Honda is next to the person who likes elk.\nClue 107: The person who likes camels is the person who drives the McLaren.\nClue 108: The person who likes Canada Dry is somewhere to the left of the Hungarian.\nClue 109: The person who likes base jumping is not the engineer.\nClue 110: The writer is the person who likes carnations.\nClue 111: The soccer player is the Canadian.\nClue 112: The harmonica player is at one of the ends.\nClue 113: The person who likes Moonstones is at one of the ends.\nClue 114: The harmonica player is at one of the ends.\nClue 115: The person who likes cockroaches is the person who eats apples.\nClue 116: The spy is immediately to the left of the person who drives the McLaren.\nClue 117: The person who likes Gatorade is next to the person who likes Pearls.\nClue 118: The person who eats mangoes is somewhere in between the engineer and the person who eats blueberries in that order.\nClue 119: Randy is at one of the ends.\nClue 120: The person who likes Moonstones is immediately to the left of the person who drives the Bajaj.\nClue 121: The cricket player is immediately to the left of the person who drives the Benelli.\nClue 122: The person who eats blackberries is somewhere to the left of the singer.\nClue 123: The designer is at one of the ends.\nClue 124: The person who drives the Audi is not the flute player.\nClue 125: The person who likes curry is somewhere to the left of the person who likes weight lifting.\nClue 126: The person who likes kebabs is not the person who likes lilies.\nClue 127: The harmonica player is at one of the ends.\nClue 128: The person who lives in the cyan house is immediately to the left of the person who drives the Lexus.\nClue 129: The person who likes woodpeckers is next to the person who eats bananas.\nClue 130: The person who supports the Celtics is the person who likes biking.\nClue 131: The person who likes soups is not the person who likes swimming.\nClue 132: The designer is not the person who likes lilies.\nClue 133: The person who likes noodles is the person who owns a Versace.\nClue 134: The person who drives the Piaggio is at one of the ends.\nClue 135: The person who lives in the silver house is immediately to the left of the person who supports the Bucks.\nClue 136: The person who likes Sprite is next to the person who likes Gypsum.\n\nQuestion: What position is the person who likes Pepsi at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:005", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone owns a different handbag brand: Gucci, Versace, Michael Kors, Polo Ralph Lauren, Coach, Dolce and Gabbana.\nEveryone drinks a different drink: beer, hot chocolate, milk, iced coffee, tea, orange juice.\nEveryone has a different name: Bob, Drew, Karan, Michelle, Michael, Wang.\nEveryone likes a different physical activity: running, bungee jumping, biking, base jumping, skiing, snorkeling.\nEveryone supports a different NBA team: Knicks, Cavaliers, Mavericks, Bulls, Suns, Celtics.\nEveryone likes a different type of flower: begonias, carnations, peonies, orchids, marigolds, lilies.\nEveryone plays a different musical instrument: drums, harp, oboe, violin, harmonica, saxophone.\nEveryone has a different profession: chef, programmer, teacher, architect, athlete, doctor.\nEveryone is a different nationality: Spanish, Iranian, Brit, Swede, Malaysian, Israeli.\nEveryone drives a different motorbike: Buell, Bajaj, Benelli, Piaggio, Yamaha, Harley-Davidson.\nEveryone has a different favorite soft drink: Limca, Sprite, 7up, Canada Dry, Fanta, Gatorade.\nEveryone smokes a different cigarette: Winston, Newport, Pall Mall, Marlboro, Blends, Camel.\nEveryone lives in a different colored house: silver, cyan, indigo, white, purple, red.\nEveryone supports a different NFL team: Baltimore Ravens, Carolina Panthers, Kansas City Chiefs, Seattle Seahawks, Los Angeles Rams, Detroit Lions.\nEveryone drives a different car: Toyota, Lexus, Mercedes, Audi, McLaren, BMW.\nEveryone likes a different favorite animal: oscars, kiwis, seahorses, blobfish, dragons, crabs.\nEveryone reads a different genre of books: romance, mystery, history, humor, science fiction, short story.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Blends is the person who drives the McLaren.\nClue 2: The person who owns a Versace is somewhere to the left of the person who likes orchids.\nClue 3: The person who likes Sprite is somewhere in between the person who owns a Gucci and the person who reads science fiction books in that order.\nClue 4: The person who lives in the purple house is next to the person who drives the Piaggio.\nClue 5: The person who likes seahorses is next to the person who lives in the white house.\nClue 6: The person who reads history books is somewhere to the left of the programmer.\nClue 7: Michael is somewhere in between the person who drives the Audi and the person who owns a Coach in that order.\nClue 8: Karan is not the person who smokes Pall Mall.\nClue 9: The person who likes 7up is immediately to the left of the harmonica player.\nClue 10: Bob is the person who drives the BMW.\nClue 11: The person who supports the Carolina Panthers is the person who drinks milk.\nClue 12: Karan is somewhere in between the teacher and the person who likes Limca in that order.\nClue 13: The person who smokes Newport is the person who drives the Audi.\nClue 14: Michael is somewhere in between the person who likes skiing and the chef in that order.\nClue 15: The drums player is next to the person who supports the Cavaliers.\nClue 16: The person who smokes Marlboro is somewhere to the left of the person who owns a Polo Ralph Lauren.\nClue 17: The person who supports the Suns is somewhere in between the person who owns a Dolce and Gabbana and the chef in that order.\nClue 18: The person who likes peonies is the person who supports the Celtics.\nClue 19: The person who drives the Mercedes is immediately to the left of the person who supports the Cavaliers.\nClue 20: The person who supports the Cavaliers is next to Michael.\nClue 21: The architect is somewhere in between the person who supports the Suns and the person who likes orchids in that order.\nClue 22: The harp player is the person who drives the Lexus.\nClue 23: The Swede is at one of the ends.\nClue 24: The person who supports the Celtics is the person who smokes Camel.\nClue 25: The person who owns a Dolce and Gabbana is not Bob.\nClue 26: The person who likes Gatorade is the person who reads humor books.\nClue 27: The person who reads short story books is somewhere to the left of the person who smokes Pall Mall.\nClue 28: The Spanish is immediately to the left of the person who likes kiwis.\nClue 29: The person who drives the BMW is not the person who supports the Cavaliers.\nClue 30: Bob is the person who reads romance books.\nClue 31: The person who reads history books is not the person who supports the Bulls.\nClue 32: The harmonica player is the person who supports the Suns.\nClue 33: Michael is the person who smokes Winston.\nClue 34: The person who drives the Mercedes is not the person who likes Gatorade.\nClue 35: The person who likes carnations is not the harmonica player.\nClue 36: The person who likes begonias is the person who smokes Winston.\nClue 37: The person who lives in the indigo house is immediately to the left of the person who drinks orange juice.\nClue 38: Michael is not the teacher.\nClue 39: The person who likes begonias is next to the person who drives the Audi.\nClue 40: The person who drives the Benelli is the person who supports the Detroit Lions.\nClue 41: The person who likes bungee jumping is immediately to the left of the harmonica player.\nClue 42: The person who smokes Newport is immediately to the left of the person who drives the Mercedes.\nClue 43: The chef is at one of the ends.\nClue 44: The teacher is Drew.\nClue 45: The person who likes begonias is somewhere in between Wang and the oboe player in that order.\nClue 46: The person who reads history books is somewhere to the left of the person who owns a Michael Kors.\nClue 47: The person who drives the Lexus is the harp player.\nClue 48: The person who smokes Newport is the person who likes Gatorade.\nClue 49: The person who drives the Mercedes is somewhere in between the person who reads short story books and the oboe player in that order.\nClue 50: The saxophone player is immediately to the left of the person who likes 7up.\nClue 51: The architect is the harp player.\nClue 52: The person who likes marigolds is somewhere to the left of Bob.\nClue 53: The person who likes base jumping is not the person who supports the Cavaliers.\nClue 54: The person who drives the Lexus is next to the person who supports the Bulls.\nClue 55: Karan is next to the doctor.\nClue 56: The person who drives the Audi is the person who reads humor books.\nClue 57: The person who owns a Versace is at one of the ends.\nClue 58: The person who smokes Camel is the person who reads history books.\nClue 59: The person who smokes Newport is somewhere in between the person who supports the Celtics and Michael in that order.\nClue 60: The person who likes Gatorade is the person who smokes Newport.\nClue 61: The Swede is the person who likes seahorses.\nClue 62: The person who drives the Mercedes is somewhere in between Wang and the architect in that order.\nClue 63: The person who likes base jumping is the person who supports the Bulls.\nClue 64: The person who likes kiwis is next to the person who supports the Seattle Seahawks.\nClue 65: Drew is immediately to the left of the doctor.\nClue 66: The person who owns a Michael Kors is the person who supports the Mavericks.\nClue 67: The person who lives in the white house is the person who supports the Los Angeles Rams.\nClue 68: The Brit is the person who likes crabs.\nClue 69: The Spanish is the person who drives the Yamaha.\nClue 70: The person who drives the Mercedes is not the person who reads romance books.\nClue 71: The athlete is at one of the ends.\nClue 72: Drew is somewhere in between the person who likes carnations and the person who owns a Michael Kors in that order.\nClue 73: The person who smokes Blends is the person who likes bungee jumping.\nClue 74: The person who owns a Gucci is not the person who likes base jumping.\nClue 75: The person who owns a Versace is somewhere to the left of the person who likes marigolds.\nClue 76: Michael is the person who reads mystery books.\nClue 77: The person who drives the McLaren is not the person who likes Sprite.\nClue 78: The person who likes Canada Dry is at one of the ends.\nClue 79: The person who owns a Versace is somewhere to the left of the violin player.\nClue 80: The person who likes blobfish is immediately to the left of the person who lives in the red house.\nClue 81: The person who drinks orange juice is immediately to the left of the person who likes dragons.\nClue 82: The person who lives in the red house is the person who likes crabs.\nClue 83: The person who smokes Camel is Wang.\nClue 84: The Spanish is the person who drinks iced coffee.\nClue 85: The person who drives the Harley-Davidson is at one of the ends.\nClue 86: Bob is not the athlete.\nClue 87: The person who likes crabs is somewhere in between the person at the 2nd position and the person who drinks tea in that order.\nClue 88: The person who owns a Gucci is the harmonica player.\nClue 89: The Spanish is at one of the ends.\nClue 90: The person who likes marigolds is somewhere in between the person who likes begonias and the person who likes orchids in that order.\nClue 91: The person who supports the Baltimore Ravens is the Malaysian.\nClue 92: The person who reads history books is the person who likes Canada Dry.\nClue 93: The person who drinks hot chocolate is the person who lives in the silver house.\nClue 94: The person who likes Gatorade is next to the doctor.\nClue 95: The person who drives the McLaren is Michelle.\nClue 96: The person who likes bungee jumping is not the person who likes orchids.\nClue 97: The harp player is somewhere to the left of the person who owns a Polo Ralph Lauren.\nClue 98: The person who drinks hot chocolate is immediately to the left of the person who drives the Bajaj.\nClue 99: The person who drives the Mercedes is the person who likes begonias.\nClue 100: The person who likes skiing is next to the programmer.\nClue 101: The person who owns a Dolce and Gabbana is somewhere to the left of the person who likes base jumping.\nClue 102: The person who owns a Polo Ralph Lauren is the person who likes Limca.\nClue 103: The saxophone player is not the person who reads romance books.\nClue 104: Michael is not the person who likes snorkeling.\nClue 105: The saxophone player is at one of the ends.\nClue 106: The person who likes running is immediately to the left of the person who likes biking.\nClue 107: The person who smokes Marlboro is the person who owns a Coach.\nClue 108: The person who likes begonias is not the person who smokes Camel.\nClue 109: The person who lives in the silver house is the Israeli.\nClue 110: The person who likes running is not Bob.\nClue 111: The doctor is immediately to the left of the person who drives the Lexus.\nClue 112: The person who lives in the white house is immediately to the left of the person who lives in the cyan house.\nClue 113: The person who likes skiing is not the oboe player.\nClue 114: The person who supports the Baltimore Ravens is the person who lives in the indigo house.\nClue 115: The person who likes 7up is not the person who smokes Newport.\nClue 116: The person who likes Fanta is somewhere in between the person who smokes Winston and the person who owns a Polo Ralph Lauren in that order.\nClue 117: The person who likes biking is somewhere in between the person who likes lilies and the person who likes Limca in that order.\nClue 118: The person who drives the Lexus is somewhere in between the programmer and the person who likes orchids in that order.\nClue 119: The person who supports the Celtics is somewhere to the left of the person who likes begonias.\nClue 120: The person who drives the McLaren is next to the person who reads history books.\nClue 121: The harmonica player is next to the programmer.\nClue 122: The person who owns a Versace is not the person who likes Limca.\nClue 123: The person who likes biking is next to the person who likes Sprite.\nClue 124: The person who supports the Suns is not the person who drives the Mercedes.\nClue 125: The person who supports the Suns is somewhere in between the person who likes Canada Dry and the person who supports the Mavericks in that order.\n\nQuestion: What position is the person who drinks iced coffee at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:008", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone supports a different NBA team: Suns, Bulls, Bucks, Mavericks, Hawks, Cavaliers.\nEveryone is a different nationality: Chilean, Brit, Croatian, Pakistani, Italian, Nepali.\nEveryone likes a different physical activity: base jumping, skiing, scuba diving, paragliding, swimming, biking.\nEveryone drives a different car: Honda, BMW, Audi, Toyota, McLaren, Ford.\nEveryone supports a different NFL team: Dallas Cowboys, Carolina Panthers, Philadelphia Eagles, Arizona Cardinals, Buffalo Bills, Tennessee Titans.\nEveryone has a different profession: doctor, athlete, singer, chef, artist, actor.\nEveryone drinks a different drink: beer, milk, tea, hot chocolate, lemonade, orange juice.\nEveryone plays a different musical instrument: violin, drums, harp, flute, piano, oboe.\nEveryone has a different name: Noah, Charlie, Michelle, Mandy, Yair, Siva.\nEveryone has a different favorite hobby: skiing, juggling, photography, baking, wood carving, camping.\nEveryone smokes a different cigarette: Blue Master, Pall Mall, Dunhill, Winston, Marlboro, Davidoff.\nEveryone has a different favorite soft drink: Dr Pepper, Powerade, Coke, Mirinda, 7up, Limca.\nEveryone reads a different genre of books: history, fantasy, short story, mystery, magical realism, spiritual.\nEveryone likes a different favorite animal: blobfish, puffins, rabbits, frogs, koalas, sun bears.\nEveryone drives a different motorbike: Honda, Benelli, Yamaha, Bajaj, Harley-Davidson, Buell.\nEveryone owns a different handbag brand: Kate Spade, Dolce and Gabbana, Polo Ralph Lauren, Tory Burch, Balenciaga, Coach.\nEveryone likes a different food: soups, noodles, sandwiches, pasta, tacos, kebabs.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Buell is somewhere in between the person who drives the Benelli and the Brit in that order.\nClue 2: The person who drives the McLaren is somewhere in between the person who drives the Toyota and the person who likes tacos in that order.\nClue 3: The person who likes Mirinda is somewhere to the left of the person who smokes Pall Mall.\nClue 4: The actor is immediately to the left of the person who supports the Mavericks.\nClue 5: The person who reads short story books is the person who likes blobfish.\nClue 6: The Chilean is not the person who reads history books.\nClue 7: The person who likes Dr Pepper is somewhere to the left of the athlete.\nClue 8: The violin player is next to the person who drives the Toyota.\nClue 9: The person who likes Mirinda is immediately to the left of the person who smokes Pall Mall.\nClue 10: The person who owns a Dolce and Gabbana is the person who likes Mirinda.\nClue 11: The person who likes puffins is at one of the ends.\nClue 12: The person who likes frogs is immediately to the left of the person who smokes Dunhill.\nClue 13: The doctor is immediately to the left of the person who reads magical realism books.\nClue 14: The person who supports the Bulls is somewhere in between the person who supports the Hawks and the person who supports the Mavericks in that order.\nClue 15: The violin player is Noah.\nClue 16: The person who likes tacos is next to the oboe player.\nClue 17: The person who likes koalas is somewhere in between the person who owns a Polo Ralph Lauren and the person who supports the Cavaliers in that order.\nClue 18: The person who likes baking is at one of the ends.\nClue 19: The person who likes Coke is the person who likes blobfish.\nClue 20: The Chilean is somewhere to the left of the person who supports the Cavaliers.\nClue 21: The person who likes koalas is not the athlete.\nClue 22: The person who owns a Tory Burch is not the person who likes Mirinda.\nClue 23: The person who likes pasta is immediately to the left of the person who likes scuba diving.\nClue 24: The person who supports the Bucks is the person who supports the Arizona Cardinals.\nClue 25: The person who likes skiing is immediately to the left of the person who supports the Philadelphia Eagles.\nClue 26: The person who likes Dr Pepper is not the Nepali.\nClue 27: The person who supports the Arizona Cardinals is somewhere in between the person who supports the Mavericks and the person who smokes Winston in that order.\nClue 28: The person who supports the Dallas Cowboys is immediately to the left of the person who owns a Balenciaga.\nClue 29: The person who supports the Dallas Cowboys is at one of the ends.\nClue 30: Siva is the person who likes swimming.\nClue 31: The doctor is somewhere to the left of the person who smokes Pall Mall.\nClue 32: The person who reads magical realism books is immediately to the left of the person who likes Coke.\nClue 33: The person who drinks orange juice is at one of the ends.\nClue 34: The artist is somewhere in between the person who likes sun bears and the person who supports the Philadelphia Eagles in that order.\nClue 35: The person who reads short story books is not the person who supports the Philadelphia Eagles.\nClue 36: The person who drives the Buell is somewhere in between the actor and the person who smokes Winston in that order.\nClue 37: The person who likes puffins is at one of the ends.\nClue 38: The person who owns a Balenciaga is not the Chilean.\nClue 39: The person who likes frogs is at one of the ends.\nClue 40: The person at the 5th position is immediately to the left of Yair.\nClue 41: The Croatian is not the actor.\nClue 42: The actor is somewhere in between the person who drives the Bajaj and the person who likes sun bears in that order.\nClue 43: The person who smokes Dunhill is not the person who likes Mirinda.\nClue 44: The person who likes biking is immediately to the left of the person who drinks beer.\nClue 45: The harp player is Yair.\nClue 46: The person who owns a Tory Burch is not the person who drives the Buell.\nClue 47: The person who smokes Marlboro is somewhere to the left of the Chilean.\nClue 48: The person who drives the Honda is at one of the ends.\nClue 49: The person who drives the Harley-Davidson is somewhere in between the person who smokes Dunhill and the person who drives the Yamaha in that order.\nClue 50: The person who drives the Ford is the person who likes biking.\nClue 51: The person who likes sandwiches is immediately to the left of the person at the 4th position.\nClue 52: The person who drives the Honda is the person who drinks tea.\nClue 53: The person who likes frogs is next to the chef.\nClue 54: The person who smokes Marlboro is the person who owns a Tory Burch.\nClue 55: The Chilean is the person who likes camping.\nClue 56: The person who likes 7up is next to the person who drives the Bajaj.\nClue 57: The person who drives the McLaren is next to the person who likes soups.\nClue 58: The person who likes sun bears is the person who reads fantasy books.\nClue 59: The person who smokes Marlboro is somewhere to the left of the person who supports the Mavericks.\nClue 60: The Croatian is at one of the ends.\nClue 61: The person who likes 7up is at one of the ends.\nClue 62: The person who likes frogs is somewhere to the left of the person who drives the Yamaha.\nClue 63: The Italian is somewhere in between the person who reads fantasy books and the person who supports the Philadelphia Eagles in that order.\nClue 64: The Italian is next to the person who likes puffins.\nClue 65: The person who likes photography is somewhere to the left of the person who likes Powerade.\nClue 66: The person who supports the Dallas Cowboys is next to the person who reads magical realism books.\nClue 67: The person who smokes Dunhill is not the person who supports the Suns.\nClue 68: The Pakistani is not the person who smokes Marlboro.\nClue 69: The person who smokes Dunhill is somewhere in between the person who likes photography and the person who reads short story books in that order.\nClue 70: The person who drives the BMW is the person who drinks orange juice.\nClue 71: The person who smokes Dunhill is the chef.\nClue 72: The person who owns a Coach is at one of the ends.\nClue 73: The athlete is next to the person who likes skiing.\nClue 74: The person who smokes Dunhill is somewhere to the left of the Pakistani.\nClue 75: The person who supports the Bulls is not the person who likes Powerade.\nClue 76: The person who reads history books is at one of the ends.\nClue 77: The actor is somewhere to the left of the Italian.\nClue 78: The person who likes Mirinda is not the person who reads spiritual books.\nClue 79: The person who reads spiritual books is at one of the ends.\nClue 80: The person who reads spiritual books is not the Croatian.\nClue 81: The person who supports the Hawks is somewhere to the left of the person who supports the Arizona Cardinals.\nClue 82: The person who supports the Bulls is somewhere to the left of the person who smokes Davidoff.\nClue 83: The person who owns a Tory Burch is not the person who smokes Winston.\nClue 84: The artist is not the Nepali.\nClue 85: The actor is next to the person who drives the Bajaj.\nClue 86: The oboe player is next to the flute player.\nClue 87: The person who drives the Benelli is somewhere to the left of the person who likes puffins.\nClue 88: Mandy is somewhere in between the person who likes skiing and the person who drinks orange juice in that order.\nClue 89: The person who drives the Honda is at one of the ends.\nClue 90: The person who likes 7up is at one of the ends.\nClue 91: The person who supports the Buffalo Bills is somewhere to the left of the person who reads spiritual books.\nClue 92: The person who drives the Benelli is somewhere to the left of the person who likes baking.\nClue 93: The person who likes skiing is somewhere in between the person who likes rabbits and the Brit in that order.\nClue 94: The person who supports the Dallas Cowboys is immediately to the left of the person who likes juggling.\nClue 95: The person who likes paragliding is immediately to the left of the drums player.\nClue 96: The person who supports the Tennessee Titans is next to the person who likes blobfish.\nClue 97: The person who drives the McLaren is next to the person who likes scuba diving.\nClue 98: The person who likes swimming is next to the person who likes pasta.\nClue 99: The person who reads short story books is the person who likes Coke.\nClue 100: The person who supports the Carolina Panthers is next to the person who owns a Tory Burch.\nClue 101: The Italian is not the person who likes rabbits.\nClue 102: The person who supports the Dallas Cowboys is the person who likes 7up.\nClue 103: The person who drives the Yamaha is not the person who supports the Buffalo Bills.\nClue 104: The violin player is immediately to the left of Siva.\nClue 105: The person who smokes Pall Mall is the Italian.\nClue 106: The person who supports the Hawks is not the person who drives the Yamaha.\nClue 107: The person who drinks lemonade is somewhere in between Michelle and the person who drives the Toyota in that order.\nClue 108: The Italian is immediately to the left of the person who smokes Winston.\nClue 109: The person who likes Dr Pepper is somewhere in between the person who smokes Blue Master and the athlete in that order.\nClue 110: The doctor is the person who likes frogs.\nClue 111: The person who supports the Hawks is next to the person who drives the Bajaj.\nClue 112: The person who smokes Marlboro is at one of the ends.\nClue 113: The person who smokes Marlboro is immediately to the left of the Nepali.\nClue 114: The person who likes pasta is not the person who drinks lemonade.\nClue 115: Mandy is next to the person who drinks orange juice.\nClue 116: The person who owns a Balenciaga is somewhere in between the person who owns a Tory Burch and the person who supports the Mavericks in that order.\nClue 117: The person who supports the Tennessee Titans is somewhere in between the Chilean and the person who likes skiing in that order.\nClue 118: The chef is immediately to the left of the person who likes camping.\nClue 119: The person who likes puffins is at one of the ends.\nClue 120: The person who likes noodles is the person at the 1st position.\nClue 121: The flute player is the person who drinks hot chocolate.\nClue 122: The person who likes rabbits is somewhere to the left of the person who drives the Benelli.\nClue 123: The person who drives the Benelli is not the person who likes sun bears.\nClue 124: The person who reads mystery books is somewhere in between the person who drives the Harley-Davidson and the person who supports the Cavaliers in that order.\nClue 125: The person who drives the BMW is the person who likes scuba diving.\nClue 126: The chef is somewhere to the left of the person who likes camping.\nClue 127: The person who owns a Coach is next to the Italian.\nClue 128: The person who likes rabbits is somewhere in between the person who likes photography and the person who smokes Blue Master in that order.\n\nQuestion: What position is the piano player at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:010", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone drives a different car: Hyundai, Ferrari, Honda, Kia, Tesla.\nEveryone supports a different NFL team: Detroit Lions, Chicago Bears, Cincinnati Bengals, Arizona Cardinals, Green Bay Packers.\nEveryone supports a different NBA team: Hawks, Bucks, Suns, Bulls, Cavaliers.\nEveryone plays a different sport: tennis, baseball, badminton, ice hockey, soccer.\nEveryone likes a different type of flower: carnations, tulips, marigolds, peonies, begonias.\nEveryone likes a different food: pizza, burgers, tacos, sandwiches, noodles.\nEveryone has a different favorite soft drink: Mirinda, Mountain Dew, Gatorade, Powerade, Sprite.\nEveryone has a different favorite hobby: fishing, photography, drone flying, mixology, kite flying.\nEveryone likes a different favorite animal: hippopotamuses, sheep, eagles, salmon, amberjacks.\nEveryone smokes a different cigarette: Marlboro, Camel, Pall Mall, Davidoff, Blends.\nEveryone drinks a different drink: iced coffee, hot chocolate, tea, iced tea, beer.\nEveryone likes a different physical activity: hiking, snorkeling, scuba diving, swimming, skiing.\nEveryone has a different profession: singer, dancer, chef, programmer, spy.\nEveryone reads a different genre of books: mystery, romance, science fiction, spiritual, history.\nEveryone drives a different motorbike: Honda, Suzuki, Harley-Davidson, Kawasaki, Yamaha.\nEveryone has a different name: Margaret, Yair, Joseph, Rose, Randy.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes salmon is not the person who reads science fiction books.\nClue 2: The person who likes pizza is not the person who likes carnations.\nClue 3: The person who likes Powerade is at one of the ends.\nClue 4: Randy is immediately to the left of the person who drives the Hyundai.\nClue 5: The person who drives the Kawasaki is the person who smokes Marlboro.\nClue 6: The person who reads science fiction books is immediately to the left of the person who supports the Arizona Cardinals.\nClue 7: The person who supports the Detroit Lions is the person who reads mystery books.\nClue 8: The person who supports the Arizona Cardinals is somewhere in between the person who likes peonies and the person who likes hippopotamuses in that order.\nClue 9: The person who likes drone flying is somewhere in between Yair and Margaret in that order.\nClue 10: The person who likes Mirinda is somewhere in between the person who likes pizza and the person who reads romance books in that order.\nClue 11: The person who reads history books is somewhere to the left of the person who supports the Detroit Lions.\nClue 12: The dancer is next to the person who likes hippopotamuses.\nClue 13: The person who supports the Cincinnati Bengals is the person who likes amberjacks.\nClue 14: The person who likes burgers is not the person who supports the Chicago Bears.\nClue 15: The person who supports the Suns is not the person who reads science fiction books.\nClue 16: The person who likes scuba diving is somewhere in between the person who likes eagles and the person who likes Powerade in that order.\nClue 17: The dancer is somewhere to the left of the person who supports the Cavaliers.\nClue 18: The person who likes snorkeling is not the person who supports the Arizona Cardinals.\nClue 19: The person who likes mixology is somewhere to the left of the person at the 2nd position.\nClue 20: The person who likes Mirinda is immediately to the left of the person who supports the Detroit Lions.\nClue 21: The person who likes noodles is at one of the ends.\nClue 22: The person who supports the Suns is next to the person who reads mystery books.\nClue 23: The person who drives the Honda is somewhere in between Joseph and Yair in that order.\nClue 24: The person who drives the Ferrari is somewhere in between the person who drives the Hyundai and the person who drives the Tesla in that order.\nClue 25: The person who likes Sprite is somewhere in between the person who likes Mountain Dew and the person who likes salmon in that order.\nClue 26: The person who drives the Ferrari is somewhere in between Yair and the person who likes photography in that order.\nClue 27: The person who likes swimming is at one of the ends.\nClue 28: The person who likes Mountain Dew is at one of the ends.\nClue 29: The person who likes hippopotamuses is immediately to the left of the soccer player.\nClue 30: The person who supports the Arizona Cardinals is not the person who drinks tea.\nClue 31: The person who likes Powerade is not the person who likes hiking.\nClue 32: The person who supports the Chicago Bears is next to the person who reads spiritual books.\nClue 33: The person who smokes Camel is the person who drives the Honda.\nClue 34: The person who likes skiing is the person who drinks iced tea.\nClue 35: The person who reads history books is not the person who likes hippopotamuses.\nClue 36: The person who supports the Bulls is somewhere to the left of the person who drinks iced coffee.\nClue 37: The person who likes carnations is immediately to the left of the person who likes hiking.\nClue 38: The person who likes peonies is somewhere to the left of the singer.\nClue 39: The person who drives the Yamaha is immediately to the left of Randy.\nClue 40: The person who reads mystery books is not the person who supports the Green Bay Packers.\nClue 41: The person who likes begonias is next to the tennis player.\nClue 42: The person who drinks iced tea is not the person who likes Powerade.\nClue 43: The person who likes tacos is next to the person who supports the Chicago Bears.\nClue 44: The person who drinks iced tea is immediately to the left of the person who supports the Arizona Cardinals.\nClue 45: The person who reads science fiction books is next to the person who likes swimming.\nClue 46: The person who likes hiking is somewhere in between the person who likes Mirinda and the chef in that order.\nClue 47: The person who likes peonies is next to the person who supports the Arizona Cardinals.\nClue 48: The person who reads mystery books is not the person who likes salmon.\nClue 49: Rose is the person who drives the Suzuki.\nClue 50: The singer is the tennis player.\nClue 51: The person who likes pizza is somewhere to the left of the person who supports the Detroit Lions.\nClue 52: The person who drinks iced coffee is somewhere in between the person who likes carnations and the chef in that order.\nClue 53: The person who likes sandwiches is the person who reads mystery books.\nClue 54: The person who smokes Davidoff is somewhere in between the person who drives the Harley-Davidson and the person who likes photography in that order.\nClue 55: The person who drinks hot chocolate is somewhere to the left of the person who supports the Detroit Lions.\nClue 56: The person who reads spiritual books is immediately to the left of the person who drinks iced tea.\nClue 57: The spy is the person who likes tacos.\nClue 58: The person who likes tulips is at one of the ends.\nClue 59: The person who drinks hot chocolate is next to the person who likes Gatorade.\nClue 60: The person who likes Powerade is at one of the ends.\nClue 61: Joseph is somewhere to the left of the person at the 3rd position.\nClue 62: The person who likes peonies is not the person who supports the Cavaliers.\nClue 63: The person who smokes Pall Mall is next to the person who smokes Camel.\nClue 64: The person who likes begonias is the person who supports the Green Bay Packers.\nClue 65: The person who likes tacos is not the person who supports the Bucks.\nClue 66: The person who likes tulips is the badminton player.\nClue 67: The person who likes amberjacks is not the person who likes skiing.\nClue 68: The tennis player is the singer.\nClue 69: The person who likes carnations is not the person who likes amberjacks.\nClue 70: The person who likes tacos is not the tennis player.\nClue 71: The person who reads history books is the person who drinks hot chocolate.\nClue 72: The person who reads history books is somewhere to the left of the person who likes begonias.\nClue 73: The person who drinks tea is at one of the ends.\nClue 74: The person who supports the Chicago Bears is somewhere to the left of the person who likes sandwiches.\nClue 75: The baseball player is somewhere to the left of the person who likes salmon.\nClue 76: The person who supports the Hawks is not the chef.\nClue 77: The person who smokes Camel is the person who drives the Yamaha.\nClue 78: The person who smokes Marlboro is at one of the ends.\nClue 79: The person who likes tulips is at one of the ends.\nClue 80: The person who likes hiking is the person who likes hippopotamuses.\nClue 81: The person who likes marigolds is not the person who drinks beer.\nClue 82: The person who reads spiritual books is the person who drinks beer.\nClue 83: The badminton player is immediately to the left of the baseball player.\nClue 84: The person who smokes Davidoff is somewhere in between Yair and the person who drives the Tesla in that order.\nClue 85: The person who likes amberjacks is not the person who supports the Detroit Lions.\nClue 86: The person who likes swimming is at one of the ends.\nClue 87: The person who likes hiking is somewhere to the left of the person who likes snorkeling.\nClue 88: The person who likes drone flying is Rose.\nClue 89: The person who reads romance books is the person who likes Powerade.\nClue 90: The person who likes skiing is the person who likes eagles.\nClue 91: The person who drives the Honda is the person who likes mixology.\nClue 92: The person who likes burgers is immediately to the left of the person who likes sandwiches.\nClue 93: The person who reads mystery books is somewhere in between the ice hockey player and the person who drinks tea in that order.\nClue 94: The person who likes mixology is immediately to the left of the person who likes fishing.\nClue 95: The person who likes Powerade is not the person who likes sandwiches.\nClue 96: The person who reads romance books is the person who supports the Green Bay Packers.\nClue 97: The badminton player is next to the baseball player.\nClue 98: The person who drinks iced tea is the person who reads science fiction books.\nClue 99: The person who likes skiing is not the spy.\nClue 100: The person who likes swimming is immediately to the left of the baseball player.\nClue 101: The person who supports the Bulls is somewhere to the left of the person who drinks tea.\nClue 102: The person who likes skiing is not the person who supports the Green Bay Packers.\nClue 103: The chef is next to the person who likes sandwiches.\nClue 104: The person who likes begonias is the chef.\nClue 105: The person who likes hiking is next to the person who supports the Green Bay Packers.\nClue 106: The person who likes peonies is next to the person who likes swimming.\nClue 107: The person who likes begonias is not the person who drinks iced tea.\nClue 108: The person who likes tulips is immediately to the left of the person who likes eagles.\nClue 109: The programmer is immediately to the left of the person who likes salmon.\nClue 110: The person who likes begonias is next to the person who supports the Bucks.\nClue 111: The person who likes hippopotamuses is somewhere in between the person who supports the Arizona Cardinals and the person who supports the Green Bay Packers in that order.\nClue 112: The person who likes tulips is immediately to the left of the person who supports the Bulls.\nClue 113: The person who reads history books is the dancer.\nClue 114: The person who drinks iced coffee is not the person who likes sheep.\nClue 115: The person who supports the Hawks is at one of the ends.\nClue 116: The person who likes noodles is the person who supports the Green Bay Packers.\nClue 117: The person who likes sheep is at one of the ends.\nClue 118: The person who likes snorkeling is at one of the ends.\nClue 119: The person who likes skiing is immediately to the left of the person who drinks hot chocolate.\n\nQuestion: What position is the person who smokes Blends at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:012", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone supports a different NFL team: Pittsburgh Steelers, Miami Dolphins, Chicago Bears, Dallas Cowboys, Buffalo Bills, Arizona Cardinals, Atlanta Falcons.\nEveryone plays a different sport: tennis, baseball, soccer, ice hockey, table tennis, squash, volleyball.\nEveryone owns a different handbag brand: Dolce and Gabbana, Tumi, Michael Kors, Coach, Gucci, Polo Ralph Lauren, Versace.\nEveryone is a different nationality: Portuguese, Nepali, Brit, Turkish, Bulgarian, Russian, Croatian.\nEveryone likes a different type of flower: daffodils, daisies, dahlias, roses, begonias, peonies, marigolds.\nEveryone reads a different genre of books: history, spiritual, romance, science fiction, short story, fantasy, mystery.\nEveryone drinks a different drink: coffee, water, tea, iced tea, orange juice, lemonade, hot chocolate.\nEveryone has a different favorite soft drink: Fanta, Pepsi, Canada Dry, Limca, Sprite, Gatorade, Mountain Dew.\nEveryone likes a different fruit: oranges, blueberries, pears, raspberries, kiwis, strawberries, grapes.\nEveryone has a different favorite hobby: parkour, horse riding, gardening, knitting, metal detecting, fishing, stamp collecting.\nEveryone drives a different car: McLaren, Audi, Kia, Mercedes, Tesla, Ferrari, Hyundai.\nEveryone drives a different motorbike: Yamaha, Benelli, Bajaj, Suzuki, Buell, Kawasaki, Ducati.\nEveryone plays a different musical instrument: drums, violin, oboe, flute, guitar, piano, harmonica.\nEveryone likes a different favorite animal: phoenixes, pelikans, mules, squids, panda bears, snakes, halibut.\nEveryone smokes a different cigarette: Pall Mall, Blends, Salem, Newport, Winston, Marlboro, Davidoff.\nEveryone likes a different physical activity: snorkeling, paragliding, swimming, weight lifting, bungee jumping, skiing, scuba diving.\nEveryone lives in a different colored house: beige, silver, turquoise, magenta, indigo, white, cyan.\nEveryone supports a different NBA team: Bucks, Suns, Warriors, Mavericks, Knicks, Cavaliers, Celtics.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Polo Ralph Lauren is the person who drinks hot chocolate.\nClue 2: The person who likes roses is somewhere in between the person who eats pears and the person who supports the Knicks in that order.\nClue 3: The person who likes weight lifting is somewhere in between the person who likes Mountain Dew and the ice hockey player in that order.\nClue 4: The person who lives in the beige house is the Nepali.\nClue 5: The person who likes Canada Dry is somewhere in between the oboe player and the Croatian in that order.\nClue 6: The piano player is the person who supports the Cavaliers.\nClue 7: The Portuguese is the person who likes dahlias.\nClue 8: The person who likes horse riding is the tennis player.\nClue 9: The person who supports the Knicks is at one of the ends.\nClue 10: The person who supports the Cavaliers is the squash player.\nClue 11: The person who likes halibut is the person who likes Gatorade.\nClue 12: The person who eats blueberries is next to the person who likes phoenixes.\nClue 13: The person who reads short story books is the person who smokes Marlboro.\nClue 14: The person who likes Fanta is the person who lives in the white house.\nClue 15: The table tennis player is immediately to the left of the person who likes mules.\nClue 16: The person who lives in the white house is not the person who eats strawberries.\nClue 17: The person who supports the Miami Dolphins is next to the person who drives the Buell.\nClue 18: The person who drinks lemonade is the person who reads science fiction books.\nClue 19: The person who drives the Kawasaki is immediately to the left of the person who drives the Mercedes.\nClue 20: The person who likes roses is immediately to the left of the person who likes pelikans.\nClue 21: The person who supports the Warriors is immediately to the left of the person who lives in the silver house.\nClue 22: The Turkish is somewhere to the left of the person who likes skiing.\nClue 23: The person who smokes Salem is next to the person who smokes Pall Mall.\nClue 24: The person who drives the Bajaj is immediately to the left of the person who drinks water.\nClue 25: The person who lives in the cyan house is somewhere to the left of the person who eats raspberries.\nClue 26: The person who likes bungee jumping is not the person who eats oranges.\nClue 27: The person who lives in the silver house is not the person who likes begonias.\nClue 28: The person who reads mystery books is somewhere to the left of the person who drives the Kia.\nClue 29: The person who likes paragliding is somewhere to the left of the person who likes marigolds.\nClue 30: The person who eats grapes is somewhere to the left of the soccer player.\nClue 31: The person who likes parkour is at one of the ends.\nClue 32: The soccer player is somewhere in between the person who likes halibut and the volleyball player in that order.\nClue 33: The person who drives the Hyundai is somewhere in between the person who supports the Buffalo Bills and the person who supports the Miami Dolphins in that order.\nClue 34: The person who owns a Coach is the person who supports the Arizona Cardinals.\nClue 35: The person who drives the McLaren is next to the person who reads science fiction books.\nClue 36: The person who lives in the cyan house is not the ice hockey player.\nClue 37: The person who likes mules is immediately to the left of the person who likes Pepsi.\nClue 38: The person who likes skiing is the person who lives in the indigo house.\nClue 39: The person who likes skiing is not the drums player.\nClue 40: The person who supports the Warriors is not the person who likes skiing.\nClue 41: The person who likes paragliding is at one of the ends.\nClue 42: The person who reads romance books is the person who supports the Atlanta Falcons.\nClue 43: The person who eats oranges is the person who likes Pepsi.\nClue 44: The person who reads romance books is the person who owns a Polo Ralph Lauren.\nClue 45: The baseball player is somewhere to the left of the person who eats kiwis.\nClue 46: The violin player is immediately to the left of the squash player.\nClue 47: The person who supports the Warriors is somewhere in between the person who supports the Bucks and the person who eats raspberries in that order.\nClue 48: The person who smokes Marlboro is immediately to the left of the person who drinks lemonade.\nClue 49: The person who likes roses is somewhere in between the person who likes knitting and the person who likes scuba diving in that order.\nClue 50: The person who drinks coffee is immediately to the left of the person who drives the McLaren.\nClue 51: The person who eats grapes is the person who likes Mountain Dew.\nClue 52: The person who lives in the white house is somewhere to the left of the person who lives in the turquoise house.\nClue 53: The person who likes phoenixes is not the person who likes marigolds.\nClue 54: The person who smokes Pall Mall is immediately to the left of the person at the 4th position.\nClue 55: The person who likes bungee jumping is the person who supports the Warriors.\nClue 56: The person who likes gardening is next to the person who supports the Knicks.\nClue 57: The person who drives the Suzuki is at one of the ends.\nClue 58: The person who drinks lemonade is immediately to the left of the person who drinks water.\nClue 59: The person who supports the Buffalo Bills is immediately to the left of the person at the 5th position.\nClue 60: The person who eats kiwis is the Croatian.\nClue 61: The person who likes gardening is the person who eats raspberries.\nClue 62: The person who supports the Chicago Bears is the person who reads spiritual books.\nClue 63: The person who likes metal detecting is at one of the ends.\nClue 64: The person who likes fishing is not the person who eats pears.\nClue 65: The person who eats pears is not the person who likes knitting.\nClue 66: The person who eats grapes is immediately to the left of the piano player.\nClue 67: The person who likes swimming is not the tennis player.\nClue 68: The person who likes roses is somewhere in between the person who likes knitting and the Croatian in that order.\nClue 69: The person who drinks orange juice is somewhere in between the person who drinks lemonade and the person who drives the Benelli in that order.\nClue 70: The person who reads short story books is immediately to the left of the person who smokes Pall Mall.\nClue 71: The person who lives in the cyan house is next to the drums player.\nClue 72: The person who likes Pepsi is next to the violin player.\nClue 73: The person who drives the Mercedes is the person who owns a Tumi.\nClue 74: The person who likes snakes is at one of the ends.\nClue 75: The person who drives the Ferrari is at one of the ends.\nClue 76: The person who likes skiing is not the Brit.\nClue 77: The flute player is at one of the ends.\nClue 78: The person who likes daffodils is at one of the ends.\nClue 79: The person who smokes Winston is somewhere to the left of the person who drinks tea.\nClue 80: The person who owns a Michael Kors is the person who drives the Yamaha.\nClue 81: The person who likes pelikans is not the person who supports the Bucks.\nClue 82: The person who smokes Newport is next to the person who owns a Dolce and Gabbana.\nClue 83: The person who eats pears is next to the violin player.\nClue 84: The person who likes Canada Dry is somewhere in between the person who likes fishing and the person who likes marigolds in that order.\nClue 85: The person who likes gardening is the Portuguese.\nClue 86: The flute player is at one of the ends.\nClue 87: The person who likes dahlias is somewhere in between the person who likes halibut and the person who eats kiwis in that order.\nClue 88: The person who supports the Chicago Bears is somewhere to the left of the person who smokes Newport.\nClue 89: The person who likes parkour is the person who likes skiing.\nClue 90: The person who supports the Miami Dolphins is the person who smokes Blends.\nClue 91: The person who supports the Mavericks is at one of the ends.\nClue 92: The Brit is the table tennis player.\nClue 93: The person who supports the Mavericks is not the person who eats grapes.\nClue 94: The oboe player is next to the person who supports the Celtics.\nClue 95: The person who reads mystery books is immediately to the left of the person who drives the Suzuki.\nClue 96: The Brit is the person who likes Fanta.\nClue 97: The baseball player is somewhere to the left of the person who eats strawberries.\nClue 98: The person who likes pelikans is the person who lives in the silver house.\nClue 99: The person who drives the Yamaha is somewhere in between the person who owns a Tumi and the person who owns a Versace in that order.\nClue 100: The person who lives in the white house is at one of the ends.\nClue 101: The person who supports the Mavericks is next to the person who likes mules.\nClue 102: The guitar player is at one of the ends.\nClue 103: The Brit is somewhere to the left of the person who likes pelikans.\nClue 104: The person who likes paragliding is immediately to the left of the person who likes snorkeling.\nClue 105: The person who smokes Salem is immediately to the left of the person who smokes Winston.\nClue 106: The person who drives the Audi is immediately to the left of the person who supports the Pittsburgh Steelers.\nClue 107: The person who likes bungee jumping is somewhere in between the person who supports the Bucks and the person who likes gardening in that order.\nClue 108: The person who supports the Mavericks is somewhere to the left of the person who likes pelikans.\nClue 109: The person who likes peonies is somewhere to the left of the person who likes Limca.\nClue 110: The piano player is the person who likes swimming.\nClue 111: The Portuguese is the person who supports the Celtics.\nClue 112: The person who lives in the indigo house is at one of the ends.\nClue 113: The Croatian is the volleyball player.\nClue 114: The person who lives in the turquoise house is not the person who eats pears.\nClue 115: The person who owns a Gucci is at one of the ends.\nClue 116: The person who likes knitting is not the person who likes skiing.\nClue 117: The person who likes snakes is the Brit.\nClue 118: The person who likes paragliding is the person who likes daffodils.\nClue 119: The drums player is immediately to the left of the person who likes fishing.\nClue 120: The person who likes Sprite is not the person who likes skiing.\nClue 121: The person who lives in the white house is not the person who likes panda bears.\nClue 122: The person who likes panda bears is somewhere in between the person who likes Mountain Dew and the person who likes pelikans in that order.\nClue 123: The Turkish is somewhere in between the person who supports the Cavaliers and the person who supports the Knicks in that order.\nClue 124: The person who likes Fanta is somewhere to the left of the person who supports the Cavaliers.\nClue 125: The person who likes Fanta is not the oboe player.\nClue 126: The person who supports the Cavaliers is not the person who likes squids.\nClue 127: The person who supports the Suns is the Nepali.\nClue 128: The person who lives in the turquoise house is not the table tennis player.\nClue 129: The person who likes daisies is the person who eats grapes.\nClue 130: The person who supports the Chicago Bears is at one of the ends.\nClue 131: The person who supports the Knicks is next to the person who supports the Celtics.\nClue 132: The person who eats strawberries is next to the person who supports the Celtics.\nClue 133: The Turkish is somewhere in between the person who likes snorkeling and the person who likes skiing in that order.\nClue 134: The person who likes squids is not the person who lives in the turquoise house.\nClue 135: The person who likes stamp collecting is the person who likes swimming.\nClue 136: The person who drinks orange juice is next to the person who reads history books.\n\nQuestion: What position is the person who supports the Dallas Cowboys at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:014", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone supports a different NBA team: Knicks, Bulls, Warriors, Celtics, Hawks, Cavaliers, Bucks.\nEveryone drives a different motorbike: Piaggio, Benelli, Ducati, Honda, Yamaha, Kawasaki, Bajaj.\nEveryone drinks a different drink: water, milk, tea, beer, orange juice, hot chocolate, iced tea.\nEveryone likes a different food: curry, fried rice, pasta, noodles, tacos, pizza, soups.\nEveryone has a different profession: writer, spy, chef, doctor, singer, engineer, teacher.\nEveryone has a different name: Rajiv, Margaret, Barbara, Nour, Maven, Jones, Jackson.\nEveryone has a different favorite hobby: sailing, language learning, astronomy, fishing, painting, baking, video games.\nEveryone likes a different type of flower: tulips, carnations, marigolds, begonias, dahlias, daffodils, orchids.\nEveryone reads a different genre of books: romance, spiritual, mystery, short story, history, magical realism, science fiction.\nEveryone drives a different car: McLaren, Audi, Ferrari, Toyota, Tesla, Ford, Lexus.\nEveryone owns a different handbag brand: Kate Spade, Versace, Tory Burch, Michael Kors, Polo Ralph Lauren, Dolce and Gabbana, Coach.\nEveryone plays a different sport: ice hockey, squash, baseball, soccer, badminton, cricket, volleyball.\nEveryone likes a different fruit: blueberries, kiwis, bananas, strawberries, pears, raspberries, oranges.\nEveryone is a different nationality: Chinese, Iranian, Australian, Canadian, Swiss, Irish, Indian.\nEveryone likes a different type of gemstone: Sapphires, Jade, Corals, Moonstones, Rubies, Topaz, Obsidians.\nEveryone lives in a different colored house: red, grey, orange, white, beige, turquoise, violet.\nEveryone smokes a different cigarette: Newport, Camel, Marlboro, Winston, Salem, Blue Master, Pall Mall.\nEveryone has a different favorite soft drink: Dr Pepper, Coke, Gatorade, Mountain Dew, Fanta, Mirinda, Powerade.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who reads history books is the person who lives in the white house.\nClue 2: The Iranian is not Jones.\nClue 3: The chef is somewhere to the left of the writer.\nClue 4: The person who drives the McLaren is the person at the 1st position.\nClue 5: The person who likes Corals is the writer.\nClue 6: The person who likes pizza is the person who owns a Tory Burch.\nClue 7: The person who supports the Cavaliers is the person who likes fishing.\nClue 8: The person who lives in the beige house is not the person who supports the Hawks.\nClue 9: Jackson is immediately to the left of the person who lives in the grey house.\nClue 10: Nour is not the person who likes fishing.\nClue 11: The person who reads science fiction books is not the Indian.\nClue 12: The person who smokes Marlboro is immediately to the left of the engineer.\nClue 13: The Canadian is at one of the ends.\nClue 14: The person who reads romance books is somewhere in between the person who reads short story books and the person who likes Dr Pepper in that order.\nClue 15: The person who likes Gatorade is somewhere to the left of the person who supports the Cavaliers.\nClue 16: The person who likes begonias is somewhere to the left of the person who owns a Kate Spade.\nClue 17: Maven is not the person who reads romance books.\nClue 18: The badminton player is immediately to the left of the person who drives the Ferrari.\nClue 19: The person who likes Corals is not the person who smokes Winston.\nClue 20: The person who supports the Hawks is somewhere in between the person who eats blueberries and the person who supports the Bulls in that order.\nClue 21: The person who likes noodles is the ice hockey player.\nClue 22: Jones is at one of the ends.\nClue 23: The person who drives the Lexus is the person who drives the Kawasaki.\nClue 24: The person who likes Gatorade is somewhere in between the person who likes baking and the doctor in that order.\nClue 25: The person who likes video games is next to Jackson.\nClue 26: The person who reads romance books is next to the person who likes baking.\nClue 27: The person who drives the Audi is next to the person who drinks water.\nClue 28: The person who eats oranges is next to the person who likes language learning.\nClue 29: The person who drinks tea is the person who drives the Benelli.\nClue 30: The person who reads short story books is immediately to the left of the person who likes Mirinda.\nClue 31: The person who likes astronomy is at one of the ends.\nClue 32: The person who likes tacos is the person who likes daffodils.\nClue 33: The writer is the person who supports the Bucks.\nClue 34: The person who likes baking is the writer.\nClue 35: The person who likes Corals is not the person who eats raspberries.\nClue 36: The person who likes Coke is somewhere to the left of the person who supports the Bucks.\nClue 37: The person who likes astronomy is immediately to the left of the person who smokes Marlboro.\nClue 38: Jones is not the person who supports the Bucks.\nClue 39: Rajiv is the person who supports the Bulls.\nClue 40: The teacher is at one of the ends.\nClue 41: The person who likes Powerade is at one of the ends.\nClue 42: The writer is not the person who supports the Cavaliers.\nClue 43: The person who reads romance books is immediately to the left of the writer.\nClue 44: The Indian is the person who lives in the grey house.\nClue 45: The person who supports the Warriors is immediately to the left of the Swiss.\nClue 46: The person who lives in the turquoise house is not the person who likes baking.\nClue 47: The person who eats kiwis is next to the person who eats oranges.\nClue 48: The person who likes Coke is not the person who likes sailing.\nClue 49: The person who drinks orange juice is the person who likes tacos.\nClue 50: The person who reads short story books is the person who smokes Newport.\nClue 51: The person who likes tacos is next to the soccer player.\nClue 52: The person who likes Gatorade is not the person who eats oranges.\nClue 53: The Australian is somewhere in between the person who likes Mirinda and the person who supports the Warriors in that order.\nClue 54: The person who likes orchids is the person who drives the Ferrari.\nClue 55: The Swiss is at one of the ends.\nClue 56: The person who likes Rubies is somewhere in between the person who eats oranges and the person who lives in the beige house in that order.\nClue 57: The person who likes Mirinda is somewhere in between the engineer and the writer in that order.\nClue 58: The person who lives in the beige house is not the Iranian.\nClue 59: The volleyball player is next to the person who drinks milk.\nClue 60: The person who drives the Ford is the baseball player.\nClue 61: The person who owns a Versace is the badminton player.\nClue 62: The person who likes baking is somewhere in between the Chinese and the person who lives in the beige house in that order.\nClue 63: The badminton player is at one of the ends.\nClue 64: The person who likes baking is immediately to the left of the person who eats pears.\nClue 65: The person who likes Rubies is next to the Indian.\nClue 66: The person who likes dahlias is somewhere in between the person who drinks water and the person who owns a Dolce and Gabbana in that order.\nClue 67: The person who owns a Polo Ralph Lauren is immediately to the left of the person who drives the Ford.\nClue 68: The person who owns a Polo Ralph Lauren is the person who drives the Yamaha.\nClue 69: The person who reads mystery books is not the person who smokes Newport.\nClue 70: Maven is at one of the ends.\nClue 71: The person who likes video games is Rajiv.\nClue 72: The person who drives the Tesla is the person who likes noodles.\nClue 73: The person who smokes Newport is the person who likes video games.\nClue 74: The chef is not Maven.\nClue 75: The person who eats oranges is not the Irish.\nClue 76: The person who likes Powerade is immediately to the left of the person who likes painting.\nClue 77: The person who likes dahlias is the person at the 6th position.\nClue 78: The person who likes video games is immediately to the left of the Chinese.\nClue 79: The person who lives in the beige house is somewhere in between the person who smokes Salem and the doctor in that order.\nClue 80: The person who drives the Bajaj is immediately to the left of the person who likes begonias.\nClue 81: The person who supports the Knicks is not the person who smokes Camel.\nClue 82: The person who reads short story books is next to the person who eats raspberries.\nClue 83: The person who owns a Versace is the person who likes marigolds.\nClue 84: The Iranian is somewhere in between the person who smokes Pall Mall and the Australian in that order.\nClue 85: The person who likes video games is not the person who smokes Winston.\nClue 86: The person who likes Powerade is at one of the ends.\nClue 87: The person who smokes Camel is the person who lives in the red house.\nClue 88: The person who likes orchids is immediately to the left of the person who drives the Bajaj.\nClue 89: Nour is the person who reads spiritual books.\nClue 90: The person who likes carnations is next to the person who likes curry.\nClue 91: Barbara is the person who likes Dr Pepper.\nClue 92: The person who smokes Newport is somewhere in between the person who eats blueberries and the Australian in that order.\nClue 93: The person who likes tacos is at one of the ends.\nClue 94: The person who likes Obsidians is at one of the ends.\nClue 95: The person who likes sailing is somewhere in between the person who likes baking and the person who lives in the violet house in that order.\nClue 96: The person who supports the Warriors is next to the doctor.\nClue 97: The person who supports the Celtics is not the person who likes Obsidians.\nClue 98: The person who likes Sapphires is immediately to the left of the person who supports the Celtics.\nClue 99: The person who supports the Celtics is not the person who likes astronomy.\nClue 100: Jones is at one of the ends.\nClue 101: The person who likes Jade is next to the person who likes Mountain Dew.\nClue 102: The person who likes tacos is next to the person who owns a Tory Burch.\nClue 103: The person who smokes Winston is Jones.\nClue 104: The writer is somewhere to the left of the person who likes fishing.\nClue 105: The person who likes Gatorade is immediately to the left of the person who likes Mountain Dew.\nClue 106: The singer is somewhere to the left of Jones.\nClue 107: The person who reads romance books is somewhere in between the engineer and the Irish in that order.\nClue 108: Jackson is not the person who lives in the red house.\nClue 109: The person who owns a Tory Burch is somewhere to the left of the person who drives the Lexus.\nClue 110: The person who likes Mirinda is the person who eats raspberries.\nClue 111: The engineer is the person who lives in the grey house.\nClue 112: The person who smokes Camel is immediately to the left of the person who lives in the white house.\nClue 113: The person who likes video games is the person who likes Sapphires.\nClue 114: The person who likes soups is the person who drives the McLaren.\nClue 115: The person who drives the McLaren is next to the person who likes curry.\nClue 116: The person who likes pizza is somewhere to the left of the volleyball player.\nClue 117: The person who likes fishing is the Swiss.\nClue 118: The person who supports the Hawks is the person who eats kiwis.\nClue 119: The person who supports the Bulls is somewhere in between the person who likes astronomy and the person who eats raspberries in that order.\nClue 120: The person who likes baking is immediately to the left of the Irish.\nClue 121: The person who likes Rubies is not the person who smokes Winston.\nClue 122: The person who eats kiwis is immediately to the left of the person who likes Sapphires.\nClue 123: The person who likes Powerade is not the singer.\nClue 124: The person who likes Coke is somewhere in between the person who smokes Pall Mall and the Indian in that order.\nClue 125: The person who drives the Bajaj is next to the person who drives the Piaggio.\nClue 126: The person who drinks beer is at one of the ends.\nClue 127: The person who owns a Coach is next to the badminton player.\nClue 128: The person who drives the Toyota is the person who drives the Ducati.\nClue 129: The person who drinks tea is next to the person who likes fried rice.\nClue 130: The person who supports the Bulls is somewhere to the left of the person who smokes Salem.\nClue 131: The person who likes begonias is the cricket player.\nClue 132: The person who likes Obsidians is not the spy.\nClue 133: The person who drinks iced tea is next to the person who drinks beer.\nClue 134: The person who likes Jade is somewhere to the left of the person who lives in the violet house.\nClue 135: The person who eats strawberries is at one of the ends.\nClue 136: The person who lives in the beige house is the person who eats pears.\nClue 137: The person who eats bananas is not the person who lives in the turquoise house.\nClue 138: The person who likes Corals is somewhere in between the person who reads short story books and the person who likes fishing in that order.\n\nQuestion: What position is the volleyball player at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:016", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different physical activity: base jumping, hiking, skiing, bungee jumping, swimming, scuba diving, running.\nEveryone drives a different car: Honda, Lexus, Ford, Hyundai, Toyota, Mercedes, Audi.\nEveryone smokes a different cigarette: Davidoff, Salem, Blends, Marlboro, Camel, Winston, Pall Mall.\nEveryone owns a different handbag brand: Balenciaga, Michael Kors, Tumi, Kate Spade, Versace, Tory Burch, Gucci.\nEveryone likes a different fruit: bananas, blackberries, blueberries, pears, strawberries, oranges, grapes.\nEveryone drinks a different drink: iced coffee, water, coffee, beer, lemonade, hot chocolate, orange juice.\nEveryone drives a different motorbike: Yamaha, Buell, Ducati, Bajaj, Honda, Piaggio, Benelli.\nEveryone has a different favorite soft drink: Fanta, Coke, Gatorade, Mountain Dew, Pepsi, Limca, Mirinda.\nEveryone likes a different type of gemstone: Pearls, Diamonds, Obsidians, Moonstones, Jade, Corals, Rubies.\nEveryone lives in a different colored house: brown, purple, black, red, yellow, green, gold.\nEveryone has a different profession: engineer, spy, writer, actor, artist, architect, designer.\nEveryone has a different name: Michael, Joseph, Jackson, Mohan, Karan, Mallika, Siva.\nEveryone supports a different NFL team: Pittsburgh Steelers, Philadelphia Eagles, Green Bay Packers, San Francisco 49ers, Carolina Panthers, Baltimore Ravens, Detroit Lions.\nEveryone plays a different musical instrument: guitar, oboe, drums, harp, flute, piano, saxophone.\nEveryone likes a different type of flower: carnations, daffodils, begonias, peonies, dahlias, marigolds, orchids.\nEveryone likes a different food: kebabs, pizza, fried rice, soups, sandwiches, noodles, curry.\nEveryone likes a different favorite animal: seahorses, coyotes, crows, starlings, catfish, storks, parrots.\nEveryone plays a different sport: table tennis, badminton, tennis, baseball, ice hockey, squash, volleyball.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Pall Mall is not Mallika.\nClue 2: The person who smokes Camel is the person who likes pizza.\nClue 3: The person who supports the Baltimore Ravens is somewhere in between the person who supports the Green Bay Packers and the person who likes begonias in that order.\nClue 4: Jackson is somewhere in between the person who smokes Camel and the person who lives in the red house in that order.\nClue 5: The person who drives the Hyundai is somewhere in between the person who eats oranges and the person who supports the Baltimore Ravens in that order.\nClue 6: The squash player is immediately to the left of the badminton player.\nClue 7: The person who drives the Bajaj is the person who lives in the yellow house.\nClue 8: The person who likes carnations is not the person who drinks coffee.\nClue 9: The person who lives in the yellow house is next to the person who supports the San Francisco 49ers.\nClue 10: The person who likes Corals is somewhere in between the person who likes marigolds and the person who lives in the gold house in that order.\nClue 11: The person who lives in the purple house is Jackson.\nClue 12: The person who supports the Carolina Panthers is next to the person who likes peonies.\nClue 13: The person who eats strawberries is next to the person who likes sandwiches.\nClue 14: The person who lives in the gold house is not the person who likes Obsidians.\nClue 15: The person who eats blackberries is next to the person who drives the Honda.\nClue 16: The person who drives the Piaggio is next to the person who supports the Green Bay Packers.\nClue 17: The person who likes Limca is somewhere in between the person who likes Mirinda and the person who likes crows in that order.\nClue 18: The person who likes begonias is at one of the ends.\nClue 19: The person who supports the Pittsburgh Steelers is somewhere to the left of the person who likes fried rice.\nClue 20: The person who lives in the purple house is somewhere in between the person who drives the Lexus and the person who drives the Yamaha in that order.\nClue 21: The person who drives the Lexus is the person who likes carnations.\nClue 22: The person who smokes Marlboro is somewhere to the left of the person who lives in the red house.\nClue 23: The person who smokes Marlboro is somewhere to the left of the person who likes begonias.\nClue 24: The person who likes soups is somewhere to the left of the person who likes Obsidians.\nClue 25: The person who supports the Detroit Lions is not the person who likes carnations.\nClue 26: The person who drives the Ford is next to the person who drinks hot chocolate.\nClue 27: The person who likes crows is immediately to the left of the squash player.\nClue 28: The person who smokes Winston is at one of the ends.\nClue 29: The flute player is the architect.\nClue 30: Jackson is somewhere to the left of the person who drives the Ford.\nClue 31: The person who drinks hot chocolate is the person who likes kebabs.\nClue 32: The person who drinks iced coffee is immediately to the left of the person who drives the Hyundai.\nClue 33: The person who drives the Mercedes is somewhere in between Mallika and the person who eats pears in that order.\nClue 34: The person who likes Moonstones is somewhere in between Mallika and the person who likes kebabs in that order.\nClue 35: The person who likes Mirinda is somewhere to the left of the table tennis player.\nClue 36: The person who owns a Michael Kors is the person who likes starlings.\nClue 37: The person who likes Pepsi is immediately to the left of the person who likes Mountain Dew.\nClue 38: The person who owns a Tumi is the person who likes base jumping.\nClue 39: The person who likes Fanta is somewhere in between the person who likes Gatorade and the person who likes coyotes in that order.\nClue 40: Mohan is somewhere to the left of the person who smokes Davidoff.\nClue 41: The person who likes Pearls is the person who likes peonies.\nClue 42: The person who likes kebabs is somewhere in between the person who likes Diamonds and the person who likes peonies in that order.\nClue 43: The person who smokes Salem is next to the person who likes kebabs.\nClue 44: The person who likes Mirinda is immediately to the left of the artist.\nClue 45: The person who likes fried rice is immediately to the left of the person who eats pears.\nClue 46: The person who lives in the green house is not the person who likes noodles.\nClue 47: The person who eats bananas is somewhere in between Siva and the person who drinks lemonade in that order.\nClue 48: The person who smokes Pall Mall is not the person who eats blackberries.\nClue 49: The person who drives the Toyota is next to the person who likes soups.\nClue 50: The baseball player is next to the person who likes parrots.\nClue 51: The actor is the person who likes coyotes.\nClue 52: The person who likes Rubies is not the person who drinks beer.\nClue 53: The person who likes bungee jumping is the spy.\nClue 54: The person who drives the Hyundai is somewhere in between the person who likes curry and the person who smokes Salem in that order.\nClue 55: The person who drinks iced coffee is not the person who lives in the green house.\nClue 56: The person who drives the Lexus is somewhere in between the person who smokes Winston and the person who supports the Carolina Panthers in that order.\nClue 57: The person who smokes Camel is not the person who eats strawberries.\nClue 58: The badminton player is at one of the ends.\nClue 59: The person who likes crows is somewhere in between the person who likes hiking and the writer in that order.\nClue 60: The person who likes kebabs is immediately to the left of the person who likes sandwiches.\nClue 61: The person who drives the Lexus is somewhere to the left of the person who eats blackberries.\nClue 62: The person who likes starlings is the guitar player.\nClue 63: The person who owns a Michael Kors is somewhere in between the person who likes storks and the person who likes Pepsi in that order.\nClue 64: The person who owns a Michael Kors is next to the baseball player.\nClue 65: The person who likes sandwiches is next to the person who likes Jade.\nClue 66: The person who smokes Blends is the person who eats bananas.\nClue 67: The person who likes pizza is the person who likes Corals.\nClue 68: The person who owns a Michael Kors is the person who likes scuba diving.\nClue 69: The person who likes carnations is not the person who likes Pearls.\nClue 70: The person at the 3rd position is somewhere to the left of the person who owns a Gucci.\nClue 71: The person who owns a Tory Burch is somewhere to the left of the person who likes crows.\nClue 72: The person who drives the Honda is not Joseph.\nClue 73: The person who smokes Salem is immediately to the left of the person who likes Jade.\nClue 74: The person who likes soups is the person who likes marigolds.\nClue 75: The person who eats grapes is immediately to the left of the person who lives in the green house.\nClue 76: The person who likes crows is the designer.\nClue 77: Joseph is the person who eats strawberries.\nClue 78: The saxophone player is next to the squash player.\nClue 79: The actor is at one of the ends.\nClue 80: The person who likes pizza is not the person who supports the Carolina Panthers.\nClue 81: The person who likes peonies is somewhere in between the person who likes kebabs and the person who supports the Carolina Panthers in that order.\nClue 82: The person who likes Diamonds is the person who likes daffodils.\nClue 83: The person who likes Fanta is the oboe player.\nClue 84: The person who smokes Pall Mall is next to the person who likes curry.\nClue 85: The person who drives the Toyota is immediately to the left of the person who drives the Bajaj.\nClue 86: Jackson is the person who eats pears.\nClue 87: The person who owns a Tumi is at one of the ends.\nClue 88: The harp player is next to the person who likes Pepsi.\nClue 89: The spy is immediately to the left of the person who owns a Michael Kors.\nClue 90: The ice hockey player is immediately to the left of the person who likes seahorses.\nClue 91: The person who smokes Pall Mall is next to the person who eats blueberries.\nClue 92: Michael is somewhere to the left of the person who drinks lemonade.\nClue 93: The person who supports the San Francisco 49ers is Siva.\nClue 94: Mallika is immediately to the left of the person who drinks beer.\nClue 95: The writer is the person who likes swimming.\nClue 96: The person who likes Corals is not the person who likes fried rice.\nClue 97: The person who likes Moonstones is somewhere in between the person who drives the Ducati and the person who likes Diamonds in that order.\nClue 98: The person who eats grapes is next to the person who eats oranges.\nClue 99: The person who likes Pearls is somewhere in between the person who drinks hot chocolate and the person who likes Jade in that order.\nClue 100: The piano player is immediately to the left of the person who owns a Kate Spade.\nClue 101: The person who smokes Pall Mall is next to the person who supports the Pittsburgh Steelers.\nClue 102: Karan is not the person who eats strawberries.\nClue 103: The person who lives in the red house is somewhere in between the person who smokes Marlboro and the person who smokes Davidoff in that order.\nClue 104: The person who lives in the brown house is somewhere to the left of the person who likes dahlias.\nClue 105: The person who drives the Benelli is somewhere to the left of the person who likes noodles.\nClue 106: The person who supports the Baltimore Ravens is immediately to the left of the person who likes begonias.\nClue 107: The writer is immediately to the left of the actor.\nClue 108: The person who likes curry is not the person who drives the Yamaha.\nClue 109: The person who likes dahlias is somewhere in between the person who lives in the brown house and the person who smokes Salem in that order.\nClue 110: Karan is next to the person who lives in the green house.\nClue 111: The person who drinks coffee is somewhere to the left of the person who eats strawberries.\nClue 112: The person who supports the Philadelphia Eagles is somewhere to the left of the person who drives the Lexus.\nClue 113: Mohan is next to the person who likes dahlias.\nClue 114: The person who likes peonies is somewhere in between the person who supports the Green Bay Packers and the person who drives the Yamaha in that order.\nClue 115: The person who likes Pearls is somewhere to the left of the person who likes Jade.\nClue 116: The person who likes pizza is the person who supports the San Francisco 49ers.\nClue 117: The flute player is at one of the ends.\nClue 118: The badminton player is the person who likes running.\nClue 119: The saxophone player is somewhere to the left of the person who owns a Kate Spade.\nClue 120: The person who eats blackberries is not the person who likes marigolds.\nClue 121: The volleyball player is at one of the ends.\nClue 122: The person who likes noodles is next to the person who lives in the red house.\nClue 123: The person who likes Jade is at one of the ends.\nClue 124: The person who eats grapes is somewhere to the left of the person who drives the Benelli.\nClue 125: The person who likes parrots is at one of the ends.\nClue 126: The person who likes Jade is next to the person who likes Pearls.\nClue 127: The person who owns a Gucci is somewhere to the left of the ice hockey player.\nClue 128: The squash player is immediately to the left of the harp player.\nClue 129: The person who drives the Yamaha is Joseph.\nClue 130: The person who likes noodles is the person who likes begonias.\nClue 131: The person who likes orchids is at one of the ends.\nClue 132: The person who drives the Honda is at one of the ends.\nClue 133: The person who drives the Mercedes is somewhere in between the person who drives the Audi and the person who lives in the purple house in that order.\nClue 134: The person who eats grapes is not the person who likes Corals.\nClue 135: The person who likes orchids is somewhere to the left of the person who likes noodles.\nClue 136: The person who likes Pepsi is the person who likes seahorses.\nClue 137: The person who owns a Versace is next to the actor.\nClue 138: The spy is the oboe player.\nClue 139: The person who eats grapes is somewhere to the left of the person who drives the Ford.\nClue 140: The person who likes noodles is at one of the ends.\nClue 141: The person who smokes Davidoff is the person who drives the Honda.\nClue 142: The person who lives in the purple house is the person who eats pears.\n\nQuestion: What position is the person who likes hiking at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:017", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite hobby: cooking, coin collecting, wood carving, sailing, welding, skiing, juggling.\nEveryone drives a different motorbike: Benelli, Bajaj, Piaggio, Honda, Yamaha, Harley-Davidson, Suzuki.\nEveryone supports a different NFL team: San Francisco 49ers, Los Angeles Rams, Baltimore Ravens, Cincinnati Bengals, Tennessee Titans, Denver Broncos, Detroit Lions.\nEveryone likes a different physical activity: hiking, weight lifting, bungee jumping, swimming, running, scuba diving, paragliding.\nEveryone owns a different handbag brand: Tumi, Kate Spade, Michael Kors, Tory Burch, Coach, Polo Ralph Lauren, Gucci.\nEveryone plays a different musical instrument: cello, oboe, harp, flute, violin, saxophone, drums.\nEveryone has a different favorite soft drink: Mountain Dew, Sprite, Dr Pepper, 7up, Powerade, Coke, Canada Dry.\nEveryone likes a different food: pasta, tacos, curry, pizza, sandwiches, soups, noodles.\nEveryone has a different profession: spy, programmer, chef, teacher, dancer, actor, designer.\nEveryone likes a different type of flower: roses, daisies, daffodils, begonias, orchids, marigolds, peonies.\nEveryone plays a different sport: volleyball, ice hockey, table tennis, badminton, tennis, soccer, cricket.\nEveryone drives a different car: Audi, Mercedes, Hyundai, Lexus, Tesla, McLaren, Ferrari.\nEveryone smokes a different cigarette: Marlboro, Davidoff, Dunhill, Blue Master, Salem, Winston, Newport.\nEveryone lives in a different colored house: orange, turquoise, violet, magenta, indigo, black, brown.\nEveryone drinks a different drink: water, orange juice, lemonade, milk, beer, iced tea, coffee.\nEveryone likes a different favorite animal: moose, black bears, ferrets, dugongs, goats, caterpillars, monkeys.\nEveryone likes a different type of gemstone: Obsidians, Ambers, Jade, Dolomites, Emeralds, Topaz, Moonstones.\nEveryone supports a different NBA team: Lakers, Suns, Celtics, Hawks, Bulls, Knicks, Cavaliers.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Kate Spade is immediately to the left of the person who supports the Bulls.\nClue 2: The person who drives the McLaren is next to the person who likes scuba diving.\nClue 3: The person who supports the Cincinnati Bengals is at one of the ends.\nClue 4: The person who drinks water is immediately to the left of the person who likes Moonstones.\nClue 5: The person who supports the Los Angeles Rams is the person who smokes Winston.\nClue 6: The person who likes running is somewhere in between the person who likes scuba diving and the person who likes weight lifting in that order.\nClue 7: The person who likes orchids is at one of the ends.\nClue 8: The person who likes daffodils is somewhere in between the person who supports the Tennessee Titans and the ice hockey player in that order.\nClue 9: The cricket player is the person who drives the Yamaha.\nClue 10: The person who likes roses is the person who drives the Lexus.\nClue 11: The flute player is somewhere in between the person who likes bungee jumping and the person who smokes Davidoff in that order.\nClue 12: The saxophone player is somewhere in between the cello player and the tennis player in that order.\nClue 13: The person who owns a Tory Burch is next to the person who drives the Piaggio.\nClue 14: The person who supports the Baltimore Ravens is the person who smokes Blue Master.\nClue 15: The programmer is somewhere to the left of the person who likes Emeralds.\nClue 16: The person at the 4th position is somewhere to the left of the person who likes Topaz.\nClue 17: The person who likes pasta is next to the person who likes Moonstones.\nClue 18: The person who likes coin collecting is the programmer.\nClue 19: The person who lives in the brown house is somewhere in between the person who likes pizza and the person who likes Jade in that order.\nClue 20: The person who owns a Polo Ralph Lauren is at one of the ends.\nClue 21: The person who likes Dr Pepper is not the flute player.\nClue 22: The person who supports the Cincinnati Bengals is next to the person who likes Canada Dry.\nClue 23: The person who smokes Newport is the badminton player.\nClue 24: The person who owns a Kate Spade is the person who likes 7up.\nClue 25: The person who smokes Newport is somewhere in between the person who likes begonias and the person who drives the Piaggio in that order.\nClue 26: The person who lives in the turquoise house is the person who likes goats.\nClue 27: The person who drives the Yamaha is the harp player.\nClue 28: The person who supports the Cincinnati Bengals is the person who likes weight lifting.\nClue 29: The person who smokes Salem is somewhere in between the drums player and the person who supports the Bulls in that order.\nClue 30: The person who owns a Tumi is not the person who supports the Tennessee Titans.\nClue 31: The badminton player is not the person who smokes Dunhill.\nClue 32: The person who likes Ambers is next to the person who likes welding.\nClue 33: The saxophone player is not the person who drives the Yamaha.\nClue 34: The person who likes moose is somewhere in between the person who likes soups and the chef in that order.\nClue 35: The badminton player is not the person who owns a Gucci.\nClue 36: The person who likes pasta is immediately to the left of the person who likes sailing.\nClue 37: The person who likes pasta is next to the person who likes Ambers.\nClue 38: The person who drives the Mercedes is next to the person who drives the Honda.\nClue 39: The person who supports the Tennessee Titans is immediately to the left of the person who owns a Kate Spade.\nClue 40: The violin player is at one of the ends.\nClue 41: The oboe player is at one of the ends.\nClue 42: The person who likes daisies is immediately to the left of the person who drives the Lexus.\nClue 43: The table tennis player is not the person who likes paragliding.\nClue 44: The soccer player is immediately to the left of the person who drives the Bajaj.\nClue 45: The badminton player is not the person who likes roses.\nClue 46: The person who supports the Detroit Lions is somewhere in between the person who drives the Bajaj and the drums player in that order.\nClue 47: The violin player is immediately to the left of the person who owns a Gucci.\nClue 48: The person who smokes Salem is somewhere to the left of the person who supports the San Francisco 49ers.\nClue 49: The person who likes Dolomites is the person who likes coin collecting.\nClue 50: The person who drives the Harley-Davidson is at one of the ends.\nClue 51: The person who supports the Tennessee Titans is the drums player.\nClue 52: The person who drives the Mercedes is somewhere in between the person who likes begonias and the person who drives the Audi in that order.\nClue 53: The person who likes Moonstones is immediately to the left of the dancer.\nClue 54: The person who drinks milk is the person who lives in the turquoise house.\nClue 55: The person who drinks lemonade is immediately to the left of the person who likes goats.\nClue 56: The person who supports the Detroit Lions is the person who drives the Yamaha.\nClue 57: The person who likes pizza is the teacher.\nClue 58: The person at the 5th position is the person who lives in the brown house.\nClue 59: The harp player is somewhere in between the person who owns a Gucci and the person who drives the Ferrari in that order.\nClue 60: The person who smokes Davidoff is somewhere in between the person who owns a Gucci and the drums player in that order.\nClue 61: The person who supports the Los Angeles Rams is at one of the ends.\nClue 62: The person who drinks lemonade is next to the person who likes coin collecting.\nClue 63: The person who smokes Marlboro is at one of the ends.\nClue 64: The person who supports the Los Angeles Rams is the person who drives the McLaren.\nClue 65: The person who supports the Knicks is somewhere in between the violin player and the person who supports the Tennessee Titans in that order.\nClue 66: The person who likes Sprite is the person who likes roses.\nClue 67: The person who owns a Kate Spade is somewhere in between the person who supports the Tennessee Titans and the person who owns a Polo Ralph Lauren in that order.\nClue 68: The person who likes Dr Pepper is immediately to the left of the person who likes daffodils.\nClue 69: The person who likes Jade is at one of the ends.\nClue 70: The person who supports the Suns is the person who supports the Tennessee Titans.\nClue 71: The person who drives the Audi is somewhere in between the person who supports the Denver Broncos and the person who smokes Marlboro in that order.\nClue 72: The person who likes tacos is at one of the ends.\nClue 73: The person who likes wood carving is somewhere to the left of the designer.\nClue 74: The person who likes paragliding is immediately to the left of the tennis player.\nClue 75: The person who drinks iced tea is the person who likes skiing.\nClue 76: The person who owns a Michael Kors is immediately to the left of the person who likes Powerade.\nClue 77: The person who supports the Knicks is next to the person who supports the Celtics.\nClue 78: The person who likes Mountain Dew is somewhere in between the soccer player and the person who likes daffodils in that order.\nClue 79: The person who likes sandwiches is next to the person who likes juggling.\nClue 80: The person who likes Powerade is the person who likes weight lifting.\nClue 81: The person who drives the Suzuki is at one of the ends.\nClue 82: The person who likes sandwiches is immediately to the left of the person who likes black bears.\nClue 83: The person who likes bungee jumping is at one of the ends.\nClue 84: The person who smokes Marlboro is the person who likes Powerade.\nClue 85: The person who owns a Coach is somewhere to the left of the tennis player.\nClue 86: The person who likes Coke is at one of the ends.\nClue 87: The person who supports the Los Angeles Rams is at one of the ends.\nClue 88: The person who likes scuba diving is the person who owns a Gucci.\nClue 89: The person who likes hiking is somewhere to the left of the person who owns a Michael Kors.\nClue 90: The table tennis player is somewhere to the left of the oboe player.\nClue 91: The person who drives the Tesla is somewhere in between the person who likes scuba diving and the person who drives the Audi in that order.\nClue 92: The cello player is somewhere in between the person who supports the Tennessee Titans and the person who likes orchids in that order.\nClue 93: The flute player is somewhere in between the person who supports the Los Angeles Rams and the person who likes begonias in that order.\nClue 94: The person who smokes Newport is the person who supports the Tennessee Titans.\nClue 95: The badminton player is not the person who smokes Winston.\nClue 96: The person who smokes Newport is not the person who drives the Audi.\nClue 97: The person who likes noodles is the actor.\nClue 98: The flute player is somewhere in between the person who owns a Tumi and the volleyball player in that order.\nClue 99: The person who likes juggling is the person who likes pizza.\nClue 100: The person who likes Mountain Dew is the person who supports the Detroit Lions.\nClue 101: The person who smokes Winston is immediately to the left of the person who likes scuba diving.\nClue 102: The person who supports the Baltimore Ravens is the person who smokes Blue Master.\nClue 103: The violin player is not the person who smokes Salem.\nClue 104: The person who likes Mountain Dew is somewhere in between the person who drives the McLaren and the person who supports the Cavaliers in that order.\nClue 105: The person who drives the Benelli is somewhere to the left of the oboe player.\nClue 106: The person who lives in the black house is immediately to the left of the person who drinks iced tea.\nClue 107: The person who likes roses is not the oboe player.\nClue 108: The person who likes Sprite is not the harp player.\nClue 109: The person who drives the Yamaha is the harp player.\nClue 110: The person who likes wood carving is the person who likes pasta.\nClue 111: The person who likes paragliding is the person who drives the Audi.\nClue 112: The person who drinks water is next to the person at the 6th position.\nClue 113: The person who owns a Coach is somewhere in between the person who drives the McLaren and the person who smokes Newport in that order.\nClue 114: The person who drinks coffee is the person who likes black bears.\nClue 115: The person who lives in the violet house is immediately to the left of the person who drinks water.\nClue 116: The person who drinks iced tea is the dancer.\nClue 117: The person who supports the Knicks is next to the person who drives the Bajaj.\nClue 118: The person who likes begonias is not the person who drives the Hyundai.\nClue 119: The person who likes swimming is next to the person who drives the Bajaj.\nClue 120: The person who likes ferrets is the person who drinks lemonade.\nClue 121: The person who supports the Cavaliers is not the person who likes Coke.\nClue 122: The person who owns a Michael Kors is immediately to the left of the tennis player.\nClue 123: The person who owns a Michael Kors is somewhere in between the person who supports the Lakers and the person who likes orchids in that order.\nClue 124: The chef is next to the person who drinks orange juice.\nClue 125: The person who lives in the magenta house is next to the person who likes moose.\nClue 126: The person who likes dugongs is at one of the ends.\nClue 127: The person who likes Sprite is not the person who drives the Tesla.\nClue 128: The tennis player is not the person who supports the San Francisco 49ers.\nClue 129: The person who likes pizza is the person who lives in the indigo house.\nClue 130: The person who drives the Bajaj is the person who likes roses.\nClue 131: The person who lives in the black house is the person who drinks orange juice.\nClue 132: The saxophone player is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 133: The person who supports the San Francisco 49ers is not the person who drives the Lexus.\nClue 134: The person who drives the Bajaj is the person who drives the Lexus.\nClue 135: The actor is immediately to the left of the person who likes monkeys.\nClue 136: The person who likes daisies is at one of the ends.\nClue 137: The person who likes begonias is immediately to the left of the person who drives the Ferrari.\nClue 138: The person who likes hiking is next to the person who likes Mountain Dew.\nClue 139: The person who likes moose is immediately to the left of the person who lives in the brown house.\nClue 140: The person who supports the San Francisco 49ers is somewhere in between the person who likes 7up and the person who supports the Cavaliers in that order.\n\nQuestion: What position is the actor at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:020", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different profession: singer, writer, spy, athlete, artist.\nEveryone likes a different physical activity: biking, swimming, running, scuba diving, paragliding.\nEveryone is a different nationality: Nepali, Pakistani, Korean, Bangladeshi, Serbian.\nEveryone drives a different car: Audi, Mercedes, Toyota, BMW, Ford.\nEveryone has a different name: Mandy, Drew, Barbara, Jones, Michael.\nEveryone owns a different handbag brand: Polo Ralph Lauren, Versace, Gucci, Michael Kors, Dolce and Gabbana.\nEveryone likes a different type of flower: daffodils, lilies, daisies, marigolds, tulips.\nEveryone has a different favorite hobby: language learning, gardening, kayaking, cooking, camping.\nEveryone likes a different food: pizza, fried rice, sandwiches, curry, kebabs.\nEveryone likes a different fruit: blueberries, pears, blackberries, oranges, bananas.\nEveryone drives a different motorbike: Buell, Honda, Piaggio, Yamaha, Harley-Davidson.\nEveryone likes a different type of gemstone: Topaz, Moonstones, Diamonds, Gypsum, Opals.\nEveryone supports a different NFL team: Miami Dolphins, Arizona Cardinals, New England Patriots, Atlanta Falcons, Cincinnati Bengals.\nEveryone smokes a different cigarette: Blends, Blue Master, Dunhill, Davidoff, Salem.\nEveryone plays a different musical instrument: flute, harp, drums, saxophone, piano.\nEveryone supports a different NBA team: Knicks, Cavaliers, Hawks, Lakers, Bulls.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes kayaking is somewhere in between the person who likes Moonstones and the person who likes Opals in that order.\nClue 2: The person who eats blueberries is somewhere in between the person who likes gardening and the person who likes Gypsum in that order.\nClue 3: The person who drives the BMW is at one of the ends.\nClue 4: The person who eats pears is at one of the ends.\nClue 5: The person who likes sandwiches is somewhere to the left of the person who drives the Mercedes.\nClue 6: The saxophone player is the athlete.\nClue 7: The Korean is at one of the ends.\nClue 8: Mandy is immediately to the left of the person who likes Opals.\nClue 9: The person who likes gardening is immediately to the left of the person who likes language learning.\nClue 10: The singer is somewhere in between the person who likes kayaking and the person who likes kebabs in that order.\nClue 11: Jones is immediately to the left of the person who likes paragliding.\nClue 12: The artist is at one of the ends.\nClue 13: The person who likes cooking is at one of the ends.\nClue 14: The piano player is at one of the ends.\nClue 15: The person who likes biking is somewhere in between the harp player and the person who smokes Dunhill in that order.\nClue 16: The person who likes kayaking is somewhere to the left of the person who eats pears.\nClue 17: The person who likes Moonstones is somewhere to the left of the person who likes fried rice.\nClue 18: The person who drives the Piaggio is immediately to the left of the person who drives the Buell.\nClue 19: The flute player is not the person who likes running.\nClue 20: The person who supports the New England Patriots is somewhere in between the person who likes daffodils and the person who drives the Buell in that order.\nClue 21: Michael is not the person who likes fried rice.\nClue 22: The person who likes language learning is somewhere to the left of Drew.\nClue 23: The person who drives the Mercedes is at one of the ends.\nClue 24: The person who likes curry is the person who smokes Davidoff.\nClue 25: The person who likes Gypsum is the piano player.\nClue 26: The person who supports the Miami Dolphins is the person who drives the Piaggio.\nClue 27: The person who likes Topaz is somewhere to the left of the person who likes camping.\nClue 28: The person who likes paragliding is somewhere to the left of the singer.\nClue 29: The person who drives the BMW is the flute player.\nClue 30: The person who likes gardening is immediately to the left of the person who eats blueberries.\nClue 31: The person who likes biking is the person who drives the Toyota.\nClue 32: The person who owns a Dolce and Gabbana is somewhere in between the person who smokes Blue Master and the person who likes kebabs in that order.\nClue 33: The Serbian is the person at the 4th position.\nClue 34: Drew is at one of the ends.\nClue 35: The person who supports the Arizona Cardinals is next to the person who supports the Cavaliers.\nClue 36: The person who likes language learning is somewhere in between the person who likes Diamonds and the athlete in that order.\nClue 37: The person who likes Gypsum is the person who likes kebabs.\nClue 38: The person who supports the Bulls is next to the person who drives the Yamaha.\nClue 39: The person who smokes Davidoff is somewhere to the left of the spy.\nClue 40: The person who smokes Salem is immediately to the left of the person who likes biking.\nClue 41: The person who likes Diamonds is somewhere to the left of Barbara.\nClue 42: Michael is immediately to the left of the person who smokes Blends.\nClue 43: The person who supports the Bulls is somewhere in between the person who likes daffodils and the Serbian in that order.\nClue 44: The person who likes camping is the person who eats blackberries.\nClue 45: The flute player is not the person who eats blueberries.\nClue 46: The person who likes fried rice is somewhere in between the person who owns a Polo Ralph Lauren and the person who smokes Dunhill in that order.\nClue 47: The person who likes biking is not the person who eats oranges.\nClue 48: The person who smokes Blends is at one of the ends.\nClue 49: Jones is immediately to the left of the person who likes language learning.\nClue 50: The person who owns a Versace is at one of the ends.\nClue 51: The person who owns a Gucci is somewhere to the left of the person who likes Moonstones.\nClue 52: The person at the 4th position is immediately to the left of the person who likes daisies.\nClue 53: The person who likes language learning is somewhere in between the writer and the person who eats bananas in that order.\nClue 54: The person who likes biking is somewhere in between the flute player and the person who likes scuba diving in that order.\nClue 55: Drew is not the person who eats blackberries.\nClue 56: The person who eats bananas is not the person who likes gardening.\nClue 57: The person who supports the Lakers is the person who supports the Arizona Cardinals.\nClue 58: The person who smokes Salem is the person who likes language learning.\nClue 59: The person who likes gardening is at one of the ends.\nClue 60: The person who likes Opals is somewhere in between the person who owns a Michael Kors and the person who likes running in that order.\nClue 61: The person who drives the Buell is at one of the ends.\nClue 62: The person who likes curry is immediately to the left of the person who likes language learning.\nClue 63: The person who likes pizza is not Mandy.\nClue 64: The person who likes Moonstones is next to the person who eats bananas.\nClue 65: The saxophone player is somewhere in between the person who likes Moonstones and Michael in that order.\nClue 66: The person who eats pears is next to the drums player.\nClue 67: The person who owns a Gucci is not the person who likes paragliding.\nClue 68: The person who likes scuba diving is somewhere in between Barbara and the person who likes running in that order.\nClue 69: The person who owns a Polo Ralph Lauren is the person who likes paragliding.\nClue 70: The person who owns a Versace is the person who likes Gypsum.\nClue 71: The person who drives the BMW is at one of the ends.\nClue 72: The person who eats blackberries is not the person who likes fried rice.\nClue 73: The person who likes Topaz is not the person who drives the Audi.\nClue 74: The person who eats oranges is somewhere to the left of the person who smokes Dunhill.\nClue 75: The person who smokes Blue Master is somewhere in between the person who smokes Davidoff and the person who smokes Blends in that order.\nClue 76: The spy is not Drew.\nClue 77: The person who eats blackberries is somewhere to the left of the person who likes running.\nClue 78: The athlete is Mandy.\nClue 79: Drew is not the person who eats bananas.\nClue 80: The person who likes biking is not the person who likes Opals.\nClue 81: Mandy is somewhere in between the spy and the person who eats blackberries in that order.\nClue 82: The flute player is the person who eats oranges.\nClue 83: The piano player is at one of the ends.\nClue 84: The person who supports the Cavaliers is the person who supports the Atlanta Falcons.\nClue 85: The person who smokes Davidoff is not the singer.\nClue 86: The person who likes scuba diving is next to the person who owns a Michael Kors.\nClue 87: The singer is somewhere in between the person who drives the Toyota and Drew in that order.\nClue 88: The person who owns a Dolce and Gabbana is not the person who likes language learning.\nClue 89: The Pakistani is the person who likes lilies.\nClue 90: The drums player is not the person who likes pizza.\nClue 91: The person who likes daffodils is the Korean.\nClue 92: The person who drives the Audi is the person who likes Opals.\nClue 93: The person who likes biking is somewhere in between the person who likes Moonstones and the drums player in that order.\nClue 94: The person who eats bananas is somewhere in between Barbara and the person who owns a Dolce and Gabbana in that order.\nClue 95: The person who drives the Toyota is not the person who likes scuba diving.\nClue 96: The person who drives the Mercedes is at one of the ends.\nClue 97: The person who drives the Buell is next to the person who likes marigolds.\nClue 98: The piano player is not the person who likes language learning.\nClue 99: The singer is not the piano player.\nClue 100: The person who smokes Salem is next to the person who likes biking.\nClue 101: The saxophone player is the person who smokes Blue Master.\nClue 102: Jones is somewhere to the left of the person who smokes Blends.\nClue 103: The person who owns a Polo Ralph Lauren is somewhere to the left of the person who likes biking.\nClue 104: The person who eats bananas is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 105: The person who likes curry is the person who eats oranges.\nClue 106: The person who supports the Knicks is at one of the ends.\nClue 107: The person who smokes Salem is the person who likes pizza.\nClue 108: The person who likes biking is not the artist.\nClue 109: The person who supports the Atlanta Falcons is immediately to the left of the person who likes tulips.\nClue 110: The artist is the person who likes kebabs.\nClue 111: The person who owns a Gucci is immediately to the left of the person who likes language learning.\nClue 112: The person who likes curry is not the artist.\nClue 113: The person who owns a Gucci is not the person who eats bananas.\nClue 114: Mandy is somewhere in between the person who owns a Gucci and the person who likes cooking in that order.\nClue 115: The person who likes Opals is somewhere in between the person who likes Diamonds and the piano player in that order.\nClue 116: The person who drives the Mercedes is not the person who likes fried rice.\nClue 117: The artist is the person who likes Gypsum.\nClue 118: The person who drives the Honda is at one of the ends.\nClue 119: The Bangladeshi is somewhere in between the person who drives the Yamaha and the person who likes marigolds in that order.\n\nQuestion: What position is the person who supports the Cincinnati Bengals at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:024", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone plays a different musical instrument: piano, flute, drums, violin, oboe, saxophone, harp.\nEveryone has a different profession: spy, teacher, engineer, programmer, dancer, doctor, singer.\nEveryone drinks a different drink: lemonade, coffee, beer, orange juice, iced tea, iced coffee, tea.\nEveryone likes a different type of flower: marigolds, lilies, tulips, daisies, orchids, peonies, begonias.\nEveryone likes a different fruit: mangoes, kiwis, oranges, pears, bananas, strawberries, blackberries.\nEveryone supports a different NBA team: Knicks, Lakers, Mavericks, Hawks, Celtics, Bulls, Cavaliers.\nEveryone plays a different sport: baseball, volleyball, cricket, soccer, table tennis, tennis, badminton.\nEveryone likes a different physical activity: running, bungee jumping, hiking, biking, weight lifting, skiing, paragliding.\nEveryone smokes a different cigarette: Camel, Salem, Davidoff, Marlboro, Newport, Blue Master, Winston.\nEveryone likes a different food: kebabs, pizza, curry, fried rice, burgers, pasta, tacos.\nEveryone lives in a different colored house: magenta, green, black, grey, orange, white, beige.\nEveryone drives a different car: McLaren, Lexus, Hyundai, Tesla, BMW, Toyota, Honda.\nEveryone likes a different type of gemstone: Aquamarines, Diamonds, Obsidians, Opals, Sapphires, Amethysts, Dolomites.\nEveryone owns a different handbag brand: Kate Spade, Gucci, Tumi, Tory Burch, Michael Kors, Balenciaga, Dolce and Gabbana.\nEveryone supports a different NFL team: Kansas City Chiefs, Buffalo Bills, Detroit Lions, Dallas Cowboys, Chicago Bears, Miami Dolphins, Green Bay Packers.\nEveryone is a different nationality: Pakistani, Bulgarian, Russian, Sri Lankan, Indian, Iranian, Israeli.\nEveryone drives a different motorbike: Bajaj, Piaggio, Suzuki, Yamaha, Harley-Davidson, Kawasaki, Ducati.\nEveryone likes a different favorite animal: songbirds, sharks, otters, panthers, salmon, snails, zebras.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Chicago Bears is next to the spy.\nClue 2: The person who drives the McLaren is not the person who supports the Lakers.\nClue 3: The person who drinks iced tea is at one of the ends.\nClue 4: The person who likes Dolomites is the person who likes kebabs.\nClue 5: The soccer player is somewhere to the left of the piano player.\nClue 6: The person who likes salmon is next to the person who likes songbirds.\nClue 7: The person who likes zebras is not the person who smokes Davidoff.\nClue 8: The saxophone player is the tennis player.\nClue 9: The person who drinks beer is the person who likes marigolds.\nClue 10: The person who likes tacos is somewhere in between the oboe player and the person who owns a Tory Burch in that order.\nClue 11: The person who likes running is somewhere to the left of the person who drives the Hyundai.\nClue 12: The person who likes lilies is immediately to the left of the person who supports the Knicks.\nClue 13: The person who drives the Suzuki is the Indian.\nClue 14: The soccer player is immediately to the left of the person who likes hiking.\nClue 15: The person who likes sharks is the teacher.\nClue 16: The person who likes tulips is immediately to the left of the person who owns a Kate Spade.\nClue 17: The Pakistani is immediately to the left of the Sri Lankan.\nClue 18: The person who likes otters is at one of the ends.\nClue 19: The person who eats kiwis is immediately to the left of the person who supports the Knicks.\nClue 20: The person who eats mangoes is immediately to the left of the person who drives the McLaren.\nClue 21: The person who drinks tea is not the cricket player.\nClue 22: The person who likes pasta is the person who drinks iced tea.\nClue 23: The person who likes Diamonds is at one of the ends.\nClue 24: The person who smokes Salem is next to the person who drives the Ducati.\nClue 25: The person who likes pizza is the person who likes Diamonds.\nClue 26: The flute player is somewhere to the left of the person who likes Opals.\nClue 27: The person who likes otters is the doctor.\nClue 28: The person who likes marigolds is the soccer player.\nClue 29: The person who likes pasta is the person who drives the Tesla.\nClue 30: The piano player is not the person who likes paragliding.\nClue 31: The person who drinks tea is at one of the ends.\nClue 32: The person who drives the Kawasaki is the person who smokes Camel.\nClue 33: The person who eats bananas is at one of the ends.\nClue 34: The person who likes Opals is the person who likes marigolds.\nClue 35: The harp player is immediately to the left of the person who likes Diamonds.\nClue 36: The person who likes orchids is somewhere in between the person who supports the Bulls and the table tennis player in that order.\nClue 37: The person who likes Sapphires is not the person who likes kebabs.\nClue 38: The person who likes curry is somewhere in between the person who eats oranges and the harp player in that order.\nClue 39: The person who likes peonies is the badminton player.\nClue 40: The person who eats kiwis is the person who likes lilies.\nClue 41: The person who smokes Blue Master is the person who lives in the magenta house.\nClue 42: The person who drives the Hyundai is not the person who supports the Celtics.\nClue 43: The person who supports the Chicago Bears is next to the person who drives the Bajaj.\nClue 44: The person who likes Sapphires is somewhere in between the person who supports the Celtics and the person who likes fried rice in that order.\nClue 45: The person who likes paragliding is not the person who eats kiwis.\nClue 46: The person who likes running is not the person who drinks beer.\nClue 47: The cricket player is the person who drives the BMW.\nClue 48: The person who smokes Davidoff is somewhere in between the person who lives in the black house and the dancer in that order.\nClue 49: The person who likes peonies is next to the harp player.\nClue 50: The person who likes bungee jumping is not the person who likes Sapphires.\nClue 51: The person who likes Amethysts is somewhere in between the person who likes biking and the person who likes curry in that order.\nClue 52: The person who likes tacos is not the person who owns a Gucci.\nClue 53: The person who supports the Chicago Bears is immediately to the left of the person who likes songbirds.\nClue 54: The Indian is somewhere to the left of the person who lives in the grey house.\nClue 55: The person who owns a Dolce and Gabbana is not the person who likes burgers.\nClue 56: The person who likes fried rice is somewhere in between the person who likes lilies and the person who likes peonies in that order.\nClue 57: The person who owns a Dolce and Gabbana is at one of the ends.\nClue 58: The person who likes Sapphires is the person who drinks coffee.\nClue 59: The Iranian is somewhere to the left of the person who supports the Chicago Bears.\nClue 60: The person who likes peonies is not the person who likes biking.\nClue 61: The person who supports the Dallas Cowboys is somewhere in between the Pakistani and the person who drives the Ducati in that order.\nClue 62: The person who drives the Tesla is at one of the ends.\nClue 63: The person who likes orchids is the person who drinks iced coffee.\nClue 64: The person who likes skiing is immediately to the left of the person who drinks orange juice.\nClue 65: The Bulgarian is somewhere in between the person who supports the Chicago Bears and the person who supports the Green Bay Packers in that order.\nClue 66: The person who eats blackberries is somewhere in between the tennis player and the person who likes Sapphires in that order.\nClue 67: The person who eats oranges is somewhere in between the person who drinks iced coffee and the person who likes tulips in that order.\nClue 68: The person who drinks tea is at one of the ends.\nClue 69: The person who likes lilies is somewhere in between the person who likes weight lifting and the person who supports the Knicks in that order.\nClue 70: The person who likes zebras is immediately to the left of the person who lives in the black house.\nClue 71: The harp player is the person who drives the Honda.\nClue 72: The person who smokes Winston is immediately to the left of the person who likes snails.\nClue 73: The violin player is not the person who supports the Knicks.\nClue 74: The person who supports the Kansas City Chiefs is immediately to the left of the Russian.\nClue 75: The person who likes marigolds is somewhere in between the table tennis player and the person who owns a Michael Kors in that order.\nClue 76: The spy is immediately to the left of the person who likes otters.\nClue 77: The person who drinks beer is the person who likes fried rice.\nClue 78: The person who likes orchids is immediately to the left of the person who likes skiing.\nClue 79: The teacher is immediately to the left of the person who smokes Salem.\nClue 80: The person who supports the Kansas City Chiefs is at one of the ends.\nClue 81: The person who drives the Toyota is immediately to the left of the person who likes bungee jumping.\nClue 82: The person who drinks beer is next to the badminton player.\nClue 83: The saxophone player is at one of the ends.\nClue 84: The table tennis player is next to the person who owns a Gucci.\nClue 85: The person who supports the Mavericks is at one of the ends.\nClue 86: The tennis player is at one of the ends.\nClue 87: The person who drinks orange juice is somewhere to the left of the person who drives the Toyota.\nClue 88: The saxophone player is somewhere to the left of the oboe player.\nClue 89: The person who likes biking is at one of the ends.\nClue 90: The person who owns a Michael Kors is next to the person who likes Opals.\nClue 91: The saxophone player is at one of the ends.\nClue 92: The spy is next to the person who lives in the white house.\nClue 93: The person who likes Sapphires is next to the person who drinks beer.\nClue 94: The person who eats kiwis is not the person who supports the Celtics.\nClue 95: The person who likes paragliding is immediately to the left of the person who eats kiwis.\nClue 96: The person who likes Diamonds is at one of the ends.\nClue 97: The person who likes zebras is immediately to the left of the person who drives the Yamaha.\nClue 98: The flute player is the table tennis player.\nClue 99: The person who likes burgers is not the person who drinks iced tea.\nClue 100: The person who supports the Chicago Bears is the Indian.\nClue 101: The person who likes zebras is at one of the ends.\nClue 102: The person who drives the Tesla is somewhere to the left of the person who likes burgers.\nClue 103: The person who supports the Detroit Lions is the programmer.\nClue 104: The person who likes curry is the person who supports the Celtics.\nClue 105: The person who lives in the grey house is next to the person who drives the Ducati.\nClue 106: The person who owns a Michael Kors is at one of the ends.\nClue 107: The person who supports the Celtics is next to the person who drinks coffee.\nClue 108: The volleyball player is somewhere to the left of the person who eats pears.\nClue 109: The person who likes bungee jumping is somewhere to the left of the person who eats strawberries.\nClue 110: The person who likes paragliding is the person who eats blackberries.\nClue 111: The person who drives the Harley-Davidson is immediately to the left of the programmer.\nClue 112: The person who likes hiking is next to the person who likes bungee jumping.\nClue 113: The person who owns a Tumi is not the table tennis player.\nClue 114: The person who supports the Buffalo Bills is next to the person who lives in the grey house.\nClue 115: The person who drinks lemonade is not the person who likes Sapphires.\nClue 116: The person who likes Amethysts is next to the person who likes Obsidians.\nClue 117: The harp player is somewhere to the left of the person who likes pizza.\nClue 118: The flute player is not the person who likes weight lifting.\nClue 119: The person who likes marigolds is somewhere to the left of the person who eats strawberries.\nClue 120: The oboe player is not the person who likes pasta.\nClue 121: The person who eats strawberries is at one of the ends.\nClue 122: The person who drinks beer is immediately to the left of the person who likes Diamonds.\nClue 123: The person who likes Aquamarines is at one of the ends.\nClue 124: The person who smokes Newport is the person who drives the Ducati.\nClue 125: The violin player is immediately to the left of the person who likes paragliding.\nClue 126: The person who likes Dolomites is the person who drinks iced coffee.\nClue 127: The person who smokes Marlboro is next to the person who lives in the green house.\nClue 128: The person who likes tacos is somewhere in between the oboe player and the person who likes fried rice in that order.\nClue 129: The programmer is immediately to the left of the person who lives in the magenta house.\nClue 130: The person who likes burgers is not the volleyball player.\nClue 131: The person who drinks iced coffee is the person who drives the Lexus.\nClue 132: The person who supports the Chicago Bears is immediately to the left of the person who lives in the orange house.\nClue 133: The person who drives the Toyota is the person who likes Sapphires.\nClue 134: The singer is at one of the ends.\nClue 135: The person who drives the Suzuki is somewhere to the left of the person who smokes Camel.\nClue 136: The person who drives the Toyota is not the violin player.\nClue 137: The person who owns a Dolce and Gabbana is somewhere to the left of the person who likes bungee jumping.\nClue 138: The soccer player is the person who likes Opals.\n\nQuestion: What position is the person who drives the Bajaj at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:026", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different favorite soft drink: Mirinda, 7up, Canada Dry, Gatorade, Dr Pepper.\nEveryone supports a different NBA team: Suns, Mavericks, Celtics, Hawks, Cavaliers.\nEveryone drives a different car: Tesla, Audi, Honda, Ford, Hyundai.\nEveryone likes a different physical activity: snorkeling, scuba diving, swimming, bungee jumping, biking.\nEveryone lives in a different colored house: indigo, cyan, brown, silver, turquoise.\nEveryone has a different profession: designer, teacher, doctor, athlete, spy.\nEveryone smokes a different cigarette: Davidoff, Camel, Newport, Salem, Marlboro.\nEveryone likes a different type of gemstone: Aquamarines, Pearls, Gypsum, Amethysts, Ambers.\nEveryone drinks a different drink: hot chocolate, tea, orange juice, coffee, milk.\nEveryone plays a different sport: tennis, badminton, ice hockey, table tennis, soccer.\nEveryone reads a different genre of books: mystery, fantasy, magical realism, spiritual, short story.\nEveryone has a different favorite hobby: coin collecting, kayaking, astronomy, horse riding, wine making.\nEveryone has a different name: Yair, Randy, Michelle, Rajiv, Noah.\nEveryone plays a different musical instrument: drums, oboe, saxophone, harp, piano.\nEveryone supports a different NFL team: Tennessee Titans, Kansas City Chiefs, Miami Dolphins, Denver Broncos, Atlanta Falcons.\nEveryone is a different nationality: Swiss, Portuguese, Croatian, Israeli, Nepali.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Celtics is next to the person who smokes Newport.\nClue 2: The person who drives the Tesla is immediately to the left of Michelle.\nClue 3: The person who supports the Cavaliers is the person who smokes Davidoff.\nClue 4: The spy is next to the person who likes biking.\nClue 5: The person who supports the Tennessee Titans is somewhere in between the person who supports the Miami Dolphins and the person who smokes Salem in that order.\nClue 6: The soccer player is somewhere to the left of the person who drives the Ford.\nClue 7: The person who reads magical realism books is next to the person who reads spiritual books.\nClue 8: The person who smokes Marlboro is somewhere to the left of the person who supports the Denver Broncos.\nClue 9: The person who lives in the indigo house is next to the person who supports the Miami Dolphins.\nClue 10: The person who supports the Tennessee Titans is the person who likes 7up.\nClue 11: Michelle is not the person who drives the Tesla.\nClue 12: Noah is somewhere in between the person who reads magical realism books and the person who lives in the turquoise house in that order.\nClue 13: The soccer player is somewhere in between the person who likes Dr Pepper and the tennis player in that order.\nClue 14: The table tennis player is not the person who drives the Hyundai.\nClue 15: Rajiv is somewhere to the left of the person who drives the Tesla.\nClue 16: The person who likes Pearls is the person who drinks coffee.\nClue 17: The person who supports the Cavaliers is at one of the ends.\nClue 18: The person who supports the Suns is somewhere to the left of the person who supports the Cavaliers.\nClue 19: The person who likes Ambers is at one of the ends.\nClue 20: The person who likes Canada Dry is at one of the ends.\nClue 21: The designer is somewhere in between the saxophone player and the person who likes Ambers in that order.\nClue 22: The person who supports the Hawks is not Yair.\nClue 23: The person who likes Canada Dry is at one of the ends.\nClue 24: The person who likes 7up is the Swiss.\nClue 25: The person who likes 7up is immediately to the left of the person who drives the Tesla.\nClue 26: The person who smokes Salem is not the person who reads mystery books.\nClue 27: The person who supports the Hawks is somewhere to the left of the person who likes Canada Dry.\nClue 28: The person who supports the Cavaliers is at one of the ends.\nClue 29: The person who supports the Denver Broncos is somewhere in between the Swiss and the Nepali in that order.\nClue 30: The harp player is the athlete.\nClue 31: The person who likes scuba diving is at one of the ends.\nClue 32: The person who smokes Camel is not the person who reads spiritual books.\nClue 33: The person who smokes Marlboro is at one of the ends.\nClue 34: The person who lives in the turquoise house is next to Noah.\nClue 35: The person who likes kayaking is at one of the ends.\nClue 36: The person who supports the Tennessee Titans is somewhere in between Yair and Noah in that order.\nClue 37: The person who smokes Marlboro is next to the person who likes Mirinda.\nClue 38: The person who likes horse riding is not the person who supports the Suns.\nClue 39: The person who drives the Audi is at one of the ends.\nClue 40: The Israeli is immediately to the left of the person who supports the Mavericks.\nClue 41: The ice hockey player is at one of the ends.\nClue 42: The person who drives the Hyundai is the person who supports the Mavericks.\nClue 43: The person who supports the Cavaliers is at one of the ends.\nClue 44: The person at the 4th position is immediately to the left of the spy.\nClue 45: The person who smokes Salem is somewhere in between the person who likes wine making and the person who smokes Davidoff in that order.\nClue 46: The person who reads spiritual books is somewhere in between the person who drives the Ford and the person who likes astronomy in that order.\nClue 47: The spy is the person who drinks tea.\nClue 48: The person who smokes Marlboro is at one of the ends.\nClue 49: The person who drives the Audi is at one of the ends.\nClue 50: The person who lives in the indigo house is the person who likes coin collecting.\nClue 51: The person who likes Dr Pepper is immediately to the left of the person who likes Mirinda.\nClue 52: The person who likes 7up is not the tennis player.\nClue 53: The person who reads spiritual books is the person who likes horse riding.\nClue 54: The person who smokes Camel is somewhere in between the person who reads mystery books and the person who lives in the cyan house in that order.\nClue 55: The person who reads spiritual books is next to the person who supports the Cavaliers.\nClue 56: Yair is the person who supports the Mavericks.\nClue 57: The badminton player is not the person who supports the Cavaliers.\nClue 58: The person who lives in the silver house is not the Swiss.\nClue 59: The harp player is somewhere in between the person who likes swimming and the saxophone player in that order.\nClue 60: The tennis player is next to the person who lives in the turquoise house.\nClue 61: The person who reads magical realism books is next to the person who likes Mirinda.\nClue 62: The person who drives the Tesla is next to the Swiss.\nClue 63: The person who likes kayaking is not the person who reads fantasy books.\nClue 64: The person who drinks milk is somewhere to the left of the piano player.\nClue 65: The Croatian is not the person who supports the Celtics.\nClue 66: The badminton player is the person who drives the Ford.\nClue 67: The person who reads magical realism books is somewhere in between the person who supports the Mavericks and the person who reads spiritual books in that order.\nClue 68: The person who likes coin collecting is somewhere to the left of the person who supports the Atlanta Falcons.\nClue 69: The soccer player is not the person who likes Gatorade.\nClue 70: The person who reads spiritual books is the person who smokes Salem.\nClue 71: Randy is the person who reads short story books.\nClue 72: The person who likes biking is the person who likes Aquamarines.\nClue 73: The person who drinks milk is the person who likes Gypsum.\nClue 74: The person who drives the Hyundai is Yair.\nClue 75: The drums player is the person who drinks hot chocolate.\nClue 76: Noah is next to the person who drives the Audi.\nClue 77: The person who supports the Kansas City Chiefs is at one of the ends.\nClue 78: The person who likes horse riding is immediately to the left of the person who reads fantasy books.\nClue 79: The Israeli is at one of the ends.\nClue 80: The person who smokes Davidoff is next to the person who lives in the cyan house.\nClue 81: The person who lives in the brown house is somewhere to the left of the person who supports the Tennessee Titans.\nClue 82: Rajiv is somewhere in between the person who smokes Marlboro and the person who smokes Salem in that order.\nClue 83: The person who reads spiritual books is not the Swiss.\nClue 84: The ice hockey player is next to the Croatian.\nClue 85: The tennis player is the person who lives in the cyan house.\nClue 86: The person who supports the Mavericks is somewhere to the left of the person who drives the Audi.\nClue 87: The table tennis player is at one of the ends.\nClue 88: The person who likes wine making is immediately to the left of the person who likes 7up.\nClue 89: The Croatian is somewhere to the left of the ice hockey player.\nClue 90: The person who lives in the cyan house is not the person who smokes Davidoff.\nClue 91: Noah is next to the person who supports the Cavaliers.\nClue 92: The soccer player is the person who supports the Mavericks.\nClue 93: The ice hockey player is not the Portuguese.\nClue 94: The teacher is the person who drinks orange juice.\nClue 95: The person who supports the Suns is not the person who supports the Miami Dolphins.\nClue 96: The ice hockey player is not the person who supports the Celtics.\nClue 97: The person who likes astronomy is the Nepali.\nClue 98: The person who smokes Camel is not the Portuguese.\nClue 99: The person who likes horse riding is somewhere in between the person who lives in the indigo house and the person who supports the Cavaliers in that order.\nClue 100: The person who likes wine making is immediately to the left of the person who likes 7up.\nClue 101: The person who likes Gypsum is at one of the ends.\nClue 102: The person who likes Dr Pepper is at one of the ends.\nClue 103: Michelle is at one of the ends.\nClue 104: The person who lives in the brown house is next to the soccer player.\nClue 105: The person who likes astronomy is at one of the ends.\nClue 106: The Swiss is not the person who lives in the cyan house.\nClue 107: The person who reads mystery books is the person who likes Mirinda.\nClue 108: The person who lives in the silver house is not the person who smokes Salem.\nClue 109: The Swiss is not the person who drives the Hyundai.\nClue 110: The person who smokes Marlboro is not the Swiss.\nClue 111: The person who likes Mirinda is the person who lives in the silver house.\nClue 112: The person who supports the Kansas City Chiefs is the person who smokes Marlboro.\nClue 113: The person who supports the Tennessee Titans is immediately to the left of the person who supports the Hawks.\nClue 114: The person who likes snorkeling is not the teacher.\nClue 115: Yair is not the person who reads magical realism books.\nClue 116: Noah is the tennis player.\n\nQuestion: What position is the person who likes Pearls at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:031", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different favorite soft drink: Fanta, Gatorade, Pepsi, Coke, Mountain Dew.\nEveryone smokes a different cigarette: Blends, Pall Mall, Salem, Marlboro, Newport.\nEveryone has a different favorite hobby: juggling, painting, cooking, language learning, beekeeping.\nEveryone likes a different type of gemstone: Dolomites, Gypsum, Rubies, Sapphires, Emeralds.\nEveryone plays a different sport: basketball, squash, cricket, soccer, baseball.\nEveryone drives a different motorbike: Yamaha, Honda, Piaggio, Bajaj, Suzuki.\nEveryone drinks a different drink: iced coffee, water, beer, coffee, hot chocolate.\nEveryone likes a different food: pasta, burgers, soups, kebabs, sandwiches.\nEveryone likes a different physical activity: biking, base jumping, running, scuba diving, snorkeling.\nEveryone plays a different musical instrument: oboe, saxophone, cello, flute, violin.\nEveryone has a different name: Barbara, Maven, Rafael, Mohan, Alex.\nEveryone supports a different NBA team: Bucks, Bulls, Mavericks, Knicks, Lakers.\nEveryone drives a different car: Toyota, Tesla, Audi, BMW, Ferrari.\nEveryone supports a different NFL team: Chicago Bears, Seattle Seahawks, Carolina Panthers, Green Bay Packers, Philadelphia Eagles.\nEveryone likes a different favorite animal: panthers, fangtooths, dolphins, geese, swallows.\nEveryone likes a different type of flower: peonies, orchids, marigolds, roses, tulips.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drinks coffee is not the person who likes peonies.\nClue 2: The person who likes snorkeling is at one of the ends.\nClue 3: The person who likes Fanta is the person who likes Gypsum.\nClue 4: The person who smokes Newport is at one of the ends.\nClue 5: The person who smokes Marlboro is somewhere in between the person who supports the Lakers and the person who likes Dolomites in that order.\nClue 6: The person who supports the Bucks is somewhere to the left of the person who likes kebabs.\nClue 7: The person who smokes Newport is not the person who drives the Ferrari.\nClue 8: The person who likes Fanta is the person who drives the Toyota.\nClue 9: The person at the 5th position is next to the cricket player.\nClue 10: The person who drives the Honda is next to the person who likes peonies.\nClue 11: The person who likes Rubies is at one of the ends.\nClue 12: The person who supports the Carolina Panthers is at one of the ends.\nClue 13: The person who supports the Knicks is somewhere in between the person who drives the Tesla and the person who smokes Pall Mall in that order.\nClue 14: The cello player is the person who likes swallows.\nClue 15: The person who likes Pepsi is the person who supports the Bucks.\nClue 16: The person who drinks beer is the person who smokes Newport.\nClue 17: The person who likes Emeralds is somewhere to the left of the person who likes soups.\nClue 18: The person who drives the BMW is the person who drinks beer.\nClue 19: The person who drives the Audi is the person who likes beekeeping.\nClue 20: The person who likes tulips is somewhere in between the person who smokes Marlboro and the person who likes language learning in that order.\nClue 21: The person who likes Sapphires is immediately to the left of the person who likes orchids.\nClue 22: The person who likes language learning is at one of the ends.\nClue 23: The person who likes Sapphires is somewhere in between the person who drives the BMW and the person who supports the Green Bay Packers in that order.\nClue 24: The person who supports the Seattle Seahawks is somewhere in between the person who likes Rubies and the person who supports the Chicago Bears in that order.\nClue 25: The person who likes Dolomites is somewhere in between the person who likes roses and the person who drives the Bajaj in that order.\nClue 26: The person who likes snorkeling is immediately to the left of the person who likes running.\nClue 27: The person who likes biking is somewhere to the left of the violin player.\nClue 28: The person who likes soups is somewhere in between the person who drives the Yamaha and the person who drinks water in that order.\nClue 29: The person who supports the Carolina Panthers is the person who likes peonies.\nClue 30: The person who drinks iced coffee is not the person who supports the Lakers.\nClue 31: The saxophone player is next to the person who likes biking.\nClue 32: The flute player is the squash player.\nClue 33: The person who likes Gatorade is somewhere to the left of the person who drives the Yamaha.\nClue 34: The person who likes beekeeping is next to the person who smokes Salem.\nClue 35: The person who drives the Piaggio is not the person who supports the Chicago Bears.\nClue 36: The person who likes pasta is not the person who smokes Newport.\nClue 37: The person who smokes Salem is somewhere in between the person who drives the Yamaha and the person who supports the Mavericks in that order.\nClue 38: The person who likes Mountain Dew is next to the person who supports the Carolina Panthers.\nClue 39: Mohan is somewhere in between the person who likes swallows and Rafael in that order.\nClue 40: The person who drives the Tesla is somewhere to the left of the person who likes kebabs.\nClue 41: The person who drinks water is the person who drives the Bajaj.\nClue 42: The person who smokes Newport is next to the person who smokes Blends.\nClue 43: The person who likes Rubies is immediately to the left of the person who likes pasta.\nClue 44: The person who likes panthers is somewhere to the left of the person who likes running.\nClue 45: The person who supports the Knicks is somewhere to the left of the person who smokes Pall Mall.\nClue 46: The cello player is the basketball player.\nClue 47: The person who likes biking is immediately to the left of the person who likes base jumping.\nClue 48: The person who drives the Tesla is immediately to the left of the person who likes Emeralds.\nClue 49: The person who drives the Piaggio is somewhere to the left of the person who drives the Honda.\nClue 50: The person who drinks beer is somewhere to the left of the person who drinks hot chocolate.\nClue 51: The person who likes marigolds is next to the person who supports the Seattle Seahawks.\nClue 52: The person who supports the Philadelphia Eagles is not the person who supports the Bulls.\nClue 53: The person who drinks iced coffee is somewhere to the left of the person who likes peonies.\nClue 54: The person who likes pasta is immediately to the left of the person who likes orchids.\nClue 55: The person who drives the Suzuki is somewhere in between the person who smokes Newport and the person who likes Mountain Dew in that order.\nClue 56: The person who likes Emeralds is somewhere in between the person who supports the Seattle Seahawks and the person who likes peonies in that order.\nClue 57: The person who likes burgers is immediately to the left of the person who drives the Suzuki.\nClue 58: The person who drinks hot chocolate is somewhere to the left of the person who smokes Pall Mall.\nClue 59: The person who smokes Blends is immediately to the left of the person who drinks coffee.\nClue 60: The person who likes orchids is next to the person who likes painting.\nClue 61: The person who drinks beer is at one of the ends.\nClue 62: The person who drinks coffee is not the person who likes soups.\nClue 63: The person who likes Sapphires is not the person who supports the Bulls.\nClue 64: The person who likes Dolomites is not the person who drives the Piaggio.\nClue 65: The person who smokes Salem is somewhere in between the person who likes cooking and the person who drinks water in that order.\nClue 66: The person who likes pasta is somewhere to the left of the person who drives the Honda.\nClue 67: The person who drives the Suzuki is somewhere to the left of the person who likes Gypsum.\nClue 68: The person who likes snorkeling is the flute player.\nClue 69: The person who likes Sapphires is somewhere in between the person who likes burgers and the person who drives the Yamaha in that order.\nClue 70: The person who drinks hot chocolate is next to the person who smokes Marlboro.\nClue 71: The person who likes sandwiches is the person who supports the Knicks.\nClue 72: The person who likes Mountain Dew is not the person who smokes Marlboro.\nClue 73: The person who likes roses is somewhere in between the person who supports the Philadelphia Eagles and the person who drives the Yamaha in that order.\nClue 74: The person who drives the Honda is next to the person who smokes Marlboro.\nClue 75: The person who drinks iced coffee is somewhere in between the person who likes roses and the person who drives the Toyota in that order.\nClue 76: The person who drives the Honda is not the person who smokes Marlboro.\nClue 77: The person who likes juggling is immediately to the left of the person who likes pasta.\nClue 78: The person who likes Mountain Dew is next to the person who likes Gypsum.\nClue 79: The baseball player is at one of the ends.\nClue 80: The person who smokes Blends is somewhere to the left of the person who likes kebabs.\nClue 81: The person who likes Mountain Dew is somewhere to the left of the person who supports the Carolina Panthers.\nClue 82: The person who smokes Newport is at one of the ends.\nClue 83: The person who likes dolphins is Barbara.\nClue 84: The person who drives the Yamaha is somewhere to the left of the person who drinks water.\nClue 85: The person who likes pasta is immediately to the left of the person who supports the Knicks.\nClue 86: The person who drinks iced coffee is the person who smokes Salem.\nClue 87: The person who drives the BMW is at one of the ends.\nClue 88: Mohan is the saxophone player.\nClue 89: The person who likes snorkeling is immediately to the left of the person who likes dolphins.\nClue 90: The person who likes juggling is at one of the ends.\nClue 91: The person who supports the Philadelphia Eagles is next to the person who drives the Suzuki.\nClue 92: The person who supports the Lakers is not the person who likes Emeralds.\nClue 93: The person who drives the BMW is somewhere to the left of the person who likes Fanta.\nClue 94: The person who smokes Blends is somewhere in between the person who drinks beer and the person who likes sandwiches in that order.\nClue 95: The person who smokes Newport is somewhere to the left of the person who likes kebabs.\nClue 96: The person who drives the Audi is not the person who likes painting.\nClue 97: The person who likes Gypsum is at one of the ends.\nClue 98: The person who likes Fanta is the person who supports the Mavericks.\nClue 99: The baseball player is the person who likes fangtooths.\nClue 100: The person who supports the Knicks is the person who likes sandwiches.\nClue 101: The flute player is Maven.\nClue 102: The person who likes Mountain Dew is somewhere to the left of the person who drives the Bajaj.\nClue 103: The person who likes burgers is at one of the ends.\nClue 104: The person who likes marigolds is not the person who likes Gypsum.\nClue 105: The person who supports the Mavericks is the person who likes peonies.\nClue 106: The person who drives the Honda is somewhere in between the person who likes sandwiches and the person who drinks water in that order.\nClue 107: The person who drives the Toyota is the person who drives the Bajaj.\nClue 108: The person who likes soups is the person who likes Dolomites.\nClue 109: The person who smokes Marlboro is the person who likes sandwiches.\nClue 110: The person who likes Gypsum is the person who drives the Toyota.\nClue 111: The person who drives the Honda is somewhere to the left of the person who likes Fanta.\nClue 112: The person who likes Mountain Dew is not the person who likes peonies.\nClue 113: The person who likes cooking is next to the person who likes marigolds.\nClue 114: The person who drives the Suzuki is next to the person who likes Pepsi.\nClue 115: The person who supports the Seattle Seahawks is immediately to the left of the person who supports the Green Bay Packers.\nClue 116: The person who likes orchids is the person who drinks coffee.\nClue 117: The person who smokes Blends is the person who supports the Lakers.\nClue 118: The person who likes language learning is not the person who likes soups.\n\nQuestion: What position is the cricket player at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:032", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different profession: actor, writer, engineer, singer, programmer, architect, artist.\nEveryone plays a different sport: tennis, squash, baseball, soccer, ice hockey, table tennis, basketball.\nEveryone has a different favorite hobby: canoeing, cooking, camping, kayaking, juggling, coin collecting, wine making.\nEveryone has a different name: Ahmed, Katherine, Joseph, Barbara, Mallika, Ali, Wang.\nEveryone drinks a different drink: iced tea, water, hot chocolate, milk, coffee, lemonade, orange juice.\nEveryone likes a different favorite animal: lions, wolverines, dragonflies, viperfish, cats, puffins, carp.\nEveryone drives a different motorbike: Piaggio, Suzuki, Harley-Davidson, Bajaj, Benelli, Ducati, Buell.\nEveryone likes a different type of flower: roses, tulips, peonies, begonias, daffodils, lilies, orchids.\nEveryone has a different favorite soft drink: Fanta, Powerade, 7up, Limca, Mirinda, Canada Dry, Dr Pepper.\nEveryone is a different nationality: Bulgarian, Russian, German, Israeli, Nepali, Malaysian, Portuguese.\nEveryone drives a different car: Hyundai, McLaren, BMW, Tesla, Ford, Kia, Audi.\nEveryone supports a different NBA team: Bucks, Mavericks, Suns, Knicks, Warriors, Lakers, Cavaliers.\nEveryone supports a different NFL team: Denver Broncos, Dallas Cowboys, Seattle Seahawks, Chicago Bears, Los Angeles Rams, Atlanta Falcons, Carolina Panthers.\nEveryone likes a different food: curry, soups, noodles, burgers, tacos, fried rice, sandwiches.\nEveryone reads a different genre of books: history, mystery, spiritual, fantasy, magical realism, science fiction, humor.\nEveryone likes a different type of gemstone: Emeralds, Gypsum, Jade, Rubies, Corals, Pearls, Sapphires.\nEveryone owns a different handbag brand: Tumi, Balenciaga, Tory Burch, Polo Ralph Lauren, Gucci, Kate Spade, Coach.\nEveryone smokes a different cigarette: Davidoff, Dunhill, Pall Mall, Camel, Winston, Newport, Blends.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Hyundai is somewhere to the left of the person who likes Sapphires.\nClue 2: The person who likes daffodils is next to the person who likes tacos.\nClue 3: The person who likes coin collecting is somewhere in between the Malaysian and the person who likes noodles in that order.\nClue 4: The person who likes carp is not the person who drives the Ford.\nClue 5: The person who owns a Polo Ralph Lauren is at one of the ends.\nClue 6: The person who supports the Suns is at one of the ends.\nClue 7: The soccer player is immediately to the left of the person at the 4th position.\nClue 8: The person who supports the Dallas Cowboys is somewhere in between the person who reads mystery books and the person who likes Sapphires in that order.\nClue 9: The person who likes Pearls is not the person who drives the Ford.\nClue 10: The person who drives the BMW is the architect.\nClue 11: The person who supports the Suns is somewhere to the left of the person who likes puffins.\nClue 12: The programmer is next to the person who supports the Bucks.\nClue 13: The squash player is the person who drives the Ducati.\nClue 14: The person who drinks hot chocolate is immediately to the left of Ahmed.\nClue 15: The Portuguese is at one of the ends.\nClue 16: The person who reads mystery books is next to the writer.\nClue 17: The person who supports the Denver Broncos is the person who reads mystery books.\nClue 18: The person who drinks orange juice is not the person who likes viperfish.\nClue 19: The person who drinks water is at one of the ends.\nClue 20: The squash player is the person who likes tulips.\nClue 21: The person who supports the Chicago Bears is somewhere to the left of the person who likes Corals.\nClue 22: The person who drives the BMW is not the person who likes carp.\nClue 23: The person who reads spiritual books is somewhere in between the person who supports the Seattle Seahawks and Ahmed in that order.\nClue 24: The person who drives the Kia is not the person who smokes Camel.\nClue 25: The person who likes Gypsum is somewhere in between the person who supports the Knicks and the person who supports the Mavericks in that order.\nClue 26: The person who likes lilies is immediately to the left of the Israeli.\nClue 27: The person who drives the Buell is immediately to the left of the Malaysian.\nClue 28: The person who likes cats is next to the person who likes Jade.\nClue 29: The Portuguese is the person who likes begonias.\nClue 30: The person who likes puffins is somewhere to the left of the person who supports the Bucks.\nClue 31: The person who likes cooking is next to the person who likes Fanta.\nClue 32: The person who likes Canada Dry is next to the person who likes kayaking.\nClue 33: The person who drives the Tesla is not the person who likes puffins.\nClue 34: The person who supports the Cavaliers is Mallika.\nClue 35: The person who drives the Tesla is next to the person who supports the Knicks.\nClue 36: The person who owns a Kate Spade is not the writer.\nClue 37: The person who supports the Atlanta Falcons is not the person who smokes Pall Mall.\nClue 38: The person at the 3rd position is the person who likes wine making.\nClue 39: The person who drives the Buell is the person who likes sandwiches.\nClue 40: The baseball player is the person who drives the Suzuki.\nClue 41: The person who smokes Pall Mall is somewhere in between the person who likes puffins and the person who smokes Newport in that order.\nClue 42: Ahmed is not the person who drives the Audi.\nClue 43: The person who drives the McLaren is at one of the ends.\nClue 44: The ice hockey player is the person who drives the Benelli.\nClue 45: Ali is the person who owns a Coach.\nClue 46: The person who smokes Davidoff is at one of the ends.\nClue 47: Ali is the person who drinks coffee.\nClue 48: The person who supports the Los Angeles Rams is somewhere in between the person who reads history books and the person who owns a Tumi in that order.\nClue 49: The person who drives the Kia is immediately to the left of the person who supports the Mavericks.\nClue 50: The singer is immediately to the left of the person who supports the Atlanta Falcons.\nClue 51: The programmer is at one of the ends.\nClue 52: The person who likes Gypsum is next to the person who likes lions.\nClue 53: Ali is at one of the ends.\nClue 54: The person who drinks milk is somewhere to the left of the person who reads humor books.\nClue 55: The person who supports the Cavaliers is the person who likes Corals.\nClue 56: The person who smokes Pall Mall is Katherine.\nClue 57: The person at the 2nd position is the person who likes Limca.\nClue 58: The person who smokes Dunhill is immediately to the left of the person who owns a Kate Spade.\nClue 59: The person who drives the Kia is the person who likes viperfish.\nClue 60: The person who smokes Winston is next to the person who reads spiritual books.\nClue 61: The person who likes viperfish is not the person who supports the Atlanta Falcons.\nClue 62: The person who owns a Balenciaga is somewhere to the left of the person who owns a Tumi.\nClue 63: The person who likes Sapphires is not the person who drives the Tesla.\nClue 64: The person who supports the Bucks is Ahmed.\nClue 65: The person who supports the Dallas Cowboys is the person who drives the Kia.\nClue 66: The person who drinks iced tea is immediately to the left of the singer.\nClue 67: The person who drives the Ducati is somewhere in between the person who likes camping and the person who likes soups in that order.\nClue 68: The person who supports the Los Angeles Rams is somewhere to the left of the person who drives the Audi.\nClue 69: The person who reads mystery books is the person who drinks hot chocolate.\nClue 70: The person who likes viperfish is somewhere in between the person who reads mystery books and the person who smokes Blends in that order.\nClue 71: The person who owns a Polo Ralph Lauren is not the person who likes Corals.\nClue 72: The person who drives the Bajaj is at one of the ends.\nClue 73: The engineer is at one of the ends.\nClue 74: The person who owns a Tory Burch is not the person who drinks water.\nClue 75: The person who likes burgers is at one of the ends.\nClue 76: The person who likes 7up is the person who likes peonies.\nClue 77: The person who supports the Bucks is not the person who smokes Camel.\nClue 78: The person who likes Emeralds is somewhere to the left of Wang.\nClue 79: The person who supports the Atlanta Falcons is immediately to the left of the actor.\nClue 80: The person who supports the Denver Broncos is not Barbara.\nClue 81: The person who reads spiritual books is not the person who likes Pearls.\nClue 82: The person who drives the Suzuki is the Russian.\nClue 83: The writer is not the person who smokes Dunhill.\nClue 84: The person who supports the Mavericks is the person who reads humor books.\nClue 85: The person who drinks water is Joseph.\nClue 86: The Nepali is the person who likes orchids.\nClue 87: The person who likes viperfish is somewhere in between the artist and the person who drinks water in that order.\nClue 88: The actor is not the person who drinks milk.\nClue 89: The person who likes Gypsum is the writer.\nClue 90: The person who drinks hot chocolate is immediately to the left of the person who smokes Newport.\nClue 91: The person who drinks lemonade is somewhere in between the person who likes Pearls and the programmer in that order.\nClue 92: The person who drinks milk is somewhere in between the person who drives the Tesla and the person who likes Sapphires in that order.\nClue 93: The Malaysian is next to the person who likes Fanta.\nClue 94: The person who supports the Los Angeles Rams is not the engineer.\nClue 95: The tennis player is at one of the ends.\nClue 96: The person who likes cooking is immediately to the left of the person who likes peonies.\nClue 97: The person who supports the Bucks is somewhere in between the person who owns a Kate Spade and the person who reads humor books in that order.\nClue 98: The person who likes wolverines is Ali.\nClue 99: The person who likes roses is next to the person who likes daffodils.\nClue 100: The person who reads history books is somewhere to the left of Barbara.\nClue 101: The person who reads humor books is not the person who drives the Kia.\nClue 102: The person who likes Canada Dry is immediately to the left of the person who likes sandwiches.\nClue 103: The person who likes noodles is immediately to the left of the baseball player.\nClue 104: The baseball player is immediately to the left of the person who likes Mirinda.\nClue 105: The person who supports the Knicks is not the person who reads history books.\nClue 106: The person who likes Gypsum is the person who likes viperfish.\nClue 107: Katherine is not the person who likes puffins.\nClue 108: Barbara is not the person who drives the McLaren.\nClue 109: The person who supports the Denver Broncos is the person who owns a Kate Spade.\nClue 110: The person who owns a Gucci is next to the artist.\nClue 111: The ice hockey player is the person who likes Canada Dry.\nClue 112: The person who reads fantasy books is somewhere in between the person who likes wolverines and the actor in that order.\nClue 113: The Russian is immediately to the left of the person who likes fried rice.\nClue 114: The person who likes Canada Dry is somewhere to the left of the person at the 2nd position.\nClue 115: The person who supports the Cavaliers is immediately to the left of the architect.\nClue 116: The table tennis player is the person at the 2nd position.\nClue 117: The person who drives the Kia is somewhere in between the person who supports the Atlanta Falcons and the person who drives the Audi in that order.\nClue 118: The person who likes Gypsum is not Mallika.\nClue 119: The person who likes soups is immediately to the left of the person who likes fried rice.\nClue 120: The German is at one of the ends.\nClue 121: The person who drinks coffee is at one of the ends.\nClue 122: The person who drives the BMW is immediately to the left of the person who smokes Pall Mall.\nClue 123: The person who reads humor books is at one of the ends.\nClue 124: The person who drives the Ducati is immediately to the left of the person at the 5th position.\nClue 125: The person who smokes Dunhill is immediately to the left of the person who likes Jade.\nClue 126: The person who reads spiritual books is not Barbara.\nClue 127: The writer is immediately to the left of the person who supports the Mavericks.\nClue 128: The person who drinks water is not the artist.\nClue 129: The person who supports the Mavericks is at one of the ends.\nClue 130: The engineer is the person who supports the Suns.\nClue 131: The person who supports the Lakers is somewhere to the left of the person who likes lions.\nClue 132: The person who likes roses is immediately to the left of the person who likes Powerade.\nClue 133: Barbara is next to Mallika.\nClue 134: The person who reads humor books is at one of the ends.\nClue 135: The person who likes juggling is next to the person who likes orchids.\nClue 136: The person who drives the Hyundai is the person who supports the Chicago Bears.\nClue 137: Mallika is immediately to the left of Barbara.\nClue 138: The person who drives the Tesla is not the person who drinks water.\nClue 139: The person who likes daffodils is somewhere in between the table tennis player and the person who drives the Harley-Davidson in that order.\n\nQuestion: What position is the person who drives the Harley-Davidson at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:034", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone has a different favorite hobby: skiing, wine making, language learning, knitting, video games, pottery.\nEveryone lives in a different colored house: blue, cyan, magenta, pink, green, grey.\nEveryone has a different name: Michelle, Barbara, Mandy, Tao, Bob, Mallika.\nEveryone plays a different musical instrument: cello, harmonica, flute, piano, drums, violin.\nEveryone plays a different sport: ice hockey, soccer, cricket, volleyball, badminton, tennis.\nEveryone reads a different genre of books: science fiction, fantasy, spiritual, short story, humor, magical realism.\nEveryone drinks a different drink: water, iced coffee, iced tea, beer, milk, lemonade.\nEveryone likes a different food: pasta, kebabs, tacos, burgers, fried rice, soups.\nEveryone drives a different motorbike: Bajaj, Harley-Davidson, Ducati, Yamaha, Benelli, Kawasaki.\nEveryone likes a different favorite animal: wolves, dragonflies, leopards, butterflies, storks, jellyfish.\nEveryone likes a different physical activity: swimming, scuba diving, hiking, snorkeling, running, bungee jumping.\nEveryone supports a different NBA team: Mavericks, Celtics, Cavaliers, Bucks, Knicks, Warriors.\nEveryone drives a different car: Tesla, Ferrari, Kia, Honda, Mercedes, BMW.\nEveryone smokes a different cigarette: Blends, Dunhill, Salem, Marlboro, Davidoff, Winston.\nEveryone likes a different fruit: strawberries, oranges, mangoes, grapes, blackberries, blueberries.\nEveryone likes a different type of gemstone: Dolomites, Rubies, Amethysts, Ambers, Aquamarines, Topaz.\nEveryone supports a different NFL team: Kansas City Chiefs, Baltimore Ravens, Chicago Bears, Carolina Panthers, Miami Dolphins, Tennessee Titans.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Tesla is next to the person who likes pasta.\nClue 2: The person who drinks iced coffee is immediately to the left of the badminton player.\nClue 3: The person who likes soups is not the drums player.\nClue 4: The person who reads short story books is somewhere in between the person who likes Amethysts and the person who likes kebabs in that order.\nClue 5: The person who smokes Davidoff is immediately to the left of the person who likes tacos.\nClue 6: The person who likes Ambers is at one of the ends.\nClue 7: The person who drives the Kawasaki is at one of the ends.\nClue 8: The person who drives the Yamaha is not the harmonica player.\nClue 9: The person who drives the Benelli is not the person who smokes Blends.\nClue 10: The person who likes fried rice is immediately to the left of the person who supports the Bucks.\nClue 11: The person who supports the Celtics is somewhere to the left of the person who likes Dolomites.\nClue 12: The flute player is somewhere in between the person who likes Topaz and the person who lives in the magenta house in that order.\nClue 13: The harmonica player is not the person who likes pottery.\nClue 14: The person who eats mangoes is the person who drinks iced coffee.\nClue 15: The person who likes Dolomites is somewhere in between the person who lives in the pink house and the person who lives in the blue house in that order.\nClue 16: The person who drives the Mercedes is next to the person who smokes Marlboro.\nClue 17: The person who eats grapes is immediately to the left of the person who supports the Chicago Bears.\nClue 18: The person who supports the Tennessee Titans is immediately to the left of the person who supports the Kansas City Chiefs.\nClue 19: The person who likes Ambers is at one of the ends.\nClue 20: The person who supports the Carolina Panthers is the person who eats blueberries.\nClue 21: The person who drinks iced tea is the ice hockey player.\nClue 22: The person who likes Ambers is at one of the ends.\nClue 23: The person who smokes Blends is somewhere to the left of the person who likes kebabs.\nClue 24: The tennis player is not the person who likes dragonflies.\nClue 25: The person who likes hiking is somewhere to the left of the person who lives in the green house.\nClue 26: The person who drives the Honda is not the person who lives in the pink house.\nClue 27: The person who drives the BMW is the cello player.\nClue 28: The person who likes scuba diving is at one of the ends.\nClue 29: The badminton player is the person who supports the Carolina Panthers.\nClue 30: The person who drives the Tesla is somewhere in between the person who likes video games and the person who smokes Winston in that order.\nClue 31: The person who likes fried rice is somewhere to the left of the person who likes Ambers.\nClue 32: The person who smokes Blends is somewhere in between the person who supports the Mavericks and the person who likes language learning in that order.\nClue 33: The person who lives in the cyan house is somewhere in between the person who likes skiing and the piano player in that order.\nClue 34: The person who likes jellyfish is next to Bob.\nClue 35: The person who smokes Dunhill is not the person who drives the Mercedes.\nClue 36: The person who likes bungee jumping is somewhere to the left of the person who drives the Mercedes.\nClue 37: The cello player is next to the person who lives in the pink house.\nClue 38: The person who supports the Baltimore Ravens is at one of the ends.\nClue 39: The soccer player is next to the cricket player.\nClue 40: The person who likes dragonflies is at one of the ends.\nClue 41: The flute player is the person who drives the Tesla.\nClue 42: The person who reads science fiction books is not the person who lives in the magenta house.\nClue 43: The person who smokes Marlboro is somewhere in between the person who likes kebabs and the piano player in that order.\nClue 44: The person who likes skiing is at one of the ends.\nClue 45: The person who smokes Blends is somewhere in between the person who likes hiking and the flute player in that order.\nClue 46: The person who likes burgers is somewhere to the left of the drums player.\nClue 47: The harmonica player is somewhere in between the person who likes burgers and the person who supports the Bucks in that order.\nClue 48: The person who lives in the magenta house is not the person who reads fantasy books.\nClue 49: The person who drives the Ducati is somewhere in between the person who lives in the green house and the person who smokes Winston in that order.\nClue 50: The person who likes Ambers is the person who likes pottery.\nClue 51: The person who drives the Harley-Davidson is somewhere in between the violin player and the person who likes Ambers in that order.\nClue 52: The person who smokes Marlboro is somewhere to the left of the person who likes pasta.\nClue 53: The person who likes butterflies is Mallika.\nClue 54: The person who likes burgers is at one of the ends.\nClue 55: The person who smokes Winston is not the person who drives the Yamaha.\nClue 56: The person who likes running is not the person who likes pasta.\nClue 57: The person who drives the Ducati is somewhere in between the person who lives in the green house and the person who likes scuba diving in that order.\nClue 58: The person who likes tacos is next to the person who likes running.\nClue 59: The person who likes fried rice is the person who supports the Celtics.\nClue 60: The drums player is not the person who lives in the blue house.\nClue 61: Barbara is not the soccer player.\nClue 62: The person who reads science fiction books is next to the person who lives in the green house.\nClue 63: The person who likes Amethysts is not the person who reads short story books.\nClue 64: The person who reads spiritual books is next to the person who likes tacos.\nClue 65: The person who likes Topaz is not the person who likes wine making.\nClue 66: Bob is the person who eats blueberries.\nClue 67: The person who supports the Cavaliers is at one of the ends.\nClue 68: The ice hockey player is next to Tao.\nClue 69: The person who likes language learning is somewhere to the left of the person who drives the Benelli.\nClue 70: The person who supports the Cavaliers is not the person who lives in the blue house.\nClue 71: The person who drives the Tesla is next to the person who likes kebabs.\nClue 72: The person who likes jellyfish is somewhere in between Mallika and the person who drinks lemonade in that order.\nClue 73: The person who drives the Yamaha is not the harmonica player.\nClue 74: The person who likes wolves is Tao.\nClue 75: The person who drives the Tesla is the person who smokes Marlboro.\nClue 76: The person who smokes Marlboro is not the person who likes Amethysts.\nClue 77: The person who drives the Tesla is somewhere to the left of the person who lives in the magenta house.\nClue 78: The person who eats strawberries is next to the soccer player.\nClue 79: The person who smokes Davidoff is not the person who drives the Mercedes.\nClue 80: The person who drives the Mercedes is at one of the ends.\nClue 81: The person who likes wolves is immediately to the left of the person who drinks water.\nClue 82: The person who supports the Carolina Panthers is the person at the 4th position.\nClue 83: The person who likes Rubies is the person who drives the Tesla.\nClue 84: The person who likes video games is somewhere to the left of the person who drives the BMW.\nClue 85: The person who drives the Harley-Davidson is somewhere to the left of the person who likes scuba diving.\nClue 86: The person who likes butterflies is the ice hockey player.\nClue 87: The person who likes swimming is at one of the ends.\nClue 88: The person who smokes Marlboro is somewhere in between the person who likes running and the person who smokes Winston in that order.\nClue 89: The person who drinks lemonade is the person who likes storks.\nClue 90: The violin player is not the person who drives the Benelli.\nClue 91: The person who likes swimming is at one of the ends.\nClue 92: The person who supports the Mavericks is the person who drives the Harley-Davidson.\nClue 93: The person who reads science fiction books is the person who drives the Tesla.\nClue 94: The person who likes bungee jumping is next to the person who drives the Benelli.\nClue 95: The person who likes running is somewhere in between the person who drives the Kia and the person who drives the Tesla in that order.\nClue 96: The person who drives the Kia is the person who lives in the pink house.\nClue 97: Bob is somewhere in between the person who likes wolves and the person who drinks beer in that order.\nClue 98: The person who eats blackberries is immediately to the left of Mallika.\nClue 99: The person who eats oranges is next to the person who drinks beer.\nClue 100: Mandy is somewhere to the left of the person who likes butterflies.\nClue 101: The person who likes pasta is at one of the ends.\nClue 102: The person who likes soups is immediately to the left of the person who likes fried rice.\nClue 103: The person who likes Dolomites is not the person who lives in the cyan house.\nClue 104: The person who likes wolves is immediately to the left of the badminton player.\nClue 105: The person who smokes Winston is the piano player.\nClue 106: The person who likes bungee jumping is somewhere in between the cello player and the person who drives the Benelli in that order.\nClue 107: The person who drives the Tesla is somewhere in between the person who drives the BMW and the person who likes Ambers in that order.\nClue 108: The violin player is the person who likes burgers.\nClue 109: The person who likes pottery is not the person who likes fried rice.\nClue 110: The person who supports the Celtics is immediately to the left of the person who reads humor books.\nClue 111: The person who drives the BMW is somewhere in between the person who likes video games and the flute player in that order.\nClue 112: The person who likes running is the person who smokes Davidoff.\nClue 113: The person who lives in the grey house is immediately to the left of the person who smokes Salem.\nClue 114: The person who smokes Dunhill is somewhere to the left of the person who supports the Mavericks.\nClue 115: The person who likes tacos is immediately to the left of the person who likes Ambers.\nClue 116: The person who supports the Mavericks is next to the person who likes Amethysts.\nClue 117: The person who supports the Kansas City Chiefs is immediately to the left of the person who supports the Chicago Bears.\nClue 118: The person who drives the Ducati is somewhere in between the person who reads humor books and the person who likes pasta in that order.\nClue 119: The person who likes Topaz is not the person who supports the Bucks.\nClue 120: The person who supports the Knicks is the person who likes pasta.\nClue 121: The person who drives the Yamaha is the person who drives the BMW.\nClue 122: The person who likes tacos is next to the person who likes pottery.\nClue 123: The person who reads short story books is the drums player.\nClue 124: The person who likes skiing is not the person who lives in the blue house.\nClue 125: The person who drives the Ferrari is at one of the ends.\nClue 126: The person who likes skiing is at one of the ends.\nClue 127: The person who likes soups is somewhere in between the person who reads fantasy books and the person who lives in the blue house in that order.\nClue 128: The person who drives the Yamaha is the person who reads humor books.\nClue 129: The person who reads humor books is not the person who likes pottery.\n\nQuestion: What position is Michelle at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:037", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite soft drink: Dr Pepper, Limca, Fanta, Mirinda, Mountain Dew, Pepsi, Coke.\nEveryone has a different favorite hobby: parkour, wine making, archery, knitting, juggling, kayaking, baking.\nEveryone likes a different favorite animal: parrots, grizzly bears, black bears, kiwis, panthers, kangaroos, mannikins.\nEveryone likes a different type of flower: marigolds, daisies, daffodils, tulips, peonies, dahlias, begonias.\nEveryone plays a different musical instrument: guitar, drums, oboe, harmonica, saxophone, cello, violin.\nEveryone likes a different type of gemstone: Gypsum, Aquamarines, Topaz, Diamonds, Corals, Ambers, Opals.\nEveryone plays a different sport: volleyball, ice hockey, squash, badminton, soccer, baseball, basketball.\nEveryone supports a different NBA team: Bulls, Lakers, Bucks, Celtics, Cavaliers, Knicks, Mavericks.\nEveryone owns a different handbag brand: Tory Burch, Balenciaga, Polo Ralph Lauren, Kate Spade, Versace, Dolce and Gabbana, Michael Kors.\nEveryone likes a different physical activity: swimming, hiking, base jumping, biking, scuba diving, snorkeling, paragliding.\nEveryone supports a different NFL team: Tennessee Titans, Dallas Cowboys, Buffalo Bills, Green Bay Packers, Atlanta Falcons, New England Patriots, Arizona Cardinals.\nEveryone lives in a different colored house: red, grey, blue, indigo, black, violet, brown.\nEveryone smokes a different cigarette: Blends, Winston, Salem, Pall Mall, Blue Master, Camel, Davidoff.\nEveryone drives a different motorbike: Ducati, Kawasaki, Bajaj, Suzuki, Benelli, Honda, Buell.\nEveryone is a different nationality: Hungarian, Portuguese, Iranian, Bulgarian, Sri Lankan, Australian, American.\nEveryone likes a different food: pizza, burgers, kebabs, tacos, fried rice, curry, soups.\nEveryone has a different profession: doctor, writer, dancer, engineer, actor, singer, artist.\nEveryone drives a different car: Tesla, McLaren, Audi, Ford, Ferrari, BMW, Mercedes.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes hiking is immediately to the left of the Hungarian.\nClue 2: The cello player is not the person who likes kayaking.\nClue 3: The Hungarian is the oboe player.\nClue 4: The person who likes daisies is the person who drives the Suzuki.\nClue 5: The person who likes Diamonds is somewhere to the left of the person who likes Topaz.\nClue 6: The person who lives in the indigo house is the Iranian.\nClue 7: The Portuguese is somewhere to the left of the Bulgarian.\nClue 8: The person who smokes Blends is next to the singer.\nClue 9: The person who drives the Suzuki is the person who lives in the indigo house.\nClue 10: The person who likes Corals is the person who owns a Dolce and Gabbana.\nClue 11: The writer is the Iranian.\nClue 12: The person who likes begonias is the person who likes snorkeling.\nClue 13: The person who likes kayaking is somewhere in between the person who likes biking and the person who drives the Honda in that order.\nClue 14: The person who likes Limca is at one of the ends.\nClue 15: The person who likes daisies is immediately to the left of the person who likes mannikins.\nClue 16: The person who lives in the brown house is the person who drives the Honda.\nClue 17: The person who likes scuba diving is the person who smokes Winston.\nClue 18: The person who lives in the grey house is the person who likes parkour.\nClue 19: The person who drives the Benelli is immediately to the left of the person who likes begonias.\nClue 20: The person who likes wine making is not the person who likes hiking.\nClue 21: The person who supports the Mavericks is immediately to the left of the person who likes Dr Pepper.\nClue 22: The person who drives the Bajaj is the person who smokes Pall Mall.\nClue 23: The dancer is not the person who smokes Salem.\nClue 24: The person who likes archery is not the person who smokes Winston.\nClue 25: The person who supports the Lakers is immediately to the left of the person who owns a Michael Kors.\nClue 26: The person who lives in the black house is at one of the ends.\nClue 27: The Hungarian is somewhere in between the person who likes parrots and the Iranian in that order.\nClue 28: The person who lives in the grey house is next to the person who supports the Dallas Cowboys.\nClue 29: The person who likes Opals is immediately to the left of the person who likes Topaz.\nClue 30: The person who supports the Bulls is at one of the ends.\nClue 31: The volleyball player is next to the soccer player.\nClue 32: The person who likes snorkeling is not the person who smokes Salem.\nClue 33: The person who likes kayaking is next to the person who smokes Blue Master.\nClue 34: The person who drives the Tesla is next to the person who likes tacos.\nClue 35: The person who lives in the indigo house is somewhere to the left of the person who likes grizzly bears.\nClue 36: The person who drives the BMW is the person who likes Diamonds.\nClue 37: The person who owns a Kate Spade is the person who drives the Ford.\nClue 38: The person who supports the Lakers is immediately to the left of the person who likes Pepsi.\nClue 39: The person who likes base jumping is next to the person who drives the Ducati.\nClue 40: The Australian is the person who likes tulips.\nClue 41: The actor is next to the person who likes peonies.\nClue 42: The person who drives the Mercedes is somewhere to the left of the person who drives the Tesla.\nClue 43: The person who likes swimming is the person who likes marigolds.\nClue 44: The person who smokes Salem is somewhere in between the Portuguese and the person who likes kayaking in that order.\nClue 45: The person who likes scuba diving is immediately to the left of the cello player.\nClue 46: The person who drives the Bajaj is not the person who lives in the grey house.\nClue 47: The person who likes wine making is at one of the ends.\nClue 48: The person who likes Dr Pepper is somewhere to the left of the person who drives the Audi.\nClue 49: The person who drives the Ford is immediately to the left of the person who owns a Versace.\nClue 50: The person who likes daffodils is at one of the ends.\nClue 51: The person who smokes Winston is somewhere to the left of the cello player.\nClue 52: The person who lives in the red house is the engineer.\nClue 53: The person who lives in the indigo house is not the singer.\nClue 54: The dancer is somewhere in between the person who lives in the black house and the Iranian in that order.\nClue 55: The person who owns a Polo Ralph Lauren is at one of the ends.\nClue 56: The dancer is not the person who lives in the black house.\nClue 57: The person who likes Aquamarines is immediately to the left of the person who supports the Bucks.\nClue 58: The Iranian is somewhere in between the person who likes black bears and the person who likes grizzly bears in that order.\nClue 59: The person who smokes Pall Mall is not the oboe player.\nClue 60: The baseball player is the person who likes Coke.\nClue 61: The person who drives the Tesla is the basketball player.\nClue 62: The person who likes Topaz is at one of the ends.\nClue 63: The person who likes burgers is next to the person who supports the Mavericks.\nClue 64: The person who supports the Green Bay Packers is the oboe player.\nClue 65: The person who likes base jumping is at one of the ends.\nClue 66: The person who likes fried rice is at one of the ends.\nClue 67: The person who likes hiking is the saxophone player.\nClue 68: The person who supports the Atlanta Falcons is the person who likes peonies.\nClue 69: The person who drives the Ducati is somewhere to the left of the person who lives in the brown house.\nClue 70: The person who likes mannikins is immediately to the left of the person who supports the Tennessee Titans.\nClue 71: The person who supports the Atlanta Falcons is the person who likes biking.\nClue 72: The person who likes Limca is somewhere to the left of the person who likes Dr Pepper.\nClue 73: The actor is immediately to the left of the person who likes archery.\nClue 74: The saxophone player is not the person who supports the Green Bay Packers.\nClue 75: The badminton player is at one of the ends.\nClue 76: The person who supports the Bucks is the person who likes Corals.\nClue 77: The person who likes archery is not the person who lives in the indigo house.\nClue 78: The saxophone player is immediately to the left of the Hungarian.\nClue 79: The person who drives the Ford is the person who likes Ambers.\nClue 80: The person who supports the New England Patriots is immediately to the left of the person who likes grizzly bears.\nClue 81: The violin player is somewhere to the left of the person who smokes Blue Master.\nClue 82: The person who drives the Ford is next to the person who likes Diamonds.\nClue 83: The person who supports the Lakers is the person who likes Opals.\nClue 84: The person who supports the Bucks is the squash player.\nClue 85: The American is the person who supports the Tennessee Titans.\nClue 86: The person who likes Fanta is the person who likes Corals.\nClue 87: The actor is not the Australian.\nClue 88: The person who likes scuba diving is not the cello player.\nClue 89: The person who supports the Knicks is the person who owns a Michael Kors.\nClue 90: The engineer is somewhere to the left of the person who likes swimming.\nClue 91: The person who supports the Lakers is somewhere to the left of the person who drives the Ferrari.\nClue 92: The person who supports the Atlanta Falcons is not the person who lives in the indigo house.\nClue 93: The person who likes panthers is somewhere in between the person who likes dahlias and the person who likes wine making in that order.\nClue 94: The actor is the person who likes daffodils.\nClue 95: The person who supports the Dallas Cowboys is next to the person who drives the Ducati.\nClue 96: The person who supports the Buffalo Bills is at one of the ends.\nClue 97: The person who supports the Tennessee Titans is at one of the ends.\nClue 98: The singer is the oboe player.\nClue 99: The Bulgarian is next to the dancer.\nClue 100: The person who likes mannikins is next to the cello player.\nClue 101: The person who likes swimming is not the person who smokes Winston.\nClue 102: The person who drives the Suzuki is not the person who likes marigolds.\nClue 103: The person who likes swimming is the person who smokes Camel.\nClue 104: The person who likes parkour is the person who likes swimming.\nClue 105: The person who likes marigolds is the oboe player.\nClue 106: The person who likes kiwis is somewhere to the left of the person who supports the Dallas Cowboys.\nClue 107: The person who likes mannikins is not the person who smokes Camel.\nClue 108: The person who smokes Pall Mall is at one of the ends.\nClue 109: The person who likes black bears is not the person who drives the Ducati.\nClue 110: The person who likes knitting is immediately to the left of the person who likes tulips.\nClue 111: The person who likes burgers is the person at the 2nd position.\nClue 112: The person who supports the Lakers is the person who owns a Balenciaga.\nClue 113: The person who drives the Ducati is immediately to the left of the dancer.\nClue 114: The person who drives the BMW is at one of the ends.\nClue 115: The soccer player is the person who drives the McLaren.\nClue 116: The person who likes archery is not the person who likes begonias.\nClue 117: The person who likes marigolds is somewhere in between the person who likes juggling and the person who lives in the brown house in that order.\nClue 118: The person who likes hiking is next to the person who likes kangaroos.\nClue 119: The guitar player is somewhere in between the person who likes marigolds and the person who supports the New England Patriots in that order.\nClue 120: The basketball player is the person who supports the Cavaliers.\nClue 121: The person who drives the Benelli is somewhere to the left of the American.\nClue 122: The person who likes Corals is the person who likes soups.\nClue 123: The saxophone player is not the person who likes archery.\nClue 124: The person who likes archery is the Bulgarian.\nClue 125: The Portuguese is immediately to the left of the engineer.\nClue 126: The person who likes swimming is not the person who likes parrots.\nClue 127: The person who likes baking is the actor.\nClue 128: The person who likes soups is somewhere in between the person who drives the Mercedes and the person who drives the McLaren in that order.\nClue 129: The Hungarian is the person who lives in the grey house.\nClue 130: The ice hockey player is immediately to the left of the baseball player.\nClue 131: The person who likes Mirinda is the person who likes Ambers.\nClue 132: The person who owns a Versace is immediately to the left of the person who likes pizza.\nClue 133: The Portuguese is the person who likes base jumping.\nClue 134: The Portuguese is next to the person who likes peonies.\nClue 135: The person who drives the Honda is the person who smokes Blue Master.\nClue 136: The cello player is at one of the ends.\nClue 137: The cello player is not the engineer.\nClue 138: The person who likes panthers is somewhere in between the person who likes biking and the person who supports the Tennessee Titans in that order.\nClue 139: The person who likes baking is somewhere to the left of the Australian.\nClue 140: The person who supports the Bulls is the person who likes curry.\nClue 141: The singer is somewhere in between the person who likes kangaroos and the person who likes daisies in that order.\nClue 142: The person who likes parkour is next to the person who lives in the indigo house.\nClue 143: The writer is somewhere in between the person who likes archery and the person who likes begonias in that order.\n\nQuestion: What position is the person who likes tacos at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:038", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone lives in a different colored house: pink, purple, silver, magenta, turquoise, beige.\nEveryone has a different favorite hobby: coin collecting, biking, photography, wine making, quilting, dancing.\nEveryone likes a different physical activity: swimming, scuba diving, hiking, biking, bungee jumping, running.\nEveryone drives a different car: Kia, Hyundai, Mercedes, BMW, Ford, Tesla.\nEveryone supports a different NFL team: Baltimore Ravens, New England Patriots, San Francisco 49ers, Los Angeles Rams, Cincinnati Bengals, Carolina Panthers.\nEveryone likes a different favorite animal: zanders, grasshoppers, dogs, sheep, cockroaches, eels.\nEveryone likes a different type of flower: lilies, roses, begonias, marigolds, daisies, carnations.\nEveryone plays a different musical instrument: harmonica, piano, saxophone, harp, oboe, flute.\nEveryone reads a different genre of books: magical realism, romance, mystery, science fiction, humor, fantasy.\nEveryone has a different name: Noah, Bob, Karan, Mallika, Michael, Ahmed.\nEveryone likes a different fruit: strawberries, grapes, oranges, bananas, blackberries, raspberries.\nEveryone smokes a different cigarette: Winston, Camel, Salem, Davidoff, Newport, Blue Master.\nEveryone owns a different handbag brand: Coach, Dolce and Gabbana, Kate Spade, Tory Burch, Michael Kors, Tumi.\nEveryone has a different profession: athlete, artist, doctor, dancer, writer, designer.\nEveryone likes a different type of gemstone: Obsidians, Topaz, Pearls, Emeralds, Rubies, Corals.\nEveryone likes a different food: tacos, burgers, fried rice, sandwiches, pizza, curry.\nEveryone has a different favorite soft drink: Fanta, Gatorade, Powerade, 7up, Dr Pepper, Mirinda.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who reads romance books is somewhere in between the person who lives in the purple house and the person who likes zanders in that order.\nClue 2: The person who likes zanders is at one of the ends.\nClue 3: The person who likes running is not the person who eats oranges.\nClue 4: The person who eats oranges is immediately to the left of the person who drives the Kia.\nClue 5: The person who likes Topaz is at one of the ends.\nClue 6: The person who likes biking is not the person who likes pizza.\nClue 7: Mallika is somewhere in between Noah and the person who drives the BMW in that order.\nClue 8: The person who likes Rubies is not the doctor.\nClue 9: The person who likes Mirinda is somewhere in between the person who likes hiking and the person who smokes Newport in that order.\nClue 10: The person who likes running is at one of the ends.\nClue 11: The person who supports the Baltimore Ravens is the person who lives in the purple house.\nClue 12: The person who lives in the turquoise house is at one of the ends.\nClue 13: The person who likes daisies is the person who reads mystery books.\nClue 14: The person who eats bananas is somewhere to the left of the person who likes quilting.\nClue 15: The person who likes coin collecting is somewhere in between the person who likes tacos and the person who eats raspberries in that order.\nClue 16: The person who likes sandwiches is somewhere to the left of the person who likes Dr Pepper.\nClue 17: Noah is the person who likes scuba diving.\nClue 18: The person who likes sandwiches is immediately to the left of the person who eats strawberries.\nClue 19: The person who reads science fiction books is at one of the ends.\nClue 20: The person who smokes Camel is not the person who likes photography.\nClue 21: The person who likes Corals is immediately to the left of the person who likes Mirinda.\nClue 22: The person who likes running is next to the person who likes coin collecting.\nClue 23: The person who lives in the purple house is somewhere in between the piano player and the person who likes marigolds in that order.\nClue 24: The person who eats grapes is somewhere to the left of the doctor.\nClue 25: The person who likes curry is the person who eats grapes.\nClue 26: The person who likes Rubies is Noah.\nClue 27: The person who supports the Baltimore Ravens is immediately to the left of the person who supports the Carolina Panthers.\nClue 28: The person who reads romance books is next to the person who likes grasshoppers.\nClue 29: The person who likes cockroaches is the person who reads humor books.\nClue 30: The person who likes bungee jumping is the person who owns a Kate Spade.\nClue 31: The harmonica player is at one of the ends.\nClue 32: The dancer is not the person who owns a Kate Spade.\nClue 33: The person who likes Gatorade is the person who owns a Coach.\nClue 34: The person who likes biking is somewhere to the left of the person who likes coin collecting.\nClue 35: The flute player is immediately to the left of the person who supports the New England Patriots.\nClue 36: Karan is the person who likes wine making.\nClue 37: The person who likes biking is the person who drives the Kia.\nClue 38: The person who likes Mirinda is not the person who eats oranges.\nClue 39: The person who owns a Tory Burch is immediately to the left of the person who likes running.\nClue 40: The person who likes swimming is at one of the ends.\nClue 41: The person who likes photography is next to Ahmed.\nClue 42: The person who drives the Hyundai is the person who likes Fanta.\nClue 43: The person who likes wine making is immediately to the left of the designer.\nClue 44: The person who likes Obsidians is the writer.\nClue 45: The person who likes dancing is the person who likes scuba diving.\nClue 46: The person who likes sheep is at one of the ends.\nClue 47: The person who owns a Kate Spade is the person who likes wine making.\nClue 48: The person who likes quilting is not the person who likes Rubies.\nClue 49: The person who eats oranges is somewhere to the left of the person who smokes Newport.\nClue 50: The person who likes Mirinda is not the person who likes pizza.\nClue 51: The person who drives the Kia is somewhere in between the designer and the person who likes Gatorade in that order.\nClue 52: The person who likes pizza is not the person who likes Dr Pepper.\nClue 53: The person who drives the Kia is somewhere in between the person who likes Rubies and the person who eats raspberries in that order.\nClue 54: The person who eats strawberries is somewhere to the left of the person who drives the Ford.\nClue 55: The person who smokes Salem is somewhere to the left of the person who likes biking.\nClue 56: The person who likes Fanta is somewhere to the left of the person who smokes Newport.\nClue 57: The person who likes Dr Pepper is somewhere in between the person who likes curry and Michael in that order.\nClue 58: Mallika is somewhere in between the person who smokes Blue Master and the person who likes pizza in that order.\nClue 59: Bob is somewhere to the left of the person who likes biking.\nClue 60: Karan is not the person who likes Pearls.\nClue 61: Ahmed is next to the person who likes photography.\nClue 62: The person who reads mystery books is immediately to the left of the person who lives in the beige house.\nClue 63: The person who drives the Mercedes is not Bob.\nClue 64: The doctor is the person who likes Gatorade.\nClue 65: The person who eats strawberries is next to the person who owns a Kate Spade.\nClue 66: The person who owns a Michael Kors is at one of the ends.\nClue 67: The person who smokes Newport is immediately to the left of the person who eats raspberries.\nClue 68: The person who drives the Ford is not the doctor.\nClue 69: The person who likes Dr Pepper is the person who drives the Tesla.\nClue 70: The writer is next to the person who likes scuba diving.\nClue 71: The person who likes Dr Pepper is somewhere in between the person who eats strawberries and the person who likes fried rice in that order.\nClue 72: The person who likes Corals is not the person who likes running.\nClue 73: Karan is the person who likes curry.\nClue 74: The person who smokes Camel is the person who eats raspberries.\nClue 75: The person who likes 7up is not the person who smokes Blue Master.\nClue 76: Karan is somewhere to the left of the person who likes scuba diving.\nClue 77: The person who likes running is the person who eats raspberries.\nClue 78: Mallika is next to the person who owns a Tumi.\nClue 79: The harp player is somewhere in between the person who likes eels and the saxophone player in that order.\nClue 80: The designer is not the person who likes bungee jumping.\nClue 81: The person who likes Corals is somewhere to the left of the person who owns a Coach.\nClue 82: The artist is immediately to the left of the person who likes bungee jumping.\nClue 83: The person who smokes Newport is somewhere to the left of the person who likes Gatorade.\nClue 84: The person who likes Dr Pepper is the person who eats oranges.\nClue 85: The person who likes swimming is somewhere to the left of the person who smokes Salem.\nClue 86: The person who likes photography is somewhere to the left of the person who likes Rubies.\nClue 87: The person who smokes Camel is not the person who likes Dr Pepper.\nClue 88: The person who likes biking is next to the person who drives the BMW.\nClue 89: The person who likes zanders is the person who lives in the magenta house.\nClue 90: The person who eats oranges is next to the person who likes wine making.\nClue 91: The person who likes running is the person who owns a Coach.\nClue 92: Noah is somewhere to the left of Mallika.\nClue 93: The person who drives the Tesla is somewhere in between the person who drives the Ford and the person who smokes Newport in that order.\nClue 94: The person who eats oranges is somewhere in between the person who drives the Ford and the person who likes coin collecting in that order.\nClue 95: The person who eats grapes is not the person who likes burgers.\nClue 96: The person who reads mystery books is the person who likes eels.\nClue 97: The person who likes begonias is the person who supports the Los Angeles Rams.\nClue 98: The person who drives the Mercedes is the artist.\nClue 99: The person who likes curry is not the person who owns a Coach.\nClue 100: The person who likes swimming is at one of the ends.\nClue 101: The person who smokes Salem is somewhere in between the person who drives the Hyundai and Karan in that order.\nClue 102: The writer is the person who likes curry.\nClue 103: The person who lives in the beige house is somewhere to the left of the person who reads magical realism books.\nClue 104: The person who drives the Kia is somewhere to the left of the person who likes quilting.\nClue 105: The person who lives in the turquoise house is immediately to the left of the person who lives in the pink house.\nClue 106: The person who likes hiking is next to the person who eats grapes.\nClue 107: The person who likes cockroaches is the person who likes begonias.\nClue 108: Mallika is not the person who likes Fanta.\nClue 109: The person who eats bananas is the athlete.\nClue 110: The person who likes carnations is the harmonica player.\nClue 111: The person who supports the New England Patriots is immediately to the left of the person who reads science fiction books.\nClue 112: The person at the 1st position is the person who supports the San Francisco 49ers.\nClue 113: The person who smokes Winston is immediately to the left of the person who smokes Blue Master.\nClue 114: The person who likes marigolds is next to the person at the 3rd position.\nClue 115: The person who likes 7up is somewhere in between the person who owns a Tumi and the person who likes running in that order.\nClue 116: The person who drives the Hyundai is at one of the ends.\nClue 117: The person who smokes Blue Master is the person who drives the Tesla.\nClue 118: Michael is not the person who drives the Hyundai.\nClue 119: The person who likes photography is somewhere to the left of the person who likes fried rice.\nClue 120: The person who likes photography is somewhere to the left of Karan.\nClue 121: The doctor is at one of the ends.\nClue 122: The person who likes Mirinda is somewhere to the left of the person who smokes Newport.\nClue 123: The person who likes quilting is at one of the ends.\nClue 124: The person who likes swimming is the person who likes Pearls.\nClue 125: The person who likes Rubies is immediately to the left of the person who smokes Newport.\nClue 126: The person who likes lilies is at one of the ends.\n\nQuestion: What position is the person who reads magical realism books at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:040", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone has a different profession: doctor, athlete, actor, architect, engineer, designer.\nEveryone likes a different type of gemstone: Sapphires, Emeralds, Moonstones, Amethysts, Dolomites, Gypsum.\nEveryone has a different favorite hobby: fishing, horse riding, kayaking, metal detecting, language learning, drone flying.\nEveryone drives a different motorbike: Yamaha, Honda, Ducati, Benelli, Piaggio, Bajaj.\nEveryone plays a different sport: soccer, baseball, basketball, volleyball, squash, table tennis.\nEveryone has a different name: Nour, Mohsen, Yair, Michelle, Charlie, Rajiv.\nEveryone supports a different NFL team: Seattle Seahawks, Baltimore Ravens, Dallas Cowboys, Carolina Panthers, Detroit Lions, Tennessee Titans.\nEveryone supports a different NBA team: Mavericks, Suns, Bucks, Celtics, Knicks, Hawks.\nEveryone likes a different physical activity: snorkeling, base jumping, swimming, scuba diving, bungee jumping, skiing.\nEveryone smokes a different cigarette: Pall Mall, Davidoff, Salem, Dunhill, Marlboro, Blue Master.\nEveryone has a different favorite soft drink: Pepsi, Limca, Sprite, Canada Dry, Powerade, Mountain Dew.\nEveryone reads a different genre of books: romance, magical realism, humor, mystery, short story, science fiction.\nEveryone lives in a different colored house: indigo, red, gold, magenta, turquoise, violet.\nEveryone owns a different handbag brand: Tumi, Versace, Kate Spade, Balenciaga, Michael Kors, Polo Ralph Lauren.\nEveryone drinks a different drink: lemonade, iced coffee, iced tea, beer, orange juice, water.\nEveryone drives a different car: Audi, Mercedes, Tesla, Toyota, Honda, McLaren.\nEveryone is a different nationality: American, German, Bangladeshi, Chilean, Irish, Sri Lankan.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes skiing is somewhere to the left of the person who drives the Mercedes.\nClue 2: The person who drives the Benelli is Yair.\nClue 3: The person who lives in the indigo house is not the person who likes fishing.\nClue 4: The person who smokes Pall Mall is immediately to the left of the person who drives the Ducati.\nClue 5: The person who drives the Yamaha is next to the person who owns a Kate Spade.\nClue 6: The person who reads mystery books is somewhere in between the person who reads romance books and the person who smokes Blue Master in that order.\nClue 7: The person who owns a Versace is not the person who supports the Bucks.\nClue 8: The basketball player is the person who supports the Detroit Lions.\nClue 9: The person who reads science fiction books is the designer.\nClue 10: The Chilean is the person who lives in the red house.\nClue 11: The person who owns a Michael Kors is not the athlete.\nClue 12: The person who likes Sapphires is at one of the ends.\nClue 13: The person who likes Canada Dry is immediately to the left of the architect.\nClue 14: The person who likes metal detecting is somewhere to the left of the person who supports the Knicks.\nClue 15: The person who likes Limca is not the person who reads science fiction books.\nClue 16: The person who drives the Mercedes is somewhere to the left of the person who drinks orange juice.\nClue 17: The person who lives in the gold house is immediately to the left of the actor.\nClue 18: The person who reads magical realism books is not the person who supports the Bucks.\nClue 19: The person who likes Canada Dry is not the person who lives in the magenta house.\nClue 20: The athlete is at one of the ends.\nClue 21: The person who supports the Mavericks is not the person who likes metal detecting.\nClue 22: The person who likes Limca is at one of the ends.\nClue 23: The person who likes Sprite is the person who owns a Balenciaga.\nClue 24: The actor is the American.\nClue 25: The person who likes drone flying is the person who drives the Ducati.\nClue 26: The German is at one of the ends.\nClue 27: Charlie is the person who reads magical realism books.\nClue 28: The person who likes Pepsi is immediately to the left of the person who likes Sprite.\nClue 29: The person who drinks water is at one of the ends.\nClue 30: The architect is somewhere in between the Chilean and the person who smokes Salem in that order.\nClue 31: The person who supports the Tennessee Titans is at one of the ends.\nClue 32: The person who smokes Davidoff is immediately to the left of the person who smokes Pall Mall.\nClue 33: The person who lives in the red house is the person who supports the Mavericks.\nClue 34: The person who lives in the red house is somewhere in between the person who drives the Benelli and the person who smokes Blue Master in that order.\nClue 35: The engineer is next to the person who likes Powerade.\nClue 36: The person who supports the Bucks is somewhere in between the person who likes fishing and the person who likes Canada Dry in that order.\nClue 37: The person who drinks lemonade is somewhere in between the person who supports the Baltimore Ravens and the person who supports the Dallas Cowboys in that order.\nClue 38: The person who likes metal detecting is next to the person who lives in the violet house.\nClue 39: The person who likes drone flying is not Mohsen.\nClue 40: The Bangladeshi is somewhere to the left of the person who smokes Salem.\nClue 41: The architect is not Charlie.\nClue 42: The person who reads magical realism books is next to the person who drives the Honda.\nClue 43: Nour is immediately to the left of the architect.\nClue 44: The person who drives the Benelli is somewhere in between the German and the person who reads humor books in that order.\nClue 45: The soccer player is the person who supports the Carolina Panthers.\nClue 46: The person who drinks water is immediately to the left of the person who drinks iced tea.\nClue 47: The person who reads humor books is at one of the ends.\nClue 48: The person who drives the Bajaj is somewhere in between the person who smokes Marlboro and the person who likes Sprite in that order.\nClue 49: The person who reads short story books is somewhere in between the person who supports the Mavericks and the person who reads humor books in that order.\nClue 50: The person who reads short story books is not the person who likes kayaking.\nClue 51: Nour is the Chilean.\nClue 52: The person who likes metal detecting is somewhere in between the person who supports the Bucks and the person who lives in the violet house in that order.\nClue 53: The designer is somewhere in between the person who owns a Kate Spade and the person who supports the Celtics in that order.\nClue 54: The designer is somewhere in between the person who lives in the magenta house and Michelle in that order.\nClue 55: The Irish is somewhere to the left of the person who reads humor books.\nClue 56: The person who owns a Balenciaga is at one of the ends.\nClue 57: The person who likes language learning is at one of the ends.\nClue 58: The person who smokes Marlboro is somewhere in between the athlete and Mohsen in that order.\nClue 59: Rajiv is immediately to the left of Yair.\nClue 60: The basketball player is the person who likes Gypsum.\nClue 61: The person who likes Mountain Dew is immediately to the left of Yair.\nClue 62: The person who drinks beer is somewhere to the left of the person who likes swimming.\nClue 63: The person who likes horse riding is somewhere to the left of Yair.\nClue 64: The person who reads mystery books is the person who owns a Polo Ralph Lauren.\nClue 65: The person who likes fishing is somewhere in between the German and the person who owns a Tumi in that order.\nClue 66: The person who likes Moonstones is next to the person who supports the Carolina Panthers.\nClue 67: The person who drives the Toyota is immediately to the left of the person who drinks lemonade.\nClue 68: Nour is somewhere in between Rajiv and the person who lives in the gold house in that order.\nClue 69: The person who likes kayaking is next to the person who supports the Hawks.\nClue 70: The doctor is somewhere in between the person who supports the Bucks and the Bangladeshi in that order.\nClue 71: The person who likes scuba diving is the squash player.\nClue 72: The squash player is immediately to the left of the person who drives the Tesla.\nClue 73: The person who supports the Mavericks is not the person who drives the Honda.\nClue 74: The person who likes base jumping is the basketball player.\nClue 75: The table tennis player is the person who drives the Tesla.\nClue 76: The person who likes language learning is not Nour.\nClue 77: The person who owns a Versace is at one of the ends.\nClue 78: The person who owns a Michael Kors is somewhere in between the person who owns a Polo Ralph Lauren and the person who owns a Balenciaga in that order.\nClue 79: The person who owns a Kate Spade is somewhere in between the German and the architect in that order.\nClue 80: The person who likes Sprite is at one of the ends.\nClue 81: The person who owns a Tumi is somewhere to the left of the Bangladeshi.\nClue 82: The person who smokes Dunhill is the person who supports the Suns.\nClue 83: The person who likes bungee jumping is at one of the ends.\nClue 84: The person who lives in the turquoise house is somewhere to the left of Nour.\nClue 85: The person who smokes Pall Mall is somewhere in between the athlete and the person who likes Pepsi in that order.\nClue 86: The person who likes metal detecting is immediately to the left of the person who smokes Salem.\nClue 87: The person who smokes Blue Master is next to the person who lives in the red house.\nClue 88: The squash player is the person who likes Dolomites.\nClue 89: The person who owns a Kate Spade is immediately to the left of the person who likes kayaking.\nClue 90: The person who likes skiing is the person at the 4th position.\nClue 91: The person who reads mystery books is next to the person who supports the Celtics.\nClue 92: The person who drinks iced coffee is next to the person at the 4th position.\nClue 93: The person who drives the McLaren is at one of the ends.\nClue 94: The person who smokes Davidoff is the person who likes fishing.\nClue 95: The person who lives in the turquoise house is immediately to the left of the person who supports the Hawks.\nClue 96: The person who drives the Benelli is somewhere in between the person who drives the Yamaha and the person who owns a Polo Ralph Lauren in that order.\nClue 97: Charlie is not the person who lives in the gold house.\nClue 98: The person who likes drone flying is somewhere in between the designer and the person who reads short story books in that order.\nClue 99: The Bangladeshi is the person who smokes Blue Master.\nClue 100: The person who drives the Honda is somewhere to the left of the person who owns a Balenciaga.\nClue 101: The person who reads mystery books is somewhere in between the person who likes kayaking and Michelle in that order.\nClue 102: The person who lives in the red house is somewhere in between the person who lives in the indigo house and the person who likes Pepsi in that order.\nClue 103: The person who drives the Toyota is somewhere to the left of the person who drives the McLaren.\nClue 104: Nour is immediately to the left of the person who owns a Michael Kors.\nClue 105: The person who likes Emeralds is at one of the ends.\nClue 106: Charlie is the person who lives in the turquoise house.\nClue 107: The person who lives in the violet house is at one of the ends.\nClue 108: The person who likes Gypsum is the person who drinks iced tea.\nClue 109: The Bangladeshi is next to the person who drives the Piaggio.\nClue 110: The person who supports the Suns is the German.\nClue 111: The person who owns a Polo Ralph Lauren is the doctor.\nClue 112: The person at the 6th position is not the person who likes Emeralds.\nClue 113: The person who drives the Ducati is immediately to the left of Michelle.\nClue 114: The person who owns a Polo Ralph Lauren is the doctor.\nClue 115: The person who likes bungee jumping is the person who drives the Audi.\nClue 116: The soccer player is the person who drives the McLaren.\nClue 117: The person who lives in the turquoise house is at one of the ends.\nClue 118: The person who supports the Mavericks is somewhere in between the person who drives the Honda and the person who drives the Bajaj in that order.\nClue 119: The person who supports the Knicks is not the person who smokes Dunhill.\nClue 120: The Chilean is somewhere to the left of the person who owns a Balenciaga.\nClue 121: The person who owns a Versace is the person who reads magical realism books.\nClue 122: The person who supports the Celtics is somewhere in between the person who owns a Polo Ralph Lauren and Mohsen in that order.\nClue 123: Charlie is somewhere to the left of the person who reads short story books.\nClue 124: The person who owns a Tumi is the person who likes Powerade.\nClue 125: The person who drinks beer is the volleyball player.\nClue 126: The volleyball player is next to the soccer player.\nClue 127: The person who smokes Davidoff is not the person who lives in the turquoise house.\nClue 128: The person who drives the Honda is somewhere to the left of the person who likes kayaking.\nClue 129: The person who reads science fiction books is somewhere in between the person who likes fishing and the person who likes Canada Dry in that order.\nClue 130: The person who reads short story books is the person who drives the Bajaj.\n\nQuestion: What position is the person who likes Emeralds at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:044", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different type of gemstone: Emeralds, Pearls, Gypsum, Amethysts, Moonstones, Corals, Opals.\nEveryone plays a different sport: soccer, cricket, volleyball, squash, badminton, ice hockey, table tennis.\nEveryone has a different favorite hobby: bird watching, horse riding, dancing, fishing, cooking, wood carving, biking.\nEveryone likes a different favorite animal: otters, rabbits, kiwis, butterflies, crows, mules, lizards.\nEveryone smokes a different cigarette: Blue Master, Camel, Dunhill, Pall Mall, Marlboro, Salem, Winston.\nEveryone drives a different car: Lexus, Ferrari, Hyundai, Ford, Mercedes, Audi, McLaren.\nEveryone supports a different NBA team: Lakers, Mavericks, Warriors, Hawks, Bulls, Celtics, Suns.\nEveryone likes a different food: pizza, curry, fried rice, soups, tacos, pasta, sandwiches.\nEveryone has a different profession: singer, engineer, athlete, artist, chef, dancer, doctor.\nEveryone likes a different physical activity: weight lifting, running, biking, bungee jumping, hiking, paragliding, base jumping.\nEveryone has a different favorite soft drink: Pepsi, Gatorade, Powerade, Limca, Mirinda, Coke, 7up.\nEveryone likes a different fruit: blackberries, blueberries, grapes, oranges, mangoes, kiwis, apples.\nEveryone likes a different type of flower: daffodils, orchids, marigolds, tulips, roses, daisies, carnations.\nEveryone has a different name: Jones, Yair, Drew, Barbara, Tao, Mohsen, Rose.\nEveryone reads a different genre of books: humor, spiritual, history, fantasy, romance, magical realism, short story.\nEveryone drinks a different drink: milk, orange juice, water, iced coffee, beer, hot chocolate, coffee.\nEveryone lives in a different colored house: brown, turquoise, yellow, gold, white, beige, cyan.\nEveryone plays a different musical instrument: guitar, harp, violin, oboe, saxophone, piano, cello.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes orchids is next to the person who smokes Pall Mall.\nClue 2: The person who drinks beer is not the person who eats kiwis.\nClue 3: The soccer player is somewhere in between the person who likes biking and the person who smokes Camel in that order.\nClue 4: The person who likes otters is immediately to the left of the artist.\nClue 5: The person who likes base jumping is immediately to the left of the cricket player.\nClue 6: The badminton player is at one of the ends.\nClue 7: The cricket player is at one of the ends.\nClue 8: Tao is not the person who likes otters.\nClue 9: The person who reads history books is immediately to the left of the person who likes roses.\nClue 10: The person who drinks coffee is not the person who smokes Salem.\nClue 11: The person who likes roses is somewhere in between the guitar player and the person who likes bird watching in that order.\nClue 12: The person who supports the Mavericks is next to Barbara.\nClue 13: The cricket player is at one of the ends.\nClue 14: The person who likes wood carving is the person who likes weight lifting.\nClue 15: The person who likes bungee jumping is the person who likes marigolds.\nClue 16: The soccer player is somewhere to the left of the person who drinks beer.\nClue 17: The person who likes biking is somewhere to the left of the person who likes dancing.\nClue 18: The person who lives in the cyan house is the singer.\nClue 19: The person who likes Emeralds is the person who drives the Ford.\nClue 20: The person who likes 7up is somewhere in between the table tennis player and the person who likes fried rice in that order.\nClue 21: The person who drives the Audi is somewhere in between the dancer and the person who supports the Bulls in that order.\nClue 22: The person who lives in the white house is immediately to the left of the person who likes Gypsum.\nClue 23: The person who likes marigolds is not the person who reads short story books.\nClue 24: The person who likes Pepsi is the person who likes biking.\nClue 25: The person who drives the McLaren is the person who supports the Celtics.\nClue 26: The person who likes Gypsum is somewhere to the left of the person who likes crows.\nClue 27: The squash player is not the person who eats grapes.\nClue 28: The person who likes kiwis is somewhere in between the person who supports the Bulls and the engineer in that order.\nClue 29: The person who drives the Mercedes is the person who supports the Bulls.\nClue 30: The person who likes curry is next to the person who likes dancing.\nClue 31: The person who likes Gatorade is the person who likes running.\nClue 32: Tao is the person who lives in the white house.\nClue 33: The person who likes otters is the dancer.\nClue 34: The person who smokes Salem is at one of the ends.\nClue 35: The person who likes Moonstones is at one of the ends.\nClue 36: The person who lives in the beige house is the person who likes Gypsum.\nClue 37: The person who smokes Salem is next to the person who smokes Blue Master.\nClue 38: The guitar player is somewhere in between the person who likes Coke and the person who drinks milk in that order.\nClue 39: The person who supports the Celtics is next to the person who lives in the cyan house.\nClue 40: The guitar player is immediately to the left of the harp player.\nClue 41: The saxophone player is not the person who eats blueberries.\nClue 42: The person who likes sandwiches is the violin player.\nClue 43: The person who eats blueberries is immediately to the left of the person who likes tacos.\nClue 44: The person who likes Powerade is at one of the ends.\nClue 45: The person who likes biking is not the person who reads short story books.\nClue 46: The person who eats grapes is somewhere in between the person who likes tacos and the person who drinks milk in that order.\nClue 47: The person who smokes Salem is at one of the ends.\nClue 48: The person who likes daffodils is not the person who likes biking.\nClue 49: The person who likes pasta is next to the person who likes paragliding.\nClue 50: The person who likes Powerade is at one of the ends.\nClue 51: The person who eats oranges is somewhere to the left of the person who reads history books.\nClue 52: The person who smokes Pall Mall is somewhere to the left of the person who likes wood carving.\nClue 53: The person at the 6th position is next to the person who supports the Suns.\nClue 54: The person who eats grapes is somewhere in between the harp player and the person who smokes Dunhill in that order.\nClue 55: The person who likes daisies is somewhere to the left of the person who eats apples.\nClue 56: The person who drinks hot chocolate is not the person who reads spiritual books.\nClue 57: The person who drives the Lexus is at one of the ends.\nClue 58: The person who likes marigolds is immediately to the left of the person who likes soups.\nClue 59: The person who likes 7up is the person who likes bird watching.\nClue 60: The person who likes sandwiches is the badminton player.\nClue 61: The person who reads magical realism books is the person who likes bird watching.\nClue 62: The person who likes kiwis is the person who supports the Lakers.\nClue 63: The person who lives in the turquoise house is the person who supports the Mavericks.\nClue 64: The person who likes pizza is immediately to the left of the oboe player.\nClue 65: The saxophone player is the person who eats grapes.\nClue 66: Jones is at one of the ends.\nClue 67: The harp player is next to the person who reads spiritual books.\nClue 68: The person who likes Opals is the person who likes lizards.\nClue 69: The person who smokes Salem is not the person who eats blackberries.\nClue 70: The person who drinks orange juice is immediately to the left of the person who drinks coffee.\nClue 71: The doctor is at one of the ends.\nClue 72: The person who likes Gatorade is somewhere to the left of the person who eats apples.\nClue 73: The person who lives in the gold house is Yair.\nClue 74: The person who likes base jumping is not the person who likes carnations.\nClue 75: The guitar player is next to the harp player.\nClue 76: The squash player is next to the person who likes Powerade.\nClue 77: The person who drives the McLaren is the person who lives in the brown house.\nClue 78: The person who drinks coffee is somewhere in between the person who likes hiking and the person who reads humor books in that order.\nClue 79: The saxophone player is somewhere in between the person who likes fishing and the squash player in that order.\nClue 80: The doctor is somewhere to the left of the singer.\nClue 81: The person who reads magical realism books is somewhere to the left of the cello player.\nClue 82: The piano player is somewhere to the left of the person who eats kiwis.\nClue 83: The person who likes base jumping is next to the person who drinks beer.\nClue 84: The person who drinks orange juice is the person who likes pasta.\nClue 85: The person who likes Gatorade is not the person who likes weight lifting.\nClue 86: The person who likes bird watching is the person who likes 7up.\nClue 87: The person who likes Pepsi is not the person who likes pasta.\nClue 88: The person who likes fishing is not the person who likes running.\nClue 89: The person who reads spiritual books is not the cello player.\nClue 90: The person who likes marigolds is the person who smokes Salem.\nClue 91: The person who drives the Lexus is next to the person who likes kiwis.\nClue 92: The soccer player is somewhere in between the person who likes Coke and the cricket player in that order.\nClue 93: The person who likes biking is the person who likes orchids.\nClue 94: The person who supports the Mavericks is next to the dancer.\nClue 95: The athlete is next to the person who likes mules.\nClue 96: The person who likes marigolds is not the person who smokes Camel.\nClue 97: The person who smokes Salem is not the person who likes biking.\nClue 98: The person who likes running is somewhere in between the ice hockey player and the person who likes base jumping in that order.\nClue 99: The person who likes Pearls is the person who lives in the white house.\nClue 100: Mohsen is next to the person at the 7th position.\nClue 101: The person who likes biking is not the person who reads short story books.\nClue 102: The badminton player is somewhere to the left of the person who likes 7up.\nClue 103: The person who eats oranges is the person who likes sandwiches.\nClue 104: The guitar player is somewhere to the left of the person who drinks coffee.\nClue 105: The violin player is the person who smokes Salem.\nClue 106: The person who drinks water is next to the person who likes Coke.\nClue 107: Rose is somewhere in between Barbara and the person who drives the Mercedes in that order.\nClue 108: The person who reads short story books is somewhere in between the person who likes biking and the person who smokes Marlboro in that order.\nClue 109: The person who likes butterflies is not the person who likes Amethysts.\nClue 110: The table tennis player is somewhere in between the person who likes horse riding and the person who likes Powerade in that order.\nClue 111: The person who drives the Audi is somewhere to the left of the person who likes Corals.\nClue 112: The person who likes rabbits is at one of the ends.\nClue 113: The person who eats oranges is the person who likes cooking.\nClue 114: The person who likes cooking is immediately to the left of the person who drinks water.\nClue 115: The person who eats grapes is immediately to the left of the person who likes dancing.\nClue 116: The person who eats oranges is at one of the ends.\nClue 117: The person who likes sandwiches is somewhere to the left of the person who likes 7up.\nClue 118: The person who likes daffodils is somewhere to the left of the ice hockey player.\nClue 119: The doctor is the person who drives the McLaren.\nClue 120: The doctor is next to the person who supports the Hawks.\nClue 121: The person who likes carnations is the cello player.\nClue 122: The person who likes Gatorade is not the person who drinks iced coffee.\nClue 123: The cricket player is not the person who likes tacos.\nClue 124: The person who likes carnations is the person who eats apples.\nClue 125: Mohsen is immediately to the left of Yair.\nClue 126: The ice hockey player is somewhere to the left of the cricket player.\nClue 127: The person who drinks milk is not the person who likes marigolds.\nClue 128: The person who smokes Dunhill is the squash player.\nClue 129: The person who eats kiwis is somewhere to the left of the person who likes fried rice.\nClue 130: The person who likes tacos is immediately to the left of the person who drinks orange juice.\nClue 131: The person who likes orchids is next to the harp player.\nClue 132: The person who likes daisies is somewhere to the left of the person who likes fried rice.\nClue 133: The person who drives the Audi is the person at the 4th position.\nClue 134: Rose is the person who lives in the turquoise house.\nClue 135: The person who smokes Dunhill is somewhere in between the piano player and the person who reads humor books in that order.\nClue 136: The engineer is next to the person who drives the Hyundai.\nClue 137: The person who likes Gatorade is next to the squash player.\nClue 138: The person who likes pizza is not the person who likes base jumping.\nClue 139: Drew is the person who likes butterflies.\nClue 140: The person who likes soups is somewhere to the left of the person who likes weight lifting.\nClue 141: The person who likes horse riding is somewhere to the left of the person who likes wood carving.\nClue 142: The person who eats apples is not the volleyball player.\n\nQuestion: What position is the person who supports the Celtics at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:045", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone likes a different favorite animal: eels, blobfish, bees, aardvarks, swans, finches.\nEveryone has a different name: Michelle, Mohan, Mallika, Doug, Bob, Ali.\nEveryone is a different nationality: Swiss, Croatian, Spanish, Iranian, Hungarian, Brit.\nEveryone has a different favorite soft drink: Coke, Dr Pepper, Fanta, Pepsi, 7up, Limca.\nEveryone likes a different type of flower: roses, marigolds, tulips, begonias, daffodils, peonies.\nEveryone likes a different fruit: blueberries, oranges, bananas, blackberries, strawberries, pears.\nEveryone owns a different handbag brand: Tumi, Balenciaga, Tory Burch, Versace, Coach, Polo Ralph Lauren.\nEveryone smokes a different cigarette: Camel, Pall Mall, Blends, Dunhill, Salem, Marlboro.\nEveryone plays a different musical instrument: guitar, cello, piano, violin, drums, saxophone.\nEveryone lives in a different colored house: violet, silver, yellow, indigo, red, orange.\nEveryone drinks a different drink: orange juice, milk, iced coffee, beer, lemonade, coffee.\nEveryone reads a different genre of books: spiritual, science fiction, history, romance, mystery, short story.\nEveryone has a different profession: engineer, writer, doctor, artist, programmer, dancer.\nEveryone supports a different NFL team: Pittsburgh Steelers, Los Angeles Rams, Green Bay Packers, Arizona Cardinals, Cincinnati Bengals, Baltimore Ravens.\nEveryone likes a different food: sandwiches, kebabs, curry, pizza, burgers, tacos.\nEveryone has a different favorite hobby: quilting, beekeeping, horse riding, archery, cheese making, video games.\nEveryone supports a different NBA team: Knicks, Suns, Hawks, Lakers, Bulls, Bucks.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person at the 2nd position is the person who likes begonias.\nClue 2: The Hungarian is the person who reads spiritual books.\nClue 3: The person who smokes Marlboro is not the person who owns a Polo Ralph Lauren.\nClue 4: The person who likes swans is next to the person who supports the Bulls.\nClue 5: The doctor is immediately to the left of the Croatian.\nClue 6: Mallika is at one of the ends.\nClue 7: The person who eats oranges is somewhere to the left of the person who owns a Tory Burch.\nClue 8: The drums player is not Mohan.\nClue 9: The writer is next to the doctor.\nClue 10: Michelle is not the person who supports the Hawks.\nClue 11: The person who owns a Tory Burch is next to the Swiss.\nClue 12: The person who likes blobfish is somewhere in between the person who drinks beer and the saxophone player in that order.\nClue 13: The person who owns a Versace is the person who supports the Lakers.\nClue 14: The person who owns a Balenciaga is somewhere to the left of the person who reads mystery books.\nClue 15: The person who smokes Dunhill is the guitar player.\nClue 16: The writer is the person who smokes Pall Mall.\nClue 17: The person who likes Coke is next to the person who supports the Arizona Cardinals.\nClue 18: The person who owns a Polo Ralph Lauren is immediately to the left of the person who owns a Versace.\nClue 19: The person who likes blobfish is the person who eats blackberries.\nClue 20: The person who likes tulips is the person who likes quilting.\nClue 21: The person who likes video games is immediately to the left of the person who likes Limca.\nClue 22: Michelle is immediately to the left of the person who smokes Salem.\nClue 23: The person who likes beekeeping is somewhere to the left of the person who likes curry.\nClue 24: The person who likes pizza is at one of the ends.\nClue 25: The person who likes horse riding is immediately to the left of the person who likes tulips.\nClue 26: The person who smokes Marlboro is not the Iranian.\nClue 27: The person who likes roses is somewhere in between the person who likes curry and the person who likes tulips in that order.\nClue 28: The cello player is the person who likes aardvarks.\nClue 29: The person who drinks orange juice is at one of the ends.\nClue 30: The Spanish is the person who smokes Pall Mall.\nClue 31: The person who likes finches is at one of the ends.\nClue 32: The person who supports the Knicks is at one of the ends.\nClue 33: Mallika is immediately to the left of the person who drinks milk.\nClue 34: The person who likes marigolds is the person who likes archery.\nClue 35: The person who smokes Marlboro is next to the person who likes finches.\nClue 36: The Hungarian is not the person who owns a Versace.\nClue 37: The person who likes begonias is the person who supports the Cincinnati Bengals.\nClue 38: The person who eats blueberries is the person who likes bees.\nClue 39: The Brit is at one of the ends.\nClue 40: The person who owns a Polo Ralph Lauren is the person who supports the Bucks.\nClue 41: The artist is somewhere to the left of the person who eats blackberries.\nClue 42: The person who likes kebabs is immediately to the left of the person who likes burgers.\nClue 43: The person who smokes Marlboro is immediately to the left of the person who eats bananas.\nClue 44: The Hungarian is somewhere to the left of the person who drinks iced coffee.\nClue 45: The writer is the person who likes aardvarks.\nClue 46: The Hungarian is not the person who drinks coffee.\nClue 47: The person who likes sandwiches is immediately to the left of the person who likes Dr Pepper.\nClue 48: The person who drinks iced coffee is next to the Croatian.\nClue 49: The person who likes Coke is somewhere in between the person who likes tacos and the person who likes marigolds in that order.\nClue 50: The doctor is next to the person who likes bees.\nClue 51: The person who owns a Balenciaga is somewhere in between Bob and the person who smokes Blends in that order.\nClue 52: The person who eats blueberries is the person who reads short story books.\nClue 53: The guitar player is the Hungarian.\nClue 54: The person who drinks milk is somewhere in between the writer and the person who reads science fiction books in that order.\nClue 55: The person who reads romance books is somewhere to the left of the person who eats pears.\nClue 56: The person who owns a Tory Burch is at one of the ends.\nClue 57: The guitar player is not Ali.\nClue 58: The Brit is not Bob.\nClue 59: The person who supports the Baltimore Ravens is the person who likes roses.\nClue 60: The person who likes Fanta is next to the person who likes kebabs.\nClue 61: The person who supports the Lakers is not Mohan.\nClue 62: Ali is at one of the ends.\nClue 63: The person who likes swans is next to the person who eats blackberries.\nClue 64: The saxophone player is the person who smokes Marlboro.\nClue 65: The Hungarian is next to the cello player.\nClue 66: The person who reads short story books is somewhere in between the guitar player and the person who supports the Hawks in that order.\nClue 67: The person who supports the Green Bay Packers is the person who lives in the red house.\nClue 68: The person who supports the Los Angeles Rams is the person who lives in the indigo house.\nClue 69: The person who lives in the violet house is the person who likes beekeeping.\nClue 70: The person who likes burgers is at one of the ends.\nClue 71: Doug is somewhere in between the artist and the Swiss in that order.\nClue 72: The Croatian is not Ali.\nClue 73: The person who likes cheese making is next to the person who lives in the yellow house.\nClue 74: The person who likes bees is somewhere to the left of the Brit.\nClue 75: The cello player is the person who supports the Knicks.\nClue 76: The person who reads science fiction books is not the Swiss.\nClue 77: The person who likes finches is next to the person who likes swans.\nClue 78: The person who lives in the violet house is the person who supports the Cincinnati Bengals.\nClue 79: The Iranian is somewhere to the left of the person who reads mystery books.\nClue 80: The person who likes swans is not the person who eats blueberries.\nClue 81: The Spanish is at one of the ends.\nClue 82: The cello player is the Spanish.\nClue 83: The person who likes Dr Pepper is next to the person who likes Pepsi.\nClue 84: The person who reads romance books is not Ali.\nClue 85: The person who eats bananas is at one of the ends.\nClue 86: The person who eats oranges is Mohan.\nClue 87: The person who reads history books is somewhere in between the person who reads science fiction books and the dancer in that order.\nClue 88: The person who reads science fiction books is not the artist.\nClue 89: The person who smokes Marlboro is not the person who owns a Polo Ralph Lauren.\nClue 90: The person who likes horse riding is somewhere in between the person at the 3rd position and the person who supports the Los Angeles Rams in that order.\nClue 91: The violin player is not the person who smokes Marlboro.\nClue 92: The person who drinks beer is the piano player.\nClue 93: The person who smokes Camel is immediately to the left of the programmer.\nClue 94: The person who likes Coke is the person who likes kebabs.\nClue 95: The person who likes roses is the person who likes horse riding.\nClue 96: The person who supports the Lakers is immediately to the left of the Iranian.\nClue 97: The person who reads history books is Mohan.\nClue 98: The person who lives in the orange house is the person who likes 7up.\nClue 99: The Iranian is somewhere in between the Spanish and the person who owns a Tory Burch in that order.\nClue 100: The person who likes aardvarks is somewhere to the left of the drums player.\nClue 101: The guitar player is somewhere in between the person who owns a Tumi and the Croatian in that order.\nClue 102: The person who owns a Balenciaga is somewhere to the left of the person who supports the Bulls.\nClue 103: The person who supports the Suns is not Ali.\nClue 104: The person who reads spiritual books is not the person who likes bees.\nClue 105: The person who drinks lemonade is not the doctor.\nClue 106: The dancer is the Brit.\nClue 107: The person who smokes Dunhill is immediately to the left of the person who owns a Versace.\nClue 108: The person who drinks iced coffee is somewhere to the left of the person who smokes Blends.\nClue 109: Bob is somewhere in between the person who eats pears and the person who owns a Balenciaga in that order.\nClue 110: The person who supports the Bulls is the person who smokes Blends.\nClue 111: The person who smokes Pall Mall is the writer.\nClue 112: The piano player is not the Hungarian.\nClue 113: The person who drinks milk is not the Swiss.\nClue 114: The person who supports the Bucks is somewhere in between the person who owns a Tumi and the person who owns a Versace in that order.\nClue 115: The saxophone player is not Mallika.\nClue 116: The person who likes blobfish is the person who eats blackberries.\nClue 117: The person who reads history books is not the person who owns a Tumi.\nClue 118: The person who drinks coffee is the person who supports the Bulls.\nClue 119: The guitar player is not the person who supports the Suns.\nClue 120: The person who eats bananas is at one of the ends.\nClue 121: The programmer is somewhere in between the violin player and the dancer in that order.\nClue 122: The person who drinks coffee is not the person who smokes Dunhill.\nClue 123: The person who eats bananas is not the person who owns a Balenciaga.\nClue 124: Mohan is somewhere to the left of the Brit.\nClue 125: The person who supports the Pittsburgh Steelers is the person who likes peonies.\nClue 126: The person who smokes Salem is the artist.\nClue 127: The person who drinks iced coffee is somewhere in between the person who likes eels and the programmer in that order.\n\nQuestion: What position is the person who likes 7up at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:046", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different physical activity: swimming, skiing, hiking, bungee jumping, paragliding, snorkeling, running.\nEveryone has a different profession: teacher, writer, designer, singer, engineer, artist, chef.\nEveryone has a different favorite hobby: language learning, drone flying, knitting, kite flying, crocheting, mixology, bird watching.\nEveryone drives a different car: Kia, Tesla, Ferrari, Ford, Honda, Audi, Hyundai.\nEveryone likes a different fruit: raspberries, oranges, blueberries, grapes, blackberries, kiwis, strawberries.\nEveryone likes a different type of flower: dahlias, daisies, marigolds, peonies, begonias, roses, carnations.\nEveryone supports a different NBA team: Cavaliers, Mavericks, Warriors, Bulls, Celtics, Suns, Knicks.\nEveryone likes a different favorite animal: zebras, beavers, catfish, kudus, crickets, halibut, meerkats.\nEveryone has a different name: Trinity, Rose, Charlie, Nour, Michelle, Barbara, Noah.\nEveryone reads a different genre of books: mystery, magical realism, spiritual, fantasy, science fiction, short story, humor.\nEveryone supports a different NFL team: Green Bay Packers, Seattle Seahawks, Chicago Bears, Miami Dolphins, Cincinnati Bengals, Detroit Lions, Los Angeles Rams.\nEveryone is a different nationality: Canadian, Hungarian, Swede, Brit, Chilean, Bulgarian, Indian.\nEveryone has a different favorite soft drink: Limca, Canada Dry, Mirinda, Mountain Dew, Powerade, Dr Pepper, Sprite.\nEveryone drinks a different drink: tea, water, beer, iced tea, hot chocolate, lemonade, iced coffee.\nEveryone plays a different musical instrument: cello, harmonica, harp, saxophone, flute, oboe, guitar.\nEveryone plays a different sport: table tennis, baseball, tennis, basketball, volleyball, cricket, squash.\nEveryone lives in a different colored house: beige, teal, brown, black, turquoise, orange, purple.\nEveryone drives a different motorbike: Buell, Bajaj, Honda, Ducati, Kawasaki, Piaggio, Benelli.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who lives in the orange house is at one of the ends.\nClue 2: The person who likes catfish is not the person who likes knitting.\nClue 3: The person who supports the Green Bay Packers is the person who eats blueberries.\nClue 4: The person who likes catfish is next to the chef.\nClue 5: The person who drinks iced coffee is the person who supports the Los Angeles Rams.\nClue 6: The person who drinks hot chocolate is somewhere to the left of the person who likes begonias.\nClue 7: The person who lives in the teal house is somewhere in between the person who eats grapes and the person who supports the Los Angeles Rams in that order.\nClue 8: The person who likes kite flying is immediately to the left of the person who likes knitting.\nClue 9: The person who drives the Ducati is not the person who likes mixology.\nClue 10: The person who likes kite flying is the person who drives the Benelli.\nClue 11: The squash player is somewhere to the left of the person who reads short story books.\nClue 12: The person who drives the Ducati is not the person who likes Mirinda.\nClue 13: The person who eats blackberries is immediately to the left of the person who likes marigolds.\nClue 14: The person who drives the Tesla is at one of the ends.\nClue 15: The person who drives the Benelli is somewhere to the left of the person who likes Mountain Dew.\nClue 16: The person who drives the Bajaj is somewhere in between the person who lives in the orange house and the person who likes mixology in that order.\nClue 17: The person who lives in the beige house is somewhere to the left of the person who likes peonies.\nClue 18: The person who likes hiking is somewhere to the left of the person who likes swimming.\nClue 19: The Brit is Trinity.\nClue 20: The person who lives in the turquoise house is not the person who supports the Green Bay Packers.\nClue 21: Nour is at one of the ends.\nClue 22: The table tennis player is at one of the ends.\nClue 23: The person who lives in the black house is the person who likes begonias.\nClue 24: The person who reads science fiction books is next to the person who reads fantasy books.\nClue 25: The person who lives in the turquoise house is the person who eats oranges.\nClue 26: The person who lives in the purple house is somewhere to the left of the person who likes snorkeling.\nClue 27: The person who likes Powerade is the person who supports the Chicago Bears.\nClue 28: The chef is somewhere in between the writer and the person who lives in the black house in that order.\nClue 29: The person who likes hiking is immediately to the left of the writer.\nClue 30: The person who likes Powerade is the person who drinks hot chocolate.\nClue 31: The person who likes Canada Dry is next to the person who likes roses.\nClue 32: The person who likes beavers is somewhere to the left of the person who likes knitting.\nClue 33: The person who supports the Knicks is the person who drives the Hyundai.\nClue 34: The person who likes Mountain Dew is immediately to the left of the person who likes language learning.\nClue 35: The person who likes Canada Dry is immediately to the left of the person who drinks hot chocolate.\nClue 36: The person who likes running is somewhere to the left of the person who supports the Los Angeles Rams.\nClue 37: The person who drives the Buell is the person who supports the Los Angeles Rams.\nClue 38: Barbara is the person who drives the Tesla.\nClue 39: The person who lives in the black house is the person who likes snorkeling.\nClue 40: The squash player is immediately to the left of the harmonica player.\nClue 41: The Swede is Barbara.\nClue 42: The person who supports the Knicks is somewhere to the left of the squash player.\nClue 43: The Canadian is next to the person at the 2nd position.\nClue 44: The person who supports the Miami Dolphins is not the person who likes mixology.\nClue 45: The person who drives the Ferrari is next to Trinity.\nClue 46: The person who likes Mirinda is the artist.\nClue 47: The person who supports the Green Bay Packers is immediately to the left of the person who drives the Buell.\nClue 48: The Brit is somewhere to the left of the person who drives the Honda.\nClue 49: The person who likes meerkats is the person who drives the Buell.\nClue 50: The person who lives in the teal house is somewhere in between the person who drives the Kawasaki and the person who drinks iced coffee in that order.\nClue 51: Barbara is next to the guitar player.\nClue 52: The oboe player is the person who reads fantasy books.\nClue 53: The person who likes mixology is not the person who supports the Los Angeles Rams.\nClue 54: The person who likes Mountain Dew is the person who likes daisies.\nClue 55: The person who drives the Benelli is not the artist.\nClue 56: Rose is next to the cricket player.\nClue 57: The tennis player is the Hungarian.\nClue 58: The cello player is the person who supports the Mavericks.\nClue 59: The person who drinks iced tea is somewhere to the left of the person who likes language learning.\nClue 60: The person who likes catfish is somewhere to the left of the person who drinks iced coffee.\nClue 61: The person who drives the Bajaj is somewhere to the left of the person who likes language learning.\nClue 62: The person who likes swimming is immediately to the left of the person who supports the Chicago Bears.\nClue 63: The person who reads mystery books is at one of the ends.\nClue 64: The person who likes roses is next to the person who likes mixology.\nClue 65: The person who likes Limca is somewhere to the left of the person who likes drone flying.\nClue 66: The person who drinks water is not the artist.\nClue 67: The artist is immediately to the left of the person who likes peonies.\nClue 68: The person who drives the Ford is immediately to the left of the person who supports the Suns.\nClue 69: The person who drives the Ford is the cello player.\nClue 70: The person who likes meerkats is at one of the ends.\nClue 71: The Bulgarian is immediately to the left of the person who reads spiritual books.\nClue 72: The person who supports the Miami Dolphins is somewhere in between the person who likes hiking and the engineer in that order.\nClue 73: The singer is not the person who drinks iced tea.\nClue 74: Rose is somewhere to the left of the flute player.\nClue 75: The person who reads humor books is the Hungarian.\nClue 76: The person who reads mystery books is next to the volleyball player.\nClue 77: The basketball player is the person at the 3rd position.\nClue 78: The person who eats blueberries is next to the person who lives in the black house.\nClue 79: The basketball player is the harp player.\nClue 80: The person who likes catfish is immediately to the left of the person who likes knitting.\nClue 81: The chef is somewhere in between the person who lives in the brown house and the person who likes snorkeling in that order.\nClue 82: The person who drinks hot chocolate is somewhere to the left of the person who likes skiing.\nClue 83: The person who likes catfish is not the person who drives the Piaggio.\nClue 84: The person who supports the Cincinnati Bengals is somewhere to the left of the person who likes snorkeling.\nClue 85: The person who drives the Buell is at one of the ends.\nClue 86: The Swede is next to Michelle.\nClue 87: The person who supports the Bulls is at one of the ends.\nClue 88: The writer is not the person who drinks lemonade.\nClue 89: The Indian is somewhere in between the person who reads fantasy books and the person who drives the Kia in that order.\nClue 90: The person who drinks tea is next to the person who likes marigolds.\nClue 91: The person who likes knitting is immediately to the left of the person who drinks iced coffee.\nClue 92: The person who likes meerkats is at one of the ends.\nClue 93: The squash player is the person who supports the Cavaliers.\nClue 94: The person who likes hiking is not the person who drives the Ducati.\nClue 95: The person who drives the Bajaj is not the person who likes bird watching.\nClue 96: The person who likes snorkeling is the person who eats raspberries.\nClue 97: The person who likes Sprite is not the person who drives the Benelli.\nClue 98: The person who lives in the orange house is at one of the ends.\nClue 99: The person who likes knitting is somewhere in between the person who supports the Chicago Bears and the person who likes language learning in that order.\nClue 100: The person at the 4th position is the person who drives the Kia.\nClue 101: The person who likes Mirinda is next to the person who drinks iced tea.\nClue 102: The person who likes marigolds is not the person who likes bungee jumping.\nClue 103: The person who likes carnations is the person who drinks tea.\nClue 104: The person who likes language learning is the person who lives in the black house.\nClue 105: The person who likes halibut is the person who likes marigolds.\nClue 106: Charlie is immediately to the left of the Chilean.\nClue 107: The person who likes knitting is somewhere in between the person who likes kite flying and the person who likes Sprite in that order.\nClue 108: Nour is next to Trinity.\nClue 109: The baseball player is the person who reads short story books.\nClue 110: The person who drives the Piaggio is somewhere to the left of the person who supports the Los Angeles Rams.\nClue 111: The person who drinks lemonade is somewhere in between the person who likes dahlias and the person who likes begonias in that order.\nClue 112: The person who eats blueberries is somewhere in between the person who drives the Benelli and the designer in that order.\nClue 113: The person who likes Mountain Dew is somewhere to the left of the person who lives in the black house.\nClue 114: The oboe player is the person who supports the Suns.\nClue 115: The artist is immediately to the left of the person who likes crickets.\nClue 116: The singer is at one of the ends.\nClue 117: The person who likes catfish is somewhere in between the person who eats kiwis and the person who drinks lemonade in that order.\nClue 118: The chef is next to the person who likes Mirinda.\nClue 119: The person who likes Powerade is somewhere in between the person who eats oranges and the person who eats raspberries in that order.\nClue 120: The person who likes halibut is the person who likes bird watching.\nClue 121: The person who likes roses is not the person who likes mixology.\nClue 122: The person who likes knitting is next to the person who supports the Chicago Bears.\nClue 123: The person who eats blueberries is not the person who drinks hot chocolate.\nClue 124: The person who reads science fiction books is somewhere to the left of Rose.\nClue 125: The person who supports the Green Bay Packers is not the person who likes kudus.\nClue 126: The Canadian is the cello player.\nClue 127: The person who eats grapes is somewhere in between the person who lives in the turquoise house and the person who lives in the black house in that order.\nClue 128: The person who likes crocheting is the person who drives the Honda.\nClue 129: The person who likes Mountain Dew is somewhere to the left of the person who likes snorkeling.\nClue 130: The person who supports the Detroit Lions is the person who drives the Kawasaki.\nClue 131: The person who eats blueberries is not the designer.\nClue 132: The person who drinks lemonade is somewhere in between the engineer and the person who likes begonias in that order.\nClue 133: The person who supports the Los Angeles Rams is at one of the ends.\nClue 134: The person who supports the Warriors is next to the person at the 5th position.\nClue 135: The person who likes begonias is the designer.\nClue 136: The person who likes language learning is the designer.\nClue 137: The teacher is the person who likes daisies.\nClue 138: The teacher is the person who supports the Green Bay Packers.\nClue 139: The person who eats grapes is somewhere in between the person who likes drone flying and the person who likes meerkats in that order.\nClue 140: The guitar player is next to the person who supports the Knicks.\nClue 141: The person who drives the Kawasaki is immediately to the left of the person who drives the Benelli.\n\nQuestion: What position is the Brit at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:047", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone plays a different musical instrument: oboe, guitar, harmonica, drums, saxophone, flute, harp.\nEveryone reads a different genre of books: science fiction, humor, fantasy, short story, romance, magical realism, spiritual.\nEveryone plays a different sport: volleyball, cricket, soccer, basketball, ice hockey, squash, badminton.\nEveryone lives in a different colored house: turquoise, beige, teal, cyan, brown, yellow, violet.\nEveryone drives a different car: McLaren, Ferrari, Ford, Tesla, Toyota, Kia, Audi.\nEveryone likes a different physical activity: paragliding, running, swimming, base jumping, bungee jumping, hiking, snorkeling.\nEveryone drinks a different drink: iced tea, water, orange juice, beer, iced coffee, hot chocolate, milk.\nEveryone supports a different NBA team: Celtics, Cavaliers, Hawks, Bulls, Knicks, Suns, Lakers.\nEveryone has a different name: Ahmed, Rajiv, Margaret, Trinity, Mohsen, Rafael, Randy.\nEveryone likes a different type of gemstone: Topaz, Amethysts, Moonstones, Opals, Obsidians, Ambers, Corals.\nEveryone likes a different food: noodles, curry, sandwiches, kebabs, pasta, burgers, fried rice.\nEveryone supports a different NFL team: Buffalo Bills, Arizona Cardinals, Baltimore Ravens, New England Patriots, Cincinnati Bengals, Denver Broncos, Detroit Lions.\nEveryone has a different favorite soft drink: Mountain Dew, Fanta, Dr Pepper, 7up, Mirinda, Gatorade, Pepsi.\nEveryone likes a different type of flower: tulips, lilies, daffodils, peonies, daisies, marigolds, roses.\nEveryone likes a different favorite animal: spiders, beetles, lobsters, chinchillas, whales, catfish, flamingoes.\nEveryone likes a different fruit: oranges, bananas, blueberries, mangoes, strawberries, raspberries, kiwis.\nEveryone owns a different handbag brand: Dolce and Gabbana, Tumi, Coach, Kate Spade, Polo Ralph Lauren, Balenciaga, Michael Kors.\nEveryone has a different profession: doctor, chef, programmer, athlete, spy, architect, designer.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who eats raspberries is next to the cricket player.\nClue 2: The person who likes sandwiches is immediately to the left of the person who supports the Suns.\nClue 3: The guitar player is immediately to the left of the person who likes Gatorade.\nClue 4: The spy is next to the person who likes catfish.\nClue 5: The person who drinks iced tea is the person who likes Amethysts.\nClue 6: The person who likes burgers is not the person who lives in the turquoise house.\nClue 7: The person who owns a Polo Ralph Lauren is immediately to the left of the person who likes daisies.\nClue 8: The person who supports the Cavaliers is at one of the ends.\nClue 9: The person who lives in the cyan house is the person who likes bungee jumping.\nClue 10: The person who likes spiders is next to the person who supports the Detroit Lions.\nClue 11: The person who owns a Balenciaga is next to the person who supports the Suns.\nClue 12: The person who eats strawberries is somewhere in between Trinity and the person who drives the Tesla in that order.\nClue 13: The person who lives in the cyan house is immediately to the left of the person who drinks iced coffee.\nClue 14: The person who supports the Baltimore Ravens is not the person who lives in the yellow house.\nClue 15: The person who drinks beer is the person who supports the Knicks.\nClue 16: The person who supports the Baltimore Ravens is the person who drinks beer.\nClue 17: The chef is the person who drinks iced coffee.\nClue 18: The person who drinks orange juice is the person who owns a Kate Spade.\nClue 19: The person who reads fantasy books is the person who likes Dr Pepper.\nClue 20: The person who likes roses is not the person who lives in the cyan house.\nClue 21: The person who supports the Bulls is somewhere in between the person who likes base jumping and the chef in that order.\nClue 22: The person who owns a Dolce and Gabbana is the designer.\nClue 23: The programmer is at one of the ends.\nClue 24: The person who likes marigolds is somewhere in between the spy and the person who drinks orange juice in that order.\nClue 25: The person who likes paragliding is somewhere to the left of the person who supports the New England Patriots.\nClue 26: The person who drives the Tesla is the person who likes Mirinda.\nClue 27: The person who lives in the turquoise house is somewhere to the left of the person who likes bungee jumping.\nClue 28: The person who likes beetles is somewhere in between the programmer and the designer in that order.\nClue 29: The person who eats raspberries is somewhere to the left of the person who likes Fanta.\nClue 30: The person who likes flamingoes is somewhere in between the person who likes sandwiches and the person who supports the New England Patriots in that order.\nClue 31: The person who likes beetles is not the person who supports the Arizona Cardinals.\nClue 32: The person who likes peonies is at one of the ends.\nClue 33: The person who likes Amethysts is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 34: The person who likes Topaz is somewhere in between the person who drinks iced tea and the person who drinks orange juice in that order.\nClue 35: The person who likes kebabs is somewhere to the left of the person who likes lobsters.\nClue 36: The ice hockey player is somewhere to the left of the person at the 4th position.\nClue 37: The person who supports the New England Patriots is not the person who likes burgers.\nClue 38: The person who supports the Arizona Cardinals is immediately to the left of the chef.\nClue 39: The person who lives in the violet house is at one of the ends.\nClue 40: The harmonica player is the ice hockey player.\nClue 41: The person who likes roses is not the person who likes burgers.\nClue 42: The person who lives in the brown house is at one of the ends.\nClue 43: The person who supports the Cincinnati Bengals is somewhere in between the person who likes roses and the person who likes running in that order.\nClue 44: The person who likes running is somewhere to the left of the person who supports the Celtics.\nClue 45: The person who owns a Polo Ralph Lauren is not the person who likes daffodils.\nClue 46: The doctor is next to the person who supports the Baltimore Ravens.\nClue 47: The person who supports the Detroit Lions is somewhere to the left of the person who likes curry.\nClue 48: The person who lives in the teal house is next to the person who lives in the beige house.\nClue 49: The person who owns a Michael Kors is somewhere to the left of the person who likes noodles.\nClue 50: The person who likes daffodils is immediately to the left of the person who likes Corals.\nClue 51: The person who likes burgers is the person who lives in the cyan house.\nClue 52: Ahmed is at one of the ends.\nClue 53: The person who likes running is next to the person who supports the Bulls.\nClue 54: Ahmed is the person who eats mangoes.\nClue 55: The person who supports the New England Patriots is not the person who likes spiders.\nClue 56: The person who lives in the violet house is next to the person who supports the Arizona Cardinals.\nClue 57: The person who likes bungee jumping is the person who likes tulips.\nClue 58: The person who reads romance books is next to the person who drives the Tesla.\nClue 59: The person who supports the Bulls is somewhere in between the person who owns a Dolce and Gabbana and the person who supports the New England Patriots in that order.\nClue 60: The ice hockey player is the person who reads magical realism books.\nClue 61: The person who supports the Suns is somewhere to the left of the person who likes noodles.\nClue 62: The person who likes Fanta is the person who reads short story books.\nClue 63: The person who likes kebabs is somewhere in between the person who lives in the teal house and the person who supports the New England Patriots in that order.\nClue 64: The athlete is immediately to the left of the person who owns a Michael Kors.\nClue 65: The person who likes beetles is somewhere in between the person who drinks water and the person who likes Obsidians in that order.\nClue 66: The person who eats kiwis is the person who likes 7up.\nClue 67: Ahmed is next to the person who eats blueberries.\nClue 68: The person who likes noodles is somewhere in between the person who drinks iced tea and the person who likes Moonstones in that order.\nClue 69: The person who likes swimming is somewhere in between the person who owns a Balenciaga and the person who owns a Dolce and Gabbana in that order.\nClue 70: The harmonica player is immediately to the left of the saxophone player.\nClue 71: The person who likes beetles is somewhere in between the person who owns a Coach and the doctor in that order.\nClue 72: The cricket player is the oboe player.\nClue 73: The harp player is at one of the ends.\nClue 74: The person who likes roses is the person who drinks hot chocolate.\nClue 75: The person who lives in the cyan house is the architect.\nClue 76: The person who likes marigolds is immediately to the left of the person who supports the Baltimore Ravens.\nClue 77: The person who eats mangoes is next to the soccer player.\nClue 78: The person who likes hiking is at one of the ends.\nClue 79: The person who owns a Kate Spade is somewhere in between the person who supports the Baltimore Ravens and the person who lives in the violet house in that order.\nClue 80: The person who likes 7up is at one of the ends.\nClue 81: The person who drives the Ford is the person at the 1st position.\nClue 82: The person who eats kiwis is next to the oboe player.\nClue 83: The person who lives in the cyan house is the person who drinks orange juice.\nClue 84: The person who likes Fanta is the person who drives the Toyota.\nClue 85: The person who drinks iced coffee is the person who likes peonies.\nClue 86: The soccer player is next to the flute player.\nClue 87: The person who lives in the yellow house is the person who owns a Polo Ralph Lauren.\nClue 88: The person who lives in the cyan house is somewhere in between the designer and the person who likes Obsidians in that order.\nClue 89: The person who lives in the teal house is the person who supports the Buffalo Bills.\nClue 90: The person who lives in the brown house is not the person who owns a Dolce and Gabbana.\nClue 91: The person who likes paragliding is not the person who likes Topaz.\nClue 92: The person who drives the McLaren is the person who likes 7up.\nClue 93: The person who lives in the yellow house is the person who drinks iced tea.\nClue 94: The person who drinks iced tea is next to the person who likes beetles.\nClue 95: The person who likes swimming is somewhere in between the person who likes Ambers and the spy in that order.\nClue 96: The person who supports the New England Patriots is not the person who supports the Cavaliers.\nClue 97: The person who likes peonies is next to the person who likes bungee jumping.\nClue 98: The basketball player is immediately to the left of the person who eats oranges.\nClue 99: The person who likes Opals is somewhere in between the person who drinks milk and the person who likes tulips in that order.\nClue 100: The person who drives the Kia is the person who eats bananas.\nClue 101: The person who likes pasta is next to the architect.\nClue 102: The person who likes Fanta is somewhere to the left of Randy.\nClue 103: The person who drinks beer is immediately to the left of the architect.\nClue 104: The person who supports the Hawks is not the person who supports the New England Patriots.\nClue 105: The person who supports the Arizona Cardinals is immediately to the left of the person who likes Obsidians.\nClue 106: The person who likes beetles is the person who supports the Lakers.\nClue 107: The person who supports the Baltimore Ravens is the person who likes running.\nClue 108: The person who likes paragliding is at one of the ends.\nClue 109: The person who owns a Michael Kors is somewhere in between the person who likes lilies and the person who likes flamingoes in that order.\nClue 110: The person who likes chinchillas is not the person who likes Topaz.\nClue 111: The person who likes paragliding is the person who likes Ambers.\nClue 112: The person who likes tulips is immediately to the left of the person who lives in the violet house.\nClue 113: The person who likes whales is not the person who supports the Bulls.\nClue 114: The person who likes snorkeling is the doctor.\nClue 115: The person who likes Ambers is at one of the ends.\nClue 116: The doctor is somewhere in between the person who likes Ambers and the person who owns a Dolce and Gabbana in that order.\nClue 117: The person who eats raspberries is the person who drives the Tesla.\nClue 118: The person who lives in the brown house is somewhere to the left of the person who likes whales.\nClue 119: Rafael is the person who reads short story books.\nClue 120: The person who likes swimming is the person who likes lilies.\nClue 121: The person who lives in the teal house is the person who likes curry.\nClue 122: The person who likes pasta is not the person who lives in the brown house.\nClue 123: The person who owns a Kate Spade is next to the person who likes lobsters.\nClue 124: The person who likes roses is not the person who supports the New England Patriots.\nClue 125: The designer is somewhere in between the person who drinks iced tea and the person who likes pasta in that order.\nClue 126: The person who likes Pepsi is the guitar player.\nClue 127: The person who lives in the turquoise house is somewhere in between the programmer and the person who likes chinchillas in that order.\nClue 128: The spy is immediately to the left of the doctor.\nClue 129: Margaret is the person who eats blueberries.\nClue 130: The person who drives the Audi is immediately to the left of Mohsen.\nClue 131: The architect is immediately to the left of the person who supports the Celtics.\nClue 132: The oboe player is somewhere in between the person who reads humor books and the badminton player in that order.\nClue 133: The person who likes Dr Pepper is immediately to the left of the person who reads science fiction books.\nClue 134: The person who supports the Knicks is somewhere to the left of the person who drinks iced coffee.\nClue 135: The person who likes curry is somewhere in between the person who likes lilies and the person who likes tulips in that order.\nClue 136: The person who reads science fiction books is immediately to the left of the person who reads magical realism books.\nClue 137: The squash player is at one of the ends.\n\nQuestion: What position is the person who eats bananas at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:048", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different type of flower: peonies, daisies, begonias, tulips, orchids, marigolds, daffodils.\nEveryone supports a different NBA team: Cavaliers, Bulls, Celtics, Bucks, Warriors, Hawks, Suns.\nEveryone owns a different handbag brand: Balenciaga, Gucci, Coach, Polo Ralph Lauren, Tory Burch, Michael Kors, Versace.\nEveryone smokes a different cigarette: Pall Mall, Salem, Winston, Davidoff, Blends, Dunhill, Camel.\nEveryone drives a different car: Lexus, Audi, Toyota, Ferrari, Mercedes, Ford, Honda.\nEveryone has a different name: Nour, Charlie, Wang, Tao, Alex, Ahmed, Karan.\nEveryone has a different profession: designer, chef, engineer, doctor, singer, athlete, artist.\nEveryone reads a different genre of books: history, short story, romance, fantasy, magical realism, humor, mystery.\nEveryone lives in a different colored house: blue, cyan, black, orange, green, gold, violet.\nEveryone drinks a different drink: lemonade, beer, orange juice, iced coffee, iced tea, milk, hot chocolate.\nEveryone likes a different food: soups, pasta, kebabs, curry, tacos, fried rice, pizza.\nEveryone has a different favorite soft drink: Limca, Mountain Dew, Mirinda, Powerade, Dr Pepper, Fanta, Pepsi.\nEveryone likes a different physical activity: running, weight lifting, skiing, hiking, snorkeling, scuba diving, base jumping.\nEveryone has a different favorite hobby: cooking, baking, beekeeping, bird watching, origami, parkour, kite flying.\nEveryone supports a different NFL team: Seattle Seahawks, Miami Dolphins, Chicago Bears, San Francisco 49ers, Dallas Cowboys, Carolina Panthers, Philadelphia Eagles.\nEveryone drives a different motorbike: Yamaha, Kawasaki, Harley-Davidson, Bajaj, Suzuki, Honda, Buell.\nEveryone likes a different fruit: pears, mangoes, blueberries, bananas, blackberries, kiwis, strawberries.\nEveryone plays a different musical instrument: harp, violin, cello, guitar, saxophone, oboe, piano.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Harley-Davidson is somewhere to the left of the athlete.\nClue 2: Karan is the person who drives the Audi.\nClue 3: The person who likes skiing is next to the person who eats strawberries.\nClue 4: The oboe player is somewhere in between the person who smokes Salem and the person who likes marigolds in that order.\nClue 5: The person who reads mystery books is immediately to the left of the person who eats mangoes.\nClue 6: The person who lives in the black house is the person who reads magical realism books.\nClue 7: The person who likes skiing is at one of the ends.\nClue 8: The person who supports the Seattle Seahawks is immediately to the left of the person who likes kebabs.\nClue 9: The person who smokes Winston is somewhere to the left of the person who drinks orange juice.\nClue 10: The person who drinks lemonade is the person who likes Mirinda.\nClue 11: The person who drinks beer is somewhere to the left of the person who drinks orange juice.\nClue 12: The person who likes daffodils is not the person who smokes Winston.\nClue 13: The person who likes peonies is immediately to the left of the person who likes orchids.\nClue 14: The person who likes Powerade is next to the person who supports the Chicago Bears.\nClue 15: The person who drives the Lexus is Nour.\nClue 16: The person who likes kite flying is immediately to the left of Ahmed.\nClue 17: The person who supports the Carolina Panthers is somewhere in between the person who likes snorkeling and the person who drinks lemonade in that order.\nClue 18: The person who likes Mirinda is not the person who smokes Winston.\nClue 19: The person who likes orchids is not the person who smokes Dunhill.\nClue 20: The person who smokes Salem is somewhere to the left of the person who supports the Philadelphia Eagles.\nClue 21: The person who likes kebabs is the person who eats strawberries.\nClue 22: The person who likes scuba diving is not the person who supports the Carolina Panthers.\nClue 23: The person who eats bananas is at one of the ends.\nClue 24: The person who eats blueberries is immediately to the left of the person who drinks iced tea.\nClue 25: The oboe player is somewhere in between the person who likes running and the person who likes scuba diving in that order.\nClue 26: The person who supports the Carolina Panthers is immediately to the left of the person who likes hiking.\nClue 27: The person who drives the Harley-Davidson is immediately to the left of Charlie.\nClue 28: The person who drinks milk is somewhere to the left of the person who likes daffodils.\nClue 29: The person who supports the Dallas Cowboys is not the person who likes weight lifting.\nClue 30: Ahmed is the person who supports the Celtics.\nClue 31: The person who smokes Pall Mall is the person who likes pizza.\nClue 32: The person who drives the Honda is the chef.\nClue 33: The person who likes Fanta is somewhere in between the person who likes kebabs and the person who lives in the orange house in that order.\nClue 34: The person who reads fantasy books is the person who eats bananas.\nClue 35: The person who drinks hot chocolate is next to the person who likes Fanta.\nClue 36: The person who smokes Camel is at one of the ends.\nClue 37: The person who likes peonies is somewhere to the left of the person who reads humor books.\nClue 38: The person who eats strawberries is somewhere in between the person who eats bananas and the person who drinks iced tea in that order.\nClue 39: Tao is the person who owns a Polo Ralph Lauren.\nClue 40: The person who drinks hot chocolate is somewhere in between the person who drinks iced coffee and the person who reads humor books in that order.\nClue 41: The person who supports the Warriors is somewhere in between the person who supports the Bucks and the person who owns a Tory Burch in that order.\nClue 42: The person who drives the Ford is not the person who likes baking.\nClue 43: The person who drives the Suzuki is at one of the ends.\nClue 44: The person who likes hiking is immediately to the left of the person who eats blackberries.\nClue 45: The person who drinks iced coffee is the person who likes begonias.\nClue 46: The person who owns a Balenciaga is Wang.\nClue 47: The person who eats mangoes is somewhere in between the person who supports the Chicago Bears and the person who drinks lemonade in that order.\nClue 48: The person who likes daisies is somewhere in between the person who likes Dr Pepper and the person who reads magical realism books in that order.\nClue 49: The person who smokes Blends is the person who supports the Seattle Seahawks.\nClue 50: The person who drives the Yamaha is immediately to the left of the person who drives the Kawasaki.\nClue 51: The person who drinks orange juice is at one of the ends.\nClue 52: The person who likes pasta is the person who likes daisies.\nClue 53: The person who lives in the green house is somewhere in between the harp player and the person who reads romance books in that order.\nClue 54: The person who owns a Versace is immediately to the left of the person who likes bird watching.\nClue 55: The person who supports the Celtics is the singer.\nClue 56: The person who lives in the orange house is the person who reads short story books.\nClue 57: The person who likes soups is next to the person who likes daffodils.\nClue 58: The person who smokes Pall Mall is the oboe player.\nClue 59: The person who likes parkour is the person who drives the Bajaj.\nClue 60: The violin player is not the person who smokes Winston.\nClue 61: The person who owns a Polo Ralph Lauren is somewhere to the left of the artist.\nClue 62: The person who likes beekeeping is next to the person who likes parkour.\nClue 63: The person who lives in the cyan house is not the person who reads history books.\nClue 64: The person who eats blackberries is the person who reads history books.\nClue 65: The person who drinks milk is not the person who reads mystery books.\nClue 66: The person who supports the Cavaliers is the person who drives the Ferrari.\nClue 67: The person who supports the Suns is at one of the ends.\nClue 68: The person who smokes Salem is somewhere in between the guitar player and the person who smokes Pall Mall in that order.\nClue 69: The person who likes weight lifting is somewhere to the left of the person who smokes Pall Mall.\nClue 70: The person who drinks milk is somewhere to the left of the person who lives in the black house.\nClue 71: The person who likes Fanta is not the person who smokes Davidoff.\nClue 72: The person who likes curry is at one of the ends.\nClue 73: The person who supports the Chicago Bears is not the person who lives in the orange house.\nClue 74: The person at the 7th position is the person who drives the Ford.\nClue 75: The person who eats bananas is at one of the ends.\nClue 76: The person who drinks iced coffee is the person who eats strawberries.\nClue 77: The person who reads romance books is the person who likes pasta.\nClue 78: The person who eats bananas is not the person who reads short story books.\nClue 79: The designer is the person who drives the Audi.\nClue 80: The person who supports the Seattle Seahawks is at one of the ends.\nClue 81: The person who drinks iced tea is somewhere in between the person who drinks hot chocolate and the person who smokes Pall Mall in that order.\nClue 82: The person who drives the Bajaj is immediately to the left of the person at the 6th position.\nClue 83: The person who reads magical realism books is immediately to the left of the person who likes running.\nClue 84: The person who drives the Ford is next to the person who drives the Honda.\nClue 85: The person who likes Mountain Dew is the person who eats blackberries.\nClue 86: The person who eats blackberries is the person who reads history books.\nClue 87: The person who drives the Toyota is somewhere to the left of the person who owns a Polo Ralph Lauren.\nClue 88: The person who lives in the black house is somewhere to the left of the person who likes Mountain Dew.\nClue 89: The person who lives in the orange house is somewhere to the left of the person who smokes Camel.\nClue 90: The person who owns a Coach is immediately to the left of the person who drives the Yamaha.\nClue 91: The person who drives the Bajaj is next to the person who drives the Ferrari.\nClue 92: The person who supports the Bulls is next to the person who owns a Balenciaga.\nClue 93: The person who likes fried rice is somewhere in between the person who likes Limca and the person who likes daffodils in that order.\nClue 94: The person who supports the San Francisco 49ers is the person who likes pasta.\nClue 95: The person who drinks hot chocolate is next to the person who likes orchids.\nClue 96: The person who likes daffodils is not the person who likes scuba diving.\nClue 97: The person who likes skiing is at one of the ends.\nClue 98: The person who supports the Chicago Bears is next to the person who likes pasta.\nClue 99: The person who eats pears is the person who lives in the gold house.\nClue 100: The person who drives the Ferrari is next to Ahmed.\nClue 101: The person who eats bananas is at one of the ends.\nClue 102: Charlie is at one of the ends.\nClue 103: The person who likes Pepsi is not the person who likes daffodils.\nClue 104: The person who supports the Seattle Seahawks is not the person who likes running.\nClue 105: The person who smokes Salem is somewhere in between the person who likes weight lifting and the oboe player in that order.\nClue 106: The person who eats blueberries is somewhere in between the person who likes daisies and the person who lives in the orange house in that order.\nClue 107: Wang is somewhere to the left of the doctor.\nClue 108: The person who lives in the blue house is immediately to the left of the cello player.\nClue 109: The saxophone player is not the person who likes pizza.\nClue 110: The person who smokes Davidoff is not the person who likes tulips.\nClue 111: The person who supports the Dallas Cowboys is the person who smokes Davidoff.\nClue 112: The chef is next to the person who drives the Yamaha.\nClue 113: The piano player is not the person who eats bananas.\nClue 114: The person who eats blackberries is at one of the ends.\nClue 115: The person who lives in the gold house is next to the person who likes fried rice.\nClue 116: The person who owns a Coach is the person who likes cooking.\nClue 117: The person who owns a Versace is immediately to the left of the person who supports the Cavaliers.\nClue 118: The person who lives in the black house is the guitar player.\nClue 119: The engineer is somewhere to the left of the person who drives the Buell.\nClue 120: Karan is the person who drives the Bajaj.\nClue 121: The person who likes Limca is at one of the ends.\nClue 122: The athlete is next to the person who owns a Gucci.\nClue 123: The violin player is not the person who reads romance books.\nClue 124: The person who reads history books is not the person who likes Limca.\nClue 125: The person who smokes Blends is at one of the ends.\nClue 126: The person who likes Dr Pepper is not the person who eats bananas.\nClue 127: The person who smokes Camel is at one of the ends.\nClue 128: The person who supports the Hawks is next to the person who supports the Warriors.\nClue 129: The person who likes peonies is somewhere to the left of the person who reads short story books.\nClue 130: The person who likes Fanta is somewhere to the left of the person who eats kiwis.\nClue 131: The person who likes skiing is the person who lives in the blue house.\nClue 132: The person who lives in the blue house is next to the person who reads mystery books.\nClue 133: The person who owns a Tory Burch is next to the person who supports the Warriors.\nClue 134: The person who reads magical realism books is somewhere in between the piano player and the person who supports the Miami Dolphins in that order.\nClue 135: The person who smokes Davidoff is not the person who likes orchids.\nClue 136: The person who likes fried rice is next to the piano player.\nClue 137: The person who drives the Mercedes is next to the person who likes cooking.\nClue 138: The chef is at one of the ends.\nClue 139: The person who likes daffodils is somewhere to the left of the person who likes soups.\nClue 140: The person who supports the Miami Dolphins is somewhere in between the person who drinks iced tea and the person who likes Mountain Dew in that order.\nClue 141: The person who supports the Philadelphia Eagles is the person who drinks orange juice.\n\nQuestion: What position is the person who drives the Yamaha at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:050", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone plays a different sport: soccer, squash, ice hockey, basketball, baseball, tennis.\nEveryone likes a different physical activity: base jumping, snorkeling, scuba diving, biking, skiing, weight lifting.\nEveryone drives a different car: Mercedes, BMW, Honda, Ferrari, Tesla, Hyundai.\nEveryone plays a different musical instrument: oboe, drums, harp, violin, flute, saxophone.\nEveryone has a different profession: designer, architect, singer, artist, teacher, writer.\nEveryone has a different favorite soft drink: Fanta, Limca, Mirinda, Sprite, Dr Pepper, Coke.\nEveryone smokes a different cigarette: Camel, Winston, Dunhill, Salem, Blue Master, Blends.\nEveryone likes a different food: pasta, tacos, fried rice, curry, noodles, sandwiches.\nEveryone likes a different type of gemstone: Diamonds, Emeralds, Jade, Rubies, Topaz, Corals.\nEveryone reads a different genre of books: humor, science fiction, romance, short story, spiritual, fantasy.\nEveryone drives a different motorbike: Kawasaki, Ducati, Piaggio, Bajaj, Harley-Davidson, Benelli.\nEveryone supports a different NBA team: Bucks, Lakers, Mavericks, Bulls, Knicks, Warriors.\nEveryone has a different favorite hobby: cooking, wine making, camping, kayaking, knitting, skiing.\nEveryone has a different name: Wang, Barbara, Margaret, Mohan, Mohsen, Yair.\nEveryone lives in a different colored house: gold, brown, blue, cyan, turquoise, teal.\nEveryone likes a different type of flower: daisies, marigolds, orchids, daffodils, dahlias, carnations.\nEveryone drinks a different drink: iced coffee, iced tea, hot chocolate, water, tea, milk.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Blends is at one of the ends.\nClue 2: The harp player is next to the person who drives the Bajaj.\nClue 3: The flute player is somewhere in between the saxophone player and the person who smokes Salem in that order.\nClue 4: The person who likes orchids is immediately to the left of the person who supports the Mavericks.\nClue 5: The person who drinks water is somewhere to the left of the oboe player.\nClue 6: The person who drinks water is not the person who likes kayaking.\nClue 7: The person who likes fried rice is immediately to the left of the person who likes daffodils.\nClue 8: The person who reads science fiction books is next to the person who reads romance books.\nClue 9: The person who likes Fanta is immediately to the left of the person who smokes Blends.\nClue 10: The person who supports the Bulls is at one of the ends.\nClue 11: The person who likes orchids is at one of the ends.\nClue 12: The person who reads short story books is the person who drives the Kawasaki.\nClue 13: The soccer player is somewhere in between the person who drives the Tesla and the harp player in that order.\nClue 14: The person who supports the Warriors is immediately to the left of the singer.\nClue 15: The person who likes kayaking is not the person who drives the BMW.\nClue 16: The person who reads spiritual books is immediately to the left of the soccer player.\nClue 17: The harp player is immediately to the left of Mohsen.\nClue 18: Mohsen is the person who likes Sprite.\nClue 19: The person who drives the Ducati is not the person who drinks hot chocolate.\nClue 20: The teacher is not the person who lives in the brown house.\nClue 21: The saxophone player is at one of the ends.\nClue 22: The person who drives the Bajaj is the soccer player.\nClue 23: Yair is not the person who drinks milk.\nClue 24: The person who likes Sprite is at one of the ends.\nClue 25: The person who drives the Hyundai is next to Barbara.\nClue 26: The person who drives the Benelli is not the person who likes wine making.\nClue 27: The person who likes Rubies is not the person who drinks iced tea.\nClue 28: The person who smokes Camel is not the person who likes skiing.\nClue 29: The person who likes cooking is somewhere to the left of the person who drives the Harley-Davidson.\nClue 30: The person who supports the Bucks is the person who likes carnations.\nClue 31: The person who drinks tea is the person who likes Mirinda.\nClue 32: The violin player is somewhere in between the person who likes Diamonds and the person who reads humor books in that order.\nClue 33: The person who lives in the cyan house is the person who supports the Mavericks.\nClue 34: The person who reads romance books is somewhere in between the person who drives the Mercedes and the basketball player in that order.\nClue 35: The person who likes noodles is next to the person who supports the Lakers.\nClue 36: The person who drives the Bajaj is somewhere in between the person who likes skiing and Margaret in that order.\nClue 37: The person who drives the Kawasaki is at one of the ends.\nClue 38: The person who drives the Kawasaki is at one of the ends.\nClue 39: The person who likes Corals is somewhere to the left of the person who drinks water.\nClue 40: The person who likes Dr Pepper is not the person who reads spiritual books.\nClue 41: The person who likes wine making is at one of the ends.\nClue 42: The person who drinks iced coffee is the person who likes Corals.\nClue 43: The person who drives the Kawasaki is not the person who smokes Blends.\nClue 44: The person who likes weight lifting is immediately to the left of the person who supports the Lakers.\nClue 45: The person who likes Dr Pepper is at one of the ends.\nClue 46: The person who smokes Winston is somewhere in between Yair and the basketball player in that order.\nClue 47: The person who likes skiing is the person who likes Coke.\nClue 48: Barbara is not the person who smokes Camel.\nClue 49: The person who likes marigolds is next to the person who likes weight lifting.\nClue 50: Yair is the person who smokes Blue Master.\nClue 51: The person who supports the Warriors is the person who lives in the gold house.\nClue 52: Wang is the person who drives the Ducati.\nClue 53: The writer is the person who likes fried rice.\nClue 54: The person who likes biking is immediately to the left of the person who likes base jumping.\nClue 55: The person who drives the Kawasaki is immediately to the left of the person who likes Corals.\nClue 56: The person who reads spiritual books is next to the person who likes Jade.\nClue 57: The person who drinks hot chocolate is next to the ice hockey player.\nClue 58: The person who likes Fanta is not Yair.\nClue 59: The harp player is next to the person who drives the Harley-Davidson.\nClue 60: The drums player is not the basketball player.\nClue 61: The person who lives in the brown house is at one of the ends.\nClue 62: The person who reads fantasy books is somewhere to the left of the person who drives the BMW.\nClue 63: The person who drinks hot chocolate is the person who likes Sprite.\nClue 64: The person who lives in the blue house is the person who likes sandwiches.\nClue 65: The tennis player is the person who drives the Hyundai.\nClue 66: The person who likes pasta is at one of the ends.\nClue 67: Mohan is immediately to the left of the person who likes Limca.\nClue 68: The person who likes Limca is not the person who likes Emeralds.\nClue 69: The person who drives the Hyundai is somewhere in between the squash player and the flute player in that order.\nClue 70: Margaret is somewhere to the left of the oboe player.\nClue 71: The person who reads humor books is the soccer player.\nClue 72: The person who drives the Ferrari is not the person who drives the Bajaj.\nClue 73: The saxophone player is somewhere to the left of the person who drinks water.\nClue 74: The harp player is Margaret.\nClue 75: The person who drives the Harley-Davidson is not the person who drives the Mercedes.\nClue 76: The person who likes skiing is somewhere in between the person who likes Corals and the person who likes Fanta in that order.\nClue 77: The person who likes Emeralds is not the person who smokes Winston.\nClue 78: The person who reads science fiction books is not the ice hockey player.\nClue 79: The person who reads humor books is not the person who drives the Ferrari.\nClue 80: The architect is next to the person at the 3rd position.\nClue 81: The person who reads fantasy books is immediately to the left of the person who drives the Hyundai.\nClue 82: The person who likes sandwiches is at one of the ends.\nClue 83: The person who drinks water is the person who likes Topaz.\nClue 84: The person who drinks hot chocolate is at one of the ends.\nClue 85: The person who drinks iced coffee is immediately to the left of the person who drives the Piaggio.\nClue 86: The person who drinks water is not the person who likes kayaking.\nClue 87: The person who likes carnations is somewhere to the left of the person who lives in the gold house.\nClue 88: The person who drinks tea is somewhere in between the person who drives the Honda and the person who likes Fanta in that order.\nClue 89: The person who drinks iced tea is not the person who likes camping.\nClue 90: The person who drinks iced tea is at one of the ends.\nClue 91: The person who likes Topaz is somewhere in between the person who drives the Tesla and the person who smokes Winston in that order.\nClue 92: The person who likes Sprite is not the person who likes knitting.\nClue 93: The person who likes Rubies is not Barbara.\nClue 94: The person who supports the Warriors is the designer.\nClue 95: The violin player is not the person who likes wine making.\nClue 96: The person who drinks milk is somewhere in between the person who likes Jade and the person who reads science fiction books in that order.\nClue 97: The person who smokes Camel is next to the squash player.\nClue 98: The person who likes sandwiches is the person who likes marigolds.\nClue 99: The person who reads short story books is next to the squash player.\nClue 100: The person who drinks water is somewhere in between the person who reads fantasy books and the person who drives the Mercedes in that order.\nClue 101: The person who drinks tea is somewhere in between the person who drives the Hyundai and the person who drives the BMW in that order.\nClue 102: The person who supports the Mavericks is the person who likes daisies.\nClue 103: The person who drives the Harley-Davidson is Mohsen.\nClue 104: The person who likes cooking is somewhere in between the person who reads humor books and the oboe player in that order.\nClue 105: The person who drives the Kawasaki is not the person who likes Coke.\nClue 106: Wang is somewhere in between the person who smokes Camel and the person who drinks water in that order.\nClue 107: The violin player is the person who smokes Blue Master.\nClue 108: The person who reads short story books is at one of the ends.\nClue 109: The person who supports the Bulls is next to the person who likes tacos.\nClue 110: The person who lives in the teal house is immediately to the left of the person who likes carnations.\nClue 111: The oboe player is at one of the ends.\nClue 112: The person who likes Diamonds is not the person who drives the BMW.\nClue 113: The harp player is somewhere in between the person who likes Mirinda and Mohsen in that order.\nClue 114: The person who likes biking is the person who likes orchids.\nClue 115: The person who likes Jade is not Mohsen.\nClue 116: The person who likes Rubies is somewhere in between the person who drives the Piaggio and Mohsen in that order.\nClue 117: The soccer player is not the person who drives the Piaggio.\nClue 118: Mohsen is next to the person who drinks milk.\nClue 119: The person who likes noodles is immediately to the left of the person who likes scuba diving.\nClue 120: The person who drives the Ferrari is next to the ice hockey player.\nClue 121: The person who likes wine making is at one of the ends.\nClue 122: The baseball player is at one of the ends.\nClue 123: Margaret is somewhere in between Barbara and the person who likes Emeralds in that order.\nClue 124: The person who lives in the teal house is the person who likes skiing.\nClue 125: Margaret is somewhere in between the soccer player and the person who drinks hot chocolate in that order.\nClue 126: The person who drives the Bajaj is the person who drinks tea.\nClue 127: The person who drinks water is next to the drums player.\nClue 128: The person who drives the Mercedes is immediately to the left of the person who smokes Salem.\n\nQuestion: What position is the person who likes fried rice at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:053", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different name: Rose, Joseph, Katherine, Mandy, Tao.\nEveryone has a different favorite soft drink: Pepsi, Mountain Dew, Fanta, Limca, Dr Pepper.\nEveryone likes a different type of gemstone: Obsidians, Emeralds, Amethysts, Rubies, Topaz.\nEveryone drives a different car: Toyota, BMW, Lexus, McLaren, Mercedes.\nEveryone likes a different food: curry, fried rice, burgers, pizza, soups.\nEveryone plays a different musical instrument: violin, saxophone, piano, cello, oboe.\nEveryone lives in a different colored house: brown, beige, cyan, pink, blue.\nEveryone has a different favorite hobby: pottery, metal detecting, canoeing, cooking, fishing.\nEveryone reads a different genre of books: spiritual, mystery, short story, science fiction, fantasy.\nEveryone supports a different NBA team: Cavaliers, Knicks, Warriors, Bucks, Hawks.\nEveryone owns a different handbag brand: Coach, Versace, Polo Ralph Lauren, Tory Burch, Gucci.\nEveryone likes a different type of flower: carnations, peonies, tulips, daffodils, orchids.\nEveryone supports a different NFL team: Detroit Lions, Kansas City Chiefs, Carolina Panthers, Miami Dolphins, Cincinnati Bengals.\nEveryone drives a different motorbike: Suzuki, Ducati, Honda, Harley-Davidson, Kawasaki.\nEveryone has a different profession: writer, spy, chef, athlete, designer.\nEveryone drinks a different drink: tea, water, beer, iced tea, coffee.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Harley-Davidson is immediately to the left of the person who supports the Warriors.\nClue 2: The person who likes burgers is immediately to the left of the person who likes soups.\nClue 3: The person who supports the Bucks is somewhere to the left of the athlete.\nClue 4: Rose is immediately to the left of the person who likes carnations.\nClue 5: Joseph is at one of the ends.\nClue 6: Katherine is next to the person who supports the Detroit Lions.\nClue 7: The person who lives in the cyan house is not the person who likes Fanta.\nClue 8: The person who likes Dr Pepper is somewhere to the left of the saxophone player.\nClue 9: The person who likes canoeing is somewhere in between the violin player and the person who supports the Miami Dolphins in that order.\nClue 10: The person who likes Topaz is immediately to the left of the person who likes cooking.\nClue 11: The person who lives in the pink house is somewhere in between the person who lives in the beige house and the person who drives the McLaren in that order.\nClue 12: The person who supports the Kansas City Chiefs is immediately to the left of the person who supports the Detroit Lions.\nClue 13: The person who lives in the blue house is not the person who drives the Toyota.\nClue 14: The person who likes pottery is not the cello player.\nClue 15: The person who likes Dr Pepper is next to Tao.\nClue 16: The person who owns a Tory Burch is somewhere in between the person who likes Emeralds and the person who likes Mountain Dew in that order.\nClue 17: The person who supports the Kansas City Chiefs is the person who likes Emeralds.\nClue 18: The person who lives in the pink house is next to the person who reads science fiction books.\nClue 19: The person who supports the Kansas City Chiefs is not the cello player.\nClue 20: The person who likes peonies is not the person who reads mystery books.\nClue 21: The person who supports the Hawks is the person who drinks tea.\nClue 22: The person who reads mystery books is immediately to the left of the person who supports the Detroit Lions.\nClue 23: The person who reads fantasy books is not Mandy.\nClue 24: The person who likes Amethysts is not the cello player.\nClue 25: The piano player is somewhere in between the person who likes Amethysts and the person who likes Pepsi in that order.\nClue 26: The person who supports the Cincinnati Bengals is somewhere in between the person who likes daffodils and the person who supports the Miami Dolphins in that order.\nClue 27: The person who reads spiritual books is somewhere in between the person who likes pottery and the person who likes Rubies in that order.\nClue 28: The person who likes Obsidians is immediately to the left of the person who likes orchids.\nClue 29: The person who supports the Bucks is somewhere to the left of the person who drives the Honda.\nClue 30: The person who owns a Versace is not the person who likes metal detecting.\nClue 31: The person who likes Obsidians is next to the person who supports the Miami Dolphins.\nClue 32: The spy is at one of the ends.\nClue 33: The person who drinks coffee is at one of the ends.\nClue 34: The person who lives in the beige house is somewhere in between the violin player and Katherine in that order.\nClue 35: The person who lives in the pink house is the person who drives the Toyota.\nClue 36: The person who reads fantasy books is at one of the ends.\nClue 37: The person who supports the Kansas City Chiefs is somewhere in between the person who likes peonies and the person who supports the Miami Dolphins in that order.\nClue 38: The person who owns a Tory Burch is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 39: The person who likes tulips is not the person who lives in the blue house.\nClue 40: Mandy is next to Katherine.\nClue 41: Rose is not the person who reads short story books.\nClue 42: The athlete is the person who drives the Suzuki.\nClue 43: The person who likes peonies is immediately to the left of Tao.\nClue 44: The person who likes Emeralds is immediately to the left of the person who likes Topaz.\nClue 45: The person who drives the BMW is next to the person who reads short story books.\nClue 46: The violin player is the person who likes Emeralds.\nClue 47: The person who likes carnations is somewhere in between Rose and the person who likes Rubies in that order.\nClue 48: The person who likes Mountain Dew is somewhere in between the piano player and the person who lives in the cyan house in that order.\nClue 49: The person who likes carnations is somewhere in between the person who likes Fanta and the person who owns a Versace in that order.\nClue 50: The person who likes peonies is not the person who likes cooking.\nClue 51: The person who owns a Versace is the person who lives in the cyan house.\nClue 52: The oboe player is not the person who drives the Lexus.\nClue 53: The person who lives in the pink house is not the person who likes Dr Pepper.\nClue 54: Katherine is somewhere in between Rose and the person who likes Rubies in that order.\nClue 55: The person who drives the McLaren is next to the person who likes carnations.\nClue 56: The person who supports the Bucks is immediately to the left of the person who likes fried rice.\nClue 57: The person who likes curry is at one of the ends.\nClue 58: The person who lives in the brown house is not the person who drives the BMW.\nClue 59: The person who likes Emeralds is somewhere in between the person who supports the Carolina Panthers and the person who reads spiritual books in that order.\nClue 60: The cello player is at one of the ends.\nClue 61: The person who drives the Mercedes is immediately to the left of the person who likes tulips.\nClue 62: The cello player is next to the person who likes Obsidians.\nClue 63: The person who likes Amethysts is the person who drives the Mercedes.\nClue 64: The person who likes Mountain Dew is somewhere in between the person who likes Dr Pepper and the person who likes Pepsi in that order.\nClue 65: The person who supports the Detroit Lions is not Mandy.\nClue 66: The person who supports the Carolina Panthers is immediately to the left of the person who drives the Lexus.\nClue 67: The person who likes Amethysts is at one of the ends.\nClue 68: The person who supports the Cincinnati Bengals is immediately to the left of the person who lives in the cyan house.\nClue 69: The person who likes carnations is not the person who likes Fanta.\nClue 70: The athlete is somewhere in between the person who likes soups and the person who drinks coffee in that order.\nClue 71: The person who likes peonies is somewhere to the left of the person who lives in the pink house.\nClue 72: The person who reads science fiction books is not the saxophone player.\nClue 73: The person who likes pottery is somewhere in between the person who supports the Carolina Panthers and the person who owns a Tory Burch in that order.\nClue 74: The person who drinks beer is at one of the ends.\nClue 75: The person who likes tulips is somewhere in between the person who likes peonies and Katherine in that order.\nClue 76: The chef is the person who drives the Kawasaki.\nClue 77: The person who likes tulips is the person who lives in the brown house.\nClue 78: The person who supports the Bucks is somewhere in between the person who supports the Knicks and the person who drinks water in that order.\nClue 79: The person who lives in the blue house is somewhere to the left of the person who reads spiritual books.\nClue 80: The person who drives the Mercedes is at one of the ends.\nClue 81: The person who supports the Kansas City Chiefs is somewhere to the left of the person who supports the Detroit Lions.\nClue 82: The person who likes Mountain Dew is somewhere to the left of the person who lives in the cyan house.\nClue 83: The person who likes canoeing is not the person who supports the Carolina Panthers.\nClue 84: The person who lives in the pink house is not the person who supports the Kansas City Chiefs.\nClue 85: The cello player is not the person who lives in the brown house.\nClue 86: The person who likes daffodils is immediately to the left of the person who likes Mountain Dew.\nClue 87: The person who likes Limca is not the person who supports the Miami Dolphins.\nClue 88: The person who lives in the pink house is not the oboe player.\nClue 89: The person who lives in the blue house is immediately to the left of the person who owns a Coach.\nClue 90: Joseph is at one of the ends.\nClue 91: The person who likes orchids is the person who likes Pepsi.\nClue 92: The person who likes metal detecting is the person who reads fantasy books.\nClue 93: The person who lives in the brown house is somewhere in between the person who supports the Carolina Panthers and the person who likes Rubies in that order.\nClue 94: The person who likes Dr Pepper is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 95: The person who likes Rubies is at one of the ends.\nClue 96: The person who owns a Polo Ralph Lauren is somewhere in between the person who owns a Tory Burch and the person who likes orchids in that order.\nClue 97: The person who owns a Coach is somewhere to the left of the person who likes carnations.\nClue 98: The person who drives the BMW is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 99: Katherine is somewhere to the left of the person who likes orchids.\nClue 100: The person who likes cooking is next to the person who likes Pepsi.\nClue 101: The person who reads short story books is immediately to the left of Mandy.\nClue 102: Joseph is the person who likes Amethysts.\nClue 103: The person who drinks water is immediately to the left of the person who drives the Harley-Davidson.\nClue 104: The person who supports the Miami Dolphins is next to the person who owns a Polo Ralph Lauren.\nClue 105: The person who owns a Polo Ralph Lauren is somewhere in between the person who owns a Tory Burch and the person who likes orchids in that order.\nClue 106: The violin player is not the person who lives in the blue house.\nClue 107: The designer is immediately to the left of the person who drinks coffee.\nClue 108: The person who likes carnations is somewhere in between the person who likes metal detecting and the person who drives the McLaren in that order.\nClue 109: The person who drives the Mercedes is immediately to the left of the person who supports the Kansas City Chiefs.\nClue 110: The writer is the person who likes burgers.\nClue 111: The person who likes orchids is the person who owns a Versace.\nClue 112: The person who reads fantasy books is somewhere to the left of Rose.\nClue 113: The person who reads short story books is the person who supports the Cincinnati Bengals.\nClue 114: The person who lives in the pink house is not the person who drives the BMW.\nClue 115: The cello player is at one of the ends.\nClue 116: The person who likes peonies is next to the person who likes tulips.\nClue 117: The person who supports the Carolina Panthers is somewhere to the left of Rose.\n\nQuestion: What position is the person who drives the Honda at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:054", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone supports a different NFL team: San Francisco 49ers, Seattle Seahawks, Denver Broncos, Arizona Cardinals, Carolina Panthers.\nEveryone likes a different type of flower: begonias, daffodils, carnations, orchids, dahlias.\nEveryone drives a different motorbike: Bajaj, Benelli, Suzuki, Honda, Kawasaki.\nEveryone plays a different musical instrument: guitar, harp, saxophone, piano, oboe.\nEveryone likes a different fruit: blueberries, kiwis, blackberries, oranges, mangoes.\nEveryone lives in a different colored house: beige, white, silver, gold, green.\nEveryone likes a different type of gemstone: Jade, Topaz, Emeralds, Diamonds, Obsidians.\nEveryone likes a different favorite animal: caterpillars, ostriches, monkeys, parrots, doctorfish.\nEveryone is a different nationality: Brit, Belarusian, American, Irish, Iranian.\nEveryone supports a different NBA team: Bucks, Warriors, Bulls, Lakers, Celtics.\nEveryone has a different profession: writer, programmer, dancer, artist, architect.\nEveryone drinks a different drink: beer, iced coffee, tea, orange juice, water.\nEveryone likes a different food: soups, pasta, noodles, sandwiches, burgers.\nEveryone has a different name: Wang, Tao, Noah, Rajiv, Michelle.\nEveryone has a different favorite soft drink: Canada Dry, Pepsi, 7up, Sprite, Mirinda.\nEveryone owns a different handbag brand: Polo Ralph Lauren, Coach, Kate Spade, Michael Kors, Balenciaga.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Polo Ralph Lauren is next to the person who likes Mirinda.\nClue 2: The person who likes soups is at one of the ends.\nClue 3: The person who likes Obsidians is somewhere in between the piano player and the person who likes Mirinda in that order.\nClue 4: The person who eats kiwis is not the person who lives in the silver house.\nClue 5: The person who likes Jade is the saxophone player.\nClue 6: The person who owns a Balenciaga is somewhere in between the person who likes Canada Dry and the Iranian in that order.\nClue 7: The person who likes orchids is somewhere to the left of Wang.\nClue 8: The person who likes doctorfish is somewhere in between the person who likes Emeralds and the person who eats mangoes in that order.\nClue 9: The person who owns a Kate Spade is the person who likes Mirinda.\nClue 10: The person who lives in the green house is at one of the ends.\nClue 11: The writer is the oboe player.\nClue 12: The Belarusian is somewhere in between the person who owns a Coach and the artist in that order.\nClue 13: The Brit is next to the architect.\nClue 14: The Brit is next to the person who owns a Coach.\nClue 15: The person who drinks iced coffee is not the dancer.\nClue 16: Rajiv is next to the person who supports the Denver Broncos.\nClue 17: The person who owns a Polo Ralph Lauren is the artist.\nClue 18: The person who lives in the gold house is at one of the ends.\nClue 19: The person who drinks tea is the person who eats blackberries.\nClue 20: The person who lives in the silver house is next to the person who supports the Lakers.\nClue 21: The person who drinks iced coffee is the person who lives in the white house.\nClue 22: The guitar player is somewhere in between the person who likes doctorfish and the person who owns a Kate Spade in that order.\nClue 23: The oboe player is at one of the ends.\nClue 24: The person who likes Topaz is immediately to the left of the person who supports the Bucks.\nClue 25: The person who owns a Balenciaga is not the person who eats blackberries.\nClue 26: The person who eats mangoes is the person who likes monkeys.\nClue 27: The person who lives in the white house is not the person who likes Canada Dry.\nClue 28: The person who likes Sprite is not the oboe player.\nClue 29: The person who supports the Lakers is at one of the ends.\nClue 30: The person who drinks tea is next to the person who likes parrots.\nClue 31: The person who likes caterpillars is the person who eats blueberries.\nClue 32: The person who owns a Kate Spade is at one of the ends.\nClue 33: The person who eats oranges is next to the person who lives in the silver house.\nClue 34: The person who supports the Celtics is somewhere to the left of the person who likes parrots.\nClue 35: The person who likes Pepsi is not the person who supports the Lakers.\nClue 36: The person who likes Sprite is not the person who drinks beer.\nClue 37: The person who likes ostriches is the person who likes Emeralds.\nClue 38: The person who likes Emeralds is immediately to the left of the person who supports the Celtics.\nClue 39: The person who supports the Lakers is not the person who lives in the silver house.\nClue 40: The person who likes 7up is not the person who drinks iced coffee.\nClue 41: The guitar player is the person who drinks iced coffee.\nClue 42: The person who likes Obsidians is somewhere in between the piano player and the person who eats mangoes in that order.\nClue 43: The writer is the Brit.\nClue 44: The person who likes Obsidians is not the person who eats blackberries.\nClue 45: The person who drinks iced coffee is the programmer.\nClue 46: The person who drives the Honda is the person who likes noodles.\nClue 47: The person who eats blackberries is not the person who likes Topaz.\nClue 48: The person who likes monkeys is at one of the ends.\nClue 49: The person who likes begonias is the person who supports the San Francisco 49ers.\nClue 50: The person who drinks iced coffee is next to the Irish.\nClue 51: The person who likes dahlias is the person who supports the Denver Broncos.\nClue 52: The person who eats blueberries is not the person who likes Topaz.\nClue 53: The person who likes Obsidians is somewhere in between the programmer and the Iranian in that order.\nClue 54: The harp player is not the person who drinks water.\nClue 55: The person who supports the Bulls is somewhere in between the person who likes 7up and the person who owns a Polo Ralph Lauren in that order.\nClue 56: The piano player is immediately to the left of the person who drinks iced coffee.\nClue 57: The person who likes doctorfish is the person who eats blackberries.\nClue 58: The person who likes parrots is the programmer.\nClue 59: The Irish is somewhere in between the person who owns a Balenciaga and the person who likes Mirinda in that order.\nClue 60: The Belarusian is the person who drinks iced coffee.\nClue 61: The person who lives in the beige house is somewhere in between the person who supports the Bulls and the person who lives in the green house in that order.\nClue 62: The person who likes Sprite is the Belarusian.\nClue 63: The person who eats blueberries is not the piano player.\nClue 64: The person who supports the Seattle Seahawks is the person who drives the Suzuki.\nClue 65: The person who supports the Bulls is next to the person who drinks orange juice.\nClue 66: The person who likes Canada Dry is not the person who lives in the white house.\nClue 67: The Irish is the person who likes Pepsi.\nClue 68: The person who likes Pepsi is somewhere to the left of the saxophone player.\nClue 69: The programmer is next to the American.\nClue 70: Wang is next to the person who supports the Arizona Cardinals.\nClue 71: The person who likes sandwiches is next to Rajiv.\nClue 72: The person who drinks beer is somewhere to the left of the architect.\nClue 73: The person who eats kiwis is somewhere in between the writer and the person who drinks orange juice in that order.\nClue 74: The person who eats mangoes is the person who likes monkeys.\nClue 75: The person who likes Pepsi is somewhere in between the architect and the person who likes monkeys in that order.\nClue 76: The oboe player is the person who lives in the gold house.\nClue 77: The person who likes sandwiches is the person who drives the Suzuki.\nClue 78: The person who drinks iced coffee is somewhere to the left of the person who eats blueberries.\nClue 79: The person who supports the Warriors is the dancer.\nClue 80: The person who likes pasta is immediately to the left of Wang.\nClue 81: The guitar player is not the American.\nClue 82: The person who supports the Bulls is somewhere to the left of the harp player.\nClue 83: The harp player is the person who drinks orange juice.\nClue 84: The person who supports the Bucks is the harp player.\nClue 85: Rajiv is the person who likes orchids.\nClue 86: The person who likes Obsidians is not the person who eats mangoes.\nClue 87: Noah is next to the person who supports the Seattle Seahawks.\nClue 88: The person who likes daffodils is somewhere to the left of Michelle.\nClue 89: Noah is at one of the ends.\nClue 90: The person who owns a Balenciaga is not the person who drinks beer.\nClue 91: The Belarusian is somewhere to the left of the person who likes monkeys.\nClue 92: The Irish is somewhere in between the person who likes parrots and the dancer in that order.\nClue 93: The person who owns a Michael Kors is the person who drinks beer.\nClue 94: The person who likes Topaz is somewhere to the left of the person who drinks orange juice.\nClue 95: The person who drinks iced coffee is somewhere in between the piano player and the person who likes Pepsi in that order.\nClue 96: The person who likes Obsidians is somewhere in between the person who owns a Balenciaga and the person who owns a Kate Spade in that order.\nClue 97: The dancer is at one of the ends.\nClue 98: The person who likes 7up is not the person who drinks orange juice.\nClue 99: The person who likes ostriches is at one of the ends.\nClue 100: The guitar player is the person who likes parrots.\nClue 101: The person who likes Pepsi is next to the person who owns a Balenciaga.\nClue 102: The person who drives the Kawasaki is somewhere in between the person at the 2nd position and the person who likes begonias in that order.\nClue 103: The Irish is somewhere in between the person who drinks iced coffee and the person who likes monkeys in that order.\nClue 104: The person who eats mangoes is next to the person who eats blueberries.\nClue 105: The person who likes Canada Dry is immediately to the left of the person who drinks iced coffee.\nClue 106: The harp player is somewhere in between the person who likes parrots and the Iranian in that order.\nClue 107: The person who likes monkeys is the saxophone player.\nClue 108: The Belarusian is not the person who eats blueberries.\nClue 109: The person who supports the Bucks is not the person who eats mangoes.\nClue 110: The programmer is not the person who owns a Michael Kors.\nClue 111: The person who lives in the white house is immediately to the left of the person who eats blueberries.\nClue 112: The person who drinks orange juice is somewhere to the left of the dancer.\nClue 113: The person who drives the Suzuki is somewhere to the left of the person who likes soups.\nClue 114: The person who likes Jade is the person who lives in the green house.\nClue 115: The person who lives in the gold house is at one of the ends.\nClue 116: The person who drinks orange juice is somewhere in between the person who lives in the white house and the person who lives in the green house in that order.\nClue 117: The person who supports the Carolina Panthers is the person who drives the Benelli.\nClue 118: Rajiv is somewhere to the left of Noah.\nClue 119: The Belarusian is not the person who lives in the silver house.\n\nQuestion: What position is the person who supports the San Francisco 49ers at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:055", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone supports a different NFL team: Baltimore Ravens, Denver Broncos, Pittsburgh Steelers, Atlanta Falcons, Arizona Cardinals, Buffalo Bills, Chicago Bears.\nEveryone likes a different fruit: grapes, bananas, blackberries, pears, blueberries, strawberries, apples.\nEveryone drives a different motorbike: Benelli, Honda, Yamaha, Kawasaki, Suzuki, Ducati, Bajaj.\nEveryone plays a different sport: cricket, tennis, volleyball, ice hockey, squash, basketball, table tennis.\nEveryone has a different name: Rajiv, Mallika, Karan, Siva, Bob, Randy, Mandy.\nEveryone is a different nationality: Bangladeshi, German, Spanish, Indian, Brit, Pakistani, Chilean.\nEveryone likes a different type of flower: lilies, tulips, daisies, marigolds, dahlias, begonias, roses.\nEveryone drinks a different drink: lemonade, beer, coffee, hot chocolate, tea, orange juice, iced coffee.\nEveryone owns a different handbag brand: Tumi, Kate Spade, Polo Ralph Lauren, Gucci, Balenciaga, Dolce and Gabbana, Tory Burch.\nEveryone likes a different type of gemstone: Dolomites, Gypsum, Aquamarines, Pearls, Obsidians, Jade, Sapphires.\nEveryone has a different favorite hobby: sailing, archery, bird watching, welding, painting, juggling, drone flying.\nEveryone plays a different musical instrument: flute, piano, saxophone, drums, harp, guitar, harmonica.\nEveryone likes a different physical activity: hiking, bungee jumping, scuba diving, weight lifting, biking, skiing, snorkeling.\nEveryone has a different favorite soft drink: Pepsi, Coke, Powerade, 7up, Fanta, Mirinda, Limca.\nEveryone has a different profession: actor, designer, writer, chef, dancer, spy, singer.\nEveryone drives a different car: McLaren, Kia, Toyota, Ford, Lexus, Ferrari, Honda.\nEveryone smokes a different cigarette: Davidoff, Blends, Pall Mall, Salem, Blue Master, Winston, Dunhill.\nEveryone likes a different favorite animal: ducks, cats, tigers, swordfish, gorillas, sun bears, walruses.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Arizona Cardinals is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 2: The Brit is somewhere in between the person who supports the Buffalo Bills and the basketball player in that order.\nClue 3: Mandy is next to the person who owns a Tory Burch.\nClue 4: The person who likes Limca is not the person who owns a Kate Spade.\nClue 5: The person who smokes Blue Master is the singer.\nClue 6: The person who drives the Honda is immediately to the left of the person who likes walruses.\nClue 7: The ice hockey player is somewhere to the left of the person who likes Powerade.\nClue 8: The basketball player is not the person who owns a Tumi.\nClue 9: The person who eats blackberries is immediately to the left of the person who likes Sapphires.\nClue 10: The German is not the person who supports the Atlanta Falcons.\nClue 11: The person who eats blackberries is next to the person who drives the Kawasaki.\nClue 12: The person who supports the Atlanta Falcons is somewhere to the left of the person who eats pears.\nClue 13: The person who eats pears is not Rajiv.\nClue 14: The person who likes 7up is somewhere to the left of the German.\nClue 15: The person who drives the Suzuki is somewhere in between the person who eats bananas and the person who likes Jade in that order.\nClue 16: The person who drives the Bajaj is the person who eats blackberries.\nClue 17: The piano player is at one of the ends.\nClue 18: The person who drinks orange juice is immediately to the left of the person who drives the Ford.\nClue 19: The harp player is at one of the ends.\nClue 20: The person who drinks orange juice is immediately to the left of the person who likes lilies.\nClue 21: The person who likes Sapphires is the person who eats blueberries.\nClue 22: The person who likes skiing is the person who drinks tea.\nClue 23: The piano player is at one of the ends.\nClue 24: The person who likes marigolds is immediately to the left of the person who likes roses.\nClue 25: The person who eats pears is somewhere to the left of the person who drives the Bajaj.\nClue 26: The person who likes scuba diving is the person who likes bird watching.\nClue 27: The person who likes skiing is at one of the ends.\nClue 28: The person who smokes Blue Master is somewhere to the left of the writer.\nClue 29: The Bangladeshi is somewhere to the left of the basketball player.\nClue 30: The basketball player is the person who likes Sapphires.\nClue 31: The person who owns a Tumi is at one of the ends.\nClue 32: The squash player is somewhere in between the person who likes Gypsum and the person who drives the Kawasaki in that order.\nClue 33: The squash player is Rajiv.\nClue 34: The person who drives the Honda is the person who likes sailing.\nClue 35: The person who supports the Buffalo Bills is the person who owns a Tumi.\nClue 36: The person who eats blackberries is the person who likes Jade.\nClue 37: The person who drives the Lexus is somewhere to the left of the person who likes archery.\nClue 38: Karan is not the German.\nClue 39: Siva is next to the tennis player.\nClue 40: The piano player is immediately to the left of the person who likes Pearls.\nClue 41: The person who likes Mirinda is not the flute player.\nClue 42: The person who eats apples is not the Pakistani.\nClue 43: The person who likes painting is somewhere in between the person who likes tulips and the person who likes juggling in that order.\nClue 44: The person who drives the Bajaj is the person who eats blackberries.\nClue 45: The person who smokes Winston is immediately to the left of the person who likes lilies.\nClue 46: The person who likes tigers is somewhere in between the Chilean and Randy in that order.\nClue 47: The Chilean is not the person who likes Jade.\nClue 48: The person who likes begonias is the person who smokes Winston.\nClue 49: The person who drives the Toyota is the person who likes archery.\nClue 50: The person who likes ducks is somewhere to the left of the harp player.\nClue 51: The person who likes Aquamarines is somewhere to the left of the person who drives the Bajaj.\nClue 52: The volleyball player is next to the person who drives the Suzuki.\nClue 53: Bob is not the ice hockey player.\nClue 54: The person who smokes Winston is somewhere in between the person who likes dahlias and the person who drinks beer in that order.\nClue 55: The Chilean is not the person who owns a Kate Spade.\nClue 56: The harmonica player is immediately to the left of Randy.\nClue 57: The person who owns a Balenciaga is somewhere to the left of the Indian.\nClue 58: The person who likes dahlias is somewhere in between the person who likes hiking and the person who drinks beer in that order.\nClue 59: The person who likes Gypsum is not Bob.\nClue 60: The person who owns a Balenciaga is the person who likes Limca.\nClue 61: The person who supports the Arizona Cardinals is somewhere in between the person who drives the Yamaha and the person who drives the Kawasaki in that order.\nClue 62: The person who drives the Kawasaki is at one of the ends.\nClue 63: The person who likes bungee jumping is next to the person who drives the Ford.\nClue 64: The person who drives the Suzuki is the person who likes Obsidians.\nClue 65: The basketball player is the person who drives the Kawasaki.\nClue 66: The person who likes roses is immediately to the left of the person who likes tulips.\nClue 67: Randy is somewhere to the left of the person who supports the Baltimore Ravens.\nClue 68: The guitar player is somewhere in between the piano player and the volleyball player in that order.\nClue 69: The singer is somewhere in between the person who drives the Honda and the person who drives the Toyota in that order.\nClue 70: The person who likes lilies is somewhere in between the person who likes painting and the designer in that order.\nClue 71: The basketball player is at one of the ends.\nClue 72: Rajiv is somewhere to the left of Bob.\nClue 73: The person who likes Coke is not the person who likes ducks.\nClue 74: The person who drives the Ford is the person who likes drone flying.\nClue 75: The Bangladeshi is somewhere in between the flute player and the harp player in that order.\nClue 76: Karan is not the person who likes Powerade.\nClue 77: The person who supports the Baltimore Ravens is the person who likes Powerade.\nClue 78: Karan is next to the person who likes Coke.\nClue 79: The person who drives the Bajaj is not the person who likes walruses.\nClue 80: The person who supports the Atlanta Falcons is immediately to the left of the person who likes Coke.\nClue 81: The drums player is not the person who likes Powerade.\nClue 82: The person who drives the Kia is the person who likes tulips.\nClue 83: The person who likes 7up is somewhere to the left of the person who likes cats.\nClue 84: The person who likes Sapphires is at one of the ends.\nClue 85: The person who likes Aquamarines is somewhere to the left of the basketball player.\nClue 86: The dancer is somewhere in between the person at the 3rd position and the person who drinks orange juice in that order.\nClue 87: The person who likes Jade is the person who owns a Tory Burch.\nClue 88: The person who likes biking is somewhere to the left of the person who likes bungee jumping.\nClue 89: The person who likes walruses is somewhere to the left of the person who likes Fanta.\nClue 90: The person who likes Coke is next to the person who likes Fanta.\nClue 91: The person who drives the Bajaj is not the person who likes Gypsum.\nClue 92: The person who supports the Denver Broncos is immediately to the left of the person who supports the Pittsburgh Steelers.\nClue 93: The person at the 4th position is next to the person who drinks orange juice.\nClue 94: The person who owns a Balenciaga is Mandy.\nClue 95: The person who likes Pepsi is Rajiv.\nClue 96: The person who smokes Salem is the writer.\nClue 97: The person who likes sun bears is not Mandy.\nClue 98: The person who likes ducks is not the person who owns a Dolce and Gabbana.\nClue 99: The person who smokes Salem is next to the person who drinks lemonade.\nClue 100: The person who likes Jade is immediately to the left of the Indian.\nClue 101: The person who eats pears is not the person who likes Powerade.\nClue 102: The person who likes Powerade is the person who likes Sapphires.\nClue 103: The person who supports the Buffalo Bills is at one of the ends.\nClue 104: The person who owns a Balenciaga is not the person who supports the Atlanta Falcons.\nClue 105: The person who likes juggling is the designer.\nClue 106: The person who drives the Honda is next to the person who supports the Atlanta Falcons.\nClue 107: The person who eats grapes is somewhere in between the person who supports the Chicago Bears and the person who supports the Arizona Cardinals in that order.\nClue 108: The singer is the person who likes scuba diving.\nClue 109: The person who likes skiing is the person who smokes Pall Mall.\nClue 110: The person who likes sun bears is the person who likes Aquamarines.\nClue 111: The person who likes Obsidians is somewhere to the left of the person who likes Jade.\nClue 112: The person who smokes Blends is somewhere to the left of the person who smokes Dunhill.\nClue 113: The person who eats pears is not the German.\nClue 114: The person who eats strawberries is the Chilean.\nClue 115: The person who likes ducks is not the drums player.\nClue 116: The person who drives the Honda is next to the chef.\nClue 117: The person who supports the Pittsburgh Steelers is somewhere in between the person who likes Obsidians and the person who eats blackberries in that order.\nClue 118: The person who smokes Winston is the person who likes archery.\nClue 119: The person who drives the Ferrari is at one of the ends.\nClue 120: The person who likes scuba diving is immediately to the left of the person who drinks coffee.\nClue 121: The person who likes Pearls is somewhere in between the person who likes 7up and the person who drives the Suzuki in that order.\nClue 122: The person at the 5th position is somewhere to the left of the person who likes biking.\nClue 123: The person who likes sun bears is the cricket player.\nClue 124: The person who owns a Polo Ralph Lauren is the person who likes swordfish.\nClue 125: The basketball player is at one of the ends.\nClue 126: Mandy is next to the Pakistani.\nClue 127: The person who likes bird watching is next to the person who likes roses.\nClue 128: The person who smokes Blends is next to the singer.\nClue 129: Bob is at one of the ends.\nClue 130: The person who likes Obsidians is somewhere in between the person who likes Dolomites and the person who owns a Polo Ralph Lauren in that order.\nClue 131: The person who supports the Baltimore Ravens is not the Chilean.\nClue 132: The person who drives the Honda is somewhere to the left of the person who smokes Blends.\nClue 133: The person who drinks hot chocolate is the person who likes scuba diving.\nClue 134: The person who supports the Arizona Cardinals is Rajiv.\nClue 135: The person who drives the Lexus is at one of the ends.\nClue 136: The person who supports the Denver Broncos is the person who drives the Suzuki.\nClue 137: The person who likes painting is next to the actor.\nClue 138: The person who likes Pearls is the person who likes Mirinda.\nClue 139: The person who likes snorkeling is next to the person who likes scuba diving.\nClue 140: Rajiv is somewhere to the left of the person who drives the Kawasaki.\nClue 141: The person who supports the Pittsburgh Steelers is somewhere in between the person who likes Obsidians and the person who drives the Bajaj in that order.\nClue 142: The person who drives the Bajaj is the person who eats blackberries.\nClue 143: The basketball player is the person who eats blueberries.\n\nQuestion: What position is the person who likes skiing at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:057", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite soft drink: Limca, Canada Dry, Sprite, Coke, Mirinda, Gatorade, Fanta.\nEveryone supports a different NBA team: Bulls, Cavaliers, Knicks, Mavericks, Hawks, Celtics, Warriors.\nEveryone lives in a different colored house: violet, pink, blue, turquoise, cyan, purple, grey.\nEveryone drives a different motorbike: Kawasaki, Benelli, Suzuki, Bajaj, Ducati, Piaggio, Honda.\nEveryone likes a different physical activity: snorkeling, base jumping, swimming, bungee jumping, skiing, biking, running.\nEveryone plays a different sport: tennis, badminton, basketball, squash, baseball, table tennis, volleyball.\nEveryone is a different nationality: Australian, Swiss, Malaysian, Bulgarian, Mexican, Portuguese, Italian.\nEveryone likes a different fruit: oranges, mangoes, apples, raspberries, pears, strawberries, blueberries.\nEveryone likes a different food: soups, noodles, fried rice, burgers, kebabs, pizza, sandwiches.\nEveryone drinks a different drink: iced coffee, tea, water, hot chocolate, coffee, lemonade, iced tea.\nEveryone smokes a different cigarette: Pall Mall, Marlboro, Davidoff, Winston, Blue Master, Blends, Salem.\nEveryone likes a different favorite animal: rabbits, llamas, spiders, elephants, moose, cheetahs, hummingbirds.\nEveryone has a different profession: actor, teacher, architect, spy, engineer, doctor, designer.\nEveryone likes a different type of flower: daffodils, lilies, dahlias, marigolds, roses, peonies, tulips.\nEveryone plays a different musical instrument: drums, saxophone, piano, harp, violin, cello, flute.\nEveryone supports a different NFL team: Tennessee Titans, Denver Broncos, Cincinnati Bengals, Philadelphia Eagles, New England Patriots, Carolina Panthers, Pittsburgh Steelers.\nEveryone has a different name: Trinity, Doug, Tao, Mohsen, Rafael, Wang, Siva.\nEveryone owns a different handbag brand: Balenciaga, Kate Spade, Versace, Gucci, Coach, Tory Burch, Tumi.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Honda is the tennis player.\nClue 2: The Portuguese is the person who smokes Pall Mall.\nClue 3: The person who lives in the grey house is somewhere in between the person who likes noodles and the person who drinks hot chocolate in that order.\nClue 4: The person who likes Canada Dry is at one of the ends.\nClue 5: The person who drives the Piaggio is immediately to the left of the person who likes pizza.\nClue 6: The person who likes Mirinda is not the violin player.\nClue 7: The Australian is somewhere to the left of the person who likes moose.\nClue 8: The person who smokes Pall Mall is not the person who likes Coke.\nClue 9: The person who lives in the turquoise house is not the person who eats raspberries.\nClue 10: The person who supports the Warriors is immediately to the left of the harp player.\nClue 11: The person who smokes Davidoff is at one of the ends.\nClue 12: The tennis player is immediately to the left of the person who likes burgers.\nClue 13: The person who supports the Tennessee Titans is at one of the ends.\nClue 14: The person who likes peonies is the doctor.\nClue 15: The designer is the person who likes marigolds.\nClue 16: The person who owns a Gucci is at one of the ends.\nClue 17: The person who likes daffodils is somewhere in between the designer and the person who smokes Winston in that order.\nClue 18: The person who supports the Cavaliers is immediately to the left of the person who likes Mirinda.\nClue 19: The saxophone player is not the person who smokes Blends.\nClue 20: The Swiss is next to the person who owns a Balenciaga.\nClue 21: The person who smokes Pall Mall is somewhere to the left of the person who supports the Tennessee Titans.\nClue 22: The person who likes Mirinda is somewhere in between the person who supports the Denver Broncos and the person who smokes Winston in that order.\nClue 23: The person who lives in the pink house is the tennis player.\nClue 24: The person who owns a Gucci is the person who smokes Davidoff.\nClue 25: The Australian is next to the person who supports the Cavaliers.\nClue 26: The person who drinks coffee is next to the person who drinks water.\nClue 27: The drums player is next to the person who likes cheetahs.\nClue 28: The table tennis player is the person who drives the Bajaj.\nClue 29: The person who likes swimming is immediately to the left of the tennis player.\nClue 30: The person who supports the Philadelphia Eagles is the Swiss.\nClue 31: The person who supports the Philadelphia Eagles is not the Portuguese.\nClue 32: The person who drives the Piaggio is somewhere to the left of the person who lives in the violet house.\nClue 33: The saxophone player is somewhere to the left of the harp player.\nClue 34: The cello player is not the person who supports the Cavaliers.\nClue 35: The person who likes skiing is immediately to the left of the baseball player.\nClue 36: The person who eats apples is immediately to the left of the person who lives in the pink house.\nClue 37: The person who smokes Blue Master is somewhere to the left of the person who likes moose.\nClue 38: Siva is somewhere to the left of the person who likes Coke.\nClue 39: The person who supports the Knicks is not the person who owns a Gucci.\nClue 40: The person who drives the Suzuki is immediately to the left of the person who eats raspberries.\nClue 41: The Mexican is at one of the ends.\nClue 42: The person who drives the Piaggio is the volleyball player.\nClue 43: The person who supports the Hawks is next to the saxophone player.\nClue 44: The person who supports the Knicks is Rafael.\nClue 45: The person who likes peonies is the person who owns a Versace.\nClue 46: The person who lives in the cyan house is the person who likes skiing.\nClue 47: The person who likes base jumping is at one of the ends.\nClue 48: The Mexican is at one of the ends.\nClue 49: The person who owns a Kate Spade is immediately to the left of the person who supports the Denver Broncos.\nClue 50: The person who eats pears is at one of the ends.\nClue 51: The person who smokes Marlboro is next to the person who likes dahlias.\nClue 52: The person who supports the Hawks is the person who likes Gatorade.\nClue 53: The person who likes Fanta is somewhere to the left of the person who smokes Salem.\nClue 54: The spy is not the person who supports the New England Patriots.\nClue 55: The piano player is somewhere in between the Mexican and the person who supports the Celtics in that order.\nClue 56: The person who drives the Bajaj is the person who eats oranges.\nClue 57: The Italian is next to the person who owns a Gucci.\nClue 58: The person who owns a Versace is somewhere to the left of the person who likes elephants.\nClue 59: Rafael is the drums player.\nClue 60: The person who owns a Versace is somewhere to the left of the person who smokes Salem.\nClue 61: The person who smokes Blue Master is Tao.\nClue 62: The drums player is somewhere to the left of the person who likes Mirinda.\nClue 63: The spy is not the person who likes dahlias.\nClue 64: The person who owns a Balenciaga is somewhere to the left of the person who smokes Winston.\nClue 65: The person who likes elephants is the person who owns a Balenciaga.\nClue 66: The person at the 2nd position is the squash player.\nClue 67: The person who likes cheetahs is somewhere in between the person who supports the Bulls and the person who likes Fanta in that order.\nClue 68: The designer is next to the Portuguese.\nClue 69: The doctor is somewhere in between Tao and the flute player in that order.\nClue 70: The engineer is somewhere to the left of Mohsen.\nClue 71: The person who likes Limca is somewhere to the left of the person who smokes Salem.\nClue 72: The basketball player is next to the person who likes biking.\nClue 73: The person who supports the Tennessee Titans is next to the person who supports the Warriors.\nClue 74: Mohsen is not the person who owns a Kate Spade.\nClue 75: The person who likes llamas is immediately to the left of the person who supports the Mavericks.\nClue 76: The person who likes Coke is somewhere in between the person who supports the Cincinnati Bengals and Mohsen in that order.\nClue 77: The actor is somewhere in between the person who likes peonies and Doug in that order.\nClue 78: The Malaysian is at one of the ends.\nClue 79: The person who supports the Carolina Panthers is immediately to the left of the person who smokes Pall Mall.\nClue 80: The person who likes elephants is next to the person who supports the Philadelphia Eagles.\nClue 81: The person at the 6th position is the person who lives in the cyan house.\nClue 82: The person who supports the Warriors is somewhere to the left of the harp player.\nClue 83: The person who likes sandwiches is the person who drinks iced coffee.\nClue 84: The Mexican is immediately to the left of Tao.\nClue 85: The person who likes swimming is the person who drives the Benelli.\nClue 86: The person who drinks coffee is somewhere in between the person who likes burgers and the person who drives the Ducati in that order.\nClue 87: The person who likes Canada Dry is not the person who owns a Versace.\nClue 88: The person who likes cheetahs is next to the piano player.\nClue 89: The person who drinks hot chocolate is the person who likes snorkeling.\nClue 90: The person who likes Limca is not the person who supports the Tennessee Titans.\nClue 91: The person who likes Mirinda is not the person who supports the Tennessee Titans.\nClue 92: The person who supports the Denver Broncos is somewhere in between the person who smokes Blue Master and the Australian in that order.\nClue 93: The person who supports the Pittsburgh Steelers is immediately to the left of the person who supports the Mavericks.\nClue 94: The person who likes marigolds is the piano player.\nClue 95: The person who drinks tea is next to the person who likes biking.\nClue 96: The person who likes soups is immediately to the left of the person who likes running.\nClue 97: The person who likes Gatorade is not the person who smokes Davidoff.\nClue 98: The Italian is somewhere to the left of the person who likes hummingbirds.\nClue 99: The person who owns a Tumi is immediately to the left of the person who smokes Salem.\nClue 100: The person who likes roses is the person who supports the Hawks.\nClue 101: The person who smokes Blue Master is not the person who likes Gatorade.\nClue 102: Doug is somewhere in between the person who smokes Marlboro and the harp player in that order.\nClue 103: The person who likes Mirinda is the person who supports the New England Patriots.\nClue 104: The person at the 6th position is immediately to the left of the person who eats mangoes.\nClue 105: The person who drives the Kawasaki is the person at the 2nd position.\nClue 106: The person who smokes Davidoff is not the Swiss.\nClue 107: The person who likes Canada Dry is at one of the ends.\nClue 108: The spy is the Malaysian.\nClue 109: The person who likes elephants is somewhere to the left of the person who likes Gatorade.\nClue 110: The person who drinks lemonade is the person who drives the Bajaj.\nClue 111: The person who likes rabbits is the person who smokes Blue Master.\nClue 112: The person who supports the Mavericks is somewhere in between the person who smokes Davidoff and the violin player in that order.\nClue 113: The table tennis player is immediately to the left of the person who lives in the cyan house.\nClue 114: The Swiss is the person who likes lilies.\nClue 115: The person who likes llamas is not the Malaysian.\nClue 116: The flute player is somewhere in between the person who owns a Tory Burch and Doug in that order.\nClue 117: The person who likes kebabs is at one of the ends.\nClue 118: The volleyball player is the person who lives in the cyan house.\nClue 119: The person who supports the Cincinnati Bengals is somewhere in between the person who likes rabbits and the person who likes lilies in that order.\nClue 120: The person who eats strawberries is the person who likes soups.\nClue 121: The person who likes Sprite is not the Bulgarian.\nClue 122: The person who owns a Balenciaga is not the person who supports the Tennessee Titans.\nClue 123: The engineer is somewhere in between the person who likes lilies and the person who likes moose in that order.\nClue 124: The person who supports the Cincinnati Bengals is the person who smokes Blends.\nClue 125: The person who supports the Warriors is somewhere to the left of the person who likes Gatorade.\nClue 126: The person who supports the Knicks is not the person who likes llamas.\nClue 127: The spy is the Malaysian.\nClue 128: The basketball player is immediately to the left of the person who drives the Honda.\nClue 129: The person who supports the New England Patriots is immediately to the left of the person who likes roses.\nClue 130: The person who supports the Philadelphia Eagles is the person who owns a Tumi.\nClue 131: The person who likes soups is somewhere in between the person who likes burgers and the person who likes pizza in that order.\nClue 132: The harp player is not the Portuguese.\nClue 133: The person who owns a Tumi is somewhere in between the Italian and the person who likes Mirinda in that order.\nClue 134: The person who supports the Philadelphia Eagles is somewhere in between the person who supports the Knicks and Doug in that order.\nClue 135: The person who supports the New England Patriots is next to the person who smokes Marlboro.\nClue 136: The person who lives in the purple house is next to the tennis player.\nClue 137: The person who supports the Carolina Panthers is somewhere in between the person who supports the Pittsburgh Steelers and the person who likes lilies in that order.\n\nQuestion: What position is the person who lives in the pink house at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:058", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone drinks a different drink: coffee, iced coffee, lemonade, beer, tea, iced tea, milk.\nEveryone is a different nationality: Turkish, American, Israeli, Portuguese, Korean, Pakistani, Bangladeshi.\nEveryone likes a different type of flower: orchids, lilies, begonias, roses, tulips, daffodils, dahlias.\nEveryone plays a different musical instrument: guitar, drums, saxophone, cello, harp, piano, oboe.\nEveryone reads a different genre of books: magical realism, humor, mystery, spiritual, science fiction, history, short story.\nEveryone has a different favorite soft drink: Powerade, Mountain Dew, Fanta, Pepsi, Limca, Coke, Sprite.\nEveryone owns a different handbag brand: Michael Kors, Tory Burch, Dolce and Gabbana, Polo Ralph Lauren, Balenciaga, Kate Spade, Versace.\nEveryone supports a different NFL team: Pittsburgh Steelers, Los Angeles Rams, Atlanta Falcons, Green Bay Packers, Kansas City Chiefs, San Francisco 49ers, Miami Dolphins.\nEveryone likes a different food: soups, curry, kebabs, fried rice, pasta, noodles, tacos.\nEveryone drives a different car: Audi, Lexus, Ford, Mercedes, Toyota, Honda, Kia.\nEveryone drives a different motorbike: Buell, Harley-Davidson, Suzuki, Bajaj, Yamaha, Ducati, Piaggio.\nEveryone smokes a different cigarette: Davidoff, Blue Master, Salem, Marlboro, Newport, Winston, Dunhill.\nEveryone has a different profession: teacher, engineer, designer, chef, artist, athlete, writer.\nEveryone plays a different sport: soccer, squash, volleyball, cricket, badminton, baseball, table tennis.\nEveryone likes a different physical activity: running, base jumping, scuba diving, paragliding, hiking, weight lifting, snorkeling.\nEveryone supports a different NBA team: Cavaliers, Hawks, Knicks, Warriors, Celtics, Suns, Bucks.\nEveryone has a different name: Mohan, Mallika, Rafael, Randy, Wang, Rose, Trinity.\nEveryone has a different favorite hobby: drone flying, sailing, crocheting, baking, biking, stamp collecting, wood carving.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The Pakistani is at one of the ends.\nClue 2: The person who drives the Ford is the person who likes scuba diving.\nClue 3: The athlete is the person who smokes Newport.\nClue 4: The baseball player is at one of the ends.\nClue 5: The person who likes Fanta is somewhere to the left of the baseball player.\nClue 6: The guitar player is somewhere to the left of the person who likes drone flying.\nClue 7: Wang is somewhere in between the person who likes curry and the person who likes pasta in that order.\nClue 8: The person who likes sailing is next to the person who likes wood carving.\nClue 9: The person who owns a Versace is somewhere in between the person who owns a Tory Burch and the Bangladeshi in that order.\nClue 10: The person who likes lilies is immediately to the left of the person who likes Mountain Dew.\nClue 11: The person who reads short story books is the person who supports the Atlanta Falcons.\nClue 12: The Turkish is the person who likes Pepsi.\nClue 13: The soccer player is at one of the ends.\nClue 14: The person who supports the San Francisco 49ers is the person who smokes Marlboro.\nClue 15: The person who drives the Ducati is immediately to the left of the artist.\nClue 16: Wang is somewhere in between the person who likes biking and the Bangladeshi in that order.\nClue 17: The guitar player is the person who supports the Warriors.\nClue 18: The person who likes weight lifting is at one of the ends.\nClue 19: The person who smokes Newport is next to the person who drives the Buell.\nClue 20: The person who owns a Kate Spade is the saxophone player.\nClue 21: The person who likes crocheting is immediately to the left of the person who likes curry.\nClue 22: The person who supports the Cavaliers is the person who likes Mountain Dew.\nClue 23: The person who likes drone flying is Randy.\nClue 24: The person who supports the Suns is the person who likes kebabs.\nClue 25: The baseball player is not the person who likes dahlias.\nClue 26: The squash player is the person who likes tulips.\nClue 27: The Bangladeshi is the person who likes pasta.\nClue 28: The person who likes Pepsi is not the person who likes soups.\nClue 29: The cello player is somewhere to the left of the person who drinks milk.\nClue 30: Rafael is somewhere in between the soccer player and the person who owns a Dolce and Gabbana in that order.\nClue 31: The person who supports the Hawks is next to the Turkish.\nClue 32: The person who likes lilies is not the person who supports the Hawks.\nClue 33: The person who likes stamp collecting is the person who owns a Michael Kors.\nClue 34: The person who owns a Polo Ralph Lauren is somewhere in between the squash player and the person who supports the Bucks in that order.\nClue 35: The person who likes roses is next to the person who supports the Bucks.\nClue 36: The person who owns a Tory Burch is the person who likes orchids.\nClue 37: The person who likes fried rice is not the person who likes Pepsi.\nClue 38: The person who likes base jumping is the teacher.\nClue 39: The Pakistani is Mallika.\nClue 40: The person who supports the Miami Dolphins is the person who likes paragliding.\nClue 41: The person who owns a Dolce and Gabbana is somewhere to the left of the person who supports the Bucks.\nClue 42: The Israeli is next to the person who likes baking.\nClue 43: The cello player is somewhere in between the person who likes Pepsi and the person who drinks iced tea in that order.\nClue 44: The guitar player is somewhere to the left of the American.\nClue 45: The person who drives the Buell is at one of the ends.\nClue 46: The person who owns a Polo Ralph Lauren is not the person who supports the Suns.\nClue 47: The person who supports the Green Bay Packers is the person who smokes Winston.\nClue 48: The person who owns a Dolce and Gabbana is immediately to the left of the person who likes baking.\nClue 49: The person who likes sailing is somewhere in between the person who drinks coffee and the oboe player in that order.\nClue 50: The person who owns a Tory Burch is at one of the ends.\nClue 51: The person who drinks tea is the Portuguese.\nClue 52: The person who owns a Versace is the person who likes sailing.\nClue 53: The person who supports the Bucks is at one of the ends.\nClue 54: The person who supports the Kansas City Chiefs is somewhere to the left of the person who drives the Toyota.\nClue 55: The person who owns a Versace is immediately to the left of the person who owns a Balenciaga.\nClue 56: The writer is at one of the ends.\nClue 57: The person who likes paragliding is immediately to the left of the person who likes running.\nClue 58: The person who likes lilies is somewhere in between the squash player and the person who drinks milk in that order.\nClue 59: The cello player is next to the person who drinks iced tea.\nClue 60: The person who likes lilies is somewhere to the left of the person who drinks beer.\nClue 61: The person who likes tulips is not the person who likes Fanta.\nClue 62: The oboe player is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 63: The person who owns a Tory Burch is at one of the ends.\nClue 64: The person who likes begonias is not the person who likes Limca.\nClue 65: The person who likes tacos is somewhere to the left of the cello player.\nClue 66: The person who drives the Kia is the person who likes base jumping.\nClue 67: The Israeli is somewhere in between the person who likes Coke and the person who owns a Kate Spade in that order.\nClue 68: The designer is the person who supports the Miami Dolphins.\nClue 69: The person who smokes Newport is the person who drives the Yamaha.\nClue 70: The person who likes Fanta is immediately to the left of the person who likes roses.\nClue 71: The person who likes Mountain Dew is not the person who likes wood carving.\nClue 72: The Korean is the person who likes lilies.\nClue 73: The person who likes scuba diving is somewhere to the left of the person who smokes Salem.\nClue 74: The person who supports the Celtics is the person who likes Coke.\nClue 75: The person who drives the Kia is at one of the ends.\nClue 76: The person who likes Powerade is the drums player.\nClue 77: The person who owns a Kate Spade is somewhere in between the oboe player and the person who likes begonias in that order.\nClue 78: The person who likes Pepsi is somewhere in between the person who drinks coffee and the guitar player in that order.\nClue 79: The person who owns a Tory Burch is not the person who likes fried rice.\nClue 80: The person who likes tulips is somewhere in between Rose and the person who supports the Cavaliers in that order.\nClue 81: The person who likes scuba diving is the person who drives the Ducati.\nClue 82: The person who likes crocheting is not the person who owns a Kate Spade.\nClue 83: Trinity is somewhere to the left of the person who likes Mountain Dew.\nClue 84: Randy is not the person who owns a Versace.\nClue 85: The person at the 6th position is the person who drives the Harley-Davidson.\nClue 86: The person who owns a Versace is the piano player.\nClue 87: The person who likes sailing is next to Rafael.\nClue 88: The Turkish is not the person who owns a Polo Ralph Lauren.\nClue 89: Wang is immediately to the left of the person who owns a Kate Spade.\nClue 90: The person at the 6th position is next to the person who reads humor books.\nClue 91: The Turkish is somewhere in between the person who likes Sprite and the person who likes Limca in that order.\nClue 92: The person who owns a Polo Ralph Lauren is not the soccer player.\nClue 93: The person who likes Fanta is somewhere in between the person who likes Limca and the saxophone player in that order.\nClue 94: The person who likes hiking is somewhere to the left of the person who smokes Winston.\nClue 95: The person who owns a Dolce and Gabbana is somewhere to the left of the person who likes fried rice.\nClue 96: The person who likes roses is the person who supports the Cavaliers.\nClue 97: The person who likes wood carving is at one of the ends.\nClue 98: The person who likes curry is the person who drinks iced coffee.\nClue 99: The person who supports the Pittsburgh Steelers is at one of the ends.\nClue 100: The person who likes Coke is somewhere to the left of the person who likes kebabs.\nClue 101: The person who likes crocheting is somewhere in between Mallika and the guitar player in that order.\nClue 102: The person who supports the Miami Dolphins is somewhere in between the person who drives the Buell and the person who smokes Marlboro in that order.\nClue 103: The person who drives the Ducati is the person who reads spiritual books.\nClue 104: The person who drives the Ford is immediately to the left of the person who reads magical realism books.\nClue 105: The person who reads science fiction books is somewhere in between the designer and the person who drives the Ducati in that order.\nClue 106: The person who drinks lemonade is somewhere in between the person who likes tacos and the volleyball player in that order.\nClue 107: Randy is somewhere in between the person who supports the Knicks and the person who owns a Michael Kors in that order.\nClue 108: The person who likes lilies is not the person who drinks iced coffee.\nClue 109: The person who likes orchids is not the badminton player.\nClue 110: The person who drives the Ford is next to the person who drives the Audi.\nClue 111: The person who reads magical realism books is next to the person who smokes Marlboro.\nClue 112: The person who likes roses is somewhere to the left of Mohan.\nClue 113: The Portuguese is immediately to the left of the cricket player.\nClue 114: The person who likes tulips is somewhere in between the person who owns a Balenciaga and the person who likes Powerade in that order.\nClue 115: The engineer is next to the designer.\nClue 116: Mallika is not the person who supports the Cavaliers.\nClue 117: The person who owns a Tory Burch is immediately to the left of Rose.\nClue 118: The person who drinks tea is immediately to the left of the oboe player.\nClue 119: The saxophone player is next to the person who likes begonias.\nClue 120: The saxophone player is somewhere to the left of the person who likes Powerade.\nClue 121: The badminton player is next to the Turkish.\nClue 122: The person who supports the Bucks is the person who likes fried rice.\nClue 123: The drums player is at one of the ends.\nClue 124: Randy is not the person who owns a Michael Kors.\nClue 125: The person who drinks iced tea is immediately to the left of Randy.\nClue 126: The person who reads science fiction books is somewhere to the left of the person who drives the Toyota.\nClue 127: The person who supports the Miami Dolphins is somewhere to the left of the person who smokes Blue Master.\nClue 128: The person who likes lilies is somewhere to the left of the drums player.\nClue 129: The person who drives the Piaggio is at one of the ends.\nClue 130: The person who supports the Warriors is the person who drinks iced tea.\nClue 131: The person who supports the Celtics is the person who drinks coffee.\nClue 132: The person who supports the Atlanta Falcons is immediately to the left of the person who drives the Mercedes.\nClue 133: The person who supports the Miami Dolphins is the person who drives the Suzuki.\nClue 134: The person who reads mystery books is at one of the ends.\nClue 135: The person who supports the Knicks is somewhere to the left of Wang.\nClue 136: The person who likes daffodils is not the person who drinks iced tea.\nClue 137: The person who likes snorkeling is the athlete.\nClue 138: The person who drives the Lexus is somewhere in between the person who smokes Dunhill and the person who reads science fiction books in that order.\nClue 139: The person who supports the Suns is not the person who drinks milk.\nClue 140: The person who likes hiking is somewhere in between the person who drives the Mercedes and the person who drives the Kia in that order.\n\nQuestion: What position is the person who reads mystery books at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:061", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone likes a different physical activity: weight lifting, skiing, running, scuba diving, snorkeling.\nEveryone likes a different type of flower: peonies, roses, daffodils, begonias, dahlias.\nEveryone likes a different fruit: blackberries, bananas, raspberries, kiwis, pears.\nEveryone has a different favorite hobby: drone flying, pottery, origami, archery, welding.\nEveryone likes a different food: kebabs, sandwiches, noodles, fried rice, soups.\nEveryone supports a different NBA team: Cavaliers, Lakers, Warriors, Mavericks, Suns.\nEveryone reads a different genre of books: spiritual, romance, humor, magical realism, mystery.\nEveryone owns a different handbag brand: Versace, Balenciaga, Tumi, Kate Spade, Michael Kors.\nEveryone likes a different favorite animal: black bears, dolphins, ants, crabs, mules.\nEveryone plays a different musical instrument: flute, harmonica, violin, harp, cello.\nEveryone drinks a different drink: milk, hot chocolate, tea, beer, iced coffee.\nEveryone likes a different type of gemstone: Diamonds, Pearls, Topaz, Opals, Sapphires.\nEveryone supports a different NFL team: Carolina Panthers, New England Patriots, Detroit Lions, Denver Broncos, Baltimore Ravens.\nEveryone plays a different sport: table tennis, tennis, volleyball, squash, soccer.\nEveryone lives in a different colored house: grey, orange, red, teal, yellow.\nEveryone has a different profession: writer, programmer, engineer, artist, spy.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drinks hot chocolate is next to the person who likes Sapphires.\nClue 2: The squash player is immediately to the left of the person who owns a Tumi.\nClue 3: The person who likes daffodils is next to the person who lives in the orange house.\nClue 4: The person who likes Sapphires is not the person who likes peonies.\nClue 5: The person who likes fried rice is not the volleyball player.\nClue 6: The spy is the person who likes running.\nClue 7: The person who likes pottery is the person who supports the Denver Broncos.\nClue 8: The spy is not the soccer player.\nClue 9: The person who likes soups is next to the engineer.\nClue 10: The person who likes roses is somewhere in between the person who likes drone flying and the person who likes snorkeling in that order.\nClue 11: The person who owns a Versace is the person who lives in the orange house.\nClue 12: The person who supports the Lakers is the person who likes dolphins.\nClue 13: The person who likes drone flying is somewhere in between the person who likes archery and the person who likes origami in that order.\nClue 14: The person who owns a Tumi is not the person who likes origami.\nClue 15: The person who likes roses is somewhere in between the person who likes sandwiches and the volleyball player in that order.\nClue 16: The person who likes Sapphires is the person who lives in the yellow house.\nClue 17: The person who likes noodles is next to the person who owns a Kate Spade.\nClue 18: The person who lives in the orange house is at one of the ends.\nClue 19: The person who likes Topaz is next to the person who likes skiing.\nClue 20: The person who supports the New England Patriots is not the person who likes Diamonds.\nClue 21: The person who likes skiing is the squash player.\nClue 22: The person who likes skiing is next to the person who likes Topaz.\nClue 23: The person who owns a Versace is the person who lives in the orange house.\nClue 24: The person who likes fried rice is somewhere to the left of the tennis player.\nClue 25: The person who likes scuba diving is the table tennis player.\nClue 26: The volleyball player is not the person who likes kebabs.\nClue 27: The person who likes Sapphires is next to the person who drinks hot chocolate.\nClue 28: The writer is somewhere in between the person who likes dahlias and the person who likes pottery in that order.\nClue 29: The person who supports the Cavaliers is the person who reads magical realism books.\nClue 30: The person who supports the Baltimore Ravens is somewhere in between the person who lives in the orange house and the person who likes dahlias in that order.\nClue 31: The person who likes origami is next to the person who owns a Balenciaga.\nClue 32: The person who drinks milk is not the person who owns a Balenciaga.\nClue 33: The person who drinks milk is not the person who likes origami.\nClue 34: The harp player is somewhere to the left of the person who likes black bears.\nClue 35: The person who supports the Warriors is somewhere in between the person who likes ants and the person who supports the Cavaliers in that order.\nClue 36: The table tennis player is at one of the ends.\nClue 37: The person who supports the Carolina Panthers is the squash player.\nClue 38: The person who eats blackberries is next to the person who supports the Mavericks.\nClue 39: The engineer is immediately to the left of the person who drinks beer.\nClue 40: The person who likes peonies is not the spy.\nClue 41: The person who supports the Baltimore Ravens is not the person who likes fried rice.\nClue 42: The person who supports the Detroit Lions is immediately to the left of the person who supports the Carolina Panthers.\nClue 43: The person who likes begonias is the person who likes noodles.\nClue 44: The person who likes soups is somewhere to the left of the person who owns a Tumi.\nClue 45: The person who drinks milk is somewhere to the left of the person who likes Sapphires.\nClue 46: The person who likes Diamonds is not the person who supports the Carolina Panthers.\nClue 47: The soccer player is not the person who lives in the grey house.\nClue 48: The person who supports the Denver Broncos is at one of the ends.\nClue 49: The programmer is the person who likes Topaz.\nClue 50: The person who reads mystery books is not the person who eats blackberries.\nClue 51: The person who likes scuba diving is the person who likes fried rice.\nClue 52: The person who likes origami is immediately to the left of the volleyball player.\nClue 53: The person who supports the New England Patriots is somewhere to the left of the person who likes Diamonds.\nClue 54: The person who lives in the red house is at one of the ends.\nClue 55: The person who drinks beer is somewhere in between the person who likes drone flying and the person who lives in the red house in that order.\nClue 56: The person who eats raspberries is somewhere to the left of the violin player.\nClue 57: The person who supports the New England Patriots is the person who likes archery.\nClue 58: The person who owns a Kate Spade is the person who likes origami.\nClue 59: The person who likes skiing is somewhere in between the person who lives in the grey house and the person who likes Topaz in that order.\nClue 60: The person who likes scuba diving is somewhere to the left of the person who owns a Kate Spade.\nClue 61: The person who likes soups is somewhere in between the person who likes fried rice and the person who likes noodles in that order.\nClue 62: The person who likes scuba diving is somewhere to the left of the person who supports the Baltimore Ravens.\nClue 63: The person who drinks iced coffee is immediately to the left of the person who drinks tea.\nClue 64: The person who likes snorkeling is not the person who likes fried rice.\nClue 65: The spy is somewhere to the left of the person who owns a Kate Spade.\nClue 66: The person who supports the New England Patriots is next to the person who drinks iced coffee.\nClue 67: The person who reads magical realism books is somewhere to the left of the person who reads humor books.\nClue 68: The person who likes roses is next to the person who drinks tea.\nClue 69: The person who likes Topaz is the person who lives in the red house.\nClue 70: The person who reads humor books is the person who likes dolphins.\nClue 71: The person who likes origami is somewhere to the left of the person who likes Topaz.\nClue 72: The person who supports the Detroit Lions is the engineer.\nClue 73: The person who likes scuba diving is the person who drinks milk.\nClue 74: The writer is the person who likes Sapphires.\nClue 75: The person who drinks iced coffee is somewhere in between the person who owns a Versace and the person who likes dahlias in that order.\nClue 76: The person who lives in the yellow house is next to the person who likes welding.\nClue 77: The spy is somewhere in between the person who likes Opals and the person who likes roses in that order.\nClue 78: The person who drinks beer is the squash player.\nClue 79: The person who likes roses is the person who owns a Kate Spade.\nClue 80: The person who lives in the orange house is the person who likes archery.\nClue 81: The person who likes daffodils is not the person who drinks tea.\nClue 82: The person who eats pears is the person who supports the Cavaliers.\nClue 83: The person who supports the Cavaliers is somewhere in between the harmonica player and the person who eats kiwis in that order.\nClue 84: The person who owns a Balenciaga is somewhere to the left of the volleyball player.\nClue 85: The person who reads humor books is at one of the ends.\nClue 86: The violin player is immediately to the left of the person who likes black bears.\nClue 87: The person who lives in the red house is at one of the ends.\nClue 88: The writer is the person who drinks beer.\nClue 89: The person who owns a Kate Spade is not the person who lives in the teal house.\nClue 90: The person who lives in the teal house is not the programmer.\nClue 91: The person who likes dahlias is immediately to the left of the person who likes skiing.\nClue 92: The person who likes pottery is the person who owns a Tumi.\nClue 93: The squash player is somewhere in between the person who likes soups and the person who lives in the red house in that order.\nClue 94: The engineer is somewhere in between the person who owns a Michael Kors and the person who likes kebabs in that order.\nClue 95: The person who reads romance books is the harp player.\nClue 96: The person who likes weight lifting is not the person who likes fried rice.\nClue 97: The person who owns a Tumi is the programmer.\nClue 98: The cello player is immediately to the left of the person who likes dolphins.\nClue 99: The violin player is the person who supports the Mavericks.\nClue 100: The person who likes ants is somewhere to the left of the person who eats bananas.\nClue 101: The person who drinks milk is not the person who likes Diamonds.\nClue 102: The person who supports the Carolina Panthers is the person who likes roses.\nClue 103: The artist is at one of the ends.\nClue 104: The person who likes origami is somewhere to the left of the volleyball player.\nClue 105: The person who supports the Baltimore Ravens is next to the person who likes Pearls.\nClue 106: The person who drinks iced coffee is next to the person who drinks tea.\nClue 107: The person who likes crabs is the cello player.\nClue 108: The person who likes peonies is the person who lives in the orange house.\nClue 109: The person who owns a Tumi is not the person who drinks milk.\nClue 110: The artist is somewhere to the left of the person who likes daffodils.\nClue 111: The person who likes skiing is somewhere in between the person who likes welding and the person who drinks hot chocolate in that order.\nClue 112: The person who owns a Kate Spade is not the person who lives in the teal house.\nClue 113: The person who likes snorkeling is not the squash player.\nClue 114: The person who likes scuba diving is next to the person who drinks iced coffee.\nClue 115: The person who likes Sapphires is somewhere in between the soccer player and the person who supports the Denver Broncos in that order.\nClue 116: The soccer player is the person who likes welding.\nClue 117: The person who likes pottery is at one of the ends.\nClue 118: The person who drinks tea is not the person who likes peonies.\n\nQuestion: What position is the person who eats raspberries at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:062", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone likes a different physical activity: snorkeling, paragliding, running, hiking, scuba diving, swimming.\nEveryone drives a different car: Hyundai, Ferrari, Audi, Lexus, McLaren, Mercedes.\nEveryone has a different name: Wang, Noah, Jackson, Michael, Mohan, Charlie.\nEveryone supports a different NFL team: Los Angeles Rams, Detroit Lions, Baltimore Ravens, Arizona Cardinals, Green Bay Packers, Miami Dolphins.\nEveryone drives a different motorbike: Piaggio, Benelli, Honda, Suzuki, Ducati, Kawasaki.\nEveryone plays a different sport: badminton, basketball, ice hockey, baseball, tennis, cricket.\nEveryone owns a different handbag brand: Dolce and Gabbana, Versace, Coach, Michael Kors, Kate Spade, Tumi.\nEveryone has a different profession: engineer, architect, actor, doctor, writer, designer.\nEveryone likes a different food: tacos, pasta, pizza, kebabs, curry, burgers.\nEveryone has a different favorite soft drink: Canada Dry, Powerade, Dr Pepper, Fanta, Sprite, 7up.\nEveryone is a different nationality: Brit, Nepali, German, Israeli, Chinese, Malaysian.\nEveryone lives in a different colored house: silver, violet, turquoise, black, gold, purple.\nEveryone has a different favorite hobby: video games, beekeeping, dancing, kayaking, wine making, welding.\nEveryone likes a different type of gemstone: Ambers, Amethysts, Jade, Obsidians, Opals, Gypsum.\nEveryone plays a different musical instrument: drums, piano, saxophone, oboe, cello, flute.\nEveryone reads a different genre of books: romance, history, fantasy, spiritual, short story, humor.\nEveryone likes a different fruit: kiwis, bananas, apples, blackberries, strawberries, raspberries.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes Jade is immediately to the left of Jackson.\nClue 2: The person who drives the Audi is somewhere to the left of the person who likes pizza.\nClue 3: The person who likes curry is somewhere in between the person who likes Canada Dry and the person who reads humor books in that order.\nClue 4: The person who likes pizza is somewhere in between the person who supports the Baltimore Ravens and the person who likes Sprite in that order.\nClue 5: The badminton player is not the oboe player.\nClue 6: The baseball player is at one of the ends.\nClue 7: The person who likes Fanta is the person who likes Ambers.\nClue 8: The person who reads humor books is at one of the ends.\nClue 9: The person who supports the Arizona Cardinals is immediately to the left of the actor.\nClue 10: Wang is not the person who likes kebabs.\nClue 11: The person who likes swimming is at one of the ends.\nClue 12: The person who reads romance books is next to the oboe player.\nClue 13: The person who drives the Hyundai is at one of the ends.\nClue 14: Jackson is somewhere in between the person who drives the Honda and the person who reads spiritual books in that order.\nClue 15: Noah is immediately to the left of Charlie.\nClue 16: The badminton player is immediately to the left of the person who drives the Kawasaki.\nClue 17: The German is somewhere in between the person who lives in the violet house and the person who likes beekeeping in that order.\nClue 18: Mohan is not the person who likes Amethysts.\nClue 19: The person who likes wine making is the person who owns a Kate Spade.\nClue 20: The person who likes paragliding is at one of the ends.\nClue 21: The person who drives the Honda is immediately to the left of the person who drives the Piaggio.\nClue 22: Noah is somewhere to the left of the person who supports the Detroit Lions.\nClue 23: The person who supports the Arizona Cardinals is somewhere in between the baseball player and the person who likes Canada Dry in that order.\nClue 24: The person who likes welding is the person who eats bananas.\nClue 25: Mohan is not the person who likes Powerade.\nClue 26: The ice hockey player is not the designer.\nClue 27: The person who drives the Kawasaki is next to the saxophone player.\nClue 28: The drums player is not the person who supports the Miami Dolphins.\nClue 29: The person who likes Opals is somewhere in between the basketball player and the tennis player in that order.\nClue 30: The Israeli is next to the person who lives in the gold house.\nClue 31: The person who likes Fanta is the person who likes Ambers.\nClue 32: The person who supports the Detroit Lions is somewhere in between Mohan and the person who likes tacos in that order.\nClue 33: The person who drives the Lexus is somewhere to the left of the flute player.\nClue 34: The cello player is immediately to the left of the person who drives the Piaggio.\nClue 35: The person who likes pasta is not the actor.\nClue 36: The saxophone player is somewhere to the left of the person who likes Gypsum.\nClue 37: The cricket player is not Mohan.\nClue 38: The person who likes burgers is somewhere in between the person who likes 7up and the person who supports the Los Angeles Rams in that order.\nClue 39: The person at the 6th position is the person who likes video games.\nClue 40: The person who likes 7up is immediately to the left of the architect.\nClue 41: The person who likes Dr Pepper is the oboe player.\nClue 42: The person who drives the Benelli is the person who drives the Ferrari.\nClue 43: The person who likes swimming is somewhere to the left of the person who likes beekeeping.\nClue 44: The writer is at one of the ends.\nClue 45: The badminton player is somewhere in between the person who supports the Baltimore Ravens and the person who likes Gypsum in that order.\nClue 46: The person who owns a Coach is the Brit.\nClue 47: The person who likes tacos is next to the person who likes Amethysts.\nClue 48: Wang is the person who likes tacos.\nClue 49: The doctor is somewhere to the left of the person who drives the Suzuki.\nClue 50: The person who likes Gypsum is at one of the ends.\nClue 51: The person who owns a Versace is the Malaysian.\nClue 52: The writer is at one of the ends.\nClue 53: The person who drives the Mercedes is the person who likes Canada Dry.\nClue 54: The actor is somewhere in between the piano player and the person who drives the McLaren in that order.\nClue 55: The person who eats kiwis is next to the person who eats blackberries.\nClue 56: The doctor is not the person who supports the Baltimore Ravens.\nClue 57: The person who supports the Baltimore Ravens is not Wang.\nClue 58: The person who supports the Arizona Cardinals is somewhere in between the person who reads fantasy books and the doctor in that order.\nClue 59: The person who likes pasta is not the person who drives the Mercedes.\nClue 60: The person who drives the Lexus is the doctor.\nClue 61: The person who likes 7up is not the oboe player.\nClue 62: The person who owns a Michael Kors is at one of the ends.\nClue 63: Noah is somewhere in between the writer and Wang in that order.\nClue 64: The Chinese is the person who lives in the silver house.\nClue 65: The person who eats blackberries is at one of the ends.\nClue 66: The person who drives the Honda is immediately to the left of the person who likes Obsidians.\nClue 67: The person who eats strawberries is the Brit.\nClue 68: The person who supports the Los Angeles Rams is somewhere in between the cello player and the person who supports the Detroit Lions in that order.\nClue 69: The person who likes pizza is somewhere in between the person who likes Fanta and the person who reads history books in that order.\nClue 70: The Israeli is somewhere to the left of the person who likes running.\nClue 71: The person who likes 7up is immediately to the left of the person who likes pasta.\nClue 72: The Malaysian is the person who eats bananas.\nClue 73: The person who drives the Audi is somewhere to the left of Wang.\nClue 74: The cello player is the person who drives the Honda.\nClue 75: The person who owns a Versace is somewhere to the left of the person who lives in the turquoise house.\nClue 76: Michael is not the writer.\nClue 77: The person who supports the Detroit Lions is the ice hockey player.\nClue 78: The person who drives the Hyundai is not the ice hockey player.\nClue 79: The person who likes swimming is the person who eats strawberries.\nClue 80: The person who drives the Benelli is next to the oboe player.\nClue 81: The person who drives the Suzuki is at one of the ends.\nClue 82: Mohan is at one of the ends.\nClue 83: The person who likes welding is somewhere to the left of the person who likes wine making.\nClue 84: The person who drives the Audi is somewhere in between the person who supports the Miami Dolphins and the person who drives the Ferrari in that order.\nClue 85: The person who likes pasta is the person who supports the Baltimore Ravens.\nClue 86: The person who supports the Miami Dolphins is immediately to the left of the person who likes pasta.\nClue 87: The person who likes Jade is not the oboe player.\nClue 88: The person who likes Dr Pepper is next to the person who reads spiritual books.\nClue 89: The person who drives the Hyundai is the person who likes 7up.\nClue 90: The person who likes snorkeling is the person who lives in the violet house.\nClue 91: The person who reads romance books is not Wang.\nClue 92: The badminton player is not Charlie.\nClue 93: The person who eats kiwis is next to the person who eats apples.\nClue 94: The basketball player is not the piano player.\nClue 95: The person who drives the Kawasaki is somewhere in between the person who reads spiritual books and the flute player in that order.\nClue 96: The person who reads history books is not the person who drives the Benelli.\nClue 97: The person who likes Jade is at one of the ends.\nClue 98: The person who reads history books is immediately to the left of the tennis player.\nClue 99: The person who likes Opals is somewhere in between the person who drives the Piaggio and the person who likes Gypsum in that order.\nClue 100: The person who likes scuba diving is the Chinese.\nClue 101: The person who owns a Tumi is somewhere in between the person who owns a Versace and the person who lives in the gold house in that order.\nClue 102: The person who likes pasta is not the person who reads romance books.\nClue 103: The person who drives the Benelli is somewhere in between the person who likes 7up and Noah in that order.\nClue 104: The person who reads romance books is the person who likes kebabs.\nClue 105: The person who likes Amethysts is somewhere in between the person who supports the Los Angeles Rams and the flute player in that order.\nClue 106: The person who supports the Green Bay Packers is next to the ice hockey player.\nClue 107: The person who likes curry is immediately to the left of the person who reads humor books.\nClue 108: The person at the 1st position is next to the person who owns a Versace.\nClue 109: The person who drives the Audi is somewhere in between the baseball player and the person who drives the McLaren in that order.\nClue 110: The Chinese is immediately to the left of the person who eats blackberries.\nClue 111: The person who reads fantasy books is immediately to the left of Michael.\nClue 112: The person who likes Ambers is somewhere in between the person who reads fantasy books and the person who likes Opals in that order.\nClue 113: Mohan is somewhere to the left of the person who reads spiritual books.\nClue 114: The writer is the cello player.\nClue 115: The baseball player is the person who likes 7up.\nClue 116: The person who drives the Ducati is the person who likes Amethysts.\nClue 117: The person who supports the Detroit Lions is next to the person who drives the Suzuki.\nClue 118: The person who lives in the violet house is the person who likes kayaking.\nClue 119: The doctor is the person who likes Amethysts.\nClue 120: The person who likes curry is somewhere to the left of Wang.\nClue 121: The person who drives the Lexus is immediately to the left of the person who likes Sprite.\nClue 122: The person who likes snorkeling is not the person who owns a Versace.\nClue 123: The designer is the person who likes Sprite.\nClue 124: The person who drives the Benelli is the piano player.\nClue 125: The ice hockey player is somewhere in between the person who reads short story books and the person who drives the McLaren in that order.\nClue 126: The person who lives in the black house is next to the person who lives in the violet house.\nClue 127: The person who likes curry is not the person who likes 7up.\nClue 128: The basketball player is somewhere in between the cello player and the person who likes Fanta in that order.\nClue 129: The person who likes curry is somewhere to the left of the person who likes tacos.\n\nQuestion: What position is the person who likes wine making at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:063", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone smokes a different cigarette: Blue Master, Marlboro, Blends, Dunhill, Winston, Davidoff, Salem.\nEveryone plays a different sport: tennis, cricket, baseball, badminton, basketball, soccer, squash.\nEveryone likes a different type of flower: roses, peonies, daisies, marigolds, carnations, orchids, tulips.\nEveryone supports a different NBA team: Mavericks, Lakers, Bulls, Celtics, Knicks, Warriors, Suns.\nEveryone likes a different fruit: bananas, blackberries, grapes, mangoes, oranges, raspberries, apples.\nEveryone drinks a different drink: tea, iced coffee, water, milk, beer, iced tea, lemonade.\nEveryone has a different favorite hobby: sailing, painting, dancing, origami, mixology, parkour, cooking.\nEveryone likes a different physical activity: skiing, hiking, biking, bungee jumping, weight lifting, snorkeling, base jumping.\nEveryone reads a different genre of books: short story, spiritual, magical realism, fantasy, romance, mystery, history.\nEveryone drives a different motorbike: Yamaha, Benelli, Piaggio, Harley-Davidson, Ducati, Kawasaki, Buell.\nEveryone has a different profession: teacher, engineer, programmer, designer, athlete, architect, singer.\nEveryone owns a different handbag brand: Michael Kors, Tory Burch, Gucci, Polo Ralph Lauren, Tumi, Versace, Kate Spade.\nEveryone has a different favorite soft drink: Mountain Dew, Canada Dry, Dr Pepper, 7up, Powerade, Sprite, Mirinda.\nEveryone likes a different food: fried rice, pizza, kebabs, curry, noodles, sandwiches, pasta.\nEveryone supports a different NFL team: Miami Dolphins, Atlanta Falcons, Denver Broncos, Baltimore Ravens, Chicago Bears, Green Bay Packers, Kansas City Chiefs.\nEveryone has a different name: Ali, Katherine, Michelle, Doug, Randy, Maven, Rajiv.\nEveryone likes a different type of gemstone: Gypsum, Obsidians, Corals, Aquamarines, Amethysts, Rubies, Moonstones.\nEveryone plays a different musical instrument: piano, guitar, harmonica, cello, flute, oboe, harp.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes mixology is next to the person who likes Gypsum.\nClue 2: The person who smokes Winston is somewhere to the left of the person who likes Obsidians.\nClue 3: The piano player is next to the person who drinks tea.\nClue 4: The person who drinks beer is the person who likes peonies.\nClue 5: The person who likes curry is Rajiv.\nClue 6: The person who drinks water is not the person who likes orchids.\nClue 7: The badminton player is the person who owns a Versace.\nClue 8: The person who supports the Green Bay Packers is immediately to the left of the person who likes weight lifting.\nClue 9: The person who drinks lemonade is at one of the ends.\nClue 10: The person who smokes Blue Master is the person who drinks iced tea.\nClue 11: The person who supports the Green Bay Packers is next to the person who drinks milk.\nClue 12: The person who supports the Denver Broncos is the person who likes orchids.\nClue 13: The person who likes Rubies is immediately to the left of the person who supports the Knicks.\nClue 14: The person who supports the Bulls is the person who likes peonies.\nClue 15: The person who smokes Dunhill is not the person who reads romance books.\nClue 16: The person who likes mixology is somewhere to the left of the flute player.\nClue 17: The person who supports the Lakers is not the person who likes weight lifting.\nClue 18: The person who drinks tea is not the piano player.\nClue 19: The person who likes cooking is immediately to the left of the person who likes Rubies.\nClue 20: Doug is the baseball player.\nClue 21: The person who owns a Kate Spade is somewhere in between the person who likes sandwiches and the person who drives the Buell in that order.\nClue 22: The person who likes hiking is somewhere in between the person who likes Amethysts and the person who smokes Marlboro in that order.\nClue 23: The person who eats mangoes is the person who drinks tea.\nClue 24: The person who likes Amethysts is the person who eats grapes.\nClue 25: The person who eats raspberries is somewhere in between the person who smokes Dunhill and the person who likes Rubies in that order.\nClue 26: Maven is immediately to the left of the person who owns a Versace.\nClue 27: The person who likes tulips is not the person who eats mangoes.\nClue 28: The person who smokes Blends is immediately to the left of the person who likes carnations.\nClue 29: The person who smokes Winston is not the person who likes base jumping.\nClue 30: The person who likes parkour is immediately to the left of the person who likes base jumping.\nClue 31: The person who owns a Michael Kors is Rajiv.\nClue 32: The person who likes painting is next to the person who likes parkour.\nClue 33: The person who likes Dr Pepper is somewhere to the left of the person at the 4th position.\nClue 34: The person who drinks milk is immediately to the left of the person who likes origami.\nClue 35: The oboe player is somewhere to the left of the person who likes hiking.\nClue 36: The person who likes Mountain Dew is somewhere to the left of Randy.\nClue 37: The person who reads spiritual books is somewhere to the left of the piano player.\nClue 38: The person who likes orchids is somewhere in between the person who smokes Dunhill and the person who reads romance books in that order.\nClue 39: The person who likes 7up is at one of the ends.\nClue 40: The athlete is the person who drives the Piaggio.\nClue 41: The person who eats raspberries is the person who supports the Warriors.\nClue 42: The singer is Rajiv.\nClue 43: The person who likes pasta is next to Randy.\nClue 44: The person who drinks iced tea is at one of the ends.\nClue 45: The person who likes Rubies is somewhere to the left of the person who likes weight lifting.\nClue 46: The person who likes Powerade is next to the person who likes Mountain Dew.\nClue 47: The cello player is not the person who supports the Warriors.\nClue 48: The person who reads magical realism books is not the piano player.\nClue 49: The person who drives the Harley-Davidson is immediately to the left of the basketball player.\nClue 50: The person who drinks water is the person who eats bananas.\nClue 51: The person at the 7th position is the person who drives the Yamaha.\nClue 52: The person who likes pizza is the person who owns a Polo Ralph Lauren.\nClue 53: The person who drives the Kawasaki is next to the person who likes noodles.\nClue 54: The person who drinks iced coffee is somewhere in between the person who supports the Celtics and the person who smokes Salem in that order.\nClue 55: The person who eats mangoes is the person who likes origami.\nClue 56: Randy is next to the engineer.\nClue 57: The person who drinks beer is somewhere in between the person who likes sailing and the person who likes parkour in that order.\nClue 58: The person who likes pasta is the person who owns a Tumi.\nClue 59: Doug is the person at the 2nd position.\nClue 60: The person who supports the Suns is not the person who reads mystery books.\nClue 61: The person who likes origami is immediately to the left of the person who eats oranges.\nClue 62: The person who smokes Salem is immediately to the left of the person who likes origami.\nClue 63: The person who likes painting is somewhere in between the flute player and the person who likes dancing in that order.\nClue 64: The person who reads mystery books is the person who likes snorkeling.\nClue 65: The person who smokes Dunhill is the person who supports the Bulls.\nClue 66: The person who drinks iced tea is at one of the ends.\nClue 67: The person who drinks tea is somewhere to the left of the person who smokes Marlboro.\nClue 68: The person who drinks tea is the person who likes Rubies.\nClue 69: Randy is the person who likes Powerade.\nClue 70: The person who reads magical realism books is somewhere in between the person who likes tulips and the person who supports the Green Bay Packers in that order.\nClue 71: The athlete is immediately to the left of the designer.\nClue 72: The person who likes Corals is not the person who eats apples.\nClue 73: The person who eats bananas is somewhere to the left of the person who eats mangoes.\nClue 74: The person who likes biking is the person who smokes Davidoff.\nClue 75: The person who likes noodles is next to the person who owns a Tory Burch.\nClue 76: The person who drinks milk is somewhere in between the person who eats raspberries and the person who likes hiking in that order.\nClue 77: The harmonica player is next to the person who reads history books.\nClue 78: The person who smokes Dunhill is the person who likes mixology.\nClue 79: The cello player is immediately to the left of the person who smokes Dunhill.\nClue 80: The person who supports the Bulls is immediately to the left of the person who smokes Davidoff.\nClue 81: The person who drinks iced coffee is somewhere in between the person who reads mystery books and the person who likes bungee jumping in that order.\nClue 82: The person who drinks tea is somewhere to the left of the person who drinks lemonade.\nClue 83: The person who likes daisies is at one of the ends.\nClue 84: The person who supports the Mavericks is immediately to the left of the person who smokes Winston.\nClue 85: The person who eats mangoes is next to the person who reads romance books.\nClue 86: The person who supports the Lakers is not the person who drinks iced coffee.\nClue 87: The person who owns a Kate Spade is immediately to the left of the singer.\nClue 88: The guitar player is the person who likes Aquamarines.\nClue 89: The person who drives the Yamaha is next to the person who likes noodles.\nClue 90: The person who likes Corals is somewhere to the left of the person who drinks lemonade.\nClue 91: The person who likes Rubies is not the person who eats blackberries.\nClue 92: The person who likes skiing is not the person who likes origami.\nClue 93: The architect is immediately to the left of Rajiv.\nClue 94: The person who supports the Mavericks is the person who supports the Atlanta Falcons.\nClue 95: The person who likes daisies is somewhere to the left of the person who drinks lemonade.\nClue 96: The athlete is somewhere to the left of the person who owns a Tumi.\nClue 97: The person who smokes Winston is not the harmonica player.\nClue 98: The person who likes marigolds is somewhere to the left of the person who drinks lemonade.\nClue 99: The person who drinks lemonade is the piano player.\nClue 100: The person who likes dancing is at one of the ends.\nClue 101: The person who drives the Ducati is next to the person who likes Mirinda.\nClue 102: The squash player is somewhere in between the person who likes pizza and the person who likes noodles in that order.\nClue 103: The person who likes roses is the person who supports the Knicks.\nClue 104: The person who likes tulips is not the person who drinks iced coffee.\nClue 105: The person who likes sailing is at one of the ends.\nClue 106: The person who likes orchids is somewhere in between the person who likes mixology and the person who reads romance books in that order.\nClue 107: The person who likes peonies is somewhere to the left of the person who likes carnations.\nClue 108: The person who eats apples is at one of the ends.\nClue 109: The person who likes bungee jumping is somewhere in between the person who drinks iced coffee and the person who reads fantasy books in that order.\nClue 110: The baseball player is next to the person who likes Mirinda.\nClue 111: The person who likes Aquamarines is somewhere to the left of the person who drinks milk.\nClue 112: The person who likes hiking is not the person who supports the Knicks.\nClue 113: The person who likes snorkeling is somewhere to the left of the person who smokes Blends.\nClue 114: The tennis player is immediately to the left of the person who owns a Kate Spade.\nClue 115: The person who supports the Celtics is the person who reads history books.\nClue 116: The person who drives the Yamaha is next to the athlete.\nClue 117: The person who supports the Kansas City Chiefs is the person who drinks lemonade.\nClue 118: The person who likes origami is next to the person who likes dancing.\nClue 119: The person who likes mixology is the person who supports the Baltimore Ravens.\nClue 120: The person who supports the Atlanta Falcons is somewhere to the left of the person who drinks tea.\nClue 121: The person who reads short story books is the person who likes daisies.\nClue 122: The person who drives the Harley-Davidson is next to the person who owns a Gucci.\nClue 123: The programmer is at one of the ends.\nClue 124: The person who supports the Kansas City Chiefs is the person who reads fantasy books.\nClue 125: The person who likes peonies is not the person who likes parkour.\nClue 126: Katherine is next to the person who owns a Kate Spade.\nClue 127: The person who likes skiing is not the person who drinks beer.\nClue 128: The person who likes sailing is not the guitar player.\nClue 129: The cricket player is immediately to the left of the person who likes kebabs.\nClue 130: The person who drives the Benelli is the person who likes Sprite.\nClue 131: The person who owns a Tory Burch is somewhere in between Michelle and the person who owns a Versace in that order.\nClue 132: The person who supports the Bulls is the person who eats blackberries.\nClue 133: The person who eats raspberries is immediately to the left of the person who eats grapes.\nClue 134: The person who smokes Marlboro is the person who supports the Kansas City Chiefs.\nClue 135: The person who supports the Green Bay Packers is not the person who reads short story books.\nClue 136: The person who likes Aquamarines is the person who eats blackberries.\nClue 137: The harp player is next to the person who eats oranges.\nClue 138: The person who likes bungee jumping is not the person who eats oranges.\n\nQuestion: What position is the singer at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:065", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone supports a different NFL team: Atlanta Falcons, Kansas City Chiefs, Green Bay Packers, Pittsburgh Steelers, Philadelphia Eagles.\nEveryone has a different favorite soft drink: Powerade, Mountain Dew, Fanta, Sprite, Dr Pepper.\nEveryone drinks a different drink: lemonade, iced coffee, milk, iced tea, hot chocolate.\nEveryone likes a different type of flower: carnations, daisies, roses, marigolds, tulips.\nEveryone has a different profession: singer, doctor, architect, actor, programmer.\nEveryone drives a different car: Lexus, McLaren, Ford, Mercedes, Ferrari.\nEveryone likes a different type of gemstone: Emeralds, Jade, Topaz, Rubies, Ambers.\nEveryone likes a different fruit: blackberries, raspberries, oranges, grapes, pears.\nEveryone has a different favorite hobby: drone flying, knitting, painting, quilting, dancing.\nEveryone likes a different favorite animal: hummingbirds, badgers, penguins, beetles, ferrets.\nEveryone owns a different handbag brand: Tumi, Coach, Polo Ralph Lauren, Balenciaga, Tory Burch.\nEveryone likes a different food: soups, tacos, burgers, pasta, fried rice.\nEveryone reads a different genre of books: short story, science fiction, humor, magical realism, history.\nEveryone lives in a different colored house: purple, grey, gold, blue, magenta.\nEveryone is a different nationality: Chinese, Italian, Iranian, Canadian, Japanese.\nEveryone drives a different motorbike: Bajaj, Yamaha, Buell, Kawasaki, Honda.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes Ambers is at one of the ends.\nClue 2: The person who drinks hot chocolate is not the singer.\nClue 3: The person who drives the Ford is next to the person who likes marigolds.\nClue 4: The person who drives the McLaren is at one of the ends.\nClue 5: The person who likes tacos is the person who drives the Yamaha.\nClue 6: The person who likes Emeralds is next to the person who drives the Kawasaki.\nClue 7: The person who drives the Kawasaki is the person who likes Topaz.\nClue 8: The person at the 1st position is the person who reads magical realism books.\nClue 9: The person who likes badgers is next to the person who likes tacos.\nClue 10: The person who likes Powerade is at one of the ends.\nClue 11: The person who likes Ambers is the person who likes fried rice.\nClue 12: The person who likes tacos is next to the person who likes Topaz.\nClue 13: The person who eats blackberries is the person who likes dancing.\nClue 14: The person who likes drone flying is the person at the 1st position.\nClue 15: The person who eats raspberries is immediately to the left of the person who eats grapes.\nClue 16: The person who drinks hot chocolate is immediately to the left of the person who drinks iced coffee.\nClue 17: The person who likes badgers is somewhere in between the person who drinks iced tea and the person who drinks lemonade in that order.\nClue 18: The person who owns a Polo Ralph Lauren is immediately to the left of the person who likes fried rice.\nClue 19: The person who likes ferrets is somewhere in between the person who owns a Tumi and the person who likes Rubies in that order.\nClue 20: The person who supports the Philadelphia Eagles is next to the person who reads short story books.\nClue 21: The person who drinks hot chocolate is somewhere in between the person who drives the Lexus and the person who drives the Honda in that order.\nClue 22: The person who likes fried rice is not the person who drives the Ferrari.\nClue 23: The person who drinks iced tea is immediately to the left of the person who likes tulips.\nClue 24: The person who drives the Honda is the person who likes Ambers.\nClue 25: The person who drinks iced tea is at one of the ends.\nClue 26: The person who likes Powerade is at one of the ends.\nClue 27: The person who likes Mountain Dew is somewhere to the left of the person who owns a Tory Burch.\nClue 28: The person who likes carnations is at one of the ends.\nClue 29: The person who likes penguins is at one of the ends.\nClue 30: The person who likes Dr Pepper is the person who drinks hot chocolate.\nClue 31: The person who likes Sprite is next to the person who likes beetles.\nClue 32: The person who lives in the magenta house is immediately to the left of the person who likes Powerade.\nClue 33: The person who likes ferrets is not the person who likes Topaz.\nClue 34: The person who drinks milk is somewhere to the left of the person who drives the Mercedes.\nClue 35: The person who likes beetles is the person who likes daisies.\nClue 36: The person who likes Dr Pepper is immediately to the left of the doctor.\nClue 37: The person who likes Topaz is somewhere to the left of the person who likes Ambers.\nClue 38: The person who likes Jade is somewhere to the left of the person who likes soups.\nClue 39: The person who owns a Balenciaga is immediately to the left of the person who likes tulips.\nClue 40: The person who likes Fanta is not the person who likes ferrets.\nClue 41: The person who drives the Ford is the person who drinks milk.\nClue 42: The person who owns a Coach is the person who likes penguins.\nClue 43: The person who owns a Balenciaga is not the person who drives the Lexus.\nClue 44: The programmer is immediately to the left of the person who likes Ambers.\nClue 45: The person who likes marigolds is not the person who drinks iced coffee.\nClue 46: The person who likes marigolds is the person who lives in the blue house.\nClue 47: The person who drives the Buell is next to the person who likes Fanta.\nClue 48: The person who reads science fiction books is the person who eats blackberries.\nClue 49: The person who owns a Polo Ralph Lauren is somewhere in between the person who drives the Lexus and the person who likes Ambers in that order.\nClue 50: The person who likes Jade is not the person who likes beetles.\nClue 51: The programmer is somewhere in between the person who lives in the blue house and the person who drinks iced coffee in that order.\nClue 52: The architect is immediately to the left of the person who drives the Mercedes.\nClue 53: The person who lives in the grey house is next to the architect.\nClue 54: The person who supports the Green Bay Packers is the person who likes quilting.\nClue 55: The person who owns a Balenciaga is the person who likes roses.\nClue 56: The person who drives the Ferrari is at one of the ends.\nClue 57: The person who drives the Kawasaki is not the person who drives the McLaren.\nClue 58: The person who drives the Ferrari is immediately to the left of the person who likes tulips.\nClue 59: The person who drinks iced tea is somewhere to the left of the person who likes soups.\nClue 60: The Canadian is at one of the ends.\nClue 61: The person who reads magical realism books is immediately to the left of the Japanese.\nClue 62: The person who likes tacos is at one of the ends.\nClue 63: The person who likes Mountain Dew is somewhere to the left of the person who drives the Kawasaki.\nClue 64: The person who likes soups is not the person who drives the Ford.\nClue 65: The person who drives the Yamaha is next to the person who likes Topaz.\nClue 66: The person who drives the Mercedes is somewhere in between the person who likes Emeralds and the person who drives the Honda in that order.\nClue 67: The person who drives the Yamaha is at one of the ends.\nClue 68: The person who supports the Atlanta Falcons is at one of the ends.\nClue 69: The person who likes badgers is somewhere to the left of the person who likes marigolds.\nClue 70: The person who lives in the purple house is at one of the ends.\nClue 71: The person who drives the McLaren is at one of the ends.\nClue 72: The actor is not the person who drives the Ferrari.\nClue 73: The person at the 2nd position is next to the Canadian.\nClue 74: The person who likes tacos is at one of the ends.\nClue 75: The person who likes penguins is not the person who drinks iced tea.\nClue 76: The person who likes marigolds is somewhere to the left of the person who likes Ambers.\nClue 77: The person who drinks iced coffee is at one of the ends.\nClue 78: The person who drinks hot chocolate is somewhere in between the person who drives the Buell and the person who lives in the gold house in that order.\nClue 79: The person who drives the McLaren is not the person who likes Jade.\nClue 80: The person who drives the Ferrari is at one of the ends.\nClue 81: The architect is next to the person who likes badgers.\nClue 82: The person who lives in the grey house is somewhere to the left of the person who lives in the gold house.\nClue 83: The person who likes painting is somewhere in between the person who supports the Kansas City Chiefs and the person who reads history books in that order.\nClue 84: The person who reads magical realism books is immediately to the left of the person who likes quilting.\nClue 85: The person who likes soups is the person who lives in the blue house.\nClue 86: The person who likes Dr Pepper is the person who drives the Bajaj.\nClue 87: The person who likes penguins is at one of the ends.\nClue 88: The person who drives the Honda is the person who likes penguins.\nClue 89: The person who drinks hot chocolate is the person who lives in the magenta house.\nClue 90: The person who eats oranges is the Japanese.\nClue 91: The person who likes Rubies is somewhere in between the person who likes Topaz and the person who drives the Honda in that order.\nClue 92: The person who drives the Lexus is somewhere in between the person who owns a Balenciaga and the person who owns a Coach in that order.\nClue 93: The person who likes soups is somewhere in between the actor and the person who drives the Mercedes in that order.\nClue 94: The person who likes Topaz is next to the person who likes Mountain Dew.\nClue 95: The person who drives the Ferrari is the person who likes Mountain Dew.\nClue 96: The person who drinks iced tea is somewhere to the left of the person who drinks hot chocolate.\nClue 97: The person who lives in the magenta house is somewhere to the left of the person who owns a Coach.\nClue 98: The person who likes painting is somewhere in between the Italian and the person who eats grapes in that order.\nClue 99: The person who supports the Kansas City Chiefs is the Italian.\nClue 100: The person who drinks milk is the person who likes tulips.\nClue 101: The person who drinks iced tea is at one of the ends.\nClue 102: The person who likes fried rice is at one of the ends.\nClue 103: The person who drinks lemonade is next to the person who drinks milk.\nClue 104: The person who likes Powerade is next to the person who drinks hot chocolate.\nClue 105: The person who owns a Tumi is somewhere in between the person who drives the Ferrari and the person who likes fried rice in that order.\nClue 106: The person who reads science fiction books is immediately to the left of the Chinese.\nClue 107: The person who drives the Ferrari is somewhere to the left of the person who owns a Coach.\nClue 108: The person who drinks iced coffee is the person who lives in the gold house.\nClue 109: The person who reads short story books is next to the person who likes drone flying.\nClue 110: The person who likes roses is the person who likes Jade.\nClue 111: The person who likes Topaz is the person who drinks milk.\nClue 112: The person who drinks iced tea is somewhere to the left of the person who drives the Ford.\nClue 113: The person who lives in the purple house is at one of the ends.\nClue 114: The person who owns a Polo Ralph Lauren is immediately to the left of the person who drinks iced coffee.\nClue 115: The person who drives the Yamaha is not the actor.\nClue 116: The person who likes burgers is the person who drinks milk.\nClue 117: The person who likes beetles is somewhere to the left of the doctor.\nClue 118: The person who likes pasta is the person who owns a Polo Ralph Lauren.\n\nQuestion: What position is the person who reads humor books at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:066", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone likes a different food: pizza, fried rice, curry, tacos, pasta, noodles.\nEveryone drives a different car: Audi, Tesla, Ferrari, BMW, Hyundai, Honda.\nEveryone likes a different favorite animal: llamas, grasshoppers, owls, kiwis, bats, dragonflies.\nEveryone has a different favorite soft drink: Limca, Mirinda, Dr Pepper, Pepsi, Powerade, Mountain Dew.\nEveryone lives in a different colored house: orange, violet, blue, beige, purple, black.\nEveryone drives a different motorbike: Suzuki, Benelli, Kawasaki, Bajaj, Buell, Yamaha.\nEveryone likes a different physical activity: weight lifting, swimming, running, paragliding, skiing, base jumping.\nEveryone has a different favorite hobby: crocheting, bird watching, mixology, biking, coin collecting, quilting.\nEveryone likes a different fruit: raspberries, blackberries, blueberries, mangoes, bananas, grapes.\nEveryone drinks a different drink: iced coffee, water, iced tea, coffee, milk, tea.\nEveryone plays a different musical instrument: oboe, harmonica, drums, cello, flute, saxophone.\nEveryone owns a different handbag brand: Kate Spade, Dolce and Gabbana, Tumi, Gucci, Tory Burch, Balenciaga.\nEveryone smokes a different cigarette: Davidoff, Blends, Newport, Blue Master, Camel, Dunhill.\nEveryone supports a different NBA team: Celtics, Cavaliers, Lakers, Warriors, Mavericks, Knicks.\nEveryone likes a different type of flower: daffodils, tulips, marigolds, carnations, lilies, roses.\nEveryone supports a different NFL team: New England Patriots, Baltimore Ravens, Los Angeles Rams, Carolina Panthers, Chicago Bears, Detroit Lions.\nEveryone likes a different type of gemstone: Gypsum, Topaz, Opals, Diamonds, Aquamarines, Emeralds.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Camel is somewhere in between the person who drives the Hyundai and the person who smokes Newport in that order.\nClue 2: The person who likes Mountain Dew is next to the person who supports the Baltimore Ravens.\nClue 3: The person who smokes Camel is immediately to the left of the person who drives the Honda.\nClue 4: The person who likes Dr Pepper is not the person who likes Diamonds.\nClue 5: The person who smokes Camel is the person who eats blackberries.\nClue 6: The person who likes kiwis is the person who likes Emeralds.\nClue 7: The person who likes marigolds is not the person who drives the Audi.\nClue 8: The person who likes Opals is next to the person who supports the Carolina Panthers.\nClue 9: The person who eats blueberries is immediately to the left of the person who likes noodles.\nClue 10: The person who likes Diamonds is somewhere in between the person who drinks iced tea and the person who supports the Mavericks in that order.\nClue 11: The person who likes owls is immediately to the left of the person who likes paragliding.\nClue 12: The person who likes coin collecting is immediately to the left of the person who drives the Bajaj.\nClue 13: The person who eats bananas is the person who likes noodles.\nClue 14: The person who smokes Camel is somewhere in between the person who likes roses and the person who eats grapes in that order.\nClue 15: The person who likes llamas is somewhere in between the person who likes Gypsum and the drums player in that order.\nClue 16: The person who owns a Gucci is not the person who likes Limca.\nClue 17: The harmonica player is not the person who drives the Buell.\nClue 18: The person who supports the Celtics is the person who likes Mirinda.\nClue 19: The person who likes Gypsum is somewhere in between the person who likes Opals and the person who supports the Cavaliers in that order.\nClue 20: The person who likes crocheting is not the drums player.\nClue 21: The person who drives the Bajaj is somewhere in between the person who supports the Los Angeles Rams and the person who supports the Celtics in that order.\nClue 22: The person who likes pasta is immediately to the left of the person who lives in the orange house.\nClue 23: The person who lives in the orange house is the person who drives the Tesla.\nClue 24: The person who drinks tea is at one of the ends.\nClue 25: The person who likes Topaz is at one of the ends.\nClue 26: The person who likes biking is not the person who likes skiing.\nClue 27: The person who likes Gypsum is somewhere to the left of the person who likes kiwis.\nClue 28: The person who likes Gypsum is somewhere to the left of the person who likes Mountain Dew.\nClue 29: The person who likes Opals is the person who supports the Warriors.\nClue 30: The person who supports the Baltimore Ravens is not the person who owns a Gucci.\nClue 31: The person who likes Opals is immediately to the left of the person who likes running.\nClue 32: The person who likes kiwis is at one of the ends.\nClue 33: The person who supports the Celtics is somewhere in between the person who likes grasshoppers and the person who likes Emeralds in that order.\nClue 34: The person who eats blueberries is at one of the ends.\nClue 35: The person who supports the Celtics is somewhere in between the person who drinks milk and the person who likes llamas in that order.\nClue 36: The person who drives the Suzuki is somewhere in between the person who likes crocheting and the person who likes biking in that order.\nClue 37: The person who supports the Mavericks is not the person who drives the Benelli.\nClue 38: The person who likes Dr Pepper is at one of the ends.\nClue 39: The person who supports the Mavericks is the person who drinks water.\nClue 40: The person who owns a Tumi is somewhere in between the person who likes grasshoppers and the person who likes base jumping in that order.\nClue 41: The person who supports the Detroit Lions is not the flute player.\nClue 42: The person who owns a Gucci is the person who likes Pepsi.\nClue 43: The flute player is at one of the ends.\nClue 44: The person who supports the Chicago Bears is not the person who drives the Suzuki.\nClue 45: The person who likes Pepsi is the person who drinks coffee.\nClue 46: The person who smokes Blue Master is at one of the ends.\nClue 47: The person who smokes Camel is immediately to the left of the person who likes curry.\nClue 48: The person who supports the Chicago Bears is immediately to the left of the person who owns a Kate Spade.\nClue 49: The person who supports the Celtics is not the person who likes owls.\nClue 50: The person who supports the Chicago Bears is somewhere in between the person who owns a Balenciaga and the person who supports the Carolina Panthers in that order.\nClue 51: The person who smokes Blends is immediately to the left of the person who likes fried rice.\nClue 52: The person who likes Dr Pepper is next to the person who drinks iced coffee.\nClue 53: The person who likes llamas is not the person who supports the Knicks.\nClue 54: The person who supports the Celtics is the person who likes mixology.\nClue 55: The person who drives the Benelli is at one of the ends.\nClue 56: The person who drives the Benelli is somewhere to the left of the person who likes Pepsi.\nClue 57: The person who eats raspberries is the person who drives the Audi.\nClue 58: The person who likes coin collecting is not the person who likes owls.\nClue 59: The person who likes weight lifting is somewhere in between the person who likes Limca and the person who likes Diamonds in that order.\nClue 60: The person who likes skiing is immediately to the left of the person who likes coin collecting.\nClue 61: The person who likes Mountain Dew is somewhere in between the person who supports the Lakers and the person who owns a Dolce and Gabbana in that order.\nClue 62: The person who smokes Blue Master is the person who likes tulips.\nClue 63: The person who drives the Ferrari is the person who lives in the purple house.\nClue 64: The person who lives in the violet house is immediately to the left of the person who drives the Tesla.\nClue 65: The person who drives the Yamaha is the person who likes biking.\nClue 66: The person who likes tulips is the person who likes pizza.\nClue 67: The person who likes Powerade is the person who likes grasshoppers.\nClue 68: The oboe player is somewhere to the left of the person who likes crocheting.\nClue 69: The person who drives the Bajaj is somewhere to the left of the person who likes kiwis.\nClue 70: The person who owns a Dolce and Gabbana is the person who likes kiwis.\nClue 71: The person who likes Gypsum is immediately to the left of the person who drives the Suzuki.\nClue 72: The person who likes Emeralds is at one of the ends.\nClue 73: The person who drives the Bajaj is the cello player.\nClue 74: The person who smokes Dunhill is at one of the ends.\nClue 75: The person who likes Diamonds is not the person who likes biking.\nClue 76: The person who likes Mirinda is somewhere in between the person who supports the Chicago Bears and the person who owns a Tumi in that order.\nClue 77: The person who likes Topaz is somewhere to the left of the person who likes Mirinda.\nClue 78: The drums player is not the person who drinks milk.\nClue 79: The person who eats raspberries is next to the person who lives in the beige house.\nClue 80: The person who drinks iced coffee is somewhere in between the person who likes Gypsum and the person who drinks water in that order.\nClue 81: The person who drinks iced coffee is somewhere in between the person who owns a Tory Burch and the person who drinks water in that order.\nClue 82: The person who lives in the blue house is immediately to the left of the person who smokes Camel.\nClue 83: The person who likes pasta is at one of the ends.\nClue 84: The person who supports the Celtics is next to the person who likes Opals.\nClue 85: The person who supports the Carolina Panthers is somewhere in between the person who likes quilting and the person who drinks water in that order.\nClue 86: The person who drives the Benelli is not the harmonica player.\nClue 87: The person who likes Topaz is next to the oboe player.\nClue 88: The person who likes grasshoppers is not the person who drives the Suzuki.\nClue 89: The person who owns a Tumi is somewhere in between the saxophone player and the person who likes Dr Pepper in that order.\nClue 90: The person who likes Limca is the person who drives the Benelli.\nClue 91: The person who likes Mountain Dew is the person who supports the Detroit Lions.\nClue 92: The person who likes Mirinda is somewhere in between the person who drinks milk and the harmonica player in that order.\nClue 93: The person who owns a Tory Burch is somewhere in between the person who likes Aquamarines and the person who supports the Carolina Panthers in that order.\nClue 94: The person who drinks iced tea is somewhere to the left of the drums player.\nClue 95: The person who owns a Tory Burch is next to the oboe player.\nClue 96: The person who likes skiing is at one of the ends.\nClue 97: The person who likes roses is the person at the 3rd position.\nClue 98: The person who drives the Yamaha is next to the person who likes Mountain Dew.\nClue 99: The person who likes daffodils is immediately to the left of the person who likes lilies.\nClue 100: The person who owns a Tory Burch is next to the person who owns a Kate Spade.\nClue 101: The person who likes Diamonds is somewhere to the left of the person who likes kiwis.\nClue 102: The person who supports the Detroit Lions is somewhere in between the person who supports the Carolina Panthers and the person who supports the Baltimore Ravens in that order.\nClue 103: The person who supports the Chicago Bears is not the person who drives the Benelli.\nClue 104: The person who drives the Ferrari is somewhere in between the person who smokes Blends and the person who likes carnations in that order.\nClue 105: The person who likes Diamonds is somewhere in between the person who drinks iced tea and the person who likes Dr Pepper in that order.\nClue 106: The person who supports the Lakers is not the person who owns a Tory Burch.\nClue 107: The person who likes crocheting is somewhere in between the person who likes Limca and the person who owns a Dolce and Gabbana in that order.\nClue 108: The person who likes grasshoppers is immediately to the left of the person who likes mixology.\nClue 109: The person who likes Diamonds is somewhere in between the person who owns a Kate Spade and the person who likes kiwis in that order.\nClue 110: The person who likes biking is at one of the ends.\nClue 111: The person who likes coin collecting is somewhere to the left of the person who drives the Yamaha.\nClue 112: The person who likes mixology is the person who likes dragonflies.\nClue 113: The person who likes kiwis is the person who supports the Baltimore Ravens.\nClue 114: The person who likes Diamonds is the person who owns a Tumi.\nClue 115: The person who likes swimming is somewhere in between the person who likes mixology and the person who supports the Baltimore Ravens in that order.\nClue 116: The person who smokes Blends is the person who lives in the blue house.\nClue 117: The person who drives the Suzuki is next to the person who drinks water.\nClue 118: The person who likes Diamonds is not the person who likes running.\nClue 119: The person who drives the BMW is somewhere to the left of the person who likes lilies.\nClue 120: The person who supports the Celtics is the person who likes mixology.\nClue 121: The drums player is not the person who supports the Celtics.\nClue 122: The person at the 1st position is the person who likes daffodils.\nClue 123: The person who supports the Knicks is immediately to the left of the person who drives the Kawasaki.\nClue 124: The person who owns a Dolce and Gabbana is next to the person who owns a Tumi.\nClue 125: The person who owns a Kate Spade is the person who likes running.\nClue 126: The person who owns a Tory Burch is not the person who drinks tea.\nClue 127: The person who likes Mountain Dew is the person who likes llamas.\nClue 128: The person who drinks milk is not the person who likes bats.\n\nQuestion: What position is the person who drives the Honda at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:068", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone drinks a different drink: water, beer, milk, lemonade, iced tea.\nEveryone likes a different food: noodles, tacos, kebabs, pasta, curry.\nEveryone has a different favorite hobby: painting, cheese making, drone flying, biking, kayaking.\nEveryone reads a different genre of books: magical realism, humor, mystery, history, short story.\nEveryone is a different nationality: Hungarian, Serbian, Canadian, Sri Lankan, Swede.\nEveryone owns a different handbag brand: Coach, Balenciaga, Versace, Gucci, Tumi.\nEveryone has a different name: Margaret, Rose, Randy, Michelle, Ali.\nEveryone likes a different type of gemstone: Aquamarines, Dolomites, Sapphires, Pearls, Diamonds.\nEveryone plays a different musical instrument: harmonica, guitar, drums, flute, saxophone.\nEveryone plays a different sport: squash, ice hockey, cricket, table tennis, soccer.\nEveryone likes a different favorite animal: badgers, dragonflies, sheep, ostriches, cheetahs.\nEveryone supports a different NFL team: Philadelphia Eagles, Buffalo Bills, Carolina Panthers, Atlanta Falcons, Baltimore Ravens.\nEveryone likes a different physical activity: paragliding, bungee jumping, base jumping, biking, swimming.\nEveryone lives in a different colored house: yellow, red, brown, gold, black.\nEveryone drives a different car: Honda, Tesla, Hyundai, Audi, Mercedes.\nEveryone likes a different type of flower: roses, daffodils, orchids, begonias, carnations.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Versace is next to the person who lives in the gold house.\nClue 2: The person who likes Pearls is somewhere in between the person who likes cheetahs and the Canadian in that order.\nClue 3: The person who likes tacos is immediately to the left of the person who supports the Philadelphia Eagles.\nClue 4: The person who owns a Tumi is at one of the ends.\nClue 5: The person who supports the Buffalo Bills is at one of the ends.\nClue 6: The person who likes curry is next to the person who likes orchids.\nClue 7: The person who likes drone flying is at one of the ends.\nClue 8: The person who lives in the red house is not the Hungarian.\nClue 9: The person who supports the Philadelphia Eagles is immediately to the left of the person who reads mystery books.\nClue 10: The person who likes drone flying is the person who likes ostriches.\nClue 11: The person who owns a Balenciaga is somewhere in between Rose and the person who lives in the yellow house in that order.\nClue 12: The person who likes orchids is not the person who lives in the brown house.\nClue 13: Rose is somewhere to the left of the person who supports the Buffalo Bills.\nClue 14: The Hungarian is next to the person who owns a Versace.\nClue 15: The person who reads history books is somewhere to the left of the person who likes Sapphires.\nClue 16: The person who likes ostriches is at one of the ends.\nClue 17: The person who likes sheep is somewhere to the left of the person who likes Dolomites.\nClue 18: The person who likes sheep is at one of the ends.\nClue 19: The person who likes Pearls is not the person who likes cheese making.\nClue 20: The person who likes orchids is somewhere in between Michelle and the person who likes Sapphires in that order.\nClue 21: The person who likes ostriches is at one of the ends.\nClue 22: The person who likes orchids is not the person who owns a Coach.\nClue 23: The person who supports the Philadelphia Eagles is somewhere in between the person who likes begonias and the person who likes ostriches in that order.\nClue 24: The person who likes orchids is immediately to the left of the person who lives in the yellow house.\nClue 25: The person who drives the Hyundai is at one of the ends.\nClue 26: The person who likes kebabs is somewhere to the left of the person who reads mystery books.\nClue 27: The person who owns a Versace is not the person who supports the Baltimore Ravens.\nClue 28: The person who supports the Buffalo Bills is at one of the ends.\nClue 29: The person who reads short story books is the person who likes kebabs.\nClue 30: The person who likes Aquamarines is immediately to the left of the person who lives in the gold house.\nClue 31: The person who owns a Balenciaga is somewhere in between the person who supports the Atlanta Falcons and the person who reads mystery books in that order.\nClue 32: The person who owns a Balenciaga is somewhere to the left of the person who lives in the yellow house.\nClue 33: The person who likes cheetahs is immediately to the left of the person who likes orchids.\nClue 34: The person who likes begonias is immediately to the left of the person who likes badgers.\nClue 35: The person who owns a Tumi is the person who reads mystery books.\nClue 36: Ali is not the person who likes kebabs.\nClue 37: The drums player is immediately to the left of the person who likes biking.\nClue 38: The Hungarian is not the person who likes sheep.\nClue 39: The squash player is the person who drinks milk.\nClue 40: The person who likes Aquamarines is not the person who reads history books.\nClue 41: The person who likes begonias is somewhere to the left of the person who supports the Buffalo Bills.\nClue 42: The person who likes cheetahs is not the Hungarian.\nClue 43: The person who supports the Carolina Panthers is somewhere to the left of the person who reads humor books.\nClue 44: The person who likes cheese making is somewhere in between the person who reads short story books and the person who likes Pearls in that order.\nClue 45: The cricket player is the person who likes paragliding.\nClue 46: The person who likes biking is at one of the ends.\nClue 47: The person who likes orchids is somewhere to the left of Randy.\nClue 48: The person who likes carnations is next to the person who supports the Philadelphia Eagles.\nClue 49: The person who supports the Carolina Panthers is the person who likes painting.\nClue 50: The person who drives the Audi is somewhere in between the person who likes paragliding and the person who likes bungee jumping in that order.\nClue 51: The person who supports the Carolina Panthers is next to the person who lives in the black house.\nClue 52: The person who owns a Gucci is not the person who lives in the yellow house.\nClue 53: The person who owns a Tumi is the person who likes carnations.\nClue 54: The person who supports the Carolina Panthers is somewhere in between the person who likes Aquamarines and the person who supports the Buffalo Bills in that order.\nClue 55: The person who likes kebabs is the person who likes Diamonds.\nClue 56: The person who supports the Philadelphia Eagles is somewhere in between the person who likes dragonflies and the person who likes ostriches in that order.\nClue 57: The person who likes biking is not the person who owns a Gucci.\nClue 58: The flute player is somewhere in between the cricket player and the person who drinks iced tea in that order.\nClue 59: The person who likes Pearls is somewhere in between the person who likes begonias and Randy in that order.\nClue 60: The person who likes dragonflies is not the person who lives in the brown house.\nClue 61: The person who likes orchids is somewhere in between the person who lives in the black house and the person who likes curry in that order.\nClue 62: The person who lives in the gold house is somewhere in between the person who reads magical realism books and the Serbian in that order.\nClue 63: The person who owns a Balenciaga is somewhere in between the person who likes Dolomites and the person who likes ostriches in that order.\nClue 64: The harmonica player is at one of the ends.\nClue 65: The person who drinks water is at one of the ends.\nClue 66: The person who reads short story books is the person who likes painting.\nClue 67: The person at the 2nd position is the ice hockey player.\nClue 68: The person who owns a Tumi is not the Swede.\nClue 69: The person who lives in the black house is next to the Serbian.\nClue 70: The person who lives in the gold house is the person who likes painting.\nClue 71: The person who likes ostriches is at one of the ends.\nClue 72: The person who supports the Baltimore Ravens is not the person who likes kebabs.\nClue 73: The person who likes noodles is next to the person who likes carnations.\nClue 74: The person who lives in the brown house is immediately to the left of the person who reads short story books.\nClue 75: The person who likes Aquamarines is Ali.\nClue 76: The person who likes Diamonds is somewhere in between the person who owns a Coach and the person who reads humor books in that order.\nClue 77: Rose is somewhere in between the person who likes Diamonds and Margaret in that order.\nClue 78: The person who reads history books is somewhere in between the person who owns a Versace and the person who supports the Buffalo Bills in that order.\nClue 79: Ali is not the Swede.\nClue 80: Margaret is next to the person who supports the Buffalo Bills.\nClue 81: The person who likes begonias is somewhere in between the person who reads short story books and the person who likes Sapphires in that order.\nClue 82: The person who likes badgers is next to the person who likes Sapphires.\nClue 83: The person who likes curry is not the person who likes sheep.\nClue 84: The person who likes drone flying is not the person who reads magical realism books.\nClue 85: The guitar player is somewhere to the left of the saxophone player.\nClue 86: The person who drives the Hyundai is immediately to the left of the person who drives the Mercedes.\nClue 87: Michelle is somewhere in between the person who owns a Coach and the person who lives in the yellow house in that order.\nClue 88: The person who drinks iced tea is the person who likes swimming.\nClue 89: The person who likes painting is not the person who likes sheep.\nClue 90: The person who likes Aquamarines is at one of the ends.\nClue 91: The person who likes daffodils is immediately to the left of the person who owns a Gucci.\nClue 92: The person who likes cheese making is somewhere in between the Hungarian and the Serbian in that order.\nClue 93: The person who likes daffodils is not the person who reads short story books.\nClue 94: The person who likes curry is next to the person who lives in the red house.\nClue 95: The person who likes kebabs is the person who supports the Carolina Panthers.\nClue 96: The person who likes badgers is not the person who supports the Atlanta Falcons.\nClue 97: The person who owns a Versace is somewhere in between the person who lives in the gold house and Randy in that order.\nClue 98: The person who reads magical realism books is not the Serbian.\nClue 99: The person who likes Dolomites is somewhere in between the person who likes kebabs and the person who lives in the red house in that order.\nClue 100: Rose is not the person who likes biking.\nClue 101: The person who likes orchids is immediately to the left of the person who supports the Buffalo Bills.\nClue 102: The person who lives in the brown house is the Sri Lankan.\nClue 103: The table tennis player is immediately to the left of the person who drinks lemonade.\nClue 104: Michelle is the person who likes roses.\nClue 105: Margaret is the person who likes Pearls.\nClue 106: The person who drinks milk is the person who drives the Tesla.\nClue 107: The person who likes painting is somewhere in between the person who likes pasta and the person who likes cheese making in that order.\nClue 108: The person who likes cheetahs is somewhere in between the person who likes Aquamarines and the person who likes ostriches in that order.\nClue 109: The guitar player is the person at the 3rd position.\nClue 110: The Hungarian is somewhere in between the person who supports the Baltimore Ravens and the person who supports the Atlanta Falcons in that order.\nClue 111: The person who reads magical realism books is the person who likes Aquamarines.\nClue 112: The person who likes carnations is the person who likes Sapphires.\nClue 113: The squash player is the person who likes biking.\nClue 114: The person who likes daffodils is the person who owns a Coach.\nClue 115: The person who likes pasta is at one of the ends.\nClue 116: The person who likes Dolomites is the person who owns a Versace.\nClue 117: The Swede is next to the person who likes kayaking.\n\nQuestion: What position is the drums player at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:070", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different favorite hobby: skiing, dancing, coin collecting, archery, sailing.\nEveryone has a different name: Drew, Mohsen, Margaret, Trinity, Mallika.\nEveryone owns a different handbag brand: Gucci, Balenciaga, Tory Burch, Tumi, Kate Spade.\nEveryone drinks a different drink: milk, hot chocolate, beer, tea, water.\nEveryone likes a different type of flower: peonies, marigolds, tulips, carnations, roses.\nEveryone plays a different musical instrument: guitar, piano, oboe, saxophone, violin.\nEveryone has a different profession: teacher, spy, architect, singer, athlete.\nEveryone drives a different motorbike: Piaggio, Buell, Benelli, Ducati, Bajaj.\nEveryone likes a different food: soups, fried rice, noodles, sandwiches, burgers.\nEveryone is a different nationality: Malaysian, Hungarian, Indian, Italian, Pakistani.\nEveryone reads a different genre of books: history, romance, mystery, science fiction, fantasy.\nEveryone smokes a different cigarette: Blends, Davidoff, Marlboro, Newport, Pall Mall.\nEveryone plays a different sport: baseball, table tennis, cricket, ice hockey, badminton.\nEveryone drives a different car: BMW, Ferrari, Lexus, Hyundai, Honda.\nEveryone supports a different NBA team: Warriors, Cavaliers, Bulls, Suns, Lakers.\nEveryone supports a different NFL team: Los Angeles Rams, Kansas City Chiefs, Miami Dolphins, Dallas Cowboys, Detroit Lions.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes marigolds is next to the person who drinks tea.\nClue 2: The Malaysian is not the person who likes peonies.\nClue 3: The person who smokes Davidoff is the person who likes peonies.\nClue 4: The person who smokes Pall Mall is at one of the ends.\nClue 5: The person who likes fried rice is somewhere to the left of the person who drives the Benelli.\nClue 6: The person who owns a Tory Burch is at one of the ends.\nClue 7: The person who smokes Marlboro is somewhere in between the athlete and the person who likes noodles in that order.\nClue 8: The person who owns a Tory Burch is the table tennis player.\nClue 9: The person who supports the Cavaliers is not the person who drives the Benelli.\nClue 10: The person who likes coin collecting is somewhere in between the person who drives the Piaggio and the teacher in that order.\nClue 11: The person who likes noodles is the person who drives the Buell.\nClue 12: The Malaysian is not the person who likes tulips.\nClue 13: The person who drives the Buell is somewhere in between Mallika and the person who likes dancing in that order.\nClue 14: The Malaysian is not the person who drives the Ducati.\nClue 15: The architect is somewhere in between Mohsen and the person who likes coin collecting in that order.\nClue 16: The person who likes marigolds is not the singer.\nClue 17: The athlete is not the person who likes tulips.\nClue 18: The person who supports the Dallas Cowboys is somewhere in between the person who likes skiing and the person who supports the Bulls in that order.\nClue 19: The athlete is not the person who drives the Piaggio.\nClue 20: The person who reads science fiction books is the badminton player.\nClue 21: The Pakistani is next to the person who likes marigolds.\nClue 22: The person who likes dancing is next to the person who drinks beer.\nClue 23: The person who likes burgers is not the person who drinks hot chocolate.\nClue 24: The person who likes burgers is not the Indian.\nClue 25: The Pakistani is Mohsen.\nClue 26: The person who drives the Bajaj is at one of the ends.\nClue 27: The Italian is somewhere to the left of the Indian.\nClue 28: The person who likes sandwiches is next to the person who smokes Davidoff.\nClue 29: The person who likes tulips is somewhere in between the person who likes archery and the person who smokes Pall Mall in that order.\nClue 30: The person who drinks tea is not the Hungarian.\nClue 31: The person who supports the Lakers is at one of the ends.\nClue 32: Mohsen is the Pakistani.\nClue 33: The person who supports the Lakers is not the person who smokes Pall Mall.\nClue 34: The guitar player is at one of the ends.\nClue 35: The person who likes coin collecting is somewhere in between the person who likes burgers and the person who smokes Pall Mall in that order.\nClue 36: The athlete is the person who likes fried rice.\nClue 37: The person who supports the Miami Dolphins is not the Hungarian.\nClue 38: The athlete is not the person who supports the Suns.\nClue 39: Drew is at one of the ends.\nClue 40: The person who drives the Hyundai is the person at the 3rd position.\nClue 41: The Indian is not the person who drives the Bajaj.\nClue 42: Drew is not the person who supports the Kansas City Chiefs.\nClue 43: The teacher is at one of the ends.\nClue 44: The person who supports the Kansas City Chiefs is somewhere to the left of the person who smokes Pall Mall.\nClue 45: The person who smokes Marlboro is somewhere in between the person who likes sailing and the person who drinks beer in that order.\nClue 46: The spy is at one of the ends.\nClue 47: The person who drives the Honda is next to the person who owns a Gucci.\nClue 48: The Italian is next to the person who likes tulips.\nClue 49: The person who drives the Piaggio is next to the person who likes noodles.\nClue 50: The person who smokes Blends is next to the person who drives the Ducati.\nClue 51: The person who likes dancing is at one of the ends.\nClue 52: The person who reads science fiction books is immediately to the left of the cricket player.\nClue 53: The person who likes sandwiches is at one of the ends.\nClue 54: The person who owns a Gucci is the person who drives the Lexus.\nClue 55: The person who drinks hot chocolate is at one of the ends.\nClue 56: The person who likes burgers is next to the person who likes fried rice.\nClue 57: The person who drives the Lexus is somewhere to the left of the person who reads mystery books.\nClue 58: The person who supports the Dallas Cowboys is not the architect.\nClue 59: The person who reads fantasy books is immediately to the left of the person who reads romance books.\nClue 60: The person who drinks tea is somewhere in between the person who likes skiing and the person who supports the Kansas City Chiefs in that order.\nClue 61: The piano player is the person who drives the Ferrari.\nClue 62: The architect is somewhere in between the person who drinks tea and the person who smokes Pall Mall in that order.\nClue 63: The violin player is the person who drives the Lexus.\nClue 64: The person who supports the Cavaliers is somewhere to the left of the person who supports the Kansas City Chiefs.\nClue 65: The teacher is Drew.\nClue 66: The person who drinks beer is somewhere in between the person who supports the Detroit Lions and the person who likes soups in that order.\nClue 67: The person who smokes Blends is immediately to the left of the person who supports the Dallas Cowboys.\nClue 68: The person who drives the Ducati is the person who likes fried rice.\nClue 69: The person who likes noodles is not the person who drinks tea.\nClue 70: The person who likes noodles is immediately to the left of the person who smokes Pall Mall.\nClue 71: The person who supports the Lakers is somewhere to the left of the person who likes coin collecting.\nClue 72: The person who drinks water is the person who likes archery.\nClue 73: The person who drives the Benelli is next to the singer.\nClue 74: The person who likes sandwiches is at one of the ends.\nClue 75: The person who smokes Blends is not the person who likes sailing.\nClue 76: Trinity is not the athlete.\nClue 77: The person who drives the Buell is somewhere in between the person who supports the Warriors and the person who likes soups in that order.\nClue 78: The person who drives the Ducati is somewhere to the left of Drew.\nClue 79: The Indian is the person who drives the Buell.\nClue 80: The person who drinks hot chocolate is Mallika.\nClue 81: The person who supports the Los Angeles Rams is the person who drives the Benelli.\nClue 82: The piano player is next to the person who owns a Kate Spade.\nClue 83: The person who likes peonies is the athlete.\nClue 84: The person who supports the Warriors is next to the person who drinks tea.\nClue 85: The person who likes noodles is somewhere to the left of Drew.\nClue 86: The person who drives the Benelli is at one of the ends.\nClue 87: The person who drinks milk is not the person who drives the Bajaj.\nClue 88: The person who likes archery is the architect.\nClue 89: The person who likes burgers is immediately to the left of the person who supports the Miami Dolphins.\nClue 90: The person who supports the Suns is next to the person who likes coin collecting.\nClue 91: The spy is immediately to the left of the person who smokes Davidoff.\nClue 92: The person who likes tulips is somewhere in between the person who supports the Dallas Cowboys and the Malaysian in that order.\nClue 93: The person who supports the Los Angeles Rams is not the person who drinks tea.\nClue 94: The person who supports the Kansas City Chiefs is somewhere in between the person who drinks tea and the person who supports the Los Angeles Rams in that order.\nClue 95: The person who likes roses is immediately to the left of the person who drinks beer.\nClue 96: The person who drinks hot chocolate is immediately to the left of the person who smokes Davidoff.\nClue 97: The person who likes tulips is immediately to the left of the person who drinks milk.\nClue 98: The person who likes fried rice is immediately to the left of the person who likes roses.\nClue 99: The person who drives the Buell is the person who supports the Bulls.\nClue 100: The person who supports the Cavaliers is somewhere to the left of the person who likes noodles.\nClue 101: The person who supports the Bulls is next to Drew.\nClue 102: The person who drives the Ferrari is next to the cricket player.\nClue 103: The person who supports the Miami Dolphins is not Mallika.\nClue 104: The person who likes tulips is the person who likes coin collecting.\nClue 105: The person who supports the Los Angeles Rams is not the person who likes roses.\nClue 106: The person who smokes Blends is immediately to the left of the person who supports the Dallas Cowboys.\nClue 107: The spy is at one of the ends.\nClue 108: The oboe player is immediately to the left of the piano player.\nClue 109: The person who supports the Lakers is not the person who likes peonies.\nClue 110: The person who supports the Cavaliers is not the architect.\nClue 111: The person who likes roses is the person who drives the Piaggio.\nClue 112: The person who supports the Los Angeles Rams is the teacher.\nClue 113: The person who drinks water is somewhere in between Mallika and the person who likes coin collecting in that order.\nClue 114: The ice hockey player is at one of the ends.\nClue 115: The person who supports the Lakers is at one of the ends.\nClue 116: The person who supports the Cavaliers is immediately to the left of the person who drinks water.\nClue 117: The person who owns a Tumi is somewhere in between the person who owns a Kate Spade and the person who drives the Hyundai in that order.\n\nQuestion: What position is the oboe player at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:073", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different favorite hobby: dancing, painting, fishing, welding, crocheting.\nEveryone supports a different NBA team: Warriors, Hawks, Knicks, Mavericks, Suns.\nEveryone lives in a different colored house: red, silver, orange, green, pink.\nEveryone has a different name: Ahmed, Jones, Mohsen, Siva, Michelle.\nEveryone has a different profession: actor, dancer, chef, artist, engineer.\nEveryone has a different favorite soft drink: Limca, 7up, Pepsi, Coke, Fanta.\nEveryone likes a different physical activity: paragliding, scuba diving, running, biking, swimming.\nEveryone likes a different favorite animal: ferrets, rabbits, bison, moose, blobfish.\nEveryone likes a different fruit: bananas, oranges, pears, kiwis, apples.\nEveryone owns a different handbag brand: Polo Ralph Lauren, Dolce and Gabbana, Coach, Balenciaga, Gucci.\nEveryone plays a different musical instrument: saxophone, flute, violin, harmonica, drums.\nEveryone drives a different motorbike: Kawasaki, Harley-Davidson, Yamaha, Buell, Suzuki.\nEveryone reads a different genre of books: spiritual, history, fantasy, short story, mystery.\nEveryone is a different nationality: Swiss, Israeli, Sri Lankan, Belarusian, Chilean.\nEveryone drinks a different drink: iced tea, coffee, water, milk, hot chocolate.\nEveryone likes a different food: tacos, pizza, noodles, curry, burgers.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes dancing is the person who likes noodles.\nClue 2: The engineer is the person who eats kiwis.\nClue 3: The person who likes tacos is next to the person who drinks coffee.\nClue 4: The person who likes Fanta is immediately to the left of the person who likes moose.\nClue 5: The person who drinks coffee is at one of the ends.\nClue 6: The person who drinks iced tea is somewhere in between the saxophone player and Jones in that order.\nClue 7: The person who likes Limca is not the person who likes bison.\nClue 8: The person who drives the Buell is the person who owns a Polo Ralph Lauren.\nClue 9: The actor is somewhere to the left of the person who likes pizza.\nClue 10: The person who likes scuba diving is immediately to the left of the Belarusian.\nClue 11: The drums player is the person who supports the Knicks.\nClue 12: The person who reads history books is at one of the ends.\nClue 13: The person who likes pizza is somewhere to the left of the violin player.\nClue 14: The person who supports the Mavericks is not the person who eats pears.\nClue 15: The dancer is somewhere in between the person who likes noodles and the person who drinks milk in that order.\nClue 16: The person who likes curry is somewhere to the left of the person who likes Coke.\nClue 17: The person who likes pizza is somewhere in between the flute player and the person who likes ferrets in that order.\nClue 18: The person who eats apples is at one of the ends.\nClue 19: The person who reads short story books is immediately to the left of the person who likes swimming.\nClue 20: The person who eats apples is not the person who likes curry.\nClue 21: The person who supports the Hawks is the person who likes crocheting.\nClue 22: The person who supports the Suns is at one of the ends.\nClue 23: The artist is at one of the ends.\nClue 24: The person who supports the Suns is not the flute player.\nClue 25: The person who drives the Harley-Davidson is at one of the ends.\nClue 26: The person who lives in the green house is somewhere to the left of the person who likes burgers.\nClue 27: The person who likes 7up is somewhere to the left of the person who likes ferrets.\nClue 28: The flute player is next to Jones.\nClue 29: The person who likes crocheting is next to the person who likes 7up.\nClue 30: The flute player is immediately to the left of the person who likes bison.\nClue 31: The person who drinks hot chocolate is not Siva.\nClue 32: The saxophone player is immediately to the left of Ahmed.\nClue 33: The person who eats oranges is somewhere to the left of the violin player.\nClue 34: The person who drinks milk is next to the person who likes welding.\nClue 35: The person who likes dancing is at one of the ends.\nClue 36: The person who supports the Hawks is the artist.\nClue 37: The dancer is the person who lives in the red house.\nClue 38: The person who likes moose is not the person who likes noodles.\nClue 39: The person who likes tacos is somewhere in between the person who likes blobfish and the chef in that order.\nClue 40: The person who reads fantasy books is somewhere to the left of the person who owns a Balenciaga.\nClue 41: Ahmed is not the person who likes noodles.\nClue 42: The engineer is somewhere in between the chef and the person who likes burgers in that order.\nClue 43: The person who likes scuba diving is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 44: The person who drinks hot chocolate is at one of the ends.\nClue 45: The person who likes biking is somewhere in between the person who reads fantasy books and the person who owns a Balenciaga in that order.\nClue 46: The person who owns a Balenciaga is next to the person who owns a Coach.\nClue 47: The saxophone player is at one of the ends.\nClue 48: The saxophone player is at one of the ends.\nClue 49: The flute player is not the person who likes bison.\nClue 50: The violin player is at one of the ends.\nClue 51: The person who likes dancing is the person who supports the Suns.\nClue 52: The person who likes rabbits is next to the person who likes moose.\nClue 53: The person who eats pears is not Michelle.\nClue 54: The person who owns a Polo Ralph Lauren is somewhere to the left of the person who likes paragliding.\nClue 55: The person who supports the Knicks is the person who drinks water.\nClue 56: The chef is not the person who likes Coke.\nClue 57: The person at the 4th position is the Israeli.\nClue 58: The person who likes 7up is somewhere in between the person who lives in the pink house and Mohsen in that order.\nClue 59: The person who drives the Suzuki is somewhere to the left of the person who likes scuba diving.\nClue 60: Siva is the person who likes curry.\nClue 61: The person who supports the Knicks is somewhere to the left of Mohsen.\nClue 62: The person who lives in the silver house is not Siva.\nClue 63: The person who lives in the pink house is not the violin player.\nClue 64: The person who drinks milk is somewhere in between the person who likes noodles and the drums player in that order.\nClue 65: The person who drinks coffee is next to the person who likes tacos.\nClue 66: The person who likes rabbits is immediately to the left of the drums player.\nClue 67: The person who likes crocheting is the person who eats pears.\nClue 68: The person who likes blobfish is not Ahmed.\nClue 69: The person who likes bison is the person who eats kiwis.\nClue 70: The person who likes scuba diving is the person who drives the Buell.\nClue 71: The person who likes ferrets is not the engineer.\nClue 72: The person who likes fishing is somewhere in between the person who likes tacos and the person who likes 7up in that order.\nClue 73: The person who drinks milk is somewhere in between the person who eats oranges and the person who likes ferrets in that order.\nClue 74: The person who likes crocheting is at one of the ends.\nClue 75: The person who supports the Knicks is somewhere in between the person who eats bananas and the person who drinks hot chocolate in that order.\nClue 76: The person who supports the Hawks is next to the person who supports the Knicks.\nClue 77: The Chilean is the person who drives the Suzuki.\nClue 78: Jones is next to Mohsen.\nClue 79: The person who lives in the red house is the dancer.\nClue 80: The chef is the person who likes curry.\nClue 81: The person who likes rabbits is somewhere in between the harmonica player and Mohsen in that order.\nClue 82: The person who likes 7up is the person who supports the Knicks.\nClue 83: The person who lives in the green house is the person who eats kiwis.\nClue 84: The person who lives in the red house is somewhere in between the person who likes blobfish and the person who lives in the pink house in that order.\nClue 85: The person who drinks coffee is the saxophone player.\nClue 86: The person who drives the Buell is immediately to the left of the person who reads short story books.\nClue 87: The person who likes blobfish is at one of the ends.\nClue 88: The person who likes curry is the person who supports the Mavericks.\nClue 89: The saxophone player is at one of the ends.\nClue 90: The dancer is next to the saxophone player.\nClue 91: The person who owns a Dolce and Gabbana is immediately to the left of the person who owns a Balenciaga.\nClue 92: The dancer is somewhere to the left of the person who lives in the orange house.\nClue 93: The person who likes blobfish is somewhere to the left of the person who drinks iced tea.\nClue 94: The person who likes 7up is not the person who eats oranges.\nClue 95: The person who lives in the green house is not the actor.\nClue 96: The person who reads mystery books is next to the person who likes scuba diving.\nClue 97: The engineer is immediately to the left of the person who eats pears.\nClue 98: The person who likes welding is somewhere in between Siva and the person who supports the Hawks in that order.\nClue 99: Michelle is the person who likes blobfish.\nClue 100: The Sri Lankan is the person who drives the Buell.\nClue 101: The person who likes Limca is next to the person who likes rabbits.\nClue 102: The person who likes ferrets is at one of the ends.\nClue 103: The person who lives in the orange house is next to Jones.\nClue 104: Jones is the person who drinks water.\nClue 105: The person who drives the Yamaha is the person who reads short story books.\nClue 106: The person who likes fishing is somewhere in between the person who lives in the red house and the person who drinks hot chocolate in that order.\nClue 107: The violin player is at one of the ends.\nClue 108: The chef is not the person who likes 7up.\nClue 109: The person who eats bananas is somewhere in between the person who likes Limca and the person who likes crocheting in that order.\nClue 110: The actor is somewhere to the left of the person who supports the Warriors.\nClue 111: The person who likes 7up is immediately to the left of Mohsen.\nClue 112: The person who likes fishing is not Mohsen.\nClue 113: The person who likes Limca is next to the person who eats bananas.\nClue 114: The person who likes curry is immediately to the left of the person who drinks water.\nClue 115: The person who lives in the silver house is next to the person who likes moose.\nClue 116: The person who lives in the green house is somewhere to the left of the person who likes burgers.\nClue 117: The person who lives in the green house is somewhere in between Siva and the person who eats pears in that order.\nClue 118: Jones is somewhere in between the person who likes fishing and the person who likes burgers in that order.\nClue 119: The Belarusian is immediately to the left of the person at the 4th position.\nClue 120: The saxophone player is not the person who lives in the pink house.\n\nQuestion: What position is the Sri Lankan at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:075", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone plays a different sport: volleyball, basketball, table tennis, baseball, cricket, ice hockey, tennis.\nEveryone supports a different NBA team: Warriors, Suns, Knicks, Celtics, Bulls, Mavericks, Bucks.\nEveryone has a different favorite soft drink: Mirinda, Gatorade, Limca, Mountain Dew, 7up, Sprite, Powerade.\nEveryone has a different name: Bob, Rafael, Mohan, Maven, Barbara, Doug, Alex.\nEveryone likes a different physical activity: skiing, running, weight lifting, scuba diving, swimming, paragliding, hiking.\nEveryone likes a different type of flower: dahlias, peonies, lilies, begonias, orchids, marigolds, carnations.\nEveryone likes a different fruit: strawberries, blueberries, apples, raspberries, blackberries, grapes, mangoes.\nEveryone likes a different favorite animal: doctorfish, dinosaurs, cheetahs, jellyfish, polar bears, woodpeckers, sea bass.\nEveryone drinks a different drink: water, milk, beer, iced coffee, hot chocolate, coffee, tea.\nEveryone owns a different handbag brand: Michael Kors, Dolce and Gabbana, Balenciaga, Gucci, Tumi, Versace, Tory Burch.\nEveryone plays a different musical instrument: guitar, drums, flute, cello, oboe, piano, harp.\nEveryone drives a different car: Mercedes, Ford, Kia, McLaren, Audi, Tesla, BMW.\nEveryone supports a different NFL team: Buffalo Bills, Baltimore Ravens, Atlanta Falcons, San Francisco 49ers, Miami Dolphins, Chicago Bears, New England Patriots.\nEveryone lives in a different colored house: silver, orange, blue, red, turquoise, purple, pink.\nEveryone has a different profession: chef, architect, programmer, actor, writer, engineer, designer.\nEveryone is a different nationality: Iranian, Italian, Bangladeshi, Swede, Brit, Korean, Swiss.\nEveryone likes a different type of gemstone: Pearls, Ambers, Aquamarines, Sapphires, Diamonds, Gypsum, Moonstones.\nEveryone drives a different motorbike: Ducati, Yamaha, Kawasaki, Buell, Bajaj, Honda, Piaggio.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who lives in the red house is somewhere in between the designer and the chef in that order.\nClue 2: The basketball player is the person who likes jellyfish.\nClue 3: The person who eats apples is next to the person who supports the Chicago Bears.\nClue 4: Maven is somewhere in between the person who drinks beer and Alex in that order.\nClue 5: The person who likes Ambers is the basketball player.\nClue 6: The person who lives in the purple house is somewhere in between the person who likes marigolds and the person who drives the BMW in that order.\nClue 7: The person who supports the San Francisco 49ers is somewhere in between the person who lives in the blue house and Alex in that order.\nClue 8: The person who supports the Chicago Bears is next to the person who supports the New England Patriots.\nClue 9: The person who owns a Michael Kors is immediately to the left of the person who eats strawberries.\nClue 10: The harp player is the person at the 3rd position.\nClue 11: The person who drives the Kia is next to the person who eats mangoes.\nClue 12: The baseball player is the person who supports the Warriors.\nClue 13: The person who eats mangoes is next to the person who likes Gatorade.\nClue 14: The person who likes Mirinda is not the person who likes orchids.\nClue 15: The person who supports the Celtics is next to the person who likes polar bears.\nClue 16: The designer is the person who owns a Dolce and Gabbana.\nClue 17: The person who owns a Michael Kors is somewhere to the left of the person who eats blueberries.\nClue 18: The person who supports the Chicago Bears is the person who likes orchids.\nClue 19: The person who eats mangoes is somewhere in between the person who eats grapes and the person who likes carnations in that order.\nClue 20: The designer is the person who likes Mirinda.\nClue 21: The person who supports the Baltimore Ravens is somewhere in between the person who drinks water and the person who supports the Buffalo Bills in that order.\nClue 22: The person who lives in the red house is not the person who likes Limca.\nClue 23: The person who drives the Tesla is at one of the ends.\nClue 24: Rafael is immediately to the left of the architect.\nClue 25: The person who lives in the orange house is next to the person who likes 7up.\nClue 26: Rafael is at one of the ends.\nClue 27: The person who eats blueberries is not the person who likes marigolds.\nClue 28: The Brit is immediately to the left of the guitar player.\nClue 29: The programmer is not Doug.\nClue 30: The person who owns a Tumi is the actor.\nClue 31: The person who owns a Versace is the person who drives the Honda.\nClue 32: The person who supports the San Francisco 49ers is not the person who drives the Bajaj.\nClue 33: The person who likes Powerade is not the person who drives the McLaren.\nClue 34: The person who lives in the orange house is not the person who drives the Ducati.\nClue 35: The person who drives the Kia is somewhere to the left of the person who drives the Piaggio.\nClue 36: The person who lives in the silver house is somewhere in between the architect and the person who likes Limca in that order.\nClue 37: The volleyball player is somewhere in between the person at the 3rd position and the Bangladeshi in that order.\nClue 38: The person who likes Sapphires is next to the table tennis player.\nClue 39: The person who lives in the silver house is immediately to the left of the person who owns a Gucci.\nClue 40: The person who drives the Kawasaki is not the person who supports the New England Patriots.\nClue 41: The person who likes polar bears is at one of the ends.\nClue 42: The person who likes Aquamarines is the baseball player.\nClue 43: The person who likes woodpeckers is the piano player.\nClue 44: The person who likes carnations is next to the person who drives the Buell.\nClue 45: The Brit is the ice hockey player.\nClue 46: The person who likes Gatorade is not the person who owns a Gucci.\nClue 47: The person who lives in the silver house is somewhere in between the person who drinks iced coffee and the person who drives the McLaren in that order.\nClue 48: The person who likes Diamonds is somewhere in between the Swiss and the flute player in that order.\nClue 49: The actor is not the person who likes Mirinda.\nClue 50: The person who eats blueberries is at one of the ends.\nClue 51: The person who lives in the blue house is somewhere to the left of the person who likes Gatorade.\nClue 52: Bob is next to the person who drives the Buell.\nClue 53: The person who eats apples is next to the person who likes Powerade.\nClue 54: The chef is the person who likes lilies.\nClue 55: The writer is the person who owns a Michael Kors.\nClue 56: The person who drives the Buell is somewhere to the left of the person who drinks coffee.\nClue 57: The person who likes woodpeckers is next to the baseball player.\nClue 58: The person who drives the Mercedes is the person who likes Powerade.\nClue 59: The person who drives the Audi is not the person who drives the Buell.\nClue 60: The baseball player is at one of the ends.\nClue 61: The person who drinks coffee is next to Maven.\nClue 62: The person who drives the Bajaj is somewhere to the left of the person who supports the Atlanta Falcons.\nClue 63: The person who likes Gypsum is immediately to the left of the flute player.\nClue 64: The person who supports the Buffalo Bills is immediately to the left of the person who likes Gatorade.\nClue 65: The programmer is somewhere in between the person who eats raspberries and the person who drives the McLaren in that order.\nClue 66: The person who likes carnations is next to the person who likes dahlias.\nClue 67: The person who supports the Atlanta Falcons is not the person who likes Mirinda.\nClue 68: The person who lives in the blue house is somewhere in between the person who owns a Dolce and Gabbana and the person who drives the Buell in that order.\nClue 69: The person who owns a Tumi is not the person who drives the Audi.\nClue 70: The person who likes Pearls is at one of the ends.\nClue 71: The person who likes swimming is at one of the ends.\nClue 72: The person who likes 7up is at one of the ends.\nClue 73: The person who drives the Honda is not the person who drives the Kia.\nClue 74: The person who supports the Chicago Bears is the person who owns a Balenciaga.\nClue 75: The person who likes swimming is next to the person who likes running.\nClue 76: The person who likes Limca is the person who drives the Piaggio.\nClue 77: The person who drinks iced coffee is somewhere to the left of the person who lives in the blue house.\nClue 78: The person who likes jellyfish is somewhere in between the person who supports the Bucks and the person who supports the Bulls in that order.\nClue 79: The person who lives in the purple house is somewhere in between the designer and the person who lives in the turquoise house in that order.\nClue 80: The person who supports the Chicago Bears is not the person who likes marigolds.\nClue 81: The person who drives the Ducati is somewhere in between the person who lives in the pink house and the person who supports the Miami Dolphins in that order.\nClue 82: Maven is not the person who drives the Ducati.\nClue 83: The person who drinks tea is not the person who eats blackberries.\nClue 84: The person who eats blueberries is at one of the ends.\nClue 85: The person who drives the Kia is somewhere to the left of Alex.\nClue 86: The Swiss is the person who supports the Mavericks.\nClue 87: The person who drinks water is next to the person who lives in the purple house.\nClue 88: The designer is not the person who drives the Piaggio.\nClue 89: The person who lives in the red house is next to the person who likes marigolds.\nClue 90: The person who lives in the silver house is not the person who supports the Chicago Bears.\nClue 91: The person who eats strawberries is not the person who owns a Tumi.\nClue 92: The person who lives in the purple house is the person who likes lilies.\nClue 93: The person who likes jellyfish is next to the person who likes Diamonds.\nClue 94: The person who eats mangoes is the person who drives the BMW.\nClue 95: Rafael is at one of the ends.\nClue 96: The person who drives the Audi is immediately to the left of the person who likes Mountain Dew.\nClue 97: The person who drives the Honda is the person who owns a Versace.\nClue 98: The person who supports the Atlanta Falcons is not Doug.\nClue 99: The cello player is at one of the ends.\nClue 100: The cello player is the Brit.\nClue 101: Alex is not the designer.\nClue 102: The person who likes dahlias is at one of the ends.\nClue 103: The person who eats mangoes is Bob.\nClue 104: The person who likes lilies is the person who drives the Audi.\nClue 105: The person who likes Gatorade is not the person who supports the Miami Dolphins.\nClue 106: The person who lives in the red house is immediately to the left of the person who drinks iced coffee.\nClue 107: The person who eats grapes is somewhere in between the person who eats blackberries and the person who drives the Buell in that order.\nClue 108: The Korean is the person who supports the Bucks.\nClue 109: The chef is somewhere in between the person who drives the Bajaj and the person who drives the Honda in that order.\nClue 110: The person who likes Limca is the person who eats strawberries.\nClue 111: The person who owns a Tumi is Bob.\nClue 112: The person who drinks water is not the person who supports the Buffalo Bills.\nClue 113: The person who likes dinosaurs is the person who likes Sapphires.\nClue 114: The person who likes Gypsum is the person who likes scuba diving.\nClue 115: The person who supports the Atlanta Falcons is somewhere in between the person who drives the Kia and the person who drives the Honda in that order.\nClue 116: The person who likes scuba diving is somewhere in between the oboe player and the person who likes cheetahs in that order.\nClue 117: The person who drives the Buell is somewhere in between the person who lives in the blue house and the programmer in that order.\nClue 118: The actor is somewhere in between the person who lives in the purple house and the person who drives the Ford in that order.\nClue 119: The person who likes weight lifting is immediately to the left of the Bangladeshi.\nClue 120: The person who drives the Yamaha is not the person who lives in the turquoise house.\nClue 121: The person who likes Gatorade is not the actor.\nClue 122: The person who lives in the pink house is at one of the ends.\nClue 123: The Iranian is the person who supports the Celtics.\nClue 124: The person who likes begonias is somewhere in between the person who drives the Kawasaki and the person who likes carnations in that order.\nClue 125: The person who likes paragliding is somewhere in between the person who likes skiing and the oboe player in that order.\nClue 126: Rafael is not the writer.\nClue 127: The person who owns a Michael Kors is somewhere to the left of the person who supports the Atlanta Falcons.\nClue 128: The person at the 2nd position is immediately to the left of the table tennis player.\nClue 129: The architect is the person who likes orchids.\nClue 130: The person who likes marigolds is the person who eats apples.\nClue 131: The person who supports the San Francisco 49ers is immediately to the left of Maven.\nClue 132: The person who likes hiking is the person who likes cheetahs.\nClue 133: The table tennis player is somewhere to the left of the tennis player.\nClue 134: The person who likes hiking is the flute player.\nClue 135: The person who supports the Warriors is the Swede.\nClue 136: The person who likes sea bass is immediately to the left of the person who supports the Knicks.\nClue 137: The person who likes hiking is next to the person who supports the Knicks.\nClue 138: The person who eats apples is at one of the ends.\n\nQuestion: What position is the Swiss at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:077", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone owns a different handbag brand: Tumi, Gucci, Balenciaga, Tory Burch, Versace, Dolce and Gabbana, Polo Ralph Lauren.\nEveryone lives in a different colored house: teal, purple, silver, beige, black, white, magenta.\nEveryone plays a different sport: basketball, table tennis, squash, volleyball, soccer, tennis, badminton.\nEveryone drives a different car: Toyota, Ford, Lexus, Tesla, Honda, Hyundai, McLaren.\nEveryone drinks a different drink: tea, iced coffee, beer, coffee, water, lemonade, hot chocolate.\nEveryone has a different favorite soft drink: Mountain Dew, Sprite, Powerade, Limca, Mirinda, Coke, Fanta.\nEveryone likes a different food: soups, burgers, pizza, tacos, fried rice, sandwiches, curry.\nEveryone reads a different genre of books: mystery, romance, fantasy, history, magical realism, humor, science fiction.\nEveryone has a different profession: architect, singer, spy, designer, programmer, artist, doctor.\nEveryone supports a different NFL team: Kansas City Chiefs, Denver Broncos, Chicago Bears, Seattle Seahawks, New England Patriots, Baltimore Ravens, Tennessee Titans.\nEveryone likes a different physical activity: bungee jumping, hiking, paragliding, skiing, scuba diving, biking, base jumping.\nEveryone is a different nationality: Mexican, American, Dane, Hungarian, Brit, Belarusian, Australian.\nEveryone supports a different NBA team: Cavaliers, Bulls, Bucks, Lakers, Suns, Mavericks, Hawks.\nEveryone likes a different type of flower: orchids, marigolds, lilies, peonies, daffodils, tulips, daisies.\nEveryone plays a different musical instrument: flute, oboe, harp, drums, piano, guitar, cello.\nEveryone likes a different favorite animal: geese, hippopotamuses, dugongs, panda bears, kangaroos, caterpillars, cougars.\nEveryone smokes a different cigarette: Salem, Blue Master, Newport, Dunhill, Blends, Marlboro, Davidoff.\nEveryone has a different favorite hobby: cheese making, bird watching, painting, wine making, biking, archery, wood carving.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drinks water is the person who likes Powerade.\nClue 2: The person who likes dugongs is the person who drinks water.\nClue 3: The person who supports the Denver Broncos is at one of the ends.\nClue 4: The person who likes hippopotamuses is the guitar player.\nClue 5: The person who likes archery is the person who smokes Dunhill.\nClue 6: The person who likes sandwiches is next to the artist.\nClue 7: The person who owns a Gucci is immediately to the left of the person who likes Coke.\nClue 8: The person who lives in the magenta house is immediately to the left of the person who likes orchids.\nClue 9: The person who smokes Marlboro is somewhere to the left of the Belarusian.\nClue 10: The person who drives the Toyota is immediately to the left of the person who smokes Salem.\nClue 11: The person who reads science fiction books is at one of the ends.\nClue 12: The person who owns a Balenciaga is the person who likes biking.\nClue 13: The person who likes biking is immediately to the left of the person who owns a Versace.\nClue 14: The person who reads magical realism books is the person who likes tulips.\nClue 15: The person who supports the Chicago Bears is the person who likes fried rice.\nClue 16: The person who likes base jumping is the person who lives in the purple house.\nClue 17: The person who likes panda bears is immediately to the left of the person who drinks lemonade.\nClue 18: The volleyball player is not the Belarusian.\nClue 19: The person who drives the Lexus is not the person who smokes Salem.\nClue 20: The person who drives the Tesla is at one of the ends.\nClue 21: The person who owns a Tumi is at one of the ends.\nClue 22: The person who likes Powerade is the person who owns a Gucci.\nClue 23: The person who likes bungee jumping is immediately to the left of the person who likes base jumping.\nClue 24: The badminton player is the person who likes cougars.\nClue 25: The person who drives the Hyundai is next to the person who smokes Davidoff.\nClue 26: The person who owns a Versace is the person who drinks beer.\nClue 27: The person who owns a Dolce and Gabbana is immediately to the left of the Belarusian.\nClue 28: The person who supports the New England Patriots is the person who likes base jumping.\nClue 29: The person who likes panda bears is next to the person who owns a Dolce and Gabbana.\nClue 30: The Mexican is immediately to the left of the person who supports the Bulls.\nClue 31: The Mexican is immediately to the left of the person who supports the Bulls.\nClue 32: The person who drives the Hyundai is immediately to the left of the cello player.\nClue 33: The person who likes painting is immediately to the left of the person who drinks coffee.\nClue 34: The person who likes marigolds is at one of the ends.\nClue 35: The person who supports the Lakers is somewhere to the left of the soccer player.\nClue 36: The badminton player is at one of the ends.\nClue 37: The person who likes archery is at one of the ends.\nClue 38: The tennis player is the person who likes Limca.\nClue 39: The tennis player is the person who drinks tea.\nClue 40: The person who supports the Bulls is somewhere to the left of the person who likes Coke.\nClue 41: The person who likes skiing is the designer.\nClue 42: The person who smokes Newport is immediately to the left of the piano player.\nClue 43: The person who owns a Gucci is the person who smokes Davidoff.\nClue 44: The Brit is somewhere in between the person who likes wine making and the person who likes Limca in that order.\nClue 45: The person who drives the McLaren is somewhere in between the person who likes cougars and the person who likes Limca in that order.\nClue 46: The person who supports the Baltimore Ravens is somewhere in between the doctor and the person who likes pizza in that order.\nClue 47: The person who supports the Cavaliers is immediately to the left of the person who likes panda bears.\nClue 48: The person who likes daffodils is immediately to the left of the person who lives in the white house.\nClue 49: The singer is the person who supports the Tennessee Titans.\nClue 50: The Mexican is immediately to the left of the drums player.\nClue 51: The Dane is not the tennis player.\nClue 52: The person who drinks lemonade is immediately to the left of the tennis player.\nClue 53: The person who likes Mirinda is the basketball player.\nClue 54: The person who supports the Lakers is somewhere to the left of the person who smokes Salem.\nClue 55: The person at the 5th position is the person who likes curry.\nClue 56: The person who drives the Lexus is somewhere in between the guitar player and the person who supports the Mavericks in that order.\nClue 57: The person who likes bird watching is somewhere in between the person who drinks beer and the person who drinks tea in that order.\nClue 58: The person who likes Sprite is the Hungarian.\nClue 59: The person who likes tulips is somewhere in between the person who likes lilies and the person who supports the Denver Broncos in that order.\nClue 60: The person who likes bird watching is somewhere in between the Hungarian and the person who likes Limca in that order.\nClue 61: The person who drinks lemonade is the oboe player.\nClue 62: The Brit is the person who owns a Dolce and Gabbana.\nClue 63: The piano player is not the person who likes Mountain Dew.\nClue 64: The person who likes panda bears is somewhere in between the drums player and the person who likes kangaroos in that order.\nClue 65: The basketball player is the person who likes Mirinda.\nClue 66: The person who owns a Balenciaga is the person who supports the Cavaliers.\nClue 67: The person who likes burgers is immediately to the left of the person who supports the Seattle Seahawks.\nClue 68: The person who likes skiing is somewhere in between the person who likes scuba diving and the person who likes orchids in that order.\nClue 69: The person who reads romance books is immediately to the left of the spy.\nClue 70: The table tennis player is not the person who drives the Hyundai.\nClue 71: The person who drives the Honda is immediately to the left of the person who supports the Bulls.\nClue 72: The person who likes biking is immediately to the left of the person who supports the Seattle Seahawks.\nClue 73: The person who supports the Bucks is somewhere in between the person who supports the Hawks and the person who drinks tea in that order.\nClue 74: The person who lives in the white house is immediately to the left of the person who lives in the silver house.\nClue 75: The person who likes tacos is immediately to the left of the person who lives in the purple house.\nClue 76: The Hungarian is not the badminton player.\nClue 77: The harp player is the person who drinks tea.\nClue 78: The person who likes caterpillars is somewhere in between the person who smokes Blends and the person who smokes Salem in that order.\nClue 79: The soccer player is at one of the ends.\nClue 80: The person who owns a Tumi is next to the person who owns a Gucci.\nClue 81: The person who smokes Davidoff is next to the person who likes archery.\nClue 82: The person who reads fantasy books is next to the programmer.\nClue 83: The person who smokes Blue Master is somewhere in between the drums player and the oboe player in that order.\nClue 84: The person who lives in the white house is somewhere to the left of the programmer.\nClue 85: The person who reads romance books is the person who likes peonies.\nClue 86: The person who smokes Salem is at one of the ends.\nClue 87: The architect is the person who reads mystery books.\nClue 88: The person who likes Powerade is somewhere to the left of the cello player.\nClue 89: The person who reads history books is immediately to the left of the programmer.\nClue 90: The badminton player is at one of the ends.\nClue 91: The person who reads humor books is the person who likes orchids.\nClue 92: The table tennis player is the person who likes Powerade.\nClue 93: The person who likes wine making is the person who smokes Marlboro.\nClue 94: The person who lives in the beige house is at one of the ends.\nClue 95: The person who drives the Toyota is somewhere in between the Dane and the person who likes Fanta in that order.\nClue 96: The person who likes burgers is somewhere in between the artist and the person who likes curry in that order.\nClue 97: The person who drives the Honda is somewhere to the left of the person who supports the Bucks.\nClue 98: The person who likes peonies is the person who likes skiing.\nClue 99: The person who likes bungee jumping is at one of the ends.\nClue 100: The volleyball player is somewhere to the left of the soccer player.\nClue 101: The person who drives the McLaren is immediately to the left of the person who likes biking.\nClue 102: The squash player is not the person who likes caterpillars.\nClue 103: The badminton player is the person who smokes Dunhill.\nClue 104: The Brit is somewhere in between the person who drinks beer and the Belarusian in that order.\nClue 105: The person who supports the Hawks is not the guitar player.\nClue 106: The basketball player is somewhere in between the person who likes hippopotamuses and the tennis player in that order.\nClue 107: The person who supports the Cavaliers is next to the person who supports the Hawks.\nClue 108: The person who owns a Dolce and Gabbana is somewhere to the left of the person who drives the Toyota.\nClue 109: The person who drives the Toyota is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 110: The person who smokes Marlboro is next to the person who drives the Hyundai.\nClue 111: The person who likes soups is somewhere to the left of the person who lives in the teal house.\nClue 112: The American is immediately to the left of the person who smokes Blue Master.\nClue 113: The person who likes caterpillars is somewhere in between the person who supports the Bucks and the person who drives the Tesla in that order.\nClue 114: The person who drinks beer is somewhere in between the person who owns a Gucci and the person who drinks lemonade in that order.\nClue 115: The person who likes Limca is the tennis player.\nClue 116: The person who supports the Cavaliers is the person who likes biking.\nClue 117: The person who smokes Blue Master is somewhere in between the person who owns a Gucci and the person who likes Sprite in that order.\nClue 118: The person who reads romance books is next to the person who reads humor books.\nClue 119: The soccer player is the piano player.\nClue 120: The person who drives the Lexus is not the person who owns a Tumi.\nClue 121: The basketball player is the person who drives the Ford.\nClue 122: The person who likes kangaroos is immediately to the left of the person who drinks tea.\nClue 123: The person who likes Sprite is somewhere in between the person who supports the Bulls and the person who owns a Dolce and Gabbana in that order.\nClue 124: The person who drinks hot chocolate is at one of the ends.\nClue 125: The person who smokes Davidoff is somewhere in between the person who drives the Honda and the person who owns a Polo Ralph Lauren in that order.\nClue 126: The person who likes tulips is somewhere in between the person who likes hiking and the person who supports the Seattle Seahawks in that order.\nClue 127: The person who drives the Lexus is the person who drinks beer.\nClue 128: The person who likes cougars is at one of the ends.\nClue 129: The person who supports the Mavericks is at one of the ends.\nClue 130: The person who smokes Marlboro is next to the person who smokes Blends.\nClue 131: The person who likes Limca is the person who likes caterpillars.\nClue 132: The person who owns a Dolce and Gabbana is somewhere in between the volleyball player and the person who supports the Mavericks in that order.\nClue 133: The person who supports the Hawks is somewhere in between the volleyball player and the person who supports the Bucks in that order.\nClue 134: The Dane is the person who supports the Cavaliers.\nClue 135: The person who drinks water is somewhere in between the flute player and the person who smokes Marlboro in that order.\nClue 136: The person who supports the Denver Broncos is the person who likes orchids.\n\nQuestion: What position is the person who supports the Chicago Bears at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:082", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone drives a different car: Audi, Lexus, BMW, Ford, Toyota, Kia, Mercedes.\nEveryone likes a different type of gemstone: Topaz, Rubies, Ambers, Jade, Corals, Pearls, Obsidians.\nEveryone has a different profession: engineer, singer, programmer, athlete, actor, artist, doctor.\nEveryone plays a different sport: table tennis, basketball, cricket, baseball, ice hockey, squash, soccer.\nEveryone drinks a different drink: orange juice, water, beer, hot chocolate, tea, milk, iced coffee.\nEveryone supports a different NBA team: Cavaliers, Bulls, Bucks, Warriors, Lakers, Mavericks, Suns.\nEveryone likes a different food: fried rice, pizza, kebabs, burgers, noodles, soups, sandwiches.\nEveryone plays a different musical instrument: flute, saxophone, drums, harp, harmonica, violin, guitar.\nEveryone likes a different fruit: blueberries, kiwis, pears, raspberries, grapes, blackberries, oranges.\nEveryone owns a different handbag brand: Tumi, Coach, Michael Kors, Kate Spade, Dolce and Gabbana, Tory Burch, Polo Ralph Lauren.\nEveryone drives a different motorbike: Kawasaki, Harley-Davidson, Bajaj, Suzuki, Ducati, Piaggio, Yamaha.\nEveryone reads a different genre of books: magical realism, fantasy, mystery, short story, spiritual, history, humor.\nEveryone has a different name: Michelle, Michael, Rafael, Rose, Katherine, Mohan, Bob.\nEveryone has a different favorite hobby: skiing, wood carving, archery, horse riding, knitting, parkour, quilting.\nEveryone likes a different favorite animal: cougars, leopards, reindeer, sheep, hippopotamuses, penguins, bees.\nEveryone likes a different physical activity: swimming, weight lifting, bungee jumping, snorkeling, hiking, scuba diving, paragliding.\nEveryone supports a different NFL team: Atlanta Falcons, Carolina Panthers, Kansas City Chiefs, Cincinnati Bengals, Arizona Cardinals, Tennessee Titans, Pittsburgh Steelers.\nEveryone likes a different type of flower: dahlias, carnations, daisies, roses, orchids, lilies, peonies.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Tennessee Titans is immediately to the left of the person who likes weight lifting.\nClue 2: The person who likes sheep is the harmonica player.\nClue 3: Rafael is at one of the ends.\nClue 4: The drums player is somewhere in between the person who supports the Suns and the person who likes sandwiches in that order.\nClue 5: The person who likes peonies is next to the person who drives the Ducati.\nClue 6: The engineer is the person who likes burgers.\nClue 7: The singer is the person who likes archery.\nClue 8: The harmonica player is next to the person who eats blueberries.\nClue 9: The person who drives the Yamaha is the table tennis player.\nClue 10: The person who reads short story books is immediately to the left of Michael.\nClue 11: The person who likes bungee jumping is at one of the ends.\nClue 12: The person who supports the Suns is somewhere to the left of the person who drives the Lexus.\nClue 13: The person who drives the BMW is at one of the ends.\nClue 14: The person who likes archery is not the person who drives the BMW.\nClue 15: The person who supports the Cavaliers is at one of the ends.\nClue 16: The artist is not the person who likes skiing.\nClue 17: The person who likes reindeer is the singer.\nClue 18: The person who drinks hot chocolate is immediately to the left of Rose.\nClue 19: The person who supports the Mavericks is somewhere to the left of the flute player.\nClue 20: The ice hockey player is the person who owns a Dolce and Gabbana.\nClue 21: The person who likes kebabs is immediately to the left of the person who eats blueberries.\nClue 22: The doctor is the person who likes Obsidians.\nClue 23: The person who supports the Bucks is immediately to the left of the person who supports the Bulls.\nClue 24: The person who reads history books is next to the person who drives the Piaggio.\nClue 25: The person who likes horse riding is the person who drives the Ford.\nClue 26: The person who likes Pearls is somewhere to the left of the drums player.\nClue 27: The person who reads magical realism books is next to the table tennis player.\nClue 28: The drums player is not the person who supports the Suns.\nClue 29: The person who likes fried rice is not the person who likes hiking.\nClue 30: The person who eats kiwis is somewhere in between the saxophone player and the person who supports the Kansas City Chiefs in that order.\nClue 31: The person who drives the Ford is next to the person who likes archery.\nClue 32: The person who likes scuba diving is somewhere in between the person who supports the Bucks and the person who drives the Kia in that order.\nClue 33: The person who likes paragliding is immediately to the left of the person who likes soups.\nClue 34: The athlete is not the person who supports the Cincinnati Bengals.\nClue 35: The person who reads spiritual books is somewhere to the left of the person who drinks water.\nClue 36: The person who supports the Arizona Cardinals is immediately to the left of the person who likes archery.\nClue 37: The drums player is the singer.\nClue 38: The person who likes noodles is not the person who likes Corals.\nClue 39: The person who drives the Kawasaki is the squash player.\nClue 40: The person who likes parkour is the person who drives the Lexus.\nClue 41: The person who likes Ambers is next to the person who supports the Cavaliers.\nClue 42: Michael is somewhere in between the baseball player and Rose in that order.\nClue 43: The person who likes sheep is not the person who supports the Carolina Panthers.\nClue 44: The person who drinks hot chocolate is the person who reads humor books.\nClue 45: Michelle is the person who owns a Coach.\nClue 46: The person who drinks beer is the table tennis player.\nClue 47: The person who likes kebabs is the person who drives the Ford.\nClue 48: The person who likes scuba diving is somewhere to the left of the engineer.\nClue 49: The person who eats blackberries is next to the person who eats kiwis.\nClue 50: The person who likes Rubies is somewhere to the left of the saxophone player.\nClue 51: The person who likes Ambers is somewhere in between the person who likes fried rice and the engineer in that order.\nClue 52: The person who likes swimming is somewhere to the left of the person who likes burgers.\nClue 53: The person who likes carnations is immediately to the left of the soccer player.\nClue 54: The person who likes Obsidians is not the person who supports the Atlanta Falcons.\nClue 55: The person who drives the Kia is not the drums player.\nClue 56: The person who supports the Tennessee Titans is the person who eats raspberries.\nClue 57: The person who owns a Polo Ralph Lauren is the person who drinks milk.\nClue 58: The person who likes snorkeling is at one of the ends.\nClue 59: The person who likes Jade is immediately to the left of the person who eats pears.\nClue 60: The person at the 2nd position is next to Mohan.\nClue 61: The person who eats raspberries is at one of the ends.\nClue 62: The drums player is somewhere in between the athlete and the person who eats pears in that order.\nClue 63: The person who reads fantasy books is next to the person who likes orchids.\nClue 64: The person who drives the Kia is next to the person who likes Ambers.\nClue 65: The person who likes Ambers is not the person who likes horse riding.\nClue 66: The person who owns a Dolce and Gabbana is the person at the 6th position.\nClue 67: The person at the 3rd position is immediately to the left of the person who reads mystery books.\nClue 68: The harmonica player is not the person who likes noodles.\nClue 69: The person who likes kebabs is next to the person who likes archery.\nClue 70: The person who supports the Warriors is the person who likes quilting.\nClue 71: The person who likes Pearls is next to the person who likes bees.\nClue 72: The athlete is at one of the ends.\nClue 73: The person who likes Jade is next to the person who likes Obsidians.\nClue 74: The doctor is somewhere to the left of the person who likes parkour.\nClue 75: The drums player is next to the person who supports the Bulls.\nClue 76: The person who likes sheep is not the person who likes Corals.\nClue 77: The person who owns a Kate Spade is the person who likes peonies.\nClue 78: The person who likes Rubies is immediately to the left of the person who likes kebabs.\nClue 79: The person who drives the BMW is somewhere to the left of the person who drives the Audi.\nClue 80: The person who likes snorkeling is at one of the ends.\nClue 81: The person who drinks hot chocolate is somewhere to the left of the person who owns a Dolce and Gabbana.\nClue 82: The person who likes roses is the person who owns a Coach.\nClue 83: The person who eats pears is not the person who supports the Tennessee Titans.\nClue 84: The person who drinks tea is somewhere to the left of the person at the 3rd position.\nClue 85: The person who likes Ambers is not the harmonica player.\nClue 86: The person who supports the Mavericks is the person who supports the Atlanta Falcons.\nClue 87: The person who likes peonies is the person who drives the Yamaha.\nClue 88: The person who likes Ambers is not the person who likes bees.\nClue 89: The person who likes parkour is the person who supports the Bulls.\nClue 90: The person who likes lilies is the baseball player.\nClue 91: The person who likes parkour is somewhere to the left of the person who eats kiwis.\nClue 92: The person who drives the Mercedes is next to the person who likes fried rice.\nClue 93: The flute player is at one of the ends.\nClue 94: The person who supports the Kansas City Chiefs is the person who likes knitting.\nClue 95: The person who supports the Cincinnati Bengals is immediately to the left of the person who drives the Ford.\nClue 96: The person who likes cougars is somewhere in between the programmer and the person who likes penguins in that order.\nClue 97: The person who likes snorkeling is at one of the ends.\nClue 98: The person who likes soups is somewhere to the left of the person who eats blackberries.\nClue 99: The person who eats blackberries is at one of the ends.\nClue 100: The person who likes snorkeling is the person who likes knitting.\nClue 101: The person who likes fried rice is at one of the ends.\nClue 102: The person who likes Ambers is somewhere in between the programmer and the person who likes penguins in that order.\nClue 103: The person who drinks hot chocolate is the person who owns a Tory Burch.\nClue 104: The person who likes Obsidians is next to the person who supports the Bucks.\nClue 105: The person who reads humor books is somewhere to the left of the person who owns a Dolce and Gabbana.\nClue 106: The violin player is next to the person who drives the Ford.\nClue 107: The person who supports the Suns is not the person who likes swimming.\nClue 108: The person who eats oranges is not the person who drives the BMW.\nClue 109: The person who likes fried rice is at one of the ends.\nClue 110: The person who supports the Warriors is not the person who eats blueberries.\nClue 111: The person who likes dahlias is the person who drives the Bajaj.\nClue 112: The person who reads short story books is somewhere in between the person who drinks beer and the person who drinks hot chocolate in that order.\nClue 113: The person who likes orchids is somewhere to the left of Katherine.\nClue 114: The cricket player is the person who drinks orange juice.\nClue 115: The person who likes hippopotamuses is somewhere in between the person who likes soups and the guitar player in that order.\nClue 116: The artist is somewhere to the left of the person who supports the Suns.\nClue 117: The engineer is at one of the ends.\nClue 118: The soccer player is next to the ice hockey player.\nClue 119: The person who drinks beer is at one of the ends.\nClue 120: The person who drives the Yamaha is next to the person who owns a Michael Kors.\nClue 121: The person who likes quilting is next to the person who drives the Mercedes.\nClue 122: The person who supports the Suns is somewhere in between the person who eats raspberries and the person who likes burgers in that order.\nClue 123: The person who likes skiing is somewhere in between the person who likes sandwiches and the person who supports the Kansas City Chiefs in that order.\nClue 124: The person who likes archery is immediately to the left of the person who likes Corals.\nClue 125: The person who likes hiking is next to the person who supports the Bulls.\nClue 126: The person who likes quilting is not the person who likes Ambers.\nClue 127: The person who supports the Cavaliers is next to the person who likes swimming.\nClue 128: The person who likes Jade is somewhere in between the person who supports the Arizona Cardinals and the person who drives the Kia in that order.\nClue 129: The person who likes bees is the person who drives the Mercedes.\nClue 130: The person who drives the Harley-Davidson is the person who owns a Coach.\nClue 131: Katherine is the person who drinks hot chocolate.\nClue 132: The person who likes archery is somewhere in between the person who likes bees and the person who likes hippopotamuses in that order.\nClue 133: The person who likes Ambers is not the person who eats blueberries.\nClue 134: The person who drives the Toyota is not the person who supports the Tennessee Titans.\nClue 135: The harp player is at one of the ends.\nClue 136: The person who likes Pearls is immediately to the left of the person who likes wood carving.\nClue 137: The drums player is not the person who likes kebabs.\n\nQuestion: What position is the person who likes dahlias at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:084", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone is a different nationality: Swede, Croatian, Israeli, Russian, Malaysian, Korean.\nEveryone plays a different musical instrument: oboe, flute, harp, harmonica, cello, drums.\nEveryone supports a different NBA team: Hawks, Bucks, Lakers, Warriors, Celtics, Bulls.\nEveryone has a different profession: artist, doctor, architect, dancer, programmer, teacher.\nEveryone likes a different fruit: grapes, kiwis, apples, blackberries, raspberries, mangoes.\nEveryone likes a different type of flower: lilies, dahlias, begonias, daisies, carnations, roses.\nEveryone lives in a different colored house: beige, orange, red, cyan, brown, silver.\nEveryone smokes a different cigarette: Dunhill, Camel, Newport, Salem, Winston, Blends.\nEveryone drives a different car: Kia, Ford, BMW, Audi, McLaren, Hyundai.\nEveryone drives a different motorbike: Buell, Ducati, Piaggio, Honda, Suzuki, Kawasaki.\nEveryone reads a different genre of books: romance, spiritual, science fiction, fantasy, humor, mystery.\nEveryone plays a different sport: tennis, table tennis, basketball, cricket, volleyball, soccer.\nEveryone likes a different food: pizza, burgers, curry, kebabs, soups, sandwiches.\nEveryone likes a different type of gemstone: Amethysts, Opals, Pearls, Diamonds, Topaz, Jade.\nEveryone drinks a different drink: iced tea, hot chocolate, milk, tea, beer, orange juice.\nEveryone owns a different handbag brand: Tory Burch, Polo Ralph Lauren, Tumi, Versace, Dolce and Gabbana, Balenciaga.\nEveryone has a different name: Jones, Nour, Barbara, Randy, Wang, Joseph.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Polo Ralph Lauren is not the person who supports the Hawks.\nClue 2: The person who likes Pearls is immediately to the left of the person who likes daisies.\nClue 3: Wang is at one of the ends.\nClue 4: The person who likes Diamonds is somewhere in between the Korean and the person who drinks hot chocolate in that order.\nClue 5: The oboe player is somewhere in between the person who eats mangoes and the drums player in that order.\nClue 6: The person who smokes Camel is not the Swede.\nClue 7: The person who smokes Winston is at one of the ends.\nClue 8: The table tennis player is immediately to the left of the person who smokes Dunhill.\nClue 9: The person who owns a Polo Ralph Lauren is immediately to the left of the tennis player.\nClue 10: The person who drives the Piaggio is not the cricket player.\nClue 11: The Korean is next to the person who reads fantasy books.\nClue 12: Nour is somewhere in between the person who drives the Suzuki and the person who supports the Warriors in that order.\nClue 13: The person who drives the Buell is the Swede.\nClue 14: The person who lives in the orange house is the person who likes sandwiches.\nClue 15: The Korean is next to the person who likes carnations.\nClue 16: The person who lives in the cyan house is at one of the ends.\nClue 17: The person who likes roses is not the person who supports the Bulls.\nClue 18: The oboe player is immediately to the left of the artist.\nClue 19: The person who reads fantasy books is immediately to the left of the person who owns a Tumi.\nClue 20: The person who drinks milk is the Croatian.\nClue 21: The person who likes Pearls is the person who reads fantasy books.\nClue 22: The person who drinks orange juice is not the volleyball player.\nClue 23: The person who likes carnations is the person who reads romance books.\nClue 24: The Malaysian is somewhere in between Barbara and the basketball player in that order.\nClue 25: The person who lives in the brown house is somewhere in between the person who likes sandwiches and the person who lives in the silver house in that order.\nClue 26: The person who supports the Lakers is somewhere to the left of the person who owns a Tumi.\nClue 27: Wang is not the person who reads fantasy books.\nClue 28: The person who drives the Suzuki is somewhere in between the person who drinks beer and the person who smokes Camel in that order.\nClue 29: The person who likes soups is somewhere in between the person who likes pizza and the person who lives in the cyan house in that order.\nClue 30: The person who reads fantasy books is the person who supports the Lakers.\nClue 31: The person who reads spiritual books is Nour.\nClue 32: The person who eats kiwis is somewhere in between the person who eats raspberries and the programmer in that order.\nClue 33: The Swede is next to the person who likes dahlias.\nClue 34: The person who likes Topaz is the tennis player.\nClue 35: The person who lives in the orange house is the person who drives the Kia.\nClue 36: The person who likes daisies is not the Swede.\nClue 37: The person who owns a Tory Burch is not the person who supports the Bulls.\nClue 38: The person who likes Diamonds is somewhere in between the person who likes daisies and the person who likes Topaz in that order.\nClue 39: The person who likes Opals is not the person who drives the Ducati.\nClue 40: The person who lives in the silver house is the person who eats grapes.\nClue 41: The person who reads spiritual books is somewhere in between the Malaysian and the person who drinks hot chocolate in that order.\nClue 42: The person who smokes Winston is the Russian.\nClue 43: The person who drives the Kawasaki is Wang.\nClue 44: The person who likes lilies is the person who reads mystery books.\nClue 45: The person who reads humor books is somewhere in between the person who likes Pearls and the person who reads spiritual books in that order.\nClue 46: The person who lives in the red house is the person who drives the McLaren.\nClue 47: The person who owns a Tumi is immediately to the left of the Israeli.\nClue 48: The person who drinks orange juice is somewhere in between the person who drives the Piaggio and the person who drinks hot chocolate in that order.\nClue 49: The person who likes curry is immediately to the left of the artist.\nClue 50: The person who likes Diamonds is immediately to the left of the tennis player.\nClue 51: The Russian is at one of the ends.\nClue 52: The Korean is not the person who likes carnations.\nClue 53: The person who likes dahlias is the person who smokes Blends.\nClue 54: The Israeli is not the volleyball player.\nClue 55: The person who reads mystery books is the Russian.\nClue 56: The person who smokes Salem is somewhere in between the person who supports the Celtics and the person who owns a Polo Ralph Lauren in that order.\nClue 57: The person who likes burgers is the person who drives the BMW.\nClue 58: The cricket player is the person who reads science fiction books.\nClue 59: The person who drives the Kawasaki is not the person who owns a Tumi.\nClue 60: The person who likes begonias is immediately to the left of the Russian.\nClue 61: The volleyball player is not the Russian.\nClue 62: The person who supports the Warriors is the person who drinks hot chocolate.\nClue 63: Jones is next to the Croatian.\nClue 64: The harp player is the person who eats mangoes.\nClue 65: The person who likes begonias is the person who reads spiritual books.\nClue 66: The cricket player is not the person who likes begonias.\nClue 67: The person who drinks milk is not the person who likes Amethysts.\nClue 68: The person who smokes Winston is the Russian.\nClue 69: The person who reads science fiction books is somewhere in between the person who likes carnations and the basketball player in that order.\nClue 70: The Russian is not the person who drives the Buell.\nClue 71: The Swede is next to the person who smokes Blends.\nClue 72: The person who smokes Camel is the person who drinks tea.\nClue 73: The person who supports the Hawks is at one of the ends.\nClue 74: The person who supports the Warriors is the person who smokes Winston.\nClue 75: The Swede is at one of the ends.\nClue 76: The Israeli is somewhere in between the person who drinks tea and the Russian in that order.\nClue 77: The person who reads science fiction books is next to Barbara.\nClue 78: The person who likes Amethysts is somewhere to the left of the person who supports the Bucks.\nClue 79: The person who reads spiritual books is the basketball player.\nClue 80: Barbara is somewhere in between the person who smokes Blends and the person who likes Jade in that order.\nClue 81: The person who drinks milk is not the person who reads science fiction books.\nClue 82: The person who smokes Salem is immediately to the left of the person who drinks tea.\nClue 83: The person who drives the Piaggio is somewhere in between the person who drives the Suzuki and the Russian in that order.\nClue 84: The cricket player is the person who drives the Ducati.\nClue 85: The table tennis player is the person who reads humor books.\nClue 86: The person who likes dahlias is not the person who drives the Suzuki.\nClue 87: The person who drives the Kia is next to the flute player.\nClue 88: The Korean is the person who likes dahlias.\nClue 89: The person who eats kiwis is the teacher.\nClue 90: The person who likes daisies is somewhere to the left of the person who reads mystery books.\nClue 91: Randy is at one of the ends.\nClue 92: The person who eats grapes is somewhere to the left of the dancer.\nClue 93: Wang is the tennis player.\nClue 94: The person who likes Jade is not the person who drives the Ducati.\nClue 95: The cello player is at one of the ends.\nClue 96: The person who eats raspberries is at one of the ends.\nClue 97: The person who smokes Camel is next to the person who likes Pearls.\nClue 98: Wang is at one of the ends.\nClue 99: The person who likes begonias is Nour.\nClue 100: The doctor is immediately to the left of the person who lives in the silver house.\nClue 101: Wang is not the person who supports the Bulls.\nClue 102: The person who likes dahlias is the person who reads science fiction books.\nClue 103: The person who drives the Hyundai is next to the person who drives the McLaren.\nClue 104: The person who likes kebabs is the person who drives the Hyundai.\nClue 105: The person who smokes Winston is at one of the ends.\nClue 106: The person who supports the Bulls is somewhere in between the Croatian and the person who likes lilies in that order.\nClue 107: The person who supports the Bulls is not the tennis player.\nClue 108: The person who drives the Kia is the person who eats raspberries.\nClue 109: The person who likes Topaz is not the person who smokes Newport.\nClue 110: The person who smokes Camel is somewhere in between the person who supports the Lakers and the person who likes Diamonds in that order.\nClue 111: The person who lives in the cyan house is the person who eats apples.\nClue 112: The person who lives in the beige house is immediately to the left of the person who likes soups.\nClue 113: The Croatian is the person who drinks milk.\nClue 114: The person who likes pizza is next to the teacher.\nClue 115: The person who smokes Dunhill is somewhere in between the person who likes roses and the person who likes lilies in that order.\nClue 116: The person who drinks iced tea is not the basketball player.\nClue 117: The person who drives the McLaren is immediately to the left of the artist.\nClue 118: The person who drinks iced tea is next to the person who reads science fiction books.\nClue 119: The person who drives the Hyundai is the person at the 6th position.\nClue 120: The person who drives the Suzuki is not Joseph.\nClue 121: The person who owns a Dolce and Gabbana is not the person who drives the Honda.\nClue 122: The person who likes soups is the person who drives the Audi.\nClue 123: The person who owns a Tumi is not the person who likes dahlias.\nClue 124: The Swede is not the person who drinks tea.\nClue 125: The person who supports the Lakers is the person who drives the Suzuki.\nClue 126: Randy is next to the person who drinks beer.\nClue 127: The person who supports the Bulls is somewhere to the left of the Russian.\nClue 128: The person who supports the Bulls is somewhere in between the person who drinks milk and the person who supports the Warriors in that order.\n\nQuestion: What position is the person who eats kiwis at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:091", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone supports a different NBA team: Bucks, Lakers, Hawks, Knicks, Celtics, Warriors.\nEveryone likes a different fruit: oranges, blueberries, mangoes, kiwis, grapes, raspberries.\nEveryone owns a different handbag brand: Versace, Gucci, Coach, Polo Ralph Lauren, Michael Kors, Dolce and Gabbana.\nEveryone supports a different NFL team: Pittsburgh Steelers, Philadelphia Eagles, Miami Dolphins, Buffalo Bills, Atlanta Falcons, Cincinnati Bengals.\nEveryone smokes a different cigarette: Dunhill, Blends, Newport, Salem, Marlboro, Winston.\nEveryone drives a different motorbike: Piaggio, Buell, Honda, Ducati, Harley-Davidson, Benelli.\nEveryone drinks a different drink: tea, beer, orange juice, lemonade, iced coffee, coffee.\nEveryone likes a different type of gemstone: Amethysts, Rubies, Pearls, Jade, Sapphires, Moonstones.\nEveryone has a different favorite hobby: biking, origami, skiing, parkour, astronomy, cheese making.\nEveryone has a different name: Nour, Jones, Margaret, Joseph, Maven, Mandy.\nEveryone likes a different type of flower: marigolds, carnations, lilies, daffodils, roses, peonies.\nEveryone plays a different musical instrument: cello, flute, violin, saxophone, harp, piano.\nEveryone drives a different car: McLaren, Tesla, BMW, Ferrari, Hyundai, Honda.\nEveryone plays a different sport: ice hockey, cricket, basketball, badminton, table tennis, volleyball.\nEveryone has a different favorite soft drink: Sprite, Dr Pepper, Fanta, Coke, Gatorade, Limca.\nEveryone is a different nationality: German, Japanese, Nepali, Serbian, Italian, Irish.\nEveryone lives in a different colored house: gold, teal, grey, blue, yellow, turquoise.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Buffalo Bills is the person who supports the Warriors.\nClue 2: The person who owns a Gucci is the Irish.\nClue 3: The person who drives the Ferrari is the person who owns a Dolce and Gabbana.\nClue 4: The person who drives the Hyundai is somewhere in between the person who supports the Lakers and the person who drives the Honda in that order.\nClue 5: The person who drives the Hyundai is not the person who eats grapes.\nClue 6: The person who owns a Gucci is not the person who likes parkour.\nClue 7: The person who drives the Piaggio is somewhere in between the person who likes Fanta and the person who drives the Ducati in that order.\nClue 8: The person who likes Dr Pepper is immediately to the left of the person who likes Coke.\nClue 9: The person who likes carnations is somewhere to the left of the person who likes daffodils.\nClue 10: The person who likes origami is at one of the ends.\nClue 11: The person who likes peonies is somewhere to the left of the person who likes astronomy.\nClue 12: The harp player is somewhere to the left of the person who likes astronomy.\nClue 13: The person who lives in the gold house is somewhere to the left of the basketball player.\nClue 14: The person who drinks orange juice is immediately to the left of the person who drinks beer.\nClue 15: The person who supports the Hawks is not the person who likes daffodils.\nClue 16: The person who likes biking is the Irish.\nClue 17: The person who likes origami is immediately to the left of the person who supports the Bucks.\nClue 18: Jones is somewhere in between Margaret and the person who likes Moonstones in that order.\nClue 19: Maven is the person who drives the Buell.\nClue 20: The person who drives the BMW is not the person who eats raspberries.\nClue 21: The person who eats blueberries is somewhere to the left of the person who supports the Buffalo Bills.\nClue 22: The person who owns a Gucci is somewhere in between the person who supports the Miami Dolphins and the basketball player in that order.\nClue 23: The person who likes Amethysts is next to Nour.\nClue 24: The person who supports the Knicks is somewhere to the left of the person who owns a Michael Kors.\nClue 25: The person who supports the Lakers is somewhere to the left of the badminton player.\nClue 26: The violin player is at one of the ends.\nClue 27: The person who drinks orange juice is the person who likes Jade.\nClue 28: The person who supports the Buffalo Bills is not the person who drives the Ferrari.\nClue 29: The person who lives in the blue house is the person who supports the Philadelphia Eagles.\nClue 30: The person who owns a Polo Ralph Lauren is somewhere in between the cricket player and the person who likes daffodils in that order.\nClue 31: The person who drives the BMW is the person who likes astronomy.\nClue 32: The cello player is immediately to the left of the person who drives the BMW.\nClue 33: The person who lives in the teal house is not the person who eats kiwis.\nClue 34: The person who owns a Dolce and Gabbana is not the person who drives the Honda.\nClue 35: The person who likes Sprite is immediately to the left of the person who likes Amethysts.\nClue 36: The person who lives in the turquoise house is immediately to the left of the person who supports the Bucks.\nClue 37: The person who drinks iced coffee is next to the person who likes Coke.\nClue 38: The person who likes roses is not the person who lives in the teal house.\nClue 39: The person who smokes Blends is immediately to the left of the person who smokes Winston.\nClue 40: The person who supports the Pittsburgh Steelers is the person who lives in the turquoise house.\nClue 41: The person who drives the Ducati is next to the person who smokes Winston.\nClue 42: The person who likes Rubies is immediately to the left of the person who drinks iced coffee.\nClue 43: The person who likes Jade is somewhere to the left of the person who likes Sapphires.\nClue 44: The Italian is next to the person who eats oranges.\nClue 45: The person who likes skiing is next to the person who supports the Cincinnati Bengals.\nClue 46: The person who eats grapes is not the Irish.\nClue 47: The person who owns a Gucci is somewhere in between the person who drives the Honda and the person who eats kiwis in that order.\nClue 48: The person who lives in the grey house is the flute player.\nClue 49: The person who lives in the turquoise house is the person who owns a Coach.\nClue 50: The person who smokes Marlboro is at one of the ends.\nClue 51: The person who drinks coffee is the person who smokes Dunhill.\nClue 52: The person who likes peonies is immediately to the left of the person who likes marigolds.\nClue 53: The person who likes astronomy is not the person who lives in the blue house.\nClue 54: The person who lives in the yellow house is not the person who likes lilies.\nClue 55: The person who owns a Polo Ralph Lauren is the person who drives the Hyundai.\nClue 56: The person who smokes Winston is immediately to the left of the person who likes Limca.\nClue 57: The person who owns a Michael Kors is the flute player.\nClue 58: The person who lives in the turquoise house is somewhere to the left of the person who supports the Knicks.\nClue 59: The person who likes Sprite is the person who drinks beer.\nClue 60: The person who likes carnations is somewhere in between the person who supports the Pittsburgh Steelers and the person who lives in the blue house in that order.\nClue 61: The person who owns a Coach is next to the table tennis player.\nClue 62: The person who drives the Hyundai is not the person who likes origami.\nClue 63: The person who owns a Versace is the person who likes skiing.\nClue 64: The cello player is immediately to the left of the person who eats kiwis.\nClue 65: The person who supports the Warriors is the person who owns a Michael Kors.\nClue 66: The person who eats raspberries is somewhere to the left of the German.\nClue 67: The person who likes astronomy is at one of the ends.\nClue 68: The person who lives in the turquoise house is not the Irish.\nClue 69: The person who likes Pearls is the person who drives the Benelli.\nClue 70: The person who likes daffodils is the person who drives the Honda.\nClue 71: The basketball player is the person who likes peonies.\nClue 72: The person who likes origami is the person who supports the Pittsburgh Steelers.\nClue 73: The person who drives the McLaren is the person who supports the Hawks.\nClue 74: The person who likes Dr Pepper is immediately to the left of the person who drives the Honda.\nClue 75: The person who lives in the blue house is the Irish.\nClue 76: The German is somewhere in between the person who eats blueberries and the person who supports the Buffalo Bills in that order.\nClue 77: The person who drinks lemonade is somewhere to the left of the person who drinks tea.\nClue 78: The person who likes Dr Pepper is at one of the ends.\nClue 79: The person who drinks coffee is Joseph.\nClue 80: The person who likes parkour is somewhere in between the Italian and the flute player in that order.\nClue 81: The person who lives in the turquoise house is not the person who likes biking.\nClue 82: The person who likes roses is the person who supports the Lakers.\nClue 83: The person who eats grapes is the person who supports the Atlanta Falcons.\nClue 84: The person who supports the Pittsburgh Steelers is somewhere to the left of the person who eats grapes.\nClue 85: The harp player is the person who supports the Miami Dolphins.\nClue 86: The person who owns a Dolce and Gabbana is somewhere in between the person who supports the Philadelphia Eagles and the person who owns a Michael Kors in that order.\nClue 87: The person who owns a Versace is immediately to the left of the person who likes biking.\nClue 88: The person who lives in the turquoise house is not the person who supports the Celtics.\nClue 89: The person who owns a Coach is not the person who drives the Ferrari.\nClue 90: The person who smokes Newport is next to the person who smokes Blends.\nClue 91: The ice hockey player is not the German.\nClue 92: The person who supports the Buffalo Bills is at one of the ends.\nClue 93: The person who lives in the blue house is the badminton player.\nClue 94: The person who supports the Atlanta Falcons is somewhere to the left of the person who drives the BMW.\nClue 95: The person who drives the Ducati is at one of the ends.\nClue 96: The piano player is somewhere to the left of the person who eats grapes.\nClue 97: The Japanese is somewhere to the left of the person who eats raspberries.\nClue 98: The table tennis player is the piano player.\nClue 99: The person who lives in the turquoise house is not the person who owns a Michael Kors.\nClue 100: The Irish is somewhere in between the person who supports the Miami Dolphins and the person who likes peonies in that order.\nClue 101: The violin player is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 102: The person who drives the Ferrari is somewhere in between the person who owns a Gucci and the Nepali in that order.\nClue 103: The Italian is next to the person who drives the Hyundai.\nClue 104: The person who likes daffodils is somewhere in between the piano player and the person who drives the McLaren in that order.\nClue 105: The harp player is next to the person who lives in the blue house.\nClue 106: The cricket player is the person who lives in the turquoise house.\nClue 107: The basketball player is not the person who supports the Cincinnati Bengals.\nClue 108: The person who eats blueberries is the person who supports the Knicks.\nClue 109: The person who likes peonies is not the saxophone player.\nClue 110: The person who supports the Cincinnati Bengals is somewhere in between the person who owns a Coach and the harp player in that order.\nClue 111: Mandy is immediately to the left of the person who likes Gatorade.\nClue 112: The person who supports the Warriors is at one of the ends.\nClue 113: The person who eats mangoes is somewhere to the left of the ice hockey player.\nClue 114: The basketball player is somewhere in between the person who drives the McLaren and the person who drives the BMW in that order.\nClue 115: The person who drives the Honda is immediately to the left of the person who lives in the blue house.\nClue 116: The table tennis player is somewhere to the left of the person who likes parkour.\nClue 117: The badminton player is immediately to the left of the cello player.\nClue 118: The person who supports the Atlanta Falcons is somewhere to the left of the person who supports the Buffalo Bills.\nClue 119: The person who smokes Blends is somewhere to the left of the person who drives the Ducati.\nClue 120: The flute player is not the basketball player.\nClue 121: The person who drives the McLaren is somewhere to the left of the person who supports the Warriors.\nClue 122: The person who owns a Coach is somewhere to the left of the person who likes peonies.\nClue 123: The person who likes peonies is somewhere to the left of the person who lives in the grey house.\nClue 124: The person who eats grapes is somewhere in between the person who likes lilies and the person who supports the Buffalo Bills in that order.\nClue 125: The person who likes skiing is somewhere in between the table tennis player and the person who lives in the blue house in that order.\nClue 126: The person who drives the BMW is the person who supports the Warriors.\n\nQuestion: What position is Mandy at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:092", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite hobby: camping, skiing, horse riding, origami, video games, language learning, kayaking.\nEveryone plays a different sport: squash, cricket, tennis, volleyball, ice hockey, badminton, table tennis.\nEveryone likes a different physical activity: base jumping, hiking, running, scuba diving, biking, paragliding, skiing.\nEveryone owns a different handbag brand: Dolce and Gabbana, Gucci, Tumi, Polo Ralph Lauren, Kate Spade, Versace, Michael Kors.\nEveryone reads a different genre of books: magical realism, fantasy, history, science fiction, romance, spiritual, mystery.\nEveryone drives a different motorbike: Ducati, Bajaj, Piaggio, Buell, Harley-Davidson, Kawasaki, Honda.\nEveryone drives a different car: Audi, Ferrari, McLaren, Honda, Toyota, Mercedes, Hyundai.\nEveryone plays a different musical instrument: harmonica, piano, drums, cello, saxophone, violin, guitar.\nEveryone supports a different NFL team: Denver Broncos, Detroit Lions, Tennessee Titans, Philadelphia Eagles, Los Angeles Rams, Atlanta Falcons, Chicago Bears.\nEveryone has a different favorite soft drink: Coke, Sprite, Pepsi, Canada Dry, Fanta, Limca, Gatorade.\nEveryone likes a different type of flower: begonias, daffodils, dahlias, tulips, orchids, peonies, marigolds.\nEveryone has a different name: Bob, Michael, Mohsen, Margaret, Tao, Jones, Yair.\nEveryone smokes a different cigarette: Dunhill, Salem, Marlboro, Blends, Davidoff, Pall Mall, Winston.\nEveryone likes a different favorite animal: polar bears, mosquitoes, sun bears, mules, cats, beetles, ravens.\nEveryone likes a different fruit: bananas, raspberries, pears, blackberries, mangoes, apples, grapes.\nEveryone supports a different NBA team: Bulls, Suns, Hawks, Cavaliers, Mavericks, Bucks, Knicks.\nEveryone likes a different food: noodles, soups, sandwiches, pizza, curry, pasta, fried rice.\nEveryone lives in a different colored house: blue, turquoise, teal, grey, indigo, red, beige.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Honda is the person who owns a Polo Ralph Lauren.\nClue 2: The person who likes skiing is the person who supports the Bucks.\nClue 3: The person who likes camping is the person who supports the Knicks.\nClue 4: The person who reads fantasy books is not the person who likes tulips.\nClue 5: The person who owns a Dolce and Gabbana is not the person who likes fried rice.\nClue 6: The person who likes marigolds is not the person who likes hiking.\nClue 7: Michael is somewhere to the left of the person who supports the Knicks.\nClue 8: The person who drives the Harley-Davidson is at one of the ends.\nClue 9: The person who likes daffodils is the person who reads spiritual books.\nClue 10: The person who owns a Gucci is the person who likes running.\nClue 11: The person who supports the Chicago Bears is somewhere in between the person who likes soups and the person who likes scuba diving in that order.\nClue 12: The person who drives the Bajaj is not the person who reads history books.\nClue 13: The person who lives in the blue house is the person who likes Pepsi.\nClue 14: The person who reads fantasy books is the person who likes beetles.\nClue 15: The person who smokes Winston is the person who eats raspberries.\nClue 16: The person who smokes Blends is immediately to the left of the person who drives the Kawasaki.\nClue 17: The person who likes skiing is the person who likes curry.\nClue 18: The person who likes pasta is at one of the ends.\nClue 19: The person who drives the Harley-Davidson is at one of the ends.\nClue 20: The person who likes Coke is the person who lives in the grey house.\nClue 21: The person who eats pears is somewhere in between the person who likes base jumping and the person who eats mangoes in that order.\nClue 22: The person who supports the Atlanta Falcons is the person who likes hiking.\nClue 23: The volleyball player is the person who likes Fanta.\nClue 24: The ice hockey player is somewhere in between the person who likes video games and the person who likes Canada Dry in that order.\nClue 25: The person who likes kayaking is the piano player.\nClue 26: The person who likes origami is immediately to the left of the cello player.\nClue 27: The person who likes base jumping is immediately to the left of the person who owns a Gucci.\nClue 28: The person who supports the Cavaliers is immediately to the left of Yair.\nClue 29: The person who likes Fanta is next to the person who supports the Mavericks.\nClue 30: The person who likes orchids is next to the person who smokes Davidoff.\nClue 31: Margaret is the person who likes origami.\nClue 32: The person who likes base jumping is not the person who likes pasta.\nClue 33: The person who reads fantasy books is not the person who drives the Honda.\nClue 34: The person who drives the Harley-Davidson is at one of the ends.\nClue 35: Jones is the person who lives in the blue house.\nClue 36: The person who smokes Blends is immediately to the left of the person who supports the Atlanta Falcons.\nClue 37: The person who lives in the red house is somewhere in between the person who lives in the turquoise house and the person who supports the Bucks in that order.\nClue 38: The person who owns a Kate Spade is next to the person who likes biking.\nClue 39: The person who smokes Winston is the person who supports the Philadelphia Eagles.\nClue 40: The harmonica player is immediately to the left of the saxophone player.\nClue 41: The drums player is next to the person who lives in the red house.\nClue 42: The person who drives the Hyundai is somewhere in between the person who reads history books and the person who likes orchids in that order.\nClue 43: The person who supports the Denver Broncos is not the person who likes beetles.\nClue 44: The person who eats grapes is the person who likes skiing.\nClue 45: The person who likes skiing is immediately to the left of the person who owns a Michael Kors.\nClue 46: The person who likes curry is somewhere to the left of the person who likes begonias.\nClue 47: The person who likes orchids is somewhere in between the person who likes hiking and the person who eats bananas in that order.\nClue 48: The person who likes language learning is the ice hockey player.\nClue 49: The person who owns a Versace is somewhere in between the person who smokes Pall Mall and the person who likes scuba diving in that order.\nClue 50: The squash player is immediately to the left of the drums player.\nClue 51: The person who likes sun bears is the person who reads spiritual books.\nClue 52: The person who likes curry is not the person who likes cats.\nClue 53: The person who likes Gatorade is Mohsen.\nClue 54: The person who reads mystery books is somewhere in between the person who likes biking and the person who likes mosquitoes in that order.\nClue 55: The person who likes sun bears is somewhere to the left of the person who likes orchids.\nClue 56: The person who eats grapes is somewhere in between the person who likes paragliding and the person who drives the Audi in that order.\nClue 57: Tao is immediately to the left of the person who likes origami.\nClue 58: The person who reads fantasy books is not the person who owns a Michael Kors.\nClue 59: The person who drives the Bajaj is somewhere in between the person who likes fried rice and the person who likes orchids in that order.\nClue 60: The person who owns a Polo Ralph Lauren is the person who eats apples.\nClue 61: The person who eats bananas is at one of the ends.\nClue 62: The person who likes marigolds is next to the person who drives the McLaren.\nClue 63: The person who owns a Versace is the person who supports the Chicago Bears.\nClue 64: The table tennis player is Bob.\nClue 65: The person who supports the Bulls is the person who likes Sprite.\nClue 66: The person who likes mosquitoes is the person who owns a Michael Kors.\nClue 67: The person who supports the Bulls is immediately to the left of the harmonica player.\nClue 68: The person who likes polar bears is somewhere to the left of the person who supports the Atlanta Falcons.\nClue 69: The person who drives the Hyundai is not the person who eats pears.\nClue 70: The person who supports the Detroit Lions is not the person who likes daffodils.\nClue 71: The person who likes dahlias is somewhere in between the person who likes fried rice and the person who eats bananas in that order.\nClue 72: The person who smokes Marlboro is not the person who likes cats.\nClue 73: The person who owns a Tumi is at one of the ends.\nClue 74: The person who likes noodles is the person who smokes Pall Mall.\nClue 75: The person who likes horse riding is at one of the ends.\nClue 76: The person who likes Fanta is immediately to the left of the person who lives in the indigo house.\nClue 77: The person who likes dahlias is somewhere in between the person who smokes Salem and the person who eats grapes in that order.\nClue 78: The person who reads magical realism books is the person who likes mosquitoes.\nClue 79: The person who eats bananas is at one of the ends.\nClue 80: The person who drives the Kawasaki is the person who likes daffodils.\nClue 81: The person who likes pizza is somewhere to the left of the person who drives the Harley-Davidson.\nClue 82: The person who smokes Salem is somewhere in between the person who likes base jumping and the person who smokes Pall Mall in that order.\nClue 83: The tennis player is immediately to the left of the person who likes camping.\nClue 84: The person who owns a Versace is somewhere in between the person who supports the Atlanta Falcons and the person who likes scuba diving in that order.\nClue 85: The person who drives the McLaren is not the person who supports the Atlanta Falcons.\nClue 86: The person who likes pizza is the person who likes polar bears.\nClue 87: The person who likes peonies is not the person who likes polar bears.\nClue 88: The person who likes beetles is the person who supports the Philadelphia Eagles.\nClue 89: The person who likes cats is the person who reads history books.\nClue 90: The person who owns a Kate Spade is next to the person who owns a Polo Ralph Lauren.\nClue 91: The person who drives the Mercedes is the person who likes peonies.\nClue 92: The person who supports the Los Angeles Rams is the person who drives the Buell.\nClue 93: The person who drives the McLaren is not the person who smokes Pall Mall.\nClue 94: The person who smokes Salem is not the person who drives the Bajaj.\nClue 95: The person who lives in the beige house is the guitar player.\nClue 96: The person who likes sun bears is not the person who likes dahlias.\nClue 97: The drums player is Jones.\nClue 98: The person who lives in the teal house is the table tennis player.\nClue 99: The person who supports the Tennessee Titans is the person who eats apples.\nClue 100: Tao is at one of the ends.\nClue 101: The person who eats blackberries is the person who drives the Buell.\nClue 102: The person who likes base jumping is the person who likes fried rice.\nClue 103: The person who likes biking is the person who likes ravens.\nClue 104: The person who drives the Buell is not the person who likes hiking.\nClue 105: The cricket player is the drums player.\nClue 106: The person who likes Coke is next to the person who supports the Suns.\nClue 107: The person who likes Fanta is next to the cello player.\nClue 108: The person who drives the Hyundai is the person who drives the Kawasaki.\nClue 109: The person who drives the Bajaj is somewhere to the left of the person who reads magical realism books.\nClue 110: The person who reads spiritual books is not the person who likes noodles.\nClue 111: The person who eats mangoes is the person who drives the Kawasaki.\nClue 112: The person who smokes Blends is somewhere in between the person who reads history books and the person who drives the Hyundai in that order.\nClue 113: The person who likes orchids is somewhere in between the person who owns a Dolce and Gabbana and the person who likes mosquitoes in that order.\nClue 114: The person who likes hiking is not the person who smokes Winston.\nClue 115: The person who supports the Philadelphia Eagles is not the person who smokes Marlboro.\nClue 116: The person who drives the Kawasaki is immediately to the left of the person who likes orchids.\nClue 117: The person who owns a Dolce and Gabbana is somewhere to the left of the person who reads magical realism books.\nClue 118: The person who likes orchids is not the person who likes soups.\nClue 119: The person who supports the Atlanta Falcons is somewhere in between the person who eats apples and the person who reads magical realism books in that order.\nClue 120: The person who likes begonias is next to the person who reads science fiction books.\nClue 121: The drums player is at one of the ends.\nClue 122: The person who owns a Polo Ralph Lauren is the person who smokes Pall Mall.\nClue 123: The person who likes ravens is somewhere in between the person who reads history books and the person who eats grapes in that order.\nClue 124: The person who likes curry is next to the person who likes scuba diving.\nClue 125: The person who reads mystery books is next to the person who supports the Atlanta Falcons.\nClue 126: The person who drives the Ducati is somewhere in between the person who drives the McLaren and the person who owns a Kate Spade in that order.\nClue 127: The person who owns a Kate Spade is next to the person who smokes Dunhill.\nClue 128: The person who supports the Hawks is immediately to the left of Jones.\nClue 129: The person who likes fried rice is at one of the ends.\nClue 130: The person who likes sun bears is immediately to the left of the person who likes orchids.\nClue 131: The person who drives the Mercedes is somewhere to the left of the person who owns a Polo Ralph Lauren.\nClue 132: The person who likes kayaking is next to the person who lives in the blue house.\nClue 133: The person who reads magical realism books is not the person who eats apples.\nClue 134: The person who likes mules is somewhere in between the person who drives the Kawasaki and the person who supports the Detroit Lions in that order.\nClue 135: The person who smokes Salem is not the person who supports the Denver Broncos.\nClue 136: The person who eats bananas is at one of the ends.\nClue 137: The squash player is Yair.\n\nQuestion: What position is the cello player at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:093", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone supports a different NFL team: Baltimore Ravens, Chicago Bears, San Francisco 49ers, Green Bay Packers, Philadelphia Eagles, Detroit Lions, Tennessee Titans.\nEveryone likes a different type of flower: roses, carnations, marigolds, tulips, dahlias, daisies, begonias.\nEveryone likes a different physical activity: biking, bungee jumping, running, weight lifting, paragliding, snorkeling, base jumping.\nEveryone drives a different car: McLaren, Lexus, BMW, Toyota, Kia, Honda, Mercedes.\nEveryone lives in a different colored house: blue, purple, white, orange, brown, gold, indigo.\nEveryone reads a different genre of books: romance, fantasy, magical realism, spiritual, humor, science fiction, history.\nEveryone likes a different food: tacos, curry, fried rice, burgers, noodles, soups, sandwiches.\nEveryone smokes a different cigarette: Winston, Marlboro, Blue Master, Salem, Pall Mall, Blends, Camel.\nEveryone plays a different musical instrument: saxophone, cello, violin, harp, piano, oboe, harmonica.\nEveryone has a different favorite soft drink: Limca, Pepsi, Dr Pepper, Mirinda, Mountain Dew, Sprite, Fanta.\nEveryone likes a different fruit: raspberries, oranges, mangoes, pears, kiwis, blueberries, strawberries.\nEveryone likes a different favorite animal: octopuses, worms, crows, salmon, meerkats, sheep, zanders.\nEveryone supports a different NBA team: Lakers, Bucks, Suns, Celtics, Bulls, Knicks, Hawks.\nEveryone has a different favorite hobby: metal detecting, wood carving, archery, canoeing, bird watching, baking, crocheting.\nEveryone likes a different type of gemstone: Ambers, Rubies, Emeralds, Corals, Aquamarines, Topaz, Amethysts.\nEveryone is a different nationality: German, Italian, Iranian, American, Japanese, Pakistani, Australian.\nEveryone owns a different handbag brand: Kate Spade, Michael Kors, Versace, Polo Ralph Lauren, Balenciaga, Dolce and Gabbana, Gucci.\nEveryone has a different profession: teacher, athlete, designer, programmer, chef, architect, spy.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes Mountain Dew is next to the person who likes meerkats.\nClue 2: The person who supports the Bulls is next to the person who likes curry.\nClue 3: The person who drives the Mercedes is the person who lives in the brown house.\nClue 4: The person who likes dahlias is somewhere to the left of the person who likes tulips.\nClue 5: The saxophone player is somewhere to the left of the person who supports the Hawks.\nClue 6: The person who likes Dr Pepper is at one of the ends.\nClue 7: The athlete is the person who eats strawberries.\nClue 8: The person who likes zanders is somewhere in between the person who supports the Bulls and the person who smokes Camel in that order.\nClue 9: The person who reads romance books is the person who eats blueberries.\nClue 10: The American is immediately to the left of the person who supports the Baltimore Ravens.\nClue 11: The person who smokes Camel is next to the person who likes Rubies.\nClue 12: The person who likes begonias is not the person who likes bird watching.\nClue 13: The person who eats mangoes is somewhere in between the person who eats raspberries and the person who reads romance books in that order.\nClue 14: The person who likes bird watching is immediately to the left of the person who supports the Tennessee Titans.\nClue 15: The person who supports the Bulls is the person who likes crows.\nClue 16: The person who reads spiritual books is next to the person who reads fantasy books.\nClue 17: The harmonica player is the person who likes Emeralds.\nClue 18: The person who supports the Celtics is somewhere in between the person who likes octopuses and the person who likes Limca in that order.\nClue 19: The Iranian is at one of the ends.\nClue 20: The person who likes base jumping is the person who lives in the indigo house.\nClue 21: The person who likes biking is next to the person who likes bungee jumping.\nClue 22: The person who likes burgers is somewhere in between the person who supports the Suns and the person who likes tacos in that order.\nClue 23: The person who likes crocheting is next to the person who likes sandwiches.\nClue 24: The person who likes Mirinda is somewhere in between the person who smokes Pall Mall and the American in that order.\nClue 25: The person who likes Ambers is next to the person who likes wood carving.\nClue 26: The Italian is somewhere in between the person who likes dahlias and the person who likes soups in that order.\nClue 27: The person who drives the BMW is at one of the ends.\nClue 28: The Iranian is the person who smokes Marlboro.\nClue 29: The person who likes roses is not the person who likes baking.\nClue 30: The person who likes weight lifting is at one of the ends.\nClue 31: The person who likes daisies is somewhere in between the person who supports the Tennessee Titans and the person who likes Topaz in that order.\nClue 32: The person who supports the Knicks is the person who likes noodles.\nClue 33: The designer is immediately to the left of the person at the 6th position.\nClue 34: The person who likes marigolds is the person who likes canoeing.\nClue 35: The person who likes Sprite is not the saxophone player.\nClue 36: The person who smokes Blue Master is the person who supports the Lakers.\nClue 37: The harp player is the person who likes Fanta.\nClue 38: The person who lives in the orange house is next to the person who drives the Kia.\nClue 39: The saxophone player is somewhere in between the person who supports the Bulls and the person who supports the Bucks in that order.\nClue 40: The person who likes snorkeling is the programmer.\nClue 41: The Italian is the person who likes meerkats.\nClue 42: The person who likes fried rice is at one of the ends.\nClue 43: The person who reads fantasy books is the architect.\nClue 44: The Australian is not the person who likes worms.\nClue 45: The person who likes Ambers is next to the harp player.\nClue 46: The person who supports the Detroit Lions is immediately to the left of the Pakistani.\nClue 47: The person who lives in the gold house is next to the person who drives the McLaren.\nClue 48: The Australian is not the person who likes sandwiches.\nClue 49: The person who likes Fanta is not the person who smokes Blue Master.\nClue 50: The person who supports the Chicago Bears is not the person who supports the Celtics.\nClue 51: The chef is somewhere in between the person who drives the Toyota and the teacher in that order.\nClue 52: The person who smokes Pall Mall is somewhere to the left of the oboe player.\nClue 53: The American is the person who likes Sprite.\nClue 54: The person who likes bird watching is the person who likes Dr Pepper.\nClue 55: The person who likes tulips is immediately to the left of the person who likes canoeing.\nClue 56: The person who reads spiritual books is immediately to the left of the person who likes bungee jumping.\nClue 57: The person who drives the McLaren is the chef.\nClue 58: The person who drives the McLaren is the person who owns a Kate Spade.\nClue 59: The person who likes roses is not the person who likes sheep.\nClue 60: The person who lives in the white house is immediately to the left of the person who eats oranges.\nClue 61: The Japanese is at one of the ends.\nClue 62: The person who supports the Suns is at one of the ends.\nClue 63: The person who supports the Green Bay Packers is next to the person who supports the Celtics.\nClue 64: The person who likes bird watching is at one of the ends.\nClue 65: The person who likes begonias is not the person who supports the Philadelphia Eagles.\nClue 66: The person who likes dahlias is the harmonica player.\nClue 67: The person who likes Mountain Dew is the cello player.\nClue 68: The harmonica player is not the person who likes carnations.\nClue 69: The piano player is the person who supports the Suns.\nClue 70: The person who lives in the indigo house is at one of the ends.\nClue 71: The oboe player is somewhere in between the person who smokes Blends and the person who supports the Lakers in that order.\nClue 72: The person who likes Emeralds is somewhere to the left of the person who supports the San Francisco 49ers.\nClue 73: The Australian is not the person who likes roses.\nClue 74: The person who likes running is the person who owns a Dolce and Gabbana.\nClue 75: The person who likes tulips is not the person who likes Aquamarines.\nClue 76: The person who likes Pepsi is the person who likes baking.\nClue 77: The person who likes carnations is immediately to the left of the German.\nClue 78: The designer is immediately to the left of the person who owns a Gucci.\nClue 79: The person who supports the Philadelphia Eagles is somewhere to the left of the person who likes Rubies.\nClue 80: The person who likes Ambers is at one of the ends.\nClue 81: The person who smokes Blue Master is next to the person who likes Pepsi.\nClue 82: The person who supports the Philadelphia Eagles is somewhere in between the person who likes curry and the person who likes sandwiches in that order.\nClue 83: The person who likes fried rice is at one of the ends.\nClue 84: The person who reads science fiction books is at one of the ends.\nClue 85: The person who likes salmon is the person who likes tacos.\nClue 86: The person who smokes Camel is next to the person who likes sandwiches.\nClue 87: The person who reads spiritual books is somewhere in between the person who lives in the blue house and the person who eats oranges in that order.\nClue 88: The person who likes crocheting is next to the person who likes Rubies.\nClue 89: The person who smokes Winston is somewhere to the left of the person who likes curry.\nClue 90: The person who reads history books is next to the person who drives the Lexus.\nClue 91: The person who drives the Honda is the person who reads magical realism books.\nClue 92: The person who likes roses is next to the person who likes fried rice.\nClue 93: The Australian is next to the person who supports the Green Bay Packers.\nClue 94: The person who likes begonias is not the person who supports the Bucks.\nClue 95: The person who drives the Kia is immediately to the left of the person who owns a Versace.\nClue 96: The person who likes archery is somewhere to the left of the person who supports the Hawks.\nClue 97: The person who likes Mirinda is somewhere to the left of the person who likes tacos.\nClue 98: The person who likes tacos is somewhere in between the person who likes curry and the person who likes Limca in that order.\nClue 99: The person who likes soups is at one of the ends.\nClue 100: The person who eats raspberries is the person who likes running.\nClue 101: The person who likes Aquamarines is immediately to the left of the person who likes burgers.\nClue 102: The person who supports the Celtics is immediately to the left of the person who smokes Salem.\nClue 103: The person who smokes Pall Mall is somewhere in between the person who supports the Suns and the person who likes Amethysts in that order.\nClue 104: The person who eats pears is next to the person who eats strawberries.\nClue 105: The person who smokes Marlboro is the cello player.\nClue 106: The harp player is somewhere to the left of the person who likes worms.\nClue 107: The person who likes canoeing is next to the person who likes Rubies.\nClue 108: The person who eats blueberries is the person who owns a Balenciaga.\nClue 109: The person who drives the Toyota is the person who lives in the blue house.\nClue 110: The person who owns a Michael Kors is at one of the ends.\nClue 111: The person who supports the Bucks is the person who likes tulips.\nClue 112: The person who smokes Marlboro is at one of the ends.\nClue 113: The person who supports the Celtics is next to the Italian.\nClue 114: The person who reads history books is the person who owns a Dolce and Gabbana.\nClue 115: The person who likes begonias is somewhere in between the person who supports the Bulls and the person who likes Emeralds in that order.\nClue 116: The person who likes Pepsi is somewhere in between the person who supports the Tennessee Titans and the person who likes Emeralds in that order.\nClue 117: The person who likes tacos is not the person who supports the San Francisco 49ers.\nClue 118: The person who owns a Kate Spade is next to the person who likes weight lifting.\nClue 119: The person who likes octopuses is the person who likes Fanta.\nClue 120: The architect is next to the person who drives the Honda.\nClue 121: The Iranian is not the person who likes Fanta.\nClue 122: The person who likes bird watching is at one of the ends.\nClue 123: The person who likes Limca is the Italian.\nClue 124: The person who likes zanders is somewhere in between the person who likes crows and the person who likes Emeralds in that order.\nClue 125: The architect is immediately to the left of the person at the 4th position.\nClue 126: The person who likes Amethysts is somewhere to the left of the person who supports the Lakers.\nClue 127: The person who likes Pepsi is next to the person who likes metal detecting.\nClue 128: The spy is next to the person who likes base jumping.\nClue 129: The Australian is somewhere to the left of the person who likes Mirinda.\nClue 130: The person who likes Limca is somewhere in between the person who likes Sprite and the person who likes soups in that order.\nClue 131: The person who supports the San Francisco 49ers is not the Pakistani.\nClue 132: The person who likes archery is not the person who likes curry.\nClue 133: The person who likes Sprite is somewhere in between the person who smokes Blends and the Italian in that order.\nClue 134: The person who supports the Tennessee Titans is not the person who likes dahlias.\nClue 135: The Italian is somewhere in between the person who likes Fanta and the cello player in that order.\nClue 136: The person who likes bird watching is not the person who likes zanders.\nClue 137: The person who likes crows is not the person who likes begonias.\n\nQuestion: What position is the person who reads history books at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:095", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite hobby: coin collecting, skiing, astronomy, bird watching, archery, painting, beekeeping.\nEveryone likes a different type of gemstone: Dolomites, Diamonds, Gypsum, Pearls, Opals, Ambers, Jade.\nEveryone reads a different genre of books: short story, spiritual, fantasy, romance, mystery, history, humor.\nEveryone likes a different type of flower: begonias, daffodils, lilies, orchids, roses, peonies, tulips.\nEveryone likes a different favorite animal: finches, spiders, dugongs, pelikans, llamas, worms, aardvarks.\nEveryone likes a different physical activity: running, hiking, paragliding, scuba diving, biking, base jumping, swimming.\nEveryone drinks a different drink: iced tea, hot chocolate, tea, iced coffee, lemonade, coffee, beer.\nEveryone has a different name: Michael, Ahmed, Margaret, Mandy, Doug, Yair, Maven.\nEveryone supports a different NBA team: Cavaliers, Lakers, Warriors, Hawks, Celtics, Bulls, Suns.\nEveryone drives a different motorbike: Yamaha, Bajaj, Kawasaki, Suzuki, Ducati, Piaggio, Honda.\nEveryone lives in a different colored house: purple, beige, magenta, violet, orange, cyan, teal.\nEveryone smokes a different cigarette: Blends, Dunhill, Marlboro, Winston, Pall Mall, Salem, Camel.\nEveryone has a different profession: dancer, architect, designer, teacher, artist, doctor, writer.\nEveryone likes a different fruit: apples, mangoes, raspberries, blackberries, oranges, pears, bananas.\nEveryone drives a different car: Mercedes, Audi, Toyota, Kia, McLaren, Tesla, Honda.\nEveryone plays a different musical instrument: harmonica, flute, violin, harp, cello, oboe, drums.\nEveryone likes a different food: burgers, fried rice, kebabs, soups, tacos, pasta, sandwiches.\nEveryone owns a different handbag brand: Tumi, Balenciaga, Gucci, Versace, Michael Kors, Tory Burch, Coach.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The drums player is the person who likes Ambers.\nClue 2: The person who likes soups is not the person who likes spiders.\nClue 3: The person who likes finches is at one of the ends.\nClue 4: The person who drives the Kawasaki is next to the person who drives the Bajaj.\nClue 5: The person who likes daffodils is next to the person who owns a Balenciaga.\nClue 6: The person who likes base jumping is the person who eats apples.\nClue 7: The harmonica player is immediately to the left of the person who likes Diamonds.\nClue 8: The person who eats oranges is somewhere in between the person who likes painting and the person who drinks iced tea in that order.\nClue 9: The person who supports the Lakers is immediately to the left of the designer.\nClue 10: The person who drinks coffee is next to Maven.\nClue 11: The person who likes finches is somewhere to the left of the person who eats raspberries.\nClue 12: The person who drives the Kia is somewhere in between the person who eats apples and the person who likes llamas in that order.\nClue 13: The person who reads history books is somewhere to the left of the person who reads short story books.\nClue 14: The person who reads fantasy books is not the person who smokes Dunhill.\nClue 15: The person who reads short story books is not the person who smokes Dunhill.\nClue 16: The person who likes spiders is the person who drives the Kia.\nClue 17: The person who likes spiders is immediately to the left of the person who likes aardvarks.\nClue 18: The person who likes scuba diving is next to the person who smokes Winston.\nClue 19: The person who eats oranges is somewhere to the left of the person who drives the Yamaha.\nClue 20: The person who drives the Toyota is somewhere in between the person who eats mangoes and the person who likes dugongs in that order.\nClue 21: The person who likes Dolomites is the flute player.\nClue 22: The person who likes coin collecting is the person who likes spiders.\nClue 23: The person who drives the Ducati is at one of the ends.\nClue 24: The person who likes bird watching is not the person who smokes Marlboro.\nClue 25: The person who likes Ambers is next to the person who lives in the orange house.\nClue 26: The person who smokes Salem is not the person who eats pears.\nClue 27: The person who smokes Salem is somewhere in between the person who likes sandwiches and the person who smokes Marlboro in that order.\nClue 28: The person who drinks beer is somewhere in between the person who eats raspberries and the person who smokes Marlboro in that order.\nClue 29: The person who reads humor books is the person who likes archery.\nClue 30: The person who likes tacos is somewhere in between the person who smokes Camel and the person who smokes Dunhill in that order.\nClue 31: The person who likes Pearls is somewhere to the left of the person who supports the Cavaliers.\nClue 32: The person who likes skiing is not the person who smokes Blends.\nClue 33: Margaret is somewhere to the left of the person who eats pears.\nClue 34: The person who smokes Salem is next to the person who likes skiing.\nClue 35: The person who likes dugongs is not the person who drives the Toyota.\nClue 36: The person who reads humor books is somewhere in between the person who likes biking and Doug in that order.\nClue 37: The person who eats mangoes is the person who likes paragliding.\nClue 38: The person who reads history books is not Michael.\nClue 39: The person who owns a Tumi is immediately to the left of the person who supports the Bulls.\nClue 40: The person who likes llamas is not the person who drives the Honda.\nClue 41: The person who drives the Mercedes is somewhere in between Yair and the person who drives the Ducati in that order.\nClue 42: The person who drinks beer is next to the person who likes tacos.\nClue 43: The person who owns a Versace is immediately to the left of the person who likes peonies.\nClue 44: The person who reads humor books is the person who likes fried rice.\nClue 45: The person who drives the Audi is at one of the ends.\nClue 46: The person who likes orchids is at one of the ends.\nClue 47: The person who likes Pearls is immediately to the left of the person who likes begonias.\nClue 48: The person who reads spiritual books is next to the person who likes finches.\nClue 49: The person who smokes Blends is at one of the ends.\nClue 50: The person who likes Pearls is next to the person who likes daffodils.\nClue 51: The oboe player is somewhere in between the person who likes tulips and the person who likes Ambers in that order.\nClue 52: The person who likes scuba diving is at one of the ends.\nClue 53: The person who likes burgers is immediately to the left of the person who drinks coffee.\nClue 54: The person who lives in the violet house is immediately to the left of the person who owns a Michael Kors.\nClue 55: The person who eats oranges is somewhere to the left of the person who drinks iced coffee.\nClue 56: The person who likes sandwiches is somewhere in between the person who likes bird watching and the person who eats pears in that order.\nClue 57: The person who drives the Honda is immediately to the left of the person who drives the Yamaha.\nClue 58: The person who reads humor books is somewhere in between the person who likes sandwiches and the person who likes skiing in that order.\nClue 59: The person who likes tacos is next to the person who likes astronomy.\nClue 60: The person who reads humor books is somewhere in between the person who drinks beer and the person who likes pasta in that order.\nClue 61: The person who likes hiking is not the person who likes soups.\nClue 62: The person who eats pears is the person who reads short story books.\nClue 63: The architect is at one of the ends.\nClue 64: Doug is the person who drives the Ducati.\nClue 65: The harp player is next to the person who likes tulips.\nClue 66: The person who smokes Blends is not the person who drinks coffee.\nClue 67: The harp player is the person who likes Opals.\nClue 68: The person who likes archery is immediately to the left of Michael.\nClue 69: The violin player is at one of the ends.\nClue 70: Maven is the person who eats mangoes.\nClue 71: The person who likes hiking is somewhere in between the person who drives the Mercedes and the person who likes beekeeping in that order.\nClue 72: The person who reads short story books is not the person who likes aardvarks.\nClue 73: The person who likes Pearls is the artist.\nClue 74: The writer is immediately to the left of the person who lives in the beige house.\nClue 75: Doug is the person who likes beekeeping.\nClue 76: The person who reads mystery books is immediately to the left of the person who drives the Bajaj.\nClue 77: The person who drinks coffee is somewhere to the left of the person who drives the Yamaha.\nClue 78: The person who likes fried rice is not the person who likes worms.\nClue 79: The person who drives the Tesla is at one of the ends.\nClue 80: The person who likes tulips is immediately to the left of the person who supports the Warriors.\nClue 81: The person who drives the Ducati is next to the person who reads short story books.\nClue 82: The person who drives the Audi is immediately to the left of the person who drives the Bajaj.\nClue 83: The person who drives the Yamaha is somewhere in between the person who reads romance books and Michael in that order.\nClue 84: The person who reads history books is the person who likes coin collecting.\nClue 85: The person who drinks lemonade is somewhere in between the person who drives the Toyota and the person who drives the Honda in that order.\nClue 86: The person who drives the Mercedes is immediately to the left of the person who eats pears.\nClue 87: The person who supports the Suns is immediately to the left of the person who likes Pearls.\nClue 88: The person who likes Jade is at one of the ends.\nClue 89: The person who drives the Suzuki is next to the person who drives the Ducati.\nClue 90: The person who drinks hot chocolate is somewhere in between the person who drinks beer and the person who reads fantasy books in that order.\nClue 91: The person who eats raspberries is somewhere in between the person who drives the Bajaj and the person who likes hiking in that order.\nClue 92: Yair is the person who likes coin collecting.\nClue 93: The person who owns a Versace is the flute player.\nClue 94: Yair is the person who smokes Dunhill.\nClue 95: The person who likes painting is at one of the ends.\nClue 96: The person who drinks lemonade is next to the person who eats oranges.\nClue 97: The person who likes Jade is next to the dancer.\nClue 98: The person who owns a Michael Kors is immediately to the left of the person at the 5th position.\nClue 99: The person who likes swimming is not Mandy.\nClue 100: The person who eats bananas is the person who likes kebabs.\nClue 101: The person who eats mangoes is next to the person who drinks coffee.\nClue 102: The person who likes pasta is not the person who drives the Tesla.\nClue 103: The person who supports the Warriors is somewhere to the left of the person who supports the Lakers.\nClue 104: The person who likes pelikans is immediately to the left of the person who drinks beer.\nClue 105: The person who reads romance books is somewhere in between the person who likes base jumping and the person who smokes Dunhill in that order.\nClue 106: Michael is immediately to the left of the person who eats bananas.\nClue 107: The violin player is the person who lives in the magenta house.\nClue 108: The person who likes Pearls is the person who lives in the cyan house.\nClue 109: The person who likes archery is the person who drinks iced tea.\nClue 110: The person who drinks lemonade is the person who likes bird watching.\nClue 111: The person who supports the Cavaliers is immediately to the left of the doctor.\nClue 112: The person who likes beekeeping is at one of the ends.\nClue 113: The person who drinks tea is somewhere to the left of the person who drinks beer.\nClue 114: The person who supports the Warriors is immediately to the left of the drums player.\nClue 115: The person who supports the Hawks is the person who lives in the violet house.\nClue 116: The person who smokes Blends is at one of the ends.\nClue 117: The person who likes Ambers is the person who likes roses.\nClue 118: The flute player is immediately to the left of the person who likes Pearls.\nClue 119: The person who reads romance books is somewhere to the left of the person who drinks beer.\nClue 120: The person who reads short story books is somewhere in between the person who drives the Mercedes and the person who reads fantasy books in that order.\nClue 121: The person who lives in the beige house is somewhere to the left of the person who supports the Lakers.\nClue 122: The person who likes beekeeping is at one of the ends.\nClue 123: The person who drinks iced tea is not the person who likes hiking.\nClue 124: The person who reads fantasy books is at one of the ends.\nClue 125: The artist is immediately to the left of the person who owns a Gucci.\nClue 126: The person who drinks lemonade is somewhere in between the person who likes soups and the person who eats pears in that order.\nClue 127: The person who drives the Tesla is the person who reads fantasy books.\nClue 128: The artist is immediately to the left of the person who lives in the violet house.\nClue 129: The person who eats oranges is not the person who drives the Tesla.\nClue 130: The person who reads mystery books is the person who likes finches.\nClue 131: The person who eats raspberries is somewhere in between Maven and the person who likes coin collecting in that order.\nClue 132: Margaret is next to the person who likes hiking.\nClue 133: The person who likes pelikans is the person who reads romance books.\nClue 134: The person who likes roses is somewhere in between the person who likes Diamonds and the person who owns a Tory Burch in that order.\nClue 135: The person who drinks hot chocolate is somewhere to the left of the person who smokes Marlboro.\nClue 136: The person who drinks coffee is somewhere to the left of the person who drinks iced tea.\nClue 137: The person who owns a Tumi is the person who likes Ambers.\nClue 138: The person who lives in the purple house is at one of the ends.\nClue 139: Ahmed is somewhere to the left of the person who eats raspberries.\nClue 140: The person who eats blackberries is next to the person who drives the Kia.\n\nQuestion: What position is the artist at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:096", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone smokes a different cigarette: Blends, Newport, Salem, Pall Mall, Marlboro, Camel, Dunhill.\nEveryone likes a different physical activity: skiing, base jumping, running, swimming, snorkeling, paragliding, bungee jumping.\nEveryone likes a different type of gemstone: Moonstones, Ambers, Amethysts, Gypsum, Obsidians, Topaz, Dolomites.\nEveryone drives a different car: Mercedes, Ferrari, BMW, Tesla, McLaren, Ford, Kia.\nEveryone has a different profession: dancer, programmer, singer, doctor, architect, teacher, writer.\nEveryone is a different nationality: Turkish, Pakistani, Portuguese, Spanish, Iranian, Swiss, German.\nEveryone supports a different NFL team: Green Bay Packers, Cincinnati Bengals, Detroit Lions, Atlanta Falcons, Miami Dolphins, Arizona Cardinals, Buffalo Bills.\nEveryone has a different name: Doug, Siva, Karan, Alex, Mandy, Charlie, Tao.\nEveryone plays a different sport: volleyball, baseball, table tennis, basketball, badminton, tennis, soccer.\nEveryone has a different favorite soft drink: Gatorade, Coke, Mountain Dew, Fanta, Powerade, Pepsi, Limca.\nEveryone drinks a different drink: milk, lemonade, iced coffee, tea, beer, orange juice, hot chocolate.\nEveryone has a different favorite hobby: painting, horse riding, gardening, cheese making, cooking, dancing, drone flying.\nEveryone owns a different handbag brand: Tumi, Dolce and Gabbana, Versace, Tory Burch, Coach, Balenciaga, Polo Ralph Lauren.\nEveryone supports a different NBA team: Bulls, Cavaliers, Hawks, Suns, Lakers, Mavericks, Knicks.\nEveryone reads a different genre of books: spiritual, mystery, short story, magical realism, fantasy, humor, history.\nEveryone likes a different type of flower: roses, daisies, dahlias, daffodils, carnations, peonies, marigolds.\nEveryone drives a different motorbike: Yamaha, Suzuki, Ducati, Harley-Davidson, Buell, Honda, Benelli.\nEveryone plays a different musical instrument: harmonica, drums, cello, piano, flute, harp, saxophone.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: Tao is next to the person who drives the Suzuki.\nClue 2: The person who drives the Suzuki is not the person who supports the Lakers.\nClue 3: Charlie is somewhere to the left of the person who drinks hot chocolate.\nClue 4: The person who likes marigolds is next to the basketball player.\nClue 5: The teacher is immediately to the left of the person who drives the Ford.\nClue 6: The person who drinks lemonade is next to the cello player.\nClue 7: The person who owns a Tumi is the saxophone player.\nClue 8: The badminton player is at one of the ends.\nClue 9: The person who supports the Knicks is the teacher.\nClue 10: Charlie is somewhere to the left of the person who likes cooking.\nClue 11: The person who likes dahlias is next to the person who likes bungee jumping.\nClue 12: The person who drives the Benelli is not the person who drives the Kia.\nClue 13: The Pakistani is the person who drinks tea.\nClue 14: The person who smokes Newport is the person who reads humor books.\nClue 15: The person who drives the BMW is at one of the ends.\nClue 16: The harmonica player is the person who drives the Ferrari.\nClue 17: Karan is somewhere to the left of the flute player.\nClue 18: The person who drives the Kia is immediately to the left of the harmonica player.\nClue 19: The person who likes horse riding is not the architect.\nClue 20: The person who drinks orange juice is not the person who owns a Tumi.\nClue 21: The person who drinks lemonade is somewhere in between Siva and the person who owns a Versace in that order.\nClue 22: Siva is not the person who likes drone flying.\nClue 23: The Iranian is not the person who likes Pepsi.\nClue 24: The person who drives the Tesla is not the person who likes cheese making.\nClue 25: The person who owns a Tory Burch is not the person who supports the Suns.\nClue 26: The person who likes running is immediately to the left of the person who likes base jumping.\nClue 27: The person who likes Dolomites is the person who likes daffodils.\nClue 28: The person who supports the Miami Dolphins is the badminton player.\nClue 29: The person who drinks beer is not the teacher.\nClue 30: The flute player is next to the harp player.\nClue 31: The person who likes Obsidians is the person at the 2nd position.\nClue 32: The person who supports the Detroit Lions is next to the person who likes daisies.\nClue 33: The person who likes cheese making is somewhere in between the person who supports the Knicks and Charlie in that order.\nClue 34: The person who drives the Kia is next to the person who owns a Tory Burch.\nClue 35: The person who owns a Tory Burch is immediately to the left of the person who drives the Yamaha.\nClue 36: The person who drives the Harley-Davidson is somewhere in between the person who likes Powerade and the person who drives the Mercedes in that order.\nClue 37: Mandy is immediately to the left of the architect.\nClue 38: The soccer player is the person who smokes Camel.\nClue 39: The person who likes Fanta is somewhere to the left of the person who owns a Balenciaga.\nClue 40: The German is the person who likes Powerade.\nClue 41: The person who likes drone flying is not the person who likes Fanta.\nClue 42: The Portuguese is not the person who drinks lemonade.\nClue 43: The programmer is somewhere in between the person who supports the Suns and the person who drives the Tesla in that order.\nClue 44: Charlie is somewhere in between the programmer and the person who likes cooking in that order.\nClue 45: The person who drives the Benelli is immediately to the left of the person who likes Coke.\nClue 46: The person who drinks tea is the person who likes Gatorade.\nClue 47: The person who likes paragliding is the person who likes carnations.\nClue 48: The person who drives the Yamaha is immediately to the left of the person who drives the Buell.\nClue 49: The dancer is the person who likes Fanta.\nClue 50: The Turkish is the doctor.\nClue 51: The person who drinks tea is somewhere in between the teacher and the person who drinks beer in that order.\nClue 52: The person who drives the Benelli is immediately to the left of the person who owns a Balenciaga.\nClue 53: The person who drives the Ford is somewhere to the left of the person who owns a Balenciaga.\nClue 54: The person who likes cheese making is the person who supports the Cavaliers.\nClue 55: The dancer is at one of the ends.\nClue 56: The person who reads humor books is at one of the ends.\nClue 57: The person who supports the Cavaliers is the person who owns a Coach.\nClue 58: The person who supports the Cincinnati Bengals is next to the baseball player.\nClue 59: The person who drives the Harley-Davidson is somewhere in between the flute player and the Turkish in that order.\nClue 60: The person who likes Topaz is immediately to the left of the person who reads short story books.\nClue 61: The architect is not the person who drinks beer.\nClue 62: The person who likes paragliding is the person who smokes Salem.\nClue 63: The person who drinks beer is somewhere to the left of the person who likes cooking.\nClue 64: The table tennis player is next to the person who reads magical realism books.\nClue 65: The person who smokes Blends is immediately to the left of the person who supports the Cincinnati Bengals.\nClue 66: Mandy is not the person who owns a Versace.\nClue 67: The table tennis player is somewhere in between the person who supports the Buffalo Bills and the person who reads magical realism books in that order.\nClue 68: The Portuguese is at one of the ends.\nClue 69: The person who likes gardening is the person who drives the Yamaha.\nClue 70: Siva is not the person who drives the Buell.\nClue 71: The person who owns a Polo Ralph Lauren is next to the person who likes Gatorade.\nClue 72: The person who likes cheese making is not the person who likes Fanta.\nClue 73: The Pakistani is next to Charlie.\nClue 74: The person who supports the Lakers is at one of the ends.\nClue 75: The person who likes Ambers is at one of the ends.\nClue 76: The Iranian is the person who drinks lemonade.\nClue 77: The person who reads history books is the person who smokes Marlboro.\nClue 78: The person who likes Obsidians is immediately to the left of the person who likes snorkeling.\nClue 79: The Turkish is at one of the ends.\nClue 80: The person who drives the BMW is immediately to the left of the piano player.\nClue 81: The Pakistani is not Siva.\nClue 82: Charlie is the writer.\nClue 83: The person who likes drone flying is immediately to the left of Doug.\nClue 84: The person who likes Fanta is not the person who drinks tea.\nClue 85: The Pakistani is the flute player.\nClue 86: The person who likes Gypsum is the person who likes peonies.\nClue 87: The person who likes Mountain Dew is the architect.\nClue 88: The cello player is immediately to the left of the person who supports the Knicks.\nClue 89: The soccer player is immediately to the left of the person who likes snorkeling.\nClue 90: The person who likes snorkeling is next to the person who likes Amethysts.\nClue 91: The Spanish is somewhere to the left of the doctor.\nClue 92: The person who drives the Ferrari is the person who owns a Polo Ralph Lauren.\nClue 93: The person who likes Gatorade is the person who likes cheese making.\nClue 94: Doug is at one of the ends.\nClue 95: The person who likes gardening is somewhere in between the dancer and Charlie in that order.\nClue 96: The person who owns a Tumi is the person who likes Fanta.\nClue 97: The person who owns a Tory Burch is Mandy.\nClue 98: The person who likes Coke is somewhere to the left of the drums player.\nClue 99: The person who drives the Benelli is the Pakistani.\nClue 100: The person who owns a Polo Ralph Lauren is the person who supports the Knicks.\nClue 101: The person who likes swimming is the person who reads fantasy books.\nClue 102: The person who owns a Tory Burch is somewhere in between the person who likes Fanta and Karan in that order.\nClue 103: The drums player is at one of the ends.\nClue 104: The Spanish is somewhere in between the person who drinks tea and the person who drinks hot chocolate in that order.\nClue 105: The person who likes marigolds is next to the person who likes Gypsum.\nClue 106: The person who supports the Cincinnati Bengals is immediately to the left of the person who smokes Marlboro.\nClue 107: The doctor is the person who likes cooking.\nClue 108: The tennis player is at one of the ends.\nClue 109: The person who smokes Salem is at one of the ends.\nClue 110: The person who supports the Suns is not the person who likes Coke.\nClue 111: The person who likes skiing is the person who smokes Dunhill.\nClue 112: The person who likes drone flying is not the person who owns a Tory Burch.\nClue 113: The Portuguese is immediately to the left of Mandy.\nClue 114: The saxophone player is at one of the ends.\nClue 115: The person who likes peonies is at one of the ends.\nClue 116: The German is somewhere in between the person who supports the Suns and the person who likes cheese making in that order.\nClue 117: The person who supports the Atlanta Falcons is the person who smokes Newport.\nClue 118: The person who owns a Balenciaga is Charlie.\nClue 119: The person who likes peonies is somewhere to the left of the person who likes carnations.\nClue 120: The harp player is somewhere in between the person who owns a Coach and the person who drinks hot chocolate in that order.\nClue 121: The person who drives the Ford is the person who drives the Benelli.\nClue 122: The person who likes daisies is the person who supports the Cincinnati Bengals.\nClue 123: The person who drinks lemonade is immediately to the left of the person who likes gardening.\nClue 124: The person who owns a Balenciaga is the person who supports the Hawks.\nClue 125: The person who drinks beer is the person who likes drone flying.\nClue 126: The person who likes Moonstones is somewhere in between the person who likes Gypsum and the person who smokes Salem in that order.\nClue 127: The singer is next to Tao.\nClue 128: The person who reads spiritual books is the person who likes marigolds.\nClue 129: The person who likes Powerade is immediately to the left of Alex.\nClue 130: The Swiss is somewhere to the left of Karan.\nClue 131: The person who likes Topaz is somewhere in between the person at the 1st position and the person who supports the Buffalo Bills in that order.\nClue 132: The person who supports the Arizona Cardinals is immediately to the left of the basketball player.\nClue 133: The person who drives the Harley-Davidson is not the programmer.\nClue 134: The person who likes swimming is immediately to the left of the person who supports the Miami Dolphins.\nClue 135: The doctor is not the person who drives the Harley-Davidson.\nClue 136: The basketball player is the person who reads mystery books.\nClue 137: The person who supports the Hawks is somewhere in between the Pakistani and the person who owns a Dolce and Gabbana in that order.\nClue 138: The person who supports the Hawks is the person who drinks beer.\nClue 139: The person who reads magical realism books is the person who smokes Salem.\nClue 140: The person who supports the Suns is immediately to the left of the person who likes painting.\nClue 141: Doug is at one of the ends.\nClue 142: The person who likes snorkeling is not the person who likes daffodils.\n\nQuestion: What position is the person who likes Amethysts at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:097", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone lives in a different colored house: brown, pink, black, indigo, magenta, red.\nEveryone likes a different favorite animal: carp, otters, crocodiles, donkeys, ravens, snails.\nEveryone plays a different musical instrument: cello, harmonica, oboe, violin, harp, flute.\nEveryone has a different favorite hobby: video games, wine making, archery, kayaking, knitting, sailing.\nEveryone likes a different food: burgers, curry, kebabs, sandwiches, noodles, tacos.\nEveryone has a different favorite soft drink: Limca, Coke, 7up, Canada Dry, Sprite, Gatorade.\nEveryone supports a different NBA team: Suns, Bucks, Celtics, Knicks, Warriors, Mavericks.\nEveryone plays a different sport: soccer, table tennis, cricket, volleyball, tennis, basketball.\nEveryone drinks a different drink: coffee, hot chocolate, orange juice, tea, milk, iced coffee.\nEveryone likes a different type of flower: lilies, roses, carnations, peonies, dahlias, daisies.\nEveryone likes a different fruit: mangoes, grapes, raspberries, pears, apples, oranges.\nEveryone drives a different car: McLaren, BMW, Ford, Tesla, Honda, Toyota.\nEveryone is a different nationality: Turkish, German, Chilean, Hungarian, Iranian, Portuguese.\nEveryone likes a different physical activity: hiking, base jumping, swimming, running, biking, weight lifting.\nEveryone owns a different handbag brand: Tory Burch, Dolce and Gabbana, Versace, Kate Spade, Tumi, Coach.\nEveryone has a different profession: programmer, architect, designer, athlete, dancer, artist.\nEveryone reads a different genre of books: magical realism, fantasy, short story, spiritual, history, romance.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes carp is not the person who likes roses.\nClue 2: The cricket player is somewhere to the left of the person who owns a Kate Spade.\nClue 3: The person who lives in the black house is somewhere in between the person who supports the Celtics and the table tennis player in that order.\nClue 4: The person who likes running is at one of the ends.\nClue 5: The person who drives the BMW is the athlete.\nClue 6: The person who likes roses is the tennis player.\nClue 7: The person who owns a Versace is the oboe player.\nClue 8: The person who supports the Bucks is somewhere in between the person who lives in the magenta house and the person who owns a Coach in that order.\nClue 9: The person who lives in the black house is immediately to the left of the person who likes knitting.\nClue 10: The person who likes hiking is somewhere to the left of the person who owns a Versace.\nClue 11: The person who likes knitting is the person who likes running.\nClue 12: The person who likes biking is the person who reads fantasy books.\nClue 13: The person who reads history books is immediately to the left of the person who likes Sprite.\nClue 14: The person who drinks tea is somewhere in between the person who drives the Tesla and the person who eats raspberries in that order.\nClue 15: The person who likes Canada Dry is at one of the ends.\nClue 16: The person who owns a Versace is not the person who supports the Celtics.\nClue 17: The person who supports the Mavericks is somewhere in between the harmonica player and the person who reads spiritual books in that order.\nClue 18: The harp player is somewhere in between the person who likes otters and the person who likes Limca in that order.\nClue 19: The tennis player is somewhere to the left of the person who likes Sprite.\nClue 20: The cricket player is at one of the ends.\nClue 21: The Hungarian is somewhere in between the person who drinks orange juice and the person who eats raspberries in that order.\nClue 22: The person who likes roses is somewhere in between the person who likes kayaking and the person who likes weight lifting in that order.\nClue 23: The person who lives in the indigo house is at one of the ends.\nClue 24: The person who supports the Mavericks is not the person who likes carnations.\nClue 25: The person who likes swimming is immediately to the left of the person who lives in the brown house.\nClue 26: The person who reads spiritual books is not the person who likes Sprite.\nClue 27: The person who supports the Warriors is not the person who likes roses.\nClue 28: The architect is the person who eats grapes.\nClue 29: The person who likes sandwiches is next to the Turkish.\nClue 30: The person who reads history books is not the person who likes kayaking.\nClue 31: The person who lives in the brown house is the person who likes weight lifting.\nClue 32: The person who lives in the magenta house is the person who likes daisies.\nClue 33: The person who likes Limca is at one of the ends.\nClue 34: The person who likes tacos is at one of the ends.\nClue 35: The basketball player is somewhere to the left of the person who likes knitting.\nClue 36: The person who likes otters is somewhere in between the person who likes roses and the flute player in that order.\nClue 37: The person who likes archery is somewhere to the left of the person who lives in the black house.\nClue 38: The person who reads romance books is not the person who lives in the magenta house.\nClue 39: The person who likes daisies is somewhere in between the person who likes Canada Dry and the person who likes roses in that order.\nClue 40: The person who likes wine making is not the person who supports the Warriors.\nClue 41: The person who likes base jumping is somewhere to the left of the person who reads history books.\nClue 42: The cricket player is at one of the ends.\nClue 43: The person who supports the Celtics is the harmonica player.\nClue 44: The person who likes crocodiles is somewhere in between the oboe player and the flute player in that order.\nClue 45: The person who supports the Bucks is immediately to the left of the person who reads magical realism books.\nClue 46: The person who eats pears is immediately to the left of the Portuguese.\nClue 47: The person who likes weight lifting is not the person who lives in the indigo house.\nClue 48: The basketball player is immediately to the left of the person who lives in the indigo house.\nClue 49: The person who eats oranges is the designer.\nClue 50: The programmer is somewhere to the left of the person who likes sandwiches.\nClue 51: The artist is somewhere in between the person who eats grapes and the person who drives the Tesla in that order.\nClue 52: The soccer player is the person who reads magical realism books.\nClue 53: The person who supports the Knicks is the person who likes dahlias.\nClue 54: The basketball player is somewhere in between the person who likes weight lifting and the table tennis player in that order.\nClue 55: The person who owns a Tory Burch is not the person who likes donkeys.\nClue 56: The cricket player is somewhere to the left of the person who likes crocodiles.\nClue 57: The person who drinks iced coffee is next to the German.\nClue 58: The person who drives the Toyota is next to the person who eats pears.\nClue 59: The person who drinks orange juice is next to the person who likes curry.\nClue 60: The cricket player is at one of the ends.\nClue 61: The person who drives the Honda is next to the person who drinks coffee.\nClue 62: The person who likes running is at one of the ends.\nClue 63: The person who likes knitting is not the person who reads romance books.\nClue 64: The oboe player is not the person who owns a Dolce and Gabbana.\nClue 65: The person who eats pears is the person at the 2nd position.\nClue 66: The person who lives in the indigo house is next to the person who likes sailing.\nClue 67: The person who lives in the pink house is somewhere to the left of the person who likes otters.\nClue 68: The flute player is at one of the ends.\nClue 69: The person who lives in the magenta house is somewhere to the left of the person who likes Gatorade.\nClue 70: The dancer is the person who drinks tea.\nClue 71: The person who likes Gatorade is somewhere in between the person who owns a Kate Spade and the person who likes knitting in that order.\nClue 72: The person who likes burgers is immediately to the left of the person who likes sandwiches.\nClue 73: The person who drives the Tesla is immediately to the left of the person who drives the McLaren.\nClue 74: The person who reads romance books is next to the person who reads short story books.\nClue 75: The person who drives the BMW is the person who drinks coffee.\nClue 76: The person who likes Limca is at one of the ends.\nClue 77: The person who owns a Coach is next to the person who likes biking.\nClue 78: The person who supports the Bucks is the person who lives in the pink house.\nClue 79: The person who likes Canada Dry is immediately to the left of the person who likes carp.\nClue 80: The person who supports the Knicks is the person who owns a Dolce and Gabbana.\nClue 81: The person who likes daisies is immediately to the left of the person who likes roses.\nClue 82: The person who supports the Bucks is somewhere to the left of the person who lives in the black house.\nClue 83: The table tennis player is the person who owns a Tory Burch.\nClue 84: The designer is the person who drives the Tesla.\nClue 85: The person who likes wine making is not the person who likes crocodiles.\nClue 86: The person who likes running is at one of the ends.\nClue 87: The person who reads fantasy books is the person who supports the Mavericks.\nClue 88: The person who reads short story books is immediately to the left of the tennis player.\nClue 89: The soccer player is immediately to the left of the person who supports the Mavericks.\nClue 90: The person who likes swimming is somewhere in between the oboe player and the person who reads fantasy books in that order.\nClue 91: The person who owns a Versace is not the person who lives in the indigo house.\nClue 92: The Hungarian is somewhere to the left of the person who drives the Tesla.\nClue 93: The person who reads spiritual books is at one of the ends.\nClue 94: The person who supports the Mavericks is somewhere in between the person who owns a Dolce and Gabbana and the person who owns a Tory Burch in that order.\nClue 95: The person who supports the Celtics is not the person who likes running.\nClue 96: The person who likes peonies is not the person who likes carp.\nClue 97: The person who owns a Kate Spade is next to the person who likes carnations.\nClue 98: The harp player is somewhere in between the person who supports the Bucks and the person who likes Limca in that order.\nClue 99: The person who drives the Tesla is immediately to the left of the Chilean.\nClue 100: The person who likes running is at one of the ends.\nClue 101: The person who lives in the indigo house is not the person who supports the Mavericks.\nClue 102: The person who supports the Suns is at one of the ends.\nClue 103: The person who likes Gatorade is not the person who likes otters.\nClue 104: The person who lives in the black house is somewhere in between the harmonica player and the flute player in that order.\nClue 105: The person who owns a Versace is the person who likes carp.\nClue 106: The person who reads fantasy books is somewhere to the left of the person who likes ravens.\nClue 107: The dancer is the person who likes kebabs.\nClue 108: The violin player is somewhere to the left of the oboe player.\nClue 109: The person who reads romance books is at one of the ends.\nClue 110: The harmonica player is immediately to the left of the person who owns a Tumi.\nClue 111: The person who likes Canada Dry is somewhere to the left of the person who likes crocodiles.\nClue 112: The person who supports the Celtics is not the basketball player.\nClue 113: The person who reads fantasy books is not the person who likes swimming.\nClue 114: The person who supports the Warriors is next to the person who likes donkeys.\nClue 115: The violin player is at one of the ends.\nClue 116: The person at the 6th position is next to the person who eats mangoes.\nClue 117: The harp player is somewhere in between the soccer player and the person who owns a Tory Burch in that order.\nClue 118: The person who likes lilies is at one of the ends.\nClue 119: The person who reads fantasy books is the person who lives in the black house.\nClue 120: The person who supports the Knicks is at one of the ends.\nClue 121: The person who likes carnations is not the person who owns a Versace.\nClue 122: The person who owns a Coach is somewhere in between the person who likes snails and the harp player in that order.\nClue 123: The person who likes 7up is the person who reads short story books.\nClue 124: The athlete is the person who eats raspberries.\nClue 125: The Chilean is somewhere to the left of the person who drinks hot chocolate.\nClue 126: The person who likes Limca is not the person who lives in the red house.\n\nQuestion: What position is the German at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:100", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone supports a different NBA team: Bucks, Suns, Cavaliers, Bulls, Celtics, Mavericks.\nEveryone has a different profession: doctor, athlete, programmer, chef, teacher, architect.\nEveryone reads a different genre of books: humor, science fiction, spiritual, fantasy, mystery, history.\nEveryone likes a different favorite animal: panthers, hippopotamuses, hummingbirds, whales, cows, dogs.\nEveryone has a different name: Ali, Jackson, Alex, Wang, Mohan, Charlie.\nEveryone drinks a different drink: hot chocolate, orange juice, lemonade, water, iced coffee, coffee.\nEveryone plays a different sport: table tennis, baseball, ice hockey, tennis, basketball, cricket.\nEveryone likes a different type of flower: tulips, daffodils, peonies, roses, begonias, lilies.\nEveryone supports a different NFL team: Philadelphia Eagles, Buffalo Bills, San Francisco 49ers, Denver Broncos, Kansas City Chiefs, Green Bay Packers.\nEveryone likes a different food: fried rice, soups, noodles, curry, kebabs, sandwiches.\nEveryone is a different nationality: Belarusian, Iranian, Nepali, Korean, Brit, Bangladeshi.\nEveryone owns a different handbag brand: Gucci, Coach, Tory Burch, Polo Ralph Lauren, Balenciaga, Michael Kors.\nEveryone drives a different motorbike: Piaggio, Bajaj, Harley-Davidson, Benelli, Yamaha, Honda.\nEveryone has a different favorite soft drink: Dr Pepper, Limca, Mountain Dew, Powerade, 7up, Sprite.\nEveryone lives in a different colored house: black, white, red, green, cyan, indigo.\nEveryone drives a different car: Ferrari, Lexus, McLaren, Audi, BMW, Honda.\nEveryone likes a different fruit: oranges, kiwis, strawberries, blackberries, raspberries, apples.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Lexus is at one of the ends.\nClue 2: The architect is at one of the ends.\nClue 3: The basketball player is the person who supports the Kansas City Chiefs.\nClue 4: The person who likes Sprite is immediately to the left of the person who supports the Bulls.\nClue 5: The person who eats raspberries is the person who lives in the black house.\nClue 6: The person who likes noodles is not the person who likes cows.\nClue 7: The person who likes 7up is not the athlete.\nClue 8: The person who drives the Harley-Davidson is not the person who likes Powerade.\nClue 9: The person who likes kebabs is not the person who supports the Mavericks.\nClue 10: The person who likes Limca is next to the person who drives the Piaggio.\nClue 11: The person who reads history books is somewhere to the left of the person who lives in the red house.\nClue 12: The person who owns a Polo Ralph Lauren is the person who eats oranges.\nClue 13: The person who likes cows is next to the person who likes panthers.\nClue 14: The person who drives the Lexus is not the person who supports the Buffalo Bills.\nClue 15: The person who likes sandwiches is somewhere to the left of the person who drives the BMW.\nClue 16: The table tennis player is immediately to the left of the person who likes panthers.\nClue 17: The person who drinks lemonade is somewhere in between the Brit and the person who owns a Michael Kors in that order.\nClue 18: The person who eats blackberries is somewhere in between the person who owns a Tory Burch and the person who drinks orange juice in that order.\nClue 19: The person who supports the Denver Broncos is the person who drives the Lexus.\nClue 20: The person who likes roses is not the person who supports the Mavericks.\nClue 21: The person who likes whales is Wang.\nClue 22: The person who supports the Cavaliers is next to Jackson.\nClue 23: The person who supports the Kansas City Chiefs is somewhere in between the table tennis player and the person who drives the Honda in that order.\nClue 24: The person who likes lilies is next to the person who drives the Lexus.\nClue 25: The person who reads fantasy books is immediately to the left of the person who reads mystery books.\nClue 26: The person who supports the Kansas City Chiefs is the person who likes lilies.\nClue 27: The person at the 3rd position is immediately to the left of the person who drinks coffee.\nClue 28: The person who drives the Bajaj is next to the person who drives the Honda.\nClue 29: The person who eats kiwis is the person who lives in the red house.\nClue 30: The person who likes begonias is next to the person who supports the Bulls.\nClue 31: The person who likes noodles is Charlie.\nClue 32: The person who lives in the black house is at one of the ends.\nClue 33: The person who drinks coffee is immediately to the left of the person who reads mystery books.\nClue 34: Jackson is not the basketball player.\nClue 35: The person who drives the Yamaha is not the teacher.\nClue 36: The doctor is somewhere to the left of Charlie.\nClue 37: The person who likes hippopotamuses is at one of the ends.\nClue 38: The person who likes 7up is the person who likes soups.\nClue 39: The person who supports the Bucks is at one of the ends.\nClue 40: The person who supports the San Francisco 49ers is next to the person who likes dogs.\nClue 41: The person who drives the Honda is somewhere in between the person who likes tulips and the table tennis player in that order.\nClue 42: The person who drives the Audi is at one of the ends.\nClue 43: The person at the 1st position is the person who eats apples.\nClue 44: The person who reads humor books is the person who drinks orange juice.\nClue 45: Wang is immediately to the left of the person who supports the Kansas City Chiefs.\nClue 46: The person who supports the Green Bay Packers is somewhere to the left of the person who drives the Yamaha.\nClue 47: The teacher is the person who likes daffodils.\nClue 48: The ice hockey player is at one of the ends.\nClue 49: The person who likes Dr Pepper is the tennis player.\nClue 50: The tennis player is next to the person who drives the Honda.\nClue 51: The person who likes roses is not the person who drives the Ferrari.\nClue 52: The person who owns a Balenciaga is at one of the ends.\nClue 53: The person who likes whales is somewhere to the left of the basketball player.\nClue 54: The person who supports the Suns is not the person who supports the San Francisco 49ers.\nClue 55: The person who likes hippopotamuses is the person who supports the San Francisco 49ers.\nClue 56: The person who drives the McLaren is not the person who supports the Denver Broncos.\nClue 57: The person who likes noodles is not the programmer.\nClue 58: The person who drives the Ferrari is the person who likes daffodils.\nClue 59: Charlie is immediately to the left of the person who supports the Bucks.\nClue 60: The person who drives the Benelli is at one of the ends.\nClue 61: The person who drinks coffee is somewhere to the left of the person who owns a Michael Kors.\nClue 62: The doctor is somewhere in between the person who likes kebabs and Charlie in that order.\nClue 63: The person who likes kebabs is the baseball player.\nClue 64: The person who drinks coffee is immediately to the left of the Belarusian.\nClue 65: The person who likes peonies is the person who likes curry.\nClue 66: The person who likes tulips is the person who likes hippopotamuses.\nClue 67: The person who owns a Coach is immediately to the left of the person who reads humor books.\nClue 68: The person who supports the Philadelphia Eagles is somewhere to the left of the person who supports the Kansas City Chiefs.\nClue 69: The person who drives the Bajaj is not the athlete.\nClue 70: The person who drives the Benelli is not the person who likes Limca.\nClue 71: Alex is immediately to the left of the person who likes 7up.\nClue 72: Alex is somewhere in between the person who likes roses and the person who likes panthers in that order.\nClue 73: The person who supports the San Francisco 49ers is the person who supports the Cavaliers.\nClue 74: Jackson is immediately to the left of the teacher.\nClue 75: The person who supports the Mavericks is not the ice hockey player.\nClue 76: The Nepali is somewhere in between the Korean and the person who eats oranges in that order.\nClue 77: The person who eats apples is immediately to the left of the Korean.\nClue 78: The person who drives the Lexus is the ice hockey player.\nClue 79: The person who drives the Audi is Mohan.\nClue 80: The person who drives the BMW is somewhere in between the person who likes sandwiches and the person who likes cows in that order.\nClue 81: The person who eats kiwis is immediately to the left of the person who lives in the white house.\nClue 82: The person who supports the Buffalo Bills is the person who likes begonias.\nClue 83: The person who likes kebabs is immediately to the left of the person who likes sandwiches.\nClue 84: The person who supports the Mavericks is somewhere in between the person who drives the Benelli and the person who likes curry in that order.\nClue 85: The person who likes soups is immediately to the left of the person who likes noodles.\nClue 86: The athlete is the person who likes peonies.\nClue 87: The person who supports the Bulls is the person who likes hummingbirds.\nClue 88: The person who likes Sprite is the baseball player.\nClue 89: The person who likes tulips is at one of the ends.\nClue 90: The person who drives the McLaren is somewhere to the left of the person who likes Limca.\nClue 91: The person who drinks coffee is the person who lives in the indigo house.\nClue 92: The person who likes kebabs is somewhere to the left of the person who supports the Kansas City Chiefs.\nClue 93: The table tennis player is next to the person who drives the Bajaj.\nClue 94: The person who drinks coffee is the Iranian.\nClue 95: The person who drives the Honda is the person who likes cows.\nClue 96: The person who likes sandwiches is next to the person who likes whales.\nClue 97: The person who eats apples is the person who lives in the green house.\nClue 98: The person who likes panthers is not the person who likes roses.\nClue 99: The person who supports the Celtics is immediately to the left of the person who likes peonies.\nClue 100: The person who likes Dr Pepper is at one of the ends.\nClue 101: The person who likes noodles is next to the person who supports the Denver Broncos.\nClue 102: The ice hockey player is at one of the ends.\nClue 103: The athlete is at one of the ends.\nClue 104: Alex is immediately to the left of the table tennis player.\nClue 105: The person who likes soups is somewhere in between the person who supports the Bulls and Ali in that order.\nClue 106: The tennis player is at one of the ends.\nClue 107: The person who owns a Michael Kors is next to the person who drinks hot chocolate.\nClue 108: The cricket player is not the person who likes tulips.\nClue 109: The teacher is the cricket player.\nClue 110: The person who eats blackberries is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 111: The person who supports the Mavericks is the doctor.\nClue 112: The person who likes Mountain Dew is somewhere to the left of the person who likes 7up.\nClue 113: The person who likes 7up is somewhere in between the person who supports the Bulls and the person who drives the Honda in that order.\nClue 114: The person who supports the Cavaliers is at one of the ends.\nClue 115: The person who eats kiwis is next to the person who eats apples.\nClue 116: The person who likes noodles is the person who supports the Celtics.\nClue 117: The person who drives the McLaren is somewhere in between Wang and the person who likes peonies in that order.\nClue 118: The person who likes sandwiches is somewhere in between the person who likes Sprite and the person who likes soups in that order.\nClue 119: The person who supports the San Francisco 49ers is at one of the ends.\nClue 120: The person who likes curry is the person who supports the Bucks.\nClue 121: The programmer is the person who likes kebabs.\nClue 122: The person who drinks water is somewhere in between the person who reads spiritual books and the person who drinks coffee in that order.\nClue 123: The person who drives the Ferrari is somewhere in between the architect and the person who likes lilies in that order.\nClue 124: The person who likes panthers is next to the person who likes peonies.\nClue 125: The tennis player is not the person who supports the Kansas City Chiefs.\nClue 126: The person who likes peonies is at one of the ends.\n\nQuestion: What position is the person who drinks iced coffee at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:101", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone has a different profession: engineer, artist, chef, architect, writer, actor.\nEveryone has a different favorite soft drink: Sprite, Dr Pepper, Gatorade, Coke, 7up, Mirinda.\nEveryone likes a different fruit: mangoes, kiwis, raspberries, strawberries, bananas, pears.\nEveryone likes a different food: kebabs, curry, noodles, burgers, tacos, pasta.\nEveryone likes a different type of flower: roses, tulips, daffodils, peonies, marigolds, begonias.\nEveryone owns a different handbag brand: Kate Spade, Versace, Polo Ralph Lauren, Tory Burch, Dolce and Gabbana, Tumi.\nEveryone reads a different genre of books: mystery, history, short story, fantasy, romance, science fiction.\nEveryone plays a different musical instrument: harp, cello, guitar, oboe, flute, violin.\nEveryone has a different name: Katherine, Margaret, Rajiv, Bob, Doug, Charlie.\nEveryone supports a different NBA team: Bucks, Lakers, Knicks, Hawks, Warriors, Cavaliers.\nEveryone supports a different NFL team: Seattle Seahawks, Chicago Bears, Atlanta Falcons, Green Bay Packers, San Francisco 49ers, Detroit Lions.\nEveryone plays a different sport: basketball, table tennis, ice hockey, baseball, volleyball, badminton.\nEveryone drives a different motorbike: Harley-Davidson, Honda, Benelli, Kawasaki, Ducati, Bajaj.\nEveryone drives a different car: McLaren, Kia, Audi, Hyundai, BMW, Toyota.\nEveryone lives in a different colored house: red, violet, brown, magenta, pink, teal.\nEveryone likes a different type of gemstone: Sapphires, Jade, Amethysts, Emeralds, Topaz, Moonstones.\nEveryone likes a different favorite animal: rabbits, doves, ducks, sun bears, pelikans, eagles.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Chicago Bears is the person who drives the Kawasaki.\nClue 2: The person who eats mangoes is somewhere in between the person who likes Moonstones and the baseball player in that order.\nClue 3: The person who lives in the teal house is at one of the ends.\nClue 4: The actor is somewhere to the left of the person who drives the Toyota.\nClue 5: The artist is somewhere in between the person who lives in the red house and the person who owns a Versace in that order.\nClue 6: The guitar player is immediately to the left of Charlie.\nClue 7: The person who likes Topaz is the person who likes begonias.\nClue 8: The person who likes Topaz is at one of the ends.\nClue 9: The engineer is the person who drives the McLaren.\nClue 10: The person who likes rabbits is the person who supports the Chicago Bears.\nClue 11: The person who likes marigolds is somewhere in between the person who owns a Tumi and the person who owns a Dolce and Gabbana in that order.\nClue 12: The badminton player is somewhere to the left of the person who likes Sprite.\nClue 13: The person who likes Moonstones is not the person who likes daffodils.\nClue 14: The person who likes marigolds is somewhere in between the person who likes Moonstones and the person who drives the McLaren in that order.\nClue 15: The person who drives the Hyundai is somewhere in between the person who reads short story books and the person who drives the McLaren in that order.\nClue 16: The person who likes daffodils is at one of the ends.\nClue 17: The person who eats bananas is at one of the ends.\nClue 18: The person who eats kiwis is at one of the ends.\nClue 19: The person who likes tacos is at one of the ends.\nClue 20: The artist is somewhere in between the person who likes roses and the person who reads romance books in that order.\nClue 21: The ice hockey player is immediately to the left of the person who likes daffodils.\nClue 22: The person who drives the BMW is the person who supports the Bucks.\nClue 23: The person who lives in the red house is the person who drives the Audi.\nClue 24: The person who likes Topaz is the person who eats kiwis.\nClue 25: The person who drives the Benelli is the person who supports the Atlanta Falcons.\nClue 26: The person who reads mystery books is the engineer.\nClue 27: The person who lives in the teal house is next to the ice hockey player.\nClue 28: The person who eats raspberries is somewhere in between the person who reads history books and the person who reads fantasy books in that order.\nClue 29: The engineer is next to the architect.\nClue 30: The person who lives in the magenta house is the actor.\nClue 31: The person who likes doves is at one of the ends.\nClue 32: The harp player is the person at the 3rd position.\nClue 33: The harp player is immediately to the left of the flute player.\nClue 34: The architect is somewhere in between the person who lives in the pink house and the baseball player in that order.\nClue 35: The person who likes Amethysts is the person who eats mangoes.\nClue 36: The person who supports the Atlanta Falcons is the person who likes ducks.\nClue 37: The person who likes begonias is immediately to the left of the person who likes roses.\nClue 38: The person who reads science fiction books is next to the person who lives in the red house.\nClue 39: The person who lives in the brown house is next to the person who owns a Tory Burch.\nClue 40: The person who owns a Tumi is somewhere in between the person who likes roses and the person who reads romance books in that order.\nClue 41: The chef is somewhere to the left of the ice hockey player.\nClue 42: The person who supports the Knicks is the writer.\nClue 43: The person who owns a Polo Ralph Lauren is next to the actor.\nClue 44: Doug is at one of the ends.\nClue 45: The person who supports the Seattle Seahawks is next to the person who likes rabbits.\nClue 46: The artist is somewhere to the left of the architect.\nClue 47: The person who supports the Warriors is immediately to the left of the person who eats strawberries.\nClue 48: The person at the 6th position is not the oboe player.\nClue 49: The person who owns a Tumi is next to the person who owns a Tory Burch.\nClue 50: The person who reads fantasy books is the architect.\nClue 51: The person who eats bananas is at one of the ends.\nClue 52: The person who owns a Polo Ralph Lauren is immediately to the left of the person who likes Jade.\nClue 53: The person who likes marigolds is the person who supports the Lakers.\nClue 54: The person who likes curry is immediately to the left of the person who supports the Green Bay Packers.\nClue 55: The person who owns a Tory Burch is somewhere in between the person who drives the Kia and the person who supports the Bucks in that order.\nClue 56: The basketball player is immediately to the left of the person who likes Amethysts.\nClue 57: The person who supports the Lakers is the person who drives the Toyota.\nClue 58: The basketball player is somewhere in between the person who eats kiwis and the person who owns a Polo Ralph Lauren in that order.\nClue 59: The person who supports the Lakers is not the person who likes peonies.\nClue 60: The person who likes Moonstones is not the person who supports the Knicks.\nClue 61: The person who likes marigolds is somewhere in between the person who likes peonies and the baseball player in that order.\nClue 62: The person who supports the Bucks is somewhere in between the person who lives in the pink house and the baseball player in that order.\nClue 63: The person who reads science fiction books is at one of the ends.\nClue 64: The person who likes Jade is next to the person who likes Amethysts.\nClue 65: The person who eats bananas is not the person who owns a Tory Burch.\nClue 66: The basketball player is immediately to the left of the architect.\nClue 67: The person who likes 7up is not the person who owns a Polo Ralph Lauren.\nClue 68: The person who eats mangoes is next to the person who lives in the magenta house.\nClue 69: The person who eats pears is not the person who owns a Kate Spade.\nClue 70: The person who likes daffodils is not the person who eats kiwis.\nClue 71: The person who likes peonies is somewhere in between the person who drives the Hyundai and the person who reads fantasy books in that order.\nClue 72: The person who owns a Kate Spade is not the person who drives the Hyundai.\nClue 73: The person who eats raspberries is immediately to the left of the person who likes Dr Pepper.\nClue 74: The actor is immediately to the left of the person who likes Amethysts.\nClue 75: The person who supports the Green Bay Packers is not the harp player.\nClue 76: The person who lives in the teal house is not the person who eats strawberries.\nClue 77: The person who eats strawberries is somewhere to the left of the person who supports the Lakers.\nClue 78: Bob is the person who likes pasta.\nClue 79: The person who supports the Knicks is the person who likes Gatorade.\nClue 80: The person who supports the Lakers is the ice hockey player.\nClue 81: The person who drives the Bajaj is immediately to the left of the person who likes tacos.\nClue 82: The person who reads romance books is the actor.\nClue 83: The person who drives the Hyundai is somewhere in between the person who likes Coke and the person who likes Moonstones in that order.\nClue 84: The person who supports the San Francisco 49ers is the person who likes sun bears.\nClue 85: The person who reads mystery books is the person who drives the McLaren.\nClue 86: The person who lives in the brown house is the person who likes begonias.\nClue 87: The person who drives the Kia is immediately to the left of the person who eats pears.\nClue 88: The person who reads history books is the person who likes tulips.\nClue 89: The person who likes Sprite is not the person who lives in the brown house.\nClue 90: The person who supports the Cavaliers is the person who lives in the teal house.\nClue 91: The person who likes begonias is not the person who lives in the pink house.\nClue 92: The person who supports the Bucks is somewhere in between the person who likes Mirinda and the ice hockey player in that order.\nClue 93: The person who supports the Warriors is somewhere to the left of the person who likes 7up.\nClue 94: The person who likes Dr Pepper is next to the person who owns a Dolce and Gabbana.\nClue 95: The person who eats bananas is the person who lives in the teal house.\nClue 96: The person who eats strawberries is not the person who likes begonias.\nClue 97: The actor is the person who owns a Versace.\nClue 98: The person who likes Sapphires is not the person who owns a Versace.\nClue 99: The architect is somewhere in between the person who reads romance books and the baseball player in that order.\nClue 100: The person who supports the Atlanta Falcons is the person who likes burgers.\nClue 101: The person who likes Sprite is somewhere in between the person who lives in the pink house and the baseball player in that order.\nClue 102: The person who eats mangoes is not the artist.\nClue 103: The person who reads fantasy books is the person who likes marigolds.\nClue 104: The person who lives in the magenta house is somewhere in between the artist and the person who reads mystery books in that order.\nClue 105: The person who drives the Honda is the person who likes doves.\nClue 106: The writer is at one of the ends.\nClue 107: The person who reads science fiction books is somewhere to the left of the person who likes daffodils.\nClue 108: The person who drives the Harley-Davidson is the person who likes eagles.\nClue 109: The person who drives the Harley-Davidson is immediately to the left of the person who supports the Green Bay Packers.\nClue 110: The person who owns a Tumi is immediately to the left of the person who eats raspberries.\nClue 111: The person who eats raspberries is not the person who drives the McLaren.\nClue 112: The chef is the person who eats pears.\nClue 113: Katherine is somewhere in between the person who supports the Seattle Seahawks and the person who likes tacos in that order.\nClue 114: The person who supports the Chicago Bears is next to the person who likes eagles.\nClue 115: The person who supports the Knicks is not the person who reads fantasy books.\nClue 116: The person who eats mangoes is not the person who supports the Hawks.\nClue 117: The person who reads romance books is somewhere to the left of the person who reads fantasy books.\nClue 118: The person who likes Topaz is at one of the ends.\nClue 119: Margaret is immediately to the left of the guitar player.\nClue 120: The person who likes kebabs is Margaret.\nClue 121: The person who likes daffodils is not the person who drives the Audi.\nClue 122: The person who eats mangoes is not the person who lives in the red house.\nClue 123: The person who lives in the teal house is not the volleyball player.\nClue 124: The ice hockey player is the person who supports the Lakers.\nClue 125: The basketball player is somewhere to the left of the person who likes daffodils.\nClue 126: The cello player is immediately to the left of the person who drives the Harley-Davidson.\n\nQuestion: What position is Rajiv at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:104", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone lives in a different colored house: white, black, brown, turquoise, violet, pink, blue.\nEveryone owns a different handbag brand: Polo Ralph Lauren, Balenciaga, Dolce and Gabbana, Michael Kors, Tumi, Versace, Gucci.\nEveryone plays a different musical instrument: piano, oboe, guitar, saxophone, cello, violin, harp.\nEveryone likes a different type of flower: daisies, tulips, marigolds, orchids, carnations, peonies, daffodils.\nEveryone has a different favorite hobby: canoeing, fishing, cooking, bird watching, wine making, crocheting, horse riding.\nEveryone likes a different physical activity: base jumping, scuba diving, paragliding, swimming, skiing, biking, running.\nEveryone supports a different NFL team: Miami Dolphins, New England Patriots, Los Angeles Rams, Green Bay Packers, Cincinnati Bengals, Chicago Bears, Carolina Panthers.\nEveryone likes a different favorite animal: turtles, snails, akitas, mules, aardvarks, cows, doctorfish.\nEveryone likes a different type of gemstone: Pearls, Ambers, Topaz, Opals, Aquamarines, Dolomites, Jade.\nEveryone smokes a different cigarette: Newport, Pall Mall, Salem, Blends, Dunhill, Marlboro, Winston.\nEveryone supports a different NBA team: Lakers, Mavericks, Celtics, Bucks, Knicks, Bulls, Warriors.\nEveryone has a different favorite soft drink: Pepsi, Coke, Gatorade, Sprite, Fanta, Canada Dry, Powerade.\nEveryone plays a different sport: table tennis, ice hockey, cricket, baseball, basketball, tennis, volleyball.\nEveryone has a different name: Noah, Drew, Maven, Bob, Karan, Mohsen, Margaret.\nEveryone likes a different fruit: oranges, apples, blueberries, blackberries, kiwis, strawberries, mangoes.\nEveryone drives a different car: Ferrari, Hyundai, Audi, BMW, Ford, Lexus, Toyota.\nEveryone drives a different motorbike: Ducati, Honda, Harley-Davidson, Kawasaki, Suzuki, Benelli, Yamaha.\nEveryone reads a different genre of books: spiritual, short story, romance, fantasy, history, mystery, humor.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes tulips is not the person who likes Canada Dry.\nClue 2: The person who likes daisies is somewhere to the left of the person who drives the Benelli.\nClue 3: The person who supports the Lakers is somewhere in between the person who likes tulips and the person who likes marigolds in that order.\nClue 4: The person who likes turtles is not the piano player.\nClue 5: The person who lives in the violet house is immediately to the left of the person who drives the Hyundai.\nClue 6: The person who drives the Toyota is somewhere to the left of the person who eats oranges.\nClue 7: The person who drives the Ford is next to the person who likes Opals.\nClue 8: The person who smokes Pall Mall is not the person who likes Sprite.\nClue 9: The person who likes Powerade is next to the person who likes horse riding.\nClue 10: The person who likes snails is not the volleyball player.\nClue 11: The person who smokes Newport is somewhere to the left of the person who likes turtles.\nClue 12: The person who likes tulips is next to the person who likes canoeing.\nClue 13: Margaret is somewhere in between the person who supports the Lakers and the person who likes cows in that order.\nClue 14: The person who likes aardvarks is somewhere to the left of the saxophone player.\nClue 15: The person who likes Aquamarines is immediately to the left of the person who likes scuba diving.\nClue 16: The person who supports the Warriors is next to the baseball player.\nClue 17: The person who likes base jumping is next to the person who likes Dolomites.\nClue 18: The person who supports the New England Patriots is the person who smokes Salem.\nClue 19: The person who supports the Los Angeles Rams is Maven.\nClue 20: The person who drives the Benelli is at one of the ends.\nClue 21: The person who drives the Ferrari is the person who likes Dolomites.\nClue 22: The person who supports the New England Patriots is somewhere in between the piano player and the person who drives the Harley-Davidson in that order.\nClue 23: The person who supports the Miami Dolphins is not the person who likes Coke.\nClue 24: The basketball player is not the person who likes cooking.\nClue 25: The person who eats blackberries is immediately to the left of the person who eats oranges.\nClue 26: The person who reads history books is immediately to the left of the person who drives the Audi.\nClue 27: The person who drives the Honda is the saxophone player.\nClue 28: The person who likes daffodils is the person who smokes Marlboro.\nClue 29: The oboe player is the person who supports the Los Angeles Rams.\nClue 30: The person who supports the Lakers is the person who supports the Miami Dolphins.\nClue 31: The person who supports the Bulls is somewhere to the left of the person who supports the Carolina Panthers.\nClue 32: The person who owns a Gucci is at one of the ends.\nClue 33: The person who lives in the violet house is at one of the ends.\nClue 34: The person who supports the New England Patriots is somewhere to the left of the person who supports the Green Bay Packers.\nClue 35: The person who lives in the violet house is immediately to the left of the person who likes biking.\nClue 36: The violin player is the person who likes snails.\nClue 37: The person who eats mangoes is the person who lives in the violet house.\nClue 38: The person who reads spiritual books is the person who lives in the black house.\nClue 39: The person who drives the Suzuki is the person who likes horse riding.\nClue 40: The person who likes Dolomites is somewhere to the left of the person who owns a Gucci.\nClue 41: The person who eats blackberries is the person at the 5th position.\nClue 42: The person who reads mystery books is the person who drives the BMW.\nClue 43: The person who likes daffodils is not the person who drives the Harley-Davidson.\nClue 44: The person who likes Canada Dry is somewhere to the left of the person who supports the Carolina Panthers.\nClue 45: The person who likes cooking is next to the violin player.\nClue 46: The person who reads romance books is immediately to the left of the person who eats oranges.\nClue 47: Drew is the person who supports the Carolina Panthers.\nClue 48: The person who supports the Bulls is immediately to the left of the person who smokes Dunhill.\nClue 49: The person who likes orchids is not the piano player.\nClue 50: The person who supports the Warriors is immediately to the left of the person who likes canoeing.\nClue 51: The person who drives the Ducati is somewhere to the left of the person who supports the Los Angeles Rams.\nClue 52: The ice hockey player is somewhere in between the person who supports the Warriors and the person who likes akitas in that order.\nClue 53: The person who likes Gatorade is not Noah.\nClue 54: The person who drives the Harley-Davidson is next to Noah.\nClue 55: The person who likes paragliding is immediately to the left of the person who likes base jumping.\nClue 56: The person who drives the Ford is immediately to the left of the person at the 4th position.\nClue 57: The person who supports the Lakers is not Mohsen.\nClue 58: The person who likes tulips is not the person who supports the Mavericks.\nClue 59: The person who smokes Newport is not the person who likes mules.\nClue 60: The person who supports the Mavericks is somewhere to the left of the person who drives the Honda.\nClue 61: The person who likes cows is at one of the ends.\nClue 62: The basketball player is somewhere in between the person who supports the Cincinnati Bengals and the cello player in that order.\nClue 63: The person who likes running is the person who reads mystery books.\nClue 64: The person who supports the Lakers is somewhere to the left of the person who supports the Carolina Panthers.\nClue 65: The person who likes wine making is the person who likes akitas.\nClue 66: The person who likes running is the person who likes Pearls.\nClue 67: The person who supports the Green Bay Packers is immediately to the left of the table tennis player.\nClue 68: The person who smokes Salem is immediately to the left of the person who supports the Warriors.\nClue 69: The person who likes peonies is at one of the ends.\nClue 70: The person who drives the Harley-Davidson is somewhere in between Mohsen and the person who likes carnations in that order.\nClue 71: The volleyball player is at one of the ends.\nClue 72: Maven is the basketball player.\nClue 73: Drew is not the person who likes Fanta.\nClue 74: The person who supports the Chicago Bears is somewhere in between the person who likes mules and the person who likes doctorfish in that order.\nClue 75: The person who lives in the violet house is immediately to the left of the person who lives in the pink house.\nClue 76: The person who likes mules is somewhere in between the person who supports the Bucks and the person who supports the Warriors in that order.\nClue 77: The person who likes akitas is somewhere to the left of the person who drives the Benelli.\nClue 78: The person who supports the Carolina Panthers is at one of the ends.\nClue 79: The person who drives the Yamaha is not the person who likes marigolds.\nClue 80: The person who smokes Blends is somewhere in between the baseball player and the person who likes akitas in that order.\nClue 81: The person who smokes Salem is not the person who supports the Chicago Bears.\nClue 82: The harp player is somewhere in between the person who smokes Marlboro and the guitar player in that order.\nClue 83: Mohsen is the person who likes cooking.\nClue 84: The person who likes turtles is immediately to the left of the person who likes cooking.\nClue 85: The person who likes orchids is not the person who drives the Yamaha.\nClue 86: The person who likes cows is the guitar player.\nClue 87: The person who drives the Ferrari is immediately to the left of the person who reads humor books.\nClue 88: The person who drives the Yamaha is somewhere in between the person who likes carnations and the guitar player in that order.\nClue 89: The person who likes carnations is somewhere in between the person who likes Sprite and the table tennis player in that order.\nClue 90: The person who likes running is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 91: The person who eats oranges is the person who reads short story books.\nClue 92: Mohsen is somewhere in between the person who smokes Marlboro and the person who likes Canada Dry in that order.\nClue 93: The person who lives in the black house is the person who owns a Versace.\nClue 94: The person who likes Aquamarines is the person who eats blueberries.\nClue 95: The person at the 2nd position is immediately to the left of the person who lives in the brown house.\nClue 96: The person who smokes Pall Mall is the person who supports the Lakers.\nClue 97: The person who lives in the turquoise house is somewhere in between the person who drives the Toyota and the person who likes Jade in that order.\nClue 98: The person who likes doctorfish is immediately to the left of Margaret.\nClue 99: The person who likes cows is the person who supports the Carolina Panthers.\nClue 100: The person who smokes Blends is immediately to the left of the person who supports the Lakers.\nClue 101: The person who likes cooking is not the volleyball player.\nClue 102: Mohsen is the person who likes mules.\nClue 103: The person who likes mules is the person who smokes Salem.\nClue 104: The person who likes Sprite is at one of the ends.\nClue 105: The person who owns a Tumi is somewhere in between the person who lives in the black house and the person who owns a Balenciaga in that order.\nClue 106: The person who likes Coke is not the harp player.\nClue 107: The person who likes cows is next to the person who smokes Winston.\nClue 108: The person who smokes Salem is the person who drives the Kawasaki.\nClue 109: The person who likes tulips is not the person who likes aardvarks.\nClue 110: The person who supports the Bucks is somewhere to the left of the person who supports the Miami Dolphins.\nClue 111: The person who supports the Chicago Bears is not the person who smokes Pall Mall.\nClue 112: The person who drives the Benelli is not Margaret.\nClue 113: The volleyball player is immediately to the left of the oboe player.\nClue 114: The violin player is the person who likes snails.\nClue 115: The person who likes Canada Dry is not the baseball player.\nClue 116: The person who drives the Toyota is the person who lives in the white house.\nClue 117: The person who likes paragliding is next to the person who owns a Gucci.\nClue 118: Noah is the person who likes doctorfish.\nClue 119: The person who likes marigolds is the guitar player.\nClue 120: The person who likes snails is not the person who likes Pepsi.\nClue 121: The person who drives the Suzuki is somewhere in between the person who drives the Ducati and the ice hockey player in that order.\nClue 122: The person who reads mystery books is immediately to the left of the person who likes Aquamarines.\nClue 123: The person who likes crocheting is not the table tennis player.\nClue 124: The person who supports the Mavericks is not the person who likes tulips.\nClue 125: The guitar player is not the person who likes Coke.\nClue 126: The person who likes orchids is somewhere in between the person who likes Coke and the person who supports the Warriors in that order.\nClue 127: The person who likes Topaz is the person who eats blackberries.\nClue 128: The person who drives the Honda is somewhere in between the person who drives the Harley-Davidson and the person who drives the Benelli in that order.\nClue 129: The person who smokes Dunhill is not the cricket player.\nClue 130: The person who owns a Versace is immediately to the left of the person who likes swimming.\nClue 131: The person who likes Sprite is the volleyball player.\nClue 132: The person who drives the Ducati is at one of the ends.\nClue 133: The person who drives the Hyundai is the person who eats blueberries.\nClue 134: The person who likes daisies is not the basketball player.\nClue 135: The person who eats blackberries is somewhere in between the person who drives the Audi and the person who likes paragliding in that order.\nClue 136: The person who owns a Dolce and Gabbana is at one of the ends.\nClue 137: The person who owns a Tumi is the person who eats blackberries.\nClue 138: The person who eats kiwis is immediately to the left of the person who eats strawberries.\nClue 139: The table tennis player is next to the person who supports the Bulls.\nClue 140: The person who supports the Bulls is next to the person who likes canoeing.\n\nQuestion: What position is the person who owns a Gucci at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:105", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone plays a different sport: volleyball, tennis, soccer, badminton, ice hockey.\nEveryone likes a different type of flower: roses, peonies, lilies, orchids, carnations.\nEveryone plays a different musical instrument: drums, cello, flute, guitar, piano.\nEveryone has a different favorite soft drink: Coke, Sprite, 7up, Limca, Powerade.\nEveryone smokes a different cigarette: Winston, Marlboro, Pall Mall, Blends, Blue Master.\nEveryone likes a different food: noodles, burgers, soups, curry, fried rice.\nEveryone owns a different handbag brand: Dolce and Gabbana, Tory Burch, Gucci, Balenciaga, Kate Spade.\nEveryone drives a different motorbike: Benelli, Honda, Yamaha, Buell, Ducati.\nEveryone likes a different fruit: mangoes, bananas, grapes, raspberries, oranges.\nEveryone has a different name: Rose, Siva, Jones, Rafael, Doug.\nEveryone has a different profession: spy, architect, athlete, actor, artist.\nEveryone drinks a different drink: iced tea, hot chocolate, milk, orange juice, lemonade.\nEveryone has a different favorite hobby: metal detecting, cheese making, drone flying, juggling, crocheting.\nEveryone lives in a different colored house: violet, green, yellow, blue, brown.\nEveryone drives a different car: Honda, McLaren, Kia, Ferrari, Mercedes.\nEveryone likes a different type of gemstone: Rubies, Aquamarines, Sapphires, Diamonds, Dolomites.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Benelli is at one of the ends.\nClue 2: The person who owns a Gucci is the person who drinks hot chocolate.\nClue 3: The person who likes lilies is somewhere in between the person who eats bananas and the person who likes carnations in that order.\nClue 4: The person who eats raspberries is somewhere in between the spy and the cello player in that order.\nClue 5: The person who likes Sprite is the person who lives in the green house.\nClue 6: The person who likes curry is next to the person who likes 7up.\nClue 7: The person who likes Sprite is not the person who drives the Yamaha.\nClue 8: The person who drinks milk is the person who lives in the yellow house.\nClue 9: The person who likes Sprite is the person who drives the Ferrari.\nClue 10: The person who likes noodles is at one of the ends.\nClue 11: The person who drives the Honda is somewhere to the left of the person who drinks hot chocolate.\nClue 12: The person who drives the Honda is the person who drinks iced tea.\nClue 13: The person who likes drone flying is the person who lives in the yellow house.\nClue 14: The person who likes fried rice is immediately to the left of the person who smokes Pall Mall.\nClue 15: The person who likes Limca is at one of the ends.\nClue 16: The person who drives the Ferrari is somewhere to the left of the person who owns a Balenciaga.\nClue 17: The person who drives the McLaren is somewhere in between the person who drives the Kia and the person who likes noodles in that order.\nClue 18: The person who drives the Ducati is somewhere in between the person who drives the Honda and the person who likes Limca in that order.\nClue 19: The volleyball player is not the person who likes crocheting.\nClue 20: The person who drives the Honda is immediately to the left of Rose.\nClue 21: Rose is not the person who likes juggling.\nClue 22: The person who likes crocheting is somewhere in between the person who likes curry and Jones in that order.\nClue 23: Jones is not the badminton player.\nClue 24: The person who drinks milk is somewhere to the left of the person who likes Limca.\nClue 25: The person who owns a Kate Spade is the person who lives in the green house.\nClue 26: The person who smokes Blends is not Doug.\nClue 27: The person who smokes Winston is somewhere to the left of the person who likes burgers.\nClue 28: The person who drives the McLaren is somewhere in between the person who owns a Balenciaga and the person who likes Limca in that order.\nClue 29: The person who likes lilies is the guitar player.\nClue 30: The person who likes curry is next to the person who drives the Yamaha.\nClue 31: The person who likes 7up is not the person who owns a Balenciaga.\nClue 32: The person who drives the Ferrari is not Siva.\nClue 33: The person who lives in the brown house is somewhere in between the person who smokes Pall Mall and the person who smokes Blue Master in that order.\nClue 34: The person who likes noodles is at one of the ends.\nClue 35: The volleyball player is the person who smokes Blends.\nClue 36: The person who lives in the yellow house is the person who likes fried rice.\nClue 37: The person who likes crocheting is the person who likes burgers.\nClue 38: The person who drives the Yamaha is immediately to the left of the person who smokes Pall Mall.\nClue 39: The person who lives in the brown house is somewhere to the left of the person who drinks orange juice.\nClue 40: The person who likes soups is not the person who drives the Mercedes.\nClue 41: The person who owns a Balenciaga is immediately to the left of the person who drives the Ducati.\nClue 42: The tennis player is not the person who lives in the blue house.\nClue 43: The person who likes juggling is at one of the ends.\nClue 44: The person who likes soups is immediately to the left of the person who likes juggling.\nClue 45: The person who eats mangoes is immediately to the left of the person who likes Diamonds.\nClue 46: The person who likes curry is not the person who drives the Yamaha.\nClue 47: The person who drives the Kia is the person who lives in the yellow house.\nClue 48: The person who likes soups is Rose.\nClue 49: The person who lives in the blue house is somewhere in between Siva and the person who smokes Marlboro in that order.\nClue 50: The badminton player is somewhere to the left of Jones.\nClue 51: The person who smokes Pall Mall is not the person who drives the Kia.\nClue 52: The person who likes crocheting is immediately to the left of the person who drives the McLaren.\nClue 53: The person who likes noodles is next to the person who drinks hot chocolate.\nClue 54: The person who owns a Balenciaga is the person who smokes Pall Mall.\nClue 55: The soccer player is the person who drinks hot chocolate.\nClue 56: The volleyball player is somewhere in between the person who drinks lemonade and the person who owns a Balenciaga in that order.\nClue 57: The person who likes juggling is the person who drinks orange juice.\nClue 58: The person who owns a Kate Spade is not the person who likes crocheting.\nClue 59: The person who owns a Kate Spade is somewhere to the left of the person who likes 7up.\nClue 60: The person who likes Sapphires is somewhere in between the guitar player and the person who likes carnations in that order.\nClue 61: The person who likes curry is somewhere to the left of the person who drives the Honda.\nClue 62: The person who drives the Benelli is somewhere to the left of the volleyball player.\nClue 63: Doug is next to the person who likes fried rice.\nClue 64: The soccer player is somewhere in between the person who lives in the blue house and the person who likes juggling in that order.\nClue 65: The person who lives in the blue house is somewhere to the left of the person who lives in the violet house.\nClue 66: The person who drives the Yamaha is somewhere in between the person who lives in the green house and the person who owns a Gucci in that order.\nClue 67: Rose is the person who owns a Gucci.\nClue 68: The person who smokes Marlboro is the person who likes cheese making.\nClue 69: The person who likes peonies is at one of the ends.\nClue 70: The person who owns a Balenciaga is somewhere in between the person who likes drone flying and the person who drives the Ducati in that order.\nClue 71: The person who drinks lemonade is immediately to the left of the volleyball player.\nClue 72: The artist is immediately to the left of the person who likes roses.\nClue 73: The person who lives in the blue house is somewhere in between the person who drinks milk and the ice hockey player in that order.\nClue 74: The drums player is at one of the ends.\nClue 75: The person who likes metal detecting is immediately to the left of the person who likes fried rice.\nClue 76: The person who drinks milk is immediately to the left of the person who drinks iced tea.\nClue 77: The person who smokes Blends is the volleyball player.\nClue 78: The person who drinks iced tea is Rafael.\nClue 79: The person who drinks orange juice is the person who likes juggling.\nClue 80: The person who likes Aquamarines is next to the person who likes roses.\nClue 81: The person who drives the Kia is next to the person who owns a Kate Spade.\nClue 82: The person who lives in the violet house is the person who likes noodles.\nClue 83: The soccer player is somewhere to the left of the person who likes Limca.\nClue 84: The person who smokes Blends is the person who lives in the yellow house.\nClue 85: The person who smokes Blue Master is not Rafael.\nClue 86: The person who drives the Ferrari is somewhere to the left of the person who likes Limca.\nClue 87: Siva is somewhere to the left of the person who lives in the brown house.\nClue 88: The piano player is the athlete.\nClue 89: The person who likes orchids is immediately to the left of the person who likes Dolomites.\nClue 90: The architect is the person who eats grapes.\nClue 91: The person who drinks lemonade is immediately to the left of the person who lives in the yellow house.\nClue 92: The person who likes cheese making is Rose.\nClue 93: Rose is somewhere to the left of the person who drinks orange juice.\nClue 94: The person who likes noodles is the person who lives in the violet house.\nClue 95: The person who drinks orange juice is not the person who likes curry.\nClue 96: The person who drives the Mercedes is the person who drinks orange juice.\nClue 97: The person who likes Diamonds is next to the actor.\nClue 98: The person who drives the Honda is next to the person who drives the Ducati.\nClue 99: The person who eats raspberries is the artist.\nClue 100: The person who drives the Ferrari is somewhere to the left of the person who likes soups.\nClue 101: The person who likes peonies is immediately to the left of the person who likes orchids.\nClue 102: The person who drinks hot chocolate is somewhere in between the person who owns a Balenciaga and the person who likes Limca in that order.\nClue 103: The person who smokes Marlboro is not the person who lives in the violet house.\nClue 104: The badminton player is next to the person who drives the Yamaha.\nClue 105: The person who likes carnations is at one of the ends.\nClue 106: The architect is somewhere in between the artist and the athlete in that order.\nClue 107: The person who likes soups is the person who owns a Gucci.\nClue 108: The person who likes burgers is the person who owns a Balenciaga.\nClue 109: The person who likes metal detecting is the person who drinks lemonade.\nClue 110: Siva is not the person who drinks hot chocolate.\nClue 111: The person who drives the Ferrari is immediately to the left of the person who drives the Kia.\nClue 112: The person who likes peonies is immediately to the left of the flute player.\nClue 113: The person who likes noodles is the person who drinks orange juice.\nClue 114: The badminton player is not the person who owns a Tory Burch.\nClue 115: The person who drives the Honda is at one of the ends.\nClue 116: The person who likes fried rice is next to the person who lives in the green house.\nClue 117: The person who likes soups is immediately to the left of the person who drives the Mercedes.\nClue 118: The soccer player is immediately to the left of the person who likes juggling.\n\nQuestion: What position is the athlete at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:106", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite soft drink: 7up, Pepsi, Fanta, Sprite, Canada Dry, Powerade, Gatorade.\nEveryone supports a different NBA team: Suns, Knicks, Cavaliers, Bucks, Mavericks, Warriors, Lakers.\nEveryone drives a different car: Toyota, Kia, BMW, Hyundai, Honda, Lexus, Tesla.\nEveryone has a different favorite hobby: coin collecting, knitting, gardening, astronomy, wine making, photography, fishing.\nEveryone likes a different type of gemstone: Gypsum, Dolomites, Rubies, Emeralds, Opals, Ambers, Jade.\nEveryone supports a different NFL team: Detroit Lions, Tennessee Titans, Kansas City Chiefs, Pittsburgh Steelers, Denver Broncos, Atlanta Falcons, Green Bay Packers.\nEveryone likes a different physical activity: running, paragliding, weight lifting, biking, base jumping, swimming, snorkeling.\nEveryone reads a different genre of books: spiritual, humor, history, fantasy, magical realism, romance, short story.\nEveryone likes a different type of flower: orchids, daisies, dahlias, roses, carnations, daffodils, peonies.\nEveryone has a different name: Doug, Rajiv, Michael, Yair, Karan, Ahmed, Tao.\nEveryone has a different profession: artist, architect, chef, spy, singer, engineer, teacher.\nEveryone likes a different fruit: raspberries, pears, oranges, mangoes, grapes, apples, blueberries.\nEveryone drives a different motorbike: Suzuki, Harley-Davidson, Bajaj, Benelli, Ducati, Buell, Piaggio.\nEveryone likes a different food: fried rice, kebabs, burgers, curry, pasta, tacos, noodles.\nEveryone drinks a different drink: milk, iced tea, water, beer, orange juice, coffee, lemonade.\nEveryone is a different nationality: Sri Lankan, Swede, Israeli, Nepali, German, Indian, Chilean.\nEveryone owns a different handbag brand: Coach, Balenciaga, Dolce and Gabbana, Gucci, Tory Burch, Kate Spade, Tumi.\nEveryone smokes a different cigarette: Pall Mall, Blue Master, Marlboro, Camel, Winston, Dunhill, Newport.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Camel is immediately to the left of the person who smokes Newport.\nClue 2: The architect is the person who drinks coffee.\nClue 3: The person who eats pears is at one of the ends.\nClue 4: The person who owns a Gucci is the person who likes biking.\nClue 5: The person who likes base jumping is immediately to the left of the person who drives the Bajaj.\nClue 6: The person who eats oranges is the person who likes dahlias.\nClue 7: The person who reads short story books is somewhere in between the person who smokes Marlboro and the Indian in that order.\nClue 8: The person who supports the Atlanta Falcons is somewhere to the left of the person who drinks orange juice.\nClue 9: The person who likes roses is somewhere in between the person who reads spiritual books and the person who reads magical realism books in that order.\nClue 10: The person who likes knitting is at one of the ends.\nClue 11: The person who likes Gypsum is the person who likes biking.\nClue 12: Rajiv is the person who eats apples.\nClue 13: The person who likes carnations is the person who likes noodles.\nClue 14: The person who likes biking is next to the person who likes swimming.\nClue 15: The person who likes gardening is next to the person who likes Opals.\nClue 16: The person who likes Fanta is somewhere in between the person who likes coin collecting and the person who likes Pepsi in that order.\nClue 17: The person who drives the Lexus is the person who eats grapes.\nClue 18: The person who supports the Pittsburgh Steelers is not Yair.\nClue 19: The person who smokes Camel is immediately to the left of the person who eats raspberries.\nClue 20: Ahmed is not the person who supports the Atlanta Falcons.\nClue 21: The person who drinks iced tea is not Doug.\nClue 22: The person who supports the Bucks is the person who likes 7up.\nClue 23: The spy is next to the person who smokes Winston.\nClue 24: The person who drinks beer is immediately to the left of Karan.\nClue 25: The person who smokes Winston is not the spy.\nClue 26: The person who supports the Knicks is somewhere in between the person who supports the Bucks and the person who likes weight lifting in that order.\nClue 27: The person who drinks iced tea is the person who eats blueberries.\nClue 28: The person who likes tacos is somewhere in between the person who likes daisies and the person who drives the Tesla in that order.\nClue 29: The person who drives the Ducati is immediately to the left of the person who drives the Harley-Davidson.\nClue 30: The person who drinks milk is not the person who drives the Honda.\nClue 31: The person who smokes Newport is not the person who drives the Hyundai.\nClue 32: The person who likes burgers is somewhere in between the person who reads history books and the person who drinks coffee in that order.\nClue 33: The person who likes fishing is at one of the ends.\nClue 34: Tao is the person who smokes Dunhill.\nClue 35: The person who likes Dolomites is immediately to the left of the person who likes Rubies.\nClue 36: The person who supports the Green Bay Packers is the person who eats raspberries.\nClue 37: The person who reads romance books is next to the person who eats apples.\nClue 38: The person who drinks iced tea is the person who likes carnations.\nClue 39: The person who likes peonies is not the person who smokes Camel.\nClue 40: The person who drives the Ducati is next to the person who likes 7up.\nClue 41: The person who supports the Green Bay Packers is not the person who drives the Hyundai.\nClue 42: The person who likes Pepsi is the person who supports the Lakers.\nClue 43: The person who supports the Detroit Lions is somewhere in between the person who smokes Dunhill and the person who eats mangoes in that order.\nClue 44: The person who likes pasta is the person who eats oranges.\nClue 45: The person who supports the Detroit Lions is the person who eats blueberries.\nClue 46: The person who eats pears is at one of the ends.\nClue 47: The spy is Doug.\nClue 48: The person who supports the Warriors is somewhere in between the person who likes biking and the person who likes astronomy in that order.\nClue 49: Rajiv is not the Indian.\nClue 50: The spy is the Sri Lankan.\nClue 51: The person who drives the Bajaj is at one of the ends.\nClue 52: The person who likes tacos is not the person who reads romance books.\nClue 53: Doug is immediately to the left of the German.\nClue 54: The person who likes daisies is somewhere to the left of the architect.\nClue 55: The engineer is immediately to the left of the person who drinks orange juice.\nClue 56: The person who likes Ambers is somewhere to the left of the person who owns a Tory Burch.\nClue 57: The person who drinks lemonade is the person who eats pears.\nClue 58: The person who likes swimming is immediately to the left of the person who owns a Balenciaga.\nClue 59: The person who owns a Balenciaga is somewhere in between the person who likes Jade and the person who likes wine making in that order.\nClue 60: The teacher is immediately to the left of Michael.\nClue 61: The person who likes roses is not the person who reads spiritual books.\nClue 62: The spy is the person who likes daisies.\nClue 63: The person who likes gardening is the person who drives the Suzuki.\nClue 64: The Chilean is the person who reads short story books.\nClue 65: The person who supports the Green Bay Packers is immediately to the left of Rajiv.\nClue 66: The person who owns a Coach is immediately to the left of the person who likes Rubies.\nClue 67: Tao is not the person who supports the Tennessee Titans.\nClue 68: The person who likes dahlias is at one of the ends.\nClue 69: The person who supports the Atlanta Falcons is somewhere in between the person who smokes Marlboro and the person who likes kebabs in that order.\nClue 70: The person who smokes Newport is immediately to the left of Rajiv.\nClue 71: The person who supports the Tennessee Titans is somewhere in between the engineer and the person who likes pasta in that order.\nClue 72: The person who supports the Mavericks is the person who drives the Buell.\nClue 73: The person who likes Gypsum is at one of the ends.\nClue 74: The person who likes gardening is somewhere to the left of the person who likes Emeralds.\nClue 75: The person who eats pears is the person who likes curry.\nClue 76: The person who reads spiritual books is somewhere in between the person who supports the Detroit Lions and the person who smokes Pall Mall in that order.\nClue 77: Michael is the person who supports the Denver Broncos.\nClue 78: The person who supports the Atlanta Falcons is the person who eats grapes.\nClue 79: The person who smokes Blue Master is the person who eats oranges.\nClue 80: The architect is at one of the ends.\nClue 81: Michael is at one of the ends.\nClue 82: The person who likes tacos is somewhere in between Ahmed and the Indian in that order.\nClue 83: The artist is the Swede.\nClue 84: The person who drinks milk is not the person who reads history books.\nClue 85: The person who drives the Toyota is Michael.\nClue 86: The person who eats grapes is immediately to the left of the person who likes kebabs.\nClue 87: The person who drives the Tesla is somewhere in between the person who likes tacos and the person who smokes Blue Master in that order.\nClue 88: The teacher is next to the person who likes roses.\nClue 89: The person who owns a Dolce and Gabbana is immediately to the left of the person who owns a Tory Burch.\nClue 90: The Sri Lankan is Doug.\nClue 91: Tao is at one of the ends.\nClue 92: The person who drives the Kia is the person who likes roses.\nClue 93: The person who drives the Tesla is somewhere to the left of the person who likes dahlias.\nClue 94: The person who likes swimming is the person who likes Sprite.\nClue 95: The person who likes gardening is immediately to the left of the person who drives the Benelli.\nClue 96: The person who likes fishing is somewhere to the left of the person who supports the Bucks.\nClue 97: The person who smokes Pall Mall is somewhere to the left of the person who likes pasta.\nClue 98: The person who likes paragliding is the person who supports the Suns.\nClue 99: The person who supports the Mavericks is immediately to the left of the person who supports the Lakers.\nClue 100: The person who drinks orange juice is somewhere to the left of Michael.\nClue 101: The person who supports the Kansas City Chiefs is not Rajiv.\nClue 102: The person who reads romance books is the person who supports the Denver Broncos.\nClue 103: The person who likes Gatorade is the person who likes running.\nClue 104: The person who supports the Mavericks is the person who likes base jumping.\nClue 105: The person who likes Gatorade is somewhere in between the person at the 3rd position and the person who likes paragliding in that order.\nClue 106: The teacher is the person who eats apples.\nClue 107: The person who reads history books is not Yair.\nClue 108: The person who owns a Kate Spade is the person who likes Rubies.\nClue 109: The person who likes gardening is somewhere in between the person who drives the Ducati and the person who likes wine making in that order.\nClue 110: The person who likes photography is immediately to the left of the person who drives the Bajaj.\nClue 111: Tao is at one of the ends.\nClue 112: Rajiv is the person who reads magical realism books.\nClue 113: The person who owns a Balenciaga is the person who likes 7up.\nClue 114: The person who drinks water is somewhere to the left of the person who drinks orange juice.\nClue 115: The person who drinks water is immediately to the left of the person who likes burgers.\nClue 116: The person who drives the Buell is somewhere to the left of the person who owns a Kate Spade.\nClue 117: The person who drinks iced tea is not the person who drives the Toyota.\nClue 118: The person who eats apples is somewhere to the left of the architect.\nClue 119: The person who smokes Winston is immediately to the left of the person who supports the Pittsburgh Steelers.\nClue 120: The person who likes tacos is somewhere in between the person who supports the Pittsburgh Steelers and the teacher in that order.\nClue 121: The person who likes kebabs is next to the person who likes tacos.\nClue 122: The person who likes burgers is the person who drives the Tesla.\nClue 123: The person who drinks beer is the spy.\nClue 124: The person who likes weight lifting is the person who supports the Lakers.\nClue 125: The person who likes Powerade is the person who likes photography.\nClue 126: The person who eats blueberries is somewhere in between the person who supports the Kansas City Chiefs and the engineer in that order.\nClue 127: The person who smokes Marlboro is somewhere to the left of the architect.\nClue 128: The person who likes fried rice is not the person who drinks water.\nClue 129: The person who supports the Mavericks is next to the person who drives the Benelli.\nClue 130: The person who drinks iced tea is Ahmed.\nClue 131: The person who drives the Tesla is somewhere in between the person who supports the Green Bay Packers and the person who smokes Blue Master in that order.\nClue 132: The person who reads magical realism books is somewhere in between the person who smokes Newport and the person who smokes Blue Master in that order.\nClue 133: The person who supports the Cavaliers is at one of the ends.\nClue 134: The person who drives the Hyundai is somewhere to the left of the person who drinks beer.\nClue 135: The person who eats raspberries is somewhere to the left of the architect.\nClue 136: The person who drives the Tesla is the person who eats apples.\nClue 137: Karan is not the chef.\nClue 138: The person who supports the Denver Broncos is the person who smokes Blue Master.\nClue 139: The person who smokes Winston is immediately to the left of the person who likes daisies.\nClue 140: The person who likes fried rice is somewhere in between the person who drinks iced tea and Rajiv in that order.\nClue 141: The person who drinks water is immediately to the left of the person who drives the Tesla.\nClue 142: The person who likes orchids is somewhere in between the person who drives the Kia and the person who smokes Blue Master in that order.\n\nQuestion: What position is the person who owns a Kate Spade at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:108", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone drives a different car: Kia, BMW, Toyota, Mercedes, Ferrari, Ford.\nEveryone has a different favorite hobby: photography, skiing, quilting, stamp collecting, juggling, knitting.\nEveryone supports a different NBA team: Bulls, Knicks, Lakers, Celtics, Bucks, Warriors.\nEveryone supports a different NFL team: Philadelphia Eagles, Pittsburgh Steelers, Buffalo Bills, Cincinnati Bengals, Miami Dolphins, Arizona Cardinals.\nEveryone likes a different type of gemstone: Corals, Topaz, Amethysts, Sapphires, Moonstones, Obsidians.\nEveryone likes a different food: kebabs, pizza, sandwiches, pasta, tacos, noodles.\nEveryone likes a different fruit: raspberries, blackberries, mangoes, oranges, bananas, kiwis.\nEveryone is a different nationality: Sri Lankan, Nepali, Japanese, Dane, Belarusian, Swiss.\nEveryone likes a different favorite animal: llamas, squids, worms, carp, canaries, viperfish.\nEveryone smokes a different cigarette: Winston, Davidoff, Dunhill, Salem, Marlboro, Newport.\nEveryone owns a different handbag brand: Tumi, Gucci, Balenciaga, Kate Spade, Dolce and Gabbana, Tory Burch.\nEveryone has a different favorite soft drink: Fanta, Mountain Dew, Pepsi, Sprite, Gatorade, Powerade.\nEveryone drinks a different drink: hot chocolate, beer, iced coffee, iced tea, water, lemonade.\nEveryone likes a different type of flower: daffodils, peonies, orchids, roses, dahlias, marigolds.\nEveryone plays a different musical instrument: piano, oboe, cello, guitar, violin, saxophone.\nEveryone drives a different motorbike: Suzuki, Ducati, Piaggio, Kawasaki, Benelli, Harley-Davidson.\nEveryone has a different profession: spy, artist, singer, chef, athlete, engineer.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who owns a Gucci is the person who supports the Celtics.\nClue 2: The person who drinks lemonade is the person who eats raspberries.\nClue 3: The person who supports the Miami Dolphins is immediately to the left of the person who owns a Tory Burch.\nClue 4: The person who likes Amethysts is next to the person who likes Topaz.\nClue 5: The engineer is the person who likes orchids.\nClue 6: The saxophone player is the person who likes Sprite.\nClue 7: The person who likes carp is somewhere to the left of the person who likes sandwiches.\nClue 8: The person who drives the Ferrari is somewhere in between the chef and the person who drinks beer in that order.\nClue 9: The person who smokes Marlboro is not the person who likes Topaz.\nClue 10: The violin player is the person who smokes Davidoff.\nClue 11: The person who owns a Dolce and Gabbana is the person who drinks lemonade.\nClue 12: The person who owns a Gucci is not the person who likes llamas.\nClue 13: The person who likes kebabs is the person who eats kiwis.\nClue 14: The cello player is next to the piano player.\nClue 15: The person who likes Moonstones is the person who drives the Harley-Davidson.\nClue 16: The person who likes llamas is the singer.\nClue 17: The person who owns a Gucci is next to the engineer.\nClue 18: The person who drives the Ford is somewhere in between the person who likes marigolds and the singer in that order.\nClue 19: The person who supports the Buffalo Bills is not the person who drives the Mercedes.\nClue 20: The person who eats raspberries is the person who drives the Mercedes.\nClue 21: The person who drives the Kia is somewhere in between the person who owns a Dolce and Gabbana and the person who drinks iced tea in that order.\nClue 22: The person who likes Topaz is next to the person who likes Sapphires.\nClue 23: The person who likes photography is the person who likes Moonstones.\nClue 24: The person who supports the Bucks is immediately to the left of the person who eats mangoes.\nClue 25: The person who likes Amethysts is the person who drives the Piaggio.\nClue 26: The person who likes tacos is somewhere in between the person who eats oranges and the person who supports the Pittsburgh Steelers in that order.\nClue 27: The person who owns a Tumi is not the person who likes daffodils.\nClue 28: The person who eats oranges is at one of the ends.\nClue 29: The person who supports the Cincinnati Bengals is the person who supports the Warriors.\nClue 30: The person who likes kebabs is next to the person who likes sandwiches.\nClue 31: The person who drinks lemonade is somewhere in between the person who likes squids and the person who likes worms in that order.\nClue 32: The person who supports the Bulls is not the person who owns a Tumi.\nClue 33: The person who drives the Piaggio is somewhere in between the person who drives the Harley-Davidson and the person who likes Pepsi in that order.\nClue 34: The person who supports the Cincinnati Bengals is immediately to the left of the person who owns a Gucci.\nClue 35: The person who drives the BMW is somewhere to the left of the person who owns a Gucci.\nClue 36: The person who eats blackberries is not the person who drinks water.\nClue 37: The person who supports the Bulls is next to the Japanese.\nClue 38: The person who eats blackberries is somewhere in between the person who eats bananas and the person who supports the Buffalo Bills in that order.\nClue 39: The person who owns a Kate Spade is not the person who eats bananas.\nClue 40: The person who supports the Arizona Cardinals is the person who eats oranges.\nClue 41: The person who eats oranges is not the person who likes peonies.\nClue 42: The person who supports the Cincinnati Bengals is somewhere in between the person who likes marigolds and the person who drives the Kia in that order.\nClue 43: The person who smokes Marlboro is the person who likes Gatorade.\nClue 44: The person who likes worms is somewhere to the left of the person who likes llamas.\nClue 45: The chef is next to the Japanese.\nClue 46: The person who supports the Knicks is at one of the ends.\nClue 47: The person who drives the Ford is somewhere to the left of the person who eats kiwis.\nClue 48: The Dane is somewhere to the left of the person who likes pizza.\nClue 49: The person who owns a Tory Burch is somewhere in between the spy and the singer in that order.\nClue 50: The person who supports the Miami Dolphins is not the Dane.\nClue 51: The person who likes Obsidians is next to the person who likes Moonstones.\nClue 52: The person who owns a Kate Spade is the person who likes marigolds.\nClue 53: The person who supports the Miami Dolphins is immediately to the left of the athlete.\nClue 54: The person who likes pasta is somewhere in between the person who drinks iced coffee and the person who likes roses in that order.\nClue 55: The person who supports the Lakers is the person who likes sandwiches.\nClue 56: The Belarusian is the person who drives the BMW.\nClue 57: The person who eats bananas is somewhere to the left of the person who owns a Balenciaga.\nClue 58: The person who smokes Dunhill is somewhere in between the person who likes Moonstones and the person who likes Pepsi in that order.\nClue 59: The person who owns a Gucci is somewhere in between the person who supports the Warriors and the person who supports the Miami Dolphins in that order.\nClue 60: The person who likes viperfish is somewhere in between the person who eats raspberries and the person who likes carp in that order.\nClue 61: The person who drives the BMW is the Belarusian.\nClue 62: The person who drinks iced tea is not the person who supports the Bulls.\nClue 63: The person who drinks iced coffee is the person who likes squids.\nClue 64: The person who owns a Gucci is somewhere to the left of the person who likes sandwiches.\nClue 65: The person who likes Topaz is somewhere to the left of the person who likes Pepsi.\nClue 66: The person who likes daffodils is next to the person who owns a Tumi.\nClue 67: The person who supports the Cincinnati Bengals is somewhere to the left of the person who eats mangoes.\nClue 68: The person who supports the Knicks is next to the person who supports the Lakers.\nClue 69: The person who drinks hot chocolate is next to the person who likes daffodils.\nClue 70: The person who likes tacos is next to the person who supports the Cincinnati Bengals.\nClue 71: The person who smokes Dunhill is immediately to the left of the person who likes Powerade.\nClue 72: The person who eats oranges is the artist.\nClue 73: The person who likes quilting is at one of the ends.\nClue 74: The saxophone player is next to the person who likes Fanta.\nClue 75: The person who eats bananas is not the person who owns a Kate Spade.\nClue 76: The person who eats raspberries is not the person who likes dahlias.\nClue 77: The person who likes orchids is immediately to the left of the person who drives the Ford.\nClue 78: The person who drives the Ford is the Dane.\nClue 79: The person who likes worms is not the person who supports the Miami Dolphins.\nClue 80: The person who likes tacos is not the person who eats kiwis.\nClue 81: The person who supports the Arizona Cardinals is not the person who likes peonies.\nClue 82: The person who likes Sprite is at one of the ends.\nClue 83: The person who drives the BMW is not the person who drinks beer.\nClue 84: The person who supports the Arizona Cardinals is at one of the ends.\nClue 85: The person who supports the Celtics is somewhere in between the person who supports the Warriors and the person who supports the Pittsburgh Steelers in that order.\nClue 86: The person who eats mangoes is the person who likes daffodils.\nClue 87: The person who eats blackberries is somewhere in between the person who owns a Dolce and Gabbana and the person who supports the Buffalo Bills in that order.\nClue 88: The person who supports the Miami Dolphins is the person who supports the Bucks.\nClue 89: The person at the 1st position is somewhere to the left of the person who likes skiing.\nClue 90: The person who eats oranges is at one of the ends.\nClue 91: The person who likes skiing is at one of the ends.\nClue 92: The person who drinks iced coffee is at one of the ends.\nClue 93: The person who likes orchids is next to the person who likes squids.\nClue 94: The person who supports the Knicks is not the person who owns a Balenciaga.\nClue 95: The person who eats mangoes is somewhere to the left of the person who likes llamas.\nClue 96: The person who likes juggling is next to the person who likes Sprite.\nClue 97: The athlete is not the person who likes noodles.\nClue 98: The person who likes viperfish is somewhere to the left of the person who supports the Miami Dolphins.\nClue 99: The person who drives the BMW is the person who supports the Bulls.\nClue 100: The person who owns a Balenciaga is the person who drives the Ferrari.\nClue 101: The person who smokes Newport is not the person who drives the Ducati.\nClue 102: The Belarusian is the person who owns a Kate Spade.\nClue 103: The person who drinks water is next to the person who drinks lemonade.\nClue 104: The person who likes canaries is immediately to the left of the person who supports the Philadelphia Eagles.\nClue 105: The person who smokes Winston is at one of the ends.\nClue 106: The person who supports the Knicks is not the person who likes worms.\nClue 107: The person who likes Corals is immediately to the left of the violin player.\nClue 108: The person who supports the Cincinnati Bengals is next to the person who drives the Ford.\nClue 109: The person who likes skiing is the cello player.\nClue 110: The Nepali is at one of the ends.\nClue 111: The chef is immediately to the left of the person who supports the Miami Dolphins.\nClue 112: The person who likes llamas is at one of the ends.\nClue 113: The Nepali is not the person who drives the Mercedes.\nClue 114: The person who likes squids is somewhere to the left of the person who likes worms.\nClue 115: The Dane is somewhere in between the person who supports the Arizona Cardinals and the person who drives the Kia in that order.\nClue 116: The person who supports the Buffalo Bills is somewhere in between the person who likes carp and the Nepali in that order.\nClue 117: The person who supports the Miami Dolphins is not the person who drives the BMW.\nClue 118: The person who likes carp is the person who drives the Ferrari.\nClue 119: The person who supports the Celtics is somewhere in between the person who likes canaries and the person who drinks iced tea in that order.\nClue 120: The piano player is the person who drives the Kawasaki.\nClue 121: The person who likes daffodils is not the person who supports the Arizona Cardinals.\nClue 122: The person who likes juggling is somewhere in between the person who smokes Newport and the person who drives the Benelli in that order.\nClue 123: The person who drives the Harley-Davidson is the oboe player.\nClue 124: The person who owns a Dolce and Gabbana is somewhere to the left of the person who likes carp.\nClue 125: The person who likes sandwiches is somewhere in between the person who eats raspberries and the person who likes llamas in that order.\nClue 126: The chef is not the person who drives the Kia.\nClue 127: The piano player is the person who likes stamp collecting.\nClue 128: The Sri Lankan is the person who drives the Ferrari.\nClue 129: The Swiss is not the person who eats kiwis.\n\nQuestion: What position is the person who likes Fanta at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:112", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone likes a different favorite animal: worms, monkeys, storks, flamingoes, dragonflies.\nEveryone has a different favorite hobby: baking, pottery, sailing, camping, painting.\nEveryone drives a different car: Mercedes, Honda, Ford, Audi, BMW.\nEveryone drives a different motorbike: Bajaj, Kawasaki, Yamaha, Honda, Harley-Davidson.\nEveryone likes a different fruit: blackberries, blueberries, apples, raspberries, kiwis.\nEveryone supports a different NBA team: Knicks, Bucks, Lakers, Cavaliers, Celtics.\nEveryone likes a different physical activity: bungee jumping, weight lifting, skiing, biking, snorkeling.\nEveryone drinks a different drink: tea, milk, beer, hot chocolate, orange juice.\nEveryone owns a different handbag brand: Dolce and Gabbana, Tumi, Michael Kors, Balenciaga, Versace.\nEveryone likes a different type of gemstone: Amethysts, Obsidians, Pearls, Dolomites, Aquamarines.\nEveryone is a different nationality: Indian, Croatian, Turkish, Mexican, Iranian.\nEveryone has a different profession: engineer, programmer, writer, architect, chef.\nEveryone lives in a different colored house: magenta, indigo, grey, green, turquoise.\nEveryone supports a different NFL team: Detroit Lions, Arizona Cardinals, Cincinnati Bengals, New England Patriots, Pittsburgh Steelers.\nEveryone plays a different musical instrument: piano, harp, violin, saxophone, drums.\nEveryone likes a different food: noodles, pizza, tacos, pasta, sandwiches.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Arizona Cardinals is at one of the ends.\nClue 2: The person who supports the Arizona Cardinals is not the person who drives the Yamaha.\nClue 3: The person who likes flamingoes is the piano player.\nClue 4: The person who supports the Bucks is somewhere in between the person who supports the Knicks and the person who likes storks in that order.\nClue 5: The person who drives the Bajaj is not the person who likes flamingoes.\nClue 6: The architect is somewhere to the left of the engineer.\nClue 7: The person who likes baking is somewhere in between the writer and the engineer in that order.\nClue 8: The person who likes monkeys is not the person who supports the Pittsburgh Steelers.\nClue 9: The person who supports the Cavaliers is at one of the ends.\nClue 10: The person who eats raspberries is the harp player.\nClue 11: The person who likes tacos is not the writer.\nClue 12: The person who supports the New England Patriots is somewhere in between the saxophone player and the person who drives the Harley-Davidson in that order.\nClue 13: The person who owns a Michael Kors is immediately to the left of the person who owns a Versace.\nClue 14: The person who likes sandwiches is not the person who eats blackberries.\nClue 15: The person who lives in the green house is next to the person who lives in the grey house.\nClue 16: The person at the 1st position is the person who lives in the turquoise house.\nClue 17: The person who eats apples is the drums player.\nClue 18: The person who drives the Honda is somewhere to the left of the person who drives the Honda.\nClue 19: The person who likes noodles is the person who supports the Arizona Cardinals.\nClue 20: The saxophone player is the person who drives the Kawasaki.\nClue 21: The person who likes pizza is somewhere in between the person who likes sailing and the person who likes noodles in that order.\nClue 22: The violin player is not the person who drives the Bajaj.\nClue 23: The person who supports the Pittsburgh Steelers is not the person who likes sailing.\nClue 24: The writer is somewhere to the left of the person who likes painting.\nClue 25: The person who eats blueberries is immediately to the left of the person who supports the New England Patriots.\nClue 26: The person who eats blackberries is not the drums player.\nClue 27: The harp player is next to the person who likes bungee jumping.\nClue 28: The person who drives the BMW is the person who likes sailing.\nClue 29: The person who likes sailing is somewhere to the left of the person who likes painting.\nClue 30: The person who drinks beer is at one of the ends.\nClue 31: The person who supports the Celtics is not the person who drives the Mercedes.\nClue 32: The person who likes sandwiches is next to the person who likes monkeys.\nClue 33: The violin player is next to the person who likes biking.\nClue 34: The person who drives the Ford is at one of the ends.\nClue 35: The person who lives in the magenta house is next to the Indian.\nClue 36: The person who supports the New England Patriots is not the person who drives the Ford.\nClue 37: The person who lives in the magenta house is the Iranian.\nClue 38: The violin player is immediately to the left of the person who supports the Cincinnati Bengals.\nClue 39: The person who supports the Celtics is the programmer.\nClue 40: The person who likes bungee jumping is next to the person who likes skiing.\nClue 41: The person who likes Dolomites is the person who owns a Tumi.\nClue 42: The person who supports the Bucks is immediately to the left of the person who drives the Harley-Davidson.\nClue 43: The person who eats blueberries is not the person who supports the Pittsburgh Steelers.\nClue 44: The person who likes Amethysts is the person who drinks orange juice.\nClue 45: The violin player is not the person who supports the Bucks.\nClue 46: The person who supports the Arizona Cardinals is not the person who supports the Bucks.\nClue 47: The person who eats kiwis is somewhere in between the person who likes sailing and the person who supports the Celtics in that order.\nClue 48: The person who supports the New England Patriots is the chef.\nClue 49: The person who likes dragonflies is at one of the ends.\nClue 50: The person who likes dragonflies is the person who drives the Bajaj.\nClue 51: The person who supports the Bucks is immediately to the left of the person who supports the Celtics.\nClue 52: The person who likes sailing is immediately to the left of the person who drives the Honda.\nClue 53: The programmer is the person who likes camping.\nClue 54: The engineer is the person who likes flamingoes.\nClue 55: The person who likes flamingoes is next to the person who drives the Yamaha.\nClue 56: The person who drives the Yamaha is somewhere in between the person who supports the Detroit Lions and the person who supports the Cincinnati Bengals in that order.\nClue 57: The person who eats blackberries is somewhere in between the saxophone player and the person who drives the Harley-Davidson in that order.\nClue 58: The person who eats raspberries is not the person who supports the Detroit Lions.\nClue 59: The person who eats apples is not the person who supports the Cincinnati Bengals.\nClue 60: The person who likes painting is not the writer.\nClue 61: The person who drives the Harley-Davidson is at one of the ends.\nClue 62: The person who likes weight lifting is not the programmer.\nClue 63: The person who drives the Ford is the person who likes pottery.\nClue 64: The person who likes noodles is not the person who eats raspberries.\nClue 65: The person who supports the New England Patriots is the person who likes baking.\nClue 66: The person who supports the Lakers is not the architect.\nClue 67: The person who likes Pearls is immediately to the left of the person who drinks hot chocolate.\nClue 68: The architect is somewhere to the left of the drums player.\nClue 69: The person who likes bungee jumping is not the chef.\nClue 70: The person who likes biking is immediately to the left of the person who drives the Harley-Davidson.\nClue 71: The person who likes worms is somewhere in between the person who drives the Kawasaki and the person who drives the Audi in that order.\nClue 72: The person who owns a Dolce and Gabbana is next to the person who drinks tea.\nClue 73: The person who drives the BMW is somewhere in between the person who drives the Bajaj and the programmer in that order.\nClue 74: The person who drives the BMW is the person who likes monkeys.\nClue 75: The person who eats kiwis is not the person who likes pasta.\nClue 76: The person who likes Amethysts is somewhere in between the person who lives in the turquoise house and the person who lives in the green house in that order.\nClue 77: The person who likes bungee jumping is not the person who drives the Bajaj.\nClue 78: The person who eats apples is next to the person who drives the Mercedes.\nClue 79: The person who eats raspberries is somewhere to the left of the person who drives the Yamaha.\nClue 80: The person who eats kiwis is somewhere to the left of the person who likes storks.\nClue 81: The person who supports the Lakers is not the drums player.\nClue 82: The person who eats blackberries is the person who likes flamingoes.\nClue 83: The drums player is at one of the ends.\nClue 84: The person who likes monkeys is not the person who drives the Yamaha.\nClue 85: The person who likes snorkeling is at one of the ends.\nClue 86: The person who drives the Ford is next to the saxophone player.\nClue 87: The harp player is not the person who likes noodles.\nClue 88: The person who eats kiwis is somewhere to the left of the person who eats blackberries.\nClue 89: The person who owns a Michael Kors is immediately to the left of the person who likes Obsidians.\nClue 90: The person who likes biking is not the architect.\nClue 91: The person who likes pottery is the person who eats raspberries.\nClue 92: The architect is immediately to the left of the writer.\nClue 93: The person who drives the Harley-Davidson is the person who eats apples.\nClue 94: The person who supports the Detroit Lions is the writer.\nClue 95: The person who likes sandwiches is at one of the ends.\nClue 96: The person at the 3rd position is the person who likes Obsidians.\nClue 97: The person who supports the Celtics is the person who likes noodles.\nClue 98: The person who likes baking is somewhere to the left of the piano player.\nClue 99: The writer is immediately to the left of the person who drives the Yamaha.\nClue 100: The person who likes tacos is the person who supports the Cincinnati Bengals.\nClue 101: The engineer is not the person who drives the Kawasaki.\nClue 102: The person who drives the Bajaj is not the person who likes camping.\nClue 103: The person who drinks orange juice is somewhere in between the person at the 3rd position and the Croatian in that order.\nClue 104: The person who supports the Arizona Cardinals is not the person who likes bungee jumping.\nClue 105: The person who supports the Cavaliers is not the person who drives the Audi.\nClue 106: The person who supports the Detroit Lions is next to the person who likes dragonflies.\nClue 107: The person who eats apples is at one of the ends.\nClue 108: The person who drinks milk is the person who likes Dolomites.\nClue 109: The person who supports the Bucks is next to the drums player.\nClue 110: The person who eats kiwis is the person who drives the Honda.\nClue 111: The writer is somewhere in between the harp player and the person who likes worms in that order.\nClue 112: The harp player is immediately to the left of the writer.\nClue 113: The person who owns a Tumi is the Croatian.\nClue 114: The person who likes sailing is not the violin player.\nClue 115: The Mexican is immediately to the left of the person who lives in the grey house.\nClue 116: The person who likes pasta is somewhere in between the person who drives the Ford and the engineer in that order.\nClue 117: The person who likes flamingoes is somewhere in between the person who likes weight lifting and the person who likes noodles in that order.\nClue 118: The person who owns a Balenciaga is next to the person who likes Obsidians.\n\nQuestion: What position is the person who lives in the indigo house at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:114", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone plays a different musical instrument: harmonica, saxophone, piano, flute, cello, oboe.\nEveryone supports a different NFL team: New England Patriots, Dallas Cowboys, San Francisco 49ers, Cincinnati Bengals, Seattle Seahawks, Chicago Bears.\nEveryone likes a different type of gemstone: Moonstones, Topaz, Diamonds, Gypsum, Ambers, Obsidians.\nEveryone likes a different type of flower: daffodils, lilies, peonies, marigolds, orchids, begonias.\nEveryone has a different name: Tao, Trinity, Doug, Maven, Rajiv, Ali.\nEveryone likes a different physical activity: base jumping, snorkeling, scuba diving, running, paragliding, biking.\nEveryone plays a different sport: table tennis, basketball, baseball, soccer, badminton, tennis.\nEveryone has a different favorite hobby: wine making, fishing, skiing, video games, photography, mixology.\nEveryone owns a different handbag brand: Versace, Balenciaga, Tumi, Tory Burch, Coach, Michael Kors.\nEveryone lives in a different colored house: black, grey, cyan, blue, pink, orange.\nEveryone reads a different genre of books: science fiction, history, magical realism, romance, mystery, humor.\nEveryone drinks a different drink: coffee, water, orange juice, beer, iced coffee, hot chocolate.\nEveryone drives a different motorbike: Harley-Davidson, Benelli, Kawasaki, Piaggio, Suzuki, Buell.\nEveryone likes a different food: pizza, curry, tacos, sandwiches, pasta, noodles.\nEveryone is a different nationality: Dane, Australian, Russian, Iranian, Spanish, Indian.\nEveryone drives a different car: Lexus, Ford, Honda, Audi, Mercedes, McLaren.\nEveryone supports a different NBA team: Celtics, Knicks, Suns, Mavericks, Cavaliers, Bulls.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drinks beer is not the person who likes scuba diving.\nClue 2: The person who drives the Buell is immediately to the left of the Australian.\nClue 3: The person who supports the Suns is the person who drives the Mercedes.\nClue 4: The person who drinks coffee is not the person who likes scuba diving.\nClue 5: The person who likes marigolds is next to the person who likes fishing.\nClue 6: The person who drives the Lexus is immediately to the left of the person who drinks hot chocolate.\nClue 7: The saxophone player is the person who supports the Mavericks.\nClue 8: The person who likes pizza is the piano player.\nClue 9: The person who drives the McLaren is somewhere to the left of the flute player.\nClue 10: The person who drives the Mercedes is next to the person who drives the Lexus.\nClue 11: The person who drives the Mercedes is the harmonica player.\nClue 12: The Australian is the oboe player.\nClue 13: The cello player is somewhere to the left of the Indian.\nClue 14: The person who owns a Balenciaga is the person who likes wine making.\nClue 15: The person who drives the McLaren is the cello player.\nClue 16: The person who supports the Bulls is immediately to the left of the person who likes Diamonds.\nClue 17: The person who reads mystery books is the person who lives in the pink house.\nClue 18: The person who likes Moonstones is at one of the ends.\nClue 19: The person who drives the Audi is at one of the ends.\nClue 20: The basketball player is next to Maven.\nClue 21: The person who drives the McLaren is next to the basketball player.\nClue 22: The person who lives in the grey house is next to the person who likes marigolds.\nClue 23: The oboe player is next to the person who drives the Ford.\nClue 24: The person who likes Diamonds is at one of the ends.\nClue 25: The person who reads history books is immediately to the left of the person who likes lilies.\nClue 26: The flute player is somewhere in between the person who drives the Harley-Davidson and the person who likes Diamonds in that order.\nClue 27: The person who drives the Buell is at one of the ends.\nClue 28: The person who drives the Harley-Davidson is somewhere in between the person who drives the Benelli and the person who drinks iced coffee in that order.\nClue 29: The person who drinks beer is somewhere to the left of the flute player.\nClue 30: The person who likes orchids is immediately to the left of the person who supports the Seattle Seahawks.\nClue 31: The person who drinks beer is somewhere in between the person who likes Moonstones and the person who likes snorkeling in that order.\nClue 32: The person who likes mixology is the person who lives in the black house.\nClue 33: The cello player is the person who supports the Cavaliers.\nClue 34: The Australian is not the cello player.\nClue 35: The person who drinks water is not the person who likes Diamonds.\nClue 36: The person who owns a Coach is somewhere in between the person who supports the New England Patriots and the person who reads history books in that order.\nClue 37: Tao is not the person who likes base jumping.\nClue 38: The person who drives the Suzuki is somewhere in between the Iranian and the piano player in that order.\nClue 39: The person who likes pasta is immediately to the left of the person who supports the Cavaliers.\nClue 40: The person who drives the McLaren is not the person who supports the Knicks.\nClue 41: The person who drinks coffee is the person who likes paragliding.\nClue 42: The person who drives the Benelli is the person who likes Gypsum.\nClue 43: The person who supports the Celtics is the piano player.\nClue 44: The table tennis player is the person who drives the McLaren.\nClue 45: The person who reads magical realism books is at one of the ends.\nClue 46: The saxophone player is somewhere to the left of the Spanish.\nClue 47: Tao is the person who supports the Suns.\nClue 48: The person who supports the Celtics is at one of the ends.\nClue 49: The person who supports the San Francisco 49ers is the person who likes marigolds.\nClue 50: The person who drinks water is immediately to the left of the person who drives the Lexus.\nClue 51: The person who drinks water is not the person who drives the Audi.\nClue 52: The person who likes Ambers is the person who drinks water.\nClue 53: Tao is immediately to the left of the person who drives the Kawasaki.\nClue 54: The person who drives the Lexus is immediately to the left of the person who likes running.\nClue 55: The Indian is somewhere to the left of the badminton player.\nClue 56: The person who likes Topaz is somewhere to the left of the person who drives the Piaggio.\nClue 57: The person who likes pizza is not the person who drinks iced coffee.\nClue 58: Doug is at one of the ends.\nClue 59: The Dane is somewhere in between the cello player and the person who drives the Lexus in that order.\nClue 60: The person who drives the Audi is the person who supports the Celtics.\nClue 61: The person who drives the Honda is the oboe player.\nClue 62: The person who reads humor books is the person who likes skiing.\nClue 63: The flute player is immediately to the left of the piano player.\nClue 64: The person who supports the Celtics is next to the person who likes noodles.\nClue 65: The person who owns a Versace is the person who supports the Dallas Cowboys.\nClue 66: The person who supports the Seattle Seahawks is immediately to the left of the person who lives in the pink house.\nClue 67: The person who drinks hot chocolate is not the person who supports the Suns.\nClue 68: The person who likes paragliding is the Iranian.\nClue 69: The Russian is at one of the ends.\nClue 70: The harmonica player is somewhere in between the table tennis player and the baseball player in that order.\nClue 71: The person who likes wine making is immediately to the left of the person who owns a Tumi.\nClue 72: The person who likes sandwiches is the person who drinks coffee.\nClue 73: The person who likes scuba diving is the person who likes Obsidians.\nClue 74: The person who supports the Celtics is Doug.\nClue 75: The person who likes paragliding is not Tao.\nClue 76: The person who likes photography is next to the person who likes wine making.\nClue 77: The person who likes Gypsum is next to the person who likes Ambers.\nClue 78: The person who drives the Suzuki is not the piano player.\nClue 79: The piano player is at one of the ends.\nClue 80: The person who likes paragliding is at one of the ends.\nClue 81: The person who drinks hot chocolate is not the person who likes scuba diving.\nClue 82: The person who drinks hot chocolate is at one of the ends.\nClue 83: The person who drives the Benelli is not the person who likes noodles.\nClue 84: The person who drinks iced coffee is somewhere to the left of the Russian.\nClue 85: The person who drives the Mercedes is immediately to the left of the person who drinks iced coffee.\nClue 86: The harmonica player is somewhere in between the tennis player and the person who likes Topaz in that order.\nClue 87: The person who lives in the orange house is the person who reads humor books.\nClue 88: The person at the 5th position is somewhere to the left of the person who likes photography.\nClue 89: The person who owns a Tory Burch is at one of the ends.\nClue 90: The person who drives the Kawasaki is immediately to the left of Doug.\nClue 91: The person who lives in the cyan house is the person who owns a Tory Burch.\nClue 92: The person who supports the Suns is immediately to the left of the baseball player.\nClue 93: The person who likes Moonstones is the person who likes sandwiches.\nClue 94: The Indian is next to the piano player.\nClue 95: The person who supports the Suns is not the person who drives the Audi.\nClue 96: The person who likes curry is not the person who drives the Audi.\nClue 97: The person who likes running is next to the person who likes noodles.\nClue 98: The person who drives the Harley-Davidson is not the person who likes Moonstones.\nClue 99: The oboe player is immediately to the left of the person who drinks beer.\nClue 100: The person who drives the McLaren is somewhere in between the person who drives the Honda and the person who drives the Harley-Davidson in that order.\nClue 101: The person who likes orchids is next to the person who lives in the black house.\nClue 102: The person who lives in the orange house is immediately to the left of the person who owns a Balenciaga.\nClue 103: The person who likes begonias is somewhere in between the person who reads science fiction books and the person who supports the Dallas Cowboys in that order.\nClue 104: The person who drives the Benelli is immediately to the left of the person who drives the Mercedes.\nClue 105: The person who likes Obsidians is somewhere in between the person who drives the Ford and Maven in that order.\nClue 106: The person who likes Moonstones is not the person who drives the Suzuki.\nClue 107: Trinity is the Australian.\nClue 108: The person who likes Ambers is somewhere in between the person who drinks beer and the person who drinks iced coffee in that order.\nClue 109: The person who drives the Harley-Davidson is somewhere in between the person who likes Obsidians and the person who likes noodles in that order.\nClue 110: The person who likes lilies is next to the person who likes peonies.\nClue 111: The person who likes scuba diving is somewhere to the left of the person who supports the Suns.\nClue 112: The person who owns a Balenciaga is somewhere to the left of the person who supports the Cincinnati Bengals.\nClue 113: The piano player is not the person who likes snorkeling.\nClue 114: The person who likes noodles is not the person who drinks beer.\nClue 115: The person who likes sandwiches is immediately to the left of the person who supports the Knicks.\nClue 116: The Dane is immediately to the left of the person who drives the Lexus.\nClue 117: The person who reads humor books is the person who supports the Dallas Cowboys.\nClue 118: The person who likes noodles is somewhere in between the Iranian and the person who likes Diamonds in that order.\nClue 119: The table tennis player is next to the person who likes scuba diving.\nClue 120: Ali is immediately to the left of the tennis player.\nClue 121: The harmonica player is somewhere in between the person who drinks beer and the person who drinks iced coffee in that order.\nClue 122: The person who likes peonies is the person who likes wine making.\nClue 123: The person who drives the Audi is the Russian.\nClue 124: The person who likes Gypsum is somewhere in between the person who drinks orange juice and the person who likes biking in that order.\nClue 125: The person who drives the Ford is at one of the ends.\nClue 126: The saxophone player is at one of the ends.\nClue 127: The person who supports the Seattle Seahawks is immediately to the left of the person who likes photography.\n\nQuestion: What position is the person who likes begonias at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:115", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone likes a different food: burgers, sandwiches, fried rice, tacos, soups.\nEveryone drives a different car: Ferrari, Honda, Lexus, Ford, Mercedes.\nEveryone supports a different NFL team: Baltimore Ravens, Carolina Panthers, Cincinnati Bengals, Green Bay Packers, New England Patriots.\nEveryone smokes a different cigarette: Camel, Davidoff, Dunhill, Blue Master, Pall Mall.\nEveryone drinks a different drink: lemonade, beer, iced tea, tea, orange juice.\nEveryone likes a different type of gemstone: Obsidians, Pearls, Dolomites, Corals, Aquamarines.\nEveryone reads a different genre of books: science fiction, spiritual, fantasy, mystery, short story.\nEveryone likes a different favorite animal: buffaloes, mannikins, fangtooths, swordfish, frogs.\nEveryone has a different favorite soft drink: Coke, Pepsi, 7up, Limca, Mirinda.\nEveryone plays a different musical instrument: saxophone, harp, harmonica, oboe, flute.\nEveryone has a different name: Ahmed, Noah, Siva, Randy, Ali.\nEveryone likes a different type of flower: orchids, peonies, roses, tulips, daffodils.\nEveryone likes a different physical activity: base jumping, biking, weight lifting, paragliding, hiking.\nEveryone plays a different sport: ice hockey, basketball, baseball, volleyball, table tennis.\nEveryone supports a different NBA team: Lakers, Knicks, Suns, Bucks, Cavaliers.\nEveryone lives in a different colored house: grey, blue, red, yellow, brown.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes base jumping is immediately to the left of the person who supports the Knicks.\nClue 2: The person who likes burgers is somewhere to the left of the person who likes peonies.\nClue 3: The person who drives the Lexus is somewhere in between the person who drinks beer and the person who supports the Lakers in that order.\nClue 4: The person who likes Corals is at one of the ends.\nClue 5: The baseball player is at one of the ends.\nClue 6: The person who likes buffaloes is the person who reads spiritual books.\nClue 7: The person who likes orchids is the person who supports the Knicks.\nClue 8: The person who smokes Dunhill is somewhere to the left of the person who smokes Blue Master.\nClue 9: The person who likes tacos is the person who likes paragliding.\nClue 10: Ahmed is somewhere to the left of the person who drinks orange juice.\nClue 11: The person who likes paragliding is somewhere in between the saxophone player and the person who likes sandwiches in that order.\nClue 12: Randy is somewhere to the left of the person who drinks orange juice.\nClue 13: The person who likes swordfish is the person who smokes Pall Mall.\nClue 14: The person who supports the Bucks is somewhere to the left of the person who likes hiking.\nClue 15: The person who likes weight lifting is somewhere in between Siva and the person who likes hiking in that order.\nClue 16: The person who likes weight lifting is not the person who likes Pepsi.\nClue 17: The person who likes 7up is the person who lives in the brown house.\nClue 18: The person who smokes Dunhill is the person at the 3rd position.\nClue 19: The person who lives in the red house is somewhere to the left of the person who lives in the yellow house.\nClue 20: The person who likes paragliding is not the person who lives in the yellow house.\nClue 21: The oboe player is at one of the ends.\nClue 22: The person who drinks iced tea is somewhere in between the person who supports the Cavaliers and the person who drinks orange juice in that order.\nClue 23: The person who likes paragliding is the person who likes Limca.\nClue 24: Ali is next to the person who likes paragliding.\nClue 25: The person who supports the Bucks is somewhere in between the person who likes burgers and the person who drives the Ford in that order.\nClue 26: The person who drinks tea is the person who likes weight lifting.\nClue 27: The person who likes Obsidians is at one of the ends.\nClue 28: The person who likes Limca is the person who drives the Honda.\nClue 29: Siva is immediately to the left of the person who drives the Lexus.\nClue 30: Noah is somewhere to the left of the flute player.\nClue 31: The person who likes Limca is next to the oboe player.\nClue 32: The person who drives the Lexus is somewhere in between Siva and the person who likes Limca in that order.\nClue 33: The person who drives the Honda is not the saxophone player.\nClue 34: The person who drives the Ferrari is Siva.\nClue 35: The person who drinks orange juice is not the person who drives the Ferrari.\nClue 36: The person who supports the Lakers is not the person who likes Mirinda.\nClue 37: The person who likes frogs is the person who supports the Cincinnati Bengals.\nClue 38: The person who likes Coke is next to the person who likes 7up.\nClue 39: The person who drives the Lexus is somewhere in between the person who likes fried rice and the person who drives the Honda in that order.\nClue 40: The saxophone player is at one of the ends.\nClue 41: The person who likes Corals is somewhere to the left of the person who lives in the blue house.\nClue 42: The person who likes fried rice is not the person who lives in the grey house.\nClue 43: The person who supports the Cavaliers is the person who lives in the grey house.\nClue 44: The person who supports the Cavaliers is not the person who likes Obsidians.\nClue 45: The person who likes hiking is not the person who drinks beer.\nClue 46: The harp player is not the person who likes tacos.\nClue 47: The person who likes Aquamarines is somewhere in between the person who likes soups and the person who likes Pearls in that order.\nClue 48: The person who likes Obsidians is not the person who drives the Honda.\nClue 49: Randy is immediately to the left of the person who lives in the blue house.\nClue 50: The person who likes swordfish is somewhere in between the person who smokes Dunhill and the basketball player in that order.\nClue 51: The person who likes Corals is the saxophone player.\nClue 52: Ahmed is somewhere in between the person who likes Aquamarines and the person who supports the Lakers in that order.\nClue 53: The person who likes base jumping is Randy.\nClue 54: The person who supports the Suns is immediately to the left of the person who likes Dolomites.\nClue 55: Ali is the person who drives the Ford.\nClue 56: The person who likes orchids is the person who drinks beer.\nClue 57: The ice hockey player is immediately to the left of the person who supports the New England Patriots.\nClue 58: Noah is not the person who likes Coke.\nClue 59: The person who likes soups is immediately to the left of the person who likes biking.\nClue 60: The person who lives in the red house is not the person who likes Pepsi.\nClue 61: The harmonica player is immediately to the left of the person who likes roses.\nClue 62: The person who likes 7up is not the person who lives in the blue house.\nClue 63: The person who likes Coke is somewhere to the left of the person who likes burgers.\nClue 64: The ice hockey player is next to the person who reads short story books.\nClue 65: The person who drives the Ford is at one of the ends.\nClue 66: The person who supports the Cavaliers is next to the person who drives the Honda.\nClue 67: The person who supports the Lakers is at one of the ends.\nClue 68: The person who drinks tea is somewhere to the left of Ali.\nClue 69: The person who drinks tea is the person who likes Aquamarines.\nClue 70: The flute player is immediately to the left of the person who likes Pepsi.\nClue 71: The person who likes burgers is immediately to the left of the person who likes tacos.\nClue 72: The person who drives the Mercedes is next to the person who likes orchids.\nClue 73: The person who likes Pearls is next to the person who likes Aquamarines.\nClue 74: The person who likes Coke is the person who lives in the blue house.\nClue 75: The person who likes Coke is somewhere in between Randy and the person who drinks iced tea in that order.\nClue 76: The person who likes Corals is at one of the ends.\nClue 77: The person who likes 7up is at one of the ends.\nClue 78: The person who drives the Ford is not the person who likes tacos.\nClue 79: The person who supports the Lakers is at one of the ends.\nClue 80: The harp player is somewhere to the left of the person who likes hiking.\nClue 81: The person who supports the Suns is immediately to the left of the person who likes orchids.\nClue 82: The person who drives the Ferrari is somewhere to the left of the person who likes Mirinda.\nClue 83: The person who drinks beer is the person who supports the Knicks.\nClue 84: The person who lives in the yellow house is at one of the ends.\nClue 85: Randy is immediately to the left of the person who supports the Knicks.\nClue 86: The person who lives in the grey house is the person who likes Aquamarines.\nClue 87: The person who likes 7up is not the person who likes sandwiches.\nClue 88: The person at the 1st position is next to the person who smokes Davidoff.\nClue 89: The person who likes Dolomites is the person who likes orchids.\nClue 90: The ice hockey player is immediately to the left of the person who smokes Pall Mall.\nClue 91: The person who likes Pepsi is at one of the ends.\nClue 92: The person who drives the Lexus is next to the person who lives in the red house.\nClue 93: The person who smokes Pall Mall is the volleyball player.\nClue 94: The person who likes orchids is not Ahmed.\nClue 95: The saxophone player is the person who likes soups.\nClue 96: The person who likes buffaloes is next to the person who reads science fiction books.\nClue 97: The person who supports the New England Patriots is somewhere to the left of the person who likes buffaloes.\nClue 98: The person who supports the Cavaliers is somewhere in between the person who likes Coke and the person who supports the Bucks in that order.\nClue 99: The person who supports the Bucks is somewhere in between the person who drinks tea and the person who likes peonies in that order.\nClue 100: The person who lives in the grey house is Noah.\nClue 101: The harmonica player is somewhere in between the person who supports the Suns and the person who likes Mirinda in that order.\nClue 102: The person who likes frogs is somewhere to the left of the person who likes mannikins.\nClue 103: The person who likes peonies is at one of the ends.\nClue 104: The person who drives the Honda is not the person who likes hiking.\nClue 105: The person who smokes Camel is the person who supports the Carolina Panthers.\nClue 106: The person who supports the Bucks is somewhere in between the person who drinks tea and the oboe player in that order.\nClue 107: The person who likes daffodils is not the person who lives in the red house.\nClue 108: The person who likes Mirinda is somewhere in between the person who likes Coke and the person who likes tacos in that order.\nClue 109: The person who likes tulips is somewhere in between the person who likes Mirinda and Ali in that order.\nClue 110: The person who supports the Baltimore Ravens is the person who reads fantasy books.\nClue 111: The person who drives the Honda is the person who likes paragliding.\nClue 112: The saxophone player is the person who supports the Suns.\nClue 113: The person who likes soups is the person who supports the Suns.\nClue 114: The flute player is somewhere in between the harp player and the person who likes sandwiches in that order.\nClue 115: The person who lives in the yellow house is not the person who likes paragliding.\nClue 116: The saxophone player is at one of the ends.\nClue 117: The person who supports the Suns is at one of the ends.\n\nQuestion: What position is the person who smokes Camel at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:118", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone plays a different sport: ice hockey, baseball, table tennis, basketball, badminton, tennis, volleyball.\nEveryone has a different profession: singer, chef, artist, engineer, spy, dancer, designer.\nEveryone drinks a different drink: hot chocolate, iced tea, lemonade, orange juice, milk, tea, coffee.\nEveryone likes a different fruit: mangoes, apples, kiwis, blackberries, pears, bananas, oranges.\nEveryone has a different favorite hobby: wood carving, skiing, photography, stamp collecting, coin collecting, bird watching, horse riding.\nEveryone drives a different car: McLaren, Ford, Hyundai, Audi, BMW, Toyota, Tesla.\nEveryone has a different favorite soft drink: Sprite, Powerade, Mountain Dew, Mirinda, Coke, Dr Pepper, 7up.\nEveryone likes a different type of flower: peonies, daisies, daffodils, begonias, lilies, marigolds, tulips.\nEveryone drives a different motorbike: Yamaha, Bajaj, Piaggio, Buell, Honda, Ducati, Benelli.\nEveryone reads a different genre of books: spiritual, mystery, science fiction, short story, fantasy, history, magical realism.\nEveryone likes a different favorite animal: snakes, gadwalls, sun bears, mice, beavers, panda bears, baboons.\nEveryone likes a different physical activity: bungee jumping, running, paragliding, skiing, scuba diving, weight lifting, swimming.\nEveryone plays a different musical instrument: guitar, violin, saxophone, flute, harmonica, drums, harp.\nEveryone is a different nationality: Nepali, Portuguese, Iranian, Serbian, Israeli, Spanish, Italian.\nEveryone has a different name: Mandy, Jones, Michael, Rafael, Maven, Jackson, Joseph.\nEveryone owns a different handbag brand: Tumi, Versace, Polo Ralph Lauren, Kate Spade, Coach, Gucci, Michael Kors.\nEveryone likes a different type of gemstone: Emeralds, Pearls, Obsidians, Topaz, Jade, Diamonds, Aquamarines.\nEveryone supports a different NBA team: Bucks, Hawks, Knicks, Cavaliers, Bulls, Celtics, Mavericks.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drinks coffee is the person who owns a Polo Ralph Lauren.\nClue 2: Maven is the person who likes daffodils.\nClue 3: The person who likes Emeralds is immediately to the left of the person who reads mystery books.\nClue 4: The person who likes running is the person who reads mystery books.\nClue 5: The person who supports the Mavericks is immediately to the left of the person who owns a Coach.\nClue 6: The person who likes marigolds is immediately to the left of the person who likes horse riding.\nClue 7: The person who drives the Audi is not the Iranian.\nClue 8: The Italian is the person who eats apples.\nClue 9: The person who likes paragliding is somewhere in between the person who eats mangoes and the Iranian in that order.\nClue 10: The person who likes stamp collecting is the person who owns a Versace.\nClue 11: The person who likes gadwalls is Jackson.\nClue 12: The person who likes Mountain Dew is not the Iranian.\nClue 13: The person who drives the BMW is next to the person who eats pears.\nClue 14: The person who likes horse riding is the person who likes panda bears.\nClue 15: The person who likes wood carving is the person who supports the Mavericks.\nClue 16: The person who drives the Hyundai is somewhere to the left of the person who drives the Toyota.\nClue 17: The person who likes Mirinda is at one of the ends.\nClue 18: The person who likes Topaz is not the person who reads spiritual books.\nClue 19: The person who owns a Polo Ralph Lauren is the person who likes beavers.\nClue 20: The person who reads magical realism books is not the person who likes Sprite.\nClue 21: The person who reads magical realism books is not the person who drives the Buell.\nClue 22: The person who likes Mountain Dew is somewhere in between the ice hockey player and the person who likes Diamonds in that order.\nClue 23: The ice hockey player is next to the person who eats mangoes.\nClue 24: The person who likes daisies is the person who owns a Michael Kors.\nClue 25: The person who likes Mirinda is not the person who likes bungee jumping.\nClue 26: The saxophone player is next to the person who reads magical realism books.\nClue 27: The drums player is not the person who drives the BMW.\nClue 28: The person who likes Aquamarines is somewhere to the left of the person who likes Diamonds.\nClue 29: The person who likes Sprite is immediately to the left of the person who drives the Piaggio.\nClue 30: The person who drives the Piaggio is not the person who eats mangoes.\nClue 31: The person who drives the Ducati is somewhere to the left of the person who drives the Piaggio.\nClue 32: The Serbian is not the person who eats bananas.\nClue 33: The person who eats apples is the person who drives the Benelli.\nClue 34: The harmonica player is the tennis player.\nClue 35: The person who likes swimming is immediately to the left of the person who drives the Benelli.\nClue 36: The basketball player is somewhere to the left of the person who drives the Audi.\nClue 37: The person who drinks lemonade is somewhere in between the person who likes baboons and the person who drinks hot chocolate in that order.\nClue 38: The person who reads fantasy books is not the person who likes Emeralds.\nClue 39: The volleyball player is the person who drives the McLaren.\nClue 40: The person who reads history books is somewhere in between the ice hockey player and the Israeli in that order.\nClue 41: The drums player is somewhere in between the person who eats bananas and the person who likes Aquamarines in that order.\nClue 42: The person who drinks tea is next to Jackson.\nClue 43: The Serbian is not the person who likes Diamonds.\nClue 44: The person who likes Sprite is somewhere to the left of the person who eats blackberries.\nClue 45: The Portuguese is immediately to the left of the Spanish.\nClue 46: The ice hockey player is next to the dancer.\nClue 47: The person who drinks lemonade is the person who supports the Cavaliers.\nClue 48: The engineer is somewhere in between the person who drives the Hyundai and the person who likes Diamonds in that order.\nClue 49: The person who drives the Piaggio is the person who likes Aquamarines.\nClue 50: The person who drinks lemonade is the person who likes panda bears.\nClue 51: The person who eats apples is immediately to the left of the table tennis player.\nClue 52: The tennis player is somewhere in between the person who reads magical realism books and the harp player in that order.\nClue 53: The person who likes peonies is the person who likes beavers.\nClue 54: The person who drives the Yamaha is the Spanish.\nClue 55: The person who eats mangoes is next to the person who likes Jade.\nClue 56: The volleyball player is next to the singer.\nClue 57: The person who eats oranges is the person who drives the Toyota.\nClue 58: The person who likes swimming is immediately to the left of the Italian.\nClue 59: The person who drinks hot chocolate is next to Joseph.\nClue 60: The person who likes Mountain Dew is not the person who likes scuba diving.\nClue 61: The person who eats blackberries is somewhere to the left of the person who likes Pearls.\nClue 62: The person who supports the Knicks is at one of the ends.\nClue 63: The person who drives the Yamaha is immediately to the left of the singer.\nClue 64: The person who supports the Knicks is the person who owns a Michael Kors.\nClue 65: The person who reads mystery books is immediately to the left of the person who drives the Buell.\nClue 66: The person who owns a Polo Ralph Lauren is immediately to the left of the person who owns a Kate Spade.\nClue 67: The person who supports the Bulls is somewhere to the left of the person at the 5th position.\nClue 68: The person who likes Dr Pepper is not the engineer.\nClue 69: The person who likes Sprite is not the table tennis player.\nClue 70: The person who supports the Knicks is not the person who likes snakes.\nClue 71: The artist is not the person who reads spiritual books.\nClue 72: The person who drives the Piaggio is the person who likes Aquamarines.\nClue 73: The person who owns a Kate Spade is immediately to the left of Joseph.\nClue 74: The person who likes Jade is next to the dancer.\nClue 75: The Nepali is next to the person who drives the McLaren.\nClue 76: The person who likes mice is immediately to the left of the person at the 3rd position.\nClue 77: The Portuguese is not the volleyball player.\nClue 78: The person who likes tulips is the person who owns a Gucci.\nClue 79: The person who likes 7up is somewhere to the left of the Iranian.\nClue 80: The person who eats pears is immediately to the left of the ice hockey player.\nClue 81: Joseph is at one of the ends.\nClue 82: The person who reads science fiction books is not the person who likes Aquamarines.\nClue 83: The person who likes Mountain Dew is next to the Serbian.\nClue 84: The Israeli is somewhere to the left of the person who likes Pearls.\nClue 85: Joseph is the person who likes begonias.\nClue 86: The Portuguese is at one of the ends.\nClue 87: The engineer is next to the person who likes paragliding.\nClue 88: The person who drinks iced tea is next to the person at the 2nd position.\nClue 89: The person who likes scuba diving is the person who eats mangoes.\nClue 90: The person who likes paragliding is somewhere in between the person who likes Mountain Dew and the person who likes Mirinda in that order.\nClue 91: The person who likes Dr Pepper is the person who reads magical realism books.\nClue 92: The artist is next to the person who drives the Audi.\nClue 93: The person who likes Powerade is somewhere in between the person who reads spiritual books and the harp player in that order.\nClue 94: The person who drives the BMW is at one of the ends.\nClue 95: The person who drives the Piaggio is the violin player.\nClue 96: The person who likes weight lifting is not the person who likes Powerade.\nClue 97: The person who owns a Tumi is next to the person who likes bird watching.\nClue 98: The person who likes lilies is somewhere to the left of the person who likes stamp collecting.\nClue 99: The person who reads short story books is somewhere to the left of the Iranian.\nClue 100: The person who likes Jade is somewhere to the left of the person who eats oranges.\nClue 101: The person who likes beavers is next to the person who owns a Tumi.\nClue 102: The person who drives the Yamaha is somewhere to the left of the person who likes Sprite.\nClue 103: The Italian is the harmonica player.\nClue 104: The spy is not the person who likes Coke.\nClue 105: The person who likes Coke is somewhere in between the Spanish and the person who likes Mirinda in that order.\nClue 106: The person who likes tulips is immediately to the left of the person who likes baboons.\nClue 107: The table tennis player is at one of the ends.\nClue 108: The person who likes mice is next to the person who likes photography.\nClue 109: The harp player is not the person who likes running.\nClue 110: The person who likes Pearls is at one of the ends.\nClue 111: The person who drives the Honda is the ice hockey player.\nClue 112: The artist is immediately to the left of the person who eats oranges.\nClue 113: The person who reads science fiction books is next to the volleyball player.\nClue 114: The person who likes Emeralds is immediately to the left of the person who eats kiwis.\nClue 115: The person who likes gadwalls is immediately to the left of the person who supports the Hawks.\nClue 116: The person who likes running is next to the person who likes Sprite.\nClue 117: Jones is immediately to the left of the person who supports the Bucks.\nClue 118: The badminton player is the engineer.\nClue 119: The Italian is not the table tennis player.\nClue 120: The harp player is the Iranian.\nClue 121: The volleyball player is the person who likes Dr Pepper.\nClue 122: The person who supports the Bucks is Jackson.\nClue 123: The person who supports the Bucks is the person who drinks hot chocolate.\nClue 124: The person who reads short story books is the harmonica player.\nClue 125: The person who eats blackberries is somewhere in between the person who drives the Hyundai and the designer in that order.\nClue 126: The person who likes Topaz is not the basketball player.\nClue 127: The person who likes Topaz is somewhere in between the Spanish and the harp player in that order.\nClue 128: The person who eats pears is not the ice hockey player.\nClue 129: The volleyball player is not the flute player.\nClue 130: Mandy is the person who supports the Bulls.\nClue 131: The person who eats mangoes is immediately to the left of the person who likes Mountain Dew.\nClue 132: The person who likes 7up is somewhere to the left of the person who drives the Piaggio.\nClue 133: The violin player is the engineer.\nClue 134: The person who drinks hot chocolate is the person who likes lilies.\nClue 135: The artist is immediately to the left of the person who likes Mirinda.\nClue 136: The person who drives the Audi is not the person who likes Coke.\nClue 137: The person who likes tulips is Michael.\nClue 138: The person who likes Topaz is not the person who reads spiritual books.\nClue 139: The person who drinks orange juice is somewhere in between Michael and the person who likes peonies in that order.\nClue 140: The person who likes coin collecting is at one of the ends.\nClue 141: The person who likes scuba diving is next to the Nepali.\n\nQuestion: What position is Michael at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:121", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone smokes a different cigarette: Pall Mall, Winston, Blends, Camel, Dunhill.\nEveryone likes a different type of flower: dahlias, peonies, daisies, orchids, roses.\nEveryone has a different name: Nour, Trinity, Jackson, Karan, Ali.\nEveryone likes a different type of gemstone: Rubies, Jade, Amethysts, Corals, Aquamarines.\nEveryone likes a different physical activity: weight lifting, scuba diving, paragliding, snorkeling, running.\nEveryone plays a different musical instrument: piano, oboe, cello, saxophone, violin.\nEveryone plays a different sport: volleyball, ice hockey, table tennis, cricket, basketball.\nEveryone lives in a different colored house: yellow, black, blue, magenta, grey.\nEveryone drinks a different drink: beer, hot chocolate, orange juice, iced tea, water.\nEveryone has a different favorite soft drink: Powerade, Mirinda, 7up, Gatorade, Canada Dry.\nEveryone likes a different favorite animal: kudus, penguins, doves, sharks, storks.\nEveryone owns a different handbag brand: Kate Spade, Dolce and Gabbana, Tory Burch, Tumi, Michael Kors.\nEveryone reads a different genre of books: romance, magical realism, history, science fiction, spiritual.\nEveryone is a different nationality: Malaysian, Bangladeshi, Serbian, Japanese, American.\nEveryone supports a different NFL team: Buffalo Bills, Pittsburgh Steelers, Detroit Lions, Green Bay Packers, Seattle Seahawks.\nEveryone has a different profession: doctor, artist, engineer, athlete, singer.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes storks is the person who smokes Winston.\nClue 2: The person who likes doves is not the person who smokes Dunhill.\nClue 3: The Serbian is not the person who reads science fiction books.\nClue 4: Nour is at one of the ends.\nClue 5: The person who reads magical realism books is somewhere to the left of the person who likes storks.\nClue 6: The person who likes daisies is somewhere to the left of the person who smokes Camel.\nClue 7: The person who smokes Camel is at one of the ends.\nClue 8: The person who reads spiritual books is at one of the ends.\nClue 9: The person who likes orchids is somewhere in between the person who smokes Blends and the person who likes storks in that order.\nClue 10: The Malaysian is at one of the ends.\nClue 11: The person who likes Jade is somewhere to the left of the person who likes daisies.\nClue 12: The person who likes Canada Dry is immediately to the left of the Bangladeshi.\nClue 13: The volleyball player is immediately to the left of the person who reads science fiction books.\nClue 14: The engineer is the person who likes daisies.\nClue 15: The person who likes peonies is not the person who likes Rubies.\nClue 16: The American is immediately to the left of the Bangladeshi.\nClue 17: The volleyball player is next to the person who likes storks.\nClue 18: Ali is somewhere in between the person who likes weight lifting and the person who owns a Kate Spade in that order.\nClue 19: The person who lives in the grey house is the table tennis player.\nClue 20: The basketball player is somewhere in between the cricket player and the Bangladeshi in that order.\nClue 21: The person who likes kudus is somewhere in between the doctor and the singer in that order.\nClue 22: The Japanese is somewhere in between the person who likes Gatorade and the person who likes Amethysts in that order.\nClue 23: The ice hockey player is somewhere to the left of the Serbian.\nClue 24: The person who likes Aquamarines is not the person who lives in the black house.\nClue 25: The person who likes running is at one of the ends.\nClue 26: The person who likes Rubies is not the person who likes orchids.\nClue 27: The person who drinks hot chocolate is immediately to the left of the person who likes paragliding.\nClue 28: The person who likes Gatorade is somewhere in between the person who smokes Dunhill and the person who likes Rubies in that order.\nClue 29: The person who smokes Winston is the Japanese.\nClue 30: The person who likes 7up is not the saxophone player.\nClue 31: The basketball player is not the Malaysian.\nClue 32: The person who likes daisies is next to the person who likes doves.\nClue 33: The person who smokes Blends is the person who likes Powerade.\nClue 34: The cricket player is not the Japanese.\nClue 35: The person who likes dahlias is the person who likes kudus.\nClue 36: The person who supports the Green Bay Packers is at one of the ends.\nClue 37: The person who reads romance books is the oboe player.\nClue 38: The person who lives in the yellow house is somewhere in between the cricket player and the person who lives in the blue house in that order.\nClue 39: The person who smokes Blends is at one of the ends.\nClue 40: The saxophone player is the athlete.\nClue 41: The American is not the singer.\nClue 42: The person who likes penguins is at one of the ends.\nClue 43: The person who reads romance books is next to the person who reads science fiction books.\nClue 44: The person who likes paragliding is somewhere in between the person who supports the Buffalo Bills and the person who owns a Michael Kors in that order.\nClue 45: The saxophone player is immediately to the left of the person who likes sharks.\nClue 46: The Japanese is the engineer.\nClue 47: The person who supports the Buffalo Bills is the person who likes scuba diving.\nClue 48: The person who likes Canada Dry is immediately to the left of the Bangladeshi.\nClue 49: The person who likes sharks is immediately to the left of the volleyball player.\nClue 50: The athlete is immediately to the left of the person who lives in the yellow house.\nClue 51: The athlete is somewhere to the left of the volleyball player.\nClue 52: The Bangladeshi is not the person who likes orchids.\nClue 53: Jackson is at one of the ends.\nClue 54: The saxophone player is not the person who likes sharks.\nClue 55: The person who smokes Pall Mall is the Bangladeshi.\nClue 56: The person who smokes Camel is not the person who lives in the blue house.\nClue 57: The engineer is not the basketball player.\nClue 58: The person who likes paragliding is immediately to the left of the person who likes snorkeling.\nClue 59: The person who likes peonies is at one of the ends.\nClue 60: The saxophone player is immediately to the left of the person who likes Aquamarines.\nClue 61: The person who smokes Winston is somewhere in between the person who likes Corals and the person who reads spiritual books in that order.\nClue 62: The person who likes orchids is the person who lives in the yellow house.\nClue 63: The cello player is somewhere in between the person who lives in the yellow house and the person who likes doves in that order.\nClue 64: The singer is the person who likes doves.\nClue 65: The engineer is the person who likes storks.\nClue 66: The person who likes kudus is somewhere in between the saxophone player and the singer in that order.\nClue 67: The person who lives in the black house is the person who smokes Winston.\nClue 68: The person who likes kudus is somewhere in between the cricket player and the violin player in that order.\nClue 69: The person who likes doves is not the cricket player.\nClue 70: The person who drinks water is the person who owns a Tory Burch.\nClue 71: The person who owns a Kate Spade is the person who likes paragliding.\nClue 72: The table tennis player is at one of the ends.\nClue 73: The athlete is somewhere to the left of the artist.\nClue 74: The person who likes penguins is the saxophone player.\nClue 75: The person who likes kudus is immediately to the left of the person who likes 7up.\nClue 76: The cricket player is immediately to the left of the person who likes sharks.\nClue 77: The person who drinks iced tea is not the person who supports the Green Bay Packers.\nClue 78: The person who likes peonies is the cricket player.\nClue 79: The ice hockey player is somewhere to the left of the person who smokes Camel.\nClue 80: The person who smokes Pall Mall is next to the person who lives in the yellow house.\nClue 81: The singer is next to the person who reads science fiction books.\nClue 82: The person who lives in the magenta house is the person who likes penguins.\nClue 83: The volleyball player is not the person who lives in the magenta house.\nClue 84: The person who supports the Pittsburgh Steelers is at one of the ends.\nClue 85: The volleyball player is not the Malaysian.\nClue 86: The singer is not the Bangladeshi.\nClue 87: The Malaysian is not the person who smokes Dunhill.\nClue 88: The person who supports the Seattle Seahawks is immediately to the left of the person who supports the Buffalo Bills.\nClue 89: The singer is the person who likes Amethysts.\nClue 90: The volleyball player is somewhere in between the person who reads history books and the person who likes roses in that order.\nClue 91: The person who likes Powerade is the person who reads history books.\nClue 92: The person who drinks water is immediately to the left of the person who likes weight lifting.\nClue 93: The person who lives in the blue house is somewhere in between the person who reads magical realism books and the singer in that order.\nClue 94: The person who drinks water is the person who likes running.\nClue 95: The person who likes dahlias is somewhere to the left of the table tennis player.\nClue 96: The person who smokes Pall Mall is next to the person who reads science fiction books.\nClue 97: The person who likes dahlias is the volleyball player.\nClue 98: The person who likes Powerade is the Malaysian.\nClue 99: The American is somewhere to the left of the person who likes Rubies.\nClue 100: The person who likes Corals is next to the person who likes Canada Dry.\nClue 101: The person who likes Canada Dry is the doctor.\nClue 102: The person who drinks beer is somewhere to the left of the person who owns a Tumi.\nClue 103: The person who likes peonies is at one of the ends.\nClue 104: The person who likes Corals is the person who likes penguins.\nClue 105: The Bangladeshi is immediately to the left of the Japanese.\nClue 106: Trinity is somewhere in between the person who supports the Seattle Seahawks and Jackson in that order.\nClue 107: The American is not the person who likes Jade.\nClue 108: The oboe player is the person who smokes Pall Mall.\nClue 109: The person who drinks orange juice is next to Ali.\nClue 110: The person who likes Aquamarines is not the singer.\nClue 111: The person who likes sharks is somewhere in between the person who smokes Blends and the artist in that order.\nClue 112: The person who lives in the blue house is somewhere to the left of the person who reads spiritual books.\nClue 113: The person who likes daisies is the Japanese.\nClue 114: The saxophone player is the person who likes Powerade.\nClue 115: The person who reads history books is next to the piano player.\nClue 116: The person who lives in the magenta house is next to the person who likes Aquamarines.\nClue 117: The artist is not the piano player.\nClue 118: The person who likes dahlias is immediately to the left of the engineer.\nClue 119: The Malaysian is not the person who likes Jade.\n\nQuestion: What position is the person who owns a Dolce and Gabbana at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:125", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone has a different favorite soft drink: 7up, Sprite, Mirinda, Mountain Dew, Fanta, Gatorade, Pepsi.\nEveryone has a different name: Bob, Michael, Joseph, Mohsen, Michelle, Jackson, Jones.\nEveryone likes a different type of flower: carnations, lilies, dahlias, orchids, roses, tulips, marigolds.\nEveryone plays a different musical instrument: drums, piano, cello, oboe, violin, guitar, saxophone.\nEveryone likes a different physical activity: hiking, snorkeling, running, weight lifting, scuba diving, base jumping, skiing.\nEveryone likes a different fruit: strawberries, blueberries, bananas, grapes, mangoes, oranges, pears.\nEveryone owns a different handbag brand: Versace, Tory Burch, Dolce and Gabbana, Tumi, Polo Ralph Lauren, Michael Kors, Kate Spade.\nEveryone smokes a different cigarette: Salem, Marlboro, Winston, Pall Mall, Camel, Blue Master, Blends.\nEveryone lives in a different colored house: violet, turquoise, teal, brown, orange, silver, black.\nEveryone has a different favorite hobby: video games, stamp collecting, biking, juggling, gardening, fishing, archery.\nEveryone drinks a different drink: milk, tea, beer, lemonade, iced tea, iced coffee, hot chocolate.\nEveryone drives a different motorbike: Honda, Benelli, Ducati, Kawasaki, Yamaha, Bajaj, Piaggio.\nEveryone reads a different genre of books: humor, magical realism, history, romance, mystery, fantasy, science fiction.\nEveryone plays a different sport: baseball, basketball, ice hockey, squash, cricket, table tennis, tennis.\nEveryone likes a different favorite animal: polar bears, amberjacks, ducks, wolverines, pelikans, bees, chinchillas.\nEveryone likes a different food: pizza, burgers, sandwiches, pasta, kebabs, noodles, fried rice.\nEveryone has a different profession: doctor, artist, engineer, chef, writer, singer, teacher.\nEveryone drives a different car: McLaren, Mercedes, Honda, Tesla, BMW, Lexus, Toyota.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who eats mangoes is immediately to the left of the person who likes juggling.\nClue 2: Michael is somewhere to the left of the person who likes chinchillas.\nClue 3: The person who drives the McLaren is somewhere to the left of the person who drives the Mercedes.\nClue 4: The person who likes skiing is the person who drives the Bajaj.\nClue 5: Jackson is next to the person who likes Sprite.\nClue 6: The person who drives the Ducati is immediately to the left of the person who lives in the black house.\nClue 7: The artist is at one of the ends.\nClue 8: The person who likes tulips is the person who drives the Kawasaki.\nClue 9: The person who drives the Ducati is next to the person who likes dahlias.\nClue 10: The person who likes fishing is the teacher.\nClue 11: The person who drinks beer is immediately to the left of the person who drinks iced coffee.\nClue 12: The person who likes ducks is the person who lives in the brown house.\nClue 13: The person who drives the BMW is the person who reads romance books.\nClue 14: The person who reads science fiction books is somewhere in between the person who drinks hot chocolate and the person who lives in the silver house in that order.\nClue 15: Mohsen is somewhere to the left of the person who lives in the silver house.\nClue 16: The person who lives in the brown house is somewhere in between Michelle and the person who likes carnations in that order.\nClue 17: The person who likes hiking is at one of the ends.\nClue 18: The person who reads science fiction books is somewhere to the left of the person who likes Mirinda.\nClue 19: The person who reads humor books is at one of the ends.\nClue 20: The person who drinks tea is the person who likes hiking.\nClue 21: The person who drinks beer is somewhere to the left of Joseph.\nClue 22: The person who owns a Dolce and Gabbana is immediately to the left of the person who likes video games.\nClue 23: Michael is not the person who drinks milk.\nClue 24: The piano player is immediately to the left of the person who likes 7up.\nClue 25: The person who drinks lemonade is not the person who drives the Kawasaki.\nClue 26: The person who likes hiking is immediately to the left of the person who likes Gatorade.\nClue 27: The person who reads romance books is at one of the ends.\nClue 28: The person who likes polar bears is somewhere in between the person who reads mystery books and Mohsen in that order.\nClue 29: The person who eats mangoes is the person who likes stamp collecting.\nClue 30: The person who reads magical realism books is next to the cello player.\nClue 31: Michael is the person who reads fantasy books.\nClue 32: The piano player is immediately to the left of the person who likes roses.\nClue 33: The person who lives in the black house is at one of the ends.\nClue 34: The squash player is the person who smokes Blends.\nClue 35: The person who owns a Versace is immediately to the left of the basketball player.\nClue 36: The person who drives the Lexus is somewhere in between the person who lives in the teal house and the violin player in that order.\nClue 37: The person who drinks beer is somewhere in between the person who lives in the violet house and Michael in that order.\nClue 38: The violin player is somewhere to the left of the person who drives the Ducati.\nClue 39: The person who likes chinchillas is next to the saxophone player.\nClue 40: The person who likes Pepsi is Michael.\nClue 41: The person who drives the Lexus is the piano player.\nClue 42: The guitar player is not the person who reads mystery books.\nClue 43: The person who likes noodles is the person who smokes Salem.\nClue 44: The person who likes wolverines is next to the person who likes ducks.\nClue 45: The person who lives in the orange house is not the person who drives the Kawasaki.\nClue 46: Jackson is somewhere in between the person who likes marigolds and the person who drinks lemonade in that order.\nClue 47: The person who likes carnations is somewhere in between the person who reads science fiction books and the person who lives in the black house in that order.\nClue 48: The person who likes amberjacks is the person who drives the Kawasaki.\nClue 49: The person who smokes Blue Master is next to the table tennis player.\nClue 50: The artist is next to the tennis player.\nClue 51: The saxophone player is Michael.\nClue 52: Michelle is somewhere to the left of the person who likes ducks.\nClue 53: The person who likes scuba diving is somewhere to the left of the drums player.\nClue 54: Mohsen is somewhere to the left of the person who drives the Tesla.\nClue 55: The person who drives the Lexus is the person who reads magical realism books.\nClue 56: The person who drives the Tesla is somewhere in between the person who likes polar bears and Joseph in that order.\nClue 57: The person who drives the Tesla is Bob.\nClue 58: The piano player is immediately to the left of the person who drinks beer.\nClue 59: The person who reads humor books is the person who drives the Honda.\nClue 60: The person who smokes Salem is the person who eats grapes.\nClue 61: The person who drinks beer is somewhere in between the person who likes scuba diving and the person who drives the Ducati in that order.\nClue 62: The person who likes biking is next to the engineer.\nClue 63: The person who likes Mirinda is the person who drives the BMW.\nClue 64: The person who likes sandwiches is immediately to the left of the table tennis player.\nClue 65: Michelle is the person who lives in the teal house.\nClue 66: The person who drinks milk is not the person who lives in the turquoise house.\nClue 67: The person who likes fishing is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 68: The person who drinks beer is somewhere to the left of the person who likes carnations.\nClue 69: The person who drinks milk is not the person who lives in the silver house.\nClue 70: The person who drives the Ducati is next to the person who likes 7up.\nClue 71: The teacher is next to the squash player.\nClue 72: The person who owns a Kate Spade is the ice hockey player.\nClue 73: Michael is not the cello player.\nClue 74: The person who likes wolverines is not the person who lives in the orange house.\nClue 75: The person who likes carnations is not the person who drinks lemonade.\nClue 76: The person who reads science fiction books is not the person who likes tulips.\nClue 77: The person who drinks milk is the person who likes chinchillas.\nClue 78: The person who owns a Tory Burch is somewhere in between the person who smokes Camel and the person who owns a Michael Kors in that order.\nClue 79: The person who likes kebabs is the engineer.\nClue 80: The person who drinks tea is at one of the ends.\nClue 81: The oboe player is immediately to the left of the person who likes skiing.\nClue 82: The person who likes noodles is at one of the ends.\nClue 83: The person who likes Sprite is at one of the ends.\nClue 84: The person who owns a Kate Spade is next to the doctor.\nClue 85: Jones is not the guitar player.\nClue 86: The person who lives in the violet house is not the person who likes Mirinda.\nClue 87: The person who drinks beer is somewhere in between the person who likes Sprite and the person who drives the Ducati in that order.\nClue 88: The person at the 1st position is the ice hockey player.\nClue 89: The person who lives in the violet house is next to the person who likes skiing.\nClue 90: The person who likes fried rice is not the person who likes archery.\nClue 91: The person who drives the Honda is at one of the ends.\nClue 92: The person who likes Gatorade is immediately to the left of the person who likes polar bears.\nClue 93: The person who reads magical realism books is somewhere in between the person who likes Fanta and the person who likes 7up in that order.\nClue 94: The chef is next to the person who likes noodles.\nClue 95: The person who likes pelikans is the violin player.\nClue 96: The saxophone player is somewhere in between the person who likes pelikans and Joseph in that order.\nClue 97: The person who owns a Kate Spade is the person who likes fishing.\nClue 98: The person who drives the Kawasaki is somewhere in between the person who drinks lemonade and the person who lives in the orange house in that order.\nClue 99: The guitar player is at one of the ends.\nClue 100: The writer is somewhere to the left of the table tennis player.\nClue 101: The person who likes carnations is the saxophone player.\nClue 102: The person who drinks tea is at one of the ends.\nClue 103: The person who eats oranges is immediately to the left of the artist.\nClue 104: The person who likes wolverines is at one of the ends.\nClue 105: The person who likes polar bears is immediately to the left of the person who lives in the violet house.\nClue 106: The person who eats mangoes is somewhere in between the person who owns a Polo Ralph Lauren and the person who eats strawberries in that order.\nClue 107: The person who drives the Ducati is somewhere to the left of the person who drinks milk.\nClue 108: The person who drives the Toyota is immediately to the left of the person who likes skiing.\nClue 109: The person who likes carnations is next to the person who likes pelikans.\nClue 110: The baseball player is the person who smokes Pall Mall.\nClue 111: The guitar player is the person who drives the Honda.\nClue 112: The person who likes fishing is the person who likes burgers.\nClue 113: The cello player is somewhere to the left of Mohsen.\nClue 114: The person at the 5th position is immediately to the left of the person who owns a Tumi.\nClue 115: The person who likes weight lifting is at one of the ends.\nClue 116: Michael is somewhere in between the person who likes scuba diving and the person who reads romance books in that order.\nClue 117: The piano player is somewhere to the left of the person who likes weight lifting.\nClue 118: The person who drives the Yamaha is not Michelle.\nClue 119: Jones is not the piano player.\nClue 120: The person who likes Fanta is not the person who likes snorkeling.\nClue 121: The person who likes kebabs is immediately to the left of the person who likes pasta.\nClue 122: The table tennis player is immediately to the left of the person who owns a Tory Burch.\nClue 123: The person who smokes Marlboro is the teacher.\nClue 124: The person who drinks milk is the person who likes dahlias.\nClue 125: Joseph is at one of the ends.\nClue 126: The teacher is immediately to the left of the person who likes fried rice.\nClue 127: The person who eats blueberries is immediately to the left of the squash player.\nClue 128: The person who likes polar bears is immediately to the left of the person who drives the Kawasaki.\nClue 129: Jackson is somewhere in between the person who likes wolverines and the person who reads history books in that order.\nClue 130: The person who likes carnations is Michael.\nClue 131: The person who eats pears is the person who smokes Blends.\nClue 132: The person who likes wolverines is the person who likes hiking.\nClue 133: The person who likes hiking is the person who likes marigolds.\nClue 134: The person who likes Fanta is the cello player.\nClue 135: The person who likes Fanta is not the person who likes hiking.\nClue 136: The person who drives the Toyota is not the person who reads history books.\n\nQuestion: What position is the person who owns a Dolce and Gabbana at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:126", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone drinks a different drink: orange juice, lemonade, iced coffee, coffee, beer, tea.\nEveryone plays a different sport: table tennis, soccer, tennis, cricket, volleyball, baseball.\nEveryone likes a different favorite animal: whales, oscars, snails, dugongs, starlings, otters.\nEveryone likes a different type of flower: carnations, dahlias, begonias, tulips, orchids, marigolds.\nEveryone drives a different motorbike: Buell, Suzuki, Kawasaki, Honda, Bajaj, Harley-Davidson.\nEveryone plays a different musical instrument: drums, oboe, piano, harp, guitar, saxophone.\nEveryone supports a different NBA team: Suns, Knicks, Celtics, Bulls, Warriors, Lakers.\nEveryone has a different favorite soft drink: Gatorade, Canada Dry, Sprite, Fanta, Coke, Dr Pepper.\nEveryone has a different profession: designer, chef, athlete, singer, actor, dancer.\nEveryone likes a different food: soups, burgers, tacos, kebabs, noodles, pizza.\nEveryone lives in a different colored house: silver, brown, green, turquoise, black, violet.\nEveryone has a different favorite hobby: biking, kite flying, fishing, welding, dancing, coin collecting.\nEveryone owns a different handbag brand: Tumi, Coach, Polo Ralph Lauren, Versace, Gucci, Tory Burch.\nEveryone drives a different car: Honda, Lexus, Ford, Hyundai, BMW, Audi.\nEveryone smokes a different cigarette: Newport, Dunhill, Winston, Blue Master, Marlboro, Camel.\nEveryone reads a different genre of books: fantasy, history, science fiction, mystery, magical realism, short story.\nEveryone likes a different physical activity: snorkeling, running, base jumping, scuba diving, paragliding, biking.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The volleyball player is the person who likes snorkeling.\nClue 2: The chef is somewhere to the left of the person who reads mystery books.\nClue 3: The person who likes tacos is not the tennis player.\nClue 4: The person who supports the Bulls is immediately to the left of the person who reads mystery books.\nClue 5: The person who drinks coffee is not the tennis player.\nClue 6: The person who likes begonias is the person who supports the Knicks.\nClue 7: The person who reads science fiction books is somewhere to the left of the person who likes carnations.\nClue 8: The person who supports the Warriors is somewhere in between the person who likes fishing and the tennis player in that order.\nClue 9: The person who likes biking is next to the person who likes kebabs.\nClue 10: The person who lives in the turquoise house is the person who smokes Blue Master.\nClue 11: The person who supports the Suns is next to the dancer.\nClue 12: The person who owns a Tumi is the person who smokes Camel.\nClue 13: The person who drives the Suzuki is the person who owns a Gucci.\nClue 14: The person who reads history books is at one of the ends.\nClue 15: The person who likes snorkeling is the person who likes carnations.\nClue 16: The person who likes kebabs is somewhere in between the person who likes burgers and the person who likes paragliding in that order.\nClue 17: The person who likes otters is immediately to the left of the person who likes scuba diving.\nClue 18: The designer is somewhere to the left of the volleyball player.\nClue 19: The person who likes Gatorade is immediately to the left of the person who likes Sprite.\nClue 20: The person who likes base jumping is at one of the ends.\nClue 21: The person who lives in the turquoise house is the person who likes Dr Pepper.\nClue 22: The baseball player is not the person who supports the Bulls.\nClue 23: The person who likes scuba diving is somewhere in between the person who drives the Lexus and the singer in that order.\nClue 24: The person who reads magical realism books is the person who drives the Honda.\nClue 25: The person who likes burgers is at one of the ends.\nClue 26: The harp player is the person who lives in the black house.\nClue 27: The person who likes fishing is somewhere to the left of the person who drives the Honda.\nClue 28: The person at the 6th position is the person who smokes Dunhill.\nClue 29: The person who smokes Newport is the person who drives the Kawasaki.\nClue 30: The person who supports the Warriors is not the person who likes snorkeling.\nClue 31: The person who likes dahlias is at one of the ends.\nClue 32: The saxophone player is the person who lives in the green house.\nClue 33: The person who likes soups is somewhere in between the person who likes coin collecting and the person who likes orchids in that order.\nClue 34: The person who likes Gatorade is somewhere to the left of the person who lives in the silver house.\nClue 35: The person who likes dancing is the soccer player.\nClue 36: The person who drives the Honda is next to the person who drives the Buell.\nClue 37: The person who likes snorkeling is the volleyball player.\nClue 38: The person who likes marigolds is not the person who likes snorkeling.\nClue 39: The table tennis player is at one of the ends.\nClue 40: The piano player is the person who smokes Blue Master.\nClue 41: The person who likes marigolds is the soccer player.\nClue 42: The guitar player is not the person at the 2nd position.\nClue 43: The dancer is the soccer player.\nClue 44: The oboe player is at one of the ends.\nClue 45: The drums player is next to the person who owns a Polo Ralph Lauren.\nClue 46: The person who likes scuba diving is somewhere to the left of the person who likes tulips.\nClue 47: The person who likes biking is at one of the ends.\nClue 48: The person who likes scuba diving is the person who drinks lemonade.\nClue 49: The baseball player is somewhere in between the athlete and the person who drinks beer in that order.\nClue 50: The athlete is immediately to the left of the person who supports the Knicks.\nClue 51: The person who likes snails is the athlete.\nClue 52: The person who likes fishing is the person who reads fantasy books.\nClue 53: The person who supports the Bulls is not the person who drinks iced coffee.\nClue 54: The person who drinks coffee is the person who likes starlings.\nClue 55: The person who likes begonias is somewhere to the left of the person who drinks orange juice.\nClue 56: The person who likes Gatorade is next to the person who smokes Marlboro.\nClue 57: The person who likes biking is at one of the ends.\nClue 58: The person who drives the Hyundai is not the cricket player.\nClue 59: The person who likes carnations is not the person who likes pizza.\nClue 60: The person who owns a Tory Burch is at one of the ends.\nClue 61: The chef is somewhere to the left of the person who likes base jumping.\nClue 62: The person who reads history books is at one of the ends.\nClue 63: The table tennis player is next to the baseball player.\nClue 64: The person who supports the Warriors is not the person who drinks iced coffee.\nClue 65: The person who likes paragliding is somewhere in between the person who likes welding and the person who supports the Suns in that order.\nClue 66: The person who likes pizza is next to the person who likes marigolds.\nClue 67: The soccer player is the person who supports the Warriors.\nClue 68: The actor is immediately to the left of the chef.\nClue 69: The table tennis player is the person who likes dahlias.\nClue 70: The person who owns a Gucci is somewhere in between the person who owns a Tumi and the person who owns a Versace in that order.\nClue 71: The person who likes Dr Pepper is immediately to the left of the person who lives in the violet house.\nClue 72: The tennis player is next to the person who drives the Hyundai.\nClue 73: The person who drives the Honda is at one of the ends.\nClue 74: The person who drives the Honda is the person who drinks tea.\nClue 75: The person who likes scuba diving is immediately to the left of the person who supports the Warriors.\nClue 76: The person who lives in the green house is the person who drives the Suzuki.\nClue 77: The person who likes snails is immediately to the left of the person who supports the Knicks.\nClue 78: The person who likes scuba diving is somewhere to the left of the person who likes dancing.\nClue 79: The person who drives the Hyundai is somewhere in between the person who likes fishing and the person who reads magical realism books in that order.\nClue 80: The person who drinks coffee is immediately to the left of the actor.\nClue 81: The person who reads fantasy books is somewhere in between the person who likes soups and the person who likes whales in that order.\nClue 82: The person who likes snorkeling is not the baseball player.\nClue 83: The person who likes whales is the person who likes dancing.\nClue 84: The person who likes welding is the person who likes snorkeling.\nClue 85: The person who likes snorkeling is next to the person who drinks coffee.\nClue 86: The person who drives the BMW is the person who reads science fiction books.\nClue 87: The person who lives in the black house is immediately to the left of the person who likes Sprite.\nClue 88: The person who likes paragliding is somewhere in between the person who likes dugongs and the tennis player in that order.\nClue 89: The person who likes coin collecting is immediately to the left of the person who drives the Lexus.\nClue 90: The person who drinks beer is immediately to the left of the person who likes scuba diving.\nClue 91: The person who drinks lemonade is somewhere in between the person who likes soups and the person who likes dancing in that order.\nClue 92: The person who likes kebabs is the person who likes starlings.\nClue 93: The person who likes biking is at one of the ends.\nClue 94: The person who supports the Warriors is the person who drives the Hyundai.\nClue 95: The person who likes tacos is somewhere in between the table tennis player and the singer in that order.\nClue 96: The person who likes starlings is not the person who supports the Warriors.\nClue 97: The person who supports the Lakers is the person who likes snorkeling.\nClue 98: The person who likes starlings is not the person who likes pizza.\nClue 99: The person who supports the Bulls is not the person who likes dancing.\nClue 100: The person who likes snorkeling is the person who supports the Lakers.\nClue 101: The cricket player is not the person who likes noodles.\nClue 102: The person who drives the Lexus is immediately to the left of the person who likes orchids.\nClue 103: The guitar player is the person who drives the Bajaj.\nClue 104: The person who likes biking is not the person who reads fantasy books.\nClue 105: The person who likes biking is immediately to the left of the person who likes running.\nClue 106: The person who likes scuba diving is immediately to the left of the person who likes dancing.\nClue 107: The person who likes base jumping is at one of the ends.\nClue 108: The person who owns a Tumi is the person who lives in the silver house.\nClue 109: The person who likes welding is immediately to the left of the person who likes orchids.\nClue 110: The singer is at one of the ends.\nClue 111: The person who supports the Lakers is not the person who likes dancing.\nClue 112: The person who lives in the silver house is immediately to the left of the person who smokes Winston.\nClue 113: The harp player is somewhere to the left of the person who likes Fanta.\nClue 114: The person who likes begonias is the person who likes running.\nClue 115: The actor is the person who drives the Lexus.\nClue 116: The person at the 2nd position is immediately to the left of the person who likes Gatorade.\nClue 117: The person who drinks beer is the person who likes welding.\nClue 118: The person who likes pizza is at one of the ends.\nClue 119: The person who drinks coffee is next to the table tennis player.\nClue 120: The person who supports the Warriors is next to the person who likes dugongs.\nClue 121: The person who drives the Ford is not the person who reads science fiction books.\nClue 122: The person who likes Canada Dry is the person who owns a Versace.\nClue 123: The person who likes dancing is immediately to the left of the person who likes pizza.\nClue 124: The table tennis player is somewhere to the left of the person who drinks lemonade.\nClue 125: The person who likes whales is somewhere in between the volleyball player and the person who drinks tea in that order.\nClue 126: The person who likes kebabs is not the person who reads history books.\nClue 127: The baseball player is immediately to the left of the volleyball player.\nClue 128: The person who drives the Honda is next to the person who smokes Marlboro.\n\nQuestion: What position is the person who smokes Newport at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:127", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone likes a different type of flower: carnations, peonies, daisies, lilies, tulips, daffodils, dahlias.\nEveryone has a different favorite soft drink: Pepsi, 7up, Fanta, Mirinda, Powerade, Coke, Sprite.\nEveryone drives a different car: Audi, McLaren, Ford, Honda, Hyundai, Tesla, Kia.\nEveryone has a different profession: artist, engineer, programmer, singer, writer, chef, dancer.\nEveryone reads a different genre of books: short story, mystery, spiritual, magical realism, humor, history, romance.\nEveryone is a different nationality: Pakistani, Nepali, Russian, Canadian, Croatian, Mexican, Belarusian.\nEveryone likes a different food: pizza, fried rice, kebabs, pasta, sandwiches, curry, tacos.\nEveryone likes a different favorite animal: seahorses, dugongs, whales, llamas, spiders, rhinos, catfish.\nEveryone has a different favorite hobby: quilting, drone flying, archery, wine making, camping, metal detecting, wood carving.\nEveryone has a different name: Randy, Nour, Jones, Yair, Trinity, Drew, Katherine.\nEveryone lives in a different colored house: purple, pink, cyan, turquoise, green, teal, beige.\nEveryone likes a different physical activity: weight lifting, skiing, hiking, bungee jumping, paragliding, running, snorkeling.\nEveryone likes a different fruit: mangoes, raspberries, strawberries, apples, pears, bananas, blackberries.\nEveryone drives a different motorbike: Piaggio, Ducati, Honda, Kawasaki, Buell, Benelli, Suzuki.\nEveryone likes a different type of gemstone: Emeralds, Moonstones, Corals, Gypsum, Rubies, Dolomites, Sapphires.\nEveryone drinks a different drink: tea, iced coffee, beer, lemonade, hot chocolate, iced tea, water.\nEveryone supports a different NBA team: Knicks, Warriors, Cavaliers, Mavericks, Suns, Celtics, Lakers.\nEveryone plays a different musical instrument: drums, guitar, cello, oboe, violin, saxophone, harp.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who lives in the purple house is the person who likes paragliding.\nClue 2: The person who eats bananas is next to the person who likes dahlias.\nClue 3: The artist is somewhere in between the person who drinks hot chocolate and the person who drives the Honda in that order.\nClue 4: The person who likes lilies is somewhere to the left of the violin player.\nClue 5: The person who likes curry is at one of the ends.\nClue 6: The person who drives the Benelli is not the person who likes rhinos.\nClue 7: The person who eats apples is immediately to the left of Drew.\nClue 8: The person who likes Dolomites is at one of the ends.\nClue 9: The person who supports the Suns is the person who likes pasta.\nClue 10: The person who likes bungee jumping is immediately to the left of the person who supports the Knicks.\nClue 11: The person who likes Sapphires is somewhere to the left of the person who drives the Honda.\nClue 12: The person who likes Sapphires is somewhere to the left of the person who drives the Ducati.\nClue 13: The engineer is immediately to the left of the person who likes Rubies.\nClue 14: The person who likes skiing is the person who likes Pepsi.\nClue 15: The cello player is not the person who drives the Suzuki.\nClue 16: The person who drives the Suzuki is immediately to the left of the person who likes Gypsum.\nClue 17: The person who drinks tea is not the person who eats strawberries.\nClue 18: The person who likes Powerade is at one of the ends.\nClue 19: The oboe player is immediately to the left of the person who drinks iced coffee.\nClue 20: The person who reads mystery books is the saxophone player.\nClue 21: The person who likes Sapphires is somewhere in between the chef and the person who reads humor books in that order.\nClue 22: The person who likes Powerade is immediately to the left of the person who likes Sprite.\nClue 23: The saxophone player is at one of the ends.\nClue 24: The person who likes drone flying is somewhere to the left of the person who supports the Cavaliers.\nClue 25: The person who eats mangoes is the person who drives the Ducati.\nClue 26: Yair is somewhere to the left of the person who drives the Ducati.\nClue 27: The person who drives the Kia is immediately to the left of the person who likes whales.\nClue 28: The person who supports the Mavericks is immediately to the left of the person who likes tacos.\nClue 29: Katherine is somewhere in between the person who drinks iced tea and the person who likes whales in that order.\nClue 30: The artist is somewhere in between the person who drives the Kia and the saxophone player in that order.\nClue 31: The Canadian is at one of the ends.\nClue 32: The person who likes dahlias is the person who likes Moonstones.\nClue 33: The person who eats strawberries is immediately to the left of the person who likes Moonstones.\nClue 34: The person who drives the Suzuki is not the person who drives the Hyundai.\nClue 35: The singer is not the person who likes rhinos.\nClue 36: The person who likes Moonstones is immediately to the left of the person who likes peonies.\nClue 37: The person who drives the Honda is not the person who drinks iced tea.\nClue 38: The person who drives the Buell is immediately to the left of the person who eats blackberries.\nClue 39: The person who lives in the pink house is the Mexican.\nClue 40: The person who likes Corals is not the person who drives the Honda.\nClue 41: The person who reads magical realism books is the person who drives the McLaren.\nClue 42: The person who reads romance books is immediately to the left of the person who likes Sapphires.\nClue 43: The person who likes spiders is immediately to the left of the person who likes whales.\nClue 44: Nour is next to Jones.\nClue 45: The person who likes camping is next to the Pakistani.\nClue 46: The person who eats bananas is immediately to the left of the person who likes spiders.\nClue 47: The person who likes whales is somewhere in between the person who drinks tea and Nour in that order.\nClue 48: The person who reads romance books is next to the person who likes dahlias.\nClue 49: The person who likes dugongs is somewhere in between the person who eats strawberries and the person who likes peonies in that order.\nClue 50: The person who eats strawberries is somewhere in between the writer and the person who eats raspberries in that order.\nClue 51: The person who reads history books is not the person who eats apples.\nClue 52: The person who drinks hot chocolate is somewhere to the left of the person who eats raspberries.\nClue 53: The person who drinks water is at one of the ends.\nClue 54: The person who drives the Ford is the person who likes daffodils.\nClue 55: The person who likes drone flying is the person who supports the Mavericks.\nClue 56: The person who lives in the beige house is the Pakistani.\nClue 57: The person who drives the Ford is not the person who reads short story books.\nClue 58: The violin player is immediately to the left of the person who likes carnations.\nClue 59: The person who likes Rubies is somewhere to the left of the person who eats mangoes.\nClue 60: The person who likes dugongs is the singer.\nClue 61: Drew is immediately to the left of Trinity.\nClue 62: The person who drives the Tesla is somewhere in between the engineer and the person who likes catfish in that order.\nClue 63: The person who reads humor books is somewhere in between Katherine and the person who likes Emeralds in that order.\nClue 64: The person who likes Emeralds is the person who likes carnations.\nClue 65: Randy is immediately to the left of the engineer.\nClue 66: The Nepali is immediately to the left of the Russian.\nClue 67: The person who eats bananas is Randy.\nClue 68: The person who likes lilies is the person who drives the Kia.\nClue 69: The saxophone player is at one of the ends.\nClue 70: The saxophone player is at one of the ends.\nClue 71: The person who eats raspberries is somewhere in between the drums player and the person who drives the Ducati in that order.\nClue 72: The person who likes Coke is at one of the ends.\nClue 73: The programmer is at one of the ends.\nClue 74: The person who drinks lemonade is the writer.\nClue 75: The person who likes sandwiches is somewhere to the left of the Canadian.\nClue 76: The oboe player is at one of the ends.\nClue 77: Jones is somewhere in between the engineer and the programmer in that order.\nClue 78: The person who likes tulips is somewhere in between the person who reads romance books and the person who drives the Ducati in that order.\nClue 79: The person who reads humor books is somewhere in between the person who drinks tea and the person who likes catfish in that order.\nClue 80: The person who drinks beer is somewhere in between the person who likes dahlias and the person who likes Emeralds in that order.\nClue 81: The person who drives the Audi is immediately to the left of the person who reads magical realism books.\nClue 82: The person who likes metal detecting is immediately to the left of the person who likes hiking.\nClue 83: The person who drives the Piaggio is somewhere in between the person who drives the McLaren and the person who eats raspberries in that order.\nClue 84: The person who eats pears is the person who reads short story books.\nClue 85: The person who likes skiing is somewhere in between the person who likes quilting and the person who likes sandwiches in that order.\nClue 86: The person who likes metal detecting is somewhere to the left of the person who likes curry.\nClue 87: The person who likes dugongs is the person who drives the Honda.\nClue 88: The person who drinks tea is the person who drives the Piaggio.\nClue 89: The Belarusian is next to the person who likes kebabs.\nClue 90: The person who drives the Buell is somewhere in between the person who likes seahorses and the engineer in that order.\nClue 91: The Nepali is the person who supports the Lakers.\nClue 92: The person who likes llamas is not the harp player.\nClue 93: The person who likes metal detecting is immediately to the left of the person who lives in the turquoise house.\nClue 94: The person who lives in the teal house is next to the Croatian.\nClue 95: The saxophone player is at one of the ends.\nClue 96: The person who supports the Lakers is immediately to the left of the person who likes bungee jumping.\nClue 97: The person who likes pizza is the person who likes wood carving.\nClue 98: The person who likes kebabs is immediately to the left of the person who likes fried rice.\nClue 99: The person who likes daffodils is not the person who likes Corals.\nClue 100: The person who reads short story books is next to the person who reads humor books.\nClue 101: The person who reads humor books is somewhere in between Randy and Nour in that order.\nClue 102: The person who reads magical realism books is somewhere in between the person who drives the Ford and the person who eats bananas in that order.\nClue 103: The person who eats strawberries is somewhere to the left of the saxophone player.\nClue 104: The person who likes tacos is next to the Croatian.\nClue 105: The Croatian is somewhere in between the person who likes snorkeling and the person who likes weight lifting in that order.\nClue 106: The programmer is not the person who drives the Audi.\nClue 107: The person who drives the Benelli is somewhere in between the guitar player and the person who reads mystery books in that order.\nClue 108: The person who likes Mirinda is the person who likes metal detecting.\nClue 109: The person who supports the Celtics is the person who lives in the beige house.\nClue 110: The person who eats mangoes is not the writer.\nClue 111: The person who lives in the cyan house is somewhere in between the person who lives in the purple house and the person who lives in the green house in that order.\nClue 112: The artist is not the person who drinks water.\nClue 113: The person who supports the Lakers is the person who likes Pepsi.\nClue 114: The person who likes bungee jumping is the person who likes Fanta.\nClue 115: The person at the 2nd position is next to the person who likes Pepsi.\nClue 116: The person who likes Fanta is immediately to the left of the person who likes Mirinda.\nClue 117: The person who drives the Benelli is immediately to the left of the person who likes carnations.\nClue 118: The guitar player is somewhere in between the chef and the person who likes tulips in that order.\nClue 119: The person who reads humor books is next to the person who drives the Ducati.\nClue 120: The person who lives in the cyan house is somewhere in between the person who lives in the beige house and the Mexican in that order.\nClue 121: The person who likes spiders is somewhere in between the person who drives the McLaren and the person who drives the Ducati in that order.\nClue 122: The person who drives the McLaren is not the person who drives the Suzuki.\nClue 123: The person who drives the Honda is not the person who drives the Honda.\nClue 124: Drew is somewhere in between the person who drives the Suzuki and the person who likes Sapphires in that order.\nClue 125: The person who likes Gypsum is not the person who drinks iced tea.\nClue 126: The person who likes pizza is immediately to the left of the person who likes sandwiches.\nClue 127: The programmer is at one of the ends.\nClue 128: Katherine is the person who drives the Kia.\nClue 129: The person who likes daffodils is immediately to the left of the person who reads history books.\nClue 130: The chef is somewhere to the left of the person who likes catfish.\nClue 131: The Croatian is next to the person who likes wine making.\nClue 132: The person who likes Corals is next to the person who drives the Kia.\nClue 133: The person who reads mystery books is at one of the ends.\nClue 134: Nour is the person who likes catfish.\nClue 135: The person who eats apples is at one of the ends.\nClue 136: The person who eats raspberries is the person who drinks beer.\nClue 137: The person who likes running is immediately to the left of the person who lives in the purple house.\nClue 138: The person who reads romance books is not the person who drives the Audi.\nClue 139: The oboe player is at one of the ends.\nClue 140: The person who drinks hot chocolate is next to the person who reads humor books.\n\nQuestion: What position is the person who likes pasta at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:128", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone supports a different NFL team: New England Patriots, Baltimore Ravens, Pittsburgh Steelers, Carolina Panthers, Philadelphia Eagles, Buffalo Bills, Cincinnati Bengals.\nEveryone likes a different fruit: kiwis, grapes, blueberries, bananas, blackberries, mangoes, raspberries.\nEveryone lives in a different colored house: black, white, green, teal, indigo, beige, yellow.\nEveryone smokes a different cigarette: Newport, Davidoff, Pall Mall, Blends, Blue Master, Dunhill, Winston.\nEveryone has a different favorite soft drink: Fanta, Sprite, Mirinda, Pepsi, Mountain Dew, Limca, 7up.\nEveryone has a different name: Jackson, Mandy, Margaret, Maven, Jones, Yair, Nour.\nEveryone likes a different type of flower: orchids, dahlias, lilies, daisies, roses, peonies, begonias.\nEveryone likes a different physical activity: swimming, skiing, biking, scuba diving, paragliding, snorkeling, bungee jumping.\nEveryone drinks a different drink: beer, water, tea, iced tea, milk, hot chocolate, orange juice.\nEveryone has a different favorite hobby: crocheting, coin collecting, kite flying, cooking, gardening, cheese making, bird watching.\nEveryone likes a different favorite animal: starfish, goldfish, frogs, cheetahs, viperfish, hummingbirds, flamingoes.\nEveryone plays a different sport: tennis, cricket, baseball, basketball, volleyball, ice hockey, table tennis.\nEveryone owns a different handbag brand: Dolce and Gabbana, Gucci, Michael Kors, Tumi, Kate Spade, Tory Burch, Versace.\nEveryone plays a different musical instrument: flute, drums, piano, harmonica, guitar, oboe, cello.\nEveryone is a different nationality: Mexican, Bangladeshi, Japanese, Australian, Israeli, Swiss, Iranian.\nEveryone drives a different car: BMW, Lexus, Audi, Honda, Tesla, Toyota, Mercedes.\nEveryone drives a different motorbike: Bajaj, Honda, Benelli, Ducati, Suzuki, Kawasaki, Yamaha.\nEveryone supports a different NBA team: Lakers, Suns, Bulls, Celtics, Bucks, Mavericks, Cavaliers.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: Margaret is not the cello player.\nClue 2: The Swiss is the person who supports the Pittsburgh Steelers.\nClue 3: The person who owns a Versace is the person who smokes Davidoff.\nClue 4: The person who drinks orange juice is not the person who likes Sprite.\nClue 5: The person who eats grapes is the table tennis player.\nClue 6: The person who supports the Pittsburgh Steelers is immediately to the left of the person who owns a Gucci.\nClue 7: The Mexican is at one of the ends.\nClue 8: The person who likes paragliding is immediately to the left of the person who smokes Winston.\nClue 9: The person who drives the Toyota is immediately to the left of the person who likes skiing.\nClue 10: The person who smokes Blends is the Japanese.\nClue 11: The person who supports the Mavericks is the person who likes daisies.\nClue 12: The person who likes begonias is somewhere to the left of the person who lives in the green house.\nClue 13: The person who drives the Honda is somewhere to the left of Jones.\nClue 14: The person who lives in the indigo house is the person who eats kiwis.\nClue 15: The ice hockey player is at one of the ends.\nClue 16: The person who likes orchids is somewhere to the left of the person who likes cooking.\nClue 17: The person who likes Mountain Dew is somewhere in between the person who drives the Kawasaki and the cello player in that order.\nClue 18: The person who supports the Pittsburgh Steelers is at one of the ends.\nClue 19: The person who likes frogs is immediately to the left of the person who likes bungee jumping.\nClue 20: The person who likes Pepsi is next to the person who lives in the black house.\nClue 21: The person who drinks iced tea is somewhere in between the person who likes cheese making and the person who drinks milk in that order.\nClue 22: The person who likes paragliding is somewhere in between the person who drives the BMW and the person who owns a Tumi in that order.\nClue 23: The person who likes frogs is the person who supports the Buffalo Bills.\nClue 24: The person at the 4th position is the person who smokes Newport.\nClue 25: The person who likes lilies is somewhere to the left of the person who drives the Bajaj.\nClue 26: The person who drives the Ducati is next to the drums player.\nClue 27: The table tennis player is somewhere in between the person who eats blueberries and the person who eats mangoes in that order.\nClue 28: The person who likes hummingbirds is the person who smokes Blends.\nClue 29: The person who lives in the black house is somewhere to the left of the person who likes Mirinda.\nClue 30: The person who eats grapes is immediately to the left of the person who drives the Kawasaki.\nClue 31: The basketball player is next to the person who drives the Kawasaki.\nClue 32: The person who lives in the green house is the person who supports the Celtics.\nClue 33: The person who drinks orange juice is not the oboe player.\nClue 34: The person who drives the Benelli is somewhere in between the harmonica player and the person who likes cooking in that order.\nClue 35: The person who likes Limca is next to the person who likes coin collecting.\nClue 36: The cricket player is not the person who likes Mirinda.\nClue 37: The tennis player is the person who likes dahlias.\nClue 38: The person who supports the Carolina Panthers is immediately to the left of the Bangladeshi.\nClue 39: The person who eats mangoes is immediately to the left of the person who likes Mountain Dew.\nClue 40: The person who likes orchids is not the person who supports the Bulls.\nClue 41: The person who smokes Blue Master is immediately to the left of the person who likes bungee jumping.\nClue 42: The guitar player is not the person who likes crocheting.\nClue 43: The person who smokes Blue Master is somewhere to the left of the person who smokes Davidoff.\nClue 44: The person who likes kite flying is somewhere in between the person who drinks water and the ice hockey player in that order.\nClue 45: The person who likes cheese making is immediately to the left of the person who lives in the green house.\nClue 46: The person who supports the Suns is the person who lives in the teal house.\nClue 47: The person who lives in the teal house is somewhere in between the person who supports the Lakers and the person who likes cheese making in that order.\nClue 48: The person who likes peonies is the person who drinks iced tea.\nClue 49: The person who supports the Mavericks is at one of the ends.\nClue 50: The person who drinks iced tea is next to the person who drinks water.\nClue 51: The person who eats raspberries is at one of the ends.\nClue 52: The Japanese is next to the Israeli.\nClue 53: The person who supports the Mavericks is at one of the ends.\nClue 54: The person who likes begonias is next to the person who eats mangoes.\nClue 55: The person who likes crocheting is somewhere to the left of the person who likes bird watching.\nClue 56: The person who drinks water is somewhere in between the person who eats grapes and Jones in that order.\nClue 57: Nour is immediately to the left of the person who likes Fanta.\nClue 58: The person who likes coin collecting is the person who drives the Benelli.\nClue 59: Nour is the person who lives in the beige house.\nClue 60: The person who likes Fanta is somewhere to the left of the person who drinks hot chocolate.\nClue 61: The person who supports the Lakers is somewhere in between the person who drives the Honda and the drums player in that order.\nClue 62: The oboe player is not the person who likes dahlias.\nClue 63: The person who supports the Bucks is next to the basketball player.\nClue 64: The person who likes cheetahs is at one of the ends.\nClue 65: The person who likes dahlias is not the basketball player.\nClue 66: The person who likes bird watching is at one of the ends.\nClue 67: The person who supports the Bulls is somewhere to the left of the person who likes bird watching.\nClue 68: The person who likes orchids is not Jones.\nClue 69: The person who drives the Honda is immediately to the left of the person who owns a Versace.\nClue 70: The person who smokes Blends is immediately to the left of the person who likes viperfish.\nClue 71: The person who likes roses is at one of the ends.\nClue 72: The cello player is the person who eats kiwis.\nClue 73: The person who drives the Suzuki is the person who likes Pepsi.\nClue 74: The person who drinks water is somewhere in between the oboe player and the basketball player in that order.\nClue 75: The person who drives the Toyota is next to the person who likes hummingbirds.\nClue 76: The person who likes Mirinda is somewhere in between the person who drives the Honda and the person who drinks iced tea in that order.\nClue 77: The person who owns a Kate Spade is the person who smokes Pall Mall.\nClue 78: The person who supports the Pittsburgh Steelers is the person who drives the Toyota.\nClue 79: The table tennis player is somewhere in between the person who likes crocheting and the person who supports the Bucks in that order.\nClue 80: The person who drives the Tesla is immediately to the left of the person who likes swimming.\nClue 81: The guitar player is the person who drives the Kawasaki.\nClue 82: The Bangladeshi is somewhere to the left of the person who owns a Tumi.\nClue 83: The person who supports the Baltimore Ravens is next to the person who smokes Dunhill.\nClue 84: The baseball player is at one of the ends.\nClue 85: The basketball player is somewhere in between the table tennis player and the ice hockey player in that order.\nClue 86: Mandy is not the person who drinks beer.\nClue 87: The basketball player is immediately to the left of the person who likes 7up.\nClue 88: The table tennis player is next to the person who drives the Suzuki.\nClue 89: The person who supports the Cincinnati Bengals is immediately to the left of the person who owns a Tumi.\nClue 90: The person who likes 7up is the person who drinks milk.\nClue 91: The person who lives in the beige house is at one of the ends.\nClue 92: The ice hockey player is at one of the ends.\nClue 93: The Mexican is next to the person who owns a Michael Kors.\nClue 94: The person who likes biking is somewhere in between the person who owns a Gucci and the person who likes swimming in that order.\nClue 95: The person who likes gardening is at one of the ends.\nClue 96: The person who eats mangoes is somewhere in between the person who likes cheese making and the basketball player in that order.\nClue 97: The person who likes snorkeling is at one of the ends.\nClue 98: The person who supports the Pittsburgh Steelers is somewhere to the left of the person at the 5th position.\nClue 99: The person who lives in the teal house is not the person who drinks iced tea.\nClue 100: The person who likes Mirinda is the person who drives the Kawasaki.\nClue 101: The person who drives the BMW is next to the person who drives the Mercedes.\nClue 102: The person who owns a Michael Kors is immediately to the left of the person who drives the Audi.\nClue 103: Nour is at one of the ends.\nClue 104: The person who likes Mirinda is immediately to the left of the person who likes Mountain Dew.\nClue 105: The drums player is somewhere in between Yair and the person who likes begonias in that order.\nClue 106: The oboe player is not Jackson.\nClue 107: The person who drives the Suzuki is somewhere to the left of the person who likes bird watching.\nClue 108: The person who drives the Kawasaki is the person who likes Mirinda.\nClue 109: The person who likes dahlias is the person who lives in the green house.\nClue 110: The person who lives in the green house is not the person who likes Pepsi.\nClue 111: The basketball player is immediately to the left of the person who drinks milk.\nClue 112: The person who lives in the black house is somewhere to the left of the person who drives the Yamaha.\nClue 113: The person who drives the BMW is next to the person who smokes Dunhill.\nClue 114: The person who drinks beer is not the person who supports the Celtics.\nClue 115: The person who supports the Cavaliers is somewhere to the left of the cello player.\nClue 116: The person who eats blueberries is next to Jackson.\nClue 117: The person who drinks hot chocolate is somewhere in between the person who drives the Suzuki and the person who lives in the green house in that order.\nClue 118: The person who likes Mirinda is not the flute player.\nClue 119: The person who likes goldfish is immediately to the left of the person who likes biking.\nClue 120: The person who likes peonies is somewhere in between the person who supports the Celtics and the person who lives in the indigo house in that order.\nClue 121: The person who owns a Gucci is immediately to the left of the person who smokes Pall Mall.\nClue 122: The person who smokes Blue Master is somewhere to the left of the person who likes bungee jumping.\nClue 123: The person who likes gardening is next to the person who eats blueberries.\nClue 124: The person who eats blackberries is next to the guitar player.\nClue 125: The person who supports the New England Patriots is the Mexican.\nClue 126: The person who likes scuba diving is somewhere in between the Swiss and the person who owns a Dolce and Gabbana in that order.\nClue 127: The person who drinks iced tea is somewhere in between the person who likes dahlias and the person who drives the Bajaj in that order.\nClue 128: The person who likes bungee jumping is at one of the ends.\nClue 129: The person who lives in the yellow house is the piano player.\nClue 130: The person who drives the Honda is somewhere in between the person who drives the Tesla and the person who likes flamingoes in that order.\nClue 131: The person who drives the Bajaj is not the person who supports the Bulls.\nClue 132: The person who lives in the teal house is somewhere to the left of the person who likes dahlias.\nClue 133: The person who drives the Benelli is next to the person who likes daisies.\nClue 134: The piano player is somewhere in between the person who supports the Celtics and the person who likes 7up in that order.\nClue 135: The person who lives in the white house is somewhere in between the person who drives the Suzuki and the person who drinks water in that order.\nClue 136: The person who drives the Suzuki is not the person who likes Mountain Dew.\nClue 137: The table tennis player is somewhere to the left of the person who likes kite flying.\nClue 138: The person who likes crocheting is next to the person who likes Fanta.\nClue 139: The person who eats mangoes is immediately to the left of the person who supports the Bulls.\nClue 140: The basketball player is somewhere in between the person who supports the Cavaliers and the person who likes bird watching in that order.\nClue 141: The cricket player is somewhere to the left of the person who drinks iced tea.\nClue 142: The person who likes bungee jumping is next to the Iranian.\n\nQuestion: What position is the person who supports the Carolina Panthers at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:135", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone has a different favorite soft drink: Limca, Mountain Dew, Powerade, Fanta, Mirinda.\nEveryone supports a different NFL team: Cincinnati Bengals, Arizona Cardinals, Carolina Panthers, Miami Dolphins, San Francisco 49ers.\nEveryone reads a different genre of books: fantasy, mystery, history, short story, humor.\nEveryone lives in a different colored house: white, cyan, orange, brown, teal.\nEveryone drives a different motorbike: Honda, Benelli, Ducati, Buell, Kawasaki.\nEveryone likes a different food: fried rice, pizza, burgers, tacos, curry.\nEveryone supports a different NBA team: Hawks, Bucks, Knicks, Lakers, Celtics.\nEveryone plays a different sport: ice hockey, tennis, badminton, soccer, squash.\nEveryone likes a different favorite animal: kudus, swordfish, squirrels, hippopotamuses, sheep.\nEveryone drinks a different drink: hot chocolate, coffee, tea, orange juice, milk.\nEveryone plays a different musical instrument: harmonica, cello, piano, harp, guitar.\nEveryone likes a different type of flower: peonies, lilies, carnations, daffodils, begonias.\nEveryone smokes a different cigarette: Camel, Pall Mall, Winston, Davidoff, Blue Master.\nEveryone owns a different handbag brand: Versace, Balenciaga, Coach, Kate Spade, Tory Burch.\nEveryone likes a different fruit: bananas, grapes, pears, oranges, strawberries.\nEveryone has a different profession: writer, doctor, spy, athlete, dancer.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The cello player is somewhere to the left of the person who smokes Winston.\nClue 2: The person who likes curry is next to the person who likes Limca.\nClue 3: The person who lives in the brown house is somewhere to the left of the person who likes burgers.\nClue 4: The ice hockey player is at one of the ends.\nClue 5: The person who smokes Camel is somewhere to the left of the person who likes peonies.\nClue 6: The person who lives in the teal house is the person who likes burgers.\nClue 7: The harmonica player is the person who supports the Miami Dolphins.\nClue 8: The cello player is not the person who drives the Benelli.\nClue 9: The person who drives the Ducati is somewhere to the left of the squash player.\nClue 10: The person who supports the Bucks is the spy.\nClue 11: The person who lives in the white house is next to the person who likes carnations.\nClue 12: The person who likes hippopotamuses is somewhere in between the person who smokes Davidoff and the person who likes Fanta in that order.\nClue 13: The person who likes curry is somewhere in between the person who likes Mountain Dew and the person who smokes Winston in that order.\nClue 14: The person who drives the Ducati is somewhere to the left of the guitar player.\nClue 15: The person who likes squirrels is the person who drives the Kawasaki.\nClue 16: The person who reads mystery books is at one of the ends.\nClue 17: The person who likes kudus is somewhere to the left of the person who likes squirrels.\nClue 18: The person who likes burgers is at one of the ends.\nClue 19: The person who likes Limca is next to the person who lives in the cyan house.\nClue 20: The person who drives the Buell is somewhere in between the person who smokes Davidoff and the person who lives in the teal house in that order.\nClue 21: The person who lives in the orange house is the person who reads fantasy books.\nClue 22: The person who likes tacos is somewhere to the left of the person who likes pizza.\nClue 23: The person who likes fried rice is somewhere in between the person who supports the San Francisco 49ers and the person who likes peonies in that order.\nClue 24: The athlete is immediately to the left of the person who eats grapes.\nClue 25: The doctor is the person who owns a Balenciaga.\nClue 26: The person who smokes Winston is at one of the ends.\nClue 27: The writer is somewhere to the left of the person at the 5th position.\nClue 28: The person who lives in the brown house is somewhere in between the person who likes Mirinda and the person who reads short story books in that order.\nClue 29: The person who supports the Bucks is the person at the 4th position.\nClue 30: The person who likes lilies is at one of the ends.\nClue 31: The person who drives the Honda is somewhere to the left of the person who likes burgers.\nClue 32: The squash player is at one of the ends.\nClue 33: The piano player is the person who reads fantasy books.\nClue 34: The person who drives the Honda is the person who likes Powerade.\nClue 35: The person who likes swordfish is next to the person who likes hippopotamuses.\nClue 36: The guitar player is next to the tennis player.\nClue 37: The person who supports the Hawks is next to the person who supports the Lakers.\nClue 38: The person who eats grapes is immediately to the left of the spy.\nClue 39: The person who reads humor books is somewhere to the left of the person who likes squirrels.\nClue 40: The person who reads mystery books is at one of the ends.\nClue 41: The person who supports the Carolina Panthers is somewhere in between the person who lives in the white house and the person who likes Fanta in that order.\nClue 42: The person who supports the Lakers is immediately to the left of the person who eats bananas.\nClue 43: The person who owns a Balenciaga is immediately to the left of the person who owns a Versace.\nClue 44: The person who owns a Kate Spade is somewhere in between the person who owns a Tory Burch and the person who owns a Coach in that order.\nClue 45: The person who smokes Winston is at one of the ends.\nClue 46: The harp player is at one of the ends.\nClue 47: The person who likes hippopotamuses is not the ice hockey player.\nClue 48: The person who likes Fanta is somewhere in between the person who likes begonias and the person who likes burgers in that order.\nClue 49: The person who drives the Kawasaki is next to the person who likes peonies.\nClue 50: The person who supports the Carolina Panthers is somewhere in between the person who likes pizza and the squash player in that order.\nClue 51: The person who supports the Carolina Panthers is somewhere in between the person who likes swordfish and the person who drives the Ducati in that order.\nClue 52: The person who likes sheep is somewhere in between the person who likes Mountain Dew and the guitar player in that order.\nClue 53: The badminton player is immediately to the left of the person who supports the Miami Dolphins.\nClue 54: The person who likes daffodils is next to the person who drives the Benelli.\nClue 55: The person who drives the Kawasaki is the person who likes burgers.\nClue 56: The person who likes peonies is somewhere in between the person who smokes Camel and the guitar player in that order.\nClue 57: The person who reads history books is somewhere in between the person who likes swordfish and the tennis player in that order.\nClue 58: The person who lives in the white house is not the person who likes Mountain Dew.\nClue 59: The person who drives the Benelli is not the person who reads humor books.\nClue 60: The person who smokes Davidoff is immediately to the left of the person who likes fried rice.\nClue 61: The person who owns a Versace is immediately to the left of the person who drinks hot chocolate.\nClue 62: The person who likes begonias is immediately to the left of the person who smokes Blue Master.\nClue 63: The person who likes burgers is at one of the ends.\nClue 64: The person who supports the Miami Dolphins is somewhere in between the person who lives in the brown house and the person who likes burgers in that order.\nClue 65: The person who likes kudus is immediately to the left of the person who smokes Davidoff.\nClue 66: The person who lives in the white house is next to the person who smokes Davidoff.\nClue 67: The person who supports the Miami Dolphins is not the person who likes Powerade.\nClue 68: The person who likes begonias is somewhere to the left of the person who likes lilies.\nClue 69: The person who drives the Kawasaki is at one of the ends.\nClue 70: The person who likes Mirinda is immediately to the left of the person who supports the Carolina Panthers.\nClue 71: The person who reads short story books is somewhere to the left of the person who reads mystery books.\nClue 72: The person who smokes Winston is the person who likes Limca.\nClue 73: The person who likes daffodils is not the person who reads fantasy books.\nClue 74: The soccer player is the person who smokes Davidoff.\nClue 75: The person who likes pizza is immediately to the left of the person who lives in the brown house.\nClue 76: The harmonica player is not the person who likes Mirinda.\nClue 77: The person who supports the Knicks is the person who drinks coffee.\nClue 78: The person at the 5th position is the person who eats pears.\nClue 79: The person who drives the Ducati is somewhere in between the person who likes fried rice and the person who reads mystery books in that order.\nClue 80: The person who reads mystery books is at one of the ends.\nClue 81: The tennis player is somewhere in between the person who likes begonias and the squash player in that order.\nClue 82: The person who drives the Buell is next to the soccer player.\nClue 83: The person who lives in the cyan house is somewhere in between the person who lives in the white house and the person who likes burgers in that order.\nClue 84: The person who likes Powerade is next to the person who likes swordfish.\nClue 85: The person who likes lilies is at one of the ends.\nClue 86: The person who lives in the brown house is not the person who reads humor books.\nClue 87: The person who likes fried rice is not the squash player.\nClue 88: The person who supports the Hawks is somewhere to the left of the person who drinks hot chocolate.\nClue 89: The person who drives the Ducati is the person who likes peonies.\nClue 90: The person who likes pizza is somewhere to the left of the tennis player.\nClue 91: The person who lives in the white house is somewhere to the left of the person who lives in the teal house.\nClue 92: The person who drives the Buell is the person who reads history books.\nClue 93: The person who supports the Miami Dolphins is not the person who reads mystery books.\nClue 94: The person who smokes Camel is somewhere to the left of the person who supports the Arizona Cardinals.\nClue 95: The ice hockey player is immediately to the left of the person who likes swordfish.\nClue 96: The ice hockey player is not the person who lives in the brown house.\nClue 97: The person who likes begonias is somewhere in between the person who drives the Honda and the person who reads short story books in that order.\nClue 98: The person who supports the Arizona Cardinals is the squash player.\nClue 99: The ice hockey player is the person who drives the Honda.\nClue 100: The person who supports the Bucks is somewhere in between the person who owns a Versace and the person who drinks orange juice in that order.\nClue 101: The person who likes carnations is somewhere to the left of the person who supports the Carolina Panthers.\nClue 102: The person who likes peonies is immediately to the left of the person who likes Limca.\nClue 103: The person who likes begonias is immediately to the left of the person who likes Fanta.\nClue 104: The person who drives the Buell is somewhere in between the person who reads fantasy books and the person who smokes Blue Master in that order.\nClue 105: The person who likes sheep is not the person who drives the Kawasaki.\nClue 106: The person who lives in the white house is immediately to the left of the person who likes Mirinda.\nClue 107: The person who smokes Pall Mall is not the person who drives the Benelli.\nClue 108: The person who likes curry is immediately to the left of the person who reads mystery books.\nClue 109: The person who drinks milk is the person who supports the Bucks.\nClue 110: The badminton player is somewhere in between the person who likes pizza and the person who drives the Ducati in that order.\nClue 111: The person who likes tacos is immediately to the left of the person who likes swordfish.\nClue 112: The person who likes daffodils is the ice hockey player.\nClue 113: The person who likes Fanta is somewhere in between the person who drives the Buell and the person who likes burgers in that order.\nClue 114: The person who lives in the teal house is at one of the ends.\nClue 115: The person who eats strawberries is next to the person who eats oranges.\nClue 116: The person who lives in the teal house is at one of the ends.\nClue 117: The person who drives the Benelli is next to the person who reads humor books.\nClue 118: The person who owns a Balenciaga is the person who eats strawberries.\n\nQuestion: What position is the person who drinks coffee at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:136", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone supports a different NBA team: Knicks, Mavericks, Hawks, Celtics, Bucks, Warriors, Lakers.\nEveryone likes a different type of gemstone: Jade, Opals, Obsidians, Diamonds, Dolomites, Topaz, Sapphires.\nEveryone has a different profession: designer, teacher, doctor, engineer, singer, programmer, dancer.\nEveryone drinks a different drink: beer, iced tea, hot chocolate, lemonade, tea, orange juice, milk.\nEveryone drives a different car: Honda, Mercedes, Lexus, BMW, Kia, Tesla, Hyundai.\nEveryone has a different name: Jackson, Mandy, Nour, Tao, Ali, Michael, Doug.\nEveryone likes a different physical activity: scuba diving, biking, swimming, paragliding, hiking, weight lifting, skiing.\nEveryone smokes a different cigarette: Newport, Camel, Winston, Salem, Dunhill, Pall Mall, Davidoff.\nEveryone lives in a different colored house: red, turquoise, black, grey, cyan, blue, violet.\nEveryone drives a different motorbike: Bajaj, Ducati, Piaggio, Honda, Yamaha, Benelli, Suzuki.\nEveryone reads a different genre of books: spiritual, fantasy, humor, short story, history, mystery, science fiction.\nEveryone has a different favorite hobby: dancing, origami, kite flying, quilting, fishing, mixology, kayaking.\nEveryone owns a different handbag brand: Tumi, Gucci, Kate Spade, Versace, Coach, Polo Ralph Lauren, Balenciaga.\nEveryone plays a different sport: soccer, volleyball, ice hockey, tennis, table tennis, basketball, cricket.\nEveryone supports a different NFL team: Buffalo Bills, Miami Dolphins, Pittsburgh Steelers, Seattle Seahawks, Carolina Panthers, Los Angeles Rams, Kansas City Chiefs.\nEveryone likes a different fruit: bananas, blueberries, oranges, mangoes, strawberries, grapes, blackberries.\nEveryone has a different favorite soft drink: Mountain Dew, Canada Dry, Sprite, Pepsi, 7up, Fanta, Dr Pepper.\nEveryone likes a different favorite animal: halibut, geese, ravens, amberjacks, bison, walruses, bees.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Miami Dolphins is at one of the ends.\nClue 2: The person who likes Obsidians is not Mandy.\nClue 3: The person who likes bees is at one of the ends.\nClue 4: The person who owns a Gucci is the person who lives in the turquoise house.\nClue 5: The person who drives the Honda is the person who likes Obsidians.\nClue 6: The person who likes halibut is next to the basketball player.\nClue 7: The person who supports the Los Angeles Rams is somewhere to the left of the person who drinks milk.\nClue 8: The person who likes Diamonds is the person who drinks tea.\nClue 9: The engineer is immediately to the left of the person who smokes Davidoff.\nClue 10: The person who supports the Carolina Panthers is immediately to the left of Doug.\nClue 11: The basketball player is somewhere in between the person who likes Jade and the person who likes kayaking in that order.\nClue 12: The person who likes scuba diving is the person who drives the Ducati.\nClue 13: The person at the 2nd position is the person who owns a Gucci.\nClue 14: The person who drinks lemonade is somewhere in between Michael and the person who likes fishing in that order.\nClue 15: The person who likes dancing is next to the person who supports the Buffalo Bills.\nClue 16: The person who likes quilting is not the person who smokes Camel.\nClue 17: The person who smokes Camel is somewhere in between the person who supports the Carolina Panthers and the person who likes walruses in that order.\nClue 18: The person who likes amberjacks is next to the teacher.\nClue 19: The person who smokes Winston is at one of the ends.\nClue 20: The person who likes Sprite is immediately to the left of the person who likes Dr Pepper.\nClue 21: The basketball player is somewhere in between the person who drinks lemonade and the person who drinks tea in that order.\nClue 22: The person who supports the Kansas City Chiefs is somewhere in between the basketball player and the cricket player in that order.\nClue 23: The person who lives in the black house is the person who reads spiritual books.\nClue 24: The person who supports the Buffalo Bills is Ali.\nClue 25: The volleyball player is next to the person who likes Opals.\nClue 26: The person who supports the Bucks is not the person who supports the Seattle Seahawks.\nClue 27: The ice hockey player is somewhere to the left of the person who drives the Lexus.\nClue 28: The person who drives the Hyundai is not the person who supports the Hawks.\nClue 29: The person who likes origami is somewhere in between the person who supports the Hawks and the teacher in that order.\nClue 30: The person who drinks tea is next to the person who likes Opals.\nClue 31: The person who owns a Versace is next to the person who likes weight lifting.\nClue 32: Michael is not the doctor.\nClue 33: The person who supports the Carolina Panthers is immediately to the left of the person who likes fishing.\nClue 34: The person who likes amberjacks is somewhere in between the person who likes bees and the person who likes Opals in that order.\nClue 35: The person who likes Topaz is somewhere to the left of the person who drives the Lexus.\nClue 36: The person who likes Jade is not the dancer.\nClue 37: The person who likes kayaking is immediately to the left of the person who supports the Buffalo Bills.\nClue 38: The volleyball player is at one of the ends.\nClue 39: The person who likes origami is the programmer.\nClue 40: The singer is the ice hockey player.\nClue 41: The person who supports the Lakers is somewhere in between the person who likes amberjacks and the doctor in that order.\nClue 42: The person who eats bananas is the person who reads fantasy books.\nClue 43: The person who drinks beer is next to the programmer.\nClue 44: The person who supports the Seattle Seahawks is not the doctor.\nClue 45: The person who likes Pepsi is the person who eats grapes.\nClue 46: The person who drinks orange juice is the designer.\nClue 47: The person who supports the Mavericks is somewhere in between the person who supports the Knicks and the person who likes ravens in that order.\nClue 48: The person who owns a Kate Spade is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 49: The person who eats mangoes is immediately to the left of the person who reads science fiction books.\nClue 50: The person who likes bees is the singer.\nClue 51: The person who lives in the grey house is the person who eats oranges.\nClue 52: The person who supports the Kansas City Chiefs is the person who smokes Camel.\nClue 53: The ice hockey player is somewhere to the left of Jackson.\nClue 54: The table tennis player is somewhere in between the person who smokes Dunhill and the person who supports the Miami Dolphins in that order.\nClue 55: The person who likes Canada Dry is the person who eats blackberries.\nClue 56: The person who likes kite flying is Ali.\nClue 57: The person who drives the Suzuki is the person who likes Mountain Dew.\nClue 58: The person who likes origami is somewhere to the left of the person who likes ravens.\nClue 59: The person who smokes Salem is not Tao.\nClue 60: The person who reads humor books is at one of the ends.\nClue 61: The person who reads science fiction books is the person who owns a Gucci.\nClue 62: The person who smokes Camel is the table tennis player.\nClue 63: The person who drives the Honda is not the person who supports the Miami Dolphins.\nClue 64: The person who drinks hot chocolate is next to the person who drinks orange juice.\nClue 65: The person who owns a Kate Spade is immediately to the left of the person who lives in the grey house.\nClue 66: Ali is the person who likes Opals.\nClue 67: The person who likes Dolomites is the person who likes amberjacks.\nClue 68: The person who drives the Lexus is the volleyball player.\nClue 69: The person who lives in the cyan house is at one of the ends.\nClue 70: The person who drives the Kia is the cricket player.\nClue 71: The person who likes Topaz is the person who drives the BMW.\nClue 72: The singer is at one of the ends.\nClue 73: The person who drives the Lexus is at one of the ends.\nClue 74: The person who owns a Tumi is at one of the ends.\nClue 75: The person who likes Sprite is immediately to the left of the person who likes biking.\nClue 76: The person who likes amberjacks is not the person who drinks orange juice.\nClue 77: The person who drives the Suzuki is immediately to the left of the person who eats blackberries.\nClue 78: The person who drinks orange juice is the person who supports the Celtics.\nClue 79: The person who supports the Hawks is the person who smokes Winston.\nClue 80: Mandy is not the person who smokes Winston.\nClue 81: The person who reads mystery books is the person who likes Pepsi.\nClue 82: The person who owns a Balenciaga is next to the person who reads short story books.\nClue 83: The person who drives the Kia is somewhere in between the person who smokes Camel and the person who drinks tea in that order.\nClue 84: Michael is next to the person who likes Jade.\nClue 85: The person who likes Jade is not Doug.\nClue 86: The person who likes walruses is not the person who likes Jade.\nClue 87: The person who likes Fanta is the person who lives in the black house.\nClue 88: The person who supports the Hawks is at one of the ends.\nClue 89: Tao is the person who drinks milk.\nClue 90: The person who likes ravens is not the tennis player.\nClue 91: The person who likes mixology is at one of the ends.\nClue 92: Tao is somewhere in between Doug and the person who smokes Davidoff in that order.\nClue 93: The person who likes fishing is somewhere in between the person who likes origami and the person who supports the Lakers in that order.\nClue 94: The person who supports the Lakers is not the person who smokes Newport.\nClue 95: The person who owns a Gucci is immediately to the left of the person who drives the Yamaha.\nClue 96: The person who drives the Suzuki is next to the person who drives the Benelli.\nClue 97: The person who supports the Lakers is somewhere in between the person who drinks orange juice and the person who supports the Bucks in that order.\nClue 98: The person who likes Fanta is somewhere in between the person who likes Pepsi and the person who eats blueberries in that order.\nClue 99: The person who eats grapes is the person who likes scuba diving.\nClue 100: The singer is immediately to the left of the person who drives the Hyundai.\nClue 101: The person who likes biking is next to the person who likes Pepsi.\nClue 102: The person who lives in the red house is at one of the ends.\nClue 103: The person who reads spiritual books is next to the person who lives in the blue house.\nClue 104: The person who drives the Hyundai is immediately to the left of the person who drives the Honda.\nClue 105: The person who likes halibut is somewhere in between the person who supports the Hawks and the person who drinks tea in that order.\nClue 106: The person who drives the Bajaj is at one of the ends.\nClue 107: The ice hockey player is the person who supports the Hawks.\nClue 108: Nour is the person who likes Obsidians.\nClue 109: The person who likes Pepsi is somewhere to the left of the person who drives the Piaggio.\nClue 110: Ali is somewhere to the left of the person who drives the Lexus.\nClue 111: The person who eats bananas is somewhere in between the person who likes hiking and the person who likes biking in that order.\nClue 112: The person who lives in the cyan house is next to the person who owns a Gucci.\nClue 113: The person who likes paragliding is at one of the ends.\nClue 114: The person who likes kayaking is somewhere in between the person who supports the Celtics and the person who supports the Warriors in that order.\nClue 115: The person who drinks iced tea is next to the person who drinks milk.\nClue 116: The person who likes origami is the person who drives the Hyundai.\nClue 117: The person who drives the Bajaj is the person who likes skiing.\nClue 118: The person who supports the Knicks is not the doctor.\nClue 119: The person who smokes Pall Mall is somewhere in between the tennis player and the dancer in that order.\nClue 120: The person who supports the Miami Dolphins is the person who likes Diamonds.\nClue 121: The person who supports the Mavericks is the person who drinks hot chocolate.\nClue 122: Ali is not the table tennis player.\nClue 123: The person who likes bees is at one of the ends.\nClue 124: The person who owns a Coach is next to the person who reads science fiction books.\nClue 125: The person who likes Diamonds is at one of the ends.\nClue 126: The person who likes origami is not the person who likes bees.\nClue 127: The person who supports the Lakers is somewhere in between the person who likes amberjacks and the volleyball player in that order.\nClue 128: The designer is the person who likes Obsidians.\nClue 129: The person who smokes Pall Mall is the person who drives the Honda.\nClue 130: The basketball player is somewhere to the left of the person who likes halibut.\nClue 131: The person who smokes Camel is not the soccer player.\nClue 132: The person who smokes Salem is immediately to the left of the person who supports the Celtics.\nClue 133: The person who drives the Tesla is next to the person who supports the Carolina Panthers.\nClue 134: The person who supports the Knicks is somewhere to the left of the cricket player.\nClue 135: The person who drives the Yamaha is the person who likes Sprite.\nClue 136: The person who likes bees is not the person who smokes Dunhill.\nClue 137: The person who smokes Davidoff is next to the person who supports the Bucks.\nClue 138: The person who drinks hot chocolate is somewhere in between the designer and the person who drives the Kia in that order.\n\nQuestion: What position is the person who likes weight lifting at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:137", "request": "There are 7 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7 who have the following characteristics.\nEveryone plays a different musical instrument: piano, flute, cello, guitar, saxophone, harp, drums.\nEveryone has a different favorite soft drink: Canada Dry, Powerade, Dr Pepper, Gatorade, Fanta, Limca, Mirinda.\nEveryone smokes a different cigarette: Blue Master, Newport, Pall Mall, Salem, Winston, Dunhill, Blends.\nEveryone owns a different handbag brand: Dolce and Gabbana, Tory Burch, Gucci, Polo Ralph Lauren, Coach, Versace, Michael Kors.\nEveryone has a different name: Mallika, Rajiv, Siva, Joseph, Noah, Margaret, Bob.\nEveryone likes a different fruit: blueberries, pears, oranges, strawberries, bananas, raspberries, apples.\nEveryone lives in a different colored house: red, violet, pink, gold, yellow, teal, cyan.\nEveryone has a different favorite hobby: wine making, video games, biking, photography, kayaking, quilting, juggling.\nEveryone drinks a different drink: milk, water, coffee, lemonade, hot chocolate, iced tea, orange juice.\nEveryone reads a different genre of books: short story, mystery, humor, magical realism, romance, fantasy, science fiction.\nEveryone likes a different physical activity: base jumping, weight lifting, bungee jumping, running, scuba diving, paragliding, hiking.\nEveryone drives a different motorbike: Yamaha, Suzuki, Buell, Honda, Kawasaki, Harley-Davidson, Benelli.\nEveryone likes a different type of gemstone: Aquamarines, Obsidians, Jade, Dolomites, Corals, Rubies, Ambers.\nEveryone plays a different sport: volleyball, basketball, ice hockey, squash, badminton, cricket, tennis.\nEveryone is a different nationality: Malaysian, Irish, Italian, Bangladeshi, Swiss, Croatian, Korean.\nEveryone has a different profession: designer, artist, spy, singer, teacher, doctor, actor.\nEveryone supports a different NFL team: Detroit Lions, Cincinnati Bengals, Atlanta Falcons, Seattle Seahawks, Kansas City Chiefs, Buffalo Bills, Arizona Cardinals.\nEveryone drives a different car: Mercedes, McLaren, Ford, Ferrari, Tesla, BMW, Audi.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who supports the Cincinnati Bengals is immediately to the left of the person who likes Ambers.\nClue 2: The person who supports the Detroit Lions is somewhere to the left of the person who likes weight lifting.\nClue 3: Siva is immediately to the left of the person who drives the Buell.\nClue 4: The person who likes Corals is immediately to the left of the person who smokes Newport.\nClue 5: The person who smokes Dunhill is immediately to the left of Mallika.\nClue 6: The person who supports the Cincinnati Bengals is not the artist.\nClue 7: The person at the 2nd position is next to the person who owns a Michael Kors.\nClue 8: The person who likes biking is next to the Croatian.\nClue 9: The person who likes Dolomites is the person who drinks water.\nClue 10: The flute player is somewhere in between the harp player and the person who eats blueberries in that order.\nClue 11: The cello player is at one of the ends.\nClue 12: The person who eats pears is immediately to the left of the person who eats strawberries.\nClue 13: Noah is somewhere in between the person who likes running and Joseph in that order.\nClue 14: The person who likes paragliding is next to the person who smokes Dunhill.\nClue 15: The person who likes wine making is the person who likes Gatorade.\nClue 16: The person who likes Rubies is immediately to the left of the teacher.\nClue 17: The person who likes running is next to the person who drives the Honda.\nClue 18: The person at the 4th position is next to the person who drives the Ford.\nClue 19: The volleyball player is at one of the ends.\nClue 20: The person who likes Jade is next to Rajiv.\nClue 21: The person who likes Ambers is not the person who supports the Cincinnati Bengals.\nClue 22: The actor is not the person who eats blueberries.\nClue 23: The person who drives the Suzuki is the badminton player.\nClue 24: Siva is not the person who drives the Suzuki.\nClue 25: The person who reads romance books is the person who likes quilting.\nClue 26: The person who reads science fiction books is the person who likes kayaking.\nClue 27: The person who reads magical realism books is the person who lives in the yellow house.\nClue 28: The person who owns a Tory Burch is the person who likes wine making.\nClue 29: The person who eats apples is immediately to the left of the person who drives the Harley-Davidson.\nClue 30: The person who smokes Winston is somewhere to the left of the person who eats pears.\nClue 31: The person who likes Limca is somewhere in between the person who drives the BMW and the person who likes video games in that order.\nClue 32: The harp player is the singer.\nClue 33: The person who smokes Blue Master is next to Noah.\nClue 34: The person who likes running is immediately to the left of the person who likes Dolomites.\nClue 35: The person who supports the Kansas City Chiefs is somewhere to the left of the person who supports the Cincinnati Bengals.\nClue 36: The person who supports the Atlanta Falcons is not the badminton player.\nClue 37: The person who likes video games is the person who reads mystery books.\nClue 38: The person who smokes Newport is the flute player.\nClue 39: The person at the 4th position is the person who likes Dr Pepper.\nClue 40: The person who owns a Dolce and Gabbana is immediately to the left of the person who lives in the pink house.\nClue 41: The person who drives the Honda is immediately to the left of Noah.\nClue 42: The person who owns a Polo Ralph Lauren is immediately to the left of the person who likes photography.\nClue 43: The spy is immediately to the left of the actor.\nClue 44: The flute player is not the person who smokes Blends.\nClue 45: The person who likes bungee jumping is not the person who eats pears.\nClue 46: The piano player is not the person who drinks orange juice.\nClue 47: The person who likes Aquamarines is not the person who likes paragliding.\nClue 48: The person who lives in the gold house is next to the person who drives the McLaren.\nClue 49: The singer is at one of the ends.\nClue 50: The person who likes Gatorade is immediately to the left of the person who reads short story books.\nClue 51: The spy is somewhere to the left of the ice hockey player.\nClue 52: The person who likes biking is the person who drives the Audi.\nClue 53: The person who lives in the teal house is immediately to the left of the person who drives the Ford.\nClue 54: The person who supports the Seattle Seahawks is somewhere to the left of the person who drinks orange juice.\nClue 55: Noah is immediately to the left of the drums player.\nClue 56: The person who likes hiking is somewhere to the left of the person who likes Obsidians.\nClue 57: The person who smokes Newport is immediately to the left of the teacher.\nClue 58: The harp player is not the person who likes base jumping.\nClue 59: The person who owns a Gucci is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 60: The doctor is not Rajiv.\nClue 61: The person who likes paragliding is the cello player.\nClue 62: The person who likes Jade is at one of the ends.\nClue 63: The person who likes Aquamarines is somewhere in between the person who drinks water and the person who drinks lemonade in that order.\nClue 64: The person who likes Jade is at one of the ends.\nClue 65: The person who owns a Versace is the person at the 3rd position.\nClue 66: The person who likes Limca is the Italian.\nClue 67: The person who eats apples is immediately to the left of the person who eats oranges.\nClue 68: The person who lives in the teal house is next to the person who lives in the violet house.\nClue 69: Bob is somewhere to the left of the cello player.\nClue 70: The person who reads mystery books is at one of the ends.\nClue 71: The person who likes Rubies is somewhere in between the person who likes scuba diving and the ice hockey player in that order.\nClue 72: The guitar player is immediately to the left of the person who supports the Buffalo Bills.\nClue 73: The cricket player is somewhere in between the piano player and the person who supports the Seattle Seahawks in that order.\nClue 74: The basketball player is not the person who eats raspberries.\nClue 75: The Irish is the person who lives in the gold house.\nClue 76: The artist is somewhere to the left of the person who likes Obsidians.\nClue 77: The Malaysian is the person who reads magical realism books.\nClue 78: The tennis player is somewhere to the left of the person who likes bungee jumping.\nClue 79: The person who eats oranges is not the person who drinks hot chocolate.\nClue 80: The person who likes Corals is next to the person who drinks hot chocolate.\nClue 81: The person who drives the Tesla is somewhere to the left of the person who lives in the violet house.\nClue 82: The singer is not the person who supports the Buffalo Bills.\nClue 83: The person who eats strawberries is somewhere in between the person who drinks hot chocolate and the person who likes paragliding in that order.\nClue 84: The person who drives the Harley-Davidson is somewhere in between the piano player and Joseph in that order.\nClue 85: The Korean is the person who likes biking.\nClue 86: The person who drives the Harley-Davidson is somewhere to the left of Mallika.\nClue 87: The person who drinks lemonade is next to the saxophone player.\nClue 88: The person who likes wine making is immediately to the left of the person who drives the Mercedes.\nClue 89: The Swiss is immediately to the left of the person who likes kayaking.\nClue 90: The person who eats pears is somewhere in between the person who supports the Detroit Lions and the person who likes bungee jumping in that order.\nClue 91: The person who drives the Honda is not the person who likes Ambers.\nClue 92: The person who likes Mirinda is the person who drives the Mercedes.\nClue 93: The person who likes Aquamarines is somewhere to the left of Joseph.\nClue 94: The person who supports the Arizona Cardinals is next to Noah.\nClue 95: The designer is at one of the ends.\nClue 96: Mallika is not the person who smokes Pall Mall.\nClue 97: The person who likes Ambers is the person who drives the Buell.\nClue 98: The person who smokes Dunhill is somewhere in between the person who likes Rubies and the person who eats blueberries in that order.\nClue 99: The person who supports the Detroit Lions is at one of the ends.\nClue 100: Margaret is at one of the ends.\nClue 101: The designer is at one of the ends.\nClue 102: The person who likes bungee jumping is next to the person who likes base jumping.\nClue 103: The person who reads humor books is somewhere in between the person who drives the McLaren and the person who reads fantasy books in that order.\nClue 104: The person who likes video games is the person who owns a Coach.\nClue 105: The person who drinks hot chocolate is not the person who likes Dolomites.\nClue 106: The person who likes Canada Dry is at one of the ends.\nClue 107: The person who smokes Dunhill is immediately to the left of the person who eats blueberries.\nClue 108: The person who likes kayaking is immediately to the left of the Italian.\nClue 109: The person who likes Ambers is somewhere to the left of the cello player.\nClue 110: The person who likes base jumping is next to the person who likes bungee jumping.\nClue 111: The person who likes bungee jumping is immediately to the left of the designer.\nClue 112: The person who likes paragliding is at one of the ends.\nClue 113: The person who supports the Seattle Seahawks is somewhere in between the person who drinks hot chocolate and the person who supports the Buffalo Bills in that order.\nClue 114: The person who supports the Detroit Lions is not the cricket player.\nClue 115: The person who likes hiking is somewhere to the left of the person who eats oranges.\nClue 116: The ice hockey player is somewhere to the left of the person who likes Obsidians.\nClue 117: The person who likes base jumping is immediately to the left of the person who eats strawberries.\nClue 118: The person who drinks orange juice is the person who eats blueberries.\nClue 119: The person who owns a Tory Burch is immediately to the left of the person who owns a Versace.\nClue 120: The person who likes Limca is the person who drives the Ford.\nClue 121: Margaret is immediately to the left of the person who supports the Arizona Cardinals.\nClue 122: The singer is the person who drinks milk.\nClue 123: The person who likes hiking is the person who eats apples.\nClue 124: The person who lives in the gold house is the person who likes Fanta.\nClue 125: The person who likes Aquamarines is Noah.\nClue 126: The cello player is at one of the ends.\nClue 127: The person who smokes Salem is next to the person who likes Ambers.\nClue 128: The person who drinks iced tea is immediately to the left of the designer.\nClue 129: The person who likes bungee jumping is next to Siva.\nClue 130: The cricket player is somewhere in between Rajiv and the person who drives the Buell in that order.\nClue 131: The person who drives the McLaren is the person at the 2nd position.\nClue 132: The person who drives the BMW is somewhere in between the person who lives in the violet house and the person who drives the Audi in that order.\nClue 133: The person who drinks iced tea is immediately to the left of the person who drives the Suzuki.\nClue 134: The badminton player is at one of the ends.\nClue 135: The person who supports the Seattle Seahawks is not the person who eats blueberries.\nClue 136: The person who lives in the cyan house is next to the person who likes biking.\nClue 137: The person who likes Jade is not the person who eats pears.\nClue 138: The person who drinks orange juice is the person who likes Obsidians.\nClue 139: The person who drives the Buell is not the person who eats apples.\n\nQuestion: What position is the person who owns a Coach at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:138", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone is a different nationality: Iranian, Australian, Spanish, Chinese, Pakistani, Canadian.\nEveryone smokes a different cigarette: Winston, Pall Mall, Camel, Blends, Blue Master, Davidoff.\nEveryone plays a different sport: squash, baseball, badminton, soccer, table tennis, ice hockey.\nEveryone likes a different type of flower: marigolds, tulips, orchids, begonias, daisies, dahlias.\nEveryone owns a different handbag brand: Tory Burch, Michael Kors, Kate Spade, Tumi, Balenciaga, Polo Ralph Lauren.\nEveryone likes a different physical activity: snorkeling, biking, scuba diving, paragliding, swimming, base jumping.\nEveryone has a different favorite soft drink: Dr Pepper, Limca, Mountain Dew, Mirinda, Coke, Fanta.\nEveryone supports a different NFL team: Philadelphia Eagles, Green Bay Packers, Detroit Lions, Pittsburgh Steelers, Denver Broncos, Kansas City Chiefs.\nEveryone likes a different food: curry, fried rice, noodles, pizza, soups, kebabs.\nEveryone likes a different fruit: kiwis, blackberries, bananas, blueberries, grapes, oranges.\nEveryone plays a different musical instrument: piano, harp, flute, cello, guitar, drums.\nEveryone lives in a different colored house: gold, red, green, brown, magenta, white.\nEveryone drives a different motorbike: Piaggio, Harley-Davidson, Bajaj, Ducati, Kawasaki, Benelli.\nEveryone likes a different favorite animal: gadwalls, salmon, panda bears, camels, dinosaurs, goats.\nEveryone has a different name: Randy, Charlie, Mallika, Michael, Maven, Mandy.\nEveryone has a different profession: dancer, actor, engineer, doctor, writer, architect.\nEveryone likes a different type of gemstone: Sapphires, Corals, Pearls, Aquamarines, Topaz, Ambers.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The drums player is next to the person who likes Corals.\nClue 2: The person who likes Sapphires is not the person who likes paragliding.\nClue 3: The person who supports the Denver Broncos is not the person who likes Aquamarines.\nClue 4: The guitar player is somewhere to the left of the person who supports the Kansas City Chiefs.\nClue 5: The person who smokes Blue Master is the person who owns a Balenciaga.\nClue 6: The person who likes Aquamarines is at one of the ends.\nClue 7: The person who smokes Camel is at one of the ends.\nClue 8: The dancer is the person who likes fried rice.\nClue 9: Randy is next to the person who supports the Green Bay Packers.\nClue 10: The person who eats blackberries is somewhere in between the badminton player and the person who smokes Camel in that order.\nClue 11: The person who likes Sapphires is next to the person who likes pizza.\nClue 12: The person who likes begonias is next to the baseball player.\nClue 13: The person who likes snorkeling is somewhere in between the person who supports the Philadelphia Eagles and Mallika in that order.\nClue 14: The person who likes Coke is somewhere in between the person who likes soups and the doctor in that order.\nClue 15: The person who likes Sapphires is somewhere in between Charlie and the person who likes Topaz in that order.\nClue 16: The writer is somewhere in between the person who likes pizza and the person who drives the Harley-Davidson in that order.\nClue 17: The person who likes Topaz is the person who supports the Green Bay Packers.\nClue 18: The person who eats blueberries is somewhere in between the person who eats grapes and the person who lives in the red house in that order.\nClue 19: Mallika is somewhere in between the person who supports the Detroit Lions and the person who likes paragliding in that order.\nClue 20: The person who likes Sapphires is the writer.\nClue 21: The person who supports the Denver Broncos is not the person who likes Sapphires.\nClue 22: The person who drives the Harley-Davidson is the person who likes Topaz.\nClue 23: Charlie is not the person who likes swimming.\nClue 24: The flute player is somewhere in between the person who drives the Harley-Davidson and the harp player in that order.\nClue 25: The person who drives the Kawasaki is somewhere to the left of the person who likes Dr Pepper.\nClue 26: The person who owns a Balenciaga is somewhere in between the squash player and the person who owns a Tumi in that order.\nClue 27: The person who drives the Ducati is somewhere to the left of Michael.\nClue 28: The cello player is next to the person who likes Pearls.\nClue 29: The doctor is the harp player.\nClue 30: The Canadian is immediately to the left of the Iranian.\nClue 31: The dancer is not the person who drives the Ducati.\nClue 32: The person who likes Aquamarines is immediately to the left of the person who supports the Philadelphia Eagles.\nClue 33: Mallika is somewhere in between the Spanish and the harp player in that order.\nClue 34: The person who likes camels is next to the person who likes Sapphires.\nClue 35: The engineer is not the person who likes pizza.\nClue 36: The soccer player is at one of the ends.\nClue 37: The actor is immediately to the left of the person who likes panda bears.\nClue 38: The person who supports the Philadelphia Eagles is immediately to the left of the person who likes snorkeling.\nClue 39: The doctor is the harp player.\nClue 40: The architect is the person who likes pizza.\nClue 41: The person who likes orchids is the person who eats blueberries.\nClue 42: The person who supports the Philadelphia Eagles is not the person who likes Fanta.\nClue 43: The person who eats blackberries is somewhere to the left of the person who likes marigolds.\nClue 44: The person who supports the Kansas City Chiefs is next to the person who drives the Benelli.\nClue 45: The person who likes Pearls is somewhere in between the person who likes Coke and the person who likes Ambers in that order.\nClue 46: Maven is somewhere in between the guitar player and Michael in that order.\nClue 47: The person who drives the Kawasaki is the person who likes Fanta.\nClue 48: The Pakistani is somewhere in between the writer and the person who likes Fanta in that order.\nClue 49: The dancer is not the person who likes swimming.\nClue 50: The person who likes base jumping is next to the person who likes Mirinda.\nClue 51: The person who likes kebabs is somewhere to the left of the harp player.\nClue 52: Michael is at one of the ends.\nClue 53: The person who likes daisies is the person who owns a Tory Burch.\nClue 54: The person who smokes Blends is immediately to the left of the person who owns a Tory Burch.\nClue 55: The drums player is not the person who likes Coke.\nClue 56: The person who likes Corals is somewhere to the left of the flute player.\nClue 57: The person who smokes Blue Master is somewhere to the left of the person who lives in the brown house.\nClue 58: Michael is not the Spanish.\nClue 59: The person who smokes Davidoff is somewhere to the left of the person at the 4th position.\nClue 60: The person who likes Coke is the person who likes Topaz.\nClue 61: The person who likes panda bears is at one of the ends.\nClue 62: The person who likes pizza is immediately to the left of the person who drives the Ducati.\nClue 63: The person who likes soups is the person who drives the Ducati.\nClue 64: The person who supports the Detroit Lions is the Chinese.\nClue 65: The cello player is not the person who likes Sapphires.\nClue 66: The Australian is not the person who likes gadwalls.\nClue 67: The cello player is immediately to the left of the Canadian.\nClue 68: The Pakistani is not the person who supports the Pittsburgh Steelers.\nClue 69: Mandy is at one of the ends.\nClue 70: The person who likes tulips is at one of the ends.\nClue 71: The table tennis player is the person who owns a Kate Spade.\nClue 72: The Chinese is not Michael.\nClue 73: The person who likes soups is somewhere to the left of the dancer.\nClue 74: The person who lives in the red house is somewhere in between the person who lives in the green house and the person who eats kiwis in that order.\nClue 75: The person who likes noodles is at one of the ends.\nClue 76: The person who likes Sapphires is somewhere in between the person who drives the Bajaj and the person who likes Topaz in that order.\nClue 77: The Canadian is somewhere to the left of Michael.\nClue 78: The person who likes paragliding is the person who likes Pearls.\nClue 79: The actor is not the person who likes Coke.\nClue 80: Mandy is the engineer.\nClue 81: The person who likes fried rice is the person who supports the Green Bay Packers.\nClue 82: The person who owns a Kate Spade is next to the person who lives in the magenta house.\nClue 83: The Chinese is not Maven.\nClue 84: Mallika is immediately to the left of the person who likes gadwalls.\nClue 85: The person who likes orchids is the table tennis player.\nClue 86: Charlie is somewhere in between the person who likes noodles and the person who likes dinosaurs in that order.\nClue 87: The Canadian is somewhere to the left of the person who likes curry.\nClue 88: The person who likes pizza is the guitar player.\nClue 89: The person who likes panda bears is not the cello player.\nClue 90: The person who likes noodles is the person who likes Aquamarines.\nClue 91: The person who drives the Harley-Davidson is not the person who likes Mirinda.\nClue 92: The flute player is not the person who supports the Green Bay Packers.\nClue 93: The person who eats oranges is at one of the ends.\nClue 94: The person who likes Aquamarines is at one of the ends.\nClue 95: The person who likes orchids is somewhere to the left of the person who smokes Blue Master.\nClue 96: The person who likes panda bears is the Iranian.\nClue 97: The person who lives in the green house is the person who eats blackberries.\nClue 98: The person who smokes Winston is immediately to the left of the person who eats grapes.\nClue 99: The drums player is the Chinese.\nClue 100: The cello player is somewhere in between the architect and the person who likes panda bears in that order.\nClue 101: The person who likes Dr Pepper is not Mallika.\nClue 102: Charlie is not the person who likes panda bears.\nClue 103: The person who supports the Kansas City Chiefs is somewhere to the left of Mallika.\nClue 104: The person who drives the Benelli is not the piano player.\nClue 105: The person who likes Mountain Dew is next to the person who drives the Benelli.\nClue 106: The person who drives the Benelli is not the flute player.\nClue 107: The person who likes Pearls is not Randy.\nClue 108: The person who likes Corals is not the person who likes snorkeling.\nClue 109: The doctor is the harp player.\nClue 110: The person who supports the Denver Broncos is immediately to the left of the person who likes curry.\nClue 111: The person who likes paragliding is somewhere to the left of the person who likes curry.\nClue 112: The cello player is the person who supports the Green Bay Packers.\nClue 113: The person who owns a Kate Spade is the person who lives in the gold house.\nClue 114: The person who eats bananas is next to the person who lives in the brown house.\nClue 115: The flute player is immediately to the left of Michael.\nClue 116: The person who lives in the magenta house is the person who owns a Polo Ralph Lauren.\nClue 117: The Chinese is the person who likes Mountain Dew.\nClue 118: The engineer is at one of the ends.\nClue 119: The Spanish is next to the person who likes base jumping.\nClue 120: The Chinese is at one of the ends.\nClue 121: The person who likes pizza is not the engineer.\nClue 122: The person who drives the Ducati is somewhere in between the person who drives the Benelli and the person who likes scuba diving in that order.\nClue 123: The person who lives in the magenta house is the person who likes marigolds.\nClue 124: Michael is at one of the ends.\nClue 125: The table tennis player is immediately to the left of the ice hockey player.\nClue 126: The Chinese is not the person who likes Fanta.\nClue 127: The person who likes Sapphires is somewhere to the left of the person who likes Pearls.\nClue 128: The person who owns a Kate Spade is the person at the 4th position.\n\nQuestion: What position is the person who smokes Blue Master at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:143", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone likes a different favorite animal: oscars, dragons, woodpeckers, dinosaurs, dogs.\nEveryone owns a different handbag brand: Balenciaga, Versace, Polo Ralph Lauren, Kate Spade, Coach.\nEveryone drives a different motorbike: Bajaj, Kawasaki, Ducati, Suzuki, Buell.\nEveryone likes a different type of gemstone: Moonstones, Ambers, Rubies, Topaz, Obsidians.\nEveryone likes a different food: curry, burgers, tacos, fried rice, pasta.\nEveryone likes a different type of flower: peonies, dahlias, daisies, orchids, lilies.\nEveryone supports a different NFL team: Green Bay Packers, Tennessee Titans, Buffalo Bills, Carolina Panthers, Los Angeles Rams.\nEveryone has a different favorite hobby: parkour, stamp collecting, cheese making, pottery, mixology.\nEveryone drinks a different drink: orange juice, hot chocolate, iced tea, milk, iced coffee.\nEveryone plays a different musical instrument: harmonica, flute, saxophone, oboe, piano.\nEveryone has a different name: Drew, Rose, Joseph, Mallika, Katherine.\nEveryone has a different favorite soft drink: Pepsi, Coke, Dr Pepper, 7up, Mountain Dew.\nEveryone supports a different NBA team: Suns, Knicks, Hawks, Cavaliers, Bulls.\nEveryone reads a different genre of books: romance, humor, short story, spiritual, science fiction.\nEveryone drives a different car: McLaren, BMW, Kia, Mercedes, Honda.\nEveryone has a different profession: teacher, dancer, engineer, programmer, spy.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who likes daisies is the person who likes 7up.\nClue 2: Joseph is next to the person who drinks milk.\nClue 3: The person who likes Obsidians is not Katherine.\nClue 4: The piano player is the person who likes orchids.\nClue 5: The person who drives the Buell is the engineer.\nClue 6: The person who likes Ambers is the person who drinks orange juice.\nClue 7: The person who reads spiritual books is not the oboe player.\nClue 8: The person who likes tacos is at one of the ends.\nClue 9: The person who likes dogs is immediately to the left of the person who likes woodpeckers.\nClue 10: The person who likes tacos is next to the person who owns a Coach.\nClue 11: The person who reads humor books is somewhere in between the person who owns a Versace and the person who likes dahlias in that order.\nClue 12: The person who reads romance books is the person who likes stamp collecting.\nClue 13: The person who drinks iced coffee is not the person who likes Dr Pepper.\nClue 14: The person who likes lilies is at one of the ends.\nClue 15: The person who likes Mountain Dew is immediately to the left of the person who drinks iced coffee.\nClue 16: The person who likes Moonstones is somewhere in between the person who drives the McLaren and the person who drives the Honda in that order.\nClue 17: The person who likes dinosaurs is the person who supports the Suns.\nClue 18: The person who likes Dr Pepper is the person who likes lilies.\nClue 19: The person who likes dragons is the person who drives the Suzuki.\nClue 20: The person who drives the Bajaj is immediately to the left of the person who drives the Kawasaki.\nClue 21: The person who reads romance books is the saxophone player.\nClue 22: Rose is next to the person who likes Mountain Dew.\nClue 23: The person who likes fried rice is somewhere in between the person who likes Ambers and the person who drinks iced tea in that order.\nClue 24: The person who supports the Carolina Panthers is somewhere in between the dancer and the person who likes woodpeckers in that order.\nClue 25: The person who likes cheese making is not the person who owns a Coach.\nClue 26: The person who supports the Bulls is the person who likes oscars.\nClue 27: The person who likes burgers is the person who likes dahlias.\nClue 28: The person who likes dinosaurs is at one of the ends.\nClue 29: The person who likes Moonstones is next to the person who drinks hot chocolate.\nClue 30: The person who likes dahlias is not the person who drives the Mercedes.\nClue 31: The person who reads short story books is not Mallika.\nClue 32: The person who drinks iced tea is the person who likes pottery.\nClue 33: Katherine is not the person who owns a Polo Ralph Lauren.\nClue 34: The harmonica player is somewhere to the left of the person who owns a Polo Ralph Lauren.\nClue 35: The person who reads short story books is not the person who likes curry.\nClue 36: The person who drinks iced coffee is not the person who likes Dr Pepper.\nClue 37: The person who likes 7up is the person who drinks iced tea.\nClue 38: The person who likes pasta is the flute player.\nClue 39: The person who likes Pepsi is not the person who drinks orange juice.\nClue 40: The person who likes dahlias is not Rose.\nClue 41: The person who reads science fiction books is the person who owns a Polo Ralph Lauren.\nClue 42: The person who likes Coke is not the harmonica player.\nClue 43: The person who drinks milk is the person who owns a Coach.\nClue 44: The person who owns a Polo Ralph Lauren is at one of the ends.\nClue 45: The person who likes curry is somewhere to the left of Mallika.\nClue 46: The programmer is at one of the ends.\nClue 47: The person who likes 7up is not the saxophone player.\nClue 48: The person who likes Pepsi is immediately to the left of the person who likes curry.\nClue 49: The person who likes tacos is not the person who likes peonies.\nClue 50: The person who likes cheese making is not the piano player.\nClue 51: The person who likes Ambers is at one of the ends.\nClue 52: The person who drives the Bajaj is somewhere to the left of the person who supports the Knicks.\nClue 53: The piano player is somewhere in between Drew and the person who likes curry in that order.\nClue 54: The person who likes Pepsi is next to Katherine.\nClue 55: The person who likes Mountain Dew is somewhere in between the person who likes stamp collecting and the person who reads humor books in that order.\nClue 56: The person who owns a Polo Ralph Lauren is next to the person who likes Moonstones.\nClue 57: The person who likes peonies is not the person who reads humor books.\nClue 58: Joseph is the person who likes fried rice.\nClue 59: The person who likes Topaz is somewhere in between the person who likes Dr Pepper and the person who owns a Kate Spade in that order.\nClue 60: Joseph is somewhere in between the person who drives the BMW and the oboe player in that order.\nClue 61: Rose is the person who likes Ambers.\nClue 62: The person who likes lilies is at one of the ends.\nClue 63: The person who reads spiritual books is not the person who drives the Mercedes.\nClue 64: The person who likes Obsidians is not the person who reads spiritual books.\nClue 65: The person who reads spiritual books is the person who likes Pepsi.\nClue 66: The piano player is Joseph.\nClue 67: The person who likes woodpeckers is the person who supports the Los Angeles Rams.\nClue 68: The person who drives the Kia is next to the person who likes Rubies.\nClue 69: The person who likes curry is next to the person who likes orchids.\nClue 70: Katherine is immediately to the left of the person who likes cheese making.\nClue 71: The person who drives the BMW is not Katherine.\nClue 72: The person who likes cheese making is not the person who likes tacos.\nClue 73: The person who likes Moonstones is immediately to the left of the oboe player.\nClue 74: The person who likes Pepsi is somewhere in between the person who reads short story books and the person who drives the Honda in that order.\nClue 75: The person who supports the Bulls is somewhere to the left of the teacher.\nClue 76: The person who likes stamp collecting is not the person who likes Rubies.\nClue 77: The person who likes mixology is not the person who likes Moonstones.\nClue 78: The person who drinks hot chocolate is the person who drives the Honda.\nClue 79: The person who likes lilies is immediately to the left of Drew.\nClue 80: The person who likes cheese making is at one of the ends.\nClue 81: The person who owns a Versace is somewhere in between the person who drinks milk and Katherine in that order.\nClue 82: The person who reads science fiction books is the person who likes Obsidians.\nClue 83: The person who likes fried rice is the person who reads spiritual books.\nClue 84: The person who supports the Bulls is next to the person who supports the Suns.\nClue 85: The person who reads spiritual books is not the person who owns a Polo Ralph Lauren.\nClue 86: The person who likes tacos is at one of the ends.\nClue 87: The person who likes Pepsi is somewhere in between the person who owns a Coach and the person who drives the Honda in that order.\nClue 88: The person who likes dahlias is not the person who likes pasta.\nClue 89: The person who likes daisies is somewhere in between the person who owns a Versace and the person who likes Coke in that order.\nClue 90: The person who likes Coke is at one of the ends.\nClue 91: The harmonica player is the person who likes daisies.\nClue 92: The saxophone player is Rose.\nClue 93: The person who supports the Hawks is somewhere to the left of the person at the 4th position.\nClue 94: The piano player is the person who likes Topaz.\nClue 95: The person who supports the Buffalo Bills is somewhere to the left of the engineer.\nClue 96: The person who drinks orange juice is next to the flute player.\nClue 97: The person at the 2nd position is immediately to the left of the dancer.\nClue 98: The person who likes pottery is not the person who owns a Versace.\nClue 99: The person who likes lilies is immediately to the left of the person who owns a Coach.\nClue 100: The person who likes pasta is Drew.\nClue 101: The person who owns a Versace is not the person who likes Rubies.\nClue 102: The person who likes tacos is at one of the ends.\nClue 103: The person who likes Moonstones is the person who drinks iced tea.\nClue 104: The person who reads spiritual books is immediately to the left of the person who likes daisies.\nClue 105: The person who likes pasta is the person who likes Rubies.\nClue 106: Rose is at one of the ends.\nClue 107: The person who likes stamp collecting is not the person who likes Pepsi.\nClue 108: The person who likes lilies is next to the person who likes Rubies.\nClue 109: Rose is not the person who likes daisies.\nClue 110: The person who drives the Mercedes is somewhere in between the person who drives the McLaren and the person who likes cheese making in that order.\nClue 111: The teacher is somewhere to the left of the programmer.\nClue 112: The person who supports the Carolina Panthers is next to the person who supports the Green Bay Packers.\nClue 113: The person who likes burgers is not the person who likes stamp collecting.\nClue 114: The person who likes 7up is not the person who drinks iced coffee.\nClue 115: The person who likes lilies is Rose.\nClue 116: The person who likes parkour is somewhere in between the person who drives the Kia and Joseph in that order.\nClue 117: The person who likes mixology is immediately to the left of the person who likes Moonstones.\nClue 118: The person who likes burgers is not the person who likes pottery.\n\nQuestion: What position is the teacher at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:144", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone lives in a different colored house: brown, turquoise, cyan, green, teal, silver.\nEveryone likes a different physical activity: paragliding, hiking, base jumping, swimming, bungee jumping, skiing.\nEveryone plays a different sport: squash, soccer, table tennis, baseball, basketball, volleyball.\nEveryone is a different nationality: Israeli, Spanish, American, Bulgarian, Hungarian, Canadian.\nEveryone likes a different food: burgers, soups, pasta, curry, sandwiches, tacos.\nEveryone supports a different NFL team: Seattle Seahawks, Chicago Bears, Atlanta Falcons, Los Angeles Rams, Detroit Lions, Dallas Cowboys.\nEveryone has a different favorite soft drink: Mountain Dew, Coke, Sprite, 7up, Dr Pepper, Fanta.\nEveryone smokes a different cigarette: Dunhill, Newport, Marlboro, Pall Mall, Davidoff, Camel.\nEveryone drives a different car: Mercedes, Audi, Kia, Ford, BMW, McLaren.\nEveryone plays a different musical instrument: harmonica, saxophone, drums, harp, flute, violin.\nEveryone likes a different type of flower: peonies, dahlias, lilies, tulips, daisies, carnations.\nEveryone has a different name: Siva, Drew, Noah, Alex, Doug, Yair.\nEveryone owns a different handbag brand: Polo Ralph Lauren, Kate Spade, Michael Kors, Gucci, Tumi, Dolce and Gabbana.\nEveryone has a different favorite hobby: coin collecting, baking, welding, astronomy, wine making, juggling.\nEveryone drives a different motorbike: Honda, Benelli, Bajaj, Buell, Piaggio, Yamaha.\nEveryone likes a different fruit: blueberries, pears, apples, grapes, kiwis, bananas.\nEveryone likes a different type of gemstone: Dolomites, Corals, Amethysts, Moonstones, Diamonds, Rubies.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who drives the Kia is at one of the ends.\nClue 2: The person who likes Rubies is next to the person who drives the Piaggio.\nClue 3: The person who drives the Honda is the person who likes curry.\nClue 4: The person who likes Coke is not the harp player.\nClue 5: The basketball player is not the person who owns a Gucci.\nClue 6: The person who likes Corals is the Bulgarian.\nClue 7: The person who eats apples is somewhere to the left of the person who likes peonies.\nClue 8: The person who owns a Dolce and Gabbana is at one of the ends.\nClue 9: The person who likes curry is the person who likes Dolomites.\nClue 10: The person who likes tulips is next to the person who eats pears.\nClue 11: The drums player is not the person who smokes Pall Mall.\nClue 12: The person who likes burgers is at one of the ends.\nClue 13: The person who eats grapes is at one of the ends.\nClue 14: The Israeli is somewhere in between the person who likes Amethysts and the person who likes Corals in that order.\nClue 15: The person who lives in the teal house is not the person who eats bananas.\nClue 16: The person who drives the Audi is next to the person who lives in the cyan house.\nClue 17: The person who eats apples is the person who likes welding.\nClue 18: The person who drives the Audi is immediately to the left of the person who owns a Michael Kors.\nClue 19: The person who eats apples is somewhere in between the person who likes Fanta and the person who likes 7up in that order.\nClue 20: The person who likes coin collecting is next to the person who likes juggling.\nClue 21: The person who supports the Los Angeles Rams is the drums player.\nClue 22: The person who likes 7up is not the basketball player.\nClue 23: The person who likes Coke is at one of the ends.\nClue 24: The person who supports the Detroit Lions is at one of the ends.\nClue 25: The person who likes coin collecting is next to the person who drives the BMW.\nClue 26: The person who owns a Tumi is somewhere to the left of the person who lives in the brown house.\nClue 27: The person who eats pears is somewhere in between the person who lives in the teal house and the person who smokes Dunhill in that order.\nClue 28: The person who drives the McLaren is the person who likes astronomy.\nClue 29: The person who likes peonies is somewhere in between the volleyball player and the person who likes baking in that order.\nClue 30: The person who supports the Seattle Seahawks is next to the baseball player.\nClue 31: The person who drives the Ford is not the person who eats grapes.\nClue 32: The flute player is the person who likes daisies.\nClue 33: The person who likes Corals is the person who likes swimming.\nClue 34: The person who drives the BMW is not the person who eats bananas.\nClue 35: Yair is the person who likes hiking.\nClue 36: The baseball player is immediately to the left of the person who likes tulips.\nClue 37: The saxophone player is somewhere in between the person who drives the BMW and the person who eats bananas in that order.\nClue 38: The American is immediately to the left of Yair.\nClue 39: The person who likes bungee jumping is at one of the ends.\nClue 40: The person who smokes Pall Mall is not the person who likes juggling.\nClue 41: The basketball player is the person who smokes Dunhill.\nClue 42: The person who likes Dr Pepper is immediately to the left of the person who lives in the brown house.\nClue 43: The violin player is somewhere in between the person who supports the Detroit Lions and the person who likes juggling in that order.\nClue 44: The table tennis player is not the person who eats bananas.\nClue 45: The person who likes coin collecting is somewhere in between the person who likes lilies and the basketball player in that order.\nClue 46: The person who owns a Michael Kors is next to the person who smokes Dunhill.\nClue 47: The person who likes peonies is somewhere in between the person who owns a Tumi and the person who eats bananas in that order.\nClue 48: The person who lives in the silver house is somewhere to the left of the table tennis player.\nClue 49: The person who likes Corals is immediately to the left of the person who likes Moonstones.\nClue 50: The person who likes coin collecting is next to the person who likes 7up.\nClue 51: The person who drives the Audi is somewhere in between the table tennis player and the person who supports the Chicago Bears in that order.\nClue 52: The flute player is the person who supports the Atlanta Falcons.\nClue 53: The person who likes Amethysts is next to the person who likes skiing.\nClue 54: The drums player is next to the person who smokes Pall Mall.\nClue 55: The saxophone player is the person who eats pears.\nClue 56: Drew is immediately to the left of the person who likes sandwiches.\nClue 57: The person who owns a Dolce and Gabbana is at one of the ends.\nClue 58: The soccer player is somewhere in between the person who supports the Detroit Lions and the drums player in that order.\nClue 59: The soccer player is immediately to the left of the person who supports the Los Angeles Rams.\nClue 60: The person who likes astronomy is the person who supports the Detroit Lions.\nClue 61: The person who likes wine making is somewhere in between the person who smokes Camel and the person who likes baking in that order.\nClue 62: The person who drives the Audi is somewhere in between the person who owns a Polo Ralph Lauren and the person who likes peonies in that order.\nClue 63: The person who likes Diamonds is the person who drives the Buell.\nClue 64: The person who likes Amethysts is immediately to the left of the person who likes paragliding.\nClue 65: The person who likes soups is next to the Canadian.\nClue 66: The person who eats apples is the person who smokes Pall Mall.\nClue 67: The person who likes tulips is the basketball player.\nClue 68: Doug is at one of the ends.\nClue 69: The person who drives the Bajaj is immediately to the left of Alex.\nClue 70: The person who likes Sprite is somewhere in between the person who owns a Polo Ralph Lauren and the person who likes peonies in that order.\nClue 71: The person who likes skiing is Siva.\nClue 72: The person who drives the Kia is at one of the ends.\nClue 73: The person who likes Dr Pepper is somewhere in between the volleyball player and the person who lives in the brown house in that order.\nClue 74: The person who likes peonies is not the person who likes Fanta.\nClue 75: The person who likes paragliding is somewhere to the left of the Spanish.\nClue 76: The volleyball player is somewhere in between the person who owns a Polo Ralph Lauren and the person who owns a Michael Kors in that order.\nClue 77: The person who likes wine making is not the harp player.\nClue 78: The person who likes welding is somewhere to the left of the person who likes daisies.\nClue 79: The person who likes tulips is not the soccer player.\nClue 80: The saxophone player is the person who smokes Davidoff.\nClue 81: The person who supports the Seattle Seahawks is the basketball player.\nClue 82: The person who lives in the cyan house is the person who drives the Ford.\nClue 83: The person who eats apples is not the flute player.\nClue 84: The person who likes lilies is not the saxophone player.\nClue 85: The person who owns a Polo Ralph Lauren is the person who supports the Los Angeles Rams.\nClue 86: The person who likes coin collecting is immediately to the left of the person who likes Dr Pepper.\nClue 87: The person who owns a Gucci is the person who likes astronomy.\nClue 88: The person who likes sandwiches is Alex.\nClue 89: The person who likes base jumping is the person who likes sandwiches.\nClue 90: The person who lives in the green house is somewhere to the left of the person who owns a Dolce and Gabbana.\nClue 91: The person who likes 7up is not the person who likes lilies.\nClue 92: The flute player is the volleyball player.\nClue 93: The person who smokes Camel is somewhere in between the soccer player and the person who likes peonies in that order.\nClue 94: The person who likes juggling is immediately to the left of the person who likes Sprite.\nClue 95: The person who owns a Kate Spade is somewhere in between the person who drives the McLaren and the table tennis player in that order.\nClue 96: The person who likes Fanta is not the person who likes dahlias.\nClue 97: The person who smokes Dunhill is at one of the ends.\nClue 98: The table tennis player is next to the person who lives in the silver house.\nClue 99: The person who likes tacos is somewhere in between the person who likes paragliding and the person who likes sandwiches in that order.\nClue 100: The person who owns a Kate Spade is the person who likes Mountain Dew.\nClue 101: The person who likes Moonstones is the person who likes base jumping.\nClue 102: The person who lives in the green house is next to the person who likes daisies.\nClue 103: The person who eats blueberries is somewhere in between the person who smokes Pall Mall and the person who likes tulips in that order.\nClue 104: The person who lives in the teal house is somewhere in between the person who smokes Pall Mall and the person who likes Coke in that order.\nClue 105: The person who drives the Buell is at one of the ends.\nClue 106: The person who likes 7up is the person who smokes Newport.\nClue 107: The person who likes Moonstones is the Canadian.\nClue 108: The person who supports the Atlanta Falcons is not the person who owns a Dolce and Gabbana.\nClue 109: The squash player is immediately to the left of the person who supports the Dallas Cowboys.\nClue 110: The person who smokes Davidoff is immediately to the left of the person who likes Coke.\nClue 111: The person who lives in the cyan house is next to the person who likes baking.\nClue 112: The person who eats kiwis is next to the table tennis player.\nClue 113: The person who lives in the turquoise house is not the drums player.\nClue 114: The person who supports the Los Angeles Rams is the drums player.\nClue 115: The person who smokes Newport is somewhere in between the person who likes astronomy and the person who owns a Tumi in that order.\nClue 116: The person who likes Dolomites is somewhere to the left of the person at the 6th position.\nClue 117: The person who owns a Tumi is the person who likes Sprite.\nClue 118: Alex is immediately to the left of the person who likes bungee jumping.\nClue 119: The person who smokes Camel is somewhere in between the person who supports the Los Angeles Rams and the person who lives in the cyan house in that order.\nClue 120: The person who supports the Seattle Seahawks is at one of the ends.\nClue 121: The person who drives the Buell is immediately to the left of the person who drives the Benelli.\nClue 122: The person who likes Dr Pepper is the person who likes wine making.\nClue 123: The person who eats pears is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 124: The harp player is at one of the ends.\nClue 125: The person who drives the McLaren is at one of the ends.\nClue 126: The harp player is the person who lives in the turquoise house.\nClue 127: The person who lives in the teal house is somewhere to the left of the person who smokes Davidoff.\nClue 128: The violin player is the person who likes Mountain Dew.\nClue 129: The person who smokes Dunhill is at one of the ends.\n\nQuestion: What position is the person who likes skiing at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:145", "request": "There are 6 people next to each other in a row in positions 1, 2, 3, 4, 5, 6 who have the following characteristics.\nEveryone smokes a different cigarette: Davidoff, Pall Mall, Blue Master, Blends, Newport, Marlboro.\nEveryone has a different favorite hobby: mixology, skiing, video games, wine making, language learning, painting.\nEveryone lives in a different colored house: teal, turquoise, gold, yellow, white, pink.\nEveryone is a different nationality: Bangladeshi, Croatian, American, Hungarian, Italian, Swede.\nEveryone drives a different motorbike: Ducati, Buell, Benelli, Harley-Davidson, Suzuki, Bajaj.\nEveryone likes a different type of gemstone: Amethysts, Moonstones, Sapphires, Ambers, Diamonds, Gypsum.\nEveryone likes a different favorite animal: finches, seals, oscars, snails, zanders, bats.\nEveryone has a different favorite soft drink: Powerade, Mirinda, Mountain Dew, Pepsi, Gatorade, Fanta.\nEveryone likes a different physical activity: paragliding, scuba diving, hiking, biking, weight lifting, base jumping.\nEveryone likes a different fruit: blueberries, kiwis, apples, grapes, bananas, mangoes.\nEveryone plays a different musical instrument: flute, harp, piano, oboe, harmonica, drums.\nEveryone has a different name: Karan, Michael, Mallika, Rafael, Rose, Barbara.\nEveryone reads a different genre of books: science fiction, mystery, humor, history, romance, fantasy.\nEveryone drinks a different drink: iced tea, orange juice, iced coffee, coffee, tea, hot chocolate.\nEveryone drives a different car: Honda, BMW, McLaren, Audi, Mercedes, Kia.\nEveryone likes a different food: tacos, pizza, curry, sandwiches, soups, fried rice.\nEveryone supports a different NFL team: Cincinnati Bengals, Baltimore Ravens, Seattle Seahawks, Los Angeles Rams, Dallas Cowboys, Miami Dolphins.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person at the 4th position is somewhere to the left of the person who eats kiwis.\nClue 2: The person who drives the Kia is not the person who likes tacos.\nClue 3: The person who likes Sapphires is Barbara.\nClue 4: The person who eats blueberries is somewhere to the left of the person who lives in the white house.\nClue 5: The person who drives the Honda is not the person who smokes Newport.\nClue 6: The person who likes Pepsi is the piano player.\nClue 7: The Bangladeshi is Rose.\nClue 8: The person who reads science fiction books is next to the person who supports the Seattle Seahawks.\nClue 9: Barbara is not the Hungarian.\nClue 10: The person who lives in the white house is next to the person who eats blueberries.\nClue 11: The person who drinks tea is somewhere in between the person who smokes Pall Mall and the person who drinks coffee in that order.\nClue 12: The person who reads mystery books is somewhere to the left of the person at the 3rd position.\nClue 13: The person who drives the Benelli is next to Mallika.\nClue 14: The person who drives the Bajaj is somewhere in between the person who likes sandwiches and the person who drinks iced coffee in that order.\nClue 15: The oboe player is next to the person who drives the Kia.\nClue 16: The person who likes skiing is the person who supports the Dallas Cowboys.\nClue 17: The person who likes sandwiches is not the person who smokes Marlboro.\nClue 18: The person who likes fried rice is somewhere to the left of the person who smokes Blue Master.\nClue 19: The person who reads fantasy books is somewhere to the left of the person who lives in the turquoise house.\nClue 20: The person who likes paragliding is the Hungarian.\nClue 21: The person who likes pizza is somewhere in between the person who smokes Blends and the person who likes weight lifting in that order.\nClue 22: The person who smokes Pall Mall is not the Bangladeshi.\nClue 23: The person who likes bats is somewhere to the left of the person who reads science fiction books.\nClue 24: The Croatian is the person who drives the Audi.\nClue 25: The person who likes Mountain Dew is next to the person who likes weight lifting.\nClue 26: The person who smokes Marlboro is next to the person who likes Mirinda.\nClue 27: The person who drives the BMW is somewhere in between Rose and the oboe player in that order.\nClue 28: The person who drinks iced tea is not the person who likes base jumping.\nClue 29: The person who likes Mountain Dew is not the person who drinks orange juice.\nClue 30: The person who drinks tea is the flute player.\nClue 31: The person who likes hiking is not Rose.\nClue 32: The person who drinks orange juice is Rafael.\nClue 33: The person who drives the Benelli is somewhere in between the person who drives the Buell and the person who drives the Ducati in that order.\nClue 34: The flute player is not the person who drinks orange juice.\nClue 35: Mallika is not the Italian.\nClue 36: The person who drinks hot chocolate is somewhere in between the person who smokes Marlboro and the person who likes base jumping in that order.\nClue 37: The harmonica player is the person who likes curry.\nClue 38: The person who likes Mountain Dew is the person who drives the Suzuki.\nClue 39: The person who likes wine making is the person who likes finches.\nClue 40: The person who drinks tea is immediately to the left of Mallika.\nClue 41: The person who supports the Los Angeles Rams is the person who likes zanders.\nClue 42: The person who likes Gatorade is not the person who drives the Benelli.\nClue 43: The person who likes Powerade is somewhere in between the person who drives the Harley-Davidson and the person who drives the Ducati in that order.\nClue 44: The person who likes Pepsi is at one of the ends.\nClue 45: The person who reads romance books is next to the person who likes oscars.\nClue 46: The person who supports the Los Angeles Rams is next to the person who reads science fiction books.\nClue 47: The person who drives the Honda is somewhere in between the person who likes fried rice and the person who likes Amethysts in that order.\nClue 48: The person who drinks hot chocolate is the person who drives the Harley-Davidson.\nClue 49: The person who supports the Seattle Seahawks is at one of the ends.\nClue 50: The person who lives in the white house is at one of the ends.\nClue 51: The person who likes Moonstones is not the person who likes soups.\nClue 52: The person who drinks hot chocolate is not the person who likes weight lifting.\nClue 53: Mallika is next to the person who drives the Bajaj.\nClue 54: The person who likes language learning is somewhere in between the person who eats bananas and the person who supports the Baltimore Ravens in that order.\nClue 55: The person who likes painting is somewhere to the left of the person who reads humor books.\nClue 56: The person who likes Gypsum is somewhere in between the Hungarian and the person who smokes Newport in that order.\nClue 57: The person who drives the Bajaj is somewhere in between the person who drives the Honda and the person who drives the BMW in that order.\nClue 58: The person who drinks hot chocolate is next to the person who likes hiking.\nClue 59: The person who likes Ambers is not the drums player.\nClue 60: The person who smokes Marlboro is not the person who likes scuba diving.\nClue 61: The person who likes bats is the person who lives in the turquoise house.\nClue 62: The person who drives the Harley-Davidson is immediately to the left of the Bangladeshi.\nClue 63: The person who drives the Kia is the person who drives the Benelli.\nClue 64: The person who likes Gatorade is at one of the ends.\nClue 65: The person who smokes Blue Master is at one of the ends.\nClue 66: The person who likes biking is not the person who drives the Ducati.\nClue 67: The person who likes Amethysts is not the person who drives the Ducati.\nClue 68: The piano player is not Karan.\nClue 69: The person who smokes Marlboro is at one of the ends.\nClue 70: The person who likes Pepsi is next to the person who likes Mirinda.\nClue 71: The person who drives the McLaren is next to the person who likes Mirinda.\nClue 72: The person who drinks orange juice is at one of the ends.\nClue 73: The person who smokes Newport is immediately to the left of the person who likes Gatorade.\nClue 74: The person who likes curry is somewhere to the left of the person who drives the Audi.\nClue 75: The person who likes finches is somewhere to the left of the person who likes video games.\nClue 76: Mallika is next to the person who smokes Blends.\nClue 77: The person who drives the BMW is somewhere in between the Bangladeshi and Michael in that order.\nClue 78: The person who reads science fiction books is somewhere to the left of the person who lives in the white house.\nClue 79: The person who smokes Marlboro is at one of the ends.\nClue 80: The person who likes wine making is the person who reads science fiction books.\nClue 81: The person who supports the Dallas Cowboys is immediately to the left of the person who likes bats.\nClue 82: The person who smokes Blends is not the person who drinks hot chocolate.\nClue 83: The person who lives in the teal house is immediately to the left of the person who likes finches.\nClue 84: The person who eats mangoes is next to the person at the 4th position.\nClue 85: The person who likes oscars is next to the person who reads mystery books.\nClue 86: The person who drinks tea is immediately to the left of the person who likes Mountain Dew.\nClue 87: The person who eats mangoes is the person who likes bats.\nClue 88: The person who likes Diamonds is next to the person who smokes Marlboro.\nClue 89: The person who likes Gatorade is at one of the ends.\nClue 90: The person who likes curry is not the person who smokes Blends.\nClue 91: The person who likes snails is somewhere to the left of the person who eats bananas.\nClue 92: The person who smokes Davidoff is somewhere in between the person who likes tacos and the person who smokes Blue Master in that order.\nClue 93: The person who likes sandwiches is immediately to the left of the person who drives the Bajaj.\nClue 94: The person who reads history books is immediately to the left of the person at the 5th position.\nClue 95: The person who lives in the gold house is at one of the ends.\nClue 96: The flute player is not the person who drinks iced tea.\nClue 97: The harp player is somewhere in between the person who likes tacos and the person who smokes Blue Master in that order.\nClue 98: The person who reads romance books is the person who supports the Cincinnati Bengals.\nClue 99: The person who likes pizza is the harp player.\nClue 100: The person who smokes Blends is not the person who likes Diamonds.\nClue 101: The person who likes hiking is somewhere to the left of the person who likes paragliding.\nClue 102: The person who drives the Honda is next to the person who drives the Bajaj.\nClue 103: The person who drives the Buell is immediately to the left of the person who drinks hot chocolate.\nClue 104: The person who drives the McLaren is at one of the ends.\nClue 105: The person who likes Mountain Dew is the Swede.\nClue 106: The person who likes mixology is immediately to the left of the person who lives in the yellow house.\nClue 107: The person who likes Ambers is somewhere to the left of the American.\nClue 108: The person who likes scuba diving is the person who drinks iced tea.\nClue 109: Rafael is immediately to the left of the person who likes sandwiches.\nClue 110: The Italian is next to Karan.\nClue 111: The person who likes paragliding is not Rose.\nClue 112: The person who drives the Suzuki is somewhere in between the person who drinks tea and the person who likes scuba diving in that order.\nClue 113: The person who likes Mirinda is next to the person who likes base jumping.\nClue 114: The person who smokes Davidoff is somewhere in between Rose and Barbara in that order.\nClue 115: The person who lives in the gold house is the person who eats grapes.\nClue 116: The Hungarian is Karan.\nClue 117: The person who smokes Blue Master is at one of the ends.\nClue 118: The drums player is somewhere to the left of the person who likes Gatorade.\nClue 119: The person who drives the Buell is the person who drinks orange juice.\nClue 120: Michael is somewhere to the left of the person who drinks iced tea.\nClue 121: The person who likes pizza is the person who smokes Davidoff.\nClue 122: The harmonica player is the person who likes weight lifting.\nClue 123: The harmonica player is the American.\nClue 124: The person who likes hiking is at one of the ends.\nClue 125: Mallika is somewhere to the left of the person who likes weight lifting.\nClue 126: The person who smokes Blends is not the drums player.\nClue 127: The piano player is at one of the ends.\nClue 128: The harmonica player is immediately to the left of the person who drives the Audi.\nClue 129: The person who likes sandwiches is somewhere to the left of the person who likes Gatorade.\nClue 130: The person who likes painting is next to the person who supports the Los Angeles Rams.\nClue 131: The person who likes fried rice is at one of the ends.\nClue 132: The person who drinks iced coffee is the person who drives the Suzuki.\n\nQuestion: What position is the person who likes painting at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:148", "request": "There are 5 people next to each other in a row in positions 1, 2, 3, 4, 5 who have the following characteristics.\nEveryone smokes a different cigarette: Newport, Camel, Dunhill, Salem, Blue Master.\nEveryone drinks a different drink: milk, orange juice, tea, lemonade, hot chocolate.\nEveryone likes a different physical activity: paragliding, swimming, skiing, weight lifting, biking.\nEveryone drives a different motorbike: Benelli, Yamaha, Bajaj, Kawasaki, Piaggio.\nEveryone likes a different type of flower: peonies, daisies, lilies, roses, dahlias.\nEveryone has a different favorite soft drink: Fanta, 7up, Sprite, Dr Pepper, Gatorade.\nEveryone plays a different sport: basketball, soccer, table tennis, badminton, tennis.\nEveryone plays a different musical instrument: guitar, violin, oboe, drums, flute.\nEveryone reads a different genre of books: science fiction, humor, spiritual, magical realism, romance.\nEveryone likes a different fruit: oranges, kiwis, bananas, blueberries, strawberries.\nEveryone is a different nationality: Chilean, Malaysian, Italian, Iranian, Hungarian.\nEveryone has a different profession: dancer, artist, designer, teacher, actor.\nEveryone supports a different NBA team: Hawks, Bucks, Knicks, Suns, Cavaliers.\nEveryone likes a different food: curry, sandwiches, pizza, soups, noodles.\nEveryone has a different favorite hobby: canoeing, parkour, wine making, bird watching, stamp collecting.\nEveryone drives a different car: Honda, Tesla, Ford, Kia, Toyota.\nUsing the clues provided below, answer the question at the end.\nSome of clues provided might be irrelevant to the puzzle.\nClue 1: The person who smokes Dunhill is the person who likes Fanta.\nClue 2: The person who likes paragliding is immediately to the left of the actor.\nClue 3: The person who eats blueberries is the person who likes soups.\nClue 4: The person who likes lilies is not the person who likes pizza.\nClue 5: The person who likes stamp collecting is the person who likes curry.\nClue 6: The person who likes daisies is not the person who supports the Cavaliers.\nClue 7: The person who supports the Hawks is the badminton player.\nClue 8: The person who likes swimming is the person who likes roses.\nClue 9: The person who likes sandwiches is at one of the ends.\nClue 10: The person who smokes Camel is not the person who likes daisies.\nClue 11: The person who smokes Camel is not the person who likes skiing.\nClue 12: The Hungarian is next to the person who drives the Kia.\nClue 13: The person who likes Fanta is somewhere in between the oboe player and the person who supports the Suns in that order.\nClue 14: The person who likes Sprite is somewhere in between the person who eats bananas and the person who eats blueberries in that order.\nClue 15: The person who likes daisies is not the badminton player.\nClue 16: The artist is somewhere in between the person who smokes Salem and the person who smokes Blue Master in that order.\nClue 17: The guitar player is the table tennis player.\nClue 18: The person who reads spiritual books is next to the person who drives the Yamaha.\nClue 19: The badminton player is at one of the ends.\nClue 20: The person who eats blueberries is next to the person who likes daisies.\nClue 21: The person who likes daisies is somewhere in between the person who likes Dr Pepper and the person who smokes Blue Master in that order.\nClue 22: The person who likes roses is at one of the ends.\nClue 23: The person who likes canoeing is at one of the ends.\nClue 24: The person who supports the Cavaliers is somewhere in between the actor and the person who likes daisies in that order.\nClue 25: The person who eats oranges is not the oboe player.\nClue 26: The person who supports the Suns is at one of the ends.\nClue 27: The person who smokes Dunhill is the person who likes weight lifting.\nClue 28: The teacher is the person who likes noodles.\nClue 29: The person who likes Sprite is the person who smokes Newport.\nClue 30: The person who eats oranges is somewhere to the left of the table tennis player.\nClue 31: The person who likes Fanta is not the person who likes swimming.\nClue 32: The person who drinks tea is next to the person who drinks orange juice.\nClue 33: The person who supports the Knicks is somewhere in between the person who eats blueberries and the person who likes 7up in that order.\nClue 34: The person who supports the Cavaliers is somewhere in between the person who likes biking and the violin player in that order.\nClue 35: The designer is at one of the ends.\nClue 36: The person who smokes Newport is somewhere to the left of the person who likes swimming.\nClue 37: The person who drinks lemonade is the person who drives the Bajaj.\nClue 38: The person who likes swimming is at one of the ends.\nClue 39: The flute player is at one of the ends.\nClue 40: The person who supports the Knicks is somewhere in between the person who likes wine making and the table tennis player in that order.\nClue 41: The person who eats bananas is not the violin player.\nClue 42: The person who likes swimming is at one of the ends.\nClue 43: The person who likes 7up is next to the person who likes daisies.\nClue 44: The person who likes canoeing is immediately to the left of the person who eats strawberries.\nClue 45: The person who drives the Benelli is the person who drinks orange juice.\nClue 46: The flute player is at one of the ends.\nClue 47: The person who likes weight lifting is next to the oboe player.\nClue 48: The person who smokes Salem is not the person who likes peonies.\nClue 49: The actor is next to the person who smokes Camel.\nClue 50: The person who likes weight lifting is somewhere to the left of the person who likes 7up.\nClue 51: The person who likes wine making is immediately to the left of the dancer.\nClue 52: The person who supports the Hawks is at one of the ends.\nClue 53: The artist is somewhere to the left of the person who smokes Blue Master.\nClue 54: The person at the 1st position is the person who drives the Tesla.\nClue 55: The person who drives the Kawasaki is somewhere in between the person who drives the Tesla and the Chilean in that order.\nClue 56: The person who likes noodles is the person who smokes Camel.\nClue 57: The person who likes noodles is somewhere to the left of the person who likes Dr Pepper.\nClue 58: The person who smokes Blue Master is at one of the ends.\nClue 59: The Iranian is immediately to the left of the person who reads humor books.\nClue 60: The person who likes sandwiches is at one of the ends.\nClue 61: The person who eats blueberries is somewhere to the left of the person who likes Fanta.\nClue 62: The person who likes paragliding is immediately to the left of the person who eats strawberries.\nClue 63: The designer is not the person who likes bird watching.\nClue 64: The soccer player is immediately to the left of the person who likes Fanta.\nClue 65: The person who likes dahlias is somewhere in between the person who supports the Bucks and the person who smokes Blue Master in that order.\nClue 66: The person who likes parkour is at one of the ends.\nClue 67: The person who likes dahlias is the oboe player.\nClue 68: The person who likes Sprite is somewhere in between the person who likes Gatorade and the dancer in that order.\nClue 69: The actor is the person who smokes Newport.\nClue 70: The oboe player is somewhere to the left of the basketball player.\nClue 71: The actor is immediately to the left of the person who likes dahlias.\nClue 72: The flute player is not the person who likes Dr Pepper.\nClue 73: The person who likes 7up is next to the basketball player.\nClue 74: The person who drives the Ford is the person who drives the Kawasaki.\nClue 75: The person who likes weight lifting is immediately to the left of the person who likes roses.\nClue 76: The person who likes wine making is the actor.\nClue 77: The person who likes skiing is not the person who likes lilies.\nClue 78: The person who likes dahlias is next to the violin player.\nClue 79: The person who likes skiing is not the person who supports the Bucks.\nClue 80: The person who likes Dr Pepper is not the person who likes parkour.\nClue 81: The oboe player is the person who likes soups.\nClue 82: The flute player is immediately to the left of the person who likes pizza.\nClue 83: The person who reads humor books is next to the person who drives the Tesla.\nClue 84: The Italian is immediately to the left of the Malaysian.\nClue 85: The person who reads magical realism books is the person who drives the Bajaj.\nClue 86: The person who supports the Bucks is not the person who smokes Camel.\nClue 87: The person who smokes Newport is somewhere in between the person who likes paragliding and the person who eats oranges in that order.\nClue 88: The person who smokes Dunhill is the person who likes Fanta.\nClue 89: The person who likes Dr Pepper is the person who likes skiing.\nClue 90: The person who likes parkour is the person who eats kiwis.\nClue 91: The person who likes skiing is immediately to the left of the violin player.\nClue 92: The person who reads humor books is immediately to the left of the person who drives the Ford.\nClue 93: The person who likes stamp collecting is the person who eats oranges.\nClue 94: The person who reads science fiction books is the person who drives the Tesla.\nClue 95: The person who likes daisies is not the person who likes canoeing.\nClue 96: The person who likes roses is at one of the ends.\nClue 97: The person who eats bananas is at one of the ends.\nClue 98: The person who supports the Knicks is immediately to the left of the person who likes 7up.\nClue 99: The person who likes sandwiches is the person who likes 7up.\nClue 100: The person who likes lilies is the person who supports the Hawks.\nClue 101: The basketball player is somewhere to the left of the designer.\nClue 102: The person who supports the Knicks is next to the person who supports the Suns.\nClue 103: The person who supports the Hawks is not the person who eats blueberries.\nClue 104: The person who drives the Ford is somewhere in between the person who drives the Toyota and the person who drives the Benelli in that order.\nClue 105: The person who likes skiing is not the designer.\nClue 106: The person who likes noodles is somewhere to the left of the person who likes Sprite.\nClue 107: The person who likes biking is immediately to the left of the oboe player.\nClue 108: The designer is not the person who likes pizza.\nClue 109: The teacher is the person who supports the Hawks.\nClue 110: The person who likes paragliding is at one of the ends.\nClue 111: The person who drinks hot chocolate is at one of the ends.\nClue 112: The person who drinks orange juice is immediately to the left of the Hungarian.\nClue 113: The person who likes weight lifting is next to the person who likes Dr Pepper.\nClue 114: The person who eats oranges is somewhere in between the person who likes Sprite and the designer in that order.\nClue 115: The person who likes wine making is immediately to the left of the dancer.\nClue 116: The tennis player is somewhere in between the person who likes paragliding and the person who smokes Salem in that order.\nClue 117: The person who likes 7up is not the person who likes pizza.\n\nQuestion: What position is the person who drinks lemonade at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:158", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone is a different nationality: Dane, Iranian, Russian, Nepali, Malaysian, Mexican, Turkish, Spanish.\nEveryone drinks a different drink: coffee, iced tea, beer, hot chocolate, water, milk, iced coffee, orange juice.\nEveryone has a different name: Nour, Siva, Katherine, Joseph, Michael, Rose, Mohsen, Barbara.\nEveryone smokes a different cigarette: Winston, Salem, Davidoff, Dunhill, Newport, Pall Mall, Marlboro, Blue Master.\nEveryone owns a different handbag brand: Versace, Coach, Dolce and Gabbana, Tory Burch, Polo Ralph Lauren, Michael Kors, Balenciaga, Tumi.\nEveryone likes a different fruit: oranges, pears, blueberries, apples, kiwis, blackberries, mangoes, raspberries.\nEveryone supports a different NFL team: Baltimore Ravens, Philadelphia Eagles, Seattle Seahawks, Carolina Panthers, Detroit Lions, Atlanta Falcons, Cincinnati Bengals, Los Angeles Rams.\nEveryone drives a different car: BMW, Ferrari, McLaren, Mercedes, Hyundai, Lexus, Ford, Toyota.\nUsing the clues provided below, answer the question at the end.\nClue 1: Nour is at one of the ends.\nClue 2: The person who drives the Lexus is the person who drinks water.\nClue 3: The person who owns a Polo Ralph Lauren is the person who drinks coffee.\nClue 4: Barbara is somewhere in between the person who drives the Mercedes and the person who eats oranges in that order.\nClue 5: Katherine is next to the person who eats oranges.\nClue 6: The person who drinks hot chocolate is the person who owns a Dolce and Gabbana.\nClue 7: The person who drinks iced coffee is next to Michael.\nClue 8: The person who supports the Carolina Panthers is the Turkish.\nClue 9: The Spanish is the person who drinks beer.\nClue 10: The person who eats pears is the Dane.\nClue 11: The person who eats apples is at one of the ends.\nClue 12: The person who drinks beer is immediately to the left of Mohsen.\nClue 13: The person who eats oranges is the person who drives the McLaren.\nClue 14: Katherine is next to the person who smokes Davidoff.\nClue 15: The person who supports the Atlanta Falcons is not the person at the 1st position.\nClue 16: The person who drives the Lexus is the Mexican.\nClue 17: The person who owns a Polo Ralph Lauren is the person who smokes Winston.\nClue 18: Nour is immediately to the left of the Mexican.\nClue 19: The person who smokes Newport is Siva.\nClue 20: The person who supports the Cincinnati Bengals is the person who owns a Versace.\nClue 21: The person who drives the Ford is the person who smokes Blue Master.\nClue 22: The person who drives the Mercedes is next to the person who drinks hot chocolate.\nClue 23: Michael is next to the person who eats kiwis.\nClue 24: The Nepali is somewhere in between the person who drinks beer and Michael in that order.\nClue 25: The Mexican is the person who supports the Seattle Seahawks.\nClue 26: The person who eats raspberries is at one of the ends.\nClue 27: The person who supports the Seattle Seahawks is the person who smokes Newport.\nClue 28: Joseph is next to the person who eats blueberries.\nClue 29: The person who drives the Toyota is at one of the ends.\nClue 30: The person who drives the Ferrari is the person who supports the Baltimore Ravens.\nClue 31: The person who eats pears is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 32: The person who eats raspberries is next to the person who eats blackberries.\nClue 33: The person who drives the Toyota is next to the person who owns a Versace.\nClue 34: The person who supports the Baltimore Ravens is somewhere in between the person who drinks beer and the person who supports the Detroit Lions in that order.\nClue 35: The person who supports the Carolina Panthers is at one of the ends.\nClue 36: The person who smokes Blue Master is somewhere in between the person who eats pears and the person who drives the McLaren in that order.\nClue 37: Joseph is the person who eats oranges.\nClue 38: The person who owns a Versace is the Malaysian.\nClue 39: The person who drinks hot chocolate is next to Joseph.\nClue 40: The person who owns a Tumi is immediately to the left of the person who supports the Detroit Lions.\nClue 41: The person who eats oranges is immediately to the left of the Iranian.\nClue 42: The person who smokes Dunhill is Rose.\nClue 43: The person who drives the Lexus is next to the person who owns a Coach.\nClue 44: The person who drinks milk is next to the person who supports the Atlanta Falcons.\nClue 45: The person who owns a Tory Burch is somewhere in between Nour and the person who drinks orange juice in that order.\nClue 46: The person who smokes Marlboro is next to Michael.\nClue 47: The person who drinks milk is immediately to the left of the person who drinks iced tea.\nClue 48: The Russian is somewhere to the left of the person who owns a Versace.\nClue 49: The person who smokes Pall Mall is immediately to the left of Barbara.\nClue 50: The person who eats blackberries is next to the person who drinks coffee.\nClue 51: The person who drives the Ford is the person who supports the Philadelphia Eagles.\nClue 52: The person who supports the Atlanta Falcons is at one of the ends.\nClue 53: The person who owns a Versace is immediately to the left of the person who owns a Balenciaga.\nClue 54: The person who drives the BMW is Rose.\nClue 55: The person who supports the Atlanta Falcons is next to the person who drives the McLaren.\n\nQuestion: What position is the person who supports the Atlanta Falcons at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:160", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone plays a different musical instrument: harp, flute, guitar, saxophone, violin, piano, cello, harmonica.\nEveryone likes a different physical activity: bungee jumping, biking, weight lifting, swimming, hiking, skiing, snorkeling, running.\nEveryone is a different nationality: Mexican, Italian, Brit, Bangladeshi, Bulgarian, Japanese, Sri Lankan, Belarusian.\nEveryone likes a different fruit: mangoes, blueberries, pears, oranges, raspberries, kiwis, strawberries, apples.\nEveryone owns a different handbag brand: Tumi, Michael Kors, Polo Ralph Lauren, Gucci, Dolce and Gabbana, Tory Burch, Kate Spade, Versace.\nEveryone drives a different car: Tesla, Audi, Ferrari, Toyota, Mercedes, Lexus, McLaren, Honda.\nEveryone drives a different motorbike: Buell, Kawasaki, Bajaj, Harley-Davidson, Ducati, Yamaha, Suzuki, Honda.\nEveryone reads a different genre of books: science fiction, history, short story, fantasy, magical realism, mystery, spiritual, humor.\nUsing the clues provided below, answer the question at the end.\nClue 1: The Sri Lankan is at one of the ends.\nClue 2: The Belarusian is the person who reads history books.\nClue 3: The person who drives the Toyota is the person who reads spiritual books.\nClue 4: The person who owns a Tory Burch is immediately to the left of the person who drives the Audi.\nClue 5: The harp player is next to the person who eats pears.\nClue 6: The person who reads short story books is somewhere in between the Bangladeshi and the person who reads history books in that order.\nClue 7: The person who owns a Dolce and Gabbana is the person who drives the Ducati.\nClue 8: The guitar player is somewhere to the left of the person who eats kiwis.\nClue 9: The person who likes weight lifting is next to the person who owns a Kate Spade.\nClue 10: The person who owns a Versace is next to the person who drives the Suzuki.\nClue 11: The person who owns a Michael Kors is at one of the ends.\nClue 12: The person who drives the Kawasaki is the person who owns a Polo Ralph Lauren.\nClue 13: The person who drives the Tesla is the person who eats kiwis.\nClue 14: The person who eats strawberries is at one of the ends.\nClue 15: The Japanese is somewhere in between the person who drives the Toyota and the person who eats mangoes in that order.\nClue 16: The cello player is next to the person who eats raspberries.\nClue 17: The harp player is at one of the ends.\nClue 18: The person who drives the Harley-Davidson is next to the person who reads science fiction books.\nClue 19: The person who eats apples is the person who drives the Bajaj.\nClue 20: The saxophone player is next to the harmonica player.\nClue 21: The Japanese is next to the person who reads spiritual books.\nClue 22: The person who drives the Tesla is the person who reads humor books.\nClue 23: The person at the 1st position is the saxophone player.\nClue 24: The person who eats pears is the person who owns a Gucci.\nClue 25: The piano player is immediately to the left of the person who drives the Honda.\nClue 26: The person who drives the Yamaha is next to the guitar player.\nClue 27: The person who reads mystery books is immediately to the left of the flute player.\nClue 28: The flute player is somewhere in between the person who drives the Lexus and the person who drives the Yamaha in that order.\nClue 29: The Brit is at one of the ends.\nClue 30: The person who drives the Kawasaki is the person who likes biking.\nClue 31: The person who likes snorkeling is the flute player.\nClue 32: The flute player is immediately to the left of the person who likes running.\nClue 33: The person who drives the Audi is the guitar player.\nClue 34: The person who drives the Kawasaki is somewhere to the left of the Italian.\nClue 35: The person who reads science fiction books is the person who likes bungee jumping.\nClue 36: The person who eats oranges is the person who likes biking.\nClue 37: The person who drives the Bajaj is the person who drives the Ferrari.\nClue 38: The violin player is the person who likes skiing.\nClue 39: The person who owns a Tumi is immediately to the left of the piano player.\nClue 40: The person who reads spiritual books is at one of the ends.\nClue 41: The person who reads history books is immediately to the left of the harp player.\nClue 42: The person who drives the Mercedes is the Japanese.\nClue 43: The person who drives the Yamaha is at one of the ends.\nClue 44: The Sri Lankan is the person who drives the Buell.\nClue 45: The person who eats raspberries is somewhere in between the person who eats apples and the person who owns a Polo Ralph Lauren in that order.\nClue 46: The person who eats kiwis is the person who likes hiking.\nClue 47: The Mexican is next to the harmonica player.\nClue 48: The person who drives the Honda is the Bulgarian.\nClue 49: The person who drives the Harley-Davidson is the violin player.\nClue 50: The Bulgarian is the person who reads magical realism books.\nClue 51: The person who owns a Versace is the person who likes hiking.\n\nQuestion: What position is the person who drives the Ferrari at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:162", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone likes a different type of flower: peonies, dahlias, carnations, lilies, daffodils, roses, marigolds, orchids.\nEveryone owns a different handbag brand: Balenciaga, Michael Kors, Tory Burch, Versace, Coach, Polo Ralph Lauren, Gucci, Dolce and Gabbana.\nEveryone has a different profession: chef, spy, singer, engineer, architect, designer, actor, dancer.\nEveryone has a different name: Jackson, Drew, Mohan, Barbara, Ali, Michael, Alex, Rajiv.\nEveryone has a different favorite hobby: welding, mixology, kite flying, wood carving, stamp collecting, astronomy, baking, cooking.\nEveryone likes a different favorite animal: ligers, eagles, dragonflies, cockroaches, starlings, dugongs, bison, tilapia.\nEveryone plays a different musical instrument: piano, violin, cello, saxophone, harmonica, flute, guitar, oboe.\nEveryone is a different nationality: Italian, Bangladeshi, German, Swiss, Swede, Serbian, Israeli, Irish.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes dugongs is the harmonica player.\nClue 2: The person who owns a Polo Ralph Lauren is immediately to the left of the person who owns a Gucci.\nClue 3: The person who likes astronomy is somewhere in between Rajiv and the person who owns a Balenciaga in that order.\nClue 4: Jackson is immediately to the left of the person who likes tilapia.\nClue 5: The person who likes kite flying is the person who owns a Balenciaga.\nClue 6: The person who likes marigolds is next to the harmonica player.\nClue 7: The harmonica player is at one of the ends.\nClue 8: The Swiss is at one of the ends.\nClue 9: Ali is at one of the ends.\nClue 10: The person who likes carnations is the person who likes eagles.\nClue 11: The Irish is next to the architect.\nClue 12: The designer is somewhere to the left of the person who likes lilies.\nClue 13: Rajiv is immediately to the left of the Serbian.\nClue 14: The person who likes orchids is somewhere in between the person who likes astronomy and the violin player in that order.\nClue 15: The Serbian is immediately to the left of the person who likes cockroaches.\nClue 16: The person who owns a Coach is the German.\nClue 17: The violin player is immediately to the left of the person who likes mixology.\nClue 18: The person who likes mixology is immediately to the left of the guitar player.\nClue 19: Mohan is the person who owns a Polo Ralph Lauren.\nClue 20: The person who likes eagles is Drew.\nClue 21: The person who owns a Dolce and Gabbana is the person who likes eagles.\nClue 22: Barbara is immediately to the left of the person at the 5th position.\nClue 23: The person who owns a Polo Ralph Lauren is the person who likes roses.\nClue 24: The chef is at one of the ends.\nClue 25: The person who likes bison is next to the Swiss.\nClue 26: The person who likes stamp collecting is Jackson.\nClue 27: The person who owns a Polo Ralph Lauren is the person who likes cooking.\nClue 28: The person who likes astronomy is the saxophone player.\nClue 29: The oboe player is the person at the 6th position.\nClue 30: The person who likes stamp collecting is somewhere to the left of the cello player.\nClue 31: The person who likes tilapia is immediately to the left of the engineer.\nClue 32: The cello player is at one of the ends.\nClue 33: Jackson is next to the Israeli.\nClue 34: The person who owns a Michael Kors is at one of the ends.\nClue 35: The person who likes bison is somewhere to the left of the dancer.\nClue 36: The guitar player is somewhere in between the person who likes mixology and the person who likes dragonflies in that order.\nClue 37: The person who owns a Balenciaga is somewhere to the left of the Swiss.\nClue 38: The person who likes ligers is somewhere to the left of the person who owns a Dolce and Gabbana.\nClue 39: The spy is immediately to the left of the person at the 6th position.\nClue 40: The person who likes dahlias is immediately to the left of the actor.\nClue 41: The person who likes tilapia is the person who likes baking.\nClue 42: The person who owns a Balenciaga is somewhere in between the person who likes daffodils and the Irish in that order.\nClue 43: The Israeli is the piano player.\nClue 44: The person who likes lilies is at one of the ends.\nClue 45: The person who owns a Dolce and Gabbana is somewhere to the left of Alex.\nClue 46: The person who likes welding is immediately to the left of the singer.\nClue 47: The piano player is immediately to the left of the person who owns a Tory Burch.\nClue 48: The designer is somewhere in between the person who owns a Coach and the person who likes lilies in that order.\nClue 49: Jackson is somewhere to the left of the person who likes marigolds.\nClue 50: The architect is the Italian.\nClue 51: The Swede is at one of the ends.\n\nQuestion: What position is the flute player at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:163", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone supports a different NBA team: Lakers, Knicks, Mavericks, Cavaliers, Celtics, Hawks, Warriors, Bulls.\nEveryone supports a different NFL team: Miami Dolphins, Pittsburgh Steelers, Philadelphia Eagles, Detroit Lions, Atlanta Falcons, Chicago Bears, Carolina Panthers, San Francisco 49ers.\nEveryone likes a different type of flower: begonias, orchids, daisies, marigolds, carnations, dahlias, peonies, daffodils.\nEveryone lives in a different colored house: red, silver, black, orange, pink, cyan, violet, teal.\nEveryone is a different nationality: Indian, Nepali, Sri Lankan, Iranian, Irish, Pakistani, Belarusian, Malaysian.\nEveryone plays a different sport: soccer, cricket, basketball, tennis, baseball, volleyball, badminton, table tennis.\nEveryone smokes a different cigarette: Camel, Dunhill, Blue Master, Blends, Davidoff, Newport, Winston, Salem.\nEveryone has a different favorite hobby: canoeing, kayaking, crocheting, beekeeping, fishing, wood carving, drone flying, skiing.\nUsing the clues provided below, answer the question at the end.\nClue 1: The Sri Lankan is immediately to the left of the soccer player.\nClue 2: The person who supports the Warriors is the person who likes kayaking.\nClue 3: The Iranian is at one of the ends.\nClue 4: The person who supports the Carolina Panthers is immediately to the left of the person who likes orchids.\nClue 5: The person who supports the Mavericks is the person who likes orchids.\nClue 6: The person who likes orchids is immediately to the left of the baseball player.\nClue 7: The person who smokes Camel is next to the person who smokes Dunhill.\nClue 8: The person who supports the Hawks is somewhere in between the person who likes begonias and the cricket player in that order.\nClue 9: The person who supports the Philadelphia Eagles is immediately to the left of the person who likes dahlias.\nClue 10: The person who likes canoeing is the table tennis player.\nClue 11: The person who likes peonies is the person who supports the Celtics.\nClue 12: The person who lives in the red house is the person who supports the Cavaliers.\nClue 13: The person who likes beekeeping is somewhere in between the person who smokes Davidoff and the person who supports the Miami Dolphins in that order.\nClue 14: The Pakistani is immediately to the left of the person who supports the Lakers.\nClue 15: The Sri Lankan is immediately to the left of the person who likes dahlias.\nClue 16: The person who lives in the black house is the person who supports the Bulls.\nClue 17: The person who smokes Newport is at one of the ends.\nClue 18: The person who supports the Atlanta Falcons is the person who lives in the violet house.\nClue 19: The person who smokes Camel is next to the Sri Lankan.\nClue 20: The person who smokes Blue Master is the person who likes begonias.\nClue 21: The person who likes crocheting is at one of the ends.\nClue 22: The person who supports the Chicago Bears is immediately to the left of the person who likes peonies.\nClue 23: The person who lives in the red house is the person who supports the Carolina Panthers.\nClue 24: The soccer player is immediately to the left of the person who lives in the silver house.\nClue 25: The person who lives in the violet house is immediately to the left of the Belarusian.\nClue 26: The person who likes carnations is at one of the ends.\nClue 27: The person who likes daisies is immediately to the left of the person who supports the Detroit Lions.\nClue 28: The person who lives in the cyan house is immediately to the left of the person who likes begonias.\nClue 29: The person who supports the Philadelphia Eagles is immediately to the left of the person who likes wood carving.\nClue 30: The person who lives in the black house is immediately to the left of the person who smokes Winston.\nClue 31: The person who smokes Dunhill is somewhere in between the person who lives in the orange house and the person who smokes Blue Master in that order.\nClue 32: The person who likes crocheting is the person who likes marigolds.\nClue 33: The person who supports the Miami Dolphins is somewhere in between the person who likes beekeeping and the person who supports the Detroit Lions in that order.\nClue 34: The person who likes drone flying is the volleyball player.\nClue 35: The tennis player is immediately to the left of the person who likes crocheting.\nClue 36: The person who supports the Bulls is the Malaysian.\nClue 37: The volleyball player is the Irish.\nClue 38: The person who smokes Davidoff is somewhere to the left of the tennis player.\nClue 39: The person at the 1st position is the badminton player.\nClue 40: The person who supports the Hawks is somewhere to the left of the person who smokes Salem.\nClue 41: The person who supports the Celtics is the person at the 4th position.\nClue 42: The person who lives in the silver house is immediately to the left of the person who lives in the violet house.\nClue 43: The person who likes canoeing is next to the person who supports the San Francisco 49ers.\nClue 44: The Belarusian is the person who lives in the cyan house.\nClue 45: The person who likes orchids is the person who likes drone flying.\nClue 46: The person who smokes Winston is somewhere to the left of the person who lives in the teal house.\nClue 47: The Belarusian is next to the person who smokes Blends.\nClue 48: The person who supports the Lakers is the table tennis player.\nClue 49: The Malaysian is immediately to the left of the person who likes fishing.\nClue 50: The person who likes dahlias is somewhere to the left of the Nepali.\nClue 51: The person who supports the Philadelphia Eagles is at one of the ends.\n\nQuestion: What position is the person who supports the San Francisco 49ers at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:165", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone is a different nationality: Canadian, German, Spanish, Malaysian, Chinese, Italian, Swiss, Indian.\nEveryone drives a different motorbike: Piaggio, Buell, Honda, Harley-Davidson, Kawasaki, Bajaj, Yamaha, Suzuki.\nEveryone has a different profession: athlete, actor, teacher, chef, engineer, dancer, singer, designer.\nEveryone plays a different musical instrument: flute, violin, harmonica, piano, guitar, harp, saxophone, drums.\nEveryone has a different name: Bob, Tao, Jackson, Michael, Margaret, Rajiv, Noah, Alex.\nEveryone supports a different NBA team: Suns, Lakers, Hawks, Celtics, Mavericks, Knicks, Bucks, Warriors.\nEveryone reads a different genre of books: magical realism, romance, science fiction, history, fantasy, mystery, spiritual, humor.\nEveryone drinks a different drink: beer, water, tea, iced coffee, iced tea, lemonade, milk, hot chocolate.\nUsing the clues provided below, answer the question at the end.\nClue 1: The saxophone player is somewhere in between the person who drives the Honda and the Canadian in that order.\nClue 2: The person who drives the Honda is the person who supports the Celtics.\nClue 3: Alex is immediately to the left of the person who drives the Yamaha.\nClue 4: The piano player is Rajiv.\nClue 5: The person who drives the Bajaj is next to Noah.\nClue 6: The violin player is the person who reads humor books.\nClue 7: The flute player is the chef.\nClue 8: The drums player is immediately to the left of the Indian.\nClue 9: The person who reads romance books is at one of the ends.\nClue 10: The German is somewhere to the left of the saxophone player.\nClue 11: Margaret is somewhere to the left of the person who drinks lemonade.\nClue 12: The person who drinks lemonade is next to the German.\nClue 13: The person who drinks iced tea is the actor.\nClue 14: The person who drives the Buell is the saxophone player.\nClue 15: The Indian is next to the actor.\nClue 16: The person who reads magical realism books is next to the Spanish.\nClue 17: Margaret is next to the teacher.\nClue 18: The person who drives the Piaggio is Michael.\nClue 19: The athlete is at one of the ends.\nClue 20: The person who drives the Suzuki is the person who reads history books.\nClue 21: The person who drinks iced coffee is the Canadian.\nClue 22: The saxophone player is somewhere in between the designer and the person who drives the Suzuki in that order.\nClue 23: The person who supports the Warriors is at one of the ends.\nClue 24: The person who drinks tea is the singer.\nClue 25: The person who drinks milk is next to the engineer.\nClue 26: The person who supports the Celtics is Margaret.\nClue 27: The person who drinks beer is the person who drives the Harley-Davidson.\nClue 28: Rajiv is next to the person who supports the Lakers.\nClue 29: The person who drinks tea is the person at the 2nd position.\nClue 30: The person who supports the Lakers is immediately to the left of the person who supports the Warriors.\nClue 31: The person who reads mystery books is not the person who drives the Buell.\nClue 32: Alex is somewhere to the left of the flute player.\nClue 33: The person who supports the Celtics is next to the person who supports the Hawks.\nClue 34: The person who drinks tea is immediately to the left of the person who supports the Suns.\nClue 35: The person who supports the Celtics is next to Bob.\nClue 36: The violin player is the singer.\nClue 37: The person who drives the Buell is immediately to the left of the person who drinks beer.\nClue 38: The harp player is immediately to the left of the person who supports the Lakers.\nClue 39: The person who drives the Bajaj is the piano player.\nClue 40: The person who supports the Suns is the chef.\nClue 41: The person who supports the Bucks is at one of the ends.\nClue 42: The Chinese is next to the person who reads fantasy books.\nClue 43: Michael is immediately to the left of the person who drives the Kawasaki.\nClue 44: Jackson is the person who supports the Hawks.\nClue 45: The guitar player is somewhere in between the person who reads mystery books and the person who reads romance books in that order.\nClue 46: The person who reads spiritual books is the designer.\nClue 47: The person who drinks milk is the Malaysian.\nClue 48: Alex is the person who supports the Knicks.\nClue 49: The person who drives the Piaggio is the person who drinks hot chocolate.\nClue 50: The person who drinks milk is Rajiv.\nClue 51: Margaret is somewhere in between the person who reads science fiction books and the Canadian in that order.\nClue 52: The person who drinks hot chocolate is at one of the ends.\nClue 53: The person who reads fantasy books is next to the person who drives the Yamaha.\nClue 54: The Swiss is at one of the ends.\n\nQuestion: What position is Alex at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:166", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone supports a different NFL team: Philadelphia Eagles, Kansas City Chiefs, Miami Dolphins, Baltimore Ravens, Dallas Cowboys, Atlanta Falcons, Arizona Cardinals, Los Angeles Rams.\nEveryone drives a different motorbike: Ducati, Bajaj, Yamaha, Benelli, Kawasaki, Buell, Suzuki, Honda.\nEveryone has a different name: Michelle, Mandy, Rajiv, Ali, Mallika, Wang, Mohsen, Jones.\nEveryone lives in a different colored house: pink, teal, gold, violet, magenta, turquoise, grey, beige.\nEveryone likes a different physical activity: hiking, weight lifting, paragliding, scuba diving, base jumping, running, swimming, snorkeling.\nEveryone owns a different handbag brand: Dolce and Gabbana, Versace, Balenciaga, Coach, Gucci, Tumi, Polo Ralph Lauren, Michael Kors.\nEveryone likes a different type of gemstone: Pearls, Sapphires, Corals, Diamonds, Aquamarines, Obsidians, Moonstones, Emeralds.\nEveryone reads a different genre of books: history, mystery, short story, fantasy, magical realism, romance, science fiction, humor.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who supports the Kansas City Chiefs is immediately to the left of the person who likes Emeralds.\nClue 2: The person who owns a Michael Kors is immediately to the left of the person who owns a Gucci.\nClue 3: The person who likes Moonstones is immediately to the left of the person who lives in the turquoise house.\nClue 4: The person who likes swimming is the person who drives the Ducati.\nClue 5: The person who likes hiking is next to the person who likes Aquamarines.\nClue 6: The person who likes snorkeling is at one of the ends.\nClue 7: The person who drives the Buell is not the person who owns a Versace.\nClue 8: The person who supports the Baltimore Ravens is next to the person who reads humor books.\nClue 9: The person who supports the Dallas Cowboys is the person who lives in the turquoise house.\nClue 10: The person who likes Sapphires is somewhere to the left of the person who reads romance books.\nClue 11: The person who owns a Gucci is at one of the ends.\nClue 12: Michelle is next to the person who drives the Yamaha.\nClue 13: The person who lives in the gold house is at one of the ends.\nClue 14: The person who reads history books is at one of the ends.\nClue 15: The person who drives the Kawasaki is immediately to the left of the person who likes swimming.\nClue 16: The person who lives in the magenta house is the person who likes Corals.\nClue 17: The person who lives in the violet house is immediately to the left of the person at the 2nd position.\nClue 18: The person who likes running is the person who supports the Dallas Cowboys.\nClue 19: The person who likes Sapphires is immediately to the left of the person who lives in the gold house.\nClue 20: Ali is the person who likes running.\nClue 21: The person who owns a Gucci is next to the person who likes scuba diving.\nClue 22: Wang is the person who likes scuba diving.\nClue 23: The person who owns a Coach is the person at the 3rd position.\nClue 24: Mandy is somewhere in between the person who likes Obsidians and the person who reads science fiction books in that order.\nClue 25: The person who supports the Baltimore Ravens is immediately to the left of the person who lives in the grey house.\nClue 26: The person who drives the Benelli is somewhere in between the person who likes Corals and the person who drives the Honda in that order.\nClue 27: The person who supports the Atlanta Falcons is somewhere to the left of Mohsen.\nClue 28: The person who likes Aquamarines is at one of the ends.\nClue 29: The person who likes base jumping is the person who reads science fiction books.\nClue 30: Jones is the person who supports the Philadelphia Eagles.\nClue 31: The person who likes Aquamarines is immediately to the left of the person who lives in the teal house.\nClue 32: The person who owns a Versace is somewhere in between the person who drives the Suzuki and the person who owns a Coach in that order.\nClue 33: The person who supports the Arizona Cardinals is somewhere to the left of Rajiv.\nClue 34: Jones is at one of the ends.\nClue 35: The person who drives the Yamaha is somewhere to the left of the person who likes paragliding.\nClue 36: The person who supports the Miami Dolphins is the person who likes Obsidians.\nClue 37: The person who drives the Buell is the person who owns a Polo Ralph Lauren.\nClue 38: The person who supports the Atlanta Falcons is the person who likes scuba diving.\nClue 39: The person who likes Emeralds is somewhere in between the person who lives in the pink house and the person who drives the Ducati in that order.\nClue 40: The person who owns a Gucci is the person who likes Pearls.\nClue 41: The person who supports the Baltimore Ravens is immediately to the left of the person who likes Obsidians.\nClue 42: The person who likes Aquamarines is immediately to the left of Michelle.\nClue 43: The person who reads mystery books is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 44: The person who reads science fiction books is somewhere to the left of the person who reads short story books.\nClue 45: The person who drives the Benelli is the person who supports the Kansas City Chiefs.\nClue 46: The person who likes base jumping is immediately to the left of the person who likes Emeralds.\nClue 47: The person who reads history books is immediately to the left of the person who supports the Baltimore Ravens.\nClue 48: The person who owns a Dolce and Gabbana is immediately to the left of the person who owns a Balenciaga.\nClue 49: The person who likes Pearls is the person who drives the Ducati.\nClue 50: The person who supports the Atlanta Falcons is the person who reads magical realism books.\n\nQuestion: What position is Rajiv at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:170", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone has a different name: Nour, Maven, Siva, Ahmed, Barbara, Rose, Mandy, Michael.\nEveryone owns a different handbag brand: Coach, Gucci, Polo Ralph Lauren, Tory Burch, Tumi, Versace, Kate Spade, Dolce and Gabbana.\nEveryone lives in a different colored house: blue, purple, indigo, turquoise, cyan, silver, white, beige.\nEveryone supports a different NBA team: Bucks, Warriors, Bulls, Cavaliers, Suns, Hawks, Celtics, Knicks.\nEveryone plays a different sport: ice hockey, tennis, badminton, volleyball, basketball, baseball, squash, soccer.\nEveryone reads a different genre of books: magical realism, history, romance, spiritual, science fiction, mystery, short story, humor.\nEveryone drinks a different drink: beer, milk, iced tea, water, lemonade, coffee, iced coffee, orange juice.\nEveryone drives a different car: Toyota, Mercedes, Ferrari, Hyundai, McLaren, Lexus, BMW, Ford.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who drives the Toyota is the person who supports the Warriors.\nClue 2: The person who owns a Tumi is immediately to the left of the person at the 6th position.\nClue 3: The soccer player is the person who drives the Ford.\nClue 4: The person who drives the BMW is somewhere in between the person who drives the Hyundai and the person who drinks water in that order.\nClue 5: The person who owns a Kate Spade is immediately to the left of the baseball player.\nClue 6: The person who reads mystery books is somewhere to the left of the person who supports the Hawks.\nClue 7: The tennis player is somewhere in between the person who drinks milk and the person who owns a Versace in that order.\nClue 8: The person who drinks beer is somewhere to the left of the volleyball player.\nClue 9: The person who supports the Suns is the person who reads magical realism books.\nClue 10: The person who lives in the indigo house is next to the ice hockey player.\nClue 11: The person who lives in the blue house is immediately to the left of the person who drives the McLaren.\nClue 12: The person who drives the McLaren is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 13: The tennis player is somewhere to the left of Rose.\nClue 14: The person who supports the Knicks is next to the person who owns a Dolce and Gabbana.\nClue 15: The person who owns a Tumi is Mandy.\nClue 16: The person who supports the Bucks is the person who owns a Coach.\nClue 17: Siva is the person who supports the Bulls.\nClue 18: The person who lives in the blue house is next to the basketball player.\nClue 19: Michael is the person who owns a Kate Spade.\nClue 20: The person who lives in the turquoise house is the person who owns a Kate Spade.\nClue 21: Mandy is next to the person who drinks iced tea.\nClue 22: The person who owns a Kate Spade is the person who drinks orange juice.\nClue 23: The person who drinks iced coffee is the person who drives the Toyota.\nClue 24: The volleyball player is Ahmed.\nClue 25: The person who drives the BMW is next to the person who reads spiritual books.\nClue 26: The person who lives in the turquoise house is at one of the ends.\nClue 27: The person who drinks beer is immediately to the left of the person who reads science fiction books.\nClue 28: The person who lives in the blue house is next to the person who drinks coffee.\nClue 29: The person who supports the Celtics is immediately to the left of the person who supports the Bucks.\nClue 30: The person who reads history books is the person who owns a Tumi.\nClue 31: The person who owns a Tory Burch is the person who drives the McLaren.\nClue 32: Barbara is next to the baseball player.\nClue 33: The person who owns a Kate Spade is immediately to the left of the person who reads romance books.\nClue 34: The baseball player is somewhere to the left of Nour.\nClue 35: The person who lives in the purple house is the person who reads mystery books.\nClue 36: The person who lives in the silver house is somewhere to the left of the person who drives the Hyundai.\nClue 37: The person who lives in the silver house is immediately to the left of the person who supports the Suns.\nClue 38: The person who reads history books is somewhere to the left of Siva.\nClue 39: The person who lives in the turquoise house is the basketball player.\nClue 40: The person who reads mystery books is the tennis player.\nClue 41: The person who drinks coffee is the badminton player.\nClue 42: Ahmed is the person at the 6th position.\nClue 43: The person who lives in the white house is somewhere in between the person who reads humor books and the person who owns a Polo Ralph Lauren in that order.\nClue 44: The person who drives the Ferrari is at one of the ends.\nClue 45: The person who supports the Bucks is next to the person who lives in the indigo house.\nClue 46: The person who reads history books is immediately to the left of the person who drinks milk.\nClue 47: The tennis player is immediately to the left of the person who lives in the cyan house.\nClue 48: The person who reads short story books is the person who supports the Cavaliers.\nClue 49: The person who reads history books is the person who supports the Warriors.\nClue 50: The person who drives the Lexus is immediately to the left of the person who reads history books.\nClue 51: The person who owns a Polo Ralph Lauren is the person who lives in the beige house.\n\nQuestion: What position is the person who drives the McLaren at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:173", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone owns a different handbag brand: Coach, Balenciaga, Versace, Tumi, Michael Kors, Polo Ralph Lauren, Dolce and Gabbana, Gucci.\nEveryone likes a different fruit: bananas, strawberries, oranges, pears, apples, raspberries, kiwis, mangoes.\nEveryone likes a different type of gemstone: Opals, Ambers, Emeralds, Amethysts, Obsidians, Topaz, Gypsum, Sapphires.\nEveryone likes a different physical activity: hiking, base jumping, scuba diving, swimming, weight lifting, running, bungee jumping, skiing.\nEveryone lives in a different colored house: blue, black, grey, pink, red, violet, purple, yellow.\nEveryone plays a different sport: ice hockey, baseball, badminton, volleyball, cricket, squash, table tennis, soccer.\nEveryone likes a different food: sandwiches, fried rice, kebabs, burgers, curry, noodles, pizza, tacos.\nEveryone likes a different favorite animal: panda bears, geese, llamas, beavers, whales, polar bears, canaries, mosquitoes.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who eats oranges is somewhere in between the person who likes burgers and the person who likes pizza in that order.\nClue 2: The person who likes scuba diving is the person who lives in the yellow house.\nClue 3: The person who lives in the blue house is immediately to the left of the person who owns a Balenciaga.\nClue 4: The person who eats apples is the person who owns a Balenciaga.\nClue 5: The person who likes canaries is at one of the ends.\nClue 6: The person who likes geese is somewhere to the left of the person who likes running.\nClue 7: The person who likes kebabs is the ice hockey player.\nClue 8: The baseball player is the person who lives in the blue house.\nClue 9: The person who eats bananas is the person who likes llamas.\nClue 10: The person who likes weight lifting is next to the cricket player.\nClue 11: The badminton player is at one of the ends.\nClue 12: The person who likes Gypsum is the person who likes noodles.\nClue 13: The person who likes noodles is at one of the ends.\nClue 14: The person who eats kiwis is the person who likes whales.\nClue 15: The person who likes sandwiches is somewhere to the left of the person who likes Emeralds.\nClue 16: The person who likes Topaz is the person who eats pears.\nClue 17: The person who likes weight lifting is the person who likes Emeralds.\nClue 18: The person who owns a Coach is the person at the 6th position.\nClue 19: The person who lives in the red house is somewhere in between the person who owns a Tumi and the person who likes canaries in that order.\nClue 20: The person who likes beavers is immediately to the left of the soccer player.\nClue 21: The person who likes Amethysts is somewhere to the left of the person who likes llamas.\nClue 22: The person who likes weight lifting is the person who eats apples.\nClue 23: The person who eats kiwis is immediately to the left of the person who likes tacos.\nClue 24: The person at the 3rd position is the person who likes panda bears.\nClue 25: The person who likes llamas is next to the ice hockey player.\nClue 26: The table tennis player is next to the person who eats raspberries.\nClue 27: The person who likes bungee jumping is at one of the ends.\nClue 28: The person who owns a Polo Ralph Lauren is at one of the ends.\nClue 29: The person who eats mangoes is next to the person who owns a Dolce and Gabbana.\nClue 30: The person who likes weight lifting is the person who lives in the red house.\nClue 31: The person at the 7th position is the person who lives in the pink house.\nClue 32: The person who owns a Balenciaga is next to the person who likes geese.\nClue 33: The person who likes swimming is immediately to the left of the person who likes kebabs.\nClue 34: The badminton player is next to the person who likes Amethysts.\nClue 35: The person who likes Topaz is the person who owns a Michael Kors.\nClue 36: The person who eats oranges is somewhere to the left of the volleyball player.\nClue 37: The person who eats pears is at one of the ends.\nClue 38: The person who likes base jumping is immediately to the left of the person who lives in the grey house.\nClue 39: The person who eats bananas is the baseball player.\nClue 40: The person who likes canaries is the person who lives in the purple house.\nClue 41: The person who likes mosquitoes is the person who lives in the grey house.\nClue 42: The person who likes fried rice is at one of the ends.\nClue 43: The person who likes noodles is the person who eats kiwis.\nClue 44: The person who eats raspberries is the person who likes Sapphires.\nClue 45: The person who likes Emeralds is immediately to the left of the person who likes skiing.\nClue 46: The person who lives in the black house is at one of the ends.\nClue 47: The person who owns a Gucci is the person who likes mosquitoes.\nClue 48: The person who likes tacos is the person who eats mangoes.\nClue 49: The person who likes Emeralds is the squash player.\nClue 50: The person who likes noodles is somewhere to the left of the person who likes burgers.\nClue 51: The person who likes llamas is the person who likes Obsidians.\nClue 52: The volleyball player is the person who likes Opals.\nClue 53: The person who lives in the grey house is the person who eats mangoes.\nClue 54: The badminton player is next to the person who likes swimming.\nClue 55: The person who lives in the yellow house is immediately to the left of the baseball player.\nClue 56: The person who likes weight lifting is the person who likes burgers.\n\nQuestion: What position is the person who likes curry at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:176", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone is a different nationality: Serbian, Hungarian, Israeli, Russian, Japanese, Turkish, Australian, Canadian.\nEveryone likes a different physical activity: weight lifting, swimming, snorkeling, paragliding, running, biking, bungee jumping, hiking.\nEveryone likes a different food: kebabs, pasta, sandwiches, curry, burgers, soups, noodles, pizza.\nEveryone likes a different type of gemstone: Ambers, Aquamarines, Pearls, Rubies, Corals, Emeralds, Jade, Moonstones.\nEveryone likes a different fruit: blackberries, strawberries, grapes, pears, apples, raspberries, mangoes, oranges.\nEveryone lives in a different colored house: beige, brown, silver, violet, indigo, red, magenta, green.\nEveryone drives a different motorbike: Ducati, Yamaha, Suzuki, Kawasaki, Bajaj, Piaggio, Buell, Harley-Davidson.\nEveryone drinks a different drink: orange juice, milk, tea, iced tea, coffee, iced coffee, lemonade, hot chocolate.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes curry is somewhere in between the person who likes Ambers and the person who drives the Kawasaki in that order.\nClue 2: The person who likes paragliding is next to the Turkish.\nClue 3: The person who drinks hot chocolate is next to the person who drives the Kawasaki.\nClue 4: The person who drives the Buell is immediately to the left of the person who likes Jade.\nClue 5: The person who likes swimming is immediately to the left of the person who eats strawberries.\nClue 6: The person who likes weight lifting is next to the person who lives in the magenta house.\nClue 7: The person who likes sandwiches is immediately to the left of the person who likes biking.\nClue 8: The person who drinks iced tea is next to the person who drinks lemonade.\nClue 9: The person who likes pizza is the person who drives the Bajaj.\nClue 10: The person who eats strawberries is the person who likes Emeralds.\nClue 11: The Russian is the person who drives the Bajaj.\nClue 12: The Japanese is somewhere to the left of the person who likes pasta.\nClue 13: The person who likes Moonstones is somewhere in between the person who likes Corals and the person who drinks coffee in that order.\nClue 14: The person at the 8th position is the person who likes Pearls.\nClue 15: The person who eats strawberries is immediately to the left of the person who lives in the beige house.\nClue 16: The person who eats blackberries is the person who drives the Yamaha.\nClue 17: The person who likes paragliding is next to the person who lives in the silver house.\nClue 18: The person who lives in the indigo house is the person who likes paragliding.\nClue 19: The person who likes paragliding is next to the person who eats apples.\nClue 20: The Russian is immediately to the left of the Canadian.\nClue 21: The person who drives the Kawasaki is at one of the ends.\nClue 22: The person who likes running is immediately to the left of the person who drinks iced coffee.\nClue 23: The person who lives in the red house is the person who drinks iced tea.\nClue 24: The Serbian is the person who lives in the magenta house.\nClue 25: The person who lives in the brown house is the person who likes noodles.\nClue 26: The person who likes hiking is at one of the ends.\nClue 27: The person who eats mangoes is immediately to the left of the person who drives the Piaggio.\nClue 28: The person who likes Ambers is at one of the ends.\nClue 29: The person who likes Aquamarines is the Canadian.\nClue 30: The person who drinks iced tea is at one of the ends.\nClue 31: The person who lives in the red house is immediately to the left of the person who likes paragliding.\nClue 32: The Australian is at one of the ends.\nClue 33: The person who likes Rubies is immediately to the left of the person who likes bungee jumping.\nClue 34: The person who lives in the brown house is somewhere to the left of the person who likes pasta.\nClue 35: The person at the 4th position is immediately to the left of the person who drives the Suzuki.\nClue 36: The person who likes curry is somewhere to the left of the person who lives in the beige house.\nClue 37: The person who likes Pearls is the person who eats pears.\nClue 38: The Hungarian is next to the person who drives the Ducati.\nClue 39: The person who drives the Yamaha is immediately to the left of the person who drinks tea.\nClue 40: The person who likes Moonstones is next to the person who likes weight lifting.\nClue 41: The person who likes bungee jumping is the Russian.\nClue 42: The person who drives the Suzuki is the person who likes curry.\nClue 43: The person who likes Rubies is the Hungarian.\nClue 44: The person who lives in the green house is the person who eats grapes.\nClue 45: The person who eats raspberries is the person who drives the Bajaj.\nClue 46: The person who likes weight lifting is not the Japanese.\nClue 47: The person who drives the Ducati is the person who drinks iced tea.\nClue 48: The person who likes soups is at one of the ends.\nClue 49: The person who likes burgers is somewhere in between the person who eats strawberries and the person who eats grapes in that order.\nClue 50: The person who drives the Buell is immediately to the left of the person who drinks milk.\n\nQuestion: What position is the person who likes weight lifting at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:177", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone owns a different handbag brand: Tumi, Kate Spade, Balenciaga, Polo Ralph Lauren, Gucci, Tory Burch, Dolce and Gabbana, Michael Kors.\nEveryone reads a different genre of books: science fiction, humor, history, fantasy, short story, mystery, magical realism, romance.\nEveryone likes a different fruit: raspberries, apples, oranges, blackberries, mangoes, blueberries, grapes, pears.\nEveryone has a different favorite hobby: biking, origami, bird watching, dancing, mixology, fishing, quilting, camping.\nEveryone drives a different car: Tesla, Lexus, Ford, McLaren, Toyota, Ferrari, Honda, Mercedes.\nEveryone likes a different food: noodles, kebabs, soups, fried rice, tacos, burgers, pizza, sandwiches.\nEveryone drinks a different drink: iced tea, coffee, tea, beer, milk, iced coffee, water, orange juice.\nEveryone has a different favorite soft drink: 7up, Dr Pepper, Mirinda, Sprite, Gatorade, Pepsi, Fanta, Canada Dry.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes noodles is somewhere to the left of the person who reads fantasy books.\nClue 2: The person who drives the Tesla is immediately to the left of the person who owns a Balenciaga.\nClue 3: The person who drives the Honda is somewhere in between the person who drinks orange juice and the person who eats oranges in that order.\nClue 4: The person who drinks orange juice is the person who likes noodles.\nClue 5: The person who eats apples is the person who likes Gatorade.\nClue 6: The person who eats raspberries is the person who likes sandwiches.\nClue 7: The person who drinks iced tea is the person who likes Gatorade.\nClue 8: The person who likes kebabs is next to the person who eats apples.\nClue 9: The person who reads short story books is at one of the ends.\nClue 10: The person who owns a Gucci is the person who likes origami.\nClue 11: The person who owns a Balenciaga is next to the person who eats pears.\nClue 12: The person who reads romance books is the person who likes biking.\nClue 13: The person who drives the Ferrari is the person who likes fried rice.\nClue 14: The person who owns a Tumi is the person at the 3rd position.\nClue 15: The person who likes dancing is the person who likes Mirinda.\nClue 16: The person who likes Pepsi is immediately to the left of the person who eats mangoes.\nClue 17: The person who drives the Toyota is the person who likes fishing.\nClue 18: The person who owns a Gucci is immediately to the left of the person who owns a Polo Ralph Lauren.\nClue 19: The person who drinks iced coffee is next to the person who likes fishing.\nClue 20: The person who likes sandwiches is the person who owns a Polo Ralph Lauren.\nClue 21: The person who reads romance books is somewhere to the left of the person who eats blueberries.\nClue 22: The person who likes biking is immediately to the left of the person who likes camping.\nClue 23: The person who drives the Ferrari is at one of the ends.\nClue 24: The person who drinks water is immediately to the left of the person who likes Canada Dry.\nClue 25: The person who reads magical realism books is the person who eats raspberries.\nClue 26: The person who drinks orange juice is immediately to the left of the person who drinks water.\nClue 27: The person who drives the Toyota is immediately to the left of the person who drives the McLaren.\nClue 28: The person who likes Dr Pepper is next to the person at the 5th position.\nClue 29: The person who reads history books is the person who drinks iced coffee.\nClue 30: The person who drinks tea is the person who owns a Tory Burch.\nClue 31: The person who likes tacos is the person who reads science fiction books.\nClue 32: The person who owns a Kate Spade is next to the person who likes sandwiches.\nClue 33: The person who eats grapes is somewhere in between the person who drinks tea and the person who likes Mirinda in that order.\nClue 34: The person who drives the Honda is next to the person who reads mystery books.\nClue 35: The person who drives the Tesla is immediately to the left of the person who likes mixology.\nClue 36: The person who likes burgers is at one of the ends.\nClue 37: The person who likes Pepsi is at one of the ends.\nClue 38: The person who drives the Lexus is the person who reads history books.\nClue 39: The person who likes bird watching is next to the person who drinks coffee.\nClue 40: The person who reads science fiction books is somewhere in between the person who reads history books and the person who likes noodles in that order.\nClue 41: The person who owns a Michael Kors is at one of the ends.\nClue 42: The person who likes kebabs is the person at the 2nd position.\nClue 43: The person who owns a Balenciaga is immediately to the left of the person who likes Sprite.\nClue 44: The person who drives the Tesla is not the person who likes soups.\nClue 45: The person who drives the McLaren is somewhere to the left of the person who likes sandwiches.\nClue 46: The person who likes dancing is immediately to the left of the person who drives the Ford.\nClue 47: The person who likes Canada Dry is at one of the ends.\nClue 48: The person who likes quilting is next to the person who drives the Honda.\nClue 49: The person who eats pears is the person who drives the Toyota.\nClue 50: The person who drinks milk is next to the person who eats mangoes.\nClue 51: The person who likes fishing is somewhere to the left of the person who eats grapes.\nClue 52: The person who drives the Tesla is the person who eats apples.\nClue 53: The person who reads humor books is immediately to the left of the person who likes Fanta.\n\nQuestion: What position is the person who owns a Michael Kors at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:178", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone has a different name: Siva, Bob, Randy, Tao, Rafael, Rose, Barbara, Mohan.\nEveryone plays a different musical instrument: flute, guitar, piano, harmonica, violin, harp, drums, cello.\nEveryone has a different favorite soft drink: Coke, Gatorade, Canada Dry, Limca, Mirinda, Powerade, Dr Pepper, Sprite.\nEveryone likes a different physical activity: running, paragliding, biking, base jumping, scuba diving, weight lifting, hiking, bungee jumping.\nEveryone lives in a different colored house: yellow, red, magenta, white, turquoise, indigo, orange, purple.\nEveryone likes a different fruit: oranges, raspberries, kiwis, bananas, apples, grapes, pears, blackberries.\nEveryone supports a different NBA team: Bulls, Knicks, Suns, Celtics, Hawks, Warriors, Mavericks, Bucks.\nEveryone has a different favorite hobby: bird watching, stamp collecting, canoeing, sailing, dancing, pottery, crocheting, juggling.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who supports the Hawks is the person who likes Dr Pepper.\nClue 2: The person who eats kiwis is the person who supports the Bucks.\nClue 3: The violin player is the person who likes base jumping.\nClue 4: The person who lives in the turquoise house is the person who supports the Celtics.\nClue 5: The person who lives in the white house is immediately to the left of the person who supports the Celtics.\nClue 6: Siva is the person who likes bungee jumping.\nClue 7: The person at the 5th position is immediately to the left of the person who lives in the red house.\nClue 8: The harp player is immediately to the left of the person who likes dancing.\nClue 9: Rose is the harp player.\nClue 10: The person who lives in the orange house is the person who eats raspberries.\nClue 11: The drums player is the person who eats blackberries.\nClue 12: The person who likes sailing is somewhere in between Tao and the person who likes bird watching in that order.\nClue 13: Rose is next to the person who lives in the yellow house.\nClue 14: The person who likes Sprite is the person who likes running.\nClue 15: The piano player is the person who likes scuba diving.\nClue 16: The person who likes crocheting is somewhere in between the person who likes Powerade and the person who likes scuba diving in that order.\nClue 17: The person who supports the Hawks is next to the person who likes Mirinda.\nClue 18: The person at the 3rd position is the person who likes canoeing.\nClue 19: The person who likes pottery is Randy.\nClue 20: The person who likes Gatorade is the person who likes scuba diving.\nClue 21: The flute player is next to Randy.\nClue 22: The person who likes juggling is the person who likes Coke.\nClue 23: The person who supports the Hawks is the person who lives in the yellow house.\nClue 24: The person who lives in the purple house is at one of the ends.\nClue 25: The person who likes paragliding is immediately to the left of Bob.\nClue 26: The harmonica player is somewhere in between the person who likes Gatorade and Bob in that order.\nClue 27: The person who lives in the white house is not the guitar player.\nClue 28: The person who likes crocheting is immediately to the left of the person who lives in the red house.\nClue 29: The person who likes Mirinda is immediately to the left of the person who likes hiking.\nClue 30: The person who supports the Celtics is next to the person who eats grapes.\nClue 31: Mohan is next to the person who supports the Warriors.\nClue 32: The person who eats oranges is the person who lives in the white house.\nClue 33: The person who eats bananas is the person who lives in the indigo house.\nClue 34: The person who likes juggling is next to the person who lives in the yellow house.\nClue 35: The person who eats kiwis is Rose.\nClue 36: The person who supports the Celtics is somewhere in between the person who supports the Suns and Barbara in that order.\nClue 37: The person who lives in the red house is Mohan.\nClue 38: The person who likes scuba diving is somewhere to the left of the person who supports the Mavericks.\nClue 39: Mohan is the person who eats pears.\nClue 40: The person who lives in the indigo house is the flute player.\nClue 41: The person who likes Gatorade is next to the person who likes base jumping.\nClue 42: The person who supports the Suns is next to Tao.\nClue 43: The person who likes scuba diving is somewhere in between the violin player and the person who likes paragliding in that order.\nClue 44: The person who eats apples is the person who likes Dr Pepper.\nClue 45: The person who eats kiwis is at one of the ends.\nClue 46: The person who eats bananas is at one of the ends.\nClue 47: The person who supports the Bulls is at one of the ends.\nClue 48: The person who likes hiking is next to the person who likes biking.\nClue 49: The violin player is somewhere in between the person who lives in the turquoise house and the person who likes sailing in that order.\nClue 50: The person who likes Canada Dry is somewhere in between the person at the 6th position and the person who likes Sprite in that order.\n\nQuestion: What position is the person who likes sailing at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:183", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone has a different name: Michelle, Ahmed, Rafael, Rajiv, Mohan, Yair, Alex, Trinity.\nEveryone supports a different NFL team: Philadelphia Eagles, Kansas City Chiefs, Buffalo Bills, Dallas Cowboys, Green Bay Packers, Los Angeles Rams, Tennessee Titans, Miami Dolphins.\nEveryone has a different favorite soft drink: Canada Dry, Gatorade, Sprite, Limca, Mirinda, 7up, Powerade, Fanta.\nEveryone is a different nationality: Portuguese, Belarusian, Spanish, Brit, Bangladeshi, Russian, Pakistani, Mexican.\nEveryone has a different favorite hobby: language learning, canoeing, biking, kite flying, painting, dancing, kayaking, juggling.\nEveryone plays a different sport: badminton, table tennis, baseball, squash, tennis, soccer, ice hockey, volleyball.\nEveryone lives in a different colored house: grey, gold, magenta, cyan, silver, turquoise, orange, green.\nEveryone plays a different musical instrument: violin, guitar, oboe, drums, harp, saxophone, cello, piano.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes Gatorade is the oboe player.\nClue 2: Rajiv is at one of the ends.\nClue 3: The squash player is the person who supports the Kansas City Chiefs.\nClue 4: The person who likes Sprite is next to Trinity.\nClue 5: The piano player is next to the person who lives in the turquoise house.\nClue 6: The person who likes Fanta is immediately to the left of the person who supports the Philadelphia Eagles.\nClue 7: The Mexican is somewhere to the left of the cello player.\nClue 8: The person who likes Gatorade is the badminton player.\nClue 9: The violin player is at one of the ends.\nClue 10: The person who likes painting is at one of the ends.\nClue 11: The person at the 3rd position is immediately to the left of the badminton player.\nClue 12: The tennis player is next to the person who lives in the grey house.\nClue 13: The person who likes dancing is next to the Brit.\nClue 14: Alex is next to the person who supports the Green Bay Packers.\nClue 15: The person who likes juggling is the person who likes Fanta.\nClue 16: The person who lives in the orange house is somewhere in between the person who likes Powerade and the person who likes Mirinda in that order.\nClue 17: The person who likes biking is the ice hockey player.\nClue 18: The Spanish is at one of the ends.\nClue 19: The tennis player is somewhere to the left of the guitar player.\nClue 20: The person who lives in the grey house is at one of the ends.\nClue 21: The Russian is immediately to the left of the person who supports the Kansas City Chiefs.\nClue 22: The Portuguese is somewhere to the left of the person at the 6th position.\nClue 23: The person who lives in the orange house is next to the person who lives in the turquoise house.\nClue 24: The soccer player is Mohan.\nClue 25: The person who likes biking is next to the person who supports the Los Angeles Rams.\nClue 26: The person who lives in the orange house is the person who supports the Tennessee Titans.\nClue 27: The drums player is next to the person who lives in the grey house.\nClue 28: The person who likes Canada Dry is the baseball player.\nClue 29: Ahmed is at one of the ends.\nClue 30: The person who likes canoeing is somewhere in between the person who likes Limca and the guitar player in that order.\nClue 31: The person who likes biking is immediately to the left of the Belarusian.\nClue 32: The person who likes kayaking is the person who lives in the grey house.\nClue 33: The person who supports the Miami Dolphins is somewhere to the left of the person at the 3rd position.\nClue 34: The tennis player is somewhere in between the harp player and Rajiv in that order.\nClue 35: The piano player is not the Belarusian.\nClue 36: The person who lives in the silver house is immediately to the left of the person who lives in the cyan house.\nClue 37: The Mexican is the person who lives in the magenta house.\nClue 38: The person who lives in the magenta house is the oboe player.\nClue 39: The person who supports the Miami Dolphins is immediately to the left of the person who likes juggling.\nClue 40: Alex is the person who likes Sprite.\nClue 41: The person who lives in the silver house is immediately to the left of the squash player.\nClue 42: The person who likes juggling is immediately to the left of the harp player.\nClue 43: The person who likes painting is the Russian.\nClue 44: The person who supports the Dallas Cowboys is somewhere to the left of the person who lives in the orange house.\nClue 45: The person who lives in the green house is immediately to the left of the person who lives in the orange house.\nClue 46: The Bangladeshi is somewhere in between the person who likes Powerade and the person who lives in the grey house in that order.\nClue 47: The saxophone player is immediately to the left of the volleyball player.\nClue 48: The person at the 3rd position is the person who likes Sprite.\nClue 49: The person who supports the Miami Dolphins is the person who likes 7up.\nClue 50: The squash player is next to the table tennis player.\nClue 51: The person who likes language learning is the person who likes Powerade.\nClue 52: The person who likes kite flying is immediately to the left of the person who likes dancing.\nClue 53: The person at the 6th position is somewhere to the left of the person who lives in the grey house.\nClue 54: The person who likes Canada Dry is next to the person who likes canoeing.\nClue 55: Yair is next to Rajiv.\nClue 56: The Belarusian is the person who likes canoeing.\nClue 57: The person who likes painting is immediately to the left of Michelle.\nClue 58: The cello player is the Portuguese.\n\nQuestion: What position is the person who lives in the silver house at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:184", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone likes a different physical activity: base jumping, biking, snorkeling, bungee jumping, scuba diving, swimming, skiing, hiking.\nEveryone has a different profession: engineer, athlete, teacher, designer, chef, programmer, architect, doctor.\nEveryone drives a different car: Kia, Mercedes, Ferrari, Audi, McLaren, Toyota, Ford, Honda.\nEveryone smokes a different cigarette: Davidoff, Salem, Camel, Marlboro, Newport, Pall Mall, Blends, Winston.\nEveryone supports a different NBA team: Lakers, Hawks, Knicks, Bucks, Cavaliers, Suns, Bulls, Warriors.\nEveryone likes a different type of gemstone: Diamonds, Rubies, Ambers, Moonstones, Jade, Topaz, Opals, Obsidians.\nEveryone is a different nationality: Korean, Swede, Swiss, Pakistani, Italian, American, Irish, Indian.\nEveryone likes a different favorite animal: camels, swordfish, crabs, aardvarks, ostriches, bats, grizzly bears, beavers.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes bats is at one of the ends.\nClue 2: The Italian is the person who drives the Kia.\nClue 3: The person who drives the Toyota is the person who smokes Salem.\nClue 4: The person who likes Ambers is the person who supports the Cavaliers.\nClue 5: The engineer is immediately to the left of the person who drives the Audi.\nClue 6: The person who supports the Warriors is immediately to the left of the person who likes Diamonds.\nClue 7: The athlete is next to the person at the 3rd position.\nClue 8: The person who smokes Marlboro is the person who likes Moonstones.\nClue 9: The person who smokes Newport is somewhere to the left of the person who likes Opals.\nClue 10: The person who likes biking is the person who likes Jade.\nClue 11: The architect is the person who smokes Pall Mall.\nClue 12: The person who supports the Knicks is at one of the ends.\nClue 13: The person who likes hiking is immediately to the left of the Swiss.\nClue 14: The designer is the Pakistani.\nClue 15: The person at the 1st position is the person who smokes Camel.\nClue 16: The Swede is immediately to the left of the person who likes Rubies.\nClue 17: The person who likes ostriches is next to the American.\nClue 18: The Italian is immediately to the left of the person who supports the Suns.\nClue 19: The person who likes ostriches is next to the person who likes hiking.\nClue 20: The person who smokes Camel is immediately to the left of the person who likes Moonstones.\nClue 21: The programmer is at one of the ends.\nClue 22: The person who likes skiing is the person who supports the Bucks.\nClue 23: The person who likes Diamonds is immediately to the left of the person who drives the Mercedes.\nClue 24: The designer is the person who likes Moonstones.\nClue 25: The person who likes base jumping is somewhere in between the person who supports the Hawks and the person who smokes Davidoff in that order.\nClue 26: The person who supports the Lakers is somewhere to the left of the person who likes camels.\nClue 27: The person who likes bats is the person who drives the McLaren.\nClue 28: The chef is at one of the ends.\nClue 29: The person who supports the Hawks is the Irish.\nClue 30: The person who likes biking is next to the person who likes Rubies.\nClue 31: The person who drives the Honda is somewhere to the left of the person who drives the Kia.\nClue 32: The person who likes swimming is next to the person who likes beavers.\nClue 33: The Indian is at one of the ends.\nClue 34: The person who likes swordfish is the person who supports the Hawks.\nClue 35: The person who likes biking is the chef.\nClue 36: The person who likes grizzly bears is next to the person who smokes Davidoff.\nClue 37: The Swede is the person who smokes Winston.\nClue 38: The Pakistani is next to the person who likes swordfish.\nClue 39: The doctor is somewhere to the left of the chef.\nClue 40: The person who likes swordfish is the person who smokes Blends.\nClue 41: The American is at one of the ends.\nClue 42: The person who likes Topaz is at one of the ends.\nClue 43: The person who likes scuba diving is somewhere in between the person who likes crabs and the person who supports the Bucks in that order.\nClue 44: The architect is somewhere in between the doctor and the person who likes aardvarks in that order.\nClue 45: The person who supports the Cavaliers is the doctor.\nClue 46: The person who drives the Audi is the person at the 7th position.\nClue 47: The person who drives the Kia is the person who likes crabs.\nClue 48: The person who drives the McLaren is the person who likes snorkeling.\nClue 49: The person who drives the Ferrari is next to the person who supports the Bulls.\nClue 50: The person who smokes Marlboro is immediately to the left of the person who drives the Ferrari.\nClue 51: The person who drives the Mercedes is somewhere to the left of the person who likes beavers.\nClue 52: The person who likes scuba diving is the Swede.\nClue 53: The designer is next to the person who likes hiking.\nClue 54: The person who likes swimming is immediately to the left of the person who smokes Winston.\n\nQuestion: What position is the person who likes Jade at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:185", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone has a different profession: spy, singer, writer, artist, designer, doctor, athlete, actor.\nEveryone supports a different NFL team: Kansas City Chiefs, Green Bay Packers, Dallas Cowboys, Buffalo Bills, Detroit Lions, Philadelphia Eagles, New England Patriots, San Francisco 49ers.\nEveryone likes a different type of flower: daffodils, daisies, lilies, tulips, carnations, roses, orchids, begonias.\nEveryone likes a different favorite animal: wolverines, elephants, kudus, grasshoppers, crickets, tigers, salmon, bees.\nEveryone drives a different motorbike: Yamaha, Harley-Davidson, Suzuki, Benelli, Buell, Piaggio, Ducati, Kawasaki.\nEveryone likes a different food: pizza, sandwiches, kebabs, pasta, soups, burgers, fried rice, noodles.\nEveryone likes a different fruit: raspberries, pears, kiwis, mangoes, apples, strawberries, grapes, bananas.\nEveryone drinks a different drink: iced tea, water, hot chocolate, milk, lemonade, tea, iced coffee, orange juice.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes daffodils is the person who likes fried rice.\nClue 2: The person who eats strawberries is the athlete.\nClue 3: The person who likes pasta is next to the person who eats grapes.\nClue 4: The person who likes grasshoppers is immediately to the left of the person who supports the Buffalo Bills.\nClue 5: The person who likes burgers is at one of the ends.\nClue 6: The person who supports the Philadelphia Eagles is the person who drinks tea.\nClue 7: The athlete is at one of the ends.\nClue 8: The person who eats bananas is the person who drives the Yamaha.\nClue 9: The person who likes salmon is somewhere in between the person who supports the Green Bay Packers and the person who likes roses in that order.\nClue 10: The person who eats bananas is somewhere to the left of the actor.\nClue 11: The spy is at one of the ends.\nClue 12: The person at the 6th position is immediately to the left of the person who likes elephants.\nClue 13: The person who likes bees is somewhere in between the person who drives the Buell and the spy in that order.\nClue 14: The person who eats raspberries is at one of the ends.\nClue 15: The person who drinks lemonade is the person who eats raspberries.\nClue 16: The person who likes pasta is the person who likes salmon.\nClue 17: The person who drinks iced tea is next to the person who drives the Buell.\nClue 18: The person who drinks lemonade is the person who likes orchids.\nClue 19: The doctor is immediately to the left of the person who supports the Dallas Cowboys.\nClue 20: The person who eats kiwis is somewhere in between the person who supports the Green Bay Packers and the person who drinks orange juice in that order.\nClue 21: The person who supports the New England Patriots is the person who likes carnations.\nClue 22: The person who drives the Ducati is the doctor.\nClue 23: The person who drinks hot chocolate is the person who likes begonias.\nClue 24: The person who likes orchids is next to the person who drinks milk.\nClue 25: The person who supports the New England Patriots is next to the person who drinks lemonade.\nClue 26: The person who supports the Philadelphia Eagles is the person who likes pizza.\nClue 27: The singer is the person who likes fried rice.\nClue 28: The person who drives the Piaggio is at one of the ends.\nClue 29: The person who eats kiwis is the person who likes tulips.\nClue 30: The person who drives the Suzuki is immediately to the left of the person who supports the Detroit Lions.\nClue 31: The person at the 3rd position is immediately to the left of the person who drives the Ducati.\nClue 32: The athlete is immediately to the left of the singer.\nClue 33: The person who supports the San Francisco 49ers is somewhere in between the person who supports the Dallas Cowboys and the person who drinks milk in that order.\nClue 34: The person who likes wolverines is somewhere in between the person at the 3rd position and the artist in that order.\nClue 35: The person who likes begonias is the person who supports the Kansas City Chiefs.\nClue 36: The person who supports the Green Bay Packers is somewhere in between the person who likes daisies and the person who eats kiwis in that order.\nClue 37: The person who likes soups is the person who likes grasshoppers.\nClue 38: The singer is the person who drives the Kawasaki.\nClue 39: The designer is the person who likes crickets.\nClue 40: The person who drinks hot chocolate is at one of the ends.\nClue 41: The artist is immediately to the left of the person who eats bananas.\nClue 42: The person who drives the Suzuki is next to the spy.\nClue 43: The person who likes fried rice is the person who likes bees.\nClue 44: The person who drives the Benelli is the person who eats mangoes.\nClue 45: The person who eats bananas is somewhere to the left of the person who eats pears.\nClue 46: The person who drives the Suzuki is somewhere to the left of the person who likes tigers.\nClue 47: The person who drinks iced coffee is the person who likes noodles.\nClue 48: The person who likes crickets is the person who drinks tea.\nClue 49: The person who likes kebabs is the person who drives the Yamaha.\n\nQuestion: What position is the person who likes noodles at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:188", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone likes a different physical activity: weight lifting, running, swimming, snorkeling, paragliding, scuba diving, hiking, biking.\nEveryone likes a different favorite animal: crocodiles, black bears, kangaroos, phoenixes, kudus, cows, ants, dolphins.\nEveryone supports a different NBA team: Suns, Warriors, Hawks, Bulls, Lakers, Knicks, Cavaliers, Mavericks.\nEveryone plays a different musical instrument: piano, saxophone, guitar, drums, harmonica, flute, cello, violin.\nEveryone has a different name: Charlie, Drew, Bob, Joseph, Margaret, Mallika, Karan, Rose.\nEveryone smokes a different cigarette: Blue Master, Newport, Blends, Salem, Pall Mall, Dunhill, Davidoff, Marlboro.\nEveryone drives a different motorbike: Ducati, Kawasaki, Buell, Harley-Davidson, Honda, Piaggio, Suzuki, Yamaha.\nEveryone is a different nationality: Canadian, Israeli, Belarusian, Brit, Italian, Serbian, Pakistani, Spanish.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who likes biking is somewhere in between the person who likes black bears and the flute player in that order.\nClue 2: The person at the 5th position is the person who smokes Pall Mall.\nClue 3: The person who likes phoenixes is somewhere in between the saxophone player and the person who likes black bears in that order.\nClue 4: The person who supports the Lakers is the person who drives the Suzuki.\nClue 5: The person who likes kudus is next to the person who supports the Lakers.\nClue 6: Mallika is somewhere in between the harmonica player and the person who smokes Blue Master in that order.\nClue 7: Margaret is somewhere in between the person who smokes Blue Master and the person who likes dolphins in that order.\nClue 8: The person who likes paragliding is the person who likes ants.\nClue 9: The person who likes snorkeling is immediately to the left of the guitar player.\nClue 10: The person who drives the Yamaha is immediately to the left of the person who likes hiking.\nClue 11: The person who supports the Suns is at one of the ends.\nClue 12: The person who likes weight lifting is immediately to the left of the person who likes phoenixes.\nClue 13: The person who smokes Newport is immediately to the left of the person who likes kudus.\nClue 14: The violin player is the Canadian.\nClue 15: The piano player is somewhere to the left of the person who likes black bears.\nClue 16: The Israeli is immediately to the left of the person who likes hiking.\nClue 17: The person who likes scuba diving is immediately to the left of the violin player.\nClue 18: The person who supports the Suns is somewhere to the left of the person who smokes Dunhill.\nClue 19: The person who likes swimming is Karan.\nClue 20: The person who likes kangaroos is somewhere in between Bob and the person who likes paragliding in that order.\nClue 21: Joseph is at one of the ends.\nClue 22: The piano player is at one of the ends.\nClue 23: The person who drives the Harley-Davidson is the person who likes running.\nClue 24: The person who smokes Dunhill is immediately to the left of the person who likes running.\nClue 25: The person at the 1st position is the Israeli.\nClue 26: The Spanish is somewhere in between the Italian and the person who likes ants in that order.\nClue 27: The person who supports the Cavaliers is somewhere in between the person who likes kudus and Mallika in that order.\nClue 28: The person who supports the Warriors is next to the person who drives the Buell.\nClue 29: The person who drives the Suzuki is immediately to the left of the person who drives the Buell.\nClue 30: The person who smokes Salem is next to the person who drives the Kawasaki.\nClue 31: The person who supports the Bulls is the Spanish.\nClue 32: The harmonica player is the person who supports the Cavaliers.\nClue 33: The Belarusian is next to the harmonica player.\nClue 34: The person at the 7th position is somewhere to the left of the person who likes swimming.\nClue 35: The person who drives the Piaggio is immediately to the left of the flute player.\nClue 36: The violin player is next to the piano player.\nClue 37: The person who drives the Buell is next to Rose.\nClue 38: The Serbian is the person who likes dolphins.\nClue 39: The drums player is the person who drives the Honda.\nClue 40: The drums player is the person who supports the Hawks.\nClue 41: The Israeli is the person who smokes Newport.\nClue 42: The person who supports the Knicks is immediately to the left of Karan.\nClue 43: The person who drives the Piaggio is next to the person who smokes Marlboro.\nClue 44: The person at the 5th position is immediately to the left of Drew.\nClue 45: Mallika is the Brit.\nClue 46: The person at the 1st position is immediately to the left of Charlie.\nClue 47: The person who smokes Davidoff is at one of the ends.\nClue 48: The person who likes crocodiles is immediately to the left of the violin player.\nClue 49: The person who drives the Harley-Davidson is immediately to the left of the person who likes biking.\nClue 50: The person who supports the Bulls is next to the person who likes paragliding.\n\nQuestion: What position is Mallika at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:190", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone supports a different NFL team: Baltimore Ravens, Tennessee Titans, Buffalo Bills, San Francisco 49ers, Seattle Seahawks, Detroit Lions, Miami Dolphins, Kansas City Chiefs.\nEveryone likes a different favorite animal: crocodiles, swallows, zebras, songbirds, grasshoppers, hippopotamuses, dolphins, dugongs.\nEveryone is a different nationality: Italian, Malaysian, Swiss, Australian, Brit, Canadian, Bulgarian, Spanish.\nEveryone smokes a different cigarette: Camel, Newport, Winston, Marlboro, Salem, Davidoff, Blue Master, Dunhill.\nEveryone plays a different musical instrument: harmonica, piano, oboe, cello, harp, guitar, flute, drums.\nEveryone likes a different food: soups, pasta, noodles, sandwiches, burgers, tacos, curry, kebabs.\nEveryone likes a different type of gemstone: Moonstones, Obsidians, Gypsum, Opals, Rubies, Aquamarines, Ambers, Dolomites.\nEveryone drives a different car: McLaren, Lexus, Toyota, Audi, Ferrari, Tesla, BMW, Kia.\nUsing the clues provided below, answer the question at the end.\nClue 1: The oboe player is somewhere in between the harmonica player and the person who likes soups in that order.\nClue 2: The person who drives the McLaren is somewhere in between the person who likes Obsidians and the person who supports the Detroit Lions in that order.\nClue 3: The person who likes kebabs is the person who likes Rubies.\nClue 4: The person who smokes Winston is the person who drives the Ferrari.\nClue 5: The harp player is the person who smokes Dunhill.\nClue 6: The person who drives the Ferrari is immediately to the left of the person who smokes Blue Master.\nClue 7: The Italian is somewhere in between the Swiss and the person who likes curry in that order.\nClue 8: The person who smokes Newport is next to the person who supports the Kansas City Chiefs.\nClue 9: The person who likes pasta is next to the person who likes burgers.\nClue 10: The person who likes dugongs is the person who likes soups.\nClue 11: The person who likes swallows is next to the Australian.\nClue 12: The Brit is immediately to the left of the person who drives the Toyota.\nClue 13: The person who smokes Davidoff is at one of the ends.\nClue 14: The person who supports the Buffalo Bills is next to the person who likes songbirds.\nClue 15: The person who smokes Blue Master is next to the person who drives the BMW.\nClue 16: The person who likes dolphins is next to the person who likes tacos.\nClue 17: The person who drives the Lexus is the person who likes Dolomites.\nClue 18: The person who likes sandwiches is the Spanish.\nClue 19: The person who likes Dolomites is at one of the ends.\nClue 20: The person who likes burgers is the oboe player.\nClue 21: The person who smokes Salem is somewhere to the left of the Swiss.\nClue 22: The person who drives the McLaren is the person who smokes Newport.\nClue 23: The person who supports the Baltimore Ravens is the person who likes Moonstones.\nClue 24: The Spanish is next to the person who likes songbirds.\nClue 25: The person who likes dolphins is the person who likes Gypsum.\nClue 26: The person who likes Opals is at one of the ends.\nClue 27: The person who likes zebras is immediately to the left of the person who supports the San Francisco 49ers.\nClue 28: The person who drives the Toyota is immediately to the left of the flute player.\nClue 29: The person who drives the Ferrari is at one of the ends.\nClue 30: The oboe player is next to the person who drives the Tesla.\nClue 31: The person who smokes Salem is the harmonica player.\nClue 32: The person who smokes Blue Master is immediately to the left of the person who likes crocodiles.\nClue 33: The Spanish is at one of the ends.\nClue 34: The person who drives the Tesla is immediately to the left of the person who supports the Seattle Seahawks.\nClue 35: The person who drives the McLaren is somewhere to the left of the person who likes hippopotamuses.\nClue 36: The person who likes Opals is the person who supports the Tennessee Titans.\nClue 37: The cello player is the person who likes songbirds.\nClue 38: The Malaysian is the person who likes kebabs.\nClue 39: The person who smokes Newport is somewhere to the left of the person who likes Dolomites.\nClue 40: The person who smokes Salem is next to the person who smokes Camel.\nClue 41: The person who drives the Ferrari is next to the person who likes kebabs.\nClue 42: The Australian is somewhere to the left of the person who likes hippopotamuses.\nClue 43: The person who drives the Lexus is next to the person who drives the McLaren.\nClue 44: The guitar player is the person at the 6th position.\nClue 45: The Spanish is the drums player.\nClue 46: The person who likes Moonstones is the person who likes noodles.\nClue 47: The person who smokes Winston is immediately to the left of the person who supports the San Francisco 49ers.\nClue 48: The person who likes Obsidians is somewhere in between the person who likes Gypsum and the flute player in that order.\nClue 49: The person who supports the Baltimore Ravens is somewhere in between the Brit and the person who likes curry in that order.\nClue 50: The person who likes swallows is the person who likes Ambers.\nClue 51: The person who likes songbirds is immediately to the left of the person who smokes Dunhill.\nClue 52: The person who likes Moonstones is next to the person who drives the Lexus.\nClue 53: The harp player is the Bulgarian.\nClue 54: The person who likes Rubies is the person who drives the Audi.\n\nQuestion: What position is the person who smokes Newport at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:192", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone likes a different physical activity: running, paragliding, snorkeling, bungee jumping, weight lifting, base jumping, biking, scuba diving.\nEveryone has a different favorite hobby: bird watching, parkour, metal detecting, gardening, painting, kayaking, cheese making, photography.\nEveryone reads a different genre of books: science fiction, romance, fantasy, spiritual, short story, history, mystery, humor.\nEveryone has a different profession: teacher, designer, athlete, architect, actor, doctor, artist, singer.\nEveryone plays a different musical instrument: harmonica, flute, guitar, oboe, violin, cello, piano, saxophone.\nEveryone is a different nationality: Belarusian, Swede, Russian, Brit, Sri Lankan, Portuguese, Croatian, Indian.\nEveryone plays a different sport: badminton, soccer, squash, cricket, baseball, ice hockey, tennis, volleyball.\nEveryone supports a different NBA team: Knicks, Bucks, Lakers, Hawks, Cavaliers, Warriors, Celtics, Mavericks.\nUsing the clues provided below, answer the question at the end.\nClue 1: The badminton player is next to the person who supports the Lakers.\nClue 2: The person who likes base jumping is somewhere in between the person who reads romance books and the Belarusian in that order.\nClue 3: The person who likes gardening is the Belarusian.\nClue 4: The person who likes snorkeling is somewhere to the left of the squash player.\nClue 5: The badminton player is next to the Swede.\nClue 6: The singer is next to the person at the 4th position.\nClue 7: The saxophone player is the singer.\nClue 8: The soccer player is somewhere in between the person who reads mystery books and the person who reads spiritual books in that order.\nClue 9: The person who reads humor books is immediately to the left of the Swede.\nClue 10: The artist is the harmonica player.\nClue 11: The person who reads science fiction books is the person at the 2nd position.\nClue 12: The Portuguese is next to the Brit.\nClue 13: The Indian is the person who likes base jumping.\nClue 14: The person who likes snorkeling is the cello player.\nClue 15: The Brit is at one of the ends.\nClue 16: The person who likes metal detecting is the person who supports the Bucks.\nClue 17: The person who likes snorkeling is somewhere in between the guitar player and the singer in that order.\nClue 18: The person who likes bird watching is somewhere to the left of the violin player.\nClue 19: The person who likes kayaking is next to the person who likes metal detecting.\nClue 20: The person who reads fantasy books is immediately to the left of the person who likes paragliding.\nClue 21: The ice hockey player is immediately to the left of the flute player.\nClue 22: The violin player is at one of the ends.\nClue 23: The artist is the person who reads spiritual books.\nClue 24: The person who likes paragliding is next to the soccer player.\nClue 25: The person who likes biking is the person who likes parkour.\nClue 26: The person who reads history books is at one of the ends.\nClue 27: The harmonica player is immediately to the left of the person who likes gardening.\nClue 28: The person who supports the Celtics is immediately to the left of the volleyball player.\nClue 29: The person who likes weight lifting is the person who reads short story books.\nClue 30: The person who supports the Warriors is immediately to the left of the person who reads fantasy books.\nClue 31: The person who likes kayaking is at one of the ends.\nClue 32: The person who supports the Cavaliers is the Croatian.\nClue 33: The person who likes parkour is the singer.\nClue 34: The violin player is the person who supports the Hawks.\nClue 35: The person who likes bird watching is next to the oboe player.\nClue 36: The person who supports the Hawks is next to the athlete.\nClue 37: The singer is immediately to the left of the person who likes running.\nClue 38: The singer is somewhere in between the architect and the person who likes paragliding in that order.\nClue 39: The actor is the Sri Lankan.\nClue 40: The person who reads fantasy books is the person at the 4th position.\nClue 41: The baseball player is the guitar player.\nClue 42: The designer is the volleyball player.\nClue 43: The person who reads fantasy books is the person who supports the Knicks.\nClue 44: The architect is at one of the ends.\nClue 45: The person who reads humor books is the person who likes scuba diving.\nClue 46: The Swede is the volleyball player.\nClue 47: The volleyball player is the person who likes photography.\nClue 48: The Indian is the tennis player.\nClue 49: The person who likes weight lifting is the person at the 8th position.\nClue 50: The person who likes painting is the teacher.\nClue 51: The person who likes cheese making is somewhere in between the oboe player and the person who reads humor books in that order.\n\nQuestion: What position is the person who supports the Warriors at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:196", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone likes a different type of flower: dahlias, roses, daffodils, daisies, begonias, peonies, orchids, marigolds.\nEveryone supports a different NBA team: Mavericks, Hawks, Bucks, Cavaliers, Warriors, Bulls, Celtics, Lakers.\nEveryone likes a different physical activity: bungee jumping, swimming, snorkeling, scuba diving, hiking, paragliding, weight lifting, biking.\nEveryone has a different name: Joseph, Mallika, Yair, Maven, Bob, Ali, Randy, Tao.\nEveryone plays a different sport: basketball, badminton, baseball, volleyball, ice hockey, squash, soccer, tennis.\nEveryone has a different profession: teacher, designer, architect, actor, singer, chef, programmer, dancer.\nEveryone drives a different motorbike: Honda, Kawasaki, Buell, Harley-Davidson, Benelli, Suzuki, Bajaj, Yamaha.\nEveryone drinks a different drink: hot chocolate, iced tea, beer, coffee, orange juice, tea, water, iced coffee.\nUsing the clues provided below, answer the question at the end.\nClue 1: The baseball player is somewhere to the left of Randy.\nClue 2: The person who drinks hot chocolate is next to the person who drinks orange juice.\nClue 3: The person who drives the Bajaj is the person who likes daffodils.\nClue 4: The person who drives the Yamaha is at one of the ends.\nClue 5: The dancer is the person who likes roses.\nClue 6: The person who supports the Hawks is the person who likes biking.\nClue 7: The person who drives the Buell is next to the programmer.\nClue 8: The squash player is immediately to the left of Maven.\nClue 9: The person who likes swimming is the soccer player.\nClue 10: The person who likes weight lifting is the person at the 2nd position.\nClue 11: The person who drives the Benelli is somewhere in between the ice hockey player and the person who drinks beer in that order.\nClue 12: The person who likes bungee jumping is the squash player.\nClue 13: The person who supports the Celtics is the person who drives the Bajaj.\nClue 14: The baseball player is immediately to the left of Joseph.\nClue 15: The ice hockey player is next to the person who likes peonies.\nClue 16: The person who likes peonies is the person who likes scuba diving.\nClue 17: The person who likes daffodils is the person at the 7th position.\nClue 18: The person who drives the Benelli is the person who likes marigolds.\nClue 19: The person who drinks beer is somewhere in between the teacher and the person who drinks coffee in that order.\nClue 20: The person who drinks water is the basketball player.\nClue 21: The designer is the person who likes orchids.\nClue 22: The person who drinks tea is immediately to the left of the person who supports the Mavericks.\nClue 23: The basketball player is next to the ice hockey player.\nClue 24: The person who likes paragliding is immediately to the left of the person who likes hiking.\nClue 25: The person who likes swimming is the person who drinks orange juice.\nClue 26: The singer is the person who drives the Suzuki.\nClue 27: Ali is next to the person who likes weight lifting.\nClue 28: The person who drinks orange juice is the person who supports the Warriors.\nClue 29: The chef is Mallika.\nClue 30: The person who drinks iced tea is at one of the ends.\nClue 31: The person who likes snorkeling is next to the person who supports the Hawks.\nClue 32: The squash player is the designer.\nClue 33: The person who likes paragliding is immediately to the left of Mallika.\nClue 34: The person who likes bungee jumping is next to the person who likes daisies.\nClue 35: The person who drives the Buell is at one of the ends.\nClue 36: The baseball player is next to the person who drives the Benelli.\nClue 37: The person who likes begonias is next to the person who supports the Warriors.\nClue 38: The dancer is the person who drinks coffee.\nClue 39: Tao is at one of the ends.\nClue 40: The person who supports the Bulls is immediately to the left of the person who supports the Bucks.\nClue 41: The ice hockey player is somewhere to the left of Yair.\nClue 42: Tao is immediately to the left of the person who drinks tea.\nClue 43: The teacher is the person who likes marigolds.\nClue 44: The person who drives the Harley-Davidson is the person who supports the Lakers.\nClue 45: The chef is the person who drives the Harley-Davidson.\nClue 46: The person who likes daffodils is next to the soccer player.\nClue 47: The person who drinks iced coffee is the person who drives the Kawasaki.\nClue 48: The person who supports the Bulls is not the person who likes weight lifting.\nClue 49: The person who drinks iced tea is next to the actor.\nClue 50: The person who drives the Bajaj is the volleyball player.\nClue 51: The squash player is immediately to the left of the tennis player.\nClue 52: The person who supports the Celtics is somewhere to the left of the person who supports the Hawks.\nClue 53: The person who likes bungee jumping is at one of the ends.\nClue 54: The person who supports the Hawks is next to the person who drinks beer.\nClue 55: The person who likes biking is next to Randy.\n\nQuestion: What position is the person who likes weight lifting at?", "response_contract": { "max_length": 2048, "type": "exact_string" } }, { "id": "bbeh:zebra_puzzles:198", "request": "There are 8 people next to each other in a row in positions 1, 2, 3, 4, 5, 6, 7, 8 who have the following characteristics.\nEveryone supports a different NFL team: Seattle Seahawks, Tennessee Titans, Pittsburgh Steelers, Cincinnati Bengals, Buffalo Bills, Chicago Bears, Miami Dolphins, Dallas Cowboys.\nEveryone lives in a different colored house: red, purple, green, magenta, grey, cyan, orange, pink.\nEveryone owns a different handbag brand: Tory Burch, Michael Kors, Dolce and Gabbana, Kate Spade, Tumi, Versace, Balenciaga, Gucci.\nEveryone reads a different genre of books: romance, fantasy, mystery, spiritual, history, science fiction, magical realism, humor.\nEveryone likes a different favorite animal: doves, oscars, snakes, catfish, rabbits, otters, ostriches, bees.\nEveryone drives a different motorbike: Piaggio, Benelli, Yamaha, Buell, Ducati, Kawasaki, Suzuki, Bajaj.\nEveryone is a different nationality: Italian, Hungarian, Chilean, Chinese, Turkish, Russian, Croatian, American.\nEveryone likes a different food: pizza, pasta, fried rice, noodles, sandwiches, tacos, kebabs, curry.\nUsing the clues provided below, answer the question at the end.\nClue 1: The person who owns a Tumi is at one of the ends.\nClue 2: The person who owns a Michael Kors is somewhere to the left of the person who drives the Buell.\nClue 3: The person who reads fantasy books is at one of the ends.\nClue 4: The person who reads magical realism books is somewhere in between the person who reads science fiction books and the person who likes doves in that order.\nClue 5: The person who supports the Tennessee Titans is immediately to the left of the person who drives the Piaggio.\nClue 6: The person who likes tacos is the person who reads science fiction books.\nClue 7: The American is next to the person who likes ostriches.\nClue 8: The person who lives in the green house is at one of the ends.\nClue 9: The person who supports the Cincinnati Bengals is the person who owns a Michael Kors.\nClue 10: The person who reads spiritual books is the Russian.\nClue 11: The person who likes bees is the person who likes pasta.\nClue 12: The Italian is the person who reads history books.\nClue 13: The person who likes tacos is somewhere in between the person who supports the Pittsburgh Steelers and the person who supports the Tennessee Titans in that order.\nClue 14: The person who likes doves is somewhere in between the person who likes bees and the person who owns a Balenciaga in that order.\nClue 15: The Croatian is next to the person who drives the Yamaha.\nClue 16: The person who supports the Pittsburgh Steelers is the person who drives the Suzuki.\nClue 17: The person who owns a Gucci is somewhere to the left of the person who owns a Versace.\nClue 18: The person who reads fantasy books is not the person who likes kebabs.\nClue 19: The person who likes curry is at one of the ends.\nClue 20: The person who lives in the orange house is the person who supports the Dallas Cowboys.\nClue 21: The American is next to the Chinese.\nClue 22: The person who likes catfish is at one of the ends.\nClue 23: The person who supports the Miami Dolphins is at one of the ends.\nClue 24: The person who likes sandwiches is the person who owns a Kate Spade.\nClue 25: The person who reads science fiction books is immediately to the left of the person who owns a Tory Burch.\nClue 26: The person who supports the Chicago Bears is somewhere in between the Croatian and the person who lives in the grey house in that order.\nClue 27: The person who reads humor books is somewhere to the left of the person who likes kebabs.\nClue 28: The person who likes catfish is immediately to the left of the person who reads mystery books.\nClue 29: The person who supports the Buffalo Bills is immediately to the left of the person at the 2nd position.\nClue 30: The person at the 6th position is the Turkish.\nClue 31: The person who reads humor books is somewhere in between the person who lives in the magenta house and the person who lives in the red house in that order.\nClue 32: The person who likes snakes is at one of the ends.\nClue 33: The person who reads spiritual books is at one of the ends.\nClue 34: The person who lives in the red house is at one of the ends.\nClue 35: The person who likes ostriches is immediately to the left of the person who likes oscars.\nClue 36: The person at the 5th position is somewhere to the left of the person who reads humor books.\nClue 37: The person who lives in the grey house is next to the person who lives in the orange house.\nClue 38: The person at the 4th position is immediately to the left of the person who lives in the grey house.\nClue 39: The person who lives in the cyan house is immediately to the left of the person who owns a Dolce and Gabbana.\nClue 40: The Turkish is the person who owns a Tory Burch.\nClue 41: The person who lives in the pink house is the Italian.\nClue 42: The person who owns a Versace is next to the person who likes ostriches.\nClue 43: The person who reads fantasy books is the person who drives the Yamaha.\nClue 44: The person who reads romance books is somewhere in between the person who likes bees and the person who likes kebabs in that order.\nClue 45: The person who likes fried rice is the person who supports the Chicago Bears.\nClue 46: The person who reads humor books is the person who drives the Benelli.\nClue 47: The person who drives the Ducati is somewhere in between the person who lives in the cyan house and the person who supports the Dallas Cowboys in that order.\nClue 48: The person who drives the Bajaj is immediately to the left of the person who lives in the purple house.\nClue 49: The person who likes otters is somewhere to the left of the Turkish.\nClue 50: The person who likes pizza is somewhere to the left of the person at the 5th position.\nClue 51: The person who drives the Ducati is somewhere to the left of the Hungarian.\nClue 52: The person who reads history books is the person who likes ostriches.\nClue 53: The person who drives the Buell is immediately to the left of the person who reads romance books.\n\nQuestion: What position is the Russian at?", "response_contract": { "max_length": 2048, "type": "exact_string" } } ]